Montreal's 6-3 win conceals an awkward disagreement: the teams were tied on high-danger chances (6-6), yet the Canadiens won by three. The underlying numbers explain why — Montreal simply converted from everywhere else.

The Canadiens controlled the game's foundation: 64% of shot attempts (41–23) and 61% of expected goals (5.19–3.30). But the real story is quality over quantity. Montreal generated 0.075 expected goals per shot versus Vancouver's 0.055 — a significant edge in shot-making efficiency that defined the game.

Where the divergence widened: Montreal scored two goals from low-danger spots, the kind opponents have to live with. They were lethal off the rush, converting 6 goals on 39 rush chances. Vancouver, meanwhile, was clinical in the high-danger zone — 3-for-6 (50%) — but the rest of the scoresheet worked against them.

Goaltending amplified the gap. N. Tolopilo (VAN) finished 35 for 41 with a 0.854 save percentage, underperforming expected by 0.81 goals — exactly the margin by which Montreal overperformed. J. Dobes (MTL) stopped 20 of 23.

Montreal's dominance wasn't fluky. Oliver Kapanen's snap shot from the high slot (Period 3, 06:05) punctuated the control. The Canadiens crashed effectively, generating five rebound opportunities, though converting none. They simply didn't need them.

Montreal's expected-goal advantage is large enough that the model sees a 55% win probability for the Canadiens, projecting a 2.4-2.7 game. The edge narrows when you account for regression risk — particularly Vancouver's PDO — but Montreal still wins the underlying narrative.

Montreal has outplayed Vancouver at 5v5: 48.0% xG to 44.0%, and 49.0% Corsi to 46.0%. This gap reflects real dominance in possession and shot quality, not noise. Montreal's 6-2-2 record over their last 10 games backs the results; Vancouver is minus-20 in goal differential over the same stretch.

The regression watch cuts both ways. Montreal's PDO sits at 1.018 — elite, unsustainable, and primed to normalize downward. Vancouver at 0.974 is cold and due for positive regression. This PDO gap is Montreal's real injury risk: if luck swings hard, the xG advantage evaporates.

Goaltending introduces a complication. Both J. Fowler and K. Lankinen are on back-to-backs, meaning backup starts or tired starters are possible for either side. The team that avoids fatigue in net holds a built-in advantage here.

The player matchups favor Montreal's depth. Cole Caufield (33G, 0.97 xG/60, 20.0% shooting) represents a different tier than Filip Chytil (3G, 1.03 xG/60, 15.0% shooting). Caufield's volume is real; Chytil's 15.0% shooting rate suggests he's running hot and due for regression. Oliver Kapanen (19G, 0.83 xG/60, 17.8% shooting) presents Montreal's secondary scoring threat. Drew O'Connor (13G, 0.85 xG/60, 11.8% shooting) is Vancouver's corresponding answer.

Vancouver's defensive weak link is Victor Mancini; Montreal's is Mike Matheson. Neither represents the game's hinge. Both teams have generated 0% high-danger-goal rates and 0% rebound-goal rates — expect normal conversion rates when those opportunities arise.

The model's 55% read on Montreal is sound, anchored by the xG gap and recent form. The PDO regression risk is real and worth hedging — it's why the projection stays 2.4-2.7 rather than a blowout. But Montreal owns the underlying play, and that's enough.