Abstract
| Language | English |
|---|---|
| Pages | 555-566 |
| Number of pages | 12 |
| Journal | Human Movement Science |
| Volume | 32 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
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Keywords
- team synchrony
- collective systems
- interpersonal dynamics
- cluster phase analysis
- sports teams
Cite this
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Competing together : assessing the dynamics of team-team and player-team synchrony in professional association football. / Duarte, Ricardo; Araújo, Duarte; Correia, Vanda; Davids, Keith; Marques, Pedro; Richardson, Michael J.
In: Human Movement Science, Vol. 32, No. 4, 2013, p. 555-566.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Competing together
T2 - Human Movement Science
AU - Duarte, Ricardo
AU - Araújo, Duarte
AU - Correia, Vanda
AU - Davids, Keith
AU - Marques, Pedro
AU - Richardson, Michael J.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - team synchrony
KW - collective systems
KW - interpersonal dynamics
KW - cluster phase analysis
KW - sports teams
U2 - 10.1016/j.humov.2013.01.011
DO - 10.1016/j.humov.2013.01.011
M3 - Article
VL - 32
SP - 555
EP - 566
JO - Human Movement Science
JF - Human Movement Science
SN - 0167-9457
IS - 4
ER -