diff --git a/content/posts/dota-compendium-2024-quest/data/compendium_logs.csv b/content/posts/dota-compendium-2024-quest/data/compendium_logs.csv
new file mode 100644
index 0000000..7b05fbf
--- /dev/null
+++ b/content/posts/dota-compendium-2024-quest/data/compendium_logs.csv
@@ -0,0 +1,201 @@
+level,date,description,points,total
+234,29/9/2024,Used Compendium Point Booster Item,"8,000",234600
+226,29/9/2024,Used Compendium Point Booster Item,"8,000",226600
+218,29/9/2024,Lost Turbo Match,50,218600
+218,29/9/2024,First Win of the Day,"1,500",218550
+217,29/9/2024,Won Turbo Match,150,217050
+216,29/9/2024,Won Turbo Match,150,216900
+216,28/9/2024,Won Turbo Match,150,216750
+216,28/9/2024,First Win of the Day,"1,500",216600
+215,28/9/2024,Won Turbo Match,150,215100
+214,28/9/2024,Lost Turbo Match,50,214950
+214,28/9/2024,Won Turbo Match,150,214900
+214,27/9/2024,Lost Turbo Match,50,214750
+214,27/9/2024,Won Turbo Match,150,214700
+214,27/9/2024,Lost Turbo Match,50,214550
+214,27/9/2024,Lost Turbo Match,50,214500
+214,27/9/2024,Won Turbo Match,150,214450
+214,2719/2024,First Win of the Day,"1,500",214300
+212,27/9/2024,Won Turbo Match,150,212800
+212,27/9/2024,Lost Turbo Match,50,212650
+212,26/9/2024,First Win of the Day,550,212600
+212,26/9/2024,Won Turbo Match,150,212050
+211,25/9/2024,Lost Turbo Match,50,211900
+211,25/9/2024,Lost Turbo Match,50,211850
+211,25/9/2024,Won Turbo Match,150,211800
+211,25/9/2024,Won Turbo Match,150,211650
+211,25/9/2024,Won Turbo Match,150,211500
+211,25/9/2024,First Win of the Day,"1,500",211350
+209,25/9/2024,Won Turbo Match,150,209850
+209,24/9/2024,Lost Turbo Match,50,209700
+209,24/9/2024,First Win of the Day,"1,500",209650
+208,24/9/2024,Won Turbo Match,150,208150
+208,23/9/2024,Lost Turbo Match,50,208000
+207,23/9/2024,First Win of the Day,"1,500",207950
+206,23/9/2024,Won Turbo Match,150,206450
+206,23/9/2024,Lost Turbo Match,50,206300
+206,22/9/2024,Won Turbo Match,150,206250
+2U6,22/9/2024,Won Turbo Match,150,206100
+205,22/9/2024,Won Turbo Match,150,205950
+205,22/9/2024,First Win of the Day,"1,500",205800
+204,22/9/2024,Won Turbo Match,150,204300
+204,21/9/2024,First Win of the Day,"1,500",204150
+202,21/9/2024,Won Turbo Match,150,202650
+202,21/9/2024,Lost Turbo Match,50,202500
+ZUZ,21/9/2024,Lost lurbo Match,50,202450
+202,20/9/2024,Lost Turbo Match,50,202400
+202,20/9/2024,Lost Turbo Match,50,202350
+202,20/9/2024,First Win of the Day,"1,500",202300
+200,20/9/2024,Won Turbo Match,150,200800
+200,20/9/2024,Lost Turbo Match,50,200650
+200,19/9/2024,First Win of the Day,"1,400",200600
+199,19/9/2024,Won Turbo Match,150,199200
+199,19/9/2024,Lost Turbo Match,50,199050
+199,18/9/2024,First Win of the Day,"1,500",199000
+197,18/9/2024,Won Turbo Match,150,197500
+19/,17/9/2024,Won Turbo Match,150,197350
+197,17/9/2024,First Win of the Day,"1,500",197200
+195,17/9/2024,Won Turbo Match,150,195700
+195,17/9/2024,Lost Turbo Match,50,195550
+195,17/9/2024,Lost Turbo Match,50,195500
+195,16/9/2024,First Win of the Day,"1,500",195450
+193,16/9/2024,Won Turbo Match,150,193950
+193,16/9/2024,Lost Turbo Match,50,193800
+193,16/9/2024,Lost Turbo Match,50,193750
+iv3s,16/9/2024,Fantasy Reward: Top 1 percent,"25,000",193700
+168,16/9/2024,Lost Turbo Match,50,168700
+168,15/9/2024,Correct Event Prediction,"5,000",168650
+163,15/9/2024,First Win of the Day,"1,500",163650
+162,15/9/2024,Won Turbo Match,150,162150
+162,15/9/2024,Lost Turbo Match,50,162000
+161,14/9/2024,Bingo Reward,750,161950
+161,14/9/2024,bingo Keward,750,161200
+160,14/9/2024,Bingo Reward,750,160450
+159,14/9/2024,Bingo Reward,750,159700
+158,14/9/2024,First Win of the Day,"1,500",158950
+157,14/9/2024,Won Turbo Match,150,157450
+157,14/9/2024,Lost Turbo Match,50,157300
+157,14/9/2024,Bingo Reward,750,157250
+156,14/9/2024,Bingo Reward,750,156500
+155,14/9/2024,Bingo Reward,750,155750
+155,14/9/2024,Bingo Reward,750,155000
+154,14/9/2024,Bingo Reward,750,154250
+153,14/9/2024,Bingo Reward,750,153500
+152,14/9/2024,Correct Event Prediction,"8,000",152750
+144,13/9/2024,First Win of the Day,"1,500",144750
+143,13/9/2024,Won Turbo Match,150,143250
+143,12/9/2024,Won Turbo Match,150,143100
+142,12/9/2024,First Win of the Day,"1,500",142950
+141,12/9/2024,Won Turbo Match,150,141450
+141,12/9/2024,Lost Turbo Match,50,141300
+141,11/9/2024,Lost Turbo Match,50,141250
