TOTAL VOLUME:
$61.8b
24H VOL:
$236,615,189
24H TRANSACTIONS:
600,069,390
OPEN INTEREST:
$1,344,513,070
577,941
Markets across
14,530
events
MATCHED EVENTS:
4,090
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 Hofstra Pride and Monmouth Hawks scheduled for March 1, 2026 at 2:00 PM 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 market contains a logical contradiction where both Monmouth victory and Hofstra victory are stated to resolve to Yes, making the market unresolvable. Polymarket provides a coherent binary resolution framework.Hero Tip:
Avoid the Kalshi market entirely due to unresolvable logic. Trade only on Polymarket, which has clear winner-take-all resolution with explicit handling of postponements (market remains open) and cancellations (50-50 split).Critical Divergence Points:
Polymarket:
Binary winner-take-all structure. Hofstra win resolves to Hofstra Pride, Monmouth win resolves to Monmouth Hawks. Postponement keeps market open; cancellation with no makeup resolves 50-50. Resolution based on final score including overtime.Kalshi:
Logically contradictory: both Monmouth victory and Hofstra victory are stated to resolve to Yes, creating an impossible resolution scenario where the market cannot distinguish between 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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