dc.contributor.author |
Arbués Sangüesa, Adrià |
dc.contributor.author |
Martin, Adrian |
dc.contributor.author |
Fernández, Javier |
dc.contributor.author |
Haro Ortega, Gloria |
dc.contributor.author |
Ballester, Coloma |
dc.date.accessioned |
2023-09-15T12:01:10Z |
dc.date.available |
2023-09-15T12:01:10Z |
dc.date.issued |
2021 |
dc.identifier.citation |
Arbués-Sangüesa A, Martín A, Fernández J, Haro G, Ballester C. Towards soccer pass feasibility maps: the role of players’ orientation. J Sports Sci. 2021;39(24):2772-85. DOI: 10.1080/02640414.2021.1959176 |
dc.identifier.issn |
0264-0414 |
dc.identifier.uri |
http://hdl.handle.net/10230/57891 |
dc.description.abstract |
Once player tracking has been established as one of the main data sources in soccer, many challenges have emerged for data scientists, who attempt to recognize patterns from 2D trajectories in order to build tools that might help coaches to improve the performance of their teams. For instance, pass models predict where the ball should go next during pass events. However, existing models are mainly fed with players’ location and prior data, hence omitting critical pieces of information such as players’ body orientation. This paper presents a computational model to obtain pass feasibility maps, where player orientation is exploited and analysed. As a matter of fact, orientation proves to be crucial when modelling field-of-view and correct positioning of players, since it limits the potential receiving area of all candidates. Different proposals are given to evaluate the proposed pass feasibility map, reaching 0.46 and 0.79 in Top1 and Top3 accuracy, respectively, with a + 0.2 boost obtained after merging positional data with orientation. |
dc.description.sponsorship |
This work was supported by MICINN / FEDER UE (Funded by Ministerio de Ciencia, Innovación y Universidades) under Grants PGC2018-098625-B-I00 and FJCI-2017-31758, European Comission, HORIZON 2020 under grant 777826 NoMADS, and Ministerio de Ciencia, Innovación y Universidades (Redes Temáticas de Investigación) under grant RED2018-102511-T. |
dc.format.mimetype |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
Taylor & Francis |
dc.relation.ispartof |
Journal of Sports Sciences. 2021;39(24):2772-85. |
dc.rights |
© This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Sports Sciences on 06 Aug 2021, available online: http://www.tandfonline.com/10.1080/02640414.2021.1959176. |
dc.title |
Towards soccer pass feasibility maps: the role of players’ orientation |
dc.type |
info:eu-repo/semantics/article |
dc.identifier.doi |
http://dx.doi.org/10.1080/02640414.2021.1959176 |
dc.subject.keyword |
Player orientation |
dc.subject.keyword |
soccer analytics |
dc.subject.keyword |
pass feasibility |
dc.subject.keyword |
pass maps |
dc.subject.keyword |
computational model |
dc.relation.projectID |
info:eu-repo/grantAgreement/EC/H2020/777826 |
dc.rights.accessRights |
info:eu-repo/semantics/openAccess |
dc.type.version |
info:eu-repo/semantics/acceptedVersion |