Motion-blurred skater in a Carolina Hurricanes sweater
Breakdown · MIN at CAR

Hurricanes hold off the Wild

The verdict · earned

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

MIN 3 · CAR 4
◆ By the ModelJul 11, 3:45 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

High-danger chances arrived in equal measure—7-7—yet Carolina won 4-3. The Hurricanes' edge lay elsewhere: two goals from low-danger spots that Gustavsson should have had.

The underlying dominance was real. Carolina controlled 57% of expected goals (4.66–3.44) and held 53% of shot attempts (27–24). But both teams arrived at the crease with identical offensive pressure. The difference was conversion geography.

Gustavsson stopped all 7 high-danger chances, yet allowed low-danger goals that exposed a gap. Carolina scored twice from areas outside the prime scoring zone, then pulled away on the rush with 3 goals on 33 attempts—less efficient than Minnesota's 3 on 20, but volume tilted the balance.

Neither team converted in the danger zone. Carolina went 0-for-7 and Minnesota matched them. Both generated six rebound opportunities each without a conversion. The game hinged on depth—low-danger penetration and second-chance work from the perimeter.

Nikolaj Ehlers's tip-in (P2, 00:46) exemplified Carolina's strategy: directing traffic at the net and converting close-range chances.

F. Andersen (21/24, 0.875 SV%) proved steadier overall, yielding just three goals. Gustavsson (23/27, 0.852 SV%) stopped every high-danger chance but faltered elsewhere; the Hurricanes made him pay for low-danger lapses.

The breakdown in twelve frames

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Every number is from this page
Final · Nov 6
MIN
3
CAR
4

Hurricanes hold off the Wild

Chances 3.4 – 4.7Did they deserve it? →
Did they deserve it?

The Hurricanes earned this one.

Expected goals · chance value
MIN
3.44
CAR
4.66
43% of the chances57%

The board read MIN 3, CAR 4. The chances read MIN 3.4, CAR 4.7.

Our xG model · NHL play-by-play · all situations
Luck check
CAR
−0.7
goals above expected
CAR4.66 expected · 4 scored
Expected
Scored
MIN3.44 expected · 3 scored
Expected
Scored

Both sides finished close to what their chances were worth. This one was earned on the ice.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 05:34MINM. Boldy1–0
  2. P1 12:53CARJ. Blake1–1
  3. P1 13:24MINB. Faber2–1
  4. P1 13:45CARA. Svechnikov2–2
  5. P1 16:51CARS. Walker2–3
  6. P2 00:37MINM. BoldyPP3–3
  7. P2 00:46CARN. Ehlers3–4
NHL play-by-play · chance value from our xG model
Where the shots came from
MIN
35 shots
3
Final
93 shots
CAR
58 shots
4
MIN attackCAR attack
MIN CAR Goal
35
shots · 3 in
58
shots · 4 in
Every unblocked shot · press play to replay it
Chances by danger
MINCAR
0 / 7
1.67 xG
High danger
0 / 7
1.79 xG
3 / 11
1.38 xG
Medium
2 / 18
2.07 xG
0 / 29
0.39 xG
Low
2 / 52
0.79 xG

The Wild went 0 for 7 from the slot.

Danger tiers by our xG model · high ≥ 20% chance
In the net
B
F. Gustavsson
+0.7
MIN · 23/27
B
F. Andersen
+0.4
CAR · 21/24
The numbers, checked
BACKCHECK

Hurricanes hold off the Wild

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 3–7
  1. 05:34MINM. Boldy1–0
  2. 12:53CARJ. Blake(S. Walker)1–1
  3. 13:24MINB. Faber(K. Kaprizov, M. Johansson)2–1
  4. 13:45CARA. Svechnikov(A. Nikishin, S. Aho)2–2
  5. 16:51CARS. Walker(S. Jarvis, K. Miller)2–3
2ndshots 7–14
  1. 00:37MINM. Boldypower play(V. Tarasenko, J. Spurgeon)3–3
  2. 00:46CARN. Ehlers(J. Blake)3–4
3rdshots 14–6no goals

    score reads MIN–CAR

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

    The numbers

    XGBoost xG · NHL play-by-play
    4.66
    CAR chances
    Goals their shots were worth
    −0.7
    Finishing
    Goals below what those chances were worth
    0.988
    CAR puck luck
    About 1.000 — a normal night for bounces
    62.1%
    Shot attempts
    Over half — they had the puck more
    Split by club

