The Maple Leafs bested New Jersey 4-0 in a game the underlying numbers said should have been much closer. Expected goals favored Toronto 3.97–3.75, nearly even, yet the Devils failed to score while the Leafs converted decisively.

The divergence came down to goaltending. J. Woll (TOR) posted a 1.000 save percentage, stopping 3.75 goals above expected—the entire margin of victory came through his crease. J. Markstrom (NJD) saved at 0.897 SV%, underperforming by 0.97 goals as the Leafs punished the chances he faced.

Toronto dominated through execution. On 27 rush attempts, the Leafs scored 3 goals—a conversion rate that defined the night. Matthew Knies's wrist shot from the high slot at 17:01 of the first period set the tone. The Leafs also won high-danger chances 6–4 and finished theirs while New Jersey underperformed expected goals by 3.8, wasting quality opportunities.

The Devils held a marginal edge in shot attempts (33 to 30), but Toronto's 48% of attempts masked their control. The Leafs dictated play where it mattered.

This is an even matchup disguised as one. The model projects a 2.6–2.5 Devils win with New Jersey at 51% probability, which is as close to a pick'em as sports betting produces.

The surface argument favors neither team. Both are bleeding goals over their last 10 games—Toronto at minus-7, New Jersey at minus-6—a sign that depth scoring has dried up for both clubs just when they need it most.

But the underlying play tells a sharper story. New Jersey owns the territorial advantage by a meaningful margin: 50.0% expected goals share and 51.0% Corsi at 5v5. That's not a razor's edge. It means the Devils are consistently generating more dangerous chances and controlling the game's physical shape. Toronto is being out-worked.

Where Toronto sits is in the goaltending. D. Hildeby faces a back-to-back scenario that could tilt the crease toward a tired starter or a backup who hasn't played in weeks. That's the most concrete edge New Jersey can exploit.

The Devils' PDO registers 0.971—a cold streak baked into the record. Regression is owed. Jack Hughes has already produced 18 goals on an 11.5% shooting rate, evidence that he's both creating and finishing at a level that's not fluky. Timo Meier's 1.08 xG per 60 minutes is elite, though his 6.7% shooting rate suggests more volume will convert.

Toronto's problem runs deeper. Auston Matthews leads with 1.10 xG per 60 and 17 goals, but that output isn't translating into the kind of game-shifting volume the Leafs need. John Tavares is doing the secondary work—0.91 xG per 60, 15 goals, 24 assists—but his 12.4% shooting rate is inflated. When regression hits, it hits him hard.

Neither team is generating secondary scoring through pure chance. Both sit at 0% for high-danger and rebound goals over the sample, a structural limitation that means they're relying on their top-tier producers. New Jersey's defensive structure holds as long as Johnathan Kovacevic doesn't become a sieve. Toronto's does the same with Bo Groulx in the lineup.

The model is right to call this a toss-up. New Jersey has the process edge—better underlying play, better shot location, better volume. Toronto has the flip-coin edge—the kind of unpredictable leverage that exists in small samples and goaltending roulettes. Both teams will have moments. The winner will be the one who tightens possession when it matters.