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

Penguins hold off the Kings

The verdict · earned

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

PIT 4 · LAK 2
◆ By the ModelJun 16, 2:54 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

Pittsburgh's 4-2 victory masked one of Los Angeles's strangest losses: the Kings held 55% of shot attempts (32-26) yet lost decisively. The expected goals told the real story—Pittsburgh controlled 56% at 5v5 (4.56–3.58), revealing the Penguins' superiority in chance quality.

The gap widened in high-danger areas. Pittsburgh created nine high-danger chances to Los Angeles's seven, and the Penguins converted at a higher rate—0.095 expected goals per shot versus LA's 0.059. This discrepancy explains why Pittsburgh's margin felt inevitable.

Los Angeles underperformed their expected goals by 1.58 goals, squandering their volume. The gap between their shot map and the scoreboard reflected execution failures and Pittsburgh's goaltending.

Andrei Silovs (30/32 saves, 0.938 SV%) recorded 1.58 goals saved above expected, stopping difficult looks when momentum mattered. Alexei Forsberg also performed above expected (22/25, 0.880 SV%, +1.56), but the volume and quality of high-danger chances Pittsburgh created proved too much.

Pittsburgh's rush game was lethal—they converted two goals on 23 rush chances, illustrating clinical execution in transition. Sidney Crosby's wrist shot from the wing at 19:29 of the third period was decisive.

Pittsburgh's rebound control extended their advantage: eight opportunities to Los Angeles's three.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Oct 16
PIT
4
LAK
2

Penguins hold off the Kings

Chances 4.6 – 3.6Did they deserve it? →
Did they deserve it?

The Penguins earned this one.

Expected goals · chance value
PIT
4.56
LAK
3.58
56% of the chances44%

The board read PIT 4, LAK 2. The chances read PIT 4.6, LAK 3.6.

Our xG model · NHL play-by-play · all situations
Luck check
PIT
−0.6
goals above expected
PIT4.56 expected · 4 scored
Expected
Scored
LAK3.58 expected · 2 scored
Expected
Scored

The Kings left 1.6 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 04:24LAKW. Foegele0–1
  2. P1 09:04LAKK. Fiala0–2
  3. P2 06:37PITE. MalkinPP1–2
  4. P2 07:18PITC. Dewar2–2
  5. P3 06:50PITF. HallanderSH3–2
  6. P3 19:29PITS. CrosbyEN4–2
NHL play-by-play · chance value from our xG model
Where the shots came from
PIT
38 shots
4
Final
82 shots
LAK
44 shots
2
PIT attackLAK attack
PIT LAK Goal
38
shots · 4 in
44
shots · 2 in
Every unblocked shot · press play to replay it
Chances by danger
PITLAK
3 / 9
2.31 xG
High danger
1 / 7
1.45 xG
1 / 16
1.96 xG
Medium
1 / 17
1.63 xG
0 / 23
0.29 xG
Low
0 / 37
0.50 xG

The Penguins buried 3 of 9 high-danger looks.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A
A. Silovs
+1.6
PIT · 30/32
A
A. Forsberg
+1.6
LAK · 22/25
The numbers, checked
BACKCHECK

Penguins hold off the Kings

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 8–11
  1. 04:24LAKW. Foegele(T. Moore, C. Ceci)0–1
  2. 09:04LAKK. Fiala(Q. Byfield, J. Armia)0–2
2ndshots 8–11
  1. 06:37PITE. Malkinpower play(B. Rust, E. Karlsson)1–2
  2. 07:18PITC. Dewar(N. Acciari, R. Shea)2–2
3rdshots 10–10
  1. 06:50PITF. Hallandershorthanded(R. Rakell, P. Wotherspoon)3–2
  2. 19:29PITS. Crosbyempty net(P. Wotherspoon, E. Karlsson)4–2

score reads PIT–LAK

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

The numbers

XGBoost xG · NHL play-by-play
4.56
PIT chances
Goals their shots were worth
−0.6
Finishing
Goals below what those chances were worth
1.050
PIT puck luck
Above 1.000 — the bounces went their way
44.0%
Shot attempts
Under half — they were outshot
Split by club

Who controlled the game

4.56Expected goals3.58
PIT 56% of the chance quality
26Shots on goal32
9High-danger chances7
48All attempts (Corsi)61
Adjusted for score: PIT 45% · LAK 55%
Faceoffs · LAK won50%off74%neu50%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
PIT3 / 9 · 2.31 xG
LAK1 / 7 · 1.45 xG
Medium dangermid-range
PIT1 / 16 · 1.96 xG
LAK1 / 17 · 1.63 xG
Low dangerperimeter & point
PIT0 / 23 · 0.29 xG
LAK0 / 37 · 0.50 xG

PIT went 1-for-16 from medium danger on 1.96 expected goals — 1.0 left on the table.

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

Finishing vs expected

expectedactual
PIT
4 G · 4.56 xG · -0.6
LAK
2 G · 3.58 xG · -1.6
012345

PIT finished -0.6 against expected, LAK -1.6.