+141,11/9/2024,Lost Turbo Match,50,141200
+141,11/9/2024,Lost Turbo Match,50,141150
+141,11/9/2024,Fantasy Reward: Top 10 percent,"18,000",141100
+123,10/9/2024,Won Turbo Match,150,123100
+122,10/9/2024,Won Turbo Match,150,122950
+122,10/9/2024,First Win of the Day,"1,500",122800
+121,10/9/2024,Won Turbo Match,150,121300
+121,9/9/2024,First Win of the Day,"1,500",121150
+119,9/9/2024,Won Turbo Match,150,119650
+119,9/9/2024,Bingo Reward,750,119500
+118,9/9/2024,Bingo Reward,750,118750
+118,9/9/2024,Bingo Reward,750,118000
+117,9/9/2024,Bingo Reward,750,117250
+116,9/91/2024,Bingo Reward,750,116500
+115,9/9/2024,Bingo Reward,750,115750
+115,9/9/2024,Bingo Reward,750,115000
+114,9/9/2024,Bingo Reward,750,114250
+113,8/9/2024,Lost Turbo Match,50,113500
+113,8/9/2024,First Win of the Day,"1,500",113450
+111,8/9/2024,Won Turbo Match,150,111950
+111,7/9/2024,Won Turbo Match,150,111800
+111,7/9/2024,Won Turbo Match,150,111650
+111,7/9/2024,First Win of the Day,"1,500",111500
+110,71912024,Won Turbo Match,150,110000
+109,7/9/2024,Won Turbo Match,150,109850
+109,7/9/2024,Lost Turbo Match,50,109700
+109,6/9/2024,First Win of the Day,"1,500",109650
+108,6/9/2024,Won Turbo Match,150,108150
+108,6/9/2024,Bingo Reward,750,108000
+107,6/9/2024,Bingo Reward,750,107250
+106,6/9/2024,Bingo Reward,750,106500
+105,6/9/2024,Bingo Reward,750,105750
+105,6/9/2024,Bingo Reward,750,105000
+104,6/9/2024,Bingo Reward,750,104250
+103,6/9/2024,Bingo Reward,750,103500
+102,6/9/2024,Bingo Reward,750,102750
+1UzZ,6/9/2024,Bingo Reward,750,102000
+101,6/9/2024,Bingo Reward,750,101250
+1U0U,6/9/2024,Bingo Reward,750,100500
+99,6/9/2024,Bingo Reward,750,99750
+99,6/9/2024,Fantasy Reward: Top 1 percent,"25,000",99000
+74,5/9/2024,First Win of the Day,450,74000
+73,5/9/2024,Won Turbo Match,150,73550
+73,4/9/2024,Lost Turbo Match,50,73400
+73,4/9/2024,Lost Turbo Match,50,73350
+73,4/9/2024,Lost Turbo Match,50,73300
+73,4/9/2024,First Win of the Day,"1,500",73250
+71,4/9/2024,Won Turbo Match,150,71750
+71,4/9/2024,Lost Turbo Match,50,71600
+71,3/9/2024,Won Turbo Match,150,71550
+71,3/9/2024,First Win of the Day,"1,500",71400
+69,3/9/2024,Won Turbo Match,150,69900
+69,3/9/2024,Lost Turbo Match,50,69750
+69,2/9/2024,Won Turbo Match,150,69700
+6y,2/9/2024,Lost Turbo Match,50,69550
+69,2/9/2024,First Win of the Day,"1,500",69500
+68,2/9/2024,Won Turbo Match,150,68000
+67,2/9/2024,Lost Turbo Match,50,67850
+67,1/9/2024,Won Turbo Match,150,67800
+67,1/9/2024,Won Turbo Match,150,67650
+67,1/9/2024,First Win of the Day,"1,500",67500
+66,1/9/2024,Won Turbo Match,150,66000
+65,79/2024,Lost Turbo Match,50,65850
+65,31/8/2024,Won Turbo Match,150,65800
+65,31/8/2024,Lost Turbo Match,50,65650
+65,31/8/2024,Won Turbo Match,150,65600
+65,31/8/2024,First Win of the Day,"1,500",65450
+63,31/8/2024,Won Turbo Match,150,63950
+63,30/8/2024,Won Turbo Match,150,63800
+63,30/8/2024,First Win of the Day,"1,500",63650
+62,30/8/2024,Won Turbo Match,150,62150
+62,28/8/2024,First Win of the Day,"1,500",62000
+6U,28/8/2024,Won Turbo Match,150,60500
+60,28/8/2024,Lost Turbo Match,50,60350
+60,27/8/2024,Won Turbo Match,150,60300
+60,27/8/2024,Won Turbo Match,150,60150
+60,27/8/2024,First Win of the Day,"1,500",60000
+58,27/8/2024,Won Turbo Match,150,58500
+58,26/8/2024,Won Turbo Match,150,58350
+58,26/8/2024,First Win of the Day,"1,500",58200
+56,26/8/2024,Won Turbo Match,150,56700
+56,26/8/2024,Lost Turbo Match,50,56550
+56,26/8/2024,Lost Turbo Match,50,56500
+56,26/8/2024,Lost Turbo Match,50,56450
+56,25/8/2024,Lost Turbo Match,50,56400
+56,25/8/2024,Lost Turbo Match,50,56350
+56,25/8/2024,First Win of the Day,"1,500",56300
+54,25/8/2024,Won Turbo Match,150,54800
+54,25/8/2024,Lost Turbo Match,50,54650
+54,25/8/2024,Lost Turbo Match,50,54600
+54,25/8/2024,Lost Turbo Match,50,54550
+54,24/8/2024,Lost Turbo Match,50,54500
+54,24/8/2024,Won Turbo Match,150,54450
+54,24/8/2024,Won Turbo Match,150,54300
+54,24/8/2024,Won Turbo Match,150,54150
+54,24/8/2024,Lost Turbo Match,50,54000
+53,24/8/2024,Lost Turbo Match,50,53950
+53,24/8/2024,Lost Turbo Match,50,53900
+53,24/8/2024,Won Turbo Match,150,53850
+53,24/8/2024,Lost Turbo Match,50,53700
+53,24/8/2024,First Win of the Day,"1,500",53650
+52,24/8/2024,Won Turbo Match,150,52150
+52,23/8/2024,Lost Turbo Match,50,52000
+51,23/8/2024,Lost Turbo Match,50,51950
+51,23/8/2024,Lost Turbo Match,50,51900
