ProfileProfileProfileProfileEnglish actor (born 1983)
Henry Cavill is an English actor widely recognized for his portrayal of Superman in the DC Extended Universe and as the titular detective in The Witcher. His career is defined by a blend of blockbuster superhero roles and leading man versatility, establishing him as a familiar face in major film franchises. Audiences associate him with a commanding screen presence and a distinctive, rugged aesthetic that has become central to his public identity.
The scan reflects a robust, athletic build consistent with his on-screen persona. At 185 cm and 92 kg, his physique suggests significant muscle mass distributed across the shoulders and chest, characteristic of a "Viking" body type. This substantial, powerful frame aligns with the physical demands of action-heavy roles, providing the visual weight and strength often required for heroic characters. The build is functional and substantial, emphasizing a solid, muscular foundation rather than a lean or cut aesthetic.
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. | -1.7° | 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. | -0.5° | 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 | 10.2 cm | 10.0 cm | +1.6% | natural — balanced |
| Forearm Forearm flexors | 6.0 cm | 7.2 cm | -18.2% | notable — right side larger |
| Thigh Quadriceps | 15.9 cm | 16.2 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.
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