This event group covers a men's college basketball game between St. Francis (PA) Red Flash and Central Connecticut State Blue Devils scheduled for February 28, 2026 at 1:00 PM ET. Markets include moneyline, point spread (-8.5 and -9.5), and over/under totals (152.5 through 156.5).
Kalshi market contains a logical contradiction: both possible game outcomes (St. Francis win or Central Connecticut win) are mapped to the same resolution (Yes), making the market unresolvable and creating a data integrity failure.
Hero Tip:
Do not trade the Kalshi market in its current form. The resolution rules are logically incoherent—both teams winning cannot both resolve to Yes. Polymarket markets are consistent and resolvable. Request Kalshi clarify whether the market should resolve Yes/No based on a specific team, or whether it is a tautology designed to always resolve Yes (which would be a design error).
Critical Divergence Points:
Polymarket:
Moneyline resolves to winner name; spreads resolve based on margin (9+ points for -8.5, 10+ for -9.5); totals resolve based on combined score threshold. Postponement keeps market open; cancellation resolves 50-50. Source: NCAA.org. Key Quote: 'The result will be determined based on the final score including any overtime periods.'
Kalshi:
Market states both 'If St. Francis wins, resolves to Yes' AND 'If Central Connecticut wins, resolves to Yes.' This is a logical tautology with no specified No outcome. No postponement or cancellation guidance provided. This creates a critical data integrity failure.
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.