J. Allen, not the Devils' dominance, won this game. The goalie saved 3.05 goals above expected in a 4-1 victory over Anaheim, bailing out a team that underperformed its own expected goals by 1.39. The Ducks, meanwhile, left 3.05 goals on the ice — a damning indictment of their finish despite generating quality opportunities.

New Jersey's 57–43 expected-goals edge (5.39–4.05) looked comfortable on paper. In practice, Allen had to work. The Devils held just 42% of shot attempts (22–31), a clip that suggests Anaheim fought harder for possession than the final score implies. But New Jersey's chances carried more weight — 0.088 expected goals per shot versus Anaheim's 0.065. Quantity favored the Ducks. Quality did not.

High-danger chances told the same story: 9–5 to New Jersey. Anaheim, for all its pressure, converted zero of its five. L. Dostal stopped 2.4 goals above expected — a strong performance that would usually carry a team to at least a point. But the Devils were lethal: 3 goals on 28 rush chances, a conversion rate that punished Anaheim's zone entries.

New Jersey's depth showed. C. White and O. Palat each posted two assists, as did J. Lammikko. Connor Brown's backhander from the doorstep (third period, 18:00) embodied the game: a high-danger chance converted when it mattered.

Dostal stole as much as Allen did, statistically. But Allen's 0.968 save percentage and +3.05 mark above expected didn't just match his team's output; it exceeded it. The Devils won because they were better, yes. They won decisively because their goalie was better still.

The model projects 2.6 goals for Anaheim, 2.6 for New Jersey, with the Devils at 50% win probability. This is an even matchup.

Anaheim should own the underlying play. The Ducks carry 52.0% xG and 52.0% Corsi, a genuine edge in shot creation and puck recovery. New Jersey counters with 50.0% xG and 51.0% Corsi—tight enough that possession could swing either way.

Both teams, however, are running cold. Anaheim's PDO is 0.981, New Jersey's 0.971. Both are scoring below their expected rate and both are due for positive regression. When that correction hits, Anaheim's xG advantage evaporates. The model calls it even because the regression risk is real and symmetrical.

The offensive battle will determine the winner. Beckett Sennecke produces 1.03 xG/60 with 20 goals and 19 assists at 13.5% shooting—a conversion rate that may not hold. Timo Meier generates 1.08 xG/60 with 13 goals and 15 assists but converts at just 6.7%, a floor that suggests room for positive variance. Cutter Gauthier (0.99 xG/60, 25G 16A) anchors Anaheim's secondary scoring. Jack Hughes (0.88 xG/60, 18G 17A) is New Jersey's third option, shooting 11.5%.

The critical weakness both teams share: neither converts hard-chance or rebound goals. Both sit at 0% in those categories. In a tight game, that becomes the deciding factor. Whoever breaks through on a secondary chance owns the result.

Defensively, each team carries an exposed link. Mason McTavish is Anaheim's liability; Johnathan Kovacevic bleeds for New Jersey. The team that forces their opponent to exploit that weakness gains material advantage.

With matching offensive depth, parallel regression risk, and symmetric defensive exposure, the 50-50 call is defensible. Anaheim's underlying metrics favor the Ducks, but the PDO reversion risk neutralizes that edge entirely. In a game this even, execution on a single secondary chance or defensive lapse decides it.