Physiques DatabasePhysiques DatabasePhysiques DatabasePhysiques DatabaseAustralian actress (born 1990) - Instagram Profile
Margot Robbie spent nearly three years on the Australian soap Neighbours before trying her luck in the US, and her turn opposite Leonardo DiCaprio in The Wolf of Wall Street (2013) made her a star. She was nominated for Oscars for playing figure skater Tonya Harding in I, Tonya, which she also produced, and for Bombshell; she played Harley Quinn in three films, then starred in and produced Barbie, the highest-grossing film of 2023.
This scan shows 53.7 kg at about 168 cm, with body fat of around 26%. That is a slim, light frame with an ordinary rather than athletic body-fat reading, typical of women outside professional sport. For roles such as Harding she trained on the ice for months, yet her numbers sit closer to the general population than to the athletes she has played.
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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. | -2.4° | 0° = vertical (frontal knees-to-head axis) | notable — leaning left |
| 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. | +0.3° | 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. | -1.2° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 7.2 cm | 7.9 cm | -9.1% | natural — right side larger |
| Forearm Forearm flexors | 7.4 cm | 6.4 cm | +13.9% | notable — left side larger |
| Thigh Quadriceps | 14.5 cm | 14.7 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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