Motion-blurred skater in a Vegas Golden Knights sweater
Breakdown · SEA at VGK

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

The verdict · earned

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

SEA 1 · VGK 4
◆ By the ModelJul 12, 11:57 AMxG: xgboost-0.758Edited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

High-danger chances were tied at 2–2, yet the Golden Knights won 4–1 — the extra goals came from places the Kraken defense should have cleaned up.

The xG told the real story: Vegas controlled 67% of five-on-five expected goals (3.29–1.62), a decisive edge that mirrored the final scoreline. The Golden Knights didn't just out-shoot Seattle (26–23 on goal, 53% of attempts) — they created far more dangerous looks. Vegas generated 0.051 xG per shot versus Seattle's 0.039, pure quality over volume.

But the scoreboard exaggerated Vegas's dominance at the highest level. Two Golden Knights goals came from low-danger areas — the kind opposing goalies are supposed to stop. Two more came off the rush (29 rush attempts yielded 2 goals), where Seattle's structure broke down rather than Vegas executing a systematic pattern.

C. Hart made this look easy, posting a 0.957 save percentage against 23 shots — 0.62 goals better than expected. N. Kokko's 0.846 mark represented a 0.71-goal shortfall, a troubling gap when you're already being out-chanced by that margin. Rebounding didn't decide it: Vegas created four rebound chances and converted one, Seattle created six and also converted one. The difference was ruthlessness — Vegas punished the looks it got.

Vegas overperformed its xG by 0.71 goals — not a small variance when 3.29 xG yielded 4 actual goals. That's execution meeting opportunity.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Apr 15
SEA
1
VGK
4

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

Chances 1.6 – 3.3Did they deserve it? →
Did they deserve it?

The Golden Knights earned this one.

Expected goals · chance value
SEA
1.62
VGK
3.29
33% of the chances67%

The board read SEA 1, VGK 4. The chances read SEA 1.6, VGK 3.3.

Our xG model · NHL play-by-play · all situations
Luck check
VGK
+0.7
goals above expected
VGK3.29 expected · 4 scored
Expected
Scored
SEA1.62 expected · 1 scored
Expected
Scored

Both sides finished close to what their chances were worth. This one was earned on the ice.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P2 02:24SEAS. Wright1–0
  2. P2 17:35VGKS. Theodore1–1
  3. P3 01:23VGKM. Marner1–2
  4. P3 12:01VGKR. Smith1–3
  5. P3 16:36VGKR. SmithPP1–4
NHL play-by-play · chance value from our xG model
Where the shots came from
SEA
29 shots
1
Final
78 shots
VGK
49 shots
4
SEA attackVGK attack
SEA VGK Goal
29
shots · 1 in
49
shots · 4 in
Every unblocked shot · press play to replay it
Chances by danger
SEAVGK
1 / 2
0.47 xG
High danger
0 / 2
0.38 xG
0 / 5
0.59 xG
Medium
2 / 17
1.93 xG
0 / 34
0.56 xG
Low
2 / 45
0.98 xG

High-danger looks: SEA 1 of 2, VGK 0 of 2.

Danger tiers by our xG model · high ≥ 20% chance
In the net
B
C. Hart
+0.6
VGK · 22/23
D
N. Kokko
−0.7
SEA · 22/26
The numbers, checked
BACKCHECK

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

A model, not a newsroom. Every number on these frames comes from the NHL's play-by-play and our own models. Nothing was watched, guessed or heard from anyone.

Read the full breakdown
backcheckreport.com
01 / 08 · Final
Every goal, in order

How it happened

NHL play-by-play
1stshots 11–6no goals
    2ndshots 8–8
    1. 02:24SEAS. Wright(J. Nyman, J. Oleksiak)1–0
    2. 17:35VGKS. Theodore(R. Smith, N. Dowd)1–1
    3rdshots 4–12
    1. 01:23VGKM. Marner(B. McNabb, J. Eichel)1–2
    2. 12:01VGKR. Smith(R. Andersson, J. Eichel)1–3
    3. 16:36VGKR. Smithpower play(K. Korczak, T. Hertl)1–4

    score reads SEA–VGK

    Source · NHL play-by-play (api-web.nhle.com)
    Process vs result

    The numbers

    XGBoost xG · NHL play-by-play
    3.29
    VGK chances
    Goals their shots were worth
    +0.7
    Finishing
    Goals above what those chances were worth
    1.038
    VGK puck luck
    Above 1.000 — the bounces went their way
    61.0%
    Shot attempts
    Over half — they had the puck more
    Split by club

