analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NOTEBOOK FOR ANALYSIS**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import warnings\n",
    "import rich\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import silhouette_score\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# Load the dataset\n",
    "df = pd.read_csv('2023-2024/best5leagues_datasetplayers.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Player', 'Nation', 'Squad', 'Age', 'Born', '90s', 'SCA SCA',\n",
       "       'SCA SCA90', 'SCA Types PassLive', 'SCA Types PassDead', 'SCA Types TO',\n",
       "       'SCA Types Sh', 'SCA Types Fld', 'SCA Types Def', 'GCA GCA',\n",
       "       'GCA GCA90', 'GCA Types PassLive', 'GCA Types PassDead', 'GCA Types TO',\n",
       "       'GCA Types Sh', 'GCA Types Fld', 'GCA Types Def', 'Position_2',\n",
       "       'Position', 'League'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Isolate for players who played at least 12 matches\n",
    "\n",
    "df['90s'] = pd.to_numeric(df['90s'], errors='coerce')\n",
    "matches = 12.0\n",
    "filtered_df = df[df['90s'] >= matches] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_players = {}\n",
    "\n",
    "# List of statistics columns to evaluate\n",
    "stats_columns = ['SCA SCA90', 'GCA GCA90', 'SCA Types PassLive', 'GCA Types PassLive', 'GCA Types Def']\n",
    "\n",
    "for col in stats_columns:\n",
    "    filtered_df[col] = pd.to_numeric(filtered_df[col], errors='coerce')\n",
    "\n",
    "for stat in stats_columns:\n",
    "    top_players[stat] = filtered_df.nlargest(5, stat)[['Player', stat]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Top <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> players for SCA SCA90:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Top \u001b[1;36m5\u001b[0m players for SCA SCA90:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">               Player  SCA SCA90\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2611</span>     Kevin Stöger       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.79</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">681</span>   Kevin De Bruyne       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.36</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">697</span>   Ousmane Dembélé       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.05</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1613</span>   James Maddison       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.79</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1192</span>    Jonas Hofmann       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.42</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "               Player  SCA SCA90\n",
       "\u001b[1;36m2611\u001b[0m     Kevin Stöger       \u001b[1;36m7.79\u001b[0m\n",
       "\u001b[1;36m681\u001b[0m   Kevin De Bruyne       \u001b[1;36m7.36\u001b[0m\n",
       "\u001b[1;36m697\u001b[0m   Ousmane Dembélé       \u001b[1;36m7.05\u001b[0m\n",
       "\u001b[1;36m1613\u001b[0m   James Maddison       \u001b[1;36m6.79\u001b[0m\n",
       "\u001b[1;36m1192\u001b[0m    Jonas Hofmann       \u001b[1;36m6.42\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Top <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> players for GCA GCA90:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Top \u001b[1;36m5\u001b[0m players for GCA GCA90:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">               Player  GCA GCA90\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">681</span>   Kevin De Bruyne       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.18</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">697</span>   Ousmane Dembélé       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.14</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1302</span>       Diogo Jota       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.10</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">734</span>       Brahim Díaz       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.05</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2042</span>    Michael Olise       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.99</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "               Player  GCA GCA90\n",
       "\u001b[1;36m681\u001b[0m   Kevin De Bruyne       \u001b[1;36m1.18\u001b[0m\n",
       "\u001b[1;36m697\u001b[0m   Ousmane Dembélé       \u001b[1;36m1.14\u001b[0m\n",
       "\u001b[1;36m1302\u001b[0m       Diogo Jota       \u001b[1;36m1.10\u001b[0m\n",
       "\u001b[1;36m734\u001b[0m       Brahim Díaz       \u001b[1;36m1.05\u001b[0m\n",
       "\u001b[1;36m2042\u001b[0m    Michael Olise       \u001b[1;36m0.99\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Top <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> players for SCA Types PassLive:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Top \u001b[1;36m5\u001b[0m players for SCA Types PassLive:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">               Player  SCA Types PassLive\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2962</span>  Martin Ødegaard                 <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">178</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">895</span>   Bruno Fernandes                 <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">143</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2404</span>      Bukayo Saka                 <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">137</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2611</span>     Kevin Stöger                 <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">131</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2341</span>            Rodri                 <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">130</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "               Player  SCA Types PassLive\n",
       "\u001b[1;36m2962\u001b[0m  Martin Ødegaard                 \u001b[1;36m178\u001b[0m\n",
       "\u001b[1;36m895\u001b[0m   Bruno Fernandes                 \u001b[1;36m143\u001b[0m\n",
       "\u001b[1;36m2404\u001b[0m      Bukayo Saka                 \u001b[1;36m137\u001b[0m\n",
       "\u001b[1;36m2611\u001b[0m     Kevin Stöger                 \u001b[1;36m131\u001b[0m\n",
       "\u001b[1;36m2341\u001b[0m            Rodri                 \u001b[1;36m130\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Top <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> players for GCA Types PassLive:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Top \u001b[1;36m5\u001b[0m players for GCA Types PassLive:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">               Player  GCA Types PassLive\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2107</span>      Cole Palmer                  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">20</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2461</span>            Sávio                  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">19</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2887</span>    Florian Wirtz                  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2962</span>  Martin Ødegaard                  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1506</span>      Rafael Leão                  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "               Player  GCA Types PassLive\n",
       "\u001b[1;36m2107\u001b[0m      Cole Palmer                  \u001b[1;36m20\u001b[0m\n",
       "\u001b[1;36m2461\u001b[0m            Sávio                  \u001b[1;36m19\u001b[0m\n",
       "\u001b[1;36m2887\u001b[0m    Florian Wirtz                  \u001b[1;36m18\u001b[0m\n",
       "\u001b[1;36m2962\u001b[0m  Martin Ødegaard                  \u001b[1;36m18\u001b[0m\n",
       "\u001b[1;36m1506\u001b[0m      Rafael Leão                  \u001b[1;36m17\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Top <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> players for GCA Types Def:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Top \u001b[1;36m5\u001b[0m players for GCA Types Def:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">                 Player  GCA Types Def\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1707</span>   Lautaro Martínez              <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">57</span>    Maghnes Akliouche              <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">121</span>              Antony              <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">850</span>   Youssef En-Nesyri              <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">991</span>        James Garner              <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "                 Player  GCA Types Def\n",
