Prediction of sports achievements based on time series analysis

There are many factors related to sports performance, which brings many difficulties to the prediction of sports performance. To improve the prediction effect of sports performance, we propose a sports performance prediction method based on time series analysis. This method selects the singular value decomposition filtering algorithm to decompose the original data sequence into two parts: random components and trend components; The GM (1,1) model and SVM model were used to predict the random and trend components respectively, and the predicted results of the two models were fused to obtain the final sports performance prediction results. The practical application results show that our proposed method improves the accuracy of sports performance prediction and significantly reduces the error of sports performance prediction, which has certain advantages.