Why a range, and why no target
Searching the literature for validation of the lean-mass-divided-by-target-body-fat formula returns nothing — it is a practical heuristic from coaching culture, not a research finding. Publishing a single number from an unvalidated formula would be false precision.
The evidence that does exist is thinner than the internet suggests: body-fat percentage correlates with half-marathon times in recreational runners, but correlation in a cross-sectional sample does not license a prescription of the form "lose X kg, gain Y seconds".
The energy floor, and how to use it
Energy availability is intake minus the energy cost of training, divided by fat-free mass. Below 30 kcal per kg of fat-free mass per day is where most measured effects appear. The table above turns that into a number you can act on: the daily intake at which you would cross that line at each weight.
Three practical uses:
- Sanity-check a diet plan before starting it — if the plan's calorie target sits below your floor, the plan is the problem.
- Recalculate when training volume rises: the floor moves with mileage, not just with weight.
- Treat the floor as a boundary, not a goal — it is the level below which harm appears, not a recommended intake.
When the answer is "don't"
For a large share of runners the correct answer to "what should I weigh" is that weight is not the constraint. In a meta-analysis of 6,118 athletes, 44.7% were already in low energy availability, and it was more common in men (49.4%) than women (44.2%).
The associated effects are the opposite of what cutting weight is supposed to buy: decreased run performance, endurance, coordination, concentration, judgment and explosive power, alongside impaired bone health and higher bone-stress-injury risk. In male endurance athletes it also tracks with lower testosterone, lower bone density and a reduced resting metabolic rate.
The body-fat input is the weakest link
Everything here scales off fat-free mass, so the body-fat input matters more than the formula. Bioimpedance scales — the source of most home readings — carry meaningful individual variability on single and repeated measurements, which is why the output is a band rather than a point.
Screening, and when to involve a clinician
Two validated-in-progress questionnaires exist, and they are sex-specific. LEAF-Q is the established screening route for female athletes. For men, LEAM-Q was developed more recently — in its validation cohort, low sex drive was the single most effective self-reported symptom for identifying men needing further clinical assessment.
Screening questionnaires flag risk; they do not diagnose. Missed periods, repeated bone-stress injuries, persistent fatigue or frequent illness are reasons to involve a sports physician or dietitian rather than to adjust a calculator input.