This event group covers the Philadelphia Flyers vs. Pittsburgh Penguins NHL game scheduled for March 7, 2026 at 5:30 PM ET. Markets span moneyline (winner), totals (combined goals at multiple thresholds), and spread betting across Kalshi and Polymarket platforms.
Kalshi moneyline resolution logic is structurally contradictory (both outcomes cannot resolve to Yes simultaneously), while Polymarket uses standard mutually exclusive categorical logic. Totals and spread markets are unified across platforms.
Hero Tip:
For moneyline exposure, use Polymarket as the authoritative source. Kalshi's moneyline markets require clarification before trading. All other market types (totals, spread) are safe to trade with confidence in unified resolution logic.
Critical Divergence Points:
Kalshi: Moneyline presented as two separate Yes-resolution conditions: 'If PHI Flyers wins...then Yes' and 'If PIT Penguins wins...then Yes'. This creates logical impossibility since only one team can win. Quote: 'If PHI Flyers wins the Philadelphia at Pittsburgh professional hockey game scheduled for Mar 7, 2026, then the market resolves to Yes. If PIT Penguins wins...then the market resolves to Yes.'
Polymarket: Moneyline structured as mutually exclusive categorical outcome: 'If the Flyers win, the market will resolve to Flyers. If the Penguins win, the market will resolve to Penguins.' Clear single winner determination with no ambiguity. Quote: 'If the Flyers win, the market will resolve to "Flyers". If the Penguins win, the market will resolve to "Penguins".'
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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