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Predicting the Unpredictable: Predicting the March Madness Champion using Statistical Modeling

One of the more exciting and hardest parts of the men’s college basketball postseason tournament, named March Madness, is to pick who wins each game and determine the overall champion of the tournament. The data analysis conducted will help determine the overall tournament winner. A machine learning model is implemented using college basketball metrics from previous years to determine the overall winner of this prestigious tournament in 2025. The model was able to pick up the winner in 2024. The result also finds that the most important features in determining the winner of the tournament are shooting guard height, small forward height, center height, wins above bubble and defensive rebound percentage. Being able to understand the most important variables in determining a winner of the tournament can help individuals in picking the winner in their March Madness bracket groups, which is where the results can lead to implementation or future study.

Jack Sweeney
Bryant University
United States
jsweeney7@bryant.edu

 

Suhong Li
Bryant University
United States
sli@bryant.edu