This event group covers a women's college basketball game between Samford Bulldogs and Furman Paladins scheduled for February 19, 2026 at 7:00 PM ET. Markets across Polymarket and Kalshi are betting on the winner of this matchup.
Kalshi market contains a logical contradiction where both possible game outcomes (Furman win and Samford win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable and creating a data integrity failure.
Hero Tip:
Do not trade on the Kalshi market in its current form. The resolution logic is broken because every possible game outcome resolves to Yes, leaving no path to a No resolution. Wait for Kalshi to clarify or correct the market terms. Polymarket's binary structure is logically sound and should be treated as the authoritative reference.
Critical Divergence Points:
Polymarket: Binary winner-take-all structure. Resolves to either Samford Bulldogs or Furman Paladins based on final score including overtime. Handles postponement by keeping market open; handles cancellation with no makeup by resolving 50-50. Key Quote: If the Samford Bulldogs win, the market will resolve to Samford Bulldogs. If the Furman Paladins win, the market will resolve to Furman Paladins.
Kalshi: Yes/No structure with contradictory resolution logic. Both Furman win and Samford win map to Yes resolution, leaving no valid path to No. This creates an unresolvable market. Key Quote: If Furman wins... then the market resolves to Yes. If Samford wins... then the market resolves to Yes.
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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