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Full Scoreboard »» |
Montreal Canadiens 27-35-7, 61pts · 12th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 22 | LW/RW | 100.00 | 97 | 48 | 83 | 65 | 70 | 77 | 88 | 64 | 53 | 67 | 66 | 87 | 64 | 77 | 73 | 0 | 34 | 82 | 28 | 3,500,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 84 | 45 | 73 | 76 | 83 | 81 | 85 | 71 | 54 | 67 | 72 | 62 | 76 | 67 | 70 | 0 | 22 | 81 | 24 | 4,500,000$/5yrs | |||
![]() | 18 | C/LW/RW | 100.00 | 53 | 39 | 88 | 73 | 74 | 83 | 81 | 72 | 80 | 77 | 64 | 63 | 72 | 61 | 64 | 0 | 34 | 79 | 21 | 894,166$/1yrs | |||
![]() | 17 | C/LW | 100.00 | 88 | 51 | 77 | 65 | 81 | 72 | 74 | 64 | 80 | 63 | 62 | 76 | 61 | 82 | 74 | 0 | 34 | 79 | 34 | 5,850,000$/1yrs | |||
![]() | 53 | LW | 100.00 | 57 | 39 | 90 | 76 | 72 | 83 | 86 | 73 | 61 | 62 | 68 | 60 | 71 | 77 | 70 | 0 | 34 | 79 | 28 | 9,000,000$/7yrs | |||
![]() | 88 | C/RW | 100.00 | 63 | 39 | 88 | 71 | 78 | 80 | 77 | 69 | 70 | 68 | 67 | 63 | 72 | 62 | 66 | 0 | 34 | 78 | 21 | 894,166$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 86 | 39 | 90 | 64 | 72 | 75 | 79 | 63 | 54 | 62 | 61 | 77 | 63 | 78 | 70 | 0 | 37 | 78 | 30 | 2,750,000$/1yrs | |||
![]() | 12 | LW/RW | 100.00 | 69 | 48 | 89 | 66 | 92 | 75 | 73 | 65 | 61 | 63 | 64 | 66 | 68 | 67 | 63 | 0 | 33 | 77 | 24 | 1,250,000$/3yrs | |||
![]() | 15 | C | 100.00 | 69 | 43 | 82 | 67 | 80 | 76 | 79 | 68 | 80 | 69 | 63 | 66 | 71 | 59 | 62 | 0 | 34 | 76 | 20 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 72 | 43 | 89 | 61 | 77 | 69 | 86 | 62 | 80 | 63 | 59 | 73 | 62 | 79 | 72 | 0 | 16 | 76 | 31 | 2,750,000$/1yrs | |||
![]() | 11 | LW/RW | 100.00 | 67 | 59 | 80 | 62 | 81 | 88 | 89 | 60 | 63 | 61 | 58 | 64 | 62 | 77 | 69 | 0 | 54 | 74 | 29 | 1,200,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 58 | 42 | 89 | 61 | 68 | 77 | 71 | 60 | 52 | 58 | 59 | 57 | 59 | 67 | 64 | 0 | 33 | 70 | 24 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 39 | 82 | 75 | 73 | 88 | 81 | 74 | 30 | 79 | 70 | 83 | 55 | 77 | 69 | 0 | 17 | 85 | 29 | 5,950,000$/5yrs | |||
![]() | 22 | D | 100.00 | 59 | 45 | 83 | 67 | 85 | 87 | 84 | 66 | 30 | 75 | 64 | 90 | 52 | 71 | 66 | 0 | 34 | 83 | 25 | 4,025,000$/4yrs | |||
![]() | 55 | D | 100.00 | 81 | 43 | 81 | 65 | 76 | 86 | 72 | 64 | 30 | 73 | 54 | 81 | 48 | 79 | 72 | 0 | 15 | 82 | 32 | 4,500,000$/1yrs | |||
![]() | 24 | D | 100.00 | 62 | 48 | 79 | 67 | 81 | 88 | 79 | 65 | 30 | 72 | 64 | 90 | 55 | 78 | 68 | 0 | 37 | 82 | 30 | 6,000,000$/5yrs | |||
![]() | 29 | D | 100.00 | 62 | 46 | 83 | 72 | 75 | 82 | 88 | 70 | 30 | 75 | 71 | 63 | 55 | 67 | 65 | 0 | 35 | 82 | 23 | 2,500,000$/2yrs | |||
