Percentiles for the squat, bench, deadlift and total among tested raw competitors — built from 303,342 real lifters in the public-domain OpenPowerlifting dataset. No invented numbers.
These percentiles describe competitive powerlifters — people who entered a drug-tested category at a meet and lifted in front of judges. They are not a sample of gym-goers, and they are not "the average person". This population skews strong.
Landing at the 10th percentile here does not mean you are weaker than 90% of people who lift. It means you are lifting less than 90% of people who compete. Most people who train have never entered a meet at all. Use this as a map of where competition sits, not as a verdict on you.
of tested raw competitors in the 74–83 kg men's class (45,049 lifters). Not of the general population — see the note above.
A strength standard answers one narrow question: out of a defined group of people, what fraction lift less than this? Everything hangs on the group. Change the population and the same 100 kg bench moves from remarkable to routine.
The group here is the strictest one we could build from public data: lifters who entered a drug-tested meet, lifted raw, completed all three lifts, and were not disqualified. Each person appears once, at their best. That makes the numbers honest about what they measure — and it makes them a high bar, because everyone in the sample chose to compete.
So use the table as a map of the sport, not a scoreboard for your life. The only number that reliably predicts your next lift is the one you wrote down last week.
Computed from the OpenPowerlifting bulk CSV export, snapshot 2026-07-04 (revision 9acfa1cf). OpenPowerlifting contributes its competition data to the public domain — "all CSV data is waived of all copyright and related or neighboring rights" (licence re-read 2026-07-10). You can download the same data at gitlab.com/openpowerlifting/opl-data and reproduce this table with scripts/build-strength-standards.ts in the Bikkel repo.
| Step | Rows remaining |
|---|---|
| all rows in export | 3,962,926 |
| Equipment = Raw | 1,878,723 |
| + Tested = Yes | 1,390,873 |
| + Event = SBD | 956,594 |
| + Place not in {DQ, DD, NS} | 919,311 |
| + Sex in {M, F} | 919,228 |
| + bodyweight & all 3 lifts & total present | 918,132 |
| + all lifts > 0 | 918,132 |
| + bodyweight in [40, 250] kg | 915,925 |
| + lifts under sanity caps | 915,925 |
| + not known to be under 18 | 810,111 |
| deduped to one row per lifter (best total) | 303,342 |
The final step deduplicates to 303,342 distinct lifters — one row per person, their best-ever total — so that frequent competitors do not dominate the distribution. Mx-category lifters are excluded (too few to form a percentile), as are lifters known to be under 18. Age is missing on roughly 15% of rows, so a small number of unlabelled juniors remain. Percentiles use linear interpolation between the two nearest ranks.
Two honest limits of the source columns: Tested records that a lifter entered a drug-tested category, not that they personally provided a sample — federations do not publish who was tested. Equipment likewise records the category entered, not what was worn on the day.