Predicting match eXpected Goals (XG) for Premier League teams
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Updated
Sep 9, 2021 - R
Predicting match eXpected Goals (XG) for Premier League teams
Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.
Scraping do fbref.com e análise das substituições no Brasileirão 2021.
A small plotly dashboard to visualize football stats from FBref
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.
Statball - Football soccer stats analyser from top 5 european leagues with data obtained by web scraping from Fbref and Statsbomb
A simple package providing football data
A scraper that directly gives football(not soccer) data from FBRef website directly to Pandas dataframe. Major teams and leagues supported.
Apply Moneyball approach to Serie A Fantacalcio data.
Football analytics and vizzes around the world.
Scrape and analyze FBREF data with kickR.
Pitch IQ - personal and educational football analytics platform created by a hobbyist football data scientist.
A statistical analysis to summarize the evolution of the goalkeeper in football
📊⚽ 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.
Soccer Players Data Analyst and Similar Players Finder
A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
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