Backcheck
Recap · PIT at NYI

Penguins run the Islanders off the ice on the underlying numbers

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

By the ModelJul 12, 9:31 AMxG: xgboost-0.758Edited for clarity
Away
PIT
Pittsburgh Penguins
8
Home
NYI
New York Islanders
3
FINAL
Process vs result

The underlying story

5.36Expected goals2.94
65% share for the better side
32Shot attempts (SOG)23
9High-danger chances5
64Corsi (all attempts)53
Score-adjusted: 53% / 47%
Source · NHL play-by-play · XGBoost xG

The Penguins scored 8 goals, but expected goals said they should score only 5.36. That 2.64-goal overperformance — whether elite finishes or fortunate bounces — was the truest evidence of dominance: they didn't just beat the Islanders, they made their own luck.

The underlying play was no contest. Pittsburgh controlled 65% of 5v5 expected goals (5.36–2.94) despite the shot attempts staying relatively close (32–23 for Pittsburgh). The Islanders held just 42% of shot attempts, a gap that looked modest until you looked at quality: Pittsburgh's xG per shot was 0.084 versus New York's 0.055.

The Islanders had moments. They scored 2 goals on 20 rush chances and created 3 rebound opportunities. Bryan Rust's wrist shot from the high slot (P3, 16:16) proved to be the inflection point — after that, the game was over.

But Pittsburgh's rush attack was merciless: 5 goals on 32 chances. Their rebound work was better too (2 goals on 8 opportunities). When high-danger chances broke 9–5 for the visitors, the rout was sealed.

Goaltending told the rest of the story. A. Silovs stopped 20 of 23 for Pittsburgh. I. Sorokin allowed 2.1 goals more than expected, an unusually poor performance for the workload he faced. His understudy, D. Rittich, arrived in the third period to face 3 shots on a blown-out game.

The Three Stars:

  • #39 A. Mantha (PIT) — 2G, 1A in 18:13
  • #16 J. Brazeau (PIT) — 3A in 14:23
  • #28 P. Wotherspoon (PIT) — 2A in 20:39

Final: PIT 8 – NYI 3

Data: NHL API, MoneyPuck xG model

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
PIT2 / 9 · 2.31 xG
NYI1 / 5 · 1.32 xG
Medium dangermid-range
PIT5 / 20 · 2.54 xG
NYI1 / 11 · 1.19 xG
Low dangerperimeter & point
PIT1 / 35 · 0.51 xG
NYI1 / 37 · 0.42 xG

PIT went 5-for-20 from medium danger on 2.54 expected goals — 2.5 above expected.

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

Finishing vs expected

expectedactual
PIT
8 G · 5.36 xG · +2.6
NYI
3 G · 2.94 xG · +0.1
0123456789
Goalies · GSAx (goals saved above expected)
A. SilovsPIT
-0.1
I. SorokinNYI
-2.1
D. RittichNYI
-0.5

PIT finished +2.6 against expected, NYI +0.1 — I. Sorokin (NYI) allowed 2.1 more goals than expected.

Source · Backcheck xG model
What they shot — and what went in

Shot diet

goalsshots
PIT
SNAP2/14
WRIST1/14
BACKHAND2/9
TIP IN0/7
SLAP1/2
DEFLECTED2/4
WRAP AROUND0/0
OTHER0/14
NYI
SNAP2/23
WRIST0/4
BACKHAND1/3
TIP IN0/1
SLAP0/2
DEFLECTED0/0
WRAP AROUND0/2
OTHER0/18
PIT
NYI
Off the rush
5 G on 32 · 3.16 xG
2 G on 20 · 2.33 xG
Off rebounds
2 G on 8 · 1.32 xG
1 G on 3 · 0.33 xG

Snap shots carried the volume: PIT went 2-for-14, NYI 2-for-23. PIT scored 5 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. Mantha
#39 · R · PIT
2 G · 1 A · 4 SOG · 18:13 TOI · +4
J. Brazeau
#16 · R · PIT
0 G · 3 A · 3 SOG · 14:23 TOI · +3
P. Wotherspoon
#28 · D · PIT
0 G · 2 A · 2 SOG · 20:39 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • I. Sorokin (NYI) gave up 2.1 goals more than expected — well below their workload.
  • PIT had the higher quality looks — 0.084 xG/shot vs 0.055.
  • NYI was lethal off the rush — 2 goals on 20 rush chances.
  • PIT was lethal off the rush — 5 goals on 32 rush chances.
  • NYI created 3 rebound opportunities (1 converted) — crashing the net effectively.
  • PIT created 8 rebound opportunities (2 converted) — crashing the net effectively.
  • PIT outperformed their expected goals by 2.6 — elite finishing or lucky bounces.
  • D. Rittich (NYI) saved 4.4 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · PIT at NYI · 7:00 PM ET

Penguins at Islanders: a genuine coin flip

By the ModelJul 12, 9:29 AMEdited for clarity
Win probability

The model's lean

51%
PIT
Model favorite
51%
49%
PIT50NYI

PIT by 2 points of win probability — effectively a coin flip. Projected score PIT 2.72.6 NYI; 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 →NYI
51.0%5v5 xG%48.0%
50.0%Corsi%49.0%
2.66xGF / 602.48
2.55xGA / 602.69
2.45Goals for / gm1.78
2.12Goals against / gm1.94
1.012PDO — luck, not skill0.993

PIT holds 5 of 6 process categories — and PDO (1.012 vs 0.993) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.7–2.6 Pittsburgh advantage with the Penguins at exactly 50% win probability—the definition of a coin flip. The underlying play belongs to Pittsburgh: 51.0% expected goals against 48.0% for New York, with shot attempts (50.0% Corsi vs. 49.0%) backing that edge. But when the gap is this thin, puck luck and execution matter as much as process. Pittsburgh's 1.012 PDO suggests they've caught some favorable bounces; New York's 0.993 means variance could swing either way.

Rickard Rakell is the player to watch for Pittsburgh—1.01 xG/60 with 13G 13A and a 12.1% shooting rate means he's converting chances at a high clip and has scored three high-danger goals this season. Filip Hallander (1.28 xG/60) generates volume from the offensive zone, though he's likely out after being recalled from the AHL for further evaluation. That's a significant absence if it holds.

For New York, Anders Lee (1.20 xG/60) has 9G 20A but only a 6.4% shooting rate—he's creating opportunities faster than converting them. Bo Horvat's 0.87 xG/60 understates his impact: 18G 10A at 12.8% shooting suggests he's one of the more efficient finishers in the lineup when opportunities arrive.

Both teams have produced 0% of their goals from high-danger chances and 0% from rebounds—a statistical oddity that either reflects unusual luck or warrants skepticism. Pittsburgh's defensive concern is Caleb Jones; New York's is Alexander Romanov. In a game this even, those weak links could be the difference.

The Penguins own the underlying play, but the Islanders are close enough that New York's ability to stay within the margins makes this a genuine toss-up rather than a Pittsburgh lock.

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
NYI
Anders Lee9G 20A
1.20 xG/60 · 2 HD · 6.4% sh
Bo Horvat18G 10A
0.87 xG/60 · 3 HD · 12.8% sh
Source · MoneyPuck skaters