Heat Map and Actions.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6da69cbe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import time\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "from pydantic import BaseModel\n",
    "from typing import List, Optional\n",
    "\n",
    "from selenium import webdriver\n",
    "\n",
    "from supabase import create_client, Client\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from mplsoccer.pitch import Pitch, VerticalPitch\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cd43ac1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "driver = webdriver.Chrome()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "023a36dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "whoscored_url = 'https://1xbet.whoscored.com/matches/1866136/live/europe-champions-league-2024-2025-benfica-barcelona'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "18c0ea35",
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.get(whoscored_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a3240b89",
   "metadata": {},
   "outputs": [],
   "source": [
    "soup = BeautifulSoup(driver.page_source, 'html.parser')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ab302533",
   "metadata": {},
   "outputs": [],
   "source": [
    "element = soup.select_one('script:-soup-contains(\"matchCentreData\")')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "353df41c",
   "metadata": {},
   "outputs": [],
   "source": [
    "matchdict = json.loads(element.text.split(\"matchCentreData: \")[1].split(',\\n')[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "58083d80",
   "metadata": {},
   "outputs": [],
   "source": [
    "match_events = matchdict['events']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e84716cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(match_events)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b546eeda",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(subset='playerId', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "64a5d19d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.where(pd.notnull(df), None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "39252a3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.rename(\n",
    "    {\n",
    "        'eventId': 'event_id',\n",
    "        'expandedMinute': 'expanded_minute',\n",
    "        'outcomeType': 'outcome_type',\n",
    "        'isTouch': 'is_touch',\n",
    "        'playerId': 'player_id',\n",
    "        'teamId': 'team_id',\n",
    "        'endX': 'end_x',\n",
    "        'endY': 'end_y',\n",
    "        'blockedX': 'blocked_x',\n",
    "        'blockedY': 'blocked_y',\n",
    "        'goalMouthZ': 'goal_mouth_z',\n",
    "        'goalMouthY': 'goal_mouth_y',\n",
    "        'isShot': 'is_shot',\n",
    "        'cardType': 'card_type',\n",
    "        'isGoal': 'is_goal'\n",
    "    },\n",
    "    axis=1\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5da59d4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['period_display_name'] = df['period'].apply(lambda x: x['displayName'])\n",
    "df['type_display_name'] = df['type'].apply(lambda x: x['displayName'])\n",
    "df['outcome_type_display_name'] = df['outcome_type'].apply(lambda x: x['displayName'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6e20396c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=[\"period\", \"type\", \"outcome_type\"], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "cb800c48",
   "metadata": {},
   "outputs": [],
   "source": [
    "if 'is_goal' not in df.columns:\n",
    "    print('missing goals')\n",
    "    df['is_goal'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "714b9d2e-e749-47ee-b0e7-805dbae33e7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2861e90a",
   "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>id</th>\n",
       "      <th>event_id</th>\n",
       "      <th>minute</th>\n",
       "      <th>second</th>\n",
       "      <th>team_id</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>expanded_minute</th>\n",
       "      <th>qualifiers</th>\n",
       "      <th>satisfiedEventsTypes</th>\n",
       "      <th>is_touch</th>\n",
       "      <th>player_id</th>\n",
       "      <th>end_x</th>\n",
       "      <th>end_y</th>\n",
       "      <th>relatedEventId</th>\n",
       "      <th>relatedPlayerId</th>\n",
       "      <th>blocked_x</th>\n",
       "      <th>blocked_y</th>\n",
       "      <th>goal_mouth_z</th>\n",
       "      <th>goal_mouth_y</th>\n",
       "      <th>is_shot</th>\n",
       "      <th>is_goal</th>\n",
       "      <th>card_type</th>\n",
       "      <th>isOwnGoal</th>\n",
       "      <th>period_display_name</th>\n",
       "      <th>type_display_name</th>\n",
       "      <th>outcome_type_display_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.767664e+09</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0</td>\n",
       "      <td>[{'type': {'value': 140, 'displayName': 'PassE...</td>\n",
       "      <td>[91, 117, 30, 35, 37, 216, 218]</td>\n",
       "      <td>True</td>\n",
       "      <td>300447.0</td>\n",
       "      <td>42.2</td>\n",
       "      <td>53.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.767664e+09</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>65</td>\n",
       "      <td>42.1</td>\n",
       "      <td>52.4</td>\n",
       "      <td>0</td>\n",
       "      <td>[{'type': {'value': 140, 'displayName': 'PassE...</td>\n",
       "      <td>[91, 117, 30, 35, 38, 215, 218]</td>\n",
       "      <td>True</td>\n",
       "      <td>454343.0</td>\n",
       "      <td>31.5</td>\n",
       "      <td>37.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.767664e+09</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>65</td>\n",
       "      <td>31.6</td>\n",
       "      <td>39.5</td>\n",
       "      <td>0</td>\n",
       "      <td>[{'type': {'value': 140, 'displayName': 'PassE...</td>\n",
       "      <td>[91, 117, 30, 36, 37, 216, 218]</td>\n",
       "      <td>True</td>\n",
       "      <td>384711.0</td>\n",
       "      <td>35.1</td>\n",
       "      <td>65.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2.767664e+09</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>65</td>\n",
       "      <td>35.9</td>\n",
       "      <td>68.4</td>\n",
       "      <td>0</td>\n",
       "      <td>[{'type': {'value': 56, 'displayName': 'Zone'}...</td>\n",
       "      <td>[91, 117, 30, 36, 37, 216, 218]</td>\n",
       "      <td>True</td>\n",
       "      <td>498386.0</td>\n",
       "      <td>40.1</td>\n",
       "      <td>91.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.767664e+09</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>65</td>\n",
       "      <td>39.8</td>\n",
       "      <td>91.4</td>\n",
       "      <td>0</td>\n",
       "      <td>[{'type': {'value': 213, 'displayName': 'Angle...</td>\n",
       "      <td>[91, 117, 30, 35, 38, 215, 218]</td>\n",
       "      <td>True</td>\n",
       "      <td>422938.0</td>\n",
       "      <td>29.6</td>\n",
       "      <td>82.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>FirstHalf</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             id  event_id  minute  second  team_id     x     y  \\\n",
       "2  2.767664e+09         3       0     0.0       65  50.0  50.0   \n",
       "3  2.767664e+09         4       0     2.0       65  42.1  52.4   \n",
       "4  2.767664e+09         5       0     3.0       65  31.6  39.5   \n",
       "5  2.767664e+09         6       0     5.0       65  35.9  68.4   \n",
       "6  2.767664e+09         7       0     7.0       65  39.8  91.4   \n",
       "\n",
       "   expanded_minute                                         qualifiers  \\\n",
       "2                0  [{'type': {'value': 140, 'displayName': 'PassE...   \n",
       "3                0  [{'type': {'value': 140, 'displayName': 'PassE...   \n",
       "4                0  [{'type': {'value': 140, 'displayName': 'PassE...   \n",
       "5                0  [{'type': {'value': 56, 'displayName': 'Zone'}...   \n",
       "6                0  [{'type': {'value': 213, 'displayName': 'Angle...   \n",
       "\n",
       "              satisfiedEventsTypes  is_touch  player_id  end_x  end_y  \\\n",
       "2  [91, 117, 30, 35, 37, 216, 218]      True   300447.0   42.2   53.3   \n",
       "3  [91, 117, 30, 35, 38, 215, 218]      True   454343.0   31.5   37.9   \n",
       "4  [91, 117, 30, 36, 37, 216, 218]      True   384711.0   35.1   65.7   \n",
       "5  [91, 117, 30, 36, 37, 216, 218]      True   498386.0   40.1   91.8   \n",
       "6  [91, 117, 30, 35, 38, 215, 218]      True   422938.0   29.6   82.4   \n",
       "\n",
       "   relatedEventId  relatedPlayerId  blocked_x  blocked_y  goal_mouth_z  \\\n",
       "2             NaN              NaN        NaN        NaN           NaN   \n",
       "3             NaN              NaN        NaN        NaN           NaN   \n",
       "4             NaN              NaN        NaN        NaN           NaN   \n",
       "5             NaN              NaN        NaN        NaN           NaN   \n",
       "6             NaN              NaN        NaN        NaN           NaN   \n",
       "\n",
       "   goal_mouth_y is_shot is_goal card_type isOwnGoal period_display_name  \\\n",
       "2           NaN    None    None      None      None           FirstHalf   \n",
       "3           NaN    None    None      None      None           FirstHalf   \n",
       "4           NaN    None    None      None      None           FirstHalf   \n",
       "5           NaN    None    None      None      None           FirstHalf   \n",
       "6           NaN    None    None      None      None           FirstHalf   \n",
       "\n",
       "  type_display_name outcome_type_display_name  \n",
       "2              Pass                Successful  \n",
       "3              Pass                Successful  \n",
       "4              Pass                Successful  \n",
       "5              Pass                Successful  \n",
       "6              Pass                Successful  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "73136eab",
   "metadata": {},
   "outputs": [],
   "source": [
    "selected = df[['minute','second', 'player_id', 'type_display_name', 'outcome_type_display_name', 'x', 'y', 'end_x', 'end_y']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "134dfa97",
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered = selected[selected['player_id'] == 402197]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "74e1c3dd-3992-4669-9880-7ccfa37157f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_rows', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "45b2761a",
   "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>minute</th>\n",
       "      <th>second</th>\n",
       "      <th>player_id</th>\n",
       "      <th>type_display_name</th>\n",
       "      <th>outcome_type_display_name</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>end_x</th>\n",
       "      <th>end_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>BallTouch</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>57.2</td>\n",
       "      <td>97.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>19.2</td>\n",
       "      <td>78.1</td>\n",
       "      <td>32.6</td>\n",
       "      <td>79.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>3</td>\n",
       "      <td>50.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>55.2</td>\n",
       "      <td>37.9</td>\n",
       "      <td>65.6</td>\n",
       "      <td>81.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>4</td>\n",
       "      <td>58.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>BlockedPass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>73.2</td>\n",
       "      <td>7.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>5</td>\n",
       "      <td>17.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>54.0</td>\n",
       "      <td>74.8</td>\n",
       "      <td>61.5</td>\n",
       "      <td>95.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>6</td>\n",
       "      <td>24.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>28.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>24.1</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>6</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>39.3</td>\n",
       "      <td>80.6</td>\n",
       "      <td>30.3</td>\n",
       "      <td>79.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>7</td>\n",
       "      <td>22.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>55.2</td>\n",
       "      <td>21.6</td>\n",
       "      <td>53.5</td>\n",
       "      <td>21.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>7</td>\n",
       "      <td>24.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>51.1</td>\n",
       "      <td>18.2</td>\n",
       "      <td>40.7</td>\n",
       "      <td>32.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>7</td>\n",
       "      <td>33.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>63.1</td>\n",
       "      <td>19.4</td>\n",
       "      <td>72.0</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>7</td>\n",
       "      <td>36.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>63.9</td>\n",
       "      <td>7.4</td>\n",
       "      <td>64.3</td>\n",
       "      <td>16.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>8</td>\n",
       "      <td>20.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>BallRecovery</td>\n",
       "      <td>Successful</td>\n",
       "      <td>74.8</td>\n",
       "      <td>33.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>8</td>\n",
       "      <td>20.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>74.8</td>\n",
       "      <td>33.9</td>\n",
       "      <td>88.8</td>\n",
       "      <td>37.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>8</td>\n",
       "      <td>59.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>43.4</td>\n",
       "      <td>26.1</td>\n",
       "      <td>54.3</td>\n",
       "      <td>18.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>9</td>\n",
       "      <td>40.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>27.4</td>\n",
       "      <td>64.8</td>\n",
       "      <td>24.9</td>\n",
