Backcheck
Recap · DAL at MIN

Wild run the Stars off the ice on the underlying numbers

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

By the ModelJul 11, 8:01 PMxG: xgboost-0.758Edited for clarity
Away
DAL
Dallas Stars
2
Home
MIN
Minnesota Wild
5
FINAL
Process vs result

The underlying story

1.59Expected goals5.48
78% share for the better side
18Shot attempts (SOG)32
1High-danger chances10
55Corsi (all attempts)66
Score-adjusted: 46% / 54%
Source · NHL play-by-play · XGBoost xG

Minnesota's 5-2 victory was upheld by underlying metrics—only J. Oettinger's overperformance kept the margin respectable. With 27 saves and a 0.900 SV% (+2.48 vs expected), the Dallas goalie nearly disguised what should have been a rout. The Wild controlled 78% of expected goals (5.48–1.59), a ratio that predicts a much uglier scoreline under average goaltending.

Dominance cut across every measure. Minnesota took 64% of shot attempts (32–18) and created 10 high-danger chances to Dallas's 1. The quality gap exceeded volume: the Wild averaged 0.083 xG per shot versus Dallas's 0.029, meaning the Stars generated chances league-average goaltending stops routinely. Oettinger faced relentless pressure. F. Gustavsson's 16 saves in 18 chances operated against lower-danger traffic.

Dallas's two goals came from low-danger areas—the kind routinely saved. Minnesota showed precision in higher-leverage spots: 2 goals on 26 rush chances, 5 rebound opportunities with 1 converted. One team overwhelmed the other in every way that mattered.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
DAL0 / 1 · 0.21 xG
MIN2 / 10 · 3.25 xG
Medium dangermid-range
DAL0 / 10 · 0.98 xG
MIN2 / 13 · 1.57 xG
Low dangerperimeter & point
DAL2 / 44 · 0.41 xG
MIN1 / 43 · 0.65 xG

DAL went 2-for-44 from low danger on 0.41 expected goals — 1.6 above expected.

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

Finishing vs expected

expectedactual
DAL
2 G · 1.59 xG · +0.4
MIN
5 G · 5.48 xG · -0.5
0123456
Goalies · GSAx (goals saved above expected)
J. OettingerDAL
+2.5
F. GustavssonMIN
-0.4

DAL finished +0.4 against expected, MIN -0.5 — J. Oettinger (DAL) saved 2.5 goals above expected.

Source · Backcheck xG model
What they shot — and what went in

Shot diet

goalsshots
DAL
WRIST1/17
SNAP0/1
SLAP1/3
BACKHAND0/5
TIP IN0/2
WRAP AROUND0/1
POKE0/0
OTHER0/26
MIN
WRIST1/16
SNAP2/18
SLAP1/9
BACKHAND1/5
TIP IN0/2
WRAP AROUND0/0
POKE0/1
OTHER0/15
DAL
MIN
Off the rush
1 G on 19 · 1.16 xG
2 G on 26 · 3.24 xG
Off rebounds
0 G on 1 · 0.08 xG
1 G on 5 · 1.32 xG

Wrist shots carried the volume: DAL went 1-for-17, MIN 1-for-16. MIN scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Boldy
#12 · L · MIN
1 G · 2 A · 5 SOG · 22:24 TOI · +2
M. Heiskanen
#4 · D · DAL
1 G · 1 A · 2 SOG · 26:11 TOI · -1
J. Eriksson Ek
#14 · C · MIN
1 G · 1 A · 5 SOG · 21:34 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • DAL generated higher-quality looks than the shot total suggests.
  • J. Oettinger (DAL) stopped 2.5 goals above expected.
  • MIN generated far more dangerous chances — 0.083 xG/shot vs 0.029. Quality over quantity.
  • DAL scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • MIN was lethal off the rush — 2 goals on 26 rush chances.
  • MIN created 5 rebound opportunities (1 converted) — crashing the net effectively.
  • J. Oettinger (DAL) saved 2.5 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · DAL at MIN · 8:00 PM ET

Stars at Wild: a genuine coin flip

By the ModelJul 11, 7:59 PMEdited 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 DAL 2.4–2.5 MIN scoreline with Minnesota at 53% win probability—as close to a coin flip as you'll find in hockey.

The underlying metrics explain the toss-up. Dallas rates at 51.0% xG and 47.0% Corsi, while Minnesota sits at 52.0% xG and 48.0% Corsi. The gap is real but narrow. One driver of uncertainty: Dallas's PDO of 1.024 is running hot. Minnesota's 1.007 suggests the Wild are closer to their true talent level, meaning regression toward the mean cuts against the Stars.

On offense, Dallas leans on Jason Robertson's elite shot volume (0.96 xG/60) paired with elite efficiency—25G 21A on a 12.4% shooting rate, including 2 high-danger goals. Michael Bunting provides secondary punch at 0.83 xG/60 with 8G 14A, though his 7.6% shooting clip leaves room for variance. Minnesota counters with Matt Boldy at 0.89 xG/60, 22G 18A, and 13.7% shooting, plus 5 high-danger goals that signal both volume and timing. Robby Fabbri (0.88 xG/60, 2G 3A, 1 high-danger goal, 6.9% shooting) carries lower production but plays the same dangerous positions.

Defensively, Dallas presents a weak link in Tyler Myers, while Minnesota's Matt Kiersted occupies similar real estate. Neither team has generated high-danger goals or rebound goals at measurable rates—both sit at 0% for the season—which means most offense flows through primary chances. That favors Dallas's volume edge, but Minnesota's superior efficiency edges the scale back.

The 53% Wild win probability reflects this: Minnesota's fundamental advantage in xG and shot efficiency just barely outweighs Dallas's regression headwind and Robertson's ability to create above his xG rate. In a vacuum, Minnesota wins a best-of-seven series. In a single game, the Stars' hot PDO and Robertson's star power present real upside. But that upside is precisely why the model prices Minnesota as a mild favorite—it's already baked the regression in.

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