Maryland Eastern Shore Hawks vs. Coppin State Eagles (W)
Volume:
$6,817
Markets
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 Maryland Eastern Shore Hawks and Coppin State Eagles scheduled for February 21, 2026 at 2:00 PM ET. Markets across Polymarket and Kalshi are pricing the outcome of this single game, with resolution tied to the final score including overtime.
Kalshi's resolution logic states both possible game outcomes (Coppin St. win OR Maryland-Eastern Shore win) resolve to Yes, which is logically impossible for a binary Yes/No market and makes the market fundamentally unresolvable.
Hero Tip:
This is a critical data integrity failure on Kalshi. The market cannot function as written. Contact Kalshi support immediately to clarify whether the No outcome is missing, or if this market is intended to resolve Yes only on game completion. Polymarket's winner-take-all structure is logically sound. Avoid trading Kalshi until the contradiction is officially resolved.
Critical Divergence Points:
Polymarket: Winner-take-all binary with three explicit edge cases. Hawks win resolves to Hawks; Eagles win resolves to Eagles; postponement keeps market open; cancellation with no makeup resolves 50-50. Resolution based on final score including overtime.
Kalshi: Both possible game outcomes (Coppin St. wins OR Maryland-Eastern Shore wins) are stated to resolve to Yes. No resolution path to No is defined. This creates a logical contradiction in a binary Yes/No market structure.
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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