Data science analyses delving into National Hockey League (NHL) ice hockey statistics
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Updated
Sep 18, 2024 - Python
Data science analyses delving into National Hockey League (NHL) ice hockey statistics
Predicting the 2024 Stanley Cup champion using machine learning.
NHL API (2024 Updated) - For accessing most of the NHL EDGE statistical API's, scores, schedules and more
The Official Unofficial .NET NHL API
An R package making it easy to extract NHL data in a tidy format
Goals Above Replacement and Elo Rating data for NHL history.
Data processing code for hockey analytics
An NHL expected goals (xG) model built with light gradient boosting.
Predicting Stanley Cup outcomes using regular season game statistics, team statistics, and historical outcomes.
NHL Draft First Picks Data Analysis for 1963 - 2023
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 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.
A valuation of team and player performance for the Detroit Red Wings utilizing league-wide comparison, cash flow analyses, and constrained optimization.
A visual of all scheduled games for that night. Features include real-time play by play, score, stats, and more!
NHL data and utilities to work with it
Playing with the numbers for NHL stats
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