Location
https://www.kennesaw.edu/ccse/events/computing-showcase/sp26-cday-program.php
Document Type
Event
Start Date
22-4-2026 4:00 PM
Description
Our project focuses on predicting postseason awards for NCAA Men's College Basketball which can be difficult to model given that less than 15% of players in a given season win awards. After evaluating basic models, we selected a Zero-Inflated Poisson (ZIP) model to account for most players receiving zero awards. We identified free-throw attempts as being the best predictor for the structural zeros present in who can win an award. The final ZIP model produced better evaluation metrics than other basic models. Accounting for structural zeros allowed us to better model how on court statistics can translate into postseason awards.
Included in
UC-098-187 Zero-Inflated Poisson Modeling of NCAA Postseason Awards
https://www.kennesaw.edu/ccse/events/computing-showcase/sp26-cday-program.php
Our project focuses on predicting postseason awards for NCAA Men's College Basketball which can be difficult to model given that less than 15% of players in a given season win awards. After evaluating basic models, we selected a Zero-Inflated Poisson (ZIP) model to account for most players receiving zero awards. We identified free-throw attempts as being the best predictor for the structural zeros present in who can win an award. The final ZIP model produced better evaluation metrics than other basic models. Accounting for structural zeros allowed us to better model how on court statistics can translate into postseason awards.