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

Stars pull away from the Wild

The verdict · earned

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

MIN 2 · DAL 5
◆ By the ModelJun 16, 2:45 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

Minnesota outshooting Dallas 41–25 yet losing 5–2 tells the story: shot volume without accuracy is noise. Dallas generated 4.86 expected goals to Minnesota's 3.27, a 60–40 split that transformed 38% of attempts into a convincing win. Minnesota's shots averaged 0.048 expected goals each versus Dallas's 0.093, revealing the quality chasm beneath the volume.

Dallas extended the gap in high-danger areas, creating nine chances to Minnesota's four. The Stars converted four of nine, the kind of clinical efficiency that separates outcomes from noise.

Roope Hintz snapped the game open in the third period, a doorstep finish that embodied Dallas's precision. The dominance continued in rush play: Dallas scored five goals on 27 chances while Minnesota managed two on 23, a gap reflecting offensive rhythm and defensive vulnerability.

Both teams scored twice on the power play, but at vastly different costs. Dallas converted 2 of 8 PP shots (0.87 xG); Minnesota required 15 (0.99 xG) to match that total, a resource burden suggesting system dysfunction rather than execution.

J. Oettinger (39–41, +1.27 expected) and F. Gustavsson (20–23, +1.86 expected) both outperformed projections. Dallas's dominance in shot quality determined the outcome. Minnesota underperformed its xG by 1.27 goals, a shortfall that reinforced rather than contradicted the scoreline.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Oct 14
MIN
2
DAL
5

Stars pull away from the Wild

Chances 3.3 – 4.9Did they deserve it? →
Did they deserve it?

The Stars earned this one.

Expected goals · chance value
MIN
3.27
DAL
4.86
40% of the chances60%

The board read MIN 2, DAL 5. The chances read MIN 3.3, DAL 4.9.

Our xG model · NHL play-by-play · all situations
Luck check
DAL
+0.1
goals above expected
DAL4.86 expected · 5 scored
Expected
Scored
MIN3.27 expected · 2 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 05:37DALE. Lindell0–1
  2. P1 16:18DALW. JohnstonPP0–2
  3. P2 01:31DALM. DuchenePP0–3
  4. P3 03:50MINM. BoldyPP1–3
  5. P3 13:04MINK. KaprizovPP2–3
  6. P3 18:18DALR. FaksaEN2–4
  7. P3 19:50DALR. HintzEN2–5
NHL play-by-play · chance value from our xG model
Where the shots came from
MIN
51 shots
2
Final
86 shots
DAL
35 shots
5
MIN attackDAL attack
MIN DAL Goal
51
shots · 2 in
35
shots · 5 in
Every unblocked shot · press play to replay it
Chances by danger
MINDAL
0 / 4
1.07 xG
High danger
4 / 9
3.75 xG
2 / 15
1.54 xG
Medium
0 / 8
0.69 xG
0 / 49
0.66 xG
Low
1 / 35
0.42 xG

The Wild went 0 for 4 from the slot.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A
F. Gustavsson
+1.9
MIN · 20/23
B+
J. Oettinger
+1.3
DAL · 39/41
The numbers, checked
BACKCHECK

Stars pull away from 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 14–11
  1. 05:37DALE. Lindell(R. Hintz, M. Heiskanen)0–1
  2. 16:18DALW. Johnstonpower play(R. Hintz, M. Rantanen)0–2
2ndshots 10–10
  1. 01:31DALM. Duchenepower play(M. Bourque, T. Harley)0–3
3rdshots 17–4
  1. 03:50MINM. Boldypower play(Z. Buium, K. Kaprizov)1–3
  2. 13:04MINK. Kaprizovpower play(Z. Buium, V. Tarasenko)2–3
  3. 18:18DALR. Faksaempty net(J. Robertson, T. Seguin)2–4
  4. 19:50DALR. Hintzempty net(W. Johnston, E. Lindell)2–5

score reads MIN–DAL

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

The numbers

XGBoost xG · NHL play-by-play
4.86
DAL chances
Goals their shots were worth
+0.1
Finishing
Goals above what those chances were worth
1.067
DAL puck luck
Above 1.000 — the bounces went their way
43.3%
Shot attempts
Under half — they were outshot
Split by club

Who controlled the game

3.27Expected goals4.86
DAL 60% of the chance quality
41Shots on goal25
4High-danger chances9
68All attempts (Corsi)52
Adjusted for score: MIN 62% · DAL 38%
Faceoffs · DAL won46%off50%neu67%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MIN0 / 4 · 1.07 xG
DAL4 / 9 · 3.75 xG
Medium dangermid-range
MIN2 / 15 · 1.54 xG
DAL0 / 8 · 0.69 xG
Low dangerperimeter & point
MIN0 / 49 · 0.66 xG
DAL1 / 35 · 0.42 xG

MIN went 0-for-4 from high danger on 1.07 expected goals — 1.1 left on the table.

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

Finishing vs expected

expectedactual
MIN
2 G · 3.27 xG · -1.3
DAL
5 G · 4.86 xG · +0.1
0123456

MIN finished -1.3 against expected, DAL +0.1.

