dc.contributor |
University of Iceland |
dc.contributor |
Háskóli Íslands |
dc.contributor |
Háskólinn í Reykjavík |
dc.contributor |
Reykjavik University |
dc.contributor.author |
Saavedra, Jose M |
dc.contributor.author |
Þorgeirsson, Sveinn |
dc.contributor.author |
Chang, Milan |
dc.contributor.author |
Kristjansdottir, Hafrún |
dc.contributor.author |
García-Hermoso, Antonio |
dc.date.accessioned |
2020-05-25T15:29:21Z |
dc.date.available |
2020-05-25T15:29:21Z |
dc.date.issued |
2018-06-13 |
dc.identifier.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 |
dc.identifier.issn |
1899-7562 |
dc.identifier.uri |
https://hdl.handle.net/20.500.11815/1838 |
dc.description.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. |
dc.format.extent |
221-229 |
dc.language.iso |
en |
dc.publisher |
Walter de Gruyter GmbH |
dc.relation.ispartofseries |
Journal of Human Kinetics;62(1) |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.subject |
Handbolti |
dc.subject |
Kvennaíþróttir |
dc.subject |
Performance analysis |
dc.subject |
Notational analysis |
dc.subject |
Discriminant analysis |
dc.subject |
Match analysis |
dc.subject |
Goalkeeper |
dc.subject |
Markvarsla |
dc.title |
Discriminatory Power of Women’s Handball Game-Related Statistics at the Olympic Games (2004-2016) |
dc.type |
info:eu-repo/semantics/article |
dcterms.license |
CC -NC-ND 3.0 |
dc.description.version |
Peer Reviewed |
dc.identifier.journal |
Journal of Human Kinetics |
dc.identifier.doi |
10.1515/hukin-2017-0172 |
dc.relation.url |
http://content.sciendo.com/view/journals/hukin/62/1/article-p221.xml |
dc.contributor.department |
Faculty of Health Promotion, Sports and Leisure Studies (UI) |
dc.contributor.department |
Deild heilsueflingar, íþrótta og tómstunda (HÍ) |
dc.contributor.school |
Menntavísindasvið (HÍ) |
dc.contributor.school |
School of Education (UI) |
dc.contributor.school |
Tækni- og verkfræðideild (HR) |
dc.contributor.school |
School of Science and Engineering (RU) |