Backcheck
Recap · CAR at VGK

Golden Knights run the Hurricanes off the ice on the underlying numbers

The Golden Knights earned it — the game and the expected-goals battle both.

By the ModelJul 11, 12:29 PMxG: xgboost-0.758Edited for clarity
Away
CAR
Carolina Hurricanes
1
Home
VGK
Vegas Golden Knights
4
FINAL
Process vs result

The underlying story

2.15Expected goals3.52
62% share for the better side
27Shot attempts (SOG)26
1High-danger chances7
62Corsi (all attempts)55
Score-adjusted: 58% / 42%
Source · NHL play-by-play · XGBoost xG

Vegas buried Carolina 4–1, but the scoreline understates the Knights' dominance. They controlled 62% of expected goals at 5-on-5 (3.52–2.15) despite outshooting the Hurricanes by just one attempt (26–27 on goal). The gap wasn't volume—it was precision. Vegas generated 0.064 expected goals per shot; Carolina managed 0.035. Nearly twice the efficiency.

High-danger chances spelled out the gap more bluntly: Vegas 7, Carolina 1. That's not randomness. That's creation meeting finish.

The Hurricanes underperformed their expected goals by 1.15. F. Andersen (0.880 SV%, +0.52 above expected) held firm in net, but Carolina's offense couldn't convert. Vegas's A. Schmid was the evening's showstopper: 0.957 save percentage with +0.83 goals saved above expected, a performance that locked in the Knights' efficiency advantage.

William Karlsson's wrist shot from the wing (third period, 18:23) marked the decisive moment.

Three Stars

  • #93 M. Marner (VGK) — 2A in 20:37
  • #49 I. Barbashev (VGK) — 1G, 1A in 14:31
  • #27 S. Theodore (VGK) — 1A in 23:58
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CAR0 / 1 · 0.21 xG
VGK2 / 7 · 1.95 xG
Medium dangermid-range
CAR1 / 13 · 1.32 xG
VGK1 / 9 · 0.98 xG
Low dangerperimeter & point
CAR0 / 48 · 0.62 xG
VGK1 / 39 · 0.58 xG

CAR went 0-for-48 from low danger on 0.62 expected goals — 0.6 left on the table.

Source · Backcheck xG model · NHL play-by-play
The luck layer

Finishing vs expected

expectedactual
CAR
1 G · 2.15 xG · -1.1
VGK
4 G · 3.52 xG · +0.5
012345
Goalies · GSAx (goals saved above expected)
F. AndersenCAR
+0.5
A. HillVGK
+0.3
A. SchmidVGK
+0.8

CAR finished -1.1 against expected, VGK +0.5 — A. Schmid (VGK) saved 0.8 goals above expected.

Source · Backcheck xG model
What they shot — and what went in

Shot diet

goalsshots
CAR
WRIST1/28
SNAP0/1
BACKHAND0/2
SLAP0/5
BAT0/1
TIP IN0/0
OTHER0/25
VGK
WRIST3/22
SNAP0/9
BACKHAND1/4
SLAP0/1
BAT0/0
TIP IN0/1
OTHER0/18
CAR
VGK
Off the rush
1 G on 24 · 1.81 xG
3 G on 24 · 2.33 xG
Off rebounds
0 G on 0 · 0.00 xG
0 G on 3 · 0.25 xG

Wrist shots carried the volume: CAR went 1-for-28, VGK 3-for-22. VGK scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Marner
#93 · R · VGK
0 G · 2 A · 0 SOG · 20:37 TOI · +2
I. Barbashev
#49 · L · VGK
1 G · 1 A · 2 SOG · 14:31 TOI · +2
S. Theodore
#27 · D · VGK
0 G · 1 A · 1 SOG · 23:58 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • CAR generated higher-quality looks than the shot total suggests.
  • VGK generated far more dangerous chances — 0.064 xG/shot vs 0.035. Quality over quantity.
  • VGK was lethal off the rush — 3 goals on 24 rush chances.
  • VGK created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • A. Hill (VGK) saved 2.1 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · CAR at VGK · 10:00 PM ET

Hurricanes at Golden Knights: a genuine coin flip

By the ModelJun 16, 3:13 PMEdited for clarity
Win probability

The model's lean

50%
CAR
Model favorite
50%
50%
CAR50VGK

CAR by 0 points of win probability — effectively a coin flip. Projected score CAR 2.52.5 VGK; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season profile · edge from the spine

Tale of the tape

CAR← edge
edge →VGK
56.0%5v5 xG%54.0%
60.0%Corsi%52.0%
2.98xGF / 602.52
2.31xGA / 602.11
2.26Goals for / gm2.12
1.95Goals against / gm2.10
0.984PDO — luck, not skill0.983

CAR holds 5 of 6 process categories — and PDO (0.984 vs 0.983) says CAR has run hotter.

Source · MoneyPuck season tables · 5v5

The model calls this a dead heat: CAR 2.5, VGK 2.5, 50% win probability each. This is about as close to a pick'em as you'll find.

On the underlying numbers, Carolina owns legitimate territorial dominance. Their 60.0% Corsi means they'll control play; Vegas counters with a 54.0% xG%, indicating sharper danger quality but fewer opportunities. The territorial edge is genuine; the gap isn't insurmountable.

Both teams are running cold on luck. Carolina's 0.984 PDO and Vegas's 0.983 PDO tell the same story — puck luck has turned against each team equally. Whichever team capitalizes on positive regression first could steal this.

Goaltending injects real uncertainty. Both A. Hill and B. Bussi are on back-to-backs, forcing a roster decision: fresh backup or fatigued starter? That choice, more than matchup advantage, could tip the scale.

The skill matchup favors Carolina but not decisively. Jackson Blake (1.06 xG/60, 14G 19A, 10.9% shooting) and Seth Jarvis (0.98 xG/60, 17G 12A, 11.9% shooting) are the higher-ceiling threats — Blake in particular generating elite volume. Vegas counters with Brandon Saad (0.91 xG/60, 3G 6A, 4.1% shooting) and Tomas Hertl (0.88 xG/60, 5G 17A, 4.3% shooting), who offer depth and playmaking instead of individual firepower. On a neutral night, Carolina's top two are more dangerous; on a night when Vegas's supporting cast finds form, the gap narrows.

The defining factor: can Carolina's shot volume translate to finish? Vegas's xG% indicates they're getting their looks; they're just not converting at Blake's rate. If Vegas gets goaltending luck, they stay competitive. If Carolina's Corsi dominance becomes sustained offensive pressure, this becomes one-sided.

There's no hidden edge — just two evenly matched teams where outcome hinges on execution and variance rather than talent gap.

Three Things to Watch

  • Will Carolina's 60.0% Corsi dominance translate to goals, or will Vegas's xG% and fresher goaltending hold the line?
  • How does the back-to-back goaltending situation resolve for both teams?
  • Whether Blake and Jarvis can assert their will early or if Vegas's depth can steal possession time.
Computed danger · scouting

Players to watch

CAR
Jackson Blake14G 19A
1.06 xG/60 · 2 HD · 10.9% sh
Seth Jarvis17G 12A
0.98 xG/60 · 1 HD · 11.9% sh
VGK
Brandon Saad3G 6A
0.91 xG/60 · 1 HD · 4.1% sh
Tomas Hertl5G 17A
0.88 xG/60 · 1 HD · 4.3% sh
Source · MoneyPuck skaters