Backcheck
Recap · WPG at MIN

Jets pull away from the Wild

The Jets stole one. They lost the expected-goals battle 3.22–3.78 and won anyway.

By the ModelJul 12, 12:58 AMxG: xgboost-0.758Edited for clarity
Away
WPG
Winnipeg Jets
6
Home
MIN
Minnesota Wild
2
FINAL
Process vs result

The underlying story

3.22Expected goals3.78
54% share for the better side
29Shot attempts (SOG)34
6High-danger chances8
49Corsi (all attempts)59
Score-adjusted: 39% / 61%
Source · NHL play-by-play · XGBoost xG

Winnipeg's 6-2 victory belies how close the underlying play was: expected goals nearly split even at 3.78-3.22, with Minnesota actually edging the Jets in shot attempts (54% of attempts, 34-29 on goal). This was a game the scoreboard won decisively but the data insists should have been tight.

The gap came down to goaltending. C. Hellebuyck stopped shots 1.78 goals above expected (0.941 SV% on 32 saves), while J. Wallstedt imploded below expectation by 3.78 goals despite light volume (0.700 SV% on 14 saves). Winnipeg's clinical execution in high-danger areas—converting 3 of 6 chances (50%)—meant every mistake Wallstedt made had scoreboard weight.

The Jets' precision extended beyond the crease. They scored twice from low-danger situations and found two goals off the rush on 22 chances. Minnesota created three rebound opportunities but converted none, while Winnipeg created six and buried three. The Wild underperformed by 1.8 goals against their xG—a shortfall that stung more because they'd earned that quality with 8 high-danger chances to Winnipeg's 6. They had the setup; Wallstedt and the finishing just never aligned.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
WPG3 / 6 · 1.47 xG
MIN2 / 8 · 2.08 xG
Medium dangermid-range
WPG1 / 11 · 1.13 xG
MIN0 / 11 · 1.05 xG
Low dangerperimeter & point
WPG2 / 32 · 0.62 xG
MIN0 / 40 · 0.65 xG

WPG went 3-for-6 from high danger on 1.47 expected goals — 1.5 above expected.

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

Finishing vs expected

expectedactual
WPG
6 G · 3.22 xG · +2.8
MIN
2 G · 3.78 xG · -1.8
01234567
Goalies · GSAx (goals saved above expected)
C. HellebuyckWPG
+1.8
J. WallstedtMIN
-3.8
F. GustavssonMIN
+1.0

WPG finished +2.8 against expected, MIN -1.8 — J. Wallstedt (MIN) allowed 3.8 more goals than expected.

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

Shot diet

goalsshots
WPG
WRIST2/23
SLAP3/11
SNAP1/4
BACKHAND0/1
DEFLECTED0/2
TIP IN0/0
BAT0/0
OTHER0/8
MIN
WRIST1/32
SLAP0/4
SNAP1/6
BACKHAND0/2
DEFLECTED0/0
TIP IN0/2
BAT0/1
OTHER0/12
WPG
MIN
Off the rush
2 G on 22 · 1.65 xG
1 G on 26 · 2.62 xG
Off rebounds
3 G on 6 · 1.30 xG
0 G on 3 · 0.43 xG

Wrist shots carried the volume: WPG went 2-for-23, MIN 1-for-32. WPG scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Scheifele
#55 · C · WPG
1 G · 3 A · 2 SOG · 18:55 TOI · +2
J. Morrissey
#44 · D · WPG
1 G · 1 A · 2 SOG · 22:13 TOI · +2
G. Vilardi
#13 · C · WPG
1 G · 1 A · 3 SOG · 16:06 TOI · -1
Ranked from the box score — points first · Backcheck
What the model flagged
  • C. Hellebuyck (WPG) stopped 1.8 goals above expected.
  • J. Wallstedt (MIN) gave up 3.8 goals more than expected — well below their workload.
  • WPG was clinical in the high-danger zone — 3/6 on HD chances (50%).
  • WPG scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • WPG was lethal off the rush — 2 goals on 22 rush chances.
  • MIN created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • WPG created 6 rebound opportunities (3 converted) — crashing the net effectively.
  • MIN underperformed xG by 1.8 — wasted quality chances.
  • WPG outperformed their expected goals by 2.8 — elite finishing or lucky bounces.
  • C. Hellebuyck (WPG) saved 1.8 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · WPG at MIN · 8:00 PM ET

The Wild are the model's lean over the Jets on the underlying numbers

By the ModelJul 12, 12:55 AMEdited for clarity
Win probability

The model's lean

55%
MIN
Model favorite
45%
55%
WPG50MIN

MIN by 10 points of win probability — a modest lean. Projected score WPG 2.42.7 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

WPG← edge
edge →MIN
48.0%5v5 xG%52.0%
49.0%Corsi%48.0%
2.34xGF / 602.55
2.55xGA / 602.40
1.90Goals for / gm2.04
2.10Goals against / gm1.93
0.998PDO — luck, not skill1.007

MIN holds 5 of 6 process categories — and PDO (0.998 vs 1.007) says MIN has run hotter.

Source · MoneyPuck season tables · 5v5

Minnesota's analytical edge is narrow but decisive. The model projects a 2.4–2.7 game in Minnesota's favor, with the Wild at 55% win probability—a lean driven entirely by superior shot quality, not shot volume.

The Wild own the underlying play at 5v5, generating 52.0% expected goals compared to Winnipeg's 48.0%. Corsi tells a murkier story: the teams are nearly even at the puck level (MIN 48.0%, WPG 49.0%), meaning Minnesota converts marginal possession into cleaner chances. Winnipeg's PDO sits at 0.998, suggesting neutral regression, while Minnesota checks in at 1.007—a minor positive bias that shouldn't persist.

C. Hellebuyck enters on a back-to-back, the first meaningful variable outside the model. Winnipeg could pivot to a backup or risk sending a fatigued Hellebuyck into a game where Minnesota's shot-quality advantage looms larger.

Players to Watch

Winnipeg:

  • Nino Niederreiter (0.87 xG/60, 6G 6A, 3 HD goals, 8.6% shooting)
  • Kyle Connor (0.83 xG/60, 25G 30A, 2 HD goals, 13.0% shooting)

Minnesota:

  • Matt Boldy (0.89 xG/60, 22G 18A, 5 HD goals, 13.7% shooting)
  • Robby Fabbri (0.88 xG/60, 2G 3A, 1 HD goal, 6.9% shooting) — likely out

Minnesota can neutralize Niederreiter's season-long excellence—6 goals, 0.87 xG/60, 3 high-danger goals—by deploying quality matchups. Winnipeg's defensive weak link is Colin Miller; Minnesota's is Matt Kiersted. The depth-scoring mismatch tilts Minnesota's way: Boldy's 5 high-danger goals and 22 finishes put him several tiers above Fabbri's production, and Fabbri's absence removes even that counterweight.

The model sees this as a coin-flip probability game that leans the right way for Minnesota. The underlying numbers confirm it.

Computed danger · scouting

Players to watch

WPG
Nino Niederreiter6G 6A
0.87 xG/60 · 3 HD · 8.6% sh
Kyle Connor25G 30A
0.83 xG/60 · 2 HD · 13.0% 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