TOTAL VOLUME:
$54.2b
24H VOL:
$217,900,088
OPEN INTEREST:
$1,256,149,940
499,530
Markets across
13,705
events
MATCHED EVENTS:
1,785
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Stanford Cardinal vs. Miami Hurricanes (W)
Volume:
$105,544
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the outcome of a women's college basketball game between Stanford Cardinal and Miami Hurricanes scheduled for February 19, 2026 at 8:00 PM ET. The markets resolve based on which team wins the game, with provisions for postponement, cancellation, and overtime.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market has a logical contradiction where both Stanford win and Miami win resolve to Yes, making the market fundamentally unresolvable. Polymarket uses a proper binary structure.Hero Tip:
Avoid Kalshi until the platform corrects the resolution logic. The market as written cannot distinguish between the two outcomes. Polymarket is the reliable venue for this event.Critical Divergence Points:
- Polymarket: Proper binary outcome structure. Stanford win resolves to Stanford Cardinal, Miami win resolves to Miami Hurricanes. Includes sensible edge cases: postponement keeps market open, cancellation without makeup resolves 50-50. Final score including overtime determines result.
- Kalshi: Defective Yes/No structure with logical contradiction. Both Stanford win and Miami win are stated to resolve to Yes, creating an impossible resolution scenario. No clear No condition is defined.
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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