Journal of Information & Systems Management Yang Liu,Hang Lv 15 1 2025 https://doi.org/10.6025/jism/2025/15/1/30-37 https://www.dline.info/jism/fulltext/v15n1/jismv15n1_4.pdf With the development of technology, significant progress has been made in the informatization of higher education, and the management of games has greatly benefited from this progress. To better use this information, we propose a decision tree algorithm that can effectively analyze and manage games to improve the quality of physical education teaching. First, we delve into our data mining method - the C4.5 decision tree algorithm- and propose a complete course analysis, management system framework, and the corresponding database design. Then, we use ASP.NET as the development language, and with the support of SQL Server 2008 and Visual Studio 2010, we implement the system’s functionalities. After testing, we find that the proposed games analysis and management system performs excellently in terms of runtime and accuracy, providing strong support for improving the efficiency and quality of game management.