This event group covers the women's college basketball game between the Oklahoma Sooners and Alabama Crimson Tide scheduled for February 15, 2026 at 4:00 PM ET in Alabama. The markets resolve based on which team wins the game, with provisions for postponement and cancellation scenarios.
Kalshi's resolution logic contains a logical contradiction where both possible outcomes (Alabama win and Oklahoma win) resolve to Yes, making the market fundamentally unresolvable. Polymarket uses standard categorical resolution. This is a data integrity failure on the Kalshi side.
Hero Tip:
Do not trade the Kalshi market in its current form. The logic is broken: if both teams winning results in Yes, there is no path to a No resolution, and the market cannot function. Contact Kalshi support to clarify whether this is a drafting error. Polymarket's market is resolvable and uses industry-standard categorical logic.
Critical Divergence Points:
Kalshi: Both Alabama win and Oklahoma win resolve to Yes. This creates a logical impossibility where no outcome can resolve to No. Key Quote: 'If Alabama wins... then the market resolves to Yes. If Oklahoma wins... then the market resolves to Yes.'
Polymarket: Resolves to categorical winner name: Oklahoma Sooners or Alabama Crimson Tide. Includes postponement (market stays open) and cancellation (50-50 split) provisions. Key Quote: 'If the Oklahoma Sooners win, the market will resolve to Oklahoma Sooners. If the Alabama Crimson Tide win, the market will resolve to Alabama Crimson Tide.'
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.