Columbus won 4-2, and the expected-goals scoreboard showed the same verdict—but goaltending variance obscured just how thoroughly they dominated. The Blue Jackets controlled 76% of 5v5 expected goals (6.23–2.00), a decisive advantage that should have looked worse than the two-goal final margin.

D. Rittich's save-percentage perfection explains the gap. The Islanders goalie stopped 3.23 goals above expected, finishing 31 of 34 saves at 0.912 SV%—numbers that steal points Columbus actually earned. Without that performance, the underlying numbers would have matched the scoreboard exactly.

Columbus built their advantage the right way. They held 57% of shot attempts (35–26) and converted their quality into high-danger chances at a 10–3 rate. More important: they generated 0.079 xG per shot, compared to New York's 0.036. Columbus generated more dangerous looks, not just more looks.

The Blue Jackets left efficiency on the ice despite that control. They underperformed their xG by 2.23 goals, meaning J. Greaves should have seen a higher final margin. Two goals came from low-danger spots—situations any opposing goalie needs to have. That's coaching execution: scoring from areas where Rittich couldn't bail out his team.

Columbus was lethal on transition, scoring twice on 33 rush chances and generating 9 rebound opportunities in volume that mattered. They attacked in sequences where the Islanders defense couldn't settle.

New York's offense: four rebound chances with one converted, and lower-danger looks on every metric. The Islanders never drove the play.

By the underlying numbers, Columbus won by more than the final suggested. Rittich's performance—90% SV on 10 high-danger shots—was the only reason the scoreboard didn't reflect the gap in dominance.

Columbus dominates even-strength play. The model projects a 2.5–2.8 game at 56% win probability for the Blue Jackets, built on a decisive underlying advantage: 52.0% expected goals and 51.0% possession (Corsi) versus the Islanders' 48.0% and 49.0%. New York's 0.993 PDO reveals underperformance; Columbus sits at 1.003, closer to league average.

The Offensive Picture

Anders Lee anchors New York's attack at 1.20 expected goals per 60 minutes, but his 6.4% shooting rate signals underperformance on 9 goals and 20 assists. Bo Horvat inverts that profile: 18 goals at 0.87 xG/60 and a 12.8% conversion rate, with only 3 high-danger goals suggesting his finish rate has outpaced his chance creation.

Columbus counters with Boone Jenner (0.98 xG/60, 11 goals, 21 assists, 2 high-danger) and Mathieu Olivier (0.89 xG/60, 12 goals at 13.3%, 1 high-danger). Both teams have gone scoreless on high-danger and rebound opportunities this season, a gap unlikely to persist.

The Defensive Liability

Alexander Romanov is New York's vulnerability; Conor Garland mirrors that problem for Columbus. Combined with the shot-quality and possession edges, the structural advantages tilt decisively toward the visitors.

Model, underlying metrics, and defensive matchups align on Columbus.