Optimal lineups in Twenty20 cricket. Issue 14 (21st September 2016)

• Record Type: Journal Article
• Authors: Perera, Harsha; Davis, Jack; Swartz, Tim B.
• Is Part Of: Journal of statistical computation and simulation. Volume 86:Issue 14(2016)
• Page Start: 2888
• Page End: 2900
• Publication Date: 2016-09-21
• Subjects: Cricket -- relative value statistics -- simulated annealing; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5028505
• DOI: 10.1080/00949655.2015.1136629
• Languages: English
• ISSNs: 0094-9655

Abstract

ABSTRACT: This paper considers the determination of optimal team lineups in Twenty20 cricket where a lineup consists of three components: team selection, batting order and bowling order. Via match simulation, we estimate the expected runs scored minus the expected runs allowed for a given lineup. The lineup is then optimized over a vast combinatorial space via simulated annealing. We observe that the composition of an optimal Twenty20 lineup sometimes results in non-traditional roles for players. As a by-product of the methodology, we obtain an 'all-star' lineup selected from international Twenty20 cricketers.