Backcheck
Recap · NYI at SEA

Kraken pull away from the Islanders

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

By the ModelJul 12, 2:02 AMxG: xgboost-0.758Edited for clarity
Away
NYI
New York Islanders
1
Home
SEA
Seattle Kraken
4
FINAL
Process vs result

The underlying story

3.26Expected goals4.89
60% share for the better side
25Shot attempts (SOG)25
3High-danger chances9
60Corsi (all attempts)49
Score-adjusted: 56% / 44%
Source · NHL play-by-play · XGBoost xG

The Islanders generated 3.26 expected goals and scored one, a 2.26-goal underperformance in the 4-1 loss. That gap, not the scoreboard, tells the story.

Seattle dominated through shot quality. Both teams took 25 attempts, but the Kraken's chances were nearly twice as efficient: 0.100 expected goals per shot versus 0.054 for New York. The gap defined the game. It showed up in the count: 60% of expected goals went to Seattle (4.89–3.26), along with 9 high-danger chances to 3 for the Islanders.

The Kraken converted their speed into goals. They scored 3 times off 24 rush attempts, turning the most dangerous scoring chances into results. New York generated 4 rebound opportunities and finished with none.

P. Grubauer's 24-of-25 performance (+2.26 versus expected) made the result decisive. I. Sorokin was nearly as excellent, saving 1.89 goals above expected, but even elite goaltending couldn't overcome the quality gap.

Jared McCann's wrist shot from the slot at 16:32 of the third marked the turning point. By then, Seattle's control of chance quality had already decided the outcome.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
NYI0 / 3 · 0.78 xG
SEA1 / 9 · 2.83 xG
Medium dangermid-range
NYI0 / 17 · 1.86 xG
SEA2 / 14 · 1.47 xG
Low dangerperimeter & point
NYI1 / 40 · 0.61 xG
SEA1 / 26 · 0.59 xG

NYI went 0-for-17 from medium danger on 1.86 expected goals — 1.9 left on the table.

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

Finishing vs expected

expectedactual
NYI
1 G · 3.26 xG · -2.3
SEA
4 G · 4.89 xG · -0.9
0123456
Goalies · GSAx (goals saved above expected)
I. SorokinNYI
+1.9
P. GrubauerSEA
+2.3

NYI finished -2.3 against expected, SEA -0.9 — P. Grubauer (SEA) saved 2.3 goals above expected.

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

Shot diet

goalsshots
NYI
WRIST0/19
SNAP1/11
TIP IN0/3
BACKHAND0/7
SLAP0/0
DEFLECTED0/1
WRAP AROUND0/1
OTHER0/18
SEA
WRIST3/23
SNAP0/7
TIP IN1/6
BACKHAND0/2
SLAP0/5
DEFLECTED0/0
WRAP AROUND0/0
OTHER0/6
NYI
SEA
Off the rush
1 G on 31 · 2.66 xG
3 G on 24 · 2.21 xG
Off rebounds
0 G on 4 · 0.52 xG
0 G on 3 · 0.37 xG

Wrist shots carried the volume: NYI went 0-for-19, SEA 3-for-23. SEA scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
V. Dunn
#29 · D · SEA
1 G · 1 A · 4 SOG · 18:28 TOI · +1
J. McCann
#19 · L · SEA
1 G · 1 A · 3 SOG · 15:37 TOI · +1
M. Barzal
#13 · C · NYI
0 G · 1 A · 2 SOG · 19:29 TOI · -3
Ranked from the box score — points first · Backcheck
What the model flagged
  • NYI generated higher-quality looks than the shot total suggests.
  • I. Sorokin (NYI) stopped 1.9 goals above expected.
  • SEA generated far more dangerous chances — 0.100 xG/shot vs 0.054. Quality over quantity.
  • SEA was lethal off the rush — 3 goals on 24 rush chances.
  • SEA created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • NYI created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • NYI underperformed xG by 2.3 — wasted quality chances.
  • I. Sorokin (NYI) saved 1.9 goals above expected — stole the show.
  • P. Grubauer (SEA) saved 2.3 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · NYI at SEA · 9:30 PM ET

Islanders at Kraken: a genuine coin flip

By the ModelJul 12, 2:00 AMEdited for clarity
Win probability

The model's lean

51%
SEA
Model favorite
49%
51%
NYI50SEA

SEA by 2 points of win probability — effectively a coin flip. Projected score NYI 2.52.5 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

NYI← edge
edge →SEA
48.0%5v5 xG%46.0%
49.0%Corsi%45.0%
2.48xGF / 602.13
2.69xGA / 602.51
1.78Goals for / gm1.87
1.94Goals against / gm1.95
0.993PDO — luck, not skill1.011

NYI holds 4 of 6 process categories — and PDO (0.993 vs 1.011) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.5-2.5 game with Seattle at 51% win probability. This is as close to a coin flip as modern analytics gets.

Possession metrics favor New York slightly. The Islanders control play at 49.0% Corsi, compared to Seattle's 45.0%. Expected goals lean the same way—NYI at 48.0% xG to the Kraken's 46.0%. But Seattle's PDO of 1.011 against New York's 0.993 suggests the Kraken have been outscoring their chances, while the Islanders have undershot theirs. That luck reverses.

The goaltending variable cuts hard here. I. Sorokin is on a back-to-back, which could mean a backup start or a tired first option. Either way, Seattle faces uncertainty in net depth.

Anders Lee anchors the Islanders' top line with 1.20 xG/60—elite volume from inside the dots. His 2 high-danger goals on 9 total speak to clean finishing; his 6.4% shooting rate is sustainable. Bo Horvat sits below Lee in volume (0.87 xG/60) but punches harder when it matters: 3 high-danger goals on 18 total, with a ridiculous 12.8% shooting rate. Seattle's defensive weak link is Chandler Stephenson. New York will hunt him.

For Seattle, Shane Wright and Berkly Catton carry the offensive load. Wright generates 0.77 xG/60 and has buried 4 high-danger chances on just 8 goals—a 10.4% shot rate that won't hold, but his cleanup ability is real. Catton's 0.68 xG/60 masks a 5-on-6 high-danger goal rate and 8.8% shooting efficiency—he's scoring from the spots that matter. Alexander Romanov is New York's defensive weak link—Seattle should target him when they gain the zone.

The tightness of the model holds: slight territorial edge to the Islanders, slight shooting-luck advantage to the Kraken, and goaltending a toss-up. This genuinely could go either way.

Computed danger · scouting

Players to watch

NYI
Anders Lee9G 20A
1.20 xG/60 · 2 HD · 6.4% sh
Bo Horvat18G 10A
0.87 xG/60 · 3 HD · 12.8% 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