One Rep Max Calculator (Multi-Formula)

Compare six common 1RM formulas side by side: Epley, Brzycki, Lombardi, Mayhew, O'Conner, and Wathen. Use the spread and average as a practical estimate range.

lbs
reps
Estimated 1RM (Average of 6 Formulas)
260.5 lbs
118.2 kg · Range: 253.1267.8 lbs (14.7 lb spread)
Epley
262.5 lbs
Brzycki
253.1 lbs
Lombardi
264.3 lbs
Mayhew
267.8 lbs
O'Conner
253.1 lbs
Wathen
262.3 lbs

Formula Comparison

Epley
262.5
Brzycki
253.1
Lombardi
264.3
Mayhew
267.8
O'Conner
253.1
Wathen
262.3
Black line = average (260.5 lbs)
Strength (85–95%)
221247 lbs
Hypertrophy (65–80%)
169208 lbs
Endurance (50–65%)
130169 lbs

Percentage Chart (Based on Average)

%1RMWeight (lbs)Weight (kg)Est. RepsZone
100%261118.41–2Strength
95%2471121–2Strength
90%234106.13–4Strength
85%221100.24–6Strength
80%20894.36–8Hypertrophy
75%19588.58–10Hypertrophy
70%18282.610–12Hypertrophy
65%16976.712–15Hypertrophy
60%15670.815+Endurance
55%14364.915+Endurance
50%1305915+Endurance
Disclaimer: This calculator provides estimates for informational purposes only. It is not a substitute for professional coaching, medical advice, or personalized training programs. Consult a certified fitness professional before attempting maximal lifts.
Planning notes, formulas, and examples

About the One Rep Max Calculator (Multi-Formula)

No single 1RM formula works best in every rep range or lifter population.

This calculator applies several common equations side by side and shows an average so you can see a reasonable estimate band instead of relying on one formula alone.

Use it as a comparison tool for training decisions rather than a replacement for a tested max.

When This Page Helps

It is useful when you want more context than a single equation can provide. Seeing the spread across formulas is often more informative than treating any one estimate as exact.

How to Use the Inputs

  1. Perform a set of an exercise to near failure (ideally 2–10 reps).
  2. Enter the weight used and the number of reps completed.
  3. View all six formula estimates side-by-side.
  4. The average shown is your best single 1RM estimate.
  5. Note the range (lowest to highest) — your true max likely falls within it.
  6. Use the percentage chart based on the average for training programming.
Formula used
Six formulas compared: • Epley: weight × (1 + reps/30) • Brzycki: weight × 36/(37 − reps) • Lombardi: weight × reps^0.10 • Mayhew: weight × 100/(52.2 + 41.9 × e^(−0.055 × reps)) • O'Conner: weight × (1 + 0.025 × reps) • Wathen: weight × 100/(48.8 + 53.8 × e^(−0.075 × reps)) Best estimate = average of all six formulas

Example Calculation

Result: Average 1RM: ~259 lbs | Range: 253–264 lbs across six formulas

For 225 lbs × 5 reps: Epley = 262.5, Brzycki = 253.1, Lombardi = 264.3, Mayhew = 261.2, O'Conner = 253.1, Wathen = 260.8. Average: ~259 lbs. The 11.2-lb range (253–264) represents 4.4% variability — typical for 5-rep sets. This close agreement suggests the formulas are pointing to a similar estimate.

Tips & Best Practices

  • The average of all six formulas is a practical single number for training purposes.
  • Use the lowest estimate (usually Brzycki or O'Conner) as your "training max" for safety.
  • When formulas disagree by more than 10%, it usually means the rep count was too high (12+) for reliable prediction.
  • Test in the 3–6 rep range for the tightest agreement between formulas.
  • Retest every 4–6 weeks to keep your training max aligned with your present strength.
  • Always round down to the nearest loadable plate increment when selecting training weights.
  • Compare your 1RM to strength standards tables to assess your relative strength level.

Why Multiple Formulas Matter

Evidence comparing common 1RM prediction formulas across large sets of tests shows that no single formula is most accurate for all exercises, rep ranges, or populations. However, the average of multiple formulas often falls within about 3-5% of actual 1RM across common testing conditions. This supports the multi-formula approach used in this calculator.

Understanding Formula Families

The six formulas fall into three mathematical families. Linear (Epley, O'Conner): predict 1RM increases at a constant rate per additional rep. Simple and accurate at low reps but overestimate at high reps. Hyperbolic (Brzycki): 1RM prediction accelerates with each additional rep, producing conservative estimates at moderate reps. Power/Exponential (Lombardi, Mayhew, Wathen): model the diminishing relationship between reps and strength using curves that naturally level off, producing more realistic predictions at higher reps.

Using Your 1RM in Training

Once you have your estimated 1RM, use percentage-based programming: Warm-up sets (40‒60%): Activate muscles and groove the movement pattern. Working sets depend on your goal — strength (80‒95%), hypertrophy (60‒80%), or endurance (40‒60%). Most proven programs (5/3/1, Starting Strength, Juggernaut, GZCL) are built around percentages of 1RM. Update your training max regularly to keep progression on track.

Sources & Methodology

Last updated:

Methodology

This worksheet compares several common 1RM equations side by side and uses the spread as a practical estimate band. It is a planning aid for submaximal sets, not a replacement for a tested max.

Sources

  • The Accuracy of Prediction Equations for Estimating One-Rep Max (Journal of Strength and Conditioning Research) — Comparison paper for common 1RM equations.
  • Essentials of Strength Training and Conditioning (NSCA) — General background on submaximal load estimation and programming.
  • Epley, Brzycki, Lombardi, Mayhew, O'Conner, and Wathen 1RM equation families (Strength and conditioning literature) — Formula families used directly by the calculator.

Frequently Asked Questions

  • No single formula is universally most accurate. Accuracy depends on rep range, exercise, and individual factors. Epley and Brzycki are among the most widely used. Lombardi tends to be more forgiving at higher reps. Wathen and Mayhew use exponential curves that model fatigue differently. The average of all six often lands within about 3–5% of actual 1RM for common testing ranges.