Columbus' 5-1 scoreline masks a narrower underlying battle. Expected goals finished 3.27-2.49 in the Blue Jackets' favor—a 57-43 split that would normally forecast a 3-1 or 4-2 result. But elite finishes on one side and defensive entropy on the other created the gap.

J. Greaves' 0.966 save percentage carried the larger load, stopping 1.49 goals above expectation while facing 29 shot attempts. B. Bussi conceded 1.73 more than expected, unable to stem high-quality chances.

Columbus' shot profile was sharper: 0.054 xG per attempt versus Carolina's 0.040. On 30 attempts, that compounds. The Blue Jackets were clinical in high-danger territory (2/4, 50%) and lethal off the rush (4 goals on 27 chances). They added two power-play goals on ten shots—an outright domination.

Mathieu Olivier's wrist shot from the doorstep (P3, 07:38) crystallized the game's arc early in the third, pushing the advantage beyond recovery.

The projection gives Carolina 52% win probability in a 2.7-2.6 game — as close to even money as you'll find.

Carolina dominates underlying play. The Hurricanes generate 56.0% expected goals to Columbus' 52.0%, and control territory at 60.0% Corsi versus 51.0%. This is a meaningful possession edge that should yield first-period control and extended stretches in the Blue Jackets' end.

But Columbus carries a structural edge that can't be ignored. Its 1.003 PDO suggests above-average puck luck embedded in results; Carolina's 0.984 sits cold, pointing toward positive regression. This is the central tension: Carolina plays better hockey, but Columbus finishes better.

Jackson Blake drives Carolina's attack: 1.06 xG/60, 14G 19A, 2 HD goals at 10.9% shooting. He'll draw constant checking, leaving space for Seth Jarvis. Jarvis operates as the secondary threat — 0.98 xG/60, 17G 12A, 1 HD goals at 11.9% shooting.

Boone Jenner mirrors Jarvis' xG/60 (0.98) but plays setup artist for Columbus: 11G 21A with 2 HD goals and 9.6% shooting. Mathieu Olivier is the variance play — 0.89 xG/60, 12G 9A at 13.3% shooting, enough conversion to swing a low-event game on a clean transition.

Both teams are structure-first systems: 0% high-danger goal rate and 0% rebound rate across the board. Charles Alexis Legault represents Carolina's defensive liability; Conor Garland anchors a similar weak point for Columbus. Expect tightly managed minutes and the game decided by one team's ability to capitalize when chaos does emerge.

The model says pick'em. The advanced metrics say Carolina. The results say Columbus deserves to believe. Until the gap closes, this is a genuine coin flip.