This event group covers the women's college basketball game between New Haven Chargers and Stonehill Skyhawks scheduled for February 19, 2026 at 6:00 PM ET. Markets resolve based on which team wins the game, with provisions for postponement, cancellation, and overtime.
Kalshi's resolution logic is internally contradictory, mapping both possible outcomes (New Haven win and Stonehill win) to the same resolution value (Yes), making the market logically unresolvable. Polymarket provides coherent binary resolution logic.
Hero Tip:
Kalshi's market is broken and should not be traded. The platform must clarify whether the market should resolve Yes only for New Haven, only for Stonehill, or if this is a Yes/No on game completion. Polymarket's market is tradeable and follows standard conventions.
Critical Divergence Points:
Polymarket:
Sound binary logic: resolves to 'New Haven Chargers' if New Haven wins, 'Stonehill Skyhawks' if Stonehill wins. Handles postponement (market stays open) and cancellation without makeup (50-50 split). Resolution includes overtime. Key Quote: 'If the New Haven Chargers win, the market will resolve to New Haven Chargers. If the Stonehill Skyhawks win, the market will resolve to Stonehill Skyhawks.'
Kalshi:
Logically broken: both outcomes map to Yes. States 'If New Haven wins...resolves to Yes' and separately 'If Stonehill wins...resolves to Yes,' creating a tautology. No specification for postponement or cancellation. Key Quote: 'If New Haven wins...resolves to Yes. If Stonehill wins...resolves to Yes.'
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.