Scripts/2019_20_season/playoff_analysis/biggest_change_in_unassisted_assisted.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import requests\n",
    "import tqdm\n",
    "from time import sleep\n",
    "import time\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "from adjustText import adjust_text\n",
    "from scipy.interpolate import interp1d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nba_api.stats.static.players import find_players_by_full_name\n",
    "from nba_api.stats.static.teams import find_teams_by_full_name, get_teams, find_team_name_by_id\n",
    "from nba_api.stats.endpoints.playbyplayv2 import PlayByPlayV2\n",
    "from nba_api.stats.endpoints.leaguegamefinder import LeagueGameFinder\n",
    "from nba_api.stats.endpoints.shotchartdetail import ShotChartDetail"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nba_api.stats.endpoints.leaguedashplayerstats import LeagueDashPlayerStats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "scoring_stats_playoffs = LeagueDashPlayerStats(measure_type_detailed_defense='Scoring', season_type_all_star='Playoffs').get_data_frames()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "regular_stats_playoffs = LeagueDashPlayerStats(measure_type_detailed_defense='Base', per_mode_detailed='PerGame', season_type_all_star='Playoffs').get_data_frames()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "scoring_stats = LeagueDashPlayerStats(measure_type_detailed_defense='Scoring').get_data_frames()[0]\n",
    "regular_stats = LeagueDashPlayerStats(measure_type_detailed_defense='Base', per_mode_detailed='PerGame').get_data_frames()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PLAYER_ID', 'PLAYER_NAME', 'TEAM_ID', 'TEAM_ABBREVIATION', 'AGE', 'GP',\n",
       "       'W', 'L', 'W_PCT', 'MIN', 'FGM', 'FGA', 'FG_PCT', 'FG3M', 'FG3A',\n",
       "       'FG3_PCT', 'FTM', 'FTA', 'FT_PCT', 'OREB', 'DREB', 'REB', 'AST', 'TOV',\n",
       "       'STL', 'BLK', 'BLKA', 'PF', 'PFD', 'PTS', 'PLUS_MINUS',\n",
       "       'NBA_FANTASY_PTS', 'DD2', 'TD3', 'GP_RANK', 'W_RANK', 'L_RANK',\n",
       "       'W_PCT_RANK', 'MIN_RANK', 'FGM_RANK', 'FGA_RANK', 'FG_PCT_RANK',\n",
       "       'FG3M_RANK', 'FG3A_RANK', 'FG3_PCT_RANK', 'FTM_RANK', 'FTA_RANK',\n",
       "       'FT_PCT_RANK', 'OREB_RANK', 'DREB_RANK', 'REB_RANK', 'AST_RANK',\n",
       "       'TOV_RANK', 'STL_RANK', 'BLK_RANK', 'BLKA_RANK', 'PF_RANK', 'PFD_RANK',\n",
       "       'PTS_RANK', 'PLUS_MINUS_RANK', 'NBA_FANTASY_PTS_RANK', 'DD2_RANK',\n",
       "       'TD3_RANK', 'CFID', 'CFPARAMS'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regular_stats.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "scoring_columns = ['PLAYER_ID', 'PLAYER_NAME', 'TEAM_ID', 'TEAM_ABBREVIATION', 'AGE', 'GP',\n",
    "       'W', 'L', 'W_PCT', 'MIN', 'PCT_FGA_2PT', 'PCT_FGA_3PT', 'PCT_PTS_2PT',\n",
    "       'PCT_PTS_2PT_MR', 'PCT_PTS_3PT', 'PCT_PTS_FB', 'PCT_PTS_FT',\n",
    "       'PCT_PTS_OFF_TOV', 'PCT_PTS_PAINT', 'PCT_AST_2PM', 'PCT_UAST_2PM',\n",
    "       'PCT_AST_3PM', 'PCT_UAST_3PM', 'PCT_AST_FGM', 'PCT_UAST_FGM']\n",
    "\n",
    "regular_columns = ['PLAYER_ID', 'PLAYER_NAME', 'TEAM_ID', 'TEAM_ABBREVIATION', 'AGE', 'GP',\n",
    "       'W', 'L', 'W_PCT', 'MIN', 'FGM', 'FGA', 'FG_PCT', 'FG3M', 'FG3A',\n",
    "       'FG3_PCT', 'FTM', 'FTA', 'FT_PCT', 'OREB', 'DREB', 'REB', 'AST', 'TOV',\n",
    "       'STL', 'BLK', 'BLKA', 'PF', 'PFD', 'PTS', 'PLUS_MINUS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "scoring_stats = scoring_stats.loc[:, scoring_columns]\n",
    "scoring_stats_playoffs = scoring_stats_playoffs.loc[:, scoring_columns]\n",
    "regular_stats = regular_stats.loc[:, regular_columns]\n",
    "regular_stats_playoffs = regular_stats_playoffs.loc[:, regular_columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "regular_df = pd.merge(left=regular_stats, right=scoring_stats, on=['PLAYER_ID', 'PLAYER_NAME', 'TEAM_ID', 'TEAM_ABBREVIATION'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "playoff_df = pd.merge(left=regular_stats_playoffs, right=scoring_stats_playoffs, on=['PLAYER_ID', 'PLAYER_NAME', 'TEAM_ID', 'TEAM_ABBREVIATION'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "target_columns = ['PLAYER_ID', 'PLAYER_NAME', 'TEAM_ID', 'TEAM_ABBREVIATION', 'MIN_x', 'FGM', 'FGA', 'FG_PCT',\n",
    "       'FG3M', 'FG3A', 'FG3_PCT', 'FTM', 'FTA', 'FT_PCT', 'OREB', 'DREB',\n",
    "       'REB', 'AST', 'TOV', 'STL', 'BLK', 'PCT_FGA_2PT', 'PCT_FGA_3PT', 'PCT_PTS_2PT', 'PCT_PTS_2PT_MR',\n",
    "       'PCT_PTS_3PT', 'PCT_PTS_FB', 'PCT_PTS_FT', 'PCT_PTS_OFF_TOV',\n",
    "       'PCT_PTS_PAINT', 'PCT_AST_2PM', 'PCT_UAST_2PM', 'PCT_AST_3PM',\n",
    "       'PCT_UAST_3PM', 'PCT_AST_FGM', 'PCT_UAST_FGM']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "playoff_df = playoff_df.loc[:, target_columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "regular_df = regular_df.loc[:, target_columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "playoff_interesting = playoff_df.loc[:, ['PLAYER_ID', 'PLAYER_NAME', 'FGM', 'FGA', 'PCT_AST_FGM', 'PCT_UAST_FGM']]\n",
    "regular_interesting = regular_df.loc[:, ['PLAYER_ID', 'PLAYER_NAME', 'FGM', 'FGA', 'PCT_AST_FGM', 'PCT_UAST_FGM']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "playoff_interesting.loc[:, 'AST_FGM'] = playoff_interesting.FGM * playoff_interesting.PCT_AST_FGM\n",
    "playoff_interesting.loc[:, 'UAST_FGM'] = playoff_interesting.FGM * playoff_interesting.PCT_UAST_FGM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "regular_interesting.loc[:, 'AST_FGM'] = regular_interesting.FGM * regular_interesting.PCT_AST_FGM\n",
    "regular_interesting.loc[:, 'UAST_FGM'] = regular_interesting.FGM * regular_interesting.PCT_UAST_FGM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_playoff = playoff_interesting.sort_values(by='FGM', ascending=False).iloc[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_final_df = pd.merge(left=regular_interesting, right=playoff_interesting, on=['PLAYER_ID', 'PLAYER_NAME'], suffixes=('_REGULAR', '_PLAYOFFS'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_final_df.loc[:, \"FGA_DIFF\"] = merged_final_df.FGA_PLAYOFFS - merged_final_df.FGA_REGULAR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "sorted_fga_diff = merged_final_df.sort_values(by='FGA_DIFF', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PLAYER_NAME</th>\n",
       "      <th>FGA_REGULAR</th>\n",
       "      <th>FGA_PLAYOFFS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Timothe Luwawu-Cabarrot</td>\n",
       "      <td>5.7</td>\n",
       "      <td>14.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Luguentz Dort</td>\n",
       "      <td>6.1</td>\n",
       "      <td>12.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Nikola Vucevic</td>\n",
       "      <td>16.7</td>\n",
       "      <td>22.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>Tyler Johnson</td>\n",
       "      <td>6.4</td>\n",
       "      <td>11.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Goran Dragic</td>\n",
       "      <td>12.3</td>\n",
       "      <td>17.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Nikola Jokic</td>\n",
       "      <td>14.7</td>\n",
       "      <td>19.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Jamal Murray</td>\n",
       "      <td>15.2</td>\n",
       "      <td>19.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>Shake Milton</td>\n",
       "      <td>6.9</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Trey Burke</td>\n",
       "      <td>6.3</td>\n",
       "      <td>9.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Gary Clark</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Tim Hardaway Jr.</td>\n",
       "      <td>12.5</td>\n",
       "      <td>15.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Chris Paul</td>\n",
       "      <td>12.7</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Donovan Mitchell</td>\n",
       "      <td>19.4</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Fred VanVleet</td>\n",
       "      <td>14.3</td>\n",
       "      <td>17.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Garrett Temple</td>\n",
       "      <td>9.5</td>\n",
       "      <td>12.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Joel Embiid</td>\n",
       "      <td>15.7</td>\n",
       "      <td>18.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Khris Middleton</td>\n",
       "      <td>15.3</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Michael Porter Jr.</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Malcolm Brogdon</td>\n",
       "      <td>13.8</td>\n",
       "      <td>16.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>Rudy Gobert</td>\n",
       "      <td>8.2</td>\n",
       "      <td>10.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 PLAYER_NAME  FGA_REGULAR  FGA_PLAYOFFS\n",
       "198  Timothe Luwawu-Cabarrot          5.7          14.8\n",
       "123            Luguentz Dort          6.1          12.7\n",
       "152           Nikola Vucevic         16.7          22.2\n",
       "207            Tyler Johnson          6.4          11.5\n",
       "68              Goran Dragic         12.3          17.2\n",
       "151             Nikola Jokic         14.7          19.5\n",
       "80              Jamal Murray         15.2          19.8\n",
       "185             Shake Milton          6.9          11.0\n",
       "203               Trey Burke          6.3           9.8\n",
       "62                Gary Clark          3.2           6.6\n",
       "197         Tim Hardaway Jr.         12.5          15.8\n",
       "28                Chris Paul         12.7          16.0\n",
       "42          Donovan Mitchell         19.4          22.4\n",
       "58             Fred VanVleet         14.3          17.3\n",
       "61            Garrett Temple          9.5          12.3\n",
       "97               Joel Embiid         15.7          18.5\n",
       "113          Khris Middleton         15.3          18.0\n",
       "141       Michael Porter Jr.          7.0           9.5\n",
       "125          Malcolm Brogdon         13.8          16.3\n",
       "179              Rudy Gobert          8.2          10.6"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted_fga_diff.loc[sorted_fga_diff.FGA_DIFF > 0].loc[:, [\"PLAYER_NAME\", \"FGA_REGULAR\", \"FGA_PLAYOFFS\"]].iloc[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PLAYER_ID</th>\n",
       "      <th>PLAYER_NAME</th>\n",
       "      <th>FGM_REGULAR</th>\n",
       "      <th>FGA_REGULAR</th>\n",
       "      <th>PCT_AST_FGM_REGULAR</th>\n",
       "      <th>PCT_UAST_FGM_REGULAR</th>\n",
       "      <th>AST_FGM_REGULAR</th>\n",
       "      <th>UAST_FGM_REGULAR</th>\n",
       "      <th>FGM_PLAYOFFS</th>\n",
       "      <th>FGA_PLAYOFFS</th>\n",
       "      <th>PCT_AST_FGM_PLAYOFFS</th>\n",
       "      <th>PCT_UAST_FGM_PLAYOFFS</th>\n",
       "      <th>AST_FGM_PLAYOFFS</th>\n",
       "      <th>UAST_FGM_PLAYOFFS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1628378</td>\n",
       "      <td>Donovan Mitchell</td>\n",
       "      <td>8.7</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.674</td>\n",
       "      <td>2.8362</td>\n",
       "      <td>5.8638</td>\n",
       "      <td>11.9</td>\n",
       "      <td>22.4</td>\n",
       "      <td>0.241</td>\n",
       "      <td>0.759</td>\n",
       "      <td>2.8679</td>\n",
       "      <td>9.0321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>202696</td>\n",
       "      <td>Nikola Vucevic</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.7</td>\n",
       "      <td>0.773</td>\n",
       "      <td>0.227</td>\n",
       "      <td>6.1840</td>\n",
       "      <td>1.8160</td>\n",
       "      <td>11.2</td>\n",
       "      <td>22.2</td>\n",
       "      <td>0.714</td>\n",
       "      <td>0.286</td>\n",
       "      <td>7.9968</td>\n",
       "      <td>3.2032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>1629029</td>\n",
       "      <td>Luka Doncic</td>\n",
       "      <td>9.5</td>\n",
       "      <td>20.6</td>\n",
       "      <td>0.191</td>\n",
       "      <td>0.809</td>\n",
       "      <td>1.8145</td>\n",
       "      <td>7.6855</td>\n",
       "      <td>10.7</td>\n",
       "      <td>21.3</td>\n",
       "      <td>0.094</td>\n",
       "      <td>0.906</td>\n",
       "      <td>1.0058</td>\n",
       "      <td>9.6942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>202695</td>\n",
       "      <td>Kawhi Leonard</td>\n",
       "      <td>9.3</td>\n",
       "      <td>19.9</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.637</td>\n",
       "      <td>3.3759</td>\n",
       "      <td>5.9241</td>\n",
       "      <td>10.4</td>\n",
       "      <td>20.5</td>\n",
       "      <td>0.304</td>\n",
       "      <td>0.696</td>\n",
       "      <td>3.1616</td>\n",
       "      <td>7.2384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1627750</td>\n",
       "      <td>Jamal Murray</td>\n",
       "      <td>6.9</td>\n",
       "      <td>15.2</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.475</td>\n",
