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Full Scoreboard »» |
Montreal Canadiens 14-6-1, 29pts · 1st 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 | LW/RW | 100.00 | 59 | 41 | 96 | 87 | 69 | 73 | 80 | 85 | 25 | 80 | 92 | 60 | 75 | 55 | 55 | 82 | 50 | 0 | 26 | 1,800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 43 | 90 | 85 | 72 | 76 | 93 | 93 | 99 | 79 | 85 | 76 | 59 | 92 | 99 | 82 | 50 | 0 | 37 | 2,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 42 | 90 | 80 | 68 | 78 | 86 | 81 | 34 | 82 | 73 | 65 | 45 | 60 | 60 | 75 | 50 | 0 | 28 | 2,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 41 | 88 | 87 | 70 | 76 | 97 | 86 | 56 | 86 | 90 | 62 | 40 | 83 | 83 | 82 | 50 | 0 | 30 | 9,000,000$/5yrs | |||
![]() | 0 | C | 100.00 | 80 | 72 | 82 | 80 | 72 | 55 | 58 | 77 | 85 | 68 | 86 | 60 | 42 | 59 | 59 | 54 | 50 | 0 | 23 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 42 | 94 | 84 | 63 | 73 | 92 | 73 | 35 | 75 | 70 | 63 | 25 | 60 | 61 | 73 | 55 | 0 | 20 | 925,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 76 | 43 | 90 | 81 | 70 | 73 | 99 | 68 | 36 | 63 | 77 | 80 | 72 | 91 | 96 | 76 | 50 | 0 | 38 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 69 | 42 | 90 | 77 | 70 | 72 | 81 | 81 | 46 | 74 | 86 | 64 | 57 | 60 | 61 | 78 | 50 | 0 | 23 | 825,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 43 | 87 | 83 | 67 | 79 | 96 | 83 | 99 | 84 | 89 | 71 | 61 | 88 | 89 | 84 | 50 | 0 | 34 | 6,500,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 43 | 93 | 81 | 69 | 73 | 93 | 81 | 38 | 79 | 94 | 73 | 63 | 71 | 72 | 84 | 50 | 0 | 26 | 5,000,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 44 | 88 | 85 | 75 | 73 | 87 | 66 | 78 | 72 | 62 | 86 | 25 | 68 | 68 | 73 | 50 | 0 | 27 | 2,650,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 54 | 85 | 81 | 77 | 84 | 95 | 89 | 44 | 86 | 91 | 67 | 25 | 69 | 72 | 84 | 50 | 0 | 30 | 5,500,000$/6yrs | |||
![]() | 0 | D | 100.00 | 82 | 59 | 85 | 84 | 81 | 77 | 94 | 61 | 25 | 52 | 48 | 95 | 25 | 71 | 74 | 67 | 50 | 0 | 25 | 4,100,000$/5yrs | |||
![]() | 0 | D | 100.00 | 76 | 54 | 84 | 88 | 72 | 90 | 96 | 90 | 25 | 80 | 61 | 71 | 25 | 71 | 73 | 75 | 50 | 0 | 27 | 6,250,000$/6yrs | |||
![]() | 0 | D | 100.00 | 63 | 41 | 86 | 87 | 70 | 95 | 83 | 91 | 25 | 84 | 69 | 72 | 59 | 83 | 83 | 78 | 50 | 0 | 32 | 11,500,000$/5yrs | |||
![]() | 0 | D | 100.00 | 83 | 67 | 74 | 78 | 85 | 79 | 61 | 58 | 25 | 53 | 48 | 96 | 25 | 70 | 74 | 65 | 50 | 0 | 29 | 3,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 56 | 85 | 74 | 80 | 81 | 92 | 60 | 25 | 54 | 48 | 93 | 25 | 66 | 67 | 66 | 50 | 0 | 30 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 45 | 89 | 84 | 73 | 86 | 88 | 71 | 25 | 70 | 51 | 85 | 25 | 77 | 81 | 70 | 50 | 0 | 31 | 5,100,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 48 | 88 | 83 | 72 | 77 | 87 | 77 | 46 | 73 | 73 | 74 | 43 | 72 | 74 | 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 | 74 | 57 | 60 | 79 | 79 | 68 | 84 | 75 | 80 | 74 | 92 | 74 | 77 | 74 | 50 | 0 | 34 | 5,000,000$/1yrs |
![]() | 0 | 100.00 | 95 | 75 | 73 | 86 | 99 | 91 | 99 | 95 | 99 | 95 | 95 | 63 | 64 | 93 | 50 | 0 | 29 | 5,000,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 85 | 66 | 67 | 83 | 89 | 80 | 92 | 85 | 90 | 85 | 94 | 69 | 71 | 84 | 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 | 81 | 79 | 86 | 75 | 79 | 56 | 58 | 51 | 25 | 46 | 40 | 65 | 38 | 45 | 45 | 54 | 54 | 0 | 21 | 916,667$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 67 | 43 | 93 | 81 | 76 | 69 | 63 | 65 | 25 | 52 | 50 | 68 | 75 | 71 | 71 | 62 | 23 | 0 | 29 | 850,000$/2yrs |
