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Jude Law was nominated for two Oscars before he turned 32: as the golden, doomed Dickie Greenleaf in The Talented Mr. Ripley and as a Confederate deserter walking home in Cold Mountain. He went on to play Dr Watson opposite Robert Downey Jr. in Guy Ritchie's Sherlock Holmes films, a young Albus Dumbledore in the Fantastic Beasts series and an unsettling American pontiff in The Young Pope.
At the time of this scan, he measures about 75 kg at 178 cm, with around 20% body fat. That is a slim frame by the standards of modern franchise leads, and a body-fat level in the usual range for a man. It suits the parts he is best known for, detectives, popes and wizards, which ask for presence more than 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. | +0.9° | 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. | 0.0° | 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. | -2.6° | 0° = level (frontal) | natural — left hip low |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 9.3 cm | 9.1 cm | +1.6% | natural — balanced |
| Forearm Forearm flexors | 6.6 cm | 8.1 cm | -20.4% | significant — right side largerlow confidenceA single front-facing photo can't tell a genuinely larger limb from one simply rotated toward the camera, and small limbs like the forearm swing a lot — so a large difference here is more likely a measurement artifact than a real asymmetry. A full-body scan (front + back) averages this out and is far more reliable. |
| Thigh Quadriceps | 16.2 cm | 16.0 cm | +0.9% | 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.
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