Backcheck
Recap · NYR at TOR

Maple Leafs steal one from the Rangers against the run of play

The Maple Leafs stole one. They lost the expected-goals battle 4.60–2.04 and won anyway.

By the ModelJul 12, 8:52 AMxG: xgboost-0.758Edited for clarity
Away
NYR
New York Rangers
3
Home
TOR
Toronto Maple Leafs
4
FINAL
Process vs result

The underlying story

4.60Expected goals2.04
69% share for the better side
43Shot attempts (SOG)18
7High-danger chances2
78Corsi (all attempts)40
Score-adjusted: 71% / 30%
Source · NHL play-by-play · XGBoost xG

The Maple Leafs won 4-3 despite losing the expected-goals battle 2.04–4.60, a 31–69 split that exemplifies how a night can diverge from underlying quality. Toronto controlled 30% of shot attempts and only 2 of the game's 9 high-danger chances. The Rangers played better. It didn't matter.

J. Woll salvaged the result. The Maple Leafs goalie saved 1.60 goals above expected—his performance alone bridging the gap between what the Rangers dominated and what the scoreboard reflected. I. Shesterkin, by contrast, surrendered 1.96 more than expected, his substantial workload compounded by missing chances it created.

Toronto's precision masked a deeper deficit. The Maple Leafs scored twice from low-danger areas, shots the opposing goalie had to have. On the rush, they converted 3 of 16 chances while the Rangers—despite generating identical rush-goal output—required 43 attempts to score the same three. That disparity reveals the game's architecture: Toronto succeeded through economy; New York through volume.

The Rangers' power play offered the clearest dominance metric—2 goals on 15 shots (1.13 xG), a clinical operation suggesting control in the moments teams value most. Yet it proved insufficient when 5-on-5 play favored them so decidedly.

This was a variance game won by the team that maximized its thin slice of possession. The Maple Leafs did not earn the result. They took it.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
NYR2 / 7 · 1.79 xG
TOR0 / 2 · 0.56 xG
Medium dangermid-range
NYR1 / 16 · 1.75 xG
TOR2 / 9 · 1.09 xG
Low dangerperimeter & point
NYR0 / 55 · 1.07 xG
TOR2 / 29 · 0.38 xG

TOR went 2-for-29 from low danger on 0.38 expected goals — 1.6 above expected.

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

Finishing vs expected

expectedactual
NYR
3 G · 4.60 xG · -1.6
TOR
4 G · 2.04 xG · +2.0
012345
Goalies · GSAx (goals saved above expected)
I. ShesterkinNYR
-2.0
J. WollTOR
+1.6

NYR finished -1.6 against expected, TOR +2.0 — I. Shesterkin (NYR) allowed 2.0 more goals than expected.

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

Shot diet

goalsshots
NYR
WRIST1/32
SNAP1/8
TIP IN0/9
BACKHAND1/3
SLAP0/6
DEFLECTED0/1
OTHER0/19
TOR
WRIST3/15
SNAP1/5
TIP IN0/2
BACKHAND0/5
SLAP0/0
DEFLECTED0/0
OTHER0/13
NYR
TOR
Off the rush
3 G on 43 · 3.13 xG
3 G on 16 · 1.57 xG
Off rebounds
0 G on 4 · 1.07 xG
1 G on 2 · 0.30 xG

Wrist shots carried the volume: NYR went 1-for-32, TOR 3-for-15. NYR scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. Lafrenière
#13 · L · NYR
1 G · 2 A · 7 SOG · 21:06 TOI
A. Fox
#23 · D · NYR
0 G · 2 A · 1 SOG · 25:53 TOI · -2
M. Zibanejad
#93 · C · NYR
2 G · 0 A · 10 SOG · 22:12 TOI
Ranked from the box score — points first · Backcheck
What the model flagged
  • TOR won despite being outplayed by xG (31%). Goaltending or finishing carried them.
  • J. Woll (TOR) stopped 1.6 goals above expected.
  • I. Shesterkin (NYR) gave up 2.0 goals more than expected — well below their workload.
  • TOR scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • TOR was lethal off the rush — 3 goals on 16 rush chances.
  • NYR was lethal off the rush — 3 goals on 43 rush chances.
  • NYR created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • TOR outperformed their expected goals by 2.0 — elite finishing or lucky bounces.
  • NYR underperformed xG by 1.6 — wasted quality chances.
  • J. Woll (TOR) saved 1.6 goals above expected — stole the show.
  • NYR power play was dominant — 2 PPG on 15 PP shots (1.13 xG).
Before the game — the model's pre-game read
Preview · NYR at TOR · 7:30 PM ET

Rangers at Maple Leafs: a genuine coin flip

By the ModelJul 12, 8:49 AMEdited for clarity
Win probability

The model's lean

51%
NYR
Model favorite
51%
49%
NYR50TOR

NYR by 2 points of win probability — effectively a coin flip. Projected score NYR 2.52.4 TOR; 19% chance it's tied after 60.

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

Tale of the tape

NYR← edge
edge →TOR
48.0%5v5 xG%46.0%
49.0%Corsi%45.0%
2.26xGF / 602.24
2.40xGA / 602.67
1.88Goals for / gm2.09
1.90Goals against / gm2.52
1.009PDO — luck, not skill1.002

NYR holds 5 of 6 process categories — and PDO (1.009 vs 1.002) says NYR has run hotter.

Source · MoneyPuck season tables · 5v5

This is a pick 'em. The model projects a 2.5–2.4 Rangers win expectation with the Rangers at 50% win probability, which means the data sees no clear favorite.

The Rangers possess slight territorial advantages across multiple metrics. Their xG% sits at 48.0% to Toronto's 46.0%, and they push Corsi at 49.0% compared to the Leafs' 45.0%. Expect the Rangers to dictate possession, though neither team's PDO (Rangers 1.009, Leafs 1.002) suggests luck has swung dramatically either way.

Shot quality favors Toronto. Auston Matthews registers 1.10 xG/60 with 17G 13A and 1 HD goal on 10.6% shooting. John Tavares generates 0.91 xG/60 with 15G 24A and 3 HD goals on 12.4% shooting. The Rangers counter with Adam Sykora at 0.91 xG/60 with 3G 1A on 20.0% shooting, though that efficiency looks unsustainable. Gabe Perreault operates at 0.79 xG/60 with 8G 11A and 2 HD goals on 13.1% shooting.

The Rangers show a 0% high-danger goal rate and 0% rebound goal rate; Toronto matches both figures. Vincent Iorio represents a defensive weak link for New York; Bo Groulx does the same for Toronto.

The game hinges on possession versus shot quality. The Rangers control play; Toronto makes the most of limited chances. At 50% win probability, the model sees both as equal paths to victory.

Computed danger · scouting

Players to watch

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
TOR
Auston Matthews17G 13A
1.10 xG/60 · 1 HD · 10.6% sh
John Tavares15G 24A
0.91 xG/60 · 3 HD · 12.4% sh
Source · MoneyPuck skaters