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Using Optical Tracking System Data to Measure Team Synergic Behavior: Synchronization of Player-Ball-Goal Angles in a Football Match
The ecological dynamics approach to interpersonal relationships provides theoretical support to the use of kinematic data, obtained with sensor-based systems, in which players of a team are linked mainly by information from the performance environment. Our goal was to capture the properties of syner...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506562/ https://www.ncbi.nlm.nih.gov/pubmed/32899219 http://dx.doi.org/10.3390/s20174990 |
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author | Carrilho, Daniel Santos Couceiro, Micael Brito, João Figueiredo, Pedro Lopes, Rui J. Araújo, Duarte |
author_facet | Carrilho, Daniel Santos Couceiro, Micael Brito, João Figueiredo, Pedro Lopes, Rui J. Araújo, Duarte |
author_sort | Carrilho, Daniel |
collection | PubMed |
description | The ecological dynamics approach to interpersonal relationships provides theoretical support to the use of kinematic data, obtained with sensor-based systems, in which players of a team are linked mainly by information from the performance environment. Our goal was to capture the properties of synergic behavior in football, using spatiotemporal data from one match of the 2018 FIFA WORLD CUP RUSSIA, to explore the application of player-ball-goal angles in cluster phase analysis. Linear mixed effects models were used to test the statistical significance of different effects, such as: team, half(-time), role and pitch zones. Results showed that the cluster phase values (synchronization) for the home team, had a [Formula: see text] increase with respect to the away team ([Formula: see text]) and that changing the role from with ball to without ball increased synchronization by [Formula: see text] ([Formula: see text]). The interaction between effects was also significant. The player-team relative phase, the player-ball-goal angles relative frequency and the team configurations, showed that variations of synchronization might indicate critical performance changes (ball possession changes, goals scored, etc.). This study captured the ongoing player-environment link and the properties of team synergic behavior, supporting the use of sensor-based data computations in the development of relevant indicators for tactical analysis in sports. |
format | Online Article Text |
id | pubmed-7506562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75065622020-09-26 Using Optical Tracking System Data to Measure Team Synergic Behavior: Synchronization of Player-Ball-Goal Angles in a Football Match Carrilho, Daniel Santos Couceiro, Micael Brito, João Figueiredo, Pedro Lopes, Rui J. Araújo, Duarte Sensors (Basel) Article The ecological dynamics approach to interpersonal relationships provides theoretical support to the use of kinematic data, obtained with sensor-based systems, in which players of a team are linked mainly by information from the performance environment. Our goal was to capture the properties of synergic behavior in football, using spatiotemporal data from one match of the 2018 FIFA WORLD CUP RUSSIA, to explore the application of player-ball-goal angles in cluster phase analysis. Linear mixed effects models were used to test the statistical significance of different effects, such as: team, half(-time), role and pitch zones. Results showed that the cluster phase values (synchronization) for the home team, had a [Formula: see text] increase with respect to the away team ([Formula: see text]) and that changing the role from with ball to without ball increased synchronization by [Formula: see text] ([Formula: see text]). The interaction between effects was also significant. The player-team relative phase, the player-ball-goal angles relative frequency and the team configurations, showed that variations of synchronization might indicate critical performance changes (ball possession changes, goals scored, etc.). This study captured the ongoing player-environment link and the properties of team synergic behavior, supporting the use of sensor-based data computations in the development of relevant indicators for tactical analysis in sports. MDPI 2020-09-03 /pmc/articles/PMC7506562/ /pubmed/32899219 http://dx.doi.org/10.3390/s20174990 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Carrilho, Daniel Santos Couceiro, Micael Brito, João Figueiredo, Pedro Lopes, Rui J. Araújo, Duarte Using Optical Tracking System Data to Measure Team Synergic Behavior: Synchronization of Player-Ball-Goal Angles in a Football Match |
title | Using Optical Tracking System Data to Measure Team Synergic Behavior: Synchronization of Player-Ball-Goal Angles in a Football Match |
title_full | Using Optical Tracking System Data to Measure Team Synergic Behavior: Synchronization of Player-Ball-Goal Angles in a Football Match |
title_fullStr | Using Optical Tracking System Data to Measure Team Synergic Behavior: Synchronization of Player-Ball-Goal Angles in a Football Match |
title_full_unstemmed | Using Optical Tracking System Data to Measure Team Synergic Behavior: Synchronization of Player-Ball-Goal Angles in a Football Match |
title_short | Using Optical Tracking System Data to Measure Team Synergic Behavior: Synchronization of Player-Ball-Goal Angles in a Football Match |
title_sort | using optical tracking system data to measure team synergic behavior: synchronization of player-ball-goal angles in a football match |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506562/ https://www.ncbi.nlm.nih.gov/pubmed/32899219 http://dx.doi.org/10.3390/s20174990 |
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