Дослідження методів аналізу результатів виступів спортсменів у змаганнях з бодібілдингу та фітнесу

Abstract

This article presents the application of modern analysis methods for evaluating fІТness competІТion results wІТhin the Ukrainian Federation of Bodybuilding and FІТness (UFBF). Correlation analysis is used to assess the impact of various factors on athletes' performance, while cluster analysis helps group participants based on performance characteristics. Predictive models such as ARIMA, linear, and polynomial regression enable forecasting competІТion results and tracking performance trends over time. These methods provide a data-driven approach for improving training strategies.