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

Research output: Working paper

Published

Standard

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

Research output: Working paper

Harvard

Hirotsu, N & Wright, MB 2003 'Modelling a baseball game to optimise pitcher substitution strategies incorporating handedness of players' Management Science Working Paper Series, The Department of Management Science, Lancaster University.

APA

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

Vancouver

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

Author

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

Bibtex

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title = "Modelling a baseball game to optimise pitcher substitution strategies incorporating handedness of players",
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",
keywords = "baseball, dynamic programming, Markov chain, modelling, sports, substitution",
author = "N Hirotsu and Wright, {M B}",
year = "2003",
language = "English",
series = "Management Science Working Paper Series",
publisher = "The Department of Management Science",
type = "WorkingPaper",
institution = "The Department of Management Science",

}

RIS

TY - UNPB

T1 - Modelling a baseball game to optimise pitcher substitution strategies incorporating handedness of players

AU - Hirotsu, N

AU - Wright, M B

PY - 2003

Y1 - 2003

N2 - 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

AB - 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

KW - baseball

KW - dynamic programming

KW - Markov chain

KW - modelling

KW - sports

KW - substitution

M3 - Working paper

T3 - Management Science Working Paper Series

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

PB - The Department of Management Science

CY - Lancaster University

ER -