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Montreal Canadiens 29-16-10, 68pts · 6th in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 71 | 90 | 76 | 76 | 80 | 65 | 85 | 77 | 25 | 65 | 73 | 61 | 61 | 95 | 99 | 70 | 50 | 0 | 38 | 775,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 80 | 54 | 85 | 77 | 69 | 59 | 93 | 65 | 94 | 51 | 62 | 83 | 25 | 78 | 80 | 68 | 50 | 0 | 34 | 800,000$/2yrs | |||
![]() | 0 | C | 99.00 | 69 | 43 | 85 | 98 | 73 | 90 | 94 | 99 | 83 | 97 | 96 | 62 | 68 | 78 | 82 | 89 | 50 | 0 | 28 | 12,600,000$/8yrs | |||
![]() | 0 | LW/RW | 100.00 | 99 | 89 | 74 | 75 | 71 | 67 | 88 | 67 | 44 | 67 | 80 | 82 | 25 | 62 | 63 | 78 | 50 | 0 | 27 | 825,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 42 | 89 | 86 | 73 | 78 | 86 | 92 | 52 | 82 | 75 | 60 | 56 | 72 | 72 | 76 | 50 | 0 | 28 | 825,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 42 | 92 | 81 | 78 | 83 | 85 | 90 | 95 | 83 | 83 | 77 | 77 | 86 | 90 | 81 | 50 | 0 | 32 | 4,500,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 65 | 43 | 90 | 80 | 80 | 65 | 83 | 85 | 41 | 79 | 68 | 61 | 60 | 85 | 85 | 71 | 50 | 0 | 34 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 83 | 46 | 84 | 78 | 83 | 70 | 98 | 64 | 98 | 70 | 64 | 79 | 25 | 91 | 98 | 71 | 50 | 0 | 35 | 2,900,000$/4yrs | |||
![]() | 0 | LW/RW | 99.00 | 77 | 45 | 89 | 89 | 80 | 79 | 98 | 95 | 40 | 81 | 92 | 72 | 63 | 81 | 83 | 86 | 50 | 0 | 32 | 6,500,000$/4yrs | |||
![]() | 0 | LW/RW | 99.00 | 86 | 47 | 91 | 82 | 86 | 80 | 93 | 99 | 25 | 80 | 87 | 57 | 51 | 98 | 99 | 82 | 50 | 0 | 38 | 9,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 43 | 85 | 80 | 64 | 77 | 96 | 96 | 33 | 76 | 94 | 63 | 58 | 67 | 71 | 84 | 50 | 0 | 32 | 5,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 84 | 55 | 71 | 87 | 74 | 78 | 99 | 84 | 35 | 73 | 90 | 79 | 25 | 74 | 76 | 84 | 50 | 0 | 29 | 3,650,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 56 | 71 | 79 | 74 | 70 | 79 | 65 | 25 | 50 | 49 | 85 | 79 | 88 | 89 | 63 | 50 | 0 | 39 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 95 | 61 | 78 | 83 | 76 | 81 | 92 | 64 | 25 | 61 | 51 | 86 | 25 | 73 | 74 | 69 | 50 | 0 | 29 | 4,000,000$/2yrs | |||
![]() | 0 | D | 99.00 | 76 | 44 | 86 | 84 | 79 | 86 | 74 | 74 | 25 | 72 | 48 | 86 | 25 | 70 | 75 | 68 | 50 | 0 | 25 | 8,500,000$/8yrs | |||
![]() | 0 | D | 100.00 | 73 | 44 | 87 | 77 | 78 | 63 | 76 | 62 | 25 | 49 | 48 | 77 | 25 | 88 | 90 | 62 | 50 | 0 | 36 | 1,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 45 | 87 | 78 | 84 | 80 | 78 | 62 | 25 | 64 | 50 | 96 | 75 | 80 | 83 | 69 | 50 | 0 | 32 | 3,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 82 | 45 | 78 | 82 | 73 | 91 | 90 | 77 | 25 | 72 | 53 | 89 | 61 | 86 | 94 | 72 | 50 | 0 | 36 | 6,100,000$/5yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.78 | 78 | 52 | 83 | 82 | 76 | 76 | 88 | 79 | 45 | 71 | 70 | 75 | 49 | 81 | 84 | 75 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 90 | 92 | 89 | 84 | 93 | 86 | 79 | 88 | 88 | 89 | 78 | 72 | 74 | 88 | 50 | 0 | 30 | 6,166,666$/1yrs |
![]() | 0 | 99.00 | 78 | 77 | 76 | 72 | 78 | 78 | 69 | 80 | 77 | 78 | 95 | 68 | 70 | 77 | 50 | 0 | 31 | 3,800,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 84 | 85 | 83 | 78 | 86 | 82 | 74 | 84 | 83 | 84 | 87 | 70 | 72 | 83 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | D | 100.00 | 77 | 82 | 66 | 64 | 82 | 70 | 73 | 60 | 25 | 52 | 53 | 65 | 50 | 44 | 44 | 60 | 68 | 0 | 20 | 545,000$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Maxime Larocque |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nathan MacKinnon | 0 | C | 55 | 19 | 51 | 70 | 5 | 42 | 0 | 93 | 199 | 52 | 118 | 9.55% | 24 | 20.46 | 5 | 15 | 20 | 143 | 0 | 0 | 0 | 13 | 3 | 2 | 52.79% | 1508 | 56 | 22 | 0 | 1 | 1.24 | 3 | 11 | ||
2 | Chris Kreider | 0 | LW/RW | 55 | 21 | 34 | 55 | -10 | 6 | 0 | 76 | 191 | 62 | 132 | 10.99% | 26 | 20.04 | 10 | 11 | 21 | 144 | 0 | 0 | 0 | 25 | 2 | 0 | 35.71% | 98 | 54 | 22 | 0 | 0 | 1.00 | 1 | 7 | ||
3 | Alex Ovechkin | 0 | LW/RW | 55 | 24 | 27 | 51 | 6 | 8 | 0 | 79 | 203 | 70 | 110 | 11.82% | 19 | 19.16 | 4 | 7 | 11 | 124 | 0 | 0 | 0 | 0 | 5 | 3 | 29.63% | 81 | 39 | 23 | 0 | 0 | 0.97 | 0 | 8 | ||
4 | Frank Vatrano | 0 | LW/RW | 55 | 20 | 19 | 39 | 5 | 48 | 0 | 112 | 140 | 35 | 82 | 14.29% | 28 | 19.84 | 8 | 4 | 12 | 127 | 0 | 0 | 0 | 94 | 1 | 1 | 40.28% | 72 | 37 | 24 | 0 | 1 | 0.71 | 2 | 8 | ||
