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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). |
