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 Notre Dame Fighting Irish and SMU Mustangs scheduled for February 22, 2026 at 6:00 PM ET. Markets resolve based on the final score of the game, including any overtime periods, with special handling for postponements and cancellations.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market contains a logical contradiction where both SMU victory and Notre Dame victory resolve to Yes, making the market fundamentally unresolvable as a binary outcome market. Polymarket's logic is sound and internally consistent.Hero Tip:
Avoid trading the Kalshi version of this market until the platform corrects the resolution logic. The market cannot distinguish between the two possible game outcomes. Polymarket offers a properly structured, resolvable binary market on the same event.Critical Divergence Points:
Polymarket:
Clean binary structure: Notre Dame win resolves to Notre Dame Fighting Irish, SMU win resolves to SMU Mustangs, cancellation with no makeup resolves 50-50. Final score including overtime determines outcome.Kalshi:
Defective logic: Both "If SMU wins" and "If Notre Dame wins" are stated to resolve to Yes. This creates a logical impossibility where the market cannot differentiate between the two mutually exclusive game outcomes.
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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