Backcheck
Recap · NYI at CAR

Hurricanes run the Islanders off the ice on the underlying numbers

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

By the ModelJul 12, 10:19 AMxG: xgboost-0.758Edited for clarity
Away
NYI
New York Islanders
3
Home
CAR
Carolina Hurricanes
4
FINAL
Process vs result

The underlying story

2.57Expected goals4.81
65% share for the better side
16Shot attempts (SOG)40
4High-danger chances8
32Corsi (all attempts)82
Score-adjusted: 30% / 70%
Source · NHL play-by-play · XGBoost xG

The Hurricanes won 4-3, but they should have won by more—they held 4.81 expected goals to the Islanders' 2.57, a 65–35 domination that I. Sorokin's goaltending nearly reversed. The Hurricanes controlled 71% of shot attempts (40–16) and dominated high-danger chances 8–4, yet left 0.81 goals on the table through underperformance. Sorokin finished +0.81 against his expected save percentage, an extraordinary margin that nearly stole the game.

The Islanders' limited offense was dangerous when it mattered. They generated higher-quality chances—0.080 xG per shot to the Hurricanes' 0.059—which meant their third line stayed lethal off the rush. They scored 3 goals on just 16 rush attempts, a conversion rate the Hurricanes couldn't match despite converting 3 of 35 attempts. S. Jarvis's two goals and K. Miller's two assists drove Carolina's dominance. M. Schaefer's assist on Anders Lee's slot tip-in was the Islanders' most dangerous sequence.

The underlying numbers told a clear story: a Hurricanes rout constrained entirely by Sorokin's overperformance.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
NYI1 / 4 · 0.87 xG
CAR1 / 8 · 2.09 xG
Medium dangermid-range
NYI2 / 11 · 1.44 xG
CAR2 / 22 · 1.99 xG
Low dangerperimeter & point
NYI0 / 17 · 0.26 xG
CAR1 / 52 · 0.73 xG

CAR went 1-for-8 from high danger on 2.09 expected goals — 1.1 left on the table.

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

Finishing vs expected

expectedactual
NYI
3 G · 2.57 xG · +0.4
CAR
4 G · 4.81 xG · -0.8
0123456
Goalies · GSAx (goals saved above expected)
I. SorokinNYI
+0.8
B. BussiCAR
-0.4

NYI finished +0.4 against expected, CAR -0.8 — I. Sorokin (NYI) saved 0.8 goals above expected.

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

Shot diet

goalsshots
NYI
SNAP0/10
WRIST1/12
SLAP0/0
BACKHAND0/0
TIP IN1/1
DEFLECTED1/2
OTHER0/7
CAR
SNAP1/27
WRIST3/20
SLAP0/8
BACKHAND0/4
TIP IN0/2
DEFLECTED0/0
OTHER0/21
NYI
CAR
Off the rush
3 G on 16 · 2.04 xG
3 G on 35 · 2.73 xG
Off rebounds
0 G on 2 · 0.29 xG
0 G on 4 · 0.54 xG

Snap shots carried the volume: NYI went 0-for-10, CAR 1-for-27. NYI scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
S. Jarvis
#24 · R · CAR
2 G · 1 A · 6 SOG · 17:26 TOI · +3
K. Miller
#19 · D · CAR
0 G · 2 A · 1 SOG · 19:35 TOI · +1
M. Schaefer
#48 · D · NYI
0 G · 1 A · 1 SOG · 27:11 TOI · -1
Ranked from the box score — points first · Backcheck
What the model flagged
  • NYI had the higher quality looks — 0.080 xG/shot vs 0.059.
  • CAR was lethal off the rush — 3 goals on 35 rush chances.
  • NYI was lethal off the rush — 3 goals on 16 rush chances.
  • CAR created 4 rebound opportunities (0 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · NYI at CAR · 7:00 PM ET

The Hurricanes are the model's lean over the Islanders — with PDO regression in play

By the ModelJul 12, 10:17 AMEdited for clarity
Win probability

The model's lean

59%
CAR
Model favorite
41%
59%
NYI50CAR

CAR by 18 points of win probability — a clear lean. Projected score NYI 2.43.0 CAR; 17% chance it's tied after 60.

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

Tale of the tape

NYI← edge
edge →CAR
48.0%5v5 xG%56.0%
49.0%Corsi%60.0%
2.48xGF / 602.98
2.69xGA / 602.31
1.78Goals for / gm2.26
1.94Goals against / gm1.95
0.993PDO — luck, not skill0.984

CAR holds 5 of 6 process categories — and PDO (0.993 vs 0.984) says NYI has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.4–3.0 Carolina win with the Hurricanes at 60% probability — a clear lean, backed by cleaner underlying metrics.

Carolina's edge lives in possession and shot quality. The Hurricanes are generating 56.0% of 5v5 expected goals against an Islanders team stuck at 48.0%. That gap extends to territory: Carolina is controlling 60.0% of Corsi, meaning the Hurricanes will dictate where this game is played.

The wildcard is PDO regression. Carolina is sitting at 0.984 — running colder than depth and luck should allow. A team driving shots at this volume typically converts more than the Hurricanes have; if that regresses back to neutral or better, the expected-goals edge widens further. The Islanders, by contrast, sit at 0.993 — still in their natural range.

Who do the Hurricanes need to contain? Anders Lee is New York's closest thing to a finisher: 1.20 expected goals per 60 minutes, with 9 goals and 2 high-danger chances, shooting at just 6.4% — evidence he's running cold himself. Bo Horvat offers a secondary threat at 0.87 xG/60, though his 12.8% shooting rate suggests he's converting chances at an unsustainable clip (18 goals from 10 assists).

Carolina's own firepower centers on Jackson Blake (1.06 xG/60, 14 goals, 2 high-danger goals) and Seth Jarvis (0.98 xG/60, 17 goals, 1 high-danger goal). Both are generating good volume; Jarvis's 11.9% shot efficiency and Blake's 10.9% put them in healthier territory than Lee's outlier cold streak.

New York's vulnerability sits with Alexander Romanov on the back end, while Carolina's defensive concern is Charles Alexis Legault. Neither pairing is game-breaking, but in a matchup defined by shot volume, puck management matters.

The Islanders will scrape for loose change — territory is the long game — but the model is right to favor Carolina. The Hurricanes have the possession, the shot profile, and the regression edge.

Computed danger · scouting

Players to watch

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
CAR
Jackson Blake14G 19A
1.06 xG/60 · 2 HD · 10.9% sh
Seth Jarvis17G 12A
0.98 xG/60 · 1 HD · 11.9% sh
Source · MoneyPuck skaters