Markov Analysis of APBA, a Baseball Simulation Game

Davis Donald M
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Davis Donald M: Lehigh University

Journal of Quantitative Analysis in Sports, 2011, vol. 7, issue 3, 14

Abstract: APBA baseball is a sophisticated baseball simulation game. Each major league player is represented by a card, which has numbers on it that reflect his performance in a particular season. Two people play a game by rolling dice and looking on their players' cards to see what is the outcome of the roll of the dice.In this article, we use Markov chains to analyze certain aspects of this game. For example, we can tell whether one player's batting card is more valuable than another's, and we can make informed decisions about strategy in the game.

Keywords: baseball simulation game; Markov chains; matrices (search for similar items in EconPapers)
Date: 2011
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DOI: 10.2202/1559-0410.1285

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