Assessing the green growth trajectory of the sports industry necessitates a holistic approach, encompassing factors such as GDP contribution, industrial layout, sector size, and sports-related consumption. Relying solely on a single metric for predictions can be insufficiently comprehensive. To achieve a more nuanced understanding, a prediction method has been developed that integrates data from multiple sources. Initially, multi-channel data fusion techniques are utilized to gather and preprocess pertinent sports industry data. Subsequently, key indicators are identified based on the unique characteristics and operational needs of the sports industry. These include GDP contribution, industrial composition, industry scale, sports consumption, market dynamics, innovative practices, and international integration. By utilizing these seven indicators as inputs, a comprehensive predictive model has been constructed, which effectively captures the essence of the sports industry's green development. Testing has demonstrated that this approach significantly minimizes the discrepancy between predicted and actual values, offering an enhanced tool for forecasting the green development trends within the sports industry.