       "      <td>31.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>10</td>\n",
       "      <td>39.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>75.4</td>\n",
       "      <td>68.8</td>\n",
       "      <td>79.7</td>\n",
       "      <td>79.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>13</td>\n",
       "      <td>52.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Tackle</td>\n",
       "      <td>Successful</td>\n",
       "      <td>76.9</td>\n",
       "      <td>88.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>14</td>\n",
       "      <td>39.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>57.8</td>\n",
       "      <td>37.1</td>\n",
       "      <td>46.9</td>\n",
       "      <td>32.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>14</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>63.9</td>\n",
       "      <td>33.9</td>\n",
       "      <td>79.1</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>15</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>66.4</td>\n",
       "      <td>69.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>41.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>18</td>\n",
       "      <td>59.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>63.5</td>\n",
       "      <td>65.1</td>\n",
       "      <td>61.8</td>\n",
       "      <td>30.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>19</td>\n",
       "      <td>40.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>56.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>66.8</td>\n",
       "      <td>23.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>20</td>\n",
       "      <td>24.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>42.3</td>\n",
       "      <td>68.2</td>\n",
       "      <td>46.6</td>\n",
       "      <td>33.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>24</td>\n",
       "      <td>51.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>35.3</td>\n",
       "      <td>57.3</td>\n",
       "      <td>46.1</td>\n",
       "      <td>68.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>67.6</td>\n",
       "      <td>65.7</td>\n",
       "      <td>88.2</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>30</td>\n",
       "      <td>32.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>49.8</td>\n",
       "      <td>50.0</td>\n",
       "      <td>43.8</td>\n",
       "      <td>48.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>32</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>47.1</td>\n",
       "      <td>84.4</td>\n",
       "      <td>82.0</td>\n",
       "      <td>21.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>32</td>\n",
       "      <td>49.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>56.0</td>\n",
       "      <td>60.3</td>\n",
       "      <td>72.4</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>32</td>\n",
       "      <td>57.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>65.1</td>\n",
       "      <td>73.6</td>\n",
       "      <td>60.9</td>\n",
       "      <td>21.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>33</td>\n",
       "      <td>6.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>75.7</td>\n",
       "      <td>70.0</td>\n",
       "      <td>93.4</td>\n",
       "      <td>86.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>33</td>\n",
       "      <td>33.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>51.8</td>\n",
       "      <td>73.9</td>\n",
       "      <td>60.2</td>\n",
       "      <td>96.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>34</td>\n",
       "      <td>5.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>56.9</td>\n",
       "      <td>81.8</td>\n",
       "      <td>66.4</td>\n",
       "      <td>93.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>34</td>\n",
       "      <td>27.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>59.4</td>\n",
       "      <td>42.5</td>\n",
       "      <td>85.4</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</th>\n",
       "      <td>36</td>\n",
       "      <td>16.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>46.2</td>\n",
       "      <td>66.1</td>\n",
       "      <td>38.6</td>\n",
       "      <td>45.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>37</td>\n",
       "      <td>20.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>69.9</td>\n",
       "      <td>40.9</td>\n",
       "      <td>85.2</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>37</td>\n",
       "      <td>25.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>73.5</td>\n",
       "      <td>41.9</td>\n",
       "      <td>74.6</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>38</td>\n",
       "      <td>37.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>BallRecovery</td>\n",
       "      <td>Successful</td>\n",
       "      <td>36.2</td>\n",
       "      <td>41.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>38</td>\n",
       "      <td>37.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>36.2</td>\n",
       "      <td>41.3</td>\n",
       "      <td>46.2</td>\n",
       "      <td>25.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>38</td>\n",
       "      <td>54.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>70.2</td>\n",
       "      <td>7.8</td>\n",
       "      <td>61.8</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>39</td>\n",
       "      <td>9.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>86.7</td>\n",
       "      <td>67.8</td>\n",
       "      <td>85.5</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>39</td>\n",
       "      <td>40.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>65.2</td>\n",
       "      <td>73.2</td>\n",
       "      <td>70.9</td>\n",
       "      <td>57.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>40</td>\n",
       "      <td>2.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>53.3</td>\n",
       "      <td>59.0</td>\n",
       "      <td>57.9</td>\n",
       "      <td>52.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>41</td>\n",
       "      <td>1.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>53.8</td>\n",
       "      <td>35.0</td>\n",
       "      <td>43.7</td>\n",
       "      <td>24.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651</th>\n",
       "      <td>42</td>\n",
       "      <td>38.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>49.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>40.2</td>\n",
       "      <td>87.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>43</td>\n",
       "      <td>24.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>80.3</td>\n",
       "      <td>100.0</td>\n",
       "      <td>60.7</td>\n",
       "      <td>93.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>44</td>\n",
       "      <td>12.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>BallTouch</td>\n",
       "      <td>Successful</td>\n",
       "      <td>72.7</td>\n",
       "      <td>93.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>719</th>\n",
       "      <td>46</td>\n",
       "      <td>16.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>BallRecovery</td>\n",
       "      <td>Successful</td>\n",
       "      <td>51.5</td>\n",
       "      <td>84.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>720</th>\n",
       "      <td>46</td>\n",
       "      <td>18.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>43.5</td>\n",
       "      <td>82.9</td>\n",
       "      <td>35.7</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>750</th>\n",
       "      <td>47</td>\n",
       "      <td>27.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>69.0</td>\n",
       "      <td>59.6</td>\n",
       "      <td>70.8</td>\n",
       "      <td>39.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>47</td>\n",
       "      <td>34.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>72.4</td>\n",
       "      <td>57.5</td>\n",
       "      <td>65.3</td>\n",
       "      <td>66.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>757</th>\n",
       "      <td>47</td>\n",
       "      <td>42.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>68.5</td>\n",
       "      <td>65.1</td>\n",
       "      <td>75.9</td>\n",
       "      <td>15.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>48</td>\n",
       "      <td>47.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>48.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>52.9</td>\n",
       "      <td>31.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>812</th>\n",
       "      <td>46</td>\n",
       "      <td>41.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>55.8</td>\n",
       "      <td>71.8</td>\n",
       "      <td>72.3</td>\n",
       "      <td>95.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>47</td>\n",
       "      <td>0.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>68.8</td>\n",
       "      <td>79.4</td>\n",
       "      <td>78.0</td>\n",
       "      <td>77.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>823</th>\n",
       "      <td>47</td>\n",
       "      <td>8.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>69.8</td>\n",
       "      <td>82.3</td>\n",
       "      <td>71.1</td>\n",
       "      <td>22.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831</th>\n",
       "      <td>47</td>\n",
       "      <td>34.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>84.9</td>\n",
       "      <td>93.3</td>\n",
       "      <td>74.0</td>\n",
       "      <td>90.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>843</th>\n",
       "      <td>48</td>\n",
       "      <td>9.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>76.0</td>\n",
       "      <td>82.7</td>\n",
       "      <td>93.0</td>\n",
       "      <td>31.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>853</th>\n",
       "      <td>48</td>\n",
       "      <td>25.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>75.2</td>\n",
       "      <td>67.2</td>\n",
       "      <td>90.6</td>\n",
       "      <td>49.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>48</td>\n",
       "      <td>55.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>70.4</td>\n",
       "      <td>57.0</td>\n",
       "      <td>70.8</td>\n",
       "      <td>40.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>49</td>\n",
       "      <td>25.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>56.6</td>\n",
       "      <td>69.7</td>\n",
       "      <td>63.2</td>\n",
       "      <td>94.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>49</td>\n",
       "      <td>35.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>56.4</td>\n",
       "      <td>69.4</td>\n",
       "      <td>62.9</td>\n",
       "      <td>87.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>917</th>\n",
       "      <td>51</td>\n",
       "      <td>44.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>38.6</td>\n",
       "      <td>94.4</td>\n",
       "      <td>54.3</td>\n",
       "      <td>89.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>935</th>\n",
       "      <td>52</td>\n",
       "      <td>54.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>49.2</td>\n",
       "      <td>47.3</td>\n",
       "      <td>42.0</td>\n",
       "      <td>21.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>952</th>\n",
       "      <td>53</td>\n",
       "      <td>22.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>37.4</td>\n",
       "      <td>45.7</td>\n",
       "      <td>44.6</td>\n",
       "      <td>24.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>957</th>\n",
       "      <td>53</td>\n",
       "      <td>52.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>61.7</td>\n",
       "      <td>31.8</td>\n",
       "      <td>69.7</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>963</th>\n",
       "      <td>54</td>\n",
       "      <td>15.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>99.8</td>\n",
       "      <td>99.3</td>\n",
       "      <td>89.6</td>\n",
       "      <td>92.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>54</td>\n",
       "      <td>36.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>68.4</td>\n",
       "      <td>83.8</td>\n",
       "      <td>77.1</td>\n",
       "      <td>93.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>54</td>\n",
       "      <td>41.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>72.7</td>\n",
       "      <td>74.8</td>\n",
       "      <td>87.1</td>\n",
       "      <td>38.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>55</td>\n",
       "      <td>1.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>53.3</td>\n",
       "      <td>58.1</td>\n",
       "      <td>43.4</td>\n",
       "      <td>44.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>55</td>\n",
       "      <td>38.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>74.9</td>\n",
       "      <td>85.4</td>\n",
       "      <td>81.3</td>\n",
       "      <td>95.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>55</td>\n",
       "      <td>54.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>73.4</td>\n",
       "      <td>75.6</td>\n",
       "      <td>66.4</td>\n",
       "      <td>47.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1007</th>\n",
       "      <td>56</td>\n",
       "      <td>3.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>75.9</td>\n",
       "      <td>57.5</td>\n",
       "      <td>87.3</td>\n",
       "      <td>31.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1010</th>\n",
       "      <td>56</td>\n",
       "      <td>23.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>86.0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>75.2</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>56</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>55.4</td>\n",
       "      <td>79.7</td>\n",
       "      <td>44.8</td>\n",
       "      <td>69.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1022</th>\n",
       "      <td>56</td>\n",
       "      <td>52.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>64.2</td>\n",
       "      <td>86.2</td>\n",
       "      <td>79.3</td>\n",
