Motion-blurred skater in a Minnesota Wild sweater
Breakdown · CHI at MIN · Preseason

Wild run the Blackhawks off the ice on the underlying numbers

The verdict · earned

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

CHI 2 · MIN 3
Preseason · exhibition

Split squads and prospects, not the club that will take the ice in October. The shots and grades below describe this game only: nothing here counts toward season records, form, rankings or player numbers.

◆ By the ModelSep 22, 10:32 PMxG: xgboost-0.758Edited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

Minnesota needed overtime to beat Chicago, and Tyler Pitlick delivered it with a deflection from a sharp angle. But the final score, 3-2, undersells how one-sided this game actually was.

Chicago led for stretches of this one. R. Lorenz opened the scoring for Minnesota in the first period, set up by D. Gambrell and D. Hunt, but D. Toninato answered for the Blackhawks later in the period off a feed from K. Korchinski and G. Hayes. Chicago then took the lead in the second period when D. Boucher scored, assisted by C. Mylymok and S. Boisvert. Minnesota didn't tie it back up until the third period, when N. Sturm finished a play started by O. Maatta and R. Lorenz. That forced overtime, where Pitlick — fed by H. Haight and D. Hunt — won it.

Read that sequence cold and it looks like a game Chicago led twice and nearly stole. It wasn't that kind of game. The Wild controlled 68% of five-on-five expected goals, running up a 3.89-to-1.84 edge in the expected-goals math, and that gap is the real story here. Minnesota also held 62% of shot attempts, winning the shot-attempt battle 26-16 on goal, and out-chanced Chicago on high-danger looks, 4-2. For most of regulation, Minnesota dictated play and Chicago simply hung on.

That the game still needed overtime is more about variance than about who played better. Minnesota actually underperformed its own expected-goals total by 0.89 goals — a night where the better team kept getting stonewalled more than the shot quality said it should. A. Soderblom is a big reason why: he stopped 23 of 26 for a .885 save percentage and finished 0.89 goals above expected, essentially erasing a full expected goal on his own. At the other end, C. Pickard was shakier, saving 14 of 16 and sitting 0.16 goals below expected.

The report card reflects that gap between performance and result. Chicago's offense graded D+, managing just 1.84 expected goals against a league-average game of roughly 2.70. Its defense graded an F, allowing 3.89 expected goals and conceding 29 rush shots worth 2.70 expected goals to Minnesota — the same transition breakdowns that made up the "biggest concern" line on this game, present in every period. Minnesota's offense and transition play graded A and A-, mirroring that same shot-quality dominance from the other side of the puck.

Chicago wasn't harmless in transition on the other end, though. The Blackhawks scored twice on their own 18 rush chances, exactly the kind of quick-strike hockey that kept this from looking as lopsided as the underlying numbers suggest.

Special teams were a non-factor for either club — Chicago finished 0-for-4 on the power play and Minnesota 0-for-5, both well off the league rate of roughly 21%.

Three Stars

  • D. Hunt (MIN) — two assists in 23:51
  • R. Lorenz (MIN) — a goal and an assist in 15:33
  • K. Korchinski (CHI) — an assist in 25:25
The breakdown in twelve frames

Swipe it

Every number is from this page
Final · OT · Preseason · Sep 19
CHI
2
MIN
3

Wild run the Blackhawks off the ice on the underlying numbers

Chances 1.8 – 3.9Did they deserve it? →
Did they deserve it?

The Wild earned this one.

Expected goals · chance value
CHI
1.84
MIN
3.89
32% of the chances68%

The board read CHI 2, MIN 3. The chances read CHI 1.8, MIN 3.9.

Our xG model · NHL play-by-play · all situations
Luck check
MIN
−0.9
goals above expected
MIN3.89 expected · 3 scored
Expected
Scored
CHI1.84 expected · 2 scored
Expected
Scored

Both sides finished close to what their chances were worth. This one was earned on the ice.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 07:56MINR. Lorenz0–1
  2. P1 12:12CHID. Toninato1–1
  3. P2 04:19CHID. Boucher2–1
  4. P3 14:06MINN. Sturm2–2
  5. OT 03:58MINT. Pitlick2–3
NHL play-by-play · chance value from our xG model
Chances by danger
CHIMIN
0 / 2
0.44 xG
High danger
1 / 4
0.82 xG
2 / 12
1.18 xG
Medium
2 / 22
2.53 xG
0 / 24
0.22 xG
Low
0 / 34
0.54 xG

High-danger looks: CHI 0 of 2, MIN 1 of 4.