       "      <td>3.6225</td>\n",
       "      <td>3.2775</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19.8</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.677</td>\n",
       "      <td>3.1654</td>\n",
       "      <td>6.6346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>203468</td>\n",
       "      <td>CJ McCollum</td>\n",
       "      <td>8.7</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.637</td>\n",
       "      <td>3.1581</td>\n",
       "      <td>5.5419</td>\n",
       "      <td>8.8</td>\n",
       "      <td>19.8</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.705</td>\n",
       "      <td>2.5960</td>\n",
       "      <td>6.2040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>203999</td>\n",
       "      <td>Nikola Jokic</td>\n",
       "      <td>7.7</td>\n",
       "      <td>14.7</td>\n",
       "      <td>0.559</td>\n",
       "      <td>0.441</td>\n",
       "      <td>4.3043</td>\n",
       "      <td>3.3957</td>\n",
       "      <td>10.2</td>\n",
       "      <td>19.5</td>\n",
       "      <td>0.614</td>\n",
       "      <td>0.386</td>\n",
       "      <td>6.2628</td>\n",
       "      <td>3.9372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>9.9</td>\n",
       "      <td>22.3</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.847</td>\n",
       "      <td>1.5147</td>\n",
       "      <td>8.3853</td>\n",
       "      <td>9.1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.211</td>\n",
       "      <td>0.789</td>\n",
       "      <td>1.9201</td>\n",
       "      <td>7.1799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>1628369</td>\n",
       "      <td>Jayson Tatum</td>\n",
       "      <td>8.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>0.471</td>\n",
       "      <td>0.529</td>\n",
       "      <td>3.9564</td>\n",
       "      <td>4.4436</td>\n",
       "      <td>8.5</td>\n",
       "      <td>18.9</td>\n",
       "      <td>0.387</td>\n",
       "      <td>0.613</td>\n",
       "      <td>3.2895</td>\n",
       "      <td>5.2105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>203954</td>\n",
       "      <td>Joel Embiid</td>\n",
       "      <td>7.5</td>\n",
       "      <td>15.7</td>\n",
       "      <td>0.521</td>\n",
       "      <td>0.479</td>\n",
       "      <td>3.9075</td>\n",
       "      <td>3.5925</td>\n",
       "      <td>8.5</td>\n",
       "      <td>18.5</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.353</td>\n",
       "      <td>5.4995</td>\n",
       "      <td>3.0005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1627747</td>\n",
       "      <td>Caris LeVert</td>\n",
       "      <td>6.9</td>\n",
       "      <td>16.3</td>\n",
       "      <td>0.302</td>\n",
       "      <td>0.698</td>\n",
       "      <td>2.0838</td>\n",
       "      <td>4.8162</td>\n",
       "      <td>6.8</td>\n",
       "      <td>18.3</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.741</td>\n",
       "      <td>1.7612</td>\n",
       "      <td>5.0388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>203114</td>\n",
       "      <td>Khris Middleton</td>\n",
       "      <td>7.6</td>\n",
       "      <td>15.3</td>\n",
       "      <td>0.478</td>\n",
       "      <td>0.522</td>\n",
       "      <td>3.6328</td>\n",
       "      <td>3.9672</td>\n",
       "      <td>7.1</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.423</td>\n",
       "      <td>0.577</td>\n",
       "      <td>3.0033</td>\n",
       "      <td>4.0967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>203507</td>\n",
       "      <td>Giannis Antetokounmpo</td>\n",
       "      <td>10.9</td>\n",
       "      <td>19.7</td>\n",
       "      <td>0.453</td>\n",
       "      <td>0.547</td>\n",
       "      <td>4.9377</td>\n",
       "      <td>5.9623</td>\n",
       "      <td>10.0</td>\n",
       "      <td>17.9</td>\n",
       "      <td>0.456</td>\n",
       "      <td>0.544</td>\n",
       "      <td>4.5600</td>\n",
       "      <td>5.4400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>201566</td>\n",
       "      <td>Russell Westbrook</td>\n",
       "      <td>10.6</td>\n",
       "      <td>22.5</td>\n",
       "      <td>0.273</td>\n",
       "      <td>0.727</td>\n",
       "      <td>2.8938</td>\n",
       "      <td>7.7062</td>\n",
       "      <td>7.4</td>\n",
       "      <td>17.5</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.610</td>\n",
       "      <td>2.8860</td>\n",
       "      <td>4.5140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>1627832</td>\n",
       "      <td>Fred VanVleet</td>\n",
       "      <td>5.9</td>\n",
       "      <td>14.3</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.583</td>\n",
       "      <td>2.4603</td>\n",
       "      <td>3.4397</td>\n",
       "      <td>6.9</td>\n",
       "      <td>17.3</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.474</td>\n",
       "      <td>3.6294</td>\n",
       "      <td>3.2706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>1627759</td>\n",
       "      <td>Jaylen Brown</td>\n",
       "      <td>7.5</td>\n",
       "      <td>15.6</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.400</td>\n",
       "      <td>4.5000</td>\n",
       "      <td>3.0000</td>\n",
       "      <td>7.5</td>\n",
       "      <td>17.2</td>\n",
       "      <td>0.683</td>\n",
       "      <td>0.317</td>\n",
       "      <td>5.1225</td>\n",
       "      <td>2.3775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>201609</td>\n",
       "      <td>Goran Dragic</td>\n",
       "      <td>5.4</td>\n",
       "      <td>12.3</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.539</td>\n",
       "      <td>2.4894</td>\n",
       "      <td>2.9106</td>\n",
       "      <td>7.9</td>\n",
       "      <td>17.2</td>\n",
       "      <td>0.521</td>\n",
       "      <td>0.479</td>\n",
       "      <td>4.1159</td>\n",
       "      <td>3.7841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>202331</td>\n",
       "      <td>Paul George</td>\n",
       "      <td>7.1</td>\n",
       "      <td>16.3</td>\n",
       "      <td>0.481</td>\n",
       "      <td>0.519</td>\n",
       "      <td>3.4151</td>\n",
       "      <td>3.6849</td>\n",
       "      <td>7.0</td>\n",
       "      <td>17.1</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.595</td>\n",
       "      <td>2.8350</td>\n",
       "      <td>4.1650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>2544</td>\n",
       "      <td>LeBron James</td>\n",
       "      <td>9.6</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.289</td>\n",
       "      <td>0.711</td>\n",
       "      <td>2.7744</td>\n",
       "      <td>6.8256</td>\n",
       "      <td>9.4</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.319</td>\n",
       "      <td>0.681</td>\n",
       "      <td>2.9986</td>\n",
       "      <td>6.4014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>203933</td>\n",
       "      <td>T.J. Warren</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.9</td>\n",
       "      <td>0.659</td>\n",
       "      <td>0.341</td>\n",
       "      <td>5.2720</td>\n",
       "      <td>2.7280</td>\n",
       "      <td>8.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.656</td>\n",
       "      <td>0.344</td>\n",
       "      <td>5.2480</td>\n",
       "      <td>2.7520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>203076</td>\n",
       "      <td>Anthony Davis</td>\n",
       "      <td>8.9</td>\n",
       "      <td>17.7</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.368</td>\n",
       "      <td>5.6248</td>\n",
       "      <td>3.2752</td>\n",
       "      <td>9.9</td>\n",
       "      <td>16.9</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.414</td>\n",
       "      <td>5.8014</td>\n",
       "      <td>4.0986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>1627783</td>\n",
       "      <td>Pascal Siakam</td>\n",
       "      <td>8.3</td>\n",
       "      <td>18.4</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.514</td>\n",
       "      <td>4.0338</td>\n",
       "      <td>4.2662</td>\n",
       "      <td>6.5</td>\n",
       "      <td>16.5</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.472</td>\n",
       "      <td>3.4320</td>\n",
       "      <td>3.0680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>1627763</td>\n",
       "      <td>Malcolm Brogdon</td>\n",
       "      <td>6.0</td>\n",
       "      <td>13.8</td>\n",
       "      <td>0.248</td>\n",
       "      <td>0.752</td>\n",
       "      <td>1.4880</td>\n",
       "      <td>4.5120</td>\n",
       "      <td>6.5</td>\n",
       "      <td>16.3</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.769</td>\n",
       "      <td>1.5015</td>\n",
       "      <td>4.9985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>203081</td>\n",
       "      <td>Damian Lillard</td>\n",
       "      <td>9.5</td>\n",
       "      <td>20.4</td>\n",
       "      <td>0.181</td>\n",
       "      <td>0.819</td>\n",
       "      <td>1.7195</td>\n",
       "      <td>7.7805</td>\n",
       "      <td>6.5</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.538</td>\n",
       "      <td>3.0030</td>\n",
       "      <td>3.4970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>101108</td>\n",
       "      <td>Chris Paul</td>\n",
       "      <td>6.2</td>\n",
       "      <td>12.7</td>\n",
       "      <td>0.175</td>\n",
       "      <td>0.825</td>\n",
       "      <td>1.0850</td>\n",
       "      <td>5.1150</td>\n",
       "      <td>7.9</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.800</td>\n",
       "      <td>1.5800</td>\n",
       "      <td>6.3200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>203501</td>\n",
       "      <td>Tim Hardaway Jr.</td>\n",
       "      <td>5.4</td>\n",
       "      <td>12.5</td>\n",
       "      <td>0.688</td>\n",
       "      <td>0.313</td>\n",
       "      <td>3.7152</td>\n",
       "      <td>1.6902</td>\n",
       "      <td>6.7</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.475</td>\n",
       "      <td>3.5175</td>\n",
       "      <td>3.1825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>203471</td>\n",
       "      <td>Dennis Schroder</td>\n",
       "      <td>7.0</td>\n",
       "      <td>14.8</td>\n",
       "      <td>0.490</td>\n",
       "      <td>0.510</td>\n",
       "      <td>3.4300</td>\n",
       "      <td>3.5700</td>\n",
       "      <td>6.3</td>\n",
       "      <td>15.6</td>\n",
       "      <td>0.386</td>\n",
       "      <td>0.614</td>\n",
       "      <td>2.4318</td>\n",
       "      <td>3.8682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>202699</td>\n",
       "      <td>Tobias Harris</td>\n",
       "      <td>7.7</td>\n",
       "      <td>16.3</td>\n",
       "      <td>0.570</td>\n",
       "      <td>0.430</td>\n",
       "      <td>4.3890</td>\n",
       "      <td>3.3110</td>\n",
       "      <td>5.8</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.783</td>\n",
       "      <td>1.2586</td>\n",
       "      <td>4.5414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>1627789</td>\n",
       "      <td>Timothe Luwawu-Cabarrot</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.7</td>\n",
       "      <td>0.812</td>\n",
       "      <td>0.188</td>\n",
       "      <td>2.0300</td>\n",
       "      <td>0.4700</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14.8</td>\n",
       "      <td>0.900</td>\n",
       "      <td>0.100</td>\n",
       "      <td>4.5000</td>\n",
       "      <td>0.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>202689</td>\n",
       "      <td>Kemba Walker</td>\n",
       "      <td>6.8</td>\n",
       "      <td>15.9</td>\n",
       "      <td>0.362</td>\n",
       "      <td>0.638</td>\n",
       "      <td>2.4616</td>\n",
       "      <td>4.3384</td>\n",
       "      <td>6.6</td>\n",
       "      <td>14.7</td>\n",
       "      <td>0.274</td>\n",
       "      <td>0.726</td>\n",
       "      <td>1.8084</td>\n",
       "      <td>4.7916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>203118</td>\n",
       "      <td>Mike Scott</td>\n",
       "      <td>2.2</td>\n",
       "      <td>5.1</td>\n",
       "      <td>0.859</td>\n",
       "      <td>0.141</td>\n",
       "      <td>1.8898</td>\n",
       "      <td>0.3102</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.3000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>201577</td>\n",
       "      <td>Robin Lopez</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.320</td>\n",
       "      <td>1.4960</td>\n",
       "      <td>0.7040</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.6670</td>\n",
       "      <td>0.3330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>1628966</td>\n",
       "      <td>Keita Bates-Diop</td>\n",
       "      <td>2.3</td>\n",
       "      <td>5.3</td>\n",
       "      <td>0.760</td>\n",
       "      <td>0.240</td>\n",
       "      <td>1.7480</td>\n",
