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Discriminatory Power of Women’s Handball Game-Related Statistics at the Olympic Games (2004-2016)

Discriminatory Power of Women’s Handball Game-Related Statistics at the Olympic Games (2004-2016)


Title: Discriminatory Power of Women’s Handball Game-Related Statistics at the Olympic Games (2004-2016)
Author: Saavedra, Jose M.
Þorgeirsson, Sveinn
Chang, Milan
Kristjansdottir, Hafrún   orcid.org/0000-0003-0130-9344
García-Hermoso, Antonio
Date: 2018-06-13
Language: English
Scope: 221-229
University/Institute: University of Iceland
Háskóli Íslands
Háskólinn í Reykjavík
Reykjavik University
School: Menntavísindasvið (HÍ)
School of Education (UI)
Department: Faculty of Health Promotion, Sports and Leisure Studies (UI)
Deild heilsueflingar, íþrótta og tómstunda (HÍ)
Íþróttafræðideild (HR)
Department of sport science (RU)
Series: Journal of Human Kinetics;62(1)
ISSN: 1899-7562
DOI: 10.1515/hukin-2017-0172
Subject: Handbolti; Kvennaíþróttir; Performance analysis; Notational analysis; Discriminant analysis; Match analysis; Goalkeeper; Markvarsla
URI: https://hdl.handle.net/20.500.11815/1838

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Citation:

Saavedra, J. M., Þorgeirsson, S., Chang, M., Kristjánsdóttir, H., & García-Hermoso, A. (2018). Discriminatory Power of Women’s Handball Game-Related Statistics at the Olympic Games (2004-2016). Journal of Human Kinetics, 62, 221–229. https://doi.org/10.1515/hukin-2017-0172

Abstract:

Sports performance analysis has been a growing field of study in the last decade. However, the number of studies in handball is small. The aims of this present study were (i) to compare handball game-related statistics by the match outcome (winning and losing teams) and (ii) to identify characteristics that discriminated performance in elite women’s handball. The game-related statistics of the 236 matches played in the last four Olympic Games (Athens, Greece, 2004; Beijing, China, 2008; London, United Kingdom, 2012; and Rio de Janeiro, Brazil, 2016) were analysed. Differences between match outcomes (winning or losing teams) were determined using the chi-squared statistic, also calculating the effect sizes of the differences. A discriminant analysis was then performed applying the sample-splitting method according to match outcomes. The results showed the differences between winning and losing teams were red cards and assists. Also, the discriminant analysis selected five variables (shots, goalkeeper-blocked shots, technical fouls, steals, and goalkeeper-blocked fast-break shots) that classified correctly 83% of matches. The selected variables included offensive and defensive predictors. Coaches and players can use these results as a reference against which to assess their performance and plan training.

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CC -NC-ND 3.0

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