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Strength As of 2026-04-24

How Progressive Overload Planner works

Methodology for the Progressive Overload Planner: formulas, coefficients, data sources, assumptions, and known limitations.

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

Scope

Projects lifting progression with weekly overload percentages and planned deload cycles.

Formula

next_load = current_load * (1 + progression_rate). Deload every 4–6 weeks at 80–90% of prior week.

Coefficients

Parameter Value Note
Beginner weekly overload 2.5–5.0%
Intermediate weekly overload 0.5–1.5%
Advanced weekly overload 0.2–0.5%
Deload frequency every 4–6 training weeks

Data sources

  1. Rhea MR, Alvar BA, Burkett LN, Ball SD. A meta-analysis to determine the dose response for strength development. Med Sci Sports Exerc. 2003;35(3):456-464. — PMID 12618576. Foundational dose-response meta-analysis for strength progression.
  2. Helms ER, Cronin J, Storey A, Zourdos MC. Application of the repetitions in reserve-based rating of perceived exertion scale for resistance training. Strength Cond J. 2016;38(4):42-49. — RIR-based autoregulation framework used in the deload logic.
  3. Schoenfeld BJ, Ogborn D, Krieger JW. Dose-response relationship between weekly resistance training volume and increases in muscle mass: a systematic review and meta-analysis. J Sports Sci. 2017;35(11):1073-1082. — PMID 27433992. Supports the tiered weekly-overload bands by training age.

Assumptions

  • Sleep, nutrition, and technique support the prescribed overload rate.

Approximation range

Beginners can hold 2.5–5% weekly overload for months; intermediates stall at <1%.

Limitations

  • Linear projections break at advanced training age; the tool flags but does not prevent unrealistic curves.

Reproducibility

Intermediate, squat 140 kg, 1% weekly. Week 4 projection: 140 * 1.01^4 = 145.7 kg.

Change log

  • 2026-04-24: methodology page first published.

Worked example

Computed by the same engine bundle served at /engines/progressive-overload-planner.js. Re-runnable: the values below are the literal output of compute(engineInput).

Input

tool
progressive_overload
current_lift_kg
100
weekly_increase_percent
1.5
training_weeks
16
deload_every_weeks
5
deload_drop_percent
8

Output

primaryLabel
Projected working lift
primaryValue
94.5
primaryFormat
kg
summary
Simple periodized projection with optional deload cadence.
metrics
[{"label":"Starting lift","value":100,"format":"kg"},{"label":"Peak in block","value":106.14,"format":"kg"},{"label":"Total increase","value":-5.5,"format":"percent"},{"label":"Block length","value":16,"format":"number"}]
warnings
[]
assumptionsEcho
{"current_lift_kg":100,"weekly_increase_percent":1.5,"training_weeks":16,"deload_every_weeks":5,"deload_drop_percent":8}

FAQ

What is progressive overload?
It is the process of gradually increasing training stress over time so your body has a reason to adapt.
Why include deload weeks?
Because steady progress usually requires recovery phases. Planned deloads help you keep momentum instead of crashing into fatigue.
What if I miss reps before the plan says I should?
That usually means the weekly jump is too aggressive or recovery is lagging. Use a smaller increase and rebuild from the last successful week.
Should every lift progress at the same rate?
No. Smaller lifts usually need smaller jumps, and advanced lifters often need slower progression than newer lifters.
Is this tool free and private to use?
Yes. AI Fit Hub tools are free, no-signup browser tools. Inputs stay in your browser unless you choose to share a URL.
Do these tools replace medical guidance?
No. These outputs are general fitness estimates — not medical advice.
General fitness estimates — not medical advice. Consult a healthcare professional for medical decisions.