Please use this identifier to cite or link to this item: https://repositorio.usj.es/handle/123456789/955

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dc.contributor.authorPorgeirsson, Sveinn-
dc.contributor.authorLozano, Demetrio-
dc.contributor.authorZapardiel, Juan Carlos-
dc.contributor.authorJimenez, Francisco-
dc.contributor.authorSekulic, Damir-
dc.contributor.authorSaavedra, José M.-
dc.date.accessioned2023-08-01T11:48:51Z-
dc.date.available2023-08-01T11:48:51Z-
dc.date.issued2022-
dc.identifier.citationÞorgeirsson, S., Lozano, D., Zapardiel, J.C., Jimenez, F., Sekulić, D. & Saavedra, J.M. (2022). Women's beach handball game statistics: differences and predictive power for winning and losing teams. Kinesiology, 54 (1), 126-132. https://doi.org/10.26582/k.54.1.12en_US
dc.identifier.issn1848-638Xen_US
dc.identifier.urihttps://repositorio.usj.es/handle/123456789/955-
dc.description.abstractThe 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 at the VIII Women’s Beach Handball World Championship (2018) were analysed. The game-related statistics were taken from the official website. A validation of the data showed their reliability to be very good (the inter-observer mean reliability was α=0.82 and the intra-observer mean was α=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 λ=0.618; canonical correlation index=0.618): overall valuation and GK shots.en_US
dc.format.extent7 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoengen_US
dc.publisherUNIV ZAGREB, FAC KINESIOLOGYen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPerformanceen_US
dc.subjectGoalen_US
dc.subjectGoalkeeperen_US
dc.subjectShoten_US
dc.subjectBlocken_US
dc.titleWomen's beach handball game statistics: differences and predictive power for winning and losing teamsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.publicationfirstpage126en_US
dc.identifier.publicationlastpage126-132en_US
dc.identifier.doihttps://doi.org/10.26582/k.54.1.12en_US
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessen_US
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