This event group covers an NHL game between the Minnesota Wild and Utah Hockey Club scheduled for February 27, 2026 at 9:00 PM ET. Markets span moneyline (winner), spread betting, and total goals over/under thresholds across Kalshi and Polymarket platforms.
Kalshi spread markets use symmetric goal-differential thresholds (1.5 and 2.5) that resolve Yes for either team winning by that margin, while Polymarket's spread is directional (Utah -1.5 requires 2+ goal Utah win). Moneyline and totals logic is consistent.
Hero Tip:
Do not cross-hedge Kalshi spread Yes positions with Polymarket Utah -1.5 positions. Kalshi spreads reward large margins for either team; Polymarket spread is Utah-directional. Moneyline (Wild vs Utah winner) and all total goals markets (O/U 4.5, 5.5, 6.5, 7.5) are logically unified and safe to arbitrage.
Critical Divergence Points:
Kalshi: Four spread markets using symmetric goal-differential thresholds. Resolves Yes if Minnesota wins by >1.5 goals, Minnesota wins by >2.5 goals, Utah wins by >1.5 goals, or Utah wins by >2.5 goals. Each is a separate Yes/No market. Quote: 'If Minnesota wins by over 1.5 goals in the Minnesota at Utah professional hockey game originally scheduled for Feb 27, 2026, then the market resolves to Yes.'
Polymarket: Spread market (Utah -1.5) is directional and binary: resolves to Utah if Utah wins by 2+ goals, otherwise resolves to Wild. Quote: 'This market will resolve to "Utah" if the Utah win the game by 2 or more goals. Otherwise, this market will resolve to "Wild".'
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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