機械学習を用いたバスケットボールにおけるシュート分析に関する研究

抄録

In recent years, the use of ICT has become popular in the field of sports. A technology for quantitatively analyze performance based on data on player movement and team strategy has been developed. In basketball, data-based performance evaluation has been attracting attention. However, the process leading to the decision to shot and the factors involved in success or false have not been adequately analyzed. Therefore, this research, we classify the success or false of a shot based on the player's positional information and analyze the factors. Eventually, it is hoped that these findings will contribute to improved team tactics and coaching policies, leading to improved athletic performance.