Montreal's 6-2 win obscures the underlying precision: they scored six goals on an expected 3.89. A 2.11-goal overperformance sits well outside variance—it was elite finishing backing a 61–39 expected-goal advantage (3.89–2.48).

Boston's problem was quality masking as volume. The Bruins held 49% of shot attempts (28-29 on goal), but graded low: 0.047 xG per attempt versus Montreal's 0.066. High-danger chances made the gap obvious—Montreal generated seven to Boston's one, converting three (43%) to Boston's one (14%).

J. Swayman absorbed the damage. The goalie went 23-for-29 (0.793 SV%), 2.11 goals below his expected baseline. J. Fowler (Montreal) operated in the inverse reality: 26 of 28 (0.929 SV%), standing on firmer ground.

Montreal's efficiency extended beyond shooting. On the rush, they scored three goals on 28 attempts. Boston manufactured four rebound chances and converted zero. The power play reinforced the gap: 2 PPG on 12 shots (1.26 xG).

Juraj Slafkovský's slap shot from the top of the circles (P3, 12:22) capped Montreal's third-period control.

The model is essentially indifferent: it projects a 2.5-2.6 goal game with Boston holding 52% win probability. That margin is noise.

Both teams are running even at even strength. Montreal's 48.0% expected goals share and 49.0% Corsi are matched against Boston's 47.0% xG% and identical Corsi—genuine statistical parity. The differentiator is finish: both are overperforming their shot quality. Montreal's 1.018 PDO and Boston's 1.023 PDO suggest both are due for regression, which cuts both ways.

Back-to-back situations for both J. Swayman and J. Dobes create variability: a backup start is possible, or both starters are fatigued. That's unpredictable leverage.

Montreal leans on Cole Caufield, who carries 0.97 expected goals per 60 minutes at even strength while running a 20.0% shooting rate—33 goals and 16 assists sustained by elite finishing. Oliver Kapanen backs him at 0.83 xG/60, converting 17.8% of his shots into goals. The Bruins will gameplan around Caufield, but they'll be chasing a player who shoots better than the underlying chances suggest.

Boston counters with Viktor Arvidsson at 1.04 xG/60, a volume generator fueling 18 goals and 24 assists, while Tanner Jeannot operates at 0.75 xG/60. Montreal's Mike Matheson represents the softest defensive link; Boston's is Elias Lindholm.

Both teams generate and suppress chances at nearly identical rates. Both are punching above their shot quality. The unpredictable variable—goaltending fatigue—becomes the decisive factor.