George Mason Patriots vs. Loyola Chicago Ramblers (W)
Volume:
$27,500
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 George Mason Patriots and Loyola Chicago Ramblers scheduled for February 18, 2026 at 7:00 PM ET. Markets on Polymarket and Kalshi are tracking the winner of this matchup, with resolution based on the final score including overtime.
Kalshi market contains a logical contradiction where both possible game outcomes (George Mason win and Loyola Chicago win) are stated to resolve to Yes, making the market fundamentally unresolvable as written.
Hero Tip:
This is a critical data integrity failure on Kalshi. The market cannot settle correctly because only one team can win, but both outcomes map to Yes. Request clarification from Kalshi before trading. Polymarket's binary structure is sound and resolvable.
Critical Divergence Points:
Polymarket: Clean binary winner-take-all logic. George Mason win resolves to George Mason Patriots; Loyola Chicago win resolves to Loyola Chicago Ramblers. Handles postponement (market stays open) and cancellation (50-50 split) explicitly. Resolution based on final score including overtime.
Kalshi: Contradictory resolution logic. States If George Mason wins then Yes AND If Loyola Chicago wins then Yes. Since only one team can win in a single game, both conditions cannot both occur, making the market logically impossible to resolve correctly as drafted.
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.