Scripts/2020_21_season/christmas_results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nba_api.stats.endpoints.leaguegamelog import LeagueGameLog\n",
    "import time\n",
    "import tqdm\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "game_log = LeagueGameLog(season='2019-20', player_or_team_abbreviation='P', date_from_nullable='2019-12-25', date_to_nullable='2019-12-25')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "game_log_df = game_log.get_data_frames()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>SEASON_ID</th>\n",
       "      <th>PLAYER_ID</th>\n",
       "      <th>PLAYER_NAME</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_ABBREVIATION</th>\n",
       "      <th>TEAM_NAME</th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>GAME_DATE</th>\n",
       "      <th>MATCHUP</th>\n",
       "      <th>WL</th>\n",
       "      <th>MIN</th>\n",
       "      <th>FGM</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG_PCT</th>\n",
       "      <th>FG3M</th>\n",
       "      <th>FG3A</th>\n",
       "      <th>FG3_PCT</th>\n",
       "      <th>FTM</th>\n",
       "      <th>FTA</th>\n",
       "      <th>FT_PCT</th>\n",
       "      <th>OREB</th>\n",
       "      <th>DREB</th>\n",
       "      <th>REB</th>\n",
       "      <th>AST</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>TOV</th>\n",
       "      <th>PF</th>\n",
       "      <th>PTS</th>\n",
       "      <th>PLUS_MINUS</th>\n",
       "      <th>VIDEO_AVAILABLE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>22019</td>\n",
       "      <td>202695</td>\n",
       "      <td>Kawhi Leonard</td>\n",
       "      <td>1610612746</td>\n",
       "      <td>LAC</td>\n",
       "      <td>LA Clippers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAC @ LAL</td>\n",
       "      <td>W</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>0.579</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>0.714</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>1.000</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>35</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22019</td>\n",
       "      <td>203954</td>\n",
       "      <td>Joel Embiid</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>Philadelphia 76ers</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>PHI vs. MIL</td>\n",
       "      <td>W</td>\n",
       "      <td>28</td>\n",
       "      <td>11</td>\n",
       "      <td>21</td>\n",
       "      <td>0.524</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0.500</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>31</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>22019</td>\n",
       "      <td>1627742</td>\n",
       "      <td>Brandon Ingram</td>\n",
       "      <td>1610612740</td>\n",
       "      <td>NOP</td>\n",
       "      <td>New Orleans Pelicans</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>NOP @ DEN</td>\n",
       "      <td>W</td>\n",
       "      <td>36</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>0.611</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>0.778</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>22019</td>\n",
       "      <td>203114</td>\n",
       "      <td>Khris Middleton</td>\n",
       "      <td>1610612749</td>\n",
       "      <td>MIL</td>\n",
       "      <td>Milwaukee Bucks</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>MIL @ PHI</td>\n",
       "      <td>L</td>\n",
       "      <td>33</td>\n",
       "      <td>12</td>\n",
       "      <td>21</td>\n",
       "      <td>0.571</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>0.556</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1.000</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>31</td>\n",
       "      <td>-7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>22019</td>\n",
       "      <td>201566</td>\n",
       "      <td>Russell Westbrook</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>0021900457</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>HOU @ GSW</td>\n",
       "      <td>L</td>\n",
       "      <td>40</td>\n",
       "      <td>11</td>\n",
       "      <td>32</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0.000</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>1.000</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>30</td>\n",
       "      <td>-9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>22019</td>\n",
       "      <td>1627759</td>\n",
       "      <td>Jaylen Brown</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>BOS @ TOR</td>\n",
       "      <td>W</td>\n",
       "      <td>35</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>0.769</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>0.714</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>22019</td>\n",
       "      <td>1627832</td>\n",
       "      <td>Fred VanVleet</td>\n",
       "      <td>1610612761</td>\n",
       "      <td>TOR</td>\n",
       "      <td>Toronto Raptors</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>TOR vs. BOS</td>\n",
       "      <td>L</td>\n",
       "      <td>37</td>\n",
       "      <td>11</td>\n",
       "      <td>21</td>\n",
       "      <td>0.524</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0.400</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>-17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>22019</td>\n",
       "      <td>1628398</td>\n",
       "      <td>Kyle Kuzma</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAL vs. LAC</td>\n",
       "      <td>L</td>\n",
       "      <td>27</td>\n",
       "      <td>8</td>\n",
       "      <td>17</td>\n",
       "      <td>0.471</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>0.444</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>0.833</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>22019</td>\n",
       "      <td>201935</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>0021900457</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>HOU @ GSW</td>\n",
       "      <td>L</td>\n",
       "      <td>38</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>0.500</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>-18</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>22019</td>\n",
       "      <td>203076</td>\n",
       "      <td>Anthony Davis</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAL vs. LAC</td>\n",
       "      <td>L</td>\n",
       "      <td>39</td>\n",
       "      <td>8</td>\n",
       "      <td>17</td>\n",
       "      <td>0.471</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0.167</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>0.875</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>-10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>22019</td>\n",
       "      <td>1628449</td>\n",
       "      <td>Chris Boucher</td>\n",
       "      <td>1610612761</td>\n",
       "      <td>TOR</td>\n",
       "      <td>Toronto Raptors</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>TOR vs. BOS</td>\n",
       "      <td>L</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>0.700</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0.750</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>0.875</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>-5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>22019</td>\n",
       "      <td>203999</td>\n",
       "      <td>Nikola Jokic</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>Denver Nuggets</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>DEN vs. NOP</td>\n",
