Physiques DatabasePhysiques DatabasePhysiques DatabasePhysiques DatabaseBritish heptathlete - Instagram Profile
In Doha in 2019, Katarina Johnson-Thompson scored 6,981 points to become world heptathlon champion and break Jessica Ennis-Hill's British record. The Liverpudlian won the world title again in Budapest in 2023, and in Paris in 2024, at her fourth Olympic Games, she finally added the Olympic medal that had eluded her: silver, behind Belgium's Nafissatou Thiam. Her record also includes Commonwealth gold and a world indoor pentathlon title, both won in 2018.
At 183 cm she is tall even among heptathletes, and the height pays off in the high jump, one of her strongest events. 70 kg is a light load for that frame, an advantage in the jumps and the 800 metres; the trade-off tends to show in the throws, where heavier rivals have the edge. The scan's reading of about 25% body fat captures a single moment, not her championship condition.
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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. | -0.6° | 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. | +0.8° | 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. | -0.5° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 8.9 cm | 8.5 cm | +4.4% | natural — balanced |
| Forearm Forearm flexors | 6.5 cm | 7.3 cm | -12.2% | natural — right side larger |
| Thigh Quadriceps | 15.9 cm | 15.6 cm | +1.9% | 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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