LiftGauge Tools

Know your number. See where it stands. Challenge the next lifter.

Turn a top set into seven 1RM estimates, a powerlifting score, and a percentile against named real-data cohorts. Save a result locally or send a challenge that leaves bodyweight, age, sex, and profile data out of the link. Every formula and population is named; nothing needs an account.

186,303 recent meet rows · 615,721 lift observations · named cohorts · free · no ads · no account

Calculate a strength result male 83 kg · age 30 · raw · bench p50 137.5 kg · n 229

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Turn a working set or target into usable training loads.

Compare strength

Put a lift or total into a named comparison model.

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Prepare bodyweight class and attempt selection.

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Estimate energy needs, targets, and body metrics.

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Inspect tables, methods, data, and caveats.

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Reference data

What is a good DOTS score?

DOTS (Konertz, BVDK 2019) is the de-facto raw-open scoring standard on OpenPowerlifting and US raw federations like USPA — not an IPF formula (the IPF's own official coefficient since 2020 is IPF GoodLift). It gained ground because the older Wilks formula systematically under-scored heavier lifters. The table takes the current total-kilogram percentile anchors for male 83 kg class, age 30, raw, then converts each total to DOTS at exactly 83.0 kg bodyweight. A 582.5 kg total is p50 for that total cohort and scores 393.2 DOTS at 83.0 kg; this does not mean 393.2 is the median of the cohort's row-wise DOTS scores.

Total-percentile anchors converted to DOTS at exactly 83.0 kg · male, 83 kg class, age 30, raw · n = 182 qualifying total observations · repeat competitors may contribute more than one · source dump dated 2026-05-16, latest included meet 2026-05-10 · CC0 (openpowerlifting.org)
Percentile Total (kg) DOTS Reads as
10th463.5312.9lower decile
25th525.0354.4lower quarter
50th582.5393.2median
75th650.0438.8top quarter
95th732.0494.2top 5 %

DOTS values are coefficient conversions of the listed total thresholds using the Konertz / BVDK 2019 polynomial at male 83.0 kg. The percentile and “reads as” labels belong to the total distribution; they are not row-wise DOTS quantiles or federation classifications. See the full per-cohort total breakdown in rankings.

Where the percentiles come from

The powerlifting cohorts use 186,303 eligible source rows from the OpenPowerlifting CC0 dump dated 2026-05-16; 186,218 rows contribute 615,721 lift observations in the window from 2025-05-10 through the latest included meet on 2026-05-10. Cells are segmented by sex, per-year age (15–80), IPF bodyweight class and equipment. Cell n counts observations for that lift, not unique people. /rankings does not estimate a general-population percentile.

Full cohort-cell widening rules and source links live in rankings and method; the static reference page is faq.

Which 1RM formulas, from where

Seven formulas are computed in parallel and their disagreement is surfaced as a low/high range plus half-range ±%: Epley, Brzycki, Mayhew (PMID 1614532), Lombardi, O'Conner, Wathan, and Lander. With the equations implemented here, the full range is about 5.6% at 5 reps, 6.2% at 8 reps, and 11.8% at 12 reps; it is an estimator-disagreement range, not a statistical confidence interval. The Prilepin volume table is the Charniga translation of A. S. Medvedyev, A System of Multi-Year Training in Weightlifting (Sportivny Press, 1986).

Per-formula citations, validation studies (LeSuer et al. 1997), and the full Prilepin chart live in method; the static reference page is faq.

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LiftGauge · code and copy under CC0 · OpenPowerlifting dataset under CC0 (openpowerlifting.org) · Privacy.

Strength standards — squat, bench, deadlift & total benchmarks by bodyweight from sanctioned meet results.