San Jose heisted this one. Minnesota controlled 57% of expected goals at 5v5 (3.52–2.62), outplaying San Jose in every measure that predicts winners — yet the Sharks walked out with the shootout victory. That gap requires elite goaltending.

Y. Askarov provided it. The Sharks' goalie made 20 saves on 23 shots for a 0.870 SV%, overperforming his expected save percentage by 0.52 goals. More importantly, he stopped all 6 high-danger Minnesota chances — the game's margin. J. Wallstedt (MIN) made 25 saves on 28 shots (0.893 SV%), a strong performance that still fell short when it mattered.

San Jose held 55% of shot attempts (28–23 on goal), but Minnesota generated the quality. The Wild created 6 high-danger chances to San Jose's 4 and converted zero — a rarity that won't repeat. San Jose scored 3 goals from low-danger spots, the kind Askarov should have stopped but didn't.

Both teams were equally dangerous off the rush: 3 goals each on 25 chances. Neither converted their rebound opportunities (San Jose created 3, Minnesota 4). William Eklund's wrist shot from the high slot in the shootout determined it.

The model projects a 2.6–2.5 score favoring Minnesota, with the Wild at 51% win probability. This is about as clean a pick'em as exists.

Minnesota's edge comes from controlling the play. The Wild own 52.0% of expected goals at 5v5 to San Jose's 48.0%, a modest but consistent advantage that underpins the narrow model projection. Corsi% widens slightly in Minnesota's favor (48.0% to 47.0%), though the parity in underlying metrics reflects how close this matchup truly is.

The difference between these teams will come down to execution, not volume. Minnesota's weapons start with Matt Boldy, who generates 0.89 expected goals per 60 minutes and carries 22 goals and 18 assists with a 13.7% shooting rate and 5 high-danger goals. Robby Fabbri sits close behind at 0.88 xG/60, though he's converted just 2 goals on 3 assists with only 1 high-danger goal so far—a 6.9% shooting rate that suggests either variance or opportunity.

San Jose counters with Pavol Regenda, whose 1.10 xG/60 represents the highest offensive output in this matchup. He's scored 5 goals and 1 assist with 2 high-danger goals. Regenda's 16.1% shooting rate implies efficiency that may not hold, but his volume is undeniable. Igor Chernyshov posts 0.91 xG/60 with 6 goals and 8 assists, including 1 high-danger goal, and a 15.0% shooting rate that points to clinical finishing.

Where each team breaks down defensively remains vague—Minnesota lists Matt Kiersted as a weak link, while San Jose names Igor Chernyshov in that role, though the data here is sparse. Neither team has converted high-danger chances at notable rates this season, which flattens the game further toward luck.

The Wild's 51% edge in the model is your only real signal. Take it or leave it.