03_Team_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b30d6f27",
   "metadata": {},
   "source": [
    "# English Premier League VAR Analysis\n",
    "## Part 3 - Analysis of Teams' VAR Incident Statistics\n",
    "___"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "834146e2",
   "metadata": {},
   "source": [
    "**Questions**\n",
    "- Do the big 6 teams have more decisions in (or against) their favour? **[DONE]**\n",
    "- Which team is involved in the most VAR incidents? Which team had the most FOR decisions, and which team had the most AGAINST decisions **[DONE]**\n",
    "- What is the impact of VAR for decisions on the team's final league position and points tally? **[DONE]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c87b6885",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import re\n",
    "import difflib\n",
    "import seaborn as sns\n",
    "\n",
    "from collections import Counter\n",
    "from datetime import datetime as dt\n",
    "from scipy.stats import ttest_ind\n",
    "\n",
    "pd.options.display.max_rows = 500"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d971657e",
   "metadata": {},
   "source": [
    "### Data Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7b7c41b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "file_date = '20210524'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c0d5fbdb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Import team stats dataset\n",
    "teamstats_df = pd.read_csv(f'data/EPL_VAR_Team_Stats_Raw_{file_date}.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "851aa276",
   "metadata": {},
   "outputs": [],
   "source": [
    "# NOT using this method because of misspellings in incidents column (from original data). To use\n",
    "# VAR decisions tally directly from the website\n",
    "\n",
    "# # Add column of decisions FOR and decisions AGAINST (from incidents data)\n",
    "# incidents_df_raw = pd.read_csv('data/EPL_VAR_Incidents_Processed_20210510.csv')\n",
    "\n",
    "# incidents_df_1 = incidents_df_raw[['team', 'year', 'team_decision', 'incident']]\n",
    "# incidents_df_2 = incidents_df_raw[['opposition', 'year', 'opposition_decision', 'incident']]\n",
    "\n",
    "# incidents_df_2.columns = incidents_df_1.columns\n",
    "# incidents_df = pd.concat([incidents_df_1, incidents_df_2])\n",
    "# incidents_df.reset_index(drop=True, inplace=True)\n",
    "# incidents_df\n",
    "\n",
    "# # Create pivot table and reset index\n",
    "# decision_count = incidents_df.pivot_table(index=['team', 'year'], columns='team_decision', aggfunc='size', fill_value=0)\n",
    "# decision_count = decision_count.rename_axis(None, axis=1).reset_index(drop=False)\n",
    "# decision_count.columns = ['team_name', 'year', 'decisions_against', \n",
    "#                           'decisions_for', 'decisions_neutral']\n",
    "\n",
    "# Clean up decisions and incidents columns\n",
    "# for i, row in incidents_df.iterrows():\n",
    "#     if row['team_decision'] not in ['For', 'Against', 'Neutral']:\n",
    "#         incidents_df.loc[i, 'team_decision'] = 'Neutral'\n",
    "        \n",
    "#     text = row['incident']\n",
    "#     text_clean = text.split(\" - \")[0]  # Remove the - FOR and - AGAINST strings\n",
    "#     incidents_df.loc[i, 'incident'] = text_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "faee90f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create helper function to rename team names so that they can be merged\n",
    "def rename_team_names(df, col_name):  \n",
    "    for i, row in df.iterrows():\n",
    "        if row[col_name] == 'Brighton':\n",
    "            df.loc[i, col_name] = 'Brighton & Hove Albion'\n",
    "        if row[col_name] == 'Leicester':\n",
    "            df.loc[i, col_name] = 'Leicester City'\n",
    "        if row[col_name] == 'Man City':\n",
    "            df.loc[i, col_name] = 'Manchester City'\n",
    "        if row[col_name] == 'Man United':\n",
    "            df.loc[i, col_name] = 'Manchester United'\n",
    "        if row[col_name] == 'Newcastle':\n",
    "            df.loc[i, col_name] = 'Newcastle United'\n",
    "        if row[col_name] == 'Tottenham':\n",
    "            df.loc[i, col_name] = 'Tottenham Hotspur'\n",
    "        if row[col_name] == 'WBA':\n",
    "            df.loc[i, col_name] = 'West Bromwich Albion'\n",
    "        if row[col_name] == 'West Brom':\n",
    "            df.loc[i, col_name] = 'West Bromwich Albion'\n",
    "        if row[col_name] == 'Norwich':\n",
    "            df.loc[i, col_name] = 'Norwich City'\n",
    "        if row[col_name] == 'AFC Bournemouth':\n",
    "            df.loc[i, col_name] = 'Bournemouth'\n",
    "        if row[col_name] == 'Wolves':\n",
    "            df.loc[i, col_name] = 'Wolverhampton Wanderers'\n",
    "        if row[col_name] == 'Leeds':\n",
    "            df.loc[i, col_name] = 'Leeds United'\n",
    "        if row[col_name] == 'West Ham':\n",
    "            df.loc[i, col_name] = 'West Ham United'\n",
    "            \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2c67ac13",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>year</th>\n",
       "      <th>decisions_for</th>\n",
       "      <th>decisions_against</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Fulham</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Everton</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Everton</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Norwich City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Watford</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                  team_name       year  decisions_for  decisions_against\n",
       "0    Brighton & Hove Albion  2020/2021              9                  8\n",
       "1                    Fulham  2020/2021              9                  6\n",
       "2            Leicester City  2020/2021              9                  7\n",
       "3         Manchester United  2020/2021              9                  9\n",
       "4                   Chelsea  2020/2021              8                  5\n",
       "5               Aston Villa  2020/2021              7                  5\n",
       "6                 Liverpool  2020/2021              7                 13\n",
       "7          Sheffield United  2020/2021              7                  4\n",
       "8               Southampton  2020/2021              7                  7\n",
       "9         Tottenham Hotspur  2020/2021              7                 10\n",
       "10           Crystal Palace  2020/2021              6                  5\n",
       "11                  Everton  2020/2021              6                  2\n",
       "12                  Burnley  2020/2021              5                  1\n",
       "13             Leeds United  2020/2021              5                  4\n",
       "14          Manchester City  2020/2021              5                  4\n",
       "15         Newcastle United  2020/2021              5                  5\n",
       "16          West Ham United  2020/2021              5                  6\n",
       "17  Wolverhampton Wanderers  2020/2021              4                  7\n",
       "18                  Arsenal  2020/2021              3                  9\n",
       "19     West Bromwich Albion  2020/2021              3                  9\n",
       "20   Brighton & Hove Albion  2019/2020             10                  2\n",
       "21        Manchester United  2019/2020             10                  3\n",
       "22           Crystal Palace  2019/2020              8                  4\n",
       "23           Leicester City  2019/2020              8                  7\n",
       "24          Manchester City  2019/2020              8                  8\n",
       "25              Southampton  2019/2020              8                  5\n",
       "26        Tottenham Hotspur  2019/2020              8                  7\n",
       "27                  Burnley  2019/2020              7                  4\n",
       "28          West Ham United  2019/2020              6                 10\n",
       "29              Bournemouth  2019/2020              5                  7\n",
       "30                  Chelsea  2019/2020              5                  7\n",
       "31                Liverpool  2019/2020              5                  3\n",
       "32                  Arsenal  2019/2020              4                  5\n",
       "33                  Everton  2019/2020              3                  4\n",
       "34         Newcastle United  2019/2020              3                  0\n",
       "35         Sheffield United  2019/2020              3                  8\n",
       "36              Aston Villa  2019/2020              2                  5\n",
       "37             Norwich City  2019/2020              2                  9\n",
       "38                  Watford  2019/2020              2                  4\n",
       "39  Wolverhampton Wanderers  2019/2020              2                  7"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decision_count = pd.read_csv(f'./data/EPL_VAR_Decisions_{file_date}.csv')\n",
    "decision_count = rename_team_names(decision_count, 'team')\n",
    "decision_count = decision_count.rename(columns={'team': 'team_name'})\n",
    "decision_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "898f64a6",
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    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>year</th>\n",
       "      <th>net_score</th>\n",
       "      <th>decisions_for</th>\n",
       "      <th>decisions_against</th>\n",
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       "      <th>leading_to_goals_against</th>\n",
       "      <th>disallowed_goals_for</th>\n",
       "      <th>disallowed_goals_against</th>\n",
       "      <th>net_goal_score</th>\n",
       "      <th>subj_decisions_for</th>\n",
       "      <th>subj_decisions_against</th>\n",
       "      <th>net_subjective_score</th>\n",
       "      <th>penalties_for</th>\n",
       "      <th>penalties_against</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-6</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>-3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-3</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>-3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Everton</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Everton</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Fulham</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-6</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>-7</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>-3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Norwich City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-7</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-4</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>-4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-5</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>-4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>-3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-3</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>-2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>-2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Watford</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-6</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>-5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-4</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>-5</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-5</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>-3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>-3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  team_name       year  net_score  decisions_for  \\\n",
       "37                  Arsenal  2020/2021         -6              3   \n",
       "10                  Arsenal  2019/2020         -1              4   \n",
       "15              Aston Villa  2019/2020         -3              2   \n",
       "25              Aston Villa  2020/2021          2              7   \n",
       "12              Bournemouth  2019/2020         -2              5   \n",
       "0    Brighton & Hove Albion  2019/2020          8             10   \n",
       "27   Brighton & Hove Albion  2020/2021          1              9   \n",
       "3                   Burnley  2019/2020          3              7   \n",
       "20                  Burnley  2020/2021          4              5   \n",
       "22                  Chelsea  2020/2021          3              8   \n",
       "13                  Chelsea  2019/2020         -2              5   \n",
       "28           Crystal Palace  2020/2021          1              6   \n",
       "2            Crystal Palace  2019/2020          4              8   \n",
       "11                  Everton  2019/2020         -1              3   \n",
       "21                  Everton  2020/2021          4              6   \n",
       "23                   Fulham  2020/2021          3              9   \n",
       "29             Leeds United  2020/2021          1              5   \n",
       "7            Leicester City  2019/2020          1              8   \n",
       "26           Leicester City  2020/2021          2              9   \n",
