Montreal's 3-1 win understates how thoroughly they controlled the game — they held 71% of 5v5 expected goals despite a scoreline that looks more competitive than it was.

The Canadiens dominated shot attempts (65%, 33–18 on goal) and high-danger chances (11–4), generating three times as many truly dangerous looks. They shot more efficiently too: 0.092 expected goals per shot versus Toronto's 0.053.

What kept the gap from being wider: Montreal underperformed their expected goals by 3.26, while J. Woll remained between the pipes and stopped 4.3 goals above expected. The Maple Leafs' netminder posted a 0.938 SV% despite Toronto creating only 2.52 expected goals total.

J. Dobes stopped 17 of 18 for Montreal (0.944 SV%), but Woll was the standout: he saved 4.3 goals above expected and kept 91% of high-danger chances off the board despite facing 11 of them.

Montreal's efficiency on the rush proved decisive — three goals on 30 rush chances. The Canadiens crashed the net hard enough to generate four rebound opportunities, though they converted none; Toronto created four as well but left them unused.

This is a pick'em. The model projects a 2.4–2.7 Toronto goal outcome with Montreal at 54% win probability—close enough that flipping a coin would be equally honest.

Montreal is the hotter team, posting a 6-1-3 run over their last 10. Toronto is underwater at -12 goal differential in the same span. If recent form settles the question, the Canadiens win.

But the advanced numbers complicate it. Montreal's 49.0% Corsi and 48.0% expected goal share should translate to territorial advantage, yet Toronto stays competitive at 45.0% Corsi and 46.0% xG%. The efficiency gap is tighter than the shot suppression suggests.

Montreal's real vulnerability is their 1.018 PDO—they're running hot, and regression is statistical law. Toronto sits at 1.002, closer to sustainable reality. Expect some Montreal regression unless they sustain their scoring touch despite tighter luck.

The scoring edge is Montreal's to lose. Cole Caufield is operating at 0.97 xG/60 with 33 goals and a 20.0% shooting rate, meaning he's both generating chances and executing them at an elite level. Oliver Kapanen at 0.83 xG/60 with 19 goals adds a secondary threat that Toronto cannot afford to ignore.

Toronto counters with Auston Matthews at 1.10 xG/60—the highest volume creator on the ice—paired with 17 goals and a 10.6% shooting clip that leaves room to run hotter. John Tavares supplies consistency: 0.91 xG/60, 15 goals, 12.4% shooting, and 24 assists suggesting he facilitates as much as he finishes. If Toronto's power play clicks, Matthews and Tavares create a ceiling that matches Montreal's scoring.

The defensive concern for Toronto centers on Bo Groulx; for Montreal, Mike Matheson sits as a potential weak link. Neither team generates a notable high-danger-goal advantage on either end, making this a five-on-five game where territorial advantage meets skill variance.

Montreal's recent hot streak and territorial edge make them the slight favorite. But Toronto's elite scoring talent and closer-to-sustainable luck profile means this feels genuinely uncertain. The Canadiens should win the territorial battle; the Maple Leafs have the tools to steal one if their stars perform.