Physiques DatabasePhysiques DatabasePhysiques DatabasePhysiques DatabaseChinese mixed martial arts (MMA) fighter - Instagram Profile
Zhang Weili needed 42 seconds to make history: in August 2019, in Shenzhen, she stopped Jéssica Andrade to become the first Chinese champion in UFC history. Raised on Shaolin kung fu and sanda in Hebei province, she defended the strawweight title against Joanna Jędrzejczyk in 2020 in a fight widely rated among the greatest in women's MMA, lost the belt to Rose Namajunas in 2021 and won it back from Carla Esparza in 2022. After three more defenses she vacated the title in 2025 to challenge Valentina Shevchenko at flyweight, losing on points.
At 163 cm, this scan has her at 57 kg, almost exactly the 57 kg flyweight limit she moved up to, and about 5 kg above the 52 kg strawweight line where she made her name. About 27.5% body fat marks it clearly as a between-camps reading rather than a fight-week one.
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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. | +1.7° | 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. | -0.8° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 7.1 cm | 7.0 cm | +2.4% | natural — balanced |
| Forearm Forearm flexors | 5.6 cm | 5.9 cm | -5.9% | natural — right side larger |
| Thigh Quadriceps | 13.1 cm | 13.6 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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