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 | Zach Hyman | 0 | LW/RW | 20 | 5 | 14 | 19 | 2 | 17 | 5 | 20 | 67 | 17 | 38 | 7.46% | 7 | 17.79 | 2 | 7 | 9 | 53 | 0 | 0 | 0 | 0 | 1 | 0 | 43.48% | 23 | 15 | 6 | 0 | 0 | 1.07 | 0 | 3 | ||
2 | Jared McCann | 0 | C/LW | 21 | 9 | 9 | 18 | 9 | 0 | 0 | 31 | 45 | 18 | 27 | 20.00% | 7 | 17.90 | 2 | 3 | 5 | 54 | 0 | 0 | 0 | 4 | 1 | 0 | 33.33% | 33 | 8 | 5 | 0 | 0 | 0.96 | 2 | 3 | ||
3 | Claude Giroux | 0 | C/RW | 21 | 7 | 8 | 15 | 7 | 8 | 0 | 35 | 71 | 23 | 33 | 9.86% | 6 | 21.04 | 2 | 0 | 2 | 50 | 0 | 0 | 0 | 11 | 1 | 1 | 59.82% | 555 | 9 | 8 | 0 | 0 | 0.68 | 0 | 1 | ||
4 | Joshua Norris | 0 | C | 21 | 5 | 8 | 13 | 7 | 6 | 0 | 26 | 44 | 11 | 26 | 11.36% | 1 | 12.25 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 16 | 1 | 1 | 50.81% | 124 | 6 | 3 | 0 | 0 | 1.01 | 0 | 0 | ||
5 | Andrei Kuzmenko | 0 | LW/RW | 21 | 6 | 6 | 12 | 4 | 0 | 0 | 23 | 65 | 24 | 43 | 9.23% | 10 | 20.21 | 0 | 0 | 0 | 57 | 1 | 0 | 1 | 16 | 3 | 0 | 20.69% | 29 | 20 | 6 | 0 | 0 | 0.57 | 1 | 3 | ||
6 | Gabriel Vilardi | 0 | C/RW | 21 | 6 | 6 | 12 | 7 | 0 | 0 | 18 | 42 | 20 | 25 | 14.29% | 5 | 11.05 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 1 | 2 | 0 | 60.00% | 10 | 2 | 1 | 0 | 0 | 1.03 | 0 | 0 | ||
7 | Alexander Barabanov | 0 | LW/RW | 21 | 5 | 6 | 11 | 5 | 4 | 0 | 16 | 39 | 25 | 27 | 12.82% | 5 | 12.27 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 2 | 0 | 2 | 11.11% | 9 | 11 | 3 | 0 | 0 | 0.85 | 0 | 0 | ||
8 | Patrice Bergeron | 0 | C | 21 | 1 | 9 | 10 | 6 | 0 | 0 | 35 | 74 | 19 | 34 | 1.35% | 8 | 19.26 | 0 | 1 | 1 | 59 | 0 | 0 | 0 | 45 | 0 | 0 | 56.77% | 347 | 11 | 3 | 0 | 0 | 0.49 | 0 | 0 | ||
9 | Dmitry Orlov | 0 | D | 20 | 2 | 8 | 10 | 4 | 0 | 0 | 19 | 30 | 7 | 11 | 6.67% | 26 | 23.93 | 2 | 1 | 3 | 59 | 0 | 0 | 0 | 5 | 1 | 0 | 0.00% | 0 | 6 | 14 | 0 | 0 | 0.42 | 0 | 0 | ||
10 | Jeff Skinner | 0 | LW/RW | 21 | 4 | 3 | 7 | 1 | 6 | 0 | 29 | 80 | 27 | 34 | 5.00% | 6 | 19.51 | 1 | 1 | 2 | 59 | 0 | 0 | 0 | 0 | 0 | 0 | 65.62% | 32 | 26 | 3 | 0 | 0 | 0.34 | 1 | 2 | ||
11 | Erik Karlsson | 0 | D | 21 | 0 | 7 | 7 | 13 | 6 | 0 | 27 | 46 | 14 | 13 | 0.00% | 31 | 26.08 | 0 | 1 | 1 | 65 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 17 | 18 | 0 | 0 | 0.26 | 0 | 0 | ||
12 | Joshua Morrissey | 0 | D | 21 | 2 | 3 | 5 | 6 | 18 | 0 | 43 | 45 | 17 | 20 | 4.44% | 24 | 23.31 | 0 | 1 | 1 | 68 | 0 | 0 | 0 | 12 | 0 | 1 | 0.00% | 0 | 8 | 9 | 0 | 0 | 0.20 | 0 | 0 | ||
13 | Justin Holl | 0 | D | 21 | 1 | 4 | 5 | 6 | 7 | 5 | 17 | 14 | 3 | 4 | 7.14% | 22 | 15.57 | 0 | 1 | 1 | 33 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 6 | 0 | 0 | 0.31 | 0 | 0 | ||
14 | Brandon Carlo | 0 | D | 21 | 1 | 3 | 4 | 2 | 9 | 5 | 23 | 24 | 12 | 13 | 4.17% | 24 | 18.70 | 1 | 0 | 1 | 12 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 4 | 9 | 0 | 0 | 0.20 | 0 | 0 | ||
15 | Seth Jarvis | 0 | RW | 17 | 3 | 1 | 4 | 1 | 7 | 5 | 12 | 15 | 8 | 6 | 20.00% | 2 | 7.47 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 7 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
16 | Zach Parise | 0 | LW | 21 | 0 | 3 | 3 | 2 | 0 | 0 | 11 | 13 | 10 | 6 | 0.00% | 2 | 8.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 50.00% | 4 | 4 | 6 | 0 | 0 | 0.32 | 0 | 0 | ||