       "      <td>96.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024</th>\n",
       "      <td>57</td>\n",
       "      <td>1.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>86.2</td>\n",
       "      <td>85.1</td>\n",
       "      <td>86.0</td>\n",
       "      <td>74.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1036</th>\n",
       "      <td>57</td>\n",
       "      <td>18.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>80.4</td>\n",
       "      <td>88.0</td>\n",
       "      <td>91.4</td>\n",
       "      <td>95.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1054</th>\n",
       "      <td>58</td>\n",
       "      <td>5.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>79.3</td>\n",
       "      <td>77.3</td>\n",
       "      <td>87.1</td>\n",
       "      <td>88.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1071</th>\n",
       "      <td>59</td>\n",
       "      <td>26.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>BallRecovery</td>\n",
       "      <td>Successful</td>\n",
       "      <td>32.9</td>\n",
       "      <td>51.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1072</th>\n",
       "      <td>59</td>\n",
       "      <td>26.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>32.9</td>\n",
       "      <td>51.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1077</th>\n",
       "      <td>59</td>\n",
       "      <td>43.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>92.8</td>\n",
       "      <td>30.6</td>\n",
       "      <td>95.6</td>\n",
       "      <td>89.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>61</td>\n",
       "      <td>39.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>66.5</td>\n",
       "      <td>78.8</td>\n",
       "      <td>62.5</td>\n",
       "      <td>49.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1099</th>\n",
       "      <td>61</td>\n",
       "      <td>49.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>TakeOn</td>\n",
       "      <td>Successful</td>\n",
       "      <td>66.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1100</th>\n",
       "      <td>61</td>\n",
       "      <td>50.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>71.5</td>\n",
       "      <td>47.9</td>\n",
       "      <td>72.2</td>\n",
       "      <td>37.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1105</th>\n",
       "      <td>62</td>\n",
       "      <td>2.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>68.5</td>\n",
       "      <td>76.6</td>\n",
       "      <td>73.8</td>\n",
       "      <td>62.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1107</th>\n",
       "      <td>62</td>\n",
       "      <td>5.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>78.2</td>\n",
       "      <td>68.4</td>\n",
       "      <td>87.8</td>\n",
       "      <td>73.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1135</th>\n",
       "      <td>63</td>\n",
       "      <td>17.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Dispossessed</td>\n",
       "      <td>Successful</td>\n",
       "      <td>77.0</td>\n",
       "      <td>43.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1145</th>\n",
       "      <td>63</td>\n",
       "      <td>32.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>SavedShot</td>\n",
       "      <td>Successful</td>\n",
       "      <td>74.9</td>\n",
       "      <td>57.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1158</th>\n",
       "      <td>64</td>\n",
       "      <td>42.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>43.3</td>\n",
       "      <td>75.4</td>\n",
       "      <td>79.1</td>\n",
       "      <td>12.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1166</th>\n",
       "      <td>65</td>\n",
       "      <td>20.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>61.1</td>\n",
       "      <td>65.1</td>\n",
       "      <td>68.7</td>\n",
       "      <td>54.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1171</th>\n",
       "      <td>65</td>\n",
       "      <td>34.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>74.7</td>\n",
       "      <td>72.1</td>\n",
       "      <td>73.7</td>\n",
       "      <td>52.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1211</th>\n",
       "      <td>68</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>73.9</td>\n",
       "      <td>91.4</td>\n",
       "      <td>84.4</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>71</td>\n",
       "      <td>8.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>60.1</td>\n",
       "      <td>59.9</td>\n",
       "      <td>65.3</td>\n",
       "      <td>64.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>73</td>\n",
       "      <td>54.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>41.2</td>\n",
       "      <td>77.0</td>\n",
       "      <td>38.1</td>\n",
       "      <td>40.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1283</th>\n",
       "      <td>74</td>\n",
       "      <td>28.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>57.6</td>\n",
       "      <td>67.8</td>\n",
       "      <td>76.9</td>\n",
       "      <td>20.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>74</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>64.8</td>\n",
       "      <td>47.2</td>\n",
       "      <td>66.7</td>\n",
       "      <td>76.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>74</td>\n",
       "      <td>58.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>68.8</td>\n",
       "      <td>69.3</td>\n",
       "      <td>61.6</td>\n",
       "      <td>54.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>75</td>\n",
       "      <td>5.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>67.1</td>\n",
       "      <td>57.8</td>\n",
       "      <td>63.2</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>75</td>\n",
       "      <td>16.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>63.9</td>\n",
       "      <td>69.7</td>\n",
       "      <td>68.3</td>\n",
       "      <td>90.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>75</td>\n",
       "      <td>24.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>71.6</td>\n",
       "      <td>79.1</td>\n",
       "      <td>67.6</td>\n",
       "      <td>33.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>75</td>\n",
       "      <td>42.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>68.9</td>\n",
       "      <td>41.8</td>\n",
       "      <td>77.9</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1334</th>\n",
       "      <td>77</td>\n",
       "      <td>59.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>71.6</td>\n",
       "      <td>56.7</td>\n",
       "      <td>75.5</td>\n",
       "      <td>24.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1352</th>\n",
       "      <td>79</td>\n",
       "      <td>50.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>21.6</td>\n",
       "      <td>86.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>54.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1356</th>\n",
       "      <td>80</td>\n",
       "      <td>7.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>52.9</td>\n",
       "      <td>47.5</td>\n",
       "      <td>53.1</td>\n",
       "      <td>17.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1368</th>\n",
       "      <td>81</td>\n",
       "      <td>5.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>61.6</td>\n",
       "      <td>62.7</td>\n",
       "      <td>58.3</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1370</th>\n",
       "      <td>81</td>\n",
       "      <td>11.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>65.9</td>\n",
       "      <td>54.0</td>\n",
       "      <td>69.5</td>\n",
       "      <td>39.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1387</th>\n",
       "      <td>82</td>\n",
       "      <td>0.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>60.5</td>\n",
       "      <td>39.5</td>\n",
       "      <td>57.2</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1394</th>\n",
       "      <td>82</td>\n",
       "      <td>21.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>71.1</td>\n",
       "      <td>75.4</td>\n",
       "      <td>61.6</td>\n",
       "      <td>82.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1397</th>\n",
       "      <td>82</td>\n",
       "      <td>27.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>65.3</td>\n",
       "      <td>71.7</td>\n",
       "      <td>60.8</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1406</th>\n",
       "      <td>82</td>\n",
       "      <td>55.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>54.1</td>\n",
       "      <td>24.4</td>\n",
       "      <td>58.6</td>\n",
       "      <td>9.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1435</th>\n",
       "      <td>84</td>\n",
       "      <td>30.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Foul</td>\n",
       "      <td>Successful</td>\n",
       "      <td>41.2</td>\n",
       "      <td>67.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1437</th>\n",
       "      <td>84</td>\n",
       "      <td>50.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>46.4</td>\n",
       "      <td>66.9</td>\n",
       "      <td>41.7</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>85</td>\n",
       "      <td>53.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>84.6</td>\n",
       "      <td>74.5</td>\n",
       "      <td>94.5</td>\n",
       "      <td>48.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1468</th>\n",
       "      <td>86</td>\n",
       "      <td>58.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>59.2</td>\n",
       "      <td>73.3</td>\n",
       "      <td>65.3</td>\n",
       "      <td>77.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1470</th>\n",
       "      <td>87</td>\n",
       "      <td>1.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>59.8</td>\n",
       "      <td>70.6</td>\n",
       "      <td>65.3</td>\n",
       "      <td>62.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1472</th>\n",
       "      <td>87</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>58.8</td>\n",
       "      <td>65.2</td>\n",
       "      <td>55.4</td>\n",
       "      <td>44.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1474</th>\n",
       "      <td>87</td>\n",
       "      <td>10.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>55.7</td>\n",
       "      <td>69.4</td>\n",
       "      <td>61.1</td>\n",
       "      <td>81.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1477</th>\n",
       "      <td>87</td>\n",
       "      <td>20.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>61.6</td>\n",
       "      <td>52.8</td>\n",
       "      <td>72.7</td>\n",
       "      <td>37.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1484</th>\n",
       "      <td>87</td>\n",
       "      <td>32.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>63.5</td>\n",
       "      <td>29.8</td>\n",
       "      <td>54.4</td>\n",
       "      <td>45.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1488</th>\n",
       "      <td>87</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>71.5</td>\n",
       "      <td>53.1</td>\n",
       "      <td>78.4</td>\n",
       "      <td>51.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1500</th>\n",
       "      <td>88</td>\n",
       "      <td>6.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>78.0</td>\n",
       "      <td>30.3</td>\n",
       "      <td>91.5</td>\n",
       "      <td>34.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1536</th>\n",
       "      <td>89</td>\n",
       "      <td>16.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>54.6</td>\n",
       "      <td>29.1</td>\n",
       "      <td>63.2</td>\n",
       "      <td>12.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1544</th>\n",
       "      <td>89</td>\n",
       "      <td>52.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>54.3</td>\n",
       "      <td>33.9</td>\n",
       "      <td>62.9</td>\n",
       "      <td>23.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1580</th>\n",
       "      <td>92</td>\n",
       "      <td>58.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Aerial</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>17.6</td>\n",
       "      <td>91.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      minute  second  player_id type_display_name outcome_type_display_name  \\\n",
       "10         0    15.0   402197.0         BallTouch              Unsuccessful   \n",
       "28         0    57.0   402197.0              Pass                Successful   \n",
       "52         3    50.0   402197.0              Pass              Unsuccessful   \n",
       "80         4    58.0   402197.0       BlockedPass                Successful   \n",
       "88         5    17.0   402197.0              Pass                Successful   \n",
       "105        6    24.0   402197.0              Pass                Successful   \n",
       "118        6    46.0   402197.0              Pass                Successful   \n",
       "131        7    22.0   402197.0              Pass              Unsuccessful   \n",
       "133        7    24.0   402197.0              Pass                Successful   \n",
       "136        7    33.0   402197.0              Pass                Successful   \n",
       "138        7    36.0   402197.0              Pass                Successful   \n",
       "153        8    20.0   402197.0      BallRecovery                Successful   \n",
       "154        8    20.0   402197.0              Pass                Successful   \n",
       "162        8    59.0   402197.0              Pass                Successful   \n",
       "175        9    40.0   402197.0              Pass                Successful   \n",
       "202       10    39.0   402197.0              Pass                Successful   \n",
       "216       13    52.0   402197.0            Tackle                Successful   \n",
       "244       14    39.0   402197.0              Pass                Successful   \n",
       "246       14    46.0   402197.0              Pass                Successful   \n",
       "253       15     4.0   402197.0              Pass                Successful   \n",
