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/
NHL-Game Analysis 🥅 🏒
Plotly rink plotter for hockey projects.
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.
NHL predictions based on historical data and modeling
🏒 Track and visualize NHL shots and goals with an interactive app that pulls live data and offers filtering options for detailed analysis.
Data processing code for hockey analytics
Senior Integrative Exercise, Carleton College Statistics
You will find in this the Apps Script code I have used to automate the trades and commitments of CHL, NCAA and USPORTS players from the Elite Prospects Transfers Board.
A look into the 2024-2025 NHL season using various methods at finding out what players performed the best statistically. The current data includes playoffs with the regular season data with no way to distinguish the regular and post season. I hope to find better data and expand this to last junior leagues.
AHL expected goals linear model in tensorflow
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