       "      <td>L</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>20</td>\n",
       "      <td>0.400</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0.400</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>0.833</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>-13</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>22019</td>\n",
       "      <td>2544</td>\n",
       "      <td>LeBron James</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAL vs. LAC</td>\n",
       "      <td>L</td>\n",
       "      <td>39</td>\n",
       "      <td>9</td>\n",
       "      <td>24</td>\n",
       "      <td>0.375</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>0.167</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0.750</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22019</td>\n",
       "      <td>1627814</td>\n",
       "      <td>Damion Lee</td>\n",
       "      <td>1610612744</td>\n",
       "      <td>GSW</td>\n",
       "      <td>Golden State Warriors</td>\n",
       "      <td>0021900457</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>GSW vs. HOU</td>\n",
       "      <td>W</td>\n",
       "      <td>31</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>0.556</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1.000</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>22019</td>\n",
       "      <td>202699</td>\n",
       "      <td>Tobias Harris</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>Philadelphia 76ers</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>PHI vs. MIL</td>\n",
       "      <td>W</td>\n",
       "      <td>35</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>0.500</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>0.714</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>22019</td>\n",
       "      <td>202689</td>\n",
       "      <td>Kemba Walker</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>BOS @ TOR</td>\n",
       "      <td>W</td>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>0.500</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>22019</td>\n",
       "      <td>203110</td>\n",
       "      <td>Draymond Green</td>\n",
       "      <td>1610612744</td>\n",
       "      <td>GSW</td>\n",
       "      <td>Golden State Warriors</td>\n",
       "      <td>0021900457</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>GSW vs. HOU</td>\n",
       "      <td>W</td>\n",
       "      <td>34</td>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "      <td>0.571</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0.500</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0.667</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>22019</td>\n",
       "      <td>201950</td>\n",
       "      <td>Jrue Holiday</td>\n",
       "      <td>1610612740</td>\n",
       "      <td>NOP</td>\n",
       "      <td>New Orleans Pelicans</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>NOP @ DEN</td>\n",
       "      <td>W</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>18</td>\n",
       "      <td>0.444</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0.143</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>22019</td>\n",
       "      <td>1626156</td>\n",
       "      <td>D'Angelo Russell</td>\n",
       "      <td>1610612744</td>\n",
       "      <td>GSW</td>\n",
       "      <td>Golden State Warriors</td>\n",
       "      <td>0021900457</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>GSW vs. HOU</td>\n",
       "      <td>W</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>0.421</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>0.100</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0.750</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>-4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>22019</td>\n",
       "      <td>1627863</td>\n",
       "      <td>Danuel House Jr.</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>0021900457</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>HOU @ GSW</td>\n",
       "      <td>L</td>\n",
       "      <td>35</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>0.333</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>0.417</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0.750</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>-12</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>22019</td>\n",
       "      <td>1626149</td>\n",
       "      <td>Montrezl Harrell</td>\n",
       "      <td>1610612746</td>\n",
       "      <td>LAC</td>\n",
       "      <td>LA Clippers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAC @ LAL</td>\n",
       "      <td>W</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1.000</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>22019</td>\n",
       "      <td>203922</td>\n",
       "      <td>Glenn Robinson III</td>\n",
       "      <td>1610612744</td>\n",
       "      <td>GSW</td>\n",
       "      <td>Golden State Warriors</td>\n",
       "      <td>0021900457</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>GSW vs. HOU</td>\n",
       "      <td>W</td>\n",
       "      <td>37</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>0.462</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1.000</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>22019</td>\n",
       "      <td>203507</td>\n",
       "      <td>Giannis Antetokounmpo</td>\n",
       "      <td>1610612749</td>\n",
       "      <td>MIL</td>\n",
       "      <td>Milwaukee Bucks</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>MIL @ PHI</td>\n",
       "      <td>L</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>27</td>\n",
       "      <td>0.296</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0.500</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>-18</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>22019</td>\n",
       "      <td>1626196</td>\n",
       "      <td>Josh Richardson</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>Philadelphia 76ers</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>PHI vs. MIL</td>\n",
       "      <td>W</td>\n",
       "      <td>37</td>\n",
       "      <td>7</td>\n",
       "      <td>20</td>\n",
       "      <td>0.350</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>0.364</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>22019</td>\n",
       "      <td>202331</td>\n",
       "      <td>Paul George</td>\n",
       "      <td>1610612746</td>\n",
       "      <td>LAC</td>\n",
       "      <td>LA Clippers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAC @ LAL</td>\n",
       "      <td>W</td>\n",
       "      <td>37</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>0.278</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0.167</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "      <td>-8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>22019</td>\n",
       "      <td>203924</td>\n",
       "      <td>Jerami Grant</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>Denver Nuggets</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>DEN vs. NOP</td>\n",
       "      <td>L</td>\n",
       "      <td>29</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>0.600</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0.667</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0.750</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>-14</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>22019</td>\n",
       "      <td>1627788</td>\n",
