Motion-blurred skater in a Toronto Maple Leafs sweater
Breakdown · TOR at CBJ

Maple Leafs steal one from the Blue Jackets against the run of play

The verdict · stolen

The Maple Leafs stole one. They lost the expected-goals battle 3.13–4.42 and won anyway.

TOR 2 · CBJ 1
◆ By the ModelJul 11, 5:44 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

Toronto won 2-1 in overtime despite trailing in expected goals, 4.42–3.13. Columbus controlled 59% of the quality on 5-on-5 play. This was a heist.

The numbers underscore the imbalance. Columbus held 60% of shot attempts (36–24 on goal). They generated six high-danger chances to Toronto's five and created three rebound opportunities. Toronto's two goals came off the rush—lethal on 20 high-speed chances. Columbus could not capitalize: 0-for-6 on premium looks.

The goaltending gap defined the outcome. J. Woll stopped shots at a 0.972 save percentage, landing 3.42 goals above expected. J. Greaves posted 0.917 and ran 1.13 above expected. On high-danger chances, Woll allowed none (6-for-6 stops). This was the deciding factor.

W. Nylander struck at 04:40 of overtime with a wrist shot from the high slot—the sequence that won it. Toronto was clinical when it mattered. Columbus, despite dominance in process, couldn't finish.

The Blue Jackets' underperformance—3.42 goals below their expected output—stung. They owned process but not result. Z. Werenski scored their one goal (28:40 played), the sole Columbus skater to beat superior defending.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · OT · Nov 26
TOR
2
CBJ
1

Maple Leafs steal one from the Blue Jackets against the run of play

Chances 3.1 – 4.4Did they deserve it? →
Did they deserve it?

The Blue Jackets deserved better.

Expected goals · chance value
TOR
3.13
CBJ
4.42
41% of the chances59%

The board read TOR 2, CBJ 1. The chances read TOR 3.1, CBJ 4.4.

Our xG model · NHL play-by-play · all situations
Luck check
TOR
−1.1
goals above expected
TOR3.13 expected · 2 scored
Expected
Scored
CBJ4.42 expected · 1 scored
Expected
Scored

The Blue Jackets left 3.4 goals on the table against what their chances were worth.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P3 13:30CBJZ. Werenski0–1
  2. P3 16:43TORE. Cowan1–1
  3. OT 04:40TORW. Nylander2–1
NHL play-by-play · chance value from our xG model
Where the shots came from
TOR
40 shots
2
Final
93 shots
CBJ
53 shots
1
TOR attackCBJ attack
TOR CBJ Goal
40
shots · 2 in
53
shots · 1 in
Every unblocked shot · press play to replay it
Chances by danger
TORCBJ
1 / 5
1.24 xG
High danger
0 / 6
1.46 xG
0 / 12
1.30 xG
Medium
0 / 16
1.90 xG
1 / 36
0.59 xG
Low
1 / 46
1.06 xG

The Blue Jackets went 0 for 6 from the slot.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A+
J. Woll
+3.4
TOR · 35/36
B+
J. Greaves
+1.1
CBJ · 22/24
The numbers, checked
BACKCHECK

Maple Leafs steal one from the Blue Jackets against the run of play

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 6–11no goals
    2ndshots 9–7no goals
      3rdshots 6–14
      1. 13:30CBJZ. Werenski(M. Wood)0–1
      2. 16:43TORE. Cowan(W. Nylander, J. Tavares)1–1
      OTshots 3–4
      1. 04:40TORW. Nylander(O. Ekman-Larsson, M. Knies)2–1

      score reads TOR–CBJ

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

      The numbers

      XGBoost xG · NHL play-by-play
      3.13
      TOR chances
      Goals their shots were worth
      −1.1
      Finishing
      Goals below what those chances were worth
      1.023
      TOR puck luck
      Above 1.000 — the bounces went their way
      43.8%
      Shot attempts
      Under half — they were outshot
      Split by club