       "\u001b[1;36m1707\u001b[0m   Lautaro Martínez              \u001b[1;36m3\u001b[0m\n",
       "\u001b[1;36m57\u001b[0m    Maghnes Akliouche              \u001b[1;36m2\u001b[0m\n",
       "\u001b[1;36m121\u001b[0m              Antony              \u001b[1;36m2\u001b[0m\n",
       "\u001b[1;36m850\u001b[0m   Youssef En-Nesyri              \u001b[1;36m2\u001b[0m\n",
       "\u001b[1;36m991\u001b[0m        James Garner              \u001b[1;36m2\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for stat, players in top_players.items():\n",
    "    rich.print(f\"Top 5 players for {stat}:\")\n",
    "    rich.print(players)\n",
    "    print(\"\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Aggregated Analysis for top 5 Championships**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "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>Nation</th>\n",
       "      <th>Pos</th>\n",
       "      <th>Age</th>\n",
       "      <th>Playing Time MP</th>\n",
       "      <th>Playing Time Starts</th>\n",
       "      <th>Playing Time Min</th>\n",
       "      <th>Playing Time 90s</th>\n",
       "      <th>Performance Gls</th>\n",
       "      <th>Performance Ast</th>\n",
       "      <th>...</th>\n",
       "      <th>Per 90 Minutes G+A-PK</th>\n",
       "      <th>Per 90 Minutes xG</th>\n",
       "      <th>Per 90 Minutes xAG</th>\n",
       "      <th>Per 90 Minutes xG+xAG</th>\n",
       "      <th>Per 90 Minutes npxG</th>\n",
       "      <th>Per 90 Minutes npxG+xAG</th>\n",
       "      <th>Matches</th>\n",
       "      <th>League</th>\n",
       "      <th>Team</th>\n",
       "      <th>MP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>William Saliba</td>\n",
       "      <td>fr FRA</td>\n",
       "      <td>DF</td>\n",
       "      <td>22.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>38</td>\n",
       "      <td>3420.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.05</td>\n",
       "      <td>Matches</td>\n",
       "      <td>EPL</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Declan Rice</td>\n",
       "      <td>eng ENG</td>\n",
       "      <td>MF</td>\n",
       "      <td>24.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>37</td>\n",
       "      <td>3225.0</td>\n",
       "      <td>35.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.24</td>\n",
       "      <td>Matches</td>\n",
       "      <td>EPL</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Martin Ødegaard</td>\n",
       "      <td>no NOR</td>\n",
       "      <td>MF</td>\n",
       "      <td>24.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>35</td>\n",
       "      <td>3091.0</td>\n",
       "      <td>34.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.45</td>\n",
       "      <td>Matches</td>\n",
       "      <td>EPL</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ben White</td>\n",
       "      <td>eng ENG</td>\n",
       "      <td>DF</td>\n",
       "      <td>25.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>35</td>\n",
       "      <td>2988.0</td>\n",
       "      <td>33.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.15</td>\n",
       "      <td>Matches</td>\n",
       "      <td>EPL</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bukayo Saka</td>\n",
       "      <td>eng ENG</td>\n",
       "      <td>FW</td>\n",
       "      <td>21.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>35</td>\n",
       "      <td>2919.0</td>\n",
       "      <td>32.4</td>\n",
       "      <td>16.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.59</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.65</td>\n",
       "      <td>Matches</td>\n",
       "      <td>EPL</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Player   Nation Pos   Age  Playing Time MP  Playing Time Starts  \\\n",
       "0   William Saliba   fr FRA  DF  22.0             38.0                   38   \n",
       "1      Declan Rice  eng ENG  MF  24.0             38.0                   37   \n",
       "2  Martin Ødegaard   no NOR  MF  24.0             35.0                   35   \n",
       "3        Ben White  eng ENG  DF  25.0             37.0                   35   \n",
       "4      Bukayo Saka  eng ENG  FW  21.0             35.0                   35   \n",
       "\n",
       "   Playing Time Min  Playing Time 90s  Performance Gls  Performance Ast  ...  \\\n",
       "0            3420.0              38.0              2.0              1.0  ...   \n",
       "1            3225.0              35.8              7.0              8.0  ...   \n",
       "2            3091.0              34.3              8.0             10.0  ...   \n",
       "3            2988.0              33.2              4.0              4.0  ...   \n",
       "4            2919.0              32.4             16.0              9.0  ...   \n",
       "\n",
       "   Per 90 Minutes G+A-PK  Per 90 Minutes xG  Per 90 Minutes xAG  \\\n",
       "0                   0.08               0.04                0.01   \n",
       "1                   0.42               0.09                0.15   \n",
       "2                   0.47               0.22                0.28   \n",
       "3                   0.24               0.03                0.11   \n",
       "4                   0.59               0.48                0.32   \n",
       "\n",
       "   Per 90 Minutes xG+xAG  Per 90 Minutes npxG  Per 90 Minutes npxG+xAG  \\\n",
       "0                   0.05                 0.04                     0.05   \n",
       "1                   0.24                 0.09                     0.24   \n",
       "2                   0.50                 0.17                     0.45   \n",
       "3                   0.15                 0.03                     0.15   \n",
       "4                   0.80                 0.33                     0.65   \n",
       "\n",
       "   Matches  League     Team  MP  \n",
       "0  Matches     EPL  Arsenal NaN  \n",
       "1  Matches     EPL  Arsenal NaN  \n",
       "2  Matches     EPL  Arsenal NaN  \n",
       "3  Matches     EPL  Arsenal NaN  \n",
       "4  Matches     EPL  Arsenal NaN  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"2023-2024/combined_players_stats.csv\")\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Player', 'Nation', 'Pos', 'Age', 'Playing Time MP',\n",
       "       'Playing Time Starts', 'Playing Time Min', 'Playing Time 90s',\n",
       "       'Performance Gls', 'Performance Ast', 'Performance G+A',\n",
       "       'Performance G-PK', 'Performance PK', 'Performance PKatt',\n",
       "       'Performance CrdY', 'Performance CrdR', 'Expected xG', 'Expected npxG',\n",
       "       'Expected xAG', 'Expected npxG+xAG', 'Progression PrgC',\n",
       "       'Progression PrgP', 'Progression PrgR', 'Per 90 Minutes Gls',\n",
       "       'Per 90 Minutes Ast', 'Per 90 Minutes G+A', 'Per 90 Minutes G-PK',\n",
       "       'Per 90 Minutes G+A-PK', 'Per 90 Minutes xG', 'Per 90 Minutes xAG',\n",
       "       'Per 90 Minutes xG+xAG', 'Per 90 Minutes npxG',\n",
       "       'Per 90 Minutes npxG+xAG', 'Matches', 'League', 'Team', 'MP'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Playing Time 90s'] = pd.to_numeric(df['Playing Time 90s'], errors='coerce')\n",
    "matches = 12.0\n",
    "df = df[df['Playing Time 90s'] >= matches]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_players = {}\n",
    "\n",
    "# List of statistics columns to evaluate\n",
    "stats_columns = ['Performance Gls', 'Expected xG', 'Per 90 Minutes Gls', 'Per 90 Minutes npxG+xAG', 'Progression PrgP']\n",
    "\n",
    "for col in stats_columns:\n",
    "    df[col] = pd.to_numeric(df[col], errors='coerce')\n",
    "\n",
    "for stat in stats_columns:\n",
