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

Wild edge the Kraken in overtime

The verdict · coin flip

The Wild won a genuine coin flip — neither side controlled the run of play.

MIN 3 · SEA 2
◆ By the ModelJul 12, 12:20 AMxG: 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 won 3-2 in overtime, but the underlying numbers favored Seattle. The Kraken generated 3.84 expected goals to the Wild's 3.65—a 51-49 split that predicted a close result or a Kraken win. Instead, Seattle underperformed its xG by 1.84 goals, wasting quality chances while Minnesota capitalized on weaker looks.

The Kraken controlled shot geography: 45% of shot attempts, 28 on goal to Minnesota's 34. But volume and positioning didn't translate to results. Minnesota went 0-for-6 on high-danger chances, a rare collapse that typically punishes teams. Minnesota escaped this self-inflicted wound through atypical low-danger finishing: two goals from spots where opposing goaltenders live to make saves.

Goaltending proved decisive. J. Wallstedt (MIN) made 26 saves on 28 shots and finished +1.84 above expected, stealing the game with an exceptional performance. P. Grubauer (SEA) was no liability—31 saves on 34 shots, +0.65 above expected—but when skaters leave 1.8 goals on the table, a resilient night from your goalie cannot overcome the deficit.

Minnesota's efficiency off the rush was the true difference: three goals on 28 rush chances. Seattle created nine rebound opportunities and converted two; Minnesota created three and converted none. Rush scoring is the hardest angle to defend.

Mats Zuccarello's wrist shot from the slot at 02:09 of overtime was the turning point, ending a game Seattle probably deserved on volume alone.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · OT · Jan 8
MIN
3
SEA
2

Wild edge the Kraken in overtime

Chances 3.6 – 3.8Did they deserve it? →
Did they deserve it?

Dead even on chances. The Wild took it anyway.

Expected goals · chance value
MIN
3.65
SEA
3.84
49% of the chances51%

The board read MIN 3, SEA 2. The chances read MIN 3.6, SEA 3.8.

Our xG model · NHL play-by-play · all situations
Luck check
MIN
−0.7
goals above expected
MIN3.65 expected · 3 scored
Expected
Scored
SEA3.84 expected · 2 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. P1 05:00MINR. Hartman1–0
  2. P1 15:54MINB. Faber2–0
  3. P3 03:13SEAA. Larsson2–1
  4. P3 09:07SEAM. BeniersPP2–2
  5. OT 02:09MINM. Zuccarello3–2
NHL play-by-play · chance value from our xG model
Where the shots came from
MIN
46 shots
3
Final
100 shots
SEA
54 shots
2
MIN attackSEA attack
MIN SEA Goal
46
shots · 3 in
54
shots · 2 in
Every unblocked shot · press play to replay it
Chances by danger
MINSEA
0 / 6
1.42 xG
High danger
1 / 5
1.28 xG
1 / 13
1.48 xG
Medium
0 / 18
1.77 xG
2 / 46
0.75 xG
Low
1 / 40
0.79 xG

High-danger looks: MIN 0 of 6, SEA 1 of 5.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A
J. Wallstedt
+1.8
MIN · 26/28
B
P. Grubauer
+0.7
SEA · 31/34
The numbers, checked
BACKCHECK

Wild edge the Kraken in overtime

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 10–11
  1. 05:00MINR. Hartman(K. Kaprizov)1–0
  2. 15:54MINB. Faber(Q. Hughes, M. Boldy)2–0
2ndshots 8–6no goals
    3rdshots 12–11
    1. 03:13SEAA. Larsson(V. Dunn)2–1
    2. 09:07SEAM. Benierspower play(J. McCann, V. Dunn)2–2
    OTshots 4–0
    1. 02:09MINM. Zuccarello(K. Kaprizov, B. Faber)3–2

    score reads MIN–SEA

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

    The numbers

    XGBoost xG · NHL play-by-play
    3.65
    MIN chances
    Goals their shots were worth
    −0.7
    Finishing
    Goals below what those chances were worth
    1.014
    MIN puck luck
    About 1.000 — a normal night for bounces
    50.8%
    Shot attempts
    Over half — they had the puck more
    Split by club

    Who controlled the game

    3.65Expected goals3.84
    SEA 51% of the chance quality
    34Shots on goal28
    6High-danger chances5
    65All attempts (Corsi)63
    Adjusted for score: MIN 46% · SEA 54%
    Faceoffs · SEA won61%off59%neu59%def
    Source · NHL play-by-play · XGBoost xG
    How the game was won

    The danger ladder

    shotsgoalsexpected
    High dangerslot & crease
    MIN0 / 6 · 1.42 xG
    SEA1 / 5 · 1.28 xG
    Medium dangermid-range
    MIN1 / 13 · 1.48 xG
    SEA0 / 18 · 1.77 xG
    Low dangerperimeter & point
    MIN2 / 46 · 0.75 xG
    SEA1 / 40 · 0.79 xG

    SEA went 0-for-18 from medium danger on 1.77 expected goals — 1.8 left on the table.