       "      <td>Furkan Korkmaz</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>Philadelphia 76ers</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>PHI vs. MIL</td>\n",
       "      <td>W</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>0.500</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0.800</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>22019</td>\n",
       "      <td>1628404</td>\n",
       "      <td>Josh Hart</td>\n",
       "      <td>1610612740</td>\n",
       "      <td>NOP</td>\n",
       "      <td>New Orleans Pelicans</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>NOP @ DEN</td>\n",
       "      <td>W</td>\n",
       "      <td>30</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>0.500</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0.800</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>22019</td>\n",
       "      <td>1627732</td>\n",
       "      <td>Ben Simmons</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>Philadelphia 76ers</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>PHI vs. MIL</td>\n",
       "      <td>W</td>\n",
       "      <td>38</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>22019</td>\n",
       "      <td>200755</td>\n",
       "      <td>JJ Redick</td>\n",
       "      <td>1610612740</td>\n",
       "      <td>NOP</td>\n",
       "      <td>New Orleans Pelicans</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>NOP @ DEN</td>\n",
       "      <td>W</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>0.500</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>0.286</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>1</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",
       "      <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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>22019</td>\n",
       "      <td>203210</td>\n",
       "      <td>JaMychal Green</td>\n",
       "      <td>1610612746</td>\n",
       "      <td>LAC</td>\n",
       "      <td>LA Clippers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAC @ LAL</td>\n",
       "      <td>W</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0.250</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>22019</td>\n",
       "      <td>1629109</td>\n",
       "      <td>Gary Clark</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>0021900457</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>HOU @ GSW</td>\n",
       "      <td>L</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.333</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>22019</td>\n",
       "      <td>2594</td>\n",
       "      <td>Kyle Korver</td>\n",
       "      <td>1610612749</td>\n",
       "      <td>MIL</td>\n",
       "      <td>Milwaukee Bucks</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>MIL @ PHI</td>\n",
       "      <td>L</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0.250</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22019</td>\n",
       "      <td>203504</td>\n",
       "      <td>Trey Burke</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>Philadelphia 76ers</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>PHI vs. MIL</td>\n",
       "      <td>W</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.333</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22019</td>\n",
       "      <td>203118</td>\n",
       "      <td>Mike Scott</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>Philadelphia 76ers</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>PHI vs. MIL</td>\n",
       "      <td>W</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.333</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>22019</td>\n",
       "      <td>1629682</td>\n",
       "      <td>Tremont Waters</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>BOS @ TOR</td>\n",
       "      <td>W</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>-6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>22019</td>\n",
       "      <td>1627775</td>\n",
       "      <td>Patrick McCaw</td>\n",
       "      <td>1610612761</td>\n",
       "      <td>TOR</td>\n",
       "      <td>Toronto Raptors</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>TOR vs. BOS</td>\n",
       "      <td>L</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-22</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>22019</td>\n",
       "      <td>1629750</td>\n",
       "      <td>Javonte Green</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>BOS @ TOR</td>\n",
       "      <td>W</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>-6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>22019</td>\n",
       "      <td>2730</td>\n",
       "      <td>Dwight Howard</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAL vs. LAC</td>\n",
       "      <td>L</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>22019</td>\n",
       "      <td>1629641</td>\n",
       "      <td>Romeo Langford</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>BOS @ TOR</td>\n",
       "      <td>W</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>22019</td>\n",
       "      <td>201580</td>\n",
       "      <td>JaVale McGee</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAL vs. LAC</td>\n",
       "      <td>L</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>22019</td>\n",
       "      <td>203516</td>\n",
       "      <td>James Ennis III</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>Philadelphia 76ers</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>PHI vs. MIL</td>\n",
       "      <td>W</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0.167</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>-4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>22019</td>\n",
       "      <td>201577</td>\n",
       "      <td>Robin Lopez</td>\n",
       "      <td>1610612749</td>\n",
       "      <td>MIL</td>\n",
       "      <td>Milwaukee Bucks</td>\n",
       "      <td>0021900456</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>MIL @ PHI</td>\n",
       "      <td>L</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-12</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>22019</td>\n",
       "      <td>1627936</td>\n",
       "      <td>Alex Caruso</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAL vs. LAC</td>\n",
       "      <td>L</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>-5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>22019</td>\n",
       "      <td>202340</td>\n",
       "      <td>Avery Bradley</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAL vs. LAC</td>\n",
       "      <td>L</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>22019</td>\n",
       "      <td>203090</td>\n",
       "      <td>Maurice Harkless</td>\n",
       "      <td>1610612746</td>\n",
       "      <td>LAC</td>\n",
       "      <td>LA Clippers</td>\n",
       "      <td>0021900458</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>LAC @ LAL</td>\n",
       "      <td>W</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>22019</td>\n",
       "      <td>1629637</td>\n",
       "      <td>Jaxson Hayes</td>\n",
       "      <td>1610612740</td>\n",
       "      <td>NOP</td>\n",
       "      <td>New Orleans Pelicans</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>NOP @ DEN</td>\n",
       "      <td>W</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>22019</td>\n",
       "      <td>1628427</td>\n",