5 | Jonathan Marchessault | 0 | LW/RW | 55 | 15 | 23 | 38 | 5 | 35 | 5 | 72 | 132 | 46 | 92 | 11.36% | 19 | 19.17 | 4 | 5 | 9 | 139 | 0 | 0 | 0 | 35 | 2 | 1 | 39.44% | 71 | 25 | 9 | 0 | 0 | 0.72 | 4 | 11 | ||
6 | Ryan O'Reilly | 0 | C | 55 | 20 | 15 | 35 | 5 | 4 | 0 | 71 | 137 | 48 | 81 | 14.60% | 17 | 17.31 | 3 | 5 | 8 | 116 | 0 | 0 | 0 | 68 | 2 | 4 | 55.25% | 619 | 21 | 24 | 0 | 0 | 0.74 | 4 | 5 | ||
7 | Jonathan Drouin | 0 | LW/RW | 55 | 18 | 16 | 34 | -23 | 12 | 0 | 71 | 180 | 39 | 97 | 10.00% | 21 | 16.73 | 6 | 7 | 13 | 116 | 0 | 0 | 0 | 6 | 0 | 1 | 51.85% | 54 | 36 | 10 | 0 | 0 | 0.74 | 1 | 2 | ||
8 | Jordan Staal | 0 | C/LW | 54 | 13 | 16 | 29 | 9 | 12 | 0 | 72 | 80 | 18 | 40 | 16.25% | 13 | 14.14 | 0 | 1 | 1 | 33 | 0 | 0 | 0 | 113 | 2 | 0 | 64.02% | 403 | 12 | 5 | 0 | 0 | 0.76 | 0 | 0 | ||
9 | Kris Letang | 0 | D | 55 | 4 | 21 | 25 | 11 | 77 | 5 | 101 | 73 | 30 | 33 | 5.48% | 77 | 24.98 | 2 | 6 | 8 | 149 | 0 | 0 | 0 | 25 | 2 | 0 | 0.00% | 0 | 15 | 47 | 0 | 0 | 0.36 | 0 | 0 | ||
10 | Dakota Joshua | 0 | LW/RW | 55 | 10 | 12 | 22 | 10 | 20 | 0 | 57 | 109 | 30 | 57 | 9.17% | 11 | 11.24 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 129 | 0 | 0 | 44.44% | 18 | 33 | 13 | 0 | 0 | 0.71 | 0 | 0 | ||
11 | James van Riemsdyk | 0 | RW | 55 | 9 | 9 | 18 | -3 | 2 | 0 | 36 | 89 | 26 | 42 | 10.11% | 14 | 10.27 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 47.06% | 17 | 12 | 4 | 0 | 0 | 0.64 | 0 | 0 | ||
12 | Mikhail Sergachev | 0 | D | 55 | 2 | 14 | 16 | 0 | 18 | 0 | 64 | 56 | 28 | 16 | 3.57% | 68 | 22.94 | 1 | 4 | 5 | 135 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 10 | 43 | 0 | 0 | 0.25 | 0 | 0 | ||
13 | Jake McCabe | 0 | D | 55 | 0 | 13 | 13 | 0 | 56 | 10 | 73 | 53 | 18 | 22 | 0.00% | 65 | 19.87 | 0 | 1 | 1 | 76 | 0 | 0 | 0 | 118 | 0 | 0 | 0.00% | 0 | 9 | 27 | 0 | 0 | 0.24 | 0 | 0 | ||
14 | Luke Glendening | 0 | C/LW/RW | 55 | 1 | 9 | 10 | 9 | 9 | 5 | 43 | 48 | 15 | 30 | 2.08% | 19 | 11.23 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 150 | 0 | 0 | 56.68% | 404 | 20 | 15 | 0 | 0 | 0.32 | 0 | 0 | ||
15 | David Savard | 0 | D | 55 | 1 | 9 | 10 | 22 | 24 | 0 | 59 | 50 | 15 | 17 | 2.00% | 63 | 22.84 | 0 | 0 | 0 | 102 | 0 | 0 | 0 | 152 | 0 | 0 | 0.00% | 0 | 6 | 41 | 0 | 0 | 0.16 | 1 | 2 | ||
16 | Corey Perry | 0 | RW | 55 | 6 | 3 | 9 | -4 | 18 | 10 | 34 | 69 | 21 | 49 | 8.70% | 5 | 7.70 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 1 | 1 | 0.00% | 7 | 18 | 7 | 0 | 0 | 0.42 | 0 | 2 | ||
17 | Mark Giordano | 0 | D | 54 | 0 | 7 | 7 | 1 | 30 | 0 | 47 | 33 | 12 | 11 | 0.00% | 40 | 15.56 | 0 | 0 | 0 | 33 | 0 | 0 | 0 | 82 | 0 | 0 | 0.00% | 0 | 5 | 27 | 0 | 0 | 0.17 | 1 | 3 | ||
18 | Marc Staal | 0 | D | 27 | 0 | 2 | 2 | -11 | 0 | 0 | 8 | 7 | 8 | 1 | 0.00% | 14 | 11.59 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 2 | 12 | 0 | 0 | 0.13 | 0 | 0 | ||
Team Total or Average | 960 | 183 | 300 | 483 | 37 | 421 | 35 | 1168 | 1849 | 573 | 1030 | 9.90% | 543 | 17.11 | 43 | 66 | 109 | 1464 | 0 | 0 | 0 | 1082 | 20 | 13 | 53.25% | 3352 | 410 | 375 | 0 | 2 | 0.59 | 17 | 59 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Hellebuyck | 37 | 20 | 9 | 8 | 0.913 | 2.50 | 2231 | 4 | 1 | 93 | 1063 | 482 | 5 | 0 | 0.756 | 45 | 37 | 18 | 2 | 2 | 2 | |
2 | Petr Mrazek | 37 | 20 | 9 | 5 | 0.909 | 2.77 | 2103 | 6 | 0 | 97 | 1069 | 521 | 1 | 1 | 0.784 | 37 | 34 | 21 | 4 | 5 | 1 | |
Team Total or Average | 74 | 40 | 18 | 13 | 0.911 | 2.63 | 4335 | 10 | 1 | 190 | 2132 | 1003 | 6 | 1 | 0.768 | 82 | 71 | 39 | 6 | 7 | 3 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 3 | 64 | 18 | 20 | 26 | 11 | 53 | 18 | 14 | 35 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 46 | 27 | 45 | 20 | 38 | 17 | 33.3% | 6.3% | 88.7% | 94.9 | Unlucky | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | -8 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 55 | 25 | 17 | 13 | 0 | 67 | 28 | 18 | 39 | 10 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 43 | 25 | 42 | 17 | 33 | 16 | 22.2% | 3.6% | 85.1% | 88.7 | Unlucky | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 0 | 4 | 3 | 0 | 70 | 24 | 22 | 24 | 0 | 52 | 20 | 6 | 42 | 8 | 3 | 37.50% | 3 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 46 | 29 | 41 | 17 | 32 | 15 | 57.1% | 10.0% | 94.2% | 104.2 | LUCKY | |