       "      <td>0.5520</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>203943</td>\n",
       "      <td>Noah Vonleh</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.577</td>\n",
       "      <td>0.423</td>\n",
       "      <td>0.8078</td>\n",
       "      <td>0.5922</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>203998</td>\n",
       "      <td>Bruno Caboclo</td>\n",
       "      <td>1.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.8892</td>\n",
       "      <td>0.4108</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>1629724</td>\n",
       "      <td>Vic Law</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.2664</td>\n",
       "      <td>0.5336</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1629599</td>\n",
       "      <td>Amir Coffey</td>\n",
       "      <td>1.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.391</td>\n",
       "      <td>0.7917</td>\n",
       "      <td>0.5083</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>1628778</td>\n",
       "      <td>Paul Watson</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.8000</td>\n",
       "      <td>0.2000</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>203460</td>\n",
       "      <td>Andre Roberson</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.875</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.9625</td>\n",
       "      <td>0.1375</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>1629682</td>\n",
       "      <td>Tremont Waters</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>0.214</td>\n",
       "      <td>0.786</td>\n",
       "      <td>0.2782</td>\n",
       "      <td>1.0218</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>201960</td>\n",
       "      <td>DeMarre Carroll</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.7200</td>\n",
       "      <td>0.2800</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>200826</td>\n",
       "      <td>J.J. Barea</td>\n",
       "      <td>2.9</td>\n",
       "      <td>7.1</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.788</td>\n",
       "      <td>0.6148</td>\n",
       "      <td>2.2852</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>1626187</td>\n",
       "      <td>Michael Frazier</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.3000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>203488</td>\n",
       "      <td>Mike Muscala</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.935</td>\n",
       "      <td>0.065</td>\n",
       "      <td>1.4960</td>\n",
       "      <td>0.1040</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>1628425</td>\n",
       "      <td>Sterling Brown</td>\n",
       "      <td>1.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.326</td>\n",
       "      <td>1.2132</td>\n",
       "      <td>0.5868</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>201162</td>\n",
       "      <td>Jared Dudley</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.958</td>\n",
       "      <td>0.042</td>\n",
       "      <td>0.4790</td>\n",
       "      <td>0.0210</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>1629605</td>\n",
       "      <td>Tacko Fall</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.818</td>\n",
       "      <td>0.182</td>\n",
       "      <td>1.3088</td>\n",
       "      <td>0.2912</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>1629611</td>\n",
       "      <td>Terance Mann</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.595</td>\n",
       "      <td>0.3645</td>\n",
       "      <td>0.5355</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.1000</td>\n",
       "      <td>0.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>2199</td>\n",
       "      <td>Tyson Chandler</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.857</td>\n",
       "      <td>0.143</td>\n",
       "      <td>0.4285</td>\n",
       "      <td>0.0715</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>1629126</td>\n",
       "      <td>Deonte Burton</td>\n",
       "      <td>1.1</td>\n",
       "      <td>3.2</td>\n",
       "      <td>0.767</td>\n",
       "      <td>0.233</td>\n",
       "      <td>0.8437</td>\n",
       "      <td>0.2563</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>201149</td>\n",
       "      <td>Joakim Noah</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.8000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>1629738</td>\n",
       "      <td>Vincent Poirier</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.706</td>\n",
       "      <td>0.294</td>\n",
       "      <td>0.5648</td>\n",
       "      <td>0.2352</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1628993</td>\n",
       "      <td>Alize Johnson</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.750</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.5250</td>\n",
       "      <td>0.1750</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1629035</td>\n",
       "      <td>Carsen Edwards</td>\n",
       "      <td>1.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0.595</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.6545</td>\n",
       "      <td>0.4455</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>1629216</td>\n",
       "      <td>Gabe Vincent</td>\n",
       "      <td>0.9</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.750</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.6750</td>\n",
       "      <td>0.2250</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>1629076</td>\n",
       "      <td>Tyler Cook</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.3000</td>\n",
       "      <td>0.3000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>1628412</td>\n",
       "      <td>Frank Mason</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.7</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.652</td>\n",
       "      <td>0.9048</td>\n",
       "      <td>1.6952</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>1628430</td>\n",
       "      <td>Nigel Williams-Goss</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.4000</td>\n",
       "      <td>0.1000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>203658</td>\n",
       "      <td>Norvel Pelle</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.320</td>\n",
       "      <td>0.6800</td>\n",
       "      <td>0.3200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>203124</td>\n",
       "      <td>Kyle O'Quinn</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>0.714</td>\n",
       "      <td>0.286</td>\n",
       "      <td>0.9996</td>\n",
       "      <td>0.4004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>215 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     PLAYER_ID          PLAYER_NAME  FGM_REGULAR  FGA_REGULAR  \\\n",
       "42     1628378     Donovan Mitchell          8.7         19.4   \n",
       "152     202696       Nikola Vucevic          8.0         16.7   \n",
       "124    1629029          Luka Doncic          9.5         20.6   \n",
       "106     202695        Kawhi Leonard          9.3         19.9   \n",
       "80     1627750         Jamal Murray          6.9         15.2   \n",
       "..         ...                  ...          ...          ...   \n",
       "205    1629076           Tyler Cook          0.6          0.9   \n",
       "57     1628412          Frank Mason          2.6          5.7   \n",
       "150    1628430  Nigel Williams-Goss          0.5          1.6   \n",
       "155     203658         Norvel Pelle          1.0          2.0   \n",
       "118     203124         Kyle O'Quinn          1.4          2.9   \n",
       "\n",
       "     PCT_AST_FGM_REGULAR  PCT_UAST_FGM_REGULAR  AST_FGM_REGULAR  \\\n",
       "42                 0.326                 0.674           2.8362   \n",
       "152                0.773                 0.227           6.1840   \n",
       "124                0.191                 0.809           1.8145   \n",
       "106                0.363                 0.637           3.3759   \n",
       "80                 0.525                 0.475           3.6225   \n",
       "..                   ...                   ...              ...   \n",
       "205                0.500                 0.500           0.3000   \n",
       "57                 0.348                 0.652           0.9048   \n",
       "150                0.800                 0.200           0.4000   \n",
       "155                0.680                 0.320           0.6800   \n",
       "118                0.714                 0.286           0.9996   \n",
       "\n",
       "     UAST_FGM_REGULAR  FGM_PLAYOFFS  FGA_PLAYOFFS  PCT_AST_FGM_PLAYOFFS  \\\n",
       "42             5.8638          11.9          22.4                 0.241   \n",
       "152            1.8160          11.2          22.2                 0.714   \n",
       "124            7.6855          10.7          21.3                 0.094   \n",
       "106            5.9241          10.4          20.5                 0.304   \n",
       "80             3.2775           9.8          19.8                 0.323   \n",
       "..                ...           ...           ...                   ...   \n",
       "205            0.3000           0.0           0.0                 0.000   \n",
       "57             1.6952           0.0           0.0                 0.000   \n",
       "150            0.1000           0.0           0.0                 0.000   \n",
       "155            0.3200           0.0           0.0                 0.000   \n",
       "118            0.4004           0.0           0.0                 0.000   \n",
       "\n",
       "     PCT_UAST_FGM_PLAYOFFS  AST_FGM_PLAYOFFS  UAST_FGM_PLAYOFFS  \n",
       "42                   0.759            2.8679             9.0321  \n",
       "152                  0.286            7.9968             3.2032  \n",
       "124                  0.906            1.0058             9.6942  \n",
       "106                  0.696            3.1616             7.2384  \n",
       "80                   0.677            3.1654             6.6346  \n",
       "..                     ...               ...                ...  \n",
       "205                  0.000            0.0000             0.0000  \n",
       "57                   0.000            0.0000             0.0000  \n",
       "150                  0.000            0.0000             0.0000  \n",
       "155                  0.000            0.0000             0.0000  \n",
       "118                  0.000            0.0000             0.0000  \n",
       "\n",
       "[215 rows x 14 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_final_df.sort_values(by='FGA_PLAYOFFS', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_final_df.loc[:, 'UAST_DIFF'] = merged_final_df.UAST_FGM_PLAYOFFS - merged_final_df.UAST_FGM_REGULAR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PLAYER_ID</th>\n",
       "      <th>PLAYER_NAME</th>\n",
       "      <th>FGM_REGULAR</th>\n",
       "      <th>FGA_REGULAR</th>\n",
       "      <th>PCT_AST_FGM_REGULAR</th>\n",
       "      <th>PCT_UAST_FGM_REGULAR</th>\n",
       "      <th>AST_FGM_REGULAR</th>\n",
       "      <th>UAST_FGM_REGULAR</th>\n",
       "      <th>FGM_PLAYOFFS</th>\n",
       "      <th>FGA_PLAYOFFS</th>\n",
       "      <th>PCT_AST_FGM_PLAYOFFS</th>\n",
       "      <th>PCT_UAST_FGM_PLAYOFFS</th>\n",
       "      <th>AST_FGM_PLAYOFFS</th>\n",
       "      <th>UAST_FGM_PLAYOFFS</th>\n",
       "      <th>UAST_DIFF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1627750</td>\n",
       "      <td>Jamal Murray</td>\n",
       "      <td>6.9</td>\n",
       "      <td>15.2</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.475</td>\n",
       "      <td>3.6225</td>\n",
       "      <td>3.2775</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19.8</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.677</td>\n",
       "      <td>3.1654</td>\n",
       "      <td>6.6346</td>\n",
       "      <td>3.3571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1628378</td>\n",
       "      <td>Donovan Mitchell</td>\n",
       "      <td>8.7</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.674</td>\n",
       "      <td>2.8362</td>\n",
       "      <td>5.8638</td>\n",
       "      <td>11.9</td>\n",
       "      <td>22.4</td>\n",
       "      <td>0.241</td>\n",
       "      <td>0.759</td>\n",
       "      <td>2.8679</td>\n",
       "      <td>9.0321</td>\n",
       "      <td>3.1683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>1629029</td>\n",
       "      <td>Luka Doncic</td>\n",
       "      <td>9.5</td>\n",
       "      <td>20.6</td>\n",
       "      <td>0.191</td>\n",
       "      <td>0.809</td>\n",
       "      <td>1.8145</td>\n",
       "      <td>7.6855</td>\n",
       "      <td>10.7</td>\n",
       "      <td>21.3</td>\n",
       "      <td>0.094</td>\n",
       "      <td>0.906</td>\n",
       "      <td>1.0058</td>\n",
       "      <td>9.6942</td>\n",
       "      <td>2.0087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>203504</td>\n",
