Backcheck
Recap · UTA at MIN

Wild shut out the Mammoth, 5-0

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

By the ModelJul 12, 6:42 AMxG: xgboost-0.758Edited for clarity
Away
UTA
Utah Mammoth
0
Home
MIN
Minnesota Wild
5
FINAL
Process vs result

The underlying story

3.08Expected goals4.53
60% share for the better side
25Shot attempts (SOG)30
4High-danger chances8
57Corsi (all attempts)67
Score-adjusted: 51% / 49%
Source · NHL play-by-play · XGBoost xG

Utah's 3.08 expected goals and zero goals is the story — Minnesota's goaltending and execution converted a competitive matchup into a shutout.

Minnesota controlled the primary metrics: 60% of 5v5 expected goals (4.53–3.08), 55% of shots (30–25), 8–4 high-danger chances. But Utah generated 3.08 xG, meaning the gap between competitive play and a blowout came down to goaltending and finishing.

F. Gustavsson saved 3.1 goals above expected at 1.000 save percentage on 25 shots. Utah's xG wasn't weak; their execution was. K. Vejmelka faced 30 shots and stopped 25, respectable percentages that couldn't withstand Minnesota's efficiency.

The turning point was Ryan Hartman's backhander from the doorstep (P3, 18:39). Minnesota capitalized on the rush — three goals on 23 chances, a conversion rate Utah never approached. Rebounding efficiency separated them further: Minnesota converted two of five rebound opportunities while Utah's three generated nothing.

Utah underperformed their xG by 3.08 goals, a stark reminder that chance quality doesn't guarantee results. This wasn't a dominant performance; it was Minnesota's goaltending standing in the way of Utah's underlying competitiveness.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
UTA0 / 4 · 0.90 xG
MIN2 / 8 · 2.05 xG
Medium dangermid-range
UTA0 / 13 · 1.56 xG
MIN2 / 17 · 1.84 xG
Low dangerperimeter & point
UTA0 / 40 · 0.63 xG
MIN1 / 42 · 0.63 xG

UTA went 0-for-13 from medium danger on 1.56 expected goals — 1.6 left on the table.

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

Finishing vs expected

expectedactual
UTA
0 G · 3.08 xG · -3.1
MIN
5 G · 4.53 xG · +0.5
0123456
Goalies · GSAx (goals saved above expected)
K. VejmelkaUTA
-0.5
F. GustavssonMIN
+3.1

UTA finished -3.1 against expected, MIN +0.5 — F. Gustavsson (MIN) saved 3.1 goals above expected.

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

Shot diet

goalsshots
UTA
WRIST0/25
SNAP0/7
TIP IN0/4
SLAP0/5
BACKHAND0/1
CRADLE0/0
DEFLECTED0/0
OTHER0/15
MIN
WRIST3/29
SNAP1/6
TIP IN0/6
SLAP0/5
BACKHAND1/3
CRADLE0/1
DEFLECTED0/1
OTHER0/16
UTA
MIN
Off the rush
0 G on 28 · 2.03 xG
3 G on 23 · 2.13 xG
Off rebounds
0 G on 3 · 0.47 xG
2 G on 5 · 1.16 xG

Wrist shots carried the volume: UTA went 0-for-25, MIN 3-for-29. MIN scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
K. Kaprizov
#97 · L · MIN
1 G · 1 A · 3 SOG · 20:45 TOI · +2
V. Tarasenko
#91 · R · MIN
0 G · 2 A · 2 SOG · 14:02 TOI · +3
Q. Hughes
#43 · D · MIN
0 G · 1 A · 1 SOG · 23:43 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • F. Gustavsson (MIN) stopped 3.1 goals above expected.
  • MIN was lethal off the rush — 3 goals on 23 rush chances.
  • MIN created 5 rebound opportunities (2 converted) — crashing the net effectively.
  • UTA created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • UTA underperformed xG by 3.1 — wasted quality chances.
  • F. Gustavsson (MIN) saved 3.1 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · UTA at MIN · 8:00 PM ET

Mammoth at Wild: a genuine coin flip

By the ModelJul 12, 6:52 AMEdited for clarity
Win probability

The model's lean

51%
MIN
Model favorite
49%
51%
UTA50MIN

MIN by 2 points of win probability — effectively a coin flip. Projected score UTA 2.52.6 MIN; 18% chance it's tied after 60.

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

Tale of the tape

UTA← edge
edge →MIN
52.0%5v5 xG%52.0%
53.0%Corsi%48.0%
2.64xGF / 602.55
2.39xGA / 602.40
2.26Goals for / gm2.04
1.99Goals against / gm1.93
1.003PDO — luck, not skill1.007

UTA holds 4 of 6 process categories — and PDO (1.003 vs 1.007) says MIN has run hotter.

Source · MoneyPuck season tables · 5v5

The model sees Minnesota at 51% to win—essentially a pick'em. The pregame projection sits at UTA 2.5 MIN 2.6, confirming that neither team projects a meaningful edge.

On paper, these teams are built for a draw. Utah and Minnesota both generate expected goals at 52.0% at 5v5, a signal that puck possession translates equally to both benches. But Utah's territorial advantage is real: they control shot attempts at 53.0% Corsi, while Minnesota sits at 48.0%. That gap—five points of volume—should theoretically push more chances toward the Wild net. Yet both PDOs (1.003 for Utah, 1.007 for Minnesota) sit near neutral, meaning neither has banked unsustainable luck from bounces and goalie performance.

The separation comes down to individual talent and matchups. Dylan Guenther drives Utah's offense at 1.02 expected goals per 60 minutes, backing a 28-goal, 15-assist season with a 16.8% shooting rate and three high-danger goals. He's the principal offensive weapon Minnesota must account for, and that burden falls on a defense vulnerable through Maveric Lamoureux. Daniil But (1.01 xG/60, 2G 2A) occupies the secondary lane, though his 5.6% shooting suggests regression coming.

Minnesota counters with Matt Boldy, a 22-goal threat at 0.89 xG/60 with a more sustainable 13.7% conversion rate and five high-danger tallies. That finishing efficiency—the ratio of real goals to chances created—is the dimension where Boldy outpaces his Utah counterpart. Robby Fabbri rounds out the focus group at 0.88 xG/60, though his 6.9% shooting and minimal touch (2G 3A) suggest he'll operate at the margins. Fabbri is also likely unavailable tonight, marked inactive.

The defensive weak link for Minnesota sits with Matt Kiersted, a structural liability Utah's top six will test repeatedly.

This is what evenness looks like: identical top-line generation (52.0% xG%), offsetting territorial control and luck factors, and two separate scoring hierarchies where neither side commands an obvious advantage. The 51% win probability isn't uncertainty—it's accurate pricing.

Computed danger · scouting

Players to watch

UTA
Dylan Guenther28G 15A
1.02 xG/60 · 3 HD · 16.8% sh
Daniil But2G 2A
1.01 xG/60 · 1 HD · 5.6% 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