Motion-blurred skater in a Minnesota Wild sweater
Breakdown · MIN at SEA

Wild run the Kraken off the ice on the underlying numbers

The verdict · earned

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

MIN 4 · SEA 1
◆ By the ModelJul 11, 7:38 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

Minnesota's 4–1 victory was dominant by every underlying measure. The Wild controlled 67% of 5v5 expected goals (5.64–2.75), but the starkest gap was Seattle's shot profile: they held 45% of attempts (24–29) while generating only 33% of expected goals. Volume meant nothing without quality.

That quality gap extended to everything. Minnesota averaged 0.084 expected goals per shot; Seattle, 0.044. The high-danger chances split 8–4 Wild. Seattle created four rebound opportunities (converting zero) and threw bodies at the net. Minnesota created three rebounds (also zero conversions) but buried 2 goals on 33 rush chances.

Goaltending masked the margin slightly. F. Gustavsson (MIN) posted a 0.958 save percentage, stopping 1.75 goals above expected. P. Grubauer (SEA) was even more exceptional, saving 3.64 above expected on a 0.926 SV%. Both teams underperformed their xG, yet the underlying dominance still buried Seattle—the game ended as the data promised.

Vladimir Tarasenko's wrist shot from the point sealed the result.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Dec 8
MIN
4
SEA
1

Wild run the Kraken off the ice on the underlying numbers

Chances 5.6 – 2.8Did they deserve it? →
Did they deserve it?

The Wild earned this one.

Expected goals · chance value
MIN
5.64
SEA
2.75
67% of the chances33%

The board read MIN 4, SEA 1. The chances read MIN 5.6, SEA 2.8.

Our xG model · NHL play-by-play · all situations
Luck check
MIN
−1.6
goals above expected
MIN5.64 expected · 4 scored
Expected
Scored
SEA2.75 expected · 1 scored
Expected
Scored

The Kraken left 1.8 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 01:18MINJ. Eriksson Ek1–0
  2. P2 06:48SEAJ. EberlePP1–1
  3. P3 08:12MINM. Johansson2–1
  4. P3 18:45MINK. KaprizovEN3–1
  5. P3 19:00MINV. TarasenkoEN4–1
NHL play-by-play · chance value from our xG model
Where the shots came from
MIN
46 shots
4
Final
91 shots
SEA
45 shots
1
MIN attackSEA attack
MIN SEA Goal
46
shots · 4 in
45
shots · 1 in
Every unblocked shot · press play to replay it
Chances by danger
MINSEA
3 / 8
3.20 xG
High danger
1 / 4
0.90 xG
0 / 16
1.83 xG
Medium
0 / 9
1.05 xG
1 / 43
0.61 xG
Low
0 / 50
0.80 xG

The Wild buried 3 of 8 high-danger looks.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A+
P. Grubauer
+3.6
SEA · 25/27
A
F. Gustavsson
+1.8
MIN · 23/24
The numbers, checked
BACKCHECK

Wild run the Kraken off the ice on the underlying numbers

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 10–8no goals
    2ndshots 9–6
    1. 01:18MINJ. Eriksson Ek(M. Boldy, J. Middleton)1–0
    2. 06:48SEAJ. Eberlepower play(C. Stephenson, J. McCann)1–1
    3rdshots 10–10
    1. 08:12MINM. Johansson(J. Eriksson Ek)2–1
    2. 18:45MINK. Kaprizovempty net(N. Sturm, J. Spurgeon)3–1
    3. 19:00MINV. Tarasenkoempty net(J. Eriksson Ek)4–1

    score reads MIN–SEA

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

    The numbers

    XGBoost xG · NHL play-by-play
    5.64
    MIN chances
    Goals their shots were worth
    −1.6
    Finishing
    Goals below what those chances were worth
    1.044
    MIN puck luck
    Above 1.000 — the bounces went their way
    51.5%
    Shot attempts
    Over half — they had the puck more
    Split by club

    Who controlled the game

    5.64Expected goals2.75
    MIN 67% of the chance quality
    29Shots on goal24
    8High-danger chances4
    67All attempts (Corsi)63
    Adjusted for score: MIN 50% · SEA 50%
    Faceoffs · SEA won46%off72%neu47%def
    Source · NHL play-by-play · XGBoost xG
    How the game was won

    The danger ladder

    shotsgoalsexpected
    High dangerslot & crease
    MIN3 / 8 · 3.20 xG
    SEA1 / 4 · 0.90 xG
    Medium dangermid-range
    MIN0 / 16 · 1.83 xG
    SEA0 / 9 · 1.05 xG
    Low dangerperimeter & point
    MIN1 / 43 · 0.61 xG
    SEA0 / 50 · 0.80 xG

    MIN went 0-for-16 from medium danger on 1.83 expected goals — 1.8 left on the table.

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

    Finishing vs expected

    expectedactual
    MIN
    4 G · 5.64 xG · -1.6
    SEA
    1 G · 2.75 xG · -1.8
    0123456

    MIN finished -1.6 against expected, SEA -1.8.

