Backcheck
Recap · PIT at LAK

Penguins hold off the Kings

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

By the ModelJun 16, 2:54 PMxG: xgboost-0.758Edited for clarity
Away
PIT
Pittsburgh Penguins
4
Home
LAK
Los Angeles Kings
2
FINAL
Process vs result

The underlying story

4.56Expected goals3.58
56% share for the better side
26Shot attempts (SOG)32
9High-danger chances7
48Corsi (all attempts)61
Score-adjusted: 45% / 55%
Source · NHL play-by-play · XGBoost xG

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.

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
Goalies · GSAx (goals saved above expected)
A. SilovsPIT
+1.6
A. ForsbergLAK
+1.6

PIT finished -0.6 against expected, LAK -1.6 — A. Silovs (PIT) saved 1.6 goals above expected.

Source · Backcheck xG model
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
Three stars · computed, not voted
P. Wotherspoon
#28 · D ·
0 G · 2 A · 1 SOG · 19:52 TOI · +2
E. Karlsson
#65 · D ·
0 G · 2 A · 1 SOG · 18:45 TOI · +1
R. Shea
#5 · D ·
0 G · 1 A · 0 SOG · 21:25 TOI
Ranked from the box score — points first · Backcheck
What the model flagged
  • LAK had the shot volume but the chances weren't dangerous.
  • A. Silovs (PIT) stopped 1.6 goals above expected.
  • Open game — 16 high-danger chances combined (LAK 7, PIT 9).
  • PIT had the higher quality looks — 0.095 xG/shot vs 0.059.
  • PIT was lethal off the rush — 2 goals on 23 rush chances.
  • LAK created 3 rebound opportunities (1 converted) — crashing the net effectively.
  • PIT created 8 rebound opportunities (1 converted) — crashing the net effectively.
  • LAK underperformed xG by 1.6 — wasted quality chances.
  • A. Silovs (PIT) saved 1.6 goals above expected — stole the show.
  • A. Forsberg (LAK) saved 1.6 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · PIT at LAK · 10:00 PM ET

Penguins at Kings: a genuine coin flip

By the ModelJul 11, 12:43 PMEdited for clarity
Win probability

The model's lean

53%
LAK
Model favorite
47%
53%
PIT50LAK

LAK by 6 points of win probability — a modest lean. Projected score PIT 2.42.6 LAK; 18% chance it's tied after 60.

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

Tale of the tape

PIT← edge
edge →LAK
51.0%5v5 xG%52.0%
50.0%Corsi%52.0%
2.66xGF / 602.42
2.55xGA / 602.20
2.45Goals for / gm1.85
2.12Goals against / gm1.71
1.012PDO — luck, not skill1.002

LAK holds 4 of 6 process categories — and PDO (1.012 vs 1.002) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects 2.4 goals for Pittsburgh and 2.6 for Los Angeles, with the Kings at 53% win probability. This is as close to a pick'em as advanced metrics allow.

Statistically, these teams are twins. Pittsburgh owns 51.0% xG and 50.0% Corsi at 5v5; Los Angeles counters with 52.0% on both measures—barely enough separation to notice. The only daylight lies in luck: the Kings' 1.002 PDO suggests their results slightly lag their quality, while Pittsburgh's 1.012 indicates they've caught some favorable bounces. In a game this tight, finishing becomes deterministic.

T. Jarry on a back-to-back complicates Pittsburgh's equation. A backup start or a tired starter tilts the ice toward Los Angeles, giving their depth scoring room to operate.

Rickard Rakell carries Pittsburgh's offensive load. He's converted 13 goals at 12.1% on just 1.01 xG/60—three of them high-danger chances—a marker of elite shot selection and finishing. Los Angeles will test their ability to neutralize him; Adrian Kempe's positioning weaknesses on the back end could leave room for secondary scoring. For the Kings, Alex Laferriere is the engine: 16 goals at 0.87 xG/60 and 9.9% shooting, with two high-danger conversions suggesting this isn't variance but skill. Jared Wright supports with 0G and 4A, functioning as a setup man in a complementary role.

Both teams carry a curious offensive profile: strong shot volume masked by weak finishing. Pittsburgh posts 51.0% xG but 0% high-danger and 0% rebound rates. Los Angeles matches that schizophrenia—52.0% xG with identical 0% high-danger and rebound rates. Each team creates chances but fails to grade them as premium scoring opportunities. Caleb Jones represents Pittsburgh's most exposed defensive player.

A wrinkle: Filip Hallander, recalled from his conditioning loan with the AHL club for further evaluation, carries uncertain availability. If he takes the ice, his 1.28 xG/60 adds genuine depth. His absence shrinks Pittsburgh's toolbox at a moment when depth decides playoff races.

The 2.4–2.6 projection resists conviction because both teams merit it equally. This is a game neither can concede, and neither is positioned to steal.

Computed danger · scouting

Players to watch

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
Source · MoneyPuck skaters