Performance Simulations
CASE STUDY: Wheel Selection Analytics at Austin Ironman 70.3
For a competitive triathlete, the bike is a means to an end. The goal is to go as fast as possible with the smallest energy expenditure. Falcon Pursuit, using the Athlete-Avatar™, prepared a race day simulation that modeled: environmental conditions, rider's individual aero signature and biomechanics all optimized for the athletes specific event. Based off the wheels available to this athlete, selecting the optimal wheels netted the athlete a 63 seconds time savings at no additional energy output. The results are seen below:
Brand X Disc Wheel vs. Brand Y 80-90mm Depth Wheel Analysis
| Disc | 80-90mm Depth Wheel | |
|---|---|---|
| Percentage of Time Wheel is Optimal for Course Segment* | 31% | 63% |
| Length of Course Wheel is Optimal | 34 | 56 |
| Time saved per Kilometer (in Seconds) | 0.12 | 1.2 |
| Total Time Savings (Optimal Course Segments, in Seconds) | 4.08 | 67.2 |
| Net Time Saved Over Entire Course | 63 seconds slower | 63 Seconds faster |
*Three Wheels were used in this study. The 80-90mm depth wheel and the disc wheel represent the top two choices.
