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首页> 外文期刊>Journal of applied statistics >Discovering associations between players' performance indicators and matches' results in the European Soccer Leagues
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Discovering associations between players' performance indicators and matches' results in the European Soccer Leagues

机译：在欧洲足球联赛中发现玩家绩效指标与匹配结果之间的关联

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摘要

The application of data mining techniques and statistical analysis to the sports field has received increasing attention in the last decade. One of the most famous sports in the world is soccer, and the present work deals with it, using data from the 2009/2010 season to the 2015/2016 season from nine European leagues extracted from the Kaggle European Soccer database. Overall performance indicators of the four roles in a soccer team (forward, midfielder, defender and goalkeeper) for home and away teams are used to investigate the relationships between them and the results of matches, and to predict the wins of the home team. The model used to answer both these demands is the Bayesian Network. This study shows that this model can be very useful for mining the relations between players' performance indicators and for improving knowledge of the game strategies applied by coaches in different leagues. Moreover, it is shown that the ability to predict match results of the proposed Bayesian Network is roughly the same as that of the Naive Bayes model.
机译：数据挖掘技术的应用和统计分析对体育场地在过去十年中受到了越来越关注。世界上最着名的运动之一是足球，目前的工作涉及它，使用2009/2010赛季的数据从九欧联盟从演戏表中提取的九届欧洲足球数据库中提取的季节。家庭和外卖团队的足球队（前进，中场，后卫和守门员）的四个角色的整体绩效指标用于调查他们与比赛结果之间的关系，并预测家庭团队的胜利。用于回答这些需求的模型是贝叶斯网络。本研究表明，该模型对于挖掘玩家绩效指标之间的关系以及改善不同联赛中教练所申请的游戏策略的知识是非常有用的。此外，示出了预测所提出的贝叶斯网络的匹配结果的能力与天真贝叶斯模型大致相同。

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