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Improving women football tactics analysis by using extreme learning and accumulated optimization algorithm.
Jun Li1, Mohammad Khishe2,3, Banar Fareed Ibrahim4
1School of Football, Chengdu Sport University, Chengdu, China.
Scientific Reports
|November 29, 2025
Summary
This study introduces a new deep-learning framework with the Accumulated Chimp Optimization Algorithm (ACHOA) to analyze women
Area of Science:
- Sports Science and Analytics
- Artificial Intelligence in Sports
- Machine Learning for Performance Analysis
Background:
- Traditional methods for analyzing women's football strategies, such as Deep Convolutional Neural Networks (DCNN), are computationally intensive and unsuitable for real-time applications.
- Existing Deep Extreme Learning Machines (DELM) models suffer from unreliable forecasting due to random factor selection, impacting accuracy.
- There is a need for advanced analytical frameworks to accurately assess player performance and team tactics in women's football.
Purpose of the Study:
- To introduce a novel deep-learning framework for analyzing women's football strategies.
- To develop the Accumulated Chimp Optimization Algorithm (ACHOA) to enhance the reliability and accuracy of predictive models.
- To enable real-time performance monitoring and tactical analysis in women's soccer.
Main Methods:
- Development of the Accumulated Chimp Optimization Algorithm (ACHOA) to stabilize parameters in Deep Extreme Learning Machines (DELM).
- Implementation of an ACHOA-enhanced DELM model for analyzing player effectiveness, skill estimation, and positional errors from video frames.
- Training and validation of the model using real-world video data from the 2021-2022 UEFA Women's Champions League.
Main Results:
- The ACHOA-enhanced DELM model achieved over 95% classification accuracy on women's football video data.
- The proposed method demonstrated improved agreement between model-derived factors and expert evaluations.
- The model's real-time monitoring capabilities were validated, showing potential for tactical adjustments.
Conclusions:
- The ACHOA algorithm significantly enhances the reliability and performance of DELM models for sports analytics.
- The developed framework provides a robust tool for detailed player and team strategy analysis in women's football.
- This research offers a pathway for improved tactical decision-making, performance metrics, and pre-game strategy development in women's soccer.
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