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

F. Gustavsson stands tall as the Wild edge the Stars

The verdict · earned

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

DAL 1 · MIN 2
◆ By the ModelJul 12, 8:07 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's 2-1 overtime win tells only half the story. The high-danger chances—9 to 4—suggested the Wild should have pulled away, yet they edged out Dallas in a game where two goaltenders massively outperformed expectations.

F. Gustavsson (MIN) stopped 29 of 30 for a 0.967 save percentage, outperforming expectations by 2.53 goals. J. Oettinger (DAL) nearly matched that overperformance: 26 saves on 28 shots (0.929 SV%), exceeding expectations by 1.98. Gustavsson's theft was the heavier one.

Minnesota's underlying advantage was clear. Expected goals split 3.98–3.53 (53–47 to the Wild). The Wild held 48% of shot attempts and generated significantly higher-quality chances—0.072 expected goals per shot versus Dallas's 0.051. Off the rush, Minnesota was most lethal: two goals on 23 chances.

Yet both teams massively underperformed offensively. Minnesota underperformed xG by 1.98 goals; Dallas by 2.53. The overtime winner came from Vladimir Tarasenko's snap shot at 3:06 from the high slot—essentially the only moment either offense broke through when it mattered.

The scoreline flatters Dallas. Minnesota created what should have been a blowout, wasted most of it, and survived because their goaltender was better when it counted. That margin between expected dominance and actual result is the entire game.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · OT · Mar 21
DAL
1
MIN
2

F. Gustavsson stands tall as the Wild edge the Stars

Chances 3.5 – 4.0Did they deserve it? →
Did they deserve it?

The Wild earned this one.

Expected goals · chance value
DAL
3.53
MIN
3.98
47% of the chances53%

The board read DAL 1, MIN 2. The chances read DAL 3.5, MIN 4.0.

Our xG model · NHL play-by-play · all situations
Luck check
MIN
−2.0
goals above expected
MIN3.98 expected · 2 scored
Expected
Scored
DAL3.53 expected · 1 scored
Expected
Scored

The Stars 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. P1 14:21DALJ. RobertsonPP1–0
  2. P2 10:45MINB. Brink1–1
  3. OT 03:06MINV. Tarasenko1–2
NHL play-by-play · chance value from our xG model
Where the shots came from
DAL
46 shots
1
Final
86 shots
MIN
40 shots
2
DAL attackMIN attack
DAL MIN Goal
46
shots · 1 in
40
shots · 2 in
Every unblocked shot · press play to replay it
Chances by danger
DALMIN
0 / 4
0.89 xG
High danger
2 / 9
2.44 xG
0 / 17
2.09 xG
Medium
0 / 8
0.84 xG
1 / 48
0.55 xG
Low
0 / 38
0.70 xG

The Stars went 0 for 4 from the slot.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A+
F. Gustavsson
+2.5
MIN · 29/30
A
J. Oettinger
+2.0
DAL · 26/28
The numbers, checked
BACKCHECK

F. Gustavsson stands tall as the Wild edge the Stars

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 10–9
  1. 14:21DALJ. Robertsonpower play(M. Heiskanen, M. Duchene)1–0
2ndshots 9–8
  1. 10:45MINB. Brink(Q. Hughes, J. Spurgeon)1–1
3rdshots 11–10no goals
    OTshots 0–1
    1. 03:06MINV. Tarasenko(B. Brink, Q. Hughes)1–2

    score reads DAL–MIN

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

    The numbers

    XGBoost xG · NHL play-by-play
    3.98
    MIN chances
    Goals their shots were worth
    −2.0
    Finishing
    Goals below what those chances were worth
    1.022
    MIN puck luck
    Above 1.000 — the bounces went their way
    44.4%
    Shot attempts
    Under half — they were outshot
    Split by club

    Who controlled the game

    3.53Expected goals3.98
    MIN 53% of the chance quality
    30Shots on goal28
    4High-danger chances9
    69All attempts (Corsi)55
    Adjusted for score: DAL 55% · MIN 45%
    Faceoffs · MIN won29%off44%neu48%def
    Source · NHL play-by-play · XGBoost xG
    How the game was won

    The danger ladder

    shotsgoalsexpected
    High dangerslot & crease
    DAL0 / 4 · 0.89 xG
    MIN2 / 9 · 2.44 xG
    Medium dangermid-range
    DAL0 / 17 · 2.09 xG
    MIN0 / 8 · 0.84 xG
    Low dangerperimeter & point
    DAL1 / 48 · 0.55 xG
    MIN0 / 38 · 0.70 xG

    DAL went 0-for-17 from medium danger on 2.09 expected goals — 2.1 left on the table.

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

    Finishing vs expected

    expectedactual
    DAL
    1 G · 3.53 xG · -2.5
    MIN
    2 G · 3.98 xG · -2.0
    012345

    DAL finished -2.5 against expected, MIN -2.0.

