Skip to content
← Back to Dashboard
FINALCentre Bell · Oct 9
TOR rest: 3dMTL rest: 3d

Toronto Maple Leafs at Montréal Canadiens: score, goals, shots, period-by-period stats and the HabsMetrics prediction made before puck drop, from the NHL’s official data. Analytics for educational purposes only — not gambling advice.

Game analysis

Canadiens beat Maple Leafs 1–0

  • C. Caufield scored the game-winner on the power play at 7:48 of the first.
  • S. Montembeault posted a 48-save shutout.
  • A. Stolarz kept the Maple Leafs in it with 26 saves (.963).
  • The Canadiens won despite being outshot 48–27.
  • Power play: MTL 1/5, TOR 0/4.
  • The Maple Leafs dominated the dot, winning 67% of faceoffs.

Three stars

  1. 1st star
    S. Montembeault

    MTL · 1.000 SV%

  2. 2nd star
    A. Stolarz

    TOR · .963 SV%

  3. 3rd star
    C. Caufield

    MTL · 1G 0A

Scoring summary

2nd

No scoring

3rd

No scoring

Period by Period

Stats not yet available

Team Stats

TORMTL
Team statistics comparison
Shots----
Hits2323
Blocked1525
Power Play0/41/5
Faceoff %66.733.3
Corsi %68.431.6
xG5.282.71
Giveaways1314
Takeaways45

Montréal Canadiens

Player statistics for Montréal Canadiens
PlayerGAP+/-SOGTOI
1010417:43
0110118:01
0110115:59
0000320:40
0000313:13
0000111:27
0000010:21
0000316:21
0000209:40
0000117:04
----77/77--1.00060:00
----48/48--1.00000:00

Toronto Maple Leafs

Player statistics for Toronto Maple Leafs
PlayerGAP+/-SOGTOI
0000117:00
0000622:39
0000518:48
0000621:13
0000119:18
0000212:27
0000418:48
0000118:17
0000218:17
0000316:08
----31/32--.96957:14
----26/27--.96300:00

Lineups

TOR

Actual (from shift data)
L1
10:37
18:48
21:13
22:39
L2
8:38
17:00
18:48
19:18
L3
5:48
12:27
13:24
12:10
L4
5:36
9:03
9:43
7:36
D1
10:30
24:05
18:17
D2
10:53
18:17
D3
8:48
16:08
14:26
57:14
Starter
0:00
Backup

Injured / Scratched

MTL

Actual (from shift data)
L1
15:03
20:40
17:43
L2
5:59
13:13
15:59
16:21
L3
6:33
9:40
17:04
14:43
L4
3:42
12:21
11:27
D1
15:15
26:35
23:45
D2
12:02
20:05
18:22
D3
7:59
13:50
11:50
Starter
0:00
Backup

Injured / Scratched

HabsMetrics Analytics — for educational purposes. Lines are inferred from shared five-skater ice time in NHL shift data; projections are estimates.

For educational/analytics purposes only — not gambling advice