       "      <td>Trey Burke</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.3</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1.4000</td>\n",
       "      <td>1.4000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.8</td>\n",
       "      <td>0.367</td>\n",
       "      <td>0.633</td>\n",
       "      <td>1.8350</td>\n",
       "      <td>3.1650</td>\n",
       "      <td>1.7650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>203501</td>\n",
       "      <td>Tim Hardaway Jr.</td>\n",
       "      <td>5.4</td>\n",
       "      <td>12.5</td>\n",
       "      <td>0.688</td>\n",
       "      <td>0.313</td>\n",
       "      <td>3.7152</td>\n",
       "      <td>1.6902</td>\n",
       "      <td>6.7</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.475</td>\n",
       "      <td>3.5175</td>\n",
       "      <td>3.1825</td>\n",
       "      <td>1.4923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>202696</td>\n",
       "      <td>Nikola Vucevic</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.7</td>\n",
       "      <td>0.773</td>\n",
       "      <td>0.227</td>\n",
       "      <td>6.1840</td>\n",
       "      <td>1.8160</td>\n",
       "      <td>11.2</td>\n",
       "      <td>22.2</td>\n",
       "      <td>0.714</td>\n",
       "      <td>0.286</td>\n",
       "      <td>7.9968</td>\n",
       "      <td>3.2032</td>\n",
       "      <td>1.3872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>202695</td>\n",
       "      <td>Kawhi Leonard</td>\n",
       "      <td>9.3</td>\n",
       "      <td>19.9</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.637</td>\n",
       "      <td>3.3759</td>\n",
       "      <td>5.9241</td>\n",
       "      <td>10.4</td>\n",
       "      <td>20.5</td>\n",
       "      <td>0.304</td>\n",
       "      <td>0.696</td>\n",
       "      <td>3.1616</td>\n",
       "      <td>7.2384</td>\n",
       "      <td>1.3143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>202699</td>\n",
       "      <td>Tobias Harris</td>\n",
       "      <td>7.7</td>\n",
       "      <td>16.3</td>\n",
       "      <td>0.570</td>\n",
       "      <td>0.430</td>\n",
       "      <td>4.3890</td>\n",
       "      <td>3.3110</td>\n",
       "      <td>5.8</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.783</td>\n",
       "      <td>1.2586</td>\n",
       "      <td>4.5414</td>\n",
       "      <td>1.2304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>101108</td>\n",
       "      <td>Chris Paul</td>\n",
       "      <td>6.2</td>\n",
       "      <td>12.7</td>\n",
       "      <td>0.175</td>\n",
       "      <td>0.825</td>\n",
       "      <td>1.0850</td>\n",
       "      <td>5.1150</td>\n",
       "      <td>7.9</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.800</td>\n",
       "      <td>1.5800</td>\n",
       "      <td>6.3200</td>\n",
       "      <td>1.2050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>203903</td>\n",
       "      <td>Jordan Clarkson</td>\n",
       "      <td>5.5</td>\n",
       "      <td>12.2</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.546</td>\n",
       "      <td>2.4970</td>\n",
       "      <td>3.0030</td>\n",
       "      <td>6.4</td>\n",
       "      <td>13.9</td>\n",
       "      <td>0.356</td>\n",
       "      <td>0.644</td>\n",
       "      <td>2.2784</td>\n",
       "      <td>4.1216</td>\n",
       "      <td>1.1186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>4.8</td>\n",
       "      <td>12.9</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.316</td>\n",
       "      <td>3.2832</td>\n",
       "      <td>1.5168</td>\n",
       "      <td>6.0</td>\n",
       "      <td>14.7</td>\n",
       "      <td>0.569</td>\n",
       "      <td>0.431</td>\n",
       "      <td>3.4140</td>\n",
       "      <td>2.5860</td>\n",
       "      <td>1.0692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>203500</td>\n",
       "      <td>Steven Adams</td>\n",
       "      <td>4.5</td>\n",
       "      <td>7.6</td>\n",
       "      <td>0.671</td>\n",
       "      <td>0.329</td>\n",
       "      <td>3.0195</td>\n",
       "      <td>1.4805</td>\n",
       "      <td>4.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>0.452</td>\n",
       "      <td>0.548</td>\n",
       "      <td>1.9888</td>\n",
       "      <td>2.4112</td>\n",
       "      <td>0.9307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>1629003</td>\n",
       "      <td>Shake Milton</td>\n",
       "      <td>3.4</td>\n",
       "      <td>6.9</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.403</td>\n",
       "      <td>2.0298</td>\n",
       "      <td>1.3702</td>\n",
       "      <td>5.3</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.571</td>\n",
       "      <td>0.429</td>\n",
       "      <td>3.0263</td>\n",
       "      <td>2.2737</td>\n",
       "      <td>0.9035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>201609</td>\n",
       "      <td>Goran Dragic</td>\n",
       "      <td>5.4</td>\n",
       "      <td>12.3</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.539</td>\n",
       "      <td>2.4894</td>\n",
       "      <td>2.9106</td>\n",
       "      <td>7.9</td>\n",
       "      <td>17.2</td>\n",
       "      <td>0.521</td>\n",
       "      <td>0.479</td>\n",
       "      <td>4.1159</td>\n",
       "      <td>3.7841</td>\n",
       "      <td>0.8735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>203076</td>\n",
       "      <td>Anthony Davis</td>\n",
       "      <td>8.9</td>\n",
       "      <td>17.7</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.368</td>\n",
       "      <td>5.6248</td>\n",
       "      <td>3.2752</td>\n",
       "      <td>9.9</td>\n",
       "      <td>16.9</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.414</td>\n",
       "      <td>5.8014</td>\n",
       "      <td>4.0986</td>\n",
       "      <td>0.8234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>1628369</td>\n",
       "      <td>Jayson Tatum</td>\n",
       "      <td>8.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>0.471</td>\n",
       "      <td>0.529</td>\n",
       "      <td>3.9564</td>\n",
       "      <td>4.4436</td>\n",
       "      <td>8.5</td>\n",
       "      <td>18.9</td>\n",
       "      <td>0.387</td>\n",
       "      <td>0.613</td>\n",
       "      <td>3.2895</td>\n",
       "      <td>5.2105</td>\n",
       "      <td>0.7669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>203994</td>\n",
       "      <td>Jusuf Nurkic</td>\n",
       "      <td>6.8</td>\n",
       "      <td>13.6</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.241</td>\n",
       "      <td>5.1612</td>\n",
       "      <td>1.6388</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11.4</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.480</td>\n",
       "      <td>2.6000</td>\n",
       "      <td>2.4000</td>\n",
       "      <td>0.7612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>1626169</td>\n",
       "      <td>Stanley Johnson</td>\n",
       "      <td>0.9</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.227</td>\n",
       "      <td>0.773</td>\n",
       "      <td>0.2043</td>\n",
       "      <td>0.6957</td>\n",
       "      <td>1.7</td>\n",
       "      <td>3.7</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.3400</td>\n",
       "      <td>1.3600</td>\n",
       "      <td>0.6643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>203468</td>\n",
       "      <td>CJ McCollum</td>\n",
       "      <td>8.7</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.637</td>\n",
       "      <td>3.1581</td>\n",
       "      <td>5.5419</td>\n",
       "      <td>8.8</td>\n",
       "      <td>19.8</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.705</td>\n",
       "      <td>2.5960</td>\n",
       "      <td>6.2040</td>\n",
       "      <td>0.6621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>1626167</td>\n",
       "      <td>Myles Turner</td>\n",
       "      <td>4.3</td>\n",
       "      <td>9.5</td>\n",
       "      <td>0.802</td>\n",
       "      <td>0.198</td>\n",
       "      <td>3.4486</td>\n",
       "      <td>0.8514</td>\n",
       "      <td>6.3</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.760</td>\n",
       "      <td>0.240</td>\n",
       "      <td>4.7880</td>\n",
       "      <td>1.5120</td>\n",
       "      <td>0.6606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>1629750</td>\n",
       "      <td>Javonte Green</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.683</td>\n",
       "      <td>0.317</td>\n",
       "      <td>0.8879</td>\n",
       "      <td>0.4121</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.5879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>1628365</td>\n",
       "      <td>Markelle Fultz</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.7</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.646</td>\n",
       "      <td>1.7700</td>\n",
       "      <td>3.2300</td>\n",
       "      <td>4.8</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.208</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.9984</td>\n",
       "      <td>3.8016</td>\n",
       "      <td>0.5716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>203999</td>\n",
       "      <td>Nikola Jokic</td>\n",
       "      <td>7.7</td>\n",
       "      <td>14.7</td>\n",
       "      <td>0.559</td>\n",
       "      <td>0.441</td>\n",
       "      <td>4.3043</td>\n",
       "      <td>3.3957</td>\n",
       "      <td>10.2</td>\n",
       "      <td>19.5</td>\n",
       "      <td>0.614</td>\n",
       "      <td>0.386</td>\n",
       "      <td>6.2628</td>\n",
       "      <td>3.9372</td>\n",
       "      <td>0.5415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>1629729</td>\n",
       "      <td>Josh Reaves</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.3</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.8000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>1627763</td>\n",
       "      <td>Malcolm Brogdon</td>\n",
       "      <td>6.0</td>\n",
       "      <td>13.8</td>\n",
       "      <td>0.248</td>\n",
       "      <td>0.752</td>\n",
       "      <td>1.4880</td>\n",
       "      <td>4.5120</td>\n",
       "      <td>6.5</td>\n",
       "      <td>16.3</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.769</td>\n",
       "      <td>1.5015</td>\n",
       "      <td>4.9985</td>\n",
       "      <td>0.4865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>202331</td>\n",
       "      <td>Paul George</td>\n",
       "      <td>7.1</td>\n",
       "      <td>16.3</td>\n",
       "      <td>0.481</td>\n",
       "      <td>0.519</td>\n",
       "      <td>3.4151</td>\n",
       "      <td>3.6849</td>\n",
       "      <td>7.0</td>\n",
       "      <td>17.1</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.595</td>\n",
       "      <td>2.8350</td>\n",
       "      <td>4.1650</td>\n",
       "      <td>0.4801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>1626209</td>\n",
       "      <td>Mario Hezonja</td>\n",
       "      <td>1.7</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.565</td>\n",
       "      <td>0.435</td>\n",
       "      <td>0.9605</td>\n",
       "      <td>0.7395</td>\n",
       "      <td>1.8</td>\n",
       "      <td>4.4</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.5994</td>\n",
       "      <td>1.2006</td>\n",
       "      <td>0.4611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>201145</td>\n",
       "      <td>Jeff Green</td>\n",
       "      <td>3.3</td>\n",
       "      <td>7.2</td>\n",
       "      <td>0.780</td>\n",
       "      <td>0.220</td>\n",
       "      <td>2.5740</td>\n",
       "      <td>0.7260</td>\n",
       "      <td>4.3</td>\n",
       "      <td>8.6</td>\n",
       "      <td>0.725</td>\n",
       "      <td>0.275</td>\n",
       "      <td>3.1175</td>\n",
       "      <td>1.1825</td>\n",
       "      <td>0.4565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>202689</td>\n",
       "      <td>Kemba Walker</td>\n",
       "      <td>6.8</td>\n",
       "      <td>15.9</td>\n",
       "      <td>0.362</td>\n",
       "      <td>0.638</td>\n",
       "      <td>2.4616</td>\n",
       "      <td>4.3384</td>\n",
       "      <td>6.6</td>\n",
       "      <td>14.7</td>\n",
       "      <td>0.274</td>\n",
       "      <td>0.726</td>\n",
       "      <td>1.8084</td>\n",
       "      <td>4.7916</td>\n",
       "      <td>0.4532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>201143</td>\n",
       "      <td>Al Horford</td>\n",
       "      <td>4.8</td>\n",
       "      <td>10.6</td>\n",
       "      <td>0.727</td>\n",
       "      <td>0.273</td>\n",
       "      <td>3.4896</td>\n",
       "      <td>1.3104</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.583</td>\n",
       "      <td>1.2510</td>\n",
       "      <td>1.7490</td>\n",
       "      <td>0.4386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1626246</td>\n",
