An analysis and visualization R package that works with publicly available soccer data
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Updated
Aug 18, 2023 - R
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
A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport
Random forest analysis of match statistics and team performances in five seasons of the English Premier League (EPL)
StrangeR things: Visualizing Soccer Data with R… on a Soccer Pitch? How to analyze, visualize and report soccer data and strategies on a soccer pitch with the "ggsoccer" package
Code and Shiny App to Generate "Entries into Final 3rd" Soccer viz. (StatsBomb event data).
Provide some examples for creating a data pipeline with the {googledrive} package and Github Actions
End to end data science self-learning project. This work focuses on R, tidyverse and tidymodels ecosystem for data wrangling and modeling.
This repository consists the supplemental materials of the paper "Decomposition of Expected Goal Models: Aggregated SHAP Values for Analyzing Scoring Potential of Player/Team".
A shiny application where performed data wrangling techniques such as data restructuring. In addition, the application is also dockerized.
Using exploratory data analysis and k-means clustering to analyze competitive balance in soccer/football
R을 이용한 FIFA 21 선수 데이터셋에 대한 분석
Interactive soccer exploration with R
Analysis of historical European Premier League football (soccer) matches
How would the EPL league standings look if the games were only 75 minutes long?
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