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

dc.contributorUniversity of Icelanden_US
dc.contributorHáskóli Íslandsen_US
dc.contributorHáskólinn í Reykjavíken_US
dc.contributorReykjavik Universityen_US
dc.contributor.authorSaavedra, Jose M
dc.contributor.authorÞorgeirsson, Sveinn
dc.contributor.authorChang, Milan
dc.contributor.authorKristjansdottir, Hafrún
dc.contributor.authorGarcía-Hermoso, Antonio
dc.contributor.departmentFaculty of Health Promotion, Sports and Leisure Studies (UI)en_US
dc.contributor.departmentDeild heilsueflingar, íþrótta og tómstunda (HÍ)en_US
dc.contributor.schoolMenntavísindasvið (HÍ)en_US
dc.contributor.schoolSchool of Education (UI)en_US
dc.contributor.schoolTækni- og verkfræðideild (HR)is
dc.contributor.schoolSchool of Science and Engineering (RU)is
dc.date.accessioned2020-05-25T15:29:21Z
dc.date.available2020-05-25T15:29:21Z
dc.date.issued2018-06-13
dc.description.abstractSports 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.en_US
dc.description.versionPeer Revieweden_US
dc.format.extent221-229en_US
dc.identifier.citationSaavedra, 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-2017-0172en_US
dc.identifier.doi10.1515/hukin-2017-0172
dc.identifier.issn1899-7562
dc.identifier.journalJournal of Human Kineticsen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11815/1838
dc.language.isoenen_US
dc.publisherWalter de Gruyter GmbHen_US
dc.relation.ispartofseriesJournal of Human Kinetics;62(1)
dc.relation.urlhttp://content.sciendo.com/view/journals/hukin/62/1/article-p221.xmlen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHandboltien_US
dc.subjectKvennaíþróttiren_US
dc.subjectPerformance analysisen_US
dc.subjectNotational analysisen_US
dc.subjectDiscriminant analysisen_US
dc.subjectMatch analysisen_US
dc.subjectGoalkeeperen_US
dc.subjectMarkvarslaen_US
dc.titleDiscriminatory Power of Women’s Handball Game-Related Statistics at the Olympic Games (2004-2016)en_US
dc.typeinfo:eu-repo/semantics/articleen_US
dcterms.licenseCC -NC-ND 3.0en_US

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