    "    top_players[stat] = df.nlargest(5, stat)[['Player', stat]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Top <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> players for Performance Gls:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Top \u001b[1;36m5\u001b[0m players for Performance Gls:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">                Player  Performance Gls\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1636</span>        Harry Kane             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">36.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2029</span>   Serhou Guirassy             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>     Erling Haaland             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2634</span>     Kylian Mbappé             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1106</span>  Lautaro Martínez             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24.0</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "                Player  Performance Gls\n",
       "\u001b[1;36m1636\u001b[0m        Harry Kane             \u001b[1;36m36.0\u001b[0m\n",
       "\u001b[1;36m2029\u001b[0m   Serhou Guirassy             \u001b[1;36m28.0\u001b[0m\n",
       "\u001b[1;36m452\u001b[0m     Erling Haaland             \u001b[1;36m27.0\u001b[0m\n",
       "\u001b[1;36m2634\u001b[0m     Kylian Mbappé             \u001b[1;36m27.0\u001b[0m\n",
       "\u001b[1;36m1106\u001b[0m  Lautaro Martínez             \u001b[1;36m24.0\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Top <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> players for Expected xG:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Top \u001b[1;36m5\u001b[0m players for Expected xG:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">              Player  Expected xG\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1636</span>      Harry Kane         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30.6</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>   Erling Haaland         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29.2</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3119</span>    Artem Dovbyk         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24.2</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1991</span>     Loïs Openda         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22.1</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">373</span>    Mohamed Salah         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">21.2</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "              Player  Expected xG\n",
       "\u001b[1;36m1636\u001b[0m      Harry Kane         \u001b[1;36m30.6\u001b[0m\n",
       "\u001b[1;36m452\u001b[0m   Erling Haaland         \u001b[1;36m29.2\u001b[0m\n",
       "\u001b[1;36m3119\u001b[0m    Artem Dovbyk         \u001b[1;36m24.2\u001b[0m\n",
       "\u001b[1;36m1991\u001b[0m     Loïs Openda         \u001b[1;36m22.1\u001b[0m\n",
       "\u001b[1;36m373\u001b[0m    Mohamed Salah         \u001b[1;36m21.2\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Top <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> players for Per <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span> Minutes Gls:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Top \u001b[1;36m5\u001b[0m players for Per \u001b[1;36m90\u001b[0m Minutes Gls:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">               Player  Per <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span> Minutes Gls\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1636</span>       Harry Kane                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.14</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2029</span>  Serhou Guirassy                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.14</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2634</span>    Kylian Mbappé                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.13</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>    Erling Haaland                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.95</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">524</span>    Alexander Isak                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.84</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "               Player  Per \u001b[1;36m90\u001b[0m Minutes Gls\n",
       "\u001b[1;36m1636\u001b[0m       Harry Kane                \u001b[1;36m1.14\u001b[0m\n",
       "\u001b[1;36m2029\u001b[0m  Serhou Guirassy                \u001b[1;36m1.14\u001b[0m\n",
       "\u001b[1;36m2634\u001b[0m    Kylian Mbappé                \u001b[1;36m1.13\u001b[0m\n",
       "\u001b[1;36m452\u001b[0m    Erling Haaland                \u001b[1;36m0.95\u001b[0m\n",
       "\u001b[1;36m524\u001b[0m    Alexander Isak                \u001b[1;36m0.84\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Top <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> players for Per <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span> Minutes npxG+xAG:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Top \u001b[1;36m5\u001b[0m players for Per \u001b[1;36m90\u001b[0m Minutes npxG+xAG:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">               Player  Per <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span> Minutes npxG+xAG\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1636</span>       Harry Kane                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.05</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">459</span>   Kevin De Bruyne                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.03</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2029</span>  Serhou Guirassy                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.99</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">373</span>     Mohamed Salah                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.97</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>    Erling Haaland                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.96</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "               Player  Per \u001b[1;36m90\u001b[0m Minutes npxG+xAG\n",
       "\u001b[1;36m1636\u001b[0m       Harry Kane                     \u001b[1;36m1.05\u001b[0m\n",
       "\u001b[1;36m459\u001b[0m   Kevin De Bruyne                     \u001b[1;36m1.03\u001b[0m\n",
       "\u001b[1;36m2029\u001b[0m  Serhou Guirassy                     \u001b[1;36m0.99\u001b[0m\n",
       "\u001b[1;36m373\u001b[0m     Mohamed Salah                     \u001b[1;36m0.97\u001b[0m\n",
       "\u001b[1;36m452\u001b[0m    Erling Haaland                     \u001b[1;36m0.96\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Top <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> players for Progression PrgP:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Top \u001b[1;36m5\u001b[0m players for Progression PrgP:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">                   Player  Progression PrgP\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1608</span>         Granit Xhaka             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">392.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">446</span>                 Rodri             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">376.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>         Martin Ødegaard             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">344.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1328</span>  Giovanni Di Lorenzo             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">304.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">147</span>           Pascal Groß             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">302.0</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "                   Player  Progression PrgP\n",
       "\u001b[1;36m1608\u001b[0m         Granit Xhaka             \u001b[1;36m392.0\u001b[0m\n",
       "\u001b[1;36m446\u001b[0m                 Rodri             \u001b[1;36m376.0\u001b[0m\n",
       "\u001b[1;36m2\u001b[0m         Martin Ødegaard             \u001b[1;36m344.0\u001b[0m\n",
       "\u001b[1;36m1328\u001b[0m  Giovanni Di Lorenzo             \u001b[1;36m304.0\u001b[0m\n",
       "\u001b[1;36m147\u001b[0m           Pascal Groß             \u001b[1;36m302.0\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for stat, players in top_players.items():\n",
