This event group covers a women's college basketball game between Mississippi State Bulldogs and Texas Longhorns scheduled for February 22, 2026 at 2:00 PM ET. Markets across platforms are betting on the binary outcome: which team wins the game.
Kalshi's resolution logic contains a logical contradiction where both possible game outcomes (Texas win and Mississippi State win) are mapped to the same resolution state (Yes), making the market fundamentally unresolvable and creating a data integrity failure.
Hero Tip:
Do not trade on Kalshi until this is resolved. The market as written cannot distinguish between the two teams winning. Polymarket offers clear, standard binary logic. Request clarification from Kalshi on whether this market should resolve based on game completion rather than winner, or if the Yes/No conditions were incorrectly specified.
Critical Divergence Points:
Polymarket:
Standard winner-take-all binary. Resolves to "Mississippi State Bulldogs" if MSU wins or "Texas Longhorns" if Texas wins. Postponement keeps market open; cancellation without makeup resolves 50-50. Key quote: 'If the Mississippi State Bulldogs win, the market will resolve to Mississippi State Bulldogs. If the Texas Longhorns win, the market will resolve to Texas Longhorns.'
Kalshi:
Logically contradictory structure. Both outcomes map to Yes: 'If Texas wins...resolves to Yes' AND 'If Mississippi St. wins...resolves to Yes'. No condition specified for No resolution. Key quote: Both conditional branches resolve to Yes, creating a tautology.
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.