Backcheck
Recap · MIN at DAL

Stars steal one from the Wild against the run of play

The Stars stole one. They lost the expected-goals battle 3.42–2.12 and won anyway.

By the ModelJul 12, 11:05 AMxG: xgboost-0.758Edited for clarity
Away
MIN
Minnesota Wild
4
Home
DAL
Dallas Stars
5
FINAL
Process vs result

The underlying story

3.42Expected goals2.12
62% share for the better side
31Shot attempts (SOG)20
4High-danger chances2
60Corsi (all attempts)41
Score-adjusted: 59% / 42%
Source · NHL play-by-play · XGBoost xG

Dallas won 5–4 despite losing expected goals 2.12–3.42. Minnesota controlled 62% of expected goal share at 5v5 — the Wild were the better team and lost anyway.

The metrics confirm it. Minnesota held a 31–20 edge in shot attempts while Dallas generated 2 high-danger chances to Minnesota's 4. That's inverted: the team that got outshot had more dangerous looks. Goaltending was the delta. F. Gustavsson surrendered 2.88 goals above expectation on 15 saves. J. Oettinger gave up only 0.58 above expected on 27 stops — the two performances were not even close.

Dallas exploited what mattered most: the rush. They scored 2 goals on 18 rush chances; Minnesota scored 2 on 30. Dallas finished with precision; Minnesota did not.

Jason Robertson's wrist shot from a sharp angle (10:35, P3) was the game's hinge. It tilted Dallas into a lead they would not surrender.

The special-teams story belonged to Minnesota. They converted 3 power-play goals on 10 shots (0.83 xG), a dominant display that should have been enough. It wasn't. They paid for mediocre 5v5 finishing while Dallas thrived on their chances.

M. Zuccarello led with 3 assists in 18:12. Q. Hughes added 1 goal and 1 assist in 31:51. E. Lindell posted 2 assists in 25:03.

Three Stars

  • #36 M. Zuccarello (MIN) — 3A in 18:12
  • #43 Q. Hughes (MIN) — 1G, 1A in 31:51
  • #23 E. Lindell (DAL) — 2A in 25:03
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MIN1 / 4 · 1.01 xG
DAL2 / 2 · 0.49 xG
Medium dangermid-range
MIN2 / 15 · 1.68 xG
DAL3 / 11 · 1.07 xG
Low dangerperimeter & point
MIN1 / 41 · 0.72 xG
DAL0 / 28 · 0.56 xG

DAL went 3-for-11 from medium danger on 1.07 expected goals — 1.9 above expected.

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

Finishing vs expected

expectedactual
MIN
4 G · 3.42 xG · +0.6
DAL
5 G · 2.12 xG · +2.9
0123456
Goalies · GSAx (goals saved above expected)
F. GustavssonMIN
-2.9
J. OettingerDAL
-0.6

MIN finished +0.6 against expected, DAL +2.9 — F. Gustavsson (MIN) allowed 2.9 more goals than expected.

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

Shot diet

goalsshots
MIN
SNAP2/24
WRIST0/7
TIP IN2/4
BACKHAND0/2
SLAP0/6
WRAP AROUND0/1
DEFLECTED0/0
OTHER0/16
DAL
SNAP3/11
WRIST1/7
TIP IN0/4
BACKHAND0/6
SLAP0/1
WRAP AROUND0/0
DEFLECTED1/1
OTHER0/11
MIN
DAL
Off the rush
2 G on 30 · 2.42 xG
2 G on 18 · 0.95 xG
Off rebounds
1 G on 1 · 0.19 xG
1 G on 3 · 0.35 xG

Snap shots carried the volume: MIN went 2-for-24, DAL 3-for-11. MIN scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Zuccarello
#36 · R · MIN
0 G · 3 A · 1 SOG · 18:12 TOI
Q. Hughes
#43 · D · MIN
1 G · 1 A · 2 SOG · 31:51 TOI · -2
E. Lindell
#23 · D · DAL
0 G · 2 A · 3 SOG · 25:03 TOI · +4
Ranked from the box score — points first · Backcheck
What the model flagged
  • DAL won despite being outplayed by xG (38%). Goaltending or finishing carried them.
  • F. Gustavsson (MIN) gave up 2.9 goals more than expected — well below their workload.
  • DAL was lethal off the rush — 2 goals on 18 rush chances.
  • MIN was lethal off the rush — 2 goals on 30 rush chances.
  • DAL created 3 rebound opportunities (1 converted) — crashing the net effectively.
  • DAL outperformed their expected goals by 2.9 — elite finishing or lucky bounces.
  • MIN power play was dominant — 3 PPG on 10 PP shots (0.83 xG).
Before the game — the model's pre-game read
Preview · MIN at DAL · 9:00 PM ET

Wild at Stars: a genuine coin flip

By the ModelJul 12, 11:03 AMEdited for clarity
Win probability

The model's lean

51%
DAL
Model favorite
49%
51%
MIN50DAL

DAL by 2 points of win probability — effectively a coin flip. Projected score MIN 2.42.5 DAL; 19% chance it's tied after 60.

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

Tale of the tape

MIN← edge
edge →DAL
52.0%5v5 xG%51.0%
48.0%Corsi%47.0%
2.55xGF / 602.36
2.40xGA / 602.29
2.04Goals for / gm2.07
1.93Goals against / gm1.68
1.007PDO — luck, not skill1.024

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

Source · MoneyPuck season tables · 5v5

The model projects a MIN 2.4–2.5 game with Dallas at 51% win probability. This is about as close to a pick'em as you'll find.

Minnesota owns the momentum: the Wild are 7-3-0 in their last 10, the hotter team by points pace. But season-long 5v5 metrics are effectively neutral. Minnesota sits at 52.0% expected goals share and 48.0% Corsi%, while Dallas counters with 51.0% xG% and 47.0% Corsi%. The margins are marginal—neither team has separated itself on volume.

Dallas's edge exists in statistical luck. The Stars' 1.024 PDO indicates they're converting chances at a rate their underlying play doesn't sustain. Minnesota's 1.007 PDO aligns closer to reality. Over a full season, regression favors the Wild. Over one game, it's noise.

The decisive variable is firepower. Jason Robertson (25G 21A, 0.96 xG/60) generates premium chances at an elite rate. Michael Bunting (8G 14A, 0.83 xG/60) provides secondary scoring. Minnesota counters with Matt Boldy (22G 18A, 0.89 xG/60), who matches Robertson's intensity but has ridden higher shooting luck at 13.7% versus Robertson's 12.4%. Robby Fabbri, Minnesota's third-line creator at 0.88 xG/60, is likely unavailable.

Both J. Oettinger and J. Wallstedt are on back-to-backs, introducing a variable that could shift momentum depending on coach decisions and fatigue.

Dallas holds an edge—Robertson's elite generation, statistical overperformance. Minnesota holds momentum and regression expectations. But 51% barely tilts toward Dallas. The advantages cancel.

Computed danger · scouting

Players to watch

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
Source · MoneyPuck skaters