Physiques DatabasePhysiques DatabasePhysiques DatabasePhysiques DatabaseAmerican actress and producer (born 1990) - Instagram Profile
Jennifer Lawrence earned her first Oscar nomination at 20, as a teenager holding her family together in the Ozarks in Winter's Bone, and won Best Actress two years later for Silver Linings Playbook. In between she took on two franchise heroines at once: Katniss Everdeen, the archer of The Hunger Games, and the shape-shifting Mystique in X-Men: First Class and its sequels. Her later work runs from Joy to the satire Don't Look Up.
At 175 cm she is tall for a leading actress, and 62 kg sits at the light end for that height. The scan puts her at about 26% body fat, a typical figure for an adult woman rather than the stage-lean number of a fitness model. For Katniss, a role built on archery, running and climbing rather than visible muscle, a long, light frame fits the part.
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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. | +0.3° | 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. | +0.6° | 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. | -1.6° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 7.4 cm | 7.5 cm | -1.2% | natural — balanced |
| Forearm Forearm flexors | 6.3 cm | 6.8 cm | -8.0% | natural — right side larger |
| Thigh Quadriceps | 15.0 cm | 15.5 cm | -2.8% | 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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