This event group covers the women's college basketball matchup between Fairfield Stags and Quinnipiac Bobcats scheduled for February 14, 2026 at 4:00 PM ET. The markets track which team wins the game, with resolution based on the final score including overtime.
Kalshi market contains a logical contradiction where both possible outcomes (Quinnipiac win and Fairfield win) resolve to Yes, rendering the market unresolvable. Polymarket uses standard categorical resolution naming the winner. The two platforms cannot be reconciled.
Hero Tip:
This is a critical data integrity issue on Kalshi. The market as stated would resolve Yes regardless of outcome, which violates basic prediction market logic. Treat Kalshi's terms as potentially erroneous and seek clarification from the platform before committing capital. Polymarket's structure is sound and should be your primary reference.
Critical Divergence Points:
Kalshi: Binary Yes resolution for both possible game outcomes. Both Quinnipiac victory and Fairfield victory trigger Yes resolution. Key Quote: 'If Quinnipiac wins...resolves to Yes' AND 'If Fairfield wins...resolves to Yes.' This creates a logical impossibility where the market cannot differentiate between outcomes.
Polymarket: Categorical resolution naming the winning team. Fairfield victory resolves to Fairfield Stags; Quinnipiac victory resolves to Quinnipiac Bobcats. Postponement keeps market open; cancellation without makeup resolves 50-50. Key Quote: 'If the Fairfield Stags win, the market will resolve to Fairfield Stags. If the Quinnipiac Bobcats win, the market will resolve to Quinnipiac Bobcats.'
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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