Backcheck
Recap · SEA at DET

Red Wings run the Kraken off the ice on the underlying numbers

The Red Wings earned it — the game and the expected-goals battle both.

By the ModelJul 11, 4:34 PMxG: xgboost-0.758Edited for clarity
Away
SEA
Seattle Kraken
2
Home
DET
Detroit Red Wings
4
FINAL
Process vs result

The underlying story

2.30Expected goals4.62
67% share for the better side
22Shot attempts (SOG)27
4High-danger chances9
40Corsi (all attempts)59
Score-adjusted: 42% / 58%
Source · NHL play-by-play · XGBoost xG

The 4–2 scoreline flatters Seattle. Detroit controlled 67% of 5v5 expected goals (4.62–2.30) and registered 9–4 in high-danger chances. J. Daccord (SEA) saved 1.62 goals above expected—he was the only reason this stayed within two.

The gap between volume and quality explained Detroit's control. They registered 0.078 expected goals per shot to Seattle's 0.057. Attempts went 27–22, but quality went much further. Detroit scored three times on 25 rush attempts and generated six rebound opportunities through relentless net-crashing, converting none. The volume alone showed their dominance.

J. Daccord (SEA) stopped 23 of 26 (0.885 SV%), performing admirably in a lost cause. C. Talbot (DET) stopped 20 of 22 (0.909 SV%). Detroit's chances were qualitatively superior, giving Talbot the easier night despite the save-percentage gap.

Turning point. Dylan Larkin's wrist shot from the point (third period, 19:30).

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA1 / 4 · 0.85 xG
DET2 / 9 · 2.60 xG
Medium dangermid-range
SEA0 / 7 · 0.81 xG
DET1 / 13 · 1.54 xG
Low dangerperimeter & point
SEA1 / 29 · 0.64 xG
DET1 / 37 · 0.48 xG

SEA went 0-for-7 from medium danger on 0.81 expected goals — 0.8 left on the table.

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

Finishing vs expected

expectedactual
SEA
2 G · 2.30 xG · -0.3
DET
4 G · 4.62 xG · -0.6
012345
Goalies · GSAx (goals saved above expected)
J. DaccordSEA
+1.6
C. TalbotDET
+0.3

SEA finished -0.3 against expected, DET -0.6 — J. Daccord (SEA) saved 1.6 goals above expected.

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

Shot diet

goalsshots
SEA
WRIST2/12
SNAP0/6
BACKHAND0/4
SLAP0/6
TIP IN0/3
DEFLECTED0/0
WRAP AROUND0/0
OTHER0/9
DET
WRIST1/15
SNAP2/14
BACKHAND0/5
SLAP0/3
TIP IN0/2
DEFLECTED1/3
WRAP AROUND0/1
OTHER0/16
SEA
DET
Off the rush
0 G on 22 · 1.54 xG
3 G on 25 · 2.64 xG
Off rebounds
1 G on 2 · 0.39 xG
0 G on 6 · 0.89 xG

Wrist shots carried the volume: SEA went 2-for-12, DET 1-for-15. DET scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. DeBrincat
#93 · R · DET
0 G · 2 A · 3 SOG · 20:24 TOI · +2
L. Raymond
#23 · L · DET
1 G · 1 A · 3 SOG · 19:53 TOI · +2
E. Tolvanen
#20 · R · SEA
0 G · 2 A · 4 SOG · 14:35 TOI · -2
Ranked from the box score — points first · Backcheck
What the model flagged
  • SEA generated higher-quality looks than the shot total suggests.
  • J. Daccord (SEA) stopped 1.6 goals above expected.
  • DET generated far more dangerous chances — 0.078 xG/shot vs 0.057. Quality over quantity.
  • DET was lethal off the rush — 3 goals on 25 rush chances.
  • DET created 6 rebound opportunities (0 converted) — crashing the net effectively.
  • J. Daccord (SEA) saved 1.6 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · SEA at DET · 7:00 PM ET

Kraken at Red Wings: a genuine coin flip

By the ModelJul 11, 4:31 PMEdited for clarity
Win probability

The model's lean

54%
DET
Model favorite
46%
54%
SEA50DET

DET by 8 points of win probability — a modest lean. Projected score SEA 2.32.6 DET; 19% 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 →DET
46.0%5v5 xG%49.0%
45.0%Corsi%49.0%
2.13xGF / 602.38
2.51xGA / 602.50
1.87Goals for / gm1.73
1.95Goals against / gm2.07
1.011PDO — luck, not skill0.985

DET holds 4 of 6 process categories — and PDO (1.011 vs 0.985) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

The model gives Detroit a 54% win probability in a 2.3–2.6 game—this is a coin flip.

Detroit's territorial edge explains the lean. The Red Wings own a 49.0% Corsi, compared to Seattle's 45.0%, meaning they'll spend more time in the offensive zone. Both teams' underlying production (Detroit 49.0% xG, Seattle 46.0% xG) aligns with that control. Seattle's PDO sits at 1.011, well above average; Detroit's is 0.985, a hair below. That's luck noise, not predictive—ignore it.

The wildcard is goaltending. C. Talbot is riding a back-to-back. Detroit may start a backup or risk a tired starter, which could flatten any structural advantage.

Seattle's offense hinges on two creators. Shane Wright carries 0.77 expected goals per 60 minutes and has buried 8 goals on 10 assists. He's scored on 4 high-difficulty chances, reflecting clinical finishing at 10.4%. Berkly Catton mirrors that intensity at 0.68 xG/60 with 6 goals and 8 assists; 5 of his goals came from prime scoring areas, though his 8.8% shooting rate suggests some luck.

Detroit counters with firepower. Alex DeBrincat leads at 0.88 xG/60, has 17 goals and 28 assists—production that dwarfs Seattle's top scorers—and has only 2 high-danger tallies despite his volume, a sign he's getting quality chances but hasn't cashed in a ton of point-blank opportunities. Marco Kasper runs 0.81 xG/60 with 7 goals and 8 assists; just 1 of his goals came from high-difficulty positions, suggesting he's scoring on cleaner looks.

The mismatch isn't in raw talent. It's positional: DeBrincat and Kasper operate in Detroit's system where puck control translates to chance creation. Wright and Catton are productive enough but swim upstream against the Corsi current.

Defensively, Seattle's weakness is Chandler Stephenson in the bottom four. Detroit relies on Axel Sandin-Pellikka to log tough minutes—both vulnerable to transition offense. This cuts both ways, but Seattle's offensive limitations make capitalization harder.

The Red Wings are slight favorites because they control play and can afford inefficiency. Seattle must play perfect. That's the edge.

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
DET
Alex DeBrincat17G 28A
0.88 xG/60 · 2 HD · 9.0% sh
Marco Kasper7G 8A
0.81 xG/60 · 1 HD · 6.1% sh
Source · MoneyPuck skaters