Western Kentucky Hilltoppers vs. Liberty Flames (W)
Volume:
$19,821
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
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Description
This event group covers the women's college basketball game between Western Kentucky Hilltoppers and Liberty Flames scheduled for February 28, 2026 at 2:00 PM ET. The markets resolve based on which team wins the game, with provisions for postponement, cancellation, and overtime.
Kalshi market contains a logical contradiction where both possible game outcomes (Western Kentucky win and Liberty win) are stated to resolve to Yes, making the market fundamentally unresolvable. Polymarket uses standard binary winner-takes-all logic.
Hero Tip:
This is a critical data integrity failure on Kalshi. The market cannot settle because both mutually exclusive outcomes cannot both resolve to Yes. Contact Kalshi support to confirm whether the Liberty win outcome should resolve to No. Avoid trading Kalshi until clarification is provided.
Critical Divergence Points:
Polymarket: Binary winner-takes-all resolution. Western Kentucky victory resolves to Western Kentucky Hilltoppers, Liberty victory resolves to Liberty Flames. Includes edge case handling for postponement (market remains open) and cancellation (50-50 split). Resolution based on final score including overtime.
Kalshi: Contradictory resolution logic states both Western Kentucky win and Liberty win resolve to Yes. This creates a logical impossibility where the market cannot distinguish between the two mutually exclusive outcomes. No edge case provisions stated.
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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