Women's beach handball game statistics: differences and predictive power for winning and losing teams
Authors
Þorgeirsson, Sveinn; Lozano Jarque, Demetrio; Zapardiel Cortés, Juan Carlos; Jiménez Jiménez, Francisco; Sekulic, Damir; [et al.]Identifiers
Permanent link (URI): http://hdl.handle.net/10017/60152DOI: 10.26582/k.54.1.12
ISSN: 1331-1441
Date
2022-02-01Affiliation
Universidad de Alcalá. Departamento de Ciencias Biomédicas. Unidad Docente de Educación Física y DeportivaBibliographic citation
KINESIOLOGY, 2022, v. 54, n. 2022, p. 126-132
Keywords
Performance
Goal
Goalkeeper
Shot
Block
Description / Notes
7 p.
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Rights
Attribution 4.0 International (CC BY 4.0)
Access rights
info:eu-repo/semantics/openAccess
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 ?=0.82 and the intra-observer mean was ?=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 ?=0.618; canonical correlation index=0.618): overall valuation and GK shots.
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