With the growing popularity of water sports, the consumer market for sailing and surfing, a core sport in water sports, has attracted attention in recent years. In this study, the relationship between the conventional factors affecting the price of used sailing boats and the market price of used sailing boats is mathematically modeled and predicted. After outlier and missing value processing and visualization analysis of the collected and retrieved data, nine core indicators including sailboat performance, age of sailboat use, and the level of comprehensive regional development were selected to have a critical impact on the prices of both monohull and catamaran used sailboats. Using a series of algorithms such as LightGBM, PSO, and Catboost, a unique PSO-LightGBM-Catboost weighted fusion model was established to explore the role and influence of each factor on the prices of the two used sailboats. With this weighted fusion model, the R2 values of the multi-factor fit were as high as expected, and the R2 values of the predicted results were also at the expected level. Finally, it was found that the price of used sailboats is more significantly influenced by factors related to the age of the sailboat, the performance of the sailboat itself, and the economic level of the region.