4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 4 | 3 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 3 | 0 | 61 | 13 | 32 | 16 | 0 | 64 | 25 | 16 | 40 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 42 | 24 | 43 | 17 | 35 | 17 | 66.7% | 11.5% | 93.8% | 105.2 | LUCKY | |
5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 3 | 4 | 1 | 0 | 96 | 28 | 30 | 38 | 0 | 74 | 14 | 18 | 76 | 12 | 3 | 25.00% | 9 | 2 | 77.78% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 69 | 42 | 58 | 27 | 52 | 26 | 55.6% | 8.3% | 91.9% | 100.2 | DULL | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 1 | 0 | 29 | 12 | 9 | 8 | 0 | 32 | 8 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 21 | 11 | 21 | 9 | 17 | 8 | 71.4% | 17.2% | 93.8% | 111.0 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 2 | 0 | 30 | 6 | 10 | 14 | 0 | 35 | 17 | 8 | 13 | 3 | 2 | 66.67% | 4 | 1 | 75.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 19 | 10 | 23 | 8 | 17 | 8 | 80.0% | 20.0% | 94.3% | 114.3 | LUCKY | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 3 | 0 | 64 | 19 | 15 | 30 | 0 | 65 | 23 | 16 | 42 | 2 | 1 | 50.00% | 8 | 2 | 75.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 40 | 23 | 42 | 18 | 36 | 16 | 83.3% | 9.4% | 95.4% | 104.8 | LUCKY | |
9 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 30 | 12 | 11 | 7 | 0 | 28 | 10 | 8 | 21 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 22 | 14 | 19 | 8 | 17 | 8 | 40.0% | 6.7% | 89.3% | 96.0 | Unlucky | |
10 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 3 | 0.500 | 10 | 17 | 27 | 0 | 0 | 2 | 4 | 4 | 0 | 100 | 37 | 30 | 32 | 6 | 89 | 21 | 17 | 51 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 70 | 44 | 61 | 25 | 52 | 26 | 57.1% | 10.0% | 91.0% | 101.0 | FUN | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 0 | 1 | 27 | 12 | 7 | 7 | 6 | 28 | 12 | 6 | 27 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 22 | 11 | 21 | 10 | 20 | 11 | 75.0% | 11.1% | 92.9% | 104.0 | LUCKY | |
12 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 0.667 | 8 | 12 | 20 | 0 | 0 | 1 | 1 | 5 | 1 | 106 | 29 | 34 | 42 | 3 | 101 | 36 | 12 | 53 | 12 | 1 | 8.33% | 6 | 2 | 66.67% | 1 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 65 | 38 | 67 | 26 | 52 | 27 | 70.0% | 7.5% | 95.0% | 102.6 | DULL | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 1 | 3 | 3 | 0 | 63 | 19 | 15 | 29 | 0 | 65 | 23 | 21 | 45 | 9 | 2 | 22.22% | 3 | 1 | 66.67% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 46 | 28 | 39 | 17 | 33 | 17 | 50.0% | 11.1% | 90.8% | 101.9 | FUN | |
14 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 14 | 24 | 0 | 0 | 3 | 1 | 5 | 2 | 103 | 32 | 40 | 27 | 6 | 91 | 26 | 20 | 60 | 7 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 71 | 42 | 58 | 26 | 54 | 27 | 52.6% | 9.7% | 90.1% | 99.8 | FUN | |
15 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 30 | 7 | 11 | 12 | 0 | 32 | 11 | 10 | 20 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 20 | 11 | 23 | 9 | 17 | 8 | 50.0% | 10.0% | 87.5% | 97.5 | FUN | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 3 | 1 | 2 | 1 | 68 | 21 | 16 | 28 | 5 | 63 | 24 | 10 | 44 | 5 | 2 | 40.00% | 5 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 42 | 25 | 45 | 19 | 37 | 17 | 41.7% | 10.3% | 88.9% | 99.2 | FUN | |
17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 4 | 1 | 0 | 31 | 6 | 10 | 15 | 3 | 25 | 10 | 8 | 33 | 3 | 2 | 66.67% | 4 | 3 | 25.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 23 | 13 | 20 | 9 | 20 | 10 | 50.0% | 16.1% | 76.0% | 92.1 | FUN | |
18 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 1 | 3 | 4 | 0 | 67 | 15 | 35 | 17 | 0 | 51 | 21 | 17 | 30 | 9 | 1 | 11.11% | 6 | 2 | 66.67% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 47 | 29 | 38 | 18 | 33 | 16 | 58.3% | 11.9% | 86.3% | 98.2 | FUN | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 10 | 8 | 15 | 0 | 29 | 6 | 25 | 21 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 22 | 12 | 21 | 9 | 16 | 7 | 33.3% | 6.1% | 82.8% | 88.8 | Unlucky | |
20 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 10 | 6 | 1.000 | 15 | 21 | 36 | 0 | 0 | 4 | 4 | 7 | 0 | 106 | 30 | 31 | 45 | 0 | 72 | 27 | 14 | 63 | 10 | 5 | 50.00% | 7 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 68 | 42 | 60 | 25 | 51 | 25 | 66.7% | 14.2% | 93.1% | 107.2 | LUCKY | |
