Backcheck
Recap · CAR at ANA

Hurricanes run the Ducks off the ice on the underlying numbers

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

By the ModelJun 16, 2:54 PMxG: xgboost-0.758Edited for clarity
Away
CAR
Carolina Hurricanes
4
Home
ANA
Anaheim Ducks
1
FINAL
Process vs result

The underlying story

4.90Expected goals2.74
64% share for the better side
32Shot attempts (SOG)24
8High-danger chances3
62Corsi (all attempts)53
Score-adjusted: 50% / 50%
Source · NHL play-by-play · XGBoost xG

Carolina controlled 64% of expected goals at 5v5 (4.90–2.74), a margin large enough to make the 4–1 scoreline merely a confirmation. Dominance at that level doesn't leave room for surprises.

Shot volume suggested a tighter affair. ANA held 43% of attempts (24–32 on goal), close enough that surface-level numbers might deceive. But quality separated the teams. CAR generated 0.079 expected goals per shot against ANA's 0.052. High-danger chances went 8–3 to Carolina. The 'Canes were far more dangerous.

The goalies reveal secondary truths. F. Andersen (CAR) stopped 23 of 24 (0.958 SV%, +1.74 vs expected), protecting the lead when ANA mounted their pushes. L. Dostal (ANA) made 28 saves on 32 shots (0.875 SV%, +0.90 vs expected), exceeding his expected save rate—yet it could not salvage the game. ANA underperformed their expected goals by 1.74; CAR by 0.90. The Ducks fell further short in the critical measure.

Carolina's offense was complete. They scored twice on the rush (26 chances) and dominated the rebounding game (7 opportunities, 2 converted). S. Gostisbehere orchestrated with 3 assists. S. Jarvis (2G, 1A) and S. Aho (1G, 1A) finished the work. ANA was simply outmatched across the board.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CAR2 / 8 · 1.91 xG
ANA0 / 3 · 0.70 xG
Medium dangermid-range
CAR2 / 23 · 2.62 xG
ANA0 / 14 · 1.55 xG
Low dangerperimeter & point
CAR0 / 31 · 0.36 xG
ANA1 / 36 · 0.48 xG

ANA went 0-for-14 from medium danger on 1.55 expected goals — 1.6 left on the table.

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

Finishing vs expected

expectedactual
CAR
4 G · 4.90 xG · -0.9
ANA
1 G · 2.74 xG · -1.7
0123456
Goalies · GSAx (goals saved above expected)
F. AndersenCAR
+1.7
L. DostalANA
+0.9

CAR finished -0.9 against expected, ANA -1.7 — F. Andersen (CAR) saved 1.7 goals above expected.

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

Shot diet

goalsshots
CAR
WRIST1/13
SNAP2/12
TIP IN0/8
SLAP1/4
DEFLECTED0/5
BACKHAND0/1
WRAP AROUND0/1
OTHER0/18
ANA
WRIST1/18
SNAP0/9
TIP IN0/3
SLAP0/3
DEFLECTED0/0
BACKHAND0/2
WRAP AROUND0/1
OTHER0/17
CAR
ANA
Off the rush
2 G on 26 · 3.06 xG
1 G on 25 · 1.78 xG
Off rebounds
2 G on 7 · 1.21 xG
0 G on 1 · 0.17 xG

Wrist shots carried the volume: CAR went 1-for-13, ANA 1-for-18. CAR scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
S. Gostisbehere
#4 · D ·
0 G · 3 A · 1 SOG · 16:40 TOI · +2
S. Jarvis
#24 · R ·
2 G · 1 A · 7 SOG · 16:19 TOI · +3
S. Aho
#20 · C ·
1 G · 1 A · 2 SOG · 16:38 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • F. Andersen (CAR) stopped 1.7 goals above expected.
  • CAR had the higher quality looks — 0.079 xG/shot vs 0.052.
  • CAR was lethal off the rush — 2 goals on 26 rush chances.
  • CAR created 7 rebound opportunities (2 converted) — crashing the net effectively.
  • ANA underperformed xG by 1.7 — wasted quality chances.
  • F. Andersen (CAR) saved 1.7 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · CAR at ANA · 10:00 PM ET

Hurricanes at Ducks: a genuine coin flip

By the ModelJun 16, 2:53 PMEdited for clarity
Win probability

The model's lean

52%
CAR
Model favorite
52%
48%
CAR50ANA

CAR by 4 points of win probability — effectively a coin flip. Projected score CAR 2.82.7 ANA; 18% 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 →ANA
56.0%5v5 xG%52.0%
60.0%Corsi%52.0%
2.98xGF / 602.80
2.31xGA / 602.59
2.26Goals for / gm2.09
1.95Goals against / gm2.32
0.984PDO — luck, not skill0.981

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

Source · MoneyPuck season tables · 5v5

The model projects 2.8–2.7 Carolina with Anaheim at 48% win probability—a genuine coin flip.

Carolina owns the underlying play. The Hurricanes record 56.0% expected goals to Anaheim's 52.0% and lead Corsi 60.0% to 52.0%, signaling territorial dominance. This should favor Carolina. But both teams are running unlucky: Carolina at 0.984 PDO, Anaheim at 0.981 PDO, both due for positive regression.

Goaltending adds uncertainty. L. Dostal and B. Bussi are both on back-to-backs. A backup or tired starter from either net resets the matchup.

Offensively, Carolina features Jackson Blake (1.06 xG/60, 14 goals, 19 assists, 2 high-danger goals, 10.9% shooting) and Seth Jarvis (0.98 xG/60, 17 goals, 12 assists, 11.9% shooting). Anaheim counters with Cutter Gauthier (25 goals, 16 assists, 0.99 xG/60, 12.9% shooting) and Beckett Sennecke (1.03 xG/60, 20 goals, 19 assists, 8 high-danger goals, 13.5% shooting).

Defensively, both teams register 0% high-danger goal rate and 0% rebound goal rate. Charles Alexis Legault is Carolina's weak link. Mason McTavish is Anaheim's.

Three Things to Watch

  • Beckett Sennecke's 8 high-danger goals in 20.
  • Positive PDO regression favoring either side.
  • Which team gets a healthy goaltender.
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
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
Source · MoneyPuck skaters