This event group covers a single NHL game between the Philadelphia Flyers and Washington Capitals scheduled for February 25, 2026 at 7:00 PM ET. Markets span moneyline (winner), spread betting, and multiple over/under total goals thresholds across Kalshi and Polymarket platforms.
Kalshi's goal-margin Yes/No markets lack explicit resolution rules for outcomes between defined thresholds, creating potential settlement ambiguity. Polymarket's markets are fully specified but use a different structural approach (moneyline, spreads, totals vs. margin-specific binaries).
Hero Tip:
Traders should seek clarification from Kalshi on how outcomes between thresholds resolve (e.g., Washington wins by exactly 2.0 goals). For spread exposure, treat Polymarket's Capitals -1.5 as the authoritative definition. Moneyline and total goals markets are unambiguous across both platforms.
Critical Divergence Points:
Kalshi: Four separate Yes/No markets: Washington >2.5 goals, Philadelphia >1.5 goals, Washington >1.5 goals, Philadelphia >2.5 goals. No explicit rule for outcomes between thresholds or ties. Quote: 'If Washington wins by over 2.5 goals... then the market resolves to Yes' (implies No for <=2.5, but no catch-all stated).
Polymarket: Moneyline (Flyers or Capitals winner), Over/Under totals at 4.5/5.5/6.5/7.5 combined goals, and Spread Capitals -1.5 (Capitals win by 2+ goals = Capitals, else Flyers). All thresholds explicitly defined. Quote: 'This market will resolve to Capitals if the Capitals win the game by 2 or more goals. Otherwise, this market will resolve to Flyers.'
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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