Optimal batting orders in cricket

Cricket teams are usually listed on the scoreboard in expected batting order, and although captains can choose to send in any of the remaining batsmen when a wicket falls, they rarely depart from the usual batting order. By optimizing a simplified model using dynamic programming, this paper shows th...

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Bibliographic Details
Published inJournal of the Operational Research Society Vol. 61; no. 6; pp. 980 - 986
Main Authors Norman, J M, Clarke, S R
Format Journal Article
LanguageEnglish
Published London Taylor & Francis 01.06.2010
Palgrave Macmillan
Palgrave Macmillan UK
Taylor & Francis Ltd
Subjects
Applied sciences
Arithmetic mean
batting order
Business and Management
Case-Oriented Paper
Case-oriented Papers
Cricket
Dynamic modeling
Dynamic programming
Exact sciences and technology
Management
Mathematical programming
Operational research and scientific management
Operational research. Management science
Operations research
Operations Research/Decision Theory
Ovens
Probabilities
Probability
Programming models
Sporting balls
Sports
Statistics
Strategic planning
Studies
Variances
batting order
dynamic programming
sports
cricket
Cricket
Ordered set
Team sport
Scheduling
Dynamic programming
Dynamic model
Optimization
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Summary:Cricket teams are usually listed on the scoreboard in expected batting order, and although captains can choose to send in any of the remaining batsmen when a wicket falls, they rarely depart from the usual batting order. By optimizing a simplified model using dynamic programming, this paper shows that in all forms of cricket significant increases in expected score result if captains allow a variable batting order and base their decision on the state of the game, rather than using a set batting order.
ISSN:0160-5682
1476-9360
1745-655X
DOI:10.1057/jors.2009.54