The Devils beat the Wild 5–2, but expected goals split 3.11–2.83—a near-even game buried under goaltending variance and rush execution.

The scoreline masks the underlying competition. The Wild held 44% of shot attempts (23–29 on goal) and generated meaningful opportunities. Yet they left 1.11 goals on the table in expected performance, while the Devils overperformed theirs by 2.17. Across both teams, that's the entire difference between a one-goal contest and a three-goal blowout.

Goaltending was the axis. J. Markstrom stopped 1.11 goals above expected; J. Wallstedt gave up 2.17 more than his workload deserved. When one team gets that split, a close underlying game becomes a lopsided scoreline.

New Jersey was lethal off the rush—5 goals on 27 chances—a conversion rate that punishes lapses. Marcus Foligno's wrist shot from the doorstep at 19:41 of the third period was the turning point, the moment the game tipped from competitive to runaway.

The Wild crashed the crease aggressively: 5 rebound opportunities, 1 converted. Effective positioning, but insufficient finish. New Jersey generated only 3 rebound chances and converted none—their dominance came from higher-quality initial looks, not second-chance efficiency.

The shot share went to Minnesota. The puck luck went to New Jersey. When those vectors split with elite goaltending backing the play, a team wins decisively even if xG suggested a close game.

Three Stars

• #7 D. Hamilton (NJD) — 2A in 19:08
• #13 N. Hischier (NJD) — 2A in 18:13
• #91 D. Mercer (NJD) — 1G, 1A in 16:36

Minnesota is the model's slight favorite at 54% win probability, but this game sits on a knife's edge. The projection spreads only 2.4 to 2.6 goals—about as close to a pick'em as exists.

New Jersey's advantage lives at 5v5 territorial control. The Devils drive Corsi at 51.0% to Minnesota's 48.0%, which means they're pushing play toward the opposing net with consistent pressure. That advantage evaporates when you examine raw chance quality. Minnesota generates 52.0% expected goals against Jersey's 50.0%, suggesting the Wild are more efficient when they do attack.

Jersey's luck pendulum tilts downward. Their PDO of 0.971 means they're running cold on both scoring and goaltending combined. That figure rarely sustains; regression favors the Devils later in the game.

Minnesota's PDO of 1.007 suggests the inverse. They're riding a sliver of fortune, which can vanish on a single shift.

The Forwards

Timo Meier is New Jersey's engine at 1.08 expected goals per 60 minutes. His 13 goals and 15 assists anchor the Devils' offense, though his 6.7% shooting rate suggests some regression risk. More telling: only three of his goals came from high-danger chances, meaning he converts scrappier opportunities than his underlying xG rate implies.

Jack Hughes operates at 0.88 xG/60—lower volume than Meier, but steadier. His 11.5% shooting rate is the outlier. When he shoots, he scores, which makes Minnesota's goaltending a factor.

Matt Boldy is Minnesota's counterweight. At 22 goals on 0.89 xG/60, Boldy is finishing at 13.7%—elite territory. Five of his goals came from high-danger spots, meaning his scoring is built on substance, not luck.

Robby Fabbri rounds out the watch list. At 0.88 xG/60 but only 2 goals, he's chasing finishing angles. One goal from a high-danger spot and a 6.9% shooting rate suggest improvement is coming.

The Setup

New Jersey will press for territorial position and let regression work in their favor. Minnesota's path runs through sustained chance generation and Boldy's finishing while Jersey's shooting luck remains cold.

The Devils' control metrics give them structural advantage. Minnesota's scoring talent gives them a second-half cushion. This one genuinely could go either way.