This event group covers a college basketball game between the University of Massachusetts Minutemen and Bowling Green Falcons scheduled for February 28, 2026 at 2:00 PM ET. Markets include moneyline, multiple spread variations, and over/under totals across Polymarket and Kalshi platforms.
Kalshi market contains a logical contradiction where both possible game outcomes (UMass win and Bowling Green win) are mapped to the same resolution value (Yes), making the contract fundamentally unresolvable. Polymarket markets are internally consistent.
Hero Tip:
Do not trade the Kalshi market in its current form. The resolution logic is broken - it cannot distinguish between the two teams winning. Polymarket offers clear, resolvable markets for moneyline, spreads, and totals. Request Kalshi clarification or correction before engaging.
Critical Divergence Points:
Polymarket: All five markets (moneyline, three spreads at -5.5/-4.5/-3.5, two totals at 152.5/150.5) resolve based on final score including overtime. Winner takes moneyline. Spread winner determined by margin. Totals determined by combined points. Postponement keeps markets open; cancellation with no makeup resolves 50-50. Key quote: 'The result will be determined based on the final score including any overtime periods.'
Kalshi: Binary market states both outcomes resolve to Yes: 'If UMass wins... resolves to Yes' AND 'If Bowling Green wins... resolves to Yes'. This creates a logical impossibility where the market cannot distinguish between the two mutually exclusive outcomes. No resolution path exists for a No 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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