+51,23/8/2024,Won Turbo Match,150,51850
+51,23/8/2024,First Win of the Day,"1,500",51700
+50,23/8/2024,Won Turbo Match,150,50200
+50,23/8/2024,Lost Turbo Match,50,50050
+50,23/8/2024,Activated Compendium,"50,000",50000
diff --git a/content/posts/dota-compendium-2024-quest/data/dota2-player-analysis.ipynb b/content/posts/dota-compendium-2024-quest/data/dota2-player-analysis.ipynb
new file mode 100644
index 0000000..a7ead42
--- /dev/null
+++ b/content/posts/dota-compendium-2024-quest/data/dota2-player-analysis.ipynb
@@ -0,0 +1,2137 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "e6567cb2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import requests\n",
+ "import random\n",
+ "import json\n",
+ "import os\n",
+ "import time\n",
+ "from http.cookiejar import LWPCookieJar\n",
+ "from datetime import datetime, timezone, timedelta\n",
+ "import pytz\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.dates as mdates\n",
+ "import matplotlib.animation as animation\n",
+ "from matplotlib.colors import LinearSegmentedColormap\n",
+ "from matplotlib.patches import Circle\n",
+ "from typing import List, Dict, Any, Optional\n",
+ "import seaborn as sns\n",
+ "import numpy as np\n",
+ "from collections import Counter\n",
+ "from scipy.interpolate import interp1d\n",
+ "\n",
+ "%matplotlib inline"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "0c705123",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "STEAM_ID = 340440597 # Replace with the desired Steam ID\n",
+ "API_TOKEN = \"\"\n",
+ "MAX_MATCHES = 100 # Set to None to fetch all available matches"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "id": "0944cb82",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "################################################################################################################\n",
+ "# #\n",
+ "# Use with care, don't bombard with multiple requests as it will lead to ban by cloudflare security #\n",
+ "# or worse, ban from the platform itself #\n",
+ "# #\n",
+ "# #\n",
+ "################################################################################################################\n",
+ "class MatchFetcher:\n",
+ " def __init__(self, steam_id: int, token: str, data_dir: str = \"data\"):\n",
+ " self.steam_id = steam_id\n",
+ " self.token = token\n",
+ " self.data_dir = data_dir\n",
+ " self.matches_file = os.path.join(data_dir, f\"matches_{steam_id}.json\")\n",
+ " self.session = self._setup_session()\n",
+ "\n",
+ " # Create data directory if it doesn't exist\n",
+ " os.makedirs(data_dir, exist_ok=True)\n",
+ "\n",
+ " def _setup_session(self):\n",
+ " session = requests.Session()\n",
+ " cookie_file = os.path.join(self.data_dir, \"stratz_cookies.txt\")\n",
+ " session.cookies = LWPCookieJar(cookie_file)\n",
+ "\n",
+ " # Load existing cookies if they exist\n",
+ " if os.path.exists(cookie_file):\n",
+ " try:\n",
+ " session.cookies.load(ignore_discard=True)\n",
+ " except Exception as e:\n",
+ " print(f\"Could not load cookies: {e}\")\n",
+ "\n",
+ " return session\n",
+ "\n",
+ " def _load_cached_matches(self) -> Dict:\n",
+ " \"\"\"Load matches from local cache file\"\"\"\n",
+ " if os.path.exists(self.matches_file):\n",
+ " try:\n",
+ " with open(self.matches_file, 'r') as f:\n",
+ " data = json.load(f)\n",
+ " print(f\"Loaded {len(data['matches'])} matches from cache\")\n",
+ " return data\n",
+ " except Exception as e:\n",
+ " print(f\"Error loading cached matches: {e}\")\n",
+ " return {\"matches\": [], \"last_updated\": None}\n",
+ "\n",
+ " def _save_matches(self, matches: List[Dict]):\n",
+ " \"\"\"Save matches to local cache file\"\"\"\n",
+ " data = {\n",
+ " \"matches\": matches,\n",
+ " \"last_updated\": datetime.now().isoformat(),\n",
+ " \"steam_id\": self.steam_id,\n",
+ " \"total_matches\": len(matches)\n",
+ " }\n",
+ " try:\n",
+ " with open(self.matches_file, 'w') as f:\n",
+ " json.dump(data, f, indent=2)\n",
+ " print(f\"Saved {len(matches)} matches to {self.matches_file}\")\n",
+ " except Exception as e:\n",
+ " print(f\"Error saving matches: {e}\")\n",
+ "\n",
+ " def fetch_matches(self, batch_size: int = 20, max_matches: int = None, force_refresh: bool = False) -> List[Dict[Any, Any]]:\n",
+ " \"\"\"\n",
+ " Fetch matches with caching support\n",
+ "\n",
+ " Args:\n",
+ " batch_size: Number of matches to fetch per request\n",
