DATA AND AI METHODOLOGY
HOW THE ATHLETE MEASUREMENTS ARE BUILT
Every profile separates published facts from estimates. The estimates make a consistent nine-measurement comparison possible; they are not presented as documented facts.
151
PUBLISHED VALUES
488
CLEARLY LABELED ESTIMATES
17/71
REAL SPORT IN AI TOP 3
1. PUBLISHED MEASUREMENTS
Height, weight, and the occasional sport-specific measurement come from league, team, federation, Olympic, or similarly direct athlete profiles. Every published value links to its source on the athlete page. Values can change over a career, especially weight, so the source is part of the claim.
2. ESTIMATED DIMENSIONS
Wingspan, leg length, torso length, shoulder width, hip width, hand length, and foot length are rarely published outside sports such as basketball and combat sports. When no reliable value exists, the page uses a height-relative anthropometric estimate. Width estimates also account for BMI. Each estimated table cell is marked “Est.” and its exact formula appears immediately below the table.
3. BLIND AI TEST
The model receives gender and nine anonymous measurements—no athlete name, photograph, nationality, biography, or known sport. It returns five sports and a biomechanical explanation. Only afterward does the build process compare those recommendations with the athlete’s real sport. Misses remain visible because body shape is only one ingredient in athletic success.
4. WHAT THE RESULTS CANNOT SAY
These pages do not measure skill, coordination, reaction time, aerobic capacity, muscle-fiber distribution, training history, psychology, coaching, or access. A body can make some mechanics easier; it cannot determine a career. Match percentages are descriptive comparisons across the same nine inputs, not probabilities of becoming an elite athlete.
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