4.2 Article

Competing together: Assessing the dynamics of team-team and player-team synchrony in professional association football

Journal

HUMAN MOVEMENT SCIENCE
Volume 32, Issue 4, Pages 555-566

Publisher

ELSEVIER
DOI: 10.1016/j.humov.2013.01.011

Keywords

Team synchrony; Collective systems; Interpersonal dynamics; Cluster phase analysis; Sports teams

Funding

  1. Portuguese Foundation for Science and Technology [SFRH/BD/43994/2008]
  2. Fundação para a Ciência e a Tecnologia [SFRH/BD/43994/2008] Funding Source: FCT

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This study investigated movement synchronization of players within and between teams during competitive association football performance. Cluster phase analysis was introduced as a method to assess synchronies between whole teams and between individual players with their team as a function of time, ball possession and field direction. Measures of dispersion (SD) and regularity (sample entropy - SampEn - and cross sample entropy - Cross-SampEn) were used to quantify the magnitude and structure of synchrony. Large synergistic relations within each professional team sport collective were observed, particularly in the longitudinal direction of the field (0.89 +/- 0.12) compared to the lateral direction (0.73 +/- 0.16, p < .01). The coupling between the group measures of the two teams also revealed that changes in the synchrony of each team were intimately related (Cross-SampEn values of 0.02 +/- 0.01). Interestingly, ball possession did not influence team synchronization levels. In player-team synchronization, individuals tended to be coordinated under near in-phase modes with team behavior (mean ranges between -7 and 5 degrees of relative phase). The magnitudes of variations were low, but more irregular in time, for the longitudinal (SD: 18 +/- 3 degrees; SampEn: 0.07 +/- 0.01), compared to the lateral direction (SD: 28 +/- 5 degrees; SampEn: 0.06 +/- 0.01, p < .05) on-field. Increases in regularity were also observed between the first (SampEn: 0.07 +/- 0.01) and second half (SampEn: 0.06 +/- 0.01, p < .05) of the observed competitive game. Findings suggest that the method of analysis introduced in the current study may offer a suitable tool for examining team's synchronization behaviors and the mutual influence of each team's cohesiveness in competing social collectives. (C) 2013 Elsevier B.V. All rights reserved.

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