Hi UMA team,
Sports assertion markets have a resolution problem. Standard box scores don't capture WHY a team dominated or collapsed.
I built a structural model that detects when a team is "broken" even at 0-0. This data could:
- Resolve disputes with more context than final scores
- Flag suspicious assertions before they settle
- Enable more granular prop markets (dominance, structural collapse)
~77% accuracy on high-conviction match predictions. Happy to share sample data.
Worth exploring as a verified data provider?
Rodney
hello@rsrodai.org