Backcheck
Recap · VGK at PIT

Penguins shut out the Golden Knights, 5-0

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

By the ModelJul 12, 5:27 AMxG: xgboost-0.758Edited for clarity
Away
VGK
Vegas Golden Knights
0
Home
PIT
Pittsburgh Penguins
5
FINAL
Process vs result

The underlying story

2.04Expected goals2.39
54% share for the better side
22Shot attempts (SOG)22
2High-danger chances4
55Corsi (all attempts)47
Score-adjusted: 59% / 41%
Source · NHL play-by-play · XGBoost xG

The Penguins' 5-0 victory masks an ugly statistical truth: the underlying metrics suggested this game was nearly even. Expected goals were 2.39–2.04, a 54–46 split in Pittsburgh's favor. Shot attempts were perfectly even at 22 each. The scoreboard lied.

A. Silovs stole this game. The Penguins goaltender stopped 22 of 22 shots and outperformed his expected save percentage by 2.04 goals — the difference between a 5-2 game and this shutout. Meanwhile, A. Hill (VGK) gave up 2.61 goals above expected, surrendering five to Pittsburgh's 2.39 xG. The gap tilts hard toward variance rather than dominance.

Pittsburgh's advantage lay in shot quality, not volume. The Penguins generated 0.051 expected goals per shot against Vegas's 0.037. In the high-danger zone, Pittsburgh converted 2 of 4 scoring chances (50%) while Vegas converted 0 of 2. Pittsburgh also scored twice from low-danger spots — chances Vegas's goalie is expected to stop — and were lethal on the rush, scoring 4 goals on 22 rush chances.

Vegas created real opportunities. The Golden Knights drew 4 rebound chances but cashed none, suggesting desperation without reward. The turning point arrived early: Justin Brazeau's wrist shot from the top of the circles in the third period (14:59, P3) shifted momentum before Vegas could build on their underlying work.

The Penguins' clinical finishing masked a game that, by the numbers, could have gone either way.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
VGK0 / 2 · 0.40 xG
PIT2 / 4 · 0.89 xG
Medium dangermid-range
VGK0 / 11 · 0.97 xG
PIT1 / 10 · 0.92 xG
Low dangerperimeter & point
VGK0 / 42 · 0.67 xG
PIT2 / 33 · 0.59 xG

PIT went 2-for-33 from low danger on 0.59 expected goals — 1.4 above expected.

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

Finishing vs expected

expectedactual
VGK
0 G · 2.04 xG · -2.0
PIT
5 G · 2.39 xG · +2.6
0123456
Goalies · GSAx (goals saved above expected)
A. HillVGK
-2.6
A. SilovsPIT
+2.0

VGK finished -2.0 against expected, PIT +2.6 — A. Hill (VGK) allowed 2.6 more goals than expected.

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

Shot diet

goalsshots
VGK
WRIST0/20
SLAP0/6
TIP IN0/5
SNAP0/3
BACKHAND0/1
OTHER0/20
PIT
WRIST5/20
SLAP0/5
TIP IN0/3
SNAP0/1
BACKHAND0/1
OTHER0/17
VGK
PIT
Off the rush
0 G on 24 · 1.27 xG
4 G on 22 · 1.74 xG
Off rebounds
0 G on 4 · 0.53 xG
1 G on 2 · 0.31 xG

Wrist shots carried the volume: VGK went 0-for-20, PIT 5-for-20. PIT scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
E. Karlsson
#65 · D · PIT
0 G · 2 A · 1 SOG · 21:58 TOI · +2
B. Rust
#17 · R · PIT
1 G · 1 A · 2 SOG · 17:08 TOI
B. Kindel
#81 · C · PIT
1 G · 1 A · 3 SOG · 14:23 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • A. Silovs (PIT) stopped 2.0 goals above expected.
  • A. Hill (VGK) gave up 2.6 goals more than expected — well below their workload.
  • PIT generated far more dangerous chances — 0.051 xG/shot vs 0.037. Quality over quantity.
  • PIT was clinical in the high-danger zone — 2/4 on HD chances (50%).
  • PIT scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • PIT was lethal off the rush — 4 goals on 22 rush chances.
  • VGK created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • PIT outperformed their expected goals by 2.6 — elite finishing or lucky bounces.
  • VGK underperformed xG by 2.0 — wasted quality chances.
  • A. Silovs (PIT) saved 2.0 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · VGK at PIT · 1:00 PM ET

Golden Knights at Penguins: a genuine coin flip

By the ModelJul 12, 5:01 AMEdited for clarity
Win probability

The model's lean

51%
VGK
Model favorite
51%
49%
VGK50PIT

VGK by 2 points of win probability — effectively a coin flip. Projected score VGK 2.52.5 PIT; 18% chance it's tied after 60.

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

Tale of the tape

VGK← edge
edge →PIT
54.0%5v5 xG%51.0%
52.0%Corsi%50.0%
2.52xGF / 602.66
2.11xGA / 602.55
2.12Goals for / gm2.45
2.10Goals against / gm2.12
0.983PDO — luck, not skill1.012

VGK holds 4 of 6 process categories — and PDO (0.983 vs 1.012) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

This is a true toss-up. The model projects a 2.5-2.5 tie with the Golden Knights at exactly 50% win probability, leaving no reliable edge to exploit.

The Penguins enter as the hotter team on paper—7-1-2 in their last 10 games. But recent form masks deeper imbalance: Vegas owns the underlying play by a meaningful margin. The Golden Knights are running 54.0% expected goals at 5v5 versus Pittsburgh's 51.0%, and out-corsi them 52.0% to 50.0%.

This underlying advantage matters because it signals sustainable edge. Yet Vegas has been underperforming their true talent level. Their PDO sits at 0.983, a cold-running indicator that suggests regression toward better results is likely. Pittsburgh, conversely, sits at 1.012—they've been fortunate with bounces—though their recent win streak suggests they may have found genuine traction anyway.

The goaltending situation complicates both teams' preparation. S. Skinner faces a back-to-back start, and Pittsburgh may opt for a backup. A. Schmid also works a back-to-back for the visitors. Fatigue could determine more than it usually does.

For Vegas, Brandon Saad has been operating at high volume with 0.91 xG/60 and carries 3 goals and 6 assists, though he's marked likely out due to inactivity. Tomas Hertl remains active: 5 goals, 17 assists, and a 4.3% shooting rate that compounds his offensive threat.

Pittsburgh's scoring thrust hinges on Rickard Rakell, who has posted 13 goals and 13 assists while converting 12.1% of his opportunities. Filip Hallander was recalled to undergo further evaluation and testing but is listed as likely out. The Penguins' secondary scoring depth will thus face pressure to deliver.

Both teams show weak finishing discipline at the moment—each sitting at 0% hard-hit and rebound goal rates, a statistical oddity that won't sustain. Vegas's defensive structure is tested most by Rasmus Andersson; Pittsburgh's by Caleb Jones.

The edge here is razor-thin by design. Vegas has the process advantage; Pittsburgh has recent results. That's the entire game.

Computed danger · scouting

Players to watch

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
PIT
Filip Hallander0G 3A
1.28 xG/60 · 0 HD · 0.0% sh
Rickard Rakell13G 13A
1.01 xG/60 · 3 HD · 12.1% sh
Source · MoneyPuck skaters