The Blue Jackets underperformed their 3.58 expected goals by 2.58, scoring just once despite generating quality chances. This offensive drought explains the 4-1 loss to Carolina far better than the final scoreline alone.

The Hurricanes controlled the underlying play: 65% of expected goals (6.66–3.58), 57% of shot attempts (32–24), and a 15–5 high-danger chance advantage. Carolina was especially lethal in transition, converting 3 rush goals out of 35 opportunities.

Jordan Martinook's snap shot from the wing (P3, 18:45) was the turning point, but the game's defining feature was the Hurricanes' relentless dominance and Columbus's inability to execute.

Both goaltenders excelled beyond their underlying metrics. B. Bussi recorded 23 saves on 24 shots (0.958 SV%, +2.58 vs. expected); J. Greaves stopped 28 of 31 (0.903 SV%, +3.66 vs. expected). For Columbus, Greaves's plus-performance kept a lopsided game competitive—the Blue Jackets squandered all five high-danger chances.

Carolina capitalized efficiently. They underperformed their own 6.66 expected goals by 2.66 but still dominated because so much of the game occurred on their terms. The Hurricanes' 15 high-danger chances and overwhelming shot volume meant they didn't need elite conversion rates to put the game away.

The Hurricanes are 56% to win, with the model projecting a 2.5–2.8 goal defeat for Columbus. The numbers support this lean decisively. Carolina dominates in underlying play: 56.0% expected goals at even strength against Columbus's 52.0%, and 60.0% shot share. The Blue Jackets will spend stretches trapped in their own zone.

What tilts the math further is Carolina's PDO of 0.984. Running cold on league-adjusted shooting and goaltending, the Hurricanes are due for positive regression. Columbus offers no counterbalance—they're -9 in goal differential over their last ten games, a sign that both underlying play and results have finally aligned.

The offensive matchup breaks Carolina's way. Jackson Blake drives 1.06 expected goals per 60 minutes with 14 goals; Seth Jarvis adds 17 goals at 0.98 xG/60. Columbus's answer is Boone Jenner (0.98 xG/60, 11 goals, 21 assists) flanked by Mathieu Olivier, whose 12 goals and 13.3% shooting rate represent an outlier efficiency. Olivier's shooting isn't sustainable, while Blake's volume is.

J. Greaves on back-to-back creates a secondary angle: watch for a backup start or a tired starter.

Defensively, both teams show cracks. Charles Alexis Legault is Carolina's weak link; Conor Garland does the same for Columbus. Neither team has generated high-danger scoring at volume—both near zero on rebounds and hard goals—so shooting efficiency decides close moments.

The edge belongs to Carolina, powered by superior underlying play and the regression math working in their favor.