Cargando…
Validation of a motion model for soccer players’ sprint by means of tracking data
In soccer game analysis, the widespread availability of play-by-play and tracking data has made it possible to test mathematical models that have been discussed mainly theoretically. One of the essential models in soccer game analysis is a motion model that predicts the arrival point of a player in...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845223/ https://www.ncbi.nlm.nih.gov/pubmed/36650263 http://dx.doi.org/10.1038/s41598-023-27999-1 |
_version_ | 1784870843185102848 |
---|---|
author | Narizuka, Takuma Takizawa, Kenta Yamazaki, Yoshihiro |
author_facet | Narizuka, Takuma Takizawa, Kenta Yamazaki, Yoshihiro |
author_sort | Narizuka, Takuma |
collection | PubMed |
description | In soccer game analysis, the widespread availability of play-by-play and tracking data has made it possible to test mathematical models that have been discussed mainly theoretically. One of the essential models in soccer game analysis is a motion model that predicts the arrival point of a player in t s. Although many space evaluation and pass prediction methods rely on motion models, the validity of each has not been fully clarified. This study focuses on the motion model proposed by Fujimura and Sugihara (Fujimura–Sugihara model) under sprint conditions based on the equation of motion. A previous study indicated that the Fujimura–Sugihara model is ineffective for soccer games because it generates a circular arrival region. This study aims to examine the validity of the Fujimura–Sugihara model using soccer tracking data. Specifically, we quantitatively compare the arrival regions of players between the model and real data. We show that the boundary of the player’s arrival region is circular rather than elliptical, which is consistent with the model. We also show that the initial speed dependence of the arrival region satisfies the solution of the model. Furthermore, we propose a method for estimating valid kinetic parameters in the model directly from tracking data and discuss the limitations of the model for soccer games based on the estimated parameters. |
format | Online Article Text |
id | pubmed-9845223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98452232023-01-19 Validation of a motion model for soccer players’ sprint by means of tracking data Narizuka, Takuma Takizawa, Kenta Yamazaki, Yoshihiro Sci Rep Article In soccer game analysis, the widespread availability of play-by-play and tracking data has made it possible to test mathematical models that have been discussed mainly theoretically. One of the essential models in soccer game analysis is a motion model that predicts the arrival point of a player in t s. Although many space evaluation and pass prediction methods rely on motion models, the validity of each has not been fully clarified. This study focuses on the motion model proposed by Fujimura and Sugihara (Fujimura–Sugihara model) under sprint conditions based on the equation of motion. A previous study indicated that the Fujimura–Sugihara model is ineffective for soccer games because it generates a circular arrival region. This study aims to examine the validity of the Fujimura–Sugihara model using soccer tracking data. Specifically, we quantitatively compare the arrival regions of players between the model and real data. We show that the boundary of the player’s arrival region is circular rather than elliptical, which is consistent with the model. We also show that the initial speed dependence of the arrival region satisfies the solution of the model. Furthermore, we propose a method for estimating valid kinetic parameters in the model directly from tracking data and discuss the limitations of the model for soccer games based on the estimated parameters. Nature Publishing Group UK 2023-01-17 /pmc/articles/PMC9845223/ /pubmed/36650263 http://dx.doi.org/10.1038/s41598-023-27999-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Narizuka, Takuma Takizawa, Kenta Yamazaki, Yoshihiro Validation of a motion model for soccer players’ sprint by means of tracking data |
title | Validation of a motion model for soccer players’ sprint by means of tracking data |
title_full | Validation of a motion model for soccer players’ sprint by means of tracking data |
title_fullStr | Validation of a motion model for soccer players’ sprint by means of tracking data |
title_full_unstemmed | Validation of a motion model for soccer players’ sprint by means of tracking data |
title_short | Validation of a motion model for soccer players’ sprint by means of tracking data |
title_sort | validation of a motion model for soccer players’ sprint by means of tracking data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845223/ https://www.ncbi.nlm.nih.gov/pubmed/36650263 http://dx.doi.org/10.1038/s41598-023-27999-1 |
work_keys_str_mv | AT narizukatakuma validationofamotionmodelforsoccerplayerssprintbymeansoftrackingdata AT takizawakenta validationofamotionmodelforsoccerplayerssprintbymeansoftrackingdata AT yamazakiyoshihiro validationofamotionmodelforsoccerplayerssprintbymeansoftrackingdata |