Backcheck
Recap · VAN at VGK

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

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

By the ModelJul 12, 4:11 AMxG: xgboost-0.758Edited for clarity
Away
VAN
Vancouver Canucks
2
Home
VGK
Vegas Golden Knights
5
FINAL
Process vs result

The underlying story

1.76Expected goals3.32
65% share for the better side
23Shot attempts (SOG)31
3High-danger chances4
44Corsi (all attempts)53
Score-adjusted: 50% / 50%
Source · NHL play-by-play · XGBoost xG

Vegas' 5–2 scoreline exceeded what their underlying numbers predicted. The Golden Knights controlled 65% of 5v5 expected goals (3.32–1.76) and 57% of shot attempts (31–23), but overperformed their xG by 1.68 — elite finishing that amplified their already significant advantage.

The gap stems from quality. Vegas generated 0.063 expected goals per shot; Vancouver managed 0.040. The Golden Knights were clinical in the high-danger zone, converting 2 of 4 chances (50%), and lethal on the rush — four goals on 29 chances.

Goaltending widened the margin. K. Lankinen faced 31 shots and stopped 26, a 0.839 save percentage that fell 1.68 goals short of expectation. A. Schmid was efficient: 21 saves on 23 shots, a 0.913 SV%, tracking above league average.

The turning point arrived early. Alexander Holtz's snap shot from the slot (P3, 03:31) set the tone.

Vegas' rush dominance and clinical finishing amplified their underlying advantage. Vancouver's respectable shot volume couldn't overcome the quality gap.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
VAN0 / 3 · 0.59 xG
VGK2 / 4 · 0.87 xG
Medium dangermid-range
VAN1 / 6 · 0.54 xG
VGK3 / 17 · 1.83 xG
Low dangerperimeter & point
VAN1 / 35 · 0.63 xG
VGK0 / 32 · 0.61 xG

VGK went 3-for-17 from medium danger on 1.83 expected goals — 1.2 above expected.

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

Finishing vs expected

expectedactual
VAN
2 G · 1.76 xG · +0.2
VGK
5 G · 3.32 xG · +1.7
0123456
Goalies · GSAx (goals saved above expected)
K. LankinenVAN
-1.7
A. SchmidVGK
-0.2

VAN finished +0.2 against expected, VGK +1.7 — K. Lankinen (VAN) allowed 1.7 more goals than expected.

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

Shot diet

goalsshots
VAN
WRIST2/21
SNAP0/4
SLAP0/4
TIP IN0/1
BACKHAND0/2
DEFLECTED0/1
WRAP AROUND0/0
OTHER0/11
VGK
WRIST4/28
SNAP1/5
SLAP0/2
TIP IN0/4
BACKHAND0/2
DEFLECTED0/1
WRAP AROUND0/2
OTHER0/9
VAN
VGK
Off the rush
1 G on 19 · 1.17 xG
4 G on 29 · 2.55 xG
Off rebounds
0 G on 1 · 0.04 xG
1 G on 1 · 0.19 xG

Wrist shots carried the volume: VAN went 2-for-21, VGK 4-for-28. VGK scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
J. Eichel
#9 · C · VGK
1 G · 1 A · 5 SOG · 19:07 TOI · +2
M. Stone
#61 · R · VGK
0 G · 2 A · 3 SOG · 17:16 TOI · +2
T. Blueger
#53 · C · VAN
0 G · 2 A · 2 SOG · 17:07 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • K. Lankinen (VAN) gave up 1.7 goals more than expected — well below their workload.
  • VGK generated far more dangerous chances — 0.063 xG/shot vs 0.040. Quality over quantity.
  • VGK was clinical in the high-danger zone — 2/4 on HD chances (50%).
  • VGK was lethal off the rush — 4 goals on 29 rush chances.
  • VGK outperformed their expected goals by 1.7 — elite finishing or lucky bounces.
Before the game — the model's pre-game read
Preview · VAN at VGK · 10:00 PM ET

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

By the ModelJul 12, 4:10 AMEdited for clarity
Win probability

The model's lean

61%
VGK
Model favorite
39%
61%
VAN50VGK

VGK by 22 points of win probability — a clear lean. Projected score VAN 2.22.8 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

VAN← edge
edge →VGK
44.0%5v5 xG%54.0%
46.0%Corsi%52.0%
2.22xGF / 602.52
2.81xGA / 602.11
1.60Goals for / gm2.12
2.56Goals against / gm2.10
0.974PDO — luck, not skill0.983

VGK holds 6 of 6 process categories — and PDO (0.974 vs 0.983) says VGK has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects Vegas to win by 2.2 to 2.8 goals with the Golden Knights at 61% win probability. The edge is structural: Vegas dominates in scoring chances at 54.0% expected goals, while Vancouver manages just 44.0%. The Knights drive Corsi at 52.0%—they should dominate territorial play.

The wrinkle: both teams are running ice-cold on shooting. Vegas sits at 0.983 PDO, Vancouver 0.974. PDO regression cuts both ways. Vegas's margin could expand if their goaltending improves and they bury their chances; Vancouver's could shrink further if their drought continues.

Vancouver enters desperate. Over their last 10 games, the Canucks are -17 in goal differential—a chasm that undermines their numbers. That gap between solid metrics and poor results is the kind of thing that corrects sharply, for better or worse.

On the ice, Filip Chytil anchors Vancouver's attack at 1.03 xG per 60 but sits at just 3 goals on 15.0% shooting—room for positive regression. Drew O'Connor (0.85 xG/60, 13 goals, 11.8% shooting) has already converted at a brisk pace, suggesting his run is more sustainable.

For Vegas, Brandon Saad (0.91 xG/60, 3 goals, 4.1% shooting) and Tomas Hertl (0.88 xG/60, 5 goals, 4.3% shooting) generate steady chances without unsustainable conversion rates. If Vegas's edge in play persists, both should find the net tonight.

The model likes Vegas because of the underlying advantage. But Vancouver's form over their last 10 is bad enough that even a PDO correction might not save them if they can't win possession battles.

Players to Watch:

  • Filip Chytil (VAN) — 1.03 xG/60, 3G, 0A, 1 HD goal, 15.0% shooting
  • Drew O'Connor (VAN) — 0.85 xG/60, 13G, 11A, 3 HD goals, 11.8% shooting
  • Brandon Saad (VGK) — 0.91 xG/60, 3G, 6A, 1 HD goal, 4.1% shooting
  • Tomas Hertl (VGK) — 0.88 xG/60, 5G, 17A, 1 HD goal, 4.3% shooting
Computed danger · scouting

Players to watch

VAN
Filip Chytil3G 0A
1.03 xG/60 · 1 HD · 15.0% sh
Drew O'Connor13G 11A
0.85 xG/60 · 3 HD · 11.8% 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