Physiques DatabasePhysiques DatabasePhysiques DatabasePhysiques DatabaseBruneian-Australian YouTuber and fitness personality - Instagram Profile
Before she became one of YouTube's biggest fitness names, Chloe Ting worked as an actuarial analyst. Born in Brunei, she moved to Melbourne at 17, and her follow-along home workouts became one of the internet stories of the 2020 lockdowns, when her free Two Week Shred challenge spread around the world as gyms closed. Her channel has since grown to around 26 million subscribers, among the largest fitness audiences on the platform.
The scan shows a small frame: 48 kg at 155 cm. At around 28% body fat she sits at a level typical of active women rather than the very low figures of physique competitors, which suits her pitch. Her programmes are built for people exercising at home without equipment, and this is the build of someone who trains regularly, not someone peaking for a stage.
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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. | -2.3° | 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. | -3.8° | 0° = level (frontal) | natural — left shoulder low |
| 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. | -3.8° | 0° = level (frontal) | natural — left hip low |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 7.4 cm | 6.6 cm | +10.7% | natural — left side larger |
| Forearm Forearm flexors | 6.5 cm | 7.0 cm | -7.3% | natural — right side larger |
| Thigh Quadriceps | 14.4 cm | 14.9 cm | -3.4% | 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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