Montreal's dominance was evident in quality, not quantity: they matched Seattle's 22 shots on goal but generated 56% of the expected goals through superior efficiency. MTL's chances averaged 0.051 expected goals per shot versus Seattle's 0.038 — a decisive quality gap. High-danger opportunities reinforced the split: Montreal 4, Seattle 2.

Yet both teams significantly outperformed their underlying metrics. MTL converted 5 goals from 2.78 expected goals (a 2.22-goal surplus), while Seattle scored 4 from 2.17 (1.83 surplus). The game's variance indicated both offenses ran hot. J. Daccord allowed 2.22 goals beyond expectation; S. Montembeault underperformed by 1.83.

Montreal's rush-play efficiency separated the teams more decisively than the one-goal overtime margin. The Canadiens converted 5 goals on 26 rush chances; Seattle scored 3 on 22.

The model projects a 2.4-2.6 goal spread favoring Montreal, but places the Canadiens at just 54% win probability—as close to a pick'em as the data gets.

Montreal's territorial advantage is the story. They're driving play at 49.0% Corsi, while Seattle manages just 45.0%, giving the Canadiens a structural edge that should tilt play in their favor for sustained stretches. That advantage is real: Montreal's expected goals percentage sits at 48.0% to Seattle's 46.0%.

But here's the rub. Montreal's PDO is 1.018—they're running hot. Regression is built into the model, and it'll likely emerge over time. Seattle's 1.011 is closer to baseline, which means their underlying play matches their results more closely. Montreal's play-driving edge is being amplified by luck.

Cole Caufield is Montreal's primary generator. His 0.97 xG/60 and 20.0% shooting rate (33 goals total) represent a converging threat—generating elite chances and converting them at an elite rate. Brendan Gallagher operates a tier below in terms of volume, carrying 0.89 xG/60 and 4.6% shooting, but he's proven dangerous on secondary plays (13 assists).

Seattle's offensive burden falls on Jacob Melanson and Ben Meyers. Melanson's 0.88 xG/60 and 2 high-danger goals suggest he's one of the few Kraken creating real danger around the net. Meyers is something different: he's posting a 12.1% shooting rate on 0.82 xG/60, a combination that's unsustainable and likely to regress. Neither matches Caufield's elite volume, but both are capable of stealing stretches.

Defensively, Chandler Stephenson is a liability for Seattle, while Mike Matheson carries that role for Montreal. Both teams register 0% on special-event goal rate (high-danger and rebound), which is statistically unusual and suggests either defensive discipline or a small-sample artifact.

Montreal's path runs through controlling play and converting opportunities with Caufield. Seattle's depends on Melanson and Meyers sustaining their shooting efficiency while Montreal's inevitable PDO regression materializes. The model, by settling on 54% Montreal, is effectively neutral on the question of which happens first. That's genuinely a coin flip.