This event group covers a college basketball game between UNCG Spartans and Samford Bulldogs scheduled for February 28, 2026 at 6:00 PM ET. Markets include moneyline (winner), spread (-9.5 Samford), and over/under (156.5 total points) outcomes across Polymarket and Kalshi platforms.
Kalshi market has a logical contradiction: it resolves to Yes for either team winning, leaving no valid No condition. This makes the market fundamentally unresolvable as a binary contract.
Hero Tip:
Do not trade the Kalshi market until clarification is provided by the platform. The resolution logic violates basic binary market structure. Use Polymarket moneyline as the reliable source for game outcome.
Critical Divergence Points:
Polymarket: Three distinct markets with mutually exclusive outcomes. Moneyline: resolves to UNCG Spartans or Samford Bulldogs based on final score including overtime. Spread (-9.5): resolves to Samford Bulldogs if they win by 10+, otherwise UNCG Spartans. O/U (156.5): resolves to Over if combined score is 157+, Under if less than 157. All resolve 50-50 if game canceled with no makeup. Key quote: 'The result will be determined based on the final score including any overtime periods.'
Kalshi: Single market with incomplete resolution logic. States market resolves to Yes if Samford wins OR if UNC Greensboro wins, but provides no condition for No resolution. This creates a tautology where any completed game results in Yes. Key quote: 'If Samford wins... then the market resolves to Yes. If UNC Greensboro wins... then the market resolves to Yes.' (No alternative outcome specified.)
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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