This event group covers a women's college basketball game between the Arkansas Razorbacks and Oklahoma Sooners scheduled for February 26, 2026 at 7:00 PM ET. Markets on Polymarket and Kalshi are betting on the outcome of this single game, with resolution based on the final score including overtime.
Kalshi's resolution logic contains a logical contradiction where both mutually exclusive outcomes (Arkansas win and Oklahoma win) are stated to resolve to Yes, making the market fundamentally unresolvable as written. Polymarket uses a standard binary outcome structure.
Hero Tip:
Do not trade Kalshi until the platform clarifies whether the second outcome should resolve to No. Polymarket's market is resolvable and follows standard WBB settlement practices. Contact Kalshi support to confirm the intended resolution logic before committing capital.
Critical Divergence Points:
Polymarket: Binary winner-take-all structure. Resolves to Arkansas Razorbacks if Arkansas wins; resolves to Oklahoma Sooners if Oklahoma wins. Handles postponement by keeping market open; handles cancellation with no makeup by resolving 50-50. Key Quote: 'If the Arkansas Razorbacks win, the market will resolve to Arkansas Razorbacks. If the Oklahoma Sooners win, the market will resolve to Oklahoma Sooners.'
Kalshi: Contains logical error: states both Arkansas win and Oklahoma win resolve to Yes. This is a mutual exclusivity violation. Key Quote: 'If Arkansas wins... then the market resolves to Yes. If Oklahoma wins... then the market resolves to Yes.' Both outcomes cannot both be Yes in a binary market.
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.
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