Backcheck
Recap · VGK at SEA

Kraken edge the Golden Knights in a shootout

The Kraken stole one. They lost the expected-goals battle 3.96–3.24 and won anyway.

By the ModelJul 12, 11:10 AMxG: xgboost-0.758Edited for clarity
Away
VGK
Vegas Golden Knights
3
Home
SEA
Seattle Kraken
4
FINAL / OT
Process vs result

The underlying story

3.96Expected goals3.24
55% share for the better side
35Shot attempts (SOG)33
3High-danger chances4
65Corsi (all attempts)70
Score-adjusted: 44% / 56%
Source · NHL play-by-play · XGBoost xG

The underlying numbers favored Vegas, but Seattle's goaltending and a shootout winner rewrote the script. The Kraken beat the Golden Knights 4–3 despite being outshot in expected goals, 3.24–3.96.

Vegas generated higher-quality chances—0.061 expected goals per shot versus Seattle's 0.046—and held a 55–45 xG advantage. Yet the Kraken controlled shot volume at 48% (33–35 on goal) and converted high-danger chances more ruthlessly: 4–3 over the Knights.

J. Daccord (SEA) stopped 32 of 35 shots (0.914 SV%), outperforming his xG model by 0.96 goals. A. Hill (VGK) made 30 saves on 33 shots (0.909 SV%). Seattle also squeezed more from chaos: they created four rebound opportunities despite converting none, a sign of aggressive net-front play.

Both teams were lethal on the rush, each scoring three goals from transitions (Seattle on 39 attempts, Vegas on 35). Neither team could finish at even strength, forcing a shootout where Berkly Catton's wrist shot decided it.

Vegas dominated analytically. Seattle won the game. Daccord was sharper than Hill, and Catton's goal merely confirmed Seattle's edge in execution.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
VGK2 / 3 · 1.08 xG
SEA1 / 4 · 0.85 xG
Medium dangermid-range
VGK1 / 17 · 2.05 xG
SEA1 / 17 · 1.58 xG
Low dangerperimeter & point
VGK0 / 45 · 0.83 xG
SEA1 / 49 · 0.81 xG

VGK went 1-for-17 from medium danger on 2.05 expected goals — 1.0 left on the table.

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

Finishing vs expected

expectedactual
VGK
3 G · 3.96 xG · -1.0
SEA
4 G · 3.24 xG · +0.8
012345
Goalies · GSAx (goals saved above expected)
A. HillVGK
+0.2
J. DaccordSEA
+1.0

VGK finished -1.0 against expected, SEA +0.8 — J. Daccord (SEA) saved 1.0 goals above expected.

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

Shot diet

goalsshots
VGK
WRIST1/31
SLAP0/5
BACKHAND1/6
SNAP0/2
TIP IN0/3
DEFLECTED1/2
WRAP AROUND0/1
POKE0/0
OTHER0/15
SEA
WRIST2/28
SLAP1/8
BACKHAND0/6
SNAP0/7
TIP IN0/1
DEFLECTED0/1
WRAP AROUND0/1
POKE0/1
OTHER0/17
VGK
SEA
Off the rush
3 G on 35 · 3.38 xG
3 G on 39 · 2.74 xG
Off rebounds
0 G on 2 · 0.14 xG
0 G on 4 · 0.29 xG

Wrist shots carried the volume: VGK went 1-for-31, SEA 2-for-28. VGK scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
V. Dunn
#29 · D · SEA
0 G · 2 A · 2 SOG · 22:50 TOI
M. Stone
#61 · R · VGK
2 G · 0 A · 4 SOG · 20:13 TOI · +1
R. Andersson
#4 · D · VGK
0 G · 1 A · 2 SOG · 29:03 TOI · -1
Ranked from the box score — points first · Backcheck
What the model flagged
  • VGK had the higher quality looks — 0.061 xG/shot vs 0.046.
  • SEA was lethal off the rush — 3 goals on 39 rush chances.
  • VGK was lethal off the rush — 3 goals on 35 rush chances.
  • SEA created 4 rebound opportunities (0 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · VGK at SEA · 10:00 PM ET

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

By the ModelJul 12, 11:08 AMEdited for clarity
Win probability

The model's lean

55%
VGK
Model favorite
55%
45%
VGK50SEA

VGK by 10 points of win probability — a modest lean. Projected score VGK 2.52.2 SEA; 19% 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 →SEA
54.0%5v5 xG%46.0%
52.0%Corsi%45.0%
2.52xGF / 602.13
2.11xGA / 602.51
2.12Goals for / gm1.87
2.10Goals against / gm1.95
0.983PDO — luck, not skill1.011

VGK holds 5 of 6 process categories — and PDO (0.983 vs 1.011) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.5–2.2 Golden Knights victory with 55% win probability—essentially a pick'em with a small edge to Vegas.

Recent form supports this tilt. Vegas is 5–3–2 in its last 10 games; Seattle sits at −22 goal differential over the same stretch. The underlying analytics confirm the edge. Vegas controls 54.0% of expected goals and 52.0% of Corsi at 5v5, establishing territorial dominance. Seattle manages just 46.0% xG and 45.0% Corsi.

But PDO regression complicates Vegas's advantage. The Golden Knights run a 0.983 PDO—underperforming expectation, due for positive reversion. Seattle, at 1.011, is outperforming via luck that could reverse. The model has priced both trajectories; that's why the 55% lean is measured rather than decisive.

Both starters face back-to-back fatigue. J. Daccord handles Seattle's second night; C. Hart does the same for Vegas. Backup appearances or sluggish performances remain possible.

Vegas's offense leans on Brandon Saad (0.91 xG/60, 3G, 6A, 4.1% shooting)—though he's likely out—and Tomas Hertl (0.88 xG/60, 5G, 17A, 4.3% shooting). Hertl's shooting rate warrants attention; variance cuts both ways. Seattle counters with Shane Wright (0.77 xG/60, 8G, 10A, 10.4% shooting) and Berkly Catton (0.68 xG/60, 6G, 8A, 8.8% shooting), both converting above their underlying offensive generation.

Vegas owns the territorial game. Seattle's hot hand is no mirage. The regression thesis tightens an otherwise clearer edge.

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
SEA
Shane Wright8G 10A
0.77 xG/60 · 4 HD · 10.4% sh
Berkly Catton6G 8A
0.68 xG/60 · 5 HD · 8.8% sh
Source · MoneyPuck skaters