Motion-blurred skater in a Seattle Kraken sweater
Breakdown · SJS at SEA

Kraken pull away from the Sharks

The verdict · stolen

The Kraken stole one. They lost the expected-goals battle 3.05–2.59 and won anyway.

SJS 1 · SEA 4
◆ By the ModelJul 11, 4:21 PMxG: 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

The Kraken beat the Sharks 4-1, but the expected-goals model disagreed: San Jose held a 3.05–2.59 edge, yet Seattle won by three. This wasn't close-call variance—it was a goaltending blowout masked by the scoreboard.

The underlying play tilted narrow. Seattle controlled 47% of shot attempts and generated higher-quality chances (0.060 xG per shot vs. San Jose's 0.041). On high-danger chances, the Sharks dominated 5–2—they had the better looks. But they scored on zero of them.

P. Grubauer made that irrelevant. He stopped 19 of 19 shots and ran +2.23 against expected goals, the kind of performance that makes advanced stats look foolish. M. Murray backed him up with a save on 100% of five high-danger chances and a +2.0 xG performance. Seattle didn't just limit chances; it converted low-danger opportunities into goals and denied San Jose theirs.

The Sharks generated rebounds (3 created, 0 converted) and had quality at the net. They underperformed their xG by 2.05—wasted chances were the story. Seattle, meanwhile, was lethal off the rush: three goals on 24 rush attempts. That's an efficiency gap the Sharks couldn't overcome.

The turning point came when Jaden Schwartz's wrist shot from the wing (P3, 16:31) shifted momentum, though by then the Kraken had already established goaltending control.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Nov 15
SJS
1
SEA
4

Kraken pull away from the Sharks

Chances 3.0 – 2.6Did they deserve it? →
Did they deserve it?

The Sharks deserved better.

Expected goals · chance value
SJS
3.05
SEA
2.59
54% of the chances46%

The board read SJS 1, SEA 4. The chances read SJS 3.0, SEA 2.6.

Our xG model · NHL play-by-play · all situations
Luck check
SEA
+1.4
goals above expected
SEA2.59 expected · 4 scored
Expected
Scored
SJS3.05 expected · 1 scored
Expected
Scored

The Sharks left 2.0 goals on the table against what their chances were worth.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 08:14SEAJ. Schwartz0–1
  2. P1 19:42SJSA. WennbergPP1–1
  3. P2 16:05SEAA. Larsson1–2
  4. P2 16:43SEAE. Tolvanen1–3
  5. P3 16:31SEAJ. SchwartzEN1–4
NHL play-by-play · chance value from our xG model
Where the shots came from
SJS
45 shots
1
Final
78 shots
SEA
33 shots
4
SJS attackSEA attack
SJS SEA Goal
45
shots · 1 in
33
shots · 4 in
Every unblocked shot · press play to replay it
Chances by danger
SJSSEA
0 / 5
1.16 xG
High danger
1 / 2
0.85 xG
1 / 12
1.18 xG
Medium
1 / 12
1.30 xG
0 / 57
0.70 xG
Low
2 / 29
0.44 xG

The Sharks went 0 for 5 from the slot.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A+
P. Grubauer
+3.0
SEA · 19/19
A
M. Murray
+2.0
SEA · 6/7
+1 more on the full breakdown
The numbers, checked
BACKCHECK

Kraken pull away from the Sharks

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 7–6
  1. 08:14SEAJ. Schwartz(C. Stephenson, J. Oleksiak)0–1
  2. 19:42SJSA. Wennbergpower play(M. Celebrini, W. Eklund)1–1
2ndshots 14–10
  1. 16:05SEAA. Larsson(M. Marchment, M. Beniers)1–2
  2. 16:43SEAE. Tolvanen(C. Stephenson, J. Oleksiak)1–3
3rdshots 5–7
  1. 16:31SEAJ. Schwartzempty net(R. Lindgren, C. Stephenson)1–4

score reads SJS–SEA

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

The numbers

XGBoost xG · NHL play-by-play
2.59
SEA chances
Goals their shots were worth
+1.4
Finishing
Goals above what those chances were worth
1.079
SEA puck luck
Above 1.000 — the bounces went their way
36.8%
Shot attempts
Under half — they were outshot
Split by club

Who controlled the game

3.05Expected goals2.59
SJS 54% of the chance quality
26Shots on goal23
5High-danger chances2
74All attempts (Corsi)43
Adjusted for score: SJS 66% · SEA 34%
Faceoffs · SEA won32%off40%neu63%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS0 / 5 · 1.16 xG
SEA1 / 2 · 0.85 xG
Medium dangermid-range
SJS1 / 12 · 1.18 xG
SEA1 / 12 · 1.30 xG
Low dangerperimeter & point
SJS0 / 57 · 0.70 xG
SEA2 / 29 · 0.44 xG

SEA went 2-for-29 from low danger on 0.44 expected goals — 1.6 above expected.

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

Finishing vs expected

expectedactual
SJS
1 G · 3.05 xG · -2.0
SEA
4 G · 2.59 xG · +1.4
012345

SJS finished -2.0 against expected, SEA +1.4.

