A men's college basketball game between Creighton Bluejays and St. John's Red Storm scheduled for February 21, 2026 at 12:00 PM ET. Markets cover moneyline (winner), point spread (-12.5 and -13.5), and total points over/under (153.5, 154.5, 155.5).
Kalshi moneyline markets contain a logical contradiction: both outcomes (Creighton win and St. John's win) resolve to Yes, making the market unresolvable. Polymarket provides standard binary outcomes. Cancellation handling also differs slightly between platforms.
Hero Tip:
Avoid Kalshi moneyline markets for this matchup due to the logical flaw. Use Polymarket moneyline for standard winner-take-all exposure. Spread and total markets are consistent across platforms and safe to trade.
Critical Divergence Points:
Kalshi: Moneyline markets state: 'If St. John's wins...resolves to Yes' AND 'If Creighton wins...resolves to Yes'. This creates a logical contradiction where both outcomes map to the same resolution. Quote: 'If St. John's wins the Creighton at St. John's men's college basketball game originally scheduled for Feb 21, 2026, then the market resolves to Yes. If Creighton wins...then the market resolves to Yes.'
Polymarket: Moneyline market provides mutually exclusive outcomes: resolves to 'Creighton Bluejays' if Creighton wins, or 'St. John's Red Storm' if St. John's wins. Spread and total markets use standard binary logic (Yes/No or Over/Under). Quote: 'If the Creighton Bluejays win, the market will resolve to Creighton Bluejays. If the St. John's Red Storm win, the market will resolve to St. John's Red Storm.'
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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