Extract Transform and Load Dataset.

A library and CLI tool for scraping NHL data.

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%.

NHL games predictor

Playing with the numbers for NHL stats

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

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

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 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.

NHL Draft First Picks Data Analysis for 1963 - 2023

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

NHL data and utilities to work with it

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

Collect and Clean Hockey Stats

Data processing code for hockey analytics

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

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

Predicting the 2024 Stanley Cup champion using machine learning.

A Discord bot that scrapes Sportsnet to find the most recent NHL trades and signings.

The Official Unofficial .NET NHL API