Backcheck
Recap · TOR at LAK

Kings run the Maple Leafs off the ice on the underlying numbers

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

By the ModelJul 12, 10:23 AMxG: xgboost-0.758Edited for clarity
Away
TOR
Toronto Maple Leafs
6
Home
LAK
Los Angeles Kings
7
FINAL / OT
Process vs result

The underlying story

2.56Expected goals5.49
68% share for the better side
20Shot attempts (SOG)40
5High-danger chances5
45Corsi (all attempts)85
Score-adjusted: 33% / 67%
Source · NHL play-by-play · XGBoost xG

The Kings' 7-6 overtime victory understates their dominance. They generated 68% of expected goals (5.49–2.56), a measure of shot quality, and held 67% of shot attempts (40–20). Yet this 14-point margin compressed to a one-goal scoreboard win—a gap that points to a single culprit: Toronto got exceptionally lucky. The Leafs outperformed their xG by 3.44 goals; the Kings added just 1.51 to theirs.

Toronto's conversion in high-danger areas drove the luck. They buried 2 of 5 prime scoring chances (40%), a rate far above typical. Off the rush, they were equally sharp: 5 goals on 21 attempts, a finish rate that overcomes territorial disadvantage.

The goaltending metrics isolate the variance. J. Woll saved 33 of 40 shots at 0.825 SV%, a mark 1.51 goals below expectation given shot volume. D. Kuemper stopped 14 of 20 at 0.700 SV%, missing expectation by 3.44 despite lighter traffic. Low-danger shooting benefited Los Angeles—2 goals from spots where conversion typically fails. The Kings also created 7 rebound opportunities to Toronto's 3, a net-front advantage that surfaced on the scoreboard despite their broader underlying margin.

Quinton Byfield ended it at 02:33 of overtime with a wrist shot from the slot.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
TOR2 / 5 · 1.15 xG
LAK1 / 5 · 1.08 xG
Medium dangermid-range
TOR4 / 10 · 0.99 xG
LAK4 / 29 · 3.25 xG
Low dangerperimeter & point
TOR0 / 30 · 0.43 xG
LAK2 / 51 · 1.15 xG

TOR went 4-for-10 from medium danger on 0.99 expected goals — 3.0 above expected.

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

Finishing vs expected

expectedactual
TOR
6 G · 2.56 xG · +3.4
LAK
7 G · 5.49 xG · +1.5
012345678
Goalies · GSAx (goals saved above expected)
J. WollTOR
-1.5
D. KuemperLAK
-3.4

TOR finished +3.4 against expected, LAK +1.5 — D. Kuemper (LAK) allowed 3.4 more goals than expected.

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

Shot diet

goalsshots
TOR
WRIST4/23
TIP IN0/2
SLAP0/0
SNAP2/4
BACKHAND0/2
POKE0/0
OTHER0/14
LAK
WRIST4/41
TIP IN2/10
SLAP0/10
SNAP1/4
BACKHAND0/1
POKE0/1
OTHER0/18
TOR
LAK
Off the rush
5 G on 21 · 1.94 xG
7 G on 42 · 3.55 xG
Off rebounds
1 G on 3 · 0.49 xG
0 G on 7 · 1.26 xG

Wrist shots carried the volume: TOR went 4-for-23, LAK 4-for-41. LAK scored 7 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. Kempe
#9 · R · LAK
2 G · 2 A · 7 SOG · 20:02 TOI · +1
M. Knies
#23 · L · TOR
2 G · 2 A · 2 SOG · 19:44 TOI · +1
A. Panarin
#10 · L · LAK
1 G · 2 A · 5 SOG · 22:19 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • J. Woll (TOR) gave up 1.5 goals more than expected — well below their workload.
  • TOR was clinical in the high-danger zone — 2/5 on HD chances (40%).
  • LAK scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • LAK was lethal off the rush — 7 goals on 42 rush chances.
  • TOR was lethal off the rush — 5 goals on 21 rush chances.
  • LAK created 7 rebound opportunities (0 converted) — crashing the net effectively.
  • TOR created 3 rebound opportunities (1 converted) — crashing the net effectively.
  • LAK outperformed their expected goals by 1.5 — elite finishing or lucky bounces.
  • TOR outperformed their expected goals by 3.4 — elite finishing or lucky bounces.
Before the game — the model's pre-game read
Preview · TOR at LAK · 7:00 PM ET

The Kings are the model's lean over the Maple Leafs on the underlying numbers

By the ModelJul 12, 10:20 AMEdited for clarity
Win probability

The model's lean

58%
LAK
Model favorite
42%
58%
TOR50LAK

LAK by 16 points of win probability — a clear lean. Projected score TOR 2.22.7 LAK; 18% chance it's tied after 60.

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

Tale of the tape

TOR← edge
edge →LAK
46.0%5v5 xG%52.0%
45.0%Corsi%52.0%
2.24xGF / 602.42
2.67xGA / 602.20
2.09Goals for / gm1.85
2.52Goals against / gm1.71
1.002PDO — luck, not skill1.002

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

Source · MoneyPuck season tables · 5v5

Los Angeles holds a 58% win probability according to the projection model, which forecasts a 2.2–2.7 goal game. The Kings' edge rests on play quality, not recent results.

At five-on-five, the Kings generate 52.0% expected goals and control 52.0% of shot attempts by Corsi—both 6 points clear of Toronto's 46.0% xG and 45.0% Corsi. This is sustained territorial dominance. Both teams show identical 1.002 PDO, so neither has benefited from goaltending luck or shooting variance offsetting this gap.

Both squads arrive depleted. Toronto has minus-8 goal differential over their last 10 games; Los Angeles is minus-5. The possession edge should matter more than either team's stumble.

Goaltending uncertainty adds a complication. D. Kuemper plays a back-to-back for the Kings; A. Stolarz does the same in Toronto. Either could resort to a backup or risk a tired starter.

Auston Matthews powers Toronto's offense at 1.10 xG per 60 minutes, having posted 17 goals and 13 assists, but he has not played in 23 days and is likely unavailable. John Tavares steps into a lead role at 0.91 xG/60, with 15 goals and 24 assists. His 12.4% shooting rate suggests he's running hot above his underlying volume.

Los Angeles leans on Alex Laferriere at 0.87 xG/60, with 16 goals and 18 assists. Jared Wright supplies depth at 0.83 xG/60, though he remains without a goal across four assists.

The model predicts the Kings' superior play should yield a tight, low-scoring win.

Data: MoneyPuck 5v5 models, NHL API

Computed danger · scouting

Players to watch

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
LAK
Alex Laferriere16G 18A
0.87 xG/60 · 2 HD · 9.9% sh
Jared Wright0G 4A
0.83 xG/60 · 0 HD · 0.0% sh
Source · MoneyPuck skaters