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dc.contributor.authorRedwood-Brown, Athalie
dc.contributor.authorO'Donoghue, Peter
dc.contributor.authorNevill, Alan
dc.contributor.authorSaward, Chris
dc.contributor.authorDyer, Nicholas
dc.contributor.authorSunderland, Caroline
dc.date.accessioned2018-08-23T09:12:27Z
dc.date.available2018-08-23T09:12:27Z
dc.date.issued2018-07-28
dc.identifier.citationRedwood-Brown, A.J., O’Donoghue, P.G., Nevill, A.M., Saward, C., Dyer, N., Sunderland, C. (2018) 'Effects of situational variables on the physical activity profiles of elite soccer players in different score line states', Scandinavian Journal of Medicine & Science in Sports. pp.1–12. https://doi.org/10.1111/sms.13271en_US
dc.identifier.issn0905-7188
dc.identifier.issn1600-0838 (online)
dc.identifier.urihttp://hdl.handle.net/10369/9909
dc.descriptionArticle published in Scandinavian Journal of Medicine & Science in Sports available at https://doi.org/10.1111/sms.13271en_US
dc.description.abstractThe aim of this study were to investigate the effects of playing position, pitch location, team ability and opposition ability on the physical activity profiles of English premier league soccer players in difference score line states. A validated automatic tracking system (Venatrack Ltd.) was used to track players in real time (at 25 Hz) for total distance covered, high speed running distance and sprint distance. This is the first study to include every team from an entire season in the English premier league, resulting in 376 games, 570 players and 35 000 rows of data from the 2011‐12 season being analyzed using multi‐level modelling. Multi‐level regression revealed an inverted “u” shaped association between total distance covered and goal difference (GD), with greater distances covered when GD was zero and reduced distances when GD was either positive or negative. A similar “u” shaped association was found with high speed distance covered at home. In addition distance covered (both at home and away) were predicted by playing position. All activity profiles (with the exception of sprint distance at home) were predicted by pitch location and time scored. Lastly, distance away from home and high speed running at home were predicted by opposition ability. Score line appears to effect player activity profiles across a number of situational factors and thus should be considered by managers when preparing and selecting teams to maximize performance. The current study also highlighted the need for more sensitive score line definitions in which to consider score line effects.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofseriesScandinavian Journal of Medicine and Science in Sports
dc.subjectgoal difference, multi-level modelling, opposition ability, pitch location, playing position, team abilityen_US
dc.titleEffects of situational variables on the physical activity profiles of elite soccer players in different score line statesen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1111/sms.13271
dcterms.dateAccepted2018-07-19
rioxxterms.funderCardiff Metropolitan Universityen_US
rioxxterms.identifier.projectCardiff Metropolian (Internal)en_US
rioxxterms.versionAMen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_US
rioxxterms.licenseref.startdate2019-07-28
rioxxterms.freetoread.startdate2019-07-28
rioxxterms.funder.project37baf166-7129-4cd4-b6a1-507454d1372een_US


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