       "      <td>Boban Marjanovic</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>0.537</td>\n",
       "      <td>0.463</td>\n",
       "      <td>1.5036</td>\n",
       "      <td>1.2964</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.765</td>\n",
       "      <td>0.235</td>\n",
       "      <td>2.1420</td>\n",
       "      <td>0.6580</td>\n",
       "      <td>-0.6384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>203506</td>\n",
       "      <td>Victor Oladipo</td>\n",
       "      <td>5.1</td>\n",
       "      <td>12.9</td>\n",
       "      <td>0.433</td>\n",
       "      <td>0.567</td>\n",
       "      <td>2.2083</td>\n",
       "      <td>2.8917</td>\n",
       "      <td>5.5</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.591</td>\n",
       "      <td>0.409</td>\n",
       "      <td>3.2505</td>\n",
       "      <td>2.2495</td>\n",
       "      <td>-0.6422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>1628396</td>\n",
       "      <td>Tony Bradley</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.3</td>\n",
       "      <td>0.698</td>\n",
       "      <td>0.302</td>\n",
       "      <td>1.5356</td>\n",
       "      <td>0.6644</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.3000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-0.6644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>1628978</td>\n",
       "      <td>Donte DiVincenzo</td>\n",
       "      <td>3.5</td>\n",
       "      <td>7.7</td>\n",
       "      <td>0.638</td>\n",
       "      <td>0.362</td>\n",
       "      <td>2.2330</td>\n",
       "      <td>1.2670</td>\n",
       "      <td>2.3</td>\n",
       "      <td>5.1</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.217</td>\n",
       "      <td>1.8009</td>\n",
       "      <td>0.4991</td>\n",
       "      <td>-0.7679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1628988</td>\n",
       "      <td>Aaron Holiday</td>\n",
       "      <td>3.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>0.494</td>\n",
       "      <td>0.506</td>\n",
       "      <td>1.7290</td>\n",
       "      <td>1.7710</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.3</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.333</td>\n",
       "      <td>2.0010</td>\n",
       "      <td>0.9990</td>\n",
       "      <td>-0.7720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>202683</td>\n",
       "      <td>Enes Kanter</td>\n",
       "      <td>3.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.472</td>\n",
       "      <td>0.528</td>\n",
       "      <td>1.6048</td>\n",
       "      <td>1.7952</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>-0.7952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>203085</td>\n",
       "      <td>Austin Rivers</td>\n",
       "      <td>3.1</td>\n",
       "      <td>7.4</td>\n",
       "      <td>0.469</td>\n",
       "      <td>0.531</td>\n",
       "      <td>1.4539</td>\n",
       "      <td>1.6461</td>\n",
       "      <td>1.6</td>\n",
       "      <td>5.1</td>\n",
       "      <td>0.474</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.7584</td>\n",
       "      <td>0.8416</td>\n",
       "      <td>-0.8045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>1626196</td>\n",
       "      <td>Josh Richardson</td>\n",
       "      <td>5.1</td>\n",
       "      <td>11.7</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.453</td>\n",
       "      <td>2.7897</td>\n",
       "      <td>2.3103</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.300</td>\n",
       "      <td>3.5000</td>\n",
       "      <td>1.5000</td>\n",
       "      <td>-0.8103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>202339</td>\n",
       "      <td>Eric Bledsoe</td>\n",
       "      <td>5.5</td>\n",
       "      <td>11.5</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.650</td>\n",
       "      <td>1.9250</td>\n",
       "      <td>3.5750</td>\n",
       "      <td>4.2</td>\n",
       "      <td>10.9</td>\n",
       "      <td>0.342</td>\n",
       "      <td>0.658</td>\n",
       "      <td>1.4364</td>\n",
       "      <td>2.7636</td>\n",
       "      <td>-0.8114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>1628386</td>\n",
       "      <td>Jarrett Allen</td>\n",
       "      <td>4.3</td>\n",
       "      <td>6.6</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.205</td>\n",
       "      <td>3.4185</td>\n",
       "      <td>0.8815</td>\n",
       "      <td>3.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3.5000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-0.8815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>1629725</td>\n",
       "      <td>Jeremiah Martin</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.9</td>\n",
       "      <td>0.292</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.7884</td>\n",
       "      <td>1.9116</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.750</td>\n",
       "      <td>0.3250</td>\n",
       "      <td>0.9750</td>\n",
       "      <td>-0.9366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1626153</td>\n",
       "      <td>Delon Wright</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.568</td>\n",
       "      <td>1.1232</td>\n",
       "      <td>1.4768</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.333</td>\n",
       "      <td>1.0005</td>\n",
       "      <td>0.4995</td>\n",
       "      <td>-0.9773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>202694</td>\n",
       "      <td>Marcus Morris Sr.</td>\n",
       "      <td>5.7</td>\n",
       "      <td>13.1</td>\n",
       "      <td>0.535</td>\n",
       "      <td>0.465</td>\n",
       "      <td>3.0495</td>\n",
       "      <td>2.6505</td>\n",
       "      <td>4.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>0.630</td>\n",
       "      <td>0.370</td>\n",
       "      <td>2.8350</td>\n",
       "      <td>1.6650</td>\n",
       "      <td>-0.9855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>1629682</td>\n",
       "      <td>Tremont Waters</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>0.214</td>\n",
       "      <td>0.786</td>\n",
       "      <td>0.2782</td>\n",
       "      <td>1.0218</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-1.0218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>1628983</td>\n",
       "      <td>Shai Gilgeous-Alexander</td>\n",
       "      <td>6.8</td>\n",
       "      <td>14.5</td>\n",
       "      <td>0.291</td>\n",
       "      <td>0.709</td>\n",
       "      <td>1.9788</td>\n",
       "      <td>4.8212</td>\n",
       "      <td>5.6</td>\n",
       "      <td>12.9</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.667</td>\n",
       "      <td>1.8648</td>\n",
       "      <td>3.7352</td>\n",
       "      <td>-1.0860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>203079</td>\n",
       "      <td>Dion Waiters</td>\n",
       "      <td>4.1</td>\n",
       "      <td>9.9</td>\n",
       "      <td>0.537</td>\n",
       "      <td>0.463</td>\n",
       "      <td>2.2017</td>\n",
       "      <td>1.8983</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.8000</td>\n",
       "      <td>-1.0983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>1626144</td>\n",
       "      <td>Emmanuel Mudiay</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>0.358</td>\n",
       "      <td>0.642</td>\n",
       "      <td>1.0024</td>\n",
       "      <td>1.7976</td>\n",
       "      <td>1.7</td>\n",
       "      <td>4.7</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.400</td>\n",
       "      <td>1.0200</td>\n",
       "      <td>0.6800</td>\n",
       "      <td>-1.1176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>1627783</td>\n",
       "      <td>Pascal Siakam</td>\n",
       "      <td>8.3</td>\n",
       "      <td>18.4</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.514</td>\n",
       "      <td>4.0338</td>\n",
       "      <td>4.2662</td>\n",
       "      <td>6.5</td>\n",
       "      <td>16.5</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.472</td>\n",
       "      <td>3.4320</td>\n",
       "      <td>3.0680</td>\n",
       "      <td>-1.1982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>9.9</td>\n",
       "      <td>22.3</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.847</td>\n",
       "      <td>1.5147</td>\n",
       "      <td>8.3853</td>\n",
       "      <td>9.1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.211</td>\n",
       "      <td>0.789</td>\n",
       "      <td>1.9201</td>\n",
       "      <td>7.1799</td>\n",
       "      <td>-1.2054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>202355</td>\n",
       "      <td>Hassan Whiteside</td>\n",
       "      <td>6.5</td>\n",
       "      <td>10.5</td>\n",
       "      <td>0.649</td>\n",
       "      <td>0.351</td>\n",
       "      <td>4.2185</td>\n",
       "      <td>2.2815</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.8</td>\n",
       "      <td>0.692</td>\n",
       "      <td>0.308</td>\n",
       "      <td>1.7992</td>\n",
       "      <td>0.8008</td>\n",
       "      <td>-1.4807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>203095</td>\n",
       "      <td>Evan Fournier</td>\n",
       "      <td>6.6</td>\n",
       "      <td>14.1</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.408</td>\n",
       "      <td>3.9072</td>\n",
       "      <td>2.6928</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.4</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.300</td>\n",
       "      <td>2.8000</td>\n",
       "      <td>1.2000</td>\n",
       "      <td>-1.4928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>204456</td>\n",
       "      <td>T.J. McConnell</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.750</td>\n",
       "      <td>0.7500</td>\n",
       "      <td>2.2500</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.7</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.3330</td>\n",
       "      <td>0.6670</td>\n",
       "      <td>-1.5830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>1626149</td>\n",
       "      <td>Montrezl Harrell</td>\n",
       "      <td>7.5</td>\n",
       "      <td>12.9</td>\n",
       "      <td>0.618</td>\n",
       "      <td>0.382</td>\n",
       "      <td>4.6350</td>\n",
       "      <td>2.8650</td>\n",
       "      <td>3.3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.375</td>\n",
       "      <td>2.0625</td>\n",
       "      <td>1.2375</td>\n",
       "      <td>-1.6275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>1628412</td>\n",
       "      <td>Frank Mason</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.7</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.652</td>\n",
       "      <td>0.9048</td>\n",
       "      <td>1.6952</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-1.6952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>202330</td>\n",
       "      <td>Gordon Hayward</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13.5</td>\n",
       "      <td>0.571</td>\n",
       "      <td>0.429</td>\n",
       "      <td>3.8257</td>\n",
       "      <td>2.8743</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.200</td>\n",
       "      <td>4.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>-1.8743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>202704</td>\n",
       "      <td>Reggie Jackson</td>\n",
       "      <td>4.3</td>\n",
       "      <td>10.5</td>\n",
       "      <td>0.373</td>\n",
       "      <td>0.627</td>\n",
       "      <td>1.6039</td>\n",
       "      <td>2.6961</td>\n",
       "      <td>1.9</td>\n",
       "      <td>4.2</td>\n",
       "      <td>0.714</td>\n",
       "      <td>0.286</td>\n",
       "      <td>1.3566</td>\n",
       "      <td>0.5434</td>\n",
       "      <td>-2.1527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>200826</td>\n",
       "      <td>J.J. Barea</td>\n",
       "      <td>2.9</td>\n",
       "      <td>7.1</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.788</td>\n",
       "      <td>0.6148</td>\n",
       "      <td>2.2852</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-2.2852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>1629134</td>\n",
       "      <td>Kendrick Nunn</td>\n",
       "      <td>6.0</td>\n",
       "      <td>13.6</td>\n",
       "      <td>0.501</td>\n",
       "      <td>0.499</td>\n",
       "      <td>3.0060</td>\n",
       "      <td>2.9940</td>\n",
       "      <td>1.8</td>\n",
       "      <td>5.5</td>\n",
       "      <td>0.727</td>\n",
       "      <td>0.273</td>\n",
       "      <td>1.3086</td>\n",
       "      <td>0.4914</td>\n",
       "      <td>-2.5026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>201566</td>\n",
       "      <td>Russell Westbrook</td>\n",
       "      <td>10.6</td>\n",
       "      <td>22.5</td>\n",
       "      <td>0.273</td>\n",
       "      <td>0.727</td>\n",
       "      <td>2.8938</td>\n",
       "      <td>7.7062</td>\n",
