Toronto didn't register a single high-danger chance and scored twice anyway. That's the starkest measure of Montreal's dominance—not the 5-2 final, but the fact that the Maple Leafs had to manufacture goals from nowhere while the Canadiens were suffocating quality across the board.

Montreal's underlying numbers explain why. The Canadiens held 73% of expected goals at 5v5 (4.02 to 1.51), controlled 53% of shot attempts (29 to 26), and turned the rush into an advantage: three goals on 31 chances versus Toronto's two on 22. The Canadiens' xG per shot (0.066) nearly tripled Toronto's (0.027)—they didn't just generate more chances, they generated smarter ones.

Josh Anderson's snap shot from the point at 17:50 in the third period was the turning point.

Montreal overperformed their expected goals by 0.98, but goaltending tells the real story. D. Hildeby was perfect in limited time (3 for 3, 1.000 SV%), then J. Woll took over and stopped 21 of 25 (0.840 SV%). Hildeby saved 4.0 goals above expected—a performance that should have buried Toronto's chances entirely. Montreal's J. Dobes, by contrast, allowed exactly what the numbers predicted: 24 saves on 26 shots (0.923 SV%).

Toronto's only argument: they generated higher-quality chances than their shot total suggested. A small consolation when Montreal was so much more ruthless with everything that followed.

Three Stars

• #8 M. Matheson (MTL) — 2A in 23:26
• #53 N. Dobson (MTL) — 2G in 20:44
• #88 W. Nylander (TOR) — 1G, 1A in 19:53

The model projects a 2.4 - 2.7 Toronto win with Montreal at 54% probability. This is pick'em territory.

Toronto trails in expected goals share at 46.0% xG%, but Montreal's territorial edge—49.0% Corsi%—masks a team running hot. Montreal's 1.018 PDO suggests regression is coming; they won't sustain this goaltending luck indefinitely. Toronto's more modest 1.002 PDO sits closer to sustainable.

But Montreal's form is deceptive. Over their last 10 games, they're -13 in goal differential despite driving play—a sign that their underlying performance hasn't translated to wins. Back-to-back games pressure both pipes: watch whether J. Dobes and J. Woll are starters or rested in favor of backups.

The forward matchups are asymmetrical. Auston Matthews leads Toronto at 1.10 xG/60 with 17 goals and a 10.6% shooting rate; he's elevated by opportunity volume but also clinical finishing. John Tavares runs 0.91 xG/60 but has converted at 12.4%, a sign he's punishing what he gets. For Montreal, Cole Caufield owns 33 goals at 0.97 xG/60—a 20.0% shooting rate that's unsustainable and where Montreal's luck concentrates. Oliver Kapanen (0.83 xG/60, 19 goals) has posted 4 high-danger goals, suggesting his scoring reflects actual chance quality, not luck.

Montreal's Corsi advantage projects to territorial control, but territory without finishing—or with finishes buoyed by PDO—is a trap. Toronto's 46.0% xG% isn't catastrophic; teams have won with worse underlying numbers when goaltending holds.

Defensively, Bo Groulx anchors Toronto's frailties; Mike Matheson carries similar weight for Montreal. Both create soft spots in transition.

This line should be tighter. The model has Montreal slightly favored on play, but the projection itself—2.4 - 2.7—carries low confidence. Coinflips happen when underlying numbers diverge from results, which is exactly where Montreal sits. Take the value wherever you find it.