      Who controlled the game

      3.13Expected goals4.42
      CBJ 59% of the chance quality
      24Shots on goal36
      5High-danger chances6
      53All attempts (Corsi)68
      Adjusted for score: TOR 44% · CBJ 56%
      Faceoffs · CBJ won48%off21%neu46%def
      Source · NHL play-by-play · XGBoost xG
      How the game was won

      The danger ladder

      shotsgoalsexpected
      High dangerslot & crease
      TOR1 / 5 · 1.24 xG
      CBJ0 / 6 · 1.46 xG
      Medium dangermid-range
      TOR0 / 12 · 1.30 xG
      CBJ0 / 16 · 1.90 xG
      Low dangerperimeter & point
      TOR1 / 36 · 0.59 xG
      CBJ1 / 46 · 1.06 xG

      CBJ went 0-for-16 from medium danger on 1.90 expected goals — 1.9 left on the table.

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

      Finishing vs expected

      expectedactual
      TOR
      2 G · 3.13 xG · -1.1
      CBJ
      1 G · 4.42 xG · -3.4
      012345

      TOR finished -1.1 against expected, CBJ -3.4.

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

      Shot diet

      goalsshots
      TOR
      WRIST1/23
      SNAP1/6
      SLAP0/3
      TIP IN0/6
      BAT0/2
      BACKHAND0/0
      DEFLECTED0/0
      OTHER0/13
      CBJ
      WRIST0/17
      SNAP1/21
      SLAP0/8
      TIP IN0/2
      BAT0/1
      BACKHAND0/2
      DEFLECTED0/2
      OTHER0/15
      TOR
      CBJ
      Off the rush
      2 G on 20
      2.03 xG
      1 G on 38
      3.79 xG
      Off rebounds
      0 G on 6
      0.87 xG
      0 G on 3
      0.29 xG

      Wrist shots carried the volume: TOR went 1-for-23, CBJ 0-for-17. TOR 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. Woll
      TOR · 35/36 · .972
      +3.4
      saved above expected
      A+
      the night
      By dangerG/attxGsaved
      High danger0/61.5+1.5
      Medium0/161.9+1.9
      Low1/461.1+0.1

      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

      J. Greaves
      CBJ · 22/24 · .917
      +1.1
      saved above expected
      B+
      the night
      By dangerG/attxGsaved
      High danger1/51.2+0.2
      Medium0/121.3+1.3
      Low1/360.6-0.4

      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

      93 shots · press play to watch the game back

      Where the shots came from

      NHL play-by-play coordinates
      TOR
      40 shots
      2
      Final
      93 shots
      CBJ
      53 shots
      1
      TOR attackCBJ attack
      TOR CBJ Goal

      Each club shoots toward its own end — TOR left, CBJ 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
      1 G · 1 A · 3 SOG · 20:18 on ice · +2
      Z. Werenski
      #8 · D · CBJ
      1 G · 0 A · 6 SOG · 28:40 on ice · -1
      O. Ekman-Larsson
      #95 · D · TOR
      0 G · 1 A · 2 SOG · 21:30 on ice · +1
      Ranked from the box score — points first · Backcheck
      What the model said beforehand

      Before the game

      Written Wed, Nov 26
      Open the pre-game read
      Written from the numbers

      The read

      Edited for clarity
      ◆ By the ModelJul 11, 5:41 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 2.3 - 2.8 goal margin favoring Columbus, with the Blue Jackets at 57% win probability.

      Columbus dominates the underlying play. The Blue Jackets own a 52.0% 5v5 expected goals percentage against Toronto's 46.0%, and they drive possession at 51.0% Corsi to Toronto's 45.0%. Both teams carry nearly identical luck (Toronto 1.002 PDO, Columbus 1.003), so the edge is structural—the Blue Jackets will dictate territory.

