Montreal's 4–1 win contradicts the underlying play: the Islanders created more dangerous chances, posting 4.48 expected goals to Montreal's 3.97 (a 53–47 split). The Canadiens won anyway.

J. Fowler made it possible. The Montreal goaltender stopped 32 of 33 shots (0.970 SV%) and saved 3.48 goals above expected — a performance that transformed a likely loss into a rout. I. Sorokin, at the other end, posted a 0.818 SV% on 18 of 22 saves, surrendering the margin that decides close games.

The Islanders' collapse in the danger zone cemented the defeat. They went 0 for 8 on high-danger chances despite generating an 8–6 edge in them. Montreal was ruthless: 3 of 6 in the high-danger area (50%). The Islanders wasted their possession advantage — 60% of shot attempts (33–22 on net) but could not convert the chances that mattered. They generated 8 rebound opportunities and converted zero.

Z. Bolduc's snap shot from the doorstep in the third period (19:45) shifted momentum early.

This is basically a toss-up. The model projects a 2.5-2.7 final margin favoring the Islanders, with New York at 52% win probability—as close to a pick'em as the numbers offer.

Montreal has the form edge: 8-2-0 over their last 10 games tells you they're playing winning hockey. New York is slumping, minus-7 in goal differential over the same stretch. But both teams produce identical underlying play at 5v5—48.0% expected goals share and 49.0% Corsi percentage. The separation lies in efficiency. Montreal's 1.018 PDO suggests they're running hot enough that regression is likely. New York sits at 0.993, slightly suppressed.

Both goalies work back-to-backs: I. Sorokin and J. Dobes could be backed up, or both starters could play tired. Either way, goal-mouth vulnerability is on the menu for both sides.

Cole Caufield is Montreal's primary offensive engine—33 goals on 0.97 expected goals per 60 minutes, with 20.0% shooting efficiency that reflects lethal conversion on high-danger looks (1 HD goal). Brendan Gallagher operates as the secondary option with 0.89 xG/60, though his 4.6% shooting rate (5 goals, 1 HD goal) indicates underperformance relative to the quality of his chances.

New York's offense centers on Anders Lee, who leads in expected output: 1.20 xG/60, 9 goals, 20 assists, and 2 high-danger goals that cluster in dangerous ice. Bo Horvat offers secondary punch at 0.87 xG/60 with 18 goals and 3 HD goals—more efficient on lesser volume.

Defensively, Mike Matheson is Montreal's weak link. Alexander Romanov carries that burden for New York. Both teams show 0% high-danger and 0% rebound goal rates in the data provided, though these figures likely reflect sample-size noise rather than true organizational gaps.

Three Things to Watch

• Goaltender durability on the back-to-back—I. Sorokin and J. Dobes both face fatigue or bench time.
• Cole Caufield's regression math. At 20.0% shooting, the pendulum swings back.
• Anders Lee's xG-to-goal conversion. At 1.20 xG/60 with only 9 goals, is New York leaving production on the table?