Competing together: Assessing the dynamics of team-team and player-team synchrony in professional association football
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° of relative phase). The magnitudes of variations were low, but more irregular in time, for the longitudinal (SD: 18 ± 3°; SampEn: 0.07 ± 0.01), compared to the lateral direction (SD: 28 ± 5°; 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.
© Copyright 2013 Human Movement Science. Elsevier. Published by Elsevier. All rights reserved.
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| Notations: | technical and natural sciences sport games social sciences |
| Published in: | Human Movement Science |
| Language: | English |
| Published: |
Elsevier
2013
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| Online Access: | https://doi.org/10.1016/j.humov.2013.01.011 |
| Volume: | 32 |
| Issue: | 4 |
| Pages: | 555-566 |
| Document types: | article |
| Level: | advanced |