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Race Time Predictor

Race Time Prediction Formula:

\[ T_{new} = T_{ref} \times \left(\frac{D_{new}}{D_{ref}}\right)^k \]

minutes
miles or km
miles or km
(≈1.06)

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1. What is the Race Time Predictor?

The Race Time Predictor estimates your finish time for a new race distance based on your performance at a known distance. It uses a mathematical model that accounts for the non-linear relationship between distance and running time.

2. How Does the Calculator Work?

The calculator uses the following formula:

\[ T_{new} = T_{ref} \times \left(\frac{D_{new}}{D_{ref}}\right)^k \]

Where:

Explanation: The formula accounts for the fact that running pace slows as distance increases, with the exponent k representing this non-linear relationship.

3. Importance of Race Time Prediction

Details: Accurate race time prediction helps runners set appropriate pace goals, plan training, and avoid starting too fast in longer races.

4. Using the Calculator

Tips: Enter your known race time and distance, the new target distance, and the exponent value (1.06 is a good default). All values must be positive numbers.

5. Frequently Asked Questions (FAQ)

Q1: What's the best exponent value (k) to use?
A: 1.06 is a good general value, but it can range from 1.05 to 1.08 depending on the runner and distances involved.

Q2: How accurate is this prediction?
A: It works best for predicting between similar distances (e.g., 5K to 10K). Predictions from short to very long distances (e.g., 5K to marathon) may be less accurate.

Q3: Does this work for all race distances?
A: It works best for distances from 5K to marathon. Very short sprints or ultramarathons may require different models.

Q4: Should I use miles or kilometers?
A: The units don't matter as long as both distances use the same unit (both miles or both kilometers).

Q5: Why does pace slow with distance?
A: Due to physiological factors like glycogen depletion, muscle fatigue, and the increasing challenge of maintaining pace over longer durations.

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