       "323       18    59.0   402197.0              Pass                Successful   \n",
       "342       19    40.0   402197.0              Pass                Successful   \n",
       "357       20    24.0   402197.0              Pass                Successful   \n",
       "392       24    51.0   402197.0              Pass                Successful   \n",
       "395       25     0.0   402197.0              Pass                Successful   \n",
       "434       30    32.0   402197.0              Pass                Successful   \n",
       "462       32     4.0   402197.0              Pass                Successful   \n",
       "480       32    49.0   402197.0              Pass                Successful   \n",
       "482       32    57.0   402197.0              Pass                Successful   \n",
       "484       33     6.0   402197.0              Pass                Successful   \n",
       "497       33    33.0   402197.0              Pass                Successful   \n",
       "507       34     5.0   402197.0              Pass                Successful   \n",
       "514       34    27.0   402197.0              Pass              Unsuccessful   \n",
       "539       36    16.0   402197.0              Pass                Successful   \n",
       "547       37    20.0   402197.0              Pass                Successful   \n",
       "550       37    25.0   402197.0              Pass                Successful   \n",
       "566       38    37.0   402197.0      BallRecovery                Successful   \n",
       "567       38    37.0   402197.0              Pass                Successful   \n",
       "571       38    54.0   402197.0              Pass                Successful   \n",
       "581       39     9.0   402197.0              Pass              Unsuccessful   \n",
       "592       39    40.0   402197.0              Pass                Successful   \n",
       "603       40     2.0   402197.0              Pass                Successful   \n",
       "622       41     1.0   402197.0              Pass                Successful   \n",
       "651       42    38.0   402197.0              Pass                Successful   \n",
       "664       43    24.0   402197.0              Pass                Successful   \n",
       "684       44    12.0   402197.0         BallTouch                Successful   \n",
       "719       46    16.0   402197.0      BallRecovery                Successful   \n",
       "720       46    18.0   402197.0              Pass                Successful   \n",
       "750       47    27.0   402197.0              Pass                Successful   \n",
       "754       47    34.0   402197.0              Pass                Successful   \n",
       "757       47    42.0   402197.0              Pass                Successful   \n",
       "777       48    47.0   402197.0              Pass                Successful   \n",
       "812       46    41.0   402197.0              Pass                Successful   \n",
       "820       47     0.0   402197.0              Pass                Successful   \n",
       "823       47     8.0   402197.0              Pass                Successful   \n",
       "831       47    34.0   402197.0              Pass                Successful   \n",
       "843       48     9.0   402197.0              Pass                Successful   \n",
       "853       48    25.0   402197.0              Pass                Successful   \n",
       "862       48    55.0   402197.0              Pass                Successful   \n",
       "873       49    25.0   402197.0              Pass                Successful   \n",
       "875       49    35.0   402197.0              Pass                Successful   \n",
       "917       51    44.0   402197.0              Pass              Unsuccessful   \n",
       "935       52    54.0   402197.0              Pass                Successful   \n",
       "952       53    22.0   402197.0              Pass                Successful   \n",
       "957       53    52.0   402197.0              Pass                Successful   \n",
       "963       54    15.0   402197.0              Pass                Successful   \n",
       "972       54    36.0   402197.0              Pass                Successful   \n",
       "974       54    41.0   402197.0              Pass              Unsuccessful   \n",
       "979       55     1.0   402197.0              Pass                Successful   \n",
       "995       55    38.0   402197.0              Pass                Successful   \n",
       "1003      55    54.0   402197.0              Pass                Successful   \n",
       "1007      56     3.0   402197.0              Pass              Unsuccessful   \n",
       "1010      56    23.0   402197.0              Pass                Successful   \n",
       "1020      56    46.0   402197.0              Pass                Successful   \n",
       "1022      56    52.0   402197.0              Pass                Successful   \n",
       "1024      57     1.0   402197.0              Pass                Successful   \n",
       "1036      57    18.0   402197.0              Pass                Successful   \n",
       "1054      58     5.0   402197.0              Pass                Successful   \n",
       "1071      59    26.0   402197.0      BallRecovery                Successful   \n",
       "1072      59    26.0   402197.0              Pass                Successful   \n",
       "1077      59    43.0   402197.0              Pass              Unsuccessful   \n",
       "1094      61    39.0   402197.0              Pass                Successful   \n",
       "1099      61    49.0   402197.0            TakeOn                Successful   \n",
       "1100      61    50.0   402197.0              Pass                Successful   \n",
       "1105      62     2.0   402197.0              Pass                Successful   \n",
       "1107      62     5.0   402197.0              Pass                Successful   \n",
       "1135      63    17.0   402197.0      Dispossessed                Successful   \n",
       "1145      63    32.0   402197.0         SavedShot                Successful   \n",
       "1158      64    42.0   402197.0              Pass              Unsuccessful   \n",
       "1166      65    20.0   402197.0              Pass                Successful   \n",
       "1171      65    34.0   402197.0              Pass                Successful   \n",
       "1211      68    46.0   402197.0              Pass              Unsuccessful   \n",
       "1236      71     8.0   402197.0              Pass                Successful   \n",
       "1271      73    54.0   402197.0              Pass                Successful   \n",
       "1283      74    28.0   402197.0              Pass              Unsuccessful   \n",
       "1287      74    46.0   402197.0              Pass                Successful   \n",
       "1290      74    58.0   402197.0              Pass                Successful   \n",
       "1292      75     5.0   402197.0              Pass                Successful   \n",
       "1297      75    16.0   402197.0              Pass                Successful   \n",
       "1300      75    24.0   402197.0              Pass                Successful   \n",
       "1309      75    42.0   402197.0              Pass                Successful   \n",
       "1334      77    59.0   402197.0              Pass                Successful   \n",
       "1352      79    50.0   402197.0              Pass                Successful   \n",
       "1356      80     7.0   402197.0              Pass                Successful   \n",
       "1368      81     5.0   402197.0              Pass                Successful   \n",
       "1370      81    11.0   402197.0              Pass                Successful   \n",
       "1387      82     0.0   402197.0              Pass                Successful   \n",
       "1394      82    21.0   402197.0              Pass                Successful   \n",
       "1397      82    27.0   402197.0              Pass                Successful   \n",
       "1406      82    55.0   402197.0              Pass                Successful   \n",
       "1435      84    30.0   402197.0              Foul                Successful   \n",
       "1437      84    50.0   402197.0              Pass                Successful   \n",
       "1458      85    53.0   402197.0              Pass                Successful   \n",
       "1468      86    58.0   402197.0              Pass                Successful   \n",
       "1470      87     1.0   402197.0              Pass                Successful   \n",
       "1472      87     4.0   402197.0              Pass                Successful   \n",
       "1474      87    10.0   402197.0              Pass                Successful   \n",
       "1477      87    20.0   402197.0              Pass                Successful   \n",
       "1484      87    32.0   402197.0              Pass                Successful   \n",
       "1488      87    46.0   402197.0              Pass                Successful   \n",
       "1500      88     6.0   402197.0              Pass                Successful   \n",
       "1536      89    16.0   402197.0              Pass                Successful   \n",
       "1544      89    52.0   402197.0              Pass                Successful   \n",
       "1580      92    58.0   402197.0            Aerial              Unsuccessful   \n",
       "\n",
       "         x      y  end_x  end_y  \n",
       "10    57.2   97.7    NaN    NaN  \n",
       "28    19.2   78.1   32.6   79.0  \n",
       "52    55.2   37.9   65.6   81.1  \n",
       "80    73.2    7.3    NaN    NaN  \n",
       "88    54.0   74.8   61.5   95.7  \n",
       "105   28.0    8.3   24.1    3.2  \n",
       "118   39.3   80.6   30.3   79.0  \n",
       "131   55.2   21.6   53.5   21.3  \n",
       "133   51.1   18.2   40.7   32.1  \n",
       "136   63.1   19.4   72.0    6.5  \n",
       "138   63.9    7.4   64.3   16.4  \n",
       "153   74.8   33.9    NaN    NaN  \n",
       "154   74.8   33.9   88.8   37.9  \n",
       "162   43.4   26.1   54.3   18.8  \n",
       "175   27.4   64.8   24.9   31.2  \n",
       "202   75.4   68.8   79.7   79.1  \n",
       "216   76.9   88.5    NaN    NaN  \n",
       "244   57.8   37.1   46.9   32.4  \n",
       "246   63.9   33.9   79.1    4.6  \n",
       "253   66.4   69.0   62.0   41.8  \n",
       "323   63.5   65.1   61.8   30.6  \n",
       "342   56.0   20.0   66.8   23.1  \n",
       "357   42.3   68.2   46.6   33.3  \n",
       "392   35.3   57.3   46.1   68.5  \n",
       "395   67.6   65.7   88.2   18.0  \n",
       "434   49.8   50.0   43.8   48.8  \n",
       "462   47.1   84.4   82.0   21.3  \n",
       "480   56.0   60.3   72.4   93.0  \n",
       "482   65.1   73.6   60.9   21.2  \n",
       "484   75.7   70.0   93.4   86.8  \n",
       "497   51.8   73.9   60.2   96.5  \n",
       "507   56.9   81.8   66.4   93.8  \n",
       "514   59.4   42.5   85.4    0.0  \n",
       "539   46.2   66.1   38.6   45.4  \n",
       "547   69.9   40.9   85.2   10.0  \n",
       "550   73.5   41.9   74.6   35.0  \n",
       "566   36.2   41.3    NaN    NaN  \n",
       "567   36.2   41.3   46.2   25.5  \n",
       "571   70.2    7.8   61.8    4.7  \n",
       "581   86.7   67.8   85.5   46.0  \n",
       "592   65.2   73.2   70.9   57.5  \n",
       "603   53.3   59.0   57.9   52.4  \n",
       "622   53.8   35.0   43.7   24.4  \n",
       "651   49.0  100.0   40.2   87.7  \n",
       "664   80.3  100.0   60.7   93.6  \n",
       "684   72.7   93.0    NaN    NaN  \n",
       "719   51.5   84.4    NaN    NaN  \n",
       "720   43.5   82.9   35.7   60.0  \n",
       "750   69.0   59.6   70.8   39.2  \n",
       "754   72.4   57.5   65.3   66.9  \n",
       "757   68.5   65.1   75.9   15.6  \n",
       "777   48.0   46.0   52.9   31.8  \n",
       "812   55.8   71.8   72.3   95.4  \n",
       "820   68.8   79.4   78.0   77.3  \n",
       "823   69.8   82.3   71.1   22.5  \n",
       "831   84.9   93.3   74.0   90.9  \n",
       "843   76.0   82.7   93.0   31.9  \n",
       "853   75.2   67.2   90.6   49.3  \n",
       "862   70.4   57.0   70.8   40.7  \n",
       "873   56.6   69.7   63.2   94.7  \n",
       "875   56.4   69.4   62.9   87.2  \n",
       "917   38.6   94.4   54.3   89.1  \n",
       "935   49.2   47.3   42.0   21.8  \n",
       "952   37.4   45.7   44.6   24.9  \n",
       "957   61.7   31.8   69.7   47.0  \n",
       "963   99.8   99.3   89.6   92.7  \n",
       "972   68.4   83.8   77.1   93.6  \n",
       "974   72.7   74.8   87.1   38.6  \n",
       "979   53.3   58.1   43.4   44.6  \n",
       "995   74.9   85.4   81.3   95.0  \n",
       "1003  73.4   75.6   66.4   47.9  \n",
       "1007  75.9   57.5   87.3   31.8  \n",
       "1010  86.0    6.4   75.2    5.3  \n",
       "1020  55.4   79.7   44.8   69.6  \n",
       "1022  64.2   86.2   79.3   96.6  \n",
       "1024  86.2   85.1   86.0   74.7  \n",
       "1036  80.4   88.0   91.4   95.7  \n",
       "1054  79.3   77.3   87.1   88.4  \n",
       "1071  32.9   51.0    NaN    NaN  \n",
       "1072  32.9   51.0   39.0   20.0  \n",
       "1077  92.8   30.6   95.6   89.7  \n",
       "1094  66.5   78.8   62.5   49.1  \n",
       "1099  66.0   51.0    NaN    NaN  \n",
       "1100  71.5   47.9   72.2   37.4  \n",
       "1105  68.5   76.6   73.8   62.1  \n",
       "1107  78.2   68.4   87.8   73.6  \n",
       "1135  77.0   43.7    NaN    NaN  \n",
       "1145  74.9   57.9    NaN    NaN  \n",
       "1158  43.3   75.4   79.1   12.5  \n",
       "1166  61.1   65.1   68.7   54.2  \n",
       "1171  74.7   72.1   73.7   52.2  \n",
       "1211  73.9   91.4   84.4  100.0  \n",
       "1236  60.1   59.9   65.3   64.8  \n",
       "1271  41.2   77.0   38.1   40.7  \n",
       "1283  57.6   67.8   76.9   20.3  \n",
       "1287  64.8   47.2   66.7   76.1  \n",
       "1290  68.8   69.3   61.6   54.3  \n",
       "1292  67.1   57.8   63.2   30.0  \n",
       "1297  63.9   69.7   68.3   90.6  \n",
       "1300  71.6   79.1   67.6   33.7  \n",
       "1309  68.9   41.8   77.9   44.0  \n",
       "1334  71.6   56.7   75.5   24.4  \n",
       "1352  21.6   86.0    5.8   54.6  \n",
       "1356  52.9   47.5   53.1   17.7  \n",
       "1368  61.6   62.7   58.3   41.0  \n",
       "1370  65.9   54.0   69.5   39.2  \n",
       "1387  60.5   39.5   57.2   56.0  \n",
