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Certificate of Completion
THIS ACKNOWLEDGES THAT
HAS COMPLETED THE MAY-SUMMER 2024 DATA SCIENCE BOOT CAMP
Reginald Bain
Roman Holowinsky, PhD
JUNE 10, 2024
DIRECTOR
DATE
TEAM
Jimmy's and Joes vs X's and O's: Predicting results in college sports analyzing talent accumulation and on-field success
Reginald Bain, Tung Nguyen, Reid Harris
Recent legislation has changed the landscape of college sports, a multi-billion dollar enterprise with deep roots in American sports culture. With the recent legalization of sports betting in many states and the SCOTUS O’Bannon ruling that allows athletes to be paid through so-called “Name-Image-Likeness (NIL)” deals, evaluating talent and projecting results in college sports is an increasingly interesting problem. By considering both talent accumulation and recent on-field results, our models aim to predict relevant results for sports betting/team construction. In this iteration of the project, our targets are regular season win percentage (using a season level model that we’ll call Model 1) and individual game results (with a game by game model we’ll call Model 2) in the regular season. Our datasets come from a variety of sources including On3, ESPN, 24/7 Sports, The College Football Database, and SportsReference.com.