A men's college basketball game between the University of Connecticut Huskies and Villanova University Wildcats scheduled for February 21, 2026 at 5:30 PM ET at Villanova. Multiple prediction markets track the moneyline winner, point spread outcomes at various thresholds (-2.5, -3.5, -4.5), and combined team scoring totals (Over/Under at 140.5, 141.5, and 142.5 points).
Kalshi moneyline market contains a logical contradiction where both possible game outcomes (Villanova win and UConn win) are specified to resolve to Yes, with no defined No resolution path. This makes the market fundamentally unresolvable. Polymarket markets are logically consistent with clear binary or ternary outcomes.
Hero Tip:
Do not trade the Kalshi moneyline. Focus on Polymarket's moneyline (Connecticut Huskies vs. Villanova Wildcats), spread markets (-2.5, -3.5, -4.5), and Over/Under markets (140.5, 141.5, 142.5), which all follow standard, resolvable logic with explicit postponement and cancellation handling.
Critical Divergence Points:
Kalshi: Moneyline market contains unresolvable logic: both 'Villanova wins' and 'UConn wins' outcomes are mapped to Yes with no No resolution specified. This is a data integrity failure that prevents proper market settlement.
Polymarket: Moneyline resolves to named outcomes (Connecticut Huskies or Villanova Wildcats) with clear binary logic. Spread markets (-2.5, -3.5, -4.5) resolve based on point differential thresholds. Over/Under markets (140.5, 141.5, 142.5) resolve based on combined team score. All include explicit postponement (market remains open) and cancellation (50-50 resolution) rules.
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.