    Who controlled the game

    1.62Expected goals3.29
    VGK 67% of the chance quality
    23Shots on goal26
    2High-danger chances2
    41All attempts (Corsi)64
    Adjusted for score: SEA 39% · VGK 61%
    Faceoffs · VGK won68%off47%neu46%def
    Source · NHL play-by-play · XGBoost xG
    How the game was won

    The danger ladder

    shotsgoalsexpected
    High dangerslot & crease
    SEA1 / 2 · 0.47 xG
    VGK0 / 2 · 0.38 xG
    Medium dangermid-range
    SEA0 / 5 · 0.59 xG
    VGK2 / 17 · 1.93 xG
    Low dangerperimeter & point
    SEA0 / 34 · 0.56 xG
    VGK2 / 45 · 0.98 xG

    VGK went 2-for-45 from low danger on 0.98 expected goals — 1.0 above expected.

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

    Finishing vs expected

    expectedactual
    SEA
    1 G · 1.62 xG · -0.6
    VGK
    4 G · 3.29 xG · +0.7
    012345

    SEA finished -0.6 against expected, VGK +0.7.

    Source · Backcheck xG model
    Shot types · rush and rebound chancesopen +
    What they shot — and what went in

    Shot diet

    goalsshots
    SEA
    WRIST0/15
    SNAP1/7
    TIP IN0/1
    SLAP0/3
    BACKHAND0/3
    OTHER0/12
    VGK
    WRIST2/26
    SNAP1/9
    TIP IN1/8
    SLAP0/4
    BACKHAND0/2
    OTHER0/15
    SEA
    VGK
    Off the rush
    0 G on 14
    0.83 xG
    2 G on 29
    2.06 xG
    Off rebounds
    1 G on 6
    0.69 xG
    1 G on 4
    0.63 xG

    Wrist shots carried the volume: SEA went 0-for-15, VGK 2-for-26. VGK scored 2 of theirs off the rush.

    Source · Backcheck xG model · NHL shot types
    New to these numbers?

    Two things happened in this game: who created the better chances, and who put the puck in the net. They are not the same thing, and this page separates them on purpose.

    The one to watch is expected goals— the best single read on who deserved to win. When it disagrees with the scoreboard, that disagreement is usually the story. Nothing here is a projection; every figure is computed from this game's play-by-play. Full glossary →

    xG
    Expected goals. Every shot scored by how often that exact look goes in. 2.5 xG means the chances were worth about two and a half goals.
    HD
    High-danger chances — shots from the slot and the crease, where shots actually become goals.
    Corsi
    Every shot attempt, including the ones that missed or got blocked. A rough read on who had the puck.
    Adj.
    Score-adjusted. Teams that trail shoot more and teams that lead sit back, so this corrects the attempt count for the scoreboard.
    GSAx
    Goals saved above expected. A positive number means the goalie stopped more than an average goalie would have on those shots.
    PDO
    Shooting % plus save % — a luck gauge. It sits near 1.000 over a season, so a game far from it usually means the bounces decided it.
    Shot by shot

    In the net

    Graded on goals saved above expected
    N. Kokko
    SEA · 22/26 · .846
    -0.7
    saved above expected
    D
    the night
    By dangerG/attxGsaved
    High danger0/20.4+0.4
    Medium2/171.9-0.1
    Low2/451.0-1.0

    A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

    C. Hart
    VGK · 22/23 · .957
    +0.6
    saved above expected
    B
    the night
    By dangerG/attxGsaved
    High danger1/20.5-0.5
    Medium0/50.6+0.6
    Low0/340.6+0.6

    A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

    78 shots · press play to watch the game back

    Where the shots came from

    NHL play-by-play coordinates
    SEA
    29 shots
    1
    Final
    78 shots
    VGK
    49 shots
    4
    SEA attackVGK attack
    SEA VGK Goal

    Each club shoots toward its own end — SEA left, VGK right — the way you would watch it. A dot's size is how dangerous the look was, from distance and angle; it is a proxy for shot quality, not the xG model the article is written from. Hover a dot for the shooter and the clock.

    Ranked from the box score

    Three stars

    Points first
    Three stars · computed, not voted
    R. Smith
    #19 · R · VGK
    2 G · 1 A · 5 SOG · 13:10 on ice · +2
    J. Eichel
    #9 · C · VGK
    0 G · 2 A · 4 SOG · 19:45 on ice · +3
    R. Andersson
    #4 · D · VGK
    0 G · 1 A · 2 SOG · 21:53 on ice · +1
    Ranked from the box score — points first · Backcheck
    What the model said beforehand

    Before the game

    Written Wed, Apr 15
    Open the pre-game read
    Written from the numbers

    The read

    Edited for clarity
    ◆ By the ModelJul 12, 11:55 AMEdited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

    The model has Vegas at 59% win probability in a projected 2.1–2.6 game—a meaningful edge that's grounded in the two-week form disparity and a deeper structural advantage that PDO regression could amplify.