       "6                 Liverpool  2019/2020          2              5   \n",
       "38                Liverpool  2020/2021         -6              7   \n",
       "30          Manchester City  2020/2021          1              5   \n",
       "9           Manchester City  2019/2020          0              8   \n",
       "31        Manchester United  2020/2021          0              9   \n",
       "1         Manchester United  2019/2020          7             10   \n",
       "32         Newcastle United  2020/2021          0              5   \n",
       "4          Newcastle United  2019/2020          3              3   \n",
       "19             Norwich City  2019/2020         -7              2   \n",
       "17         Sheffield United  2019/2020         -5              3   \n",
       "24         Sheffield United  2020/2021          3              7   \n",
       "33              Southampton  2020/2021          0              7   \n",
       "5               Southampton  2019/2020          3              8   \n",
       "8         Tottenham Hotspur  2019/2020          1              8   \n",
       "35        Tottenham Hotspur  2020/2021         -3              7   \n",
       "14                  Watford  2019/2020         -2              2   \n",
       "39     West Bromwich Albion  2020/2021         -6              3   \n",
       "16          West Ham United  2019/2020         -4              6   \n",
       "34          West Ham United  2020/2021         -1              5   \n",
       "18  Wolverhampton Wanderers  2019/2020         -5              2   \n",
       "36  Wolverhampton Wanderers  2020/2021         -3              4   \n",
       "\n",
       "    decisions_against  overturns_total  overturns_rejected  \\\n",
       "37                  9               12                   0   \n",
       "10                  5                9                   0   \n",
       "15                  5                7                   0   \n",
       "25                  5               11                   1   \n",
       "12                  7               12                   0   \n",
       "0                   2               12                   0   \n",
       "27                  8               16                   1   \n",
       "3                   4               11                   0   \n",
       "20                  1                7                   0   \n",
       "22                  5               13                   1   \n",
       "13                  7               12                   0   \n",
       "28                  5               10                   1   \n",
       "2                   4               12                   0   \n",
       "11                  4                7                   0   \n",
       "21                  2                7                   1   \n",
       "23                  6               14                   1   \n",
       "29                  4                9                   0   \n",
       "7                   7               15                   0   \n",
       "26                  7               16                   0   \n",
       "6                   3                8                   0   \n",
       "38                 13               18                   2   \n",
       "30                  4                9                   0   \n",
       "9                   8               16                   0   \n",
       "31                  9               18                   1   \n",
       "1                   3               13                   0   \n",
       "32                  5               10                   0   \n",
       "4                   0                3                   0   \n",
       "19                  9               11                   0   \n",
       "17                  8               11                   0   \n",
       "24                  4               11                   0   \n",
       "33                  7               14                   0   \n",
       "5                   5               13                   0   \n",
       "8                   7               15                   0   \n",
       "35                 10               16                   1   \n",
       "14                  4                6                   0   \n",
       "39                  9               12                   0   \n",
       "16                 10               16                   0   \n",
       "34                  6               12                   0   \n",
       "18                  7                9                   0   \n",
       "36                  7               11                   0   \n",
       "\n",
       "    leading_to_goals_for  leading_to_goals_against  disallowed_goals_for  \\\n",
       "37                     1                         1                     2   \n",
       "10                     4                         1                     2   \n",
       "15                     0                         1                     3   \n",
       "25                     0                         0                     3   \n",
       "12                     2                         1                     5   \n",
       "0                      2                         0                     2   \n",
       "27                     2                         3                     3   \n",
       "3                      2                         1                     3   \n",
       "20                     1                         0                     1   \n",
       "22                     4                         0                     2   \n",
       "13                     2                         2                     4   \n",
       "28                     2                         1                     0   \n",
       "2                      3                         0                     4   \n",
       "11                     2                         1                     2   \n",
       "21                     2                         0                     1   \n",
       "23                     1                         1                     2   \n",
       "29                     1                         1                     2   \n",
       "7                      1                         1                     3   \n",
       "26                     5                         3                     2   \n",
       "6                      1                         0                     3   \n",
       "38                     0                         3                     7   \n",
       "30                     2                         1                     2   \n",
       "9                      3                         2                     4   \n",
       "31                     3                         1                     3   \n",
       "1                      1                         2                     0   \n",
       "32                     2                         3                     1   \n",
       "4                      1                         0                     0   \n",
       "19                     0                         2                     2   \n",
       "17                     0                         1                     5   \n",
       "24                     3                         1                     0   \n",
       "33                     2                         1                     3   \n",
       "5                      0                         1                     0   \n",
       "8                      1                         1                     4   \n",
       "35                     2                         5                     4   \n",
       "14                     1                         2                     1   \n",
       "39                     0                         4                     0   \n",
       "16                     1                         5                     5   \n",
       "34                     2                         1                     1   \n",
       "18                     1                         1                     4   \n",
       "36                     0                         3                     2   \n",
       "\n",
       "    disallowed_goals_against  net_goal_score  subj_decisions_for  \\\n",
       "37                         2               0                   2   \n",
       "10                         0               1                   1   \n",
       "15                         1              -3                   2   \n",
       "25                         3               0                   5   \n",
       "12                         1              -3                   2   \n",
       "0                          7               7                   2   \n",
       "27                         3              -1                   4   \n",
       "3                          4               2                   4   \n",
       "20                         1              -1                   3   \n",
       "22                         0               2                   3   \n",
       "13                         2              -2                   4   \n",
       "28                         1               0                   4   \n",
       "2                          1               2                   6   \n",
       "11                         1               0                   2   \n",
       "21                         1               2                   3   \n",
       "23                         5               3                   5   \n",
       "29                         1              -1                   3   \n",
       "7                          4               1                   3   \n",
       "26                         2               2                   4   \n",
       "6                          4               2                   1   \n",
       "38                         3              -7                   3   \n",
       "30                         0              -1                   2   \n",
       "9                          2              -1                   4   \n",
       "31                         1               0                   7   \n",
       "1                          7               6                   6   \n",
       "32                         1              -1                   3   \n",
       "4                          0               1                   2   \n",
       "19                         2              -4                   1   \n",
       "17                         2              -4                   1   \n",
       "24                         3               5                   2   \n",
       "33                         4               0                   3   \n",
       "5                          7               6                   1   \n",
       "8                          6               2                   3   \n",
       "35                         5              -2                   3   \n",
       "14                         1              -1                   1   \n",
       "39                         2              -2                   1   \n",
       "16                         4              -5                   2   \n",
       "34                         3               3                   2   \n",
       "18                         1              -3                   2   \n",
       "36                         2              -3                   1   \n",
       "\n",
       "    subj_decisions_against  net_subjective_score  penalties_for  \\\n",
       "37                       3                    -1            1.0   \n",
       "10                       4                    -3            NaN   \n",
       "15                       3                    -1            NaN   \n",
       "25                       3                     2            0.0   \n",
       "12                       4                    -2            NaN   \n",
       "0                        0                     2            NaN   \n",
       "27                       4                     0            2.0   \n",
       "3                        2                     2            NaN   \n",
       "20                       0                     3            1.0   \n",
       "22                       1                     2            2.0   \n",
       "13                       4                     0            NaN   \n",
       "28                       4                     0            2.0   \n",
       "2                        2                     4            NaN   \n",
       "11                       2                     0            NaN   \n",
       "21                       0                     3            1.0   \n",
       "23                       5                     0            2.0   \n",
       "29                       2                     1            0.0   \n",
       "7                        3                     0            NaN   \n",
       "26                       3                     1            4.0   \n",
       "6                        1                     0            NaN   \n",
       "38                       6                    -3            0.0   \n",
       "30                       2                     0            1.0   \n",