    "    rich.print(f\"Top 5 players for {stat}:\")\n",
    "    rich.print(players)\n",
    "    print(\"\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "def analize(path_file: str, variables: list, matches_played: float, top_n_players: int):\n",
    "    \"\"\"\n",
    "    Analyzes player statistics from a specific league and compares them to the top players across Europe.\n",
    "\n",
    "    Parameters:\n",
    "    - path_file (str): Path to the CSV file containing player statistics for the specific league.\n",
    "    - variables (list): List of statistical variables to analyze (e.g., ['Goals', 'Assists', 'Shots']).\n",
    "    - matches_played (float): Minimum number of matches played (in 90-minute equivalents) to consider a player.\n",
    "    - top_n_players (int): Number of top players to return for each statistical variable.\n",
    "\n",
    "    Returns:\n",
    "    - tuple: A tuple containing:\n",
    "        - str: A title for the best players of the league.\n",
    "        - dict: A dictionary where keys are the statistical variables and values are DataFrames of the top players \n",
    "                in the league for each variable.\n",
    "        - str: A title for the best players in Europe.\n",
    "        - dict: A dictionary where keys are the statistical variables and values are DataFrames of the top players \n",
    "                across Europe for each variable.\n",
    "    \"\"\"\n",
    "    df = pd.read_csv(path_file)\n",
    "    df['Playing Time 90s'] = pd.to_numeric(df['Playing Time 90s'], errors='coerce')\n",
    "    df = df[df['Playing Time 90s'] >= matches_played]\n",
    "\n",
    "    df_top_players = pd.read_csv(\"2023-2024/combined_players_stats.csv\")\n",
    "    df_top_players['Playing Time 90s'] = pd.to_numeric(df_top_players['Playing Time 90s'], errors='coerce')\n",
    "    df_top_players = df_top_players[df_top_players['Playing Time 90s'] >= matches_played]\n",
    "    \n",
    "    top_players = {}\n",
    "    top_players_5_leagues = {}\n",
    "\n",
    "    for col in variables:\n",
    "        df[col] = pd.to_numeric(df[col], errors='coerce')\n",
    "        df_top_players[col] = pd.to_numeric(df_top_players[col], errors='coerce')\n",
    "    \n",
    "    for stat in variables:\n",
    "        top_players[stat] = df.nlargest(5, stat)[['Player', stat]]\n",
    "        top_players_5_leagues[stat] = df_top_players.nlargest(top_n_players, stat)[['Player', stat]]\n",
    "\n",
    "    return \"Best players of the league\", top_players, \"Best players in Europe\", top_players_5_leagues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">(</span>\n",
       "    <span style=\"color: #008000; text-decoration-color: #008000\">'Best players of the league'</span>,\n",
       "    <span style=\"font-weight: bold\">{</span>\n",
       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Performance Gls'</span>:                 Player  Performance Gls\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">78</span>   Vangelis Pavlidis             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">350</span>       Luuk de Jong             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">156</span>   Santiago Giménez             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>        Brian Brobbey             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>         Sem Steijn             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17.0</span>,\n",
       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Expected xG'</span>:                 Player  Expected xG\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">350</span>       Luuk de Jong         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27.8</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">78</span>   Vangelis Pavlidis         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23.8</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">156</span>   Santiago Giménez         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22.8</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>        Brian Brobbey         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">19.8</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">413</span>   Tobias Lauritsen         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12.9</span>,\n",
       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Per 90 Minutes Gls'</span>:                     Player  Per <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span> Minutes Gls\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">350</span>           Luuk de Jong                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.95</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">78</span>       Vangelis Pavlidis                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.87</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">156</span>       Santiago Giménez                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.87</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">460</span>  Ricky van Wolfswinkel                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.76</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">293</span>          Jizz Hornkamp                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.70</span>,\n",
       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Per 90 Minutes npxG+xAG'</span>:                 Player  Per <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span> Minutes npxG+xAG\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">350</span>       Luuk de Jong                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.02</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>        Brian Brobbey                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.95</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">156</span>   Santiago Giménez                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.93</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">78</span>   Vangelis Pavlidis                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.88</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">162</span>     Yankuba Minteh                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.87</span>,\n",
       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Progression PrgP'</span>:                    Player  Progression PrgP\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">352</span>      Olivier Boscagli             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">374.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">357</span>          Joey Veerman             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">314.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">153</span>          Dávid Hancko             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">272.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">152</span>  Lutsharel Geertruida             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">268.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">256</span>             Thom Haye             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">241.0</span>\n",
       "    <span style=\"font-weight: bold\">}</span>,\n",
       "    <span style=\"color: #008000; text-decoration-color: #008000\">'Best players in Europe'</span>,\n",
       "    <span style=\"font-weight: bold\">{</span>\n",
       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Performance Gls'</span>:                 Player  Performance Gls\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1636</span>        Harry Kane             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">36.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2029</span>   Serhou Guirassy             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>     Erling Haaland             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2634</span>     Kylian Mbappé             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1106</span>  Lautaro Martínez             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24.0</span>,\n",
