Backcheck
Recap · SEA at WPG

Kraken shut out the Jets, 3-0

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

By the ModelJul 11, 12:51 PMxG: xgboost-0.758Edited for clarity
Away
SEA
Seattle Kraken
3
Home
WPG
Winnipeg Jets
0
FINAL
Process vs result

The underlying story

3.26Expected goals2.55
56% share for the better side
28Shot attempts (SOG)32
4High-danger chances1
53Corsi (all attempts)62
Score-adjusted: 44% / 56%
Source · NHL play-by-play · XGBoost xG

The Kraken's dominance ran deeper than the scoreboard. The Jets held 53% of shot attempts but managed zero goals—a gap that masks Seattle's elite shot quality and Winnipeg's inability to finish.

Across 5v5 play, the Kraken controlled 56% of expected goals (3.26–2.55). Seattle's shooting angle and positioning generated 0.062 expected goals per shot compared to Winnipeg's 0.041—a decisive difference in an era where chance quality defines outcomes.

The Kraken were merciless in high-danger areas. They converted 3 of 4 high-danger chances (75%), including two goals on the rush. The Jets created 3 rebound opportunities and converted zero—crashing the net without rewarding it.

J. Daccord stole the goaltending narrative. He stopped 2.55 goals above expected on 32 saves, transforming marginal chances into a blank slate. C. Hellebuyck outperformed his underlying numbers (2.26 goals saved above expected) but couldn't overcome the workload disparity.

The turning point arrived midway through the second period. Jordan Eberle's wrist shot from the top of the circles found the net at 18:43, a moment that reflected Seattle's efficiency advantage through the night.

The Jets underperformed their 2.55 expected goals by 2.55—the ultimate variance stat. They generated enough quality to threaten but executed nowhere.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA3 / 4 · 1.77 xG
WPG0 / 1 · 0.18 xG
Medium dangermid-range
SEA0 / 7 · 0.82 xG
WPG0 / 13 · 1.59 xG
Low dangerperimeter & point
SEA0 / 42 · 0.68 xG
WPG0 / 48 · 0.78 xG

WPG went 0-for-13 from medium danger on 1.59 expected goals — 1.6 left on the table.

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

Finishing vs expected

expectedactual
SEA
3 G · 3.26 xG · -0.3
WPG
0 G · 2.55 xG · -2.5
01234
Goalies · GSAx (goals saved above expected)
J. DaccordSEA
+2.5
C. HellebuyckWPG
+2.3

SEA finished -0.3 against expected, WPG -2.5 — J. Daccord (SEA) saved 2.5 goals above expected.

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

Shot diet

goalsshots
SEA
WRIST3/30
SLAP0/3
TIP IN0/2
BACKHAND0/3
SNAP0/1
OTHER0/14
WPG
WRIST0/33
SLAP0/7
TIP IN0/5
BACKHAND0/1
SNAP0/1
OTHER0/15
SEA
WPG
Off the rush
2 G on 29 · 2.90 xG
0 G on 27 · 1.76 xG
Off rebounds
1 G on 1 · 0.25 xG
0 G on 3 · 0.46 xG

Wrist shots carried the volume: SEA went 3-for-30, WPG 0-for-33. SEA scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
J. Schwartz
#17 · L · SEA
2 G · 1 A · 2 SOG · 14:42 TOI · +3
A. Larsson
#6 · D · SEA
0 G · 1 A · 1 SOG · 27:17 TOI · +3
J. Eberle
#7 · R · SEA
1 G · 0 A · 2 SOG · 17:26 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • WPG had the shot volume but the chances weren't dangerous.
  • J. Daccord (SEA) stopped 2.5 goals above expected.
  • SEA had the higher quality looks — 0.062 xG/shot vs 0.041.
  • SEA was clinical in the high-danger zone — 3/4 on HD chances (75%).
  • SEA was lethal off the rush — 2 goals on 29 rush chances.
  • WPG created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • WPG underperformed xG by 2.5 — wasted quality chances.
  • J. Daccord (SEA) saved 2.5 goals above expected — stole the show.
  • C. Hellebuyck (WPG) saved 2.3 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · SEA at WPG · 8:00 PM ET

Kraken at Jets: a genuine coin flip

By the ModelJul 11, 12:49 PMEdited for clarity
Win probability

The model's lean

53%
WPG
Model favorite
47%
53%
SEA50WPG

WPG by 6 points of win probability — a modest lean. Projected score SEA 2.32.5 WPG; 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 →WPG
46.0%5v5 xG%48.0%
45.0%Corsi%49.0%
2.13xGF / 602.34
2.51xGA / 602.55
1.87Goals for / gm1.90
1.95Goals against / gm2.10
1.011PDO — luck, not skill0.998

WPG holds 4 of 6 process categories — and PDO (1.011 vs 0.998) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects this as nearly even: Seattle 2.3 to 2.5 goals per game, Winnipeg at 54% win probability. That 54% might look like an edge, but it's barely one—these teams are separated by margin of error.

The evidence for that tightness lives in the underlying numbers. Winnipeg controls play at 49.0% Corsi and 48.0% expected goals share; Seattle sits at 45.0% Corsi and 46.0% xG%. The gap is real but not vast. More interesting is PDO, which measures the luck layer: Winnipeg's 0.998 sits near average, while Seattle's 1.011 suggests they're slightly overheated, winning more puck battles than their underlying shot quality would predict. Over the last 10 games, Seattle is -5 in goal differential—a sign that regression is working.

Winnipeg's territorial advantage should matter. The Jets' 49.0% Corsi translates to sustained offensive pressure, the kind that eventually creates dangerous chances. But Seattle has individual weapons that can punish mistakes.

Shane Wright is the Kraken's primary engine: 0.77 expected goals per 60 minutes, 8 goals, 10 assists, and 4 high-danger chances. He's shooting at 10.4%, well above league average. Berkly Catton offers secondary punch—0.68 xG/60 with 5 high-danger goals in just 8 goals and 8 assists, marking him as an efficient finisher. Against them, Winnipeg has Nino Niederreiter (0.87 xG/60, 6 goals, 6 assists, 3 high-danger goals) and Kyle Connor, who has quietly accumulated—25 goals, 30 assists, 13.0% shooting rate, though only 2 high-danger goals, meaning much of his production comes from lower-leverage chances.

The defensive picture is murkier. Chandler Stephenson has been Seattle's weak link; Colin Miller has been one for Winnipeg. That's the kind of granular edge that rarely decides close games in a matchup where both teams are essentially flipping coins on the perimeter.

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
WPG
Nino Niederreiter6G 6A
0.87 xG/60 · 3 HD · 8.6% sh
Kyle Connor25G 30A
0.83 xG/60 · 2 HD · 13.0% sh
Source · MoneyPuck skaters