Physiques Database
Physiques Database
Physiques DatabaseEgyptian bodybuilder - Instagram Profile
Before bodybuilding, Mamdouh Elssbiay, the man the sport knows as Big Ramy, worked as a fisherman in Egypt. He moved to Kuwait, began training there in 2009 at around 24, and within three years had won the 2012 Amateur Olympia; on his professional debut in 2013 he won the New York Pro outright. After years of near misses, including second place in 2017, he won the Mr. Olympia, bodybuilding's top title, in 2020 and again in 2021.
The scan explains the nickname. At 175 cm, 140 kg is extraordinary, and at about 9.5% body fat the vast majority of it is lean tissue, more than even most heavyweight strength athletes ever carry. Mass has always been his calling card: for years, the question on the Olympia stage was whether anyone could match his size.
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A visual estimation of the areas of your body with a higher likelihood of containing more fat than others -- not a measurement. This feature is experimental; treat the heatmap as an indication, not a clinical finding. Accuracy is best at the extremes of body-fat percentage, weaker in the middle, and atypical body shapes (athletic builds, pregnancy, etc.) may not be modelled well.
| Metric | Value vs reference | Reference | Reading |
|---|---|---|---|
| Lateral lean?Accurate to about ±2-3° in a single scan -- camera tilt is the main confounder. Trending against your own history (same setup) is more reliable than the absolute number. For best accuracy, make sure the camera was level while scanning. | +0.4° | 0° = vertical (frontal knees-to-head axis) | natural — upright |
| Head forward offset?Accurate to about ±1-2 cm in a single scan -- camera tilt and head rotation (looking up / down / sideways) are the main confounders. Trending against your own history (same setup) is more reliable than the absolute number. For best accuracy, look straight ahead and keep the camera level while scanning. | Upload a side picture to get this metric | 0 = ear in line with the spine axis (no forward head) | — |
| Forward/back lean?Accurate to about ±2-3° in a single scan -- camera tilt is the main confounder. Trending against your own history (same setup) is more reliable than the absolute number. For best accuracy, make sure the camera was level while scanning. | Upload a side picture to get this metric | 0° = vertical (side knees-to-head axis) | — |
| Shoulder tilt?Accurate to about ±2-3° in a single scan -- camera tilt is the main confounder. Trending against your own history (same setup) is more reliable than the absolute number. For best accuracy, make sure the camera was level while scanning. | +1.0° | 0° = level (frontal) | natural — balanced |
| Hip tilt?Accurate to about ±2-3° in a single scan -- camera tilt is the main confounder. Trending against your own history (same setup) is more reliable than the absolute number. For best accuracy, make sure the camera was level while scanning. | 0.0° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 12.9 cm | 12.9 cm | 0.0% | natural — balanced |
| Forearm Forearm flexors | 10.2 cm | 10.8 cm | -6.1% | natural — right side larger |
| Thigh Quadriceps | 17.4 cm | 20.4 cm | -16.0% | notable — right side larger |
BodyWHAT uses its own proprietary, neural-network-based technology to estimate your body-fat percentage and other body-composition metrics directly from your photos. These in-house models are combined with established anthropometric methods; the published methods and reference ranges below inform and calibrate those estimates.
BodyWHAT's figures are estimates for general fitness and education — not medical advice or a diagnosis. They draw on established methods and published reference ranges:
Always consult a qualified healthcare professional before making decisions about your health.
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