Motion-blurred skater in a St. Louis Blues sweater
Breakdown · SEA at STL

Blues pull away from the Kraken

The verdict · coin flip

The Blues won a genuine coin flip — neither side controlled the run of play.

SEA 1 · STL 5
◆ By the ModelJul 12, 4:37 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

St. Louis rolled past Seattle 5-1, but the expected goals split of 3.24–3.12 revealed a game that played far closer to even than the scoreboard suggested. The Blues' four-goal margin masked an underlying contest decided entirely by goaltending and finishing variance.

The Blues controlled 57% of shot attempts (32–24 on goal) and translated their slight possession edge into elite efficiency. In the high-danger zone, they converted 4 of 6 chances—a 67% rate that turns tight edges into decisive wins. Dylan Holloway's backhander from the wing in the third period served as the turning point, extending St. Louis's advantage when the outcome was still in question.

J. Hofer saved 2.12 goals above his expected save percentage—a margin so large it accounted for the difference between a close game and a rout. P. Grubauer, meanwhile, underperformed by 0.76, a gap large enough to swing a single game. The Blues' rush attack proved particularly lethal: two goals on 28 chances, a rate that bleeds leads slowly but relentlessly.

The Kraken underperformed their expected goals by 2.1, wasting quality chances created through effective net-front pressure. They generated four rebound opportunities but converted only one—a missed opportunity to capitalize on second chances.

The Blues' overperformance (1.76 goals above xG) and Seattle's underperformance converged on the same villain: variance. Hofer's heroics and St. Louis's finishing sharpness in key moments separated what the underlying play suggested would be a one-goal game.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Feb 26
SEA
1
STL
5

Blues pull away from the Kraken

Chances 3.1 – 3.2Did they deserve it? →
Did they deserve it?

Dead even on chances. The Blues took it anyway.

Expected goals · chance value
SEA
3.12
STL
3.24
49% of the chances51%

The board read SEA 1, STL 5. The chances read SEA 3.1, STL 3.2.

Our xG model · NHL play-by-play · all situations
Luck check
STL
+1.8
goals above expected
STL3.24 expected · 5 scored
Expected
Scored
SEA3.12 expected · 1 scored
Expected
Scored

The Blues scored 1.8 more than their chances were worth. That does not repeat.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 07:58STLD. Holloway0–1
  2. P1 12:32SEAK. Kakko1–1
  3. P2 01:12STLJ. Kyrou1–2
  4. P2 01:35STLD. Holloway1–3
  5. P3 01:56STLP. Suter1–4
  6. P3 16:59STLD. HollowayEN1–5
NHL play-by-play · chance value from our xG model
Where the shots came from
SEA
41 shots
1
Final
84 shots
STL
43 shots
5
SEA attackSTL attack
SEA STL Goal
41
shots · 1 in
43
shots · 5 in
Every unblocked shot · press play to replay it
Chances by danger
SEASTL
0 / 4
0.97 xG
High danger
4 / 6
1.39 xG
1 / 15
1.47 xG
Medium
1 / 10
1.08 xG
0 / 34
0.69 xG
Low
0 / 39
0.77 xG

The Kraken went 0 for 4 from the slot.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A
J. Hofer
+2.1
STL · 23/24
D-
P. Grubauer
−0.8
SEA · 27/31
The numbers, checked
BACKCHECK

Blues pull away from the Kraken

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 10–11
  1. 07:58STLD. Holloway(J. Berggren, P. Suter)0–1
  2. 12:32SEAK. Kakko(S. Wright, B. Montour)1–1
2ndshots 8–14
  1. 01:12STLJ. Kyrou(P. Buchnevich, C. Parayko)1–2
  2. 01:35STLD. Holloway(J. Berggren, P. Suter)1–3
3rdshots 6–7
  1. 01:56STLP. Suter(D. Holloway, J. Faulk)1–4
  2. 16:59STLD. Hollowayempty net(J. Faulk, J. Finley)1–5

score reads SEA–STL

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

The numbers

XGBoost xG · NHL play-by-play
3.24
STL chances
Goals their shots were worth
+1.8
Finishing
Goals above what those chances were worth
1.072
STL puck luck
Above 1.000 — the bounces went their way
50.9%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

3.12Expected goals3.24
STL 51% of the chance quality
24Shots on goal32
4High-danger chances6
53All attempts (Corsi)55
Adjusted for score: SEA 54% · STL 46%
Faceoffs · STL won30%off50%neu71%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA0 / 4 · 0.97 xG
STL4 / 6 · 1.39 xG
Medium dangermid-range
SEA1 / 15 · 1.47 xG
STL1 / 10 · 1.08 xG
Low dangerperimeter & point
SEA0 / 34 · 0.69 xG
STL0 / 39 · 0.77 xG

STL went 4-for-6 from high danger on 1.39 expected goals — 2.6 above expected.

