公平的世界游泳大师积分系统

IF 1.1 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS

Journal of Quantitative Analysis in Sports Pub Date : 2024-01-18 DOI:10.1515/jqas-2023-0051

Christoph Bartneck, Elena Moltchanova

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引用次数: 0

摘要

公平和包容的竞赛取决于考虑到所有相关因素的计分系统。我们分析了现行的世界残疾人游泳积分系统，发现了一些理论和实践上的弊端。我们提出并测试了一种公平的世界残疾人积分系统，该系统不仅改进了算法，还扩展了算法以适应运动员的年龄。它还提供了一种打破积分并列的方法。这将使残疾人游泳大师首次能够相互公平竞争。我们还开发并发布了一些工具，使赛事组织者能够直接使用公平世界残疾人积分系统。

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Fair world para masters point system for swimming

A fair and inclusive competition depends on a scoring system that takes all relevant factors into account. We analysed the current World Para Point System for swimming and identified several theoretical and practical disadvantages. We propose and test a Fair World Para Point System that not only improves the algorithm, but also extends it to accommodate for the age of the athlete. It also provides a method to break point ties. This will enable para masters swimmers for the first time to compete fairly with each other. We also develop and publish tools that enable event organisers to directly use the Fair World Para Point System.

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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.