Backcheck
Recap · SEA at PIT

Kraken steal one from the Penguins against the run of play

The Kraken stole one. They lost the expected-goals battle 2.18–4.91 and won anyway.

By the ModelJul 11, 5:16 PMxG: xgboost-0.758Edited for clarity
Away
SEA
Seattle Kraken
3
Home
PIT
Pittsburgh Penguins
2
FINAL / OT
Process vs result

The underlying story

2.18Expected goals4.91
69% share for the better side
21Shot attempts (SOG)32
2High-danger chances9
49Corsi (all attempts)66
Score-adjusted: 42% / 58%
Source · NHL play-by-play · XGBoost xG

The Kraken won a game that belonged to Pittsburgh. Seattle beat the Penguins 3–2 in overtime despite trailing 4.91–2.18 in expected goals—a 69–31 advantage for the home team.

Control was never the issue. The Penguins took 60% of shot attempts (32–21), generated nine high-danger chances to two, and pushed their offensive efficiency—0.074 expected goals per shot versus Seattle's 0.044. They should have won.

P. Grubauer had other ideas. The Seattle goaltender posted a 0.938 save percentage and stopped 2.91 goals above expected. He shut down all nine of Pittsburgh's high-danger chances. S. Murashov coughed up 0.82 goals above his baseline. The Penguins' forwards couldn't capitalize: 0 for 9 on high-danger attempts.

Seattle made their break count. The Kraken scored three goals from low-danger spots and were lethal on the rush, converting three times from 25 chances. Brandon Montour's wrist shot from the top of the circles at 04:10 of overtime ended it.

The math heavily favored Pittsburgh. The Penguins' shot quality advantage was real. The result, though, belongs to Seattle.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA0 / 2 · 0.46 xG
PIT0 / 9 · 2.11 xG
Medium dangermid-range
SEA0 / 9 · 1.06 xG
PIT2 / 18 · 1.97 xG
Low dangerperimeter & point
SEA3 / 38 · 0.66 xG
PIT0 / 39 · 0.83 xG

SEA went 3-for-38 from low danger on 0.66 expected goals — 2.3 above expected.

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

Finishing vs expected

expectedactual
SEA
3 G · 2.18 xG · +0.8
PIT
2 G · 4.91 xG · -2.9
0123456
Goalies · GSAx (goals saved above expected)
P. GrubauerSEA
+2.9
S. MurashovPIT
-0.8

SEA finished +0.8 against expected, PIT -2.9 — P. Grubauer (SEA) saved 2.9 goals above expected.

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

Shot diet

goalsshots
SEA
WRIST3/21
SLAP0/8
TIP IN0/3
SNAP0/1
BACKHAND0/1
DEFLECTED0/1
WRAP AROUND0/0
OTHER0/14
PIT
WRIST2/28
SLAP0/6
TIP IN0/8
SNAP0/6
BACKHAND0/4
DEFLECTED0/0
WRAP AROUND0/1
OTHER0/13
SEA
PIT
Off the rush
3 G on 25 · 1.97 xG
1 G on 35 · 3.41 xG
Off rebounds
0 G on 0 · 0.00 xG
1 G on 5 · 0.68 xG

Wrist shots carried the volume: SEA went 3-for-21, PIT 2-for-28. SEA scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
S. Crosby
#87 · C · PIT
1 G · 1 A · 1 SOG · 21:26 TOI
R. Evans
#41 · D · SEA
0 G · 2 A · 1 SOG · 18:56 TOI · +1
M. Marchment
#27 · L · SEA
1 G · 1 A · 3 SOG · 18:38 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • SEA stole this one. PIT owned 69% of the xG and lost.
  • SEA generated higher-quality looks than the shot total suggests.
  • P. Grubauer (SEA) stopped 2.9 goals above expected.
  • PIT generated far more dangerous chances — 0.074 xG/shot vs 0.044. Quality over quantity.
  • PIT couldn't convert — 0/9 on high-danger chances. That won't happen often.
  • SEA scored 3 goals from low-danger spots — the opposing goalie needs to have those.
  • SEA was lethal off the rush — 3 goals on 25 rush chances.
  • PIT created 5 rebound opportunities (1 converted) — crashing the net effectively.
  • PIT underperformed xG by 2.9 — wasted quality chances.
  • P. Grubauer (SEA) saved 2.9 goals above expected — stole the show.
  • P. Grubauer was a wall on HD chances — 100% SV on 9 high-danger shots.
Before the game — the model's pre-game read
Preview · SEA at PIT · 7:00 PM ET

The Penguins are the model's lean over the Kraken on the rest edge

By the ModelJul 11, 5:15 PMEdited for clarity
Win probability

The model's lean

56%
PIT
Model favorite
44%
56%
SEA50PIT

PIT by 12 points of win probability — a modest lean. Projected score SEA 2.32.7 PIT; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season profile · edge from the spine

Tale of the tape

SEA← edge
edge →PIT
46.0%5v5 xG%51.0%
45.0%Corsi%50.0%
2.13xGF / 602.66
2.51xGA / 602.55
1.87Goals for / gm2.45
1.95Goals against / gm2.12
1.011PDO — luck, not skill1.012

PIT holds 4 of 6 process categories — and PDO (1.011 vs 1.012) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

The model favors Pittsburgh by a significant margin: 56% win probability and a projected 2.3-2.7 goal spread.

The Penguins' edge rests on two pillars. First, they dominate underlying play, generating 51.0% expected goals and 50.0% Corsi at 5v5, while Seattle manages just 46.0% xG and 45.0% Corsi. Second, they arrive refreshed on six days of rest; the Kraken stumble in after one. That's the model's entire argument.

Goaltending adds a wrinkle. J. Daccord starts on the second night of a back-to-back, which invites the question of Seattle using a fresh arm instead. If Daccord plays while fatigued, Pittsburgh's shot volume advantage could compound into goals.

On Seattle's side, Shane Wright remains the primary engine: 0.77 xG/60 with 8 goals and 10 assists, with 4 high-danger goals and 10.4% shooting. Berkly Catton tracks similarly at 0.68 xG/60, with 6 goals, 8 assists, 5 high-danger goals, and 8.8% shooting. Both create at volume, but volume alone doesn't overcome a rest deficit.

Pittsburgh's forward core is led by Rickard Rakell, who drives 1.01 xG/60 and has 13 goals with 13 assists. His 12.1% shooting and 3 high-danger goals suggest he's hot and ready to keep shooting. Filip Hallander—1.28 xG/60 with 3 assists and 0 goals—is likely unavailable, currently on injured reserve undergoing evaluation.

The defensive vulnerabilities tip toward an offensive script. Chandler Stephenson represents Seattle's weak link; Caleb Jones does the same for Pittsburgh. Both sides invite scoring chances at the back, though the Kraken's rest disadvantage means Pittsburgh will move the puck and transition sharply—the very thing that breaks a tired defense.

The model's lean is straightforward: better play, better rest, better odds.

Computed danger · scouting

Players to watch

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
PIT
Filip Hallander0G 3A
1.28 xG/60 · 0 HD · 0.0% sh
Rickard Rakell13G 13A
1.01 xG/60 · 3 HD · 12.1% sh
Source · MoneyPuck skaters