       "      <td>Vlatko Cancar</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>Denver Nuggets</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>DEN vs. NOP</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>22019</td>\n",
       "      <td>1628400</td>\n",
       "      <td>Semi Ojeleye</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>BOS @ TOR</td>\n",
       "      <td>W</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-12</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>22019</td>\n",
       "      <td>1627823</td>\n",
       "      <td>Juancho Hernangomez</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>Denver Nuggets</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>DEN vs. NOP</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>22019</td>\n",
       "      <td>1626143</td>\n",
       "      <td>Jahlil Okafor</td>\n",
       "      <td>1610612740</td>\n",
       "      <td>NOP</td>\n",
       "      <td>New Orleans Pelicans</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>NOP @ DEN</td>\n",
       "      <td>W</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>22019</td>\n",
       "      <td>1626259</td>\n",
       "      <td>Malcolm Miller</td>\n",
       "      <td>1610612761</td>\n",
       "      <td>TOR</td>\n",
       "      <td>Toronto Raptors</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>TOR vs. BOS</td>\n",
       "      <td>L</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>22019</td>\n",
       "      <td>200794</td>\n",
       "      <td>Paul Millsap</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>Denver Nuggets</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>DEN vs. NOP</td>\n",
       "      <td>L</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>22019</td>\n",
       "      <td>1629035</td>\n",
       "      <td>Carsen Edwards</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>BOS @ TOR</td>\n",
       "      <td>W</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>22019</td>\n",
       "      <td>2199</td>\n",
       "      <td>Tyson Chandler</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>0021900457</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>HOU @ GSW</td>\n",
       "      <td>L</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>22019</td>\n",
       "      <td>1629016</td>\n",
       "      <td>Omari Spellman</td>\n",
       "      <td>1610612744</td>\n",
       "      <td>GSW</td>\n",
       "      <td>Golden State Warriors</td>\n",
       "      <td>0021900457</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>GSW vs. HOU</td>\n",
       "      <td>W</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>22019</td>\n",
       "      <td>1629672</td>\n",
       "      <td>Eric Paschall</td>\n",
       "      <td>1610612744</td>\n",
       "      <td>GSW</td>\n",
       "      <td>Golden State Warriors</td>\n",
       "      <td>0021900457</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>GSW vs. HOU</td>\n",
       "      <td>W</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>-9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>22019</td>\n",
       "      <td>1629026</td>\n",
       "      <td>Kenrich Williams</td>\n",
       "      <td>1610612740</td>\n",
       "      <td>NOP</td>\n",
       "      <td>New Orleans Pelicans</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>NOP @ DEN</td>\n",
       "      <td>W</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>22019</td>\n",
       "      <td>1628402</td>\n",
       "      <td>Frank Jackson</td>\n",
       "      <td>1610612740</td>\n",
       "      <td>NOP</td>\n",
       "      <td>New Orleans Pelicans</td>\n",
       "      <td>0021900459</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>NOP @ DEN</td>\n",
       "      <td>W</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>22019</td>\n",
       "      <td>1629052</td>\n",
       "      <td>Oshae Brissett</td>\n",
       "      <td>1610612761</td>\n",
       "      <td>TOR</td>\n",
       "      <td>Toronto Raptors</td>\n",
       "      <td>0021900455</td>\n",
       "      <td>2019-12-25</td>\n",
       "      <td>TOR vs. BOS</td>\n",
       "      <td>L</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>107 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    SEASON_ID  PLAYER_ID        PLAYER_NAME     TEAM_ID TEAM_ABBREVIATION              TEAM_NAME     GAME_ID   GAME_DATE      MATCHUP WL  MIN  FGM  FGA  FG_PCT  FG3M  ...  FG3_PCT  FTM  FTA  FT_PCT  OREB  DREB  REB  AST  STL  BLK  TOV  PF  PTS  PLUS_MINUS  VIDEO_AVAILABLE\n",
       "56      22019     202695      Kawhi Leonard  1610612746               LAC            LA Clippers  0021900458  2019-12-25    LAC @ LAL  W   38   11   19   0.579     5  ...    0.714    8    8     1.0     3     9   12    5    1    0    3   4   35          13                1\n",
       "2       22019     203954        Joel Embiid  1610612755               PHI     Philadelphia 76ers  0021900456  2019-12-25  PHI vs. MIL  W   28   11   21   0.524     3  ...    0.500    6    6     1.0     2     9   11    3    0    2    1   5   31          15                1\n",
       "78      22019    1627742     Brandon Ingram  1610612740               NOP   New Orleans Pelicans  0021900459  2019-12-25    NOP @ DEN  W   36   11   18   0.611     7  ...    0.778    2    2     1.0     1     6    7    2    2    1    2   0   31          11                1\n",
       "15      22019     203114    Khris Middleton  1610612749               MIL        Milwaukee Bucks  0021900456  2019-12-25    MIL @ PHI  L   33   12   21   0.571     5  ...    0.556    2    2     1.0     3     5    8    4    1    0    1   3   31          -7                1\n",
       "20      22019     201566  Russell Westbrook  1610612745               HOU        Houston Rockets  0021900457  2019-12-25    HOU @ GSW  L   40   11   32   0.344     0  ...    0.000    8    8     1.0     4     8   12    5    0    0    4   5   30          -9                1\n",
       "..        ...        ...                ...         ...               ...                    ...         ...         ...          ... ..  ...  ...  ...     ...   ...  ...      ...  ...  ...     ...   ...   ...  ...  ...  ...  ...  ...  ..  ...         ...              ...\n",
       "34      22019    1629016     Omari Spellman  1610612744               GSW  Golden State Warriors  0021900457  2019-12-25  GSW vs. HOU  W    2    0    0     NaN     0  ...      NaN    0    0     NaN     0     0    0    0    0    0    0   0    0          -4                1\n",
       "25      22019    1629672      Eric Paschall  1610612744               GSW  Golden State Warriors  0021900457  2019-12-25  GSW vs. HOU  W    7    0    1   0.000     0  ...      NaN    0    0     NaN     3     0    3    2    0    0    1   2    0          -9                1\n",
       "75      22019    1629026   Kenrich Williams  1610612740               NOP   New Orleans Pelicans  0021900459  2019-12-25    NOP @ DEN  W   10    0    1   0.000     0  ...    0.000    0    0     NaN     0     2    2    1    0    0    0   1    0          -6                1\n",
       "77      22019    1628402      Frank Jackson  1610612740               NOP   New Orleans Pelicans  0021900459  2019-12-25    NOP @ DEN  W    6    0    1   0.000     0  ...    0.000    0    0     NaN     0     0    0    0    0    0    0   1    0           2                1\n",
       "106     22019    1629052     Oshae Brissett  1610612761               TOR        Toronto Raptors  0021900455  2019-12-25  TOR vs. BOS  L    3    0    0     NaN     0  ...      NaN    0    0     NaN     0     0    0    0    0    1    0   0    0           6                1\n",
