Backcheck
Recap · LAK at SEA

Kings run the Kraken off the ice on the underlying numbers

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

By the ModelJul 12, 11:40 AMxG: xgboost-0.758Edited for clarity
Away
LAK
Los Angeles Kings
5
Home
SEA
Seattle Kraken
3
FINAL
Process vs result

The underlying story

5.22Expected goals3.43
60% share for the better side
30Shot attempts (SOG)33
8High-danger chances6
66Corsi (all attempts)72
Score-adjusted: 41% / 59%
Source · NHL play-by-play · XGBoost xG

The Kraken held 52% of shot attempts. The underlying numbers said otherwise. The Kings controlled 60% of 5v5 expected goals (5.22–3.43), a margin that exposed the quality gap beneath Seattle's shot volume.

The Kraken shot worse. The Kings generated 0.079 xG per attempt; Seattle mustered 0.048. When the Kings took fewer chances on better ice and better angles, the scoreboard followed.

On the rush, the Kings scored three goals on 26 chances; Seattle managed two on 31. In front of the net, the Kings created eight rebound opportunities and converted two; Seattle generated three and converted zero.

N. Kokko stopped 1.22 goals above expected (0.862 SV%). A. Forsberg recorded 30 saves on 33 shots (0.909 SV%), but the Kings had already won the game upstream.

The 5-3 scoreline flattered Seattle.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
LAK1 / 8 · 2.63 xG
SEA1 / 6 · 1.46 xG
Medium dangermid-range
LAK2 / 17 · 1.95 xG
SEA0 / 11 · 1.10 xG
Low dangerperimeter & point
LAK2 / 41 · 0.64 xG
SEA2 / 55 · 0.87 xG

LAK went 1-for-8 from high danger on 2.63 expected goals — 1.6 left on the table.

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

Finishing vs expected

expectedactual
LAK
5 G · 5.22 xG · -0.2
SEA
3 G · 3.43 xG · -0.4
0123456
Goalies · GSAx (goals saved above expected)
A. ForsbergLAK
+0.4
N. KokkoSEA
+1.2

LAK finished -0.2 against expected, SEA -0.4 — N. Kokko (SEA) saved 1.2 goals above expected.

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

Shot diet

goalsshots
LAK
WRIST3/30
SLAP0/7
SNAP1/8
TIP IN0/7
BACKHAND1/2
DEFLECTED0/0
WRAP AROUND0/0
OTHER0/12
SEA
WRIST1/30
SLAP0/7
SNAP2/5
TIP IN0/4
BACKHAND0/5
DEFLECTED0/1
WRAP AROUND0/1
OTHER0/19
LAK
SEA
Off the rush
3 G on 26 · 2.07 xG
2 G on 31 · 2.37 xG
Off rebounds
2 G on 8 · 1.56 xG
0 G on 3 · 0.42 xG

Wrist shots carried the volume: LAK went 3-for-30, SEA 1-for-30. LAK scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. Laferriere
#14 · R · LAK
1 G · 1 A · 5 SOG · 21:10 TOI · +3
Q. Byfield
#55 · R · LAK
2 G · 0 A · 8 SOG · 20:17 TOI · +3
T. Moore
#12 · L · LAK
1 G · 1 A · 1 SOG · 18:31 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • SEA had the shot volume but the chances weren't dangerous.
  • N. Kokko (SEA) stopped 1.2 goals above expected.
  • LAK had the higher quality looks — 0.079 xG/shot vs 0.048.
  • SEA scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • LAK scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • SEA was lethal off the rush — 2 goals on 31 rush chances.
  • LAK was lethal off the rush — 3 goals on 26 rush chances.
  • SEA created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • LAK created 8 rebound opportunities (2 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · LAK at SEA · 9:30 PM ET

Kings at Kraken: a genuine coin flip

By the ModelJul 12, 11:37 AMEdited for clarity
Win probability

The model's lean

53%
LAK
Model favorite
53%
47%
LAK50SEA

LAK by 6 points of win probability — a modest lean. Projected score LAK 2.52.3 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

LAK← edge
edge →SEA
52.0%5v5 xG%46.0%
52.0%Corsi%45.0%
2.42xGF / 602.13
2.20xGA / 602.51
1.85Goals for / gm1.87
1.71Goals against / gm1.95
1.002PDO — luck, not skill1.011

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

Source · MoneyPuck season tables · 5v5

The model projects a LAK 2.5 - 2.3 SEA game with the Kings at 53% win probability. This is as close to a pick'em as projections get.

The Kings are the hotter team: 6-1-3 over their last 10 games. The Kraken are underwater at -13 goal differential in the same stretch. That gap reflects the underlying play. Los Angeles generates expected goals at 52.0% share to Seattle's 46.0%, controls territory at 52.0% Corsi to 45.0%. The Kings dominate possession; the Kraken chase.

That edge is real but fragile. Seattle's PDO sits at 1.011—elevated—while LA's is 1.002, meaning the Kraken have run hot on conversion while the Kings have run cold. In a game this tight, that gap erases an advantage.

The Kings' engine is Alex Laferriere: 0.87 expected goals per 60 minutes, 16 goals and 18 assists, with 2 high-danger goals and a 9.9% shooting rate that leaves room for variance. Jared Wright generates at 0.83 xG/60 but has yet to score—a potential flashpoint if his luck shifts. Seattle counters with Shane Wright at 0.77 xG/60, 8 goals and 10 assists with 4 high-danger goals, paired with Berkly Catton's high-volume, low-efficiency approach: 0.68 xG/60, 6 goals, 8 assists, and 5 high-danger chances despite 8.8% shooting.

Adrian Kempe figures as a defensive weak link for LA; Chandler Stephenson the same for Seattle. In a close game, those names matter.

The Kings' underlying play gives them the edge. Seattle's luck could close it. Expect a game decided by whoever sustains their identity longer.

Computed danger · scouting

Players to watch

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
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