A predictive model for 400-metre performance: Analysis using the first 100 m and athlete age

In this study, a linear regression approach is used to model 400 m performance. We have choosen to consider the time of the first 100 metres and the age of the athletes as key variables, as they are likely to play a determining role in succeeding in this specific distance. The start, symbolised by the first 100 metres, is often considered a crucial phase in the 400m. Sprinters who manage to maintain rapid acceleration in this first part of the race tend to perform more consistently over the whole 400 metres. Studies have shown that competitive experience can play a significant role in athletic performance. Athletes who have accumulated years of experience often develop more efficient running strategies and better effort management, thus positively influencing their results.