This event group covers a college basketball game between Fairleigh Dickinson Knights and Mercyhurst Lakers scheduled for March 4, 2026 at 7:00 PM ET. Markets include moneyline (winner), point spreads at multiple levels (-3.5 and -4.5), and total points over/under at four different thresholds (131.5, 132.5, 133.5, 134.5).
Kalshi moneyline market contains a logical contradiction where both possible game outcomes (Mercyhurst win and FDU win) are specified to resolve to Yes, making the market unresolvable. Polymarket markets are logically consistent and resolvable.
Hero Tip:
Do not trade the Kalshi moneyline until the platform corrects the resolution logic. The market as written will resolve to Yes regardless of the actual game outcome, creating a guaranteed arbitrage or loss depending on pricing. Polymarket's suite of markets (moneyline, spreads, totals) are all internally consistent and can be traded with confidence.
Critical Divergence Points:
Polymarket: Moneyline resolves to team name of winner; spreads resolve based on margin (Lakers -4.5 = Lakers by 5+, Lakers -3.5 = Lakers by 4+); totals resolve Over if combined score meets or exceeds threshold. All include postponement hold and 50-50 cancellation. Key Quote: 'The result will be determined based on the final score including any overtime periods.'
Kalshi: Moneyline market states both 'If Mercyhurst wins...resolves to Yes' AND 'If FDU wins...resolves to Yes', creating a logical impossibility where every outcome resolves to Yes. This is a data integrity failure making the market unresolvable as written.
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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