Backcheck
Recap · CAR at SEA

Kraken steal one from the Hurricanes against the run of play

The Kraken stole one. They lost the expected-goals battle 3.46–1.56 and won anyway.

By the ModelJul 12, 5:29 AMxG: xgboost-0.758Edited for clarity
Away
CAR
Carolina Hurricanes
1
Home
SEA
Seattle Kraken
2
FINAL
Process vs result

The underlying story

3.46Expected goals1.56
69% share for the better side
36Shot attempts (SOG)15
2High-danger chances2
82Corsi (all attempts)30
Score-adjusted: 76% / 24%
Source · NHL play-by-play · XGBoost xG

Seattle defied a 69–31 expected-goal disadvantage to beat Carolina 2–1. The Hurricanes generated 3.46 xG to the Kraken's 1.56, dominating at 5v5, yet left empty-handed. This wasn't luck—it was goaltending outpacing possession.

J. Daccord's performance was the difference. He stopped 35 of 36 shots for a 0.972 save percentage, clearing 2.46 goals above expected. Carolina's F. Andersen, meanwhile, saved just 13 of 15, posting a 0.867 percentage. In a game Carolina should have buried, Daccord turned the tables.

Seattle's path to victory ran through the rush. The Kraken converted two goals on 17 rush attempts—lethal efficiency when the game is played on their terms. They held Carolina to just 29% of shot attempts (15–36 on goal), forcing the Hurricanes into perimeter play and neutralizing their territorial edge.

The turning point came from N. Ehlers, whose wrist shot from the high slot in the second period (18:30) swung momentum. Carolina's problem was not chances generated but chances finished. The Hurricanes underperformed their xG by 2.46 goals—wasted quality on a night when volume should have overwhelmed Seattle's defensive structure.

A. Larsson led Seattle with two assists across 21:42, dictating play when it mattered. S. Walker registered one assist for Carolina in 20:41, present but unable to capitalize on the Hurricanes' possession advantage. N. Ehlers's marker, tallied in 17:02, was the game's crucial goal.

This is what a stolen game looks like: possession without purpose, metrics abandoned by the final buzzer, and a goaltender standing in the way of statistical inevitability.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CAR0 / 2 · 0.46 xG
SEA0 / 2 · 0.41 xG
Medium dangermid-range
CAR1 / 18 · 2.00 xG
SEA1 / 7 · 0.68 xG
Low dangerperimeter & point
CAR0 / 62 · 1.00 xG
SEA1 / 21 · 0.47 xG

CAR went 1-for-18 from medium danger on 2.00 expected goals — 1.0 left on the table.

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

Finishing vs expected

expectedactual
CAR
1 G · 3.46 xG · -2.5
SEA
2 G · 1.56 xG · +0.4
01234
Goalies · GSAx (goals saved above expected)
F. AndersenCAR
-0.4
J. DaccordSEA
+2.5

CAR finished -2.5 against expected, SEA +0.4 — J. Daccord (SEA) saved 2.5 goals above expected.

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

Shot diet

goalsshots
CAR
WRIST1/38
SLAP0/10
BACKHAND0/2
TIP IN0/4
SNAP0/3
WRAP AROUND0/0
OTHER0/25
SEA
WRIST1/15
SLAP0/1
BACKHAND1/5
TIP IN0/1
SNAP0/1
WRAP AROUND0/1
OTHER0/6
CAR
SEA
Off the rush
1 G on 31 · 2.47 xG
2 G on 17 · 1.16 xG
Off rebounds
0 G on 2 · 0.29 xG
0 G on 3 · 0.32 xG

Wrist shots carried the volume: CAR went 1-for-38, SEA 1-for-15. SEA scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. Larsson
#6 · D · SEA
0 G · 2 A · 0 SOG · 21:42 TOI
S. Walker
#26 · D · CAR
0 G · 1 A · 2 SOG · 20:41 TOI · +1
N. Ehlers
#27 · L · CAR
1 G · 0 A · 4 SOG · 17:02 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • SEA won despite being outplayed by xG (31%). Goaltending or finishing carried them.
  • J. Daccord (SEA) stopped 2.5 goals above expected.
  • SEA was lethal off the rush — 2 goals on 17 rush chances.
  • SEA created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • CAR underperformed xG by 2.5 — wasted quality chances.
  • J. Daccord (SEA) saved 2.5 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · CAR at SEA · 10:00 PM ET

The Hurricanes are the model's lean over the Kraken — with PDO regression in play

By the ModelJul 12, 5:11 AMEdited for clarity
Win probability

The model's lean

57%
CAR
Model favorite
57%
43%
CAR50SEA

CAR by 14 points of win probability — a modest lean. Projected score CAR 2.72.3 SEA; 18% chance it's tied after 60.

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

Tale of the tape

CAR← edge
edge →SEA
56.0%5v5 xG%46.0%
60.0%Corsi%45.0%
2.98xGF / 602.13
2.31xGA / 602.51
2.26Goals for / gm1.87
1.95Goals against / gm1.95
0.984PDO — luck, not skill1.011

CAR holds 5 of 6 process categories — and PDO (0.984 vs 1.011) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

Carolina arrives as the favorite. The model projects a 2.7–2.3 Hurricanes win with 57% win probability, backed by form and underlying play: Carolina has gone 8-0-2 in their last 10 games.

The Hurricanes own the territorial game convincingly. They post a 56.0% xG rate to Seattle's 46.0%, and drive Corsi at 60.0% compared to the Kraken's 45.0%. This is not a close matchup on the ice—Carolina generates more chances and controls play.

The slip is PDO. Carolina runs at 0.984, meaning their finishing and goaltending luck have underperformed their underlying creation. That gap typically closes; expect the Hurricanes to earn their true talent level. Seattle, meanwhile, sits at 1.011—luck that doesn't sustain—and faces the inverse regression.

Both goalies face back-to-back fatigue. J. Daccord and F. Andersen each carry workload risk, opening the door for Seattle if either start tired or a backup takes the crease.

On the ice, focus on Carolina's shot-creators. Jackson Blake operates at 1.06 xG/60 with 14 goals on 19 assists, a 10.9% shooting rate, and 2 high-danger goals. Seth Jarvis runs 0.98 xG/60 with 17 goals on 12 assists at 11.9% shooting, though only 1 high-danger goal. Seattle's Shane Wright (0.77 xG/60, 8 goals, 10 assists, 4 high-danger goals, 10.4% shooting) and Berkly Catton (0.68 xG/60, 6 goals, 8 assists, 5 high-danger goals, 8.8% shooting) need to reverse inefficiency.

Carolina carries a defensive weak link in Charles Alexis Legault. Seattle's is Chandler Stephenson. Neither team converts at high-danger odds—both at 0% HD goal rate and 0% rebound rate—margins unsustainable and due to tighten.

The model likes Carolina. The play supports it.

Computed danger · scouting

Players to watch

CAR
Jackson Blake14G 19A
1.06 xG/60 · 2 HD · 10.9% sh
Seth Jarvis17G 12A
0.98 xG/60 · 1 HD · 11.9% 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