TOTAL VOLUME:
$54.6b
24H VOL:
$283,259,638
OPEN INTEREST:
$1,235,549,422
505,521
Markets across
13,661
events
MATCHED EVENTS:
1,892
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
California Golden Bears vs. Miami Hurricanes (W)
Volume:
$107,715
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the women's college basketball game between California Golden Bears and Miami Hurricanes scheduled for February 22, 2026 at 2:00 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 contains a logical contradiction where both possible game outcomes (Miami win and California win) are specified to resolve to Yes, leaving no valid No resolution path. This makes the market fundamentally unresolvable and creates data integrity failure.Hero Tip:
Do not trade on Kalshi until the market is corrected. Use Polymarket as the authoritative source. The Kalshi market as written cannot distinguish between outcomes and violates core binary market logic.Critical Divergence Points:
- Polymarket: Clean binary structure: California win resolves to California Golden Bears, Miami win resolves to Miami Hurricanes. Cancellation without makeup resolves 50-50. Final score including overtime determines result.
- Kalshi: Defective logic: Both 'If Miami wins' and 'If California wins' are specified to resolve to Yes. No condition specified for No resolution. Creates impossible state where all game outcomes map to same resolution value.
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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