Quantitative Analysis and Prediction Methods for Sports Competition Results

Abstract

In the era of big data, sports performance prediction becomes critical by analyzing accumulated competition data, especially the influence of momentum factors on competition results, although its definition and quantification are controversial in academia. This study explores the application of momentum in predicting the results of sports competitions and proposes a comprehensive research framework combining sports science and sports psychology. By collecting and analyzing the competition data, the feasibility of momentum as an important index in predicting the results of the competition is confirmed. The results show that momentum not only reflects the immediate performance of athletes in the game but also predicts their future results. This finding is of great significance for coaches and athletes to formulate strategies and adjust tactics in the game. Through continuous accumulation and analysis of data, we can more accurately predict the results of the game, and improve the level and fairness of sports competition.