Olympic Medal Prediction Model Based on Existing Data Set

Abstract

The success of the Paris Olympics revealed to the world the meaning of the Olympic motto, highlighting unity and excellence in global sports. The most eye-catching part of the Olympics is obviously the“medal table”, which also stimulates interest among researchers and policymakers in accurately predicting the number of medals. The study developed a medal prediction system to quantitatively forecast medal acquisition and establish comparative benchmarks for national sports programs. The computing system was initially established using a multiple linear regression model, with missing values of independent variables determined through an ARIMA model, enabling precise completion of medal table predictions and determination of prediction intervals. TOPSIS and the Entropy Weight Method were then employed to construct a complete project evaluation system, which provides reliable statistics for different countries while offering constructive advice for further development of sports in each country, thereby assisting more countries in winning medals.