Motion-blurred skater in a Seattle Kraken sweater
Breakdown · SEA at WPG

Kraken shut out the Jets, 3-0

The verdict · earned

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

SEA 3 · WPG 0
◆ By the ModelJul 11, 12:51 PMxG: xgboost-0.758Edited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

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.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Oct 23
SEA
3
WPG
0

Kraken shut out the Jets, 3-0

Chances 3.3 – 2.5Did they deserve it? →
Did they deserve it?

The Kraken earned this one.

Expected goals · chance value
SEA
3.26
WPG
2.55
56% of the chances44%

The board read SEA 3, WPG 0. The chances read SEA 3.3, WPG 2.5.

Our xG model · NHL play-by-play · all situations
Luck check
SEA
−0.3
goals above expected
SEA3.26 expected · 3 scored
Expected
Scored
WPG2.55 expected · 0 scored
Expected
Scored

The Jets left 2.5 goals on the table against what their chances were worth.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P2 02:28SEAJ. Schwartz1–0
  2. P3 18:20SEAJ. SchwartzEN2–0
  3. P3 18:43SEAJ. EberleEN3–0
NHL play-by-play · chance value from our xG model
Where the shots came from
SEA
39 shots
3
Final
86 shots
WPG
47 shots
0
SEA attackWPG attack
SEA WPG Goal
39
shots · 3 in
47
shots · 0 in
Every unblocked shot · press play to replay it
Chances by danger
SEAWPG
3 / 4
1.77 xG
High danger
0 / 1
0.18 xG
0 / 7
0.82 xG
Medium
0 / 13
1.59 xG
0 / 42
0.68 xG
Low
0 / 48
0.78 xG

The Kraken buried 3 of 4 high-danger looks.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A+
J. Daccord
+2.5
SEA · 32/32
A
C. Hellebuyck
+2.3
WPG · 25/26
The numbers, checked
BACKCHECK

Kraken shut out the Jets, 3-0

A model, not a newsroom. Every number on these frames comes from the NHL's play-by-play and our own models. Nothing was watched, guessed or heard from anyone.

Read the full breakdown
backcheckreport.com
01 / 08 · Final
Every goal, in order

How it happened

NHL play-by-play
1stshots 9–11no goals
    2ndshots 11–8
    1. 02:28SEAJ. Schwartz(S. Wright, A. Larsson)1–0
    3rdshots 8–13
    1. 18:20SEAJ. Schwartzempty net2–0
    2. 18:43SEAJ. Eberleempty net(J. Schwartz, J. Daccord)3–0

    score reads SEA–WPG

    Source · NHL play-by-play (api-web.nhle.com)
    Process vs result

    The numbers

    XGBoost xG · NHL play-by-play
    3.26
    SEA chances
    Goals their shots were worth
    −0.3
    Finishing
    Goals below what those chances were worth
    1.057
    SEA puck luck
    Above 1.000 — the bounces went their way
    46.1%
    Shot attempts
    Under half — they were outshot
    Split by club

    Who controlled the game

    3.26Expected goals2.55
    SEA 56% of the chance quality
    28Shots on goal32
    4High-danger chances1
    53All attempts (Corsi)62
    Adjusted for score: SEA 44% · WPG 56%
    Faceoffs · WPG won65%off82%neu35%def
    Source · NHL play-by-play · XGBoost xG
    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

    SEA finished -0.3 against expected, WPG -2.5.

    Source · Backcheck xG model
    Shot types · rush and rebound chancesopen +
    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
    New to these numbers?

    Two things happened in this game: who created the better chances, and who put the puck in the net. They are not the same thing, and this page separates them on purpose.

