Backcheck
Recap · CAR at MTL

Canadiens pull away from the Hurricanes

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

By the ModelJul 12, 8:38 AMxG: xgboost-0.758Edited for clarity
Away
CAR
Carolina Hurricanes
2
Home
MTL
Montreal Canadiens
5
FINAL
Process vs result

The underlying story

4.49Expected goals5.72
56% share for the better side
43Shot attempts (SOG)19
6High-danger chances11
87Corsi (all attempts)45
Score-adjusted: 67% / 34%
Source · NHL play-by-play · XGBoost xG

Montreal's 5-2 win conceals a lopsided affair: they recorded just 19 shots against 43 (31% of attempts), yet dominated almost everything else.

The expected-goals picture confirmed it. Montreal held 56% (5.72–4.49), built on surgical shot quality—0.127 xG per attempt versus Carolina's 0.052. They were out-creating, not outshooting.

High-danger chances went 11–6 Montreal. Carolina's finish was grim: they underperformed their 4.49 xG by 2.49 goals, going 0-for-6 on dangerous looks. Montreal underperformed theirs by just 0.72.

The rush game was lopsided in conversion. Montreal scored 3 on 17 chances; Carolina managed 2 on 42. Crashing the net told the same story—Montreal generated four rebound opportunities (1 converted), Carolina created five (0 converted).

J. Dobes made 41 saves on 43 (0.953 SV%, +2.49 above expected). The turning point came early: a snap shot from Jake Evans (P3, 19:00). By the time the three stars posted—J. Slafkovský (1G, 1A in 19:30), C. Caufield (1G, 1A in 18:33), I. Demidov (1G, 1A in 11:58)—the verdict was done. F. Andersen stopped 1.72 goals above expected, but no goalie saves a team that generates nothing dangerous.

Three Stars

  • J. Slafkovský (MTL) — 1G, 1A
  • C. Caufield (MTL) — 1G, 1A
  • I. Demidov (MTL) — 1G, 1A
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CAR0 / 6 · 1.49 xG
MTL3 / 11 · 4.58 xG
Medium dangermid-range
CAR1 / 20 · 2.21 xG
MTL1 / 8 · 0.84 xG
Low dangerperimeter & point
CAR1 / 61 · 0.80 xG
MTL1 / 26 · 0.30 xG

MTL went 3-for-11 from high danger on 4.58 expected goals — 1.6 left on the table.

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

Finishing vs expected

expectedactual
CAR
2 G · 4.49 xG · -2.5
MTL
5 G · 5.72 xG · -0.7
01234567
Goalies · GSAx (goals saved above expected)
F. AndersenCAR
+1.7
J. DobesMTL
+2.5

CAR finished -2.5 against expected, MTL -0.7 — J. Dobes (MTL) saved 2.5 goals above expected.

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

Shot diet

goalsshots
CAR
SNAP1/39
SLAP0/10
TIP IN0/6
WRIST1/5
BACKHAND0/3
BAT0/0
DEFLECTED0/0
OTHER0/24
MTL
SNAP2/23
SLAP0/3
TIP IN1/2
WRIST1/2
BACKHAND0/0
BAT0/1
DEFLECTED1/1
OTHER0/13
CAR
MTL
Off the rush
2 G on 42 · 3.05 xG
3 G on 17 · 2.51 xG
Off rebounds
0 G on 5 · 0.82 xG
1 G on 4 · 0.82 xG

Snap shots carried the volume: CAR went 1-for-39, MTL 2-for-23. MTL scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
J. Slafkovský
#20 · L · MTL
1 G · 1 A · 1 SOG · 19:30 TOI · +2
C. Caufield
#13 · R · MTL
1 G · 1 A · 2 SOG · 18:33 TOI · +2
I. Demidov
#93 · R · MTL
1 G · 1 A · 1 SOG · 11:58 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • CAR generated higher-quality looks than the shot total suggests.
  • F. Andersen (CAR) stopped 1.7 goals above expected.
  • Open game — 17 high-danger chances combined (MTL 11, CAR 6).
  • MTL generated far more dangerous chances — 0.127 xG/shot vs 0.052. Quality over quantity.
  • CAR couldn't convert — 0/6 on high-danger chances. That won't happen often.
  • MTL was lethal off the rush — 3 goals on 17 rush chances.
  • CAR was lethal off the rush — 2 goals on 42 rush chances.
  • MTL created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • CAR created 5 rebound opportunities (0 converted) — crashing the net effectively.
  • CAR underperformed xG by 2.5 — 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 MTL · 7:00 PM ET

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

By the ModelJul 12, 8:35 AMEdited for clarity
Win probability

The model's lean

55%
CAR
Model favorite
55%
45%
CAR50MTL

CAR by 10 points of win probability — a modest lean. Projected score CAR 2.82.5 MTL; 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 →MTL
56.0%5v5 xG%48.0%
60.0%Corsi%49.0%
2.98xGF / 602.41
2.31xGA / 602.62
2.26Goals for / gm2.24
1.95Goals against / gm1.96
0.984PDO — luck, not skill1.018

CAR holds 6 of 6 process categories — and PDO (0.984 vs 1.018) says MTL has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.8–2.5 Hurricanes victory with Carolina at 55% win probability. The gap reflects one team's underlying dominance and a second team running unsustainably hot.

Carolina owns the underlying play. The Hurricanes' 56.0% expected goals share versus Montreal's 48.0% documents the offensive difference; the 60.0% Corsi advantage makes the territorial tilt visible. In expected terms, this is a clear edge for the road team.

Then comes the regression story. Montreal's PDO sits at 1.018—running hot, expect some regression. Carolina's PDO is 0.984—running cold, due for positive regression. That's a two-front correction favoring the Hurricanes.

Jackson Blake anchors Carolina's offense at 1.06 expected goals per 60 minutes on 14 goals and 19 assists, with 2 high-danger goals and a 10.9% shooting rate. Seth Jarvis complements at 0.98 xG/60 with 17 goals and 12 assists on an 11.9% clip.

Montreal's answer is Cole Caufield, operating at 0.97 xG/60 on 33 goals and 16 assists with a 20.0% shooting rate. Oliver Kapanen adds 0.83 xG/60 on 19 goals and 12 assists, with 4 high-danger goals at 17.8% shooting.

Carolina's defensive weak link is Charles Alexis Legault. Montreal's is Mike Matheson.

The underlying edge for Carolina is material, and the PDO dynamics add another layer. The model's 55% Carolina lean reflects both.

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
MTL
Cole Caufield33G 16A
0.97 xG/60 · 1 HD · 20.0% sh
Oliver Kapanen19G 12A
0.83 xG/60 · 4 HD · 17.8% sh
Source · MoneyPuck skaters