Backcheck
Recap · SEA at LAK

Kraken hold off the Kings

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

By the ModelJul 12, 4:13 AMxG: xgboost-0.758Edited for clarity
Away
SEA
Seattle Kraken
4
Home
LAK
Los Angeles Kings
2
FINAL
Process vs result

The underlying story

2.67Expected goals2.57
51% share for the better side
23Shot attempts (SOG)27
1High-danger chances0
48Corsi (all attempts)64
Score-adjusted: 38% / 62%
Source · NHL play-by-play · XGBoost xG

Seattle outlasted Los Angeles in a game where underlying metrics suggested a near tie, yet the Kings never found the shooting efficiency to capitalize on their territorial edge. Los Angeles owned 54% of shot attempts, yet trailed throughout, revealing that quality over quantity determined the outcome.

The Kraken finished 2.67 expected goals to 2.57 — essentially even — but the Kings' shot profile told a different story. Seattle averaged 0.056 xG per shot versus Los Angeles's 0.040. That gap in dangerous looks cascaded across the game.

J. Daccord posted 25 saves on 27 shots (0.926 SV%), outperforming his expected save percentage by 0.57 goals. D. Kuemper faced 23 shots and yielded four, posting a 0.826 SV% nearly 1.33 goals worse than his model predicted — a stark miss on a lighter workload than the Kings' territorial dominance warranted.

Both teams exploited speed and special teams. Seattle converted 4 goals on 26 rush chances while Los Angeles managed 2 on 29 attempts. The Kings muscled 2 power-play goals on 12 shots (0.88 xG), but peak special-team execution couldn't offset their underlying finishing struggles.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA0 / 1 · 0.22 xG
LAK0 / 0 · 0.00 xG
Medium dangermid-range
SEA4 / 16 · 1.93 xG
LAK2 / 16 · 1.87 xG
Low dangerperimeter & point
SEA0 / 31 · 0.52 xG
LAK0 / 48 · 0.70 xG

SEA went 4-for-16 from medium danger on 1.93 expected goals — 2.1 above expected.

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

Finishing vs expected

expectedactual
SEA
4 G · 2.67 xG · +1.3
LAK
2 G · 2.57 xG · -0.6
012345
Goalies · GSAx (goals saved above expected)
J. DaccordSEA
+0.6
D. KuemperLAK
-1.3

SEA finished +1.3 against expected, LAK -0.6 — D. Kuemper (LAK) allowed 1.3 more goals than expected.

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

Shot diet

goalsshots
SEA
WRIST1/10
SLAP0/6
TIP IN0/4
SNAP1/6
BACKHAND2/5
BAT0/1
WRAP AROUND0/0
POKE0/0
OTHER0/16
LAK
WRIST1/27
SLAP0/4
TIP IN0/6
SNAP1/3
BACKHAND0/2
BAT0/0
WRAP AROUND0/1
POKE0/1
OTHER0/20
SEA
LAK
Off the rush
4 G on 26 · 2.41 xG
2 G on 29 · 1.93 xG
Off rebounds
0 G on 2 · 0.20 xG
0 G on 4 · 0.27 xG

Wrist shots carried the volume: SEA went 1-for-10, LAK 1-for-27. SEA scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
C. Stephenson
#9 · C · SEA
0 G · 2 A · 0 SOG · 22:23 TOI · +1
K. Fiala
#22 · L · LAK
0 G · 2 A · 3 SOG · 20:23 TOI
F. Gaudreau
#89 · C · SEA
0 G · 2 A · 0 SOG · 18:16 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • D. Kuemper (LAK) gave up 1.3 goals more than expected — well below their workload.
  • SEA had the higher quality looks — 0.056 xG/shot vs 0.040.
  • LAK was lethal off the rush — 2 goals on 29 rush chances.
  • SEA was lethal off the rush — 4 goals on 26 rush chances.
  • LAK created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • LAK power play was dominant — 2 PPG on 12 PP shots (0.88 xG).
  • SEA power play was dominant — 2 PPG on 10 PP shots (0.99 xG).
Before the game — the model's pre-game read
Preview · SEA at LAK · 10:00 PM ET

The Kings are the model's lean over the Kraken on the underlying numbers

By the ModelJul 12, 4:12 AMEdited for clarity
Win probability

The model's lean

57%
LAK
Model favorite
43%
57%
SEA50LAK

LAK by 14 points of win probability — a modest lean. Projected score SEA 2.22.6 LAK; 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 →LAK
46.0%5v5 xG%52.0%
45.0%Corsi%52.0%
2.13xGF / 602.42
2.51xGA / 602.20
1.87Goals for / gm1.85
1.95Goals against / gm1.71
1.011PDO — luck, not skill1.002

LAK holds 5 of 6 process categories — and PDO (1.011 vs 1.002) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

The model favors Los Angeles in this matchup, projecting a 2.2–2.6 goal spread with the Kings at 57% win probability. The edge isn't close—it sits in the underlying play.

Los Angeles dominates the 5v5 chart. The Kings own 52.0% xG to Seattle's 46.0%, and that territorial advantage extends to possession: 52.0% Corsi against 45.0%. When one team sustains that kind of control across metrics, it typically manifests as shots on net and high-danger chances. The Kings drive the game in directions that matter.

Seattle's PDO of 1.011 suggests some unsustainable mixing—either efficiency that won't hold or penalty rates working sideways. Los Angeles sits at 1.002, closer to neutral, which means any edge in underlying play has room to translate.

The talent gap appears smallest at star forward. Shane Wright leads Seattle with 8 goals and 10 assists while generating 0.77 expected goals per 60 minutes; he's converted 4 high-danger chances at a 10.4% clip. Berkly Catton adds secondary scoring at a 0.68 xG/60 rate. Los Angeles counters with Alex Laferriere, who posts the draft's strongest individual edge: 0.87 xG/60 with 16 goals and 18 assists. Jared Wright, on the other hand, has registered just 4 assists on 0.83 xG/60—production lag relative to opportunity.

Seattle's defense shows structural concerns. The team has generated no high-danger or rebound goals, signaling both offensive-zone brittleness and puck-recovery issues. Chandler Stephenson carries defensive questions. Los Angeles faces its own efficiency puzzle: zero high-danger and zero rebound goals despite superior underlying play, suggesting either a depth-scoring void or goaltending playing above his chances. Adrian Kempe is flagged as a defensive liability.

The Kings' edge rests on sustained control of the game's high-leverage space. If the underlying play translates to goals, the 57% projection looks sound.

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
LAK
Alex Laferriere16G 18A
0.87 xG/60 · 2 HD · 9.9% sh
Jared Wright0G 4A
0.83 xG/60 · 0 HD · 0.0% sh
Source · MoneyPuck skaters