FFMI Calculator
Lean mass, fat-free mass index and the height-normalised figure, with the typical trained ranges.
| Fat-free mass index | 20.1 above average |
|---|---|
| Normalised FFMI | 20.2 FFMI scaled to a 1.8 m reference height |
| Lean body mass | 63.8 kg (140.5 lb) body weight minus fat mass |
| Fat mass | 11.3 kg (24.8 lb) at 15% body fat |
| Body fat used | 15% from tape measurements or a scale estimate |
| Typical trained range | 18 to 23 above 25 (men) usually means the body fat input is too low |
Population reference bands, not a target; your own figures are printed in the result table above.
What FFMI measures
Fat-free mass index divides your lean body mass - everything that is not fat - by your height squared. It answers a question BMI cannot: how much muscle does this person carry for their size? Two men at 80 kg with 10% and 25% body fat have nearly 12 kg difference in lean mass, and FFMI separates them cleanly.
The measure comes from bodybuilding research, where it is used to describe how much muscle is realistic without drugs. It is also used in clinical nutrition, where low fat-free mass predicts poor outcomes in illness. For a healthy reader it is a useful way to see whether weight changes are muscle, fat or water.
| FFMI | Men | Women |
|---|---|---|
| Below average | under 18 | under 15 |
| Average | 18 to 19.9 | 15 to 16.9 |
| Above average | 20 to 21.9 | 17 to 18.9 |
| Excellent | 22 to 22.9 | 19 to 20.9 |
| Superior | 23 to 25.9 | 21 to 23.9 |
How FFMI is calculated
The formula is lean mass in kilograms divided by height in metres squared. Lean mass comes from your body weight and body fat percentage, so an accurate fat measurement matters: a five percentage point error in body fat at 75 kg is nearly 4 kg of lean mass, which moves FFMI by more than a full point.
Because taller people carry more lean mass for the same FFMI, the raw figure slightly disadvantages them. The normalised version corrects for this with the standard adjustment: FFMI plus 6.1 times (1.8 minus height in metres). A 190 cm person and a 170 cm person with the same normalised FFMI carry proportionally similar muscle.
Reading your result
The first row is your FFMI and its category, the second the normalised figure, and the next two rows split your body weight into lean mass and fat mass. The last two rows restate the body fat input used and the typical trained range, which is a reminder that the whole calculation depends on how accurate that body fat number is.
For the default inputs - 75 kg at 178 cm with 15% body fat - lean mass is about 63.8 kg, FFMI is 20.1 and normalised FFMI is 20.2, which lands in the 'above average' band. A trained lifter at the same height and 80 kg with 12% body fat would score about 22.3.
The natural ceiling question
FFMI became well known because of a 1995 study that compared drug-free and steroid-using bodybuilders. Drug-free athletes in the sample rarely exceeded an FFMI of about 25, while users clustered above 27. That is the origin of the often-quoted 'natural limit' figure.
The number is a population observation, not a law. Sample sizes were small, measurement methods varied, and individual ceiling depends on frame, muscle fibre distribution, training history and genetics. It is more useful as an explanation for why progress slows after several years of training than as a test of whether anyone is natural.
Accuracy and limitations
FFMI is only as good as the body fat measurement behind it. Tape methods carry 3 to 4 percentage points of error, impedance scales worse, and calipers depend heavily on the tester. That error propagates directly into lean mass and therefore into FFMI.
- Use the same body fat method every time you compare.
- A DEXA scan gives the most reliable single baseline.
- Very tall or very short people should compare normalised FFMI.
- Do not use FFMI to diagnose anything - it is a composition ratio, not a health marker.
Using FFMI practically
The most useful application is tracking. If your weight rises 2 kg while FFMI rises and body fat falls, the gain is muscle. If weight rises while FFMI stays flat, the gain is fat or water. That single comparison is more informative than the scale on its own, particularly during a lean bulk or a body recomposition phase.
It is less useful as a target. Chasing an FFMI number encourages either over-measuring body fat or gaining weight faster than muscle can be built, and the honest rate of muscle gain for a trained lifter is roughly 0.25 to 0.5 kg a month at best.
- Track FFMI every 8 to 12 weeks, not weekly.
- Pair it with strength numbers to confirm the trend.
- Expect gains to slow sharply after the first two years of training.
- Treat a sudden jump as a measurement change, not a muscle gain.
Frequently asked questions
What is a good FFMI?
For men, 20 to 22 is above average and 23 or more is excellent; for women, 17 to 19 is above average and 21 or more is excellent. Anything above 25 in men usually means the body fat input is too low.
What is the natural FFMI limit?
Around 25 for men and about 22 for women, based on small studies from the 1990s. It is a population observation rather than a hard biological rule, and individual ceilings vary widely.
How accurate is FFMI?
It depends entirely on the body fat input. With a DEXA scan it is reliable; with a tape method it carries 3 to 4 percentage points of error, which translates into roughly one FFMI point.
Why normalise FFMI to 1.8 metres?
Because taller people carry more lean mass at the same relative muscularity, so the raw ratio slightly penalises height. The +6.1 x (1.8 - height) adjustment puts different heights on a comparable scale.
Can I raise my FFMI without gaining weight?
Yes, by losing fat while holding lean mass - recomposition. FFMI rises because lean mass stays constant while body weight falls. It is slow but it is the most achievable route for most trained people.
Is FFMI used clinically?
Yes, in nutrition and critical care, where low fat-free mass predicts poorer outcomes. The thresholds used there differ from the bodybuilding ranges quoted above.
Sources
- Kouri EM et al., Fat-free mass index in users and non-users of anabolic-androgenic steroids
- Schutz Y, Kyle UU, Pichard C, Fat-free mass index and fat mass index percentiles
- Hodgdon JA, Beckett MB, Prediction of percent body fat for US Navy men and women
Formulas and thresholds are taken from the sources above. They are a starting point for adults, not a diagnosis.
Last reviewed September 12, 2026. How we calculate · Editorial policy