IdeaFest
 

Title

Predicting Major League Baseball Hall of Fame Probability

Document Type

Oral/Panel

Publication Date

5-2020

Disciplines

Economics

Abstract

Hall of Fame voting for Major League Baseball is a subjective process with a lot of room for bias and inconsistency. I used multiple linear regression to predict the probability of a player being inducted into the Hall of Fame based on a set of career statistics that I decided to control for in the model. I compared the predictions to actual voting results and my model correctly predicted one hundred percent of the time.

First Advisor

Mike Allgrunn

Second Advisor

Kathryn Birkeland

Research Area

Economics

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