Backcheck
Recap · SJS at VGK

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

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

By the ModelJul 11, 9:50 PMxG: xgboost-0.758Edited for clarity
Away
SJS
San Jose Sharks
2
Home
VGK
Vegas Golden Knights
7
FINAL
Process vs result

The underlying story

2.43Expected goals4.21
63% share for the better side
23Shot attempts (SOG)26
4High-danger chances7
44Corsi (all attempts)48
Score-adjusted: 55% / 45%
Source · NHL play-by-play · XGBoost xG

Vegas didn't just beat San Jose—they overperformed their underlying numbers by 2.79 goals, turning a deserved 4.21 expected goals into a 7-2 blowout. That gap tells you everything about a lopsided game where one team's precision exceeded even its excellent play.

The Knights controlled the quality battle thoroughly. They held 63% of 5v5 expected goals (4.21–2.43), crushed San Jose on shot attempts (53%, 26–23), and won the high-danger chance battle 7–4. But execution was the real separator.

Vegas was clinical in the dangerous area: 43% on high-danger chances (3 of 7 converted), a lethal mark that punishes teams for defensive breakdowns. They were unstoppable on the rush—six goals on 28 chances—a rate that speaks to structure and speed that San Jose couldn't contain.

San Jose's underlying game wasn't awful, though. They generated higher-quality looks than their shot total suggested (0.055 xG per shot vs Vegas's 0.088), meaning they created dangerous moments despite being outplayed overall. But their goaltending couldn't salvage it. Y. Askarov gave up 1.41 more goals than expected; A. Nedeljkovic was 1.38 over. Both sank while their defense crumbled around them.

Vegas's C. Hart (21 saves, 0.913 SV%) barely needed to steal anything. The Knights crashed the net effectively, generating five rebound opportunities and converting one. San Jose created four rebounds and also converted one, but on a smaller possession sample.

The turning point came early: Collin Graf's wrist shot from the doorstep at 8:04 of the third. That goal felt emblematic—Vegas capitalizing on its advantages with ruthless efficiency while San Jose foundered trying to claw back.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS1 / 4 · 1.01 xG
VGK3 / 7 · 1.44 xG
Medium dangermid-range
SJS1 / 10 · 0.91 xG
VGK4 / 20 · 2.39 xG
Low dangerperimeter & point
SJS0 / 30 · 0.51 xG
VGK0 / 21 · 0.38 xG

VGK went 4-for-20 from medium danger on 2.39 expected goals — 1.6 above expected.

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

Finishing vs expected

expectedactual
SJS
2 G · 2.43 xG · -0.4
VGK
7 G · 4.21 xG · +2.8
012345678
Goalies · GSAx (goals saved above expected)
Y. AskarovSJS
-1.4
A. NedeljkovicSJS
-1.4
C. HartVGK
+0.4

SJS finished -0.4 against expected, VGK +2.8 — Y. Askarov (SJS) allowed 1.4 more goals than expected.

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

Shot diet

goalsshots
SJS
WRIST1/19
SNAP1/7
SLAP0/4
BACKHAND0/2
TIP IN0/2
BAT0/1
OTHER0/9
VGK
WRIST3/20
SNAP2/7
SLAP1/5
BACKHAND1/6
TIP IN0/4
BAT0/0
OTHER0/6
SJS
VGK
Off the rush
1 G on 18 · 1.61 xG
6 G on 28 · 3.07 xG
Off rebounds
1 G on 4 · 0.54 xG
1 G on 5 · 0.89 xG

Wrist shots carried the volume: SJS went 1-for-19, VGK 3-for-20. VGK scored 6 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
K. Korczak
#6 · D · VGK
0 G · 2 A · 0 SOG · 20:19 TOI · +1
P. Dorofeyev
#16 · R · VGK
0 G · 2 A · 5 SOG · 17:26 TOI
M. Marner
#93 · R · VGK
2 G · 0 A · 5 SOG · 16:53 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • SJS generated higher-quality looks than the shot total suggests.
  • Y. Askarov (SJS) gave up 1.4 goals more than expected — well below their workload.
  • VGK generated far more dangerous chances — 0.088 xG/shot vs 0.055. Quality over quantity.
  • VGK was clinical in the high-danger zone — 3/7 on HD chances (43%).
  • VGK was lethal off the rush — 6 goals on 28 rush chances.
  • VGK created 5 rebound opportunities (1 converted) — crashing the net effectively.
  • SJS created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • VGK outperformed their expected goals by 2.8 — elite finishing or lucky bounces.
Before the game — the model's pre-game read
Preview · SJS at VGK · 10:00 PM ET

The Golden Knights are the model's lean over the Sharks — with PDO regression in play

By the ModelJul 11, 9:49 PMEdited for clarity
Win probability

The model's lean

58%
VGK
Model favorite
42%
58%
SJS50VGK

VGK by 16 points of win probability — a clear lean. Projected score SJS 2.22.7 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

SJS← edge
edge →VGK
48.0%5v5 xG%54.0%
47.0%Corsi%52.0%
2.33xGF / 602.52
2.56xGA / 602.11
1.99Goals for / gm2.12
2.32Goals against / gm2.10
0.998PDO — luck, not skill0.983

VGK holds 6 of 6 process categories — and PDO (0.998 vs 0.983) says SJS has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.2–2.7 Vegas win at 58% probability. The underlying play backs the pick. Vegas dominates at 5v5: 54.0% expected goals versus San Jose's 48.0%, 52.0% Corsi versus 47.0%. That gap in volume and quality compounds.

The sharper edge is regression. Vegas's PDO of 0.983 shows a team running cold, due for positive variance. San Jose sits at 0.998.

Recent form favors Vegas. San Jose is -5 in goal differential over their last ten, evidence that underlying metrics haven't translated into results. The Sharks arrive tactically disadvantaged and out of form.

One wrinkle: C. Hart skates on a back-to-back. Monitor the goaltending call.

Players to Watch

San Jose

  • Pavol Regenda — 1.10 xG/60, 5G 1A, 2 HD goals, 16.1% shooting
  • Igor Chernyshov — 0.91 xG/60, 6G 8A, 1 HD goals, 15.0% shooting

Vegas

  • Brandon Saad — 0.91 xG/60, 3G 6A, 1 HD goals, 4.1% shooting
  • Tomas Hertl — 0.88 xG/60, 5G 17A, 1 HD goals, 4.3% shooting
Computed danger · scouting

Players to watch

SJS
Pavol Regenda5G 1A
1.10 xG/60 · 2 HD · 16.1% sh
Igor Chernyshov6G 8A
0.91 xG/60 · 1 HD · 15.0% 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