A novel comparative study of NNAR approach with linear stochastic time series models in predicting tennis player's performance

ConclusionIn conclusion, this study highlights the significance of incorporating time as a factor when predicting player performance in tennis. It emphasizes the potential benefits of using the NNAR model for forecasting future player standings in matches. The findings suggest that the NNAR model is a recommended approach compared to conventional models like ARIMA, ETS, and TBATS. By considering time as a crucial factor and employing the NNAR model, both tennis players and sports analysts can make more accurate predictions about player performance.
Source: BMC Sports Science, Medicine and Rehabilitation - Category: Sports Medicine Source Type: research