Backcheck
Recap · DET at PIT

Penguins run the Red Wings off the ice on the underlying numbers

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

By the ModelJul 12, 9:46 AMxG: xgboost-0.758Edited for clarity
Away
DET
Detroit Red Wings
1
Home
PIT
Pittsburgh Penguins
5
FINAL
Process vs result

The underlying story

3.08Expected goals4.83
61% share for the better side
23Shot attempts (SOG)32
3High-danger chances7
57Corsi (all attempts)66
Score-adjusted: 53% / 47%
Source · NHL play-by-play · XGBoost xG

The Red Wings generated legitimate scoring chances but couldn't convert them—they underperformed their 3.08 expected goals by 2.08, finishing with just one. This mismatch explains why the 5-1 final score looks more lopsided than Detroit's underlying play warranted.

Pittsburgh didn't just get lucky. They dominated 5v5 expected goals 4.83 to 3.08 (61% to 39%), and controlled the shot attempts 32 to 23 (58%). The Penguins generated far more dangerous chances—0.073 expected goals per shot versus Detroit's 0.054. They scored three goals from low-danger spots and four on rush chances off 35 attempts.

Noel Acciari's wrist shot from the doorstep at 12:09 of the third period proved to be the turning point.

S. Skinner carried Pittsburgh's dominance into goal, stopping 22 of 23 shots for a 0.957 save percentage—2.08 goals better than expected. The Red Wings got little help from their own net. J. Gibson finished at 0.786 SV% (11 of 14), performing 0.89 goals worse than expected, while C. Talbot posted 0.889 SV% (16 of 18), 0.72 above expected.

Pittsburgh's efficiency was the decisive factor: more chances, better quality, and execution when it mattered.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
DET1 / 3 · 0.68 xG
PIT1 / 7 · 1.60 xG
Medium dangermid-range
DET0 / 15 · 1.67 xG
PIT1 / 21 · 2.46 xG
Low dangerperimeter & point
DET0 / 39 · 0.73 xG
PIT3 / 38 · 0.77 xG

PIT went 3-for-38 from low danger on 0.77 expected goals — 2.2 above expected.

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

Finishing vs expected

expectedactual
DET
1 G · 3.08 xG · -2.1
PIT
5 G · 4.83 xG · +0.2
0123456
Goalies · GSAx (goals saved above expected)
J. GibsonDET
-0.9
C. TalbotDET
+0.7
S. SkinnerPIT
+2.1

DET finished -2.1 against expected, PIT +0.2 — S. Skinner (PIT) saved 2.1 goals above expected.

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

Shot diet

goalsshots
DET
WRIST1/25
TIP IN0/6
SLAP0/4
SNAP0/3
BACKHAND0/3
POKE0/1
OTHER0/15
PIT
WRIST4/28
TIP IN1/11
SLAP0/7
SNAP0/4
BACKHAND0/3
POKE0/0
OTHER0/13
DET
PIT
Off the rush
0 G on 23 · 1.81 xG
4 G on 35 · 3.31 xG
Off rebounds
1 G on 5 · 0.75 xG
0 G on 1 · 0.20 xG

Wrist shots carried the volume: DET went 1-for-25, PIT 4-for-28. PIT scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
E. Chinakhov
#59 · R · PIT
1 G · 1 A · 1 SOG · 17:05 TOI · +2
K. Letang
#58 · D · PIT
0 G · 1 A · 0 SOG · 19:19 TOI · +1
S. Crosby
#87 · C · PIT
0 G · 1 A · 1 SOG · 18:10 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • S. Skinner (PIT) stopped 2.1 goals above expected.
  • PIT generated far more dangerous chances — 0.073 xG/shot vs 0.054. Quality over quantity.
  • PIT scored 3 goals from low-danger spots — the opposing goalie needs to have those.
  • PIT was lethal off the rush — 4 goals on 35 rush chances.
  • DET created 5 rebound opportunities (1 converted) — crashing the net effectively.
  • DET underperformed xG by 2.1 — wasted quality chances.
  • J. Gibson (DET) saved 1.8 goals above expected — stole the show.
  • C. Talbot (DET) saved 2.8 goals above expected — stole the show.
  • S. Skinner (PIT) saved 2.1 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · DET at PIT · 7:00 PM ET

Red Wings at Penguins: a genuine coin flip

By the ModelJul 12, 9:45 AMEdited for clarity
Win probability

The model's lean

54%
PIT
Model favorite
46%
54%
DET50PIT

PIT by 8 points of win probability — a modest lean. Projected score DET 2.52.7 PIT; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season profile · edge from the spine

Tale of the tape

DET← edge
edge →PIT
49.0%5v5 xG%51.0%
49.0%Corsi%50.0%
2.38xGF / 602.66
2.50xGA / 602.55
1.73Goals for / gm2.45
2.07Goals against / gm2.12
0.985PDO — luck, not skill1.012

PIT holds 4 of 6 process categories — and PDO (0.985 vs 1.012) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

Pittsburgh enters with a 54% win probability—the model projects a 2.5-to-2.7-goal scoring band that doesn't favor either team. In practical terms: coin flip.

The Penguins' edge is marginal but real. They lead in expected goals at 5v5 (51.0% to 49.0%) and Corsi% (50.0% to 49.0%), suggesting they generate slightly more quality chances and control the puck more often. Detroit's PDO of 0.985 indicates their shooting and goaltending luck have trended downward; Pittsburgh's 1.012 suggests the opposite. Both are subtle, but these gaps compound.

A. Silovs takes the back-to-back for Detroit—worth monitoring whether Detroit opts for a backup start or pushes a fatigued starter.

Pittsburgh's forward depth is anchored by Rickard Rakell, who carries 1.01 xG/60 with 13 goals and a 12.1% shooting rate. He's converting chances at an elite clip. Detroit counters with Alex DeBrincat (0.88 xG/60, 17 goals, 28 assists), whose 9.0% shooting suggests room to regress; don't expect him to maintain that efficiency. Marco Kasper projects 0.81 xG/60 and has earned 7 goals despite a 6.1% shooting rate—he's due for positive variance.

Filip Hallander remains unavailable, still undergoing further evaluation and testing after his recall from the AHL. His absence removes Pittsburgh's shot-creation engine at 1.28 xG/60, a meaningful loss if he's sidelined.

On defense, Axel Sandin-Pellikka represents Detroit's structural weakness; Caleb Jones is Pittsburgh's counterpart. Neither is a liability, but both are the likeliest targets for aggressive forecheck.

The edge to Pittsburgh is thin—a 4-percentage-point advantage in xG% and Corsi%, compounded by slightly better PDO fortune. Against a Detroit team with equal quality and equal desperation, that margin dissolves in 60 minutes.

Computed danger · scouting

Players to watch

DET
Alex DeBrincat17G 28A
0.88 xG/60 · 2 HD · 9.0% sh
Marco Kasper7G 8A
0.81 xG/60 · 1 HD · 6.1% 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