Danger tiers by our xG model · high ≥ 20% chance
In the net
B+
A. Soderblom
+0.9
CHI · 23/26
C
C. Pickard
−0.2
MIN · 14/16
Report card
CHIMIN
OffenseD+A
DefenseFB-
TransitionD-A-
Special teamsFF
GoaltendingBC
DisciplineC-B-
LuckBD+
Seven dimensions, A+ to F · basis on the breakdown
Why it went the way it went
Why MIN won
  1. 01Dangerous off the rush
  2. 02Won on the merits
  3. 03D. Hunt led the way
Why CHI lost
  1. 01Rush defense leaked all night
  2. 02Power play came up empty
  3. 03Rebound control was shaky
Our storyline model · reasoning on the breakdown
The numbers, checked
BACKCHECK

Wild run the Blackhawks off the ice on the underlying numbers

A model, not a newsroom. Every number on these frames comes from the NHL's play-by-play and our own models. Nothing was watched, guessed or heard from anyone.

Read the full breakdown
backcheckreport.com
01 / 09 · Final
Every goal, in order

How it happened

NHL play-by-play
1stshots 4–14
  1. 07:56MINR. Lorenz(D. Gambrell, D. Hunt)0–1
  2. 12:12CHID. Toninato(K. Korchinski, G. Hayes)1–1
2ndshots 7–4
  1. 04:19CHID. Boucher(C. Mylymok, S. Boisvert)2–1
3rdshots 3–6
  1. 14:06MINN. Sturm(O. Maatta, R. Lorenz)2–2
OTshots 2–2
  1. 03:58MINT. Pitlick(H. Haight, D. Hunt)2–3

score reads CHI–MIN

Source · NHL play-by-play (api-web.nhle.com)
Process vs result

The numbers

XGBoost xG · NHL play-by-play
3.89
MIN chances
Goals their shots were worth
−0.9
Finishing
Goals below what those chances were worth
0.997
MIN puck luck
About 1.000 — a normal night for bounces
61.2%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

1.84Expected goals3.89
MIN 68% of the chance quality
16Shots on goal26
2High-danger chances4
38All attempts (Corsi)60
Adjusted for score: CHI 37% · MIN 63%
Faceoffs · MIN won40%off39%neu38%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CHI0 / 2 · 0.44 xG
MIN1 / 4 · 0.82 xG
Medium dangermid-range
CHI2 / 12 · 1.18 xG
MIN2 / 22 · 2.53 xG
Low dangerperimeter & point
CHI0 / 24 · 0.22 xG
MIN0 / 34 · 0.54 xG

CHI went 2-for-12 from medium danger on 1.18 expected goals — 0.8 above expected.

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

Finishing vs expected

expectedactual
CHI
2 G · 1.84 xG · +0.2
MIN
3 G · 3.89 xG · -0.9
012345

CHI finished +0.2 against expected, MIN -0.9.

Source · Backcheck xG model
Shot types · rush and rebound chancesopen +
What they shot — and what went in

Shot diet

goalsshots
CHI
WRIST2/15
SNAP0/5
TIP IN0/1
BACKHAND0/1
DEFLECTED0/0
WRAP AROUND0/0
SLAP0/0
OTHER0/16
MIN
WRIST1/21
SNAP0/6
TIP IN1/8
BACKHAND0/5
DEFLECTED1/2
WRAP AROUND0/1
SLAP0/1
OTHER0/16
CHI
MIN
Off the rush
2 G on 18
1.75 xG
2 G on 29
2.70 xG
Off rebounds
0 G on 1
0.04 xG
1 G on 6
0.74 xG

Wrist shots carried the volume: CHI went 2-for-15, MIN 1-for-21. CHI scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
New to these numbers?

Two things happened in this game: who created the better chances, and who put the puck in the net. They are not the same thing, and this page separates them on purpose.

