ffanalytics R package
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Updated
Jun 11, 2024 - R
ffanalytics R package
A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport
An analysis and visualization R package that works with publicly available soccer data
An example of how to create a xG model using R and Wyscout event data
An R package to tidy SecondSpectrum Physical Splits csv files
Calculating play-by-play win probabilities throughout NFL games using logistic regression and random forests.
This repository consists the supplemental materials of the paper "Decomposition of Expected Goal Models: Aggregated SHAP Values for Analyzing Scoring Potential of Player/Team".
Football analytics and vizzes around the world.
Analysis on Statsbomb football data
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
Football role clustering based on performance metrics. 🏃♂️And my first xG model 🥅
Archivo en el que se recogerán los scripts, marcos de datos, visualizaciones y resultados de los análisis futbolísticos expuestos en Medium
Unveiling the Top Goal Scorer: Data-Driven Insights from Europe's Big 5 Leagues
Scrape and analyze FBREF data with kickR.
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