Purpose and context
What does the 1RM Calculator do?
A repetition-based 1RM estimate can support programming without requiring a true maximal attempt. Prediction error increases with fatigue, technique variation and high repetition counts.
Who it supports: Adults performing technically valid resistance-training sets.
Transparent calculation
Formula and calculation method
Both equations use the entered load and repetitions. The selected result is shown with formula comparison and percentage-based training loads.
Worked calculation example
Using Epley, 100 kg for 6 reps gives 100 × (1 + 6/30) = 120 kg estimated 1RM.
The live calculator retains greater internal precision and rounds only when presenting the result.
How to use the 1RM Calculator
- Enter the weight lifted and completed repetitions.
- Choose Epley, Brzycki or their average.
- Calculate and use the percentage table as programming context.
Understanding your result
The result card identifies the value, unit, method, supporting values and an accuracy notice. Estimated and predicted outputs are labelled so that apparent precision is not mistaken for certainty.
Continue with the Squat 1RM Calculator for a related measurement using its own documented method.
Accuracy, assumptions and limitations
Predictions vary by exercise, training status, effort and repetition count; sets above 10 repetitions are less reliable.
Common input and interpretation mistakes
- Entering warm-up repetitions that were not near maximal effort.
- Using more than 10–15 repetitions for a precise prediction.
- Treating estimated 1RM as a required maximal attempt.
Primary method source: https://pubmed.ncbi.nlm.nih.gov/15320682/.
Frequently asked questions about 1RM Calculator
Epley and Brzycki are both recognized predictions. Their difference helps show equation uncertainty.
Prediction equations generally become less stable as the repetition count rises.
The estimate is a programming reference, not an instruction to test it without appropriate technique, equipment and supervision.
They translate the estimate into common relative loads while keeping the original estimate visible.
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