Performing best when it matters the most: evidence from professional handball

IF 1.1 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS

Journal of Quantitative Analysis in Sports Pub Date : 2023-07-25 DOI:10.1515/jqas-2022-0070

Christoph Bühren, Marvin Gabriel

引用次数: 4

Abstract

Abstract We analyze the impact of psychological pressure on performance with over 5500 handball penalties thrown in either the decisive stage or the rest of the game during matches of the 2019/2020 season in the first three German handball leagues. Contrary to the choking under pressure phenomenon, most of the analyzed players perform best when it matters the most. The positive effect of pressure on performance is highest when the score is even or when the thrower’s team is trailing. We control for gender and psychological traits assessed with a survey. In our sample, female players score with a higher probability than male players. The positive impact of pressure is not significantly higher for female players.

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最重要的时候表现最好:来自职业手球的证据

摘要:本文分析了心理压力对球员表现的影响，分析了2019/2020赛季德国前三大手球联赛中，在决胜阶段和比赛剩余阶段投出的5500多个手球点球。与压力下的窒息现象相反，大多数被分析的球员在最重要的时候表现得最好。压力对成绩的积极影响在比分持平或运动员所在队落后时最为显著。我们通过调查来控制性别和心理特征。在我们的样本中，女性玩家得分的概率高于男性玩家。压力对女性运动员的积极影响并不明显。

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

Journal of Quantitative Analysis in Sports SOCIAL SCIENCES, MATHEMATICAL METHODS-

CiteScore

2.00

自引率

12.50%

发文量

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.