Physiques DatabasePhysiques DatabasePhysiques DatabasePhysiques DatabaseAmerican model - Instagram Profile
Bella Hadid's first ambition was the Olympics, not the catwalk: a rider since early childhood, she said in 2015 that she hoped to compete in equestrian events at the Rio 2016 Games. Fashion took over instead. In 2016 the industry vote at Models.com named her Model of the Year, the same year she became a face of Dior Beauty and walked her first Victoria's Secret Fashion Show. In 2024 she launched her own fragrance brand, Orebella.
At 175 cm and 55 kg she has the long, light frame that runway casting has favoured for decades, and her body fat, about 24%, sits in the typical range for women. The contrast with her first sport is the interesting part: top-level riding rewards balance and core strength rather than size, and a light frame is no handicap in the saddle.
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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. | +0.2° | 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. | +1.3° | 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. | -0.6° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 7.8 cm | 7.3 cm | +7.1% | natural — left side larger |
| Forearm Forearm flexors | 5.8 cm | 6.4 cm | -8.8% | natural — right side larger |
| Thigh Quadriceps | 12.2 cm | 14.2 cm | -15.0% | notable — right side larger |
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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