How do Elite Soccer Teams Perform to Ball Recovery? Effects of Tactical Modelling and Contextual Variables on the Defensive Patterns of Play

Autor/a

Fernandes, Tiago

Camerino Foguet, Oleguer

Garganta, Julio

Hileno González, Raúl

Barreira, Daniel

Data de publicació

2020-10-23T12:31:42Z

2020-10-23T12:31:42Z

2020



Resum

Researchers in soccer match analysis have been using limited procedures to express the dynamics of the game and mainly focus on the attack. Therefore, the aims of this paper were to detect the successful teams’ ball recovery defensive patterns of play and study the influence of tactical modelling, halves, match status, opponent quality and stage competition on those patterns. The sample consisted of 1323 situations of defensive ball possession of the semifinalist teams from the 2014 FIFA World Cup play-offs, which was collected by a valid and reliable observational instrument (Soccer-Defence). The Kruskal-Wallis H, Mann-Whitney U, Chi-square, Z-, multinomial logistic regression tests and sequential analysis (p < .05; z > 1.96) were used accordingly to test the differences and associations among and within teams of tactical modelling, tactical-technical behaviours and contextual variables to ball recovery. We found that among teams ball recovery differed in duration; H(3) = 14.958, p = .002. Germany were more likely to perform ball recovery by the goalkeeper than Argentina (p = .04; OR = 0.47) or the Netherlands (p < .05; OR = 0.50). Nevertheless, Brazil was the least likely to concede a shot off goal. Teams facing lower-ranked opponents were 0.63 times less likely to perform ball recovery by interception (p <.001). Additionally, sequential analysis illustrated that teams varied between central and lateral high-pressure zones before ball recovery in lower zones of the field. Finally, coaches could use such findings to design training exercises, create their own style of play, and set strategies.


The authors are thankful to the FIFA Films database archive for providing the public footages of matches and to Dr. John Hendrickx for helping with the perturbation analysis of multinomial logistic regression models. Finally, the authors gratefully acknowledge the support of INEFC (National Institute of Physical Education of Catalonia) and the support of two Spanish government projects (Ministerio de Economía y Competitividad): (1) La actividad física y el deporte como potenciadores del estilo de vida saludable: Evaluación del comportamiento deportivo desde metodologías no intrusivas (Grant number DEP2015-66069-P); (2) Avances metodológicos y tecnológicos en el estudio observacional del comportamiento deportivo (PSI2015-71947-REDP); and the support of the Generalitat de Catalunya Research Group, Research group and innovation in designs (GRID). Technology and multimedia and digital application to observational designs. (Grant number 2017 SGR 1405).

Tipus de document

Article
Versió publicada

Llengua

Anglès

Matèries i paraules clau

Match analysis; Defensive phase; Tactics

Publicat per

Sciendo

Documents relacionats

info:eu-repo/grantAgreement/MINECO//PSI2015-71947-REDT/ES/AVANCES METODOLOGICOS Y TECNOLOGICOS EN EL ESTUDIO OBSERVACIONAL DEL COMPORTAMIENTO DEPORTIVO/

info:eu-repo/grantAgreement/MINECO//DEP2015-66069-P/ES/LA ACTIVIDAD FISICA Y EL DEPORTE COMO POTENCIADORES DEL ESTILO DE VIDA SALUDABLE: EVALUACION DEL COMPORTAMIENTO DEPORTIVOS DESDE METODOLOGIAS NO INTRUSIVAS/

Reproducció del document publicat a https://doi.org/10.2478/hukin-2019-0141

Journal of Human Kinetics, 2020, vol. 73, núm. 1, p. 165-179

Drets

cc-by-nc-nd (c) Fernandes et al., 2020

http://creativecommons.org/licenses/by-nc-nd/4.0/

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