    Who controlled the game

    3.44Expected goals4.66
    CAR 57% of the chance quality
    24Shots on goal27
    7High-danger chances7
    47All attempts (Corsi)77
    Adjusted for score: MIN 41% · CAR 59%
    Faceoffs · CAR won71%off61%neu29%def
    Source · NHL play-by-play · XGBoost xG
    How the game was won

    The danger ladder

    shotsgoalsexpected
    High dangerslot & crease
    MIN0 / 7 · 1.67 xG
    CAR0 / 7 · 1.79 xG
    Medium dangermid-range
    MIN3 / 11 · 1.38 xG
    CAR2 / 18 · 2.07 xG
    Low dangerperimeter & point
    MIN0 / 29 · 0.39 xG
    CAR2 / 52 · 0.79 xG

    CAR went 0-for-7 from high danger on 1.79 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 · 3.44 xG · -0.4
    CAR
    4 G · 4.66 xG · -0.7
    012345

    MIN finished -0.4 against expected, CAR -0.7.

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

    Shot diet

    goalsshots
    MIN
    SNAP1/10
    WRIST1/16
    BACKHAND0/3
    SLAP0/3
    TIP IN1/3
    DEFLECTED0/0
    OTHER0/12
    CAR
    SNAP3/38
    WRIST0/5
    BACKHAND0/5
    SLAP0/5
    TIP IN1/4
    DEFLECTED0/1
    OTHER0/19
    MIN
    CAR
    Off the rush
    3 G on 20
    1.74 xG
    3 G on 33
    2.43 xG
    Off rebounds
    0 G on 6
    1.07 xG
    0 G on 6
    0.99 xG

    Snap shots carried the volume: MIN went 1-for-10, CAR 3-for-38. 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
    F. Gustavsson
    MIN · 23/27 · .852
    +0.7
    saved above expected
    B
    the night
    By dangerG/attxGsaved
    High danger0/71.8+1.8
    Medium2/182.1+0.1
    Low2/520.8-1.2

    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

    F. Andersen
    CAR · 21/24 · .875
    +0.4
    saved above expected
    B
    the night
    By dangerG/attxGsaved
    High danger0/71.7+1.7
    Medium3/111.4-1.6
    Low0/290.4+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

    93 shots · press play to watch the game back

    Where the shots came from

    NHL play-by-play coordinates
    MIN
    35 shots
    3
    Final
    93 shots
    CAR
    58 shots
    4
    MIN attackCAR attack
    MIN CAR Goal

    Each club shoots toward its own end — MIN left, CAR 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
    S. Walker
    #26 · D · CAR
    1 G · 1 A · 1 SOG · 24:49 on ice · +2
    M. Boldy
    #12 · L · MIN
    2 G · 0 A · 3 SOG · 19:37 on ice · -1
    J. Blake
    #53 · R · CAR
    1 G · 1 A · 1 SOG · 13:52 on ice · +1
    Ranked from the box score — points first · Backcheck
    What the model said beforehand

    Before the game

    Written Thu, Nov 6
    Open the pre-game read
    Written from the numbers

    The read

    Edited for clarity
    ◆ By the ModelJul 11, 3:15 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

    Carolina arrives as the favorite, with the model projecting 57% win probability and a 2.4–2.8 goal margin. The model is reading something real: the Hurricanes have dominated territorial play this season and own a structural edge at even strength.

