Modelling player ratings in One Day International cricket using the Modified Duckworth-Lewis method

Author:

Asif Muhammad123ORCID,Yousaf Muhammad1

Affiliation:

1. Department of Statistics, University of Malakand , Chakdara, Lower Dir, Khyber Pakhtunkhwa 18800 , Pakistan

2. Center for Sports Business , Management School, , Liverpool L69 3BX , UK

3. University of Liverpool , Management School, , Liverpool L69 3BX , UK

Abstract

Abstract Accepted by: Phil Scarf We present a player rating system for One-Day International (ODI) cricket using the Modified Duckworth-Lewis model. We used ball-by-ball data of 1764 uninterrupted One-Day International (ODI) matches played from January 2004 to June 2021 to estimate model parameters. The proposed method is then used to rate players who appeared in the ICC Men’s World Cup 2019. The method is novel because the rating depends on the state of the match, so that pressure and non-pressure situations are accounted for. The method also considers a pitch effect (high or low run scoring). Moreover, the batsman performance can be compared to all-rounder and bowling performances. The results rate Shakib Al Hassan of Bangladesh as the tournament’s best player, followed by R.G. Sharma (India) and J.J. Roy (England).

Funder

Higher Education Commission of Pakistan

Postdoctoral Research Fellowship Program

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Management Science and Operations Research,Strategy and Management,General Economics, Econometrics and Finance,Modeling and Simulation,Management Information Systems

Reference31 articles.

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3. A generalized non-linear forecasting model for Limited Overs International cricket;Asif;Int. J. Forecast.,2019

4. A short comparative study on modified Duckworth-Lewis methods;Asif;PLOS ONE,2021

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