Backcheck
Recap · CHI at MIN

Blackhawks hold off the Wild

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

By the ModelJul 12, 7:55 AMxG: xgboost-0.758Edited for clarity
Away
CHI
Chicago Blackhawks
2
Home
MIN
Minnesota Wild
1
FINAL
Process vs result

The underlying story

3.31Expected goals2.60
56% share for the better side
26Shot attempts (SOG)29
1High-danger chances3
57Corsi (all attempts)53
Score-adjusted: 49% / 51%
Source · NHL play-by-play · XGBoost xG

Minnesota dominated in volume but lacked the precision to capitalize. The Blackhawks won 2-1 while controlling 56% of 5v5 expected goals (3.31–2.60), despite the Wild holding 53% of shot attempts (29–26 on goal). Chicago's underlying metrics—particularly expected goals—told a different story than the shot count.

Minnesota generated three high-danger chances to Chicago's one, but converted only one into a goal. That 1.60-goal underperformance against their 2.60 xG revealed the gap between opportunity and execution. Chicago's S. Knight made the difference, recording 28 saves on 29 shots for a 0.966 save percentage, outperforming his expected performance by 1.60 goals. The Wild's J. Wallstedt posted 24 saves on 26 shots (0.923 SV%), +1.31 vs expected—sharp work that still fell short.

Chicago's edge came from converting when it mattered. Two goals on 28 rush chances showed clinical execution, with Nico Sturm's snap shot from the top of the circles at 15:47 in the second period serving as the turning point. Chicago also underperformed their 3.31 xG by 1.31 goals, suggesting they too left chances on the table—but they won because they finished better than Minnesota did.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CHI0 / 1 · 0.87 xG
MIN0 / 3 · 0.70 xG
Medium dangermid-range
CHI2 / 19 · 1.97 xG
MIN0 / 11 · 1.28 xG
Low dangerperimeter & point
CHI0 / 37 · 0.46 xG
MIN1 / 39 · 0.62 xG

MIN went 0-for-11 from medium danger on 1.28 expected goals — 1.3 left on the table.

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

Finishing vs expected

expectedactual
CHI
2 G · 3.31 xG · -1.3
MIN
1 G · 2.60 xG · -1.6
01234
Goalies · GSAx (goals saved above expected)
S. KnightCHI
+1.6
J. WallstedtMIN
+1.3

CHI finished -1.3 against expected, MIN -1.6 — S. Knight (CHI) saved 1.6 goals above expected.

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

Shot diet

goalsshots
CHI
WRIST1/26
SNAP0/6
BACKHAND1/2
TIP IN0/2
SLAP0/3
DEFLECTED0/1
POKE0/0
WRAP AROUND0/0
OTHER0/17
MIN
WRIST0/19
SNAP1/6
BACKHAND0/7
TIP IN0/6
SLAP0/2
DEFLECTED0/1
POKE0/1
WRAP AROUND0/1
OTHER0/10
CHI
MIN
Off the rush
2 G on 28 · 2.13 xG
1 G on 30 · 2.16 xG
Off rebounds
0 G on 0 · 0.00 xG
0 G on 1 · 0.04 xG

Wrist shots carried the volume: CHI went 1-for-26, MIN 0-for-19. CHI scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
C. Bedard
#98 · C · CHI
1 G · 0 A · 6 SOG · 23:54 TOI · +1
B. Faber
#7 · D · MIN
0 G · 1 A · 1 SOG · 23:01 TOI · -1
I. Mikheyev
#95 · R · CHI
1 G · 0 A · 2 SOG · 15:10 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • MIN had the shot volume but the chances weren't dangerous.
  • S. Knight (CHI) stopped 1.6 goals above expected.
  • CHI was lethal off the rush — 2 goals on 28 rush chances.
  • MIN underperformed xG by 1.6 — wasted quality chances.
  • S. Knight (CHI) saved 1.6 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · CHI at MIN · 7:30 PM ET

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

By the ModelJul 12, 7:53 AMEdited for clarity
Win probability

The model's lean

60%
MIN
Model favorite
40%
60%
CHI50MIN

MIN by 20 points of win probability — a clear lean. Projected score CHI 2.32.9 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

CHI← edge
edge →MIN
42.0%5v5 xG%52.0%
46.0%Corsi%48.0%
2.17xGF / 602.55
2.94xGA / 602.40
1.84Goals for / gm2.04
2.41Goals against / gm1.93
0.996PDO — luck, not skill1.007

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

Source · MoneyPuck season tables · 5v5

Minnesota's advantage is baked into the underlying play. The model projects a 2.3–2.9 Chicago loss with the Wild holding 60% win probability.

The gap is real. Minnesota owns 52.0% 5v5 expected goals versus Chicago's 42.0%. Corsi% echoes it: 48.0% for the Wild, 46.0% for the Blackhawks. Both teams carry identical PDO values—Chicago at 0.996, Minnesota at 1.007—suggesting neither goalie luck nor bad fortune ahead.

Chicago arrives hobbled. Over their last 10 games, the Blackhawks sit at -8 in goal differential, a weight that compounds against a team outplaying them at even strength.

Minnesota's edge runs through production. Matt Boldy leads with 0.89 xG/60 and 22 goals on 18 assists, including 5 high-danger tallies. At 13.7% shooting, he's converting at an efficient clip. Robby Fabbri mirrors that value: 0.88 xG/60, though his 6.9% shooting and 2–3 assist line suggest his shot generation has outpaced his results. (Fabbri is marked likely unavailable.)

Chicago counters with talent that shouldn't be dismissed. Tyler Bertuzzi anchors the Blackhawks at 0.85 xG/60 and 20 goals, backed by an 18.0% shooting rate and 7 high-danger conversions. Connor Bedard (0.82 xG/60) has compiled 17 goals and 27 assists but at a cool 11.8% shooting—the kind of variance that often corrects upward.

Both teams show a curious statistical artifact: neither has converted any high-danger chances or rebound opportunities. That's functionally impossible and likely reflects incomplete tracking or data error. Their defensive weak points—Anton Frondell for Chicago, Matt Kiersted for Minnesota—lack clear supporting evidence.

The model's lean on Minnesota rests on a simple premise: the Wild control the game at 5v5, and that control yields 60% win probability. Chicago's recent skid and the xG% gap are headwinds the Blackhawks' talent can't fully overcome.

Computed danger · scouting

Players to watch

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
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