使用改进的Duckworth-Lewis方法模拟一天国际板球比赛中的球员评分

IF 1.9 3区工程技术 Q3 MANAGEMENT

IMA Journal of Management Mathematics Pub Date : 2023-08-15 DOI:10.1093/imaman/dpad014

M. Asif, M. Yousaf

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引用次数: 0

摘要

我们提出了一个球员评级系统的一天国际(ODI)板球使用修改Duckworth-Lewis (MDL)模型。我们使用2004年1月至2021年6月期间进行的1764场不间断ODI比赛的逐球数据来估计模型参数。然后，该方法被用于对参加2019年国际刑事法院男子世界杯的球员进行评分。该方法是新颖的，因为评级取决于匹配的状态，因此考虑了压力和非压力情况。该方法还考虑了投球效应(高分或低分得分)。此外，击球手的表现可以与全能选手和保龄球运动员的表现进行比较。结果显示，孟加拉国的Shakib Al Hassan是本届锦标赛的最佳球员，其次是RG Sharma(印度)和JJ Roy(英格兰)。

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Modelling player ratings in one day international cricket using the modified Duckworth-Lewis method

We present a player rating system for One-Day International (ODI) cricket using the Modified Duckworth-Lewis (MDL) model. We used ball-by-ball data of 1764 uninterrupted ODI matches played from Jan-2004 to Jun-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, 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 RG Sharma (India) and JJ Roy (England).

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来源期刊

IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

CiteScore

4.70

自引率

17.60%

发文量

审稿时长

>12 weeks

期刊介绍： The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.