TOTAL VOLUME:
$54.4b
24H VOL:
$230,557,910
24H TRANSACTIONS:
531,611,392
OPEN INTEREST:
$1,202,344,730
501,342
Markets across
13,602
events
MATCHED EVENTS:
1,822
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Howard Bison vs. Morgan State Bears (W)
Volume:
$3,065
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 Howard Bison and Morgan State Bears scheduled for February 28, 2026 at 2:00 PM ET. Markets resolve based on the final score of 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 mutually exclusive outcomes (Howard win and Morgan State win) are specified to resolve to Yes, making the market fundamentally unresolvable and creating data integrity failure.Hero Tip:
Do not trade the Kalshi version of this market. The resolution logic is broken - both possible game outcomes cannot both resolve to Yes. Polymarket has correct binary logic. Request Kalshi clarification or cancellation.Critical Divergence Points:
- Polymarket: Clear binary resolution: Howard Bison win resolves to Howard Bison; Morgan State Bears win resolves to Morgan State Bears. Postponement keeps market open; cancellation without makeup resolves 50-50. Resolution based on final score including overtime.
- Kalshi: Contradictory specification: states both Howard win resolves to Yes AND Morgan State win resolves to Yes. This is logically impossible for a mutually exclusive sporting event and makes the market unresolvable.
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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