This event group covers a women's college basketball game between Northeastern Huskies and Drexel Dragons scheduled for February 27, 2026 at 6:00 PM ET. Markets on Polymarket and Kalshi are tracking the winner of this matchup, with resolution based on the final score including any overtime periods.
Kalshi's resolution logic contains a logical contradiction: both Drexel winning and Northeastern winning are stated to resolve to Yes, making the market unresolvable as a binary contract. Polymarket uses standard winner-take-all binary logic.
Hero Tip:
Do not trade Kalshi's version until the resolution logic is corrected. The market cannot function as written because every possible outcome (Drexel win or Northeastern win) resolves to Yes, leaving no path to a No resolution. Use Polymarket as your authoritative source.
Critical Divergence Points:
Polymarket: Standard binary winner-take-all structure. Resolves to 'Northeastern Huskies' if Northeastern wins, or 'Drexel Dragons' if Drexel wins. Handles postponement (market stays open) and cancellation without makeup (50-50 split). Key Quote: 'If the Northeastern Huskies win, the market will resolve to Northeastern Huskies. If the Drexel Dragons win, the market will resolve to Drexel Dragons.'
Kalshi: Contradictory dual-Yes resolution logic. States both 'If Drexel wins...resolves to Yes' and 'If Northeastern wins...resolves to Yes', creating an impossible condition where every outcome maps to Yes. Key Quote: 'If Drexel wins...resolves to Yes. If Northeastern 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.
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