Original data · October 2026

The State of 5x5

We analyzed 24,205 real workouts from 2,370 lifters. Here's how fast 5x5 actually works — and what separates the lifters who make it from the ones who don't.

+30kg

Median squat gained

26%

Squat ≥ bodyweight

39%

Reach 10 sessions

How much you actually gain

Among the 1492 lifters who trained consistently (at least four logged sessions with real progression), here's the median weight added to each lift. The lower-body lifts climb about twice as fast as the presses — exactly how 5x5 is built to work.

Squat +30kg / +66lb
Deadlift +25kg / +55lb
Bench Press +17kg / +38lb
Barbell Row +11kg / +24lb
Overhead Press +10kg / +22lb

Median weight added per lift · 1492 consistent lifters.

Where lifters end up

Squatting your own bodyweight is the classic first strength milestone. In our data, 26% of active lifters were squatting at least their bodyweight — for sets of five, not a one-rep max. Because a 5-rep working weight sits well below a true max, the real share who could squat bodyweight for a single rep is meaningfully higher. Only about 1 in 37 had pushed their working squat past 1.5× bodyweight, the line where "intermediate" starts to become "advanced."

The real bottleneck isn't the program — it's showing up

This was the clearest finding in the whole dataset. 5x5's progression is almost foolproof: add a little weight every session, deload when you stall. The lifters who followed it got strong fast. But the median lifter logged just 7 sessions. About 4 in 10 reached 10, and only 1 in 10 reached 25.

The takeaway isn't that 5x5 fails — it's that consistency, not programming, is what separates the lifters who add 30kg to their squat from the ones who don't. The hardest rep is the one where you show up in week three.

Half of all lifters start at the bar

Half of lifters (49.5%) started with the empty 20kg barbell on squat — the program's recommended default. That share was 58% in July: more people now arrive with training behind them and enter a heavier starting weight. Starting light feels too easy, but it's the point: it lets you nail technique while the linear gains do the work. The lifters who started here are the same ones who added 30kg a few months later.

What changed since July 2026

First, the counting. This edition only counts workouts logged in the app. The July edition's 15,128 also included about 5,100 workouts that lifters had imported from another app. Counted the same way as today, July was 10,019 workouts, so the dataset has grown from that to 24,205, and from 852 to 1,492 consistent lifters.

The two biggest lifts did not move at all: squat +30kg and deadlift +25kg, identical in June, July and October. Overhead press held at +10kg. Two medians slipped: bench went from +17.5kg to +17kg and row from +12.5kg to +11kg. Consistency went up: 39% of lifters now reach 10 sessions, up from 31%, and the median lifter has logged 7 sessions instead of 5. Part of that is simply time: an older dataset has given more lifters the weeks they need to get there.

Be one of the lifters who sticks with it

Lift5x5 tells you exactly what to lift every session and tracks every set, so showing up is the only thing you have to think about. Free, no ads.

Get the free app

Methodology & honesty

  • Based on 24,205 workouts and 2,370 lifters who logged at least one session in the app, snapshot October 2026.
  • Workouts imported from another app are not counted (new in this edition). Earlier editions included them; the comparison above is restated on the same basis.
  • "Consistent lifters" (1492) = at least four logged sessions with measurable squat progression. Progression figures use this group.
  • We report medians, not averages, so a few very strong lifters don't distort the numbers.
  • Weights are 5-rep working weights, not one-rep maxes — so strength figures are conservative.
  • The dataset skews heavily male (about 94% of the consistent lifters who stated a gender; earlier editions said 99%, which counted lifters who had not answered as male) and mostly beginner. It is real-world app data, not a controlled study, and shouldn't be read as one.
  • All data is anonymized and aggregated; no individual lifter is identifiable.