Utah and Detroit's expected goals were nearly identical—4.11 to 3.93, a 51-49 edge to Utah—yet the Mammoth won 4-1. The gap is Vejmelka's brilliance and Detroit's wastefulness.

The Red Wings underperformed their expected goals by 2.93. K. Vejmelka saved 2.93 goals above expected, turning a close underlying game into a decisive result. That symmetry is no accident: Utah's goaltending excellence fed Detroit's offensive misfire.

Detroit actually had the dangerous chances. High-danger chances favored the Red Wings 6-4; Utah converted 2 of 4 (50%), Detroit 1 of 6. The Mammoth's edge came from efficiency and net-front work—3 goals off the rush on 26 chances, and 0.087 expected goals per shot versus Detroit's 0.056. Quality over volume.

Utah held 46% of shot attempts, a disadvantage offset by superior positioning and finishing. J. Gibson (DET) posted +1.11 above expected with 21 saves on 24 shots, but Vejmelka's 0.967 save percentage (29 on 30) drowned Detroit's chances.

Clayton Keller's snap shot from the point at 17:42 was the turning point.

The Mammoth are the clear lean according to underlying play. The model projects a 2.4–2.7 score favoring Utah, giving the Mammoth 56% win probability.

Utah dominates at 5v5. The Mammoth control 52.0% of expected goals versus Detroit's 49.0% and drive 53.0% Corsi to the Red Wings' 49.0%—a territorial tilt that compounds through a full game. Detroit's offense has slightly outperformed its xG (PDO: 0.985 vs. Utah's 1.003), but Utah's luck may follow.

Dylan Guenther drives Utah's offense, carrying 1.02 xG/60 with 28G and 15A on 16.8% conversion. Daniil But generates at a similar 1.01 xG/60 despite 2G 2A, signaling either variance or deployment in lower-scoring situations. Detroit counters with Alex DeBrincat (0.88 xG/60, 17G 28A) and Marco Kasper (0.81 xG/60, 7G 8A), but both shoot below season norms—Kasper at 6.1%, DeBrincat at 9.0%.

Neither team scores from high-danger chances or rebounds at any meaningful rate (both 0%), indicating efficient but not explosive finishing. The difference is throughput: Utah generates more looks, so Utah finishes more goals.

K. Vejmelka and J. Gibson are both on back-to-backs. Watch for backup starts or tired starters to flatten the model's edge. Axel Sandin-Pellikka is Detroit's defensive weak link, and Maveric Lamoureux fills that role for Utah—though Utah's territorial pressure should blunt his impact.

The model's 56% lean reflects Utah's 5v5 dominance. The Mammoth dictate play, generate more at even strength, and convert efficiently. That usually wins.