The Flames held more possession but lost to superior shot quality. They managed 43% of shot attempts, yet the Ducks' xG advantage (55%–45%, 3.77–3.03) proved decisive in a 3-2 overtime victory.

Both teams underperformed their expected goals—the Flames by 1.03 goals, the Ducks by 0.77. Both goaltenders exceeded their expected performance, with V. Husso adding 1.03 goals of value and D. Cooley adding 0.77. Yet the Ducks' superior shot quality proved the deciding factor.

The rush was where both teams found success. The Flames scored twice on 25 rush attempts; the Ducks scored twice on 23, suggesting both capitalized on speed-based opportunities.

The Ducks' special-teams play was sharp—2 power-play goals on 16 shots with 0.95 xG. Mikael Granlund sealed it in overtime at 04:59 with a slap shot from the high slot.

The model projects a 2.7–2.6 game with the Ducks at 52% win probability. This is about as close to a pick'em as you'll find.

The Ducks own the underlying play. They're generating 52.0% of expected goals at 5v5 to the Flames' 47.0%, and driving territorial advantage at 52.0% Corsi. But controlling shot volume doesn't always translate to controlling outcomes—both teams are running cold at the PDO line (Ducks 0.981, Flames 0.985), which means variance is due for a correction in both directions.

The back-to-back complicates matters. D. Wolf and L. Dostal are both starting their second consecutive night. If either gets pulled for a backup, the game's balance shifts. Even if they stay in, the shorter recovery window usually shows by the third period.

Beckett Sennecke is Anaheim's key scorer. He's earned 20 goals on 1.03 expected goals per 60 and 8 high-danger chances—his 13.5% shooting rate contains more luck than most, but he remains a consistent threat. Cutter Gauthier supports him at 0.99 xG/60 with 25 goals and 12.9% efficiency; his output is real even if it includes unsustainable variance.

Calgary's counter is Blake Coleman, running 0.89 xG/60 with 16 goals and 2 high-danger chances. He's shot 11.4%, closer to sustainable, but still above his underlying play. Matt Coronato has 10 goals on 0.80 xG/60 at 6.6% shooting—the weakest conversion rate in this peer set—which indicates variance has worked against him.

The defensive weak links are Mason McTavish for Anaheim and Matt Coronato for Calgary.

Both teams are equivalent: marginally better, marginally luckier, both regressing toward the mean. The model recognizes it. So should you.