Backcheck
Recap · STL at SEA

Blues hold off the Kraken

The Blues stole one. They lost the expected-goals battle 3.23–4.40 and won anyway.

By the ModelJul 12, 5:35 AMxG: xgboost-0.758Edited for clarity
Away
STL
St. Louis Blues
3
Home
SEA
Seattle Kraken
2
FINAL
Process vs result

The underlying story

3.23Expected goals4.40
58% share for the better side
27Shot attempts (SOG)36
4High-danger chances7
50Corsi (all attempts)67
Score-adjusted: 41% / 60%
Source · NHL play-by-play · XGBoost xG

The Blues stole this one. St. Louis won 3-2 despite ceding 58% of expected goals to Seattle—a margin that should have ended in a Kraken victory.

J. Hofer was the difference. The Blues goaltender stopped 34 of 36 shots (0.944 SV%) and saved 2.40 goals above expected, carrying a St. Louis team that looked outmatched in almost every underlying metric. Seattle generated more shot attempts (36–27), more high-danger chances (7–4), and more expected goals (4.40–3.23). None of it mattered.

St. Louis executed ruthlessly in the spots that counted. The Blues converted 2 of 4 high-danger chances—50%, a rate that punishes opponents—and scored twice on 21 rush attempts. Vince Dunn's snap shot from the slot at 13:34 of the third period proved decisive. B. Schenn registered three assists in limited ice time (14:24), setting the stage for the Blues' clinical finishing.

Seattle, meanwhile, wasted a dominant performance. The Kraken created 5 rebound opportunities and converted just one. They underperformed their xG by 2.40 goals, a shortfall that left them chasing a game they should have controlled. P. Grubauer stopped 24 of 27 shots (0.889 SV%), a respectable performance undermined by the team's failure to convert high-percentage chances.

The gap between play and result was stark: Seattle dominated possession and chance creation, yet walked away with nothing. St. Louis played a simpler game and won. This is what heists look like.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
STL2 / 4 · 0.99 xG
SEA2 / 7 · 1.73 xG
Medium dangermid-range
STL1 / 12 · 1.58 xG
SEA0 / 18 · 2.02 xG
Low dangerperimeter & point
STL0 / 34 · 0.67 xG
SEA0 / 42 · 0.66 xG

SEA went 0-for-18 from medium danger on 2.02 expected goals — 2.0 left on the table.

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

Finishing vs expected

expectedactual
STL
3 G · 3.23 xG · -0.2
SEA
2 G · 4.40 xG · -2.4
012345
Goalies · GSAx (goals saved above expected)
J. HoferSTL
+2.4
P. GrubauerSEA
+0.2

STL finished -0.2 against expected, SEA -2.4 — J. Hofer (STL) saved 2.4 goals above expected.

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

Shot diet

goalsshots
STL
WRIST1/20
TIP IN1/5
SLAP0/0
BACKHAND0/4
DEFLECTED0/4
SNAP0/0
BAT0/1
WRAP AROUND1/1
POKE0/1
OTHER0/14
SEA
WRIST0/22
TIP IN0/8
SLAP0/12
BACKHAND0/4
DEFLECTED0/1
SNAP2/5
BAT0/2
WRAP AROUND0/0
POKE0/0
OTHER0/13
STL
SEA
Off the rush
2 G on 21 · 1.86 xG
0 G on 22 · 2.16 xG
Off rebounds
0 G on 6 · 0.94 xG
1 G on 5 · 0.91 xG

Wrist shots carried the volume: STL went 1-for-20, SEA 0-for-22. STL scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
B. Schenn
#10 · C · STL
0 G · 3 A · 3 SOG · 14:24 TOI · +2
V. Dunn
#29 · D · SEA
1 G · 1 A · 3 SOG · 20:12 TOI · +2
R. Thomas
#18 · C · STL
1 G · 1 A · 2 SOG · 16:53 TOI
Ranked from the box score — points first · Backcheck
What the model flagged
  • STL stole this one. SEA owned 58% of the xG and lost.
  • J. Hofer (STL) stopped 2.4 goals above expected.
  • STL was clinical in the high-danger zone — 2/4 on HD chances (50%).
  • STL was lethal off the rush — 2 goals on 21 rush chances.
  • SEA created 5 rebound opportunities (1 converted) — crashing the net effectively.
  • STL created 6 rebound opportunities (0 converted) — crashing the net effectively.
  • SEA underperformed xG by 2.4 — wasted quality chances.
  • J. Hofer (STL) saved 2.4 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · STL at SEA · 10:00 PM ET

Blues at Kraken: a genuine coin flip

By the ModelJul 12, 5:35 AMEdited for clarity
Win probability

The model's lean

51%
STL
Model favorite
51%
49%
STL50SEA

STL by 2 points of win probability — effectively a coin flip. Projected score STL 2.42.4 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

STL← edge
edge →SEA
49.0%5v5 xG%46.0%
48.0%Corsi%45.0%
2.34xGF / 602.13
2.40xGA / 602.51
2.00Goals for / gm1.87
2.12Goals against / gm1.95
1.000PDO — luck, not skill1.011

STL holds 5 of 6 process categories — and PDO (1.000 vs 1.011) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a STL 2.4 - 2.4 SEA game with the Blues at 51% win probability. This is about as close to even as the market gets.

The Blues own a small underlying edge. They're generating 49.0% of expected goals at 5v5 and controlling 48.0% of shot attempts, figures that outpace the Kraken's 46.0% xG% and 45.0% Corsi%. Yet Seattle is the hotter team by points pace, posting a 7-3-0 record over their last ten games.

The Blues carry a rest advantage—three days between games compared to Seattle's one—which normally tips momentum in their favor. But J. Daccord, the Kraken's starting goaltender, is on a back-to-back, and tired starters or an unexpected backup appearance could shift equilibrium.

Watch Jimmy Snuggerud for St. Louis. The forward is generating 0.86 expected goals per 60 minutes of play, has 15 goals and 22 assists, and is shooting at an elevated 11.9%—a rate unlikely to persist but dangerous nonetheless. He's recorded 2 high-danger chances. Dylan Holloway, another Blues scorer, posts similar pressure at 0.82 xG/60 with 13 goals and 24 assists, though his shooting has been slightly more modest at 10.8%.

Seattle counters with Shane Wright at 0.77 xG/60, 8 goals, and 10 assists. His edge lies in efficiency: Wright has generated 4 high-danger chances while maintaining a 10.4% shooting percentage. Berkly Catton, the Kraken's secondary threat, carries a lower volume (0.68 xG/60, 6 goals, 8 assists) but has been uncommonly lethal around the net, posting 5 high-danger chances on an 8.8% shooting rate.

Neither team has scored from high-danger areas or rebounds at 5v5—both at 0%. Snuggerud represents St. Louis's defensive liability; Chandler Stephenson fills that role for Seattle.

The Blues' structural advantage is real but narrow. The Kraken's momentum is harder to quantify but visible in the standings. When the market splits the difference this tightly, you're looking at a genuine coin flip.

Computed danger · scouting

Players to watch

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
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