This event group covers a men's college basketball game between Dartmouth Big Green and Columbia Lions scheduled for February 21, 2026 at 2:00 PM ET. Markets include moneyline (winner), over/under total points (150.5), and point spread outcomes (-6.5 and -7.5 for Columbia).
Kalshi market contains a logical contradiction: both possible game outcomes (Columbia win and Dartmouth win) are mapped to the same resolution state (Yes), leaving no valid resolution path for a No outcome. This is a data integrity failure that makes the market fundamentally unresolvable.
Hero Tip:
Do not trade the Kalshi market in its current form. The resolution logic is self-contradictory and cannot be settled fairly. Focus on Polymarket's moneyline, spread, and over/under markets, which have clear, mutually exclusive resolution criteria based on final score and margin of victory.
Critical Divergence Points:
Polymarket: All five markets (moneyline, O/U 150.5, spread -6.5, spread -7.5) use mutually exclusive, logically sound resolution criteria. Moneyline: winner takes all. Spreads: Columbia wins if margin >= threshold, else Dartmouth. O/U: Over if combined score >= 151, else Under. Edge cases (postponement, cancellation) handled consistently with 50-50 fallback for cancellation.
Kalshi: Market states: 'If Columbia wins... resolves to Yes. If Dartmouth wins... resolves to Yes.' Both outcomes map to Yes, creating logical impossibility. No valid condition produces a No resolution. This violates binary market structure and cannot be settled.
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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