Backcheck
Recap · VAN at CAR

Hurricanes run the Canucks off the ice on the underlying numbers

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

By the ModelJul 11, 4:00 PMxG: xgboost-0.758Edited for clarity
Away
VAN
Vancouver Canucks
3
Home
CAR
Carolina Hurricanes
4
FINAL / OT
Process vs result

The underlying story

1.27Expected goals5.69
82% share for the better side
17Shot attempts (SOG)38
1High-danger chances12
30Corsi (all attempts)94
Score-adjusted: 23% / 77%
Source · NHL play-by-play · XGBoost xG

The Hurricanes won 4–3 in overtime. They controlled 82% of 5v5 expected goals (5.69–1.27) and 69% of shot attempts (38–17), yet underperformed their xG by 1.69 goals. Vancouver, meanwhile, overperformed by 1.73—a variance that transformed a lopsided game into a one-goal finish.

K. Lankinen (VAN) stopped 1.69 above expected with a 0.895 save percentage across 38 shots. P. Kochetkov (CAR) gave up 1.73 more than expected at 0.824 save percentage, despite facing just 17 shots. The gap between them was the night's story.

The quality gap was wider still. Carolina generated 0.061 xG per shot; Vancouver managed 0.042. The Hurricanes' 12 high-danger chances to the Canucks' one should have sealed it. The Hurricanes converted zero of those 12. Sebastian Aho finished it—a snap shot from the high slot at 04:29 of overtime.

Both teams scored effectively off the rush: Carolina four on 36, Vancouver three on 17. The Hurricanes' 82% underlying advantage and 12 high-danger chances should have produced a blowout, but their 0-for-12 finishing and Kochetkov's -1.73 night allowed Lankinen's saves to keep it within one.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
VAN0 / 1 · 0.20 xG
CAR0 / 12 · 2.77 xG
Medium dangermid-range
VAN3 / 7 · 0.66 xG
CAR3 / 19 · 2.33 xG
Low dangerperimeter & point
VAN0 / 22 · 0.41 xG
CAR1 / 63 · 0.60 xG

CAR went 0-for-12 from high danger on 2.77 expected goals — 2.8 left on the table.

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

Finishing vs expected

expectedactual
VAN
3 G · 1.27 xG · +1.7
CAR
4 G · 5.69 xG · -1.7
0123456
Goalies · GSAx (goals saved above expected)
K. LankinenVAN
+1.7
P. KochetkovCAR
-1.7

VAN finished +1.7 against expected, CAR -1.7 — P. Kochetkov (CAR) allowed 1.7 more goals than expected.

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

Shot diet

goalsshots
VAN
SNAP3/6
WRIST0/16
SLAP0/0
BACKHAND0/1
TIP IN0/1
DEFLECTED0/0
CRADLE0/0
OTHER0/6
CAR
SNAP3/32
WRIST0/11
SLAP1/7
BACKHAND0/5
TIP IN0/3
DEFLECTED0/2
CRADLE0/1
OTHER0/33
VAN
CAR
Off the rush
3 G on 17 · 0.96 xG
4 G on 36 · 4.06 xG
Off rebounds
0 G on 1 · 0.20 xG
0 G on 8 · 1.07 xG

Snap shots carried the volume: VAN went 3-for-6, CAR 3-for-32. CAR scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
S. Gostisbehere
#4 · D · CAR
0 G · 3 A · 6 SOG · 26:22 TOI · +1
A. Svechnikov
#37 · R · CAR
2 G · 1 A · 2 SOG · 19:10 TOI · +2
S. Aho
#20 · C · CAR
1 G · 1 A · 4 SOG · 24:00 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • VAN generated higher-quality looks than the shot total suggests.
  • K. Lankinen (VAN) stopped 1.7 goals above expected.
  • P. Kochetkov (CAR) gave up 1.7 goals more than expected — well below their workload.
  • CAR generated far more dangerous chances — 0.061 xG/shot vs 0.042. Quality over quantity.
  • CAR couldn't convert — 0/12 on high-danger chances. That won't happen often.
  • CAR was lethal off the rush — 4 goals on 36 rush chances.
  • VAN was lethal off the rush — 3 goals on 17 rush chances.
  • CAR created 8 rebound opportunities (0 converted) — crashing the net effectively.
  • CAR underperformed xG by 1.7 — wasted quality chances.
  • VAN outperformed their expected goals by 1.7 — elite finishing or lucky bounces.
  • K. Lankinen (VAN) saved 1.7 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · VAN at CAR · 7:00 PM ET

The Hurricanes should handle the Canucks — with PDO regression in play

By the ModelJul 11, 3:57 PMEdited for clarity
Win probability

The model's lean

63%
CAR
Model favorite
37%
63%
VAN50CAR

CAR by 26 points of win probability — a clear lean. Projected score VAN 2.33.0 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

VAN← edge
edge →CAR
44.0%5v5 xG%56.0%
46.0%Corsi%60.0%
2.22xGF / 602.98
2.81xGA / 602.31
1.60Goals for / gm2.26
2.56Goals against / gm1.95
0.974PDO — luck, not skill0.984

CAR holds 6 of 6 process categories — and PDO (0.974 vs 0.984) says CAR has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.3-3.0 Carolina win with the Hurricanes at 63% win probability. That margin reflects a gulf in five-on-five play that should hold up.

Carolina commands the underlying metrics decisively. The Hurricanes post 56.0% xG% to Vancouver's 44.0%, a 12-point gap that translates to clean territorial control. Corsi widens the spread further: 60.0% for Carolina versus 46.0% for Vancouver. When possession is contested, the Hurricanes occupy the offensive end.

Vancouver's recent form compounds the mismatch. The Canucks sit at minus-8 goal differential over their last 10 games—a red flag entering a matchup against a team that already owns the shot battle.

Both squads are running cold on PDO, but the regression works differently for each team. Carolina's 0.984 sits above Vancouver's 0.974—a narrow gap that nevertheless favors the team already dominating five-on-five play. As both regress toward normal, the Hurricanes' underlying superiority reasserts itself in the scoreline. Vancouver's overperformance is exhausted.

Player-level talent reinforces the edge. Jackson Blake drives Carolina's offense at 1.06 xG per 60 minutes with 14 goals, suggesting reliable finishing at 10.9% shooting and high-impact chances with 2 high-danger goals. Seth Jarvis leads in volume with 17 goals at 0.98 xG/60 and an 11.9% shooting rate that hints his hot streak will persist.

Vancouver's best offer is Filip Chytil and Drew O'Connor. Chytil generates 1.03 xG per 60 minutes but has managed only 3 goals and 0 assists with 1 high-danger chance—clear evidence of underfinishing despite the expected-goals volume. O'Connor contributes 13 goals and 11 assists at 0.85 xG/60, with 3 high-danger goals registered, but that differential suggests he's nearing his ceiling rather than ascending.

The Hurricanes win the underlying play by a wide margin and should convert that dominance into a win. PDO regression favors them, their shot-generation edge is real, and their offensive talent outproduces Vancouver's at the point of attack. Back Carolina to handle this assignment.

Computed danger · scouting

Players to watch

VAN
Filip Chytil3G 0A
1.03 xG/60 · 1 HD · 15.0% sh
Drew O'Connor13G 11A
0.85 xG/60 · 3 HD · 11.8% 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