Columbus dominated the xG battle (3.31–2.71) and won 4-1, but the real mismatch was Ottawa's shot volume without the finishing: the Senators held 56% of attempts (28–22) yet trailed by three. They were active, not dangerous.

Ottawa's problem wasn't quantity—it was quality and execution. The Senators generated 5 high-danger chances to Columbus's 3, but finished just one goal. Worse: they underperformed their xG by 1.71 goals, leaving goalscoring opportunities on the table. J. Greaves (CBJ) saved 1.71 goals above expected; L. Meriläinen (OTT) yielded 0.69 below. The goaltending split was decisive.

Columbus converted efficiently. They had 0.070 xG per shot versus Ottawa's 0.045—a 55% edge in quality per chance. They scored two goals from low-danger spots, both plays any opposing goalie must stop. Their rush game was clinical: 2 goals on 21 chances, the kind of efficiency that sinks teams.

Kirill Marchenko's snap shot from the high slot (P3, 15:54) swung momentum early. D. Severson (1G, 1A in 18:41) drove the attack, while C. Coyle and C. Sillinger each picked up two assists—CBJ's depth made the difference.

Ottawa played a volume game and lost the quality game. That's a gap no shot count closes.

Ottawa owns this matchup on the numbers. The model projects a 2.4–2.7 goal game with the Senators at 55% win probability—a clean edge grounded in play quality, not luck.

Form backs the model. Ottawa is 5-4-1 over their last 10 games while Columbus has collapsed to a -9 goal differential over the same stretch. More importantly, the season-long underlying metrics align with this gap. Ottawa generates 56.0% of expected goals at even strength compared to Columbus's 52.0%, and controls broader play: 53.0% Corsi% versus 51.0%. The Senators don't just create more chances; they create better ones.

The one way Columbus stays in this game is through luck. Columbus runs a 1.003 PDO (the combined rate of shooting percentage and save percentage), slightly elevated, while Ottawa sits at 0.993—meaning the Blue Jackets have converted beyond their underlying play and the Senators are due for regression in their favor. That gap isn't massive, but in a tight game it reshuffles odds.

Both teams arrive at goaltending uncertainty: L. Meriläinen and J. Greaves are both on back-to-backs, so watch for either a backup start or a fatigued starter. Tired goalies punish possession teams faster than defensive ones.

When Ottawa executes, the game runs through Brady Tkachuk and Dylan Cozens. Tkachuk generates 1.19 expected goals per 60 minutes—elite volume—backed by 11 goals and 20 assists. He's finished 2 high-danger chances and shoots 7.5%; some correction looks likely. Cozens mirrors the threat: 1.00 xG/60, 13 goals, 15 assists, 1 high-danger goal at 9.5%. Both are creating at rates that demand defensive attention.

Columbus's response centers on Boone Jenner. He carries 0.98 xG/60 with 11 goals and 21 assists—the assist volume is legitimate, though 2 high-danger goals on that volume (9.6% shooting) hints he's been fortunate. Mathieu Olivier adds 0.89 xG/60, 12 goals, and 9 assists; his 13.3% shooting rate looks unsustainable and suggests regression incoming.

The defensive weak link: Conor Garland for Columbus, Nick Jensen for Ottawa. Neither team generates high-danger or rebound goals at rates that punish average defense, so this becomes a conversion game. That's where Ottawa's underlying advantage lives.

The model says yes, and the numbers back it.