Modeling NFL Field Goal Probabilities in R

Scraping and visualising Swiss football transfer data using R

Code, analysis, and data for estimating team strengths from odds data

Bayesian estimation of the finishing skill of football players

⚽ golazo!

Use bookies' odds to optimise fantasy premier league performance

Get football club rankings from 538

A look at how rest impacts results in soccer and tennis

footballdatar

Simulating NFL drives using different play-calling strategies

System to test strategies for fantasy football

This project looks to predict the outcome of English Premier League. There are 6 major factors which contribute to the result of the match, they are - Number of goals scored, Number of clean sheets kept, Shots on target made by the team, Shots taken from inside the box, Goals conceded, Saves made by the goalkeeper of the team. Ranking Algorithm …

Data and code for Mesoudi (2019) Cultural evolution of football tactics: Strategic social learning in managers' choice of formation. Evolutionary Human Sciences

fetch Fantasy Premier League (FPL) data

Shiny application that tracks FBS talent vs wins over time

Code and slides for SatRdays Paris 2019

I am interested in exploring machine learning techniques to predict the outcome of a European soccer game using game and player information collected. The generated predictive model will be able to predict the outcome of a game as Win, Loss or Draw for the home team. This model will use various attributes that are calculated each year for both h…

EPL What If

historic data on European football (soccer) clubs' playing squads