Various applications to a more realistic baseball simulator

Beaudoin David ()
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Beaudoin David: Département Opérations et Systèmes de Décision, Faculté des Sciences de l’Administration, Pavillon Palasis-Prince, Bureau 2636, Université Laval, Québec (Québec), G1V0A6 Canada

Journal of Quantitative Analysis in Sports, 2013, vol. 9, issue 3, 271-283

Abstract: This paper develops a simulator for matches in Major League Baseball (MLB). Aspects of the approach that are studied include the introduction of base-running probabilities which were obtained through a large data set, and the simulation of nine possible outcomes for each at-bat. Various applications to the simulator are investigated, such as the definition of a measure of the ability of a batter/pitcher, in-play strategy and the determination of the optimal batting order for a given team.

Keywords: analysis of variance, in-play strategy; in-play probabilities, logistic regression, major league baseball, measure of performance, optimal batting order, simulation (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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DOI: 10.1515/jqas-2012-0034

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