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Match Analysis of Soccer Refereeing Using Spatiotemporal Data: A Case Study

dc.contributor.authorGonçalves, Bruno
dc.contributor.authorCoutinho, Diogo
dc.contributor.authorTravassos, Bruno
dc.contributor.authorBrito, João
dc.contributor.authorFigueiredo, Pedro
dc.date.accessioned2022-11-21T14:56:58Z
dc.date.available2022-11-21T14:56:58Z
dc.date.issued2021-04-05
dc.description.abstractThis case study explored how spatiotemporal data can develop key metrics to evaluate and understand elite soccer referees’ performance during one elite soccer match. The dynamic position of players from both teams, the ball and three elite referees allowed to capture the following performance metrics: (i) assistant referees: alignment with the second last defender; (ii) referee: referee diagonal movement—a position density was computed and a principal component analysis was carried to identify the directions of greatest variability; and (iii) referee: assessing the distance from the referee to the ball. All computations were processed when the ball was in-play and separated by 1st and 2nd halves. The first metric showed an alignment lower than 1 m between the assistant referee and the second last defender. The second metric showed that in the 1st half, the referee position ellipsis area was 548 m2, which increased during the 2nd half (671 m2). The third metric showed an increase in the distance from the referee to the ball and >80% of the distance between 5–30 m during the 2nd half. The findings may be used as a starting point to elaborate normative behavior models from the referee’s movement performance in soccer.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGonçalves, B.; Coutinho, D.; Travassos, B.; Brito, J.; Figueiredo, P. Match Analysis of Soccer Refereeing Using Spatiotemporal Data: A Case Study. Sensors 2021, 21, 2541. https://doi.org/ 10.3390/s21072541pt_PT
dc.identifier.doi10.3390/s21072541pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/12412
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Center in Sports Sciences, Health and Human Development
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPerformance analysispt_PT
dc.subjectTactical positioningpt_PT
dc.titleMatch Analysis of Soccer Refereeing Using Spatiotemporal Data: A Case Studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Center in Sports Sciences, Health and Human Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04045%2F2020/PT
oaire.citation.issue7pt_PT
oaire.citation.startPage2541pt_PT
oaire.citation.titleSensorspt_PT
oaire.citation.volume21pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameGonçalves
person.familyNameCoutinho
person.familyNameTravassos
person.familyNameFigueiredo
person.givenNameBruno
person.givenNameDiogo
person.givenNameBruno
person.givenNamePedro
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person.identifier.orcid0000-0002-2165-2687
person.identifier.orcid0000-0003-1301-1078
person.identifier.orcid0000-0001-5515-3694
person.identifier.ridM-5361-2013
person.identifier.ridH-7313-2016
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person.identifier.scopus-author-id55735247900
person.identifier.scopus-author-id36490697400
person.identifier.scopus-author-id23099660500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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