Analyze the relationship between expected goals and odds of winning a game in the English Premier League
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Updated
Mar 12, 2020 - HTML
Analyze the relationship between expected goals and odds of winning a game in the English Premier League
Some projects related to the application of Machine Learning for Sports Analytics
AHL expected goals linear model in tensorflow
Using wyscout data to create a xG model
Classification model for expected goals (xG) in women's club soccer, predicting the likelihood that a shot will score using data extracted from StatsBomb.
Fun with Rocket League tracking data
An expected goals (xG) model for the AHL. Also applicable to the CHL.
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 open source project to develop live xG prediction models from photo and video input using Computer Vision.
FBref player stats scraper
Building xG and xGOT based on Statsbomb World Cup 2022 Open Data
An NHL expected goals (xG) model built with light gradient boosting.
📊⚽ 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.
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