Calgary won 5–1 but controlled only 42% of expected goals—a reversal so extreme it reads as a theft. The Blue Jackets dominated the underlying play, holding 58% of xG at 5v5 and earning twice as many high-danger chances (7–4), yet walked away with one goal. This was goaltending and finishing executing perfectly in concert.

D. Wolf made 42 of 43 saves (0.977 SV%) and stopped 3.7 goals above expected—a performance that converted Calgary's narrow edge in shot quality (0.076 xG per shot to Columbus's 0.055) into a landslide. J. Greaves faced a heavier workload in a losing effort, stopping 21 of 25 but falling 0.60 goals short of expected.

The stat that broke: Columbus's inability to finish. The Blue Jackets went 0 for 7 on high-danger chances, squandering opportunities that should have compressed the margin. Calgary, meanwhile, scored twice from low-danger spots—exactly the kind of conversion rate that requires the opposing goalie to have an off night. Wolf did not.

Off the rush, Calgary was lethal: three goals on twenty attempts. This wasn't grinding—it was speed and precision. R. Andersson and J. Hanley each logged twenty-plus minutes and an assist, steadying the top line. N. Kadri scored once in 20:13, providing secondary punch. The goal-scoring was distributed enough that Columbus had no single defensive assignment to fix the bleeding.

The turning point arrived early: Mikael Backlund's wrist shot from the point at 19:11 in the third period set the tone for a team that would pile on. Once Calgary found separation, Columbus's dominant play on the scoreboard became irrelevant.

The projection model frames this as a 2.6–2.5 game with Columbus at 52% to win—as close to a statistical coin flip as the sport offers.

Columbus owns the underlying play. The Blue Jackets hold a 52.0% expected goals share at 5v5 against Calgary's 47.0%, and they're out-shooting the Flames 51.0% to 49.0% in Corsi. But recent form inverts the picture. Columbus has gone 6–4–0 over their last 10 games while Calgary has collapsed to -10 goal differential in the same stretch. The Flames are running cold.

That matters less if you believe in mean reversion. Calgary's PDO of 0.985 indicates the Flames are underperforming their underlying luck—positive regression is likely coming. Columbus sits at 1.003, suggesting their hot streak reflects actual underlying skill rather than variance. The Blue Jackets' edge is real but marginal.

The key performers amplify this split. Boone Jenner anchors Columbus with 0.98 expected goals per 60, 11 goals, and 21 assists, though a 9.6% shooting rate leaves limited upside. Mathieu Olivier is leaner at 0.89 xG/60 but has 12 goals on 13.3% shooting—dangerous when hot. Blake Coleman leads Calgary at 0.89 xG/60 with 16 goals, sustained by 11.4% shooting. Matt Coronato is the wild card: 0.80 xG/60 with 10 goals and 16 assists, but his 6.6% shooting rate hints at correction ahead.

Conor Garland represents Columbus's defensive vulnerability; Coronato is Calgary's equivalent.

Two evenly matched teams split between underlying advantage and momentum. Columbus has the edge, but only marginally. Expect a tight game.