       "      <td>7.4</td>\n",
       "      <td>17.5</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.610</td>\n",
       "      <td>2.8860</td>\n",
       "      <td>4.5140</td>\n",
       "      <td>-3.1922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>203081</td>\n",
       "      <td>Damian Lillard</td>\n",
       "      <td>9.5</td>\n",
       "      <td>20.4</td>\n",
       "      <td>0.181</td>\n",
       "      <td>0.819</td>\n",
       "      <td>1.7195</td>\n",
       "      <td>7.7805</td>\n",
       "      <td>6.5</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.538</td>\n",
       "      <td>3.0030</td>\n",
       "      <td>3.4970</td>\n",
       "      <td>-4.2835</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>215 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     PLAYER_ID        PLAYER_NAME  FGM_REGULAR  FGA_REGULAR  \\\n",
       "80     1627750       Jamal Murray          6.9         15.2   \n",
       "42     1628378   Donovan Mitchell          8.7         19.4   \n",
       "124    1629029        Luka Doncic          9.5         20.6   \n",
       "203     203504         Trey Burke          2.8          6.3   \n",
       "197     203501   Tim Hardaway Jr.          5.4         12.5   \n",
       "..         ...                ...          ...          ...   \n",
       "170     202704     Reggie Jackson          4.3         10.5   \n",
       "74      200826         J.J. Barea          2.9          7.1   \n",
       "110    1629134      Kendrick Nunn          6.0         13.6   \n",
       "180     201566  Russell Westbrook         10.6         22.5   \n",
       "30      203081     Damian Lillard          9.5         20.4   \n",
       "\n",
       "     PCT_AST_FGM_REGULAR  PCT_UAST_FGM_REGULAR  AST_FGM_REGULAR  \\\n",
       "80                 0.525                 0.475           3.6225   \n",
       "42                 0.326                 0.674           2.8362   \n",
       "124                0.191                 0.809           1.8145   \n",
       "203                0.500                 0.500           1.4000   \n",
       "197                0.688                 0.313           3.7152   \n",
       "..                   ...                   ...              ...   \n",
       "170                0.373                 0.627           1.6039   \n",
       "74                 0.212                 0.788           0.6148   \n",
       "110                0.501                 0.499           3.0060   \n",
       "180                0.273                 0.727           2.8938   \n",
       "30                 0.181                 0.819           1.7195   \n",
       "\n",
       "     UAST_FGM_REGULAR  FGM_PLAYOFFS  FGA_PLAYOFFS  PCT_AST_FGM_PLAYOFFS  \\\n",
       "80             3.2775           9.8          19.8                 0.323   \n",
       "42             5.8638          11.9          22.4                 0.241   \n",
       "124            7.6855          10.7          21.3                 0.094   \n",
       "203            1.4000           5.0           9.8                 0.367   \n",
       "197            1.6902           6.7          15.8                 0.525   \n",
       "..                ...           ...           ...                   ...   \n",
       "170            2.6961           1.9           4.2                 0.714   \n",
       "74             2.2852           0.0           1.0                 0.000   \n",
       "110            2.9940           1.8           5.5                 0.727   \n",
       "180            7.7062           7.4          17.5                 0.390   \n",
       "30             7.7805           6.5          16.0                 0.462   \n",
       "\n",
       "     PCT_UAST_FGM_PLAYOFFS  AST_FGM_PLAYOFFS  UAST_FGM_PLAYOFFS  UAST_DIFF  \n",
       "80                   0.677            3.1654             6.6346     3.3571  \n",
       "42                   0.759            2.8679             9.0321     3.1683  \n",
       "124                  0.906            1.0058             9.6942     2.0087  \n",
       "203                  0.633            1.8350             3.1650     1.7650  \n",
       "197                  0.475            3.5175             3.1825     1.4923  \n",
       "..                     ...               ...                ...        ...  \n",
       "170                  0.286            1.3566             0.5434    -2.1527  \n",
       "74                   0.000            0.0000             0.0000    -2.2852  \n",
       "110                  0.273            1.3086             0.4914    -2.5026  \n",
       "180                  0.610            2.8860             4.5140    -3.1922  \n",
       "30                   0.538            3.0030             3.4970    -4.2835  \n",
       "\n",
       "[215 rows x 15 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_final_df.sort_values(by='UAST_DIFF', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_playoffs = merged_final_df.sort_values(by='FGM_PLAYOFFS', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_playoffs = top_playoffs.iloc[:30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "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>PLAYER_ID</th>\n",
       "      <th>PLAYER_NAME</th>\n",
       "      <th>FGM_REGULAR</th>\n",
       "      <th>FGA_REGULAR</th>\n",
       "      <th>PCT_AST_FGM_REGULAR</th>\n",
       "      <th>PCT_UAST_FGM_REGULAR</th>\n",
       "      <th>AST_FGM_REGULAR</th>\n",
       "      <th>UAST_FGM_REGULAR</th>\n",
       "      <th>FGM_PLAYOFFS</th>\n",
       "      <th>FGA_PLAYOFFS</th>\n",
       "      <th>PCT_AST_FGM_PLAYOFFS</th>\n",
       "      <th>PCT_UAST_FGM_PLAYOFFS</th>\n",
       "      <th>AST_FGM_PLAYOFFS</th>\n",
       "      <th>UAST_FGM_PLAYOFFS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1628378</td>\n",
       "      <td>Donovan Mitchell</td>\n",
       "      <td>8.7</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.674</td>\n",
       "      <td>2.8362</td>\n",
       "      <td>5.8638</td>\n",
       "      <td>11.9</td>\n",
       "      <td>22.4</td>\n",
       "      <td>0.241</td>\n",
       "      <td>0.759</td>\n",
       "      <td>2.8679</td>\n",
       "      <td>9.0321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>202696</td>\n",
       "      <td>Nikola Vucevic</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.7</td>\n",
       "      <td>0.773</td>\n",
       "      <td>0.227</td>\n",
       "      <td>6.1840</td>\n",
       "      <td>1.8160</td>\n",
       "      <td>11.2</td>\n",
       "      <td>22.2</td>\n",
       "      <td>0.714</td>\n",
       "      <td>0.286</td>\n",
       "      <td>7.9968</td>\n",
       "      <td>3.2032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>1629029</td>\n",
       "      <td>Luka Doncic</td>\n",
       "      <td>9.5</td>\n",
       "      <td>20.6</td>\n",
       "      <td>0.191</td>\n",
       "      <td>0.809</td>\n",
       "      <td>1.8145</td>\n",
       "      <td>7.6855</td>\n",
       "      <td>10.7</td>\n",
       "      <td>21.3</td>\n",
       "      <td>0.094</td>\n",
       "      <td>0.906</td>\n",
       "      <td>1.0058</td>\n",
       "      <td>9.6942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>202695</td>\n",
       "      <td>Kawhi Leonard</td>\n",
       "      <td>9.3</td>\n",
       "      <td>19.9</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.637</td>\n",
       "      <td>3.3759</td>\n",
       "      <td>5.9241</td>\n",
       "      <td>10.4</td>\n",
       "      <td>20.5</td>\n",
       "      <td>0.304</td>\n",
       "      <td>0.696</td>\n",
       "      <td>3.1616</td>\n",
       "      <td>7.2384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>203999</td>\n",
       "      <td>Nikola Jokic</td>\n",
       "      <td>7.7</td>\n",
       "      <td>14.7</td>\n",
       "      <td>0.559</td>\n",
       "      <td>0.441</td>\n",
       "      <td>4.3043</td>\n",
       "      <td>3.3957</td>\n",
       "      <td>10.2</td>\n",
       "      <td>19.5</td>\n",
       "      <td>0.614</td>\n",
       "      <td>0.386</td>\n",
       "      <td>6.2628</td>\n",
       "      <td>3.9372</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PLAYER_ID       PLAYER_NAME  FGM_REGULAR  FGA_REGULAR  \\\n",
       "42     1628378  Donovan Mitchell          8.7         19.4   \n",
       "152     202696    Nikola Vucevic          8.0         16.7   \n",
       "124    1629029       Luka Doncic          9.5         20.6   \n",
       "106     202695     Kawhi Leonard          9.3         19.9   \n",
       "151     203999      Nikola Jokic          7.7         14.7   \n",
       "\n",
       "     PCT_AST_FGM_REGULAR  PCT_UAST_FGM_REGULAR  AST_FGM_REGULAR  \\\n",
       "42                 0.326                 0.674           2.8362   \n",
       "152                0.773                 0.227           6.1840   \n",
       "124                0.191                 0.809           1.8145   \n",
       "106                0.363                 0.637           3.3759   \n",
       "151                0.559                 0.441           4.3043   \n",
       "\n",
       "     UAST_FGM_REGULAR  FGM_PLAYOFFS  FGA_PLAYOFFS  PCT_AST_FGM_PLAYOFFS  \\\n",
       "42             5.8638          11.9          22.4                 0.241   \n",
       "152            1.8160          11.2          22.2                 0.714   \n",
       "124            7.6855          10.7          21.3                 0.094   \n",
       "106            5.9241          10.4          20.5                 0.304   \n",
       "151            3.3957          10.2          19.5                 0.614   \n",
       "\n",
       "     PCT_UAST_FGM_PLAYOFFS  AST_FGM_PLAYOFFS  UAST_FGM_PLAYOFFS  \n",
       "42                   0.759            2.8679             9.0321  \n",
       "152                  0.286            7.9968             3.2032  \n",
       "124                  0.906            1.0058             9.6942  \n",
       "106                  0.696            3.1616             7.2384  \n",
       "151                  0.386            6.2628             3.9372  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_playoffs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_playoffs.loc[:, 'UAST_DIFF'] = top_playoffs.UAST_FGM_PLAYOFFS - top_playoffs.UAST_FGM_REGULAR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [],
   "source": [
    "scoring_columns = ['PLAYER_ID', 'PLAYER_NAME', 'TEAM_ID', 'TEAM_ABBREVIATION', 'PCT_AST_FGM', 'PCT_UAST_FGM']\n",
    "regular_columns = ['PLAYER_ID', 'PLAYER_NAME', 'TEAM_ID', 'TEAM_ABBREVIATION', 'GP', 'PTS', 'FGM', 'FGA']\n",
    "_MERGE_KEY = ['PLAYER_ID', 'PLAYER_NAME', 'TEAM_ID', 'TEAM_ABBREVIATION']\n",
    "\n",
    "\n",
    "def scoring_data(playoff_rounds = [1, 2]):\n",
    "    scoring_stats = LeagueDashPlayerStats(measure_type_detailed_defense='Scoring').get_data_frames()[0]\n",
    "    normal_stats = LeagueDashPlayerStats(measure_type_detailed_defense='Base', per_mode_detailed='PerGame').get_data_frames()[0]\n",
    "    scoring_stats = scoring_stats.loc[:, scoring_columns]\n",
    "    normal_stats = normal_stats.loc[:, regular_columns]\n",
    "    merged_regular = pd.merge(left=normal_stats, right=scoring_stats, on=_MERGE_KEY)\n",
    "    \n",
    "    playoff_dfs = []\n",
    "    merged_final = merged_regular\n",
    "    merged_final.loc[:, 'UAST_FGM_REGULAR'] = merged_final.PCT_UAST_FGM * merged_final.FGM\n",
    "    merged_final.loc[:, 'UAST_DIFF_REGULAR'] = 0.0\n",
    "    for index, playoff_round in enumerate(playoff_rounds):\n",
    "        scoring_stats_po = LeagueDashPlayerStats(measure_type_detailed_defense='Scoring', season_type_all_star='Playoffs', po_round_nullable=f\"{playoff_round}\").get_data_frames()[0]\n",
    "        normal_stats_po = LeagueDashPlayerStats(measure_type_detailed_defense='Base', per_mode_detailed='PerGame',season_type_all_star='Playoffs', po_round_nullable=f\"{playoff_round}\").get_data_frames()[0]\n",
    "        scoring_stats_po = scoring_stats_po.loc[:, scoring_columns]\n",
    "        normal_stats_po = normal_stats_po.loc[:, regular_columns]\n",
    "        merged_po = pd.merge(left=normal_stats_po, right=scoring_stats_po, on=_MERGE_KEY)\n",
    "        merged_final = pd.merge(left=merged_final, right=merged_po, how='inner', on=_MERGE_KEY, suffixes=('', f'_ROUND_{playoff_round}'))\n",
    "        merged_final.loc[:, f'UAST_FGM_ROUND_{playoff_round}'] = merged_final[f'PCT_UAST_FGM_ROUND_{playoff_round}'] * merged_final[f'FGM_ROUND_{playoff_round}']\n",
    "        merged_final.loc[:, f'UAST_DIFF_ROUND_{playoff_round}'] = merged_final[f'UAST_FGM_ROUND_{playoff_round}'] - merged_final.UAST_FGM_REGULAR\n",
    "    \n",
    "    normal_playoffs = LeagueDashPlayerStats(measure_type_detailed_defense='Base', per_mode_detailed='PerGame', season_type_all_star='Playoffs').get_data_frames()[0]\n",
    "    normal_playoffs = normal_playoffs.loc[:, regular_columns]\n",
    "    scoring_stats_playoffs = LeagueDashPlayerStats(measure_type_detailed_defense='Scoring', season_type_all_star='Playoffs').get_data_frames()[0]\n",
