This event group covers the women's college basketball matchup between UC Davis Aggies and Pepperdine Waves scheduled for March 19, 2026 at 9:00 PM ET at Pepperdine's home venue. The markets track the binary outcome of the game: either UC Davis wins or Pepperdine wins, with provisions for postponement or cancellation.
Kalshi market has a logical contradiction: both UC Davis win and Pepperdine win are stated to resolve to Yes, which is impossible in a binary game outcome. Polymarket correctly resolves to team name. Additionally, Kalshi provides no guidance on postponement or cancellation, while Polymarket explicitly addresses these edge cases.
Hero Tip:
Do not trade on Kalshi until the market terms are corrected. The statement that both outcomes resolve to Yes indicates either a data entry error or a fundamentally broken market structure. Use Polymarket as the reference resolution framework: winner resolves to team name, postponement keeps market open, cancellation with no make-up resolves 50-50.
Critical Divergence Points:
Kalshi:
Both UC Davis win and Pepperdine win stated to resolve to Yes. No edge-case guidance provided. Key Quote: If UC Davis wins the market resolves to Yes. If Pepperdine wins the market resolves to Yes.
Polymarket:
Market resolves to winning team name (UC Davis Aggies or Pepperdine Waves). Postponement keeps market open; cancellation with no make-up resolves 50-50. Key Quote: If the UC Davis Aggies win, the market will resolve to UC Davis Aggies. If the Pepperdine Waves win, the market will resolve to Pepperdine Waves. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.