Data repository for NHL play-by-play data scraped with hockeyR
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Updated
Jun 25, 2024 - R
Data repository for NHL play-by-play data scraped with hockeyR
An R package making it easy to extract NHL data in a tidy format
Analyzing NHL Games with Machine Learning.
An NHL expected goals (xG) model built with light gradient boosting.
Repository for storing everything around my entries for Big-Data-Cup: https://www.stathletes.com/big-data-cup/
Plotly rink plotter for hockey projects.
A Python program that scrapes PWHL play-by-play data and transforms it into a useful Pandas Data Frame
NHL-Game Analysis 🥅 🏒
Hockey Club website live link
AHL expected goals linear model in tensorflow
A interactive Jupyter notebook that uses Kernel Density Estimation (KDE) to generate heatmaps for up to two NHL player's shooting and scoring locations based on game state.
Senior Integrative Exercise, Carleton College Statistics
Data processing code for hockey analytics
Ice hockey player evaluation using event data | 2022 Big Data Cup
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