Physiques DatabasePhysiques DatabasePhysiques DatabasePhysiques DatabaseBritish boxer (born 1989) - Instagram Profile
Anthony Joshua only took up boxing at 18, and within a few years he had won super-heavyweight gold at the London 2012 Olympics in front of a home crowd. As a professional he became a two-time unified world heavyweight champion. His stoppage of Wladimir Klitschko before some 90,000 people at Wembley in 2017 was one of the great nights of British boxing, and his shock defeat by Andy Ruiz Jr. in New York in 2019, followed by victory in the rematch six months later, made him one of the most watched fighters of his generation.
At 198 cm and 106 kg he is tall even by heavyweight standards, and at about 12% body fat that weight is mostly muscle. It also sits at the light end of the range he has fought at: for the Ruiz rematch he came in deliberately slimmer, at around 108 kg, to move better.
Loading…
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. | +0.4° | 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. | 0.0° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 11.0 cm | 10.6 cm | +4.3% | natural — balanced |
| Forearm Forearm flexors | 8.1 cm | 9.6 cm | -17.6% | notable — right side larger |
| Thigh Quadriceps | 17.1 cm | 17.8 cm | -4.2% | 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.
Processed in 29.2 seconds
