Goal and shot prediction in ball possessions in FIFA Women’s World Cup 2023: a machine learning approach
IntroductionResearch in women’s football and the use of new game analysis tools have developed significantly in recent years. The objectives of this study were to create two predictive classification models to forecast the occurrence of a shot or a goal in the FIFA Women’s World Cup 2023 and to iden...
Saved in:
Main Authors: | Iyán Iván-Baragaño, Antonio Ardá, José L. Losada, Rubén Maneiro |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1516417/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fifa world cup 2018 in Russia: implementation of digital technologies
by: Yu. V. Sinchuk, et al.
Published: (2019-11-01) -
Performance analysis of 2015 FIFA Women’s World Cup Champion USA National Team
by: Aydin Senturk, et al.
Published: (2017-08-01) -
Managing football infrastructure objects after World Cup 2018: foreign experience and Russian perspectives
by: Sh. M. Ramazanov
Published: (2018-06-01) -
An exploratory analysis of citizen journalists as editorial gatewatchers
by: Maritha Pritchard, et al.
Published: (2022-10-01) -
QATAR 2022 FIFA WORLD CUP: MULTI-CULTURALISM OR CLASH OF CIVILIZATION
by: BALARABE ABUBAKAR BELLO, et al.
Published: (2024-04-01)