       "9                        4                     0            NaN   \n",
       "31                       3                     4            3.0   \n",
       "1                        2                     4            NaN   \n",
       "32                       3                     0            2.0   \n",
       "4                        0                     2            NaN   \n",
       "19                       5                    -4            NaN   \n",
       "17                       2                    -1            NaN   \n",
       "24                       3                    -1            3.0   \n",
       "33                       3                     0            2.0   \n",
       "5                        4                    -3            NaN   \n",
       "8                        3                     0            NaN   \n",
       "35                       5                    -2            2.0   \n",
       "14                       3                    -2            NaN   \n",
       "39                       6                    -5            0.0   \n",
       "16                       1                     1            NaN   \n",
       "34                       2                     0            1.0   \n",
       "18                       1                     1            NaN   \n",
       "36                       4                    -3            0.0   \n",
       "\n",
       "    penalties_against  \n",
       "37                0.0  \n",
       "10                NaN  \n",
       "15                NaN  \n",
       "25                0.0  \n",
       "12                NaN  \n",
       "0                 NaN  \n",
       "27                3.0  \n",
       "3                 NaN  \n",
       "20                0.0  \n",
       "22                0.0  \n",
       "13                NaN  \n",
       "28                1.0  \n",
       "2                 NaN  \n",
       "11                NaN  \n",
       "21                0.0  \n",
       "23                1.0  \n",
       "29                1.0  \n",
       "7                 NaN  \n",
       "26                3.0  \n",
       "6                 NaN  \n",
       "38                3.0  \n",
       "30                1.0  \n",
       "9                 NaN  \n",
       "31                1.0  \n",
       "1                 NaN  \n",
       "32                3.0  \n",
       "4                 NaN  \n",
       "19                NaN  \n",
       "17                NaN  \n",
       "24                1.0  \n",
       "33                2.0  \n",
       "5                 NaN  \n",
       "8                 NaN  \n",
       "35                4.0  \n",
       "14                NaN  \n",
       "39                2.0  \n",
       "16                NaN  \n",
       "34                1.0  \n",
       "18                NaN  \n",
       "36                2.0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combine decisions count to team stats dataframe\n",
    "teamstats_df = rename_team_names(teamstats_df, 'team_name')\n",
    "teamstats_df = pd.merge(teamstats_df, decision_count, how = 'left',\n",
    "                       on = ['team_name', 'year'])\n",
    "\n",
    "# Rearrange columns\n",
    "cols_to_shift = ['team_name', 'year', 'net_score', 'decisions_for', 'decisions_against']\n",
    "teamstats_df = teamstats_df[cols_to_shift + [c for c in teamstats_df if c not in cols_to_shift]]\n",
    "teamstats_df.sort_values(by=['team_name'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6b77b03",
   "metadata": {},
   "source": [
    "The `net_score` column serves as an additional sanity check to ensure that the dataframe is processed properly. This is done through asserting `net_score` = `decisions_for` - `decisions_against`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e89cfe9b",
   "metadata": {},
   "source": [
    "### Feature Description\n",
    "**Specifics on each of the features:**\n",
    "\n",
    "`team_name`: Name of the EPL team (categorical: 'Arsenal', 'Burnley', 'Chelsea', ...)  \n",
    "\n",
    "`net_score`: Net score to assess benefit of VAR overturns to the team (Calculated by **decisions_for** - **decisions_against**) (numeric)    \n",
    "\n",
    "`overturns_total`: Total number of overturned decisions by VAR (numeric)  \n",
    "\n",
    "`overturns_rejected`:Number of decisions rejected by the referee at the review screen (numeric)\n",
    "\n",
    "`leading_to_goals_for`:\tNumber of VAR decisions leading to goals for the team (numeric)  \n",
    "\n",
    "`leading_to_goals_against`:\tNumber of VAR decisions leading to goals against the team (numeric)  \n",
    "\n",
    "`disallowed_goals_for`:\tNumber of VAR decisions resulting in disallowed goals for the team (Detriment) (numeric)  \n",
    "\n",
    "`disallowed_goals_against`: Number of VAR decisions resulting in disallowed goals for the team's opposition (Benefit) (numeric)  \n",
    "\n",
    "`net_goal_score`: Net goal score (Calculated by **leading_to_goals_for - leading_to_goals_against + disallowed_goals_against - disallowed_goals_for**) (numeric)     \n",
    "\n",
    "`subj_decisions_for`: Number of subjective VAR decisions (i.e. referee decision) for the team (numeric)  \n",
    "\n",
    "`subj_decisions_against`: Number of subjective VAR decisions (i.e. referee decision) against the team (numeric)\t\n",
    "\n",
    "`net_subjective_score`:\tNet subjective score (`subj_decisions_for` minus `subj_decisions_against` ) (numeric)  \n",
    "\n",
    "`penalties_for`: Number of VAR decisions resulting in penalties for the team (numeric)  \t\n",
    "\n",
    "`penalties_against`: Number of VAR decisions resulting in penalties against the team (numeric)    \t \n",
    "\n",
    "`year`: EPL Season (categorical: '2019/2020', '2020/2021')  \n",
    "\n",
    "`decisions_against`: Number of VAR decisions against the team (numeric)  \n",
    "\n",
    "`decisions_for`: Number of VAR decisions for the team (numeric)  \n",
    "\n",
    "`decisions_neutral`: Number of VAR decisions neutral to the team (numeric)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08a7c32c",
   "metadata": {},
   "source": [
    "___\n",
    "## Analysis\n",
    "\n",
    "### (1) Do VAR overturn decisions favour the big six teams?\n",
    "\n",
    "##### Net score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bce99450",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Categorize big six teams (based on ESL incident in 2021)\n",
    "big_six_teams = ['Arsenal', 'Chelsea', 'Liverpool', 'Manchester City', 'Manchester United', 'Tottenham Hotspur']\n",
    "teamstats_df['big_six'] = np.where(teamstats_df['team_name'].isin(big_six_teams), 'Yes', 'No')    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7909fd44",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>year</th>\n",
       "      <th>net_score</th>\n",
       "      <th>decisions_for</th>\n",
       "      <th>decisions_against</th>\n",
       "      <th>overturns_total</th>\n",
       "      <th>overturns_rejected</th>\n",
       "      <th>leading_to_goals_for</th>\n",
       "      <th>leading_to_goals_against</th>\n",
       "      <th>disallowed_goals_for</th>\n",
       "      <th>disallowed_goals_against</th>\n",
       "      <th>net_goal_score</th>\n",
       "      <th>subj_decisions_for</th>\n",
       "      <th>subj_decisions_against</th>\n",
       "      <th>net_subjective_score</th>\n",
       "      <th>penalties_for</th>\n",
       "      <th>penalties_against</th>\n",
       "      <th>big_six</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
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       "      <td>0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
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       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>-3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>-3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Everton</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>-3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Watford</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-3</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-4</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>-5</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-5</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>-4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-5</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>-3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Norwich City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>-7</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-4</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>-4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Everton</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Fulham</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-3</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>-2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>-2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>-3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-6</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-6</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>-7</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>-3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>-6</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>-5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  team_name       year  net_score  decisions_for  \\\n",
       "0    Brighton & Hove Albion  2019/2020          8             10   \n",
       "1         Manchester United  2019/2020          7             10   \n",
       "2            Crystal Palace  2019/2020          4              8   \n",
       "3                   Burnley  2019/2020          3              7   \n",
       "4          Newcastle United  2019/2020          3              3   \n",
       "5               Southampton  2019/2020          3              8   \n",
       "6                 Liverpool  2019/2020          2              5   \n",
       "7            Leicester City  2019/2020          1              8   \n",
       "8         Tottenham Hotspur  2019/2020          1              8   \n",
       "9           Manchester City  2019/2020          0              8   \n",
       "10                  Arsenal  2019/2020         -1              4   \n",
       "11                  Everton  2019/2020         -1              3   \n",
       "12              Bournemouth  2019/2020         -2              5   \n",
       "13                  Chelsea  2019/2020         -2              5   \n",
       "14                  Watford  2019/2020         -2              2   \n",
       "15              Aston Villa  2019/2020         -3              2   \n",
       "16          West Ham United  2019/2020         -4              6   \n",
       "17         Sheffield United  2019/2020         -5              3   \n",
       "18  Wolverhampton Wanderers  2019/2020         -5              2   \n",
       "19             Norwich City  2019/2020         -7              2   \n",
       "20                  Burnley  2020/2021          4              5   \n",
       "21                  Everton  2020/2021          4              6   \n",
       "22                  Chelsea  2020/2021          3              8   \n",
       "23                   Fulham  2020/2021          3              9   \n",
       "24         Sheffield United  2020/2021          3              7   \n",
       "25              Aston Villa  2020/2021          2              7   \n",
       "26           Leicester City  2020/2021          2              9   \n",
       "27   Brighton & Hove Albion  2020/2021          1              9   \n",
       "28           Crystal Palace  2020/2021          1              6   \n",
       "29             Leeds United  2020/2021          1              5   \n",
       "30          Manchester City  2020/2021          1              5   \n",
       "31        Manchester United  2020/2021          0              9   \n",
       "32         Newcastle United  2020/2021          0              5   \n",
       "33              Southampton  2020/2021          0              7   \n",
       "34          West Ham United  2020/2021         -1              5   \n",
       "35        Tottenham Hotspur  2020/2021         -3              7   \n",
       "36  Wolverhampton Wanderers  2020/2021         -3              4   \n",
       "37                  Arsenal  2020/2021         -6              3   \n",
       "38                Liverpool  2020/2021         -6              7   \n",
       "39     West Bromwich Albion  2020/2021         -6              3   \n",
       "\n",
       "    decisions_against  overturns_total  overturns_rejected  \\\n",
       "0                   2               12                   0   \n",
       "1                   3               13                   0   \n",
       "2                   4               12                   0   \n",
       "3                   4               11                   0   \n",
       "4                   0                3                   0   \n",
       "5                   5               13                   0   \n",
       "6                   3                8                   0   \n",
       "7                   7               15                   0   \n",
