DOTS vs Wilks vs GL: Scoring Coefficients Compared

The common structure

Wilks, DOTS, Glossbrenner, and IPF-GL all compute a score of the form:

Score = Total × Coef(bodyweight)

Coef(BW) = 500 / (a + b·BW + c·BW² + d·BW³ + e·BW⁴ + f·BW⁵)

Two things change between formulas:

1. The coefficients (a, b, c, d, e, f). Each formula has different values, fitted against a different dataset.
2. The sex-specific set of coefficients. Men and women get different polynomials; IPF-GL and DOTS additionally provide separate coefficients for squat-bench-deadlift total vs bench-only competitions.

Because the structural form is identical, the formulas produce monotonically similar rankings for lifters close in bodyweight. The differences become visible at the extremes — very light (~52–59 kg class) and very heavy (~120 kg+).

Wilks: the 1994 benchmark

The Wilks formula, introduced by Robert Wilks of the IPF in 1994, was fitted against the IPF's then-current top-performer dataset.^[3] For two decades it was the default powerlifting coefficient.

Two criticisms accumulated by the mid-2010s:

• Sub-75-kg lifters scored disproportionately well. The 1994 dataset had fewer elite lifters at the lighter weight classes, so the coefficient compensated generously.
• Super-heavyweight lifters were penalised. The coefficient fell off steeply above 120 kg.

Greg Nuckols' 2020 analysis^[6] showed that for a 500-kg total at 67.5 kg vs a 900-kg total at 140 kg, Wilks would return scores that no informed observer would treat as equivalent.

DOTS: the 2019 correction

The Dynamic Objective Team Scoring formula was introduced in 2019^[1], fitted against a much larger and more modern dataset of elite totals scraped from Open Powerlifting. Its coefficient curve is flatter across the midrange and does not crater at super-heavyweight bodyweights the way Wilks does.

DOTS is now the default score used on Open Powerlifting's “total points” rankings and on most fed-agnostic meet scoreboards. The DOTS Score Calculator implements the 2019 coefficients directly from the published derivation.

How DOTS behaves across the bodyweight range

Men's DOTS coefficient, example totals:

BW (kg)   Total (kg)    Wilks     DOTS      IPF-GL
─────────────────────────────────────────────────────
 59        450           362       354       341
 74        600           410       413       408
 93        700           438       443       442
120        800           457       461       462
140        900           471       479       485

Observe the shape: Wilks gives away points at the light classes and takes them back at the heavy classes. DOTS and IPF-GL are closer to linear across the range. For anything above 93 kg, DOTS and IPF-GL agree within about 1% of each other. Below 74 kg, there can be 10+ points of disagreement.

IPF-GL (Goodlift): the IPF's answer

The IPF introduced its own Goodlift (IPF-GL) coefficients in 2020^[2], fitted against IPF-sanctioned meet data specifically. Structurally identical to DOTS, practically very similar in output, but the IPF has strong institutional reasons to use its own coefficient set rather than an external community one.

For a lifter choosing which to quote: IPF-GL is the official IPF score at IPF meets. DOTS is the community-standard score on Open Powerlifting and at most non-IPF feds. Both are defensible. Wilks should be treated as historical at this point — useful for comparing against old records, not for evaluating current performances.

Glossbrenner and Wilks2

Two transitional formulas bridged the Wilks-to-DOTS gap:

• Glossbrenner was a modified Wilks used by the USAPL between 2019 and 2020, fitted to USAPL-specific data.^[4] Rarely cited today.
• Wilks2 (2020) was Robert Wilks' own recalculation against more modern data.^[5] The IPF briefly used it before moving to IPF-GL.

The DOTS / Wilks / GL Combined Calculator returns all three primary scores from a single total plus bodyweight entry so you can see how a given performance reads across formulas.

Worked examples at real bodyweights

Three lifters, same total, different bodyweights:

Lifter A: 67.5 kg male, total 500 kg
  Wilks:    364    (coefficient 0.728)
  DOTS:     357    (coefficient 0.714)
  IPF-GL:   344    (coefficient 0.688)

Lifter B: 93 kg male, total 700 kg
  Wilks:    438    (coefficient 0.626)
  DOTS:     443    (coefficient 0.633)
  IPF-GL:   442    (coefficient 0.631)

Lifter C: 140 kg male, total 900 kg
  Wilks:    471    (coefficient 0.523)
  DOTS:     479    (coefficient 0.532)
  IPF-GL:   485    (coefficient 0.539)

Observe: Lifter A appears to score highest on Wilks but lowest on IPF-GL. Lifter C appears to score lowest on Wilks but highest on IPF-GL. The rank-ordering of lifters — which is what matters in a meet — changes depending on which formula is used.

