Backcheck
Recap · CAR at DET

Red Wings edge the Hurricanes in overtime

The Red Wings stole one. They lost the expected-goals battle 4.47–3.41 and won anyway.

By the ModelJul 12, 12:26 AMxG: xgboost-0.758Edited for clarity
Away
CAR
Carolina Hurricanes
3
Home
DET
Detroit Red Wings
4
FINAL / OT
Process vs result

The underlying story

4.47Expected goals3.41
57% share for the better side
34Shot attempts (SOG)18
7High-danger chances5
82Corsi (all attempts)39
Score-adjusted: 72% / 28%
Source · NHL play-by-play · XGBoost xG

Detroit won 4-3 in a game where Carolina had no business losing: the Hurricanes controlled 57% of expected goals, yet fell short. This was a robbery.

The Hurricanes generated excellent chances—4.47 xG to Detroit's 3.41, 34 shots to 18—but went 0-for-7 on high-danger looks. Detroit was clinical: A. DeBrincat (1G, 2A in 17:12) and A. Copp (1G, 1A in 18:18) finished Detroit's limited chances. The Hurricanes, meanwhile, couldn't finish theirs.

J. Gibson was the difference. Detroit's goaltender stopped 31 of 34 shots (0.912 SV%) and turned in a 100% save rate on seven high-danger chances—1.47 goals above expected. F. Andersen, meanwhile, underperformed his xG by 0.59, giving up soft looks Detroit capitalized on.

Detroit's quality was hidden by the volume: they generated only 18 shots but at a rate of 0.087 xG per attempt. Carolina, with 34 shots, averaged 0.054 xG per shot. The Red Wings didn't need volume. They were lethal on the rush (3 goals on 16 chances); Carolina, despite more rush attempts, converted only 3 on 36. Detroit crashed the net for four rebound opportunities and converted once. Carolina created seven rebounds and zero goals.

Carolina's power play was the one dominant force—2 goals on 14 shots, 1.28 xG—yet it wasn't enough. A. Copp's snap shot from the doorstep at 3:27 of overtime buried the Hurricanes, and their superior underlying game had become irrelevant.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CAR0 / 7 · 1.50 xG
DET1 / 5 · 1.66 xG
Medium dangermid-range
CAR2 / 23 · 2.20 xG
DET3 / 12 · 1.50 xG
Low dangerperimeter & point
CAR1 / 52 · 0.77 xG
DET0 / 22 · 0.25 xG

CAR went 0-for-7 from high danger on 1.50 expected goals — 1.5 left on the table.

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

Finishing vs expected

expectedactual
CAR
3 G · 4.47 xG · -1.5
DET
4 G · 3.41 xG · +0.6
012345
Goalies · GSAx (goals saved above expected)
F. AndersenCAR
-0.6
J. GibsonDET
+1.5

CAR finished -1.5 against expected, DET +0.6 — J. Gibson (DET) saved 1.5 goals above expected.

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

Shot diet

goalsshots
CAR
WRIST2/16
SNAP0/12
SLAP1/16
BACKHAND0/4
TIP IN0/5
WRAP AROUND0/2
DEFLECTED0/0
OTHER0/27
DET
WRIST0/13
SNAP3/8
SLAP0/1
BACKHAND1/3
TIP IN0/2
WRAP AROUND0/0
DEFLECTED0/1
OTHER0/11
CAR
DET
Off the rush
3 G on 36 · 2.81 xG
3 G on 16 · 2.11 xG
Off rebounds
0 G on 7 · 1.04 xG
1 G on 4 · 1.03 xG

Wrist shots carried the volume: CAR went 2-for-16, DET 0-for-13. CAR scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. DeBrincat
#93 · R · DET
1 G · 2 A · 3 SOG · 17:12 TOI · +2
S. Aho
#20 · C · CAR
0 G · 2 A · 3 SOG · 21:45 TOI · -1
A. Copp
#18 · C · DET
1 G · 1 A · 1 SOG · 18:18 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • DET won despite being outplayed by xG (43%). Goaltending or finishing carried them.
  • CAR generated higher-quality looks than the shot total suggests.
  • J. Gibson (DET) stopped 1.5 goals above expected.
  • DET generated far more dangerous chances — 0.087 xG/shot vs 0.054. Quality over quantity.
  • CAR couldn't convert — 0/7 on high-danger chances. That won't happen often.
  • DET was lethal off the rush — 3 goals on 16 rush chances.
  • CAR was lethal off the rush — 3 goals on 36 rush chances.
  • DET created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • CAR created 7 rebound opportunities (0 converted) — crashing the net effectively.
  • J. Gibson was a wall on HD chances — 100% SV on 7 high-danger shots.
  • CAR power play was dominant — 2 PPG on 14 PP shots (1.28 xG).
Before the game — the model's pre-game read
Preview · CAR at DET · 7:00 PM ET

Hurricanes at Red Wings: a genuine coin flip

By the ModelJul 12, 12:25 AMEdited for clarity
Win probability

The model's lean

55%
CAR
Model favorite
55%
45%
CAR50DET

CAR by 10 points of win probability — a modest lean. Projected score CAR 2.72.5 DET; 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 →DET
56.0%5v5 xG%49.0%
60.0%Corsi%49.0%
2.98xGF / 602.38
2.31xGA / 602.50
2.26Goals for / gm1.73
1.95Goals against / gm2.07
0.984PDO — luck, not skill0.985

CAR holds 6 of 6 process categories — and PDO (0.984 vs 0.985) says DET has run hotter.

Source · MoneyPuck season tables · 5v5

The model calls this a pick'em. Carolina projects a 2.7-2.5 win with 55% win probability—close enough that the game could credibly go either way.

Carolina dominates the underlying metrics. The Hurricanes carry 56.0% 5v5 expected-goals percentage versus Detroit's 49.0%, and they drive possession at 60.0% Corsi. This is territorial control.

Both teams are running cold on PDO. Carolina sits at 0.984, Detroit at 0.985—nearly identical suppression. When both teams are regressing toward the mean from similar positions, goaltending becomes the tiebreaker. J. Gibson faces a back-to-back; B. Bussi does too. Watch for either a backup appearance or a tired starter to tip the balance.

Jackson Blake is Carolina's offensive center. He operates at 1.06 expected goals per 60 minutes with 14 goals and 19 assists, including 2 high-danger chances. His 10.9% shooting suggests he's stabilized. Seth Jarvis trails at 0.98 xG/60 with 17 goals and 12 assists, but his 11.9% shooting implies upside variance.

Detroit answers with Alex DeBrincat. He's at 0.88 xG/60 with 17 goals and 28 assists—an assist-driven producer—and 2 high-danger chances on just 9.0% shooting, indicating he's underperforming his opportunities. Marco Kasper posts 0.81 xG/60, 7 goals, 8 assists, and 1 high-danger chance on limited 6.1% shooting, a classic low-volume volatility play.

Both teams show 0% high-danger conversion and 0% rebound-goal rates, likely statistical noise on limited samples. Carolina's defensive vulnerability is Charles Alexis Legault; Detroit's is Axel Sandin-Pellikka.

The edge belongs to Carolina by virtue of 5v5 play and volume, but 55% is a lean, not a mandate. The back-to-back goaltending situation is the wildcard that could flip this entirely.

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
DET
Alex DeBrincat17G 28A
0.88 xG/60 · 2 HD · 9.0% sh
Marco Kasper7G 8A
0.81 xG/60 · 1 HD · 6.1% sh
Source · MoneyPuck skaters