    The Wild are struggling. Minnesota sits at -11 goal differential over its last 10 games—a sign that recent results have masked weaker underlying play. That foundation shows up in the season 5v5 numbers. Carolina shoots at 56.0% expected goals and controls play at 60.0% in possession (Corsi), while Minnesota manages 52.0% xG and 48.0% possession. The gap is meaningful: Carolina is dictating pace and generating better chances.

    The Hurricanes' vulnerability is baked into the numbers. Their PDO—the ratio of shots on goal to high-danger chances—sits at 0.984, suggesting they are running cold relative to their opportunity volume. When this ratio regresses upward, which it usually does, that efficiency gain flows directly into wins. Minnesota's PDO of 1.007 is healthier by comparison, implying less room for positive surprise.

    Both netminders face complications. P. Kochetkov operates on a back-to-back, creating real risk of a backup start or a fatigued starter. F. Gustavsson faces identical circumstances. Depth play or tired starts could redraw the edge.

    On the individual level, the Wild hang heavily on Matt Boldy's production. He carries 0.89 xG per 60 minutes with 22 goals and 18 assists—a 13.7% shooting rate that suggests elite efficiency. Robby Fabbri is likely unavailable, thinning Minnesota's options further. Jackson Blake anchors Carolina's attack at 1.06 xG/60 with 14 goals and 19 assists. Seth Jarvis provides secondary punch at 0.98 xG/60 with 17 goals and 12 assists.

    Defensively, both clubs operate with limited margins. Minnesota's backline weakness centers on Matt Kiersted; Carolina's is Charles Alexis Legault. Neither team has generated meaningful high-danger or rebound scoring, a constraint that narrows the path to offense.

    The data builds toward one conclusion: Carolina owns the game's spine—territorial control, chance generation, and efficiency upside—while Minnesota leans on individual scoring and a goaltender whose readiness is uncertain.

    What the model said beforehand

    The model's lean

    CAR 57%
    57%
    CAR
    Model favorite
    43%
    57%
    MIN50CAR

    CAR by 14 points of win probability — a modest lean. Projected score MIN 2.4–2.8 CAR; 18% 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 →CAR
    52.0%56.0%
    48.0%60.0%
    2.552.98
    2.402.31
    2.042.26
    1.931.95
    1.0070.984

    CAR holds 5 of 6 process categories — and the luck row (1.007 vs 0.984) says MIN has been getting the bounces, which tends not to last.

    Source · NHL stats API + our xG · 5v5
    Form · Last 10
    MIN
    3-4-3
    -11 GD · 1d rest
    CAR
    6-4-0
    +8 GD · 1d rest
    1.007
    MIN PDO
    Luck gauge · drifts to 1.000
    0.984
    CAR PDO
    Luck gauge · drifts to 1.000
    What decides it

    Keys to the game

    Where the edges live
    • The Hurricanes own the underlying play — 56.0% 5v5 xG vs 52.0%.
    • The Hurricanes drive Corsi at 60.0% — expect territorial tilt.
    Regression watch
    • The Hurricanes' PDO is 0.984 — running cold, due for positive regression.
    Things to watch
    • The Hurricanes own the underlying play — 56.0% 5v5 xG vs 52.0%.
    • The Hurricanes drive Corsi at 60.0% — expect territorial tilt.
    • P. Kochetkov is on a back-to-back — watch for a backup start or a tired starter.
    • F. Gustavsson is on a back-to-back — watch for a backup start or a tired starter.
    • The Wild are underwater at -11 goal differential over their last 10.
    • The Hurricanes' PDO is 0.984 — running cold, due for positive regression.
    Last game's lineup · confirmed at warm-up

    Lineups

    NHL box score
    MIN
    Expected in goal
    F. Gustavsson
    back-to-back.941 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.

    CAR
    Expected in goal
    P. Kochetkov
    back-to-back1.000 last start
    Backup Brandon Bussi · +2.8 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
    CAR
    Jackson Blake14G 19A
    1.06 xG/60 · 2 HD · 10.9% sh
    Seth Jarvis17G 12A
    0.98 xG/60 · 1 HD · 11.9% sh
    Keep going

    Where to next