       "1394  71.1   75.4   61.6   82.7  \n",
       "1397  65.3   71.7   60.8   43.0  \n",
       "1406  54.1   24.4   58.6    9.5  \n",
       "1435  41.2   67.4    NaN    NaN  \n",
       "1437  46.4   66.9   41.7   60.5  \n",
       "1458  84.6   74.5   94.5   48.1  \n",
       "1468  59.2   73.3   65.3   77.3  \n",
       "1470  59.8   70.6   65.3   62.1  \n",
       "1472  58.8   65.2   55.4   44.6  \n",
       "1474  55.7   69.4   61.1   81.5  \n",
       "1477  61.6   52.8   72.7   37.4  \n",
       "1484  63.5   29.8   54.4   45.2  \n",
       "1488  71.5   53.1   78.4   51.5  \n",
       "1500  78.0   30.3   91.5   34.9  \n",
       "1536  54.6   29.1   63.2   12.2  \n",
       "1544  54.3   33.9   62.9   23.1  \n",
       "1580  17.6   91.6    NaN    NaN  "
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "ed3c90e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "final = filtered[filtered['type_display_name'] == 'Pass']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "619f6c8d-e31e-49f0-b6fa-99ff2cfaa1d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "key_passes = pd.read_csv('Pedri vs Benfica.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "3b0fc5f6-a35d-4230-ae83-906d2d6f147c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Player</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>END_X</th>\n",
       "      <th>END_Y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Pedri</td>\n",
       "      <td>74.8</td>\n",
       "      <td>33.9</td>\n",
       "      <td>88.8</td>\n",
       "      <td>37.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Pedri</td>\n",
       "      <td>75.2</td>\n",
       "      <td>67.2</td>\n",
       "      <td>90.6</td>\n",
       "      <td>49.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Pedri</td>\n",
       "      <td>61.1</td>\n",
       "      <td>65.1</td>\n",
       "      <td>68.7</td>\n",
       "      <td>54.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Pedri</td>\n",
       "      <td>71.6</td>\n",
       "      <td>56.7</td>\n",
       "      <td>75.5</td>\n",
       "      <td>24.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pedri</td>\n",
       "      <td>78.0</td>\n",
       "      <td>30.3</td>\n",
       "      <td>91.5</td>\n",
       "      <td>34.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Pedri</td>\n",
       "      <td>84.6</td>\n",
       "      <td>74.5</td>\n",
       "      <td>94.5</td>\n",
       "      <td>48.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Player     X     Y  END_X  END_Y\n",
       "0  Pedri  74.8  33.9   88.8   37.9\n",
       "1  Pedri  75.2  67.2   90.6   49.3\n",
       "2  Pedri  61.1  65.1   68.7   54.2\n",
       "3  Pedri  71.6  56.7   75.5   24.4\n",
       "4  Pedri  78.0  30.3   91.5   34.9\n",
       "5  Pedri  84.6  74.5   94.5   48.1"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "key_passes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "a0f4d614",
   "metadata": {},
   "outputs": [],
   "source": [
    "touches = filtered[filtered['type_display_name'] == 'BallTouch']\n",
    "recovery = filtered[filtered['type_display_name'] == 'BallRecovery']\n",
    "dribble = filtered[filtered['type_display_name'] == 'TakeOn']\n",
    "goal = filtered[filtered['type_display_name'] == 'Goal']\n",
    "missed = filtered[filtered['type_display_name'] == 'MissedShots']\n",
    "saved = filtered[filtered['type_display_name'] == 'SavedShot']\n",
    "foul = filtered[filtered['type_display_name'] == 'Foul']\n",
    "tackle = filtered[filtered['type_display_name'] == 'Tackle']\n",
    "challenge = filtered[filtered['type_display_name'] == 'Challenge']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "c229b1fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "succ_dribble = dribble[dribble['outcome_type_display_name'] == 'Successful']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "4603b091",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  final['x'] = final['x']*1.2\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  final['end_x'] = final['end_x']*1.2\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  final['y'] = final['y']*0.8\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  final['end_y'] = final['end_y']*0.8\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:13: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  touches['x'] = touches['x']*1.2\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:14: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  touches['y'] = touches['y']*0.8\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:16: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  recovery['x'] = recovery['x']*1.2\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:17: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  recovery['y'] = recovery['y']*0.8\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:28: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  saved['x'] = saved['x']*1.2\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:29: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  saved['y'] = saved['y']*0.8\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:31: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  foul['x'] = foul['x']*1.2\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:32: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  foul['y'] = foul['y']*0.8\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:34: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  tackle['x'] = tackle['x']*1.2\n",
      "C:\\Users\\risha\\AppData\\Local\\Temp\\ipykernel_10584\\3086243727.py:35: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  tackle['y'] = tackle['y']*0.8\n"
     ]
    }
   ],
   "source": [
    "final['x'] = final['x']*1.2\n",
    "final['end_x'] = final['end_x']*1.2\n",
    "\n",
    "final['y'] = final['y']*0.8\n",
    "final['end_y'] = final['end_y']*0.8\n",
    "\n",
    "key_passes['X'] = key_passes['X']*1.2\n",
    "key_passes['END_X'] = key_passes['END_X']*1.2\n",
    "\n",
    "key_passes['Y'] = key_passes['Y']*0.8\n",
    "key_passes['END_Y'] = key_passes['END_Y']*0.8\n",
    "\n",
    "touches['x'] = touches['x']*1.2\n",
    "touches['y'] = touches['y']*0.8\n",
    "\n",
    "recovery['x'] = recovery['x']*1.2\n",
    "recovery['y'] = recovery['y']*0.8\n",
    "\n",
    "succ_dribble['x'] = succ_dribble['x']*1.2\n",
    "succ_dribble['y'] = succ_dribble['y']*0.8\n",
    "\n",
    "goal['x'] = goal['x']*1.2\n",
    "goal['y'] = goal['y']*0.8\n",
    "\n",
    "missed['x'] = missed['x']*1.2\n",
    "missed['y'] = missed['y']*0.8\n",
    "\n",
    "saved['x'] = saved['x']*1.2\n",
    "saved['y'] = saved['y']*0.8\n",
    "\n",
    "foul['x'] = foul['x']*1.2\n",
    "foul['y'] = foul['y']*0.8\n",
    "\n",
    "tackle['x'] = tackle['x']*1.2\n",
    "tackle['y'] = tackle['y']*0.8\n",
    "\n",
    "challenge['x'] = challenge['x']*1.2\n",
    "challenge['y'] = challenge['y']*0.8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "9ab959e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>minute</th>\n",
       "      <th>second</th>\n",
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       "      <th>28</th>\n",
       "      <td>0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>23.04</td>\n",
       "      <td>62.48</td>\n",
       "      <td>39.12</td>\n",
       "      <td>63.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>3</td>\n",
       "      <td>50.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>66.24</td>\n",
       "      <td>30.32</td>\n",
       "      <td>78.72</td>\n",
       "      <td>64.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>5</td>\n",
       "      <td>17.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>64.80</td>\n",
       "      <td>59.84</td>\n",
       "      <td>73.80</td>\n",
       "      <td>76.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>6</td>\n",
       "      <td>24.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>33.60</td>\n",
       "      <td>6.64</td>\n",
       "      <td>28.92</td>\n",
       "      <td>2.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>6</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>47.16</td>\n",
       "      <td>64.48</td>\n",
       "      <td>36.36</td>\n",
       "      <td>63.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>7</td>\n",
       "      <td>22.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>66.24</td>\n",
       "      <td>17.28</td>\n",
       "      <td>64.20</td>\n",
       "      <td>17.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>7</td>\n",
       "      <td>24.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>61.32</td>\n",
       "      <td>14.56</td>\n",
       "      <td>48.84</td>\n",
       "      <td>25.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>7</td>\n",
       "      <td>33.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>75.72</td>\n",
       "      <td>15.52</td>\n",
       "      <td>86.40</td>\n",
       "      <td>5.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>7</td>\n",
       "      <td>36.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>76.68</td>\n",
       "      <td>5.92</td>\n",
       "      <td>77.16</td>\n",
       "      <td>13.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>8</td>\n",
       "      <td>20.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>89.76</td>\n",
       "      <td>27.12</td>\n",
       "      <td>106.56</td>\n",
       "      <td>30.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>8</td>\n",
       "      <td>59.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>52.08</td>\n",
       "      <td>20.88</td>\n",
       "      <td>65.16</td>\n",
       "      <td>15.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>9</td>\n",
       "      <td>40.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>32.88</td>\n",
       "      <td>51.84</td>\n",
       "      <td>29.88</td>\n",
       "      <td>24.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>10</td>\n",
       "      <td>39.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>90.48</td>\n",
       "      <td>55.04</td>\n",
       "      <td>95.64</td>\n",
       "      <td>63.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>14</td>\n",
       "      <td>39.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>69.36</td>\n",
       "      <td>29.68</td>\n",
       "      <td>56.28</td>\n",
       "      <td>25.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>14</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>76.68</td>\n",
       "      <td>27.12</td>\n",
       "      <td>94.92</td>\n",
       "      <td>3.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>15</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>79.68</td>\n",
       "      <td>55.20</td>\n",
       "      <td>74.40</td>\n",
       "      <td>33.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>18</td>\n",
       "      <td>59.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>76.20</td>\n",
       "      <td>52.08</td>\n",
       "      <td>74.16</td>\n",
       "      <td>24.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>19</td>\n",
       "      <td>40.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>67.20</td>\n",
       "      <td>16.00</td>\n",
       "      <td>80.16</td>\n",
       "      <td>18.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>20</td>\n",
       "      <td>24.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>50.76</td>\n",
       "      <td>54.56</td>\n",
       "      <td>55.92</td>\n",
       "      <td>26.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>24</td>\n",
       "      <td>51.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>42.36</td>\n",
       "      <td>45.84</td>\n",
       "      <td>55.32</td>\n",
       "      <td>54.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>81.12</td>\n",
       "      <td>52.56</td>\n",
       "      <td>105.84</td>\n",
       "      <td>14.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>30</td>\n",
       "      <td>32.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>59.76</td>\n",
       "      <td>40.00</td>\n",
       "      <td>52.56</td>\n",
       "      <td>39.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>32</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>56.52</td>\n",
       "      <td>67.52</td>\n",
       "      <td>98.40</td>\n",
       "      <td>17.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>32</td>\n",
       "      <td>49.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>67.20</td>\n",
       "      <td>48.24</td>\n",
       "      <td>86.88</td>\n",
       "      <td>74.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>32</td>\n",
       "      <td>57.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>78.12</td>\n",
       "      <td>58.88</td>\n",
       "      <td>73.08</td>\n",
       "      <td>16.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>33</td>\n",
       "      <td>6.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>90.84</td>\n",
       "      <td>56.00</td>\n",
       "      <td>112.08</td>\n",
       "      <td>69.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>33</td>\n",
       "      <td>33.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>62.16</td>\n",
       "      <td>59.12</td>\n",
       "      <td>72.24</td>\n",
       "      <td>77.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>34</td>\n",
       "      <td>5.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>68.28</td>\n",
       "      <td>65.44</td>\n",
       "      <td>79.68</td>\n",
       "      <td>75.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>34</td>\n",
       "      <td>27.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>71.28</td>\n",
       "      <td>34.00</td>\n",
       "      <td>102.48</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</th>\n",
       "      <td>36</td>\n",
       "      <td>16.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>55.44</td>\n",
       "      <td>52.88</td>\n",
       "      <td>46.32</td>\n",
       "      <td>36.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>37</td>\n",
       "      <td>20.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>83.88</td>\n",
       "      <td>32.72</td>\n",
       "      <td>102.24</td>\n",
