This event group covers an NHL game between the New York Islanders and Montreal Canadiens scheduled for February 26, 2026 at 7:00 PM ET. Markets include moneyline (match winner), multiple over/under total goals markets (4.5, 5.5, 6.5, 7.5 thresholds), and a spread bet on the Canadiens at -1.5 goals.
Kalshi moneyline market contains a logical contradiction where both possible outcomes (Islanders win and Canadiens win) are stated to resolve to Yes, making the market unresolvable. This is a data integrity failure that fundamentally breaks the market's binary structure.
Hero Tip:
Do not trade the Kalshi moneyline until the platform corrects the resolution logic. All Polymarket markets (moneyline, spreads, and over/unders) are logically sound and use consistent NHL.com official scoring as the source. Polymarket is the reliable platform for this event group.
Critical Divergence Points:
Polymarket: Clear binary moneyline: Islanders win resolves to Islanders, Canadiens win resolves to Canadiens. Over/Under markets use combined goal thresholds with explicit shootout rule (add 1 goal to winning team). Spread market: Canadiens -1.5 resolves Canadiens if they win by 2+ goals, otherwise Islanders. All markets reference NHL.com official scores as authoritative source.
Kalshi: Moneyline market states: 'If NYI Islanders wins...resolves to Yes. If MTL Canadiens wins...resolves to Yes.' Both mutually exclusive outcomes map to the same resolution (Yes), creating a logical impossibility. No other markets provided for comparison.
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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