    Vegas is the hotter team by record, going 6–1–3 over their last ten. Seattle has deteriorated to minus-14 goal differential in the same span, a gap that forecasts poorly for the Kraken's chances.

    The underlying play edges further toward Vegas. At 5v5, the Golden Knights own 54.0% expected goals against Seattle's 46.0%, and they drive territorial control at 52.0% Corsi% versus 45.0%. This isn't luck—it's systematic dominance in how both teams play the game.

    But here's where the edge sharpens. Vegas's PDO of 0.983 signals they're running cold relative to their underlying performance. Positive regression is mathematized, not promised, yet the gap between play and results is the kind of mismatch models exploit. Seattle's PDO sits at 1.011—closer to neutral—which means they're not getting lucky; they're simply being outplayed.

    The goaltending angle adds friction. Both C. Hart and N. Kokko are on back-to-backs, creating ambiguity around lineup deployment. If Seattle plays a backup, the model's edge widens. If Vegas does, it narrows. This is noise the model prices in but can't eliminate.

    The individuals who matter most tell the same story. Shane Wright drives Seattle's offense at 0.77 expected goals per 60 minutes with 8 goals and 10 assists, anchored by 4 high-danger chances—his 10.4% shooting rate is sustainable. Berkly Catton complements him at 0.68 xG/60 with 6 goals and 8 assists. Vegas counters through depth: Brandon Saad operates at 0.91 xG/60 with only 3 goals (a 4.1% shoot rate that screams positive regression), and Tomas Hertl at 0.88 xG/60 has cashed 5 goals on 17 assists with just 1 high-danger goal, leaving room for offensive upside. Hertl's efficiency on volume is the kind of variance that resolves favorably.

    What the model said beforehand

    The model's lean

    VGK 59%
    59%
    VGK
    Model favorite
    41%
    59%
    SEA50VGK

    VGK by 18 points of win probability — a clear lean. Projected score SEA 2.1–2.6 VGK; 18% chance it's tied after 60.

    Source · Backcheck Poisson projection · season scoring rates
    Season rates · 5v5

    Tale of the tape

    NHL stats API · our xG
    SEA← edge
    edge →VGK
    46.0%54.0%
    45.0%52.0%
    2.132.52
    2.512.11
    1.872.12
    1.952.10
    1.0110.983

    VGK holds 5 of 6 process categories — and the luck row (1.011 vs 0.983) says SEA has been getting the bounces, which tends not to last.

    Source · NHL stats API + our xG · 5v5
    Form · Last 10
    SEA
    3-6-1
    -14 GD · 1d rest
    VGK
    6-1-3
    +9 GD · 1d rest
    1.011
    SEA PDO
    Luck gauge · drifts to 1.000
    0.983
    VGK PDO
    Luck gauge · drifts to 1.000
    What decides it

    Keys to the game

    Where the edges live
    • The Golden Knights own the underlying play — 54.0% 5v5 xG vs 46.0%.
    • The Golden Knights drive Corsi at 52.0% — expect territorial tilt.
    Regression watch
    • The Golden Knights' PDO is 0.983 — running cold, due for positive regression.
    Things to watch
    • The Golden Knights own the underlying play — 54.0% 5v5 xG vs 46.0%.
    • The Golden Knights drive Corsi at 52.0% — expect territorial tilt.
    • C. Hart is on a back-to-back — watch for a backup start or a tired starter.
    • N. Kokko is on a back-to-back — watch for a backup start or a tired starter.
    • The Golden Knights are the hotter team by points pace (6-1-3 in their last 10).
    • The Kraken are underwater at -14 goal differential over their last 10.
    • The Golden Knights' PDO is 0.983 — running cold, due for positive regression.
    Last game's lineup · confirmed at warm-up

    Lineups

    NHL box score
    SEA
    Expected in goal
    N. Kokko
    back-to-back.862 last start
    Backup Joey Daccord · -6.2 GSAx this season
    Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

    No completed game on file for this club yet.

    VGK
    Expected in goal
    C. Hart
    back-to-back.913 last start
    Backup Akira Schmid · -1.0 GSAx this season
    Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

    No completed game on file for this club yet.

    Lineups are the players who dressed in each club's last game, with their minutes; clubs confirm tonight's at warm-up. Every player this preview names was in that lineup.

    Computed danger · scouting

    Players to watch

    NHL stats API · our xG
    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
    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
    Keep going

    Where to next