Vegas won 6–1, but the underlying numbers tell a different story. Expected goals finished 3.44–2.95 in VGK's favor—essentially a coin flip. The 5-goal margin owes more to execution and bad luck than dominance.

VGK earned the edge in volume. They held 51% of shot attempts and 54% of expected goals, a respectable if unspectacular advantage. Where they separated was quality. VGK generated 5 high-danger chances to Calgary's 3, and converted at a brutal 40% rate in close. That ruthlessness defined the game far more than raw chance creation.

Goaltending swung this wildly. A. Hill (VGK) stopped 26 of 27 shots and saved 1.95 goals above expected—elite territory. But the real tale was D. Wolf (CGY), who surrendered 2.67 goals more than expected. He faced 19 shots and stopped 14. D. Cooley (CGY), pulled after one period, actually saved 2.4 goals above expected before Vegas ran away.

The turning point came early in the third, when Mark Stone fired from the doorstep at 2:37. Vegas was already ahead, but that goal crystallized the pattern: Vegas capitalized on marginal chances while Calgary let superior ones slip away.

J. Eichel orchestrated the offense with 4 assists in limited ice. M. Stone scored twice and added 2 more helpers in just over 13 minutes. M. Marner scored twice. Calgary's top talent created their expected goals, but the team couldn't finish—a gap that widened to 1.95 goals.

This is what elite finishing looks like: take a statistically close game, bury your chances, and let the scoreboard do the talking.

Vegas owns this game on the metrics. The model projects a 2.2–2.7 goal Vegas win with the Knights at 58% win probability, built on a structural advantage that should compound across 60 minutes.

At five-on-five, the gap is decisive: Vegas generates 54.0% expected goals to Calgary's 47.0%, a seven-point margin in shot quality. That territorial dominance shows up in Corsi too, where Vegas drives possession at 52.0% versus Calgary's 49.0%. When a team controls that much ice, it doesn't need spectacular individual performances to win—just time and pressure.

Both teams are running cold on PDO, the combined measure of shooting and save percentages. Vegas sits at 0.983, Calgary at 0.985, meaning both are scoring or preventing goals below the rate their underlying chances suggest they should. Regression typically favors whoever owns the play, and Vegas does.

Blake Coleman anchors Calgary's offense at 0.89 expected goals per 60 minutes with 16 goals and 12 assists, including 2 high-danger goals. His 11.4% shooting rate is unsustainable—he's due for negative regression. Matt Coronato provides secondary scoring at 0.80 xG/60 with 10 goals and 16 assists, but his 6.6% shooting rate signals he's been remarkably efficient. Coronato is also Calgary's defensive weak link.

Vegas counters with Brandon Saad (0.91 xG/60, 3 goals, 6 assists, 1 high-danger goal) and Tomas Hertl (0.88 xG/60, 5 goals, 17 assists, 1 high-danger goal). Both are generating chances at elite rates but scoring at rates well below league average—Saad at 4.1%, Hertl at 4.3%. If they sustain that shot generation, positive regression is inevitable. Rasmus Andersson is Vegas's defensive vulnerability on the opposite side.

The tactical mismatch is straightforward. Vegas will control play, generate volume, and benefit from PDO regression swinging in their favor. Calgary needs Coleman and Coronato to remain impossibly efficient while stealing territory they're unlikely to own. That's a difficult ask, and it's why the model favors Vegas.