Physiques Database
Physiques Database
Physiques DatabaseEnglish actor (born 1983) - Instagram Profile
Henry Cavill came close to playing James Bond before he ever played Superman: the Jersey-born actor was in the running for Casino Royale (2006) before the part went to Daniel Craig. He went on to wear the cape in Man of Steel (2013) and its sequels, play Geralt of Rivia in Netflix's The Witcher, and face Tom Cruise as the agent August Walker in Mission: Impossible – Fallout (2018). Off screen he is a well-known PC gamer and Warhammer enthusiast.
At 185 cm and 92 kg he carries more muscle than the classic leading-man build, closer to an athlete in a power sport than to a typical actor. About 17% body fat puts this scan in a solid, everyday range rather than the stripped-back leanness of a shirtless close-up: plenty of size, with room to lean out when a role demands it.
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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. | -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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