Backcheck
Recap · ANA at CAR

Hurricanes pull away from the Ducks

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

By the ModelJul 11, 11:50 PMxG: xgboost-0.758Edited for clarity
Away
ANA
Anaheim Ducks
2
Home
CAR
Carolina Hurricanes
5
FINAL
Process vs result

The underlying story

3.26Expected goals4.39
57% share for the better side
13Shot attempts (SOG)35
6High-danger chances7
37Corsi (all attempts)73
Score-adjusted: 34% / 66%
Source · NHL play-by-play · XGBoost xG

Anaheim generated the better chances but couldn't convert. Carolina won 5-2, yet the Ducks underperformed their expected goals by 1.26—they had higher-quality looks (0.088 xG/shot vs 0.060) and still lost decisively.

F. Andersen's goaltending was the difference. He made 11 saves on 13 shots (0.846 SV%) but stopped 1.3 goals above expected. Against a team that exploited transition opportunities, that discipline was decisive. V. Husso (Anaheim) made 30 saves on 34 shots (0.882 SV%), but his team's defensive structure on the rush gave Carolina what it needed: five goals on 30 rush chances.

The Hurricanes dominated possession, holding 73% of shot attempts (35–13 on goal) and 57% of expected goals (4.39–3.26). But volume wasn't the story—execution was. Carolina converted three of seven high-danger chances (43%), a clinical rate. Anaheim crashed the net with seven rebound opportunities, converting none. Carolina generated six rebound chances, also converting none, yet still pulled away.

Taylor Hall's snap shot from the high slot exemplified the night's tension: Carolina finished what it created; Anaheim could not.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
ANA2 / 6 · 1.48 xG
CAR3 / 7 · 2.15 xG
Medium dangermid-range
ANA0 / 13 · 1.47 xG
CAR1 / 12 · 1.31 xG
Low dangerperimeter & point
ANA0 / 18 · 0.32 xG
CAR1 / 54 · 0.93 xG

ANA went 0-for-13 from medium danger on 1.47 expected goals — 1.5 left on the table.

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

Finishing vs expected

expectedactual
ANA
2 G · 3.26 xG · -1.3
CAR
5 G · 4.39 xG · +0.6
0123456
Goalies · GSAx (goals saved above expected)
V. HussoANA
+0.4
F. AndersenCAR
+1.3

ANA finished -1.3 against expected, CAR +0.6 — F. Andersen (CAR) saved 1.3 goals above expected.

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

Shot diet

goalsshots
ANA
SNAP1/13
SLAP0/5
WRIST0/5
TIP IN1/4
BACKHAND0/2
DEFLECTED0/0
OTHER0/8
CAR
SNAP2/36
SLAP1/6
WRIST1/4
TIP IN0/3
BACKHAND1/3
DEFLECTED0/1
OTHER0/20
ANA
CAR
Off the rush
1 G on 17 · 1.91 xG
5 G on 30 · 3.18 xG
Off rebounds
0 G on 7 · 0.88 xG
0 G on 6 · 0.63 xG

Snap shots carried the volume: ANA went 1-for-13, CAR 2-for-36. CAR scored 5 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
J. Chatfield
#5 · D · CAR
1 G · 1 A · 3 SOG · 20:59 TOI · +2
L. Stankoven
#22 · C · CAR
1 G · 1 A · 2 SOG · 15:27 TOI · +3
T. Hall
#71 · L · CAR
1 G · 1 A · 3 SOG · 12:58 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • CAR had the shot volume but the chances weren't dangerous.
  • F. Andersen (CAR) stopped 1.3 goals above expected.
  • ANA had the higher quality looks — 0.088 xG/shot vs 0.060.
  • CAR was clinical in the high-danger zone — 3/7 on HD chances (43%).
  • CAR was lethal off the rush — 5 goals on 30 rush chances.
  • CAR created 6 rebound opportunities (0 converted) — crashing the net effectively.
  • ANA created 7 rebound opportunities (0 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · ANA at CAR · 7:00 PM ET

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

By the ModelJul 11, 11:48 PMEdited for clarity
Win probability

The model's lean

56%
CAR
Model favorite
44%
56%
ANA50CAR

CAR by 12 points of win probability — a modest lean. Projected score ANA 2.52.9 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

ANA← edge
edge →CAR
52.0%5v5 xG%56.0%
52.0%Corsi%60.0%
2.80xGF / 602.98
2.59xGA / 602.31
2.09Goals for / gm2.26
2.32Goals against / gm1.95
0.981PDO — luck, not skill0.984

CAR holds 6 of 6 process categories — and PDO (0.981 vs 0.984) says CAR has run hotter.

Source · MoneyPuck season tables · 5v5

Carolina's model edge over Anaheim rests on genuine territorial dominance, but both teams are running so cold on finish that regression cuts both ways.

The model projects a 2.5-2.9 goal Hurricanes victory with 56% win probability—not a blowout, but a clear favorite. That lean begins with their 5v5 work: Carolina's 56.0% xG% means they're getting the better scoring chances at a meaningful clip. Anaheim manages just 52.0%, a gap that typically widens over time. The Corsi picture widens it further—Carolina's 60.0% to Anaheim's 52.0% reveals a team that doesn't just create better chances but controls more of the game's geography.

The complication arrives via PDO, where both teams present a paradox. Carolina sits at 0.984 and Anaheim at 0.981—both figures running cold and primed for positive regression. What this means: both teams are finishing at a depressed rate relative to their underlying play. The Hurricanes have gotten less finished product than their chances warrant, and so have the Ducks. In a league where luck regresses, that's live ammunition for the underdog.

Carolina's case runs through two creatures: Jackson Blake has generated 1.06 xG/60 with 14 goals and 19 assists, though just 2 came from high-danger areas. Seth Jarvis runs a tighter 0.98 xG/60 but carries 17 goals on an 11.9% shooting rate, suggesting he's caught some variance—the kind that doesn't always sustain.

Anaheim counters with Beckett Sennecke, the heavier load: 1.03 xG/60 producing 20 goals and 19 assists, with 8 from high-danger areas and a 13.5% shooting rate. That's legitimate efficiency. Cutter Gauthier operates slightly south of that—0.99 xG/60 for 25 goals on 12.9% shooting—but his goal total is real. The discrepancy between shot quality and output suggests both have enjoyed better luck than Carolina's pair, which tightens the PDO regression case.

The defensive weak links compound the mystery. Mason McTavish looms for Anaheim; Charles Alexis Legault for Carolina. Neither team can afford to cough up the territorial advantage they'd built if those weak points crack.

The model's verdict is sound: Carolina should win this game. But PDO regression cuts both ways, and a Ducks team that finds even partial offensive synchrony can absolutely steal one. Bet the Hurricanes, but watch for the noise.

Computed danger · scouting

Players to watch

ANA
Beckett Sennecke20G 19A
1.03 xG/60 · 8 HD · 13.5% sh
Cutter Gauthier25G 16A
0.99 xG/60 · 2 HD · 12.9% 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