17 | Jason Dickinson | 0 | C/LW | 21 | 2 | 1 | 3 | 2 | 0 | 0 | 16 | 18 | 7 | 9 | 11.11% | 4 | 9.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 55.22% | 67 | 6 | 6 | 0 | 0 | 0.30 | 0 | 0 | ||
18 | Joel Edmundson | 0 | D | 21 | 0 | 2 | 2 | 5 | 21 | 5 | 21 | 13 | 2 | 5 | 0.00% | 19 | 14.66 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 2 | 4 | 0 | 0 | 0.13 | 0 | 0 | ||
Team Total or Average | 372 | 59 | 101 | 160 | 89 | 109 | 25 | 422 | 745 | 264 | 374 | 7.92% | 209 | 16.71 | 10 | 16 | 26 | 593 | 1 | 0 | 1 | 287 | 10 | 5 | 55.64% | 1233 | 162 | 110 | 0 | 0 | 0.51 | 4 | 12 |
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 | Linus Ullmark | 18 | 13 | 4 | 1 | 0.942 | 1.82 | 1091 | 2 | 1 | 33 | 571 | 253 | 1 | 0 | 0.857 | 7 | 18 | 3 | 5 | 4 | 0 | |
2 | Semyon Varlamov | 10 | 5 | 4 | 1 | 0.914 | 2.86 | 609 | 2 | 0 | 29 | 337 | 173 | 0 | 0 | 0.727 | 11 | 10 | 10 | 1 | 0 | 0 | |
Team Total or Average | 28 | 18 | 8 | 2 | 0.932 | 2.19 | 1700 | 4 | 1 | 62 | 908 | 426 | 1 | 0 | 0.778 | 18 | 28 | 13 | 6 | 4 | 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 |
# | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 2 | 0 | 50 | 23 | 16 | 11 | 0 | 59 | 24 | 13 | 42 | 8 | 2 | 25.00% | 4 | 1 | 75.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 42 | 23 | 42 | 17 | 35 | 18 | 50.0% | 10.0% | 93.2% | 103.2 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 35 | 13 | 13 | 9 | 0 | 33 | 11 | 6 | 21 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 13 | 19 | 8 | 17 | 8 | 66.7% | 5.7% | 97.0% | 102.7 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 35 | 17 | 6 | 12 | 0 | 36 | 13 | 0 | 25 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 13 | 19 | 8 | 17 | 9 | 20.0% | 5.7% | 88.9% | 94.6 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 0 | 30 | 4 | 18 | 8 | 0 | 32 | 9 | 9 | 19 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 21 | 12 | 21 | 8 | 16 | 8 | 75.0% | 13.3% | 96.9% | 110.2 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 38 | 17 | 11 | 10 | 0 | 32 | 9 | 2 | 21 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 13 | 20 | 9 | 17 | 9 | 80.0% | 10.5% | 96.9% | 107.4 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 2 | 1 | 0 | 0 | 44 | 6 | 17 | 21 | 0 | 24 | 15 | 0 | 29 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 24 | 16 | 18 | 8 | 16 | 8 | 100.0% | 6.8% | 100.0% | 106.8 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 34 | 6 | 12 | 16 | 0 | 33 | 7 | 8 | 23 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 21 | 11 | 20 | 9 | 18 | 8 | 25.0% | 5.9% | 84.8% | 90.7 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 12 | 8 | 12 | 0 | 39 | 12 | 10 | 23 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 23 | 13 | 18 | 8 | 17 | 8 | 33.3% | 3.1% | 92.3% | 95.4 | DULL | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 33 | 7 | 14 | 12 | 0 | 39 | 13 | 2 | 21 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 14 | 20 | 8 | 17 | 9 | 75.0% | 12.1% | 97.4% | 109.6 | LUCKY | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 2 | 35 | 17 | 10 | 6 | 4 | 25 | 8 | 4 | 19 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 23 | 13 | 20 | 9 | 20 | 10 | 66.7% | 5.7% | 96.0% | 101.7 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 2 | 0 | 0 | 48 | 11 | 22 | 15 | 0 | 21 | 12 | 5 | 25 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 26 | 17 | 17 | 7 | 15 | 9 | 83.3% | 10.4% | 95.2% | 105.7 | LUCKY | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 1 | 2 | 37 | 15 | 10 | 12 | 4 | 29 | 9 | 7 | 23 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 21 | 12 | 23 | 10 | 19 | 10 | 75.0% | 8.1% | 93.1% | 101.2 | DULL | |
13 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 2 | 1 | 30 | 11 | 6 | 11 | 2 | 34 | 4 | 6 | 17 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 12 | 21 | 9 | 19 | 9 | 75.0% | 10.0% | 94.1% | 104.1 | LUCKY | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 33 | 12 | 10 | 11 | 0 | 35 | 6 | 6 | 20 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 21 | 12 | 21 | 8 | 16 | 8 | 50.0% | 6.1% | 91.4% | 97.5 | DULL | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 42 | 7 | 17 | 18 | 0 | 32 | 5 | 10 | 19 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 24 | 15 | 19 | 8 | 16 | 8 | 33.3% | 4.8% | 90.6% | 95.4 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 37 | 14 | 13 | 10 | 0 | 24 | 7 | 2 | 31 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 23 | 14 | 17 | 8 | 18 | 9 | 75.0% | 8.1% | 95.8% | 103.9 | DULL | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 30 | 13 | 8 | 9 | 0 | 29 | 8 | 10 | 20 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 12 | 19 | 8 | 17 | 9 | 100.0% | 10.0% | 96.6% | 106.6 | LUCKY | |
18 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 35 | 6 | 16 | 12 | 6 | 40 | 12 | 6 | 23 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 21 | 11 | 24 | 9 | 18 | 9 | 42.9% | 8.6% | 90.0% | 98.6 | Unlucky | |
19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 2 | 4 | 0 | 77 | 20 | 42 | 15 | 0 | 67 | 24 | 14 | 42 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 1 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 42 | 24 | 43 | 19 | 34 | 17 | 77.8% | 9.1% | 94.0% | 103.1 | LUCKY | |
_Vs Division | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 21 | 7 | 14 | 10 | 0.833 | 21 | 34 | 55 | 0 | 1 | 5 | 11 | 5 | 0 | 205 | 51 | 87 | 67 | 0 | 175 | 73 | 29 | 136 | 22 | 4 | 18.18% | 7 | 1 | 85.71% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 137 | 84 | 121 | 50 | 101 | 53 | 73.9% | 10.2% | 96.0% | 106.2 | LUCKY | |
_Vs Conference | 9 | 6 | 2 | 0 | 1 | 0 | 0 | 0 | 29 | 15 | 14 | 14 | 0.778 | 29 | 45 | 74 | 0 | 1 | 6 | 13 | 9 | 1 | 306 | 82 | 118 | 104 | 2 | 266 | 91 | 45 | 207 | 31 | 5 | 16.13% | 15 | 4 | 73.33% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 205 | 124 | 179 | 77 | 157 | 82 | 68.6% | 9.5% | 94.4% | 103.8 | LUCKY | |
_Since Last GM Reset | 21 | 11 | 6 | 0 | 1 | 0 | 2 | 1 | 60 | 42 | 18 | 29 | 0.690 | 60 | 97 | 157 | 0 | 1 | 14 | 26 | 17 | 5 | 735 | 231 | 269 | 230 | 16 | 663 | 208 | 120 | 463 | 65 | 7 | 10.77% | 50 | 11 | 78.00% | 1 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 474 | 280 | 431 | 186 | 371 | 191 | 63.1% | 8.2% | 93.7% | 101.8 | DULL | |
Total | 21 | 11 | 6 | 0 | 1 | 0 | 2 | 1 | 60 | 42 | 18 | 29 | 0.690 | 60 | 97 | 157 | 0 | 1 | 14 | 26 | 17 | 5 | 735 | 231 | 269 | 230 | 16 | 663 | 208 | 120 | 463 | 65 | 7 | 10.77% | 50 | 11 | 78.00% | 1 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 474 | 280 | 431 | 186 | 371 | 191 | 63.1% | 8.2% | 93.7% | 101.8 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 447 |
Neutral Zone Start | 289 |
Defensive Zone Start | 489 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 687 |
Faceoffs Lost | 538 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 23.8 | 20.31 |
3rd Period | 34.8 | 30.68 |
