ScienceNutrition

Protein targets that match the evidence

Where Flexbound's per-pound protein targets come from, by goal, and why more isn't automatically better.

Reviewed July 10, 2026 · 3 cited sources


The evidence in one sentence

For lifters, the research converges on roughly1.6–2.2 g of protein per kg of body weight per day(about 0.7–1.0 g/lb), with the higher end earning its keep during fat loss, when protein defends lean mass against the deficit. Morton's meta-analysis found gains plateauing around the middle of that range for most; the ISSN position stand and contest-prep guidance support pushing higher when dieting.

The app's actual defaults

Flexbound sets protein per pound of body weight, by goal. These are the shipped calculator values. They are versioned and overridable by methodology parameters without an app update:

Protein target parameters by training goal
GoalProtein targetWhy
Fat loss / recomposition1.0 g/lbMaximum lean-mass defense in a deficit
Lean bulk / bodybuilding0.9 g/lbFull anabolic support with calories already high
Strength / maintenance0.8 g/lbComfortably covers the evidence range

Fat gets a floor of 0.3 g/lb for hormonal and dietary-adherence reasons, and carbohydrates fill the remaining calories. fuel for training is not an afterthought.

Why not more?

Because past the evidence range, extra protein mostly displaces carbohydrate and food you'd enjoy, without measurable additional muscle. The meta-regression is clear about diminishing returns. If you prefer eating higher protein, nothing breaks. The app won't pretend the extra grams are doing anabolic work the literature can't find.

Limits, stated plainly

Per-pound targets assume body weight is a reasonable anchor; at very high body-fat levels, anchoring to a lean-mass proxy would be more precise. That a refinement on our methodology roadmap. Distribution across meals matters less than daily totals for most lifters, which is why the app coaches the day, not the meal timer. And protein needs for endurance-heavy hybrid training run on separate rules.

References

  1. A systematic review, meta-analysis and meta-regression of protein supplementation and resistance trainingMorton RW et al. · British Journal of Sports Medicine, 2018
  2. International Society of Sports Nutrition position stand: protein and exerciseJäger R et al. · Journal of the International Society of Sports Nutrition, 2017
  3. Evidence-based recommendations for natural bodybuilding contest preparationHelms ER, Aragon AA, Fitschen PJ · Journal of the International Society of Sports Nutrition, 2014

Flexbound provides fitness tracking and nutrition estimates, not medical advice. These pages document the app's methodology; consult a qualified professional for medical or dietary concerns.

Coming to iOS

This math ships in the app.

Every rule on this page runs deterministically in Flexbound. It is versioned, cited, and auditable. Coming to iOS.