Motion-blurred skater in a Seattle Kraken sweater
Breakdown · SEA at TOR

Kraken edge the Maple Leafs in overtime

The verdict · stolen

The Kraken stole one. They lost the expected-goals battle 2.56–3.20 and won anyway.

SEA 4 · TOR 3
◆ By the ModelJun 16, 3:00 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

Seattle stole this one from Toronto's hands. The Maple Leafs controlled 56% of expected goals—a decisive advantage that should have been enough—but walked away with nothing in a 4-3 overtime loss. The Kraken's victory margin came not from superior play but from superior execution when it mattered most.

The numbers tell the story. Toronto generated 3.20 expected goals to Seattle's 2.56, a 56-44 split that reflects the Leafs' dominance in high-danger chances (6-3) and overall shot volume (30-28 on goal). Seattle, meanwhile, overperformed their xG by 1.44 goals—they scored when they shouldn't have nearly as often.

Toronto's demise came in two forms. A. Stolarz, in net for the Leafs, surrendered 1.44 goals more than expected, a collapse that compounded the team's already inefficient night. More damning: Toronto generated six high-danger chances and converted zero. They scored twice from low-danger areas—the sort of luck that evaporates without warning.

Seattle's counterattack proved ruthless. The Kraken were lethal in transition, converting two goals on 21 rush chances. J. Daccord, Seattle's goaltender, surrendered nothing on high-danger shots, stopping all six with a 0.900 save percentage that reflected competent, if unspectacular, play. Where the Leafs faltered, the Kraken capitalized.

Joshua Mahura ended it in overtime at 3:06 with a wrist shot from the slot—a timely finish to a game Seattle had no right to win.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · OT · Oct 18
SEA
4
TOR
3

Kraken edge the Maple Leafs in overtime

Chances 2.6 – 3.2Did they deserve it? →
Did they deserve it?

The Maple Leafs deserved better.

Expected goals · chance value
SEA
2.56
TOR
3.20
44% of the chances56%

The board read SEA 4, TOR 3. The chances read SEA 2.6, TOR 3.2.

Our xG model · NHL play-by-play · all situations
Luck check
SEA
+1.4
goals above expected
SEA2.56 expected · 4 scored
Expected
Scored
TOR3.20 expected · 3 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 07:29SEAS. WrightPP1–0
  2. P1 14:56TORM. Rielly1–1
  3. P2 14:19SEAJ. Nyman2–1
  4. P2 16:01TORJ. Tavares2–2
  5. P2 17:44SEAV. Dunn3–2
  6. P3 01:21TORJ. TavaresPP3–3
  7. OT 03:06SEAJ. Mahura4–3
NHL play-by-play · chance value from our xG model
Where the shots came from
SEA
36 shots
4
Final
77 shots
TOR
41 shots
3
SEA attackTOR attack
SEA TOR Goal
36
shots · 4 in
41
shots · 3 in
Every unblocked shot · press play to replay it
Chances by danger
SEATOR
1 / 3
0.80 xG
High danger
0 / 6
1.47 xG
2 / 12
1.34 xG
Medium
1 / 11
1.18 xG
1 / 38
0.43 xG
Low
2 / 44
0.55 xG

The Maple Leafs went 0 for 6 from the slot.

Danger tiers by our xG model · high ≥ 20% chance
In the net
C
J. Daccord
+0.2
SEA · 27/30
D-
A. Stolarz
−1.4
TOR · 24/28
The numbers, checked
BACKCHECK

Kraken edge the Maple Leafs in overtime

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 8–9
  1. 07:29SEAS. Wrightpower play(J. Schwartz, M. Marchment)1–0
  2. 14:56TORM. Rielly(A. Matthews, M. Knies)1–1
2ndshots 9–10
  1. 14:19SEAJ. Nyman(M. Marchment, S. Wright)2–1
  2. 16:01TORJ. Tavares(W. Nylander)2–2
  3. 17:44SEAV. Dunn(E. Tolvanen, C. Stephenson)3–2
3rdshots 7–11
  1. 01:21TORJ. Tavarespower play(W. Nylander)3–3
OTshots 4–0
  1. 03:06SEAJ. Mahura(J. Eberle, C. Stephenson)4–3

score reads SEA–TOR

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

The numbers

XGBoost xG · NHL play-by-play
2.56
SEA chances
Goals their shots were worth
+1.4
Finishing
Goals above what those chances were worth
1.026
SEA puck luck
Above 1.000 — the bounces went their way
46.5%
Shot attempts
Under half — they were outshot
Split by club

Who controlled the game

2.56Expected goals3.20
TOR 56% of the chance quality
28Shots on goal30
3High-danger chances6
53All attempts (Corsi)61
Adjusted for score: SEA 46% · TOR 54%
Faceoffs · TOR won58%off74%neu53%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA1 / 3 · 0.80 xG
TOR0 / 6 · 1.47 xG
Medium dangermid-range
SEA2 / 12 · 1.34 xG
TOR1 / 11 · 1.18 xG
Low dangerperimeter & point
SEA1 / 38 · 0.43 xG
TOR2 / 44 · 0.55 xG

TOR went 0-for-6 from high danger on 1.47 expected goals — 1.5 left on the table.

