This event group covers a women's college basketball game between Prairie View A&M Panthers and Mississippi Valley State Delta Devils scheduled for February 19, 2026 at 6:30 PM ET. The markets resolve based on which team wins the game, with provisions for postponement, cancellation, and overtime.
Kalshi market resolves to Yes for both possible game outcomes (either team winning), creating a logical contradiction that makes the market fundamentally unresolvable. Polymarket uses a proper binary structure with distinct outcomes.
Hero Tip:
This is a critical data integrity failure on Kalshi. The market cannot distinguish between a Panthers win and a Delta Devils win since both resolve to Yes. Do not trade Kalshi until the platform issues a correction. Polymarket's market is logically sound and can be traded with confidence using standard binary resolution logic.
Critical Divergence Points:
Polymarket:
Binary winner-take-all structure with distinct resolution outcomes. Resolves to team name of winner. Handles postponement by keeping market open; handles cancellation without makeup by resolving 50-50. Includes overtime in final score determination. This is a properly constructed binary market.
Kalshi:
Defective Yes/No structure that maps both possible outcomes to Yes. States both 'If Prairie View A&M wins...resolves to Yes' and 'If Mississippi Valley St. wins...resolves to Yes.' This creates a logical impossibility where the market cannot distinguish between the two teams winning. No resolution path exists for a No outcome.
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.