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

Shot diet

goalsshots
SJS
WRIST0/24
SLAP0/9
SNAP0/4
TIP IN1/5
DEFLECTED0/2
BACKHAND0/1
OTHER0/29
SEA
WRIST2/21
SLAP1/4
SNAP0/3
TIP IN0/2
DEFLECTED1/1
BACKHAND0/2
OTHER0/10
SJS
SEA
Off the rush
1 G on 35
2.58 xG
3 G on 24
1.77 xG
Off rebounds
0 G on 3
0.38 xG
0 G on 1
0.13 xG

Wrist shots carried the volume: SJS went 0-for-24, SEA 2-for-21. SEA scored 3 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
A. Nedeljkovic
SJS · 19/22 · .864
-0.4
saved above expected
D
the night
By dangerG/attxGsaved
High danger1/20.8-0.1
Medium1/121.3+0.3
Low2/290.4-1.6

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

M. Murray
SEA · 6/7 · .857
+2.0
saved above expected
A
the night
By dangerG/attxGsaved
High danger0/51.2+1.2
Medium1/121.2+0.2
Low0/570.7+0.7

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

P. Grubauer
SEA · 19/19 · 1.000
+3.0
saved above expected
A+
the night
By dangerG/attxGsaved
High danger0/51.2+1.2
Medium1/121.2+0.2
Low0/570.7+0.7

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
SJS
45 shots
1
Final
78 shots
SEA
33 shots
4
SJS attackSEA attack
SJS SEA Goal

Each club shoots toward its own end — SJS left, SEA 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
C. Stephenson
#9 · C · SEA
0 G · 3 A · 1 SOG · 18:07 on ice · +3
J. Oleksiak
#24 · D · SEA
0 G · 2 A · 1 SOG · 18:45 on ice · +2
J. Schwartz
#17 · L · SEA
2 G · 0 A · 6 SOG · 16:01 on ice · +3
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Sat, Nov 15
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 11, 4:18 PMEdited 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 projects a SJS 2.4–2.5 SEA game with the Kraken at 51% win probability. This is as close to a pick'em as you'll find.

San Jose holds a small but real edge in shot quality at 5v5: 48.0% expected goals to Seattle's 46.0%, and 47.0% Corsi to the Kraken's 45.0%. Yet the Kraken's PDO of 1.011 outpaces the Sharks' 0.998, revealing that Seattle has converted chances more efficiently this season. Neither team has scored from high-danger areas or rebounds—both sit at 0%—so depth scoring and overall execution matter more than usual.

The goaltending situation is uncertain. Both P. Grubauer and Y. Askarov are on back-to-backs, raising genuine questions about starter status and available rest.

Seattle's offense flows through Shane Wright and Berkly Catton. Wright generates 0.77 xG/60 with 8 goals and 10 assists, including 4 high-danger chances. Catton contributes 0.68 xG/60, 6 goals, 8 assists, and 5 high-danger goals despite shooting only 8.8%. San Jose's task is preventing them from gaining extended offensive zone time.

San Jose plays without Pavol Regenda, marked inactive despite accumulating 1.10 xG/60, 5 goals, 1 assist, and 2 high-danger goals at 16.1% shooting. Igor Chernyshov inherits more offensive burden with 0.91 xG/60, 6 goals, 8 assists, and a team-leading 15.0% shooting rate. He becomes San Jose's primary scoring threat while simultaneously representing the team's defensive vulnerability.

Seattle's defensive weak point is Chandler Stephenson.

With San Jose ahead in possession and Seattle ahead in conversion efficiency, the model's near-split reflects the matchup's genuine balance. The Kraken's slight favorite status stems from their superior PDO and apparent goaltending depth. How both teams manage back-to-back fatigue, whether the Regenda absence cascades, and which side capitalizes on high-danger chances will settle this coin flip.

What the model said beforehand

The model's lean

SEA 51%
51%
SEA
Model favorite
49%
51%
SJS50SEA

SEA by 2 points of win probability — effectively a coin flip. Projected score SJS 2.4–2.5 SEA; 19% 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
SJS← edge
edge →SEA
48.0%46.0%
47.0%45.0%
2.332.13
2.562.51
1.991.87
2.321.95
0.9981.011

SJS holds 4 of 6 process categories — and the luck row (0.998 vs 1.011) says SEA has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · Last 10
SJS
7-2-1
+10 GD · 1d rest
SEA
5-2-3
+0 GD · 1d rest
0.998
SJS PDO
Luck gauge · drifts to 1.000
1.011
SEA PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Things to watch
  • P. Grubauer is on a back-to-back — watch for a backup start or a tired starter.
  • Y. Askarov is on a back-to-back — watch for a backup start or a tired starter.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
SJS
Expected in goal
Y. Askarov
back-to-back.971 last start
Backup Yaroslav Askarov · -18.9 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.

SEA
Expected in goal
P. Grubauer
back-to-back.885 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.

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
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
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
Keep going

Where to next