Backcheck
Recap · CHI at PIT

Penguins run the Blackhawks off the ice on the underlying numbers

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

By the ModelJul 12, 3:13 AMxG: xgboost-0.758Edited for clarity
Away
CHI
Chicago Blackhawks
2
Home
PIT
Pittsburgh Penguins
6
FINAL
Process vs result

The underlying story

2.54Expected goals5.81
70% share for the better side
20Shot attempts (SOG)45
3High-danger chances6
45Corsi (all attempts)84
Score-adjusted: 38% / 62%
Source · NHL play-by-play · XGBoost xG

Pittsburgh's 6–2 victory barely contained the Penguins' dominance: they controlled 70 percent of 5v5 expected goals (5.81–2.54), translating that control into a four-goal margin. This wasn't scoreboard luck—it was dominance across every underlying metric.

The depth of Pittsburgh's control was evident in the shot totals: 69 percent of attempts went to the Penguins (45–20 on goal). High-danger chances mirrored the gap, finishing 6–3 in Pittsburgh's favor. On the rush, both teams found their spots (Pittsburgh 2 goals on 42 chances; Chicago 2 on 17), but Pittsburgh's control elsewhere suffocated Chicago into irrelevance.

Net-front play sealed it. Pittsburgh created 7 rebound opportunities, converting zero—a sign of suffocation, not sloppiness. Chicago answered with 4 rebound chances, also blank. Connor Bedard's wrist shot from the high slot was a spark, but by then, Pittsburgh's system had already decided the outcome.

A. Silovs (PIT) was efficient, not tested: 18/20 saves (0.900 SV%, +0.54 vs. expected). A. Soderblom (CHI) faced a deluge: 39/45 saves (0.867 SV%), respectable only by blowout standards.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CHI0 / 3 · 0.62 xG
PIT1 / 6 · 1.23 xG
Medium dangermid-range
CHI1 / 13 · 1.45 xG
PIT5 / 32 · 3.78 xG
Low dangerperimeter & point
CHI1 / 29 · 0.47 xG
PIT0 / 46 · 0.80 xG

PIT went 5-for-32 from medium danger on 3.78 expected goals — 1.2 above expected.

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

Finishing vs expected

expectedactual
CHI
2 G · 2.54 xG · -0.5
PIT
6 G · 5.81 xG · +0.2
01234567
Goalies · GSAx (goals saved above expected)
A. SoderblomCHI
-0.2
A. SilovsPIT
+0.5

CHI finished -0.5 against expected, PIT +0.2 — A. Silovs (PIT) saved 0.5 goals above expected.

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

Shot diet

goalsshots
CHI
WRIST2/23
TIP IN0/4
SLAP0/2
BACKHAND0/0
SNAP0/2
DEFLECTED0/0
OTHER0/14
PIT
WRIST4/36
TIP IN0/9
SLAP1/10
BACKHAND1/7
SNAP0/3
DEFLECTED0/1
OTHER0/18
CHI
PIT
Off the rush
2 G on 17 · 1.25 xG
2 G on 42 · 3.37 xG
Off rebounds
0 G on 4 · 0.56 xG
0 G on 7 · 1.12 xG

Wrist shots carried the volume: CHI went 2-for-23, PIT 4-for-36. CHI scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. Mantha
#39 · R · PIT
1 G · 2 A · 3 SOG · 13:27 TOI · +3
R. Shea
#5 · D · PIT
1 G · 1 A · 3 SOG · 17:51 TOI · +3
F. Nazar
#91 · C · CHI
0 G · 2 A · 1 SOG · 17:38 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • PIT was lethal off the rush — 2 goals on 42 rush chances.
  • CHI was lethal off the rush — 2 goals on 17 rush chances.
  • PIT created 7 rebound opportunities (0 converted) — crashing the net effectively.
  • CHI created 4 rebound opportunities (0 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · CHI at PIT · 7:00 PM ET

The Penguins are the model's lean over the Blackhawks on the rest edge

By the ModelJul 12, 3:12 AMEdited for clarity
Win probability

The model's lean

60%
PIT
Model favorite
40%
60%
CHI50PIT

PIT by 20 points of win probability — a clear lean. Projected score CHI 2.42.9 PIT; 17% 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 →PIT
42.0%5v5 xG%51.0%
46.0%Corsi%50.0%
2.17xGF / 602.66
2.94xGA / 602.55
1.84Goals for / gm2.45
2.41Goals against / gm2.12
0.996PDO — luck, not skill1.012

PIT holds 6 of 6 process categories — and PDO (0.996 vs 1.012) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

The model favors Pittsburgh cleanly: Chicago is projected at 2.4 expected goals, the Penguins at 2.9, translating to 60% win probability for Pittsburgh. This isn't mathematical fortune — it rests on three concrete edges.

First, Pittsburgh commands the underlying play. The Penguins generate 51.0% of 5v5 expected goals to Chicago's 42.0%, a nine-point gap that aligns with possession metrics: 50.0% Corsi to the Blackhawks' 46.0%. Recent form confirms this dominance. Pittsburgh has run 6-2-2 in their last ten. Chicago has deteriorated sharply, posting -12 goal differential over the same stretch.

Second, there's the rest asymmetry. The Penguins arrive on four days between games; the Blackhawks on one. That gap accumulates across sixty minutes.

Third, goaltending introduces slippage. S. Knight lands on a back-to-back, creating real ambiguity about whether Pittsburgh faces a tired starter or a cold backup. A fatigued goalie or an unpracticed reserve shifts the leverage further toward the Penguins.

Where does Chicago press back? Its offensive signatures remain intact. Tyler Bertuzzi sustains 0.85 expected goals per sixty and has built 20 goals on an 18.0% shooting rate, with 7 of those in the high-danger zone. Connor Bedard carries 0.82 xG/60 with 17 goals, 27 assists, and an 11.8% shooting rate — a clip that can ignite overnight. The Blackhawks manufacture offense, just not volume. Their season PDO sits at 0.996, below neutral, meaning regression has worked against them. Pittsburgh's PDO stands at 1.012, running hot by the same measure.

The Penguins counter with efficiency and structure. Rickard Rakell generates 1.01 xG/60 while posting 13 goals and 13 assists on a 12.1% shooting rate. Filip Hallander carries the highest danger-volume signature at 1.28 xG/60, though he remains unavailable, sidelined for further evaluation after his recall from his conditioning loan.

Pittsburgh need not be brilliant. Competent play, average goaltending, and territorial control will suffice to execute the model's edge. Chicago requires positive variance, a rested opener, and transition efficiency. The model's calculation mirrors these probabilities: Pittsburgh favored substantially, but neither team eliminated by the numbers.

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
PIT
Filip Hallander0G 3A
1.28 xG/60 · 0 HD · 0.0% sh
Rickard Rakell13G 13A
1.01 xG/60 · 3 HD · 12.1% sh
Source · MoneyPuck skaters