The Blue Jackets generated the game's best odds—5.01 expected goals to the Bruins' 4.33—but lost 4-2, a gap widened entirely by execution and goaltending.

Columbus should have won by the underlying script. They forced 40 shot attempts to Boston's 23, created 9 high-danger chances to 7, and generated quality from rush plays (2 goals on 34 attempts). But they couldn't finish. A goose egg on 9 high-danger chances means three points left on ice—and they underperformed their xG by the full 3.01.

Boston's power was simpler: J. Korpisalo. He saved 2.76 goals above expected on 36 of 38 shots, posting a 0.947 save percentage that turned high-leverage chances into stops. On the nine high-danger looks alone, he was pristine—100% SV. That's not variance; that's a wall.

The game's turning point came from V. Arvidsson's snap from the point late in the first (19:27), a cold reminder that shot location beats volume. The Bruins' rush scoring—2 goals on 27 attempts—looked sloppy next to Columbus's pace, but it didn't need to be efficient. Korpisalo's work behind them made it irrelevant.

A. Fantilli and M. Marchment kept the Blue Jackets threatening (1G + 1A, 2A respectively), and Arvidsson's two-goal night proved Boston could find its spots even when pressed. But Columbus paid for profligacy. E. Merzlikins actually played above water (+1.33), a rare redemption in a loss—but he was never going to bail out a team that drew nine premium looks and converted zero. This was the Blue Jackets' game to steal. Korpisalo's brilliance kept it from happening.

The model projects a 2.6-2.5 Columbus victory with the Blue Jackets at 52% win probability—about as close to a pick'em as you'll find.

Columbus dominates the underlying play. At 5v5, the Blue Jackets out-shoot Boston 52.0% to 47.0% by expected goals and lead 51.0% to 49.0% in Corsi. That edge at the mechanics level is significant. But the Bruins are running hot on a PDO of 1.023; Boston should expect some regression. Columbus, at 1.003, sits much closer to league average.

The offense reveals where the teams diverge. Boone Jenner leads Columbus at 0.98 xG/60 with 11 goals, 21 assists, and 2 high-danger goals. Mathieu Olivier adds 0.89 xG/60, 12 goals, 9 assists, and 1 high-danger goal. Viktor Arvidsson, at 1.04 xG/60, matches Jenner's offensive profile but converts more efficiently—18 goals, 24 assists, and 2 high-danger goals. Tanner Jeannot, at 0.75 xG/60, posts 6 goals, 14 assists, and 2 high-danger goals.

Neither team has unlocked deep scoring from difficult areas. Columbus has converted at 0% from high-danger chances and 0% from rebounds this season; Boston's conversion rates sit at 0% as well. That cannot persist through a full game. Whoever catches the first bounce gains real leverage.

Shooting rates show a gap between output and underlying play. Jenner's 9.6% and Olivier's 13.3% suggest Columbus may be underperforming its volume. Arvidsson's 13.0% and Jeannot's 8.3% reveal more equilibrium on Boston's side. In a true pick'em, that variance becomes the deciding variable.

Defensively, Conor Garland represents a liability for Columbus, while Elias Lindholm does the same for Boston. Minimize that gap, win the game.