       "8                   7               15                   0   \n",
       "9                   8               16                   0   \n",
       "10                  5                9                   0   \n",
       "11                  4                7                   0   \n",
       "12                  7               12                   0   \n",
       "13                  7               12                   0   \n",
       "14                  4                6                   0   \n",
       "15                  5                7                   0   \n",
       "16                 10               16                   0   \n",
       "17                  8               11                   0   \n",
       "18                  7                9                   0   \n",
       "19                  9               11                   0   \n",
       "20                  1                7                   0   \n",
       "21                  2                7                   1   \n",
       "22                  5               13                   1   \n",
       "23                  6               14                   1   \n",
       "24                  4               11                   0   \n",
       "25                  5               11                   1   \n",
       "26                  7               16                   0   \n",
       "27                  8               16                   1   \n",
       "28                  5               10                   1   \n",
       "29                  4                9                   0   \n",
       "30                  4                9                   0   \n",
       "31                  9               18                   1   \n",
       "32                  5               10                   0   \n",
       "33                  7               14                   0   \n",
       "34                  6               12                   0   \n",
       "35                 10               16                   1   \n",
       "36                  7               11                   0   \n",
       "37                  9               12                   0   \n",
       "38                 13               18                   2   \n",
       "39                  9               12                   0   \n",
       "\n",
       "    leading_to_goals_for  leading_to_goals_against  disallowed_goals_for  \\\n",
       "0                      2                         0                     2   \n",
       "1                      1                         2                     0   \n",
       "2                      3                         0                     4   \n",
       "3                      2                         1                     3   \n",
       "4                      1                         0                     0   \n",
       "5                      0                         1                     0   \n",
       "6                      1                         0                     3   \n",
       "7                      1                         1                     3   \n",
       "8                      1                         1                     4   \n",
       "9                      3                         2                     4   \n",
       "10                     4                         1                     2   \n",
       "11                     2                         1                     2   \n",
       "12                     2                         1                     5   \n",
       "13                     2                         2                     4   \n",
       "14                     1                         2                     1   \n",
       "15                     0                         1                     3   \n",
       "16                     1                         5                     5   \n",
       "17                     0                         1                     5   \n",
       "18                     1                         1                     4   \n",
       "19                     0                         2                     2   \n",
       "20                     1                         0                     1   \n",
       "21                     2                         0                     1   \n",
       "22                     4                         0                     2   \n",
       "23                     1                         1                     2   \n",
       "24                     3                         1                     0   \n",
       "25                     0                         0                     3   \n",
       "26                     5                         3                     2   \n",
       "27                     2                         3                     3   \n",
       "28                     2                         1                     0   \n",
       "29                     1                         1                     2   \n",
       "30                     2                         1                     2   \n",
       "31                     3                         1                     3   \n",
       "32                     2                         3                     1   \n",
       "33                     2                         1                     3   \n",
       "34                     2                         1                     1   \n",
       "35                     2                         5                     4   \n",
       "36                     0                         3                     2   \n",
       "37                     1                         1                     2   \n",
       "38                     0                         3                     7   \n",
       "39                     0                         4                     0   \n",
       "\n",
       "    disallowed_goals_against  net_goal_score  subj_decisions_for  \\\n",
       "0                          7               7                   2   \n",
       "1                          7               6                   6   \n",
       "2                          1               2                   6   \n",
       "3                          4               2                   4   \n",
       "4                          0               1                   2   \n",
       "5                          7               6                   1   \n",
       "6                          4               2                   1   \n",
       "7                          4               1                   3   \n",
       "8                          6               2                   3   \n",
       "9                          2              -1                   4   \n",
       "10                         0               1                   1   \n",
       "11                         1               0                   2   \n",
       "12                         1              -3                   2   \n",
       "13                         2              -2                   4   \n",
       "14                         1              -1                   1   \n",
       "15                         1              -3                   2   \n",
       "16                         4              -5                   2   \n",
       "17                         2              -4                   1   \n",
       "18                         1              -3                   2   \n",
       "19                         2              -4                   1   \n",
       "20                         1              -1                   3   \n",
       "21                         1               2                   3   \n",
       "22                         0               2                   3   \n",
       "23                         5               3                   5   \n",
       "24                         3               5                   2   \n",
       "25                         3               0                   5   \n",
       "26                         2               2                   4   \n",
       "27                         3              -1                   4   \n",
       "28                         1               0                   4   \n",
       "29                         1              -1                   3   \n",
       "30                         0              -1                   2   \n",
       "31                         1               0                   7   \n",
       "32                         1              -1                   3   \n",
       "33                         4               0                   3   \n",
       "34                         3               3                   2   \n",
       "35                         5              -2                   3   \n",
       "36                         2              -3                   1   \n",
       "37                         2               0                   2   \n",
       "38                         3              -7                   3   \n",
       "39                         2              -2                   1   \n",
       "\n",
       "    subj_decisions_against  net_subjective_score  penalties_for  \\\n",
       "0                        0                     2            NaN   \n",
       "1                        2                     4            NaN   \n",
       "2                        2                     4            NaN   \n",
       "3                        2                     2            NaN   \n",
       "4                        0                     2            NaN   \n",
       "5                        4                    -3            NaN   \n",
       "6                        1                     0            NaN   \n",
       "7                        3                     0            NaN   \n",
       "8                        3                     0            NaN   \n",
       "9                        4                     0            NaN   \n",
       "10                       4                    -3            NaN   \n",
       "11                       2                     0            NaN   \n",
       "12                       4                    -2            NaN   \n",
       "13                       4                     0            NaN   \n",
       "14                       3                    -2            NaN   \n",
       "15                       3                    -1            NaN   \n",
       "16                       1                     1            NaN   \n",
       "17                       2                    -1            NaN   \n",
       "18                       1                     1            NaN   \n",
       "19                       5                    -4            NaN   \n",
       "20                       0                     3            1.0   \n",
       "21                       0                     3            1.0   \n",
       "22                       1                     2            2.0   \n",
       "23                       5                     0            2.0   \n",
       "24                       3                    -1            3.0   \n",
       "25                       3                     2            0.0   \n",
       "26                       3                     1            4.0   \n",
       "27                       4                     0            2.0   \n",
       "28                       4                     0            2.0   \n",
       "29                       2                     1            0.0   \n",
       "30                       2                     0            1.0   \n",
       "31                       3                     4            3.0   \n",
       "32                       3                     0            2.0   \n",
       "33                       3                     0            2.0   \n",
       "34                       2                     0            1.0   \n",
       "35                       5                    -2            2.0   \n",
       "36                       4                    -3            0.0   \n",
       "37                       3                    -1            1.0   \n",
       "38                       6                    -3            0.0   \n",
       "39                       6                    -5            0.0   \n",
       "\n",
       "    penalties_against big_six  \n",
       "0                 NaN      No  \n",
       "1                 NaN     Yes  \n",
       "2                 NaN      No  \n",
       "3                 NaN      No  \n",
       "4                 NaN      No  \n",
       "5                 NaN      No  \n",
       "6                 NaN     Yes  \n",
       "7                 NaN      No  \n",
       "8                 NaN     Yes  \n",
       "9                 NaN     Yes  \n",
       "10                NaN     Yes  \n",
       "11                NaN      No  \n",
       "12                NaN      No  \n",
       "13                NaN     Yes  \n",
       "14                NaN      No  \n",
       "15                NaN      No  \n",
       "16                NaN      No  \n",
       "17                NaN      No  \n",
       "18                NaN      No  \n",