       "      <td>8.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>37</td>\n",
       "      <td>25.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>88.20</td>\n",
       "      <td>33.52</td>\n",
       "      <td>89.52</td>\n",
       "      <td>28.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>38</td>\n",
       "      <td>37.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>43.44</td>\n",
       "      <td>33.04</td>\n",
       "      <td>55.44</td>\n",
       "      <td>20.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>38</td>\n",
       "      <td>54.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>84.24</td>\n",
       "      <td>6.24</td>\n",
       "      <td>74.16</td>\n",
       "      <td>3.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>39</td>\n",
       "      <td>9.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>104.04</td>\n",
       "      <td>54.24</td>\n",
       "      <td>102.60</td>\n",
       "      <td>36.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>39</td>\n",
       "      <td>40.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>78.24</td>\n",
       "      <td>58.56</td>\n",
       "      <td>85.08</td>\n",
       "      <td>46.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>40</td>\n",
       "      <td>2.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>63.96</td>\n",
       "      <td>47.20</td>\n",
       "      <td>69.48</td>\n",
       "      <td>41.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>41</td>\n",
       "      <td>1.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>64.56</td>\n",
       "      <td>28.00</td>\n",
       "      <td>52.44</td>\n",
       "      <td>19.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651</th>\n",
       "      <td>42</td>\n",
       "      <td>38.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>58.80</td>\n",
       "      <td>80.00</td>\n",
       "      <td>48.24</td>\n",
       "      <td>70.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>43</td>\n",
       "      <td>24.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>96.36</td>\n",
       "      <td>80.00</td>\n",
       "      <td>72.84</td>\n",
       "      <td>74.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>720</th>\n",
       "      <td>46</td>\n",
       "      <td>18.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>52.20</td>\n",
       "      <td>66.32</td>\n",
       "      <td>42.84</td>\n",
       "      <td>48.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>750</th>\n",
       "      <td>47</td>\n",
       "      <td>27.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>82.80</td>\n",
       "      <td>47.68</td>\n",
       "      <td>84.96</td>\n",
       "      <td>31.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>47</td>\n",
       "      <td>34.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>86.88</td>\n",
       "      <td>46.00</td>\n",
       "      <td>78.36</td>\n",
       "      <td>53.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>757</th>\n",
       "      <td>47</td>\n",
       "      <td>42.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>82.20</td>\n",
       "      <td>52.08</td>\n",
       "      <td>91.08</td>\n",
       "      <td>12.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>48</td>\n",
       "      <td>47.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>57.60</td>\n",
       "      <td>36.80</td>\n",
       "      <td>63.48</td>\n",
       "      <td>25.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>812</th>\n",
       "      <td>46</td>\n",
       "      <td>41.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>66.96</td>\n",
       "      <td>57.44</td>\n",
       "      <td>86.76</td>\n",
       "      <td>76.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>47</td>\n",
       "      <td>0.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>82.56</td>\n",
       "      <td>63.52</td>\n",
       "      <td>93.60</td>\n",
       "      <td>61.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>823</th>\n",
       "      <td>47</td>\n",
       "      <td>8.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>83.76</td>\n",
       "      <td>65.84</td>\n",
       "      <td>85.32</td>\n",
       "      <td>18.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831</th>\n",
       "      <td>47</td>\n",
       "      <td>34.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>101.88</td>\n",
       "      <td>74.64</td>\n",
       "      <td>88.80</td>\n",
       "      <td>72.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>843</th>\n",
       "      <td>48</td>\n",
       "      <td>9.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>91.20</td>\n",
       "      <td>66.16</td>\n",
       "      <td>111.60</td>\n",
       "      <td>25.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>853</th>\n",
       "      <td>48</td>\n",
       "      <td>25.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>90.24</td>\n",
       "      <td>53.76</td>\n",
       "      <td>108.72</td>\n",
       "      <td>39.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>48</td>\n",
       "      <td>55.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>84.48</td>\n",
       "      <td>45.60</td>\n",
       "      <td>84.96</td>\n",
       "      <td>32.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>49</td>\n",
       "      <td>25.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>67.92</td>\n",
       "      <td>55.76</td>\n",
       "      <td>75.84</td>\n",
       "      <td>75.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>49</td>\n",
       "      <td>35.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>67.68</td>\n",
       "      <td>55.52</td>\n",
       "      <td>75.48</td>\n",
       "      <td>69.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>917</th>\n",
       "      <td>51</td>\n",
       "      <td>44.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>46.32</td>\n",
       "      <td>75.52</td>\n",
       "      <td>65.16</td>\n",
       "      <td>71.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>935</th>\n",
       "      <td>52</td>\n",
       "      <td>54.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>59.04</td>\n",
       "      <td>37.84</td>\n",
       "      <td>50.40</td>\n",
       "      <td>17.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>952</th>\n",
       "      <td>53</td>\n",
       "      <td>22.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>44.88</td>\n",
       "      <td>36.56</td>\n",
       "      <td>53.52</td>\n",
       "      <td>19.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>957</th>\n",
       "      <td>53</td>\n",
       "      <td>52.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>74.04</td>\n",
       "      <td>25.44</td>\n",
       "      <td>83.64</td>\n",
       "      <td>37.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>963</th>\n",
       "      <td>54</td>\n",
       "      <td>15.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>119.76</td>\n",
       "      <td>79.44</td>\n",
       "      <td>107.52</td>\n",
       "      <td>74.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>54</td>\n",
       "      <td>36.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>82.08</td>\n",
       "      <td>67.04</td>\n",
       "      <td>92.52</td>\n",
       "      <td>74.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>54</td>\n",
       "      <td>41.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>87.24</td>\n",
       "      <td>59.84</td>\n",
       "      <td>104.52</td>\n",
       "      <td>30.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>55</td>\n",
       "      <td>1.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>63.96</td>\n",
       "      <td>46.48</td>\n",
       "      <td>52.08</td>\n",
       "      <td>35.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>55</td>\n",
       "      <td>38.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>89.88</td>\n",
       "      <td>68.32</td>\n",
       "      <td>97.56</td>\n",
       "      <td>76.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>55</td>\n",
       "      <td>54.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>88.08</td>\n",
       "      <td>60.48</td>\n",
       "      <td>79.68</td>\n",
       "      <td>38.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1007</th>\n",
       "      <td>56</td>\n",
       "      <td>3.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>91.08</td>\n",
       "      <td>46.00</td>\n",
       "      <td>104.76</td>\n",
       "      <td>25.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1010</th>\n",
       "      <td>56</td>\n",
       "      <td>23.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>103.20</td>\n",
       "      <td>5.12</td>\n",
       "      <td>90.24</td>\n",
       "      <td>4.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>56</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>66.48</td>\n",
       "      <td>63.76</td>\n",
       "      <td>53.76</td>\n",
       "      <td>55.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1022</th>\n",
       "      <td>56</td>\n",
       "      <td>52.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>77.04</td>\n",
       "      <td>68.96</td>\n",
       "      <td>95.16</td>\n",
       "      <td>77.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024</th>\n",
       "      <td>57</td>\n",
       "      <td>1.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>103.44</td>\n",
       "      <td>68.08</td>\n",
       "      <td>103.20</td>\n",
       "      <td>59.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1036</th>\n",
       "      <td>57</td>\n",
       "      <td>18.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>96.48</td>\n",
       "      <td>70.40</td>\n",
       "      <td>109.68</td>\n",
       "      <td>76.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1054</th>\n",
       "      <td>58</td>\n",
       "      <td>5.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>95.16</td>\n",
       "      <td>61.84</td>\n",
       "      <td>104.52</td>\n",
       "      <td>70.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1072</th>\n",
       "      <td>59</td>\n",
       "      <td>26.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>39.48</td>\n",
       "      <td>40.80</td>\n",
       "      <td>46.80</td>\n",
       "      <td>16.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1077</th>\n",
       "      <td>59</td>\n",
       "      <td>43.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>111.36</td>\n",
       "      <td>24.48</td>\n",
       "      <td>114.72</td>\n",
       "      <td>71.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>61</td>\n",
       "      <td>39.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>79.80</td>\n",
       "      <td>63.04</td>\n",
       "      <td>75.00</td>\n",
       "      <td>39.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1100</th>\n",
       "      <td>61</td>\n",
       "      <td>50.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>85.80</td>\n",
       "      <td>38.32</td>\n",
       "      <td>86.64</td>\n",
       "      <td>29.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1105</th>\n",
       "      <td>62</td>\n",
       "      <td>2.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>82.20</td>\n",
       "      <td>61.28</td>\n",
       "      <td>88.56</td>\n",
       "      <td>49.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1107</th>\n",
       "      <td>62</td>\n",
       "      <td>5.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>93.84</td>\n",
       "      <td>54.72</td>\n",
       "      <td>105.36</td>\n",
       "      <td>58.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1158</th>\n",
       "      <td>64</td>\n",
       "      <td>42.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>51.96</td>\n",
       "      <td>60.32</td>\n",
       "      <td>94.92</td>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1166</th>\n",
       "      <td>65</td>\n",
       "      <td>20.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>73.32</td>\n",
       "      <td>52.08</td>\n",
       "      <td>82.44</td>\n",
       "      <td>43.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1171</th>\n",
       "      <td>65</td>\n",
       "      <td>34.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>89.64</td>\n",
       "      <td>57.68</td>\n",
       "      <td>88.44</td>\n",
       "      <td>41.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1211</th>\n",
       "      <td>68</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>88.68</td>\n",
       "      <td>73.12</td>\n",
       "      <td>101.28</td>\n",
       "      <td>80.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>71</td>\n",
       "      <td>8.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>72.12</td>\n",
       "      <td>47.92</td>\n",
       "      <td>78.36</td>\n",
       "      <td>51.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>73</td>\n",
       "      <td>54.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>49.44</td>\n",
       "      <td>61.60</td>\n",
       "      <td>45.72</td>\n",
       "      <td>32.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1283</th>\n",
       "      <td>74</td>\n",
       "      <td>28.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Unsuccessful</td>\n",
       "      <td>69.12</td>\n",
       "      <td>54.24</td>\n",
       "      <td>92.28</td>\n",
       "      <td>16.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>74</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>77.76</td>\n",
       "      <td>37.76</td>\n",
       "      <td>80.04</td>\n",
       "      <td>60.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>74</td>\n",
       "      <td>58.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>82.56</td>\n",
       "      <td>55.44</td>\n",
       "      <td>73.92</td>\n",
       "      <td>43.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>75</td>\n",
       "      <td>5.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>80.52</td>\n",
       "      <td>46.24</td>\n",
       "      <td>75.84</td>\n",
       "      <td>24.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>75</td>\n",
