Backcheck
Recap · CAR at TOR

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

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

By the ModelJul 11, 3:19 PMxG: xgboost-0.758Edited for clarity
Away
CAR
Carolina Hurricanes
5
Home
TOR
Toronto Maple Leafs
4
FINAL
Process vs result

The underlying story

5.44Expected goals2.90
65% share for the better side
47Shot attempts (SOG)20
9High-danger chances5
89Corsi (all attempts)35
Score-adjusted: 73% / 27%
Source · NHL play-by-play · XGBoost xG

Carolina's 5–4 victory was far more dominant than the scoreline suggested. The Hurricanes controlled 65% of expected goals at 5v5 (5.44–2.90), running a sustained offensive campaign that the Maple Leafs' goaltending and rush efficiency kept competitive.

The gap between xG and the actual score reveals the full story. Toronto generated fewer total shot attempts (20 vs. 47) but concentrated their danger—they produced 0.083 xG per shot compared to Carolina's 0.061. High-danger chances favored the Hurricanes 9–5, and yet the margin held at one goal. B. Bussi allowed 1.10 more goals than expected, a performance that masked how thoroughly Carolina dominated five-on-five play.

Toronto survived through ruthlessness on the rush. They converted three goals on just 14 rush chances while Carolina needed 34 to score three, an efficiency edge that kept the game within reach despite being outshot and outchanced. Rebound opportunities slightly favored Carolina (8–3), but Toronto's finishing off second chances was clinical where it mattered most.

The Maple Leafs also benefited from a 1.10-goal variance boost—they exceeded their xG total, while Carolina fell short. That swing alone nearly tied the game, and it underscores an uncomfortable truth: the Hurricanes' underlying dominance didn't translate to the scoreboard in proportion to the chance quality they created.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CAR1 / 9 · 2.06 xG
TOR1 / 5 · 1.55 xG
Medium dangermid-range
CAR1 / 23 · 2.57 xG
TOR3 / 9 · 1.07 xG
Low dangerperimeter & point
CAR3 / 57 · 0.81 xG
TOR0 / 21 · 0.27 xG

CAR went 3-for-57 from low danger on 0.81 expected goals — 2.2 above expected.

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

Finishing vs expected

expectedactual
CAR
5 G · 5.44 xG · -0.4
TOR
4 G · 2.90 xG · +1.1
0123456
Goalies · GSAx (goals saved above expected)
B. BussiCAR
-1.1
D. HildebyTOR
+0.4

CAR finished -0.4 against expected, TOR +1.1 — B. Bussi (CAR) allowed 1.1 more goals than expected.

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

Shot diet

goalsshots
CAR
WRIST4/42
SNAP1/6
SLAP0/5
TIP IN0/4
BACKHAND0/2
BAT0/2
DEFLECTED0/1
POKE0/1
OTHER0/26
TOR
WRIST1/12
SNAP1/2
SLAP1/3
TIP IN0/3
BACKHAND1/4
BAT0/0
DEFLECTED0/1
POKE0/0
OTHER0/10
CAR
TOR
Off the rush
3 G on 34 · 3.36 xG
3 G on 14 · 2.08 xG
Off rebounds
1 G on 8 · 1.07 xG
1 G on 3 · 0.58 xG

Wrist shots carried the volume: CAR went 4-for-42, TOR 1-for-12. CAR scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
K. Miller
#19 · D · CAR
0 G · 2 A · 4 SOG · 25:33 TOI · +1
A. Matthews
#34 · C · TOR
1 G · 1 A · 4 SOG · 22:04 TOI · -1
W. Nylander
#88 · R · TOR
2 G · 0 A · 3 SOG · 21:19 TOI · -2
Ranked from the box score — points first · Backcheck
What the model flagged
  • B. Bussi (CAR) gave up 1.1 goals more than expected — well below their workload.
  • TOR generated far more dangerous chances — 0.083 xG/shot vs 0.061. Quality over quantity.
  • CAR scored 3 goals from low-danger spots — the opposing goalie needs to have those.
  • TOR was lethal off the rush — 3 goals on 14 rush chances.
  • CAR was lethal off the rush — 3 goals on 34 rush chances.
  • TOR created 3 rebound opportunities (1 converted) — crashing the net effectively.
  • CAR created 8 rebound opportunities (1 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · CAR at TOR · 7:00 PM ET

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

By the ModelJul 11, 3:18 PMEdited for clarity
Win probability

The model's lean

57%
CAR
Model favorite
57%
43%
CAR50TOR

CAR by 14 points of win probability — a modest lean. Projected score CAR 2.82.4 TOR; 18% chance it's tied after 60.

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

Tale of the tape

CAR← edge
edge →TOR
56.0%5v5 xG%46.0%
60.0%Corsi%45.0%
2.98xGF / 602.24
2.31xGA / 602.67
2.26Goals for / gm2.09
1.95Goals against / gm2.52
0.984PDO — luck, not skill1.002

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

Source · MoneyPuck season tables · 5v5

The model projects a 2.8–2.4 Hurricanes victory with Carolina at 57% win probability. The gap rests on one reliable principle: territorial dominance translates to wins.

Carolina's 5v5 numbers are unambiguous. The Hurricanes generate 56.0% of expected goals to Toronto's 46.0%, and they control play at 60.0% Corsi—a fifteen-point territorial edge. This is not a close decision on the underlying play. The Maple Leafs are the secondary team in this matchup.

The complication is PDO. Carolina's sits at 0.984, meaning the Hurricanes are running cold on both shooting and save percentages. Positive regression awaits. Toronto's PDO checks in at 1.002, near league neutral. If Carolina's finishing improves to average, the model's lean grows. That's the thesis.

Jackson Blake is where to watch Carolina. He produces 1.06 expected goals per 60 minutes, has 14 goals and 19 assists, and shoots at 10.9%—all edge metrics. Seth Jarvis follows at 0.98 xG/60 with 17 goals, 12 assists, and 11.9% shooting. Both represent high-volume creation from the Hurricanes' upper tier.

Toronto's counter is Auston Matthews: 1.10 xG/60, 17 goals, 13 assists, 10.6% shooting. John Tavares plays secondary at 0.91 xG/60, 15 goals, 24 assists, and 12.4% shooting—the volume facilitator to Matthews' finisher.

The model credits Carolina's depth. The Hurricanes' sustained shot generation and territorial control exceed Toronto's offensive creation enough to project a modest Carolina edge even with the Maple Leafs' star power.

Computed danger · scouting

Players to watch

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
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