       "\n",
       "[107 rows x 31 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "game_log_df.sort_values(by='PTS', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# write a function for each season, then groupby player points/minutes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "seasons = [f\"{item}-{str(item+1)[-2:]}\" for item in range(1946, 2020)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 74/74 [01:04<00:00,  1.14it/s]\n"
     ]
    }
   ],
   "source": [
    "all_data = []\n",
    "for season in tqdm.tqdm(seasons):\n",
    "    start_year = season.split('-')[0]\n",
    "    game_log = LeagueGameLog(season=season, player_or_team_abbreviation='P', date_from_nullable=f'{start_year}-12-25', date_to_nullable=f'{start_year}-12-25')\n",
    "    df = game_log.get_data_frames()[0]\n",
    "    all_data.append(df)\n",
    "    time.sleep(0.4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "full_df = pd.concat(all_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_christmas_points = full_df.groupby('PLAYER_NAME').PTS.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "full_df = full_df.fillna(0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_games = full_df.PLAYER_NAME.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>TEAM_ID</th>\n",
       "      <th>MIN</th>\n",
       "      <th>FGM</th>\n",
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       "      <th>FG_PCT</th>\n",
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       "      <th>FTM</th>\n",
       "      <th>FTA</th>\n",
       "      <th>FT_PCT</th>\n",
       "      <th>OREB</th>\n",
       "      <th>DREB</th>\n",
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       "      <th>AST</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>TOV</th>\n",
       "      <th>PF</th>\n",
       "      <th>PTS</th>\n",
       "      <th>PLUS_MINUS</th>\n",
       "      <th>VIDEO_AVAILABLE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLAYER_NAME</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A.C. Green</th>\n",
       "      <td>5520</td>\n",
       "      <td>9663676509</td>\n",
       "      <td>193</td>\n",
       "      <td>27</td>\n",
       "      <td>51.0</td>\n",
       "      <td>3.149</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.500</td>\n",
       "      <td>11</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.292</td>\n",
       "      <td>18.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>66</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>Aaron Brooks</th>\n",
       "      <td>603498</td>\n",
       "      <td>4831838227</td>\n",
       "      <td>52</td>\n",
       "      <td>10</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.362</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.167</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>25</td>\n",
       "      <td>18.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aaron James</th>\n",
       "      <td>154230</td>\n",
       "      <td>3221225524</td>\n",
       "      <td>22</td>\n",
       "      <td>6</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>12</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aaron McKie</th>\n",
       "      <td>243</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>29</td>\n",
       "      <td>4</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aaron Williams</th>\n",
       "      <td>1425</td>\n",
       "      <td>1610612751</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abdel Nader</th>\n",
       "      <td>1627846</td>\n",
       "      <td>1610612760</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abdul Jeelani</th>\n",
       "      <td>77126</td>\n",
       "      <td>1610612757</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.750</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acie Law</th>\n",
       "      <td>201151</td>\n",
       "      <td>1610612744</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adam Keefe</th>\n",
       "      <td>228</td>\n",
       "      <td>1610612762</td>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.833</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adreian Payne</th>\n",
       "      <td>203940</td>\n",
       "      <td>1610612750</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adrian Dantley</th>\n",
       "      <td>229512</td>\n",
       "      <td>4831838255</td>\n",
       "      <td>74</td>\n",
       "      <td>25</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.188</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>19</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.833</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>69</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adrian Smith</th>\n",
       "      <td>625424</td>\n",
       "      <td>12884902064</td>\n",
       "      <td>109</td>\n",
       "      <td>26</td>\n",
       "      <td>70.0</td>\n",
       "      <td>2.443</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>19</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.691</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>71</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Bianchi</th>\n",
       "      <td>380800</td>\n",
       "      <td>8053063775</td>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.750</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>13</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.625</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>59</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Butler</th>\n",
       "      <td>228957</td>\n",
       "      <td>4831838256</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Cervi</th>\n",
       "      <td>305492</td>\n",
       "      <td>6442451020</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>18</td>\n",
       "      <td>22.0</td>\n",
       "      <td>3.167</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>34</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Eberhard</th>\n",
       "      <td>76634</td>\n",
       "      <td>1610612765</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Ferrari</th>\n",
       "      <td>153416</td>\n",
       "      <td>3221225474</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.143</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Guokas</th>\n",
       "      <td>76907</td>\n",
       "      <td>1610610027</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Hairston</th>\n",
       "      <td>76915</td>\n",
       "      <td>1610612760</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Harrington</th>\n",
       "      <td>6932</td>\n",
       "      <td>6442451003</td>\n",
       "      <td>84</td>\n",
       "      <td>9</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1.100</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.750</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.667</td>\n",
       "      <td>4.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Horford</th>\n",
       "      <td>804572</td>\n",
       "      <td>6442450969</td>\n",
       "      <td>132</td>\n",
       "      <td>17</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.488</td>\n",
       "      <td>6.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.762</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>42</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Masino</th>\n",
       "      <td>77482</td>\n",
       "      <td>1610612737</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al McGuire</th>\n",