+ " max_matches: Maximum number of matches to fetch in total\n",
+ " force_refresh: If True, ignore cache and fetch fresh data\n",
+ " \"\"\"\n",
+ " # Check cache first if not forcing refresh\n",
+ " if not force_refresh:\n",
+ " cached_data = self._load_cached_matches()\n",
+ " if cached_data[\"matches\"]:\n",
+ " if max_matches:\n",
+ " return cached_data[\"matches\"][:max_matches]\n",
+ " return cached_data[\"matches\"]\n",
+ "\n",
+ " # Common headers for all requests\n",
+ " base_headers = {\n",
+ " \"Host\": \"api.stratz.com\",\n",
+ " \"User-Agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:131.0) Gecko/20100101 Firefox/131.0\",\n",
+ " \"Accept\": \"*/*\",\n",
+ " \"Accept-Language\": \"en-US,en;q=0.5\",\n",
+ " \"Accept-Encoding\": \"gzip, deflate, br, zstd\",\n",
+ " \"Connection\": \"keep-alive\",\n",
+ " \"Sec-Fetch-Dest\": \"empty\",\n",
+ " \"Sec-Fetch-Mode\": \"no-cors\",\n",
+ " \"Sec-Fetch-Site\": \"same-site\",\n",
+ " \"Sec-GPC\": \"1\",\n",
+ " \"TE\": \"trailers\",\n",
+ " \"Pragma\": \"no-cache\",\n",
+ " \"Cache-Control\": \"no-cache\"\n",
+ " }\n",
+ "\n",
+ " query = \"\"\"\n",
+ " query PlayerMatchesSummary($request: PlayerMatchesRequestType!, $steamId: Long!) {\n",
+ " player(steamAccountId: $steamId) {\n",
+ " steamAccountId\n",
+ " matches(request: $request) {\n",
+ " ...MatchRowSummary\n",
+ " players(steamAccountId: $steamId) {\n",
+ " ...MatchRowSummaryPlayer\n",
+ " __typename\n",
+ " }\n",
+ " __typename\n",
+ " }\n",
+ " __typename\n",
+ " }\n",
+ " }\n",
+ " fragment MatchRowBase on MatchType {\n",
+ " id\n",
+ " rank\n",
+ " lobbyType\n",
+ " gameMode\n",
+ " endDateTime\n",
+ " durationSeconds\n",
+ " allPlayers: players {\n",
+ " partyId\n",
+ " __typename\n",
+ " }\n",
+ " league {\n",
+ " id\n",
+ " displayName\n",
+ " __typename\n",
+ " }\n",
+ " analysisOutcome\n",
+ " __typename\n",
+ " }\n",
+ " fragment MatchRowBasePlayer on MatchPlayerType {\n",
+ " steamAccountId\n",
+ " heroId\n",
+ " role\n",
+ " lane\n",
+ " level\n",
+ " isVictory\n",
+ " isRadiant\n",
+ " partyId\n",
+ " __typename\n",
+ " }\n",
+ " fragment MatchRowSummary on MatchType {\n",
+ " ...MatchRowBase\n",
+ " bottomLaneOutcome\n",
+ " midLaneOutcome\n",
+ " topLaneOutcome\n",
+ " pickBans {\n",
+ " heroId\n",
+ " isCaptain\n",
+ " __typename\n",
+ " }\n",
+ " __typename\n",
+ " }\n",
+ " fragment MatchRowSummaryPlayer on MatchPlayerType {\n",
+ " ...MatchRowBasePlayer\n",
+ " imp\n",
+ " award\n",
+ " kills\n",
+ " deaths\n",
+ " assists\n",
+ " item0Id\n",
+ " item1Id\n",
+ " item2Id\n",
+ " item3Id\n",
+ " item4Id\n",
+ " item5Id\n",
+ " __typename\n",
+ " }\n",
+ " \"\"\"\n",
+ "\n",
+ " all_matches = []\n",
+ " last_match_id = None\n",
+ " retries = 3\n",
+ "\n",
+ " while True:\n",
+ " variables = {\n",
+ " \"steamId\": self.steam_id,\n",
+ " \"request\": {\n",
+ " \"skip\": 0,\n",
+ " \"take\": batch_size\n",
+ " }\n",
+ " }\n",
+ " if last_match_id:\n",
+ " variables[\"request\"][\"before\"] = last_match_id\n",
+ "\n",
+ " payload = {\n",
+ " \"operationName\": \"PlayerMatchesSummary\",\n",
+ " \"variables\": variables,\n",
+ " \"query\": query\n",
+ " }\n",
+ "\n",
+ " # API request headers\n",
+ " api_headers = base_headers.copy()\n",
+ " api_headers.update({\n",
+ " \"Referer\": \"https://stratz.com/\",\n",
+ " \"Origin\": \"https://stratz.com\",\n",
+ " \"content-type\": \"application/json\",\n",
+ " \"authorization\": f\"Bearer {self.token}\"\n",
+ " })\n",
+ "\n",
+ " for attempt in range(retries):\n",
+ " try:\n",
+ " response = self.session.post(\n",
+ " \"https://api.stratz.com/graphql\",\n",
+ " json=payload,\n",
+ " headers=api_headers\n",
+ " )\n",
+ " print(f\"API Response Status: {response.status_code}\")\n",
+ "\n",
+ " response.raise_for_status()\n",
+ " data = response.json()\n",
+ " break\n",
+ "\n",
+ " except Exception as e:\n",
+ " print(f\"Request failed (attempt {attempt + 1}): {e}\")\n",
+ " if attempt == retries - 1:\n",
+ " # Save what we have if we're giving up\n",
+ " if all_matches:\n",
+ " self._save_matches(all_matches)\n",
+ " return all_matches\n",
+ "\n",
+ " wait_time = (2 ** attempt) * 5\n",
+ " print(f\"Waiting {wait_time} seconds before retry...\")\n",
+ " time.sleep(wait_time)\n",
+ " continue\n",
+ "\n",
+ " if \"errors\" in data:\n",
+ " print(f\"GraphQL Error: {data['errors']}\")\n",
