The scoreboard reads 6-2, a blowout. Expected goals settled on 3.32–3.34, nearly even with Utah's edge. The gap between them tells everything about why Montreal won: goaltending collapse and clinical finishing in tight spaces.

S. Montembeault was the story. He saved 1.3 goals above expected with a 0.926 save percentage, converting near-certain Utah chances into stops. K. Vejmelka gave up 2.7 goals more than expected at 0.739, a performance that turned a competitive underlying game into a rout.

Montreal's execution in high-danger situations separated the teams. They converted 3 of 7 attempts (43%), a clinical rate in spaces where games turn. In a game where high-danger chances split 7–3, Montreal made the difference with finishing.

The rush game amplified the gap. Montreal scored 5 on 23 rush chances. Utah scored 2 on 24—nearly identical volume, completely different results. K. Dach's backhander from the doorstep (P3, 19:23) typified Montreal's approach: speed before Utah's structure formed.

Rebound opportunities went similarly. Montreal created 5 and converted 1. Utah created 3 and converted none. In an underlying game this close, that gap—zero versus one—defined the night.

The numbers crystallize it: Montreal overperformed their expected goals by 2.7; Utah underperformed by 1.34. In an evenly-matched underlying game, that gap in execution—not luck—defined the 6-2 result.

The model projects a 2.6-2.5 Utah victory with the Mammoth at 52% win probability—essentially a pick'em.

Utah owns the underlying play. The Mammoth generate 52.0% of expected goals at 5v5 and drive 53.0% Corsi, indicating territorial control and cleaner shot creation. Montreal's PDO of 1.018 reveals the Canadiens are running hot on conversion—regression is coming. The tension: Utah is the better team, but Montreal is overperforming on efficiency. J. Dobes starts on a back-to-back, a variable to monitor.

Dylan Guenther anchors Utah's offense at 1.02 xG/60 with 28 goals and 15 assists. His 16.8% shooting suggests precision when scoring opportunities arise. Daniil But provides secondary threats at 1.01 xG/60, though his 5.6% conversion (2 goals, 2 assists) signals he's underperforming his expected output.

Cole Caufield leads Montreal's counter at 0.97 xG/60, 33 goals, and 16 assists. His 20.0% shooting rate is elite—the highest volume of efficiency on the ice. Oliver Kapanen operates at 0.83 xG/60 with 19 goals and 12 assists, maintaining consistent threat at 17.8% shooting.

Defensively, Maveric Lamoureux is Utah's vulnerability; Mike Matheson represents similar exposure for Montreal. The team that executes its forecheck will create separation.

Utah should win on process. Superior chance generation, territorial control, and underlying metrics favor the Mammoth. But Montreal's home ice and conversion efficiency present genuine resistance. This is a true pick'em disguised as a home game.