Causal Analysis of Tactics in Soccer: The Case of Throw-ins

IF 4.3 3区 工程技术 Q3 MANAGEMENT IMA Journal of Management Mathematics Pub Date : 2023-10-10 DOI:10.1093/imaman/dpad022
Nirodha Epasinghege Dona, Tim B Swartz
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Abstract

Abstract Accepted by: Phil Scarf This paper investigates optimal target locations for throw-ins in soccer. The investigation is facilitated by the use of tracking data which provide the positioning of players measured at frequent intervals (i.e. 10 times per second). The methods for the investigation are necessarily causal since there are confounding variables that impact both the throw-in location and the result of the throw-in. A simple causal analysis indicates that on average, backwards throw-ins are beneficial and lead to an extra two shots per 100 throw-ins. We also observe that there is a benefit to long throw-ins where on average, they result in roughly four more shots per 100 throw-ins. These results are corroborated by a more complex causal analysis that relies on the spatial structure of throw-ins.
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足球技战术成因分析——以掷球为例
本文研究了足球抛界外球的最佳目标位置。追踪数据的使用为调查提供了便利,这些数据提供了以频繁间隔(即每秒10次)测量的球员位置。调查方法必须是因果关系,因为存在影响投掷地点和投掷结果的混杂变量。一个简单的因果分析表明,平均而言,向后投掷是有益的,每100次投掷可以多投两次球。我们还观察到,长界外球有一个好处,平均来说,每100次界外球可以多投4次球。这些结果得到了一个更复杂的因果分析的证实,该分析依赖于扔垃圾的空间结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IMA Journal of Management Mathematics
IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.70
自引率
17.60%
发文量
15
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.
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