Backcheck
Recap · MIN at CHI

Wild steal one from the Blackhawks against the run of play

The Wild stole one. They lost the expected-goals battle 3.31–4.77 and won anyway.

By the ModelJul 11, 5:47 PMxG: xgboost-0.758Edited for clarity
Away
MIN
Minnesota Wild
4
Home
CHI
Chicago Blackhawks
3
FINAL / OT
Process vs result

The underlying story

3.31Expected goals4.77
59% share for the better side
24Shot attempts (SOG)37
5High-danger chances7
53Corsi (all attempts)65
Score-adjusted: 47% / 53%
Source · NHL play-by-play · XGBoost xG

Minnesota won a game it had no right to win. The Blackhawks controlled 59% of expected goals (4.77–3.31), held 61% of shot attempts, and created more high-danger chances (7 to 5). The final score was Wild 4, Blackhawks 3 in overtime. This was a heist.

F. Gustavsson saved the night. The Minnesota goaltender stopped 34 of 37 shots (0.919 SV%) and ran 1.77 goals above expected — the margin between a regulation loss and an overtime win. S. Knight finished at 20 saves on 24 shots (0.833 SV%), running 0.69 goals below expected.

Minnesota's edge came in two places: ruthlessness in high-danger areas and efficiency on the rush. The Wild went 2 of 5 on high-danger chances (40%), while Chicago scored three goals on 34 rush attempts. Minnesota scored two goals on 18 rush chances — a sharper ratio. The Wild also scored twice from low-danger spots, the kind of finishes a cohesive defense would prevent.

Chicago's rebound crash was energetic but fruitless: 11 rebound opportunities created, none converted. Minnesota had four rebounding chances and cashed one. In a game decided by margin rather than dominance, those small edges compound.

Kirill Kaprizov's wrist shot at 01:38 of overtime ended it — a moment of execution that xG cannot predict.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MIN2 / 5 · 1.38 xG
CHI1 / 7 · 1.75 xG
Medium dangermid-range
MIN0 / 12 · 1.45 xG
CHI2 / 20 · 2.16 xG
Low dangerperimeter & point
MIN2 / 36 · 0.48 xG
CHI0 / 38 · 0.86 xG

MIN went 2-for-36 from low danger on 0.48 expected goals — 1.5 above expected.

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

Finishing vs expected

expectedactual
MIN
4 G · 3.31 xG · +0.7
CHI
3 G · 4.77 xG · -1.8
0123456
Goalies · GSAx (goals saved above expected)
F. GustavssonMIN
+1.8
S. KnightCHI
-0.7

MIN finished +0.7 against expected, CHI -1.8 — F. Gustavsson (MIN) saved 1.8 goals above expected.

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

Shot diet

goalsshots
MIN
WRIST3/28
SLAP0/6
SNAP0/1
TIP IN1/3
BACKHAND0/2
DEFLECTED0/1
WRAP AROUND0/1
POKE0/0
OTHER0/11
CHI
WRIST0/31
SLAP0/7
SNAP2/9
TIP IN0/5
BACKHAND1/2
DEFLECTED0/2
WRAP AROUND0/1
POKE0/1
OTHER0/7
MIN
CHI
Off the rush
2 G on 18 · 1.78 xG
3 G on 34 · 2.85 xG
Off rebounds
1 G on 4 · 0.81 xG
0 G on 11 · 1.57 xG

Wrist shots carried the volume: MIN went 3-for-28, CHI 0-for-31. CHI scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Boldy
#12 · L · MIN
1 G · 2 A · 6 SOG · 22:34 TOI · +2
B. Faber
#7 · D · MIN
1 G · 1 A · 4 SOG · 25:04 TOI
C. Bedard
#98 · C · CHI
1 G · 1 A · 3 SOG · 22:49 TOI · -1
Ranked from the box score — points first · Backcheck
What the model flagged
  • MIN stole this one. CHI owned 59% of the xG and lost.
  • F. Gustavsson (MIN) stopped 1.8 goals above expected.
  • MIN was clinical in the high-danger zone — 2/5 on HD chances (40%).
  • MIN scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • CHI was lethal off the rush — 3 goals on 34 rush chances.
  • MIN was lethal off the rush — 2 goals on 18 rush chances.
  • CHI created 11 rebound opportunities (0 converted) — crashing the net effectively.
  • MIN created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • CHI underperformed xG by 1.8 — wasted quality chances.
  • F. Gustavsson (MIN) saved 1.8 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · MIN at CHI · 8:30 PM ET

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

By the ModelJul 11, 5:44 PMEdited for clarity
Win probability

The model's lean

56%
MIN
Model favorite
56%
44%
MIN50CHI

MIN by 12 points of win probability — a modest lean. Projected score MIN 2.82.4 CHI; 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 →CHI
52.0%5v5 xG%42.0%
48.0%Corsi%46.0%
2.55xGF / 602.17
2.40xGA / 602.94
2.04Goals for / gm1.84
1.93Goals against / gm2.41
1.007PDO — luck, not skill0.996

MIN holds 6 of 6 process categories — and PDO (1.007 vs 0.996) says MIN has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.8–2.4 Minnesota win at 56% Wild probability. This lean rests on Minnesota's underlying control: 52.0% 5v5 xG against Chicago's 42.0%, with Corsi splits of 48.0% to 46.0%. The expected-goals gap reflects cleaner shot quality than possession numbers suggest. Minnesota's PDO of 1.007 versus Chicago's 0.996 indicates both teams track to sustainable luck. The Wild are riding form—8-1-1 in their last 10.

Matt Boldy is the axis. He carries 0.89 xG/60 with 22 goals and 18 assists, backed by 5 high-danger chances and a 13.7% shooting rate. Chicago must contain him. Robby Fabbri would provide secondary threat at 0.88 xG/60, but he's marked inactive after 2 goals and 3 assists; his 6.9% shooting left room for regression anyway.

Tyler Bertuzzi generates for Chicago at 0.85 xG/60 with 20 goals, 15 assists, and 7 high-danger chances—similar to Boldy's rate. His 18.0% shooting is unsustainable and has inflated his production. Connor Bedard sits at 0.82 xG/60 with 17 goals and 27 assists; his 11.8% shooting is closer to sustainable. Bedard's assist total masks that he's not the goal threat Bertuzzi is.

Defensively, Minnesota leaks at Matt Kiersted; Chicago's is Anton Frondell. Both teams sit at 0% high-danger and rebound-goal rates—an unusual symmetry that limits upside in tight moments. Minnesota's form and underlying edge support the 56% forecast.

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
CHI
Tyler Bertuzzi20G 15A
0.85 xG/60 · 7 HD · 18.0% sh
Connor Bedard17G 27A
0.82 xG/60 · 5 HD · 11.8% sh
Source · MoneyPuck skaters