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June 2009 Bayesball: A Bayesian hierarchical model for evaluating fielding in major league baseball
Shane T. Jensen, Kenneth E. Shirley, Abraham J. Wyner
Ann. Appl. Stat. 3(2): 491-520 (June 2009). DOI: 10.1214/08-AOAS228

Abstract

The use of statistical modeling in baseball has received substantial attention recently in both the media and academic community. We focus on a relatively under-explored topic: the use of statistical models for the analysis of fielding based on high-resolution data consisting of on-field location of batted balls. We combine spatial modeling with a hierarchical Bayesian structure in order to evaluate the performance of individual fielders while sharing information between fielders at each position. We present results across four seasons of MLB data (2002–2005) and compare our approach to other fielding evaluation procedures.

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Shane T. Jensen. Kenneth E. Shirley. Abraham J. Wyner. "Bayesball: A Bayesian hierarchical model for evaluating fielding in major league baseball." Ann. Appl. Stat. 3 (2) 491 - 520, June 2009. https://doi.org/10.1214/08-AOAS228

Information

Published: June 2009
First available in Project Euclid: 22 June 2009

zbMATH: 1166.62385
MathSciNet: MR2750670
Digital Object Identifier: 10.1214/08-AOAS228

Keywords: baseball fielding , Bayesian shrinkage , Spatial models

Rights: Copyright © 2009 Institute of Mathematical Statistics

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Vol.3 • No. 2 • June 2009
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