The Blue Jackets beat the Devils 5–3, but the underlying numbers said the Devils deserved better. New Jersey held 57% of shot attempts (33–25) and led expected goals 4.20–3.51, yet left with nothing.

The gap was purely goaltending. E. Merzlikins stopped 30 of 33 shots and beat his xG model by 1.20 goals; J. Allen faced just 25 shots but gave up 1.49 more than expected, a split that swung nearly three goals in Columbus's favor.

The Devils were lethal in transition, scoring 3 times on 31 rush chances. The Blue Jackets matched them, scoring 4 times on just 21 rush attempts—an efficiency advantage that turned the tide. New Jersey's power play was dominant (2 goals on 23 shots, 1.48 xG), but it could not overcome the even-strength margin.

C. Coyle (1–2 in 20:27) and Z. Werenski (2 assists in 26:57) led Columbus's offense. Miles Wood's wrist shot from the high slot in period three (13:31) marked the turning point. N. Hischier (1–1 in 23:51) led New Jersey's charge.

This was a game where shot quality mattered less than shot conversion. The Devils created the better chances; the Blue Jackets simply scored more of theirs.

This is as close to a pick'em as the models get: 2.6 goals for Columbus, 2.6 for New Jersey, win probability split at 50-50.

The underlying shot metrics favor Columbus ever so slightly. The Blue Jackets hold a 52.0% expected goals share at 5v5, a full two percentage points above the Devils' 50.0%. Their Corsi rates match at 51.0% each. But that edge masks a deeper mismatch: Columbus is punching above its xG with a 1.003 PDO, while New Jersey is running cold at 0.971. The Devils are due for positive regression.

Columbus's recent form complicates the picture. Over their last 10 games, the Blue Jackets sit at minus-7 in goal differential. That's a significant drag on a team that, by underlying metrics, should be competitive here.

The goaltending question is worth watching. J. Markstrom is on a back-to-back and could either see a backup start or take the ice fatigued—either way, advantage unclear.

Columbus's offensive load falls on Boone Jenner (11 goals, 0.98 xG per 60 minutes, 9.6% shooting rate) and Mathieu Olivier (12 goals, 0.89 xG per 60, 13.3% shooting). Olivier's finishing rate is a red flag for reversion; Jenner's volume carries more stability. New Jersey counters with Timo Meier (13 goals, 1.08 xG per 60, 6.7% shooting) and Jack Hughes (18 goals, 0.88 xG per 60, 11.5% shooting). Hughes has paced the offense despite a lower expected output—unsustainable production from a blue-chip player.

Both teams generate heavy chances in uncommon ways. Columbus posts 0% of its scoring from high-danger plays and 0% from rebounds. The Devils mirror that: 0% high-danger, 0% rebound. Those zeros hide the real vulnerabilities. Conor Garland is Columbus's defensive weak link; Johnathan Kovacevic carries that burden for New Jersey.

The edge goes to New Jersey if regression arrives tonight. Until then, treat this like the toss-up it is.