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 Siena Saints and Iona Gaels scheduled for March 7, 2026 at 11:00 AM ET. Markets on both 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's resolution logic contains a logical contradiction where both possible outcomes (Siena win and Iona win) resolve to the same state (Yes), making the market fundamentally unresolvable as a binary contract.Hero Tip:
Do not settle positions on Kalshi until the platform clarifies whether the market should resolve Yes only for Siena or only for Iona. Polymarket's winner-based resolution is logically sound and should be your reference framework.Critical Divergence Points:
Polymarket:
Winner-based binary resolution. Siena victory resolves to Siena Saints, Iona victory resolves to Iona Gaels. Postponement keeps market open; cancellation without makeup resolves 50-50. Resolution determined by final score including overtime.Kalshi:
Contradictory dual-Yes logic. Both Siena win and Iona win are stated to resolve to Yes, creating logical impossibility. No mention of postponement or cancellation handling.
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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