Training principles
Daily Calorie and Protein Targets
all levels · fat loss, hypertrophy, general fitness, strength
Updated
How this document is used
This is one of the 44 documents the phase.fitness generator reads before writing a phase. It receives the principles below as context, and the numbers in it become the bands a generated program has to respect. The references at the end are stripped from the prompt — the model is not allowed to cite studies — and kept here, for you to check.
Training decides what the body is asked to do; energy and protein decide what it can build or keep. A program aimed at losing fat or gaining muscle works only as well as the intake behind it. This document sets out how daily calorie and protein targets are estimated from a profile and a goal, and how far to trust the estimate.
Resting energy expenditure
Resting energy expenditure is estimated with the Mifflin–St Jeor equation, which in a systematic comparison of predictive equations came within 10% of measured values in more people, lean and obese, than any other equation.
| Sex | Resting energy expenditure (kcal/day) |
|---|---|
| Men | 10 × weight (kg) + 6.25 × height (cm) − 5 × age (years) + 5 |
| Women | 10 × weight (kg) + 6.25 × height (cm) − 5 × age (years) − 161 |
When sex is not given, the constant is the midpoint of the two, −78.
Activity
Total energy expenditure is resting energy expenditure multiplied by a physical activity level. International energy requirement reports group lifestyles into three bands: sedentary or light activity 1.40–1.69, active or moderately active 1.70–1.99, vigorous 2.00–2.40.
| Training sessions per week | Activity level used |
|---|---|
| 0–2 | 1.55, light |
| 3–4 | 1.75, moderately active |
| 5 or more | 1.90, active |
Training sessions are strength and cardio days together. A vigorous level is not assigned from training alone: it describes hours of hard physical work every day, which a training schedule does not show.
Calories by goal
| Goal | Daily calories |
|---|---|
| Fat loss | 80% of maintenance |
| Muscle gain | 110% of maintenance |
| Strength, general fitness, endurance | maintenance |
Fat loss. Fat loss is driven by a sustained deficit, and slower rates of loss preserve more lean mass. In elite athletes, cutting intake by about a fifth produced a weekly loss near 0.7% of body weight and lean mass increased, while a deeper cut lost weight faster and gained no lean mass. For lean, trained people the recommended pace is roughly 0.5–1% of body weight per week.
Muscle gain. Gaining lean mass is driven by a sustained surplus. Recommendations for natural lifters are a surplus of about 10–20% with a weight gain near 0.25–0.5% of body weight per week; the low end limits fat gain.
Everything else. Strength, general fitness and endurance programs eat at maintenance.
Protein
| Goal | Daily protein |
|---|---|
| Fat loss, body fat known | 2.3 g per kg of fat-free mass |
| Fat loss, body fat unknown | 2.0 g per kg of body weight |
| Every other goal | 1.6 g per kg of body weight, up to 2.2 |
Across the research on protein and resistance training, gains in fat-free mass stopped increasing beyond about 1.6 g per kg per day. A daily intake of 1.4–2.0 g per kg is sufficient for most exercising people, and ranges up to 2.2 g per kg are recommended for lifters trying to gain muscle. In a deficit, lean, resistance-trained people may need 2.3–3.1 g per kg of fat-free mass to keep their muscle. Without a body-fat estimate, fat-free mass is unknown, so the target falls back to the top of the general range per kg of body weight.
A worked example
A 30-year-old man, 180 cm and 80 kg, training four days a week to build muscle:
- resting energy expenditure: 10 × 80 + 6.25 × 180 − 5 × 30 + 5 = 1,780 kcal;
- maintenance: 1,780 × 1.75 = 3,115 kcal, shown as 3,100;
- target: 3,115 × 1.10 = 3,427 kcal, shown as 3,450;
- protein: 1.6 × 80 = 128 g, shown as 130 g, up to 175 g.
The same man cutting fat eats 2,500 kcal (80% of maintenance, rounded) and, without a body-fat estimate, 160 g of protein.
How far to trust the numbers
These are starting points, rounded to the nearest 50 kcal and 5 g. An equation that is within 10% for most people is still 10% away for some. The real test is the scale: if weight does not move in the intended direction at the intended pace over two to three weeks, intake changes, not the goal.
- Very lean or very muscular people burn more at rest than a weight-based equation predicts, so their maintenance is usually higher than the estimate.
- People with obesity are estimated less accurately by every equation; a body-fat estimate makes the protein target more realistic because it is counted on fat-free mass.
- Hard physical jobs raise daily expenditure beyond what training days describe. The activity level here counts training only, so the estimate is low for them.
- Weekly averages matter more than single days. Training days and rest days can differ; what decides the direction of body weight is the average across the week.
References
- Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition. 1990;51(2):241-247. doi:10.1093/ajcn/51.2.241
- Frankenfield D, Roth-Yousey L, Compher C. Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults: a systematic review. Journal of the American Dietetic Association. 2005;105(5):775-789. doi:10.1016/j.jada.2005.02.005
- FAO/WHO/UNU. Human energy requirements: report of a joint FAO/WHO/UNU Expert Consultation. Food and Nutrition Technical Report Series 1. Rome: FAO; 2004.
- Garthe I, Raastad T, Refsnes PE, Koivisto A, Sundgot-Borgen J. Effect of two different weight-loss rates on body composition and strength and power-related performance in elite athletes. International Journal of Sport Nutrition and Exercise Metabolism. 2011;21(2):97-104. doi:10.1123/ijsnem.21.2.97
- Helms ER, Aragon AA, Fitschen PJ. Evidence-based recommendations for natural bodybuilding contest preparation: nutrition and supplementation. Journal of the International Society of Sports Nutrition. 2014;11:20. doi:10.1186/1550-2783-11-20
- Aragon AA, Schoenfeld BJ, Wildman R, et al. International society of sports nutrition position stand: diets and body composition. Journal of the International Society of Sports Nutrition. 2017;14:16. doi:10.1186/s12970-017-0174-y
- Iraki J, Fitschen P, Espinar S, Helms E. Nutrition Recommendations for Bodybuilders in the Off-Season: A Narrative Review. Sports. 2019;7(7):154. doi:10.3390/sports7070154
- Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. British Journal of Sports Medicine. 2018;52(6):376-384. doi:10.1136/bjsports-2017-097608
- Jäger R, Kerksick CM, Campbell BI, et al. International Society of Sports Nutrition Position Stand: protein and exercise. Journal of the International Society of Sports Nutrition. 2017;14:20. doi:10.1186/s12970-017-0177-8
Source note: literature_review_2026_09
