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Artificial intelligence applications in the football codes: A systematic review
Isaiah Elstak1, Paul Salmon1, Scott McLean1
1Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Queensland, Australia.
Journal of Sports Sciences
|August 14, 2024
Summary
Artificial Intelligence (AI) is transforming football with diverse applications from player evaluation to injury prediction. This review highlights AI
Area of Science:
- Sports Science
- Data Science
- Football Analytics
Background:
- Artificial Intelligence (AI) adoption is expanding across various sectors, including sports like football.
- Understanding AI applications and potential risks in football is crucial for ensuring safe and ethical implementation.
Approach:
- A systematic review of 190 peer-reviewed articles was conducted.
- Identified AI applications, models, assessment metrics, and potential risks within football.
Key Points:
- Nine AI application areas were identified, including athlete evaluation, event detection, match prediction, and injury analysis.
- Twenty-seven AI models were found, with artificial neural networks being most common.
- Key assessment metrics included specificity, recall, precision, accuracy, and F1-score.
Conclusions:
- AI offers a wide range of current applications in football.
- Further research is needed to advance AI in football and address identified risks such as data security and bias.
