Capturing meso-level synchronisation tendencies in elite football teams: A novel method for analysing collective organisation in performance

This study explores emergent synchronisation tendencies in elite football teams, emphasising how players coordinate their collective actions in sub-phases of play to achieve performance goals under various competitive constraints. Drawing on ecological dynamics, the study highlights the player-environment relationship, analysing how ecological variables, such as field position, goal targets, and locations of teammates and opponents, shape collective decision-making. A novel method, using a newly developed coordinate system for capturing meso-level synchronisation tendencies is introduced, defined by values of angle and distance of subgroups of players (simplices) to the goal. This approach is designed to capture the continuous adaptive needs of homeostatic regulation in performance, successfully observing and reporting synchronisation tendencies between players that emerge at the meso-level scale. Results demonstrated greater system sensitivity in detecting synchronisation tendencies between players, compared to traditional coordination analysis methods. The key performance variables, angle and distance to goal, are critical constraints on players’ synchronised behaviours during competitive performance. This novel method for observing and reporting synchronisation tendencies can provide team sports coaches with crucial information to effectively structure and monitor player transactions during performance and training sessions.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology
Published
2025-10-15
DOI
https://doi.org/10.1177/17543371251381490
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
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article

Capturing meso-level synchronisation tendencies in elite football teams: A novel method for analysing collective organisation in performance

Júlio Garganta, João Ribeiro, Keith Davids, Ricardo Santos et al.
Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology
Sports Performance and Training
article

Capturing meso-level synchronisation tendencies in elite football teams: A novel method for analysing collective organisation in performance

Júlio Garganta, João Ribeiro, Keith Davids, Ricardo Santos, Rui J. Lopes
article en

Abstract

This study explores emergent synchronisation tendencies in elite football teams, emphasising how players coordinate their collective actions in sub-phases of play to achieve performance goals under various competitive constraints. Drawing on ecological dynamics, the study highlights the player-environment relationship, analysing how ecological variables, such as field position, goal targets, and locations of teammates and opponents, shape collective decision-making. A novel method, using a newly developed coordinate system for capturing meso-level synchronisation tendencies is introduced, defined by values of angle and distance of subgroups of players (simplices) to the goal. This approach is designed to capture the continuous adaptive needs of homeostatic regulation in performance, successfully observing and reporting synchronisation tendencies between players that emerge at the meso-level scale. Results demonstrated greater system sensitivity in detecting synchronisation tendencies between players, compared to traditional coordination analysis methods. The key performance variables, angle and distance to goal, are critical constraints on players’ synchronised behaviours during competitive performance. This novel method for observing and reporting synchronisation tendencies can provide team sports coaches with crucial information to effectively structure and monitor player transactions during performance and training sessions.

Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology
Universidade do Porto (PT), Iscte – Instituto Universitário de Lisboa (PT), Instituto de Telecomunicações (PT), Sheffield Hallam University (GB)
Openalex Percentile: Top 62%
Sports Performance and Training
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