The one to watch is expected goals— the best single read on who deserved to win. When it disagrees with the scoreboard, that disagreement is usually the story. Nothing here is a projection; every figure is computed from this game's play-by-play. Full glossary →

xG
Expected goals. Every shot scored by how often that exact look goes in. 2.5 xG means the chances were worth about two and a half goals.
HD
High-danger chances — shots from the slot and the crease, where shots actually become goals.
Corsi
Every shot attempt, including the ones that missed or got blocked. A rough read on who had the puck.
Adj.
Score-adjusted. Teams that trail shoot more and teams that lead sit back, so this corrects the attempt count for the scoreboard.
GSAx
Goals saved above expected. A positive number means the goalie stopped more than an average goalie would have on those shots.
PDO
Shooting % plus save % — a luck gauge. It sits near 1.000 over a season, so a game far from it usually means the bounces decided it.
Shot by shot

In the net

Graded on goals saved above expected
A. Soderblom
CHI · 23/26 · .885
+0.9
saved above expected
B+
the night
By dangerG/attxGsaved
High danger1/40.8-0.2
Medium2/222.5+0.5
Low0/340.5+0.5

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

C. Pickard
MIN · 14/16 · .875
-0.2
saved above expected
C
the night
By dangerG/attxGsaved
High danger0/20.4+0.4
Medium2/121.2-0.8
Low0/240.2+0.2

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

Graded against a league-average game

Report card

Seven dimensions · A+ to F
DimensionCHIMIN
Offense
▸Basis

CHI Created 1.84 xG against a ~2.70 league-average game; 2 high-danger shots (0.44 xG) and 18 rush shots (1.75 xG).

MIN Created 3.89 xG against a ~2.70 league-average game; 4 high-danger shots (0.82 xG) and 29 rush shots (2.70 xG).

D+
68
A
94
Defense
▸Basis

CHI Allowed 3.89 xG against a ~2.70 league-average game; conceded 4 high-danger shots (0.82 xG) and 29 rush shots (2.70 xG).

MIN Allowed 1.84 xG against a ~2.70 league-average game; conceded 2 high-danger shots (0.44 xG) and 18 rush shots (1.75 xG).

F
56
B-
82
Transition
▸Basis

CHI Rush shots 18–29, rush xG 1.75–2.70 (rush-based; public data has no zone entries).

MIN Rush shots 29–18, rush xG 2.70–1.75 (rush-based; public data has no zone entries).

D-
60
A-
90
Special teams
▸Basis

CHI 0-for-4 on the power play (0%; league ≈21%) with 0.34 PP xG.

MIN 0-for-5 on the power play (0%; league ≈21%) with 0.55 PP xG.

F
51
F
52
Goaltending
▸Basis

CHI +0.89 goals saved above expected on 26 shots against.

MIN -0.16 goals saved above expected on 16 shots against.

B
84
C
73
Discipline
▸Basis

CHI Took 5 penalties for 10 PIM vs 4 for 8 on the other side.

MIN Took 4 penalties for 8 PIM vs 5 for 10 on the other side.

C-
70
B-
80
Luck

Grades bounces, not skill — C is neutral

▸Basis

CHI Finishing +0.16 goals vs xG plus +0.89 GSAx of save luck = +1.05 total. This grades luck, not skill — C is neutral, A is very lucky.

MIN Finishing -0.89 goals vs xG plus -0.16 GSAx of save luck = -1.05 total. This grades luck, not skill — C is neutral, A is very lucky.

B
83
D+
67
Source · NHL play-by-play · xG engine · luck graded separately
What the model flagged
WARNINGCHI

Rush defense leaked all night

Gave up 29 rush shots worth 2.70 xG (2 goals) — transition gaps were there every period.

Tighten neutral-zone structure and keep D gaps closed on entries.

STRENGTHMIN

Dangerous off the rush

2 goals on 29 rush shots worth 2.70 xG.

WARNINGMIN

Rush defense leaked all night

Gave up 18 rush shots worth 1.75 xG (2 goals) — transition gaps were there every period.

Tighten neutral-zone structure and keep D gaps closed on entries.

STRENGTHMIN

Won on the merits

The Wild controlled 68% of expected goals (3.89–1.84) and won 3-2 in overtime — result matched process.

STRENGTHCHI

Dangerous off the rush

2 goals on 18 rush shots worth 1.75 xG.

WARNINGMIN

Power play came up empty

0-for-5 with the man advantage on 0.55 PP xG.

Rework PP entries and get a body to the net-front.

