2020
DOI: 10.3390/ijerph17186768
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High-Performance Handball Player’s Time-Motion Analysis by Playing Positions

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 cover… Show more

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Cited by 34 publications
(57 citation statements)
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“…The differences between the different playing positions in regards to playing time, distances covered, and running pace were determined by variance analysis one-way ANOVA, followed by Games–Howell post hoc testing, appropriate when there is a lack of homogeneity of variances. In order to determine the magnitude of each relationship, Cohen’s effect size (ES) was used with a modified classification (trivial <0.2, small 0.21–0.6, moderate 0.61–1.2, large 1.21–1.99, and very large >2.0) proposed for sports sciences [ 22 ] and used in other similar handball studies [ 13 , 21 ]. The alpha level of significance was set at p < 0.05.…”
Section: Methodsmentioning
confidence: 99%
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“…The differences between the different playing positions in regards to playing time, distances covered, and running pace were determined by variance analysis one-way ANOVA, followed by Games–Howell post hoc testing, appropriate when there is a lack of homogeneity of variances. In order to determine the magnitude of each relationship, Cohen’s effect size (ES) was used with a modified classification (trivial <0.2, small 0.21–0.6, moderate 0.61–1.2, large 1.21–1.99, and very large >2.0) proposed for sports sciences [ 22 ] and used in other similar handball studies [ 13 , 21 ]. The alpha level of significance was set at p < 0.05.…”
Section: Methodsmentioning
confidence: 99%
“…In order to overcome this inconvenience, the European Handball Federation (EHF), Select ® and Kinexon ® jointly developed the Kinexon ® tracking system for handball players (Kinexon: München, Germany; Select Sport. Glostrup, Denmark) in addition to a monitored ball, the iball, which has been recently validated [ 10 , 11 , 12 ] and used in studies on handball [ 11 , 13 ] and other team sports [ 14 ]. This technology provides us with values regarding movements, accelerations, changes of direction, jumps, as well as data on the speed at which the ball is transferred (game speed) and the speed and position of the throws in real time, opening up new possibilities in the study of handball competition requirements [ 11 ].…”
Section: Introductionmentioning
confidence: 99%
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“…Positional data are used for monitoring players’ training loads [ 1 , 2 ], activity profiles [ 3 ] or tactical performance analysis [ 4 , 5 ]. Additionally, positional information about the ball can be used for further analysis, such as the integration of ball possession [ 6 , 7 ].…”
Section: Introductionmentioning
confidence: 99%
“…Kinexon’s LPS is a widespread and commercially available system in the segment of sports tracking. This system is used in the first division of the German handball national league and also the Velux EHF Final4 to record matches since the 2019/2020 season [ 7 ]. A recent study from Fleureau et al looked at the validity of peak speed and acceleration of Kinexon’s LPS in handball specific movements [ 24 ].…”
Section: Introductionmentioning
confidence: 99%