       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Expected xG'</span>:               Player  Expected xG\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1636</span>      Harry Kane         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30.6</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>   Erling Haaland         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29.2</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3119</span>    Artem Dovbyk         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24.2</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1991</span>     Loïs Openda         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22.1</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">373</span>    Mohamed Salah         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">21.2</span>,\n",
       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Per 90 Minutes Gls'</span>:                Player  Per <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span> Minutes Gls\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1636</span>       Harry Kane                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.14</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2029</span>  Serhou Guirassy                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.14</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2634</span>    Kylian Mbappé                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.13</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>    Erling Haaland                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.95</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">524</span>    Alexander Isak                <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.84</span>,\n",
       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Per 90 Minutes npxG+xAG'</span>:                Player  Per <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span> Minutes npxG+xAG\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1636</span>       Harry Kane                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.05</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">459</span>   Kevin De Bruyne                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.03</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2029</span>  Serhou Guirassy                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.99</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">373</span>     Mohamed Salah                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.97</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>    Erling Haaland                     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.96</span>,\n",
       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Progression PrgP'</span>:                    Player  Progression PrgP\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1608</span>         Granit Xhaka             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">392.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">446</span>                 Rodri             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">376.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>         Martin Ødegaard             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">344.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1328</span>  Giovanni Di Lorenzo             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">304.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">147</span>           Pascal Groß             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">302.0</span>\n",
       "    <span style=\"font-weight: bold\">}</span>\n",
       "<span style=\"font-weight: bold\">)</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m(\u001b[0m\n",
       "    \u001b[32m'Best players of the league'\u001b[0m,\n",
       "    \u001b[1m{\u001b[0m\n",
       "        \u001b[32m'Performance Gls'\u001b[0m:                 Player  Performance Gls\n",
       "\u001b[1;36m78\u001b[0m   Vangelis Pavlidis             \u001b[1;36m29.0\u001b[0m\n",
       "\u001b[1;36m350\u001b[0m       Luuk de Jong             \u001b[1;36m29.0\u001b[0m\n",
       "\u001b[1;36m156\u001b[0m   Santiago Giménez             \u001b[1;36m23.0\u001b[0m\n",
       "\u001b[1;36m2\u001b[0m        Brian Brobbey             \u001b[1;36m18.0\u001b[0m\n",
       "\u001b[1;36m452\u001b[0m         Sem Steijn             \u001b[1;36m17.0\u001b[0m,\n",
       "        \u001b[32m'Expected xG'\u001b[0m:                 Player  Expected xG\n",
       "\u001b[1;36m350\u001b[0m       Luuk de Jong         \u001b[1;36m27.8\u001b[0m\n",
       "\u001b[1;36m78\u001b[0m   Vangelis Pavlidis         \u001b[1;36m23.8\u001b[0m\n",
       "\u001b[1;36m156\u001b[0m   Santiago Giménez         \u001b[1;36m22.8\u001b[0m\n",
       "\u001b[1;36m2\u001b[0m        Brian Brobbey         \u001b[1;36m19.8\u001b[0m\n",
       "\u001b[1;36m413\u001b[0m   Tobias Lauritsen         \u001b[1;36m12.9\u001b[0m,\n",
       "        \u001b[32m'Per 90 Minutes Gls'\u001b[0m:                     Player  Per \u001b[1;36m90\u001b[0m Minutes Gls\n",
       "\u001b[1;36m350\u001b[0m           Luuk de Jong                \u001b[1;36m0.95\u001b[0m\n",
       "\u001b[1;36m78\u001b[0m       Vangelis Pavlidis                \u001b[1;36m0.87\u001b[0m\n",
       "\u001b[1;36m156\u001b[0m       Santiago Giménez                \u001b[1;36m0.87\u001b[0m\n",
       "\u001b[1;36m460\u001b[0m  Ricky van Wolfswinkel                \u001b[1;36m0.76\u001b[0m\n",
       "\u001b[1;36m293\u001b[0m          Jizz Hornkamp                \u001b[1;36m0.70\u001b[0m,\n",
       "        \u001b[32m'Per 90 Minutes npxG+xAG'\u001b[0m:                 Player  Per \u001b[1;36m90\u001b[0m Minutes npxG+xAG\n",
       "\u001b[1;36m350\u001b[0m       Luuk de Jong                     \u001b[1;36m1.02\u001b[0m\n",
       "\u001b[1;36m2\u001b[0m        Brian Brobbey                     \u001b[1;36m0.95\u001b[0m\n",
       "\u001b[1;36m156\u001b[0m   Santiago Giménez                     \u001b[1;36m0.93\u001b[0m\n",
       "\u001b[1;36m78\u001b[0m   Vangelis Pavlidis                     \u001b[1;36m0.88\u001b[0m\n",
       "\u001b[1;36m162\u001b[0m     Yankuba Minteh                     \u001b[1;36m0.87\u001b[0m,\n",
       "        \u001b[32m'Progression PrgP'\u001b[0m:                    Player  Progression PrgP\n",
       "\u001b[1;36m352\u001b[0m      Olivier Boscagli             \u001b[1;36m374.0\u001b[0m\n",
       "\u001b[1;36m357\u001b[0m          Joey Veerman             \u001b[1;36m314.0\u001b[0m\n",
       "\u001b[1;36m153\u001b[0m          Dávid Hancko             \u001b[1;36m272.0\u001b[0m\n",
       "\u001b[1;36m152\u001b[0m  Lutsharel Geertruida             \u001b[1;36m268.0\u001b[0m\n",
       "\u001b[1;36m256\u001b[0m             Thom Haye             \u001b[1;36m241.0\u001b[0m\n",
       "    \u001b[1m}\u001b[0m,\n",
       "    \u001b[32m'Best players in Europe'\u001b[0m,\n",
       "    \u001b[1m{\u001b[0m\n",
       "        \u001b[32m'Performance Gls'\u001b[0m:                 Player  Performance Gls\n",
       "\u001b[1;36m1636\u001b[0m        Harry Kane             \u001b[1;36m36.0\u001b[0m\n",
       "\u001b[1;36m2029\u001b[0m   Serhou Guirassy             \u001b[1;36m28.0\u001b[0m\n",
       "\u001b[1;36m452\u001b[0m     Erling Haaland             \u001b[1;36m27.0\u001b[0m\n",
       "\u001b[1;36m2634\u001b[0m     Kylian Mbappé             \u001b[1;36m27.0\u001b[0m\n",
       "\u001b[1;36m1106\u001b[0m  Lautaro Martínez             \u001b[1;36m24.0\u001b[0m,\n",
       "        \u001b[32m'Expected xG'\u001b[0m:               Player  Expected xG\n",
       "\u001b[1;36m1636\u001b[0m      Harry Kane         \u001b[1;36m30.6\u001b[0m\n",
       "\u001b[1;36m452\u001b[0m   Erling Haaland         \u001b[1;36m29.2\u001b[0m\n",
       "\u001b[1;36m3119\u001b[0m    Artem Dovbyk         \u001b[1;36m24.2\u001b[0m\n",
       "\u001b[1;36m1991\u001b[0m     Loïs Openda         \u001b[1;36m22.1\u001b[0m\n",
       "\u001b[1;36m373\u001b[0m    Mohamed Salah         \u001b[1;36m21.2\u001b[0m,\n",
       "        \u001b[32m'Per 90 Minutes Gls'\u001b[0m:                Player  Per \u001b[1;36m90\u001b[0m Minutes Gls\n",
       "\u001b[1;36m1636\u001b[0m       Harry Kane                \u001b[1;36m1.14\u001b[0m\n",
       "\u001b[1;36m2029\u001b[0m  Serhou Guirassy                \u001b[1;36m1.14\u001b[0m\n",
       "\u001b[1;36m2634\u001b[0m    Kylian Mbappé                \u001b[1;36m1.13\u001b[0m\n",
