Abstract
This paper proposes a basketball player ability analysis system based on computer artificial intelligence technology. The system uses multi-dimensional data to analyze players' performance from two perspectives: season and single game. The system analyzes multiple data of players from multiple perspectives such as all players, counter players, and players themselves. This article uses the visual method to briefly and clearly show the player's ability ranking, outstanding ability and role in the team. The study found that data visualization based on user research promotes the multi-dimensional compound development of visual symbols of sports competitions, and promotes the progress of data analysis and prediction functions. The system provides a new idea for the visualization design of sports competition data that meets the needs of users.
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