Backcheck
Recap · MIN at WPG

Wild edge the Jets in overtime

The Wild stole one. They lost the expected-goals battle 3.14–3.45 and won anyway.

By the ModelJul 11, 9:55 PMxG: xgboost-0.758Edited for clarity
Away
MIN
Minnesota Wild
4
Home
WPG
Winnipeg Jets
3
FINAL / OT
Process vs result

The underlying story

3.14Expected goals3.45
52% share for the better side
19Shot attempts (SOG)26
3High-danger chances5
54Corsi (all attempts)60
Score-adjusted: 49% / 52%
Source · NHL play-by-play · XGBoost xG

The scoreboard lied. Minnesota won 4–3 in overtime, but the Jets controlled the game—58% of shot attempts, 3.45 expected goals to the Wild's 3.14, five high-danger chances. The underlying numbers suggested Winnipeg should have at least tied.

Minnesota won because of variance in the blue paint. The Jets converted zero of five high-danger chances, a miss rate that doesn't persist. Meanwhile, J. Wallstedt stopped all five high-danger shots he faced, a 100% save rate against the threat that matters most. That goaltending swing alone flipped a game the metrics said should go even.

The Wild also overperformed their xG by 0.86 goals. C. Hellebuyck took the loss at 0.789 SV%, sitting 0.86 below what the shot quality demanded.

Both teams succeeded in transition. The Jets buried 2 goals on 24 rush chances; the Wild 4 on 29. That slight edge in rush conversion, layered on top of high-danger variance and goaltending, was enough to steal a game Winnipeg's metrics say they owned.

The overtime winner: Matt Boldy's snap shot from the high slot at 00:39, the last punch when the stat sheet and the scoreboard told different stories.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MIN0 / 3 · 0.66 xG
WPG0 / 5 · 1.43 xG
Medium dangermid-range
MIN4 / 18 · 2.00 xG
WPG3 / 13 · 1.36 xG
Low dangerperimeter & point
MIN0 / 33 · 0.48 xG
WPG0 / 42 · 0.66 xG

MIN went 4-for-18 from medium danger on 2.00 expected goals — 2.0 above expected.

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

Finishing vs expected

expectedactual
MIN
4 G · 3.14 xG · +0.9
WPG
3 G · 3.45 xG · -0.5
012345
Goalies · GSAx (goals saved above expected)
J. WallstedtMIN
+0.4
C. HellebuyckWPG
-0.9

MIN finished +0.9 against expected, WPG -0.5 — C. Hellebuyck (WPG) allowed 0.9 more goals than expected.

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

Shot diet

goalsshots
MIN
WRIST0/16
SLAP0/6
TIP IN0/9
SNAP2/3
DEFLECTED1/2
BACKHAND1/1
BAT0/0
OTHER0/17
WPG
WRIST1/24
SLAP1/8
TIP IN0/4
SNAP1/4
DEFLECTED0/0
BACKHAND0/1
BAT0/1
OTHER0/18
MIN
WPG
Off the rush
4 G on 29 · 2.61 xG
2 G on 24 · 2.03 xG
Off rebounds
0 G on 2 · 0.31 xG
0 G on 4 · 0.51 xG

Wrist shots carried the volume: MIN went 0-for-16, WPG 1-for-24. MIN scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
Q. Hughes
#43 · D · MIN
0 G · 3 A · 0 SOG · 25:37 TOI · +1
K. Kaprizov
#97 · L · MIN
1 G · 2 A · 3 SOG · 22:16 TOI · +1
M. Scheifele
#55 · C · WPG
1 G · 1 A · 5 SOG · 21:09 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • WPG couldn't convert — 0/5 on high-danger chances. That won't happen often.
  • WPG was lethal off the rush — 2 goals on 24 rush chances.
  • MIN was lethal off the rush — 4 goals on 29 rush chances.
  • WPG created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • J. Wallstedt was a wall on HD chances — 100% SV on 5 high-danger shots.
Before the game — the model's pre-game read
Preview · MIN at WPG · 7:00 PM ET

Wild at Jets: a genuine coin flip

By the ModelJul 11, 9:54 PMEdited for clarity
Win probability

The model's lean

51%
MIN
Model favorite
51%
49%
MIN50WPG

MIN by 2 points of win probability — effectively a coin flip. Projected score MIN 2.52.5 WPG; 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 →WPG
52.0%5v5 xG%48.0%
48.0%Corsi%49.0%
2.55xGF / 602.34
2.40xGA / 602.55
2.04Goals for / gm1.90
1.93Goals against / gm2.10
1.007PDO — luck, not skill0.998

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

Source · MoneyPuck season tables · 5v5

The model projects a 2.5–2.5 game with Minnesota at 51% win probability. This is a genuine pick'em, which matters because neither team can claim a clear edge.

Minnesota owns the underlying play. The Wild generate 52.0% expected goals at 5-on-5 compared to Winnipeg's 48.0%, a separation that should compound over time. Yet the Jets stay competitive in puck possession (49.0% Corsi to Minnesota's 48.0%), and both teams' PDO numbers are close to neutral (1.007 for the Wild, 0.998 for the Jets), meaning neither has squeezed or wasted luck this season.

The difference comes down to execution. Matt Boldy drives play for Minnesota, averaging 0.89 expected goals per 60 minutes with 22 goals, 18 assists, and 5 high-danger chances. His 13.7% shooting rate sits above league average—his 22 goals earned their ice. Robby Fabbri operates at a similar 0.88 xG/60 but hasn't converted: 2 goals on 3 assists with a 6.9% shooting rate leave upside on the board. For Winnipeg, Kyle Connor is the straightforward engine: 25 goals, 30 assists, 0.83 xG/60, and a 13.0% shooting rate that explains his scoring volume. Nino Niederreiter runs a notch below him (0.87 xG/60, 6 goals, 3 high-danger chances), so Winnipeg leans harder on Connor and depth scoring.

Neither team has solved the hard-to-score play. Both sit at 0% high-danger goal rate and 0% rebound goal rate, a pair of outliers suggesting luck will swing both ways as the season progresses. Minnesota's defensive weak link is Matt Kiersted; Winnipeg's is Colin Miller. That asymmetry matters in a one-goal game.

The model splits the difference because it should. Minnesota's superior shot quality edges out Winnipeg's puck possession, but Winnipeg's depth at the wing and Connor's consistency are real. Call it a coin flip and move on—there's no hidden read here.

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
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
Source · MoneyPuck skaters