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How to Use Detraining Decay Estimator

The Detraining Decay Estimator applies Mujika's exponential decay model to predict how much one-rep-max strength you lose across a layoff. Enter your prior 1RM, the number of weeks off, and your training age; the tool returns your predicted 1RM after the layoff as the hero number, plus the total strength lost as a percentage, the weekly decay rate, and how many weeks of retraining it takes to rebuild to your previous peak. It models strength only, not aerobic capacity.

By AI Fit Hub · AI Fit Hub Team
Best Next MovePlanning

Detraining Decay Estimator

Estimate 1RM loss across a layoff using the Mujika & Padilla detraining model.

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On This Page

Education · Not medical advice. Output is deterministic math from your inputs.Editorial standardsSponsor disclosureCorrections

What It Does

Use the calculator with intent

The Detraining Decay Estimator applies Mujika's exponential decay model to predict how much one-rep-max strength you lose across a layoff. Enter your prior 1RM, the number of weeks off, and your training age; the tool returns your predicted 1RM after the layoff as the hero number, plus the total strength lost as a percentage, the weekly decay rate, and how many weeks of retraining it takes to rebuild to your previous peak. It models strength only, not aerobic capacity.

Athletes, coaches, and AI agents who need a quick, reproducible answer with named limitations rather than a generic estimate.

Interpreting Results

The hero number is your predicted 1RM in kilograms after the layoff. The secondary stats show the total strength lost as a percentage, the weekly decay rate, and how many weeks of retraining it takes to rebuild to your prior peak. The methodology page shows the exponential decay constants — understanding them explains why the first two weeks of inactivity cost proportionally more than weeks three and four, and why a higher training age slows the decay.

Input Steps

Field by field

  1. 1

    Enter inputs

    Enter your values using the sliders and steppers. Defaults represent a reasonable midpoint.

  2. 2

    Read outputs

    Read the hero number first. Secondary stats provide context and ranges.

  3. 3

    Follow

    Follow the methodology link for formulas, coefficients, and citations.

  4. 4

    Adjust parameters

    Adjust each input one at a time to see how the hero number responds.

    Run the same detraining period with your training age set 2 years higher and 2 years lower — if the hero number barely shifts, training age is not the driver; inactivity duration is.

Common Scenarios

Use realistic starting points

FAQ

Questions people ask next

The short answers readers usually want after the first pass.

How accurate is the Detraining Decay Estimator?
See the methodology page for the published approximation range. Most fitness calculators carry ±5–10% inherent error from formula coefficients.
Can I trust this for medical decisions?
This tool outputs general training-planning estimates derived from published research coefficients. It is educational, not clinical advice. AI Fit Hub's editorial standards are at /editorial-standards/.
Where do the formulas come from?
Each formula is sourced to a peer-reviewed paper or named-author textbook. The methodology page links the citations.
General fitness estimates — not medical advice. Consult a healthcare professional for medical decisions.