Interpretable Olympic Medal Forecasting Using Hybrid GA-LSTM with SHAP Explanations

In recent years, more and more people have been paying attention to the Olympic Games and who will win the Olympic MEDALS. This study focuses on the prediction of Olympic medals and the analysis of related factors. It constructs a GA-LSTM model to forecast the number of medals each country will win at the 2028 Los Angeles Summer Olympics and employs the SHAP model to interpret the factors influencing medal counts. Helps to understand the development trend of sports competitiveness in various countries and provides a reference for better allocation of sports resources.

Authors

Institutions

Publication Details

Journal
Frontiers in Computing and Intelligent Systems
Published
2025-08-29
DOI
https://doi.org/10.54097/7n0ge870
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interpretable Olympic Medal Forecasting Using Hybrid GA-LSTM with SHAP Explanations

Hongzhe Zhao
Frontiers in Computing and Intelligent Systems
Sports Analytics and Performance
article

Interpretable Olympic Medal Forecasting Using Hybrid GA-LSTM with SHAP Explanations

Hongzhe Zhao
article en

Abstract

In recent years, more and more people have been paying attention to the Olympic Games and who will win the Olympic MEDALS. This study focuses on the prediction of Olympic medals and the analysis of related factors. It constructs a GA-LSTM model to forecast the number of medals each country will win at the 2028 Los Angeles Summer Olympics and employs the SHAP model to interpret the factors influencing medal counts. Helps to understand the development trend of sports competitiveness in various countries and provides a reference for better allocation of sports resources.

Frontiers in Computing and Intelligent SystemsVol. 13(2)
Liaoning Technical University (CN)
Openalex Percentile: Top 69%
Sports Analytics and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.