+ " break\n",
+ "\n",
+ " matches = data[\"data\"][\"player\"][\"matches\"]\n",
+ " if not matches:\n",
+ " break\n",
+ "\n",
+ " all_matches.extend(matches)\n",
+ " print(f\"Fetched {len(all_matches)} matches so far.\")\n",
+ "\n",
+ " if max_matches and len(all_matches) >= max_matches:\n",
+ " all_matches = all_matches[:max_matches]\n",
+ " break\n",
+ "\n",
+ " last_match_id = matches[-1][\"id\"]\n",
+ " time.sleep(random.uniform(10, 15))\n",
+ "\n",
+ " # Save matches to file\n",
+ " self._save_matches(all_matches)\n",
+ "\n",
+ " return all_matches"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 101,
+ "id": "eb3ab0c3",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "API Response Status: 403\n",
+ "Request failed (attempt 1): 403 Client Error: Forbidden for url: https://api.stratz.com/graphql\n",
+ "\n",
+ "Fetched a total of 0 matches\n"
+ ]
+ }
+ ],
+ "source": [
+ "def fetch_matches(steam_id: int, token: str, batch_size: int = 20, max_matches: int = None, force_refresh: bool = False) -> List[Dict[Any, Any]]:\n",
+ " \"\"\"Convenience function to maintain backwards compatibility\"\"\"\n",
+ " fetcher = MatchFetcher(steam_id, token)\n",
+ " return fetcher.fetch_matches(batch_size, max_matches, force_refresh)\n",
+ "\n",
+ "matches = fetch_matches(STEAM_ID, API_TOKEN, batch_size=100, max_matches=MAX_MATCHES)\n",
+ "print(f\"\\nFetched a total of {len(matches)} matches\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "425d54b6",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Loaded 3977 matches from data/matches_340440597.json\n",
+ "Last updated: 2024-10-22T20:47:35.012296\n",
+ "Found 3977 matches\n"
+ ]
+ }
+ ],
+ "source": [
+ "def load_matches(steam_id: int, data_dir: str = \"data\") -> Optional[List[Dict]]:\n",
+ " \"\"\"\n",
+ " Load matches from stored JSON file for a given Steam ID\n",
+ " \n",
+ " Args:\n",
+ " steam_id: Steam ID of the player\n",
+ " data_dir: Directory where match data is stored\n",
+ " \n",
+ " Returns:\n",
+ " List of matches if file exists and is valid, None otherwise\n",
+ " \"\"\"\n",
+ " file_path = os.path.join(data_dir, f\"matches_{steam_id}.json\")\n",
+ " \n",
+ " if not os.path.exists(file_path):\n",
+ " print(f\"No stored matches found for Steam ID {steam_id}\")\n",
+ " return None\n",
+ " \n",
+ " try:\n",
+ " with open(file_path, 'r') as f:\n",
+ " data = json.load(f)\n",
+ " matches = data.get('matches', [])\n",
+ " print(f\"Loaded {len(matches)} matches from {file_path}\")\n",
+ " print(f\"Last updated: {data.get('last_updated', 'unknown')}\")\n",
+ " return matches\n",
+ " \n",
+ " except Exception as e:\n",
+ " print(f\"Error loading matches: {e}\")\n",
+ " return None\n",
+ "\n",
+ "\n",
+ "matches = load_matches(steam_id=340440597)\n",
+ "if matches:\n",
+ " print(f\"Found {len(matches)} matches\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "defcd1d1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def process_matches(matches: List[Dict[Any, Any]]) -> pd.DataFrame:\n",
+ " kolkata_tz = pytz.timezone('Asia/Kolkata')\n",
+ " \n",
+ " data = []\n",
+ " for match in matches:\n",
+ " end_date = datetime.fromtimestamp(match['endDateTime'], tz=timezone.utc).astimezone(kolkata_tz).date()\n",
+ " data.append({\n",
+ " 'date': end_date,\n",
+ " 'match_id': match['id'],\n",
+ " 'duration': match['durationSeconds'],\n",
+ " 'is_victory': match['players'][0]['isVictory'],\n",
+ " 'kills': match['players'][0]['kills'],\n",
+ " 'hero_id': match['players'][0]['heroId'],\n",
+ " 'deaths': match['players'][0]['deaths'],\n",
+ " 'assists': match['players'][0]['assists']\n",
+ " })\n",
+ " \n",
+ " df = pd.DataFrame(data)\n",
+ " df = df.sort_values('date')\n",
+ " df['cumulative_matches'] = range(1, len(df) + 1)\n",
+ " \n",
+ " return df\n",
+ "\n",
+ "df = process_matches(matches)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "e48f926f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ " date match_id duration is_victory kills hero_id deaths \\\n",
+ "3976 2022-05-23 6583797972 1791 False 1 64 8 \n",
+ "3973 2022-05-28 6590770465 2146 False 0 3 7 \n",
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+ "3972 2022-07-02 6644173675 2462 False 1 22 11 \n",
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+ "1 2024-10-22 7998365477 2197 False 4 86 11 \n",
+ "0 2024-10-23 7999656707 1804 True 1 86 4 \n",
