A men's college basketball game between the Wyoming Cowboys and Colorado State Rams scheduled for February 14, 2026 at 4:00 PM ET. Markets cover the moneyline winner, point spread outcomes at multiple thresholds, and total points over/under at three different lines.
Kalshi's moneyline market contains a logical contradiction where both possible game outcomes resolve to Yes, making the market fundamentally unresolvable. Polymarket's markets are logically sound and internally consistent.
Hero Tip:
Do not trade the Kalshi moneyline. Focus on Polymarket's moneyline, spreads, and totals, which all follow coherent binary or threshold-based logic. If you hold Kalshi moneyline contracts, escalate to platform support for clarification or cancellation.
Critical Divergence Points:
Kalshi: Moneyline market resolves to Yes for both Colorado State win AND Wyoming win, with no defined No outcome. This is a tautology—every possible game result triggers Yes. Quote: 'If Colorado St. wins... resolves to Yes. If Wyoming wins... resolves to Yes.'
Polymarket: Moneyline market resolves to either 'Wyoming Cowboys' or 'Colorado State Rams' based on final score, with clear binary outcomes. Spread markets resolve based on margin thresholds (5+ or 6+ points). Total markets resolve based on combined score thresholds (137, 138, or 139+ points). All outcomes are mutually exclusive and resolvable. Quote: 'If the Wyoming Cowboys win, the market will resolve to Wyoming Cowboys. If the Colorado State Rams win, the market will resolve to Colorado State Rams.'
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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