       "      <td>16.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>76.68</td>\n",
       "      <td>55.76</td>\n",
       "      <td>81.96</td>\n",
       "      <td>72.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>75</td>\n",
       "      <td>24.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>85.92</td>\n",
       "      <td>63.28</td>\n",
       "      <td>81.12</td>\n",
       "      <td>26.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>75</td>\n",
       "      <td>42.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>82.68</td>\n",
       "      <td>33.44</td>\n",
       "      <td>93.48</td>\n",
       "      <td>35.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1334</th>\n",
       "      <td>77</td>\n",
       "      <td>59.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>85.92</td>\n",
       "      <td>45.36</td>\n",
       "      <td>90.60</td>\n",
       "      <td>19.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1352</th>\n",
       "      <td>79</td>\n",
       "      <td>50.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>25.92</td>\n",
       "      <td>68.80</td>\n",
       "      <td>6.96</td>\n",
       "      <td>43.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1356</th>\n",
       "      <td>80</td>\n",
       "      <td>7.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>63.48</td>\n",
       "      <td>38.00</td>\n",
       "      <td>63.72</td>\n",
       "      <td>14.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1368</th>\n",
       "      <td>81</td>\n",
       "      <td>5.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>73.92</td>\n",
       "      <td>50.16</td>\n",
       "      <td>69.96</td>\n",
       "      <td>32.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1370</th>\n",
       "      <td>81</td>\n",
       "      <td>11.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>79.08</td>\n",
       "      <td>43.20</td>\n",
       "      <td>83.40</td>\n",
       "      <td>31.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1387</th>\n",
       "      <td>82</td>\n",
       "      <td>0.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>72.60</td>\n",
       "      <td>31.60</td>\n",
       "      <td>68.64</td>\n",
       "      <td>44.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1394</th>\n",
       "      <td>82</td>\n",
       "      <td>21.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>85.32</td>\n",
       "      <td>60.32</td>\n",
       "      <td>73.92</td>\n",
       "      <td>66.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1397</th>\n",
       "      <td>82</td>\n",
       "      <td>27.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>78.36</td>\n",
       "      <td>57.36</td>\n",
       "      <td>72.96</td>\n",
       "      <td>34.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1406</th>\n",
       "      <td>82</td>\n",
       "      <td>55.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>64.92</td>\n",
       "      <td>19.52</td>\n",
       "      <td>70.32</td>\n",
       "      <td>7.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1437</th>\n",
       "      <td>84</td>\n",
       "      <td>50.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>55.68</td>\n",
       "      <td>53.52</td>\n",
       "      <td>50.04</td>\n",
       "      <td>48.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>85</td>\n",
       "      <td>53.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>101.52</td>\n",
       "      <td>59.60</td>\n",
       "      <td>113.40</td>\n",
       "      <td>38.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1468</th>\n",
       "      <td>86</td>\n",
       "      <td>58.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>71.04</td>\n",
       "      <td>58.64</td>\n",
       "      <td>78.36</td>\n",
       "      <td>61.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1470</th>\n",
       "      <td>87</td>\n",
       "      <td>1.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>71.76</td>\n",
       "      <td>56.48</td>\n",
       "      <td>78.36</td>\n",
       "      <td>49.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1472</th>\n",
       "      <td>87</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>70.56</td>\n",
       "      <td>52.16</td>\n",
       "      <td>66.48</td>\n",
       "      <td>35.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1474</th>\n",
       "      <td>87</td>\n",
       "      <td>10.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>66.84</td>\n",
       "      <td>55.52</td>\n",
       "      <td>73.32</td>\n",
       "      <td>65.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1477</th>\n",
       "      <td>87</td>\n",
       "      <td>20.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>73.92</td>\n",
       "      <td>42.24</td>\n",
       "      <td>87.24</td>\n",
       "      <td>29.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1484</th>\n",
       "      <td>87</td>\n",
       "      <td>32.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>76.20</td>\n",
       "      <td>23.84</td>\n",
       "      <td>65.28</td>\n",
       "      <td>36.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1488</th>\n",
       "      <td>87</td>\n",
       "      <td>46.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>85.80</td>\n",
       "      <td>42.48</td>\n",
       "      <td>94.08</td>\n",
       "      <td>41.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1500</th>\n",
       "      <td>88</td>\n",
       "      <td>6.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>93.60</td>\n",
       "      <td>24.24</td>\n",
       "      <td>109.80</td>\n",
       "      <td>27.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1536</th>\n",
       "      <td>89</td>\n",
       "      <td>16.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>65.52</td>\n",
       "      <td>23.28</td>\n",
       "      <td>75.84</td>\n",
       "      <td>9.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1544</th>\n",
       "      <td>89</td>\n",
       "      <td>52.0</td>\n",
       "      <td>402197.0</td>\n",
       "      <td>Pass</td>\n",
       "      <td>Successful</td>\n",
       "      <td>65.16</td>\n",
       "      <td>27.12</td>\n",
       "      <td>75.48</td>\n",
       "      <td>18.48</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      minute  second  player_id type_display_name outcome_type_display_name  \\\n",
       "28         0    57.0   402197.0              Pass                Successful   \n",
       "52         3    50.0   402197.0              Pass              Unsuccessful   \n",
       "88         5    17.0   402197.0              Pass                Successful   \n",
       "105        6    24.0   402197.0              Pass                Successful   \n",
       "118        6    46.0   402197.0              Pass                Successful   \n",
       "131        7    22.0   402197.0              Pass              Unsuccessful   \n",
       "133        7    24.0   402197.0              Pass                Successful   \n",
       "136        7    33.0   402197.0              Pass                Successful   \n",
       "138        7    36.0   402197.0              Pass                Successful   \n",
       "154        8    20.0   402197.0              Pass                Successful   \n",
       "162        8    59.0   402197.0              Pass                Successful   \n",
       "175        9    40.0   402197.0              Pass                Successful   \n",
       "202       10    39.0   402197.0              Pass                Successful   \n",
       "244       14    39.0   402197.0              Pass                Successful   \n",
       "246       14    46.0   402197.0              Pass                Successful   \n",
       "253       15     4.0   402197.0              Pass                Successful   \n",
       "323       18    59.0   402197.0              Pass                Successful   \n",
       "342       19    40.0   402197.0              Pass                Successful   \n",
       "357       20    24.0   402197.0              Pass                Successful   \n",
       "392       24    51.0   402197.0              Pass                Successful   \n",
       "395       25     0.0   402197.0              Pass                Successful   \n",
       "434       30    32.0   402197.0              Pass                Successful   \n",
       "462       32     4.0   402197.0              Pass                Successful   \n",
       "480       32    49.0   402197.0              Pass                Successful   \n",
       "482       32    57.0   402197.0              Pass                Successful   \n",
       "484       33     6.0   402197.0              Pass                Successful   \n",
       "497       33    33.0   402197.0              Pass                Successful   \n",
       "507       34     5.0   402197.0              Pass                Successful   \n",
       "514       34    27.0   402197.0              Pass              Unsuccessful   \n",
       "539       36    16.0   402197.0              Pass                Successful   \n",
       "547       37    20.0   402197.0              Pass                Successful   \n",
       "550       37    25.0   402197.0              Pass                Successful   \n",
       "567       38    37.0   402197.0              Pass                Successful   \n",
       "571       38    54.0   402197.0              Pass                Successful   \n",
       "581       39     9.0   402197.0              Pass              Unsuccessful   \n",
       "592       39    40.0   402197.0              Pass                Successful   \n",
       "603       40     2.0   402197.0              Pass                Successful   \n",
       "622       41     1.0   402197.0              Pass                Successful   \n",
       "651       42    38.0   402197.0              Pass                Successful   \n",
       "664       43    24.0   402197.0              Pass                Successful   \n",
       "720       46    18.0   402197.0              Pass                Successful   \n",
       "750       47    27.0   402197.0              Pass                Successful   \n",
       "754       47    34.0   402197.0              Pass                Successful   \n",
       "757       47    42.0   402197.0              Pass                Successful   \n",
       "777       48    47.0   402197.0              Pass                Successful   \n",
       "812       46    41.0   402197.0              Pass                Successful   \n",
       "820       47     0.0   402197.0              Pass                Successful   \n",
       "823       47     8.0   402197.0              Pass                Successful   \n",
       "831       47    34.0   402197.0              Pass                Successful   \n",
       "843       48     9.0   402197.0              Pass                Successful   \n",
       "853       48    25.0   402197.0              Pass                Successful   \n",
       "862       48    55.0   402197.0              Pass                Successful   \n",
       "873       49    25.0   402197.0              Pass                Successful   \n",
       "875       49    35.0   402197.0              Pass                Successful   \n",
       "917       51    44.0   402197.0              Pass              Unsuccessful   \n",
       "935       52    54.0   402197.0              Pass                Successful   \n",
       "952       53    22.0   402197.0              Pass                Successful   \n",
       "957       53    52.0   402197.0              Pass                Successful   \n",
       "963       54    15.0   402197.0              Pass                Successful   \n",
       "972       54    36.0   402197.0              Pass                Successful   \n",
       "974       54    41.0   402197.0              Pass              Unsuccessful   \n",
       "979       55     1.0   402197.0              Pass                Successful   \n",
       "995       55    38.0   402197.0              Pass                Successful   \n",
       "1003      55    54.0   402197.0              Pass                Successful   \n",
       "1007      56     3.0   402197.0              Pass              Unsuccessful   \n",
       "1010      56    23.0   402197.0              Pass                Successful   \n",
       "1020      56    46.0   402197.0              Pass                Successful   \n",
       "1022      56    52.0   402197.0              Pass                Successful   \n",
       "1024      57     1.0   402197.0              Pass                Successful   \n",
       "1036      57    18.0   402197.0              Pass                Successful   \n",
       "1054      58     5.0   402197.0              Pass                Successful   \n",
       "1072      59    26.0   402197.0              Pass                Successful   \n",
       "1077      59    43.0   402197.0              Pass              Unsuccessful   \n",
       "1094      61    39.0   402197.0              Pass                Successful   \n",
       "1100      61    50.0   402197.0              Pass                Successful   \n",
       "1105      62     2.0   402197.0              Pass                Successful   \n",
       "1107      62     5.0   402197.0              Pass                Successful   \n",
       "1158      64    42.0   402197.0              Pass              Unsuccessful   \n",
       "1166      65    20.0   402197.0              Pass                Successful   \n",
       "1171      65    34.0   402197.0              Pass                Successful   \n",
       "1211      68    46.0   402197.0              Pass              Unsuccessful   \n",
       "1236      71     8.0   402197.0              Pass                Successful   \n",
       "1271      73    54.0   402197.0              Pass                Successful   \n",
       "1283      74    28.0   402197.0              Pass              Unsuccessful   \n",
       "1287      74    46.0   402197.0              Pass                Successful   \n",
       "1290      74    58.0   402197.0              Pass                Successful   \n",
       "1292      75     5.0   402197.0              Pass                Successful   \n",
