The Devils stole this one. Pittsburgh controlled 58% of expected goals at 5v5—a dominant performance that earns wins on most nights. The Penguins still lost 2-1 in a shootout.

The case for Pittsburgh was strong. They held 34 shot attempts to New Jersey's 24, taking the shooting battle decisively. High-danger chances went 5-2. Expected goals finished 3.32–2.46, another commanding edge. By the underlying metrics, this was a Pittsburgh win.

The Devils' goaltending had other plans. Jake Allen stopped 33 of 34 shots for a 0.971 save percentage, saving 2.32 goals above expected against the run of play. More telling: Allen faced 5 high-danger chances and stopped all 5. The Penguins' precision broke down when it mattered—they went 0 for 5 on their best chances and underperformed their expected goals by 2.32, a chasm between prep and execution.

Alexei Silovs kept Pittsburgh breathing. He posted 23 saves on 24 shots for a 0.958 save percentage, crediting himself 1.46 goals above expected. One goaltender rose to the moment; the other's team buried the chances.

The tipping point came in the shootout. Jesper Bratt's wrist shot from the doorstep ended it—a moment New Jersey's body of play didn't earn, but their goaltending did.

The model projects a 2.6-2.6 game with New Jersey at 51% win probability. This is as close to a pick'em as you'll find.

Season-long 5v5 metrics show why. Pittsburgh's expected goals share sits at 51.0%, compared to New Jersey's 50.0%—a negligible gap. Corsi tilts the other way, 50.0% for the Penguins and 51.0% for the Devils. Possession is a wash.

The one visible variable is the Devils' PDO at 0.971. They're running cold, which means their goal rate has lagged their underlying shot quality. Positive regression is overdue.

Both goaltenders start this matchup fatigued. J. Markstrom and A. Silovs are each on a back-to-back. Backup appearances or a tired starter are live possibilities in either crease.

Rickard Rakell carries the Penguins' shot-generation load. He's averaging 1.01 xG per 60 minutes with 13 goals and a 12.1% shooting rate, suggesting his scoring has outpaced expected output. He's someone New Jersey will need to account for. Note that Filip Hallander, a 1.28 xG/60 contributor, is likely out with a conditioning evaluation and won't factor here.

Jack Hughes and Timo Meier drive New Jersey's attack. Hughes has 18 goals and 17 assists with an 0.88 xG per 60, indicating he's outscored his chances—a sign of either finishing skill or unsustainable luck, depending on your read. Meier sits at 1.08 xG/60 with 13 goals and 15 assists, more aligned with his expected impact.

Both teams' finishing patterns reveal structural weakness. Pittsburgh's high-danger goal rate and rebound goal rate both sit at 0%. The same holds for New Jersey. Neither side is generating messy, second-chance looks at a clip that would show up in these splits—a concern if either team needs a late goal. Caleb Jones anchors Pittsburgh's defensive weakness; Johnathan Kovacevic does the same for New Jersey.

This is a game where meta-level execution will separate the teams more than raw talent. Both sides can score, both sides can defend at roughly the same rate, and both are dealing with goaltending fatigue. The Devils' PDO gives them a credible angle for positive variance, but that's not a prediction—that's an observation about available tail risk. Pittsburgh's depth at forward, led by Rakell's volume, keeps them in the mix.

The 51% projection for New Jersey reflects all this. It's not conviction; it's equilibrium. Lean toward the team with the warmer puck luck, but prepare for a coin flip.