![]() | 57 | D | 100.00 | 71 | 39 | 75 | 68 | 72 | 85 | 83 | 65 | 30 | 66 | 63 | 67 | 52 | 63 | 62 | 0 | 31 | 76 | 22 | 925,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 44 | 83 | 68 | 77 | 81 | 81 | 66 | 54 | 68 | 64 | 72 | 62 | 72 | 68 | 0 | 32 | 79 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 45 | 100.00 | 87 | 95 | 93 | 71 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 80 | 86 | 0 | 34 | 86 | 32 | 3,000,000$/1yrs |
![]() | 30 | 100.00 | 79 | 78 | 76 | 85 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 69 | 73 | 0 | 19 | 80 | 24 | 1,050,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 90 | 0.00 | 90 | 85 | 83 | 80 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 71 | 75 | 0 | 16 | 87 | 26 | 4,000,000$/2yrs |
TEAM AVERAGE | 66.67 | 85 | 86 | 84 | 79 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 73 | 78 | 0 | 23 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Sheldon Keefe | 73 | 72 | 81 | 75 | 59 | 55 | 86 | CAN | 39 | 1 | 1,000,000$ |
General Manager | Fergy Ferg |
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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 | Nate Schmidt | 0 | D | 71 | 8 | 42 | 50 | -12 | 19 | 5 | 23 | 124 | 40 | 97 | 6.45% | 94 | 22.64 | 5 | 9 | 14 | 243 | 0 | 0 | 0 | 96 | 5 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
2 | Brett Pesce | 22 | D | 69 | 8 | 29 | 37 | -1 | 52 | 0 | 90 | 101 | 28 | 70 | 7.92% | 92 | 23.51 | 2 | 7 | 9 | 220 | 0 | 0 | 0 | 190 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
3 | Martin Necas | 88 | C/RW | 69 | 12 | 19 | 31 | -5 | 4 | 0 | 38 | 120 | 26 | 80 | 10.00% | 5 | 17.66 | 3 | 4 | 7 | 208 | 0 | 0 | 0 | 0 | 1 | 1 | 43.31% | 1016 | 0 | 0 | 0 | 0 | 0.51 | 1 | 1 | ||
4 | Jesperi Kotkaniemi | 15 | C | 69 | 14 | 16 | 30 | -14 | 22 | 0 | 112 | 118 | 26 | 88 | 11.86% | 13 | 15.62 | 2 | 3 | 5 | 178 | 0 | 0 | 0 | 26 | 1 | 0 | 45.99% | 1209 | 0 | 0 | 0 | 0 | 0.56 | 0 | 1 | ||
5 | Travis Hamonic | 24 | D | 69 | 7 | 23 | 30 | 7 | 63 | 15 | 102 | 69 | 34 | 45 | 10.14% | 75 | 18.85 | 1 | 2 | 3 | 76 | 1 | 0 | 1 | 176 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
6 | Robert Thomas | 18 | C/LW/RW | 69 | 8 | 21 | 29 | -4 | 6 | 0 | 35 | 150 | 29 | 78 | 5.33% | 11 | 18.52 | 1 | 7 | 8 | 204 | 0 | 1 | 1 | 38 | 3 | 0 | 55.00% | 80 | 0 | 0 | 0 | 0 | 0.45 | 1 | 1 | ||
7 | Jeff Skinner | 53 | LW | 69 | 17 | 11 | 28 | -4 | 18 | 0 | 48 | 152 | 35 | 97 | 11.18% | 4 | 19.82 | 2 | 3 | 5 | 241 | 0 | 0 | 0 | 49 | 2 | 1 | 47.14% | 210 | 0 | 0 | 0 | 0 | 0.41 | 2 | 5 | ||
8 | Jake Virtanen | 0 | RW | 68 | 12 | 9 | 21 | -10 | 52 | 10 | 147 | 83 | 28 | 74 | 14.46% | 6 | 14.53 | 2 | 0 | 2 | 24 | 0 | 0 | 0 | 0 | 1 | 1 | 34.62% | 52 | 0 | 0 | 0 | 1 | 0.42 | 0 | 1 | ||
9 | Brandon Tanev | 22 | LW/RW | 69 | 7 | 11 | 18 | 6 | 22 | 0 | 68 | 96 | 27 | 56 | 7.29% | 18 | 11.83 | 1 | 0 | 1 | 61 | 0 | 0 | 0 | 239 | 0 | 0 | 37.78% | 90 | 0 | 0 | 0 | 0 | 0.44 | 0 | 1 | ||
10 | Brandon Dubinsky | 17 | C/LW | 69 | 11 | 6 | 17 | 1 | 14 | 0 | 85 | 40 | 20 | 36 | 27.50% | 7 | 11.66 | 2 | 2 | 4 | 89 | 0 | 0 | 0 | 206 | 1 | 0 | 49.14% | 983 | 0 | 0 | 1 | 0 | 0.42 | 0 | 0 | ||