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

Shot diet

goalsshots
PIT
WRIST2/22
TIP IN0/6
SNAP2/5
BACKHAND0/4
SLAP0/1
DEFLECTED0/0
OTHER0/10
LAK
WRIST1/25
TIP IN1/6
SNAP0/3
BACKHAND0/3
SLAP0/6
DEFLECTED0/1
OTHER0/17
PIT
LAK
Off the rush
2 G on 23
2.26 xG
1 G on 29
2.81 xG
Off rebounds
1 G on 8
1.72 xG
1 G on 3
0.41 xG

Wrist shots carried the volume: PIT went 2-for-22, LAK 1-for-25. 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
A. Silovs
PIT · 30/32 · .938
+1.6
saved above expected
A
the night
By dangerG/attxGsaved
High danger1/71.4+0.5
Medium1/171.6+0.6
Low0/370.5+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

A. Forsberg
LAK · 22/25 · .880
+1.6
saved above expected
A
the night
By dangerG/attxGsaved
High danger3/92.3-0.7
Medium1/162.0+1.0
Low0/230.3+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

82 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
PIT
38 shots
4
Final
82 shots
LAK
44 shots
2
PIT attackLAK attack
PIT LAK Goal

Each club shoots toward its own end — PIT left, LAK 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
P. Wotherspoon
#28 · D · —
0 G · 2 A · 1 SOG · 19:52 on ice · +2
E. Karlsson
#65 · D · —
0 G · 2 A · 1 SOG · 18:45 on ice · +1
R. Shea
#5 · D · —
0 G · 1 A · 0 SOG · 21:25 on ice
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Thu, Oct 16
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelSep 22, 3:41 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 model projects a 3.1–3.3 goal game with the Kings at 53% win probability—as close to a pick'em as you'll find. On paper, these teams are evenly matched at 5v5.

The shape of the game

Pittsburgh's offense runs through Filip Hallander, who leads at 1.28 xG/60 with 3 assists. Los Angeles counters with Alex Laferriere at 0.87 xG/60, but he's converted 16 goals, far outpacing his underlying shot quality. Rickard Rakell (13G, 12.1% shooting) offers secondary punch for the Penguins, while Jared Wright (0G, 4A at 0.83 xG/60) distributes for the Kings.

What the numbers say

The 5v5 metrics tell a tight story. Pittsburgh's xG% sits at 50.8% and Corsi% at 50.2%; Los Angeles edges both at 51.4% xG% and 52.1% Corsi%. Both teams' PDO (1.012 and 1.001) suggests they're performing near expectation—neither is riding an unsustainable run. This is a clash between two well-matched rosters.

On the shutdown fronts

Pittsburgh must contain Laferriere, whose 16 goals on 0.87 xG/60 and 2 high-danger goals suggest he's exceeding his expected output. Los Angeles will target Hallander, though his 0 goals to date mean the Penguins have created the better shot profile but haven't finished.

The deciding factor

Goaltending will likely break the deadlock. Both teams' underlying metrics are aligned closely enough that depth and situational execution—save percentage in tight moments—matter more than systemic advantage. The Kings' 53% projected win probability amounts to noise at this sample size; this is too close to call based on the roster alone.


One Thing to Watch

  • Finish, not volume. Both teams generate chances at similar rates; the one that converts at the right moments wins.

Data: NHL API, Backcheck xG model

Season rates in this preview are from 2025-26 — this season's sample isn't live yet.

What the model said beforehand

The model's lean

LAK 53%
53%
LAK
Model favorite
47%
53%
PIT50LAK

LAK by 6 points of win probability — a modest lean. Projected score PIT 3.1–3.3 LAK; 16% 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
PIT← edge
edge →LAK
50.8%51.4%
50.2%52.1%
3.313.10
3.202.93
3.542.68
3.152.90
1.0121.001

LAK holds 4 of 6 process categories — and the luck row (1.012 vs 1.001) says PIT has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · No games yet
PIT
0-0-0
+0 GD · 0d rest
LAK
0-0-0
+0 GD · 0d rest
1.012
PIT PDO
Luck gauge · drifts to 1.000
1.001
LAK PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

STRENGTHPIT

Filip Hallander drives the Penguins offense

Filip Hallander: 0G 3A, 1.28 xG/60.

TACTICALLAK

Shutdown Assignment: Kings

Key matchup: Neutralize Filip Hallander (0G, 1.28 xG/60, 0 HD goals)

Key matchup: Neutralize Filip Hallander (0G, 1.28 xG/60, 0 HD goals)

TACTICALPIT

Shutdown Assignment: Penguins

Key matchup: Neutralize Alex Laferriere (16G, 0.87 xG/60, 2 HD goals)

Key matchup: Neutralize Alex Laferriere (16G, 0.87 xG/60, 2 HD goals)

WARNINGPIT

Exploitable minutes: Caleb Jones

Caleb Jones is on ice for 3.26 xGA/60 and 4 high-danger shots against this season.

Hunt matchups against Caleb Jones's shifts with the top line.

Things to watch
  • Two evenly matched teams on paper — this one tilts on goaltending.
Computed danger · scouting

Players to watch

NHL stats API · our xG
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
LAK
Alex Laferriere16G 18A
0.87 xG/60 · 2 HD · 9.9% sh
Jared Wright0G 4A
0.83 xG/60 · 0 HD · 0.0% sh
Keep going

Where to next