This event group covers an NHL game between the Tampa Bay Lightning and Carolina Hurricanes scheduled for February 26, 2026 at 7:00 PM ET. Markets include moneyline (winner), spread (-1.5 Hurricanes), and multiple over/under total goals markets (4.5, 5.5, 6.5, 7.5).
Kalshi moneyline market contains a logical contradiction: both possible outcomes (Lightning win and Hurricanes win) are stated to resolve to Yes, which is impossible in a binary market structure and makes the market fundamentally unresolvable.
Hero Tip:
Do not trade the Kalshi moneyline until the platform clarifies the resolution logic. The Polymarket suite of markets (moneyline, spread, totals) all follow consistent, resolvable logic based on official NHL scores. If you must trade this matchup, use Polymarket markets only.
Critical Divergence Points:
Polymarket: Moneyline resolves to Lightning or Hurricanes based on final score. Spread (Hurricanes -1.5) resolves to Hurricanes if they win by 2+ goals, otherwise Lightning. Totals (4.5, 5.5, 6.5, 7.5) resolve Over/Under based on combined goals. All use NHL.com official scores, include overtime/shootouts (shootout adds 1 goal to winner), postponements remain open, cancellations resolve 50-50.
Kalshi: Moneyline states: If TB Lightning wins, resolves to Yes. If CAR Hurricanes wins, resolves to Yes. This creates a logical impossibility—both outcomes cannot both resolve to Yes in a binary market. Key quote: 'If TB Lightning wins...then the market resolves to Yes. If CAR Hurricanes wins...then the market resolves to Yes.'
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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