Predicting Whiffs: A Statcast Machine Learning Approach
Pitch-level machine learning model built in Python to predict MLB swing-and-miss (whiff) probability using Statcast data and advanced pitch characteristics.
Predicting Whiffs: A Statcast Machine Learning Approach
Pythagorean Expectation for Predicting Outcomes in Sports
Pythagorean expectation and predictions done in Python to forecast winning percentage in a range of sports including NHL, IPL, MLB, NBA, and English Soccer.
Shooting Percentage Luck? An analysis of NHL Coach Firings
Regression, correlation, and visualization done in R to analyze the impact a teams shooting % can have on an NHL coaches likelihood of being fired.
Diving deep into NHL Analytics: A Visual Analysis of Player Performance
Data cleaning, analysis, visualization done in SQL and Power BI to showcase advanced statistics percentiles in the NHL over the last 18 seasons.
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