       "1297      75    16.0   402197.0              Pass                Successful   \n",
       "1300      75    24.0   402197.0              Pass                Successful   \n",
       "1309      75    42.0   402197.0              Pass                Successful   \n",
       "1334      77    59.0   402197.0              Pass                Successful   \n",
       "1352      79    50.0   402197.0              Pass                Successful   \n",
       "1356      80     7.0   402197.0              Pass                Successful   \n",
       "1368      81     5.0   402197.0              Pass                Successful   \n",
       "1370      81    11.0   402197.0              Pass                Successful   \n",
       "1387      82     0.0   402197.0              Pass                Successful   \n",
       "1394      82    21.0   402197.0              Pass                Successful   \n",
       "1397      82    27.0   402197.0              Pass                Successful   \n",
       "1406      82    55.0   402197.0              Pass                Successful   \n",
       "1437      84    50.0   402197.0              Pass                Successful   \n",
       "1458      85    53.0   402197.0              Pass                Successful   \n",
       "1468      86    58.0   402197.0              Pass                Successful   \n",
       "1470      87     1.0   402197.0              Pass                Successful   \n",
       "1472      87     4.0   402197.0              Pass                Successful   \n",
       "1474      87    10.0   402197.0              Pass                Successful   \n",
       "1477      87    20.0   402197.0              Pass                Successful   \n",
       "1484      87    32.0   402197.0              Pass                Successful   \n",
       "1488      87    46.0   402197.0              Pass                Successful   \n",
       "1500      88     6.0   402197.0              Pass                Successful   \n",
       "1536      89    16.0   402197.0              Pass                Successful   \n",
       "1544      89    52.0   402197.0              Pass                Successful   \n",
       "\n",
       "           x      y   end_x  end_y  \n",
       "28     23.04  62.48   39.12  63.20  \n",
       "52     66.24  30.32   78.72  64.88  \n",
       "88     64.80  59.84   73.80  76.56  \n",
       "105    33.60   6.64   28.92   2.56  \n",
       "118    47.16  64.48   36.36  63.20  \n",
       "131    66.24  17.28   64.20  17.04  \n",
       "133    61.32  14.56   48.84  25.68  \n",
       "136    75.72  15.52   86.40   5.20  \n",
       "138    76.68   5.92   77.16  13.12  \n",
       "154    89.76  27.12  106.56  30.32  \n",
       "162    52.08  20.88   65.16  15.04  \n",
       "175    32.88  51.84   29.88  24.96  \n",
       "202    90.48  55.04   95.64  63.28  \n",
       "244    69.36  29.68   56.28  25.92  \n",
       "246    76.68  27.12   94.92   3.68  \n",
       "253    79.68  55.20   74.40  33.44  \n",
       "323    76.20  52.08   74.16  24.48  \n",
       "342    67.20  16.00   80.16  18.48  \n",
       "357    50.76  54.56   55.92  26.64  \n",
       "392    42.36  45.84   55.32  54.80  \n",
       "395    81.12  52.56  105.84  14.40  \n",
       "434    59.76  40.00   52.56  39.04  \n",
       "462    56.52  67.52   98.40  17.04  \n",
       "480    67.20  48.24   86.88  74.40  \n",
       "482    78.12  58.88   73.08  16.96  \n",
       "484    90.84  56.00  112.08  69.44  \n",
       "497    62.16  59.12   72.24  77.20  \n",
       "507    68.28  65.44   79.68  75.04  \n",
       "514    71.28  34.00  102.48   0.00  \n",
       "539    55.44  52.88   46.32  36.32  \n",
       "547    83.88  32.72  102.24   8.00  \n",
       "550    88.20  33.52   89.52  28.00  \n",
       "567    43.44  33.04   55.44  20.40  \n",
       "571    84.24   6.24   74.16   3.76  \n",
       "581   104.04  54.24  102.60  36.80  \n",
       "592    78.24  58.56   85.08  46.00  \n",
       "603    63.96  47.20   69.48  41.92  \n",
       "622    64.56  28.00   52.44  19.52  \n",
       "651    58.80  80.00   48.24  70.16  \n",
       "664    96.36  80.00   72.84  74.88  \n",
       "720    52.20  66.32   42.84  48.00  \n",
       "750    82.80  47.68   84.96  31.36  \n",
       "754    86.88  46.00   78.36  53.52  \n",
       "757    82.20  52.08   91.08  12.48  \n",
       "777    57.60  36.80   63.48  25.44  \n",
       "812    66.96  57.44   86.76  76.32  \n",
       "820    82.56  63.52   93.60  61.84  \n",
       "823    83.76  65.84   85.32  18.00  \n",
       "831   101.88  74.64   88.80  72.72  \n",
       "843    91.20  66.16  111.60  25.52  \n",
       "853    90.24  53.76  108.72  39.44  \n",
       "862    84.48  45.60   84.96  32.56  \n",
       "873    67.92  55.76   75.84  75.76  \n",
       "875    67.68  55.52   75.48  69.76  \n",
       "917    46.32  75.52   65.16  71.28  \n",
       "935    59.04  37.84   50.40  17.44  \n",
       "952    44.88  36.56   53.52  19.92  \n",
       "957    74.04  25.44   83.64  37.60  \n",
       "963   119.76  79.44  107.52  74.16  \n",
       "972    82.08  67.04   92.52  74.88  \n",
       "974    87.24  59.84  104.52  30.88  \n",
       "979    63.96  46.48   52.08  35.68  \n",
       "995    89.88  68.32   97.56  76.00  \n",
       "1003   88.08  60.48   79.68  38.32  \n",
       "1007   91.08  46.00  104.76  25.44  \n",
       "1010  103.20   5.12   90.24   4.24  \n",
       "1020   66.48  63.76   53.76  55.68  \n",
       "1022   77.04  68.96   95.16  77.28  \n",
       "1024  103.44  68.08  103.20  59.76  \n",
       "1036   96.48  70.40  109.68  76.56  \n",
       "1054   95.16  61.84  104.52  70.72  \n",
       "1072   39.48  40.80   46.80  16.00  \n",
       "1077  111.36  24.48  114.72  71.76  \n",
       "1094   79.80  63.04   75.00  39.28  \n",
       "1100   85.80  38.32   86.64  29.92  \n",
       "1105   82.20  61.28   88.56  49.68  \n",
       "1107   93.84  54.72  105.36  58.88  \n",
       "1158   51.96  60.32   94.92  10.00  \n",
       "1166   73.32  52.08   82.44  43.36  \n",
       "1171   89.64  57.68   88.44  41.76  \n",
       "1211   88.68  73.12  101.28  80.00  \n",
       "1236   72.12  47.92   78.36  51.84  \n",
       "1271   49.44  61.60   45.72  32.56  \n",
       "1283   69.12  54.24   92.28  16.24  \n",
       "1287   77.76  37.76   80.04  60.88  \n",
       "1290   82.56  55.44   73.92  43.44  \n",
       "1292   80.52  46.24   75.84  24.00  \n",
       "1297   76.68  55.76   81.96  72.48  \n",
       "1300   85.92  63.28   81.12  26.96  \n",
       "1309   82.68  33.44   93.48  35.20  \n",
       "1334   85.92  45.36   90.60  19.52  \n",
       "1352   25.92  68.80    6.96  43.68  \n",
       "1356   63.48  38.00   63.72  14.16  \n",
       "1368   73.92  50.16   69.96  32.80  \n",
       "1370   79.08  43.20   83.40  31.36  \n",
       "1387   72.60  31.60   68.64  44.80  \n",
       "1394   85.32  60.32   73.92  66.16  \n",
       "1397   78.36  57.36   72.96  34.40  \n",
       "1406   64.92  19.52   70.32   7.60  \n",
       "1437   55.68  53.52   50.04  48.40  \n",
       "1458  101.52  59.60  113.40  38.48  \n",
       "1468   71.04  58.64   78.36  61.84  \n",
       "1470   71.76  56.48   78.36  49.68  \n",
       "1472   70.56  52.16   66.48  35.68  \n",
       "1474   66.84  55.52   73.32  65.20  \n",
       "1477   73.92  42.24   87.24  29.92  \n",
       "1484   76.20  23.84   65.28  36.16  \n",
       "1488   85.80  42.48   94.08  41.20  \n",
       "1500   93.60  24.24  109.80  27.92  \n",
       "1536   65.52  23.28   75.84   9.76  \n",
       "1544   65.16  27.12   75.48  18.48  "
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "5ba4242b",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_successful = final[final['outcome_type_display_name'] == 'Successful']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "447b86d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_unsuccessful = final[final['outcome_type_display_name'] == 'Unsuccessful']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "6cd17790",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\risha\\anaconda3\\lib\\site-packages\\mplsoccer\\_pitch_plot.py:167: FutureWarning: \n",
      "\n",
      "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
      "This will become an error in seaborn v0.14.0; please update your code.\n",
      "\n",
      "  return sns.kdeplot(x=x, y=y, ax=ax, clip=self.kde_clip, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(104.5, 81.8, 'Foul Won')"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1350x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pitch = Pitch(pitch_type='statsbomb',\n",
    "                      pitch_color='#111d23', line_color='#c7d5cc')\n",
    "fig, ax = pitch.draw(figsize=(13.5,8), constrained_layout=True, tight_layout=False)\n",
    "fig.set_facecolor('#111d23')\n",
    "\n",
    "pitch.draw(ax=ax)\n",
    "#plt.gca().invert_yaxis()\n",
    "\n",
    "kde = pitch.kdeplot(\n",
    "                  final.x,final.y,ax = ax,\n",
    "                  shade = True,\n",
    "                  shade_lowest = False,\n",
    "                  alpha = .5,\n",
    "                  n_levels = 10,\n",
    "                  cmap = 'magma')\n",
    "\n",
    "#plt.scatter(final['x'], final['y'], s = 50, c = 'w')\n",
    "#plt.scatter(touches['x'], touches['y'], s = 50, c = 'w')\n",
    "plt.scatter(recovery['x'], recovery['y'], s= 70, c = '#ffea00', edgecolor = '#000000')\n",
    "plt.scatter(succ_dribble['x'], succ_dribble['y'], s= 70, c = '#dc6601', marker = '>', edgecolor = '#000000')\n",
    "plt.scatter(goal['x'], goal['y'], s= 70, c = 'g', hatch = '////')\n",
    "plt.scatter(missed['x'], missed['y'], s= 70, c = 'r', edgecolor = '#000000')\n",
    "plt.scatter(saved['x'], saved['y'], s= 70, c = 'r', edgecolor = '#000000')\n",
    "plt.scatter(foul['x'], foul['y'], s= 70, c = '#009afd', edgecolor = '#000000')\n",
    "plt.scatter(tackle['x'], tackle['y'], s= 70,c = 'w', marker = ',', edgecolor = '#000000')\n",
    "#plt.scatter(challenge['x'], challenge['y'], s= 70,c = 'w', marker = ',')\n",
    "\n",
    "pitch.arrows(final_successful.x, final_successful.y, final_successful.end_x, final_successful.end_y, width=1,\n",
    "             headwidth=5, headlength=5, color='green', ax=ax, label='Completed Passes')\n",
    "\n",
    "pitch.arrows(final_unsuccessful.x, final_unsuccessful.y, final_unsuccessful.end_x, final_unsuccessful.end_y, width=1,\n",
    "             headwidth=5, headlength=5, color='red', ax=ax, label='Incomplete Passes')\n",
    "\n",
    "pitch.arrows(key_passes.X, key_passes.Y, key_passes.END_X, key_passes.END_Y, width=1.5,\n",
    "             headwidth=5, headlength=5, color='#ffea00', ax=ax, label='Key Passes', linestyle = '----')\n",
    "\n",
    "endnote = \"- Barca Buzz\"\n",
    "plt.figtext(0.8, 0.1, endnote, ha=\"center\", va=\"top\", fontsize=15, color=\"white\")\n",
    "\n",
    "plt.xlim(0,120)\n",
    "plt.ylim(0,85)\n",
    "\n",
    "plt.title(\"Pedri's Heat Map, Passes and Actions vs Benfica.\", c='w', fontsize=15)\n",
    "\n",
    "plt.scatter(x = 10, y = 82.5, s = 50, c = 'g')\n",
    "plt.text(x = 11.5, y = 81.8, s = f'Goal', c = 'g', fontsize = 10)\n",
    "\n",
    "plt.scatter(x = 18, y = 82.5, s = 50, c = 'r')\n",
    "plt.text(x = 19.5, y = 81.8, s = f'Unsuccessful Shots', c = 'r', fontsize = 10)\n",
    "\n",
    "plt.text(x = 39, y = 81.8, s = f'-----> Key Pass', c = '#ffea00', fontsize = 10)\n",
    "\n",
    "plt.scatter(x = 55, y = 82.5, s = 50, c = '#dc6601', marker = '>')\n",
    "plt.text(x = 56.5, y = 81.8, s = f'Successful Dribble', c = '#dc6601', fontsize = 10)\n",
    "\n",
    "plt.scatter(x = 76, y = 82.5, s = 50, c = '#ffea00')\n",
    "plt.text(x = 77.5, y = 81.8, s = f'Ball Recovery', c = '#ffea00', fontsize = 10)\n",
    "\n",
    "plt.scatter(x = 93, y = 82.5, s = 50, c = 'w', marker = ',')\n",
    "plt.text(x = 94.5, y = 81.8, s = f'Tackle', c = 'w', fontsize = 10)\n",
    "\n",
    "plt.scatter(x = 103, y = 82.5, s = 50, c = '#009afd')\n",
    "plt.text(x = 104.5, y = 81.8, s = f'Foul Won', c = '#009afd', fontsize = 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "34464e99",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\risha\\anaconda3\\lib\\site-packages\\mplsoccer\\_pitch_plot.py:167: FutureWarning: \n",
      "\n",
      "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
      "This will become an error in seaborn v0.14.0; please update your code.\n",
      "\n",
      "  return sns.kdeplot(x=x, y=y, ax=ax, clip=self.kde_clip, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, \"Pedri's Heat Map and Passes vs Stade Brestois\")"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1350x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pitch = Pitch(pitch_type='statsbomb',\n",
    "                      pitch_color='#111d23', line_color='#c7d5cc')\n",
    "fig, ax = pitch.draw(figsize=(13.5,8), constrained_layout=True, tight_layout=False)\n",
    "fig.set_facecolor('#111d23')\n",
    "\n",
    "pitch.draw(ax=ax)\n",
    "plt.gca().invert_yaxis()\n",
    "\n",
    "kde = pitch.kdeplot(\n",
    "                  final.x,final.y,ax = ax,\n",
    "                  shade = True,\n",
    "                  shade_lowest = False,\n",
    "                  alpha = .5,\n",
    "                  n_levels = 10,\n",
    "                  cmap = 'magma')\n",
    "\n",
    "pitch.arrows(final_successful.x, final_successful.y, final_successful.end_x, final_successful.end_y, width=2,\n",
    "             headwidth=5, headlength=5, color='green', ax=ax, label='Completed Passes')\n",
    "\n",
    "pitch.arrows(final_unsuccessful.x, final_unsuccessful.y, final_unsuccessful.end_x, final_unsuccessful.end_y, width=2,\n",
    "             headwidth=5, headlength=5, color='red', ax=ax, label='Completed Passes')\n",
    "\n",
    "endnote = \"@Barca_Buzz\"\n",
    "plt.figtext(0.8, 0.1, endnote, ha=\"center\", va=\"top\", fontsize=15, color=\"white\")\n",
    "\n",
    "plt.xlim(0,120)\n",
    "plt.ylim(0,80)\n",
    "\n",
    "plt.title(\"Pedri's Heat Map and Passes vs Stade Brestois\", c='w', fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51c2f4c8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:base] *",
   "language": "python",
   "name": "conda-base-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}