Modelling a baseball game to optimise pitcher substitution strategies incorporating handedness of players

Hirotsu, N and Wright, M B (2003) Modelling a baseball game to optimise pitcher substitution strategies incorporating handedness of players. Working Paper. The Department of Management Science, Lancaster University.

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Abstract

This paper proposes a method for identifying the optimal strategy for substituting players in a baseball game, taking into consideration the handedness of players, which is one of the main factors in terms of managerial decision-making for substitution. Using a Markov Chain model we incorporate the effect of the handedness of players by introducing the concept of the Defensive Earned Run Average (DERA) as a measure of the defensive ability of pitchers and calibrating the batting probabilities of players depending on their handedness. We then develop a dynamic programming (DP) formulation including the effect of the handedness of players. This method is illustrated using a match based on the real line-ups of the Colorado Rockies and the San Francisco Giants in the National League of Major League Baseball, especially focusing on the introduction of a relief pitcher in consideration with his handedness

Item Type:
Monograph (Working Paper)
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/aacsb/disciplinebasedresearch
Subjects:
?? baseballdynamic programmingmarkov chainmodellingsportssubstitutiondiscipline-based research ??
ID Code:
48655
Deposited By:
Deposited On:
11 Jul 2011 21:04
Refereed?:
No
Published?:
Published
Last Modified:
15 Jul 2024 07:51