PUREMUSCLEGAINSHypertrophy & Macro Engine
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Scientific Hypertrophy Protocol • RPE 7–9 Target

Precision Macro Math Meets Muscle Hard Set Volume

Stop relying on generic TDEE calculators that ignore mechanical tension. Compute your exact caloric and protein targets coupled directly with muscle-specific weekly hard set volume benchmarks (RPE 7-9).

1.6 – 2.4gProtein / kg Mass Target
10 GroupsMuscle Specific Benchmarks
RPE 7–91–3 Reps In Reserve
0% FluffPeer-Reviewed Literature
Calculate Hypertrophy BlueprintExplore Volume Limits (MEV/MAV)
Precision Hypertrophy Math

Evidence-Based Macro & Volume Engine

Generic TDEE calculators ignore mechanical tension and hard set recovery thresholds. PureMuscleGains couples precise caloric/protein math directly with your optimal weekly RPE 7-9 hard set benchmarks.

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Unit System:
Presets:
26 yrs
175 lbs
5'10" (70 in)

Unlocks Katch-McArdle precision formula for Lean Body Mass

14%
Target Daily Intake

2,885 kcal/day

+250 kcal Surplus
Maintenance TDEE: 2,635 kcalBMR: 1,700 kcal

Daily Macronutrient Targets

1.0 g / lb bodyweight
Protein (4 kcal/g)175g (700 kcal)
Carbohydrates (4 kcal/g)360g (1,445 kcal)
Healthy Fats (9 kcal/g)82g (740 kcal)
Total Weekly Load168 Hard Sets
Intensity TargetRPE 7 – 9 (1-3 RIR)
Recommended Split Framework

Push / Pull / Legs (PPL x2) — 6 Days

2x/week per muscle group for maximum muscle protein synthesis cycles.

Muscle-Specific Benchmarks

Weekly Hard Set Blueprint (RPE 7 – 9)

Hard sets taken 1-3 Reps in Reserve (RIR) trigger maximum hypertrophy signaling. Below is your science-backed distribution from Minimum Effective Volume (MEV) to Maximum Adaptive Volume (MAV).

MV (Maint.)
MEV (Min. Eff.)
MAV (Target)
MTV (Max Tol.)
Contextual Performance Stack

Engine-Matched Supplements & Lifting Gear

Universal foundation staples paired with contextual performance gear dynamically generated from your specific protein target, weekly set volume, and training frequency.

Hypertrophy Foundation Staples (Essential Baseline Protocol)

Macro Precision

Etekcity High-Precision Digital Food Scale

High-accuracy digital food scale (1g increments) with tare function for exact macronutrient and caloric tracking.

Why Science Recommends This:

Caloric Control: Unmeasured portioning leads to an average 20–30% error in daily energy tracking. Exact gram tracking ensures adherence to calculated deficits or surpluses.

Check Price on Amazon →
ATP & Cellular Hydration

Jacked Factory Creatine Monohydrate Powder

100% pure unflavored micronized creatine monohydrate (5,000mg per scoop) formulated for zero fillers, maximum mixability, and rapid ATP saturation.

Why Science Recommends This:

Essential Hypertrophy Baseline: Saturates muscle phosphocreatine stores (5g/day), boosting training volume capacity by 8–15% across working sets.

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Muscle Protein Synthesis

Optimum Nutrition Gold Standard 100% Whey

Gold standard whey protein delivering 24g protein and 5.5g naturally occurring BCAAs per serving for post-workout recovery.

Why Science Recommends This:

Target Optimization: Rapidly triggers leucine-driven MPS post-training while efficiently fitting strict cutting or bulking macronutrient splits.

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Daily Utility & Hydration

VELOMIX 2-Pack Protein Shaker Bottles (24 oz)

Dual-pack leak-proof shaker cups with wire mixing whisks for lump-free protein, intra-workout, and creatine dissolution.

Why Science Recommends This:

Supplement Compliance: Eliminates clumping and residue waste, ensuring complete ingestion of calculated amino acid and micronutrient dosages.

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Contextual Performance Boosters (Triggered by Volume & Focus Sliders)

Peer-Reviewed Foundation

Scientific FAQ & Hypertrophy Methodology

PureMuscleGains is grounded strictly in peer-reviewed exercise physiology and sports nutrition research.

What defines a 'Hard Set' and why target RPE 7–9 (1–3 RIR)?
A hard set is a set taken within 1 to 3 Reps in Reserve (RIR) of concentric muscle failure (RPE 7-9). Peer-reviewed literature (Schoenfeld et al., 2021) demonstrates that high-threshold motor units responsible for fast-twitch muscle fiber hypertrophy are fully recruited in this proximity-to-failure window. Training below RPE 7 fails to generate sufficient mechanical tension, while taking every set to absolute failure (RPE 10) dramatically increases systemic fatigue without additional growth signaling.
How are Maintenance (MV), Minimum Effective (MEV), and Max Adaptive Volume (MAV) derived?
Our engine incorporates volume framework thresholds modeled after empirical exercise science data (Schoenfeld 2017, Israetel 2019). MV is the minimum sets required to maintain existing muscle mass (~4-8 sets/wk). MEV is the threshold where measurable hypertrophy begins (~8-12 sets/wk). MAV represents the optimal sweet spot for maximum adaptive rate (~12-22 sets/wk depending on experience), while MTV is the ceiling beyond which recovery capacity is compromised.
Why does the engine target 1.6 – 2.4 g/kg (0.8 – 1.1 g/lb) of protein daily?
A landmark systematic review and meta-analysis by Morton et al. (2018) involving 49 studies found that muscle protein synthesis (MPS) saturation plateaus around 1.62 g/kg/day, with upper confidence limits extending to 2.2 g/kg/day. During caloric deficits (cutting), elevated intakes up to 2.4 g/kg help mitigate gluconeogenic muscle breakdown.
Why is 2x/week training frequency per muscle group recommended over 1x/week?
Resistance training elevates muscle protein synthesis (MPS) for approximately 36 to 48 hours post-workout before returning to baseline (MacDougall et al.). Hitting a muscle group twice per week spikes MPS twice per 7-day period compared to once in traditional bro-splits, driving significantly superior net muscle tissue accretion over 12-52 week timelines.
What is the role of caloric surplus (Lean Mass Bulk) versus deficit?
Hypertrophy can occur at maintenance (recomp) in novice or higher bodyfat lifters, but a modest caloric surplus (+200 to +350 kcal/day) provides necessary cellular energy (ATP) and substrate environment for ribosomal biogenesis and satellite cell accretion with minimal adipose storage (Iraki et al., 2019).