Physiques Database
Physiques Database
Physiques DatabaseGerman bodybuilder - Instagram Profile
Markus Rühl, from the Darmstadt area of Hesse, was one of the most massive bodybuilders of the 2000s, a heavyweight known above all for the sheer width of his shoulders. He earned his IFBB pro card in 1997, won the Toronto Pro in 2000 and the Night of Champions in 2002, and placed fifth at the 2004 Mr. Olympia, the best finish of his career at the sport's top contest. After competing he ran gyms in Hesse and launched his own supplement brand.
This scan puts him at 130 kg for 174 cm with body fat of about 7%, close to the top of the 120 to 132 kg he was listed at in competition. Carrying that much weight on a frame of average height, with so little fat, means almost all of it is muscle: few heavyweights of any era have combined size and leanness on this scale.
Loading…
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. | +0.9° | 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. | +0.2° | 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. | -0.4° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 15.5 cm | 13.9 cm | +10.6% | natural — left side larger |
| Forearm Forearm flexors | 11.3 cm | 11.7 cm | -3.7% | natural — balanced |
| Thigh Quadriceps | 43.4 cm | 42.5 cm | +2.0% | natural — balanced |
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.
Processed in 27.0 seconds
