TOTAL VOLUME:
$61.7b
24H VOL:
$229,178,007
24H TRANSACTIONS:
600,069,390
OPEN INTEREST:
$1,336,753,738
577,196
Markets across
14,485
events
MATCHED EVENTS:
4,077
PLATFORM COVERAGE:
4
Polymarket:
50%
VS.
Kalshi:
50%
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 LIU Sharks and Fairleigh Dickinson Knights scheduled for February 28, 2026 at 2:00 PM ET. Markets on Polymarket and Kalshi are tracking the outcome of this single game, with different resolution structures across platforms.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market contains a logical contradiction where both LIU win and FDU win 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 resolution logic is corrected. The market cannot distinguish between the two outcomes. Polymarket offers the only valid, resolvable market structure for this event.Critical Divergence Points:
Polymarket:
Binary winner-take-all structure. LIU Sharks victory resolves to LIU Sharks; Fairleigh Dickinson Knights victory resolves to Fairleigh Dickinson Knights. Includes edge case handling: postponement keeps market open until completion; cancellation without makeup resolves 50-50. Resolution based on final score including overtime.Kalshi:
Logical contradiction: both LIU win and FDU win resolve to Yes. This creates an impossible settlement scenario where the market cannot distinguish between outcomes, rendering it unresolvable.
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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