11 | Pierre Engvall | 12 | LW/RW | 69 | 8 | 9 | 17 | -15 | 25 | 15 | 45 | 84 | 24 | 55 | 9.52% | 4 | 12.77 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 51 | 0 | 0 | 47.06% | 85 | 0 | 0 | 0 | 0 | 0.39 | 0 | 1 | ||
12 | Riley Nash | 0 | C/LW/RW | 70 | 7 | 9 | 16 | -6 | 18 | 0 | 45 | 60 | 13 | 53 | 11.67% | 13 | 11.91 | 1 | 0 | 1 | 36 | 0 | 0 | 0 | 98 | 1 | 1 | 49.12% | 623 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
13 | Vince Dunn | 29 | D | 69 | 4 | 12 | 16 | -16 | 35 | 5 | 85 | 56 | 16 | 35 | 7.14% | 59 | 19.63 | 2 | 2 | 4 | 93 | 0 | 0 | 0 | 204 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
14 | Dante Fabbro | 57 | D | 60 | 4 | 12 | 16 | -8 | 56 | 0 | 103 | 41 | 16 | 33 | 9.76% | 47 | 15.28 | 1 | 1 | 2 | 125 | 0 | 0 | 0 | 6 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
15 | Gabriel Bourque | 0 | LW/RW | 69 | 3 | 6 | 9 | -1 | 6 | 0 | 19 | 46 | 6 | 46 | 6.52% | 1 | 7.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 28.57% | 21 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
16 | Joel Kiviranta | 0 | LW | 58 | 3 | 3 | 6 | -12 | 6 | 0 | 23 | 37 | 11 | 25 | 8.11% | 6 | 11.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.84% | 38 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
17 | Jason Demers | 55 | D | 29 | 1 | 3 | 4 | -3 | 28 | 0 | 38 | 20 | 3 | 7 | 5.00% | 30 | 13.81 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
18 | Curtis McKenzie | 11 | LW/RW | 15 | 0 | 0 | 0 | -3 | 2 | 0 | 3 | 6 | 2 | 4 | 0.00% | 1 | 7.81 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 48.09% | 131 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1130 | 134 | 241 | 375 | -100 | 448 | 50 | 1109 | 1403 | 384 | 979 | 9.55% | 486 | 15.71 | 25 | 40 | 65 | 1814 | 1 | 2 | 3 | 1416 | 20 | 4 | 46.34% | 4538 | 0 | 0 | 1 | 1 | 0.42 | 4 | 11 |
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 | Elvis Merzlikins | 67 | 27 | 33 | 7 | 0.897 | 2.92 | 3911 | 18 | 5 | 190 | 1848 | 0 | 1 | 2 | 0.684 | 19 | 67 | 0 | 11 | 1 | 2 | |
2 | Jonathan Bernier | 7 | 0 | 2 | 0 | 0.934 | 1.82 | 264 | 0 | 0 | 8 | 122 | 0 | 0 | 0 | 0.000 | 0 | 2 | 67 | 0 | 0 | 0 | |
Team Total or Average | 74 | 27 | 35 | 7 | 0.899 | 2.85 | 4176 | 18 | 5 | 198 | 1970 | 0 | 1 | 2 | 0.684 | 19 | 69 | 67 | 11 | 1 | 2 |
Projected Total Cap Hit | 62,163,332$ |
Projected Cap Space | 19,336,668$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 63,304,906$ |
Players In Salary Cap | 20 |
LTIR Players | 2 |
Canadiens Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Dubinsky | C/LW | 34 | 5,850,000$ | 5,850,000$ | UFA | ||||||
Brandon Tanev | LW/RW | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||
Brett Pesce | D | 25 | 4,025,000$ | 4,025,000$ | 4,025,000$ | 4,025,000$ | 4,025,000$ | UFA | |||
