⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
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Updated
May 24, 2024 - Python
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
Soccer Players Data Analyst and Similar Players Finder
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
A statistical analysis to summarize the evolution of the goalkeeper in football
Pitch IQ - personal and educational football analytics platform created by a hobbyist football data scientist.
Scrape and analyze FBREF data with kickR.
Football analytics and vizzes around the world.
Apply Moneyball approach to Serie A Fantacalcio data.
A scraper that directly gives football(not soccer) data from FBRef website directly to Pandas dataframe. Major teams and leagues supported.
A simple package providing football data
Statball - Football soccer stats analyser from top 5 european leagues with data obtained by web scraping from Fbref and Statsbomb
The top teams in the English Premier League in the 2021-22 season, Manchester City and Liverpool FC, have gone ahead during this off season to add classic NO.9s to their already stellar attack options. Let's see how these two player stack up against each order using radar plot. Data source is FBref via Statsbomb.
A small plotly dashboard to visualize football stats from FBref
Scraping do fbref.com e análise das substituições no Brasileirão 2021.
Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.
Predicting match eXpected Goals (XG) for Premier League teams
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