Highlighting Shooting Opportunities in Football
The purpose of the present study was to create a two-dimensional model which illustrates a landscape of shooting opportunities at goal during a competitive football match. For that purpose, we analysed exemplar attacking subphases of each team when the ball was in the last 30 m of the field. The pla...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/9/4244 |
| _version_ | 1797601761225080832 |
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| author | Ilias Loutfi Luis Ignacio Gómez-Jordana Angel Ric João Milho Pedro Passos |
| author_facet | Ilias Loutfi Luis Ignacio Gómez-Jordana Angel Ric João Milho Pedro Passos |
| author_sort | Ilias Loutfi |
| collection | DOAJ |
| description | The purpose of the present study was to create a two-dimensional model which illustrates a landscape of shooting opportunities at goal during a competitive football match. For that purpose, we analysed exemplar attacking subphases of each team when the ball was in the last 30 m of the field. The player’s positional data (x and y coordinates) and the ball were captured at 25 fps and processed to create heatmaps that illustrated the shooting opportunities that were available in the first and second half in different field areas. Moreover, the time that the shooting opportunities were available was estimated. Results show that in the observed match, most of the shooting opportunities lasted between 1 and 2 s, with only a few opportunities lasting more than 2 s. The shooting opportunities did not display a homogenous distribution over the field. The obtained heatmaps provide valuable and specific information about each team’s shooting opportunities, allowing the identification of the most vulnerable areas. Additionally, the amount, duration, and location of the shooting opportunities have shown significant differences between teams. This customizable model is sensitive to the features of shooting opportunities and can be used in real-time video analysis for individual and collective performance analysis. |
| first_indexed | 2024-03-11T04:07:08Z |
| format | Article |
| id | doaj.art-b701cc1d41a64160b5a31473951a7557 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:07:08Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b701cc1d41a64160b5a31473951a75572023-11-17T23:41:42ZengMDPI AGSensors1424-82202023-04-01239424410.3390/s23094244Highlighting Shooting Opportunities in FootballIlias Loutfi0Luis Ignacio Gómez-Jordana1Angel Ric2João Milho3Pedro Passos4CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Estrada da Costa, 1495-751 Cruz Quebrada, PortugalCIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Estrada da Costa, 1495-751 Cruz Quebrada, PortugalComplex Systems in Sport Research Group, Institut Nacional d’Educacio Fisica de Catalunya (INEFC), University of Lleida (UdL), 25192 Lleida, SpainCIMOSM, ISEL, Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, 1959-007 Lisboa, PortugalCIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Estrada da Costa, 1495-751 Cruz Quebrada, PortugalThe purpose of the present study was to create a two-dimensional model which illustrates a landscape of shooting opportunities at goal during a competitive football match. For that purpose, we analysed exemplar attacking subphases of each team when the ball was in the last 30 m of the field. The player’s positional data (x and y coordinates) and the ball were captured at 25 fps and processed to create heatmaps that illustrated the shooting opportunities that were available in the first and second half in different field areas. Moreover, the time that the shooting opportunities were available was estimated. Results show that in the observed match, most of the shooting opportunities lasted between 1 and 2 s, with only a few opportunities lasting more than 2 s. The shooting opportunities did not display a homogenous distribution over the field. The obtained heatmaps provide valuable and specific information about each team’s shooting opportunities, allowing the identification of the most vulnerable areas. Additionally, the amount, duration, and location of the shooting opportunities have shown significant differences between teams. This customizable model is sensitive to the features of shooting opportunities and can be used in real-time video analysis for individual and collective performance analysis.https://www.mdpi.com/1424-8220/23/9/4244high-tech video camerassoccerheatmapstime and spaceco-positioningattacking patterns |
| spellingShingle | Ilias Loutfi Luis Ignacio Gómez-Jordana Angel Ric João Milho Pedro Passos Highlighting Shooting Opportunities in Football Sensors high-tech video cameras soccer heatmaps time and space co-positioning attacking patterns |
| title | Highlighting Shooting Opportunities in Football |
| title_full | Highlighting Shooting Opportunities in Football |
| title_fullStr | Highlighting Shooting Opportunities in Football |
| title_full_unstemmed | Highlighting Shooting Opportunities in Football |
| title_short | Highlighting Shooting Opportunities in Football |
| title_sort | highlighting shooting opportunities in football |
| topic | high-tech video cameras soccer heatmaps time and space co-positioning attacking patterns |
| url | https://www.mdpi.com/1424-8220/23/9/4244 |
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