       "19                NaN      No  \n",
       "20                0.0      No  \n",
       "21                0.0      No  \n",
       "22                0.0     Yes  \n",
       "23                1.0      No  \n",
       "24                1.0      No  \n",
       "25                0.0      No  \n",
       "26                3.0      No  \n",
       "27                3.0      No  \n",
       "28                1.0      No  \n",
       "29                1.0      No  \n",
       "30                1.0     Yes  \n",
       "31                1.0     Yes  \n",
       "32                3.0      No  \n",
       "33                2.0      No  \n",
       "34                1.0      No  \n",
       "35                4.0     Yes  \n",
       "36                2.0      No  \n",
       "37                0.0     Yes  \n",
       "38                3.0     Yes  \n",
       "39                2.0      No  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "teamstats_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cb58cd4f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>big_six</th>\n",
       "      <th>net_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>No</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>No</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>No</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>No</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>No</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Everton</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fulham</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>Yes</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Norwich City</td>\n",
       "      <td>No</td>\n",
       "      <td>-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>No</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Watford</td>\n",
       "      <td>No</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>No</td>\n",
       "      <td>-6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>No</td>\n",
       "      <td>-5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>No</td>\n",
       "      <td>-8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  team_name big_six  net_score\n",
       "0                   Arsenal     Yes         -7\n",
       "1               Aston Villa      No         -1\n",
       "2               Bournemouth      No         -2\n",
       "3    Brighton & Hove Albion      No          9\n",
       "4                   Burnley      No          7\n",
       "5                   Chelsea     Yes          1\n",
       "6            Crystal Palace      No          5\n",
       "7                   Everton      No          3\n",
       "8                    Fulham      No          3\n",
       "9              Leeds United      No          1\n",
       "10           Leicester City      No          3\n",
       "11                Liverpool     Yes         -4\n",
       "12          Manchester City     Yes          1\n",
       "13        Manchester United     Yes          7\n",
       "14         Newcastle United      No          3\n",
       "15             Norwich City      No         -7\n",
       "16         Sheffield United      No         -2\n",
       "17              Southampton      No          3\n",
       "18        Tottenham Hotspur     Yes         -2\n",
       "19                  Watford      No         -2\n",
       "20     West Bromwich Albion      No         -6\n",
       "21          West Ham United      No         -5\n",
       "22  Wolverhampton Wanderers      No         -8"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_net_score = pd.DataFrame(teamstats_df.groupby(['team_name', 'big_six'])['net_score'].agg('sum')).reset_index(drop=False)\n",
    "df_net_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a1bfdf18",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    6.000000\n",
       "mean    -0.666667\n",
       "std      4.844241\n",
       "min     -7.000000\n",
       "25%     -3.500000\n",
       "50%     -0.500000\n",
       "75%      1.000000\n",
       "max      7.000000\n",
       "Name: net_score, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_6_net_score = df_net_score[df_net_score['big_six'] == 'Yes']\n",
    "big_6_net_score['net_score'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b874a02d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    17.000000\n",
       "mean      0.235294\n",
       "std       4.918453\n",
       "min      -8.000000\n",
       "25%      -2.000000\n",
       "50%       1.000000\n",
       "75%       3.000000\n",
       "max       9.000000\n",
       "Name: net_score, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_big_6_net_score = df_net_score[df_net_score['big_six'] == 'No']\n",
    "non_big_6_net_score['net_score'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6e4674c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.boxplot(x=\"big_six\", y=\"net_score\", data=df_net_score)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a68c137f",
   "metadata": {},
   "source": [
    "If you have two independent samples but you do not know that they have equal variance, you can use Welch's t-test.\n",
    "\n",
    "Reference: https://stackoverflow.com/questions/13404468/t-test-in-pandas/13413842"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "64f6d15d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ttest_indResult(statistic=-0.3905316209596119, pvalue=0.7052953089588587)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Welch's t-test for net score\n",
    "ttest_ind(big_6_net_score['net_score'], non_big_6_net_score['net_score'], equal_var=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1def32e4",
   "metadata": {},
   "source": [
    "p-value returned from Welch's t-test = 0.749 (i.e. no statistically significant difference in net score between big six and non big six teams"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78986881",
   "metadata": {},
   "source": [
    "##### Net Goal score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f3b7d036",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>big_six</th>\n",
       "      <th>net_goal_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>No</td>\n",
       "      <td>-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>No</td>\n",
       "      <td>-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>No</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Everton</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fulham</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>No</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>Yes</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Norwich City</td>\n",
       "      <td>No</td>\n",
       "      <td>-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>No</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Watford</td>\n",
       "      <td>No</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>No</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>No</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>No</td>\n",
       "      <td>-6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  team_name big_six  net_goal_score\n",
       "0                   Arsenal     Yes               1\n",
       "1               Aston Villa      No              -3\n",
       "2               Bournemouth      No              -3\n",
       "3    Brighton & Hove Albion      No               6\n",
       "4                   Burnley      No               1\n",
       "5                   Chelsea     Yes               0\n",
       "6            Crystal Palace      No               2\n",
       "7                   Everton      No               2\n",
       "8                    Fulham      No               3\n",
       "9              Leeds United      No              -1\n",
       "10           Leicester City      No               3\n",
       "11                Liverpool     Yes              -5\n",
       "12          Manchester City     Yes              -2\n",
       "13        Manchester United     Yes               6\n",
       "14         Newcastle United      No               0\n",
       "15             Norwich City      No              -4\n",
       "16         Sheffield United      No               1\n",
       "17              Southampton      No               6\n",
       "18        Tottenham Hotspur     Yes               0\n",
       "19                  Watford      No              -1\n",
       "20     West Bromwich Albion      No              -2\n",
       "21          West Ham United      No              -2\n",
       "22  Wolverhampton Wanderers      No              -6"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_net_goal_score = pd.DataFrame(teamstats_df.groupby(['team_name', 'big_six'])['net_goal_score'].agg('sum')).reset_index(drop=False)\n",
    "df_net_goal_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c583befb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.boxplot(x=\"big_six\", y=\"net_goal_score\", data=df_net_goal_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "37b2e344",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    6.00000\n",
       "mean     0.00000\n",
       "std      3.63318\n",
       "min     -5.00000\n",
       "25%     -1.50000\n",
       "50%      0.00000\n",
       "75%      0.75000\n",
       "max      6.00000\n",
       "Name: net_goal_score, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_6_net_goal_score = df_net_goal_score[df_net_goal_score['big_six'] == 'Yes']\n",
    "big_6_net_goal_score['net_goal_score'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1ba3711d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    17.000000\n",
       "mean      0.117647\n",
       "std       3.351909\n",
       "min      -6.000000\n",
       "25%      -2.000000\n",
       "50%       0.000000\n",
       "75%       2.000000\n",
       "max       6.000000\n",
       "Name: net_goal_score, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_big_6_net_goal_score = df_net_goal_score[df_net_goal_score['big_six'] == 'No']\n",
    "non_big_6_net_goal_score['net_goal_score'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4ebb6f64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ttest_indResult(statistic=-0.06955522529782543, pvalue=0.9462094168454437)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Welch t-test for net goal score\n",
    "from scipy.stats import ttest_ind\n",
    "ttest_ind(big_6_net_goal_score['net_goal_score'], non_big_6_net_goal_score['net_goal_score'], equal_var=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4227d715",
   "metadata": {},
   "source": [
    "##### Net Subjective score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b76d1bc1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>big_six</th>\n",
       "      <th>net_subjective_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>No</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>No</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Everton</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fulham</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>Yes</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Norwich City</td>\n",
       "      <td>No</td>\n",
       "      <td>-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>No</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>No</td>\n",
       "      <td>-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Watford</td>\n",
       "      <td>No</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>No</td>\n",
       "      <td>-5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>No</td>\n",
       "      <td>-2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  team_name big_six  net_subjective_score\n",
       "0                   Arsenal     Yes                    -4\n",
       "1               Aston Villa      No                     1\n",
       "2               Bournemouth      No                    -2\n",
       "3    Brighton & Hove Albion      No                     2\n",
       "4                   Burnley      No                     5\n",
       "5                   Chelsea     Yes                     2\n",
       "6            Crystal Palace      No                     4\n",
       "7                   Everton      No                     3\n",
       "8                    Fulham      No                     0\n",
       "9              Leeds United      No                     1\n",
       "10           Leicester City      No                     1\n",
       "11                Liverpool     Yes                    -3\n",
       "12          Manchester City     Yes                     0\n",
       "13        Manchester United     Yes                     8\n",
       "14         Newcastle United      No                     2\n",
       "15             Norwich City      No                    -4\n",
       "16         Sheffield United      No                    -2\n",
       "17              Southampton      No                    -3\n",
       "18        Tottenham Hotspur     Yes                    -2\n",
       "19                  Watford      No                    -2\n",
       "20     West Bromwich Albion      No                    -5\n",
       "21          West Ham United      No                     1\n",