+ "\n",
+ " assists cumulative_matches \n",
+ "3976 3 1 \n",
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+ "3974 3 4 \n",
+ "3972 14 5 \n",
+ "... ... ... \n",
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+ "2 20 3975 \n",
+ "1 28 3976 \n",
+ "0 30 3977 \n",
+ "\n",
+ "[3977 rows x 9 columns]"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "a9c8c0b7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Hero id / Ability Id constants is definied in a different place which is easily accessable via network calls\n",
+ "with open('dota_constants.json') as json_file:\n",
+ " dota_constants = json.load(json_file)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "4f8f3f6f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{1: {'name': 'Anti-Mage', 'attribute': 'agi'},\n",
+ " 2: {'name': 'Axe', 'attribute': 'str'},\n",
+ " 3: {'name': 'Bane', 'attribute': 'all'},\n",
+ " 4: {'name': 'Bloodseeker', 'attribute': 'agi'},\n",
+ " 5: {'name': 'Crystal Maiden', 'attribute': 'int'},\n",
+ " 6: {'name': 'Drow Ranger', 'attribute': 'agi'},\n",
+ " 7: {'name': 'Earthshaker', 'attribute': 'str'},\n",
+ " 8: {'name': 'Juggernaut', 'attribute': 'agi'},\n",
+ " 9: {'name': 'Mirana', 'attribute': 'all'},\n",
+ " 10: {'name': 'Morphling', 'attribute': 'agi'},\n",
+ " 11: {'name': 'Shadow Fiend', 'attribute': 'agi'},\n",
+ " 12: {'name': 'Phantom Lancer', 'attribute': 'agi'},\n",
+ " 13: {'name': 'Puck', 'attribute': 'int'},\n",
+ " 14: {'name': 'Pudge', 'attribute': 'str'},\n",
+ " 15: {'name': 'Razor', 'attribute': 'agi'},\n",
+ " 16: {'name': 'Sand King', 'attribute': 'all'},\n",
+ " 17: {'name': 'Storm Spirit', 'attribute': 'int'},\n",
+ " 18: {'name': 'Sven', 'attribute': 'str'},\n",
+ " 19: {'name': 'Tiny', 'attribute': 'str'},\n",
+ " 20: {'name': 'Vengeful Spirit', 'attribute': 'all'},\n",
+ " 21: {'name': 'Windranger', 'attribute': 'all'},\n",
+ " 22: {'name': 'Zeus', 'attribute': 'int'},\n",
+ " 23: {'name': 'Kunkka', 'attribute': 'str'},\n",
+ " 25: {'name': 'Lina', 'attribute': 'int'},\n",
+ " 26: {'name': 'Lion', 'attribute': 'int'},\n",
+ " 27: {'name': 'Shadow Shaman', 'attribute': 'int'},\n",
+ " 28: {'name': 'Slardar', 'attribute': 'str'},\n",
+ " 29: {'name': 'Tidehunter', 'attribute': 'str'},\n",
+ " 30: {'name': 'Witch Doctor', 'attribute': 'int'},\n",
+ " 31: {'name': 'Lich', 'attribute': 'int'},\n",
+ " 32: {'name': 'Riki', 'attribute': 'agi'},\n",
+ " 33: {'name': 'Enigma', 'attribute': 'all'},\n",
+ " 34: {'name': 'Tinker', 'attribute': 'int'},\n",
+ " 35: {'name': 'Sniper', 'attribute': 'agi'},\n",
+ " 36: {'name': 'Necrophos', 'attribute': 'int'},\n",
+ " 37: {'name': 'Warlock', 'attribute': 'int'},\n",
+ " 38: {'name': 'Beastmaster', 'attribute': 'all'},\n",
+ " 39: {'name': 'Queen of Pain', 'attribute': 'int'},\n",
+ " 40: {'name': 'Venomancer', 'attribute': 'all'},\n",
+ " 41: {'name': 'Faceless Void', 'attribute': 'agi'},\n",
+ " 42: {'name': 'Wraith King', 'attribute': 'str'},\n",
+ " 43: {'name': 'Death Prophet', 'attribute': 'int'},\n",
+ " 44: {'name': 'Phantom Assassin', 'attribute': 'agi'},\n",
+ " 45: {'name': 'Pugna', 'attribute': 'int'},\n",
+ " 46: {'name': 'Templar Assassin', 'attribute': 'agi'},\n",
+ " 47: {'name': 'Viper', 'attribute': 'agi'},\n",
+ " 48: {'name': 'Luna', 'attribute': 'agi'},\n",
+ " 49: {'name': 'Dragon Knight', 'attribute': 'str'},\n",
+ " 50: {'name': 'Dazzle', 'attribute': 'all'},\n",
+ " 51: {'name': 'Clockwerk', 'attribute': 'all'},\n",
+ " 52: {'name': 'Leshrac', 'attribute': 'int'},\n",
+ " 53: {'name': \"Nature's Prophet\", 'attribute': 'int'},\n",
+ " 54: {'name': 'Lifestealer', 'attribute': 'str'},\n",
+ " 55: {'name': 'Dark Seer', 'attribute': 'all'},\n",
+ " 56: {'name': 'Clinkz', 'attribute': 'agi'},\n",
+ " 57: {'name': 'Omniknight', 'attribute': 'str'},\n",
+ " 58: {'name': 'Enchantress', 'attribute': 'int'},\n",
+ " 59: {'name': 'Huskar', 'attribute': 'str'},\n",
+ " 60: {'name': 'Night Stalker', 'attribute': 'str'},\n",
+ " 61: {'name': 'Broodmother', 'attribute': 'all'},\n",
+ " 62: {'name': 'Bounty Hunter', 'attribute': 'agi'},\n",
+ " 63: {'name': 'Weaver', 'attribute': 'agi'},\n",
+ " 64: {'name': 'Jakiro', 'attribute': 'int'},\n",
+ " 65: {'name': 'Batrider', 'attribute': 'all'},\n",
+ " 66: {'name': 'Chen', 'attribute': 'all'},\n",
+ " 67: {'name': 'Spectre', 'attribute': 'agi'},\n",
