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

Carmen Manchado, Juan Tortosa Martínez, Basilio Pueo, Juan Manuel Cortell Tormo, Helena Vila, Carmen Ferragut, Francisco Sánchez Sánchez, Sonia Busquier, Sergio Amat and Luis Javier Chirosa Ríos
Additional contact information
Carmen Manchado: Faculty of Education, University of Alicante, 03690 San Vicente del Raspeig, Spain
Juan Tortosa Martínez: Faculty of Education, University of Alicante, 03690 San Vicente del Raspeig, Spain
Basilio Pueo: Faculty of Education, University of Alicante, 03690 San Vicente del Raspeig, Spain
Juan Manuel Cortell Tormo: Faculty of Education, University of Alicante, 03690 San Vicente del Raspeig, Spain
Helena Vila: Faculty of Education, University of Vigo, 36905 Pontevedra, Spain
Carmen Ferragut: Faculty of Medicine and Health Sciences, University of Alcalá, 28871 Alcalá de Henares, Spain
Francisco Sánchez Sánchez: Faculty of Sport Science, University of Castilla La Mancha, 45071 Toledo, Spain
Sonia Busquier: Department of Applied Mathematics and Statistics, University of Cartagena, 30203 Cartagena, Spain
Sergio Amat: Department of Applied Mathematics and Statistics, University of Cartagena, 30203 Cartagena, Spain
Luis Javier Chirosa Ríos: Department of Physical Education and Sports, University of Granada, 18011 Granada, Spain

IJERPH, 2020, vol. 17, issue 18, 1-15

Abstract: 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

Keywords: running pace; running distance; competition load; LPS (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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