21 | 3 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 16 | 26 | 0 | 0 | 3 | 0 | 5 | 4 | 85 | 34 | 21 | 29 | 14 | 100 | 20 | 20 | 57 | 5 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 63 | 36 | 69 | 30 | 56 | 27 | 58.8% | 11.8% | 91.0% | 102.8 | FUN | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 2 | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 23 | 7 | 9 | 7 | 0 | 32 | 14 | 6 | 12 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 19 | 10 | 23 | 9 | 17 | 8 | 100.0% | 8.7% | 100.0% | 108.7 | DULL | |
23 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 1 | 3 | 4 | 0 | 62 | 22 | 11 | 28 | 1 | 62 | 17 | 14 | 50 | 6 | 3 | 50.00% | 7 | 1 | 85.71% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 46 | 27 | 39 | 18 | 34 | 16 | 45.5% | 12.9% | 88.7% | 101.6 | FUN | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 38 | 11 | 11 | 16 | 0 | 25 | 9 | 4 | 13 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 23 | 15 | 19 | 8 | 16 | 8 | 60.0% | 10.5% | 92.0% | 102.5 | LUCKY | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 60 | 27 | 9 | 24 | 0 | 51 | 20 | 12 | 36 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 41 | 24 | 44 | 17 | 33 | 16 | 60.0% | 6.7% | 94.1% | 100.8 | DULL | |
26 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 0 | 0.000 | 8 | 12 | 20 | 0 | 0 | 3 | 4 | 1 | 0 | 103 | 32 | 34 | 37 | 0 | 92 | 35 | 8 | 64 | 8 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 68 | 41 | 58 | 26 | 52 | 28 | 44.4% | 7.8% | 87.0% | 94.7 | Unlucky | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 32 | 10 | 6 | 16 | 0 | 29 | 6 | 12 | 20 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 22 | 12 | 21 | 8 | 16 | 8 | 25.0% | 3.1% | 89.7% | 92.8 | Unlucky | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 27 | 8 | 6 | 13 | 0 | 32 | 6 | 4 | 15 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 20 | 12 | 22 | 9 | 16 | 8 | 20.0% | 7.4% | 87.5% | 94.9 | Unlucky | |
29 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 50 | 8 | 20 | 21 | 1 | 50 | 22 | 16 | 30 | 4 | 1 | 25.00% | 8 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 39 | 22 | 43 | 20 | 37 | 17 | 44.4% | 10.0% | 90.0% | 100.0 | FUN | |
30 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 4 | 46 | 13 | 18 | 15 | 8 | 25 | 13 | 4 | 24 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 26 | 16 | 19 | 9 | 19 | 10 | 57.1% | 8.7% | 88.0% | 96.7 | Unlucky | |
_Vs Division | 14 | 8 | 2 | 0 | 0 | 1 | 1 | 2 | 40 | 29 | 11 | 21 | 0.750 | 40 | 64 | 104 | 0 | 1 | 9 | 15 | 15 | 4 | 458 | 127 | 154 | 176 | 14 | 401 | 135 | 87 | 261 | 45 | 8 | 17.78% | 41 | 8 | 80.49% | 2 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 312 | 187 | 294 | 129 | 247 | 121 | 60.4% | 8.7% | 92.8% | 101.5 | DULL | |
_Vs Conference | 32 | 15 | 8 | 0 | 0 | 2 | 4 | 3 | 105 | 78 | 27 | 43 | 0.672 | 105 | 166 | 271 | 0 | 1 | 27 | 33 | 41 | 10 | 1045 | 317 | 351 | 370 | 40 | 941 | 297 | 186 | 618 | 94 | 16 | 17.02% | 89 | 15 | 83.15% | 2 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 719 | 430 | 668 | 291 | 568 | 282 | 58.6% | 10.0% | 91.7% | 101.8 | LUCKY | |
_Since Last GM Reset | 55 | 22 | 16 | 0 | 0 | 6 | 7 | 4 | 173 | 151 | 22 | 68 | 0.618 | 173 | 275 | 448 | 1 | 1 | 41 | 58 | 67 | 16 | 1759 | 547 | 548 | 651 | 64 | 1614 | 542 | 368 | 1098 | 168 | 33 | 19.64% | 166 | 28 | 83.13% | 2 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 1227 | 729 | 1157 | 503 | 973 | 482 | 53.2% | 9.8% | 90.6% | 100.5 | FUN | |
Total | 55 | 22 | 16 | 0 | 0 | 6 | 7 | 4 | 173 | 151 | 22 | 68 | 0.618 | 173 | 275 | 448 | 1 | 1 | 41 | 58 | 67 | 16 | 1759 | 547 | 548 | 651 | 64 | 1614 | 542 | 368 | 1098 | 168 | 33 | 19.64% | 166 | 28 | 83.13% | 2 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 1227 | 729 | 1157 | 503 | 973 | 482 | 53.2% | 9.8% | 90.6% | 100.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1147 |
Neutral Zone Start | 769 |
Defensive Zone Start | 1231 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1674 |
Faceoffs Lost | 1473 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 31.7 | 30.68 |
Overtime | 32.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 137 |
---|---|