       "      <td>155072</td>\n",
       "      <td>3221225504</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Thornton</th>\n",
       "      <td>201154</td>\n",
       "      <td>1610612746</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8</td>\n",
       "      <td>-25.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al Tucker</th>\n",
       "      <td>235116</td>\n",
       "      <td>4831838284</td>\n",
       "      <td>39</td>\n",
       "      <td>11</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.779</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>26</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Al-Farouq Aminu</th>\n",
       "      <td>202329</td>\n",
       "      <td>1610612757</td>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.500</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.750</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alan Anderson</th>\n",
       "      <td>101187</td>\n",
       "      <td>1610612751</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alan Sawyer</th>\n",
       "      <td>78067</td>\n",
       "      <td>1610610036</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albert King</th>\n",
       "      <td>309052</td>\n",
       "      <td>6442451008</td>\n",
       "      <td>99</td>\n",
       "      <td>22</td>\n",
       "      <td>47.0</td>\n",
       "      <td>2.058</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>45</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alec Burks</th>\n",
       "      <td>202692</td>\n",
       "      <td>1610612744</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.222</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.200</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.750</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>1</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",
       "      <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>William Bedford</th>\n",
       "      <td>228414</td>\n",
       "      <td>4831838289</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>William Towery</th>\n",
       "      <td>78363</td>\n",
       "      <td>1610610024</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willie Cauley-Stein</th>\n",
       "      <td>1626161</td>\n",
       "      <td>1610612744</td>\n",
       "      <td>31</td>\n",
       "      <td>5</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.714</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willie Green</th>\n",
       "      <td>5168</td>\n",
       "      <td>3221225492</td>\n",
       "      <td>29</td>\n",
       "      <td>5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.167</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.250</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willie Jones</th>\n",
       "      <td>154404</td>\n",
       "      <td>3221225530</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willie McCarter</th>\n",
       "      <td>155010</td>\n",
       "      <td>3221225504</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.750</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willie Naulls</th>\n",
       "      <td>699237</td>\n",
       "      <td>14495514732</td>\n",
       "      <td>87</td>\n",
       "      <td>58</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1.044</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>31</td>\n",
       "      <td>41.0</td>\n",
       "      <td>5.335</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>147</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willie Norwood</th>\n",
       "      <td>233199</td>\n",
       "      <td>4831838290</td>\n",
       "      <td>53</td>\n",
       "      <td>14</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.900</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.500</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willis Reed</th>\n",
       "      <td>623432</td>\n",
       "      <td>12884902016</td>\n",
       "      <td>223</td>\n",
       "      <td>72</td>\n",
       "      <td>93.0</td>\n",
       "      <td>3.274</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>30</td>\n",
       "      <td>38.0</td>\n",
       "      <td>4.691</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>174</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willy Hernangomez</th>\n",
       "      <td>1626195</td>\n",
       "      <td>1610612752</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilmer Hosket</th>\n",
       "      <td>77061</td>\n",
       "      <td>1610612752</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilson Chandler</th>\n",
       "      <td>603489</td>\n",
       "      <td>4831838259</td>\n",
       "      <td>108</td>\n",
       "      <td>17</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1.429</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>45</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilson Washington</th>\n",
       "      <td>78471</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilt Chamberlain</th>\n",
       "      <td>458250</td>\n",
       "      <td>9663676481</td>\n",
       "      <td>280</td>\n",
       "      <td>72</td>\n",
       "      <td>130.0</td>\n",
       "      <td>3.604</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>46</td>\n",
       "      <td>94.0</td>\n",
       "      <td>2.667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>190</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Win Wilfong</th>\n",
       "      <td>235587</td>\n",
       "      <td>4831838253</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Winford Boynes</th>\n",
       "      <td>76225</td>\n",
       "      <td>1610612751</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Winston Bennett</th>\n",
       "      <td>76152</td>\n",
       "      <td>1610612739</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.714</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Woody Sauldsberry</th>\n",
       "      <td>156128</td>\n",
       "      <td>3221225488</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>World Free</th>\n",
       "      <td>460518</td>\n",
       "      <td>9663676494</td>\n",
       "      <td>199</td>\n",
       "      <td>41</td>\n",
       "      <td>105.0</td>\n",
       "      <td>2.052</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>38</td>\n",
       "      <td>52.0</td>\n",
       "      <td>3.816</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>120</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wyndol Gray</th>\n",
       "      <td>76863</td>\n",
       "      <td>1610610034</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Xavier Henry</th>\n",
       "      <td>202333</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.571</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>14</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yao Ming</th>\n",
       "      <td>2397</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.571</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>18</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>York Larese</th>\n",
       "      <td>77339</td>\n",
       "      <td>1610612744</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zach Collins</th>\n",
       "      <td>1628380</td>\n",
       "      <td>1610612757</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zach LaVine</th>\n",
       "      <td>203897</td>\n",
       "      <td>1610612750</td>\n",
       "      <td>31</td>\n",
