This event group covers a men's college basketball game between Northern Iowa Panthers and Drake Bulldogs scheduled for March 1, 2026 at 3:00 PM ET. Markets span moneyline (winner), point spreads at multiple thresholds (-3.5, -4.5), and over/under totals at multiple lines (137.5, 138.5, 139.5).
Kalshi moneyline market contains a logical contradiction: both Northern Iowa win and Drake win are stated to resolve to Yes, making the market fundamentally unresolvable. This is a data integrity failure that prevents proper settlement.
Hero Tip:
Do not trade the Kalshi moneyline market as currently written. The contradiction makes it impossible to determine a valid resolution outcome. Focus trading activity on Polymarket, which has clear, consistent, and mutually exclusive resolution criteria across all market types. Await Kalshi clarification or correction before engaging.
Critical Divergence Points:
Polymarket: Moneyline resolves to Northern Iowa Panthers if they win, Drake Bulldogs if Drake wins — mutually exclusive outcomes. Spreads resolve based on margin of victory (4+ points for -3.5, 5+ points for -4.5). Totals resolve Over at 140+ (139.5 line), 139+ (138.5 line), or 138+ (137.5 line) combined points. All include overtime in final score. Postponement keeps market open; cancellation with no makeup = 50-50 split.
Kalshi: Moneyline states: 'If Northern Iowa wins... resolves to Yes' AND 'If Drake wins... resolves to Yes' — both outcomes map to the same resolution (Yes), creating logical impossibility. No edge case or tiebreaker language provided to disambiguate.
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.