Backcheck
Recap · MTL at NYR

Canadiens run the Rangers off the ice on the underlying numbers

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

By the ModelJul 12, 9:58 AMxG: xgboost-0.758Edited for clarity
Away
MTL
Montreal Canadiens
3
Home
NYR
New York Rangers
2
FINAL
Process vs result

The underlying story

4.44Expected goals2.78
62% share for the better side
25Shot attempts (SOG)24
6High-danger chances2
45Corsi (all attempts)56
Score-adjusted: 41% / 59%
Source · NHL play-by-play · XGBoost xG

The Canadiens edged the Rangers 3-2, but their dominance in underlying metrics was far greater than the scoreboard suggests. Montreal controlled 62% of 5v5 expected goals (4.44–2.78), a gap nearly triple their one-goal victory margin.

The Rangers generated volume without threat. Despite holding 49% of shot attempts (25–24), they created inferior chances: 0.050 xG per shot versus Montreal's 0.099. On high-danger opportunities, the gap widened further—Montreal six, New York two.

Yet Montreal couldn't convert premium chances into goals, going 0 for 6 on high-danger looks while underperforming their xG by 1.44 goals. I. Shesterkin was perfect on those chances, stopping all six high-danger shots and posting 1.44 above expected, a performance that kept the Rangers in a game they were otherwise thoroughly outplayed in.

Where Montreal overcame its finishing woes was on the rush. Three goals on 27 rush chances represented a lethal efficiency that offset their wastefulness in the slot. That was the game's deciding factor.

J. Fowler gave Montreal a reliable net, posting a 0.917 save percentage and 0.78 above expected. The Rangers pressed the issue with active rebound work—four opportunities generated—but converted none.

Cole Caufield's wrist shot from the high slot at 14:55 of the third punctuated Montreal's domination, the moment that settled a match already decided by underlying play.

The narrative is plain: Montreal's 62% xG share understates their control. They crushed New York on chance quality and volume, forced Shesterkin into a near-perfect performance, and still left multiple goals unconverted. This was not a close game played through the lens of shot quality—it was a domination interrupted only by erratic finishing.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MTL0 / 6 · 2.49 xG
NYR0 / 2 · 0.40 xG
Medium dangermid-range
MTL2 / 16 · 1.55 xG
NYR2 / 17 · 1.66 xG
Low dangerperimeter & point
MTL1 / 23 · 0.40 xG
NYR0 / 37 · 0.72 xG

MTL went 0-for-6 from high danger on 2.49 expected goals — 2.5 left on the table.

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

Finishing vs expected

expectedactual
MTL
3 G · 4.44 xG · -1.4
NYR
2 G · 2.78 xG · -0.8
012345
Goalies · GSAx (goals saved above expected)
J. FowlerMTL
+0.8
I. ShesterkinNYR
+1.4

MTL finished -1.4 against expected, NYR -0.8 — I. Shesterkin (NYR) saved 1.4 goals above expected.

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

Shot diet

goalsshots
MTL
WRIST1/16
SNAP1/7
SLAP1/8
TIP IN0/5
DEFLECTED0/0
BACKHAND0/2
OTHER0/7
NYR
WRIST0/17
SNAP1/13
SLAP0/6
TIP IN0/3
DEFLECTED1/4
BACKHAND0/0
OTHER0/13
MTL
NYR
Off the rush
3 G on 27 · 2.36 xG
1 G on 24 · 1.59 xG
Off rebounds
0 G on 2 · 0.64 xG
0 G on 4 · 0.68 xG

Wrist shots carried the volume: MTL went 1-for-16, NYR 0-for-17. MTL scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
N. Suzuki
#14 · C · MTL
0 G · 2 A · 1 SOG · 21:17 TOI · +2
C. Caufield
#13 · R · MTL
2 G · 0 A · 7 SOG · 16:20 TOI · +2
M. Matheson
#8 · D · MTL
0 G · 1 A · 0 SOG · 23:22 TOI
Ranked from the box score — points first · Backcheck
What the model flagged
  • NYR had the shot volume but the chances weren't dangerous.
  • I. Shesterkin (NYR) stopped 1.4 goals above expected.
  • MTL had the higher quality looks — 0.099 xG/shot vs 0.050.
  • MTL couldn't convert — 0/6 on high-danger chances. That won't happen often.
  • MTL was lethal off the rush — 3 goals on 27 rush chances.
  • NYR created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • I. Shesterkin was a wall on HD chances — 100% SV on 6 high-danger shots.
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 12, 9:56 AMEdited 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 has nearly zero conviction here: MTL 2.4–2.6 NYR, Rangers at 53% win probability. This is as close to a pick'em as you'll find.

The Canadiens have momentum—7-3-0 in their last ten—while the Rangers are steady. But the season 5v5 picture is a dead heat: both teams sit at 48.0% xG% and 49.0% Corsi%, meaning neither has a structural advantage in shot quality or volume.

Where Montreal gains ground is small-sample volatility. The Canadiens' 1.018 PDO signals a team running hot; New York's 1.009 sits closer to neutral. That gap suggests MTL has benefited more from puck luck—and puck luck doesn't sustain.

Cole Caufield anchors Montreal's attack: 0.97 xG/60, 33 goals, 16 assists, one high-danger goal, 20.0% shooting. His conversion rate is sustainable at his volume. Oliver Kapanen provides secondary production (0.83 xG/60, 19 goals, 12 assists, four high-danger goals), maximizing his high-danger opportunities.

New York's Gabe Perreault (0.79 xG/60, 8 goals, 11 assists, two high-danger goals, 13.1% shooting) operates at a durable pace and distributes effectively. Adam Sykora (0.91 xG/60, 3 goals, 1 assist, 20.0% shooting) generates volume off limited playing time.

Defensively, both teams have soft spots. Montreal's Mike Matheson carries vulnerability; New York has Vincent Iorio struggling. Neither runs a shutdown pairing that changes the game state.

The peripherals suggest true parity. New York's slight edge in win probability (53%) aligns with a lower PDO—more room to improve without additional luck. Montreal has short-term form and hot shot-making, but regression looms.

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