+ " 68: {'name': 'Ancient Apparition', 'attribute': 'int'},\n",
+ " 69: {'name': 'Doom', 'attribute': 'str'},\n",
+ " 70: {'name': 'Ursa', 'attribute': 'agi'},\n",
+ " 71: {'name': 'Spirit Breaker', 'attribute': 'str'},\n",
+ " 72: {'name': 'Gyrocopter', 'attribute': 'agi'},\n",
+ " 73: {'name': 'Alchemist', 'attribute': 'str'},\n",
+ " 74: {'name': 'Invoker', 'attribute': 'all'},\n",
+ " 75: {'name': 'Silencer', 'attribute': 'int'},\n",
+ " 76: {'name': 'Outworld Destroyer', 'attribute': 'int'},\n",
+ " 77: {'name': 'Lycan', 'attribute': 'all'},\n",
+ " 78: {'name': 'Brewmaster', 'attribute': 'all'},\n",
+ " 79: {'name': 'Shadow Demon', 'attribute': 'int'},\n",
+ " 80: {'name': 'Lone Druid', 'attribute': 'all'},\n",
+ " 81: {'name': 'Chaos Knight', 'attribute': 'str'},\n",
+ " 82: {'name': 'Meepo', 'attribute': 'agi'},\n",
+ " 83: {'name': 'Treant Protector', 'attribute': 'str'},\n",
+ " 84: {'name': 'Ogre Magi', 'attribute': 'str'},\n",
+ " 85: {'name': 'Undying', 'attribute': 'str'},\n",
+ " 86: {'name': 'Rubick', 'attribute': 'int'},\n",
+ " 87: {'name': 'Disruptor', 'attribute': 'int'},\n",
+ " 88: {'name': 'Nyx Assassin', 'attribute': 'all'},\n",
+ " 89: {'name': 'Naga Siren', 'attribute': 'agi'},\n",
+ " 90: {'name': 'Keeper of the Light', 'attribute': 'int'},\n",
+ " 91: {'name': 'Io', 'attribute': 'all'},\n",
+ " 92: {'name': 'Visage', 'attribute': 'all'},\n",
+ " 93: {'name': 'Slark', 'attribute': 'agi'},\n",
+ " 94: {'name': 'Medusa', 'attribute': 'agi'},\n",
+ " 95: {'name': 'Troll Warlord', 'attribute': 'agi'},\n",
+ " 96: {'name': 'Centaur Warrunner', 'attribute': 'str'},\n",
+ " 97: {'name': 'Magnus', 'attribute': 'all'},\n",
+ " 98: {'name': 'Timbersaw', 'attribute': 'str'},\n",
+ " 99: {'name': 'Bristleback', 'attribute': 'str'},\n",
+ " 100: {'name': 'Tusk', 'attribute': 'str'},\n",
+ " 101: {'name': 'Skywrath Mage', 'attribute': 'int'},\n",
+ " 102: {'name': 'Abaddon', 'attribute': 'all'},\n",
+ " 103: {'name': 'Elder Titan', 'attribute': 'str'},\n",
+ " 104: {'name': 'Legion Commander', 'attribute': 'str'},\n",
+ " 105: {'name': 'Techies', 'attribute': 'all'},\n",
+ " 106: {'name': 'Ember Spirit', 'attribute': 'agi'},\n",
+ " 107: {'name': 'Earth Spirit', 'attribute': 'str'},\n",
+ " 108: {'name': 'Underlord', 'attribute': 'str'},\n",
+ " 109: {'name': 'Terrorblade', 'attribute': 'agi'},\n",
+ " 110: {'name': 'Phoenix', 'attribute': 'all'},\n",
+ " 111: {'name': 'Oracle', 'attribute': 'int'},\n",
+ " 112: {'name': 'Winter Wyvern', 'attribute': 'all'},\n",
+ " 113: {'name': 'Arc Warden', 'attribute': 'agi'},\n",
+ " 114: {'name': 'Monkey King', 'attribute': 'agi'},\n",
+ " 119: {'name': 'Dark Willow', 'attribute': 'all'},\n",
+ " 120: {'name': 'Pangolier', 'attribute': 'all'},\n",
+ " 121: {'name': 'Grimstroke', 'attribute': 'int'},\n",
+ " 123: {'name': 'Hoodwink', 'attribute': 'agi'},\n",
+ " 126: {'name': 'Void Spirit', 'attribute': 'all'},\n",
+ " 128: {'name': 'Snapfire', 'attribute': 'all'},\n",
+ " 129: {'name': 'Mars', 'attribute': 'str'},\n",
+ " 135: {'name': 'Dawnbreaker', 'attribute': 'str'},\n",
+ " 136: {'name': 'Marci', 'attribute': 'all'},\n",
+ " 137: {'name': 'Primal Beast', 'attribute': 'str'},\n",
+ " 138: {'name': 'Muerta', 'attribute': 'int'},\n",
+ " 131: {'name': 'Ringmaster', 'attribute': 'int'}}"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "hero_data_mapping = {}\n",
+ "for hero in dota_constants[\"heroes\"]:\n",
+ " hero_data_mapping[hero['id']] = { \"name\": hero['language']['displayName'], \"attribute\": hero['stats']['primaryAttribute']}\n",
+ "\n",
+ "hero_data_mapping[131] = {'name': 'Ringmaster', 'attribute': 'int'}\n",
+ "hero_data_mapping"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "20a1a320",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "
\n",
+ " \n",
+ " 98 | \n",
+ " 135 | \n",
+ " 48 | \n",
+ " 0.520833 | \n",
+ " 5.395833 | \n",
+ " 6.437500 | \n",
+ " 14.041667 | \n",
+ " 3.019417 | \n",
+ " str | \n",
+ "
\n",
+ " \n",
+ " 99 | \n",
+ " 136 | \n",
+ " 32 | \n",
+ " 0.468750 | \n",
+ " 4.437500 | \n",
+ " 7.656250 | \n",
+ " 14.687500 | \n",
+ " 2.497959 | \n",
+ " all | \n",
+ "
\n",
+ " \n",
+ " 100 | \n",
+ " 137 | \n",
+ " 31 | \n",
+ " 0.483871 | \n",
+ " 4.774194 | \n",
+ " 5.000000 | \n",
+ " 12.225806 | \n",
+ " 3.400000 | \n",
+ " str | \n",
+ "
