Data from the annual athletic competition held in Grand Haven, Michigan, provides a record of participant performance. This data typically includes finishing times for each leg of the race (swimming, cycling, and running), overall times, and placement within age groups and gender categories. Example data points often include split times at transition zones and might also feature information like the athlete’s name, bib number, and city of origin.
Access to this competitive information offers significant value for athletes, coaches, and spectators alike. Athletes can utilize the data to track personal progress, identify areas for improvement, and compare their performance against others. Coaches can leverage the information to tailor training programs and develop race strategies for their athletes. For spectators, the information enhances the viewing experience by providing context and adding another layer of understanding to the competition. Historical data, when available, allows for analysis of trends and comparison with previous years performances, offering insights into the evolving nature of the event itself.