       "      <td>5</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.455</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.600</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>16</td>\n",
       "      <td>-21.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zaid Abdul-Aziz</th>\n",
       "      <td>228006</td>\n",
       "      <td>4831838264</td>\n",
       "      <td>58</td>\n",
       "      <td>9</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.250</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zan Tabak</th>\n",
       "      <td>440</td>\n",
       "      <td>1610612754</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zaza Pachulia</th>\n",
       "      <td>5170</td>\n",
       "      <td>3221225497</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.167</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zelmo Beaty</th>\n",
       "      <td>228399</td>\n",
       "      <td>4831838211</td>\n",
       "      <td>79</td>\n",
       "      <td>16</td>\n",
       "      <td>37.0</td>\n",
       "      <td>1.273</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zydrunas Ilgauskas</th>\n",
       "      <td>4900</td>\n",
       "      <td>8053063704</td>\n",
       "      <td>139</td>\n",
       "      <td>13</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1.884</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.333</td>\n",
       "      <td>6.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>37</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1933 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    PLAYER_ID     TEAM_ID  MIN  FGM   FGA  FG_PCT  FG3M  FG3A  FG3_PCT  FTM   FTA  FT_PCT  OREB  DREB   REB  AST  STL  BLK  TOV    PF  PTS  PLUS_MINUS  VIDEO_AVAILABLE\n",
       "PLAYER_NAME                                                                                                                                                                            \n",
       "A.C. Green               5520  9663676509  193   27  51.0   3.149   1.0   3.0    0.500   11  16.0   2.292  18.0  37.0  55.0  7.0  5.0  2.0  2.0  13.0   66        -9.0                0\n",
       "Aaron Brooks           603498  4831838227   52   10  22.0   1.362   5.0   7.0    2.167    0   0.0   0.000   1.0   6.0   7.0  7.0  0.0  1.0  3.0   6.0   25        18.0                3\n",
       "Aaron James            154230  3221225524   22    6  11.0   1.100   0.0   0.0    0.000    0   3.0   0.000   0.0   0.0   7.0  3.0  2.0  0.0  0.0   7.0   12         0.0                0\n",
       "Aaron McKie               243  1610612755   29    4  13.0   0.308   0.0   1.0    0.000    0   0.0   0.000   0.0   4.0   4.0  0.0  1.0  0.0  2.0   2.0    8        -1.0                0\n",
       "Aaron Williams           1425  1610612751   17    4   4.0   1.000   0.0   0.0    0.000    1   1.0   1.000   0.0   3.0   3.0  1.0  0.0  0.0  1.0   4.0    9         6.0                0\n",
       "...                       ...         ...  ...  ...   ...     ...   ...   ...      ...  ...   ...     ...   ...   ...   ...  ...  ...  ...  ...   ...  ...         ...              ...\n",
       "Zaid Abdul-Aziz        228006  4831838264   58    9  21.0   1.000   0.0   0.0    0.000    2   5.0   1.250   0.0   0.0  16.0  2.0  0.0  0.0  0.0   4.0   20         0.0                0\n",
       "Zan Tabak                 440  1610612754    4    0   0.0   0.000   0.0   0.0    0.000    0   0.0   0.000   0.0   0.0   0.0  0.0  0.0  1.0  0.0   1.0    0        -1.0                0\n",
       "Zaza Pachulia            5170  3221225497   19    3   5.0   1.167   0.0   0.0    0.000    0   0.0   0.000   1.0   4.0   5.0  1.0  0.0  0.0  3.0   4.0    6         6.0                1\n",
       "Zelmo Beaty            228399  4831838211   79   16  37.0   1.273   0.0   0.0    0.000   16  18.0   1.818   0.0   0.0  31.0  3.0  0.0  0.0  0.0  15.0   48         0.0                0\n",
       "Zydrunas Ilgauskas       4900  8053063704  139   13  34.0   1.884   0.0   2.0    0.000   11  14.0   2.333   6.0  25.0  31.0  5.0  2.0  8.0  8.0  16.0   37        32.0                0\n",
       "\n",
       "[1933 rows x 23 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_df.groupby('PLAYER_NAME').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_players = total_christmas_points.sort_values(ascending=False).iloc[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\importlib\\_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
      "  return f(*args, **kwds)\n",
      "c:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\importlib\\_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
      "  return f(*args, **kwds)\n",
      "c:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\importlib\\_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
      "  return f(*args, **kwds)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_players = top_players.sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PLAYER_NAME</th>\n",
       "      <th>PTS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dick Barnett</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Wilt Chamberlain</td>\n",
       "      <td>190</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bill Sharman</td>\n",
       "      <td>190</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hal Greer</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jerry West</td>\n",
       "      <td>193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Walt Frazier</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Earl Monroe</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>James Harden</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Bob Cousy</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Dick Van Arsdale</td>\n",
       "      <td>232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Richie Guerin</td>\n",
       "      <td>232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Walt Bellamy</td>\n",
       "      <td>237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Dolph Schayes</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Russell Westbrook</td>\n",
       "      <td>241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Kevin Durant</td>\n",
       "      <td>270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shaquille O'Neal</td>\n",
       "      <td>272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Dwyane Wade</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>LeBron James</td>\n",
       "      <td>361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Oscar Robertson</td>\n",
       "      <td>377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Kobe Bryant</td>\n",
       "      <td>395</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PLAYER_NAME  PTS\n",
       "0        Dick Barnett  187\n",
       "1    Wilt Chamberlain  190\n",
       "2        Bill Sharman  190\n",
       "3           Hal Greer  192\n",
       "4          Jerry West  193\n",
       "5        Walt Frazier  204\n",
       "6         Earl Monroe  204\n",
       "7        James Harden  208\n",
       "8           Bob Cousy  223\n",
       "9    Dick Van Arsdale  232\n",
       "10      Richie Guerin  232\n",
       "11       Walt Bellamy  237\n",
       "12      Dolph Schayes  239\n",
       "13  Russell Westbrook  241\n",
       "14       Kevin Durant  270\n",
       "15   Shaquille O'Neal  272\n",
       "16        Dwyane Wade  314\n",
       "17       LeBron James  361\n",
       "18    Oscar Robertson  377\n",
