⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
A Python package for fetching live football/soccer stats from multiple online sources (Sofascore, FBref, Promiedos and others).
⚽ App Django pour visualiser scores et calendriers des matchs de football obtenus par web scraping. Extraction depuis FBref, ETL personnalisé et stockage SQLite. Focus Premier League, architecture évolutive. 🏆 #Python #Django #WebScraping #FootballData
A scraper that directly gives football(not soccer) data from FBRef website directly to Pandas dataframe. Major teams and leagues supported.
A small plotly dashboard to visualize football stats from FBref
Streamlit app to recommend football players with similar profiles using FBRef stats. Combines PCA and KMeans clustering across six stat categories and visualizes results with interactive radar charts.
Generate customizable radar charts to compare football players using saved HTML data.
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