With the development of artificial intelligence technology in the sports field, the role of sports data information is becoming increasingly significant. Specifically, in the application of football, artificial intelligence technology is used to scientifically mine data from human sports activities, analyze the patterns of training and competition, intelligently prevent sports injuries, analyze the competitive state of athletes, and form scientific training plans, thereby enhancing the performance of competitive sports and achieving scientific fitness and proactive health. The core concept of artificial intelligence technology is to mine data and explore the patterns within it to explain current phenomena and predict the future. Method: Using keywords such as "artificial intelligence" and "football", multiple databases, including CNKI and Google Scholar, were searched. The collected literature was analyzed to systematically summarize the current cutting-edge developments of artificial intelligence in football. Secondly, we visited websites such as "zone7" and "sportlogiq" that use artificial intelligence for sports analysis to understand the practical application of artificial intelligence in football. Additionally, we conducted online interviews with practitioners and researchers using the interview method. These interviews aimed to gain a deeper understanding of the current development direction, technical challenges, and application level of artificial intelligence in football. Through the analysis of collected literature and surveys, this study found that artificial intelligence in football data mining has the following advantages: (1) The types of collected data are increasing. (2) The ability to analyze data has significantly improved. (3) The ability to explore the deep connections between different data has significantly improved. (4) The real-time nature of data collection has improved. (5) The accuracy of data collection is. This study, starting from multiple dimensions such as physical fitness, skills, tactics, psychology, load, and injuries, found that the application of artificial intelligence in football mainly includes: (1) Analyzing the patterns of training and competition. (2) Intelligent prevention of sports injuries. (3) Analyzing the competitive state of athletes. (4) Personalized arrangement of training plans. (5) Optimization of tactical analysis. Efforts should be made to further strengthen the use of big data technology to mine sports data, further clarify the inherent laws in sports training, and improve the application of big data in sports.
Ruan et al. (Thu,) studied this question.