Unveiling the Future of Olympic Glory

Abstract

As the 2028 Los Angeles Olympics approach, accurately predicting the distribution of medals has become a critical issue in the fields of sports science and decision-making. This study addresses the challenges traditional models face in capturing the cyclical nature of Olympic data and the influence of political factors by proposing a multi-model integration forecasting framework. The aim is to improve the accuracy of predictions for the 2028 medal tally by quantifying historical trends, external political variables, and coaching effects, while identifying countries with the potential to achieve a “breakthrough” in their medal count. The study employs Seasonal and Trend Decomposition using Loess (STD-Loess) and Seasonal Differencing to construct an ARIMAX-based Seasonal Empirical Forecasting Model that incorporates participation frequency for predicting the total number of medals won by each country. It integrates Markov Chains and Bayesian updating to construct the First Medal Prediction Model for forecasting the first medal won. A Tobit model and the PageRank algorithm are used to evaluate the contribution of specific sports disciplines (SDE), and segmented regression is employed to quantify the “great coach” effect. The Seasonal Empirical Forecasting Model outperformed XGBoost in terms of prediction accuracy. Forecasts indicate that the United States (98 medals, range [37, 145]) and China (86 medals, range [43, 130]) will lead the medal count, while the Czech Republic is projected to achieve a 120% increase in medals. Nepal is deemed the most likely country to win its first medal in 2028, with odds of 1.23. Furthermore, the study found that men’s basketball accounts for as much as 57% of the U.S. team’s total medal count and confirmed the critical role of coaching intervention in achieving a breakthrough in gold medals. Through an innovative model integration approach, this study provides National Olympic Committees with a scientific basis for resource allocation and recommendations for coach recruitment, while profoundly revealing the centralization of modern Olympic medal distribution and the trend toward international competition.