    The one to watch is expected goals— the best single read on who deserved to win. When it disagrees with the scoreboard, that disagreement is usually the story. Nothing here is a projection; every figure is computed from this game's play-by-play. Full glossary →

    xG
    Expected goals. Every shot scored by how often that exact look goes in. 2.5 xG means the chances were worth about two and a half goals.
    HD
    High-danger chances — shots from the slot and the crease, where shots actually become goals.
    Corsi
    Every shot attempt, including the ones that missed or got blocked. A rough read on who had the puck.
    Adj.
    Score-adjusted. Teams that trail shoot more and teams that lead sit back, so this corrects the attempt count for the scoreboard.
    GSAx
    Goals saved above expected. A positive number means the goalie stopped more than an average goalie would have on those shots.
    PDO
    Shooting % plus save % — a luck gauge. It sits near 1.000 over a season, so a game far from it usually means the bounces decided it.
    Shot by shot

    In the net

    Graded on goals saved above expected
    J. Daccord
    SEA · 32/32 · 1.000
    +2.5
    saved above expected
    A+
    the night
    By dangerG/attxGsaved
    High danger0/10.2+0.2
    Medium0/131.6+1.6
    Low0/480.8+0.8

    A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

    C. Hellebuyck
    WPG · 25/26 · .962
    +2.3
    saved above expected
    A
    the night
    By dangerG/attxGsaved
    High danger3/41.8-1.2
    Medium0/70.8+0.8
    Low0/420.7+0.7

    A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

    86 shots · press play to watch the game back

    Where the shots came from

    NHL play-by-play coordinates
    SEA
    39 shots
    3
    Final
    86 shots
    WPG
    47 shots
    0
    SEA attackWPG attack
    SEA WPG Goal

    Each club shoots toward its own end — SEA left, WPG right — the way you would watch it. A dot's size is how dangerous the look was, from distance and angle; it is a proxy for shot quality, not the xG model the article is written from. Hover a dot for the shooter and the clock.

    Ranked from the box score

    Three stars

    Points first
    Three stars · computed, not voted
    J. Schwartz
    #17 · L · SEA
    2 G · 1 A · 2 SOG · 14:42 on ice · +3
    A. Larsson
    #6 · D · SEA
    0 G · 1 A · 1 SOG · 27:17 on ice · +3
    J. Eberle
    #7 · R · SEA
    1 G · 0 A · 2 SOG · 17:26 on ice · +2
    Ranked from the box score — points first · Backcheck
    What the model said beforehand

    Before the game

    Written Thu, Oct 23
    Open the pre-game read
    Written from the numbers

    The read

    Edited for clarity
    ◆ By the ModelJul 11, 12:49 PMEdited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

    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.

    What the model said beforehand

    The model's lean

    WPG 54%
    53%
    WPG
    Model favorite
    47%
    53%
    SEA50WPG

    WPG by 6 points of win probability — a modest lean. Projected score SEA 2.3–2.5 WPG; 19% chance it's tied after 60.

    Source · Backcheck Poisson projection · season scoring rates
    Season rates · 5v5

    Tale of the tape

    NHL stats API · our xG
    SEA← edge
    edge →WPG
    46.0%48.0%
    45.0%49.0%
    2.132.34
    2.512.55
    1.871.90
    1.952.10
    1.0110.998

    WPG holds 4 of 6 process categories — and the luck row (1.011 vs 0.998) says SEA has been getting the bounces, which tends not to last.

    Source · NHL stats API + our xG · 5v5
    Form · Last 10
    SEA
    4-3-3
    -5 GD · 2d rest
    WPG
    7-3-0
    +8 GD · 2d rest
    1.011
    SEA PDO
    Luck gauge · drifts to 1.000
    0.998
    WPG PDO
    Luck gauge · drifts to 1.000
    What decides it

    Keys to the game

    Where the edges live
    • The Jets drive Corsi at 49.0% — expect territorial tilt.
    Things to watch
    • The Jets drive Corsi at 49.0% — expect territorial tilt.
    • The Kraken are underwater at -5 goal differential over their last 10.
    Last game's lineup · confirmed at warm-up

    Lineups

    NHL box score
    SEA
    Expected in goal
    M. Murray
    2 days rest.909 last start
    Backup Joey Daccord · -6.2 GSAx this season

    No completed game on file for this club yet.

    WPG
    Expected in goal
    C. Hellebuyck
    2 days rest.970 last start
    Backup Connor Hellebuyck · +5.5 GSAx this season

    No completed game on file for this club yet.

    Lineups are the players who dressed in each club's last game, with their minutes; clubs confirm tonight's at warm-up. Every player this preview names was in that lineup.

    Computed danger · scouting

    Players to watch

    NHL stats API · our xG
    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
    Keep going

    Where to next