       "\u001b[1;36m452\u001b[0m    Erling Haaland                \u001b[1;36m0.95\u001b[0m\n",
       "\u001b[1;36m524\u001b[0m    Alexander Isak                \u001b[1;36m0.84\u001b[0m,\n",
       "        \u001b[32m'Per 90 Minutes npxG+xAG'\u001b[0m:                Player  Per \u001b[1;36m90\u001b[0m Minutes npxG+xAG\n",
       "\u001b[1;36m1636\u001b[0m       Harry Kane                     \u001b[1;36m1.05\u001b[0m\n",
       "\u001b[1;36m459\u001b[0m   Kevin De Bruyne                     \u001b[1;36m1.03\u001b[0m\n",
       "\u001b[1;36m2029\u001b[0m  Serhou Guirassy                     \u001b[1;36m0.99\u001b[0m\n",
       "\u001b[1;36m373\u001b[0m     Mohamed Salah                     \u001b[1;36m0.97\u001b[0m\n",
       "\u001b[1;36m452\u001b[0m    Erling Haaland                     \u001b[1;36m0.96\u001b[0m,\n",
       "        \u001b[32m'Progression PrgP'\u001b[0m:                    Player  Progression PrgP\n",
       "\u001b[1;36m1608\u001b[0m         Granit Xhaka             \u001b[1;36m392.0\u001b[0m\n",
       "\u001b[1;36m446\u001b[0m                 Rodri             \u001b[1;36m376.0\u001b[0m\n",
       "\u001b[1;36m2\u001b[0m         Martin Ødegaard             \u001b[1;36m344.0\u001b[0m\n",
       "\u001b[1;36m1328\u001b[0m  Giovanni Di Lorenzo             \u001b[1;36m304.0\u001b[0m\n",
       "\u001b[1;36m147\u001b[0m           Pascal Groß             \u001b[1;36m302.0\u001b[0m\n",
       "    \u001b[1m}\u001b[0m\n",
       "\u001b[1m)\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stats_columns = ['Performance Gls', 'Expected xG', 'Per 90 Minutes Gls', 'Per 90 Minutes npxG+xAG', 'Progression PrgP']\n",
    "\n",
    "rich.print(analize(\"2023-2024/Eredivise/combined_players_stats_Eredivise.csv\",stats_columns, 12, 5 ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "team_comparison = df.groupby('Team').agg({\n",
    "    'Performance Gls': 'sum',\n",
    "    'Performance Ast': 'sum',\n",
    "    'Per 90 Minutes xG': 'mean',\n",
    "    'Per 90 Minutes xAG': 'mean'\n",
    "}).reset_index().sort_values(by='Performance Gls', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14, 8))\n",
    "sns.barplot(x='Team', y='Performance Gls', data=team_comparison)\n",
    "plt.title('Goals by Team')\n",
    "plt.xticks(rotation=90)\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "league_comparison = df.groupby('League').agg({\n",
    "    'Performance Gls': 'sum',\n",
    "    'Performance Ast': 'sum',\n",
    "    'Per 90 Minutes xG': 'mean',\n",
    "    'Per 90 Minutes xAG': 'mean'\n",
    "}).reset_index().sort_values(by='Performance Gls', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14, 8))\n",
    "sns.barplot(x='League', y='Performance Gls', data=league_comparison)\n",
    "plt.title('Goals by league')\n",
    "plt.xticks(rotation=90)\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CCcrKyvK/z+eff66ePXuqUaNG/sdkZWWpR48e/veqdbDP4UCuvPJKlZSU6Prrr5fP59N9993nX3egS3WWLFmiTp06Bfy7/PLLD/gepaWlmjJlinbt2qU1a9bozTff1Lx58yQpqCcPtg21k9L2nw512GGHBVwuV5fPP/9cRxxxhE4//fSA5w0aNMj/98qVK+X1enXWWWcFPLdHjx5q0aKF/zMMZVtq9erVSw8//LCuv/56vfDCC6qqqtKtt96qbt261fn4Jk2aqG3btrrzzjt166236rXXXtO+ffs0duxYHXfccZJqzoz7y1/+EnAGVteuXfX++++rQ4cOWrZsmbp27aoWLVoEvPY555yjyspK/+V7Us0xY39LlixRhw4dZLVa/T132GGH6S9/+Yu/57788ksdccQRATdXz8zMrPe9yM4888yAv202m/744w//2VJDhw7Vl19+6b9c86WXXtKxxx4b1B8Hs2TJEjVt2lSdOnXyb0d1dbX69eunNWvWyOVyyWq16sknn1T37t21detWffrpp3rqqae0YsWKoM+zTZs2ysnJ8f/dpEkTWSyWgGNQbm7uQY9ZAID4wY2cAQBR07hxYxUXF/v/Likp0TnnnKMrrrhCixYt0lFHHSWp5n4UkjR48OA6X2f/+3fs74knntDcuXO1Y8cONWnSRJ07d1ZGRka9f4z89ttv8vl8atKkSdC6Jk2aBL1Oo0aNAv4+7LDD/JcntWzZUk8//bTmz5+vF198UU8++aSys7N10UUX6YYbbvDfv2j/EKb2NaQDBw+SZLVag5bl5eUF3YPlz5o2bRr0XhaLRTt37tTOnTu1b98+Pfroo3r00UeDnnugy5ykmjDplVdekVTzg/OMM85Qs2bN9Morr8jr9eq///2v+vTpo8MPP9z/2U6cOFETJ04Meq1ffvlFUk0PvPnmm3VeNlPbJ7UO9jkcSGpqqs455xytWrVKXbp0UV5enn9d8+bNJSnoHiVdunTRiy++6P/7z5fB/Nn27ds1YcIELV68WCkpKWrVqpV69OghSUH1HWwbaj9Xi8US8Jg/f55/5nQ6lZub6++pWvtva+1rH6rnQ9mWWjNmzNDcuXP11ltv6Z133tFhhx2m3r176+677w4KZSQpJSVFjz/+uB555BG9++67evnll/2h1cSJE5WTk6MdO3YE1P9nLpcrIIzYf1skaefOnf5lf/7u7dixQ1u2bKnzsk+p5hJSl8ul3NzcgPuPSYf+LA70uNperv0cBg0apPvuu0+vvPKKrrzySr311lsaMWJEvV57/+2orKw84HZUVlYqJydHr776qh588EFt27ZNubm56tChQ1AfSgoIqWv9ed8BABIHoQ8AwDBNmjTR+PHj9c9//lOTJk3y32skOztbkvSf//xHjRs3Dnpe7Y/y/b322muaMmWKbrnlFg0ZMsT/Y+qf//ynVq9eXa96jjzySKWkpKiqqipoXWVlZcAZOfVRe4NYr9er5cuX67nnntPcuXPVvn37oP/iH4raG1Pvr6qqSsccc8xBn1cbuNSqrq6W0+lUXl6eGjdurJSUFF1++eV1hm113U+k1qmnnqo5c+bom2++0TfffKNx48apefPm2rNnj7788kstXbrUH/DUfrZjxoxRz549g16r9oyCI488Ur1799Y//vGPoMccfnj4/+9KZWWlHn74YXXo0EEffPCB3n77bf/ZZkcddZS6du2qxYsX6+abb/af9ZWVlRUQWtbVm/u7+eabtWnTJi1YsEBdu3ZVWlqaPB6Pnn/++ZBqrQ17qqqqAnr/z5/nn1mtVjmdTu3bty8g+Nn/nki1+7uqqkqtW7cOeH5lZaU/QGnIthx55JG65ZZbdMstt2jTpk167733NGfOHE2cOFHz588/YM133XWXJkyYoHXr1untt9/Wo48+KovFogkTJujII48Muvm4JH300Ufq0KGDcnJyVFlZGbS+dtmfg7M/19uzZ0+NGTOmzvVpaWmyWCxyOp2qrq4OOBvwUJ9FrT8Hs7XHmtogq3Hjxho4cKDeeustFRUVye12B9zrrD6OPPJIFRYW6oEHHqhzfcuWLfXll1/q1ltv1fDhw3XllVf6g+SpU6fWeSYlAMA8uLwLAGCogQMHqk+fPnr99df9l5LUnkHgdDpVXFzs/7d9+3b9+9//rvMH1vLly5Wdna3S0lJ/4LNr1y4tX7484KyZP5/1sL/MzEx17txZb731VsDkpN9++00ffvihunfvXu/tWrBggfr16yev16u0tDSddNJJuueeeyTVTAgKx/LlywOCnzVr1mjr1q0HvamwVDNNbP8bRL/zzjvau3evevXqpaysLHXs2FGbNm0K2OfHHXecHn74Yf9UoP1/6NYqLi7WUUcdpTlz5ig9PV2dO3dWfn6+WrdurVmzZmnPnj36y1/+Iklq3bq18vLytHXr1oD3sVqtmj59un9SUs+ePfXdd9+pQ4cO/sd07txZCxYs0LvvvhvW/pNqbkSdmpqqBQsW6LTTTtPEiRMDwoTaSWFTp06t80wWl8vlPyvpQJYvXy6bzaZevXopLS1NUs2lbtLBz+T6sxNPPFGSgm7w+8EHHxz0eT179tTevXv1/vvv+5f5fD4tXrzY/3dJSYnS0tL0+uuvBzz3yy+/1E8//eS/FCvUbfnxxx/Vt29ff82tW7fWVVddpd69ex+w/7/66iv17t1bX3/9tVJSUtShQwfdeOONKioq8j+nR48e+vTTTwMuQVq7dq1GjBihb775RieccIK++uqroGl2r776qpo2bapWrVoddH99//33OvbYYwN685VXXtGLL76o1NRUnXTSSdq7d2/APvR6vQe8/PHPPvzww4C/33jjDWVkZKikpMS/bNiwYfrf//6n//znP+rdu3edZ/bt78/HtJ49e2rbtm3Ky8sL2I5PP/1UZWVlSk1N1VdffaV9+/bpuuuu879+dXW1/zK2UPoTAJBYONMHAGC422+/Xeecc47uvfdevfTSS2rXrp3OOecc3Xnnnfrxxx/VuXNnff/995oxY4ZatmypwsLCoNfo0qWLnn32WU2ZMkX9+vXTL7/8oscee0xVVVUB96PIzs7WV199pSVLlqhjx45Br/Ovf/1LV155pUaMGKGLLrpIf/zxh+bPny+v16tRo0bVe5tOPPFEPfDAAxo1apQuueQSpaamqry8XGlpaf4pVg3l8XhUWlqqa665Rrt27dKMGTNUVFQUdF+WP6usrNR1112n4cOHa/PmzXrwwQd18skn+8Oim266SSNGjNC//vUvnXPOOaqurtbjjz+uVatW6dprr5VUcxaBVPPjNScnR+3bt/ff9+Tll1/WKaec4j8Tp1evXnr22WfVo0cP/1lSqampuvHGG/2hS79+/bRz507NmTNHDofDf0nKtddeqwsuuEAjR47UhRdeqPT0dD333HNavHixZs6cGdb+e/nll/X+++9r+vTpys3N1fjx4zVo0CD/xDhJ6tOnj+68805NnjxZK1eu1N/+9jcde+yxcrvdWrZsmRYuXKg9e/b4R9jXpUuXLnrttdfUqVMnHX300VqxYoXmz5+vlJSUQ05a21+rVq10/vnna8aMGdq7d686dOigV155RevXrz/o80444QSdfPLJGjdunP8soRdffFHr16/3X56Um5urESNGaPbs2TriiCPUr18/bd26Vf/+97/Vtm1b/e1vf2vQtrRo0UJHH3207r33Xv3+++865phjtGbNGn300UcaOXJknfV27NhRjRo10pgxY3TdddepSZMm+uyzz/Ttt9/69/O1116r888/XyNHjvRPlXvooYfUpUsXnXzyyercubNeffVVXX755Ro9erRyc3P18ssv6/PPP9d999130ND38ssv1yuvvKLLL79cV1xxhSwWi9588009//zzGjt2rCTppJNO0imnnKI77rhDv/76q1q0aKEnn3xS27dvP+hlZ7XsdrusVqt69+6tTz75RM8995z++c9/BlxC1b17dx177LFatmyZf/Lgwfz5mDZkyBA9/fTT+sc//qGrr75azZo102effaZHH31Ul1xyiY444gh16dJFknT33Xdr6NChcrlceuaZZ7Ru3TpJNfc3q+uyLgBA4iP0AQAYrnXr1ho+fLgef/xxPfvss7rkkks0efJkzZs3T+Xl5fr555+Vl5enQYMG6YYbbqjzbJO//e1v2rp1qxYuXKj/+7//k9VqVd++fXXRRRfpzjvv1MaNG9WmTRtdfPHFWrNmja666ipNnjxZ+fn5Aa9z0kkn6YknntDMmTN10003KS0tTT169ND999/vv5lsfbRv315z587V7NmzddNNN6m6ulqdO3fW448/HnQZTah69OihE088UePGjZNUc4PfMWPG+M/AOJCLLrpIv/32m0aNGqW0tDSdffbZuuWWW/wBwCmnnKLHHntMs2bN0vXXX68jjjhCnTp10hNPPKHjjz9eknTcccfprLPO0jPPPKP//ve//jNE+vbtq5dfflm9evXyv19t6HPqqacG1HHeeeepcePGKisr03PPPafMzEx169ZNDzzwgP9yovbt2+uZZ57RjBkzNGbMGPl8PhUVFWn27Nk67bTTGrzvHA6HJk2apL59+/pDsqOPPlo33nij7r33Xr3++uv+5RdffLF69uypZ599Vk888YR+/vlnpaam6thjj9Ull1yi888//6BnYUyZMkX33HOP/wyvwsJCTZw4Ua+++qr/5sz1NWHCBDVp0kRPP/20XC6X+vTpo6uvvloPPfTQQZ83Y8YMTZkyRdOnT9fevXt12mmn6cILL9TLL7/sf0xtwPL000/rueeeU25urgYOHKgbbrjBf++WhmzLrFmz9OCDD+rf//63nE6nmjVrptGjRx/wHjXp6el6/PHHNX36dE2aNEk7d+5UYWGh7r77bg0ZMkRSTTD01FNPafr06brhhhuUlZWlvn376uabb1ZaWpqaNm2qZ599VtOnT9e9996rP/74Q+3bt9ecOXMO2TdWq1Xl5eW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AEBXFxcVKS0s74HrThj779u3T3r17ddhhhyklJSXW5QAAAAAAAESEz+fTvn37dPjhh+uwww585x7Thj4AAAAAAADJjBs5AwAAAAAAmBChDwAAAAAAgAkR+gAAAAAAAJgQoQ8AAAAAAIAJEfoAAAAAAACYEKEPAAAAAACACRH6AAAAAAAAmBChD+T1enXWWWdp6dKlB3zM2rVrdd5556mkpERDhw7VmjVrDKwQZlCfPrvmmmvUrl27gH8ffPCBgVUiUTkcDl1//fXq2bOn+vTpo8mTJ2vPnj11PpbjGRoqlD7jeIaG2rJli6688kp17dpVp556qsrKyg74WI5nCEcovcYxDeEaMWKEbrvttgOu/+yzz3TWWWeppKREl156qSoqKgysztwIfZLcnj17dNNNN2nDhg0HfIzb7daIESPUo0cPLVq0SF27dtXIkSPldrsNrBSJrD59JkkbN27UtGnT9Mknn/j/nXzyyQZViUTl8/l0/fXXy+Px6JlnntGMGTP0wQcf6KGHHgp6LMczNFQofSZxPEPD7Nu3TyNGjJDFYtFLL72kiRMn6pFHHtFrr70W9FiOZwhHKL0mcUxDeN544w199NFHB1z/008/adSoURoyZIhefPFFHXXUUbr22mvl8/kMrNK8CH2S2Hfffae///3v+uGHHw76uDfffFPp6ekaM2aM2rRpo3Hjxqlx48Z6++23DaoUiay+feb1erV161YVFxeradOm/n9paWkGVYpEtWnTJq1cuVKTJ0/Wcccdpx49euj666/X66+/HvRYjmdoqFD6jOMZGqqqqkodOnTQXXfdpcLCQvXt21cnnXSSli9fHvRYjmcIRyi9xjEN4dixY4emTp2q4uLiAz7mhRdeUOfOnXXFFVfouOOO0+TJk/Xjjz9q2bJlBlZqXoQ+SWzZsmXq1auXnnvuuYM+btWqVerevbtSUlIkSSkpKerWrZtWrlxpQJVIdPXts02bNiklJUUFBQUGVQazaNq0qcrKytSkSZOA5b///nvQYzmeoaFC6TOOZ2io/Px8PfTQQ8rKypLP59Py5cv1xRdfqGfPnkGP5XiGcITSaxzTEI77779f5557rtq2bXvAx6xatUo9evTw/52RkaFOnTpxPIuQw2NdAGLnoosuqtfjKisrg76keXl5h7xUB5Dq32ebNm1SVlaWxowZo2XLlunoo4/Wddddp759+0a5QiS67Oxs9enTx//3vn379PTTT+vEE08MeizHMzRUKH3G8QyR0L9/f/3000/q16+fBgwYELSe4xki5VC9xjENDbVkyRJ9+eWXeu2113TXXXcd8HGVlZXKz88PWJaXl6eff/45yhUmB870wSF5PJ6g0zfT0tLk9XpjVBHMaNOmTdq9e7dOOeUUlZWVqW/fvrrmmmu0evXqWJeGBDNt2jStXbtWN954Y9A6jmeIlIP1GcczRMLMmTM1d+5cffvtt5o8eXLQeo5niJRD9RrHNDTEnj17NGHCBI0fP16NGjU66GM5nkUXZ/rgkNLT04O+cF6v95BfXiAU1157rYYPH66cnBxJUvv27fXNN9/o+eefP+g1wMD+pk2bpv/85z+aMWOGioqKgtZzPEMkHKrPOJ4hEmp7Zc+ePbr55ps1ZsyYgB9FHM8QKYfqNY5paIhZs2apc+fOAWfJHsiBjmfZ2dnRKi+pcKYPDslqtaqqqipgWVVVVdApeEA4DjvsMP//M1GrdevWcjgcMaoIieaee+7RE088oWnTptV5errE8Qzhq0+fcTxDQ1VVVWnx4sUBy9q2bas//vgj6P5RHM8QjlB6jWMaGuKNN97Q4sWL1bVrV3Xt2lWvvfaaXnvtNXXt2jXosQc6njVt2tSock2N0AeHVFJSoq+++so/Ms/n82nFihUqKSmJcWUwk9tuu01jx44NWLZu3Tq1bt06RhUhkcyaNUvl5eV68MEHNXjw4AM+juMZwlHfPuN4hobaunWrRo8eHfBjes2aNTrqqKN01FFHBTyW4xnCEUqvcUxDQzz11FN67bXX9PLLL+vll19W//791b9/f7388stBjy0pKQmYHOfxeLR27VqOZxFC6IM6VVZWavfu3ZKkgQMHaufOnZo0aZK+++47TZo0SR6PR2eeeWaMq0Si27/P+vfv7/8fhi1btmjWrFlavny5LrnkkhhXiXi3ceNGzZkzR1dddZW6d++uyspK/z+J4xkiI5Q+43iGhiouLlanTp10++2367vvvtNHH32kadOm6eqrr5bE8QyRE0qvcUxDQ7Ro0UKtWrXy/2vcuLEaN26sVq1aqbq6WpWVlf5LuoYOHaoVK1Zo/vz52rBhg8aOHauWLVuqV69eMd4KcyD0QZ1OOeUUvfnmm5KkrKwszZs3T8uXL9eQIUO0atUqzZ8/X5mZmTGuEolu/z6z2WyaMGGCHnnkEZ111ll6//33VVZWppYtW8a4SsS79957T9XV1XrkkUd0yimnBPyTOJ4hMkLpM45naKjU1FTNmTNHGRkZOv/88zVu3DgNHz5cl156qSSOZ4icUHqNYxoibdu2bTrllFP01VdfSZJatmyphx9+WAsXLtSwYcO0Y8cOzZ49WykpKTGu1BxSfLXnhAIAAAAAAMA0ONMHAAAAAADAhAh9AAAAAAAATIjQBwAAAAAAwIQIfQAAAAAAAEyI0AcAAAAAAMCECH0AAAD+v/buPqbq8v/j+FPxZq64cegS0BAtSTvcWJqabhpoFKmpWOncSWAKWCKJJhMQxfuSmjfD0JmZEkoqkgbaEquhGWOoeJPHG0KSYyo5QTQVPPD7w/lZJ7Bvc5SO3+uxnY1zXdfn/bmuzz+wN9f7+oiIiIg0Q0r6iIiIiIiIiIg0Q0r6iIiIiIiIiIg0Q0r6iIiISJMJCAjA29u70U9BQcFDm1dNTQ1ffvnlA1+flZVFQEDA3445f/48CQkJDB48GJPJxEsvvcTChQuprKx84Pv+WXl5Od7e3pSXlz/Q9WfOnMFsNv/j8QUFBURERNC/f398fHwYMWIE69evp66uzhgzc+ZMDhw48EDzERERkX9fq4c9AREREWle4uPjCQ4ObtDu7Oz8EGZzV05ODmlpabz55pv/SnyLxcLEiRMxmUx8/PHHuLm5UVZWxooVKwgLC2Pr1q20avVw/+yaP38+77777j8au2PHDhITE5kwYQKxsbE4OjpSVFRESkoKVquVOXPmABAdHc2UKVPIzs6mTZs2/+b0RURE5AEo6SMiIiJNytHRkY4dOz7sadipr6//V+MnJibi5+fHmjVraNGiBQDu7u74+PgQGBhIXl4eQUFB/+oc/k5hYSEVFRX079//f479/fffWbBgATExMURERBjtHh4euLu7Yzabeeedd3B1dcXT0xN3d3dyc3MZNWrUv7gCEREReRAq7xIREZH/TElJCSaTiezsbOBu2VVQUBCLFy8G7paHbdiwgREjRuDv709ERAQVFRXG9adPn8ZsNuPr60tQUBBffPGFXfyvvvqKV155BT8/P8aNG8fPP/9MQUEBs2fPxmq1GuVR9fX1pKamMmjQIPr06UNUVBQXLlww4ly6dIlJkybh7+/P6NGj+fXXX++7plOnTnHs2DGio6ONhM89jz/+ONu3b2fYsGFGW1ZWFq+++iq+vr6MGTOGwsJCu/tOmzaNvn37YjKZGD16NEVFRY3eNzc3l6CgIHx8fAgODmbv3r33nePmzZsZOnQoALdv3yYoKIjZs2cb/XFxcYSEhGCz2di9ezetWrUiLCysQZw+ffrwzTff4OrqarQFBASwZcuW+95bREREHh4lfUREROQ/0717dyIiIkhJSeH69eukpqZSV1fH9OnTjTGrVq1i0qRJZGZmcvPmTaKjowG4desWkydP5vnnn2fnzp3ExcWxevVqI4GUn59PQkICEydOZOfOnZhMJiIjI+nduzfx8fF06tSJ/fv34+bmRnp6Ort27eKjjz4iMzMTV1dXwsPDqa2tBSAmJoa6ujq2bt3K5MmT+fzzz++7puLiYtq1a4fJZGq0v3PnzrRsefdPrqysLBYsWEBkZCTZ2dm8+OKLREREcOnSJeDuGTk2m40tW7aQnZ3NE088wbx58xrEvHLlCrNmzSIyMpI9e/YQEhJCbGxso+cH1dfXc+DAAQYOHAhA27ZtSU5OJjs7m6NHj/Ljjz+Sk5PDkiVLcHBw4MiRI/j6+tK6detG1/Pkk0/afR84cCDFxcVcu3btvs9IREREHg6Vd4mIiEiTmjt3LgsWLLBrc3d3JycnB4CoqCh2795NQkICeXl5rF+/nnbt2hljQ0JCeP311wFYvHgxQ4cO5fTp0xQXF+Pq6sp7770HQNeuXbFarWzcuJFRo0aRmZnJ8OHDGT9+PACzZs2idevWVFVV4ejoiIODg1F2tm7dOubOnUu/fv2Au+fdDBo0iPz8fLp06cLhw4f57rvvcHd35+mnn+b48ePs2bOn0fVevXoVR0dHu10+K1eu5LPPPjO+jxgxgvnz57Np0ybMZrNRCjVz5kwKCwtJT08nNjaWoUOHEhQURKdOnQCYMGGCXYnVPZcuXaK2tpZOnTrh4eFBeHg43t7etG3btsHY8vJyKisr6datm9HWv39/Ro0axaJFi7hy5QpTpkyhR48eAFRWVuLi4mIX4+233+bYsWPG9+TkZEaOHAlAly5daNWqFSdPnjSep4iIiDwalPQRERGRJjVt2jRefvllu7Y/H2Lcpk0bkpOTMZvNhISE8MILL9iNfe6554yfu3TpgouLCyUlJfzyyy9YLBZ69+5t9NtsNhwcHAAoLS1l3LhxdveJi4trML8bN25w8eJFpk+fbuzAgbs7ic6dO8ft27dxcXHB3d3d6PPx8blv0sfJyYnq6mq7NrPZbCSuUlJSqKmpAe6Wt/31MGV/f39KSkpo0aIF48ePJzc3l0OHDlFaWsrx48ft3pZ1T8+ePRkyZAhhYWF4eXkRGBjIG2+8YZc8u+fq1asAtG/f3q49Li6OoKAg2rdvb5dYamw9H374Ibdv3zbWdufOHaOvZcuWODs7c+XKlUafj4iIiDw8SvqIiIhIk7p3wO/fsVgsODg4cPjwYWpqauze/PTXt1zZbDZatmzJnTt3GDBgAElJSY3G/Kdvx7LZbACsWLECLy8vuz5nZ2cOHjzY4ODn+5U6Afj5+XHz5k0sFgvPPPMMcDfBci/J8thjjxljG9uJY7PZqKuro66ujvDwcK5du0ZwcDABAQHU1tYyderUBte0aNGCNWvWcPToUfLy8vj222/JyMggIyODnj17NjrPvyaPLly4wI0bN7h58ybl5eXGs/Dz8yMtLc0uoXZv5xE0/pzr6ursEmgiIiLyaNBvZxEREflPXbx4keXLl7N06VJqa2tJS0uz67dYLMbPZWVlVFdX4+3tjZeXF6WlpXTu3BlPT088PT05cuQImzZtAsDT09PuWpvNRkBAAEVFRXalV05OTri6ulJRUWHEcXNzY9myZZSWltKjRw+qqqooKyszrjl58uR919OrVy98fHxYvXp1g776+nq7g6i9vLwoLi62G1NcXIyXlxdnz56lsLCQDRs2EBUVxZAhQ7h8+bIR589KSkr44IMP8PX1Zfr06eTk5ODm5kZ+fn6DOXTo0AHA7rwfm81GYmIib731FsOGDSMpKcm4x2uvvUZNTQ0ZGRkNYl2/fp0bN27YtdXV1VFVVWXcR0RERB4dSvqIiIhIk6qurqaioqLB548//gDungfTu3dvRo4cSXx8PGvXruXs2bPG9Rs3biQvLw+LxUJ8fDwDBw6ka9eujBw5klu3bpGUlERJSQk//PADixYtMt4kZTab2blzJzt27KCsrIwlS5ZQX1/Ps88+S7t27aiqquLcuXPcuXOH0NBQli9fzr59+zh37hyJiYkcOnSIbt260b17dwYMGEB8fDwWi4W9e/eSnp7+t2teunQpRUVFREVF8dNPP2G1WsnPzyc0NJSDBw/i7+8PQGhoKOnp6WRnZ1NaWkpKSgoWi4WxY8fi5OREy5YtycnJwWq1smfPHlatWgVglIfd4+TkxObNm1m9ejXnz5/n+++/x2q10qtXrwZzc3Nzo3379pw6dcruGV+8eJGYmBhmzZrF8ePH2bZtGwAdO3Zk4cKFLFu2jKVLl3LixAnOnz9PdnY2o0ePpr6+nqeeesqIVVJSAmDschIREZFHR4v6v/7rSEREROQBBQQEYLVaG+2LiYmhe/fuzJgxg127dhnlRJGRkVy7do2MjAwCAwMZNmwY+/fv58KFCwwePJjk5GScnZ0BOHHiBIsXL+bo0aO4uLgwduxYoqOjjdKibdu2kZaWRkVFBSaTiaSkJLy9vamsrCQ8PJwzZ86QkZFBr169WLlyJdu3b+f69euYTCYSEhKM0qirV68yZ84c9u/fj7u7O8HBwWRlZbFv3777rv3y5cusXbuWffv2cfnyZVxcXBgwYADh4eF2JVcbN25kw4YNVFRU0LNnT95//3369u0LQGZmJqmpqVRXV+Pl5UV4eDhxcXGkp6fTsWNHAgMDycvLo3PnzuTn55OSkkJpaSmurq6EhoYyceLERuc2Y8YMPDw8iI2NxWq1Mnz4cObMmcOYMWMA+PTTT1mzZg25ubnGjp1jx46xbt06ioqKqKysxMPDg8DAQMLCwowDsQG2bNnC119//T8TYyIiIvLfU9JHREREHhkBAQFMnTrVSEZI0ygoKCAhIYG9e/c2eWyz2czYsWONg6tFRETk0aHyLhEREZFmrl+/fnTo0IEDBw40adySkhJ+++03goODmzSuiIiINA0lfURERET+H5g3bx6ffPJJk8ZMTU0lKSnpb99uJiIiIg+PyrtERERERERERJoh7fQREREREREREWmGlPQREREREREREWmGlPQREREREREREWmGlPQREREREREREWmGlPQREREREREREWmGlPQREREREREREWmGlPQREREREREREWmGlPQREREREREREWmG/g9VwfWVos+/xQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "team_xg_vs_goals = df.groupby('Team').agg({\n",
    "    'Performance Gls': 'sum',\n",
    "    'Per 90 Minutes xG': 'sum'\n",
    "}).reset_index()\n",
    "\n",
    "\n",
    "plt.figure(figsize=(14, 8))\n",
    "sns.scatterplot(x='Per 90 Minutes xG', y='Performance Gls', data=team_xg_vs_goals, color='darkblue')\n",
    "plt.title('Relationship between xG and goals scored by team')\n",
    "plt.xlabel('Expected Goals (xG)')\n",
    "plt.ylabel('Goals by Team')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Numero ottimale di cluster: 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "features = df[['Per 90 Minutes xG', 'Per 90 Minutes xAG', 'Performance Gls', 'Performance Ast']]\n",
    "features = features.dropna()  \n",
    "\n",
    "scaler = StandardScaler()\n",
    "scaled_features = scaler.fit_transform(features)\n",
    "\n",
    "silhouette_scores = {}\n",
    "K = range(2, 11)  \n",
    "for k in K:\n",
    "    kmeans = KMeans(n_clusters=k, random_state=42)\n",
    "    kmeans.fit(scaled_features)\n",
    "    score = silhouette_score(scaled_features, kmeans.labels_)\n",
    "    silhouette_scores[k] = score\n",
    "\n",
    "plt.style.use('dark_background')\n",
    "sns.set_style(\"whitegrid\")\n",
    "plt.figure(figsize=(14, 8))\n",
    "plt.plot(list(silhouette_scores.keys()), list(silhouette_scores.values()), 'bx-')\n",
    "plt.xlabel('Number of cluster')\n",
    "plt.ylabel('Silhouette Score')\n",
    "plt.title('Silhouette for best n of luster')\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "\n",
    "k_optimal = max(silhouette_scores, key=silhouette_scores.get)\n",
    "print(f'Numero ottimale di cluster: {k_optimal}')\n",
    "kmeans = KMeans(n_clusters=k_optimal, random_state=30)\n",
    "df['Cluster'] = kmeans.fit_predict(scaled_features)\n",
    "\n",
    "\n",
    "plt.figure(figsize=(14, 8))\n",
    "sns.scatterplot(x=scaled_features[:, 0], y=scaled_features[:, 1], hue=df['Cluster'], palette='viridis')\n",
