A career handbook for professional soccer players

B. Ács, R. Kovacs, László Toka
{"title":"A career handbook for professional soccer players","authors":"B. Ács, R. Kovacs, László Toka","doi":"10.1177/17479541231155598","DOIUrl":null,"url":null,"abstract":"The success of a soccer player is not entirely pre-destined by their physical ability, talent, and motivation. There are certain decisions along the way that greatly affect the arc of their career: which skills to develop, and which club to sign a contract with. In this paper, we identify the optimal strategic choices toward multiple potential aims a soccer player can have and we seek the knowledge of what made the greatest soccer players in terms of those decisions. Our two main data sources are Transfermarkt and Sofifa from which we collect data for the period between 2007 and 2021 with 29,231 players. We perform time series analysis on skill features of soccer players, and network analysis of the players’ acquaintance graph, i.e., a graph that indicates whether two given players have ever been teammates before. Finally, we create key performance indicators to check the differences in certain features, i.e., individual player skills and connectivity attributes, between top-tier and the rest of the players, and use dynamic time warping for validation. The outcome of this work is a recommendation tool that helps players to find what needs to be improved in order to achieve their desired goals. The source code and the career advisor tool for soccer players that we have implemented are available online.","PeriodicalId":182483,"journal":{"name":"International Journal of Sports Science & Coaching","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sports Science & Coaching","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/17479541231155598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The success of a soccer player is not entirely pre-destined by their physical ability, talent, and motivation. There are certain decisions along the way that greatly affect the arc of their career: which skills to develop, and which club to sign a contract with. In this paper, we identify the optimal strategic choices toward multiple potential aims a soccer player can have and we seek the knowledge of what made the greatest soccer players in terms of those decisions. Our two main data sources are Transfermarkt and Sofifa from which we collect data for the period between 2007 and 2021 with 29,231 players. We perform time series analysis on skill features of soccer players, and network analysis of the players’ acquaintance graph, i.e., a graph that indicates whether two given players have ever been teammates before. Finally, we create key performance indicators to check the differences in certain features, i.e., individual player skills and connectivity attributes, between top-tier and the rest of the players, and use dynamic time warping for validation. The outcome of this work is a recommendation tool that helps players to find what needs to be improved in order to achieve their desired goals. The source code and the career advisor tool for soccer players that we have implemented are available online.
职业足球运动员的职业手册
足球运动员的成功并不完全是由他们的身体能力、天赋和动力所决定的。在这个过程中,有一些决定会极大地影响他们的职业生涯:培养哪些技能,与哪家俱乐部签约。在本文中,我们确定了足球运动员可能拥有的多个潜在目标的最佳战略选择,并寻求在这些决策方面造就最伟大足球运动员的知识。我们的两个主要数据来源是Transfermarkt和Sofifa,我们从中收集了2007年至2021年期间29,231名球员的数据。我们对足球运动员的技术特征进行了时间序列分析,并对球员的熟人图进行了网络分析,即表明两个给定的球员之前是否曾经是队友的图。最后,我们创建关键性能指标来检查某些特征的差异,即顶级球员和其他球员之间的个人球员技能和连接属性,并使用动态时间扭曲进行验证。这项工作的结果是一个推荐工具,帮助玩家找到需要改进的地方,以实现他们的预期目标。我们为足球运动员实现的源代码和职业生涯顾问工具可在网上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信