    Source · Backcheck xG model
    Shot types · rush and rebound chancesopen +
    What they shot — and what went in

    Shot diet

    goalsshots
    MIN
    WRIST1/24
    SNAP1/7
    TIP IN1/9
    SLAP0/1
    BACKHAND1/5
    DEFLECTED0/0
    BAT0/0
    OTHER0/21
    SEA
    WRIST0/22
    SNAP0/7
    TIP IN1/5
    SLAP0/8
    BACKHAND0/0
    DEFLECTED0/2
    BAT0/1
    OTHER0/18
    MIN
    SEA
    Off the rush
    2 G on 33
    2.84 xG
    1 G on 26
    1.94 xG
    Off rebounds
    0 G on 3
    0.32 xG
    0 G on 4
    0.50 xG

    Wrist shots carried the volume: MIN went 1-for-24, SEA 0-for-22. MIN 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
    F. Gustavsson
    MIN · 23/24 · .958
    +1.8
    saved above expected
    A
    the night
    By dangerG/attxGsaved
    High danger1/40.9-0.1
    Medium0/91.1+1.1
    Low0/500.8+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

    P. Grubauer
    SEA · 25/27 · .926
    +3.6
    saved above expected
    A+
    the night
    By dangerG/attxGsaved
    High danger3/83.2+0.2
    Medium0/161.8+1.8
    Low1/430.6-0.4

    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

    91 shots · press play to watch the game back

    Where the shots came from

    NHL play-by-play coordinates
    MIN
    46 shots
    4
    Final
    91 shots
    SEA
    45 shots
    1
    MIN attackSEA attack
    MIN SEA Goal

    Each club shoots toward its own end — MIN left, SEA 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. Eriksson Ek
    #14 · C · MIN
    1 G · 2 A · 6 SOG · 21:04 on ice · +3
    K. Kaprizov
    #97 · L · MIN
    1 G · 0 A · 3 SOG · 23:08 on ice · +1
    M. Boldy
    #12 · L · MIN
    0 G · 1 A · 2 SOG · 22:49 on ice · +3
    Ranked from the box score — points first · Backcheck
    What the model said beforehand

    Before the game

    Written Mon, Dec 8
    Open the pre-game read
    Written from the numbers

    The read

    Edited for clarity
    ◆ By the ModelJul 11, 7:35 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 a 2.5-2.4 matchup, Minnesota favored, with the Wild at 53% win probability—that's as close to neutral as forecasts get. Both teams' recent trajectories tell you why.

    Minnesota has surged to 7-2-1 over their last 10 games. Seattle has fallen apart in the same span, sitting -7 in goal differential—a decline suggesting sustained play collapse or unlucky variance in close games.

    At even strength, Minnesota claims the underlying edge. The Wild post 52.0% xG to the Kraken's 46.0%, and their Corsi% advantage runs 48.0% to 45.0%. Both teams sit near neutral on PDO (MIN 1.007, SEA 1.011), meaning neither has leaned on lucky bounces.

    Both starters land on back-to-backs. Watch for J. Daccord or J. Wallstedt to play in relief or appear fatigued; that variable alone could swing the game.

    On offense, Matt Boldy anchors Minnesota's attack. He carries 0.89 xG/60, 22 goals, and a 13.7% shooting percentage that has converted his expected chances into actual production; he also owns 5 hard-chance goals. Robby Fabbri pairs 0.88 xG/60 with a 6.9% shooting rate, but is marked likely out. Seattle's Shane Wright checks in at 0.77 xG/60 with 8 goals and 4 hard-chance goals. Berkly Catton (0.68 xG/60, 6 goals, 5 hard-chance goals) provides secondary depth.

    Minnesota's Matt Kiersted represents a defensive liability; Seattle's Chandler Stephenson is the weak link on the back end. Both squads show 0% hard-goal and 0% rebound-goal rates—a tracking gap or sign both teams are starved for true high-danger chances. Minnesota's xG% edge is narrow enough that goaltending variance, fatigue, or a single hot streak flips the result.

    What the model said beforehand

    The model's lean

    MIN 53%
    53%
    MIN
    Model favorite
    53%
    47%
    MIN50SEA

    MIN by 6 points of win probability — a modest lean. Projected score MIN 2.5–2.4 SEA; 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
    MIN← edge
    edge →SEA
    52.0%46.0%
    48.0%45.0%
    2.552.13
    2.402.51
    2.041.87
    1.931.95
    1.0071.011

    MIN holds 6 of 6 process categories — and the luck row (1.007 vs 1.011) says SEA has been getting the bounces, which tends not to last.

    Source · NHL stats API + our xG · 5v5
    Form · Last 10
    MIN
    7-2-1
    +7 GD · 1d rest
    SEA
    4-5-1
    -7 GD · 1d rest
    1.007
    MIN PDO
    Luck gauge · drifts to 1.000
    1.011
    SEA PDO
    Luck gauge · drifts to 1.000
    What decides it

    Keys to the game

    Where the edges live
    • The Wild own the underlying play — 52.0% 5v5 xG vs 46.0%.
    Things to watch
    • The Wild own the underlying play — 52.0% 5v5 xG vs 46.0%.
    • J. Daccord is on a back-to-back — watch for a backup start or a tired starter.
    • J. Wallstedt is on a back-to-back — watch for a backup start or a tired starter.
    • The Wild are the hotter team by points pace (7-2-1 in their last 10).
    • The Kraken are underwater at -7 goal differential over their last 10.
    Last game's lineup · confirmed at warm-up

    Lineups

    NHL box score
    MIN
    Expected in goal
    J. Wallstedt
    back-to-back.810 last start
    Backup Filip Gustavsson · +1.4 GSAx this season
    Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

    No completed game on file for this club yet.

    SEA
    Expected in goal
    J. Daccord
    back-to-back.840 last start
    Backup Joey Daccord · -6.2 GSAx this season
    Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

    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
    MIN
    Matt Boldy22G 18A
    0.89 xG/60 · 5 HD · 13.7% sh
    Robby Fabbri2G 3A
    0.88 xG/60 · 1 HD · 6.9% 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
    Keep going

    Where to next