Physiques Database
Physiques Database
Physiques DatabaseIcelandic weightlifter - Instagram Profile
Sara Sigmundsdóttir arrived at the 2015 CrossFit Games as a rookie and left with a bronze medal, then did it again a year later, becoming one of the faces of Iceland's remarkable run in the sport alongside Annie Thorisdottir and Katrín Davíðsdóttir. Her roots are in the barbell: she also lifted at the 2015 World Weightlifting Championships, and in 2017 she finished first worldwide in the CrossFit Open, the qualifier entered by hundreds of thousands of athletes.
Her 69 kg on a 171 cm frame fits a sport that asks for everything at once: heavy snatches and clean and jerks one hour, running, rowing and gymnastics the next. That is more weight than an endurance specialist of her height would carry, and it reflects the muscle that Olympic lifting rewards. At about 20% body fat she is lean by everyday standards without being stage-lean.
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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. | +2.7° | 0° = vertical (frontal knees-to-head axis) | notable — leaning right |
| 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. | +0.6° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 9.6 cm | 8.1 cm | +17.0% | notable — left side larger |
| Forearm Forearm flexors | 8.0 cm | 7.7 cm | +3.6% | natural — balanced |
| Thigh Quadriceps | 16.5 cm | 14.9 cm | +10.2% | natural — left 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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