The fruits of a grueling half-Ironman triathlon held in Des Moines, Iowa, sometimes encompasses swim, bike, and run segments totaling 70.3 miles. These outcomes present an in depth file of athlete efficiency, together with ending instances, splits for every phase, and total rankings inside age teams and gender classifications. A hypothetical instance can be a competitor ending the swim in half-hour, the bike portion in 2 hours and half-hour, and the run in 1 hour and 40 minutes, for a complete time of 4 hours and 40 minutes.
Knowledge documenting race outcomes serves a number of functions. For athletes, it gives a quantifiable measure of non-public achievement, permitting for efficiency monitoring and identification of areas for enchancment. For spectators and followers, it gives perception into the race dynamics and the accomplishments of particular person rivals. Traditionally, the documentation of race outcomes has advanced from easy handwritten lists to stylish digital platforms offering real-time updates and complete knowledge evaluation. This data contributes to the game’s ongoing growth, enabling coaches and athletes to refine coaching methods and improve efficiency outcomes.