PP Goal | 33 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 16 | 13 |
Lost | 8 | 8 |
Overtime Lost | 4 | 6 |
PP Attempt | 168 |
---|---|
PP Goal | 33 |
PK Attempt | 166 |
PK Goal Against | 28 |
Home | |
---|---|
Shots For | 32.0 |
Shots Against | 29.3 |
Goals For | 3.1 |
Goals Against | 2.7 |
Hits | 20.0 |
Shots Blocked | 9.9 |
Pim | 6.7 |
Projected Total Cap Hit | 82,841,666$ |
Projected Cap Space | 658,334$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 53,377,865$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Canadiens Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Ovechkin ![]() | LW/RW | 38 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |||||
Chris Kreider ![]() | LW/RW | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | ||||
Connor Hellebuyck ![]() | G | 30 | 6,166,666$ | 6,166,666$ | |||||||
Corey Perry ![]() | RW | 38 | 775,000$ | 775,000$ | |||||||
Dakota Joshua ![]() | LW/RW | 27 | 825,000$ | 825,000$ | |||||||
David Savard ![]() | D | 32 | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||||
Frank Vatrano ![]() | LW/RW | 29 | 3,650,000$ | 3,650,000$ | 3,650,000$ | ||||||
Jake McCabe ![]() | D | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||||
James van Riemsdyk ![]() | RW | 34 | 1,000,000$ | 1,000,000$ | |||||||
Jonathan Drouin ![]() | LW/RW | 28 | 825,000$ | 825,000$ | |||||||
Jonathan Marchessault ![]() | LW/RW | 32 | 5,000,000$ | 5,000,000$ | |||||||
Jordan Staal ![]() | C/LW | 35 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | ||||
Kris Letang ![]() | D | 36 | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | |||
Luke Glendening ![]() | C/LW/RW | 34 | 800,000$ | 800,000$ | 800,000$ | ||||||
Marc Staal ![]() | D | 36 | 1,100,000$ | 1,100,000$ | |||||||
Mark Giordano ![]() | D | 39 | 800,000$ | 800,000$ | |||||||
Mikhail Sergachev ![]() | D | 25 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ |
Nathan MacKinnon ![]() | C | 28 | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ |
Petr Mrazek ![]() | G | 31 | 3,800,000$ | 3,800,000$ | |||||||
Ryan O'Reilly ![]() | C | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 3 | 64 | 18 | 20 | 26 | 11 | 53 | 18 | 14 | 35 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 46 | 27 | 45 | 20 | 38 | 17 | 33.3% | 6.3% | 88.7% | 94.9 | Unlucky | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | -8 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 55 | 25 | 17 | 13 | 0 | 67 | 28 | 18 | 39 | 10 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 43 | 25 | 42 | 17 | 33 | 16 | 22.2% | 3.6% | 85.1% | 88.7 | Unlucky | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 0 | 4 | 3 | 0 | 70 | 24 | 22 | 24 | 0 | 52 | 20 | 6 | 42 | 8 | 3 | 37.50% | 3 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 46 | 29 | 41 | 17 | 32 | 15 | 57.1% | 10.0% | 94.2% | 104.2 | LUCKY | |
4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 4 | 3 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 3 | 0 | 61 | 13 | 32 | 16 | 0 | 64 | 25 | 16 | 40 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 42 | 24 | 43 | 17 | 35 | 17 | 66.7% | 11.5% | 93.8% | 105.2 | LUCKY | |
5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 3 | 4 | 1 | 0 | 96 | 28 | 30 | 38 | 0 | 74 | 14 | 18 | 76 | 12 | 3 | 25.00% | 9 | 2 | 77.78% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 69 | 42 | 58 | 27 | 52 | 26 | 55.6% | 8.3% | 91.9% | 100.2 | DULL | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 1 | 0 | 29 | 12 | 9 | 8 | 0 | 32 | 8 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 21 | 11 | 21 | 9 | 17 | 8 | 71.4% | 17.2% | 93.8% | 111.0 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 2 | 0 | 30 | 6 | 10 | 14 | 0 | 35 | 17 | 8 | 13 | 3 | 2 | 66.67% | 4 | 1 | 75.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 19 | 10 | 23 | 8 | 17 | 8 | 80.0% | 20.0% | 94.3% | 114.3 | LUCKY | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 3 | 0 | 64 | 19 | 15 | 30 | 0 | 65 | 23 | 16 | 42 | 2 | 1 | 50.00% | 8 | 2 | 75.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 40 | 23 | 42 | 18 | 36 | 16 | 83.3% | 9.4% | 95.4% | 104.8 | LUCKY | |
9 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 30 | 12 | 11 | 7 | 0 | 28 | 10 | 8 | 21 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 22 | 14 | 19 | 8 | 17 | 8 | 40.0% | 6.7% | 89.3% | 96.0 | Unlucky | |
