Coppin State Eagles vs. North Carolina Central Eagles (W)
Volume:
$29,176
Markets
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 Coppin State Eagles and North Carolina Central Eagles scheduled for February 14, 2026 at 2:00 PM ET. Markets resolve based on which team wins the game, with specific handling for postponements and cancellations.
Kalshi uses a binary Yes/Yes resolution structure for both outcomes, while Polymarket uses categorical winner resolution. Both platforms agree on the underlying event (final score determines winner) and edge case handling (postponement keeps market open, cancellation resolves 50-50 on Polymarket only).
Hero Tip:
Treat these as separate markets with incompatible settlement mechanics. On Kalshi, clarify whether the Yes resolution applies to both outcomes or if this is a documentation error. On Polymarket, standard winner-pick logic applies. Postponement handling is consistent; cancellation handling differs (Polymarket specifies 50-50, Kalshi is silent).
Critical Divergence Points:
Kalshi: Binary Yes resolution for both outcomes. Both Coppin St. win and North Carolina Central win resolve to Yes. No explicit guidance on postponement or cancellation.
Polymarket: Categorical winner resolution. Coppin State Eagles win resolves to 'Coppin State Eagles'; North Carolina Central Eagles win resolves to 'North Carolina Central Eagles'. Postponement keeps market open; cancellation with no make-up resolves 50-50.
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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