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

    Shot diet

    goalsshots
    DAL
    WRIST1/28
    SNAP0/6
    TIP IN0/4
    SLAP0/3
    BACKHAND0/4
    BAT0/1
    WRAP AROUND0/0
    OTHER0/23
    MIN
    WRIST0/23
    SNAP1/4
    TIP IN0/5
    SLAP0/4
    BACKHAND1/3
    BAT0/0
    WRAP AROUND0/1
    OTHER0/15
    DAL
    MIN
    Off the rush
    1 G on 29
    2.40 xG
    2 G on 23
    2.13 xG
    Off rebounds
    0 G on 6
    0.89 xG
    0 G on 4
    1.03 xG

    Wrist shots carried the volume: DAL went 1-for-28, MIN 0-for-23. 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
    J. Oettinger
    DAL · 26/28 · .929
    +2.0
    saved above expected
    A
    the night
    By dangerG/attxGsaved
    High danger2/92.4+0.4
    Medium0/80.8+0.8
    Low0/380.7+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

    F. Gustavsson
    MIN · 29/30 · .967
    +2.5
    saved above expected
    A+
    the night
    By dangerG/attxGsaved
    High danger0/40.9+0.9
    Medium0/172.1+2.1
    Low1/480.6-0.5

    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
    DAL
    46 shots
    1
    Final
    86 shots
    MIN
    40 shots
    2
    DAL attackMIN attack
    DAL MIN Goal

    Each club shoots toward its own end — DAL left, MIN 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
    Q. Hughes
    #43 · D · MIN
    0 G · 2 A · 1 SOG · 27:20 on ice · +2
    B. Brink
    #10 · R · MIN
    1 G · 1 A · 1 SOG · 12:52 on ice · +2
    J. Robertson
    #21 · L · DAL
    1 G · 0 A · 4 SOG · 25:51 on ice · -1
    Ranked from the box score — points first · Backcheck
    What the model said beforehand

    Before the game

    Written Sat, Mar 21
    Open the pre-game read
    Written from the numbers

    The read

    Edited for clarity
    ◆ By the ModelJul 12, 8:05 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

    The model projects a 2.4–2.5 game with Minnesota favored at 53% win probability. This is as close to a pick'em as you'll find.

    Both teams operate from nearly identical shot-quality baselines. Dallas generates 51.0% expected goals share at even strength; Minnesota, 52.0%. Corsi% is equally compressed (Dallas 47.0%, Minnesota 48.0%). Neither outfit dominates possession. Over a single game, that parity often holds.

    The structural edge belongs to Minnesota, narrowly. Dallas runs a 1.024 PDO—hot by historical standards, and regression will come. Minnesota sits 1.007, closer to equilibrium. When a lucky team faces a neutral one, the neutral team often catches the rebound luck.

    But Dallas's advantage lives in Jason Robertson. He generates 0.96 expected goals per 60 minutes while scoring at 12.4%—that pairing of quality and conversion marks both elite talent and hot play. He's accumulated 25 goals. Michael Bunting (0.83 xG/60, 8 goals at 7.6%) occupies the secondary scorer role and runs similarly warm. If Robertson sustains anywhere near this pace, Dallas can offset Minnesota's modest luck edge.

    Matt Boldy is Minnesota's equivalent threat. He carries 0.89 xG/60, 22 goals, 5 high-danger chances, and a 13.7% shooting rate. Boldy's volume suggests more sustainable conversion than Robertson—his luck is real but less extreme. Robby Fabbri (0.88 xG/60, 2 goals, 6.9% shooting) mirrors Bunting's secondary role without the heat.

    Both defense corps telegraph identical weaknesses. Dallas surrenders 0% of goals from high-danger chances and 0% from rebound looks—structural rates that rarely persist. Tyler Myers is identified as the weak link. Minnesota shows the same zero-percent profile, with Matt Kiersted as the pressure point.

    Nothing tilts the board here. The numbers reflect a genuine coin flip. Take Minnesota's sliver of luck if you need a direction; otherwise spin.

    What the model said beforehand

    The model's lean

    MIN 53%
    53%
    MIN
    Model favorite
    47%
    53%
    DAL50MIN

    MIN by 6 points of win probability — a modest lean. Projected score DAL 2.4–2.5 MIN; 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
    DAL← edge
    edge →MIN
    51.0%52.0%
    47.0%48.0%
    2.362.55
    2.292.40
    2.072.04
    1.681.93
    1.0241.007

    The season numbers split 3–3 — no clear process edge — and the luck row (1.024 vs 1.007) says DAL has been getting the bounces, which tends not to last.

    Source · NHL stats API + our xG · 5v5
    Form · No games yet
    DAL
    0-0-0
    +0 GD · 0d rest
    MIN
    0-0-0
    +0 GD · 0d rest
    1.024
    DAL PDO
    Luck gauge · drifts to 1.000
    1.007
    MIN PDO
    Luck gauge · drifts to 1.000
    What decides it

    Keys to the game

    Regression watch
    • The Stars' PDO is 1.024 — running hot, expect some regression.
    Things to watch
    • The Stars' PDO is 1.024 — running hot, expect some regression.
    Computed danger · scouting

    Players to watch

    NHL stats API · our xG
    DAL
    Jason Robertson25G 21A
    0.96 xG/60 · 2 HD · 12.4% sh
    Michael Bunting8G 14A
    0.83 xG/60 · 0 HD · 7.6% sh
    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
    Keep going

    Where to next