This event group covers the Edmonton Oilers vs. Dallas Stars NHL game scheduled for March 12, 2026 at 8:00 PM ET. Markets span moneyline (winner), multiple over/under total goals thresholds (4.5, 5.5, 6.5, 7.5), and a spread bet on the Stars at -1.5 goals.
Kalshi and Polymarket use different phrasing conventions for identical over/under thresholds. Kalshi states 'over X.5 goals' while Polymarket states 'O/U X.5' with explicit goal counts. Both resolve identically in practice, but the semantic difference creates potential confusion in interpretation.
Hero Tip:
Focus on the explicit goal count (7, 6, 5, 8) rather than the decimal threshold. Both platforms resolve Over when that count is met or exceeded. Confirm shootout handling: Polymarket explicitly adds one goal to the winning team; Kalshi does not specify, so assume standard final score without shootout bonus.
Critical Divergence Points:
Polymarket: Over/Under markets use explicit goal thresholds: O/U 6.5 resolves Over if 7+ goals, O/U 5.5 resolves Over if 6+ goals, O/U 4.5 resolves Over if 5+ goals, O/U 7.5 resolves Over if 8+ goals. Shootout rule: one goal added to winning team's score. Moneyline resolves based on final score including overtime and shootouts. Spread (Stars -1.5) resolves Stars if they win by 2+ goals, otherwise Oilers.
Kalshi: Eight binary markets all phrased as 'If over X.5 total combined goals...then resolves to Yes.' Thresholds: 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5. No explicit shootout rule stated. Implicit resolution: Yes if combined goals exceed the threshold, No otherwise.
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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