10 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 3 | 0.500 | 10 | 17 | 27 | 0 | 0 | 2 | 4 | 4 | 0 | 100 | 37 | 30 | 32 | 6 | 89 | 21 | 17 | 51 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 70 | 44 | 61 | 25 | 52 | 26 | 57.1% | 10.0% | 91.0% | 101.0 | FUN | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 0 | 1 | 27 | 12 | 7 | 7 | 6 | 28 | 12 | 6 | 27 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 22 | 11 | 21 | 10 | 20 | 11 | 75.0% | 11.1% | 92.9% | 104.0 | LUCKY | |
12 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 0.667 | 8 | 12 | 20 | 0 | 0 | 1 | 1 | 5 | 1 | 106 | 29 | 34 | 42 | 3 | 101 | 36 | 12 | 53 | 12 | 1 | 8.33% | 6 | 2 | 66.67% | 1 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 65 | 38 | 67 | 26 | 52 | 27 | 70.0% | 7.5% | 95.0% | 102.6 | DULL | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 1 | 3 | 3 | 0 | 63 | 19 | 15 | 29 | 0 | 65 | 23 | 21 | 45 | 9 | 2 | 22.22% | 3 | 1 | 66.67% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 46 | 28 | 39 | 17 | 33 | 17 | 50.0% | 11.1% | 90.8% | 101.9 | FUN | |
14 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 14 | 24 | 0 | 0 | 3 | 1 | 5 | 2 | 103 | 32 | 40 | 27 | 6 | 91 | 26 | 20 | 60 | 7 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 71 | 42 | 58 | 26 | 54 | 27 | 52.6% | 9.7% | 90.1% | 99.8 | FUN | |
15 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 30 | 7 | 11 | 12 | 0 | 32 | 11 | 10 | 20 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 20 | 11 | 23 | 9 | 17 | 8 | 50.0% | 10.0% | 87.5% | 97.5 | FUN | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 3 | 1 | 2 | 1 | 68 | 21 | 16 | 28 | 5 | 63 | 24 | 10 | 44 | 5 | 2 | 40.00% | 5 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 42 | 25 | 45 | 19 | 37 | 17 | 41.7% | 10.3% | 88.9% | 99.2 | FUN | |
17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 4 | 1 | 0 | 31 | 6 | 10 | 15 | 3 | 25 | 10 | 8 | 33 | 3 | 2 | 66.67% | 4 | 3 | 25.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 23 | 13 | 20 | 9 | 20 | 10 | 50.0% | 16.1% | 76.0% | 92.1 | FUN | |
18 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 1 | 3 | 4 | 0 | 67 | 15 | 35 | 17 | 0 | 51 | 21 | 17 | 30 | 9 | 1 | 11.11% | 6 | 2 | 66.67% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 47 | 29 | 38 | 18 | 33 | 16 | 58.3% | 11.9% | 86.3% | 98.2 | FUN | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 10 | 8 | 15 | 0 | 29 | 6 | 25 | 21 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 22 | 12 | 21 | 9 | 16 | 7 | 33.3% | 6.1% | 82.8% | 88.8 | Unlucky | |
20 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 10 | 6 | 1.000 | 15 | 21 | 36 | 0 | 0 | 4 | 4 | 7 | 0 | 106 | 30 | 31 | 45 | 0 | 72 | 27 | 14 | 63 | 10 | 5 | 50.00% | 7 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 68 | 42 | 60 | 25 | 51 | 25 | 66.7% | 14.2% | 93.1% | 107.2 | LUCKY | |
21 | 3 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 16 | 26 | 0 | 0 | 3 | 0 | 5 | 4 | 85 | 34 | 21 | 29 | 14 | 100 | 20 | 20 | 57 | 5 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 63 | 36 | 69 | 30 | 56 | 27 | 58.8% | 11.8% | 91.0% | 102.8 | FUN | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 2 | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 23 | 7 | 9 | 7 | 0 | 32 | 14 | 6 | 12 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 19 | 10 | 23 | 9 | 17 | 8 | 100.0% | 8.7% | 100.0% | 108.7 | DULL | |
23 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 1 | 3 | 4 | 0 | 62 | 22 | 11 | 28 | 1 | 62 | 17 | 14 | 50 | 6 | 3 | 50.00% | 7 | 1 | 85.71% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 46 | 27 | 39 | 18 | 34 | 16 | 45.5% | 12.9% | 88.7% | 101.6 | FUN | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 38 | 11 | 11 | 16 | 0 | 25 | 9 | 4 | 13 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 23 | 15 | 19 | 8 | 16 | 8 | 60.0% | 10.5% | 92.0% | 102.5 | LUCKY | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 60 | 27 | 9 | 24 | 0 | 51 | 20 | 12 | 36 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 41 | 24 | 44 | 17 | 33 | 16 | 60.0% | 6.7% | 94.1% | 100.8 | DULL | |
