EconPapers    
Economics at your fingertips  
 

When to challenge a call in tennis: A Markov decision process approach

Nadimpalli Vamsi K. and Hasenbein John J. ()
Additional contact information
Nadimpalli Vamsi K.: Zilliant, Inc., 3815 S. Capital of Texas Highway, Suite 300, Austin, TX 78704, USA
Hasenbein John J.: Graduate Program in Operations Research and Industrial Engineering, Department of Mechanical Engineering, University of Texas at Austin, Austin, Texas, 78712, USA

Journal of Quantitative Analysis in Sports, 2013, vol. 9, issue 3, 229-238

Abstract: In this paper, we develop a Markov decision process (MDP) model to determine when a player should challenge a line call in a game of tennis, if the objective is to maximize the probability of winning the game. The parameters in the model include the relative strength of the players and the fallibility of the officials. The player’s decision depends on the the current score, the number of challenges remaining, the outcome of a successful challenge, and his confidence that the line call is incorrect. The model developed is a multi-chain MDP operating under the long-run average cost criterion. We also performed extensive numerical studies when the player has one challenge remaining, varying the player strengths and the fallibility levels. These studies imply some general intuitive challenge strategies but also exhibit unusual strategic behavior in some game states. For example, in some states it is not optimal for very weak or very strong players to challenge calls. Furthermore, we demonstrate that the challenge decision is not “unimodal” as a function of the player’s strength, i.e., there may be multiple decision thresholds with respect to this parameter.

Keywords: challenges; Markov decision processes; tennis (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/jqas-2012-0051 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:jqsprt:v:9:y:2013:i:3:p:229-238:n:3

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jqas/html

DOI: 10.1515/jqas-2012-0051

Access Statistics for this article

Journal of Quantitative Analysis in Sports is currently edited by Mark Glickman

More articles in Journal of Quantitative Analysis in Sports from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:jqsprt:v:9:y:2013:i:3:p:229-238:n:3