The Sharks beat the Hurricanes 4-1 in a game the underlying numbers said was nearly even—expected goals favored Carolina 3.56–3.11, yet San Jose won by three. A. Nedeljkovic's 0.966 save percentage explained the gap.

The Hurricanes controlled play with 56% of shot attempts (29–23 on goal) and generated 6 high-danger chances to the Sharks' 5. Analytically, Carolina was competitive. In the result, it wasn't.

Nedeljkovic was immaculate on chances that mattered. He stopped 2.56 goals above expected and denied all 6 high-danger shots, a perfect record when San Jose's net was decided in that zone. P. Kochetkov couldn't match him—he finished 19/22 (0.864 SV%) on a night the Hurricanes needed everything.

San Jose won with efficiency. The Sharks averaged 0.078 expected goals per shot compared to Carolina's 0.042—a reflection of their higher-quality looks. On the rush, they were lethal: 2 goals on 22 chances. In the high-danger area, they converted 60% (3 of 5) while Carolina got nothing (0 of 6).

That cold streak for the Hurricanes—zero goals on six prime looks—is variance that won't repeat often. But on this night, they crashed the net and created 4 rebound opportunities without finish. The Sharks did.

M. Celebrini punctuated the dominance in his limited role, registering 1 goal and 2 assists in 18:12. His wrist shot from the doorstep in the third period marked the game's turning point. J. Klingberg (1G, 1A in 18:43) and A. Wennberg (1G, 1A in 18:36) formed the third-line finishers.

The model projects a 2.3-2.9 Sharks-Hurricanes score with Carolina at 60% win probability — backed by clear underlying advantages that the Sharks' recent form doesn't match.

The Hurricanes command 56.0% expected goals share at 5v5 (San Jose: 48.0%) and drive 60.0% Corsi, signaling both strategic superiority and puck possession dominance that compounds over 60 minutes. Carolina should control territory decisively.

The Sharks are underwater at -9 goal differential over their last 10 games, a collapse that makes today's matchup an uphill climb.

Carolina's PDO sits at 0.984 versus San Jose's 0.998 — a gap suggesting positive regression is due for the Hurricanes, especially with their dominant underlying metrics. Watch for Y. Askarov's status; a back-to-back may force a backup into the net or leave the starter running on fumes.

Among players to watch, Pavol Regenda leads San Jose with 5 goals and a 1.10 xG/60 rate, though he's marked as likely inactive for this matchup. Igor Chernyshov (0.91 xG/60, 6 goals, 15.0% shooting) remains a scoring threat. For Carolina, Jackson Blake (1.06 xG/60, 14 goals, 10.9% shooting) and Seth Jarvis (0.98 xG/60, 17 goals, 11.9% shooting) anchor the attack.

The Sharks' defensive vulnerability sits with Igor Chernyshov, while Carolina has exposed issues tracking Charles Alexis Legault. Neither team generates high-danger goals or rebound chances efficiently — both at 0% — so expect a tighter, lower-variance game than raw xG% alone suggests.

The xG advantage plus territorial control give Carolina the model's lean. Regression should reinforce that edge.