A college basketball game between Longwood Lancers and Presbyterian Blue Hose scheduled for February 19, 2026 at 7:00 PM ET. Markets cover moneyline (winner), point spreads at multiple thresholds (-2.5, -3.5), and total points over/under at multiple lines (138.5, 139.5, 140.5, 141.5).
Kalshi moneyline market contains a logical contradiction where both possible game outcomes (Presbyterian win and Longwood win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable as written. Polymarket moneyline and all derivative markets (spreads, totals) use consistent, resolvable logic across both platforms.
Hero Tip:
Disregard Kalshi moneyline market due to structural impossibility. Use Polymarket moneyline as authoritative source. All spread and total markets are logically sound and consistent: spreads resolve based on margin of victory, totals resolve based on combined points, with 50-50 cancellation clause applying uniformly. Wait for official final score including overtime to settle all markets.
Critical Divergence Points:
Kalshi: Moneyline market states: 'If Presbyterian wins...then Yes' AND 'If Longwood wins...then Yes'. Both outcomes map to identical resolution, creating logical impossibility. No mechanism exists to differentiate winner.
Polymarket: Moneyline resolves to winner name: 'Longwood Lancers' if Longwood wins, 'Presbyterian Blue Hose' if Presbyterian wins. Clear binary outcome. 50-50 split only if game canceled with no makeup. Spreads and totals use threshold-based logic (margin >= threshold for spread, combined points >= threshold for total).
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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