Collect and Clean Hockey Stats

NHL API (2024 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

A library and CLI tool for scraping NHL data.

An R package making it easy to extract NHL data in a tidy format

Predicting Stanley Cup outcomes using regular season game statistics, team statistics, and historical outcomes.

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.

Python Package for accessing various sources of NHL stats (NHL, MoneyPuck, etc.)

A visual of all scheduled games for that night. Features include real-time play by play, score, stats, and more!

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.

Predicting the 2024 Stanley Cup champion using machine learning.

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%.

An NHL expected goals (xG) model built with light gradient boosting.

Extract Transform and Load Dataset.

A valuation of team and player performance for the Detroit Red Wings utilizing league-wide comparison, cash flow analyses, and constrained optimization.

Data processing code for hockey analytics