Pittsburgh controlled the shot volume. It didn't matter.

The Sharks won 6–5 in overtime despite the Penguins holding 58% of shot attempts (43–31 on goal). Expected goals split 5.16 to 5.37—near-even—explaining the paradox: Pittsburgh generated quantity, not quality. High-danger chances finished 9–9.

Y. Askarov stopped 38 of 43 shots (0.884 SV%), while A. Silovs allowed 6 on 31 (0.806 SV%), 0.63 below expected. That gap—goaltending underperformance against the volume—cost Pittsburgh.

The Penguins had dangerous moments: 3 goals on 30 rush chances, 1 goal on 6 rebounds, 3 power-play goals on 14 shots (1.31 xG). San Jose matched the power-play ruthlessness (3 goals on 17 shots, 1.23 xG) while converting 2 rush chances on 30 and 2 rebounds on 8.

John Klingberg's wrist shot from the slot at 2:57 of overtime ended it.

• #73 T. Toffoli (SJS) — 2G, 2A in 16:17
• #71 M. Celebrini (SJS) — 1G, 2A in 27:14
• #21 A. Wennberg (SJS) — 3A in 23:34

Pittsburgh dominates the underlying play. The model projects a 2.4–2.7 goal game with the Penguins at 55% win probability—a substantial edge in a matchup driven by shot quality and territorial control.

The gap is clearest at 5v5, where Pittsburgh generates 51.0% expected goals to San Jose's 48.0%. The Penguins control Corsi at 50.0% to 47.0%, a significant margin that forecasts a game tilted toward Pittsburgh's ice.

Form compounds the edge. The Penguins are underwater at -7 goal differential over their last 10 games; the Sharks are at -9. Both teams are struggling, but San Jose's decline is steeper.

Goaltending could inject variance. T. Jarry works on a back-to-back for Pittsburgh, as does A. Nedeljkovic for San Jose. A backup start or a tired starter in either crease could tighten what the model sees as a comfortable margin.

Rickard Rakell drives Pittsburgh's offense at 1.01 xG/60 with 13 goals and 13 assists, including 3 high-danger goals on 12.1% shooting. San Jose's primary threat, Pavol Regenda, carries 1.10 xG/60 with 5 goals and 1 assist—elite underlying metrics—but is marked inactive. Igor Chernyshov offers secondary scoring at 0.91 xG/60 with 6 goals and 8 assists on 15.0% shooting.

Filip Hallander, recalled to Pittsburgh's active roster at 1.28 xG/60, is likely unavailable pending further evaluation.

Pittsburgh's territorial edge and San Jose's injury toll should let the Penguins control the game's shape. The model sees a clear win; execution is the only obstacle.