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High-Performance Handball Player’s Time-Motion Analysis by Playing Positions

The purpose of this study was to analyze the on-court demands of handball players during the European Handball Federation Champions League Final Four (VELUX EHF FINAL4) 2019 to define time–motion characteristics (played time; covered distances) both in offense and defense. Furthermore; we aimed to d...

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Detalles Bibliográficos
Autores principales: Manchado, Carmen, Tortosa Martínez, Juan, Pueo, Basilio, Cortell Tormo, Juan Manuel, Vila, Helena, Ferragut, Carmen, Sánchez Sánchez, Francisco, Busquier, Sonia, Amat, Sergio, Chirosa Ríos, Luis Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559068/
https://www.ncbi.nlm.nih.gov/pubmed/32957441
http://dx.doi.org/10.3390/ijerph17186768
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author Manchado, Carmen
Tortosa Martínez, Juan
Pueo, Basilio
Cortell Tormo, Juan Manuel
Vila, Helena
Ferragut, Carmen
Sánchez Sánchez, Francisco
Busquier, Sonia
Amat, Sergio
Chirosa Ríos, Luis Javier
author_facet Manchado, Carmen
Tortosa Martínez, Juan
Pueo, Basilio
Cortell Tormo, Juan Manuel
Vila, Helena
Ferragut, Carmen
Sánchez Sánchez, Francisco
Busquier, Sonia
Amat, Sergio
Chirosa Ríos, Luis Javier
author_sort Manchado, Carmen
collection PubMed
description The purpose of this study was to analyze the on-court demands of handball players during the European Handball Federation Champions League Final Four (VELUX EHF FINAL4) 2019 to define time–motion characteristics (played time; covered distances) both in offense and defense. Furthermore; we aimed to define position-specific demands and differences among them. Forty players from three teams were analyzed during the tournament using a local positioning system (LPS) for the first time in top handball. Players covered similar distances both in offense (1388.28 ± 2627.08 m), and in defense (1305.47 ± 5059.64 m) and remained on court for a similar average time (15.69 ± 8.02 min and 15.40 ± 8.94 min respectively). When locomotion activities were normalized according to the time they spent on court; significant differences were found for defense compared to offense in walking (+20%; p < 0.000; Cohen’s effect size (ES) = 1.01) and jogging (−29.6%; p = 0.000; ES = 0.90), as well as a tendency for high-intensity running (+ 25.2%; p = 0.077; ES = 0.31). Per playing position; center and left back (CB = 94.86 ± 10.98 m·min(−1); LB = 96.55 ± 24.65 m·min(−1)) showed the highest running pace in offense and mid-left; front center defender and outside right for the defense (ML = 90.38 ± 30.16 m·min(−1); FCD = 87.04 ± 14.94 m·min(−1); OR = 89.64 ± 34.93 m·min(−1)). In conclusion; profile differences existed among players’ position activity; both in offense and defense; which should be taken into account when designing specific physical training programs
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spelling pubmed-75590682020-10-29 High-Performance Handball Player’s Time-Motion Analysis by Playing Positions Manchado, Carmen Tortosa Martínez, Juan Pueo, Basilio Cortell Tormo, Juan Manuel Vila, Helena Ferragut, Carmen Sánchez Sánchez, Francisco Busquier, Sonia Amat, Sergio Chirosa Ríos, Luis Javier Int J Environ Res Public Health Article The purpose of this study was to analyze the on-court demands of handball players during the European Handball Federation Champions League Final Four (VELUX EHF FINAL4) 2019 to define time–motion characteristics (played time; covered distances) both in offense and defense. Furthermore; we aimed to define position-specific demands and differences among them. Forty players from three teams were analyzed during the tournament using a local positioning system (LPS) for the first time in top handball. Players covered similar distances both in offense (1388.28 ± 2627.08 m), and in defense (1305.47 ± 5059.64 m) and remained on court for a similar average time (15.69 ± 8.02 min and 15.40 ± 8.94 min respectively). When locomotion activities were normalized according to the time they spent on court; significant differences were found for defense compared to offense in walking (+20%; p < 0.000; Cohen’s effect size (ES) = 1.01) and jogging (−29.6%; p = 0.000; ES = 0.90), as well as a tendency for high-intensity running (+ 25.2%; p = 0.077; ES = 0.31). Per playing position; center and left back (CB = 94.86 ± 10.98 m·min(−1); LB = 96.55 ± 24.65 m·min(−1)) showed the highest running pace in offense and mid-left; front center defender and outside right for the defense (ML = 90.38 ± 30.16 m·min(−1); FCD = 87.04 ± 14.94 m·min(−1); OR = 89.64 ± 34.93 m·min(−1)). In conclusion; profile differences existed among players’ position activity; both in offense and defense; which should be taken into account when designing specific physical training programs MDPI 2020-09-17 2020-09 /pmc/articles/PMC7559068/ /pubmed/32957441 http://dx.doi.org/10.3390/ijerph17186768 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
Manchado, Carmen
Tortosa Martínez, Juan
Pueo, Basilio
Cortell Tormo, Juan Manuel
Vila, Helena
Ferragut, Carmen
Sánchez Sánchez, Francisco
Busquier, Sonia
Amat, Sergio
Chirosa Ríos, Luis Javier
High-Performance Handball Player’s Time-Motion Analysis by Playing Positions
title High-Performance Handball Player’s Time-Motion Analysis by Playing Positions
title_full High-Performance Handball Player’s Time-Motion Analysis by Playing Positions
title_fullStr High-Performance Handball Player’s Time-Motion Analysis by Playing Positions
title_full_unstemmed High-Performance Handball Player’s Time-Motion Analysis by Playing Positions
title_short High-Performance Handball Player’s Time-Motion Analysis by Playing Positions
title_sort high-performance handball player’s time-motion analysis by playing positions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559068/
https://www.ncbi.nlm.nih.gov/pubmed/32957441
http://dx.doi.org/10.3390/ijerph17186768
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