A peculiar phenomenon and its potential explanation in the ATP tennis tour finals for singles

IF 1.1 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS
Itamar Lerner
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引用次数: 0

Abstract

Abstract The ATP finals is the concluding tournament of the tennis season since its initiation over 50 years ago. It features the 8 best players of that year and is often considered to be the most prestigious event in the sport other than the 4 grand slams. Unlike any other professional tennis tournament, it includes a round-robin stage where all players in a group compete against each other, making it a unique testbed for examining performance under forgiving conditions, where losing does not immediately result in elimination. Analysis of the distribution of final group standings in the ATP Finals for singles from 1972 to 2021 reveals a surprising pattern, where one of the possible and seemingly likely outcomes almost never materializes. The present study uses a model-free, optimization approach to account for this distinctive phenomenon by calculating what match winning probabilities between players in a group can lead to the observed distribution. Results show that the only way to explain the empirical findings is through a “paradoxical” balance of power where the best player in a group shows a vulnerability against the weakest player. We discuss the possible mechanisms underlying this result and their implications for match prediction, bettors, and tournament organization.
ATP网球巡回赛单打决赛中的一个奇怪现象及其可能的解释
ATP年终总决赛是网球赛季50多年来的结束语。它以当年最好的8名球员为特色,通常被认为是除4大满贯之外最负盛名的赛事。与其他任何职业网球锦标赛不同,它包括一个循环赛阶段,小组中的所有球员相互竞争,这使它成为一个独特的测试平台,可以在宽容的条件下测试表现,在这种情况下,输球不会立即导致淘汰。对1972年至2021年ATP决赛单打最后小组排名分布的分析揭示了一个令人惊讶的模式,其中一个可能的和看似可能的结果几乎从未实现。目前的研究使用无模型的优化方法来解释这种独特的现象,通过计算组中玩家之间的比赛获胜概率可以导致观察到的分布。结果表明,解释这一实证发现的唯一方法是通过一种“矛盾的”力量平衡,即团队中最优秀的玩家面对最弱的玩家时表现出脆弱性。我们讨论了这一结果背后的可能机制及其对比赛预测、投注者和比赛组织的影响。
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来源期刊
Journal of Quantitative Analysis in Sports
Journal of Quantitative Analysis in Sports SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
2.00
自引率
12.50%
发文量
15
期刊介绍: The Journal of Quantitative Analysis in Sports (JQAS), an official journal of the American Statistical Association, publishes timely, high-quality peer-reviewed research on the quantitative aspects of professional and amateur sports, including collegiate and Olympic competition. The scope of application reflects the increasing demand for novel methods to analyze and understand data in the growing field of sports analytics. Articles come from a wide variety of sports and diverse perspectives, and address topics such as game outcome models, measurement and evaluation of player performance, tournament structure, analysis of rules and adjudication, within-game strategy, analysis of sporting technologies, and player and team ranking methods. JQAS seeks to publish manuscripts that demonstrate original ways of approaching problems, develop cutting edge methods, and apply innovative thinking to solve difficult challenges in sports contexts. JQAS brings together researchers from various disciplines, including statistics, operations research, machine learning, scientific computing, econometrics, and sports management.
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