DOTS Score
Also known as: DOTS Coefficient, Dynamic Objective Team Scoring, Wilks Replacement
A bodyweight-adjusted scoring formula for powerlifting that replaced the original Wilks in most federations in 2019, including the IPL and several national federations. DOTS uses the same polynomial-coefficient idea as Wilks — multiply your meet total by a coefficient derived from your bodyweight — but the formula was refitted to a much larger and more modern lifter dataset (~700,000 results from OpenPowerlifting) and uses a corrected curve shape that addresses the main Wilks bias of over-rewarding mid-weight male lifters. DOTS is what most contemporary powerlifting calculators default to today; the IPF uses its own IPF GL Points instead, but DOTS dominates the broader open-meet circuit.
Formula
DOTS Score = totalLifted (kg) × dotsCoefficient(bodyweightKg, sex)
The coefficient is a 5th-order polynomial fitted by Reactive Training Systems in 2019. Closed form:
C(bw) = 500 / (a + b·bw + c·bw² + d·bw³ + e·bw⁴)
Men: a=-307.75076, b=24.0900756, c=-0.1918759221, d=0.0007391293, e=-0.000001093
Women: a=-57.96288, b=13.6175032, c=-0.1126655495, d=0.0005158568, e=-0.0000010706
Quick examples:
Male, 83 kg bodyweight, 600 kg total → DOTS ≈ 405
Male, 105 kg bodyweight, 700 kg total → DOTS ≈ 437
Female, 63 kg bodyweight, 380 kg total → DOTS ≈ 437
The same scoring bands apply as for Wilks (300 solid intermediate, 400 competitive, 450+ national-elite, 500+ world-class) — but the per-lifter number is close to Wilks at mid-weights and visibly different at the extremes.Example
Same two lifters from the Wilks example: Lifter A: 83 kg bodyweight, total 620 kg → Wilks ≈ 424, DOTS ≈ 418 (close) Lifter B: 120 kg bodyweight, total 780 kg → Wilks ≈ 451, DOTS ≈ 462 (DOTS rewards heavier lifters more) Under Wilks, Lifter B wins by 27. Under DOTS, Lifter B wins by 44. The two formulas can put different competitive heads on the same meet; DOTS's flatter mid-weight peak means the heaviest lifters benefit slightly relative to mid-weights, which is exactly the Wilks bias DOTS was built to correct. Practical implication: if a federation switched mid-season from Wilks to DOTS, expect the meet-of-the-day rankings to shuffle even though no lifter changed.
How Afitpilot Uses This
Afitpilot doesn't currently compute or display DOTS on the session card or progress view — the cross-session strength metric remains e1RM trended on the anchor exercise. DOTS is on the same roadmap candidate as Wilks: the planned `/calculators/wilks` page (Tier 1.2 in the SEO plan) will likely surface DOTS alongside Wilks for athletes who want both scores or who lift in a DOTS-default federation. For competition-bound athletes today: check which formula your federation uses, compute it for your meet total using any of the standard online calculators, and don't use the DOTS-vs-Wilks numerical difference as evidence that one lifter is 'really' stronger than another — the difference is the formula, not the athlete.
DOTS vs. Wilks — where they differ
| Who / Context | Value | Note |
|---|---|---|
| Where DOTS and Wilks agree most closely | Mid-weight lifters (75-95 kg male) | Within 5 points for typical totals in this range |
| Where DOTS rewards more than Wilks | Heavyweight (105 kg+) and super-heavyweight | DOTS curve doesn't penalise heavy lifters as much as Wilks does |
| Where DOTS rewards less than Wilks | Light male (sub-66 kg) | Mostly because the DOTS dataset includes more light lifters than 1994 Wilks did |
| Federations that adopted DOTS | USAPL, USPA, IPL, and many national feds | Most non-IPF open-meet circuits |
| Federations that did not adopt DOTS | IPF (uses IPF GL Points), USPF, WPC | Each federation chose differently around 2019-2020 |
| Dataset behind the DOTS fit | ~700,000 OpenPowerlifting results | Roughly 100x larger than the dataset Wilks was fitted on in 1994 |
| Source of the DOTS coefficients | Reactive Training Systems, 2019 | Open methodology, published online — easy to re-derive or audit |
| Practical scoring band overlap with Wilks | 300 / 400 / 450 / 500+ bands carry across | Useful: athletes don't need to relearn what a 'good' score is |
Known Limitations
- •DOTS inherits the structural limitations of polynomial-coefficient scoring: descriptive curve fit, not derived from physiological first principles, baked-in biases of its 2019 elite dataset. The bias direction is opposite to Wilks's (slight over-reward at heavy weights vs. Wilks's slight over-reward at mid-weights), not absent.
- •DOTS, Wilks, IPF GL Points, and SBD Points are all in active use across different federations and time periods. A 'powerlifting score' on a forum or training log is ambiguous unless the formula is named — and they can disagree by 5-10% on the same meet total.
- •The DOTS coefficients were fitted on OpenPowerlifting data, which over-represents English-speaking federations and raw lifting. Equipped powerlifting populations and federations outside the OpenPowerlifting coverage are less well represented in the fit.
- •Like Wilks, DOTS uses separate male and female coefficient sets. Cross-sex DOTS comparisons are a convention, not a physiological claim — the gap between the two coefficient curves bakes in the bodyweight-normalised performance gap of the 2019 elite population, which is itself contested.
- •DOTS is meet-total-specific (squat + bench + deadlift). Applying it to single-lift totals, partial totals, or strict-press federation lift lists breaks the comparison the formula was built for, exactly like Wilks.
- •Federations have moved on different timelines: USAPL, USPA, IPL switched to DOTS in 2019-2020; IPF moved to IPF GL Points in 2020; some smaller federations still use Wilks. A cross-federation comparison via a single formula is necessarily approximate.
Science Context
DOTS was developed by Reactive Training Systems in 2019 as a direct response to the documented biases of the original Wilks formula. The methodology — fit a 5th-order polynomial in bodyweight to a large, modern lifter dataset — is the same general approach Wilks used, but with two key differences: the dataset is roughly 100x larger (~700,000 OpenPowerlifting meet results vs. Wilks's original elite cohort), and the curve shape was deliberately constrained to reduce the mid-weight over-reward that Vanderburgh & Batterham 1999 and subsequent allometric-scaling critiques had highlighted. The IPF's parallel 2020 move to IPF GL Points (Sébastien Mathieu, 2020) used a similar 'fit a new curve on a bigger modern dataset' approach but with a different functional form and a different target federation, producing yet another scoring system. None of these are physiologically derived in the way allometric-scaling proponents argue strength comparisons should be (bodyweight^0.67 exponential); all of them are pragmatic descriptive fits to elite-lifter performance distributions. The honest practical summary Afitpilot adopts: DOTS is a better-fitted version of the same kind of formula Wilks was, addresses a known bias, and is the right default for the post-2019 open-meet circuit — but the meta-question of whether polynomial-coefficient scoring is the right tool at all remains contested, and athletes who use any of these scores should treat the number as a benchmark, not a verdict.