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

Shot diet

goalsshots
MIN
SNAP1/32
WRIST0/11
BACKHAND0/2
SLAP0/2
TIP IN1/2
DEFLECTED0/2
OTHER0/17
DAL
SNAP3/13
WRIST1/10
BACKHAND1/5
SLAP0/4
TIP IN0/3
DEFLECTED0/0
OTHER0/17
MIN
DAL
Off the rush
2 G on 23
2.13 xG
5 G on 27
3.78 xG
Off rebounds
0 G on 3
0.46 xG
0 G on 1
0.21 xG

Snap shots carried the volume: MIN went 1-for-32, DAL 3-for-13. DAL scored 5 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 · 20/23 · .870
+1.9
saved above expected
A
the night
By dangerG/attxGsaved
High danger4/93.8-0.3
Medium0/80.7+0.7
Low1/350.4-0.6

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

J. Oettinger
DAL · 39/41 · .951
+1.3
saved above expected
B+
the night
By dangerG/attxGsaved
High danger0/41.1+1.1
Medium2/151.5-0.5
Low0/490.7+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
MIN
51 shots
2
Final
86 shots
DAL
35 shots
5
MIN attackDAL attack
MIN DAL Goal

Each club shoots toward its own end — MIN left, DAL 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
R. Hintz
#24 · C · —
1 G · 2 A · 4 SOG · 19:18 on ice · +2
K. Kaprizov
#97 · L · —
1 G · 1 A · 6 SOG · 24:42 on ice · -2
E. Lindell
#23 · D · —
1 G · 1 A · 1 SOG · 24:38 on ice · +3
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Tue, Oct 14
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelSep 22, 2:34 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 calls this a pick'em: MIN projects to 3.1 - 3.2 DAL, Dallas holding 52% win probability. These teams have calibrated to near-identical standards.

Five-on-five, the edge is a whisper. Dallas leads xG% 52.1% to 52.0%; Minnesota leads Corsi% 48.5% to 47.1%. The Stars' PDO of 1.024 is running hot and due for regression; the Wild's 1.008 sits dead center. Possession runs Minnesota's way. Conversion runs Dallas's way.

The shutdown assignments are clear. Dallas must bottle Matt Boldy, who generates 0.89 xG/60 and has 5 high-danger goals behind his 22 total—a 13.7% shooting rate compounding his presence. Minnesota answers with Jason Robertson, a 0.96 xG/60 threat with 25 goals and just 2 high-danger goals, his 12.4% shooting rate built on prime volume. Robertson is more dangerous per shot; Boldy's high-danger conversion is less flukey.

Exploitable minutes live on Minnesota's blue line, where Matt Kiersted surrenders 3.56 expected goals against per 60 and has faced 7 high-danger shots this season. That's the seam Dallas should probe.

Beyond the headliners: Robby Fabbri's 0.88 xG/60 is legitimate, though his 6.9% shooting rate (2G on 3A) suggests the normal variance is still to come. Michael Bunting carries 0.83 xG/60 for Dallas with 8 goals and 7.6% shooting—steady depth scoring without the variance either. Both teams have run 0% high-danger and 0% rebound goal rate, meaning neither has generated the category ugliness that inflates real-world production yet. Dallas's defensive liability is Tyler Myers. Minnesota leans on depth; Kiersted is the exposed flank.

Minnesota owns possession inside the game's script. Dallas owns the efficiency math. In a pick'em, that's the entire story. Dallas's 52% forecast isn't a lean—it's the math finding an edge where talent is flat, and PDO saying the Stars borrowed from the house. The game rides on whether that borrowed capital holds up or regresses back to mean.

Neither team has separation. Expect a low-goal game decided by the third period, margin under two.

Season rates in this preview are from 2025-26 — this season's sample isn't live yet.

What the model said beforehand

The model's lean

DAL 52%
52%
DAL
Model favorite
48%
52%
MIN50DAL

DAL by 4 points of win probability — effectively a coin flip. Projected score MIN 3.1–3.2 DAL; 16% 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 →DAL
52.0%52.1%
48.5%47.1%
3.273.10
3.022.86
3.273.33
2.872.71
1.0081.024

DAL holds 4 of 6 process categories — and the luck row (1.008 vs 1.024) says DAL has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · No games yet
MIN
0-0-0
+0 GD · 0d rest
DAL
0-0-0
+0 GD · 0d rest
1.008
MIN PDO
Luck gauge · drifts to 1.000
1.024
DAL PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

TACTICALDAL

Shutdown Assignment: Stars

Key matchup: Neutralize Matt Boldy (22G, 0.89 xG/60, 5 HD goals)

Key matchup: Neutralize Matt Boldy (22G, 0.89 xG/60, 5 HD goals)

TACTICALMIN

Shutdown Assignment: Wild

Key matchup: Neutralize Jason Robertson (25G, 0.96 xG/60, 2 HD goals)

Key matchup: Neutralize Jason Robertson (25G, 0.96 xG/60, 2 HD goals)

WARNINGMIN

Exploitable minutes: Matt Kiersted

Matt Kiersted is on ice for 3.56 xGA/60 and 7 high-danger shots against this season.

Hunt matchups against Matt Kiersted's shifts with the top line.

WARNINGDAL

Exploitable minutes: Tyler Myers

Tyler Myers is on ice for 2.79 xGA/60 and 53 high-danger shots against this season.

Hunt matchups against Tyler Myers's shifts with the top line.

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
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
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
Keep going

Where to next