Georgia Tech Yellow Jackets vs. Pittsburgh Panthers (W)
Volume:
$48,191
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a women's college basketball game between Georgia Tech Yellow Jackets and Pittsburgh Panthers scheduled for February 19, 2026 at 6:00 PM ET. The markets resolve based on which team wins the game, with provisions for postponement, cancellation, and overtime.
Kalshi's resolution logic contains a logical contradiction where both possible game outcomes (Georgia Tech win and Pittsburgh win) are stated to resolve to Yes, making the market fundamentally unresolvable and unable to differentiate between outcomes.
Hero Tip:
Avoid trading on Kalshi until the platform issues a corrected resolution statement. The Polymarket version is logically sound and should be treated as the reliable reference. Request clarification from Kalshi support before committing capital.
Critical Divergence Points:
Polymarket: Binary winner-take-all resolution: If Georgia Tech wins, resolves to Georgia Tech Yellow Jackets. If Pittsburgh wins, resolves to Pittsburgh Panthers. Postponement keeps market open; cancellation without makeup resolves 50-50. Key quote: 'The result will be determined based on the final score including any overtime periods.'
Kalshi: Contradictory logic: States If Georgia Tech wins then Yes AND If Pittsburgh wins then Yes, meaning both mutually exclusive outcomes map to the same resolution value. This creates a data integrity failure. Key quote: 'If Georgia Tech wins...then the market resolves to Yes. If Pittsburgh 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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.