This event group covers the outcome of a women's college basketball game between the Pittsburgh Panthers and North Carolina Tar Heels scheduled for February 22, 2026 at 12:00 PM ET. Markets across Polymarket and Kalshi are tracking which team wins the matchup, with specific handling rules for postponements, cancellations, and overtime.
Kalshi's resolution logic contains a logical contradiction: it states the market resolves to Yes if either team wins, which is impossible since exactly one team will win. This makes the market fundamentally unresolvable as written.
Hero Tip:
Contact Kalshi support immediately to clarify whether this is a Yes/No market (Yes = game played, No = canceled) or whether the resolution rules were incorrectly documented. Do not place trades on Kalshi until the contradiction is resolved. Polymarket's binary structure is clear and resolvable.
Critical Divergence Points:
Polymarket:
Binary outcome market with clear resolution: resolves to 'Pittsburgh Panthers' if Pittsburgh wins, or 'North Carolina Tar Heels' if North Carolina wins. Postponements keep market open; cancellations without makeup resolve 50-50. Key quote: 'If the Pittsburgh Panthers win, the market will resolve to Pittsburgh Panthers. If the North Carolina Tar Heels win, the market will resolve to North Carolina Tar Heels.'
Kalshi:
Resolution logic states market resolves to Yes if North Carolina wins AND also resolves to Yes if Pittsburgh wins—a logical impossibility. Key quote: 'If North Carolina wins...then the market resolves to Yes. If Pittsburgh wins...then the market resolves to Yes.' No handling specified for postponements or cancellations.
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.