Illustration of landscapes of shooting opportunities
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/26526 |
Resumo: | The purpose of the present study was to create a model, which illustrates a landscape of opportunities for shooting in a competitive football match. For that purpose, a single football match was used, analysing a sample of 75 attacking phases (n= 75), occurring in the 30 last meters of the field. Supported by players’ relative positioning, using a bi-dimensional x and y coordinates of each player, and the ball recorded at 25 fps, the potential shot trajectories were modelled. This data was then used to create heatmaps that illustrated the shooting opportunities that were available in the first and second half in different field areas. Moreover, the time available for these shooting opportunities was estimated, as well as the angle of the shot. The obtained heatmaps provide specific information over each team's attacking patterns and were dependent on the specificity of the player’s displacements. The results have shown a significant difference between the numbers, as well as the angles, of the shooting opportunities available for each team. The space and time available for these shooting opportunities did not have a homogenous distribution over the field. This customizable tool has shown a sensibility for shooting opportunities and can be used in real-time video analysis for individual and collective performance analysis. |
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Illustration of landscapes of shooting opportunitiesSoccerShootingOpportunityHeatmapsTime and space availabilityCo-positioningAttacking patternsDomínio/Área Científica::Ciências SociaisThe purpose of the present study was to create a model, which illustrates a landscape of opportunities for shooting in a competitive football match. For that purpose, a single football match was used, analysing a sample of 75 attacking phases (n= 75), occurring in the 30 last meters of the field. Supported by players’ relative positioning, using a bi-dimensional x and y coordinates of each player, and the ball recorded at 25 fps, the potential shot trajectories were modelled. This data was then used to create heatmaps that illustrated the shooting opportunities that were available in the first and second half in different field areas. Moreover, the time available for these shooting opportunities was estimated, as well as the angle of the shot. The obtained heatmaps provide specific information over each team's attacking patterns and were dependent on the specificity of the player’s displacements. The results have shown a significant difference between the numbers, as well as the angles, of the shooting opportunities available for each team. The space and time available for these shooting opportunities did not have a homogenous distribution over the field. This customizable tool has shown a sensibility for shooting opportunities and can be used in real-time video analysis for individual and collective performance analysis.Passos, Pedro José MadalenoRepositório da Universidade de LisboaLoutfi, Ilias2022-12-20T16:32:14Z2022-05-032022-05-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/vnd.openxmlformats-officedocument.wordprocessingml.documenthttp://hdl.handle.net/10400.5/26526TID:203092872enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:55:59Zoai:www.repository.utl.pt:10400.5/26526Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:10:09.733605Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Illustration of landscapes of shooting opportunities |
title |
Illustration of landscapes of shooting opportunities |
spellingShingle |
Illustration of landscapes of shooting opportunities Loutfi, Ilias Soccer Shooting Opportunity Heatmaps Time and space availability Co-positioning Attacking patterns Domínio/Área Científica::Ciências Sociais |
title_short |
Illustration of landscapes of shooting opportunities |
title_full |
Illustration of landscapes of shooting opportunities |
title_fullStr |
Illustration of landscapes of shooting opportunities |
title_full_unstemmed |
Illustration of landscapes of shooting opportunities |
title_sort |
Illustration of landscapes of shooting opportunities |
author |
Loutfi, Ilias |
author_facet |
Loutfi, Ilias |
author_role |
author |
dc.contributor.none.fl_str_mv |
Passos, Pedro José Madaleno Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Loutfi, Ilias |
dc.subject.por.fl_str_mv |
Soccer Shooting Opportunity Heatmaps Time and space availability Co-positioning Attacking patterns Domínio/Área Científica::Ciências Sociais |
topic |
Soccer Shooting Opportunity Heatmaps Time and space availability Co-positioning Attacking patterns Domínio/Área Científica::Ciências Sociais |
description |
The purpose of the present study was to create a model, which illustrates a landscape of opportunities for shooting in a competitive football match. For that purpose, a single football match was used, analysing a sample of 75 attacking phases (n= 75), occurring in the 30 last meters of the field. Supported by players’ relative positioning, using a bi-dimensional x and y coordinates of each player, and the ball recorded at 25 fps, the potential shot trajectories were modelled. This data was then used to create heatmaps that illustrated the shooting opportunities that were available in the first and second half in different field areas. Moreover, the time available for these shooting opportunities was estimated, as well as the angle of the shot. The obtained heatmaps provide specific information over each team's attacking patterns and were dependent on the specificity of the player’s displacements. The results have shown a significant difference between the numbers, as well as the angles, of the shooting opportunities available for each team. The space and time available for these shooting opportunities did not have a homogenous distribution over the field. This customizable tool has shown a sensibility for shooting opportunities and can be used in real-time video analysis for individual and collective performance analysis. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-20T16:32:14Z 2022-05-03 2022-05-03T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/26526 TID:203092872 |
url |
http://hdl.handle.net/10400.5/26526 |
identifier_str_mv |
TID:203092872 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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