Free Tool

1RM Calculator

Enter the weight you lifted and how many reps you completed. We'll show you what every major 1RM formula predicts, side-by-side, so you can pick the most accurate one for your rep range.

New to a one-rep max (1RM)? Read the plain-English definition →

Your set

Estimated 1RM

All 7 formulas compared. The recommended formula for your rep count is highlighted.

Method1RM
Epley
262.5 lb
BrzyckiBest fit
253.1 lb
Lombardi
264.3 lb
Lander
255.8 lb
O'Conner
253.1 lb
Mayhew
267.8 lb
Wathen
262.3 lb

% of 1RM chart

Working sets at common training percentages, based on Epley estimate of 263 lb.

Target reps% of 1RMWeight (lb)
1100%262.5
295%249.4
393%244.1
490%236.3
587%228.4
685%223.1
880%210
1075%196.9
1270%183.8
1565%170.6

Track your 1RM progress over time

Zealova logs every set, calculates an updated 1RM after each workout, and adjusts your next plan around the new number.

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Methodology + Sources

Last updated: 2026-05-14

Built by Sai, founder of Zealova. Not a neutral third party. Calculator results are estimates. For medical decisions, consult a qualified professional.

Frequently asked questions

Which 1RM formula is most accurate?+

It depends on the rep range. Brzycki is most accurate for low reps (2-5). Epley works well for moderate reps (5-10). Above 10 reps, all formulas lose accuracy because muscular endurance becomes a larger factor than maximal strength. We highlight the recommended formula for your rep count.

How many reps should I use for the most accurate estimate?+

Between 3 and 6 reps gives the most accurate prediction. Above 10 reps, error rates climb significantly. For your competition lifts, performing a true 1RM attempt is still the gold standard.

Can I use this for all exercises?+

Yes, but accuracy varies. The formulas were originally validated on bench press and similar barbell lifts. They work reasonably well for squat, deadlift, overhead press, and most compound lifts. Single-joint and machine exercises produce less reliable estimates.

Why do different formulas give different results?+

Each formula was developed from a different study population (often college athletes) and a specific exercise. The differences across formulas reflect those original samples, not which one is "right" in an absolute sense. Looking at the range across formulas gives you a confidence interval rather than a single point estimate.

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