The Bruins won 2–1 despite having fewer shot attempts—they managed just 22 to Carolina's 29—but controlled the game in every meaningful way. They dominated expected goals 3.23 to 2.52 (56–44%) and high-danger chances 6–1.

The difference was efficiency. The Bruins generated 0.065 expected goals per shot; the Hurricanes, 0.039. Quantity meant nothing. Boston turned fewer opportunities into better ones.

Both goalies exceeded their expected performance. F. Andersen (CAR) saved 20 of 22 shots and stopped 1.23 goals above expected. J. Swayman (BOS) made 28 of 29 and saved 1.52 goals above expected. The Hurricanes' higher shot volume suggested they had a path to victory—and F. Andersen's defense on high-danger chances (100% SV% on 6 shots) held the door shut. But Swayman was the thief.

The Hurricanes underperformed their xG by 1.52 goals, wasting quality chances. The Bruins, meanwhile, were lethal off the rush, converting 2 goals on 27 rush attempts. On high-danger chances, Boston went 0–for–6—an outlier that won't repeat.

The turning point: Alexander Nikishin's slap shot from the top of the circles in the third period at 17:11.

The model projects a 2.8–2.5 Carolina victory with the Hurricanes at 56% win probability. The edge lives in possession and a regression narrative favoring Carolina's luck.

Carolina has won 7 of its last 10 games while Boston carries a negative-9 goal differential over the same stretch. The underlying disparity is stark: 56.0% expected goals at 5v5 to Boston's 47.0%, reflected in 60.0% Corsi to Boston's 49.0%. Carolina's territorial dominance is not accidental.

The leverage comes from PDO. Boston is running at 1.023—flushed with puck luck—while Carolina sits at 0.984, substantially cold. Regression favors the team starved of luck, which is Carolina. That convergence is the model's edge.

The matchup turns on Carolina's forward volume. Jackson Blake generates 1.06 expected goals per 60 minutes with 14 goals and 19 assists on a 10.9% shooting rate; he has 2 high-danger goals. Seth Jarvis carries 0.98 xG/60, 17 goals, 12 assists, and 11.9% shooting with 1 high-danger goal. Both are shooting at elevated rates—likely unsustainable. Boston answers with Viktor Arvidsson at 1.04 xG/60, 18 goals, 24 assists, and 13.0% shooting; he's logged 2 high-danger goals. Tanner Jeannot generates only 0.75 xG/60 but has 6 goals and 14 assists with 2 high-danger conversions despite 8.3% shooting, evidence of positioning over luck.

Neither team has converted rebounds or high-danger chances at scale this season—both at 0%. Execution from volume matters more than fortune. Carolina's Charles Alexis Legault and Boston's Elias Lindholm will face elevated ice time—neither a luxury matchup. The margin likely emerges from who sustains their underlying process most cleanly.