文章基本信息

标题：Investigating the underlying causal network on European football teams
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作者：Pedro H.R. Cerqueira ; Luiz R. Nakamura ; Rodrigo R.Pescim 等
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2017
卷号：15
期号：2
页码：293-312
出版社：Tingmao Publish Company
摘要：Football, or soccer, is considered one of the most importantcol- lective sports in the world. Managers, specialists and fans arealways trying to find out the important keys to have a good team.The evaluation of the team quality may present many variables andsubjective concepts, and for this reason, it is not simple to answer thefollowing question: How to define quality? Another point that shouldbe considered is the importance of aspects such as offensive anddefensive: Which one is more important to measure quality of afootball team? For this task, we propose the use of a causal modelwith latent variables as a tool to measure the subjectivity of the teamquality and how it can be affected by other aspects. Information fromthe four most important football leagues in the world (England,Germany, Italy and Spain) during three seasons (2011-2012; 2012-2013;2013-2014) was collected. We defined the latent variables in themodel and evaluated the relationships among them. The results showthat the offensive aspect exert more influence on team quality thandefensive aspect, which reflects directly on the players marketstrategies.
关键词：Collective sports; latent causal models; match analysis;soccer; structural equation model.