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Junk Volume Detector

Paste a multi-week training log to flag sets that add fatigue without an overload signal: light sets and excess volume on stalled lifts.

Your numbers

Start from an example

One row per exercise and load: week,exercise,sets,reps,weight (any unit). Log working sets, not warm-ups.

Result

Junk volume
11.7%
Total sets
77
Effective
68
Junk sets
9

Effective vs junk sets

All logged sets, split into effective and flagged.

Sets across the log
77
Effective sets
68
Junk sets
9

By exercise

ExerciseSetsEffectiveJunk
squat17170%
benchVolume above MRV without overload progression45426.7%
curlSets below 60% of week's top weight; Stalled progression — consider deload or exercise rotation15940%

Education, not medical advice. The result comes only from the published formula and your inputs. How we check our formulas.

  • Formula Junk Volume Threshold Formula

    Junk volume: sets above MAV produce diminishing returns. Schoenfeld 2017 meta-analysis: ≥10 sets/muscle/week, plateau by ~20 sets. Above MRV is regression.

  • Formula Hybrid Training Planner Formula

    Hybrid weekly plan: 2-3 strength + 3-4 endurance + 1-2 mobility. Schoenfeld/Roberts 2023 framework. AM cardio + PM strength, ≥6h separation, polarized intensity.

  • Formula Concurrent Training Interference Formula

    Computes the hypertrophy penalty from concurrent cardio plus strength training: cardio above 3 sessions per week cuts muscle gain roughly 10-15%.

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Background on the Junk Volume Detector

  • Formula HRV Deload Trigger Formula

    HRV deload trigger: morning rMSSD below rolling 7-day baseline by 1.5+ SD for 3 days = deload signal. Plews & Laursen 2017. Use weekly average not daily.

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Use it from code

The same calculation as a JavaScript module you can import. It runs where you import it, with no request, key or rate limit.

import { compute } from "https://aifithub.io/engines/junk-volume-detector.js";

Input and output contract, TypeScript types and the guide for agents.