26 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 0 | 0.000 | 8 | 12 | 20 | 0 | 0 | 3 | 4 | 1 | 0 | 103 | 32 | 34 | 37 | 0 | 92 | 35 | 8 | 64 | 8 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 68 | 41 | 58 | 26 | 52 | 28 | 44.4% | 7.8% | 87.0% | 94.7 | Unlucky | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 32 | 10 | 6 | 16 | 0 | 29 | 6 | 12 | 20 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 22 | 12 | 21 | 8 | 16 | 8 | 25.0% | 3.1% | 89.7% | 92.8 | Unlucky | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 27 | 8 | 6 | 13 | 0 | 32 | 6 | 4 | 15 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 20 | 12 | 22 | 9 | 16 | 8 | 20.0% | 7.4% | 87.5% | 94.9 | Unlucky | |
29 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 50 | 8 | 20 | 21 | 1 | 50 | 22 | 16 | 30 | 4 | 1 | 25.00% | 8 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 39 | 22 | 43 | 20 | 37 | 17 | 44.4% | 10.0% | 90.0% | 100.0 | FUN | |
30 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 4 | 46 | 13 | 18 | 15 | 8 | 25 | 13 | 4 | 24 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 26 | 16 | 19 | 9 | 19 | 10 | 57.1% | 8.7% | 88.0% | 96.7 | Unlucky | |
_Vs Division | 14 | 8 | 2 | 0 | 0 | 1 | 1 | 2 | 40 | 29 | 11 | 21 | 0.750 | 40 | 64 | 104 | 0 | 1 | 9 | 15 | 15 | 4 | 458 | 127 | 154 | 176 | 14 | 401 | 135 | 87 | 261 | 45 | 8 | 17.78% | 41 | 8 | 80.49% | 2 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 312 | 187 | 294 | 129 | 247 | 121 | 60.4% | 8.7% | 92.8% | 101.5 | DULL | |
_Vs Conference | 32 | 15 | 8 | 0 | 0 | 2 | 4 | 3 | 105 | 78 | 27 | 43 | 0.672 | 105 | 166 | 271 | 0 | 1 | 27 | 33 | 41 | 10 | 1045 | 317 | 351 | 370 | 40 | 941 | 297 | 186 | 618 | 94 | 16 | 17.02% | 89 | 15 | 83.15% | 2 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 719 | 430 | 668 | 291 | 568 | 282 | 58.6% | 10.0% | 91.7% | 101.8 | LUCKY | |
_Since Last GM Reset | 55 | 22 | 16 | 0 | 0 | 6 | 7 | 4 | 173 | 151 | 22 | 68 | 0.618 | 173 | 275 | 448 | 1 | 1 | 41 | 58 | 67 | 16 | 1759 | 547 | 548 | 651 | 64 | 1614 | 542 | 368 | 1098 | 168 | 33 | 19.64% | 166 | 28 | 83.13% | 2 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 1227 | 729 | 1157 | 503 | 973 | 482 | 53.2% | 9.8% | 90.6% | 100.5 | FUN | |
Total | 55 | 22 | 16 | 0 | 0 | 6 | 7 | 4 | 173 | 151 | 22 | 68 | 0.618 | 173 | 275 | 448 | 1 | 1 | 41 | 58 | 67 | 16 | 1759 | 547 | 548 | 651 | 64 | 1614 | 542 | 368 | 1098 | 168 | 33 | 19.64% | 166 | 28 | 83.13% | 2 | 638 | 1147 | 55.62% | 652 | 1231 | 52.97% | 384 | 769 | 49.93% | 1227 | 729 | 1157 | 503 | 973 | 482 | 53.2% | 9.8% | 90.6% | 100.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1147 |
Neutral Zone Start | 769 |
Defensive Zone Start | 1231 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1674 |
Faceoffs Lost | 1473 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 31.7 | 30.68 |
Overtime | 32.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 137 |
---|---|
PP Goal | 33 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 16 | 13 |
Lost | 8 | 8 |
Overtime Lost | 4 | 6 |
PP Attempt | 168 |
---|---|
PP Goal | 33 |
PK Attempt | 166 |
PK Goal Against | 28 |
Home | |
---|---|
Shots For | 32.0 |
Shots Against | 29.3 |
Goals For | 3.1 |
Goals Against | 2.7 |
Hits | 20.0 |
Shots Blocked | 9.9 |
Pim | 6.7 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2024-10-06 | @ | Maple Leafs2,Canadiens3 (SO) | RECAP | ||
2024-10-07 | @ | Canadiens2,Bruins3 (SO) | RECAP | ||
2024-10-09 | @ | Senators2,Canadiens4 | RECAP | ||
2024-10-11 | @ | Penguins3,Canadiens4 (SO) | RECAP | ||
2024-10-14 | @ | Kings2,Canadiens1 | RECAP | ||
2024-10-16 | @ | Canadiens6,Islanders2 | RECAP | ||
2024-10-19 | @ | Rangers1,Canadiens4 | RECAP | ||
2024-10-23 | @ | Blues2,Canadiens6 | RECAP | ||
2024-10-24 | @ | Canadiens5,Flyers2 | RECAP | ||
2024-10-26 | @ | Kraken3,Canadiens4 (SO) | RECAP | ||
2024-10-28 | @ | Canadiens5,Capitals1 | RECAP | ||
2024-10-30 | @ | Canadiens2,Penguins5 | RECAP | ||
2024-11-02 | @ | Flames4,Canadiens2 | RECAP | ||
2024-11-04 | @ | Canadiens4,Devils6 | RECAP | ||
2024-11-06 | @ | Canadiens4,Maple Leafs1 | RECAP | ||
2024-11-08 | @ | Canadiens3,Sabres4 (OT) | RECAP | ||
2024-11-11 | @ | Canadiens4,Wild2 | RECAP | ||
2024-11-13 | @ | Blue Jackets2,Canadiens3 (SO) | RECAP | ||
2024-11-15 | @ | Oilers6,Canadiens5 (SO) | RECAP | ||
2024-11-20 | @ | Golden Knights3,Canadiens4 | RECAP | ||
2024-11-23 | @ | Utah Hockey Club2,Canadiens3 | RECAP | ||
