Research on the Application of Artificial Intelligence Competition Statistics System in Event Management of University Basketball Association (CUBA)

Abstract

As a well-known campus sports brand event with extensive coverage, numerous participating universities and profound social influence, the China University Basketball Association (CUBA) has achieved sound development. With expanding tournament scale, growing match quantity and rising competitive standard, the conventional management mode featuring manual statistics, paper-based recording
and experience-driven analysis has exposed prominent drawbacks including low data collection efficiency, high error rate, limited analytical dimensions, delayed data feedback, poor operational coordination and unscientific athlete evaluation. Supported by machine vision,
deep learning, posture recognition, real-time data modeling and data visualization, the artificial intelligence-powered competition statistics
system enables automatic data collection, multi-dimensional real-time analysis, intelligent technical and tactical diagnosis, integrated tournament operation management and quantitative assessment of player competence. This paper systematically sorts out prevailing deficiencies in traditional CUBA event management, constructs an application framework of the AI statistics system covering five modules: data
collection, real-time data display, technical-tactical analysis, tournament operation and athlete evaluation, and verifies its practical application effects. The research provides theoretical references and practical suggestions for the intelligent, specialized and refined upgrading of
CUBA management.