The Mammoth beat the Wild 5-2, but Minnesota underperformed its expected goals by 1.34 — the goaltending split was the game.

Utah controlled play decisively: 4.78 expected goals to Minnesota's 3.34, a 59-41 split. K. Vejmelka made 21 of 23 shots at 0.913, stopping 1.34 goals above expected. J. Wallstedt faced 32 of 37 at 0.865, meaning Minnesota's scoreline understated how close they actually were.

Where Utah won: rush efficiency. The Mammoth scored 4 goals on 30 rush attempts while Minnesota converted just 2 on the same volume — a two-goal variance on identical opportunity counts. High-danger chances reflected the gap more accurately: Utah 8, Minnesota 5. In that zone, Minnesota was clinical — 40% conversion rate on 5 attempts. But Utah's net-crashing worked: they generated 5 rebound opportunities and converted 1, keeping Minnesota's defense scrambling.

C. Keller led Utah's attack with 1 goal and 2 assists in 16:41. M. Sergachev's 2 assists in 25:05 set the tone from the point. M. Boldy had 1 goal and 1 assist for Minnesota despite the loss.

The underlying metrics told the story before the final horn: Utah was better, but not 5-2 better. K. Vejmelka's confidence in the crease and Minnesota's inability to finish separated a competitive game from a blowout.

The model projects Minnesota at 2.5 expected goals and Utah at 2.6, giving the Mammoth 53% win probability. This is about as even as it gets.

Minnesota arrives hot: the Wild are 8-1-1 in their last ten. But Utah owns identical expected-goals territory at 5v5 (52.0% xG% apiece) and controls possession at 53.0% Corsi against Minnesota's 48.0%. Both teams sit at healthy PDOs—Minnesota 1.007, Utah 1.003—suggesting neither is due for regression.

Utah has the rest advantage: one day between games versus Minnesota's 22 days off. Watch K. Vejmelka on the back-to-back; he may start on empty or see a backup.

Dylan Guenther leads Utah's attack: 1.02 expected goals per 60 at 5v5, 28 goals, 15 assists, 3 high-danger goals, and 16.8% shooting. Daniil But (1.01 xG/60, 2 goals, 2 assists, 1 high-danger goal, 5.6% shooting) provides secondary punch. Minnesota counters with Matt Boldy—0.89 xG/60, 22 goals, 18 assists, 5 high-danger goals, 13.7% shooting—and Robby Fabbri (0.88 xG/60, 2 goals, 3 assists, 1 high-danger goal, 6.9% shooting), though Fabbri is marked inactive.

Utah's possession advantage should translate to more scoring chances, yet the model barely favors them. Minnesota's depth limits what looks like Utah's territorial edge.

Utah's defensive liability is Maveric Lamoureux; Minnesota's is Matt Kiersted. Neither weakness tilts a matchup this close.