This event group covers the outcome of a women's college basketball game between the Pittsburgh Panthers and SMU Mustangs scheduled for February 15, 2026 at 12:00 PM ET. The markets track which team wins the game, with resolution based on the final score including any overtime periods.
Kalshi uses a binary Yes/No structure where both possible game outcomes (SMU win or Pittsburgh win) resolve to Yes, whereas Polymarket uses a categorical structure that resolves to the specific winning team name. The underlying event is identical, but the settlement value architecture differs fundamentally.
Hero Tip:
Understand your platform's settlement type before trading. On Kalshi, this market will resolve Yes unless the game is canceled or postponed indefinitely. On Polymarket, you are selecting a specific team winner. Both platforms agree on the underlying game outcome determination (final score including overtime), but the way that outcome maps to a settlement value is incompatible.
Critical Divergence Points:
Kalshi:
Binary Yes/No structure. Both SMU win and Pittsburgh win resolve to Yes. Only No outcome would be cancellation or indefinite postponement. Key quote: 'If SMU wins...then the market resolves to Yes. If Pittsburgh wins...then the market resolves to Yes.'
Polymarket:
Categorical structure with two distinct outcomes: Pittsburgh Panthers or SMU Mustangs. Market remains open if postponed; resolves 50-50 if canceled with no makeup. Key quote: 'If the Pittsburgh Panthers win, the market will resolve to "Pittsburgh Panthers". If the SMU Mustangs win, the market will resolve to "SMU Mustangs".'
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.