Motion-blurred skater in a Carolina Hurricanes sweater
Breakdown · CAR at TOR

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

The verdict · earned

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

CAR 5 · TOR 4
◆ By the ModelJul 11, 3:19 PMxG: xgboost-0.758Edited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

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.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Nov 9
CAR
5
TOR
4

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

Chances 5.4 – 2.9Did they deserve it? →
Did they deserve it?

The Hurricanes earned this one.

Expected goals · chance value
CAR
5.44
TOR
2.90
65% of the chances35%

The board read CAR 5, TOR 4. The chances read CAR 5.4, TOR 2.9.

Our xG model · NHL play-by-play · all situations
Luck check
CAR
−0.4
goals above expected
CAR5.44 expected · 5 scored
Expected
Scored
TOR2.90 expected · 4 scored
Expected
Scored

Both sides finished close to what their chances were worth. This one was earned on the ice.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 05:00TORW. Nylander0–1
  2. P1 08:34CARS. AhoPP1–1
  3. P1 14:31CARS. Jarvis2–1
  4. P1 15:31TORJ. Tavares2–2
  5. P1 19:01TORW. NylanderPP2–3
  6. P2 11:03TORA. Matthews2–4
  7. P2 16:51CARS. Walker3–4
+2 more on the full breakdown
NHL play-by-play · chance value from our xG model
Where the shots came from
CAR
63 shots
5
Final
88 shots
TOR
25 shots
4
CAR attackTOR attack
CAR TOR Goal
63
shots · 5 in
25
shots · 4 in
Every unblocked shot · press play to replay it
Chances by danger
CARTOR
1 / 9
2.06 xG
High danger
1 / 5
1.55 xG
1 / 23
2.57 xG
Medium
3 / 9
1.07 xG
3 / 57
0.81 xG
Low
0 / 21
0.27 xG

High-danger looks: CAR 1 of 9, TOR 1 of 5.

Danger tiers by our xG model · high ≥ 20% chance
In the net
B
D. Hildeby
+0.4
TOR · 42/47
D-
B. Bussi
−1.1
CAR · 16/20
The numbers, checked
BACKCHECK

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

A model, not a newsroom. Every number on these frames comes from the NHL's play-by-play and our own models. Nothing was watched, guessed or heard from anyone.

Read the full breakdown
backcheckreport.com
01 / 08 · Final
Every goal, in order

How it happened

NHL play-by-play
1stshots 12–10
  1. 05:00TORW. Nylander(M. Knies, M. Rielly)0–1
  2. 08:34CARS. Ahopower play(N. Ehlers, K. Miller)1–1
  3. 14:31CARS. Jarvis(A. Svechnikov, A. Nikishin)2–1
  4. 15:31TORJ. Tavares(B. McMann, N. Robertson)2–2
  5. 19:01TORW. Nylanderpower play(J. Tavares, A. Matthews)2–3
2ndshots 13–8
  1. 11:03TORA. Matthews(J. McCabe, M. Knies)2–4
  2. 16:51CARS. Walker(W. Carrier)3–4
3rdshots 22–2
  1. 03:20CART. Hall(J. Blake, L. Stankoven)4–4
  2. 12:13CARL. Stankoven(K. Miller, N. Ehlers)5–4

score reads CAR–TOR

Source · NHL play-by-play (api-web.nhle.com)
Process vs result

The numbers

XGBoost xG · NHL play-by-play
5.44
CAR chances
Goals their shots were worth
−0.4
Finishing
Goals below what those chances were worth
0.942
CAR puck luck
Below 1.000 — the bounces went against them
71.8%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

5.44Expected goals2.90
CAR 65% of the chance quality
47Shots on goal20
9High-danger chances5
89All attempts (Corsi)35
Adjusted for score: CAR 73% · TOR 27%
Faceoffs · TOR won35%off63%neu68%def
Source · NHL play-by-play · XGBoost xG
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

CAR finished -0.4 against expected, TOR +1.1.

Source · Backcheck xG model
Shot types · rush and rebound chancesopen +
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
New to these numbers?

Two things happened in this game: who created the better chances, and who put the puck in the net. They are not the same thing, and this page separates them on purpose.

