Motion-blurred skater in a Pittsburgh Penguins sweater
Breakdown · DET at PIT

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

The verdict · earned

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

DET 1 · PIT 5
◆ By the ModelJul 12, 9:46 AMxG: 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

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.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Mar 31
DET
1
PIT
5

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

Chances 3.1 – 4.8Did they deserve it? →
Did they deserve it?

The Penguins earned this one.

Expected goals · chance value
DET
3.08
PIT
4.83
39% of the chances61%

The board read DET 1, PIT 5. The chances read DET 3.1, PIT 4.8.

Our xG model · NHL play-by-play · all situations
Luck check
PIT
+0.2
goals above expected
PIT4.83 expected · 5 scored
Expected
Scored
DET3.08 expected · 1 scored
Expected
Scored

The Red Wings left 2.1 goals on the table against what their chances were worth.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 04:10PITR. Rakell0–1
  2. P1 08:34PITA. Mantha0–2
  3. P1 18:02PITE. Chinakhov0–3
  4. P2 03:17DETD. LarkinPP1–3
  5. P2 12:23PITJ. Brazeau1–4
  6. P3 12:09PITN. Acciari1–5
NHL play-by-play · chance value from our xG model
Where the shots came from
DET
42 shots
1
Final
95 shots
PIT
53 shots
5
DET attackPIT attack
DET PIT Goal
42
shots · 1 in
53
shots · 5 in
Every unblocked shot · press play to replay it
Chances by danger
DETPIT
1 / 3
0.68 xG
High danger
1 / 7
1.60 xG
0 / 15
1.67 xG
Medium
1 / 21
2.46 xG
0 / 39
0.73 xG
Low
3 / 38
0.77 xG

High-danger looks: DET 1 of 3, PIT 1 of 7.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A+
C. Talbot
+2.8
DET · 16/18
A
S. Skinner
+2.1
PIT · 22/23
+1 more on the full breakdown
The numbers, checked
BACKCHECK

Penguins run the Red Wings 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 / 08 · Final
Every goal, in order

How it happened

NHL play-by-play
1stshots 6–14
  1. 04:10PITR. Rakell(S. Crosby, E. Chinakhov)0–1
  2. 08:34PITA. Mantha(E. Malkin, C. Dewar)0–2
  3. 18:02PITE. Chinakhov(K. Letang)0–3
2ndshots 9–9
  1. 03:17DETD. Larkinpower play(P. Kane)1–3
  2. 12:23PITJ. Brazeau(C. Clifton)1–4
3rdshots 8–9
  1. 12:09PITN. Acciari(R. Shea, E. Soderblom)1–5

score reads DET–PIT

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

The numbers

XGBoost xG · NHL play-by-play
4.83
PIT chances
Goals their shots were worth
+0.2
Finishing
Goals above what those chances were worth
1.058
PIT puck luck
Above 1.000 — the bounces went their way
53.7%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

3.08Expected goals4.83
PIT 61% of the chance quality
23Shots on goal32
3High-danger chances7
57All attempts (Corsi)66
Adjusted for score: DET 53% · PIT 47%
Faceoffs · PIT won46%off38%neu57%def
Source · NHL play-by-play · XGBoost xG
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

DET finished -2.1 against expected, PIT +0.2.

Source · Backcheck xG model
Shot types · rush and rebound chancesopen +
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
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
J. Gibson
DET · 11/14 · .786
+1.8
saved above expected
A
the night
By dangerG/attxGsaved
High danger1/71.6+0.6
Medium1/212.5+1.5
Low3/380.8-2.2

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

C. Talbot
DET · 16/18 · .889
+2.8
saved above expected
A+
the night
By dangerG/attxGsaved
High danger1/71.6+0.6
Medium1/212.5+1.5
Low3/380.8-2.2

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

S. Skinner
PIT · 22/23 · .957
+2.1
saved above expected
A
the night
By dangerG/attxGsaved
High danger1/30.7-0.3
Medium0/151.7+1.7
Low0/390.7+0.7

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

95 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
DET
42 shots
1
Final
95 shots
PIT
53 shots
5
DET attackPIT attack
DET PIT Goal

Each club shoots toward its own end — DET left, PIT right — the way you would watch it. A dot's size is how dangerous the look was, from distance and angle; it is a proxy for shot quality, not the xG model the article is written from. Hover a dot for the shooter and the clock.

Ranked from the box score

Three stars

Points first
Three stars · computed, not voted
E. Chinakhov
#59 · R · PIT
1 G · 1 A · 1 SOG · 17:05 on ice · +2
K. Letang
#58 · D · PIT
0 G · 1 A · 0 SOG · 19:19 on ice · +1
S. Crosby
#87 · C · PIT
0 G · 1 A · 1 SOG · 18:10 on ice · +1
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Tue, Mar 31
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 12, 9:45 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

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.

What the model said beforehand

The model's lean

PIT 54%
54%
PIT
Model favorite
46%
54%
DET50PIT

PIT by 8 points of win probability — a modest lean. Projected score DET 2.5–2.7 PIT; 18% 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
DET← edge
edge →PIT
49.0%51.0%
49.0%50.0%
2.382.66
2.502.55
1.732.45
2.072.12
0.9851.012

PIT holds 4 of 6 process categories — and the luck row (0.985 vs 1.012) says PIT has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · Last 10
DET
4-5-1
+1 GD · 2d rest
PIT
5-4-1
-3 GD · 1d rest
0.985
DET PDO
Luck gauge · drifts to 1.000
1.012
PIT PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Things to watch
  • A. Silovs is on a back-to-back — watch for a backup start or a tired starter.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
DET
Expected in goal
J. Gibson
2 days rest.810 last start
Backup John Gibson · +11.7 GSAx this season

No completed game on file for this club yet.

PIT
Expected in goal
A. Silovs
back-to-back.870 last start
Backup Stuart Skinner · +8.3 GSAx this season
Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

No completed game on file for this club yet.

Lineups are the players who dressed in each club's last game, with their minutes; clubs confirm tonight's at warm-up. Every player this preview names was in that lineup.

Computed danger · scouting

Players to watch

NHL stats API · our xG
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
Keep going

Where to next