Miami (OH) RedHawks vs. Eastern Michigan Eagles (W)
Volume:
$1,800
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a Women's College Basketball (WBB) matchup between Miami (OH) RedHawks and Eastern Michigan Eagles scheduled for February 25, 2026 at 6:30 PM ET. The markets resolve based on the final game outcome, with provisions for postponement, cancellation, and overtime.
Kalshi's resolution logic is logically contradictory: both possible game outcomes (Miami win and Eastern Michigan win) are specified to resolve to Yes, leaving no condition for a No resolution. This makes the market fundamentally unresolvable as a binary contract.
Hero Tip:
Avoid trading Kalshi until the platform clarifies the resolution logic. The contract as stated cannot function as a binary Yes/No market. Polymarket offers clear, standard binary resolution logic and should be preferred for this event.
Critical Divergence Points:
Polymarket: Standard binary outcome market with clear winner determination. Resolves to Miami (OH) RedHawks if Miami wins; resolves to Eastern Michigan Eagles if Eastern Michigan wins. Postponement extends market; cancellation without makeup resolves 50-50. Resolution based on final score including overtime.
Kalshi: Stated as binary Yes/No contract but contains logical contradiction. Both Miami win and Eastern Michigan win are specified to resolve to Yes, with no stated condition for No resolution. This violates basic binary contract logic.
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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