Live
1.00
Verified Asset
High Efficiency

Razer kraken 7.1 v2.

Metabolic profile analysis. Technical breakdown of Razer kraken 7.1 v2 and its impact on skeletal muscle retention and daily energy expenditure.

Total Energy32kcal
Bio-Protein9g
Carbohydrates65g
Total Lipids6g

Nutritional Efficiency Report

Razer kraken 7.1 v2 is a very low-calorie food with low-protein content. At 32 kcal per 100g, it delivers 9g of protein — representing 113% of its total caloric load. Carbohydrates account for 813% and fats for 169% of calories.

"Efficiency Score 1.00 — this asset ranks in the top tier of the DataFood database for protein delivery per calorie. Optimal for fat loss, lean bulking, and body recomposition phases."

At 65g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 32 kcal per 100g, Razer kraken 7.1 v2 is a high-volume food — you can consume a large serving while keeping total caloric intake controlled. This makes it particularly effective for hunger management in deficit phases.

Protocol Compatibility

Ketosis Impact

At 65g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

With 9g protein per 100g, the thermic contribution is moderate. Pairing with higher-protein sources increases the overall TEF of your meal and supports lean mass retention.

Expand Your Protocol.

Based on the metabolic profile of Razer kraken 7.1 v2, these related data nodes are most relevant to your nutrition architecture:

Integrate Asset.

Use the clinical weekly planner to distribute Razer kraken 7.1 v2 across your metabolic windows.

Generate Weekly Protocol

Input physical metrics to generate a synchronized 7-day protocol.

1. Biological Metrics

2. Dietary Logic

Institutional Disclaimer: The nutritional data provided for Razer kraken 7.1 v2 is derived from clinical databases and algorithmic estimation. This report is for metabolic infrastructure planning only and does not constitute medical advice. Consult a clinical nutritionist before implementing aggressive deficit protocols.