Motion-blurred skater in a Montreal Canadiens sweater
Breakdown · MTL at TOR

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

The verdict · earned

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

MTL 2 · TOR 1
◆ By the ModelJul 11, 7:12 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

The Canadiens won 2-1 in a shootout, but the underlying numbers revealed something closer to a rout. They controlled 67% of 5v5 expected goals (3.78–1.85) and dominated the high-danger scoring chances 6-1, yet still needed Alexandre Texier's backhander in the shootout to finish the job.

Montreal generated the cleaner looks: 0.062 xG per shot versus Toronto's 0.036. The Maple Leafs held 40% of shot attempts (23–34 on goal), a margin that masks how thoroughly they were pushed around at even strength.

The real story was wasted opportunities. Montreal underperformed their xG by 1.78 goals—they left quality on the table. Toronto underperformed theirs by 0.85, a smaller miss that proved closer to their true performance.

Goaltending provided the variance. J. Dobes (Montreal) stopped 22 of 23 with a 0.957 save percentage, outperforming expected by 0.85 goals. D. Hildeby (Toronto) was the theft: 33 of 34 saves at 0.971, 2.78 goals better than expected. Hildeby kept the Leafs alive when they had no business being there, and Texier's finish in the shootout was the mercy. Montreal had the game in their hands and couldn't convert; Toronto got away.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · SO · Dec 6
MTL
2
TOR
1

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

Chances 3.8 – 1.9Did they deserve it? →
Did they deserve it?

The Canadiens earned this one.

Expected goals · chance value
MTL
3.78
TOR
1.85
67% of the chances33%

The board read MTL 2, TOR 1. The chances read MTL 3.8, TOR 1.9.

Our xG model · NHL play-by-play · all situations
Luck check
MTL
−1.8
goals above expected
MTL3.78 expected · 2 scored
Expected
Scored
TOR1.85 expected · 1 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. P2 08:25MTLC. CaufieldPP1–0
  2. P3 10:28TORS. LaughtonSH1–1
  3. SO 00:00MTLC. CaufieldPP1–1
  4. SO 00:00TORA. MatthewsPP1–1
  5. SO 00:00MTLA. TexierPP1–1
NHL play-by-play · chance value from our xG model
Where the shots came from
MTL
55 shots
3
Final
96 shots
TOR
41 shots
2
MTL attackTOR attack
MTL TOR Goal

Shootout goals are not shots and are not drawn; the scoreboard above counts goals from the shot log.

55
shots · 3 in
41
shots · 2 in
Every unblocked shot · press play to replay it
Chances by danger
MTLTOR
1 / 6
1.58 xG
High danger
1 / 1
0.22 xG
0 / 13
1.34 xG
Medium
0 / 8
0.84 xG
0 / 42
0.87 xG
Low
0 / 42
0.79 xG

High-danger looks: MTL 1 of 6, TOR 1 of 1.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A+
D. Hildeby
+2.8
TOR · 33/34
B+
J. Dobes
+0.8
MTL · 22/23
The numbers, checked
BACKCHECK

Canadiens 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 9–7no goals
    2ndshots 14–3
    1. 08:25MTLC. Caufieldpower play(J. Slafkovský, I. Demidov)1–0
    3rdshots 8–10
    1. 10:28TORS. Laughtonshorthanded(N. Roy)1–1
    OTshots 3–3no goals
      SO
      1. 00:00MTLC. Caufieldpower play1–1
      2. 00:00TORA. Matthewspower play1–1
      3. 00:00MTLA. Texierpower play1–1

      score reads MTL–TOR

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

      The numbers

      XGBoost xG · NHL play-by-play
      3.78
      MTL chances
      Goals their shots were worth
      −1.8
      Finishing
      Goals below what those chances were worth
      0.997
      MTL puck luck
      About 1.000 — a normal night for bounces
      54.5%
      Shot attempts
      Over half — they had the puck more
      Split by club

      Who controlled the game

      3.78Expected goals1.85
      MTL 67% of the chance quality
      34Shots on goal23
      6High-danger chances1
      61All attempts (Corsi)51
      Adjusted for score: MTL 53% · TOR 47%
      Faceoffs · TOR won64%off36%neu62%def
      Source · NHL play-by-play · XGBoost xG
      How the game was won

      The danger ladder

      shotsgoalsexpected
      High dangerslot & crease
      MTL1 / 6 · 1.58 xG
      TOR1 / 1 · 0.22 xG
      Medium dangermid-range
      MTL0 / 13 · 1.34 xG
      TOR0 / 8 · 0.84 xG
      Low dangerperimeter & point
      MTL0 / 42 · 0.87 xG
      TOR0 / 42 · 0.79 xG

      MTL went 0-for-13 from medium danger on 1.34 expected goals — 1.3 left on the table.

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

      Finishing vs expected

      expectedactual
      MTL
      2 G · 3.78 xG · -1.8
      TOR
      1 G · 1.85 xG · -0.8
      012345

      MTL finished -1.8 against expected, TOR -0.8.

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

      Shot diet

      goalsshots
      MTL
      WRIST1/38
      SLAP0/7
      BACKHAND0/1
      SNAP0/4
      TIP IN0/1
      BAT0/1
      WRAP AROUND0/1
      OTHER0/8
      TOR
      WRIST0/27
      SLAP1/4
      BACKHAND0/5
      SNAP0/0
      TIP IN0/2
      BAT0/0
      WRAP AROUND0/0
      OTHER0/13
      MTL
      TOR
      Off the rush
      1 G on 29
      2.40 xG
      1 G on 24
      1.40 xG
      Off rebounds
      0 G on 5
      0.76 xG
      0 G on 1
      0.04 xG

      Wrist shots carried the volume: MTL went 1-for-38, TOR 0-for-27.

