Backcheck
Recap · MTL at NYR

Rangers run the Canadiens off the ice on the underlying numbers

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

By the ModelJul 11, 8:13 PMxG: xgboost-0.758Edited for clarity
Away
MTL
Montreal Canadiens
4
Home
NYR
New York Rangers
5
FINAL / OT
Process vs result

The underlying story

2.63Expected goals5.08
66% share for the better side
18Shot attempts (SOG)29
2High-danger chances8
56Corsi (all attempts)77
Score-adjusted: 40% / 60%
Source · NHL play-by-play · XGBoost xG

The Rangers' 5-4 overtime victory understated their control. They dominated expected goals (5.08–2.63), holding 66% of the chances, yet won by just one goal because Montreal overperformed its xG by 1.37.

New York held 62% of shot attempts (29–18 on goal) and generated far more dangerous scoring chances: 8 high-danger opportunities to Montreal's 2. More tellingly, New York's shots were worth 0.066 expected goals each, while Montreal's averaged 0.047—quality mattered more than volume.

Where Montreal threatened was the rush. The Canadiens scored 4 goals on 26 rush chances, a conversion rate that extended the game. New York crashed the net relentlessly: they created 8 rebound opportunities and converted 4.

I. Shesterkin (NYR) allowed 1.37 more goals than expected given his workload. J. Fowler (MTL) made 24 saves on 29 shots in defeat.

New York's power play was the difference: 2 goals on 14 shots (1.70 xG) gave them the edge five-on-five couldn't provide. J.T. Miller's slap shot from the high slot at 02:56 of overtime capped a dominant underlying performance.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MTL0 / 2 · 0.53 xG
NYR3 / 8 · 1.89 xG
Medium dangermid-range
MTL3 / 14 · 1.65 xG
NYR2 / 22 · 2.59 xG
Low dangerperimeter & point
MTL1 / 40 · 0.45 xG
NYR0 / 47 · 0.59 xG

MTL went 3-for-14 from medium danger on 1.65 expected goals — 1.4 above expected.

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

Finishing vs expected

expectedactual
MTL
4 G · 2.63 xG · +1.4
NYR
5 G · 5.08 xG · -0.1
0123456
Goalies · GSAx (goals saved above expected)
J. FowlerMTL
+0.1
I. ShesterkinNYR
-1.4

MTL finished +1.4 against expected, NYR -0.1 — I. Shesterkin (NYR) allowed 1.4 more goals than expected.

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

Shot diet

goalsshots
MTL
WRIST2/14
SNAP1/10
SLAP1/6
DEFLECTED0/1
BACKHAND0/3
TIP IN0/2
BAT0/0
POKE0/0
OTHER0/20
NYR
WRIST3/24
SNAP0/13
SLAP1/5
DEFLECTED0/7
BACKHAND1/1
TIP IN0/1
BAT0/2
POKE0/1
OTHER0/23
MTL
NYR
Off the rush
4 G on 26 · 2.25 xG
1 G on 29 · 3.26 xG
Off rebounds
0 G on 1 · 0.15 xG
4 G on 8 · 1.35 xG

Wrist shots carried the volume: MTL went 2-for-14, NYR 3-for-24. MTL scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
L. Hutson
#48 · D · MTL
0 G · 2 A · 0 SOG · 26:58 TOI · +1
N. Suzuki
#14 · C · MTL
0 G · 2 A · 1 SOG · 24:33 TOI · +1
J. Miller
#8 · C · NYR
2 G · 0 A · 3 SOG · 20:54 TOI
Ranked from the box score — points first · Backcheck
What the model flagged
  • I. Shesterkin (NYR) gave up 1.4 goals more than expected — well below their workload.
  • NYR generated far more dangerous chances — 0.066 xG/shot vs 0.047. Quality over quantity.
  • MTL was lethal off the rush — 4 goals on 26 rush chances.
  • NYR created 8 rebound opportunities (4 converted) — crashing the net effectively.
  • NYR power play was dominant — 2 PPG on 14 PP shots (1.70 xG).
Before the game — the model's pre-game read
Preview · MTL at NYR · 7:00 PM ET

Canadiens at Rangers: a genuine coin flip

By the ModelJul 11, 8:11 PMEdited for clarity
Win probability

The model's lean

53%
NYR
Model favorite
47%
53%
MTL50NYR

NYR by 6 points of win probability — a modest lean. Projected score MTL 2.42.6 NYR; 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 →NYR
48.0%5v5 xG%48.0%
49.0%Corsi%49.0%
2.41xGF / 602.26
2.62xGA / 602.40
2.24Goals for / gm1.88
1.96Goals against / gm1.90
1.018PDO — luck, not skill1.009

NYR holds 4 of 6 process categories — and PDO (1.018 vs 1.009) says MTL has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.4–2.6 goal range and slots the Rangers at 53% win probability. This is about as close to a pick'em as you'll find.

Both teams sit at 48.0% xG% and 49.0% Corsi%—parity on the two metrics that matter most. Montreal's slight possession edge doesn't move the needle. The Rangers' 3-point win probability advantage reflects calculation, not conviction.

What separates them is luck. Montreal's PDO of 1.018 means they're running hot on both ends—save percentage and shooting accuracy inflated above sustainable levels. Regression is coming. New York's 1.009 sits nearer equilibrium, positioning them to maintain their current pace.

Montreal's offense centers on Cole Caufield: 0.97 xG per 60, 33 goals, and 16 assists. The catch is his 20.0% shooting rate will normalize downward. Worse, the Canadiens have generated just 1 high-danger goal all season—a structural limitation that even Caufield can't overcome. Oliver Kapanen (0.83 xG/60, 19G 12A, 4 HD goals) shoots at a more sustainable 17.8%, suggesting Montreal's offensive spacing is fine; execution is the variable that'll regress.

New York's Adam Sykora logs 0.91 xG per 60 but has converted only 3 goals—a 20.0% shooting clip that screams underperformance. Gabe Perreault (0.79 xG/60, 8G 11A, 2 HD goals, 13.1% shooting) offers steadier secondary depth, paired with efficiency that's likely to hold.

Defensively, both teams bleed. Montreal's Mike Matheson has been consistently targeted; New York's Vincent Iorio presents similar exposure. These soft spots will get hunted.

The wrinkle: J. Fowler takes the back-to-back for New York, raising the prospect of either fatigue on the starter or a backup deployment. Either scenario clouds the projection.

The model's 53% Rangers edge is defensible but threadbare. In a game this symmetric, assignment of probability is almost noise. Call it a true coin flip and move on.

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
NYR
Adam Sykora3G 1A
0.91 xG/60 · 0 HD · 20.0% sh
Gabe Perreault8G 11A
0.79 xG/60 · 2 HD · 13.1% sh
Source · MoneyPuck skaters