Minnesota dominated the underlying play and closed out 4-3 in overtime, a result their 58% expected-goals share (4.25–3.07) confirmed. The Wild controlled both shot volume (37–26) and high-danger chances (6–5). Their possession profile suggested a more decisive result than the one-goal margin delivered.

Efficiency on the rush separated the teams. Minnesota buried three of 24 rush chances—a clip that mattered in a one-goal game. Chicago created four rebound opportunities (one converted), while Minnesota built ten (one converted). The identical conversion rate belied Minnesota's structural dominance.

The goaltending split was peculiar: F. Gustavsson (MIN) posted a 0.875 save percentage (21/24) while S. Knight (CHI) held steady at 0.892 (33/37). Chicago's starter outperformed Minnesota's, yet the Wild won anyway. J. Wallstedt's brief appearance (2/2) carried a +3.1 goals-above-expected bump—the kind of marginal performance that shifts overtime games.

Mats Zuccarello sealed it with a snap shot from the high slot at 03:09 of overtime. Chicago posted 3.07 expected goals (42% of the total), but Minnesota's superiority in volume, efficiency, and shot quality made the result inevitable.

Minnesota's superiority on the underlying numbers is stark enough to be predictive. The model projects 56% win probability for the Wild, grounded in a 52.0% xG% advantage—a 2.8-2.4 expected-goals edge over 60 minutes.

Minnesota's edge is structural, not fluky. The Wild own a 48.0% Corsi%, controlling play across the ice and benefiting from marginally better luck via a 1.007 PDO to Chicago's 0.996. Chicago's recent form is dire: the Blackhawks sit at -11 goal differential over their last 10 games, a deficit that signals a team hemorrhaging in close contests.

The gap in expected goals reveals where the money is. Chicago cannot generate quality chances at scale, and their scoring depth cannot paper over that shortfall. Tyler Bertuzzi's 18.0% shooting rate and Connor Bedard's 11.8% rate are both above sustainable levels; regression will bite hard without volume behind them. Minnesota generates cleaner plays at higher volume, a structural advantage that typically survives a single game.

Players to Watch

MIN

• Matt Boldy — 0.89 xG/60, 22G 18A, 5 HD goals, 13.7% shooting
• Robby Fabbri — 0.88 xG/60, 2G 3A, 1 HD goal, 6.9% shooting

CHI

• Tyler Bertuzzi — 0.85 xG/60, 20G 15A, 7 HD goals, 18.0% shooting
• Connor Bedard — 0.82 xG/60, 17G 27A, 5 HD goals, 11.8% shooting