       "22  Wolverhampton Wanderers      No                    -2"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_net_subj_score = pd.DataFrame(teamstats_df.groupby(['team_name', 'big_six'])['net_subjective_score'].agg('sum')).reset_index(drop=False)\n",
    "df_net_subj_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3c012694",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.boxplot(x=\"big_six\", y=\"net_subjective_score\", data=df_net_subj_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "7a762636",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    6.000000\n",
       "mean     0.166667\n",
       "std      4.400758\n",
       "min     -4.000000\n",
       "25%     -2.750000\n",
       "50%     -1.000000\n",
       "75%      1.500000\n",
       "max      8.000000\n",
       "Name: net_subjective_score, dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_6_net_subj_score = df_net_subj_score[df_net_subj_score['big_six'] == 'Yes']\n",
    "big_6_net_subj_score['net_subjective_score'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "fdbe5357",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    17.000000\n",
       "mean      0.000000\n",
       "std       2.828427\n",
       "min      -5.000000\n",
       "25%      -2.000000\n",
       "50%       1.000000\n",
       "75%       2.000000\n",
       "max       5.000000\n",
       "Name: net_subjective_score, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_big_6_net_subj_score = df_net_subj_score[df_net_subj_score['big_six'] == 'No']\n",
    "non_big_6_net_subj_score['net_subjective_score'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a5865ba7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ttest_indResult(statistic=0.08666501268351474, pvalue=0.9335383908907856)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Welch t-test for net subjective score\n",
    "ttest_ind(big_6_net_subj_score['net_subjective_score'], non_big_6_net_subj_score['net_subjective_score'], equal_var=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "577636a2",
   "metadata": {},
   "source": [
    "**Summary**  \n",
    "p-values returned from Welch's t-test AND Student's t-test for all 3 scores (net score, net goal score, net subjective score) are all >0.05 (i.e. no statistically significant difference in net score between big six and non big six teams)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94655a90",
   "metadata": {},
   "source": [
    "___\n",
    "### (2) Which EPL teams were involved in most VAR overturn incidents, had the most FOR decisions, and the most AGAINST decisions?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ab2f8a3",
   "metadata": {},
   "source": [
    "##### Count of VAR incident overturn involvement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ebc43cd9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>overturns_total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>31</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>31</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>28</td>\n",
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       "      <th>5</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>27</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>26</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>25</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>22</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Fulham</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Everton</td>\n",
       "      <td>14</td>\n",
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       "      <th>17</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>13</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Norwich City</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Watford</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  team_name  overturns_total\n",
       "0         Tottenham Hotspur               31\n",
       "1         Manchester United               31\n",
       "2            Leicester City               31\n",
       "3           West Ham United               28\n",
       "4    Brighton & Hove Albion               28\n",
       "5               Southampton               27\n",
       "6                 Liverpool               26\n",
       "7           Manchester City               25\n",
       "8                   Chelsea               25\n",
       "9            Crystal Palace               22\n",
       "10         Sheffield United               22\n",
       "11                  Arsenal               21\n",
       "12  Wolverhampton Wanderers               20\n",
       "13              Aston Villa               18\n",
       "14                  Burnley               18\n",
       "15                   Fulham               14\n",
       "16                  Everton               14\n",
       "17         Newcastle United               13\n",
       "18     West Bromwich Albion               12\n",
       "19              Bournemouth               12\n",
       "20             Norwich City               11\n",
       "21             Leeds United                9\n",
       "22                  Watford                6"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_decisions_total = pd.DataFrame(teamstats_df.groupby(['team_name'])['overturns_total'].agg('sum')).reset_index(drop=False)\n",
    "df_decisions_total.sort_values(by='overturns_total', ascending=False, inplace=True)\n",
    "df_decisions_total.reset_index(drop=True, inplace=True)\n",
    "df_decisions_total"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afae243f",
   "metadata": {},
   "source": [
    "##### Count of VAR decision for"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "219de347",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>decisions_for</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
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       "      <td>7</td>\n",
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       "      <td>6</td>\n",
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       "      <th>18</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Norwich City</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Watford</td>\n",
       "      <td>2</td>\n",
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      ],
      "text/plain": [
       "                  team_name  decisions_for\n",
       "0    Brighton & Hove Albion             19\n",
       "1         Manchester United             19\n",
       "2            Leicester City             17\n",
       "3         Tottenham Hotspur             15\n",
       "4               Southampton             15\n",
       "5            Crystal Palace             14\n",
       "6                   Chelsea             13\n",
       "7           Manchester City             13\n",
       "8                 Liverpool             12\n",
       "9                   Burnley             12\n",
       "10          West Ham United             11\n",
       "11         Sheffield United             10\n",
       "12                  Everton              9\n",
       "13                   Fulham              9\n",
       "14              Aston Villa              9\n",
       "15         Newcastle United              8\n",
       "16                  Arsenal              7\n",
       "17  Wolverhampton Wanderers              6\n",
       "18             Leeds United              5\n",
       "19              Bournemouth              5\n",
       "20     West Bromwich Albion              3\n",
       "21             Norwich City              2\n",
       "22                  Watford              2"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_decisions_for = pd.DataFrame(teamstats_df.groupby(['team_name'])['decisions_for'].agg('sum')).reset_index(drop=False)\n",
    "df_decisions_for.sort_values(by='decisions_for', ascending=False, inplace=True)\n",
    "df_decisions_for.reset_index(drop=True, inplace=True)\n",
    "df_decisions_for"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d3e7f91",
   "metadata": {},
   "source": [
    "##### Count of VAR decision against"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "c4bc530e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>decisions_against</th>\n",
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       "      <td>Tottenham Hotspur</td>\n",
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       "      <td>12</td>\n",
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       "      <td>10</td>\n",
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       "      <th>12</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>10</td>\n",
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       "      <th>13</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>9</td>\n",
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       "      <th>14</th>\n",
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       "      <td>9</td>\n",
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       "      <th>15</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>9</td>\n",
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       "      <th>16</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>7</td>\n",
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       "      <th>17</th>\n",
       "      <td>Fulham</td>\n",
       "      <td>6</td>\n",
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       "      <th>18</th>\n",
       "      <td>Everton</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Watford</td>\n",
       "      <td>4</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "                  team_name  decisions_against\n",
       "0         Tottenham Hotspur                 17\n",
       "1                 Liverpool                 16\n",
       "2           West Ham United                 16\n",
       "3            Leicester City                 14\n",
       "4                   Arsenal                 14\n",
       "5   Wolverhampton Wanderers                 14\n",
       "6           Manchester City                 12\n",
       "7               Southampton                 12\n",
       "8          Sheffield United                 12\n",
       "9         Manchester United                 12\n",
       "10                  Chelsea                 12\n",
       "11              Aston Villa                 10\n",
       "12   Brighton & Hove Albion                 10\n",
       "13           Crystal Palace                  9\n",
       "14             Norwich City                  9\n",
       "15     West Bromwich Albion                  9\n",
       "16              Bournemouth                  7\n",
       "17                   Fulham                  6\n",
       "18                  Everton                  6\n",
       "19                  Burnley                  5\n",
       "20         Newcastle United                  5\n",
       "21             Leeds United                  4\n",
       "22                  Watford                  4"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_decisions_against = pd.DataFrame(teamstats_df.groupby(['team_name'])['decisions_against'].agg('sum')).reset_index(drop=False)\n",
    "df_decisions_against.sort_values(by='decisions_against', ascending=False, inplace=True)\n",
    "df_decisions_against.reset_index(drop=True, inplace=True)\n",
    "df_decisions_against"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2035aba1",
   "metadata": {},
   "source": [
    "##### Percentage For (based on total VAR overturn incidents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "51882df0",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-28-fd3e032489d6>:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  df_decisions_for_percent = pd.DataFrame(teamstats_df.groupby(['team_name'])['decisions_for', 'overturns_total'].agg('sum')).reset_index(drop=False)\n"
     ]
    },
    {
     "data": {
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       "      <th></th>\n",
       "      <th>team_name</th>\n",
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       "      <th>overturns_total</th>\n",
       "      <th>decisions_for_percent</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>19</td>\n",
       "      <td>28</td>\n",
       "      <td>67.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>66.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Everton</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>64.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Fulham</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>64.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>14</td>\n",
       "      <td>22</td>\n",
       "      <td>63.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>61.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>19</td>\n",
       "      <td>31</td>\n",
       "      <td>61.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>55.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>15</td>\n",
       "      <td>27</td>\n",
       "      <td>55.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>54.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>15</td>\n",
       "      <td>31</td>\n",
       "      <td>48.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>12</td>\n",
       "      <td>26</td>\n",