Historical totals rescored

If you quote a 20-year-old total using DOTS, you're applying a coefficient set that didn't exist when the lift was performed. This is analogous to adjusting baseball home run totals for ballpark size: defensible but strictly revisionist. For academic comparison, re-run historical totals through each formula and present the triple. For ranking on contemporary scoreboards, use DOTS and move on.

Coefficient drift at the bodyweight tails

Under 59 kg bodyweight, all formulas become less reliable because the training population at these weights is smaller. Coefficients are extrapolations more than fits. Practically, sub-59 kg lifters should take relative-formula rankings with a small grain of salt — differences of 10–15 coefficient points between formulas aren't uncommon.

Above 140 kg bodyweight, the coefficients also become less reliable because elite super-heavyweight lifters are a smaller cohort with more variation. DOTS and IPF-GL both extrapolate the polynomial; Wilks curves away more steeply. If you're super-heavyweight, you'll score meaningfully better on DOTS/IPF-GL than on Wilks almost by definition.

Why the formulas share a structure but differ in fit

All four use a fifth-order polynomial because aerobic and anaerobic scaling, lever arm length, and muscle-mass-to-bodyweight ratios all vary continuously across bodyweight without sharp transitions. Simpler formulas (linear, power-law) don't capture the complex curvature between classes.

The fit differs because:

• Dataset size — DOTS uses a much larger dataset than Wilks did in 1994.
• Dataset composition — IPF-GL fits IPF totals specifically; DOTS fits open-federation totals including multi-ply and raw.
• Sex-specific fits — DOTS and IPF-GL refit women's coefficients separately; Wilks used a single transformation.

Which formula should you use?

Three decisions:

1. Comparing to meet records in a specific federation: use whatever that federation uses. IPF meets = IPF-GL. Most non-IPF = DOTS.
2. Comparing cross-federation: DOTS. It's the most widely adopted community standard and Open Powerlifting ranks on it.
3. Tracking your own progress: any of them, consistently. Your own DOTS climbing by 25 points over a year means the same thing whether you'd use DOTS or IPF-GL — the coefficient drift over a single lifter's bodyweight change is small.

Practical guidance for meet day

If you're picking attempts and you want to push for a coefficient score rather than an absolute total, the arithmetic is the same for all three formulas: get the total up. Coefficient improvements from cutting weight are almost always smaller than coefficient improvements from adding kilograms to the total, once you're past your novice progression. The Meet Day Attempt Selector plans attempts to maximise total given your training 1RM estimates.

Summary

• DOTS and IPF-GL are the two current standards; Wilks is historical.
• The polynomial structure is shared — the coefficients differ.
• Light lifters score best on Wilks, worst on DOTS. Heavy lifters score best on DOTS, worst on Wilks.
• For your own progression, pick one and stick with it.
• When quoting scores in public, match the formula to the federation (IPF = GL, otherwise DOTS).

Calculators: DOTS Score Calculator, DOTS / Wilks / GL Combined, 1RM Calculator.

Population boundaries and fitting-dataset context

Every coefficient set in this article was fit on a specific snapshot of competitive powerlifting data. Honest use requires knowing the sample:

• Wilks 1994 — sample. IPF-sanctioned totals from the early 1990s, predominantly from international championships and national qualifiers^[3]. Women's dataset was substantially smaller than men's. Raw lifting was uncommon at the time — most totals were equipped (bench shirts, squat suits), which shifts the total-to-bodyweight ratio and makes the original Wilks coefficients less applicable to modern raw meets.
• DOTS 2019 — sample. Tens of thousands of totals scraped from Open Powerlifting across federations and eras, filtered to raw lifting^[1]. Coefficient fit is more robust due to sample size, but the aggregated cross-federation dataset mixes USAPL, USPA, SPF, WRPF, and others with different judging standards. This is a feature for cross-federation comparison and a source of noise for within-federation comparison.
• IPF-GL 2020 — sample. IPF-sanctioned raw totals 2012–2020, predominantly from classic (raw) divisions^[2]. Judging is standardised; data is clean. The trade-off is a narrower population: elite-tier competitors rather than the full community distribution DOTS fits.
• No formula captures equipped-powerlifting dynamics. All three default formulas were fit or refit on raw data. Equipped totals at the same bodyweight score 10–25% higher than raw totals, which breaks Wilks/DOTS/GL interpretation. Equipped federations use their own coefficient sets; do not quote a raw DOTS for an equipped lifter.
• Teenage and masters divisions apply age coefficients on top of bodyweight coefficients. None of the base formulas in this article encode age; separate age-coefficient tables (AH coefficients, McCulloch) layer on top for junior and masters scoring.

