Backcheck
Recap · DAL at MIN

F. Gustavsson stands tall as the Wild edge the Stars

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

By the ModelJul 12, 8:07 AMxG: xgboost-0.758Edited for clarity
Away
DAL
Dallas Stars
1
Home
MIN
Minnesota Wild
2
FINAL / OT
Process vs result

The underlying story

3.53Expected goals3.98
53% share for the better side
30Shot attempts (SOG)28
4High-danger chances9
69Corsi (all attempts)55
Score-adjusted: 55% / 45%
Source · NHL play-by-play · XGBoost xG

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.

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
Goalies · GSAx (goals saved above expected)
J. OettingerDAL
+2.0
F. GustavssonMIN
+2.5

DAL finished -2.5 against expected, MIN -2.0 — F. Gustavsson (MIN) saved 2.5 goals above expected.

Source · Backcheck xG model
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
Three stars · computed, not voted
Q. Hughes
#43 · D · MIN
0 G · 2 A · 1 SOG · 27:20 TOI · +2
B. Brink
#10 · R · MIN
1 G · 1 A · 1 SOG · 12:52 TOI · +2
J. Robertson
#21 · L · DAL
1 G · 0 A · 4 SOG · 25:51 TOI · -1
Ranked from the box score — points first · Backcheck
What the model flagged
  • J. Oettinger (DAL) stopped 2.0 goals above expected.
  • MIN generated far more dangerous chances — 0.072 xG/shot vs 0.051. Quality over quantity.
  • MIN was lethal off the rush — 2 goals on 23 rush chances.
  • MIN created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • DAL created 6 rebound opportunities (0 converted) — crashing the net effectively.
  • MIN underperformed xG by 2.0 — wasted quality chances.
  • DAL underperformed xG by 2.5 — wasted quality chances.
  • J. Oettinger (DAL) saved 2.0 goals above expected — stole the show.
  • F. Gustavsson (MIN) saved 2.5 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · DAL at MIN · 4:00 PM ET

Stars at Wild: a genuine coin flip

By the ModelJul 12, 8:05 AMEdited for clarity
Win probability

The model's lean

53%
MIN
Model favorite
47%
53%
DAL50MIN

MIN by 6 points of win probability — a modest lean. Projected score DAL 2.42.5 MIN; 19% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season profile · edge from the spine

Tale of the tape

DAL← edge
edge →MIN
51.0%5v5 xG%52.0%
47.0%Corsi%48.0%
2.36xGF / 602.55
2.29xGA / 602.40
2.07Goals for / gm2.04
1.68Goals against / gm1.93
1.024PDO — luck, not skill1.007

The season numbers split 33 — no clear process edge — and PDO (1.024 vs 1.007) says DAL has run hotter.

Source · MoneyPuck season tables · 5v5

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.

Computed danger · scouting

Players to watch

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
Source · MoneyPuck skaters