This event group covers the women's college basketball game between Colgate Raiders and Navy Midshipmen scheduled for February 14, 2026 at 3:00 PM ET. The market resolves based on which team wins the game, with provisions for postponement and cancellation scenarios.
Kalshi's resolution logic contains a logical contradiction where both possible game outcomes (Colgate win and Navy win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable as written. Polymarket provides a coherent binary outcome structure.
Hero Tip:
Treat Kalshi as unresolvable until platform clarification is received. The market may have been intended to resolve Yes only if the game is completed (any winner), but as stated, it violates basic logical consistency. Trade only on Polymarket for this event until Kalshi issues an official amendment.
Critical Divergence Points:
Kalshi:
Tautological resolution: Both Colgate victory and Navy victory resolve to Yes. This creates a logical impossibility where the market outcome is predetermined regardless of actual game result. Quote: 'If Colgate wins...then the market resolves to Yes. If Navy wins...then the market resolves to Yes.'
Polymarket:
Binary outcome resolution: Colgate victory resolves to Colgate Raiders, Navy victory resolves to Navy Midshipmen. Postponement keeps market open; cancellation without makeup resolves 50-50. Quote: 'If the Colgate Raiders win, the market will resolve to Colgate Raiders. If the Navy Midshipmen win, the market will resolve to Navy Midshipmen.'
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.