Table 3 Application scenarios of AI technology in football training.

Technological level

In campus training sessions, coaches can install cameras in football fields beforehand to capture athletes’ standard kicking movements during targeted technical training and instruction. Further technical analysis can be conducted by obtaining the three-dimensional spatial coordinates of key joints and inputting them into football teaching motion and animation software. Data results are presented, allowing players to compare their actions segment by segment with the standard actions displayed in animated models. This facilitates the quick identification of shortcomings and enables targeted adjustments. This method fully realizes real-time interaction between real and virtual scenarios and facilitates quantitative analysis of students’ actions by teachers, helping correct irregular local movements. This innovative approach transforms the sports teaching mode from pure theory to vivid and intuitive three-dimensional animation teaching, driving the transformation of instructional forms towards intelligence

Data analysis level

Through automatically generated data reports, coaches can comprehensively understand the performance of each child in matches. With the factual information presented by the data, coaches can quantitatively evaluate the matches, enabling children to understand their strengths and weaknesses. This is crucial for improving coaches’ management level in subsequent training processes and ultimately achieving the goal of enhancing football skills

Tactical level

Before starting a class, coaches determine the content of tactical training and input it into the system, such as the tactical requirements for the dispersed running directions and passing choices of forward players during counterattacks. Once the coach announces the training content, players begin the practical training. If a player’s running direction and passing choice deviate from the coach’s set content, the system immediately alerts the coach and provides correction. Additionally, when players practice the training, if the tactics are executed correctly, but the player data in the system shows a mismatch between the coach’s tactics and the player’s choices, resulting in unsatisfactory outcomes, the system promptly notifies the coach and uploads the training video to the terminal for the coach to summarize the training experience and optimize the training plan. This process ensures the accuracy of tactical training and provides timely feedback to coaches, further improving the effectiveness of training