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Integrating video tracking and GPS to quantify accelerations and decelerations in elite soccer

The aim of this study was to analyze the degree of agreement comparing number and distance covered in different acceleration and deceleration sections registered by a video tracking system (MEDIACOACH) and a GPS device (WIMU PRO) during official competition. Data from a Spanish professional club wer...

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Autores principales: Pons, Eduard, García-Calvo, Tomás, Cos, Francesc, Resta, Ricardo, Blanco, Hugo, López del Campo, Roberto, Díaz-García, Jesús, Pulido-González, Juan José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448836/
https://www.ncbi.nlm.nih.gov/pubmed/34535734
http://dx.doi.org/10.1038/s41598-021-97903-2
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author Pons, Eduard
García-Calvo, Tomás
Cos, Francesc
Resta, Ricardo
Blanco, Hugo
López del Campo, Roberto
Díaz-García, Jesús
Pulido-González, Juan José
author_facet Pons, Eduard
García-Calvo, Tomás
Cos, Francesc
Resta, Ricardo
Blanco, Hugo
López del Campo, Roberto
Díaz-García, Jesús
Pulido-González, Juan José
author_sort Pons, Eduard
collection PubMed
description The aim of this study was to analyze the degree of agreement comparing number and distance covered in different acceleration and deceleration sections registered by a video tracking system (MEDIACOACH) and a GPS device (WIMU PRO) during official competition. Data from a Spanish professional club were registered over the course of a season. First, the descriptive statistics presented more bursts of accelerations and decelerations in WIMU PRO than in MEDIACOACH, whereas the distances covered recorded by both systems were similar. Second, negative relationships were found (i.e., negative bias) comparing WIMU PRO to MEDIACOACH in the number of accelerations and decelerations between 0/1 m/s(2) and ½ m/s(2) (p < 0.05), and in the distances covered in accelerations and decelerations (p < 0.05) between 0/1 m/s(2) and in accelerations and decelerations registered between 2/3 m/s(2) and more than 3 m/s(2). Moreover, the differences in means (i.e., standardized mean bias) across the two devices were trivial (> 0.19) and small (0.2–0.59) for most variables. The standardized typical errors in the estimate (TEE) were moderate (0.3–0.59) and small to moderate (0.1–0.29 to 0.3–0.59), respectively. Also, the Intra class Correlation Coefficients (ICCs) for agreement and consistency between systems showed good and excellent values (> 0.90). The magnitude of change in means (%) between systems, defined as the percentage change between the numbers or values, was below 14% and 7% for number and distances covered, respectively. All scores in the smallest worthwhile change were lower than 9% and in the coefficients of variation were lower than 95% and 15%, respectively. Thus, both systems demonstrated an acceptable degree of agreement and could be useful in analyzing players’ acceleration demands in professional soccer. However, caution is required when interpreting the results and a comparison with a gold standard is required in order to validate both systems.
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spelling pubmed-84488362021-09-21 Integrating video tracking and GPS to quantify accelerations and decelerations in elite soccer Pons, Eduard García-Calvo, Tomás Cos, Francesc Resta, Ricardo Blanco, Hugo López del Campo, Roberto Díaz-García, Jesús Pulido-González, Juan José Sci Rep Article The aim of this study was to analyze the degree of agreement comparing number and distance covered in different acceleration and deceleration sections registered by a video tracking system (MEDIACOACH) and a GPS device (WIMU PRO) during official competition. Data from a Spanish professional club were registered over the course of a season. First, the descriptive statistics presented more bursts of accelerations and decelerations in WIMU PRO than in MEDIACOACH, whereas the distances covered recorded by both systems were similar. Second, negative relationships were found (i.e., negative bias) comparing WIMU PRO to MEDIACOACH in the number of accelerations and decelerations between 0/1 m/s(2) and ½ m/s(2) (p < 0.05), and in the distances covered in accelerations and decelerations (p < 0.05) between 0/1 m/s(2) and in accelerations and decelerations registered between 2/3 m/s(2) and more than 3 m/s(2). Moreover, the differences in means (i.e., standardized mean bias) across the two devices were trivial (> 0.19) and small (0.2–0.59) for most variables. The standardized typical errors in the estimate (TEE) were moderate (0.3–0.59) and small to moderate (0.1–0.29 to 0.3–0.59), respectively. Also, the Intra class Correlation Coefficients (ICCs) for agreement and consistency between systems showed good and excellent values (> 0.90). The magnitude of change in means (%) between systems, defined as the percentage change between the numbers or values, was below 14% and 7% for number and distances covered, respectively. All scores in the smallest worthwhile change were lower than 9% and in the coefficients of variation were lower than 95% and 15%, respectively. Thus, both systems demonstrated an acceptable degree of agreement and could be useful in analyzing players’ acceleration demands in professional soccer. However, caution is required when interpreting the results and a comparison with a gold standard is required in order to validate both systems. Nature Publishing Group UK 2021-09-17 /pmc/articles/PMC8448836/ /pubmed/34535734 http://dx.doi.org/10.1038/s41598-021-97903-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Pons, Eduard
García-Calvo, Tomás
Cos, Francesc
Resta, Ricardo
Blanco, Hugo
López del Campo, Roberto
Díaz-García, Jesús
Pulido-González, Juan José
Integrating video tracking and GPS to quantify accelerations and decelerations in elite soccer
title Integrating video tracking and GPS to quantify accelerations and decelerations in elite soccer
title_full Integrating video tracking and GPS to quantify accelerations and decelerations in elite soccer
title_fullStr Integrating video tracking and GPS to quantify accelerations and decelerations in elite soccer
title_full_unstemmed Integrating video tracking and GPS to quantify accelerations and decelerations in elite soccer
title_short Integrating video tracking and GPS to quantify accelerations and decelerations in elite soccer
title_sort integrating video tracking and gps to quantify accelerations and decelerations in elite soccer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448836/
https://www.ncbi.nlm.nih.gov/pubmed/34535734
http://dx.doi.org/10.1038/s41598-021-97903-2
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