Backcheck
Recap · PIT at NYI

Islanders steal one from the Penguins against the run of play

The Islanders stole one. They lost the expected-goals battle 4.44–2.58 and won anyway.

By the ModelJul 12, 3:53 AMxG: xgboost-0.758Edited for clarity
Away
PIT
Pittsburgh Penguins
4
Home
NYI
New York Islanders
5
FINAL / OT
Process vs result

The underlying story

4.44Expected goals2.58
63% share for the better side
35Shot attempts (SOG)23
6High-danger chances5
64Corsi (all attempts)46
Score-adjusted: 57% / 43%
Source · NHL play-by-play · XGBoost xG

The Islanders won 5–4 in overtime despite controlling only 37% of expected goals. Pittsburgh dominated at 5v5—63% of xG—and fired 35 shots to 23, but New York converted their chances and escaped with the result.

The performance gap: xG finished 2.58–4.44, high-danger chances went 5–6. This wasn't luck; it was a mismatch that should have favored Pittsburgh.

S. Skinner cost the Penguins. He stopped 18 of 23 shots but posted a 0.783 SV%, surrendering 2.42 goals more than expected. I. Sorokin kept the Islanders alive: 31 of 35, 0.886 SV%, stealing moments when they deserved none.

New York's precision carried the rest. They buried 2 of 5 high-danger chances (40%) and scored 3 from low-danger looks—finishing that makes goalies look foolish. Off the rush, the Islanders converted 2 of 20 attempts; Pittsburgh scored twice on 33 tries. Both teams generated 4 rebound chances, but only New York cashed one.

Bo Horvat ended it at 00:52 of overtime with a snap shot from the high slot. He finished with 2 goals and 1 assist. M. Barzal logged 1 goal and 2 assists in 24:16. M. Schaefer posted 1 goal and 1 assist across 27:59.

New York outperformed their xG by 2.4 goals—elite execution masking a result they didn't earn. They stole this one.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
PIT1 / 6 · 1.60 xG
NYI2 / 5 · 1.28 xG
Medium dangermid-range
PIT3 / 22 · 2.20 xG
NYI0 / 7 · 0.77 xG
Low dangerperimeter & point
PIT0 / 36 · 0.64 xG
NYI3 / 34 · 0.52 xG

NYI went 3-for-34 from low danger on 0.52 expected goals — 2.5 above expected.

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

Finishing vs expected

expectedactual
PIT
4 G · 4.44 xG · -0.4
NYI
5 G · 2.58 xG · +2.4
0123456
Goalies · GSAx (goals saved above expected)
S. SkinnerPIT
-2.4
I. SorokinNYI
+0.4

PIT finished -0.4 against expected, NYI +2.4 — S. Skinner (PIT) allowed 2.4 more goals than expected.

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

Shot diet

goalsshots
PIT
SNAP2/28
WRIST1/10
SLAP0/2
TIP IN1/5
BACKHAND0/5
DEFLECTED0/0
OTHER0/14
NYI
SNAP2/14
WRIST0/7
SLAP2/9
TIP IN0/2
BACKHAND1/2
DEFLECTED0/1
OTHER0/11
PIT
NYI
Off the rush
2 G on 33 · 2.99 xG
2 G on 20 · 1.37 xG
Off rebounds
0 G on 4 · 0.74 xG
1 G on 4 · 0.95 xG

Snap shots carried the volume: PIT went 2-for-28, NYI 2-for-14. PIT scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
B. Horvat
#14 · C · NYI
2 G · 1 A · 3 SOG · 24:35 TOI · +5
M. Barzal
#13 · C · NYI
1 G · 2 A · 4 SOG · 24:16 TOI · +4
M. Schaefer
#48 · D · NYI
1 G · 1 A · 2 SOG · 27:59 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • NYI won despite being outplayed by xG (37%). Goaltending or finishing carried them.
  • S. Skinner (PIT) gave up 2.4 goals more than expected — well below their workload.
  • NYI was clinical in the high-danger zone — 2/5 on HD chances (40%).
  • NYI scored 3 goals from low-danger spots — the opposing goalie needs to have those.
  • NYI was lethal off the rush — 2 goals on 20 rush chances.
  • PIT was lethal off the rush — 2 goals on 33 rush chances.
  • NYI created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • PIT created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • NYI outperformed their expected goals by 2.4 — elite finishing or lucky bounces.
Before the game — the model's pre-game read
Preview · PIT at NYI · 7:30 PM ET

Penguins at Islanders: a genuine coin flip

By the ModelJul 12, 3:51 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 pregame models don't have a favorite here. MoneyPuck projects a 2.7-2.6 Pittsburgh win with both teams at 50% win probability—as close to a pick'em as exists.

The Penguins bring recent momentum. They've gone 7-1-2 in their last ten games. At even strength, Pittsburgh controls the play. The Penguins generate 51.0% of expected goals to New York's 48.0%, a meaningful edge in games decided at five-on-five. Their Corsi sits at 50.0% to the Islanders' 49.0%. The underlying numbers belong to Pittsburgh, yet their PDO of 1.012 suggests they've overperformed their process—unsustainable luck. New York's 0.993 indicates the opposite.

Neither team converts hard-chance opportunities effectively. Pittsburgh and New York both carry 0% hard-chance goal rates and 0% rebound goal rates, indicating either poor finishing or exceptional goaltending.

Rickard Rakell is Pittsburgh's offensive engine with 13 goals and a 12.1% shooting percentage, generating 1.01 expected goals per 60 minutes. Filip Hallander won't provide support—he's undergoing further evaluation following his recall from his conditioning loan with the AHL Penguins, likely making him unavailable.

Anders Lee carries New York's offense with 9 goals, 20 assists, and 2 hard-chance goals on a 6.4% shooting percentage, generating 1.20 expected goals per 60 minutes. Bo Horvat's 18 goals represent the Islanders' purest output. He generates 0.87 expected goals per 60 and shoots at 12.8%, with 3 hard-chance goals. That efficiency—Horvat's 12.8% shooting—gives New York a pathway to outscoring Pittsburgh despite the underlying disadvantage.

Caleb Jones is Pittsburgh's defensive weak link; Alexander Romanov plays the same role for the Islanders. Neither team has the personnel to erase advantages built through even-strength play.

The model is right to call this even. Pittsburgh's edge in process is real but modest. New York's talent—particularly Horvat's efficiency—can absorb it. This is a true coin flip.

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