TOTAL VOLUME:
$54.4b
24H VOL:
$224,446,576
24H TRANSACTIONS:
531,611,392
OPEN INTEREST:
$1,198,377,813
501,416
Markets across
13,642
events
MATCHED EVENTS:
1,816
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Stony Brook Seawolves vs. Monmouth Hawks (W)
Volume:
$59,667
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 Stony Brook Seawolves and Monmouth Hawks scheduled for February 13, 2026 at 7:00 PM ET at Monmouth. Markets resolve based on which team wins the game, with specific handling for postponements and cancellations.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's resolution logic is logically contradictory, resolving to Yes for both possible game outcomes, making the market unresolvable. Polymarket provides coherent team-specific resolution with clear cancellation protocol.Hero Tip:
Kalshi's market is broken and should not be traded. Use Polymarket as the source of truth. Escalate Kalshi to platform support immediately for clarification or cancellation.Critical Divergence Points:
- Kalshi: Resolves to Yes if Stony Brook wins AND Yes if Monmouth wins, creating a logical contradiction where both outcomes map to the same resolution. No cancellation protocol specified.
- Polymarket: Resolves to Stony Brook Seawolves if Stony Brook wins, or Monmouth Hawks if Monmouth wins. Postponed games remain open until completion. Canceled games without makeup resolve 50-50.
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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