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 11, 2:01 PMxG: xgboost-0.758Edited for clarity
Away
NYI
New York Islanders
2
Home
CAR
Carolina Hurricanes
6
FINAL
Process vs result

The underlying story

3.20Expected goals5.28
62% share for the better side
28Shot attempts (SOG)34
5High-danger chances7
54Corsi (all attempts)73
Score-adjusted: 50% / 50%
Source · NHL play-by-play · XGBoost xG

The Hurricanes' 6-2 victory overstates their dominance. They controlled 62% of expected goals (5.28–3.20) — a clear edge, but the final margin was inflated by luck: the Islanders underperformed their xG by 1.20, the Hurricanes overperformed by 0.72, a two-goal swing that transformed a close underlying contest into a rout.

The play-by-play shows why. Carolina held 55% of shot attempts (34–28) and converted rush chances with precision: four goals on 31 attempts. New York generated chances but couldn't finish — zero on five high-danger chances, the kind of binary outcome that cuts both ways.

Goaltending amplified the gap. B. Bussi stopped 1.2 goals above expected while denying all five high-danger attempts. D. Rittich surrendered 0.72 goals more than the model predicted — neutral variance in a high-volume night, not a failure. One benefited, one didn't.

Rebound creation revealed intent. Carolina generated seven rebounding opportunities and converted two; New York had four and converted none. That gap tracks with Carolina's net-crashing approach, a deliberate strategy that generates second chances. New York crashed too, but never capitalized.

The underlying play favored Carolina clearly. The scoreboard simply amplified the difference.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
NYI0 / 5 · 1.01 xG
CAR1 / 7 · 1.58 xG
Medium dangermid-range
NYI1 / 14 · 1.61 xG
CAR4 / 26 · 3.06 xG
Low dangerperimeter & point
NYI1 / 35 · 0.58 xG
CAR1 / 40 · 0.65 xG

NYI went 0-for-5 from high danger on 1.01 expected goals — 1.0 left on the table.

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

Finishing vs expected

expectedactual
NYI
2 G · 3.20 xG · -1.2
CAR
6 G · 5.28 xG · +0.7
01234567
Goalies · GSAx (goals saved above expected)
D. RittichNYI
-0.7
B. BussiCAR
+1.2

NYI finished -1.2 against expected, CAR +0.7 — B. Bussi (CAR) saved 1.2 goals above expected.

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

Shot diet

goalsshots
NYI
WRIST1/22
SNAP1/9
TIP IN0/5
BACKHAND0/4
SLAP0/2
WRAP AROUND0/0
DEFLECTED0/0
BETWEEN LEGS0/0
OTHER0/12
CAR
WRIST3/30
SNAP2/15
TIP IN0/2
BACKHAND0/3
SLAP0/3
WRAP AROUND1/2
DEFLECTED0/1
BETWEEN LEGS0/1
OTHER0/16
NYI
CAR
Off the rush
1 G on 25 · 2.02 xG
4 G on 31 · 3.13 xG
Off rebounds
0 G on 4 · 0.55 xG
2 G on 7 · 1.19 xG

Wrist shots carried the volume: NYI went 1-for-22, CAR 3-for-30. CAR scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. Svechnikov
#37 · R · CAR
1 G · 1 A · 3 SOG · 15:50 TOI · +2
L. Stankoven
#22 · C · CAR
1 G · 1 A · 2 SOG · 14:04 TOI · +3
A. Nikishin
#21 · D · CAR
0 G · 1 A · 1 SOG · 20:28 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • B. Bussi (CAR) stopped 1.2 goals above expected.
  • NYI couldn't convert — 0/5 on high-danger chances. That won't happen often.
  • CAR was lethal off the rush — 4 goals on 31 rush chances.
  • CAR created 7 rebound opportunities (2 converted) — crashing the net effectively.
  • NYI created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • B. Bussi was a wall on HD chances — 100% SV on 5 high-danger shots.
Before the game — the model's pre-game read
Preview · NYI at CAR · 7:30 PM ET

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

By the ModelJul 11, 1:52 PMEdited 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 likes Carolina at 60% win probability, projecting a 2.4-3.0 game. The Hurricanes own the underlying play: 56.0% 5v5 xG versus New York's 48.0% reveals the gap in shot quality. Corsi compounds the edge, running 60.0% for Carolina against 49.0% for New York—a territorial imbalance the Islanders will struggle to overcome.

Carolina's PDO sits at 0.984, running cold and due for positive regression. New York's 0.993 is closer to sustainable, which means Carolina's efficiency gap actually understates their talent advantage. When the Hurricanes' luck normalizes, the gap widens.

Players to Watch

Anders Lee (1.20 xG/60, 9G 20A, 2 HD goals, 6.4% shooting) drives New York's attack, though his shooting has lagged expectations. Bo Horvat (0.87 xG/60, 18G 10A, 3 HD goals, 12.8% shooting) carries more lethal efficiency. Jackson Blake (1.06 xG/60, 14G 19A, 2 HD goals, 10.9% shooting) leads Carolina's offense, matched closely by Seth Jarvis (0.98 xG/60, 17G 12A, 1 high-danger goal, 11.9% shooting).

Alexander Romanov represents New York's defensive liability. Charles Alexis Legault is Carolina's weak link on the back end.

The 60% lean reflects Carolina's steady edge in chance creation and territory over 60 minutes.

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