MariposasDOTS Calculator
By Zachary, builder of Mariposas · Reviewed against published exercise-science sources (references)
· Last updated June 2026
Strength DOTS is the current coefficient used to compare powerlifting totals across body weights, having largely replaced Wilks. Enter your sex, body weight and total to get your score.
How it works
DOTS uses a fifth-degree polynomial fitted to the distribution of elite powerlifting results across body weight classes, separately calibrated for male and female lifters. The core idea is that strength does not scale linearly with body weight, and older systems like Wilks increasingly diverged from actual competition outcomes, particularly at the lighter and heavier ends of the weight spectrum. The DOTS formula produces a coefficient by plugging the lifter's body weight into that polynomial, then divides the raw total by that coefficient to yield a single dimensionless score. Because the polynomial was fitted against a large modern dataset of IPF competition results, it tracks the real-world distribution of top totals more accurately than its predecessors. A higher DOTS score means a more impressive total relative to what lifters of that body weight have historically achieved.
When to use it
DOTS is the tool to reach for any time you want to pit totals against each other across different weight classes, whether that's comparing your own progress across a bulk or cut, sizing up competitors on a leaderboard, or settling a friendly gym debate about who's relatively stronger. It's also the standard the IPF and many affiliated federations now use for Best Lifter awards and open rankings, so understanding your score gives you a realistic sense of where you stand in the broader competitive landscape.
Worked example
Say a female lifter weighs 72 kg and posts a competition total of 380 kg (a 127.5 kg squat, 82.5 kg bench, and 170 kg deadlift). Plugging those numbers into the DOTS formula produces a coefficient somewhere in the range of 0.55 to 0.60 for that body weight on the female curve, yielding a DOTS score around 210 to 215. That score would place her solidly in the competitive intermediate-to-advanced range at most open meets, and a score above 250 would put her among the elite. The number itself is unitless and only meaningful in comparison, so the real value comes from tracking it over training cycles or stacking it next to published leaderboard cutoffs for her federation.
Tips for an accurate result
- Use your actual competition weigh-in body weight, not your morning scale weight at home. Even a kilogram of difference shifts the coefficient enough to matter when you're comparing scores seriously.
- Enter your best competition total, not a sum of gym PRs from different sessions. DOTS was built on competition data, so mixing a gym squat PR with a meet deadlift PR produces a score that doesn't map cleanly onto any real competitive context.
- If you're mid-bulk or mid-cut and your body weight is fluctuating week to week, run the calculator at a few different body weights to see how your projected score changes. This can help you decide whether competing at a lower or higher weight class makes strategic sense.
- Keep a log of your DOTS score over time alongside your body weight and total. Because it normalizes for body weight, a rising DOTS score during a bulk confirms you're gaining strength faster than mass, which is harder to see if you're only watching the total.
- Don't conflate DOTS with Wilks if you're comparing old meet results to new ones. The two formulas use different polynomials and different calibration datasets, so a 350 Wilks from 2015 is not the same competitive placement as a 350 DOTS today.
Formula & sources: methodology · references.
Now go hit the number Mariposas turns every workout, run and class into progress · collect a cute pet 🐾FAQ
- Why did powerlifting switch from Wilks to DOTS?
- Wilks was calibrated on older, smaller datasets and showed a systematic bias toward mid-range body weights, effectively penalizing very light and very heavy lifters when comparing across the full weight spectrum. DOTS was developed by Tim Kowalski using a much larger and more recent pool of IPF competition results, and the fitted polynomial hugs the actual distribution of elite totals more evenly from roughly 40 kg up through the superheavy classes.
- Is DOTS used by all powerlifting federations?
- The IPF and its national affiliates (including USAPL) officially adopted DOTS, making it the standard for their Best Lifter calculations and open rankings. Some other federations still use Wilks, Glossbrenner, or their own coefficients. If you're competing in a non-IPF fed, it's worth checking which formula their leaderboard uses before assuming your DOTS score is the relevant benchmark.
- What counts as a good DOTS score?
- Rough reference points for raw lifting: scores below 150 are beginner territory, 150 to 200 covers recreational to intermediate competitors, 200 to 250 represents solid competitive lifting, and anything above 300 is world-class. These bands shift somewhat between male and female curves because the polynomials are calibrated separately, but the general ladder holds. The most useful comparison is always within your own federation's published rankings rather than against a generic scale.
- Does DOTS work for equipped powerlifting?
- The formula itself doesn't distinguish between raw and equipped lifting. You can calculate a DOTS score for an equipped total, and many federations do so for their equipped divisions. The scores aren't directly comparable across the two styles, though, since equipped totals are substantially higher and the distribution of elite equipped results is different. Use DOTS to compare within a category, not to cross-compare a raw total to an equipped one.
- Can I use DOTS for individual lift comparisons, not just the total?
- Technically you can plug a single-lift number into the formula in place of the total and get a coefficient-adjusted score, and some lifters do this informally to compare, say, their deadlift against a training partner's. The formula was designed around three-lift competition totals, though, so single-lift comparisons carry a bit more noise. For a strict single-lift coefficient, specialized tools like the IPF GL Points (which use the same polynomial framework) are sometimes preferred in single-lift contexts.