    "    scoring_stats_playoffs = scoring_stats_playoffs.loc[:, scoring_columns]\n",
    "    merged_total_po = pd.merge(left=normal_playoffs, right=scoring_stats_playoffs, on=_MERGE_KEY)\n",
    "    \n",
    "    \n",
    "    #merged_final = pd.merge(left=merged_final, right=normal_playoffs, on=_MERGE_KEY, suffixes=('', '_PLAYOFFS'))\n",
    "    \n",
    "    \n",
    "    merged_final = pd.merge(left=merged_final, right=merged_total_po, on=_MERGE_KEY, suffixes=('', '_PLAYOFFS'))\n",
    "    merged_final.loc[:, f'UAST_FGM_PLAYOFFS'] = merged_final[f'PCT_UAST_FGM_PLAYOFFS'] * merged_final[f'FGM_PLAYOFFS']\n",
    "    merged_final.loc[:, f'UAST_DIFF_PLAYOFFS'] = merged_final[f'UAST_FGM_PLAYOFFS'] - merged_final.UAST_FGM_REGULAR\n",
    "    merged_final = merged_final.sort_values(by='PTS_PLAYOFFS', ascending=False)\n",
    "    return merged_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_both_rounds = scoring_data(playoff_rounds=[1, 2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_non_na_diffs(cur_row):\n",
    "    dropped = cur_row.dropna()\n",
    "    target_list = [\n",
    "        dropped['UAST_DIFF_REGULAR'],\n",
    "        dropped['UAST_DIFF_ROUND_1'],\n",
    "    ]\n",
    "    if 'UAST_DIFF_ROUND_2' in dropped:\n",
    "        target_list.append(dropped['UAST_DIFF_ROUND_2'])\n",
    "    return list(range(len(target_list))), target_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered_playoffs = merged_both_rounds.loc[(merged_both_rounds.FGA >= 10) & (merged_both_rounds.FGA_PLAYOFFS >= 10)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_players = filtered_playoffs.sort_values(by='UAST_DIFF_PLAYOFFS', ascending=False).iloc[:6]\n",
    "bottom_players = filtered_playoffs.sort_values(by='UAST_DIFF_PLAYOFFS', ascending=False).iloc[-3:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [],
   "source": [
    "others = filtered_playoffs.loc[~filtered_playoffs.PLAYER_ID.isin(top_players.PLAYER_ID.tolist() + bottom_players.PLAYER_ID.tolist())]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [],
   "source": [
    "bottom_top = pd.concat([top_players, bottom_players])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "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>PLAYER_ID</th>\n",
       "      <th>PLAYER_NAME</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_ABBREVIATION</th>\n",
       "      <th>GP</th>\n",
       "      <th>PTS</th>\n",
       "      <th>FGM</th>\n",
       "      <th>FGA</th>\n",
       "      <th>PCT_AST_FGM</th>\n",
       "      <th>PCT_UAST_FGM</th>\n",
       "      <th>...</th>\n",
       "      <th>UAST_FGM_ROUND_2</th>\n",
       "      <th>UAST_DIFF_ROUND_2</th>\n",
       "      <th>GP_PLAYOFFS</th>\n",
       "      <th>PTS_PLAYOFFS</th>\n",
       "      <th>FGM_PLAYOFFS</th>\n",
       "      <th>FGA_PLAYOFFS</th>\n",
       "      <th>PCT_AST_FGM_PLAYOFFS</th>\n",
       "      <th>PCT_UAST_FGM_PLAYOFFS</th>\n",
       "      <th>UAST_FGM_PLAYOFFS</th>\n",
       "      <th>UAST_DIFF_PLAYOFFS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1627750</td>\n",
       "      <td>Jamal Murray</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>59</td>\n",
       "      <td>18.5</td>\n",
       "      <td>6.9</td>\n",
       "      <td>15.2</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.475</td>\n",
       "      <td>...</td>\n",
       "      <td>4.9786</td>\n",
       "      <td>1.7011</td>\n",
       "      <td>13</td>\n",
       "      <td>26.1</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19.8</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.677</td>\n",
       "      <td>6.6346</td>\n",
       "      <td>3.3571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>202695</td>\n",
       "      <td>Kawhi Leonard</td>\n",
       "      <td>1610612746</td>\n",
       "      <td>LAC</td>\n",
       "      <td>57</td>\n",
       "      <td>27.1</td>\n",
       "      <td>9.3</td>\n",
       "      <td>19.9</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.637</td>\n",
       "      <td>...</td>\n",
       "      <td>5.6856</td>\n",
       "      <td>-0.2385</td>\n",
       "      <td>12</td>\n",
       "      <td>29.4</td>\n",
       "      <td>10.4</td>\n",
       "      <td>20.5</td>\n",
       "      <td>0.304</td>\n",
       "      <td>0.696</td>\n",
       "      <td>7.2384</td>\n",
       "      <td>1.3143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>36</td>\n",
       "      <td>14.4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>12.9</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.316</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>-0.5168</td>\n",
       "      <td>12</td>\n",
       "      <td>17.3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>14.7</td>\n",
       "      <td>0.569</td>\n",
       "      <td>0.431</td>\n",
       "      <td>2.5860</td>\n",
       "      <td>1.0692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>201609</td>\n",
       "      <td>Goran Dragic</td>\n",
       "      <td>1610612748</td>\n",
       "      <td>MIA</td>\n",
       "      <td>59</td>\n",
       "      <td>16.2</td>\n",
       "      <td>5.4</td>\n",
       "      <td>12.3</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.539</td>\n",
       "      <td>...</td>\n",
       "      <td>3.1990</td>\n",
       "      <td>0.2884</td>\n",
       "      <td>9</td>\n",
       "      <td>21.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>17.2</td>\n",
       "      <td>0.521</td>\n",
       "      <td>0.479</td>\n",
       "      <td>3.7841</td>\n",
       "      <td>0.8735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>203076</td>\n",
       "      <td>Anthony Davis</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>62</td>\n",
       "      <td>26.1</td>\n",
       "      <td>8.9</td>\n",
       "      <td>17.7</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.368</td>\n",
       "      <td>...</td>\n",
       "      <td>5.2032</td>\n",
       "      <td>1.9280</td>\n",
       "      <td>10</td>\n",
       "      <td>27.6</td>\n",
       "      <td>9.9</td>\n",
       "      <td>16.9</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.414</td>\n",
       "      <td>4.0986</td>\n",
       "      <td>0.8234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>1628369</td>\n",
       "      <td>Jayson Tatum</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>66</td>\n",
       "      <td>23.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>0.471</td>\n",
       "      <td>0.529</td>\n",
       "      <td>...</td>\n",
       "      <td>4.4556</td>\n",
       "      <td>0.0120</td>\n",
       "      <td>11</td>\n",
       "      <td>25.3</td>\n",
       "      <td>8.5</td>\n",
       "      <td>18.9</td>\n",
       "      <td>0.387</td>\n",
       "      <td>0.613</td>\n",
       "      <td>5.2105</td>\n",
       "      <td>0.7669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>1627783</td>\n",
       "      <td>Pascal Siakam</td>\n",
       "      <td>1610612761</td>\n",
       "      <td>TOR</td>\n",
       "      <td>60</td>\n",
       "      <td>22.9</td>\n",
       "      <td>8.3</td>\n",
       "      <td>18.4</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.514</td>\n",
       "      <td>...</td>\n",
       "      <td>3.2880</td>\n",
       "      <td>-0.9782</td>\n",
       "      <td>11</td>\n",
       "      <td>17.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>16.5</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.472</td>\n",
       "      <td>3.0680</td>\n",
       "      <td>-1.1982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>68</td>\n",
       "      <td>34.3</td>\n",
       "      <td>9.9</td>\n",
       "      <td>22.3</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.847</td>\n",
       "      <td>...</td>\n",
       "      <td>6.3984</td>\n",
       "      <td>-1.9869</td>\n",
       "      <td>12</td>\n",
       "      <td>29.6</td>\n",
       "      <td>9.1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.211</td>\n",
       "      <td>0.789</td>\n",
       "      <td>7.1799</td>\n",
       "      <td>-1.2054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>201566</td>\n",
       "      <td>Russell Westbrook</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>57</td>\n",
       "      <td>27.2</td>\n",
       "      <td>10.6</td>\n",
       "      <td>22.5</td>\n",
       "      <td>0.273</td>\n",
       "      <td>0.727</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0014</td>\n",
       "      <td>-3.7048</td>\n",
       "      <td>8</td>\n",
       "      <td>17.9</td>\n",
       "      <td>7.4</td>\n",
       "      <td>17.5</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.610</td>\n",
       "      <td>4.5140</td>\n",
       "      <td>-3.1922</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    PLAYER_ID        PLAYER_NAME     TEAM_ID TEAM_ABBREVIATION  GP   PTS  \\\n",
       "35    1627750       Jamal Murray  1610612743               DEN  59  18.5   \n",
       "44     202695      Kawhi Leonard  1610612746               LAC  57  27.1   \n",
       "22     201569        Eric Gordon  1610612745               HOU  36  14.4   \n",
       "28     201609       Goran Dragic  1610612748               MIA  59  16.2   \n",
       "2      203076      Anthony Davis  1610612747               LAL  62  26.1   \n",
       "39    1628369       Jayson Tatum  1610612738               BOS  66  23.4   \n",
       "73    1627783      Pascal Siakam  1610612761               TOR  60  22.9   \n",
       "36     201935       James Harden  1610612745               HOU  68  34.3   \n",
       "85     201566  Russell Westbrook  1610612745               HOU  57  27.2   \n",
       "\n",
       "     FGM   FGA  PCT_AST_FGM  PCT_UAST_FGM  ...  UAST_FGM_ROUND_2  \\\n",
       "35   6.9  15.2        0.525         0.475  ...            4.9786   \n",
       "44   9.3  19.9        0.363         0.637  ...            5.6856   \n",
       "22   4.8  12.9        0.684         0.316  ...            1.0000   \n",
       "28   5.4  12.3        0.461         0.539  ...            3.1990   \n",
       "2    8.9  17.7        0.632         0.368  ...            5.2032   \n",
       "39   8.4  18.6        0.471         0.529  ...            4.4556   \n",
       "73   8.3  18.4        0.486         0.514  ...            3.2880   \n",
       "36   9.9  22.3        0.153         0.847  ...            6.3984   \n",
       "85  10.6  22.5        0.273         0.727  ...            4.0014   \n",
       "\n",
       "    UAST_DIFF_ROUND_2  GP_PLAYOFFS  PTS_PLAYOFFS  FGM_PLAYOFFS  FGA_PLAYOFFS  \\\n",
       "35             1.7011           13          26.1           9.8          19.8   \n",
       "44            -0.2385           12          29.4          10.4          20.5   \n",
       "22            -0.5168           12          17.3           6.0          14.7   \n",
       "28             0.2884            9          21.1           7.9          17.2   \n",
       "2              1.9280           10          27.6           9.9          16.9   \n",
       "39             0.0120           11          25.3           8.5          18.9   \n",
       "73            -0.9782           11          17.0           6.5          16.5   \n",
       "36            -1.9869           12          29.6           9.1          19.0   \n",
       "85            -3.7048            8          17.9           7.4          17.5   \n",
       "\n",
       "    PCT_AST_FGM_PLAYOFFS  PCT_UAST_FGM_PLAYOFFS  UAST_FGM_PLAYOFFS  \\\n",
       "35                 0.323                  0.677             6.6346   \n",
       "44                 0.304                  0.696             7.2384   \n",
       "22                 0.569                  0.431             2.5860   \n",
       "28                 0.521                  0.479             3.7841   \n",
       "2                  0.586                  0.414             4.0986   \n",
       "39                 0.387                  0.613             5.2105   \n",
       "73                 0.528                  0.472             3.0680   \n",
       "36                 0.211                  0.789             7.1799   \n",
       "85                 0.390                  0.610             4.5140   \n",
       "\n",
       "    UAST_DIFF_PLAYOFFS  \n",
       "35              3.3571  \n",
       "44              1.3143  \n",
       "22              1.0692  \n",
       "28              0.8735  \n",
       "2               0.8234  \n",
       "39              0.7669  \n",
       "73             -1.1982  \n",
       "36             -1.2054  \n",
       "85             -3.1922  \n",
       "\n",
       "[9 rows x 36 columns]"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bottom_top"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [],
   "source": [
    "bottom_top.loc[:, 'COLOR'] = [\n",
    "    '#FEC524',\n",
    "    '#1D428A',\n",
    "    '#CE1141',\n",
    "    '#41B6E6',\n",
    "    '#552583',\n",
    "    '#007A33',\n",
