Physiques DatabasePhysiques DatabasePhysiques DatabasePhysiques DatabaseAmerican tennis player (1981) - Instagram Profile
Serena Williams turned professional at 14 and was still winning majors at 35: across that span she collected 23 Grand Slam singles titles, the Open-era record in women's tennis. Twice she held all four major titles at once, the so-called Serena Slams of 2002-03 and 2014-15, and she won four Olympic gold medals, one in singles at London 2012 and three in doubles with her sister Venus. She retired after the 2022 US Open.
This scan puts her at 72 kg and 178 cm with about 28.5% body fat. That is higher than the figures often quoted for elite athletes, and a useful reminder that body fat says little on its own about what a body can do on court. Tennis rewards power driven through the legs and hips, rotational strength and the ability to keep hitting hard deep into long matches, the qualities her serve, the backbone of her game for two decades, was built on.
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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. | +1.2° | 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. | +0.8° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 9.1 cm | 8.8 cm | +3.1% | natural — balanced |
| Forearm Forearm flexors | 6.6 cm | 8.0 cm | -19.0% | notable — right side larger |
| Thigh Quadriceps | 34.0 cm | 33.7 cm | +1.0% | 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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