Overtime | 35.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 52 |
---|---|
PP Goal | 7 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 7 |
Lost | 3 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 65 |
---|---|
PP Goal | 7 |
PK Attempt | 50 |
PK Goal Against | 11 |
Home | |
---|---|
Shots For | 35.0 |
Shots Against | 31.6 |
Goals For | 2.9 |
Goals Against | 2.0 |
Hits | 22.0 |
Shots Blocked | 9.9 |
Pim | 5.7 |
Projected Total Cap Hit | 81,325,000$ |
Projected Cap Space | 1,175,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 21,304,287$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Canadiens Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Barabanov ![]() | LW/RW | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Andrei Kuzmenko ![]() | LW/RW | 26 | 1,800,000$ | 1,800,000$ | |||||||
Brandon Carlo ![]() | D | 25 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | |||
Claude Giroux ![]() | C/RW | 34 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | |||||
Dmitry Orlov ![]() | D | 31 | 5,100,000$ | 5,100,000$ | |||||||
Erik Karlsson ![]() | D | 32 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | |||
Gabriel Vilardi ![]() | C/RW | 23 | 825,000$ | 825,000$ | |||||||
Jared McCann ![]() | C/LW | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||
Jason Dickinson ![]() | C/LW | 27 | 2,650,000$ | 2,650,000$ | 2,650,000$ | ||||||
Jeff Skinner ![]() | LW/RW | 30 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | |||
Joel Edmundson ![]() | D | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||||
Joshua Morrissey ![]() | D | 27 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | ||
Joshua Norris ![]() | C | 23 | 925,000$ | 925,000$ | |||||||
Justin Holl ![]() | D | 30 | 2,000,000$ | 2,000,000$ | |||||||
Linus Ullmark ![]() | G | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Patrice Bergeron ![]() | C | 37 | 2,500,000$ | 2,500,000$ | |||||||
Semyon Varlamov ![]() | G | 34 | 5,000,000$ | 5,000,000$ | |||||||
Seth Jarvis ![]() | RW | 20 | 925,000$ | 925,000$ | 925,000$ | ||||||
Zach Hyman ![]() | LW/RW | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||
Zach Parise ![]() | LW | 38 | 750,000$ | 750,000$ |
Forward Lines | |||||||
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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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 2 | 0 | 50 | 23 | 16 | 11 | 0 | 59 | 24 | 13 | 42 | 8 | 2 | 25.00% | 4 | 1 | 75.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 42 | 23 | 42 | 17 | 35 | 18 | 50.0% | 10.0% | 93.2% | 103.2 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 35 | 13 | 13 | 9 | 0 | 33 | 11 | 6 | 21 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 13 | 19 | 8 | 17 | 8 | 66.7% | 5.7% | 97.0% | 102.7 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 35 | 17 | 6 | 12 | 0 | 36 | 13 | 0 | 25 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 13 | 19 | 8 | 17 | 9 | 20.0% | 5.7% | 88.9% | 94.6 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 0 | 30 | 4 | 18 | 8 | 0 | 32 | 9 | 9 | 19 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 21 | 12 | 21 | 8 | 16 | 8 | 75.0% | 13.3% | 96.9% | 110.2 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 38 | 17 | 11 | 10 | 0 | 32 | 9 | 2 | 21 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 13 | 20 | 9 | 17 | 9 | 80.0% | 10.5% | 96.9% | 107.4 