MUSCLEDATA
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About MuscleData

MuscleData is an independent site dedicated to strength training and sports nutrition. No hidden sponsors, no disguised paid content — only data, validated formulas, and rigorously written content.

15
Expert articles
4
Interactive tools
2
Languages available
100%
Client-side calculations

Our mission

Provide the tools and knowledge every practitioner needs — beginner or advanced — to make informed decisions about their training and nutrition. No bullshit, no miracle products, no commercial pressure.

Our values

Science-backed

Every calculator uses scientifically validated formulas (revised Harris-Benedict, Mifflin-St Jeor, Lorentz, Devine…). Every article cites its sources and distinguishes what studies prove from what is still debated.

No bullshit

No unrealistic promises, no miracle supplements, no extreme diets. MuscleData covers the fundamentals that work: progressive training, adequate protein intake, recovery, and consistency.

Practical first

Scientific data only has value if it's actionable. Every tool generates concrete recommendations and every article ends with clear action points.

The tools

All calculations run directly in your browser. No personal data is transmitted or stored.

Macro Calculator

Protein, carbs and fat targets based on your profile and goal.

TDEE Calculator

Total daily energy expenditure using multiple validated methods.

BMI & Ideal Weight

Athlete-adapted BMI with 3 ideal weight formulas.

Workout Generator

Structured weekly program tailored to your level, goals and equipment.

The content

Blog articles cover 5 complementary areas, each with comprehensive guides based on current data.

Nutrition

Caloric intake, macronutrients, meal timing.

Training

Technique, frequency, volume and progression.

Supplements

Evidence analysis on whey, creatine, omega-3...

Programs

PPL, full body, push/pull — structured and progressive.

Beginners

The basics without jargon to get started right.

Editorial methodology

Every article published on MuscleData follows a rigorous process:

  1. Identification of the most common questions and misconceptions to address
  2. Research of meta-analyses and studies published in peer-reviewed journals
  3. Writing with a clear distinction between what is proven and what is probable
  4. Regular updates when new data becomes available

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