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

Penguins run the Canucks off the ice on the underlying numbers

The verdict · earned

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

VAN 1 · PIT 5
◆ By the ModelJul 11, 12:32 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

The Penguins' 5-1 rout looks understated compared to what the underlying metrics reveal. Pittsburgh controlled 13 high-danger chances to Vancouver's 3, a margin that dwarfs the final tally. At 5v5, the Penguins' expected goals crushed Vancouver's 5.20 to 3.24—a 62-38% split that was never in doubt.

The shot attempts told a different story. Pittsburgh took 26, Vancouver 24, a near-even split that masked deeper control. But volume doesn't matter when Penguins' chances averaged 0.080 expected goals per shot versus the Canucks' 0.047. Quality overwhelmed quantity.

Vancouver wasted what chances they generated. K. Lankinen finished with a 0.808 save percentage, stopping just 21 of 26 shots. More damning: the Canucks underperformed their expected goals by 2.24, squandering high-danger looks at a 92% clip against Lankinen's own glove. A. Silovs proved the answer, stopping 23 of 24 for a 0.958 save percentage—2.24 goals above expected. He stole a blowout that the underlying numbers had already scripted.

Pittsburgh was lethal at the margins. They converted two goals from low-danger spots, the kind of finishing that separates dominance from catastrophe. Their rush attack produced 2 goals on 25 chances. Vancouver generated four rebound opportunities and converted none; Pittsburgh created five and buried one.

J. Brazeau struck with a wrist shot from the high slot at 5:56 of the third period, opening the rout. Brazeau finished with 1G, 2A in just 11:50. K. Letang added two assists, while A. Mantha posted 1G, 1A. Pittsburgh's supporting cast delivered in full.

This wasn't a scoreline that flattered Pittsburgh. The underlying numbers revealed an even more total dominance.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Oct 21
VAN
1
PIT
5

Penguins run the Canucks off the ice on the underlying numbers

Chances 3.2 – 5.2Did they deserve it? →
Did they deserve it?

The Penguins earned this one.

Expected goals · chance value
VAN
3.24
PIT
5.20
38% of the chances62%

The board read VAN 1, PIT 5. The chances read VAN 3.2, PIT 5.2.

Our xG model · NHL play-by-play · all situations
Luck check
PIT
−0.2
goals above expected
PIT5.20 expected · 5 scored
Expected
Scored
VAN3.24 expected · 1 scored
Expected
Scored

The Canucks left 2.2 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 01:18VANC. Garland1–0
  2. P1 11:39PITC. Dewar1–1
  3. P2 14:21PITT. NovakPP1–2
  4. P2 16:18PITS. Crosby1–3
  5. P2 17:29PITA. Mantha1–4
  6. P3 05:56PITJ. BrazeauPP1–5
NHL play-by-play · chance value from our xG model
Where the shots came from
VAN
49 shots
1
Final
91 shots
PIT
42 shots
5
VAN attackPIT attack
VAN PIT Goal
49
shots · 1 in
42
shots · 5 in
Every unblocked shot · press play to replay it
Chances by danger
VANPIT
0 / 3
0.82 xG
High danger
1 / 13
3.47 xG
0 / 12
1.52 xG
Medium
2 / 13
1.31 xG
1 / 54
0.91 xG
Low
2 / 39
0.42 xG

The Canucks went 0 for 3 from the slot.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A
A. Silovs
+2.2
PIT · 23/24
C
K. Lankinen
+0.2
VAN · 21/26
The numbers, checked
BACKCHECK

Penguins run the Canucks 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 11–6
  1. 01:18VANC. Garland(E. Pettersson, F. Hronek)1–0
  2. 11:39PITC. Dewar(P. Wotherspoon, N. Acciari)1–1
2ndshots 3–14
  1. 14:21PITT. Novakpower play(K. Letang, J. Brazeau)1–2
  2. 16:18PITS. Crosby(R. Rakell)1–3
  3. 17:29PITA. Mantha(E. Malkin, J. Brazeau)1–4
3rdshots 10–6
  1. 05:56PITJ. Brazeaupower play(A. Mantha, K. Letang)1–5

score reads VAN–PIT

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

The numbers

XGBoost xG · NHL play-by-play
5.20
PIT chances
Goals their shots were worth
−0.2
Finishing
Goals below what those chances were worth
1.062
PIT puck luck
Above 1.000 — the bounces went their way
48.5%
Shot attempts
Under half — they were outshot
Split by club

Who controlled the game

3.24Expected goals5.20
PIT 62% of the chance quality
24Shots on goal26
3High-danger chances13
69All attempts (Corsi)65
Adjusted for score: VAN 54% · PIT 46%
Faceoffs · PIT won70%off67%neu65%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
VAN0 / 3 · 0.82 xG
PIT1 / 13 · 3.47 xG
Medium dangermid-range
VAN0 / 12 · 1.52 xG
PIT2 / 13 · 1.31 xG
Low dangerperimeter & point
VAN1 / 54 · 0.91 xG
PIT2 / 39 · 0.42 xG

PIT went 1-for-13 from high danger on 3.47 expected goals — 2.5 left on the table.

