James Madison Dukes vs. Coastal Carolina Chanticleers
Volume:
$976,781
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A men's college basketball game between James Madison Dukes and Coastal Carolina Chanticleers scheduled for February 18, 2026 at 7:00 PM ET at Coastal Carolina. Markets cover moneyline (winner), spread (-1.5), and over/under (141.5 total points) outcomes.
Kalshi moneyline market contains a logical contradiction where both possible game outcomes (Coastal Carolina win OR James Madison win) are specified to resolve to Yes, making the market fundamentally unresolvable as stated. Polymarket provides mutually exclusive outcomes.
Hero Tip:
Do not trade the Kalshi moneyline market as written - it contains a specification error. Use Polymarket moneyline as the reliable source. The spread and over/under markets across both platforms are logically sound and consistent.
Critical Divergence Points:
Kalshi: Moneyline market states: 'If Coastal Carolina wins...resolves to Yes' AND 'If James Madison wins...resolves to Yes'. Both mutually exclusive outcomes map to the same resolution, creating an unresolvable market. Quote: 'then the market resolves to Yes' (for both conditions).
Polymarket: Moneyline market states: 'If James Madison Dukes win, resolve to James Madison Dukes' and 'If Coastal Carolina Chanticleers win, resolve to Coastal Carolina Chanticleers'. Mutually exclusive outcomes with distinct resolutions. Quote: 'will resolve to James Madison Dukes' vs 'will resolve to Coastal Carolina Chanticleers'.
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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