WOMEN’S BEACH HANDBALL GAME STATISTICS: DIFFERENCES AND PREDICTIVE POWER FOR WINNING AND LOSING TEAMS

Authors

  • Sveinn Þorgeirsson Physical Activity, Physical Education, Sport and Health Research Centre, Sports Science Department, School of Social Sciences, Reykjavik, Iceland; Faculty of Kinesiology, Split, Croatia.
  • Demetrio Lozano Universidad San Jorge, Zaragoza, Spain
  • Juan C. Zapardiel Biomedic Sciences Department, University of Alcalá, Alcalá de Henares, Spain
  • Francisco Jimenez Group of Research and Teaching Innovation in Physical Activity and Sport, University of La Laguna, La Laguna, Spain.
  • Damir Sekulic Faculty of Kinesiology, University of Split, Split, Croatia.
  • Jose M. Saavedra 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.

Keywords: Performance, goal, goalkeeper, shot, block.

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Published

2022-07-01

How to Cite

Þorgeirsson, S., Lozano, D., Zapardiel, J. C., Jimenez, F., Sekulic, D., & Saavedra, J. M. . (2022). WOMEN’S BEACH HANDBALL GAME STATISTICS: DIFFERENCES AND PREDICTIVE POWER FOR WINNING AND LOSING TEAMS. Kinesiology, 54(1), 126–132. Retrieved from https://hrcak.srce.hr/ojs/index.php/kinesiology/article/view/20834

Issue

Vol. 54 No. 1 (2022)

Section

Articles

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