A college basketball game between Holy Cross Crusaders and Lafayette Leopards scheduled for March 3, 2026 at 7:00 PM ET. Markets cover moneyline (winner), over/under total points (141.5), and point spreads (-4.5 and -3.5 for Lafayette).
Kalshi market contains a logical contradiction where both Lafayette winning and Holy Cross winning resolve to Yes, making the market fundamentally unresolvable and creating irreconcilable conflict with Polymarket's binary moneyline structure.
Hero Tip:
This is a critical data integrity failure on Kalshi. The market as written cannot distinguish between outcomes. Before trading, request official clarification from Kalshi on whether this market is meant to resolve on game occurrence (not outcome) or if the resolution text contains a drafting error. Polymarket markets are internally consistent and resolvable.
Critical Divergence Points:
Polymarket: Moneyline market clearly bifurcates: Holy Cross Crusaders win resolves to Holy Cross Crusaders; Lafayette Leopards win resolves to Lafayette Leopards. Spread and Over/Under markets use objective point thresholds. Cancellation with no makeup resolves 50-50. Quote: 'If the Holy Cross Crusaders win, the market will resolve to Holy Cross Crusaders. If the Lafayette Leopards win, the market will resolve to Lafayette Leopards.'
Kalshi: Market definition states both outcomes resolve identically to Yes, creating logical impossibility. Quote: 'If Lafayette wins... then resolves to Yes. If Holy Cross wins... then resolves to Yes.' This contradicts the binary nature of a single game outcome.
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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