Predicting female football outcomes by machine learning: behavioural analysis of goals as high stress events
Abstract The significant emergence of women’s football has stimulated considerable scientific interest, particularly in enhancing performance and achieving success. Football’s dynamic nature with its complex interactions and contextual variables, significantly influences player performance that can...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-08-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-05490-8 |
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