Chicago controlled 56% of expected goals at 5v5 and lost 3-2. San Jose won despite the quality battle favoring its opponent.

A. Nedeljkovic's goaltending proved decisive. The Sharks' goaltender posted 0.931 SV%, outperforming expected by 1.49 goals; S. Knight managed 0.870. On high-danger chances the teams were even at 7–7. San Jose scored 3 on 23 rush chances; Chicago generated 4 rebound opportunities and converted 1.

Frank Nazar's slap shot from the high slot (P3, 06:09) represented Chicago's clearest chance to tie. W. Eklund (SJS) had 1G, 1A in 15:03. M. Celebrini (SJS) had 1A in 22:05.

San Jose holds a 57% win probability in the model's projection of a 2.4-to-2.8-goal game — a meaningful edge built on superior underlying play. The Sharks generate 48.0% of expected goals at 5v5 to Chicago's 42.0%, a gap that translates to shot quality and opportunity creation even if recent results haven't matched. The Sharks' 47.0% Corsi reading slightly outpaces Chicago's 46.0%, reinforcing the pattern.

Both teams stumble into this matchup struggling. San Jose sits −11 in goal differential over its last 10 games; Chicago is worse at −14. Recent performance hasn't reflected the underlying structure — a finding that points to variance clouding the true play patterns, particularly for the Sharks' side.

Goaltending uncertainty clouds both contenders. Y. Askarov faces his second consecutive game on short rest; A. Soderblom does the same for Chicago. Either backup appearance or fatigue from a tired starter could shift the competitive balance. Pregame confirmations matter here.

Chicago's offensive load falls on Tyler Bertuzzi and Connor Bedard. Bertuzzi generates 0.85 expected goals per 60 minutes and has converted at 18.0%, producing 20 goals and 15 assists with 7 high-danger tallies. His output tracks his underlying metrics precisely. Bedard's 0.82 xG/60 sits marginally below Bertuzzi's, but his 11.8% shooting rate stands out — he's posted 17 goals and 27 assists while converting at an unusually low percentage from his opportunities.

San Jose's offense centers on Pavol Regenda at 1.10 xG/60 with 16.1% shooting, though he's likely out with an inactive designation. Igor Chernyshov provides secondary offensive output at 0.91 xG/60 with 6 goals and 8 assists, though he surfaces on San Jose's defensive weak-link list.

Anton Frondell surfaces as Chicago's primary defensive vulnerability. Neither team has registered high-danger or rebound goals at meaningful rates, indicating both defenses are effectively neutralizing secondary chances.

The underlying divergence is clear: Chicago's processes consistently lag. That gap builds confidence in San Jose's model advantage, suggesting the Sharks' 57% projection reflects true structural superiority. Form may reset, but the Sharks' edge in underlying play offers the more reliable path forward.