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

Finishing vs expected

expectedactual
SEA
1 G · 3.12 xG · -2.1
STL
5 G · 3.24 xG · +1.8
0123456

SEA finished -2.1 against expected, STL +1.8.

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

Shot diet

goalsshots
SEA
WRIST1/19
TIP IN0/8
SNAP0/6
SLAP0/5
BACKHAND0/3
POKE0/0
OTHER0/12
STL
WRIST0/27
TIP IN0/4
SNAP3/6
SLAP0/4
BACKHAND1/1
POKE1/1
OTHER0/12
SEA
STL
Off the rush
0 G on 29
2.28 xG
2 G on 28
2.24 xG
Off rebounds
1 G on 4
0.52 xG
0 G on 2
0.14 xG

Wrist shots carried the volume: SEA went 1-for-19, STL 0-for-27. STL 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
P. Grubauer
SEA · 27/31 · .871
-0.8
saved above expected
D-
the night
By dangerG/attxGsaved
High danger4/61.4-2.6
Medium1/101.1+0.1
Low0/390.8+0.8

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

J. Hofer
STL · 23/24 · .958
+2.1
saved above expected
A
the night
By dangerG/attxGsaved
High danger0/41.0+1.0
Medium1/151.5+0.5
Low0/340.7+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

84 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
SEA
41 shots
1
Final
84 shots
STL
43 shots
5
SEA attackSTL attack
SEA STL Goal

Each club shoots toward its own end — SEA left, STL 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
D. Holloway
#81 · L · STL
3 G · 1 A · 5 SOG · 16:04 on ice · +4
P. Suter
#22 · C · STL
1 G · 2 A · 3 SOG · 15:33 on ice · +3
J. Faulk
#72 · D · STL
0 G · 2 A · 2 SOG · 19:41 on ice · +2
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Thu, Feb 26
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 12, 4:36 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

This matchup reads as a genuine toss-up. The projection model calls for 2.3 to 2.5 Seattle goals, with St. Louis favored at 55% win probability—margins so thin that execution determines everything.

St. Louis owns a structural advantage. They generate 49.0% expected goal share at 5v5 versus Seattle's 46.0%, and control 48.0% of shot attempts against 45.0%. Seattle's 1.011 PDO suggests performance running ahead of talent, while St. Louis's 1.000 aligns perfectly with their underlying output—they are what their metrics promise.

The scoring profiles diverge sharply. Seattle leans on Shane Wright at 0.77 xG/60, with 8 goals and 10 assists while shooting 10.4% and harvesting 4 high-danger goals. Berkly Catton supplies 0.68 xG/60 across 6 goals and 8 assists, shooting 8.8% despite 5 high-danger tallies. St. Louis counters with Jimmy Snuggerud, who converts at 11.9% on 0.86 xG/60, producing 15 goals and 22 assists from just 2 high-danger chances—an efficiency that amplifies volume into dominance. Dylan Holloway adds 0.82 xG/60 at 10.8% shooting, with 13 goals and 24 assists and 1 high-danger goal.

Both teams operate tight defensive structures: 0% of their goals stem from high-danger situations and 0% from rebounds, signaling either disciplined net-front play or perimeter-heavy shot generation. Chandler Stephenson represents Seattle's defensive liability; St. Louis flags Jimmy Snuggerud as a comparable weakness. The outcome hinges on goaltending—whichever starter plays closer to his underlying talent advances.

What the model said beforehand

The model's lean

STL 55%
55%
STL
Model favorite
45%
55%
SEA50STL

STL by 10 points of win probability — a modest lean. Projected score SEA 2.3–2.5 STL; 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
SEA← edge
edge →STL
46.0%49.0%
45.0%48.0%
2.132.34
2.512.40
1.872.00
1.952.12
1.0111.000

STL holds 5 of 6 process categories — and the luck row (1.011 vs 1.000) says SEA has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · No games yet
SEA
0-0-0
+0 GD · 0d rest
STL
0-0-0
+0 GD · 0d rest
1.011
SEA PDO
Luck gauge · drifts to 1.000
1.000
STL PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Things to watch
  • Two evenly matched teams on paper — this one tilts on goaltending.
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
STL
Jimmy Snuggerud15G 22A
0.86 xG/60 · 2 HD · 11.9% sh
Dylan Holloway13G 24A
0.82 xG/60 · 1 HD · 10.8% sh
Keep going

Where to next