San Jose's 5-2 win masked a closer underlying battle—the Sharks' expected goals totaled just 3.10 to New Jersey's 2.69, a 54–46 split that barely favored the visitors. The Sharks simply converted at a far higher rate: they overperformed their xG by 1.90 goals, while the Devils couldn't capitalize on their high-danger chances (0 for 5).

The Devils generated the more dangerous looks. New Jersey created five high-danger chances at 0.041 xG per shot; the Sharks managed two, but at a superior 0.062 xG per shot. That efficiency gap—plus A. Nedeljkovic's near-perfect high-danger save rate (100% on five shots)—proved decisive.

Where the Sharks pulled away: the rush. They scored four goals on 24 rush attempts; the Devils scored twice on 21. J. Allen (NJD) faced 28 shots and allowed five on 0.821 SV%, underperforming expected by 1.90. A. Nedeljkovic (SJS) stopped 29 of 31 (0.935 SV%), outperforming by 0.69—a stark contrast in the crease that essentially decided the game.

The Sharks held 48% of shot attempts (28 on goal, 31 against) and dominated the rebound battle with four opportunities created and one converted. The Devils' power play was sharp: two goals on six shots, a 0.42 xG rate that didn't match the result.

The stat that most disagreed with the scoreline: the Devils' inability to finish. Zero goals on five high-danger chances is unsustainable; the Sharks' finishing—1.90 goals above xG—is also an outlier heading forward.

The model projects a 2.5-2.5 game with the Sharks at 50% win probability—this is as close to a pick'em as you'll find. New Jersey arrives hotter, but San Jose's underlying numbers suggest the gap is narrower than recent results.

The Devils are 8-2-0 in their last 10, while the Sharks sit at -14 goal differential over the same stretch. Yet at 5v5, New Jersey's dominance is modest: 51.0% Corsi, 50.0% xG% versus San Jose's 47.0% Corsi and 48.0% xG%. The edge exists, but it's measured.

Regression looms for both teams. New Jersey's 0.971 PDO is running cold and due for positive correction. San Jose sits at 0.998, well above baseline, suggesting puck luck reversal would cut the other way. The Devils drive territorial control; expect them camped in San Jose's end. Whether that produces goals depends on whether their shooting returns to normal.

Both teams face goaltending complications. Y. Askarov and J. Markstrom are each on a back-to-back, raising the possibility of backup appearances or fatigued starters.

The Devils feature Jack Hughes (18G 17A, 11.5% shooting) and Timo Meier (1.08 xG/60, 13G 15A). Hughes's shooting rate is sustainable—no luck, no collapse. San Jose counters with Igor Chernyshov (0.91 xG/60, 6G 8A, 15.0% shooting) and Pavol Regenda (1.10 xG/60, 5G 1A, 16.1% shooting), though Regenda is marked likely out.

New Jersey's defensive liability is Johnathan Kovacevic. San Jose's is Igor Chernyshov. Neither team finds an edge on special teams.

Strip away the Devils' recent streak and you get two nearly matched squads. San Jose's -14 differential is noise over 10 games. The 2-point xG% gap is the real signal. The model knows it. The odds know it. This game could go either way.