This event group covers the women's college basketball game between the Georgia Bulldogs and Texas Longhorns scheduled for February 26, 2026 at 10:00 PM ET. Both Polymarket and Kalshi are offering prediction markets on the outcome of this single game, with resolution based on the final score including overtime.
Kalshi's resolution logic contains a logical contradiction where both possible game outcomes (Georgia win and Texas win) are stated to resolve to Yes, making the market fundamentally unresolvable. This is a data integrity failure that prevents proper settlement.
Hero Tip:
Avoid trading on Kalshi until the contradiction is resolved. The Polymarket version uses standard binary logic (Georgia Bulldogs vs Texas Longhorns) and is the only resolvable market in this group. Contact Kalshi support to clarify whether the Yes/Yes mapping is a documentation error or intentional market design.
Critical Divergence Points:
Polymarket:
Clean binary resolution: Georgia Bulldogs win resolves to Georgia Bulldogs; Texas Longhorns win resolves to Texas Longhorns. Handles postponement by keeping market open and cancellation without makeup by 50-50 split. Key Quote: The result will be determined based on the final score including any overtime periods.
Kalshi:
Contradictory resolution logic: states If Georgia wins resolves to Yes AND If Texas wins resolves to Yes, creating an impossible dual-outcome mapping. No contingency rules provided for postponement or cancellation. Key Quote: If Georgia wins...resolves to Yes. If Texas wins...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.