Data mining in sports: predicting Cy Young award winners

Authors:
Lloyd Smith;Bret Lipscomb;Adam Simkins
Affiliations:
Missouri State University, Springfield, Missouri;Missouri State University, Springfield, Missouri;Missouri State University, Springfield, Missouri
Venue:
Journal of Computing Sciences in Colleges
Year:
2007

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Abstract

A Bayesian classifier was created to predict Cy Young Award winners in American baseball. The model was compared against two statistical models designed to perform the same task. Over the years from 1967 through 2006, the accuracy of the Bayesian classifier was similar to that of the other two models---when restricted to starting pitchers, all three were more than 80% correct. Accuracy was lower for all three models when relief pitchers were included in the data.