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- Title
Transfer market activities and sportive performance in European first football leagues: A dynamic network approach.
- Authors
Matesanz, David; Holzmayer, Florian; Torgler, Benno; Schmidt, Sascha L.; Ortega, Guillermo J.
- Abstract
Professional football is a globalized game in which players are the most valuable assets for clubs. In this study, we explore the evolution of the football players’ transfer network among 21 European first leagues between the seasons 1996/1997 and 2015/2016. From a topological point of view, we show that this network achieved an upper limit expansion around season 2007/2008, thereafter becoming more connected and dense. Using a machine learning approach based on Self-Organizing Maps and Principal Component Analysis we confirm that European competitions, such as the UEFA Champions League or UEFA Europa League, are indeed a “money game” where the clubs with the highest transfer spending achieve better sportive performance. Some clubs’ transfer market activities also affect domestic performance. We conclude from our findings that the relationship between transfer spending and domestic or international sportive performance might lead to substantial inequality between clubs and leagues, while potentially creating a virtuous (vicious) circle in which these variables reinforce (weaken) each other.
- Subjects
FOOTBALL League; MACHINE learning; SELF-organizing maps; CHAMPIONS League (Soccer tournament); MULTIPLE correspondence analysis (Statistics)
- Publication
PLoS ONE, 2018, Vol 13, Issue 12, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0209362