Abstract
The understanding of sports event risk and Olympic sports cooperation spirit, as well as the systematic analysis and research of sports event risk management, are still in their early stages in China's sports theory circle. Institutions for developing sports talent also disregard programmes designed to increase the risk awareness and Olympic spirit of sports workers. This essay provides an overview of the concepts of sports event risk and Olympic sports cooperation spirit based on reality. This paper examines the interaction of risk management of large-scale sporting events and Olympic sports cooperation spirit from the perspective of event organization managers, using the pertinent theory of risk management and the random forest algorithm in machine learning. The experimental results show that, according to the analysis of injury occurrence according to different positions, it is discovered that forward athletes suffer the most injuries, with an average of 54 forwards in injury situations, followed by guards with an average of 43 guards in injury situations, and finally centres with an average of 38 guards in injury situations. Combining risk management for major sporting events with the cooperative Olympic sports spirit has significant practical implications.