This event group covers the women's college basketball game between Washington Huskies and UCLA Bruins scheduled for February 19, 2026 at 10:00 PM ET. Markets resolve based on which team wins the game, with provisions for postponement, cancellation, and overtime scenarios.
Kalshi's resolution logic contains a logical contradiction where both possible game outcomes (Washington win and UCLA win) are stated to resolve to YES, making the market fundamentally unresolvable as a binary contract. Polymarket uses standard binary winner-take-all logic.
Hero Tip:
Avoid trading Kalshi until the platform clarifies whether YES should apply only to Washington wins, or whether the market is intended to resolve YES if the game is played at all. Polymarket is the reliable reference market with clear, standard resolution criteria.
Critical Divergence Points:
Polymarket: Standard binary winner-take-all structure. Washington win resolves to 'Washington Huskies', UCLA win resolves to 'UCLA Bruins'. Postponement keeps market open; cancellation without makeup resolves 50-50. Key Quote: 'If the Washington Huskies win, the market will resolve to Washington Huskies. If the UCLA Bruins win, the market will resolve to UCLA Bruins.'
Kalshi: Contradictory resolution logic states both outcomes resolve to YES. 'If Washington wins the Washington at UCLA women's college basketball game originally scheduled for Feb 19, 2026, then the market resolves to Yes. If UCLA wins the Washington at UCLA women's college basketball game originally scheduled for Feb 19, 2026, then the market resolves to Yes.' This creates a logical impossibility for a binary YES/NO contract.
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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