When the Athlete Becomes the Data | Haniff Brown
from SportsEpreneur Hosted by SportsE Media
What changes when an athlete’s body becomes another source of data for teams? Haniff Brown, founder and CEO of FIT:MATCH, joins Eric Kasimov to examine the next layer of sports data: the athlete’s body itself. Late developers, recruiting and digital twins make the possibilities tangible. Brown explains how QuadraScan uses photos to generate body data and inform projections, while Eric presses on accuracy, athlete choice, privacy and what happens when a coach disagrees with a model. Episode notes and related conversations: https://sportsepreneur.com/athlete-body-data-haniff-brown/ (00:00) - Introduction (00:15) - AI body data enters athlete scouting (03:38) - Early physical advantage and late developers (08:48) - Recruitment spending and a scout’s judgment (10:21) - Prediction accuracy and growth-model limits (13:40) - Photo deletion, data use and athlete choice (17:30) - Digital twins and assessments at league scale (21:06) - When coaches disagree with the data (26:08) - From retail fit to sports technology (30:13) - Team success and the long-term business case (34:14) - Trying QuadraScan and building a data advantage Connect FIT:MATCH: https://www.fitmatch.ai/ Haniff Brown: https://www.linkedin.com/in/haniff-brown Eric Kasimov: https://www.linkedin.com/in/erickasimov/ SportsEpreneur: https://sportsepreneur.com/ SportsEpreneur is a SportsEMedia production, hosted by Eric Kasimov.
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Chapters
- 0:00 Introduction
- 0:15 AI body data enters athlete scouting
- 3:38 Early physical advantage and late developers
- 8:48 Recruitment spending and a scout’s judgment
- 10:21 Prediction accuracy and growth-model limits
- 13:40 Photo deletion, data use and athlete choice
- 17:30 Digital twins and assessments at league scale
- 21:06 When coaches disagree with the data
- 26:08 From retail fit to sports technology
- 30:13 Team success and the long-term business case
- 34:14 Trying QuadraScan and building a data advantage
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