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About this tool
Convert a squat, bench and deadlift total into a Wilks score so lifters of different bodyweights can be compared.
The Wilks score is a powerlifting total multiplied by a bodyweight coefficient, so lifters in different weight classes can be ranked on one scale. The coefficient comes from Robert Wilks' 1994 fifth-order polynomial, 500 ÷ (a + bx + cx² + dx³ + ex⁴ + fx⁵) with x as bodyweight in kilograms, and it has separate constants for men and women. Enter a squat, bench and deadlift in kilograms or pounds and this returns the coefficient, the score and the total needed for common targets.
Open Wilks Score Calculator on AltFTool — it loads instantly in your browser.
Enter the values you already know.
Fine-tune the options to match your scenario.
Read the result and use it in your planning or reporting.
Uses the published Wilks polynomial rather than a lookup table or approximation.
Bodyweight and lifts convert with the exact 0.45359237 kg pound.
Shows the total required for 300, 400 and 500 Wilks at your bodyweight.
Multiply your three-lift total in kilograms by the Wilks coefficient for your bodyweight and sex. The coefficient is 500 divided by a fifth-order polynomial in bodyweight — at 100 kg a man's coefficient is about 0.6086, so a 600 kg total scores roughly 365.
As a rough gym convention, around 300 is a solid intermediate lifter, 400 is advanced, 500 is national level and 600 or more is world class. These are informal bands rather than federation classifications, and they assume a full raw three-lift total.
The IPF replaced Wilks with IPF GL points in 2019, and several other federations have followed with their own formulas such as DOTS. Wilks remains widely quoted in gyms, on lifting apps and in historical results, which is why it is still worth calculating.
The polynomial was fitted to competitive data roughly between 40 kg and 200 kg, and it curves oddly beyond that — coefficients can even start rising again at very heavy bodyweights. That is one of the main criticisms that led to newer formulas, so treat results outside the fitted range as unreliable.
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