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Quantified Soccer Using Positional Data: A Case Study

Performance development in international soccer is undergoing a silent revolution fueled by the rapidly increasing availability of athlete quantification data and advanced analytics. Objective performance data from teams and individual players are increasingly being collected automatically during pr...

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Autores principales: Pettersen, Svein A., Johansen, Håvard D., Baptista, Ivan A. M., Halvorsen, Pål, Johansen, Dag
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6043664/
https://www.ncbi.nlm.nih.gov/pubmed/30034347
http://dx.doi.org/10.3389/fphys.2018.00866
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author Pettersen, Svein A.
Johansen, Håvard D.
Baptista, Ivan A. M.
Halvorsen, Pål
Johansen, Dag
author_facet Pettersen, Svein A.
Johansen, Håvard D.
Baptista, Ivan A. M.
Halvorsen, Pål
Johansen, Dag
author_sort Pettersen, Svein A.
collection PubMed
description Performance development in international soccer is undergoing a silent revolution fueled by the rapidly increasing availability of athlete quantification data and advanced analytics. Objective performance data from teams and individual players are increasingly being collected automatically during practices and more recently also in matches after FIFA's 2015 approval of wearables in electronic performance and tracking systems. Some clubs have even started collecting data from players outside of the sport arenas. Further algorithmic analysis of these data might provide vital insights for individual training personalization and injury prevention, and also provide a foundation for evidence-based decisions for team performance improvements. This paper presents our experiences from using a detailed radio-based wearable positioning data system in an elite soccer club. We demonstrate how such a system can detect and find anomalies, trends, and insights vital for individual athletic and soccer team performance development. As an example, during a normal microcycle (6 days) full backs only covered 26% of the sprint distance they covered in the next match. This indicates that practitioners must carefully consider to proximity size and physical work pattern in microcycles to better resemble match performance. We also compare and discuss the accuracy between radio waves and GPS in sampling tracking data. Finally, we present how we are extending the radio-based positional system with a novel soccer analytics annotation system, and a real-time video processing system using a video camera array. This provides a novel toolkit for modern forward-looking soccer coaches that we hope to integrate in future studies.
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spelling pubmed-60436642018-07-20 Quantified Soccer Using Positional Data: A Case Study Pettersen, Svein A. Johansen, Håvard D. Baptista, Ivan A. M. Halvorsen, Pål Johansen, Dag Front Physiol Physiology Performance development in international soccer is undergoing a silent revolution fueled by the rapidly increasing availability of athlete quantification data and advanced analytics. Objective performance data from teams and individual players are increasingly being collected automatically during practices and more recently also in matches after FIFA's 2015 approval of wearables in electronic performance and tracking systems. Some clubs have even started collecting data from players outside of the sport arenas. Further algorithmic analysis of these data might provide vital insights for individual training personalization and injury prevention, and also provide a foundation for evidence-based decisions for team performance improvements. This paper presents our experiences from using a detailed radio-based wearable positioning data system in an elite soccer club. We demonstrate how such a system can detect and find anomalies, trends, and insights vital for individual athletic and soccer team performance development. As an example, during a normal microcycle (6 days) full backs only covered 26% of the sprint distance they covered in the next match. This indicates that practitioners must carefully consider to proximity size and physical work pattern in microcycles to better resemble match performance. We also compare and discuss the accuracy between radio waves and GPS in sampling tracking data. Finally, we present how we are extending the radio-based positional system with a novel soccer analytics annotation system, and a real-time video processing system using a video camera array. This provides a novel toolkit for modern forward-looking soccer coaches that we hope to integrate in future studies. Frontiers Media S.A. 2018-07-06 /pmc/articles/PMC6043664/ /pubmed/30034347 http://dx.doi.org/10.3389/fphys.2018.00866 Text en Copyright © 2018 Pettersen, Johansen, Baptista, Halvorsen and Johansen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Pettersen, Svein A.
Johansen, Håvard D.
Baptista, Ivan A. M.
Halvorsen, Pål
Johansen, Dag
Quantified Soccer Using Positional Data: A Case Study
title Quantified Soccer Using Positional Data: A Case Study
title_full Quantified Soccer Using Positional Data: A Case Study
title_fullStr Quantified Soccer Using Positional Data: A Case Study
title_full_unstemmed Quantified Soccer Using Positional Data: A Case Study
title_short Quantified Soccer Using Positional Data: A Case Study
title_sort quantified soccer using positional data: a case study
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6043664/
https://www.ncbi.nlm.nih.gov/pubmed/30034347
http://dx.doi.org/10.3389/fphys.2018.00866
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