Backcheck
Recap · CAR at CHI

Hurricanes pull away from the Blackhawks

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

By the ModelJul 12, 11:05 AMxG: xgboost-0.758Edited for clarity
Away
CAR
Carolina Hurricanes
7
Home
CHI
Chicago Blackhawks
2
FINAL
Process vs result

The underlying story

2.82Expected goals2.24
56% share for the better side
22Shot attempts (SOG)25
3High-danger chances1
54Corsi (all attempts)44
Score-adjusted: 49% / 51%
Source · NHL play-by-play · XGBoost xG

The Hurricanes overperformed their expected goals by 4.18 in their 7-2 destruction of the Blackhawks, transforming what the underlying numbers predicted as a close contest into a decisive rout driven by elite execution and goaltending collapse.

The xG model suggested an even game: Carolina controlled 56% at 5v5 (2.82–2.24). Yet goaltending unraveled that prediction entirely. S. Knight's 0.682 SV% meant he surrendered nearly two-thirds of the shots he faced, a performance -4.18 goals versus expected. F. Andersen, by comparison, stopped 23 of 25 at 0.920 SV%. This gap between the pipes transformed a narrow edge into a blowout.

Chicago held 53% of shot attempts (25–22 on goal), yet the quality gap was stark. The Blackhawks managed just one high-danger chance to Carolina's three—volume without the teeth to threaten. They were lethal from the rush (two goals on 22 chances), but failed to generate the sustained offensive pressure that turns tight games.

Carolina's offense proved clinical. They scored two low-danger goals starters surrender in limited volume, and crashed the net hard—creating four rebound opportunities and converting one. Off the rush, they buried six of 22 chances, an overwhelming efficiency in transition. The 4.18-goal overperformance was the product of both elite finishing and S. Knight's historic underperformance.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CAR1 / 3 · 0.90 xG
CHI0 / 1 · 0.21 xG
Medium dangermid-range
CAR4 / 12 · 1.23 xG
CHI2 / 11 · 1.54 xG
Low dangerperimeter & point
CAR2 / 39 · 0.69 xG
CHI0 / 32 · 0.50 xG

CAR went 4-for-12 from medium danger on 1.23 expected goals — 2.8 above expected.

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

Finishing vs expected

expectedactual
CAR
7 G · 2.82 xG · +4.2
CHI
2 G · 2.24 xG · -0.2
012345678
Goalies · GSAx (goals saved above expected)
F. AndersenCAR
+0.2
S. KnightCHI
-4.2

CAR finished +4.2 against expected, CHI -0.2 — S. Knight (CHI) allowed 4.2 more goals than expected.

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

Shot diet

goalsshots
CAR
WRIST3/19
SNAP2/8
BACKHAND1/4
TIP IN1/4
SLAP0/2
DEFLECTED0/0
OTHER0/17
CHI
WRIST1/21
SNAP0/2
BACKHAND0/3
TIP IN1/2
SLAP0/3
DEFLECTED0/1
OTHER0/12
CAR
CHI
Off the rush
6 G on 22 · 1.49 xG
2 G on 22 · 1.89 xG
Off rebounds
1 G on 4 · 0.84 xG
0 G on 2 · 0.22 xG

Wrist shots carried the volume: CAR went 3-for-19, CHI 1-for-21. CAR scored 6 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
L. Stankoven
#22 · C · CAR
2 G · 1 A · 2 SOG · 17:44 TOI · +1
W. Carrier
#28 · L · CAR
0 G · 3 A · 0 SOG · 10:40 TOI · +3
A. Frondell
#16 · C · CHI
2 G · 0 A · 5 SOG · 20:31 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • CHI had the shot volume but the chances weren't dangerous.
  • S. Knight (CHI) gave up 4.2 goals more than expected — well below their workload.
  • CAR scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • CHI was lethal off the rush — 2 goals on 22 rush chances.
  • CAR was lethal off the rush — 6 goals on 22 rush chances.
  • CAR created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • CAR outperformed their expected goals by 4.2 — elite finishing or lucky bounces.
Before the game — the model's pre-game read
Preview · CAR at CHI · 8:30 PM ET

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

By the ModelJul 12, 11:02 AMEdited for clarity
Win probability

The model's lean

60%
CAR
Model favorite
60%
40%
CAR50CHI

CAR by 20 points of win probability — a clear lean. Projected score CAR 3.02.4 CHI; 17% chance it's tied after 60.

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

Tale of the tape

CAR← edge
edge →CHI
56.0%5v5 xG%42.0%
60.0%Corsi%46.0%
2.98xGF / 602.17
2.31xGA / 602.94
2.26Goals for / gm1.84
1.95Goals against / gm2.41
0.984PDO — luck, not skill0.996

CAR holds 6 of 6 process categories — and PDO (0.984 vs 0.996) says CHI has run hotter.

Source · MoneyPuck season tables · 5v5

The model favors the Hurricanes at 3.0-2.4 with 60% win probability. The edge lies in puck control: Carolina owns 56.0% xG and 60.0% Corsis at 5v5, which tilts the territorial balance decisively in its favor. Chicago will defend most of the night.

Form confirms the split. The Hurricanes sit 7-3-0 over their last 10; the Blackhawks are -16 in goal differential over the same span. That variance reflects not just wins and losses but also how consistently each team's underlying play has converted into results.

PDO matters here. Carolina's 0.984 runs cold and sits due for positive regression while Chicago's 0.996 hovers near neutral. As the Hurricanes' efficiency normalizes, that gap widens.

On the ice, Jackson Blake (1.06 xG/60, 14G 19A, 2 HD goals, 10.9% shooting) drives Carolina's attack with Seth Jarvis (0.98 xG/60, 17G 12A, 1 HD goal, 11.9% shooting) as secondary engine. Neither has seen defensive attention translate into reduced production. For Chicago, Tyler Bertuzzi (0.85 xG/60, 20G 15A, 7 HD goals, 18.0% shooting) converts at an elite clip despite middling volume, while Connor Bedard (0.82 xG/60, 17G 27A, 5 HD goals, 11.8% shooting) distributes at volume but trails his usual generation pace.

One tactical oddity: both teams register 0% on high-danger and rebound goals, a rarity suggesting either exceptional goaltending or minimal second-chance exposure. Charles Alexis Legault (Carolina) and Anton Frondell (Chicago) represent the defensive soft spots, though neither creates systematic vulnerability at 5v5.

Blake's 10.9% shooting leaves room to climb. Bertuzzi's 18.0% may already be peak. Combined with Carolina's puck advantage, that conversion gap should push this toward the model's 60%.

Computed danger · scouting

Players to watch

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
CHI
Tyler Bertuzzi20G 15A
0.85 xG/60 · 7 HD · 18.0% sh
Connor Bedard17G 27A
0.82 xG/60 · 5 HD · 11.8% sh
Source · MoneyPuck skaters