       "19        Kobe Bryant  395"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_games_df = total_games.to_frame().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_games_df = total_games_df.rename(columns={'PLAYER_NAME': 'TOTAL_GAMES', 'index': 'PLAYER_NAME'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_games_df = total_games.to_frame().reset_index()\n",
    "total_games_df = total_games_df.rename(columns={'PLAYER_NAME': 'TOTAL_GAMES', 'index': 'PLAYER_NAME'})\n",
    "merged_df = pd.merge(left=top_players.to_frame().reset_index(), right=total_games_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_df.loc[:, \"PPG\"] = (merged_df.PTS / merged_df.TOTAL_GAMES).round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>PPG</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>Dick Barnett</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Wilt Chamberlain</td>\n",
       "      <td>190</td>\n",
       "      <td>6</td>\n",
       "      <td>31.67</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bill Sharman</td>\n",
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       "    <tr>\n",
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       "      <td>32.17</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Walt Frazier</td>\n",
       "      <td>204</td>\n",
       "      <td>11</td>\n",
       "      <td>18.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Earl Monroe</td>\n",
       "      <td>204</td>\n",
       "      <td>13</td>\n",
       "      <td>15.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>James Harden</td>\n",
       "      <td>208</td>\n",
       "      <td>8</td>\n",
       "      <td>26.00</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Bob Cousy</td>\n",
       "      <td>223</td>\n",
       "      <td>11</td>\n",
       "      <td>20.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Dick Van Arsdale</td>\n",
       "      <td>232</td>\n",
       "      <td>12</td>\n",
       "      <td>19.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Richie Guerin</td>\n",
       "      <td>232</td>\n",
       "      <td>9</td>\n",
       "      <td>25.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Walt Bellamy</td>\n",
       "      <td>237</td>\n",
       "      <td>9</td>\n",
       "      <td>26.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Dolph Schayes</td>\n",
       "      <td>239</td>\n",
       "      <td>13</td>\n",
       "      <td>18.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Russell Westbrook</td>\n",
       "      <td>241</td>\n",
       "      <td>10</td>\n",
       "      <td>24.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Kevin Durant</td>\n",
       "      <td>270</td>\n",
       "      <td>9</td>\n",
       "      <td>30.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shaquille O'Neal</td>\n",
       "      <td>272</td>\n",
       "      <td>13</td>\n",
       "      <td>20.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Dwyane Wade</td>\n",
       "      <td>314</td>\n",
       "      <td>13</td>\n",
       "      <td>24.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>LeBron James</td>\n",
       "      <td>361</td>\n",
       "      <td>14</td>\n",
       "      <td>25.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Oscar Robertson</td>\n",
       "      <td>377</td>\n",
       "      <td>12</td>\n",
       "      <td>31.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Kobe Bryant</td>\n",
       "      <td>395</td>\n",
       "      <td>16</td>\n",
       "      <td>24.69</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PLAYER_NAME  PTS  TOTAL_GAMES    PPG\n",
       "0        Dick Barnett  187           11  17.00\n",
       "1    Wilt Chamberlain  190            6  31.67\n",
       "2        Bill Sharman  190           10  19.00\n",
       "3           Hal Greer  192            9  21.33\n",
       "4          Jerry West  193            6  32.17\n",
       "5        Walt Frazier  204           11  18.55\n",
       "6         Earl Monroe  204           13  15.69\n",
       "7        James Harden  208            8  26.00\n",
       "8           Bob Cousy  223           11  20.27\n",
       "9    Dick Van Arsdale  232           12  19.33\n",
       "10      Richie Guerin  232            9  25.78\n",
       "11       Walt Bellamy  237            9  26.33\n",
       "12      Dolph Schayes  239           13  18.38\n",
       "13  Russell Westbrook  241           10  24.10\n",
       "14       Kevin Durant  270            9  30.00\n",
       "15   Shaquille O'Neal  272           13  20.92\n",
       "16        Dwyane Wade  314           13  24.15\n",
       "17       LeBron James  361           14  25.79\n",
       "18    Oscar Robertson  377           12  31.42\n",
       "19        Kobe Bryant  395           16  24.69"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Dick Barnett'"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_players.index[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(40, 20, 'Total games (Christmas)')"
      ]
     },
     "execution_count": 102,
     "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",
    "\n",
    "ax.barh(y=merged_df.PLAYER_NAME, width=merged_df.PTS, color='#C94C4C')\n",
    "ax.set_title('Players with most points on Christmas Games in History', size=30)\n",
    "ax.set_xlabel(\"Total Points\", size=24)\n",
    "_ = ax.set_yticks([tick for tick in range(0, len(top_players), 1)])\n",
    "#ax.set_xticklabels(f\"{item}%\" for item in range(0, 105, 20))\n",
    "_ = ax.set_yticklabels(f\"{merged_df.iloc[i].PLAYER_NAME} ({merged_df.iloc[i].TOTAL_GAMES})\" for i in range(len(merged_df)))\n",
    "\n",
    "for i in range(len(merged_df)):\n",
    "    item = merged_df.iloc[i]\n",
    "    ax.text(x=item.PTS - 2, y=i, s=f\"{item.PPG}\", va='center', ha='right')\n",
    "    \n",
    "ax.annotate('Points Per Game (Christmas)', xy=(370, len(merged_df)-1), xytext=(350, len(merged_df)),\n",
    "            arrowprops=dict(color='black', arrowstyle='->', lw=1.5), color='black', size=12, ha='right')\n",
    "\n",
    "ax.annotate('Total games (Christmas)', xy=(0, len(merged_df)-1), xytext=(40, len(merged_df)),\n",
    "            arrowprops=dict(color='black', arrowstyle='->', lw=1.5), color='black', size=12, ha='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(40, 20, 'Ukupno utakmica (Božić)')"
      ]
     },
     "execution_count": 103,
     "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",
    "\n",
    "ax.barh(y=merged_df.PLAYER_NAME, width=merged_df.PTS, color='#C94C4C')\n",
    "ax.set_title('Igrači s najviše poena u Božićnim utakmicama u povijesti', size=30)\n",
    "ax.set_xlabel(\"Ukupno poena\", size=24)\n",
    "_ = ax.set_yticks([tick for tick in range(0, len(top_players), 1)])\n",
    "#ax.set_xticklabels(f\"{item}%\" for item in range(0, 105, 20))\n",
    "_ = ax.set_yticklabels(f\"{merged_df.iloc[i].PLAYER_NAME} ({merged_df.iloc[i].TOTAL_GAMES})\" for i in range(len(merged_df)))\n",
    "\n",
    "for i in range(len(merged_df)):\n",
    "    item = merged_df.iloc[i]\n",
    "    ax.text(x=item.PTS - 2, y=i, s=f\"{item.PPG}\", va='center', ha='right')\n",
    "    \n",
    "ax.annotate('Poeni po utakmici (Božić)', xy=(370, len(merged_df)-1), xytext=(350, len(merged_df)),\n",
    "            arrowprops=dict(color='black', arrowstyle='->', lw=1.5), color='black', size=12, ha='right')\n",
    "\n",
    "ax.annotate('Ukupno utakmica (Božić)', xy=(0, len(merged_df)-1), xytext=(40, len(merged_df)),\n",
    "            arrowprops=dict(color='black', arrowstyle='->', lw=1.5), color='black', size=12, ha='left')"
   ]
  },
  {
   "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
}