Backcheck
Recap · TOR at CAR

Maple Leafs pull away from the Hurricanes

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

By the ModelJul 11, 6:56 PMxG: xgboost-0.758Edited for clarity
Away
TOR
Toronto Maple Leafs
5
Home
CAR
Carolina Hurricanes
1
FINAL
Process vs result

The underlying story

4.77Expected goals4.28
53% share for the better side
24Shot attempts (SOG)33
8High-danger chances7
39Corsi (all attempts)79
Score-adjusted: 27% / 73%
Source · NHL play-by-play · XGBoost xG

Toronto's 5-1 victory over Carolina masked a much tighter underlying game. Expected goals split 4.28–4.77 in Toronto's favor—less than half a goal apart—yet the scoreboard showed a four-goal chasm.

The Hurricanes dominated possession, holding 58% of shot attempts with 33 shots on goal to Toronto's 24. High-danger chances split 7–8 (Carolina to Toronto), statistically even. The issue wasn't volume; it was precision. Carolina scored zero on seven high-danger opportunities, underperforming their 4.28 xG by 3.28 goals.

Toronto's edge was efficiency. The Maple Leafs generated 0.122 expected goals per shot versus Carolina's 0.054—more than double. Off the rush, it showed: five goals on 23 attempts, a conversion rate that turned an even game into a rout. Bobby McMann's backhander from a sharp angle at 18:16 of the third period provided the cushion.

Goaltending deepened the margin. D. Hildeby stopped all seven high-danger chances he faced, posting 1.000 with a +1.17 goals-saved-above-expected mark. J. Woll saved 2.11 above expected on 23 stops. F. Andersen allowed 0.77 above expected with a 0.826 save percentage.

M. Knies (1G, 1A in 18:04), M. Domi (2A in 14:52), and N. Roy (2A in 14:36) orchestrated the offense.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
TOR2 / 8 · 2.73 xG
CAR0 / 7 · 1.84 xG
Medium dangermid-range
TOR2 / 16 · 1.81 xG
CAR1 / 16 · 1.51 xG
Low dangerperimeter & point
TOR1 / 15 · 0.23 xG
CAR0 / 56 · 0.93 xG

CAR went 0-for-7 from high danger on 1.84 expected goals — 1.8 left on the table.

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

Finishing vs expected

expectedactual
TOR
5 G · 4.77 xG · +0.2
CAR
1 G · 4.28 xG · -3.3
0123456
Goalies · GSAx (goals saved above expected)
D. HildebyTOR
+1.2
J. WollTOR
+2.1
F. AndersenCAR
+0.8

TOR finished +0.2 against expected, CAR -3.3 — J. Woll (TOR) saved 2.1 goals above expected.

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

Shot diet

goalsshots
TOR
SNAP3/12
WRIST0/12
SLAP0/1
TIP IN0/5
BACKHAND2/3
DEFLECTED0/0
OTHER0/6
CAR
SNAP1/27
WRIST0/6
SLAP0/12
TIP IN0/6
BACKHAND0/2
DEFLECTED0/2
OTHER0/24
TOR
CAR
Off the rush
5 G on 23 · 3.23 xG
1 G on 40 · 3.73 xG
Off rebounds
0 G on 4 · 0.61 xG
0 G on 1 · 0.23 xG

Snap shots carried the volume: TOR went 3-for-12, CAR 1-for-27. TOR scored 5 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Knies
#23 · L · TOR
1 G · 1 A · 3 SOG · 18:04 TOI · +2
M. Domi
#11 · C · TOR
0 G · 2 A · 1 SOG · 14:52 TOI · +2
N. Roy
#55 · C · TOR
0 G · 2 A · 1 SOG · 14:36 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • CAR had the shot volume but the chances weren't dangerous.
  • D. Hildeby (TOR) stopped 1.2 goals above expected.
  • Open game — 15 high-danger chances combined (CAR 7, TOR 8).
  • TOR had the higher quality looks — 0.122 xG/shot vs 0.054.
  • CAR couldn't convert — 0/7 on high-danger chances. That won't happen often.
  • TOR was lethal off the rush — 5 goals on 23 rush chances.
  • TOR created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • CAR underperformed xG by 3.3 — wasted quality chances.
  • D. Hildeby (TOR) saved 4.3 goals above expected — stole the show.
  • D. Hildeby was a wall on HD chances — 100% SV on 7 high-danger shots.
  • J. Woll (TOR) saved 3.3 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · TOR at CAR · 7:00 PM ET

The Hurricanes are the model's lean over the Maple Leafs — with PDO regression in play

By the ModelJul 11, 6:54 PMEdited for clarity
Win probability

The model's lean

62%
CAR
Model favorite
38%
62%
TOR50CAR

CAR by 24 points of win probability — a clear lean. Projected score TOR 2.33.0 CAR; 17% 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 →CAR
46.0%5v5 xG%56.0%
45.0%Corsi%60.0%
2.24xGF / 602.98
2.67xGA / 602.31
2.09Goals for / gm2.26
2.52Goals against / gm1.95
1.002PDO — luck, not skill0.984

CAR holds 6 of 6 process categories — and PDO (1.002 vs 0.984) says TOR has run hotter.

Source · MoneyPuck season tables · 5v5

Carolina owns this matchup by the numbers, and a tired Toronto starter gives them another edge.

The model projects a 2.3-to-3.0 Hurricanes win at 62% probability. That's dominance in the underlying play finally pricing into expected results.

Start with possession. Carolina generates 56.0% of expected goals at 5-on-5 versus Toronto's 46.0%. The Corsi gap tells the same story: 60.0% for the Hurricanes, 45.0% for the Leafs. The Hurricanes control the terms entirely.

Carolina's running cold where it counts. Their PDO sits at 0.984, a team due for positive regression. Toronto's 1.002 isn't sustainable, but it's proof the Leafs caught breaks. When PDO normalizes, it favors the volume generator.

Rest shapes the matchup. Carolina arrives on four days off; Toronto on one. Watch for J. Woll to either see a backup or skate a back-to-back—either favors the Hurricanes' forecheck.

Auston Matthews drives Toronto at 1.10 expected goals per 60 with 17 goals, 13 assists, and 1 high-danger goal on 10.6% shooting. John Tavares adds 0.91 xG/60, 15 goals, 24 assists, and 3 high-danger goals on 12.4% shooting. Jackson Blake counters at 1.06 xG/60 with 14 goals, 19 assists, and 2 high-danger goals, while Seth Jarvis runs 0.98 xG/60 with 17 goals, 12 assists, and 1 high-danger goal on 11.9% shooting.

Both teams sit at 0% high-danger goal rate and 0% rebound goal rate. When that randomness normalizes, expect Carolina's volume to convert first.

Toronto's defensive weak link is Bo Groulx; Charles Alexis Legault carries it for Carolina. In a game decided by territorial control, those names rarely matter. The Hurricanes' superior play will.

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
CAR
Jackson Blake14G 19A
1.06 xG/60 · 2 HD · 10.9% sh
Seth Jarvis17G 12A
0.98 xG/60 · 1 HD · 11.9% sh
Source · MoneyPuck skaters