Backcheck
Recap · MIN at VGK

Wild pull away from the Golden Knights

The Wild stole one. They lost the expected-goals battle 2.79–3.20 and won anyway.

By the ModelJul 11, 10:22 PMxG: xgboost-0.758Edited for clarity
Away
MIN
Minnesota Wild
5
Home
VGK
Vegas Golden Knights
2
FINAL
Process vs result

The underlying story

2.79Expected goals3.20
53% share for the better side
27Shot attempts (SOG)16
3High-danger chances6
58Corsi (all attempts)51
Score-adjusted: 46% / 54%
Source · NHL play-by-play · XGBoost xG

Minnesota's 5-2 win over Vegas contradicts the underlying metrics—the Golden Knights generated 3.20 expected goals to the Wild's 2.79. The scoreline reflects finishing variance: Minnesota overperformed their xG by 2.21; Vegas underperformed theirs by 1.20.

Vegas held the quality advantage. They generated 6 high-danger chances to Minnesota's 3, with a xG-per-shot edge of 0.063 to 0.048. But Minnesota's finish was elite. Two low-danger goals and three rush goals on 26 chances—precision paired with fortune.

The goaltending split widened the margin. A. Schmid (VGK) recorded 15/15 saves and beat expected by 1.55, while C. Hart (VGK) allowed 3.76 more than expected on 12 shots. F. Gustavsson (MIN) stopped 14/16 and exceeded expected by 1.20.

Mark Stone's wrist shot from the doorstep (P3, 02:14) stood as the turning point.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MIN0 / 3 · 0.65 xG
VGK1 / 6 · 1.83 xG
Medium dangermid-range
MIN3 / 16 · 1.56 xG
VGK0 / 7 · 0.76 xG
Low dangerperimeter & point
MIN2 / 39 · 0.58 xG
VGK1 / 38 · 0.61 xG

MIN went 3-for-16 from medium danger on 1.56 expected goals — 1.4 above expected.

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

Finishing vs expected

expectedactual
MIN
5 G · 2.79 xG · +2.2
VGK
2 G · 3.20 xG · -1.2
0123456
Goalies · GSAx (goals saved above expected)
F. GustavssonMIN
+1.2
A. SchmidVGK
+1.6
C. HartVGK
-3.8

MIN finished +2.2 against expected, VGK -1.2 — C. Hart (VGK) allowed 3.8 more goals than expected.

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

Shot diet

goalsshots
MIN
WRIST2/26
SNAP2/7
BACKHAND0/5
TIP IN1/2
SLAP0/2
DEFLECTED0/1
POKE0/1
OTHER0/14
VGK
WRIST2/18
SNAP0/5
BACKHAND0/2
TIP IN0/3
SLAP0/1
DEFLECTED0/1
POKE0/0
OTHER0/21
MIN
VGK
Off the rush
3 G on 26 · 1.57 xG
1 G on 23 · 1.99 xG
Off rebounds
0 G on 3 · 0.60 xG
1 G on 2 · 0.88 xG

Wrist shots carried the volume: MIN went 2-for-26, VGK 2-for-18. MIN scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Johansson
#90 · L · MIN
1 G · 3 A · 3 SOG · 13:46 TOI · +4
J. Spurgeon
#46 · D · MIN
1 G · 1 A · 1 SOG · 19:35 TOI · +2
I. Barbashev
#49 · L · VGK
0 G · 2 A · 1 SOG · 18:02 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • MIN generated higher-quality looks than the shot total suggests.
  • F. Gustavsson (MIN) stopped 1.2 goals above expected.
  • C. Hart (VGK) gave up 3.8 goals more than expected — well below their workload.
  • VGK generated far more dangerous chances — 0.063 xG/shot vs 0.048. Quality over quantity.
  • MIN scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • MIN was lethal off the rush — 3 goals on 26 rush chances.
  • MIN created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • MIN outperformed their expected goals by 2.2 — elite finishing or lucky bounces.
  • A. Schmid (VGK) saved 2.8 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · MIN at VGK · 10:00 PM ET

Wild at Golden Knights: a genuine coin flip

By the ModelJul 11, 10:20 PMEdited for clarity
Win probability

The model's lean

54%
VGK
Model favorite
46%
54%
MIN50VGK

VGK by 8 points of win probability — a modest lean. Projected score MIN 2.32.6 VGK; 18% 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 →VGK
52.0%5v5 xG%54.0%
48.0%Corsi%52.0%
2.55xGF / 602.52
2.40xGA / 602.11
2.04Goals for / gm2.12
1.93Goals against / gm2.10
1.007PDO — luck, not skill0.983

VGK holds 4 of 6 process categories — and PDO (1.007 vs 0.983) says MIN has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects Minnesota to score 2.3–2.6 goals with Vegas at 54% win probability—about as close to a pick'em as you'll find.

Minnesota's season xG% sits at 52.0% but its Corsi% lags at 48.0%, suggesting the team generates chances without controlling volume. Vegas flips that: 54.0% xG%, 52.0% Corsi%—the Knights dominate territorial possession and shot-generation. But Vegas runs a 0.983 PDO, indicating it's been unlucky; mean reversion typically favors the team buried beneath its underlying metrics.

Both teams play on back-to-backs, raising the backup-goaltender question. C. Hart for Vegas and J. Wallstedt for Minnesota both carry the wear of consecutive games.

Without Robby Fabbri—marked inactive—Minnesota leans on Matt Boldy, whose 0.89 xG/60 and 22 goals in an even-strength league that rewards efficiency make him the team's primary offensive engine. His 5 high-danger goals on 13.7% shooting show a player converting at an unsustainable clip, a vulnerability Vegas can exploit on the penalty kill.

Vegas counters with Brandon Saad sidelined (marked inactive) and Tomas Hertl as the focal point. Hertl's 0.88 xG/60 and 5 goals with 17 assists project as less explosive than Boldy's pure output, but his assist total speaks to playmaking that pressurizes penalty-killers differently—he generates chances for others.

The tactical story deepens in Minnesota's numbers: 0% high-danger and 0% rebound-goal rates suggest the Wild struggle with the chaos of playoff-style hockey, where second chances matter more than first shot quality. Vegas faces the same structural void. Matt Kiersted has emerged as Minnesota's defensive weak link; Rasmus Andersson serves the same role for Vegas.

This game hinges on whether Minnesota's mid-range efficiency or Vegas's dominance at the shot-generation level carries the day. The model calls it a genuine toss-up, and the underlying data doesn't argue.

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
VGK
Brandon Saad3G 6A
0.91 xG/60 · 1 HD · 4.1% sh
Tomas Hertl5G 17A
0.88 xG/60 · 1 HD · 4.3% sh
Source · MoneyPuck skaters