North Dakota Fighting Hawks vs. South Dakota State Jackrabbits
Volume:
$628,735
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24h
7d
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Description
This event group covers a men's college basketball game between the University of North Dakota Fighting Hawks and South Dakota State University Jackrabbits scheduled for February 21, 2026 at 3:00 PM ET. Markets include moneyline (winner), over/under total points at 151.5, and point spread outcomes at -6.5 and -7.5 for South Dakota State.
Kalshi market contains a logical contradiction: both possible game outcomes (North Dakota win or South Dakota State win) are stated to resolve to Yes, making the market unresolvable. Polymarket markets are internally consistent but operate on different resolution mechanics (moneyline, totals, spreads).
Hero Tip:
Treat Kalshi market as unresolvable pending clarification from the platform. The Polymarket moneyline is your reliable reference for winner determination. All Polymarket markets (moneyline, O/U 151.5, spreads at -6.5 and -7.5) use consistent final-score-including-overtime logic with 50-50 cancellation fallback.
Critical Divergence Points:
Polymarket: Moneyline resolves to winning team name; Over/Under resolves Over if combined score >= 152; Spreads resolve based on margin (SDSU -6.5 wins if margin >= 7, SDSU -7.5 wins if margin >= 8). All use final score including overtime. Postponement keeps market open; cancellation with no makeup resolves 50-50.
Kalshi: Market states: 'If North Dakota wins... resolves to Yes' AND 'If South Dakota St. wins... resolves to Yes'. Both outcomes map to identical resolution (Yes), creating logical impossibility. Key quote: both conditional branches lead to same 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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