一个基于进球的指标来分析足球联赛的竞争平衡

IF 1.1 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS
S. Deb
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引用次数: 0

摘要

从产业经济增长的角度来看,足球联赛的竞争平衡是极其重要的。许多研究人员早先提出了不同的衡量竞争平衡的方法,这些方法主要改编自标准的经济理论。然而,这些措施并不能捕捉到游戏的细微差别。在这项工作中,我们讨论了一个更适合足球联赛的新框架。首先,我们提出了一个数学证明,在理论上最优的情况下,足球联赛变得完全平衡。其次,建立了基于目标的竞争平衡指标。我们提出了相关的理论结果,并展示了如何使用所提出的指数来正式测试不平衡的存在。将该方法应用于欧洲五大联赛的数据,结果表明,新方法有助于解释联赛季节竞争平衡的变化。此外,使用面板数据模型,我们表明所提出的指数更适合于分析足球联赛总收入的可变性。我们还讨论了如何在不同的建模假设下轻松地扩展方法以开发其他基于目标的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A goal based index to analyze the competitive balance of a football league
Abstract Competitive balance in a football league is extremely important from the perspective of economic growth of the industry. Many researchers have earlier proposed different measures of competitive balance, which are primarily adapted from standard economic theory. However, these measures fail to capture the finer nuances of the game. In this work, we discuss a new framework which is more suitable for a football league. First, we present a mathematical proof of a theoretically optimal situation where a football league becomes perfectly balanced. Next, a goal based index for competitive balance is developed. We present relevant theoretical results and show how the proposed index can be used to formally test for the presence of imbalance. The methods are implemented on the data from the top five European leagues, and it shows that the new approach can be helpful in explaining the changes in the seasonal competitive balance of the leagues. Further, using panel data models, we show that the proposed index is more suitable to analyze the variability in total revenues of the football leagues. We also discuss how the methods can be easily extended to develop other goal-based indices under different modeling assumptions.
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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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