Spatial movement pattern recognition in soccer based on relative player movements
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pone.0227746
Download full text from publisher
References listed on IDEAS
- Daniel Linke & Daniel Link & Martin Lames, 2018. "Validation of electronic performance and tracking systems EPTS under field conditions," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-19, July.
- Carlos Lago-Peñas & Miguel Gómez-Ruano & Gai Yang, 2017. "Styles of play in professional soccer: an approach of the Chinese Soccer Super League," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(6), pages 1073-1084, November.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Tullio Facchinetti & Rodolfo Metulini & Paola Zuccolotto, 2023. "Filtering active moments in basketball games using data from players tracking systems," Annals of Operations Research, Springer, vol. 325(1), pages 521-538, June.
- Gong, Bingnan & Zhou, Changjing & Gómez, Miguel-Ángel & Buldú, J.M., 2023. "Identifiability of Chinese football teams: A complex networks approach," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
- Claudio A. Casal & José L. Losada & Daniel Barreira & Rubén Maneiro, 2021. "Multivariate Exploratory Comparative Analysis of LaLiga Teams: Principal Component Analysis," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
- Jonas Lutz & Daniel Memmert & Dominik Raabe & Rolf Dornberger & Lars Donath, 2019. "Wearables for Integrative Performance and Tactic Analyses: Opportunities, Challenges, and Future Directions," IJERPH, MDPI, vol. 17(1), pages 1-26, December.
- Eduard Pons & Tomás García-Calvo & Ricardo Resta & Hugo Blanco & Roberto López del Campo & Jesús Díaz García & Juan José Pulido, 2019. "A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-12, August.
- Serafeim Moustakidis & Spyridon Plakias & Christos Kokkotis & Themistoklis Tsatalas & Dimitrios Tsaopoulos, 2023. "Predicting Football Team Performance with Explainable AI: Leveraging SHAP to Identify Key Team-Level Performance Metrics," Future Internet, MDPI, vol. 15(5), pages 1-18, May.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0227746. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.