F. Gustavsson stole this game. The Minnesota goalie saved 1.53 goals above expected while Anaheim underperformed their xG by 1.53 goals—a 3-goal variance swing that lifted Minnesota from a one-goal edge into a 5-2 rout.

Minnesota controlled 59% of expected goals (5.09–3.53), a solid underlying advantage. The Wild were efficient on the rush, scoring 5 goals on 30 chances, while Anaheim held 45% of shot attempts (28–34) but couldn't finish quality looks.

Troy Terry's snap shot from the doorstep (17:27, third period) cut into the deficit, but Anaheim's 1.53-goal underperformance against their xG made the margin insurmountable. Both teams generated 6 rebound opportunities each without converting any, leaving Minnesota's goaltending excellence and scoring efficiency as the decisive difference.

Final: MIN 5 – ANA 2

The model projects a MIN 2.6 - 2.7 ANA game with the Ducks at 53% win probability. This is about as close to a pick'em as you'll find.

Minnesota has the form advantage: 7-1-2 in their last 10, while Anaheim sits at -17 goal differential over the same span. At 5v5, the teams are eerily matched. Both carry a 52.0% expected goal percentage. Corsi diverges: Anaheim drives play at 52.0% while the Wild check in at 48.0%, suggesting territorial dominance for the Ducks. Minnesota's PDO sits at 1.007—they're riding some luck. Anaheim's 0.981 reads as the inverse: they're running cold, and positive regression is likely incoming.

The Ducks' territorial advantage is substantial, but conversion has stalled. Minnesota's task is clear: don't let that possession advantage translate into sustained offensive pressure.

Matt Boldy carries the Wild's offensive load. His 0.89 xG per 60 minutes underlies 22 goals and 18 assists; five came from high-danger chances at a 13.7% shooting rate that suggests sustainable production. Robby Fabbri mirrors his expected goals (0.88 per 60) but has converted at just 6.9%—two goals on three assists—and is marked likely out.

For Anaheim, Beckett Sennecke leads. At 1.03 xG per 60, he's the most dangerous weapon on ice: 20 goals, 19 assists, eight from high-danger chances, 13.5% shooting. Cutter Gauthier (0.99 xG per 60, 25 goals, 16 assists) provides secondary volume, though only two of his goals came from high-danger spots—a signal that elite underlying metrics haven't fully translated into elite finishing. Minnesota must neutralize both.

For Anaheim, the priority is exploiting Matt Kiersted, Minnesota's defensive weak link, while shielding their own vulnerability: Mason McTavish. That said, McTavish's 25 goals complicate any defensive focus.

This game hinges on whether Anaheim converts their possession advantage into sustained pressure, and whether Minnesota's shooting luck—real or transient—persists. The model sees an even split, and the evidence supports it.