       "      <td>46.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>45.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>41.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>11</td>\n",
       "      <td>28</td>\n",
       "      <td>39.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Watford</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>33.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>33.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>6</td>\n",
       "      <td>20</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Norwich City</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>18.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  team_name  decisions_for  overturns_total  \\\n",
       "0    Brighton & Hove Albion             19               28   \n",
       "1                   Burnley             12               18   \n",
       "2                   Everton              9               14   \n",
       "3                    Fulham              9               14   \n",
       "4            Crystal Palace             14               22   \n",
       "5          Newcastle United              8               13   \n",
       "6         Manchester United             19               31   \n",
       "7              Leeds United              5                9   \n",
       "8               Southampton             15               27   \n",
       "9            Leicester City             17               31   \n",
       "10                  Chelsea             13               25   \n",
       "11          Manchester City             13               25   \n",
       "12              Aston Villa              9               18   \n",
       "13        Tottenham Hotspur             15               31   \n",
       "14                Liverpool             12               26   \n",
       "15         Sheffield United             10               22   \n",
       "16              Bournemouth              5               12   \n",
       "17          West Ham United             11               28   \n",
       "18                  Watford              2                6   \n",
       "19                  Arsenal              7               21   \n",
       "20  Wolverhampton Wanderers              6               20   \n",
       "21     West Bromwich Albion              3               12   \n",
       "22             Norwich City              2               11   \n",
       "\n",
       "    decisions_for_percent  \n",
       "0                    67.9  \n",
       "1                    66.7  \n",
       "2                    64.3  \n",
       "3                    64.3  \n",
       "4                    63.6  \n",
       "5                    61.5  \n",
       "6                    61.3  \n",
       "7                    55.6  \n",
       "8                    55.6  \n",
       "9                    54.8  \n",
       "10                   52.0  \n",
       "11                   52.0  \n",
       "12                   50.0  \n",
       "13                   48.4  \n",
       "14                   46.2  \n",
       "15                   45.5  \n",
       "16                   41.7  \n",
       "17                   39.3  \n",
       "18                   33.3  \n",
       "19                   33.3  \n",
       "20                   30.0  \n",
       "21                   25.0  \n",
       "22                   18.2  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_decisions_for_percent = pd.DataFrame(teamstats_df.groupby(['team_name'])['decisions_for', 'overturns_total'].agg('sum')).reset_index(drop=False)\n",
    "df_decisions_for_percent['decisions_for_percent'] = round((df_decisions_for_percent['decisions_for']/df_decisions_for_percent['overturns_total']) * 100, 1)\n",
    "df_decisions_for_percent.sort_values(by='decisions_for_percent', inplace=True, ascending=False)\n",
    "df_decisions_for_percent.reset_index(drop=True, inplace=True)\n",
    "df_decisions_for_percent"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ae01c10",
   "metadata": {},
   "source": [
    "This leads to the next question, do these VAR decisions have a correlation with the team's league position and points tally?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6764c8ad",
   "metadata": {},
   "source": [
    "___\n",
    "### (3) Do VAR decisions correlate with EPL league positions and points tally?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b54e039e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>year</th>\n",
       "      <th>position</th>\n",
       "      <th>points</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>4</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>5</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           team_name       year  position  points\n",
       "0          Liverpool  2019/2020         1      99\n",
       "1    Manchester City  2019/2020         2      81\n",
       "2  Manchester United  2019/2020         3      66\n",
       "3            Chelsea  2019/2020         4      66\n",
       "4     Leicester City  2019/2020         5      62"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "epl_table_df = pd.read_csv(f'./data/EPL_Table_{file_date}.csv')\n",
    "epl_table_df = rename_team_names(epl_table_df, 'team')\n",
    "epl_table_df.columns = ['team_name', 'year', 'position', 'points']\n",
    "epl_table_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0b446184",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-30-8aa426230cce>:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  df_decisions_for_percent_yearly = pd.DataFrame(teamstats_df.groupby(['team_name', 'year'])['decisions_for', 'overturns_total'].agg('sum')).reset_index(drop=False)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>year</th>\n",
       "      <th>decisions_for</th>\n",
       "      <th>overturns_total</th>\n",
       "      <th>decisions_for_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>44.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>28.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>63.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>41.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>83.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>56.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>63.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>71.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>61.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>41.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>66.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Everton</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>42.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Everton</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>85.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Fulham</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>64.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>55.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>53.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>56.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>7</td>\n",
       "      <td>18</td>\n",
       "      <td>38.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>62.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>55.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>76.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Norwich City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>18.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>27.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>63.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>61.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>53.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>43.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Watford</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>33.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>41.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>22.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>36.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  team_name       year  decisions_for  overturns_total  \\\n",
       "0                   Arsenal  2019/2020              4                9   \n",
       "1                   Arsenal  2020/2021              3               12   \n",
       "2               Aston Villa  2019/2020              2                7   \n",
       "3               Aston Villa  2020/2021              7               11   \n",
       "4               Bournemouth  2019/2020              5               12   \n",
       "5    Brighton & Hove Albion  2019/2020             10               12   \n",
       "6    Brighton & Hove Albion  2020/2021              9               16   \n",
       "7                   Burnley  2019/2020              7               11   \n",
       "8                   Burnley  2020/2021              5                7   \n",
       "9                   Chelsea  2020/2021              8               13   \n",
       "10                  Chelsea  2019/2020              5               12   \n",
       "11           Crystal Palace  2019/2020              8               12   \n",
       "12           Crystal Palace  2020/2021              6               10   \n",
       "13                  Everton  2019/2020              3                7   \n",
       "14                  Everton  2020/2021              6                7   \n",
       "15                   Fulham  2020/2021              9               14   \n",
       "16             Leeds United  2020/2021              5                9   \n",
       "17           Leicester City  2019/2020              8               15   \n",
       "18           Leicester City  2020/2021              9               16   \n",
       "19                Liverpool  2020/2021              7               18   \n",
       "20                Liverpool  2019/2020              5                8   \n",
       "21          Manchester City  2019/2020              8               16   \n",
       "22          Manchester City  2020/2021              5                9   \n",
       "23        Manchester United  2019/2020             10               13   \n",
       "24        Manchester United  2020/2021              9               18   \n",
       "25         Newcastle United  2019/2020              3                3   \n",
       "26         Newcastle United  2020/2021              5               10   \n",
       "27             Norwich City  2019/2020              2               11   \n",
       "28         Sheffield United  2019/2020              3               11   \n",
       "29         Sheffield United  2020/2021              7               11   \n",
       "30              Southampton  2020/2021              7               14   \n",
       "31              Southampton  2019/2020              8               13   \n",
       "32        Tottenham Hotspur  2019/2020              8               15   \n",
       "33        Tottenham Hotspur  2020/2021              7               16   \n",
       "34                  Watford  2019/2020              2                6   \n",
       "35     West Bromwich Albion  2020/2021              3               12   \n",
       "36          West Ham United  2019/2020              6               16   \n",
       "37          West Ham United  2020/2021              5               12   \n",
       "38  Wolverhampton Wanderers  2019/2020              2                9   \n",
       "39  Wolverhampton Wanderers  2020/2021              4               11   \n",
       "\n",
       "    decisions_for_percent  \n",
       "0                    44.4  \n",
       "1                    25.0  \n",
       "2                    28.6  \n",
       "3                    63.6  \n",
       "4                    41.7  \n",
       "5                    83.3  \n",
       "6                    56.2  \n",
       "7                    63.6  \n",
       "8                    71.4  \n",
       "9                    61.5  \n",
       "10                   41.7  \n",
       "11                   66.7  \n",
       "12                   60.0  \n",
       "13                   42.9  \n",
       "14                   85.7  \n",
       "15                   64.3  \n",
       "16                   55.6  \n",
       "17                   53.3  \n",
       "18                   56.2  \n",
       "19                   38.9  \n",
       "20                   62.5  \n",
       "21                   50.0  \n",
       "22                   55.6  \n",
       "23                   76.9  \n",
       "24                   50.0  \n",
       "25                  100.0  \n",
       "26                   50.0  \n",
       "27                   18.2  \n",
       "28                   27.3  \n",
       "29                   63.6  \n",
       "30                   50.0  \n",
       "31                   61.5  \n",
       "32                   53.3  \n",
       "33                   43.8  \n",
       "34                   33.3  \n",
       "35                   25.0  \n",
       "36                   37.5  \n",
       "37                   41.7  \n",
       "38                   22.2  \n",
       "39                   36.4  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_decisions_for_percent_yearly = pd.DataFrame(teamstats_df.groupby(['team_name', 'year'])['decisions_for', 'overturns_total'].agg('sum')).reset_index(drop=False)\n",
