TOTAL VOLUME:
$61.8b
24H VOL:
$236,615,189
24H TRANSACTIONS:
600,069,390
OPEN INTEREST:
$1,344,513,070
577,941
Markets across
14,530
events
MATCHED EVENTS:
4,090
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 Chicago State Cougars scheduled for February 26, 2026 at 7:00 PM ET. Markets across Polymarket and Kalshi are betting on the winner of this matchup, with resolution based on the final score including overtime.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market contains a logical contradiction where both possible game outcomes (Chicago St. win OR LIU win) are mapped to the same resolution state (Yes), making the market fundamentally unresolvable and creating data integrity failure.Hero Tip:
Do not trade on Kalshi until the market logic is corrected by the platform. The market as currently written cannot distinguish between the two teams winning. Polymarket is the only viable venue for this event with coherent resolution logic.Critical Divergence Points:
Polymarket:
Clean binary resolution: LIU Sharks win resolves to 'LIU Sharks'; Chicago State Cougars win resolves to 'Chicago State Cougars'. Postponement keeps market open; cancellation with no makeup resolves 50-50. Resolution based on final score including overtime.Kalshi:
Defective logic: Both outcomes resolve to Yes. Market states 'If Chicago St. wins...resolves to Yes' and separately 'If LIU wins...resolves to Yes'. No distinction between winning teams; market cannot resolve correctly.
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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