Literature DB >> 24054894

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

Ricardo Duarte1, Duarte Araújo, Vanda Correia, Keith Davids, Pedro Marques, Michael J Richardson.   

Abstract

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 Elsevier B.V. All rights reserved.

Keywords:  3020; 3720; Cluster phase analysis; Collective systems; Interpersonal dynamics; Sports teams; Team synchrony

Mesh:

Year:  2013        PMID: 24054894     DOI: 10.1016/j.humov.2013.01.011

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  17 in total

1.  Effects of Spatiotemporal Constraints and Age on the Interactions of Soccer Players when Competing for Ball Possession.

Authors:  Marcos R T P Menuchi; Antônio R P Moro; Paulo E Ambrósio; César A B Pariente; Duarte Araújo
Journal:  J Sports Sci Med       Date:  2018-08-14       Impact factor: 2.988

2.  A Systematic Review of Collective Tactical Behaviours in Football Using Positional Data.

Authors:  Benedict Low; Diogo Coutinho; Bruno Gonçalves; Robert Rein; Daniel Memmert; Jaime Sampaio
Journal:  Sports Med       Date:  2020-02       Impact factor: 11.136

3.  How Training Tools Physically Linking Soccer Players Improve Interpersonal Coordination.

Authors:  Keiko Yokoyama; Noriyuki Tabuchi; Duarte Araújo; Yuji Yamamoto
Journal:  J Sports Sci Med       Date:  2020-05-01       Impact factor: 2.988

4.  Embodiment of intersubjective time: relational dynamics as attractors in the temporal coordination of interpersonal behaviors and experiences.

Authors:  Julien Laroche; Anna Maria Berardi; Eric Brangier
Journal:  Front Psychol       Date:  2014-10-31

5.  Team Synergies in Sport: Theory and Measures.

Authors:  Duarte Araújo; Keith Davids
Journal:  Front Psychol       Date:  2016-09-21

6.  A reduced-dimensionality approach to uncovering dyadic modes of body motion in conversations.

Authors:  Guy Gaziv; Lior Noy; Yuvalal Liron; Uri Alon
Journal:  PLoS One       Date:  2017-01-31       Impact factor: 3.240

7.  Exploring Team Passing Networks and Player Movement Dynamics in Youth Association Football.

Authors:  Bruno Gonçalves; Diogo Coutinho; Sara Santos; Carlos Lago-Penas; Sergio Jiménez; Jaime Sampaio
Journal:  PLoS One       Date:  2017-01-31       Impact factor: 3.240

8.  Pursuing Collective Synchrony in Teams: A Regime-Switching Dynamic Factor Model of Speed Similarity in Soccer.

Authors:  Daniel M Smith; Theodore A Walls
Journal:  Psychometrika       Date:  2021-06-18       Impact factor: 2.290

9.  Competing with lower level opponents decreases intra-team movement synchronization and time-motion demands during pre-season soccer matches.

Authors:  Hugo Folgado; Ricardo Duarte; Orlando Fernandes; Jaime Sampaio
Journal:  PLoS One       Date:  2014-05-09       Impact factor: 3.240

Review 10.  Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science.

Authors:  Robert Rein; Daniel Memmert
Journal:  Springerplus       Date:  2016-08-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.