    "df_decisions_for_percent_yearly['decisions_for_percent'] = round((df_decisions_for_percent_yearly['decisions_for']/df_decisions_for_percent_yearly['overturns_total']) * 100, 1)\n",
    "df_decisions_for_percent_yearly.sort_values(by='team_name', inplace=True, ascending=True)\n",
    "df_decisions_for_percent_yearly.reset_index(drop=True, inplace=True)\n",
    "df_decisions_for_percent_yearly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "031b7941",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_name</th>\n",
       "      <th>year</th>\n",
       "      <th>position</th>\n",
       "      <th>points</th>\n",
       "      <th>decisions_for</th>\n",
       "      <th>overturns_total</th>\n",
       "      <th>decisions_for_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>99</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>62.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>81</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>3</td>\n",
       "      <td>66</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>76.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>4</td>\n",
       "      <td>66</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>41.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>5</td>\n",
       "      <td>62</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>53.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>6</td>\n",
       "      <td>59</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>53.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>7</td>\n",
       "      <td>59</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>22.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>44.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>9</td>\n",
       "      <td>54</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>27.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>10</td>\n",
       "      <td>54</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>63.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>11</td>\n",
       "      <td>52</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>61.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Everton</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>12</td>\n",
       "      <td>49</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>42.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>13</td>\n",
       "      <td>44</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>14</td>\n",
       "      <td>43</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>66.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>15</td>\n",
       "      <td>41</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>83.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>17</td>\n",
       "      <td>35</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>28.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Bournemouth</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>18</td>\n",
       "      <td>34</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>41.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Watford</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>19</td>\n",
       "      <td>34</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>33.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Norwich City</td>\n",
       "      <td>2019/2020</td>\n",
       "      <td>20</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>18.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Manchester City</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>1</td>\n",
       "      <td>86</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>55.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>2</td>\n",
       "      <td>74</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>3</td>\n",
       "      <td>69</td>\n",
       "      <td>7</td>\n",
       "      <td>18</td>\n",
       "      <td>38.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>4</td>\n",
       "      <td>67</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>61.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Leicester City</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>56.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>West Ham United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>6</td>\n",
       "      <td>65</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>41.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>7</td>\n",
       "      <td>62</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>43.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Arsenal</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>8</td>\n",
       "      <td>61</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Leeds United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>9</td>\n",
       "      <td>59</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>55.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Everton</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>10</td>\n",
       "      <td>59</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>85.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>11</td>\n",
       "      <td>55</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>63.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>12</td>\n",
       "      <td>45</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Wolverhampton Wanderers</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>13</td>\n",
       "      <td>45</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>36.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>15</td>\n",
       "      <td>43</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Brighton &amp; Hove Albion</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>16</td>\n",
       "      <td>41</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>56.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Burnley</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>17</td>\n",
       "      <td>39</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>71.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Fulham</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>18</td>\n",
       "      <td>28</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>64.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>19</td>\n",
       "      <td>26</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Sheffield United</td>\n",
       "      <td>2020/2021</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>63.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  team_name       year  position  points  decisions_for  \\\n",
       "0                 Liverpool  2019/2020         1      99              5   \n",
       "1           Manchester City  2019/2020         2      81              8   \n",
       "2         Manchester United  2019/2020         3      66             10   \n",
       "3                   Chelsea  2019/2020         4      66              5   \n",
       "4            Leicester City  2019/2020         5      62              8   \n",
       "5         Tottenham Hotspur  2019/2020         6      59              8   \n",
       "6   Wolverhampton Wanderers  2019/2020         7      59              2   \n",
       "7                   Arsenal  2019/2020         8      56              4   \n",
       "8          Sheffield United  2019/2020         9      54              3   \n",
       "9                   Burnley  2019/2020        10      54              7   \n",
       "10              Southampton  2019/2020        11      52              8   \n",
       "11                  Everton  2019/2020        12      49              3   \n",
       "12         Newcastle United  2019/2020        13      44              3   \n",
       "13           Crystal Palace  2019/2020        14      43              8   \n",
       "14   Brighton & Hove Albion  2019/2020        15      41             10   \n",
       "15          West Ham United  2019/2020        16      39              6   \n",
       "16              Aston Villa  2019/2020        17      35              2   \n",
       "17              Bournemouth  2019/2020        18      34              5   \n",
       "18                  Watford  2019/2020        19      34              2   \n",
       "19             Norwich City  2019/2020        20      21              2   \n",
       "20          Manchester City  2020/2021         1      86              5   \n",
       "21        Manchester United  2020/2021         2      74              9   \n",
       "22                Liverpool  2020/2021         3      69              7   \n",
       "23                  Chelsea  2020/2021         4      67              8   \n",
       "24           Leicester City  2020/2021         5      66              9   \n",
       "25          West Ham United  2020/2021         6      65              5   \n",
       "26        Tottenham Hotspur  2020/2021         7      62              7   \n",
       "27                  Arsenal  2020/2021         8      61              3   \n",
       "28             Leeds United  2020/2021         9      59              5   \n",
       "29                  Everton  2020/2021        10      59              6   \n",
       "30              Aston Villa  2020/2021        11      55              7   \n",
       "31         Newcastle United  2020/2021        12      45              5   \n",
       "32  Wolverhampton Wanderers  2020/2021        13      45              4   \n",
       "33           Crystal Palace  2020/2021        14      44              6   \n",
       "34              Southampton  2020/2021        15      43              7   \n",
       "35   Brighton & Hove Albion  2020/2021        16      41              9   \n",
       "36                  Burnley  2020/2021        17      39              5   \n",
       "37                   Fulham  2020/2021        18      28              9   \n",
       "38     West Bromwich Albion  2020/2021        19      26              3   \n",
       "39         Sheffield United  2020/2021        20      23              7   \n",
       "\n",
       "    overturns_total  decisions_for_percent  \n",
       "0                 8                   62.5  \n",
       "1                16                   50.0  \n",
       "2                13                   76.9  \n",
       "3                12                   41.7  \n",
       "4                15                   53.3  \n",
       "5                15                   53.3  \n",
       "6                 9                   22.2  \n",
       "7                 9                   44.4  \n",
       "8                11                   27.3  \n",
       "9                11                   63.6  \n",
       "10               13                   61.5  \n",
       "11                7                   42.9  \n",
       "12                3                  100.0  \n",
       "13               12                   66.7  \n",
       "14               12                   83.3  \n",
       "15               16                   37.5  \n",
       "16                7                   28.6  \n",
       "17               12                   41.7  \n",
       "18                6                   33.3  \n",
       "19               11                   18.2  \n",
       "20                9                   55.6  \n",
       "21               18                   50.0  \n",
       "22               18                   38.9  \n",
       "23               13                   61.5  \n",
       "24               16                   56.2  \n",
       "25               12                   41.7  \n",
       "26               16                   43.8  \n",
       "27               12                   25.0  \n",
       "28                9                   55.6  \n",
       "29                7                   85.7  \n",
       "30               11                   63.6  \n",
       "31               10                   50.0  \n",
       "32               11                   36.4  \n",
       "33               10                   60.0  \n",
       "34               14                   50.0  \n",
       "35               16                   56.2  \n",
       "36                7                   71.4  \n",
       "37               14                   64.3  \n",
       "38               12                   25.0  \n",
       "39               11                   63.6  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table_decision_for_df = pd.merge(epl_table_df, df_decisions_for_percent_yearly, how='left',\n",
    "                       on=['team_name', 'year']).reset_index(drop=True)\n",
    "table_decision_for_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b0789ba7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=table_decision_for_df, x=\"decisions_for_percent\", y=\"points\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "5ca931bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.scatterplot(data=table_decision_for_df, x=\"decisions_for_percent\", y=\"position\");\n",
    "ax.invert_yaxis()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6400c98b",
   "metadata": {},
   "source": [
    "Conclusion: No correlation between VAR decision-for ratio and the final EPL points tally (or league position)"
   ]
  }
 ],
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