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

Finishing vs expected

expectedactual
SEA
4 G · 2.56 xG · +1.4
TOR
3 G · 3.20 xG · -0.2
012345

SEA finished +1.4 against expected, TOR -0.2.

Source · Backcheck xG model
Shot types · rush and rebound chancesopen +
What they shot — and what went in

Shot diet

goalsshots
SEA
WRIST4/23
SLAP0/3
TIP IN0/3
SNAP0/4
BACKHAND0/2
DEFLECTED0/1
WRAP AROUND0/0
OTHER0/17
TOR
WRIST2/24
SLAP0/7
TIP IN0/4
SNAP0/1
BACKHAND1/3
DEFLECTED0/1
WRAP AROUND0/1
OTHER0/20
SEA
TOR
Off the rush
2 G on 21
1.86 xG
1 G on 25
2.59 xG
Off rebounds
1 G on 2
0.33 xG
1 G on 2
0.11 xG

Wrist shots carried the volume: SEA went 4-for-23, TOR 2-for-24. SEA scored 2 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
J. Daccord
SEA · 27/30 · .900
+0.2
saved above expected
C
the night
By dangerG/attxGsaved
High danger0/61.5+1.5
Medium1/111.2+0.2
Low2/440.6-1.4

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

A. Stolarz
TOR · 24/28 · .857
-1.4
saved above expected
D-
the night
By dangerG/attxGsaved
High danger1/30.8-0.2
Medium2/121.3-0.7
Low1/380.4-0.6

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

77 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
SEA
36 shots
4
Final
77 shots
TOR
41 shots
3
SEA attackTOR attack
SEA TOR Goal

Each club shoots toward its own end — SEA 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
W. Nylander
#88 · R · TOR
0 G · 2 A · 2 SOG · 19:57 on ice · +1
C. Stephenson
#9 · C · SEA
0 G · 2 A · 2 SOG · 19:13 on ice · +1
J. Tavares
#91 · C · TOR
2 G · 0 A · 2 SOG · 17:11 on ice · +1
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Sat, Oct 18
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJun 16, 2:59 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 models view this as a true toss-up. Seattle projects to score 2.4 to 2.5 goals, with Toronto favored at just 52% win probability—barely more likely than flipping a coin. The teams' season numbers explain why: both sit at 46.0% expected goal share and 45.0% Corsi percentage, nearly identical measures of shot volume and quality.

On offense, Toronto has the sharper edge. Auston Matthews leads with 1.10 expected goals per 60 minutes and 17 goals on 10.6% shooting. John Tavares adds 0.91 xG/60 with 15 goals on 12.4% shooting. Seattle's top threats, Jacob Melanson and Ben Meyers, trail in both volume and conversion. Melanson carries 0.88 xG/60 with 2 goals on 6.1% shooting, while Meyers posts 0.82 xG/60 with 7 goals on 12.1% shooting—the latter's conversion rate suggests positive variance at play.

The offensive gap, however, isn't as wide as individual goal totals suggest. Melanson's expected goal rate runs closer to Tavares than his 2 goals indicate, and Toronto hasn't built deep secondary scoring: Matthews and Tavares dominate the expected-goal creation. Both teams register 0% on high-danger and rebound goal rates, meaning neither has established the net-front habits that generate either. Defensively, Seattle's Chandler Stephenson and Toronto's Bo Groulx represent weak links, though how these liabilities surface remains unclear.

The deciding factor is goaltending—the dimension models can't fully price in. A single percentage point in save percentage swings a 2.4-goal projection from a confidence-building win to a deflating loss.

Three Things to Watch

  • Two evenly matched teams on paper—this one tilts on goaltending.
What the model said beforehand

The model's lean

TOR 52%
52%
TOR
Model favorite
48%
52%
SEA50TOR

TOR by 4 points of win probability — effectively a coin flip. Projected score SEA 2.4–2.5 TOR; 19% 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
SEA← edge
edge →TOR
46.0%46.0%
45.0%45.0%
2.132.24
2.512.67
1.872.09
1.952.52
1.0111.002

TOR holds 4 of 6 process categories — and the luck row (1.011 vs 1.002) says SEA has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · Last 10
SEA
5-2-3
+2 GD · 2d rest
TOR
4-4-2
+2 GD · 2d rest
1.011
SEA PDO
Luck gauge · drifts to 1.000
1.002
TOR PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Things to watch
  • Two evenly matched teams on paper — this one tilts on goaltending.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
SEA
Expected in goal
P. Grubauer
2 days rest.870 last start
Backup Joey Daccord · -6.2 GSAx this season

No completed game on file for this club yet.

TOR
Expected in goal
A. Stolarz
2 days rest.966 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
SEA
Jacob Melanson2G 3A
0.88 xG/60 · 2 HD · 6.1% sh
Ben Meyers7G 8A
0.82 xG/60 · 1 HD · 12.1% 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
Keep going

Where to next