      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. Dobes
      MTL · 22/23 · .957
      +0.8
      saved above expected
      B+
      the night
      By dangerG/attxGsaved
      High danger1/10.2-0.8
      Medium0/80.8+0.8
      Low0/420.8+0.8

      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 · 33/34 · .971
      +2.8
      saved above expected
      A+
      the night
      By dangerG/attxGsaved
      High danger1/61.6+0.6
      Medium0/131.3+1.3
      Low0/420.9+0.9

      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

      96 shots · press play to watch the game back

      Where the shots came from

      NHL play-by-play coordinates
      MTL
      55 shots
      3
      Final
      96 shots
      TOR
      41 shots
      2
      MTL attackTOR attack
      MTL TOR Goal

      Shootout goals are not shots and are not drawn; the scoreboard above counts goals from the shot log.

      Each club shoots toward its own end — MTL 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
      J. Slafkovský
      #20 · L · MTL
      0 G · 1 A · 4 SOG · 21:36 on ice
      C. Caufield
      #13 · R · MTL
      1 G · 0 A · 4 SOG · 21:20 on ice
      I. Demidov
      #93 · R · MTL
      0 G · 1 A · 2 SOG · 16:37 on ice
      Ranked from the box score — points first · Backcheck
      What the model said beforehand

      Before the game

      Written Sat, Dec 6
      Open the pre-game read
      Written from the numbers

      The read

      Edited for clarity
      ◆ By the ModelJul 11, 7:11 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 sees this one as a toss-up: 2.5–2.5 game with 50% win probability either way. This is about as close to a pick'em as you'll find in a playoff race.

      Montreal has been in freefall, sitting at -13 goal differential over their last 10 games. Yet the underlying metrics tell a different story. At 5-on-5, the Canadiens drive play, owning a 49.0% Corsi share—more shot attempts in their direction than against them. Their expected goals percentage of 48.0% to Toronto's 46.0% reinforces the pattern: Montreal is creating genuine offensive chances. Where they're running hot is PDO (1.018), a ratio of shot quality that includes both luck and team-level bounces. Regression on that front is inevitable.

      Toronto is weaker by almost every territorial measure. The Maple Leafs sit at 45.0% Corsi and 46.0% xG%, the losing side of both metrics. Their PDO of 1.002 keeps them from getting lapped entirely, but the fundamentals suggest a team being outplayed more often than not. The question that could override all of this is goaltending. J. Woll is on a back-to-back, which raises the specter of either a tired starter or a backup appearance—that call will matter more than any model projection.

      Players to Watch

      Montreal

      • Cole Caufield: 0.97 xG/60, 33G 16A, 1 HD goals, 20.0% shooting
      • Oliver Kapanen: 0.83 xG/60, 19G 12A, 4 HD goals, 17.8% shooting

      Toronto

      • Auston Matthews: 1.10 xG/60, 17G 13A, 1 HD goals, 10.6% shooting
      • John Tavares: 0.91 xG/60, 15G 24A, 3 HD goals, 12.4% shooting

      Caufield's 20.0% shooting percentage looks elite in isolation but is running well ahead of his 0.97 xG/60. Regression to the mean means fewer goals in his next stretch. Matthews is the inverse—1.10 xG/60 is elite volume, but his 10.6% conversion rate is depressed for a finisher of his pedigree. He's due. Tavares is the facilitator (24 assists), setting up his linemates more than burying chances himself; Montreal's forecheck needs to account for his passing skill.

      What the model said beforehand

      The model's lean

      TOR 50%
      50%
      TOR
      Model favorite
      50%
      50%
      MTL50TOR

      TOR by 0 points of win probability — effectively a coin flip. Projected score MTL 2.5–2.5 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
      MTL← edge
      edge →TOR
      48.0%46.0%
      49.0%45.0%
      2.412.24
      2.622.67
      2.242.09
      1.962.52
      1.0181.002

      MTL holds 6 of 6 process categories — and the luck row (1.018 vs 1.002) says MTL has been getting the bounces, which tends not to last.

      Source · NHL stats API + our xG · 5v5
      Form · Last 10
      MTL
      4-5-1
      -13 GD · 2d rest
      TOR
      5-3-2
      +6 GD · 1d rest
      1.018
      MTL 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 Canadiens drive Corsi at 49.0% — expect territorial tilt.
      Regression watch
      • The Canadiens' PDO is 1.018 — running hot, expect some regression.
      Things to watch
      • The Canadiens drive Corsi at 49.0% — expect territorial tilt.
      • J. Woll is on a back-to-back — watch for a backup start or a tired starter.
      • The Canadiens are underwater at -13 goal differential over their last 10.
      • The Canadiens' PDO is 1.018 — running hot, expect some regression.
      Last game's lineup · confirmed at warm-up

      Lineups

      NHL box score
      MTL
      Expected in goal
      J. Dobes
      2 days rest.938 last start
      Backup Jakub Dobes · +17.3 GSAx this season

      No completed game on file for this club yet.

      TOR
      Expected in goal
      J. Woll
      back-to-back.958 last start
      Backup Joseph Woll · -6.6 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
      MTL
      Cole Caufield33G 16A
      0.97 xG/60 · 1 HD · 20.0% sh
      Oliver Kapanen19G 12A
      0.83 xG/60 · 4 HD · 17.8% 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