Physiques DatabasePhysiques DatabasePhysiques DatabasePhysiques DatabaseAmerican former professional basketball player born 1972 - Instagram Profile
So few defenders could handle Shaquille O'Neal one-on-one that opponents adopted a tactic named after him, Hack-a-Shaq: fouling him on purpose and betting on his free throws. He won four NBA championships, three straight with the Los Angeles Lakers from 2000 to 2002, taking Finals MVP each time, and a fourth with the Miami Heat in 2006, along with the 2000 league MVP. He entered the Hall of Fame in 2016 and has since become a fixture as an analyst on Inside the NBA.
At 216 cm and 147 kg he sits far outside the range of the general population, and is big even by the standards of NBA centres. Even at about 25% body fat, that frame holds roughly 110 kg of lean mass, the core of what made him almost impossible to move in the low post. Few players in league history have paired that much weight with the quickness he showed in his early years.
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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. | +0.1° | 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. | +1.5° | 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 | 12.7 cm | 12.3 cm | +3.0% | natural — balanced |
| Forearm Forearm flexors | 10.2 cm | 11.5 cm | -11.3% | natural — right side larger |
| Thigh Quadriceps | 21.2 cm | 23.5 cm | -10.1% | natural — 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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