Backcheck
Recap · SEA at NYR

Kraken hold off the Rangers

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

By the ModelJul 12, 12:27 AMxG: xgboost-0.758Edited for clarity
Away
SEA
Seattle Kraken
4
Home
NYR
New York Rangers
2
FINAL
Process vs result

The underlying story

3.66Expected goals2.61
58% share for the better side
29Shot attempts (SOG)22
6High-danger chances4
43Corsi (all attempts)58
Score-adjusted: 44% / 56%
Source · NHL play-by-play · XGBoost xG

The Kraken beat the Rangers 4-2, and the underlying indicators justified every goal. Seattle's shots were significantly more threatening—0.085 expected goals per attempt versus New York's 0.045—nearly doubling the danger per look. Over the full game, this translated to 5v5 expected goals of 3.66–2.61, a spread that predicted exactly this outcome.

Seattle's edge came from clinical finishing in high-leverage situations. The Kraken put away 3 of 6 high-danger chances (50%), while the Rangers generated only 4 such looks. Seattle also created 3 rebound opportunities and converted 1, evidence of a team willing to win second chances. The Rangers held 43% of shot attempts but never matched Seattle's execution.

Jared McCann's wrist shot from the wing in the third period marked the turning point. P. Grubauer (SEA) made 20 saves on 22 shots (+0.61 vs. expected), while J. Quick (NYR) stopped 25 of 28 (+0.66)—both goalies performed well, but neither decided the game. The Kraken won this one through superior play at even strength.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA3 / 6 · 1.77 xG
NYR1 / 4 · 0.88 xG
Medium dangermid-range
SEA1 / 11 · 1.31 xG
NYR1 / 11 · 1.13 xG
Low dangerperimeter & point
SEA0 / 26 · 0.57 xG
NYR0 / 43 · 0.60 xG

SEA went 3-for-6 from high danger on 1.77 expected goals — 1.2 above expected.

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

Finishing vs expected

expectedactual
SEA
4 G · 3.66 xG · +0.3
NYR
2 G · 2.61 xG · -0.6
012345
Goalies · GSAx (goals saved above expected)
P. GrubauerSEA
+0.6
J. QuickNYR
+0.7

SEA finished +0.3 against expected, NYR -0.6 — J. Quick (NYR) saved 0.7 goals above expected.

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

Shot diet

goalsshots
SEA
WRIST3/24
SNAP1/11
SLAP0/3
TIP IN0/1
DEFLECTED0/1
BACKHAND0/0
OTHER0/3
NYR
WRIST2/18
SNAP0/9
SLAP0/3
TIP IN0/4
DEFLECTED0/2
BACKHAND0/2
OTHER0/20
SEA
NYR
Off the rush
1 G on 23 · 2.01 xG
1 G on 25 · 1.91 xG
Off rebounds
1 G on 3 · 0.86 xG
0 G on 1 · 0.14 xG

Wrist shots carried the volume: SEA went 3-for-24, NYR 2-for-18.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
R. Lindgren
#55 · D · SEA
0 G · 1 A · 1 SOG · 22:12 TOI · +2
A. Panarin
#10 · L · NYR
0 G · 1 A · 1 SOG · 21:17 TOI · -2
M. Beniers
#10 · C · SEA
0 G · 1 A · 1 SOG · 20:14 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • SEA had the higher quality looks — 0.085 xG/shot vs 0.045.
  • SEA was clinical in the high-danger zone — 3/6 on HD chances (50%).
  • SEA created 3 rebound opportunities (1 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · SEA at NYR · 7:00 PM ET

Kraken at Rangers: a genuine coin flip

By the ModelJul 12, 12:26 AMEdited for clarity
Win probability

The model's lean

54%
NYR
Model favorite
46%
54%
SEA50NYR

NYR by 8 points of win probability — a modest lean. Projected score SEA 2.32.5 NYR; 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 →NYR
46.0%5v5 xG%48.0%
45.0%Corsi%49.0%
2.13xGF / 602.26
2.51xGA / 602.40
1.87Goals for / gm1.88
1.95Goals against / gm1.90
1.011PDO — luck, not skill1.009

NYR holds 6 of 6 process categories — and PDO (1.011 vs 1.009) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

The models say this is nearly a pick'em. Vegas projects Seattle at 2.3–2.5 goals against New York's expected output, with the Rangers at 54% win probability. That margin is narrow enough that either team winning tells you almost nothing about which is better.

Seattle is the hotter team by points pace, riding 7-1-2 over their last 10. New York is underwater at -10 goal differential in the same span. But form can mask underlying strength, and the underlying numbers here are tangled.

The Rangers drive territorial advantage at 49.0% Corsi, which predicts shot volume to follow. Seattle counters at 46.0% xG, still respectable enough to stay competitive. The tension is New York's 48.0% xG paired with their Corsi dominance—they control possession without necessarily creating the best chances. Seattle's 1.011 PDO versus New York's 1.009 suggests neither is riding unsustainable luck.

The J. Daccord variable matters. He's on a back-to-back, and depending on Seattle's goalie choice, this shifts leverage. A tired starter plays different from a fresh backup.

The edges live in the players. Shane Wright carries 0.77 xG per 60 minutes and has banked 8 goals and 10 assists with 4 high-danger goals at a 10.4% shooting rate—he's both creating and converting at a sustainable clip. Berkly Catton (0.68 xG/60, 6G 8A, 5 HD goals, 8.8% shooting) is steadier in volume but equally dangerous. Adam Sykora (0.91 xG/60, 3G 1A, 20.0% shooting) represents the opposite extreme: small sample, enormous rate, pure upside. Gabe Perreault (0.79 xG/60, 8G 11A, 2 HD goals, 13.1% shooting) strikes a balance and can elevate fast.

New York's defensive weak link is Vincent Iorio. Seattle's is Chandler Stephenson. Both become liabilities in tight, territorial hockey.

Neither team has generated a meaningful high-danger or rebound goal rate this season, which narrows the margin for error. That favors whichever goaltender is sharpest tonight.

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
NYR
Adam Sykora3G 1A
0.91 xG/60 · 0 HD · 20.0% sh
Gabe Perreault8G 11A
0.79 xG/60 · 2 HD · 13.1% sh
Source · MoneyPuck skaters