Alternative-view framing: lift-specific scoring

All three mainstream formulas score the aggregate total. Two alternative frameworks score differently:

• Sinclair-style lift-specific weighting. Olympic weightlifting uses Sinclair coefficients that scale differently across bodyweight than powerlifting polynomials, because snatch and clean-and-jerk are more technical/velocity-dependent. Proposals to apply lift-specific weightings to powerlifting (squat, bench, deadlift scored separately, then summed with bodyweight-class-specific weights) have been floated but have not achieved community adoption — the rank-preservation benefit is small relative to the complexity cost.
• Allometric bodyweight^0.67 scaling. Some sports-science writers argue for a simpler bodyweight^0.67 (or similar) scaling based on biological cross-sectional-area arguments, rather than a fifth-order polynomial. Results are broadly similar in the middle of the bodyweight range but diverge at the tails; the empirical polynomial fits observed data more closely than theoretical allometric curves.
• Bench-only scoring. DOTS and IPF-GL both publish separate bench-only coefficients because bench press scales differently with bodyweight than the aggregate total. A 180 kg bench at 83 kg scores differently on bench-only DOTS than the same number at 140 kg would.

Worked example: choosing a federation and coefficient for personal records

A lifter tracks two years of meets across federations:

Meet               BW    Total   Wilks   DOTS    IPF-GL
──────────────────────────────────────────────────────────
Year 1 IPF open     85.1   565    383     386     385
Year 1 USAPL meet   84.8   570    386     389     388
Year 2 IPF open     86.5   590    393     397     395
Year 2 USPA meet    87.2   605    399     403     401

Year-over-year delta (best total)
  Wilks:  +16
  DOTS:   +17
  IPF-GL: +16

Best Wilks/DOTS/GL per year (across feds):
  Year 1:  Wilks 386 / DOTS 389 / IPF-GL 388
  Year 2:  Wilks 399 / DOTS 403 / IPF-GL 401

The year-over-year progression is nearly identical across formulas — 16 to 17 points regardless of which coefficient is used. For personal tracking, the choice of formula is essentially irrelevant; pick one and stick with it. For cross-federation ranking on Open Powerlifting, DOTS is the default. For ranking against IPF records at an IPF meet, IPF-GL is the score that matters. The Wilks numbers are useful only for comparing against pre-2019 historical totals that were themselves quoted in Wilks.

Common failure modes

• Quoting Wilks for a modern total. The community moved to DOTS in 2019. Citing a 2024 Wilks score reads as dated and undervalues super-heavyweight lifters relative to their DOTS equivalents.
• Mixing raw and equipped scores. A raw DOTS of 430 and an equipped total's "DOTS" are not apples-to-apples. Equipped totals need federation-specific equipped coefficients or an equipped-to-raw adjustment before any comparison.
• Applying adult coefficients to teenagers and masters. A 16-year-old at 380 DOTS is not scoring the same as a 30-year-old at 380 DOTS; age coefficients adjust for developmental and age-related performance. Use AH/McCulloch adjustments for masters and teen brackets.
• Assuming a 0.8 DOTS improvement is meaningful. Coefficient noise + judging noise + bodyweight measurement (2-hour vs 24-hour weigh-in) easily produces ±2 DOTS of session-to-session noise. Only meaningful score changes are >5 DOTS.
• Super-heavyweight Wilks-anchored records. Historical 140 kg+ Wilks records look artificially low compared to DOTS/IPF-GL equivalents. When quoting historical legends at super-heavyweight, re-run their totals through DOTS or IPF-GL before comparing against current competitors^[6].
• Blind trust in a federation's "best lifter" scoreboard. Each federation uses its preferred formula. A "best lifter" title at a USAPL meet scored on DOTS may become a very different "best lifter" at an IPF meet scored on GL. Read the fine print: what formula was applied, on what bodyweight-measurement basis.
• Ignoring 2-hour vs 24-hour weigh-in effects. A lifter competing at the same absolute bodyweight has different Wilks/DOTS/GL coefficients depending on federation-specific weigh-in timing. A 105 kg lifter making the 93 kg class at 24-hour weigh-in (weighed in at 92.9 kg, rehydrated to 97 kg by bar-out) gets a coefficient for 92.9 kg — not the 97 kg at which he actually competes. The math favors bigger cuts under 24-hour rules and penalises the 2-hour federations accordingly.

Age coefficients and para-powerlifting

Beyond the bodyweight-based Wilks/DOTS/GL, two additional layers of coefficient adjustment exist for specific populations:

• Junior and masters age coefficients (AH, McCulloch). Multiply the bodyweight coefficient by an age-specific factor. A 65-year-old at masters-2 (60–69) scoring 350 DOTS has an age-adjusted score meaningfully higher than a 28-year-old at 350. The coefficients are fit on observed age-related performance decline across competitive cohorts.
• IPF-GL Para coefficients. For World Para Powerlifting, bench-press-only competition uses its own coefficient set fit on the para population. The mainstream IPF-GL coefficients are not designed for these competitions; using them misrepresents the rank ordering.

For most lifters competing in standard open classes, the base DOTS / IPF-GL number is the right score to quote. For masters athletes, pair the base score with the age-adjusted figure to capture both the absolute performance and the age-context quality.