    "plt.title('Cluster Analysis for players')\n",
    "plt.xlabel('Per 90 Minutes xG (Standardized)')\n",
    "plt.ylabel('Per 90 Minutes xAG (Standardized)')\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Cluster composition:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Cluster composition:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Cluster\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1119</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">347</span>\n",
       "Name: count, dtype: int64\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Cluster\n",
       "\u001b[1;36m0\u001b[0m    \u001b[1;36m1119\u001b[0m\n",
       "\u001b[1;36m1\u001b[0m     \u001b[1;36m347\u001b[0m\n",
       "Name: count, dtype: int64\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Stas by cluster:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Stas by cluster:\n"
      ]
     },
     "metadata": {},
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">  Cluster Per <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span> Minutes xG           Per <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span> Minutes xAG            \\\n",
       "                       mean       std               mean       std   \n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>          <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.070009</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.069941</span>           <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.062109</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.053150</span>   \n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>          <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.319914</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.169715</span>           <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.192363</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.092284</span>   \n",
       "\n",
       "  Performance Gls           Performance Ast            \n",
       "             mean       std            mean       std  \n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.294906</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.544996</span>        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.191242</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.345859</span>  \n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.948127</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.199785</span>        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.876081</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.755799</span>  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "  Cluster Per \u001b[1;36m90\u001b[0m Minutes xG           Per \u001b[1;36m90\u001b[0m Minutes xAG            \\\n",
       "                       mean       std               mean       std   \n",
       "\u001b[1;36m0\u001b[0m       \u001b[1;36m0\u001b[0m          \u001b[1;36m0.070009\u001b[0m  \u001b[1;36m0.069941\u001b[0m           \u001b[1;36m0.062109\u001b[0m  \u001b[1;36m0.053150\u001b[0m   \n",
       "\u001b[1;36m1\u001b[0m       \u001b[1;36m1\u001b[0m          \u001b[1;36m0.319914\u001b[0m  \u001b[1;36m0.169715\u001b[0m           \u001b[1;36m0.192363\u001b[0m  \u001b[1;36m0.092284\u001b[0m   \n",
       "\n",
       "  Performance Gls           Performance Ast            \n",
       "             mean       std            mean       std  \n",
       "\u001b[1;36m0\u001b[0m        \u001b[1;36m1.294906\u001b[0m  \u001b[1;36m1.544996\u001b[0m        \u001b[1;36m1.191242\u001b[0m  \u001b[1;36m1.345859\u001b[0m  \n",
       "\u001b[1;36m1\u001b[0m        \u001b[1;36m7.948127\u001b[0m  \u001b[1;36m5.199785\u001b[0m        \u001b[1;36m4.876081\u001b[0m  \u001b[1;36m2.755799\u001b[0m  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cluster_composition = df['Cluster'].value_counts().sort_index()\n",
    "rich.print(\"Cluster composition:\")\n",
    "rich.print(cluster_composition)\n",
    "\n",
    "\n",
    "cluster_stats = df.groupby('Cluster').agg({\n",
    "    'Per 90 Minutes xG': ['mean', 'std'],\n",
    "    'Per 90 Minutes xAG': ['mean', 'std'],\n",
    "    'Performance Gls': ['mean', 'std'],\n",
    "    'Performance Ast': ['mean', 'std']\n",
    "}).reset_index()\n",
    "\n",
    "rich.print(\"Stas by cluster:\")\n",
    "rich.print(cluster_stats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Best <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> players by goals for each cluster:\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Best \u001b[1;36m5\u001b[0m players by goals for each cluster:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">               Player                 Team  Cluster  Performance Gls\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>  Callum Hudson-Odoi    Nottingham Forest        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>              <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>          Tim Skarke         Darmstadt <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">98</span>        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>              <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>     Odsonne Édouard       Crystal Palace        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>              <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>     Scott McTominay    Manchester United        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>              <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>        Tomáš Souček      West Ham United        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>              <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>          Harry Kane        Bayern Munich        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">36.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span>     Serhou Guirassy            Stuttgart        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span>      Erling Haaland      Manchester City        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>       Kylian Mbappé  Paris Saint Germain        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27.0</span>\n",
       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span>    Lautaro Martínez       Internazionale        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>             <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24.0</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "               Player                 Team  Cluster  Performance Gls\n",
       "\u001b[1;36m0\u001b[0m  Callum Hudson-Odoi    Nottingham Forest        \u001b[1;36m0\u001b[0m              \u001b[1;36m8.0\u001b[0m\n",
       "\u001b[1;36m1\u001b[0m          Tim Skarke         Darmstadt \u001b[1;36m98\u001b[0m        \u001b[1;36m0\u001b[0m              \u001b[1;36m8.0\u001b[0m\n",
       "\u001b[1;36m2\u001b[0m     Odsonne Édouard       Crystal Palace        \u001b[1;36m0\u001b[0m              \u001b[1;36m7.0\u001b[0m\n",
       "\u001b[1;36m3\u001b[0m     Scott McTominay    Manchester United        \u001b[1;36m0\u001b[0m              \u001b[1;36m7.0\u001b[0m\n",
       "\u001b[1;36m4\u001b[0m        Tomáš Souček      West Ham United        \u001b[1;36m0\u001b[0m              \u001b[1;36m7.0\u001b[0m\n",
       "\u001b[1;36m5\u001b[0m          Harry Kane        Bayern Munich        \u001b[1;36m1\u001b[0m             \u001b[1;36m36.0\u001b[0m\n",
       "\u001b[1;36m6\u001b[0m     Serhou Guirassy            Stuttgart        \u001b[1;36m1\u001b[0m             \u001b[1;36m28.0\u001b[0m\n",
       "\u001b[1;36m7\u001b[0m      Erling Haaland      Manchester City        \u001b[1;36m1\u001b[0m             \u001b[1;36m27.0\u001b[0m\n",
       "\u001b[1;36m8\u001b[0m       Kylian Mbappé  Paris Saint Germain        \u001b[1;36m1\u001b[0m             \u001b[1;36m27.0\u001b[0m\n",
       "\u001b[1;36m9\u001b[0m    Lautaro Martínez       Internazionale        \u001b[1;36m1\u001b[0m             \u001b[1;36m24.0\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_players_per_cluster = df.groupby('Cluster').apply(lambda x: x.nlargest(5, 'Performance Gls')).reset_index(drop=True)\n",
    "\n",
    "rich.print(\"Best 5 players by goals for each cluster:\")\n",
    "rich.print(top_players_per_cluster[['Player', 'Team', 'Cluster', 'Performance Gls']])\n"
   ]
  }
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