      The rest advantage compounds the structural edge. Columbus arrives on one day of rest; Toronto comes in on three. Over 60 minutes, that gap accumulates.

      Goaltending uncertainty favors Columbus. E. Merzlikins is on a back-to-back, opening the possibility of a backup start or a fatigued starter.

      Both teams are struggling equally. Toronto and Columbus each carry -7 goal differential over their last 10 games. The model's confidence in Columbus stems from talent advantage and structure, not momentum.

      Toronto's fate depends on Auston Matthews and John Tavares punching above their recent rates. Matthews carries 1.10 xG per 60 minutes with 17 goals and 13 assists, but his 10.6% shooting rate is historically suppressed; regression offers Toronto's primary path. Tavares posts 0.91 xG per 60 at an elite 12.4% shooting rate, providing secondary thrust on 15 goals and 24 assists.

      Columbus counters with Boone Jenner at 0.98 xG per 60 (11 goals, 21 assists) and Mathieu Olivier at 0.89 xG per 60 (12 goals on a 13.3% shooting rate). Olivier's conversion rate is the outlier—13.3% is unsustainable and inflates his offensive profile. Jenner carries the more balanced load.

      Both teams have generated no hard-chance goals or rebound goals recently, a constraint that shifts emphasis from chaos to sustained possession. Toronto's Bo Groulx represents a defensive vulnerability; Columbus' Conor Garland poses similar risk.

      The model sees a clear split: Columbus has talent edge, rest edge, and possession profile to control the game. Toronto's only viable path runs through Matthews punching above historical rates—unlikely, but not impossible.

      What the model said beforehand

      The model's lean

      CBJ 57%
      57%
      CBJ
      Model favorite
      43%
      57%
      TOR50CBJ

      CBJ by 14 points of win probability — a modest lean. Projected score TOR 2.3–2.8 CBJ; 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
      TOR← edge
      edge →CBJ
      46.0%52.0%
      45.0%51.0%
      2.242.63
      2.672.43
      2.092.12
      2.521.98
      1.0021.003

      CBJ holds 6 of 6 process categories — and the luck row (1.002 vs 1.003) says CBJ has been getting the bounces, which tends not to last.

      Source · NHL stats API + our xG · 5v5
      Form · Last 10
      TOR
      3-5-2
      -7 GD · 3d rest
      CBJ
      4-3-3
      -7 GD · 1d rest
      1.002
      TOR PDO
      Luck gauge · drifts to 1.000
      1.003
      CBJ PDO
      Luck gauge · drifts to 1.000
      What decides it

      Keys to the game

      Where the edges live
      • The Blue Jackets own the underlying play — 52.0% 5v5 xG vs 46.0%.
      • The Blue Jackets drive Corsi at 51.0% — expect territorial tilt.
      Things to watch
      • The Blue Jackets own the underlying play — 52.0% 5v5 xG vs 46.0%.
      • The Blue Jackets drive Corsi at 51.0% — expect territorial tilt.
      • E. Merzlikins is on a back-to-back — watch for a backup start or a tired starter.
      • The Blue Jackets are underwater at -7 goal differential over their last 10.
      • The Maple Leafs are underwater at -7 goal differential over their last 10.
      • The Maple Leafs have 2 more days of rest.
      Last game's lineup · confirmed at warm-up

      Lineups

      NHL box score
      TOR
      Expected in goal
      J. Woll
      3 days rest.840 last start
      Backup Joseph Woll · -6.6 GSAx this season

      No completed game on file for this club yet.

      CBJ
      Expected in goal
      E. Merzlikins
      back-to-back.839 last start
      Backup Jet Greaves · +16.5 GSAx this season
      Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

      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
      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
      CBJ
      Boone Jenner11G 21A
      0.98 xG/60 · 2 HD · 9.6% sh
      Mathieu Olivier12G 9A
      0.89 xG/60 · 1 HD · 13.3% sh
      Keep going

      Where to next