Understanding members’ psychological needs, improving members’ satisfaction, and enhancing clubs’ operational efficiency are key factors in the development of sports clubs. Taking the customer satisfaction model and the balanced scorecard of operational performance as the starting point, this paper analyzes the factors related to member satisfaction of sports clubs by using multiple linear regression models with provincial sports clubs in 31 provinces (municipalities/autonomous regions) of China as the research objects. After selecting 16 provincial sports clubs, the DEA model was built by utilizing staff salary as the input indicator and club winning rate and operating income as the output indicators. The overall satisfaction of sports club members is 3.94. The regression results show that each independent variable has achieved 75.3% of the explanatory strength of the overall satisfaction of members.4 of the 16 sports clubs reach the optimal operational efficiency in 2023. The comprehensive technical efficiency and scale efficiency of sports clubs were only 0.697 and 0.659, respectively, in 2019. By analyzing the changes in the membership satisfaction and operational efficiency of sports clubs, the DEA model is constructed. The analysis of factors that influence satisfaction and operational efficiency trends can help sports clubs choose inputs rationally and provide new perspectives for improving member satisfaction and operational efficiency.