Backcheck
Recap · NYI at MTL

Islanders edge the Canadiens in overtime

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

By the ModelJul 12, 4:34 AMxG: xgboost-0.758Edited for clarity
Away
NYI
New York Islanders
4
Home
MTL
Montreal Canadiens
3
FINAL / OT
Process vs result

The underlying story

4.18Expected goals3.23
56% share for the better side
26Shot attempts (SOG)25
7High-danger chances3
63Corsi (all attempts)57
Score-adjusted: 56% / 44%
Source · NHL play-by-play · XGBoost xG

The Islanders' 4-3 overtime victory understated their dominance—they controlled 56% of 5v5 expected goals (4.18–3.23) and claimed high-danger chances 7–3.

New York thrived on the rush, generating four goals from 31 attempts. Montreal scored twice from low-danger spots—opportunities that typically fail to convert—but still fell short. Both teams' power plays produced two goals on comparable looks (NYI 2 on 6 shots, 1.06 xG; MTL 2 on 8 shots, 1.17 xG).

Jean-Gabriel Pageau scored at 01:46 of overtime with a backhander from the slot.

I. Sorokin (NYI) made 22 of 25 saves (0.880 SV%). S. Montembeault (MTL) stopped 22 of 26 (0.846 SV%).

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
NYI2 / 7 · 1.84 xG
MTL1 / 3 · 0.97 xG
Medium dangermid-range
NYI1 / 17 · 1.87 xG
MTL0 / 15 · 1.71 xG
Low dangerperimeter & point
NYI1 / 39 · 0.47 xG
MTL2 / 39 · 0.55 xG

MTL went 0-for-15 from medium danger on 1.71 expected goals — 1.7 left on the table.

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

Finishing vs expected

expectedactual
NYI
4 G · 4.18 xG · -0.2
MTL
3 G · 3.23 xG · -0.2
012345
Goalies · GSAx (goals saved above expected)
I. SorokinNYI
+0.2
S. MontembeaultMTL
+0.2

NYI finished -0.2 against expected, MTL -0.2 — I. Sorokin (NYI) saved 0.2 goals above expected.

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

Shot diet

goalsshots
NYI
SNAP2/27
BACKHAND1/6
SLAP0/4
WRIST0/3
TIP IN0/2
DEFLECTED1/1
OTHER0/20
MTL
SNAP2/21
BACKHAND0/6
SLAP1/5
WRIST0/2
TIP IN0/2
DEFLECTED0/0
OTHER0/21
NYI
MTL
Off the rush
4 G on 31 · 3.50 xG
1 G on 25 · 2.22 xG
Off rebounds
0 G on 3 · 0.30 xG
1 G on 3 · 0.73 xG

Snap shots carried the volume: NYI went 2-for-27, MTL 2-for-21. NYI scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Schaefer
#48 · D · NYI
2 G · 0 A · 3 SOG · 25:56 TOI · +1
N. Dobson
#53 · D · MTL
2 G · 0 A · 3 SOG · 21:54 TOI · -2
S. Holmstrom
#10 · R · NYI
0 G · 2 A · 1 SOG · 16:02 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • MTL scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • NYI was lethal off the rush — 4 goals on 31 rush chances.
  • MTL created 3 rebound opportunities (1 converted) — crashing the net effectively.
  • NYI created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • MTL power play was dominant — 2 PPG on 8 PP shots (1.17 xG).
  • NYI power play was dominant — 2 PPG on 6 PP shots (1.06 xG).
Before the game — the model's pre-game read
Preview · NYI at MTL · 7:00 PM ET

Islanders at Canadiens: a genuine coin flip

By the ModelJul 12, 4:29 AMEdited for clarity
Win probability

The model's lean

52%
MTL
Model favorite
48%
52%
NYI50MTL

MTL by 4 points of win probability — effectively a coin flip. Projected score NYI 2.52.7 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

NYI← edge
edge →MTL
48.0%5v5 xG%48.0%
49.0%Corsi%49.0%
2.48xGF / 602.41
2.69xGA / 602.62
1.78Goals for / gm2.24
1.94Goals against / gm1.96
0.993PDO — luck, not skill1.018

MTL holds 4 of 6 process categories — and PDO (0.993 vs 1.018) says MTL has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.5–2.7 goal Canadiens win with Montreal at 52% probability. This is as close to a pick'em as you'll find in the regular season.

The numbers explain why. Both teams carry identical 5v5 underlying metrics: 48.0% xG%, 49.0% Corsi%. Over the course of a season, that kind of parity produces exactly this—a genuine toss-up, decided by the margins that accumulate in small samples.

The separation appears in the conversion layer. Montreal's PDO sits at 1.018, running hot; the Islanders' is 0.993, running cold. Regression comes eventually, but tonight the advantage belongs to Montreal.

Cole Caufield is the highest-leverage player on the ice. He's at 0.97 xG/60 with 33 goals and 16 assists, shooting 20.0%—elite efficiency on elite volume. His partner Oliver Kapanen adds 0.83 xG/60 with 19 goals on 17.8% shooting; Montreal's depth scoring is both reliable and dangerous.

The Islanders counter with Anders Lee (1.20 xG/60, 9 goals, 20 assists, 2 high-danger goals) and Bo Horvat (0.87 xG/60, 18 goals on 12.8% shooting, 3 high-danger goals). Lee's underlying rate is high; his goal total reflects the value he creates. Horvat's conversion rate is sharp enough to trouble any goaltender.

Both teams show identical 0% rates on high-danger and rebound goals, which suggests either extreme defensive discipline or statistical variance in small samples. Treat these as signals, not certainties.

The Islanders' defensive weak link is Alexander Romanov; Montreal's is Mike Matheson. In a game this close, those vulnerabilities are where the other team's best forwards will press their advantage.

Computed danger · scouting

Players to watch

NYI
Anders Lee9G 20A
1.20 xG/60 · 2 HD · 6.4% sh
Bo Horvat18G 10A
0.87 xG/60 · 3 HD · 12.8% 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