S. Knight nearly stole this game—his 0.897 save percentage on 39 shots (+2.89 versus expected) was the margin between a decisive rout and a close contest. The Devils beat the Blackhawks 5-3 but had to work for it against elite goaltending.

The underlying numbers otherwise backed New Jersey's dominance. They controlled 60% of 5v5 expected goals (6.89–4.60) and held 56% of shot attempts (40–31 on goal). High-danger chances tilted 11–8 in their favor.

Both teams left goals on the table. The Devils underperformed their xG by 1.89, squandering quality chances. Chicago underperformed by 1.60—a wasted opportunity to stay closer on the scoreboard.

New Jersey's offensive edge came on the rush. They converted 5 of 34 rush chances into goals; Chicago managed 3 of 34. The Devils also crashed the net effectively, creating 13 rebound opportunities, though none found the back of the net. J. Allen (28/31 saves, 0.903 SV%) was solid but less dramatic than his counterpart.

Jack Hughes carried the offensive load for New Jersey—his wrist shot from the top of the circles (P3, 19:29) set the turning point early. Hughes finished with 2 goals and 2 assists in 22:12. N. Hischier added 2 assists in 21:25 for New Jersey's secondary production.

For Chicago, F. Nazar scored twice in 19:00, bringing aggression but not enough to overtake a team that executed better at even strength.

The model projects a 2.3–2.8 range for this matchup, with New Jersey at 59% win probability. The Devils' advantage rests on a substantial edge in the underlying play.

Chicago enters this disadvantaged. The Blackhawks carry -14 goal differential over their last ten games and own just 42.0% expected goals and 46.0% Corsi at 5v5—metrics that indicate persistent territorial pressure they're not generating. Anton Frondell's defensive vulnerabilities compound the gap, offering New Jersey opportunities to convert possession into scoring chances.

New Jersey commands the game's tempo. The Devils sit at 50.0% xG and 51.0% Corsi, which means sustained puck pressure and higher-quality shots. This reflects roster construction and execution, not variance. Johnathan Kovacevic presents a weakness on the back line, though not one severe enough to flip the macro advantage.

The Devils are also running cold. Their 0.971 PDO means they're underperforming their underlying shot metrics—a regression floor that normalizes. When it does, New Jersey's goal rate climbs accordingly.

J. Markstrom enters on a back-to-back. Whether Chicago faces him or a backup, the situation offers a narrow margin for Chicago to exploit with flawless execution in transition.

Players to Watch

Chicago: Tyler Bertuzzi (20G, 0.85 xG/60, 18.0% shooting) carries the offensive load at elite volume. Connor Bedard (17G, 0.82 xG/60, 11.8% shooting) operates at similar expected goal production but with a lower shooting rate, indicating tighter circumstances for his goals.

New Jersey: Timo Meier (13G, 1.08 xG/60, 6.7% shooting) leads shot generation despite a limited goal total—a sign of bad luck rather than bad skill. Jack Hughes (18G, 0.88 xG/60, 11.5% shooting) is more efficient but operates within a more constrained volume window.

The 5v5 play gap between these teams is substantial enough to act on. Chicago needs goaltending luck and precision to bridge it. The model's 59% Devils lean deserves your trust.