Physiques Database
Physiques Database
Physiques DatabaseAmerican mixed martial artist - Instagram Profile
Miesha Tate won the UFC title from behind. At UFC 196 in March 2016 she was trailing Holly Holm on the scorecards going into the fifth and final round, then took her back and choked her unconscious to become women's bantamweight champion. It capped a career built on wrestling, which she took up on her high school team, and on submissions: she had already won the Strikeforce title in 2011 with a fourth-round arm-triangle choke on Marloes Coenen. Her rivalry with Ronda Rousey, two title fights plus opposing coaching spots on The Ultimate Fighter, helped turn women's MMA into a headline act.
The bantamweight limit is 61 kg (135 lb), and this scan puts her right on it at 169 cm. At about 27% body fat, though, this is not fight-week condition, when fighters come in much leaner; it reads as a between-camps snapshot of a frame sized exactly for the division.
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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. | -0.4° | 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. | -0.3° | 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. | -1.3° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 8.1 cm | 7.6 cm | +7.3% | natural — left side larger |
| Forearm Forearm flexors | 7.0 cm | 7.3 cm | -5.0% | natural — right side larger |
| Thigh Quadriceps | 15.3 cm | 15.7 cm | -2.8% | 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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