sofascore

⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored.

A Python package for fetching live football/soccer stats from multiple online sources (Sofascore, FBref, Promiedos and others).

SofaScore Scraper is a comprehensive Python application designed to fetch, process, and analyze football match data from SofaScore. Built with a focus on flexibility and data integrity, this tool enables researchers, football analysts, and sports enthusiasts to access structured match data across multiple leagues and seasons.

Using the Sofascore API to collect football games for analysis

Documentation, Python clients, and a standalone Django API proxy service for the undocumented Sofascore sports data APIs.

maps the sofascore rating to comunio players

Python SDK for multi-source sports data — ESPN (17 sports, 139+ leagues), NHL, MLB, NBA, NFL, FotMob, Sofascore & Fantasy. pip install sportly

Daily football/soccer lineup scraper and analyser for card betting.

In-house Chrome extension for duplicating Admin dev session cookie for localhost domain.

Extract football match commentary (FotMob, Sofascore) and clean article text with one click. Chrome / Edge extension (MV3).

Chrome extension sidebar for live sports scores. Filter by league, date, and status. Published on the Chrome Web Store.

Sofascore Scraper gets you Sofascore data ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — as clean JSON. 1,000 free calls/month ❤️

My silly attempt at calculating the best starting 11 round for round at holdet.dk

Stay on top of your favorite team's fixtures and broadcasts without ever leaving your command line.

Runnable Python & JS examples for the Sofascore Scraper on Apify

A comprehensive FastAPI toolkit and relational CSV dataset exporter for the Sofascore Football Data especially Trendyol Super League, featuring real-time data and advanced statistics.

Personal homework repository for Frontend Sofascore Academy 2024, documenting my learning journey and assignment submissions in frontend development.

A comprehensive Python-based scraping project that collects complete performance statistics for all Premier League players from SofaScore, generating a structured dataset for sports analytics, research, and machine learning applications.

Home Assistant team tracker using the SofaScore API. Fork of vasqued2/ha-teamtracker (GPL-3.0), migrated from ESPN.

Premier League match prediction (Home Win) with Elo + form features, walk-forward backtesting, and Streamlit dashboard.