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

    Finishing vs expected

    expectedactual
    MIN
    3 G · 3.65 xG · -0.7
    SEA
    2 G · 3.84 xG · -1.8
    012345

    MIN finished -0.7 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
    WRIST3/29
    SLAP0/4
    SNAP0/5
    BACKHAND0/4
    TIP IN0/2
    DEFLECTED0/2
    BAT0/0
    OTHER0/19
    SEA
    WRIST1/32
    SLAP1/9
    SNAP0/5
    BACKHAND0/3
    TIP IN0/4
    DEFLECTED0/0
    BAT0/1
    OTHER0/9
    MIN
    SEA
    Off the rush
    3 G on 28
    2.75 xG
    0 G on 27
    1.80 xG
    Off rebounds
    0 G on 3
    0.36 xG
    2 G on 9
    1.18 xG

    Wrist shots carried the volume: MIN went 3-for-29, SEA 1-for-32. MIN scored 3 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. Wallstedt
    MIN · 26/28 · .929
    +1.8
    saved above expected
    A
    the night
    By dangerG/attxGsaved
    High danger1/51.3+0.3
    Medium0/181.8+1.8
    Low1/400.8-0.2

    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 · 31/34 · .912
    +0.7
    saved above expected
    B
    the night
    By dangerG/attxGsaved
    High danger0/61.4+1.4
    Medium1/131.5+0.5
    Low2/460.8-1.3

    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

    100 shots · press play to watch the game back

    Where the shots came from

    NHL play-by-play coordinates
    MIN
    46 shots
    3
    Final
    100 shots
    SEA
    54 shots
    2
    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
    B. Faber
    #7 · D · MIN
    1 G · 1 A · 3 SOG · 29:09 on ice · +2
    V. Dunn
    #29 · D · SEA
    0 G · 2 A · 4 SOG · 25:32 on ice
    K. Kaprizov
    #97 · L · MIN
    0 G · 2 A · 4 SOG · 24:44 on ice · +1
    Ranked from the box score — points first · Backcheck
    What the model said beforehand

    Before the game

    Written Thu, Jan 8
    Open the pre-game read
    Written from the numbers

    The read

    Edited for clarity
    ◆ By the ModelJul 12, 12:00 AMEdited 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 53% win probability—2.5 expected goals to Seattle's 2.4—qualifies as a genuine coin flip.

    The Wild's slim edge reflects superior even-strength control. They command 52.0% of 5v5 expected goals versus Seattle's 46.0%, a meaningful gap that shows up in Corsi as well: 48.0% to 45.0%. PDO runs nearly identical (1.007 and 1.011), meaning luck isn't hiding a deeper imbalance.

    J. Daccord plays a back-to-back. Seattle will likely deploy him if the game stays close, accepting tired legs over a fresh backup—a gamble that could swing the goaltending margin.

    Players to Watch

    MIN

    • Matt Boldy — 0.89 xG/60, 22G 18A, 5 HD goals, 13.7% shooting.
    • Robby Fabbri — 0.88 xG/60, 2G 3A, 1 HD goal, 6.9% shooting. Listed as inactive.

    SEA

    • Shane Wright — 0.77 xG/60, 8G 10A, 4 HD goals, 10.4% shooting.
    • Berkly Catton — 0.68 xG/60, 6G 8A, 5 HD goals, 8.8% shooting.

    Both teams' defensive weak links—Matt Kiersted (Minnesota) and Chandler Stephenson (Seattle)—represent pressure points where possession can flip. Both clubs register 0% high-danger and 0% rebound goals at 5v5, an absence of secondary scoring that could matter if a trailing team needs a comeback.

    The numbers side with Minnesota. Whether its 53% translates to a regulation result depends on which goaltender steadies first.

    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
    5-2-3
    +4 GD · 2d rest
    SEA
    8-1-1
    +16 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.
    Last game's lineup · confirmed at warm-up

    Lineups

    NHL box score
    MIN
    Expected in goal
    F. Gustavsson
    2 days rest.906 last start
    Backup Filip Gustavsson · +1.4 GSAx this season

    No completed game on file for this club yet.

    SEA
    Expected in goal
    J. Daccord
    back-to-back.889 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