NHL API (2025/2026 Updated) - For accessing most of the NHL EDGE statistical API's, scores, schedules and more
The Official Unofficial .NET NHL API
Goals Above Replacement and Elo Rating data for NHL history.
Data science analyses delving into National Hockey League (NHL) ice hockey statistics
NHL data and utilities to work with it
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.
A library and CLI tool for scraping NHL data.
Predicting Stanley Cup outcomes using regular season game statistics, team statistics, and historical outcomes.
TypeScript wrapper for the NHLe API with simple, composable functions and full type safety
Predicting the 2024 Stanley Cup champion using machine learning.
Identify Undervalued NHL contracts using xGF% and Salary + Statistics
A ticket sales and game day promotional analysis across the NHL and for the Detroit Red Wings with the creation of a linear regression model to predict fan attendance.
20 years of NHL data was used to determine player position based on machine learning models. Machine learning models were built using the average summary of statistics across multiple features (goals, assists, shots, etc.). The machine learning models predict the actual primary position of the player with an average accuracy of 85%.
Data processing code for hockey analytics
A k-means clustering analysis performed on NHL player's seasonal stats and a constrained optimization used to build an ideal roster for the Detroit Red Wing's upcoming season.
A visual of all scheduled games for that night. Features include real-time play by play, score, stats, and more!
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