Backcheck
Recap · NYR at CAR

Hurricanes run the Rangers off the ice on the underlying numbers

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

By the ModelJul 11, 10:16 PMxG: xgboost-0.758Edited for clarity
Away
NYR
New York Rangers
2
Home
CAR
Carolina Hurricanes
3
FINAL / OT
Process vs result

The underlying story

2.48Expected goals4.72
66% share for the better side
20Shot attempts (SOG)35
5High-danger chances2
39Corsi (all attempts)83
Score-adjusted: 30% / 70%
Source · NHL play-by-play · XGBoost xG

Carolina's 3-2 overtime victory masks a dominant performance underneath. The Hurricanes controlled 66% of 5v5 expected goals (4.72–2.48) and held 64% of shot attempts (35–20 on goal), yet barely escaped in OT. I. Shesterkin's 0.914 save percentage and +1.72 performance above expected kept New York close.

Carolina underperformed its xG by 1.72 goals. The Hurricanes scored 3 on 44 rush chances but created 6 rebound opportunities and converted none. New York generated 4 rebound opportunities and converted 1, but couldn't overcome the Hurricanes' overall dominance.

Jackson Blake's overtime goal at 04:47 ended it, though the underlying metrics suggest the game should have been decided before OT. Carolina's power play was the night's decisive weapon: 2 goals on 15 shots (1.27 xG) translated a mismatch in raw control into actual advantages.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
NYR1 / 5 · 1.20 xG
CAR0 / 2 · 0.45 xG
Medium dangermid-range
NYR0 / 10 · 0.98 xG
CAR2 / 32 · 3.51 xG
Low dangerperimeter & point
NYR1 / 24 · 0.30 xG
CAR1 / 49 · 0.76 xG

CAR went 2-for-32 from medium danger on 3.51 expected goals — 1.5 left on the table.

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

Finishing vs expected

expectedactual
NYR
2 G · 2.48 xG · -0.5
CAR
3 G · 4.72 xG · -1.7
0123456
Goalies · GSAx (goals saved above expected)
I. ShesterkinNYR
+1.7
B. BussiCAR
+0.5

NYR finished -0.5 against expected, CAR -1.7 — I. Shesterkin (NYR) saved 1.7 goals above expected.

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

Shot diet

goalsshots
NYR
SNAP1/14
TIP IN0/1
WRIST0/9
SLAP1/1
BACKHAND0/1
DEFLECTED0/0
BAT0/1
OTHER0/12
CAR
SNAP1/27
TIP IN1/13
WRIST0/2
SLAP0/9
BACKHAND0/7
DEFLECTED1/2
BAT0/0
OTHER0/23
NYR
CAR
Off the rush
1 G on 20 · 1.85 xG
3 G on 44 · 3.49 xG
Off rebounds
1 G on 4 · 0.59 xG
0 G on 6 · 0.80 xG

Snap shots carried the volume: NYR went 1-for-14, CAR 1-for-27. CAR scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
S. Aho
#20 · C · CAR
1 G · 1 A · 2 SOG · 23:14 TOI
N. Ehlers
#27 · L · CAR
0 G · 2 A · 2 SOG · 19:25 TOI
V. Gavrikov
#44 · D · NYR
1 G · 0 A · 3 SOG · 26:25 TOI · -1
Ranked from the box score — points first · Backcheck
What the model flagged
  • I. Shesterkin (NYR) stopped 1.7 goals above expected.
  • CAR was lethal off the rush — 3 goals on 44 rush chances.
  • CAR created 6 rebound opportunities (0 converted) — crashing the net effectively.
  • NYR created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • CAR underperformed xG by 1.7 — wasted quality chances.
  • I. Shesterkin (NYR) saved 1.7 goals above expected — stole the show.
  • CAR power play was dominant — 2 PPG on 15 PP shots (1.27 xG).
Before the game — the model's pre-game read
Preview · NYR at CAR · 7:00 PM ET

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

By the ModelJul 11, 10:15 PMEdited for clarity
Win probability

The model's lean

59%
CAR
Model favorite
41%
59%
NYR50CAR

CAR by 18 points of win probability — a clear lean. Projected score NYR 2.32.8 CAR; 18% chance it's tied after 60.

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

Tale of the tape

NYR← edge
edge →CAR
48.0%5v5 xG%56.0%
49.0%Corsi%60.0%
2.26xGF / 602.98
2.40xGA / 602.31
1.88Goals for / gm2.26
1.90Goals against / gm1.95
1.009PDO — luck, not skill0.984

CAR holds 5 of 6 process categories — and PDO (1.009 vs 0.984) says NYR has run hotter.

Source · MoneyPuck season tables · 5v5

The model gives Carolina 59% win probability, projecting a 2.3-2.8 game margin.

Carolina has the hot hand. Over their last 10, the Hurricanes are 6-3-1 while New York sits at -6 goal differential—form that tilts toward the road team.

But form is noise. The underlying numbers favor Carolina decisively. The Hurricanes dominate expected goals at 56.0% xG versus New York's 48.0%, an 8-point edge reflecting shot quality. Corsi widens the gap: 60.0% to 49.0%, an 11-point spread predicting territorial control. Carolina will own the offensive zone.

PDO regression is the story. Carolina's 0.984 means they're due for positive regression—their results have trailed their underlying metrics. New York's 1.009 suggests the inverse: luck running out. Over 60 minutes, the underlying edge should prevail.

B. Bussi starts on a back-to-back. Whether he rides tired or a backup gets the call, this marginal disadvantage doesn't offset the play gap.

The player matchup widens it further. Jackson Blake (1.06 xG/60, 14G 19A, 2 HD goals) leads Carolina's offensive generation. Seth Jarvis (0.98 xG/60, 17G 12A) sits just behind. New York counters with Adam Sykora at 0.91 xG/60 and Gabe Perreault at 0.79 xG/60—both solid but trailing the Hurricanes' top two.

The model's 59% is a measured lean. Carolina's the play.

Computed danger · scouting

Players to watch

NYR
Adam Sykora3G 1A
0.91 xG/60 · 0 HD · 20.0% sh
Gabe Perreault8G 11A
0.79 xG/60 · 2 HD · 13.1% 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