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 2 | 1 | 0 | 0 | 44 | 6 | 17 | 21 | 0 | 24 | 15 | 0 | 29 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 24 | 16 | 18 | 8 | 16 | 8 | 100.0% | 6.8% | 100.0% | 106.8 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 34 | 6 | 12 | 16 | 0 | 33 | 7 | 8 | 23 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 21 | 11 | 20 | 9 | 18 | 8 | 25.0% | 5.9% | 84.8% | 90.7 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 12 | 8 | 12 | 0 | 39 | 12 | 10 | 23 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 23 | 13 | 18 | 8 | 17 | 8 | 33.3% | 3.1% | 92.3% | 95.4 | DULL | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 33 | 7 | 14 | 12 | 0 | 39 | 13 | 2 | 21 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 14 | 20 | 8 | 17 | 9 | 75.0% | 12.1% | 97.4% | 109.6 | LUCKY | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 2 | 35 | 17 | 10 | 6 | 4 | 25 | 8 | 4 | 19 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 23 | 13 | 20 | 9 | 20 | 10 | 66.7% | 5.7% | 96.0% | 101.7 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 2 | 0 | 0 | 48 | 11 | 22 | 15 | 0 | 21 | 12 | 5 | 25 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 26 | 17 | 17 | 7 | 15 | 9 | 83.3% | 10.4% | 95.2% | 105.7 | LUCKY | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 1 | 2 | 37 | 15 | 10 | 12 | 4 | 29 | 9 | 7 | 23 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 21 | 12 | 23 | 10 | 19 | 10 | 75.0% | 8.1% | 93.1% | 101.2 | DULL | |
13 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 2 | 1 | 30 | 11 | 6 | 11 | 2 | 34 | 4 | 6 | 17 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 12 | 21 | 9 | 19 | 9 | 75.0% | 10.0% | 94.1% | 104.1 | LUCKY | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 33 | 12 | 10 | 11 | 0 | 35 | 6 | 6 | 20 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 21 | 12 | 21 | 8 | 16 | 8 | 50.0% | 6.1% | 91.4% | 97.5 | DULL | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 42 | 7 | 17 | 18 | 0 | 32 | 5 | 10 | 19 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 24 | 15 | 19 | 8 | 16 | 8 | 33.3% | 4.8% | 90.6% | 95.4 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 37 | 14 | 13 | 10 | 0 | 24 | 7 | 2 | 31 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 23 | 14 | 17 | 8 | 18 | 9 | 75.0% | 8.1% | 95.8% | 103.9 | DULL | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 30 | 13 | 8 | 9 | 0 | 29 | 8 | 10 | 20 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 22 | 12 | 19 | 8 | 17 | 9 | 100.0% | 10.0% | 96.6% | 106.6 | LUCKY | |
18 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 35 | 6 | 16 | 12 | 6 | 40 | 12 | 6 | 23 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 21 | 11 | 24 | 9 | 18 | 9 | 42.9% | 8.6% | 90.0% | 98.6 | Unlucky | |
19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 2 | 4 | 0 | 77 | 20 | 42 | 15 | 0 | 67 | 24 | 14 | 42 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 1 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 42 | 24 | 43 | 19 | 34 | 17 | 77.8% | 9.1% | 94.0% | 103.1 | LUCKY | |
_Vs Division | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 21 | 7 | 14 | 10 | 0.833 | 21 | 34 | 55 | 0 | 1 | 5 | 11 | 5 | 0 | 205 | 51 | 87 | 67 | 0 | 175 | 73 | 29 | 136 | 22 | 4 | 18.18% | 7 | 1 | 85.71% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 137 | 84 | 121 | 50 | 101 | 53 | 73.9% | 10.2% | 96.0% | 106.2 | LUCKY | |
_Vs Conference | 9 | 6 | 2 | 0 | 1 | 0 | 0 | 0 | 29 | 15 | 14 | 14 | 0.778 | 29 | 45 | 74 | 0 | 1 | 6 | 13 | 9 | 1 | 306 | 82 | 118 | 104 | 2 | 266 | 91 | 45 | 207 | 31 | 5 | 16.13% | 15 | 4 | 73.33% | 0 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 205 | 124 | 179 | 77 | 157 | 82 | 68.6% | 9.5% | 94.4% | 103.8 | LUCKY | |
_Since Last GM Reset | 21 | 11 | 6 | 0 | 1 | 0 | 2 | 1 | 60 | 42 | 18 | 29 | 0.690 | 60 | 97 | 157 | 0 | 1 | 14 | 26 | 17 | 5 | 735 | 231 | 269 | 230 | 16 | 663 | 208 | 120 | 463 | 65 | 7 | 10.77% | 50 | 11 | 78.00% | 1 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 474 | 280 | 431 | 186 | 371 | 191 | 63.1% | 8.2% | 93.7% | 101.8 | DULL | |
Total | 21 | 11 | 6 | 0 | 1 | 0 | 2 | 1 | 60 | 42 | 18 | 29 | 0.690 | 60 | 97 | 157 | 0 | 1 | 14 | 26 | 17 | 5 | 735 | 231 | 269 | 230 | 16 | 663 | 208 | 120 | 463 | 65 | 7 | 10.77% | 50 | 11 | 78.00% | 1 | 237 | 447 | 53.02% | 291 | 489 | 59.51% | 159 | 289 | 55.02% | 474 | 280 | 431 | 186 | 371 | 191 | 63.1% | 8.2% | 93.7% | 101.8 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 447 |
Neutral Zone Start | 289 |
Defensive Zone Start | 489 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 687 |
Faceoffs Lost | 538 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 23.8 | 20.31 |
3rd Period | 34.8 | 30.68 |
Overtime | 35.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 52 |
---|---|
PP Goal | 7 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 7 |
Lost | 3 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 65 |
---|---|
PP Goal | 7 |
PK Attempt | 50 |
PK Goal Against | 11 |
Home | |
---|---|
Shots For | 35.0 |
Shots Against | 31.6 |
Goals For | 2.9 |
Goals Against | 2.0 |
Hits | 22.0 |
Shots Blocked | 9.9 |
Pim | 5.7 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,325,000$ | 0$ | 81,325,000$ | 1,175,000$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 60409 | 52020 | 20133 | 41006 | 10604 |
Attendance PCT | 91.53% | 94.58% | 91.51% | 93.20% | 96.40% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 16743 - 93.02% | 603,316$ | 6,636,481$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,325,000$ | 81,325,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
21,304,287$ | 81,325,000$ | 21,304,287$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
18,099,494$ | 142 | 423,568$ | 60,146,656$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
61,228,561$ | 81,325,000$ | -480,991,038$ | -524,120,105$ |
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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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Priority | Type | Description |
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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 |
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1 ballo bos 2023 | |||||
Andrei Svetlakov | |||||
Andrew Poturalski | Link | ||||
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 | |||
Ivan Lodnia | |||||
Jesper Lindgren | |||||
Juuso Riikola | Link | ||||
Kale Howarth | |||||
Keith Petruzzelli | |||||
Klas Dahlbeck | |||||
Lean Bergmann | Link | ||||
Logan Mailloux | 2021 | 38 | |||
Logan Shaw | Link | ||||
Luka Burzan | 2019 | 125 | |||
Matt Puempel | |||||
Mike Vecchione | Link | ||||
Otto Kivenmaki | 2018 | 203 | |||
Patric Virta | |||||
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 |
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