FAQ
Monte Miles helps runners understand what is likely, not just what is theoretically possible.
Start with the simulator. See your odds, likely finish range, and realistic pace band. Then decide whether you want to improve those odds with a training plan, weekly check-ins, or better race-day decisions.
What Monte Miles helps you answer
What are my odds of hitting this goal?
What finish range looks realistic today?
What should I tune next if I want to improve those odds?
What Monte Miles does not claim
It does not promise an exact race result.
It does not replace a coach or clinical testing.
It is built to improve decisions, not pretend uncertainty does not exist.
1. What Monte Miles helps you answer
Monte Miles is for runners who want a realistic outcome window before race day, not just a best-case prediction.
The simulator is the center of the product. It shows your probability of hitting goal, your likely finish range, and the pace band that better matches your current setup.
2. How the simulator works
Plain English, not black-box jargon.
Monte Miles starts from your recent race result or estimated VO2 max, layers in race distance and optional goal time, adjusts for conditions and fatigue, then simulates thousands of race scenarios to show the outcome range.
3. What affects the estimate
The result moves when the context moves.
- Recent race result or estimated VO2 max
- Goal distance and optional goal time
- Weather, humidity, and course stress
- Fatigue and training-readiness assumptions
- Training plan context and weekly workload
- Distance-specific variability on race day
4. What the product does not claim to do
Trust comes from being useful about uncertainty, not pretending uncertainty is gone.
- Monte Miles is decision support, not a medical device or lab instrument.
- The simulator gives a likely range, not a guaranteed finish time.
- It does not replace a qualified coach, physician, or physical therapist.
- It is only as honest as the inputs you give it.
5. Technical detail for curious runners
The credibility layer, without making the first screen feel like homework.
- Phased training structure: base, build, peak, taper, race
- Progressive overload and fatigue management
- Weather and course stress affecting realistic pace
- Monte Carlo simulation to estimate a finish-time distribution
- Wider uncertainty bands as race distance increases
The point is better decisions.
Use the simulator to pressure-test a goal, use a training plan to improve the odds, and keep coming back weekly to see whether the outlook is getting stronger or softer.