2024-11-24 | @ | Canadiens5,Blue Jackets4 (SO) | RECAP | ||
2024-11-27 | @ | Canadiens6,Rangers1 | RECAP | ||
2024-11-28 | @ | Canadiens2,Bruins3 (SO) | RECAP | ||
2024-11-30 | @ | Islanders2,Canadiens1 (OT) | RECAP | ||
2024-12-02 | @ | Predators4,Canadiens3 (OT) | RECAP | ||
2024-12-04 | @ | Capitals3,Canadiens2 | RECAP | ||
2024-12-06 | @ | Ducks5,Canadiens1 | RECAP | ||
2024-12-09 | @ | Penguins1,Canadiens4 | RECAP | ||
2024-12-11 | @ | Canadiens3,Jets4 | RECAP | ||
2024-12-14 | @ | Sabres3,Canadiens5 | RECAP | ||
2024-12-17 | @ | Canadiens1,Red Wings3 | RECAP | ||
2024-12-18 | @ | Red Wings1,Canadiens4 | RECAP | ||
2024-12-20 | @ | Canadiens2,Blue Jackets3 | RECAP | ||
2024-12-25 | @ | Canadiens2,Panthers0 | RECAP | ||
2024-12-26 | @ | Canadiens2,Lightning1 | RECAP | ||
2024-12-28 | @ | Canadiens1,Golden Knights2 (OT) | RECAP | ||
2024-12-31 | @ | Canadiens1,Blackhawks3 | RECAP | ||
2025-01-01 | @ | Canadiens2,Avalanche3 (OT) | RECAP | ||
2025-01-03 | @ | Canucks2,Canadiens3 (SO) | RECAP | ||
2025-01-07 | @ | Canadiens3,Capitals4 (SO) | RECAP | ||
2025-01-08 | @ | Stars3,Canadiens2 | RECAP | ||
2025-01-11 | @ | Canadiens4,Utah Hockey Club1 | RECAP | ||
2025-01-13 | @ | Canadiens5,Stars3 | RECAP | ||
2025-01-15 | @ | Maple Leafs2,Canadiens1 | RECAP | ||
2025-01-16 | @ | Rangers3,Canadiens5 | RECAP | ||
2025-01-18 | @ | Lightning2,Canadiens4 | RECAP | ||
2025-01-20 | @ | Canadiens3,Red Wings2 | RECAP | ||
2025-01-22 | @ | Devils3,Canadiens2 | RECAP | ||
2025-01-25 | @ | Jets3,Canadiens4 (SO) | RECAP | ||
2025-01-27 | @ | Wild5,Canadiens4 (OT) | RECAP | ||
2025-01-30 | @ | Canadiens1,Ducks5 | RECAP | ||
2025-02-01 | @ | Canadiens2,Sharks5 | RECAP | ||
2025-02-02 | @ | Canadiens3,Kings1 | RECAP | ||
2025-02-05 | @ | Devils3,Canadiens2 | RECAP | ||
2025-02-06 | @ | ||||
2025-02-19 | @ | ||||
2025-02-22 | @ | ||||
2025-02-24 | @ | ||||
2025-02-26 | @ | ||||
2025-02-28 | @ | ||||
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2025-03-05 | @ | ||||
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2025-03-09 | @ | ||||
2025-03-12 | @ | ||||
2025-03-15 | @ | ||||
2025-03-17 | @ | ||||
2025-03-19 | @ | ||||
2025-03-22 | @ | ||||
2025-03-24 | @ | ||||
2025-03-25 | @ | ||||
2025-03-27 | @ | ||||
2025-03-29 | @ | ||||
2025-03-31 | @ | ||||
2025-04-02 | @ | ||||
2025-04-03 | @ | ||||
2025-04-05 | @ | ||||
2025-04-08 | @ | ||||
2025-04-09 | @ | ||||
2025-04-11 | @ | ||||
2025-04-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,841,666$ | 0$ | 82,841,666$ | 658,334$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Centre Bell | |
City | Montreal | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 155410 | 132695 | 53230 | 105105 | 26726 |
Attendance PCT | 92.51% | 94.78% | 95.05% | 93.84% | 95.45% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
13 | 16899 - 93.88% | 607,238$ | 17,002,673$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,841,666$ | 82,841,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
53,377,865$ | 82,841,666$ | 53,377,865$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
7,894,098$ | 68 | 422,662$ | 28,741,016$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
28,780,506$ | 82,841,666$ | -559,088,010$ | -579,974,418$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo mtl 2024 | |||||
Andrei Svetlakov | |||||
Anton Lindholm | |||||
Brian Lasoff | |||||
Cole Moberg | 2019 | 202 | |||
Connor Hall | 2016 | 96 | |||
Dane Birks | |||||
Dean Stewart | 2016 | 200 | |||
Egor Korshkov | |||||
Evan McEneny | |||||
Gabriel Landeskog | Link | ||||
Graham McPhee | 2016 | 163 | |||
Ilya Nabokov | 2024 | 21 | |||
Ivan Lodnia | |||||
Jesper Lindgren | |||||
Juuso Riikola | Link | ||||
Kale Howarth | |||||
Keith Petruzzelli | |||||
Klas Dahlbeck | |||||
Lean Bergmann | Link | ||||
Logan Shaw | Link | ||||
Luka Burzan | 2019 | 125 | |||
Matt Puempel | |||||
Mike Vecchione | Link | ||||
Otto Kivenmaki | 2018 | 203 | |||
Patric Virta | |||||
Patrice Bergeron | Link | ||||
Riley Nash | Link | ||||
Riley Stotts | 2018 | 93 | |||
Samuel Houde | 2018 | 147 | |||
Santtu Kinnunen | 2018 | 167 | |||
Spencer Smallman | |||||
Tanner Faith | |||||
Tobias Lindberg | |||||
Veini Vehvilainen | Link | ||||
Victor Antipin | |||||
Yegor Zaitsev | |||||
Zach Gallant | |||||
Ziyat Paigin |
|