\n",
+ " \n",
+ " 101 | \n",
+ " 138 | \n",
+ " 36 | \n",
+ " 0.500000 | \n",
+ " 6.750000 | \n",
+ " 6.277778 | \n",
+ " 11.777778 | \n",
+ " 2.951327 | \n",
+ " int | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
89 rows × 8 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " hero_id match_id is_victory kills deaths assists kda \\\n",
+ "0 2 17 0.647059 8.352941 8.235294 14.235294 2.742857 \n",
+ "1 3 111 0.522523 2.720721 5.576577 14.972973 3.172859 \n",
+ "2 4 7 0.285714 6.285714 7.428571 7.285714 1.826923 \n",
+ "3 5 38 0.447368 3.210526 7.236842 16.421053 2.712727 \n",
+ "4 7 30 0.400000 4.266667 8.166667 12.333333 2.032653 \n",
+ ".. ... ... ... ... ... ... ... \n",
+ "97 131 15 0.733333 4.133333 6.266667 20.666667 3.957447 \n",
+ "98 135 48 0.520833 5.395833 6.437500 14.041667 3.019417 \n",
+ "99 136 32 0.468750 4.437500 7.656250 14.687500 2.497959 \n",
+ "100 137 31 0.483871 4.774194 5.000000 12.225806 3.400000 \n",
+ "101 138 36 0.500000 6.750000 6.277778 11.777778 2.951327 \n",
+ "\n",
+ " primary_attr \n",
+ "0 str \n",
+ "1 all \n",
+ "2 agi \n",
+ "3 int \n",
+ "4 str \n",
+ ".. ... \n",
+ "97 int \n",
+ "98 str \n",
+ "99 all \n",
+ "100 str \n",
+ "101 int \n",
+ "\n",
+ "[89 rows x 8 columns]"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Prepare hero performance data\n",
+ "hero_data = df.groupby('hero_id').agg({\n",
+ " 'match_id': 'count',\n",
+ " 'is_victory': 'mean',\n",
+ " 'kills': 'mean',\n",
+ " 'deaths': 'mean',\n",
+ " 'assists': 'mean'\n",
+ "}).reset_index()\n",
+ "\n",
+ "hero_data = hero_data[hero_data['match_id'] > 2]\n",
+ "# Safe KDA calculation\n",
+ "hero_data['kda'] = (hero_data['kills'] + hero_data['assists']) / hero_data['deaths'].replace(0, 1)\n",
+ "hero_data['kda'] = hero_data['kda'].clip(0, 20) # Clip KDA to reasonable range\n",
+ "hero_data['primary_attr'] = hero_data['hero_id'].apply(lambda x: hero_data_mapping[x]['attribute'])\n",
+ "\n",
+ "hero_data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "105f5623",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For str\n",
+ "['Tidehunter', 'Dragon Knight', 'Elder Titan'] ['Night Stalker', 'Earth Spirit', 'Earthshaker'] ['Mars', 'Legion Commander']\n",
+ "For all\n",
+ "['Abaddon', 'Mirana', 'Snapfire'] ['Magnus', 'Beastmaster', 'Clockwerk'] ['Dazzle', 'Bane']\n",
+ "For agi\n",
+ "['Spectre', 'Razor', 'Clinkz'] ['Sniper', 'Bloodseeker', 'Monkey King'] ['Faceless Void', 'Hoodwink']\n",
+ "For int\n",
+ "['Warlock', 'Ringmaster', 'Oracle'] ['Shadow Shaman', 'Death Prophet', 'Lion'] ['Rubick', 'Warlock']\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "{37}"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Useful while tagging point of interest heroes in graph\n",
+ "def get_top_heroes(hero_data):\n",
+ " results = {}\n",
+ "\n",
+ " for attr in hero_data['primary_attr'].unique():\n",
+ " attr_data = hero_data[hero_data['primary_attr'] == attr]\n",
+ "\n",
+ " # Top 3 with highest KDA\n",
+ " top_kda = attr_data.nlargest(3, 'kda')\n",
+ "\n",
+ " # Top 3 with lowest KDA\n",
+ " bottom_kda = attr_data.nsmallest(3, 'kda')\n",
+ "\n",
+ " # Top 2 with highest match count\n",
+ " top_matches = attr_data.nlargest(2, 'match_id')\n",
+ "\n",
+ " results[attr] = {\n",
+ " 'top_kda': top_kda,\n",
+ " 'bottom_kda': bottom_kda,\n",
+ " 'top_matches': top_matches\n",
+ " }\n",
+ "\n",
+ " return results\n",
+ "\n",
+ "# Get the results\n",
+ "top_heroes = get_top_heroes(hero_data)\n",
+ "\n",
+ "top_unique_heroes = set()\n",
+ "temp = []\n",
+ "for i in top_heroes.keys():\n",
+ " print(f\"For {i}\")\n",
+ " top_kda = list(top_heroes[i]['top_kda']['hero_id'])\n",
+ " bottom_kda = list(top_heroes[i]['bottom_kda']['hero_id'])\n",
+ " top_matches = list(top_heroes[i]['top_matches']['hero_id'])\n",
+ " print([hero_data_mapping[i]['name'] for i in top_kda],\n",
+ " [hero_data_mapping[i]['name'] for i in bottom_kda],\n",
+ " [hero_data_mapping[i]['name'] for i in top_matches])\n",
+ " temp += top_kda\n",
+ " temp += bottom_kda\n",
+ " temp += top_matches\n",
+ " top_unique_heroes.update(top_kda)\n",
+ " top_unique_heroes.update(bottom_kda)\n",
+ " top_unique_heroes.update(top_matches)\n",
+ "\n",
+ "set([x for x in temp if temp.count(x) > 1])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "0ccd7683",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "