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

Penguins run the Rangers off the ice on the underlying numbers

The verdict · earned

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

NYR 5 · PIT 6
◆ By the ModelJul 12, 3:25 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 Penguins won 6-5, but the underlying numbers suggest they should have won by more. The Rangers overperformed their expected goals by 2.05, converting chances the math didn't expect them to make.

That's the real story here: Pittsburgh controlled what happened. They held 66% of expected goals (5.70–2.95), 63% of shot attempts (34–20 on goal), and generated lethal rush chances—2 goals off 35 attempts. New York matched that rush efficiency (4 goals on 19 chances) and capitalized on high-danger finishes (3 of 7, 43%), but they shouldn't have been in position to do it.

S. Skinner underperformed by 2.05 goals, allowing 5 when his workload and positioning suggested he should have faced just 2.95 in expected danger. J. Quick made 28 of 33 saves (0.848 SV%, +0.70 vs expected), playing well enough to keep New York in a game Pittsburgh was winning.

Pittsburgh dominated the underlying play. New York got hot when it mattered—especially on the power play (2 goals on 6 shots, 0.72 xG)—and made the scoreboard look tighter than the tape would suggest.

High-danger chances finished tied at 7–7, and Pittsburgh crashed the net effectively, converting 2 of 4 rebound opportunities. But volume tells the real story: the Penguins' 5.70 expected goals against the Rangers' 2.95 is a dominance that a one-goal final doesn't capture.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Jan 31
NYR
5
PIT
6

Penguins run the Rangers off the ice on the underlying numbers

Chances 3.0 – 5.7Did they deserve it? →
Did they deserve it?

The Penguins earned this one.

Expected goals · chance value
NYR
2.95
PIT
5.70
34% of the chances66%

The board read NYR 5, PIT 6. The chances read NYR 3.0, PIT 5.7.

Our xG model · NHL play-by-play · all situations
Luck check
PIT
+0.3
goals above expected
PIT5.70 expected · 6 scored
Expected
Scored
NYR2.95 expected · 5 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 02:37PITA. Mantha0–1
  2. P1 06:05PITN. Acciari0–2
  3. P2 12:59PITA. Mantha0–3
  4. P2 18:28NYRA. LafrenièrePP1–3
  5. P3 01:20PITR. RakellPP1–4
  6. P3 01:40PITN. Acciari1–5
  7. P3 09:12NYRV. TrocheckSH2–5
+4 more on the full breakdown
NHL play-by-play · chance value from our xG model
Where the shots came from
NYR
30 shots
5
Final
86 shots
PIT
56 shots
6
NYR attackPIT attack
NYR PIT Goal
30
shots · 5 in
56
shots · 6 in
Every unblocked shot · press play to replay it
Chances by danger
NYRPIT
3 / 7
1.79 xG
High danger
1 / 7
2.39 xG
2 / 7
0.70 xG
Medium
4 / 24
2.57 xG
0 / 30
0.46 xG
Low
1 / 37
0.74 xG

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

Danger tiers by our xG model · high ≥ 20% chance
In the net
B
J. Quick
+0.7
NYR · 28/33
F
S. Skinner
−2.0
PIT · 15/20
The numbers, checked
BACKCHECK

Penguins run the Rangers 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 9–11
  1. 02:37PITA. Mantha(R. McGroarty)0–1
  2. 06:05PITN. Acciari(B. Lizotte, C. Dewar)0–2
2ndshots 2–10
  1. 12:59PITA. Mantha(R. Rakell, E. Malkin)0–3
  2. 18:28NYRA. Lafrenièrepower play(J. Miller, M. Zibanejad)1–3
3rdshots 9–13
  1. 01:20PITR. Rakellpower play(S. Crosby, E. Karlsson)1–4
  2. 01:40PITN. Acciari(B. Lizotte, B. Kulak)1–5
  3. 09:12NYRV. Trocheckshorthanded(V. Gavrikov)2–5
  4. 15:15NYRV. Gavrikov(B. Schneider, J. Brodzinski)3–5
  5. 17:28PITB. Kindelempty net(C. Dewar, S. Skinner)3–6
  6. 18:53NYRA. Lafrenière(V. Trocheck, M. Robertson)4–6
  7. 19:49NYRW. Cuyllepower play(V. Trocheck, A. Lafrenière)5–6

score reads NYR–PIT

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

The numbers

XGBoost xG · NHL play-by-play
5.70
PIT chances
Goals their shots were worth
+0.3
Finishing
Goals above what those chances were worth
0.975
PIT puck luck
Below 1.000 — the bounces went against them
60.7%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

2.95Expected goals5.70
PIT 66% of the chance quality
20Shots on goal34
7High-danger chances7
44All attempts (Corsi)68
Adjusted for score: NYR 46% · PIT 54%
Faceoffs · PIT won50%off35%neu33%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
NYR3 / 7 · 1.79 xG
PIT1 / 7 · 2.39 xG
Medium dangermid-range
NYR2 / 7 · 0.70 xG
PIT4 / 24 · 2.57 xG
Low dangerperimeter & point
NYR0 / 30 · 0.46 xG
PIT1 / 37 · 0.74 xG

PIT went 4-for-24 from medium danger on 2.57 expected goals — 1.4 above expected.

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

Finishing vs expected

expectedactual
NYR
5 G · 2.95 xG · +2.0
PIT
6 G · 5.70 xG · +0.3
01234567

NYR finished +2.0 against expected, PIT +0.3.

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

Shot diet

goalsshots
NYR
WRIST4/20
SLAP1/4
SNAP0/4
TIP IN0/1
BACKHAND0/0
DEFLECTED0/1
OTHER0/14
PIT
WRIST4/34
SLAP0/7
SNAP1/4
TIP IN1/7
BACKHAND0/4
DEFLECTED0/0
OTHER0/12
NYR
PIT
Off the rush
4 G on 19
2.22 xG
2 G on 35
3.18 xG
Off rebounds
1 G on 1
0.28 xG
2 G on 4
0.61 xG

Wrist shots carried the volume: NYR went 4-for-20, PIT 4-for-34. NYR 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. Quick
NYR · 28/33 · .848
+0.7
saved above expected
B
the night
By dangerG/attxGsaved
High danger1/72.4+1.4
Medium4/242.6-1.4
Low1/370.7-0.3

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 · 15/20 · .750
-2.0
saved above expected
F
the night
By dangerG/attxGsaved
High danger3/71.8-1.2
Medium2/70.7-1.3
Low0/300.5+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

86 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
NYR
30 shots
5
Final
86 shots
PIT
56 shots
6
NYR attackPIT attack
NYR PIT Goal

Each club shoots toward its own end — NYR 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
V. Trocheck
#16 · C · NYR
1 G · 2 A · 1 SOG · 22:40 on ice · +3
A. Lafrenière
#13 · L · NYR
2 G · 1 A · 4 SOG · 17:59 on ice · +1
V. Gavrikov
#44 · D · NYR
1 G · 1 A · 1 SOG · 22:29 on ice · +2
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Sat, Jan 31
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 12, 3:23 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

The models project a 2.4-2.7 goal gap with Pittsburgh at 55% win probability. This is about as close to a coin flip as playoff hockey gets.

Pittsburgh has emerged as the hotter team by a significant margin. The Penguins have gone 6-2-2 in their last ten games, while New York sits at -19 goal differential over that same stretch. That divergence between wins and actual goal margin is the tell: Pittsburgh is executing and getting results, New York is leaking goals despite competitive play.

The underlying data reinforces Pittsburgh's edge. At 5v5, the Penguins generate 51.0% expected goals compared to 48.0% for the Rangers—a real advantage in play creation, not statistical noise. Corsi% mirrors this: 50.0% Pittsburgh, 49.0% New York. Both teams' PDO (Pittsburgh 1.012, New York 1.009) is slightly inflated, indicating neither is riding an unsustainable luck advantage.

Goaltending introduces genuine uncertainty. Both A. Silovs and J. Quick are on back-to-backs, which means either team could get a tired starter or see a backup enter the game. In matchups this tight, goaltending variance can be decisive.

Rickard Rakell has been Pittsburgh's primary engine at 1.01 xG/60, sitting at 13 goals and 13 assists with 3 high-danger conversions. Filip Hallander, who leads the Penguins at 1.28 xG/60, is out undergoing further evaluation after his conditioning loan.

For New York, Adam Sykora is generating 0.91 xG/60 at 3 goals and 1 assist on a 20.0% shooting rate—unsustainably high, so regression is inevitable. Gabe Perreault (0.79 xG/60, 8 goals, 11 assists, 2 high-danger goals at 13.1% shooting) offers secondary scoring.

Both teams are generating zero high-danger goals and zero rebound goals, a sign that neither is creating clean scoring chances or converting second opportunities efficiently. Vincent Iorio is New York's primary defensive weakness, while Caleb Jones fills that role for Pittsburgh. When top-line scorers are running hot and depth isn't delivering, margins become razor-thin. Execution trumps talent.

The 55% win probability is Pittsburgh's to defend, but only marginally.

What the model said beforehand

The model's lean

PIT 55%
54%
PIT
Model favorite
46%
54%
NYR50PIT

PIT by 8 points of win probability — a modest lean. Projected score NYR 2.4–2.7 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
NYR← edge
edge →PIT
48.0%51.0%
49.0%50.0%
2.262.66
2.402.55
1.882.45
1.902.12
1.0091.012

PIT holds 4 of 6 process categories — and the luck row (1.009 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
NYR
2-8-0
-19 GD · 1d rest
PIT
6-2-2
+14 GD · 1d rest
1.009
NYR 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 48.0%.
Things to watch
  • The Penguins own the underlying play — 51.0% 5v5 xG vs 48.0%.
  • A. Silovs is on a back-to-back — watch for a backup start or a tired starter.
  • J. Quick is on a back-to-back — watch for a backup start or a tired starter.
  • The Penguins are the hotter team by points pace (6-2-2 in their last 10).
  • The Rangers are underwater at -19 goal differential over their last 10.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
NYR
Expected in goal
J. Quick
back-to-back.905 last start
Backup Igor Shesterkin · +21.3 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.

PIT
Expected in goal
A. Silovs
back-to-back.900 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
NYR
Adam Sykora3G 1A
0.91 xG/60 · 0 HD · 20.0% sh
Gabe Perreault8G 11A
0.79 xG/60 · 2 HD · 13.1% 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
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