Backcheck
Recap · VGK at SJS

Golden Knights edge the Sharks in overtime

The Golden Knights stole one. They lost the expected-goals battle 2.85–3.61 and won anyway.

By the ModelJun 16, 2:21 PMxG: xgboost-0.758Edited for clarity
Away
VGK
Vegas Golden Knights
4
Home
SJS
San Jose Sharks
3
FINAL / OT
Process vs result

The underlying story

2.85Expected goals3.61
56% share for the better side
31Shot attempts (SOG)23
4High-danger chances8
62Corsi (all attempts)53
Score-adjusted: 55% / 45%
Source · NHL play-by-play · XGBoost xG

Vegas won 4–3 in overtime. San Jose lost despite owning 56% of expected goals (3.61–2.85). This was a heist.

The Sharks controlled the game by every process metric. They held 43% of shot attempts (23–31) but generated superior quality: 0.068 xG per shot versus Vegas's 0.046. San Jose created eight high-danger chances to Vegas's four. By any analytical measure, SJS played the better game.

Vegas won anyway, through goaltending variance and clinical shooting. A. Schmid outperformed his xG by 0.61 (20/23, 0.870 SV%) while A. Nedeljkovic underperformed by 1.15 (27/31, 0.871 SV%). Vegas overshot their expected output by 1.15 goals overall.

The margins of difference: Vegas converted 50% of high-danger chances (2 of 4) and scored three goals from 33 rush attempts. The power play was deadly—2 PPG on 12 shots. San Jose crashed the net for four rebound opportunities but only converted one. They had the chances; Vegas had the finish.

Reilly Smith's wrist shot from the doorstep in overtime (1:24) ended it. The three-star list reads as a Vegas victory lap: J. Eichel delivered 1G, 1A in 22:34; M. Stone added two assists in 19:22; S. Mukhamadullin contributed two assists in 12:45. Their limited ice time reflected the game's reality—Vegas defending its lead, San Jose searching for possession.

This will sting for the Sharks. They played the better game and lost.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
VGK2 / 4 · 0.92 xG
SJS1 / 8 · 2.40 xG
Medium dangermid-range
VGK1 / 12 · 1.13 xG
SJS2 / 8 · 0.81 xG
Low dangerperimeter & point
VGK1 / 46 · 0.80 xG
SJS0 / 37 · 0.40 xG

SJS went 1-for-8 from high danger on 2.40 expected goals — 1.4 left on the table.

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

Finishing vs expected

expectedactual
VGK
4 G · 2.85 xG · +1.1
SJS
3 G · 3.61 xG · -0.6
012345
Goalies · GSAx (goals saved above expected)
A. SchmidVGK
+0.6
A. NedeljkovicSJS
-1.1

VGK finished +1.1 against expected, SJS -0.6 — A. Nedeljkovic (SJS) allowed 1.1 more goals than expected.

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

Shot diet

goalsshots
VGK
WRIST3/25
SNAP1/8
SLAP0/5
TIP IN0/4
BACKHAND0/4
DEFLECTED0/1
BAT0/0
POKE0/0
OTHER0/15
SJS
WRIST1/23
SNAP0/1
SLAP0/3
TIP IN1/2
BACKHAND0/1
DEFLECTED0/2
BAT1/2
POKE0/1
OTHER0/18
VGK
SJS
Off the rush
3 G on 33 · 2.53 xG
1 G on 18 · 2.55 xG
Off rebounds
0 G on 1 · 0.05 xG
1 G on 4 · 0.81 xG

Wrist shots carried the volume: VGK went 3-for-25, SJS 1-for-23. VGK scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
J. Eichel
#9 · C ·
1 G · 1 A · 3 SOG · 22:34 TOI · +1
M. Stone
#61 · R ·
0 G · 2 A · 1 SOG · 19:22 TOI · +1
S. Mukhamadullin
#85 · D ·
0 G · 2 A · 0 SOG · 12:45 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • VGK stole this one. SJS owned 56% of the xG and lost.
  • VGK generated higher-quality looks than the shot total suggests.
  • A. Nedeljkovic (SJS) gave up 1.1 goals more than expected — well below their workload.
  • SJS generated far more dangerous chances — 0.068 xG/shot vs 0.046. Quality over quantity.
  • VGK was clinical in the high-danger zone — 2/4 on HD chances (50%).
  • VGK was lethal off the rush — 3 goals on 33 rush chances.
  • SJS created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • VGK power play was dominant — 2 PPG on 12 PP shots (0.63 xG).
Before the game — the model's pre-game read
Preview · VGK at SJS · 10:00 PM ET

Golden Knights at Sharks: a genuine coin flip

By the ModelJun 16, 2:18 PMEdited for clarity
Win probability

The model's lean

54%
VGK
Model favorite
54%
46%
VGK50SJS

VGK by 8 points of win probability — a modest lean. Projected score VGK 2.52.3 SJS; 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 →SJS
54.0%5v5 xG%48.0%
52.0%Corsi%47.0%
2.52xGF / 602.33
2.11xGA / 602.56
2.12Goals for / gm1.99
2.10Goals against / gm2.32
0.983PDO — luck, not skill0.998

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

Source · MoneyPuck season tables · 5v5

The model says so—Vegas projects 2.5 goals to 2.3, with San Jose at 46% to win. This is as close to a true pick'em as playoff positioning gets.

Vegas owns the underlying play. The Knights control 54.0% of 5v5 expected goals and 52.0% of the puck by Corsi, meaning they're generating better chances from superior positions. San Jose manages just 48.0% xG and 47.0% Corsi—a territorial deficit that should compound.

But the scoreboard tilts the other way. Vegas is minus-7 in goal differential over the last 10 games despite dominating the underlying metrics. Their PDO of 0.983 suggests regression waiting to happen. San Jose runs 0.998—league average—meaning their results track their earned chances more closely.

That's the edge: Vegas plays better hockey and still loses if San Jose gets timely bounces. Brandon Saad and Tomas Hertl are shooting well below their ceiling, a sign of variance working against them. If either catches fire, Vegas's advantage compounds.

San Jose's answer comes through Pavol Regenda and Igor Chernyshov, who are both shooting at unsustainable rates. Both are more likely to cool than heat further, making Vegas's underlying dominance a threat the longer the game goes.

Players to Watch

  • Brandon Saad (VGK) — 0.91 xG/60, 3G 6A, 1 HD goal, 4.1% shooting
  • Pavol Regenda (SJS) — 1.10 xG/60, 5G 1A, 2 HD goals, 16.1% shooting
  • Tomas Hertl (VGK) — 0.88 xG/60, 5G 17A, 1 HD goal, 4.3% shooting
  • Igor Chernyshov (SJS) — 0.91 xG/60, 6G 8A, 1 HD goal, 15.0% shooting
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
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
Source · MoneyPuck skaters