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