The Sharks won 5–4 in a game the Ducks should have won. San Jose faced 5.42 expected goals against and generated just 1.76 — a 76–24 deficit that would sink most teams. Instead, superior goaltending and finishing depth flipped the result.

Y. Askarov's 0.905 save percentage translated to 1.42 goals saved above expectation. L. Dostal's 0.556 mark — split across two goalies mid-game — cost Anaheim dearly, allowing 2.78 goals beyond what the shot quality deserved. The Ducks generated more dangerous chances (7 high-danger opportunities to 3), but neither margin nor talent won the night. Execution and variance did.

The Ducks were objectively the better team in analytics: 42 shot attempts to 13, 0.065 expected goals per shot versus San Jose's 0.049. They crashed the net (9 rebound chances) and attacked off the rush (4 goals on 43 chances). Yet rush-play efficiency cuts both ways. The Sharks' 5 goals on 19 rush attempts eclipsed Anaheim's rate and proved decisive in the third period.

T. Terry (2 goals, 1 assist) and the Sharks' secondary scoring overcame the xG gap. M. Celebrini (1 goal, 2 assists) and A. Wennberg (2 assists) finished with authority. The Ducks' elite shot quality couldn't compensate for goaltending collapse — P. Mrazek's 3/4 saves offered no relief to his partner's subpar 38/42 night.

This was a heist: the xG equivalent of stealing a game on a shot-attempt deficit, salvaged by rush dominance and goaltending swings. Anaheim outplayed San Jose in every meaningful way except the one that appeared on the scoreboard.

The model projects a 2.5–2.8 goal game favoring Anaheim, with the Ducks at 56% win probability—a tight edge built on territorial control. Anaheim owns the underlying play at 5v5: 52.0% xG and 52.0% Corsi to San Jose's 48.0% and 47.0% respectively.

The wrinkle is a familiar one. Anaheim's -8 goal differential over their last ten games suggests recent struggles that contradict their strong underlying metrics. The culprit is PDO. The Ducks' 0.981 sits meaningfully below San Jose's 0.998, meaning Anaheim is running cold and primed for positive regression. When a team dominates play but loses games, the model expects luck to reverse.

Both goaltenders face back-to-back situations. L. Dostal for Anaheim and Y. Askarov for San Jose are candidates for backup starts or fatigue-worn performances, a variable that could shift a tight game.

On offense, Anaheim builds around Beckett Sennecke (20G, 1.03 xG/60, 8 high-danger chances, 13.5% shooting) and Cutter Gauthier (25G, 0.99 xG/60, 2 high-danger chances, 12.9% shooting). Sennecke's 1.03 xG/60 makes him the engine; watch his shot volume. Gauthier's 25 goals suggest efficiency, though his 2 high-danger tallies indicate opportunistic play.

San Jose's offense flows through Igor Chernyshov (6G, 0.91 xG/60, 1 high-danger chance, 15.0% shooting). Pavol Regenda, who posted 1.10 xG/60 and 2 high-danger goals, is marked likely out. Chernyshov's 15.0% shooting is elite and unsustainable; regression is coming.

Defensively, San Jose's Chernyshov doubles as a liability—the team's defensive weak link—while Anaheim's Mason McTavish holds that role. Chernyshov as both offensive catalyst and defensive sieve is the tension to track: if he generates chances but bleeds in transition, Anaheim's edge widens.

The verdict favors Anaheim. The underlying metrics are clean, and PDO regression is the play. If the Ducks finish half their high-danger chances, the low-60s projection becomes more comfortable. Watch for Sennecke's shot volume and whether San Jose's dual-goaltender uncertainty breeds breakdowns.