过早结束的足球比赛最终排名的估计:以COVID-19为例

IF 1.4 4区 数学 Q2 STATISTICS & PROBABILITY
P. Gorgi, S. J. Koopman, R. Lit
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引用次数: 6

摘要

我们研究了一种替代方法来确定最终联赛表在足球比赛与过早结束。对一些国家来说,2019/2020足球赛季因COVID-19大流行而提前结束。我们提出了一种基于模型的方法,作为使用不完整排名来确定最终表格的可能替代方法。这种方法衡量球队在本赛季已进行的比赛中的表现,并通过配对比较模型预测剩余的未进行的比赛。与不完整的排名相比,该方法的主要优点是它考虑了由于赛季比赛安排而导致的表现衡量偏差。因此,基于我们提出的方法得出的队伍排名在这方面可以被认为是更加公平的。基于七个欧洲主要赛事历史数据的预测研究被用来验证该方法。实证结果表明,基于模型的方法比基于不完全排名的方法对真实最终排名的预测更准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimation of final standings in football competitions with a premature ending: the case of COVID-19

Estimation of final standings in football competitions with a premature ending: the case of COVID-19

Estimation of final standings in football competitions with a premature ending: the case of COVID-19

Estimation of final standings in football competitions with a premature ending: the case of COVID-19

We study an alternative approach to determine the final league table in football competitions with a premature ending. For several countries, a premature ending of the 2019/2020 football season has occurred due to the COVID-19 pandemic. We propose a model-based method as a possible alternative to the use of the incomplete standings to determine the final table. This method measures the performance of the teams in the matches of the season that have been played and predicts the remaining non-played matches through a paired-comparison model. The main advantage of the method compared to the incomplete standings is that it takes account of the bias in the performance measure due to the schedule of the matches in a season. Therefore, the resulting ranking of the teams based on our proposed method can be regarded as more fair in this respect. A forecasting study based on historical data of seven of the main European competitions is used to validate the method. The empirical results suggest that the model-based approach produces more accurate predictions of the true final standings than those based on the incomplete standings.

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来源期刊
Asta-Advances in Statistical Analysis
Asta-Advances in Statistical Analysis 数学-统计学与概率论
CiteScore
2.20
自引率
14.30%
发文量
39
审稿时长
>12 weeks
期刊介绍: AStA - Advances in Statistical Analysis, a journal of the German Statistical Society, is published quarterly and presents original contributions on statistical methods and applications and review articles.
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