This event group covers the women's college basketball matchup between Baylor Bears and UCF Knights scheduled for February 15, 2026 at 2:00 PM ET. The markets resolve based on the final game outcome, with specific handling for postponements and cancellations.
Kalshi's resolution logic appears internally contradictory or mislabeled - both possible game outcomes (UCF win and Baylor win) resolve to Yes, which is logically impossible for a competitive game. This suggests either a data transcription error or Kalshi's market is asking a different question (e.g., will the game be played) than Polymarket's winner-selection format.
Hero Tip:
Do not trade these markets as if they are equivalent. Request clarification on the actual Kalshi question text from the platform. If Kalshi truly resolves Yes for any outcome, it is not a winner-pick market and cannot be used for directional hedging against Polymarket. Consider this a critical data integrity issue requiring platform verification before settlement.
Critical Divergence Points:
Kalshi: Binary Yes/No resolution where both UCF win and Baylor win trigger Yes. This creates a logical impossibility unless the market is asking whether the game will be completed/played rather than who wins. Key quote: 'If UCF wins...resolves to Yes. If Baylor wins...resolves to Yes.'
Polymarket: Categorical winner-pick market resolving to team name (Baylor Bears or UCF Knights). Includes explicit edge case handling: postponement keeps market open until completion; cancellation with no makeup resolves 50-50. Key quote: 'If the Baylor Bears win, the market will resolve to Baylor Bears. If the UCF Knights win, the market will resolve to UCF Knights.'
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.