Data science analyses delving into National Hockey League (NHL) ice hockey statistics
Scraper for National Hockey League Data on R
Data repository for NHL play-by-play data scraped with hockeyR
A Python program that scrapes PWHL play-by-play data and transforms it into a useful Pandas Data Frame
An R package making it easy to extract NHL data in a tidy format
An NHL expected goals (xG) model built with light gradient boosting.
Analyzing NHL Games with Machine Learning.
Repository for storing everything around my entries for Big-Data-Cup: https://www.stathletes.com/big-data-cup/
Plotly rink plotter for hockey projects.
NHL-Game Analysis 🥅 🏒
NHL predictions based on historical data and modeling
28 free Claude Code skills for NHL analytics, betting models, and hockey research. Works with PuckAPI MCP server for live data.
This repo allows anyone to code and clip a match they're watching. It is targeted specifically at match officials and their coaches to be able to review performances after the game. To get started, open README.md and follow the instructions. CLICK THE LINK BELOW TO DONATE TO THE UPKEEP OF umpireCoding
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.
Predicting NHL forward breakouts using Machine Learning
Documentation for the Pivot/TBL Re-Rates analytics pipeline used in the Eastside Hockey Manager database
🏒 Track and visualize NHL shots and goals with an interactive app that pulls live data and offers filtering options for detailed analysis.
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