Backcheck
Recap · MTL at DAL

Canadiens edge the Stars in overtime

The Canadiens stole one. They lost the expected-goals battle 3.70–4.65 and won anyway.

By the ModelJul 11, 11:15 PMxG: xgboost-0.758Edited for clarity
Away
MTL
Montreal Canadiens
4
Home
DAL
Dallas Stars
3
FINAL / OT
Process vs result

The underlying story

3.70Expected goals4.65
56% share for the better side
28Shot attempts (SOG)27
3High-danger chances10
57Corsi (all attempts)53
Score-adjusted: 51% / 49%
Source · NHL play-by-play · XGBoost xG

Montreal beat Dallas 4-3 in overtime despite losing the expected goals battle 4.65–3.70. This was a heist: the Stars controlled 56% of the expected goals at 5v5 and still went home empty.

Dallas dominated the chance-generation game. The Stars generated 0.088 xG per shot versus Montreal's 0.065—higher-quality scoring chances throughout the night. High-danger looks went 10–3 in Dallas's favor. Yet Montreal's goaltending, particularly S. Montembeault's performance between the pipes, flipped the script.

S. Montembeault finished with a 0.889 save percentage on 24 saves—1.65 goals better than expected. He was especially brilliant on high-danger chances, posting a 90% save percentage on 10 such attempts. J. Oettinger, meanwhile, posted a 0.857 save percentage for Dallas, though the real issue wasn't his performance: the Stars underperformed their expected goals by 1.65 goals, wasting a dominant offensive showcase.

Both teams found rhythm on the rush. Dallas scored twice on 30 rush chances; Montreal answered with three goals on 29 attempts. The difference was conversion when it mattered most.

Lane Hutson's snap shot from the high slot at 03:40 of overtime beat Oettinger. It was the punctuation on a night that validated the oldest axiom in hockey: goaltending and depth scoring can overcome pure firepower.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MTL0 / 3 · 0.74 xG
DAL1 / 10 · 2.63 xG
Medium dangermid-range
MTL4 / 25 · 2.63 xG
DAL2 / 18 · 1.76 xG
Low dangerperimeter & point
MTL0 / 29 · 0.33 xG
DAL0 / 25 · 0.26 xG

DAL went 1-for-10 from high danger on 2.63 expected goals — 1.6 left on the table.

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

Finishing vs expected

expectedactual
MTL
4 G · 3.70 xG · +0.3
DAL
3 G · 4.65 xG · -1.6
012345
Goalies · GSAx (goals saved above expected)
S. MontembeaultMTL
+1.7
J. OettingerDAL
-0.3

MTL finished +0.3 against expected, DAL -1.6 — S. Montembeault (MTL) saved 1.7 goals above expected.

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

Shot diet

goalsshots
MTL
SNAP1/23
SLAP2/7
TIP IN0/4
BACKHAND0/1
WRIST0/3
DEFLECTED1/1
BAT0/1
WRAP AROUND0/1
OTHER0/16
DAL
SNAP2/25
SLAP0/1
TIP IN0/2
BACKHAND0/5
WRIST0/2
DEFLECTED0/1
BAT0/1
WRAP AROUND1/1
OTHER0/15
MTL
DAL
Off the rush
3 G on 29 · 2.77 xG
2 G on 30 · 3.71 xG
Off rebounds
0 G on 3 · 0.47 xG
1 G on 1 · 0.28 xG

Snap shots carried the volume: MTL went 1-for-23, DAL 2-for-25. MTL scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
L. Hutson
#48 · D · MTL
1 G · 1 A · 1 SOG · 27:58 TOI · +2
W. Johnston
#53 · C · DAL
2 G · 0 A · 3 SOG · 22:48 TOI · +1
J. Slafkovský
#20 · L · MTL
1 G · 1 A · 4 SOG · 20:21 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • MTL stole this one. DAL owned 56% of the xG and lost.
  • S. Montembeault (MTL) stopped 1.7 goals above expected.
  • DAL generated far more dangerous chances — 0.088 xG/shot vs 0.065. Quality over quantity.
  • DAL was lethal off the rush — 2 goals on 30 rush chances.
  • MTL was lethal off the rush — 3 goals on 29 rush chances.
  • MTL created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • DAL underperformed xG by 1.6 — wasted quality chances.
  • S. Montembeault (MTL) saved 1.6 goals above expected — stole the show.
  • S. Montembeault was a wall on HD chances — 90% SV on 10 high-danger shots.
Before the game — the model's pre-game read
Preview · MTL at DAL · 2:00 PM ET

Canadiens at Stars: a genuine coin flip

By the ModelJul 11, 11:31 PMEdited for clarity
Win probability

The model's lean

54%
DAL
Model favorite
46%
54%
MTL50DAL

DAL by 8 points of win probability — a modest lean. Projected score MTL 2.42.6 DAL; 18% chance it's tied after 60.

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

Tale of the tape

MTL← edge
edge →DAL
48.0%5v5 xG%51.0%
49.0%Corsi%47.0%
2.41xGF / 602.36
2.62xGA / 602.29
2.24Goals for / gm2.07
1.96Goals against / gm1.68
1.018PDO — luck, not skill1.024

The season numbers split 33 — no clear process edge — and PDO (1.018 vs 1.024) says DAL has run hotter.

Source · MoneyPuck season tables · 5v5

Dallas enters as a modest favorite—the model projects a 2.4–2.6 goal game with the Stars at 55% win probability. This is about as close to a pick'em as you'll find.

The underlying play belongs to Dallas. The Stars own 51.0% of the 5v5 expected goals against Montreal's 48.0%, a margin that should translate to sustained pressure. Montreal, meanwhile, holds a slight edge in shot volume: 49.0% Corsi against Dallas's 47.0%. That's the fundamental tension—Dallas generates more dangerous chances; Montreal controls the puck more often. One favors Dallas's forwards, the other Montreal's defensemen, and neither is dispositive on its own.

Both teams are running hot and unsustainably so. Dallas sits at 1.024 PDO, Montreal at 1.018—both inflated by shooting luck and goaltending performance that should normalize downward. Expect regression from both.

Cole Caufield is Montreal's engine: 33 goals on 0.97 expected goals per 60 minutes, shooting at 20.0%. That rate performs exactly as five-on-five projections suggest, which means he's neither collapsing nor due for a breakout—just consistent. Oliver Kapanen sits lower in volume (19 goals, 0.83 xG/60) but owns a 17.8% shooting rate, a threshold that typically declines toward league average.

Dallas counters with Jason Robertson (25 goals, 0.96 xG/60) and Michael Bunting (8 goals, 0.83 xG/60). Robertson's expected-goal rate mirrors Caufield's almost exactly. Bunting is simply underproductive at 7.6% shooting—positive regression is coming.

Both Montreal's Mike Matheson and Dallas's Tyler Myers represent defensive liabilities, though the granular data is thin: both teams show 0% high-danger and 0% rebound goals, which suggests sample-size noise in chance categorization rather than structural weakness.

J. Fowler lands on a back-to-back, worth monitoring for either a backup appearance or diminished performance from fatigue.

This is genuinely even. Dallas's expected-goal edge might tip them toward victory, but Montreal's puck possession and Caufield's reliability make an upset entirely plausible. Lean Dallas, but with low conviction.

Computed danger · scouting

Players to watch

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
DAL
Jason Robertson25G 21A
0.96 xG/60 · 2 HD · 12.4% sh
Michael Bunting8G 14A
0.83 xG/60 · 0 HD · 7.6% sh
Source · MoneyPuck skaters