This event group covers an NHL game between the Edmonton Oilers and Colorado Avalanche scheduled for March 10, 2026 at 10:00 PM ET. Markets span moneyline (winner), spread betting, and total goals over/under at multiple thresholds, with consistent resolution logic across both Kalshi and Polymarket platforms.
Unified Resolution Criteria (Consistent across platforms)
Both Kalshi and Polymarket use identical resolution logic: official final NHL score including overtime/shootout adjustments, with consistent postponement and cancellation protocols.
Primary resolution logic:
Official NHL.com final score (https://www.nhl.com/scores)
Core resolution logic:
Moneyline: Oilers win resolves to Oilers; Avalanche win resolves to Avalanche
Spread (Avalanche -1.5): Avalanche win by 2+ goals resolves to Avalanche; otherwise resolves to Oilers
Over/Under totals: Combined goals at or above threshold resolves Over; below threshold resolves Under
Shootout adjustment: One goal added to winning team's score for all resolution calculations
Overtime: Included in final score for all market types
Edge cases & Clarifications:
Game Postponement: Markets remain open and unresolved until the game is completed on a future date
Game Cancellation (No Makeup): All markets resolve 50-50 if the game is canceled entirely with no makeup game scheduled
Shootout Resolution: One goal is added to the winning team's score for purposes of spread and total goals resolution
Timing:
Resolution occurs immediately after the final official NHL score is posted on NHL.com following game completion on March 10, 2026
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.