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Discriminatory Power of Women's Handball Game-Related Statistics at the Olympic Games (2004-2016).
Saavedra, Jose M; Þorgeirsson, Sveinn; Chang, Milan; Kristjánsdóttir, Hafrún; García-Hermoso, Antonio.
Afiliación
  • Saavedra JM; Physical Activity, Physical Education, Sport and Health Research Centre (PAPESH), Sports Science Department, School of Science and Engineering, Reykjavik, Iceland.
  • Þorgeirsson S; Physical Activity, Physical Education, Sport and Health Research Centre (PAPESH), Sports Science Department, School of Science and Engineering, Reykjavik, Iceland.
  • Chang M; Physical Activity, Physical Education, Sport and Health Research Centre (PAPESH), Sports Science Department, School of Science and Engineering, Reykjavik, Iceland.
  • Kristjánsdóttir H; The Icelandic Gerontological Research Center, Reykjavik, Iceland.
  • García-Hermoso A; Physical Activity, Physical Education, Sport and Health Research Centre (PAPESH), Sports Science Department, School of Science and Engineering, Reykjavik, Iceland.
J Hum Kinet ; 62: 221-229, 2018 Jun.
Article en En | MEDLINE | ID: mdl-29922393
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Hum Kinet Año: 2018 Tipo del documento: Article País de afiliación: Islandia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Hum Kinet Año: 2018 Tipo del documento: Article País de afiliación: Islandia
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