A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport
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Updated
Oct 1, 2021 - R
A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport
Analysis on Statsbomb football data
This repository consists the supplemental materials of the paper "Decomposition of Expected Goal Models: Aggregated SHAP Values for Analyzing Scoring Potential of Player/Team".
An R package to tidy SecondSpectrum Physical Splits csv files
An example of how to create a xG model using R and Wyscout event data
Calculating play-by-play win probabilities throughout NFL games using logistic regression and random forests.
An analysis and visualization R package that works with publicly available soccer data
Archivo en el que se recogerán los scripts, marcos de datos, visualizaciones y resultados de los análisis futbolísticos expuestos en Medium
Football analytics and vizzes around the world.
Football role clustering based on performance metrics. 🏃♂️And my first xG model 🥅
Scrape and analyze FBREF data with kickR.
A valuation model with OLS regression, for football players in Chinese (CFA) Super League, based on data from season 2023. Using https://github.com/JaseZiv/worldfootballR
Unveiling the Top Goal Scorer: Data-Driven Insights from Europe's Big 5 Leagues
ffanalytics R package
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