    "    '#B4975A',\n",
    "    '#CE1141',\n",
    "    '#CE1141',\n",
    "]\n",
    "\n",
    "bottom_top.loc[:, 'STYLE'] = [\n",
    "    '-',\n",
    "    '-',\n",
    "    '-',\n",
    "    '-',\n",
    "    '-',\n",
    "    '-',\n",
    "    '-',\n",
    "    '--',\n",
    "    ':',\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [],
   "source": [
    "bball_gray = '#312f30'\n",
    "bball_white = '#dddee0'\n",
    "bball_orange = '#f87c24'\n",
    "bball_light_orange = '#fbaf7b'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {},
   "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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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PLAYER_ID</th>\n",
       "      <th>PLAYER_NAME</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_ABBREVIATION</th>\n",
       "      <th>GP</th>\n",
       "      <th>PTS</th>\n",
       "      <th>FGM</th>\n",
       "      <th>FGA</th>\n",
       "      <th>PCT_AST_FGM</th>\n",
       "      <th>PCT_UAST_FGM</th>\n",
       "      <th>...</th>\n",
       "      <th>GP_PLAYOFFS</th>\n",
       "      <th>PTS_PLAYOFFS</th>\n",
       "      <th>FGM_PLAYOFFS</th>\n",
       "      <th>FGA_PLAYOFFS</th>\n",
       "      <th>PCT_AST_FGM_PLAYOFFS</th>\n",
       "      <th>PCT_UAST_FGM_PLAYOFFS</th>\n",
       "      <th>UAST_FGM_PLAYOFFS</th>\n",
       "      <th>UAST_DIFF_PLAYOFFS</th>\n",
       "      <th>COLOR</th>\n",
       "      <th>STYLE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1627750</td>\n",
       "      <td>Jamal Murray</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>59</td>\n",
       "      <td>18.5</td>\n",
       "      <td>6.9</td>\n",
       "      <td>15.2</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.475</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>26.1</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19.8</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.677</td>\n",
       "      <td>6.6346</td>\n",
       "      <td>3.3571</td>\n",
       "      <td>#FEC524</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>202695</td>\n",
       "      <td>Kawhi Leonard</td>\n",
       "      <td>1610612746</td>\n",
       "      <td>LAC</td>\n",
       "      <td>57</td>\n",
       "      <td>27.1</td>\n",
       "      <td>9.3</td>\n",
       "      <td>19.9</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.637</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>29.4</td>\n",
       "      <td>10.4</td>\n",
       "      <td>20.5</td>\n",
       "      <td>0.304</td>\n",
       "      <td>0.696</td>\n",
       "      <td>7.2384</td>\n",
       "      <td>1.3143</td>\n",
       "      <td>#1D428A</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>201569</td>\n",
       "      <td>Eric Gordon</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>36</td>\n",
       "      <td>14.4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>12.9</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.316</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>17.3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>14.7</td>\n",
       "      <td>0.569</td>\n",
       "      <td>0.431</td>\n",
       "      <td>2.5860</td>\n",
       "      <td>1.0692</td>\n",
       "      <td>#CE1141</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>201609</td>\n",
       "      <td>Goran Dragic</td>\n",
       "      <td>1610612748</td>\n",
       "      <td>MIA</td>\n",
       "      <td>59</td>\n",
       "      <td>16.2</td>\n",
       "      <td>5.4</td>\n",
       "      <td>12.3</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.539</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>21.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>17.2</td>\n",
       "      <td>0.521</td>\n",
       "      <td>0.479</td>\n",
       "      <td>3.7841</td>\n",
       "      <td>0.8735</td>\n",
       "      <td>#41B6E6</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>203076</td>\n",
       "      <td>Anthony Davis</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>62</td>\n",
       "      <td>26.1</td>\n",
       "      <td>8.9</td>\n",
       "      <td>17.7</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.368</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>27.6</td>\n",
       "      <td>9.9</td>\n",
       "      <td>16.9</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.414</td>\n",
       "      <td>4.0986</td>\n",
       "      <td>0.8234</td>\n",
       "      <td>#552583</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>1628369</td>\n",
       "      <td>Jayson Tatum</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>66</td>\n",
       "      <td>23.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>0.471</td>\n",
       "      <td>0.529</td>\n",
       "      <td>...</td>\n",
       "      <td>11</td>\n",
       "      <td>25.3</td>\n",
       "      <td>8.5</td>\n",
       "      <td>18.9</td>\n",
       "      <td>0.387</td>\n",
       "      <td>0.613</td>\n",
       "      <td>5.2105</td>\n",
       "      <td>0.7669</td>\n",
       "      <td>#007A33</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>1627783</td>\n",
       "      <td>Pascal Siakam</td>\n",
       "      <td>1610612761</td>\n",
       "      <td>TOR</td>\n",
       "      <td>60</td>\n",
       "      <td>22.9</td>\n",
       "      <td>8.3</td>\n",
       "      <td>18.4</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.514</td>\n",
       "      <td>...</td>\n",
       "      <td>11</td>\n",
       "      <td>17.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>16.5</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.472</td>\n",
       "      <td>3.0680</td>\n",
       "      <td>-1.1982</td>\n",
       "      <td>#B4975A</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>68</td>\n",
       "      <td>34.3</td>\n",
       "      <td>9.9</td>\n",
       "      <td>22.3</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.847</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>29.6</td>\n",
       "      <td>9.1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.211</td>\n",
       "      <td>0.789</td>\n",
       "      <td>7.1799</td>\n",
       "      <td>-1.2054</td>\n",
       "      <td>#CE1141</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>201566</td>\n",
       "      <td>Russell Westbrook</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>57</td>\n",
       "      <td>27.2</td>\n",
       "      <td>10.6</td>\n",
       "      <td>22.5</td>\n",
       "      <td>0.273</td>\n",
       "      <td>0.727</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>17.9</td>\n",
       "      <td>7.4</td>\n",
       "      <td>17.5</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.610</td>\n",
       "      <td>4.5140</td>\n",
       "      <td>-3.1922</td>\n",
       "      <td>#CE1141</td>\n",
       "      <td>:</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    PLAYER_ID        PLAYER_NAME     TEAM_ID TEAM_ABBREVIATION  GP   PTS  \\\n",
       "35    1627750       Jamal Murray  1610612743               DEN  59  18.5   \n",
       "44     202695      Kawhi Leonard  1610612746               LAC  57  27.1   \n",
       "22     201569        Eric Gordon  1610612745               HOU  36  14.4   \n",
       "28     201609       Goran Dragic  1610612748               MIA  59  16.2   \n",
       "2      203076      Anthony Davis  1610612747               LAL  62  26.1   \n",
       "39    1628369       Jayson Tatum  1610612738               BOS  66  23.4   \n",
       "73    1627783      Pascal Siakam  1610612761               TOR  60  22.9   \n",
       "36     201935       James Harden  1610612745               HOU  68  34.3   \n",
       "85     201566  Russell Westbrook  1610612745               HOU  57  27.2   \n",
       "\n",
       "     FGM   FGA  PCT_AST_FGM  PCT_UAST_FGM  ...  GP_PLAYOFFS  PTS_PLAYOFFS  \\\n",
       "35   6.9  15.2        0.525         0.475  ...           13          26.1   \n",
       "44   9.3  19.9        0.363         0.637  ...           12          29.4   \n",
       "22   4.8  12.9        0.684         0.316  ...           12          17.3   \n",
       "28   5.4  12.3        0.461         0.539  ...            9          21.1   \n",
       "2    8.9  17.7        0.632         0.368  ...           10          27.6   \n",
       "39   8.4  18.6        0.471         0.529  ...           11          25.3   \n",
       "73   8.3  18.4        0.486         0.514  ...           11          17.0   \n",
       "36   9.9  22.3        0.153         0.847  ...           12          29.6   \n",
       "85  10.6  22.5        0.273         0.727  ...            8          17.9   \n",
       "\n",
       "    FGM_PLAYOFFS  FGA_PLAYOFFS  PCT_AST_FGM_PLAYOFFS  PCT_UAST_FGM_PLAYOFFS  \\\n",
       "35           9.8          19.8                 0.323                  0.677   \n",
       "44          10.4          20.5                 0.304                  0.696   \n",
       "22           6.0          14.7                 0.569                  0.431   \n",
       "28           7.9          17.2                 0.521                  0.479   \n",
       "2            9.9          16.9                 0.586                  0.414   \n",
       "39           8.5          18.9                 0.387                  0.613   \n",
       "73           6.5          16.5                 0.528                  0.472   \n",
       "36           9.1          19.0                 0.211                  0.789   \n",
       "85           7.4          17.5                 0.390                  0.610   \n",
       "\n",
       "    UAST_FGM_PLAYOFFS  UAST_DIFF_PLAYOFFS    COLOR  STYLE  \n",
       "35             6.6346              3.3571  #FEC524      -  \n",
       "44             7.2384              1.3143  #1D428A      -  \n",
       "22             2.5860              1.0692  #CE1141      -  \n",
       "28             3.7841              0.8735  #41B6E6      -  \n",
       "2              4.0986              0.8234  #552583      -  \n",
       "39             5.2105              0.7669  #007A33      -  \n",
       "73             3.0680             -1.1982  #B4975A      -  \n",
       "36             7.1799             -1.2054  #CE1141     --  \n",
       "85             4.5140             -3.1922  #CE1141      :  \n",
       "\n",
       "[9 rows x 38 columns]"
      ]
     },
     "execution_count": 258,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bottom_top"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, -5, 'Source: stats.nba.com')"
      ]
     },
     "execution_count": 302,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 12))\n",
    "\n",
    "for index in range(len(others)):\n",
    "    item = others.iloc[index]\n",
    "    labels, data = get_non_na_diffs(item)\n",
    "    ax.plot(labels, data, color=bball_white, lw=1, alpha=0.5)\n",
    "    \n",
    "for index in range(len(bottom_top)):\n",
    "    item = bottom_top.iloc[index]\n",
    "    labels, data = get_non_na_diffs(item)\n",
    "    if item.STYLE == '-':\n",
    "        ax.plot(labels, data, color=bball_white, ls=item.STYLE, lw=5.2)\n",
    "    ax.plot(labels, data, color=item.COLOR, ls=item.STYLE, lw=5, label=f\"{item.PLAYER_NAME}: {item.UAST_DIFF_PLAYOFFS:.1f}\")\n",
    "\n",
    "\n",
    "ax.grid(False, axis='x')\n",
    "ax.grid(True, axis='y', alpha=0.3)\n",
    "ax.set_facecolor(bball_gray)\n",
    "fig.set_facecolor(bball_gray)\n",
    "ax.set_frame_on(False)\n",
    "\n",
    "# Legend\n",
    "legend = ax.legend(loc='upper left', bbox_to_anchor=(1, 0.9))\n",
    "frame = legend.get_frame()\n",
    "frame.set_facecolor(bball_gray)\n",
    "frame.set_linewidth(2)\n",
    "frame.set_edgecolor(bball_light_orange)\n",
    "for text in legend.get_texts():\n",
    "    text.set_color(bball_light_orange)\n",
    "    \n",
    "ticks = ax.get_xticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_light_orange)\n",
    "ticks = ax.get_yticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_white)\n",
    "    tick.set_size(14)\n",
    "    \n",
    "ax.set_xticks(range(3))\n",
    "ax.set_xticklabels(['Regular Season', 'First Round', 'Second Round'], size=16)\n",
    "ax.set_title(\"Biggest Change in Unassisted FGM Per Game in Comparison to Regular Season\", color=bball_orange, size=24)\n",
    "ax.text(x=2.1, y=4.4, s='- Number in legend shows change\\n in UAST FGM for Playoffs Overall', ha='left', color=bball_light_orange)\n",
    "ax.text(x=2.1, y=1.1, s='- Lines Show Change\\nin Comparison to Regular Season', ha='left', color=bball_light_orange)\n",
    "ax.text(x=2.1, y=0.6, s='- Considering Players with >10 FGA in \\nboth Playoffs and Regular Season', ha='left', color=bball_light_orange)\n",
    "\n",
    "ax.text(x=2.05, y=-5, s='Twitter: @daniel_bratulic', ha='right', color=bball_white, size=12)\n",
    "ax.text(x=0, y=-5, s='Source: stats.nba.com', ha='left', color=bball_white, size=12)\n",
    "#ax.hlines(y=0, xmin=0, xmax=2, lw=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}