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dc.contributor.authorHåland, Else Marie
dc.contributor.authorWiig, Astrid Salte
dc.contributor.authorHvattum, Lars Magnus
dc.contributor.authorStålhane, Magnus
dc.date.accessioned2021-02-12T11:29:25Z
dc.date.available2021-02-12T11:29:25Z
dc.date.created2020-08-28T14:24:34Z
dc.date.issued2020
dc.identifier.citationJournal of Quantitative Analysis in Sports (JQAS). 2020, 16 (4), 311-323.en_US
dc.identifier.issn1559-0410
dc.identifier.urihttps://hdl.handle.net/11250/2727710
dc.description.abstractIn association football, a network flow motif describes how distinct players from a team are involved in a passing sequence. The flow motif encodes whether the same players appear several times in a passing sequence, and in which order the players make passes. This information has previously been used to classify the passing style of different teams. In this work, flow motifs are analyzed in terms of their effectiveness in terms of generating shots. Data from four seasons of the Norwegian top division are analyzed, using flow motifs representing subsequences of three passes. The analysis is performed with a generalized additive model (GAM), with a range of explanatory variables included. Findings include that motifs with fewer distinct players are less effective, and that motifs are more likely to lead to shots if the passes in the motif utilize a bigger area of the pitch. Keywords: generalized additive model, passing, regression, socceren_US
dc.language.isoengen_US
dc.publisherDe Gryuteren_US
dc.relation.urihttps://doi.org/10.1515/jqas-2019-0097
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleEvaluating the effectiveness of different network flow motifs in association footballen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber311-323en_US
dc.source.volume16en_US
dc.source.journalJournal of Quantitative Analysis in Sports (JQAS)en_US
dc.source.issue4en_US
dc.identifier.doi10.1515/jqas-2019-0097
dc.identifier.cristin1825805
dc.description.localcodeOpen Access. © 2020 Else Marie Håland et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 International License.en_US
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.fulltextoriginal
cristin.qualitycode1


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