Physiques DatabasePhysiques DatabasePhysiques DatabasePhysiques DatabaseLebanese bodybuilder - Wikipedia Page
Samir Bannout was the first Middle Eastern bodybuilder to win the Mr. Olympia. Nicknamed the Lion of Lebanon, he took the 1983 title in Munich, beating Mohamed Makkawy and a young Lee Haney, who would go on to win the next eight. Bannout had come up through the amateur ranks, winning his class at the 1979 IFBB World Amateur Championships to earn his professional status, and placed fourth at the 1982 Olympia before returning a year later to win it. He later worked as a coach.
At 170 cm and 93 kg with about 8% body fat, this scan shows roughly 85 kg of lean mass: heavy for the early 1980s, but modest next to the 110 kg-plus champions who followed in the 1990s and 2000s. It is the scale of the era between Arnold Schwarzenegger and the mass monsters, a lot of muscle on a compact frame.
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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. | +0.1° | 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. | 0.0° | 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. | +0.9° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 11.9 cm | 11.6 cm | +1.9% | natural — balanced |
| Forearm Forearm flexors | 8.6 cm | 8.3 cm | +3.6% | natural — balanced |
| Thigh Quadriceps | 18.9 cm | 17.3 cm | +9.1% | natural — left 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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