This event group covers the men's college basketball game between the Pittsburgh Panthers and North Carolina Tar Heels scheduled for February 14, 2026 at 2:00 PM ET. Markets span moneyline (winner), point spread (UNC -11.5), and over/under (144.5 total points) outcomes.
Kalshi's moneyline market contains a logical contradiction: both Pittsburgh win and North Carolina win are stated to resolve to Yes, violating the mutual exclusivity required for a binary game outcome. This makes the market fundamentally unresolvable as written.
Hero Tip:
Do not trade Kalshi's moneyline until clarification is obtained. The market structure is internally inconsistent. Use Polymarket's moneyline (Pittsburgh Panthers vs North Carolina Tar Heels) as the reliable reference. Polymarket's spread and over/under markets are consistent with standard CBB settlement practices.
Critical Divergence Points:
Kalshi: Moneyline market states both Pittsburgh win and North Carolina win resolve to Yes, creating logical impossibility. No mutual exclusivity defined. Quote: 'If Pittsburgh wins...resolves to Yes. If North Carolina wins...resolves to Yes.'
Polymarket: Moneyline resolves to either 'Pittsburgh Panthers' or 'North Carolina Tar Heels' (mutually exclusive). Spread and Over/Under follow standard CBB rules with postponement (market stays open) and cancellation (50-50 resolution). Quote: 'If the Pittsburgh Panthers win, the market will resolve to Pittsburgh Panthers. If the North Carolina Tar Heels win, the market will resolve to North Carolina Tar Heels.'
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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