Ranked from the box score

Three stars

Points first
Three stars · computed, not voted
D. Hunt
#48 · D · MIN
0 G · 2 A · 2 SOG · 23:51 on ice · -1
R. Lorenz
#61 · L · MIN
1 G · 1 A · 3 SOG · 15:33 on ice · +2
K. Korchinski
#14 · D · CHI
0 G · 1 A · 1 SOG · 25:25 on ice · +1
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Sat, Sep 19
Open the pre-game read
Written from the numbers

The read

Edited for clarity
Preseason · exhibition

Split squads and prospects, not the club that will take the ice in October. The rates below are last season's; this exhibition will not count toward season records, form, rankings or player numbers.

◆ By the ModelSep 19, 9:40 AMEdited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

Minnesota's underlying dominance—52.0% xG% to Chicago's 43.5%—translates to a 60% win probability in tonight's game. The model projects a 2.8 to 3.5 goal range favoring the Wild.

Possession metrics confirm the gap. Minnesota sits at 48.5% Corsi while Chicago lags at 46.0%, a differential large enough to explain both teams' season trajectories. Neither team rides favorable puck luck: Chicago's PDO sits at 0.996, Minnesota's at 1.008—both neutral, meaning the underlying play is doing the predictive work.

The matchup hinges on edge execution. Minnesota must neutralize Tyler Bertuzzi, who operates at 0.85 xG/60 with 20 goals and 7 high-danger conversions on 18.0% shooting. That elite volume in close combined with above-average conversion is what Minnesota needs to suffocate. Chicago's countermeasure is Matt Boldy, who carries 0.89 xG/60 (22 goals, 5 high-danger) on 13.7% shooting—the inverse problem: elite volume and efficiency that forces Chicago to commit bodies.

Chicago's structural vulnerability is Anton Frondell, on ice for 4.31 expected goals against per 60 minutes. Minnesota should hunt those minutes. Matt Kiersted presents a less severe liability on Minnesota's blue line, but the gap between teams' weakest defensemen is where games like this are decided.

Chicago's second-line production carries Connor Bedard at 0.82 xG/60 (17 goals, 11.8% shooting), respectable but not threatening enough under Chicago's possession disadvantage. Minnesota's depth shows in Robby Fabbri's 0.88 xG/60, even if goal production sits at 2; the underlying numbers suggest Fabbri is tracking upward.

The model's 60% lean to Minnesota reflects a clean gap in competing ability, not variance swinging one way. Chicago would need goaltending or a power-play anomaly to steal this; the even-strength game belongs to the Wild.

Season rates in this preview are from 2025-26 — this season's sample isn't live yet.

What the model said beforehand

The model's lean

MIN 60%
60%
MIN
Model favorite
40%
60%
CHI50MIN

MIN by 20 points of win probability — a clear lean. Projected score CHI 2.8–3.5 MIN; 16% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season rates · 5v5

Tale of the tape

NHL stats API · our xG
CHI← edge
edge →MIN
43.5%52.0%
46.0%48.5%
2.623.27
3.403.02
2.563.27
3.292.87
0.9961.008

MIN holds 6 of 6 process categories — and the luck row (0.996 vs 1.008) says MIN has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · No games yet
CHI
0-0-0
+0 GD · 0d rest
MIN
0-0-0
+0 GD · 0d rest
0.996
CHI PDO
Luck gauge · drifts to 1.000
1.008
MIN PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

TACTICALMIN

Shutdown Assignment: Wild

Key matchup: Neutralize Tyler Bertuzzi (20G, 0.85 xG/60, 7 HD goals)

Key matchup: Neutralize Tyler Bertuzzi (20G, 0.85 xG/60, 7 HD goals)

TACTICALCHI

Shutdown Assignment: Blackhawks

Key matchup: Neutralize Matt Boldy (22G, 0.89 xG/60, 5 HD goals)

Key matchup: Neutralize Matt Boldy (22G, 0.89 xG/60, 5 HD goals)

WARNINGCHI

Exploitable minutes: Anton Frondell

Anton Frondell is on ice for 4.31 xGA/60 and 12 high-danger shots against this season.

Hunt matchups against Anton Frondell's shifts with the top line.

WARNINGMIN

Exploitable minutes: Matt Kiersted

Matt Kiersted is on ice for 3.56 xGA/60 and 7 high-danger shots against this season.

Hunt matchups against Matt Kiersted's shifts with the top line.

Where the edges live
  • The Wild own the underlying play — 52.0% 5v5 xG vs 43.5%.
Things to watch
  • The Wild own the underlying play — 52.0% 5v5 xG vs 43.5%.
Computed danger · scouting

Players to watch

NHL stats API · our xG
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
Keep going

Where to next