The one to watch is expected goals— the best single read on who deserved to win. When it disagrees with the scoreboard, that disagreement is usually the story. Nothing here is a projection; every figure is computed from this game's play-by-play. Full glossary →

xG
Expected goals. Every shot scored by how often that exact look goes in. 2.5 xG means the chances were worth about two and a half goals.
HD
High-danger chances — shots from the slot and the crease, where shots actually become goals.
Corsi
Every shot attempt, including the ones that missed or got blocked. A rough read on who had the puck.
Adj.
Score-adjusted. Teams that trail shoot more and teams that lead sit back, so this corrects the attempt count for the scoreboard.
GSAx
Goals saved above expected. A positive number means the goalie stopped more than an average goalie would have on those shots.
PDO
Shooting % plus save % — a luck gauge. It sits near 1.000 over a season, so a game far from it usually means the bounces decided it.
Shot by shot

In the net

Graded on goals saved above expected
B. Bussi
CAR · 16/20 · .800
-1.1
saved above expected
D-
the night
By dangerG/attxGsaved
High danger1/51.6+0.6
Medium3/91.1-1.9
Low0/210.3+0.3

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

D. Hildeby
TOR · 42/47 · .894
+0.4
saved above expected
B
the night
By dangerG/attxGsaved
High danger1/92.1+1.1
Medium1/232.6+1.6
Low3/570.8-2.2

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

88 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
CAR
63 shots
5
Final
88 shots
TOR
25 shots
4
CAR attackTOR attack
CAR TOR Goal

Each club shoots toward its own end — CAR left, TOR right — the way you would watch it. A dot's size is how dangerous the look was, from distance and angle; it is a proxy for shot quality, not the xG model the article is written from. Hover a dot for the shooter and the clock.

Ranked from the box score

Three stars

Points first
Three stars · computed, not voted
K. Miller
#19 · D · CAR
0 G · 2 A · 4 SOG · 25:33 on ice · +1
A. Matthews
#34 · C · TOR
1 G · 1 A · 4 SOG · 22:04 on ice · -1
W. Nylander
#88 · R · TOR
2 G · 0 A · 3 SOG · 21:19 on ice · -2
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Sun, Nov 9
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 11, 3:18 PMEdited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

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.

What the model said beforehand

The model's lean

CAR 57%
57%
CAR
Model favorite
57%
43%
CAR50TOR

CAR by 14 points of win probability — a modest lean. Projected score CAR 2.8–2.4 TOR; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season rates · 5v5

Tale of the tape

NHL stats API · our xG
CAR← edge
edge →TOR
56.0%46.0%
60.0%45.0%
2.982.24
2.312.67
2.262.09
1.952.52
0.9841.002

CAR holds 6 of 6 process categories — and the luck row (0.984 vs 1.002) says TOR has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · Last 10
CAR
6-4-0
+5 GD · 2d rest
TOR
6-3-1
+0 GD · 3d rest
0.984
CAR PDO
Luck gauge · drifts to 1.000
1.002
TOR PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Where the edges live
  • The Hurricanes own the underlying play — 56.0% 5v5 xG vs 46.0%.
  • The Hurricanes drive Corsi at 60.0% — expect territorial tilt.
Regression watch
  • The Hurricanes' PDO is 0.984 — running cold, due for positive regression.
Things to watch
  • The Hurricanes own the underlying play — 56.0% 5v5 xG vs 46.0%.
  • The Hurricanes drive Corsi at 60.0% — expect territorial tilt.
  • The Hurricanes' PDO is 0.984 — running cold, due for positive regression.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
CAR
Expected in goal
F. Andersen
2 days rest.875 last start
Backup Brandon Bussi · +2.8 GSAx this season

No completed game on file for this club yet.

TOR
Expected in goal
A. Stolarz
3 days rest.875 last start
Backup Joseph Woll · -6.6 GSAx this season

No completed game on file for this club yet.

Lineups are the players who dressed in each club's last game, with their minutes; clubs confirm tonight's at warm-up. Every player this preview names was in that lineup.

Computed danger · scouting

Players to watch

NHL stats API · our xG
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
Keep going

Where to next