NHL Draft First Picks Data Analysis for 1963 - 2023
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Updated
Aug 30, 2023 - Jupyter Notebook
NHL Draft First Picks Data Analysis for 1963 - 2023
A visual of all scheduled games for that night. Features include real-time play by play, score, stats, and more!
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.
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.
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.
Data processing code for hockey analytics
Playing with the numbers for NHL stats
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.
Predicting Stanley Cup outcomes using regular season game statistics, team statistics, and historical outcomes.
An R package making it easy to extract NHL data in a tidy format
A library and CLI tool for scraping NHL data.
Data science analyses delving into National Hockey League (NHL) ice hockey statistics
NHL data and utilities to work with it
Goals Above Replacement and Elo Rating data for NHL history.
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