Identification and Preference of Game Styles in LaLiga Associated with Match Outcomes.


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
13 12 2019
Historique:
received: 17 11 2019
revised: 09 12 2019
accepted: 11 12 2019
entrez: 19 12 2019
pubmed: 19 12 2019
medline: 10 4 2020
Statut: epublish

Résumé

The objective was to model the teams' styles of play (SoPs) in elite football and relate them to the match result. For this, the twenty Spanish first division teams in the 2016-2017 season were analysed, using nine interaction performance indicators (IRi). A principal component (PC) analysis was applied. From two PCs four SoPs were established: deep or high-pressure defending, and elaborate or direct attack. The SoPs were distributed according to average performance obtained throughout the championship. The connection between the preferred SoP and the final result was estimated. Teams with elaborate offensive styles and teams defensively minded got better results. In addition, most of the teams showed variability in their SoP. The applications of the study are (1) the IRi have served to identify SoP and can be used as a reference to optimize team performance; (2) teams should have a varied SoP repertoire, as well as being prepared to deal with different SoPs; (3) particular player profiles should be connected with the desired SoP when creating the squad and (4) clubs should develop a varied range of SoPs at their academies.

Identifiants

pubmed: 31847147
pii: ijerph16245090
doi: 10.3390/ijerph16245090
pmc: PMC6950299
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Julen Castellano (J)

Department of Physical Education and Sport, University of the Basque Country (UPV/EHU), Vitoria, 48940 Leioa, Spain.

Miguel Pic (M)

Motor Action Research Group (GIAM), University of La Laguna, 38200 San Cristóbal de La Laguna, Spain.

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Classifications MeSH