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

Finishing vs expected

expectedactual
VAN
1 G · 3.24 xG · -2.2
PIT
5 G · 5.20 xG · -0.2
0123456

VAN finished -2.2 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
VAN
WRIST0/31
TIP IN0/4
SNAP0/4
SLAP1/7
BACKHAND0/3
OTHER0/20
PIT
WRIST4/26
TIP IN1/9
SNAP0/4
SLAP0/0
BACKHAND0/3
OTHER0/23
VAN
PIT
Off the rush
1 G on 28
2.18 xG
2 G on 25
3.46 xG
Off rebounds
0 G on 4
0.40 xG
1 G on 5
1.07 xG

Wrist shots carried the volume: VAN went 0-for-31, PIT 4-for-26. PIT 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
K. Lankinen
VAN · 21/26 · .808
+0.2
saved above expected
C
the night
By dangerG/attxGsaved
High danger1/133.5+2.5
Medium2/131.3-0.7
Low2/390.4-1.6

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

A. Silovs
PIT · 23/24 · .958
+2.2
saved above expected
A
the night
By dangerG/attxGsaved
High danger0/30.8+0.8
Medium0/121.5+1.5
Low1/540.9-0.1

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

91 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
VAN
49 shots
1
Final
91 shots
PIT
42 shots
5
VAN attackPIT attack
VAN PIT Goal

Each club shoots toward its own end — VAN 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
J. Brazeau
#16 · R · PIT
1 G · 2 A · 2 SOG · 11:50 on ice · +1
K. Letang
#58 · D · PIT
0 G · 2 A · 2 SOG · 17:02 on ice
A. Mantha
#39 · R · PIT
1 G · 1 A · 2 SOG · 13:33 on ice · +1
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Tue, Oct 21
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 11, 12:31 PMEdited 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 projection: Pittsburgh 58% to win, with a median final score of 2.9 to 2.4. The case rests entirely on structural dominance—the Penguins control both quality and territory.

Pittsburgh owns a 51.0% 5v5 expected-goals share against Vancouver's 44.0%, the kind of shot-quality gap that usually finds the scoreline. They're also winning possession at 50.0% Corsi, meaning more time in the attacking zone and fewer defensive scrambles. This isn't luck; it's territorial control.

The secondary edge belongs to Vancouver's regressing fortune. The Canucks' PDO sits at 0.974—measuring the ratio of goals scored to shots and conceded goals to shots faced—meaning they're scoring below model expectation while bleeding more than their underlying play should allow. That ratio normalizes. Pittsburgh's 1.012 PDO suggests they've run hot, but the underlying 51.0% xG affords them room to regress without collapsing.

Rickard Rakell anchors Pittsburgh's attack at 1.01 expected goals per 60 minutes, with 13 goals and 13 assists on 12.1% shooting. Filip Hallander, who generates 1.28 xG/60, is out for further evaluation. Rakell isn't flashy, but his volume and conversion describe a player operating within an efficient system.

Vancouver's depth splits between two engines. Filip Chytil generates 1.03 xG/60 with 3 goals and 0 assists despite a 15.0% shooting rate—a mismatch suggesting either variance or deployment away from high-danger looks. Drew O'Connor has accumulated 13 goals and 11 assists at 0.85 xG/60, meaning his goal total is genuine—he's shooting 11.8%—yet the underlying play doesn't justify the assist volume. His linemates are finishing.

Neither team generates high-danger or rebound goals at any measurable rate. Vancouver's 0% HD goal rate and 0% rebound-goal rate signal scoring arrives from mid-range, not the crease. Pittsburgh shares this deficit. That invites variance—a power-play surge or goaltending spike from either side could alter the script.

Defensively, Pittsburgh's Caleb Jones and Vancouver's Victor Mancini flag as weak links, but territorial advantage—the Penguins' core edge—neutralizes matchup quality. Pittsburgh's structural lead and the Canucks' pending PDO regression should hold even if this game tightens closer than 58% implies.

What the model said beforehand

The model's lean

PIT 58%
58%
PIT
Model favorite
42%
58%
VAN50PIT

PIT by 16 points of win probability — a clear lean. Projected score VAN 2.4–2.9 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
VAN← edge
edge →PIT
44.0%51.0%
46.0%50.0%
2.222.66
2.812.55
1.602.45
2.562.12
0.9741.012

PIT holds 6 of 6 process categories — and the luck row (0.974 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
VAN
7-3-0
+12 GD · 2d rest
PIT
8-2-0
+10 GD · 2d rest
0.974
VAN PDO
Luck gauge · drifts to 1.000
1.012
PIT PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Where the edges live
  • The Penguins own the underlying play — 51.0% 5v5 xG vs 44.0%.
  • The Penguins drive Corsi at 50.0% — expect territorial tilt.
Regression watch
  • The Canucks' PDO is 0.974 — running cold, due for positive regression.
Things to watch
  • The Penguins own the underlying play — 51.0% 5v5 xG vs 44.0%.
  • The Penguins drive Corsi at 50.0% — expect territorial tilt.
  • The Canucks' PDO is 0.974 — running cold, due for positive regression.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
VAN
Expected in goal
T. Demko
2 days rest.903 last start
Backup Kevin Lankinen · -19.3 GSAx this season

No completed game on file for this club yet.

PIT
Expected in goal
T. Jarry
2 days rest1.000 last start
Backup Stuart Skinner · +8.3 GSAx this season

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
VAN
Filip Chytil3G 0A
1.03 xG/60 · 1 HD · 15.0% sh
Drew O'Connor13G 11A
0.85 xG/60 · 3 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
Keep going

Where to next