Descriptive statistics for numerical variables.

PurposeThis study aims to quantitatively analyze the impact of split times on overall performance in standard distance triathlon events. It also examines how environmental factors such as water type, temperature, and altitude affect overall race outcomes.MethodsQuantile regression was employed to analyze the race records of 1,580 triathletes participating in 46 standard distance events in China.ResultsSwim time significantly influences race performance among the top 50% of elite athletes (p ConclusionThe influence of split times and environmental factors on overall race rime varies according to the athletes’ performance levels. To optimize results, training plans and race strategies should be tailored to each athlete’s capabilities. Additionally, understanding and adapting to environmental conditions in advance is crucial.