Women’s beach handball game statistics

Author:

Þorgeirsson Sveinn1,Lozano Demetrio2,Zapardiel Juan C.3,Jimenez Francisco4,Sekulić Damir5,Saavedra Jose M.6

Affiliation:

1. Physical Activity, Physical Education, Sport and Health Research Centre, Sports Science Department, School of Social Sciences, Reykjavik University, Iceland; Faculty of Kinesiology, University of Split, Split, Croatia

2. Universidad San Jorge, Zaragoza, Spain

3. Biomedic Sciences Department, University of Alcalá, Alcalá de Henares, Spain

4. Group of Research and Teaching Innovation in Physical Activity and Sport, University of La Laguna, La Laguna, Spain

5. Faculty of Kinesiology, University of Split, Split, Croatia

6. Physical Activity, Physical Education, Sport and Health Research Centre, Sports Science Department, School of Social Sciences, Reykjavik University, Iceland

Abstract

The objectives of the present study were: (i) to compare beach handball game-related statistics by match outcome (winning and losing teams), and (ii) to identify characteristics that discriminate performances in the match. The game-related statistics of the 72 women’s matches played in the VIII Women’s Beach Handball World Championship (2018) were analysed. The game-related statistics were taken from the official Web page. A validation of the data showed their reliability to be very good (the inter-observer mean reliability was α=0.82 and the intra-observer mean was α=0.86). For the differences between winning/losing teams a parametric (unpaired t-test) or non-parametric (Mann-Whitney U test) test was applied depending on whether the variable met or did not meet normality, respectively. A stepwise discriminant analysis was then performed to determine the variables that predicted performance (victory or defeat). Five variables showed differences between the winning and losing teams: total points (p<.001; ES=1.09), technical faults (p<.001; ES=‑0.96), the number of players with either negative (p<.001; ES=‑0.86) or positive (p<.001; ES=1.05) valuations and overall valuation (p<.001; ES=1.29). The predictive model correctly classified 80.6% of the matches using two variables (Wilks’s λ=0.618; canonical correlation index=0.618): overall valuation and GK shots.

Publisher

Faculty of Kinesiology, University of Zagreb

Subject

Physical Therapy, Sports Therapy and Rehabilitation

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