Buffalo's 8-4 victory looks lopsided, but the underlying metrics suggest otherwise. Expected goals split 3.60–3.95 in Ottawa's favor, yet the Sabres overperformed their share by 4.40 goals — elite execution that closed the expected gap and delivered a rout.

Buffalo didn't dominate raw volume. Shot attempts were 27-37 in Ottawa's favor, and high-danger chances went 4-5 in a marginal split. What mattered was efficiency. Buffalo generated 0.086 expected goals per shot; Ottawa produced 0.051. That difference was the game.

The gap widened on rush conversions. Buffalo buried six goals on 19 rush chances; Ottawa scored three on 27. Buffalo's power play sealed it: three goals on seven shots (0.53 xG), clinical when stakes matter.

Goaltending decided the margin. L. Meriläinen stopped 19 of 26 (0.731 save percentage), finishing 3.40 goals worse than expected — a historic underperformance. A. Lyon answered with 33 of 37 (0.892 SV%), steady excellence that sustains a blowout.

Buffalo's depth showed in the assist column. Z. Benson led with four assists in 16:52, followed by J. Spence with three in 17:59 and J. Doan with three in 13:55 — multiple contributors, minimal ice time.

The model calls this a toss-up: Senators 2.6 goals, Sabres 2.5, Buffalo at 47% to win. The underlying metrics explain why.

Ottawa owns the territorial advantage by a healthy margin. Their 56.0% 5v5 expected goals share and 53.0% Corsi rate means they'll spend the game in Buffalo's end, generating more quality chances than they allow. Buffalo, by contrast, sits at 50.0% xG and 49.0% Corsi—genuine second-fiddle territory. That's the kind of control that usually translates to wins.

But form tells a different story. Buffalo is -6 on goal differential over their last 10 games; Ottawa is worse at -13. Both are getting outscored when it matters. Buffalo's 1.020 PDO suggests they've been luckier than they deserve—shooting and save percentage inflated—which means regression is incoming.

Brady Tkachuk drives Ottawa's offense. He generates 1.19 expected goals per 60 minutes, has 11 goals and 20 assists, and has converted at just 7.5% despite 2 high-danger chances. That shooting rate is suppressed; if it normalizes even slightly, he becomes a consistent net-positive. Dylan Cozens, meanwhile, sits at 1.00 xG/60 with 13 goals—his 9.5% shooting rate is well-positioned to sustain.

For Buffalo, Jason Zucker leads the way. He's at 1.07 xG/60 with 14 goals on a 15.1% shooting clip, boosted by 6 high-danger chances. That conversion rate is likely unsustainable; he's been more efficient than the underlying play suggests he should be. Josh Doan rounds out the offense at 1.01 xG/60 with 15 goals and 11.5% shooting—also riding luck.

The real tension: Ottawa controls the game, but both teams are regressing. Ottawa's process is superior. Buffalo's luck is running out. And yet here's the coin flip: Ottawa's own luck deficit (-13 goal differential against decent underlying play) means they're overdue for positive variance, while Buffalo's luck is already exhausted. In a matchup this tight, that's the only edge.

Three Things to Watch

• Does Tkachuk's shooting rate normalize? At 7.5%, even modest regression lifts Ottawa's scoring.
• Zucker's unsustainable pace—15.1% shooting won't last; the question is when it corrects.
• Ottawa's territorial control (53.0% Corsi) should yield goals. Buffalo's defense has to tighten up significantly.