Curtis McKenzie ![]() | LW/RW | 29 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Dante Fabbro ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Elvis Merzlikins ![]() ![]() | G | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Gabriel Bourque | LW/RW | 30 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Jake Virtanen | RW | 24 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||
Jason Demers | D | 32 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Jeff Skinner | LW | 28 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA |
Jesperi Kotkaniemi ![]() | C | 20 | 925,000$ | 925,000$ | RFA | ||||||
Joel Kiviranta ![]() | LW | 24 | 700,000$ | 700,000$ | ![]() | ||||||
Jonathan Bernier | G | 32 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Martin Necas ![]() | C/RW | 21 | 894,166$ | 894,166$ | RFA | ||||||
Nate Schmidt | D | 29 | 5,950,000$ | 5,950,000$ | 5,950,000$ | 5,950,000$ | 5,950,000$ | 5,950,000$ | UFA | ||
Pierre Engvall ![]() | LW/RW | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | ||||
Riley Nash | C/LW/RW | 31 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Robert Thomas ![]() | C/LW/RW | 21 | 894,166$ | 894,166$ | RFA | ||||||
Thatcher Demko ![]() | G | 24 | 1,050,000$ | 1,050,000$ | ![]() | ||||||
Travis Hamonic | D | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
Vince Dunn | D | 23 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ![]() |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andreas Borgman ![]() | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Antoine Waked ![]() | RW | 24 | 726,667$ | 726,667$ | ![]() | ||||||
Ben Thomson ![]() | LW | 27 | 700,000$ | 700,000$ | UFA | ||||||
Brendan Perlini ![]() | LW/RW | 24 | 1,850,000$ | 1,850,000$ | ![]() | ||||||
Colton White ![]() | D | 23 | 728,333$ | 728,333$ | RFA | ||||||
Dereck Baribeau ![]() | G | 21 | 700,000$ | 700,000$ | RFA | ||||||
Dustin Tokarski ![]() | G | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Dylan Blujus ![]() | D | 26 | 700,000$ | 700,000$ | ![]() | ||||||
Erik Brannstrom ![]() | D | 21 | 894,166$ | 894,166$ | RFA | ||||||
Gustav Olofsson ![]() | D | 25 | 700,000$ | 700,000$ | ![]() | ||||||
Hayden Verbeek ![]() | C | 23 | 753,333$ | 753,333$ | RFA | ||||||
Jakub Skarek ![]() | G | 20 | 700,000$ | 700,000$ | RFA | ||||||
Jan Mysak ![]() | C/LW | 18 | 700,000$ | 700,000$ | RFA | ||||||
Jeffrey Truchon-Viel ![]() | LW | 23 | 700,000$ | 700,000$ | RFA | ||||||
Jonas Rondbjerg ![]() | RW | 21 | 806,667$ | 806,667$ | 806,667$ | RFA | |||||
Joni Tuulola ![]() | D | 24 | 767,500$ | 767,500$ | ![]() | ||||||
Kiefer Sherwood ![]() | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Libor Sulak ![]() | D | 26 | 700,000$ | 700,000$ | ![]() | ||||||
Lukas Jasek ![]() | RW | 23 | 853,333$ | 853,333$ | RFA | ||||||
Max McCormick ![]() | LW | 28 | 700,000$ | 700,000$ | UFA | ||||||
Michael Pezzetta ![]() | C/LW | 22 | 743,333$ | 743,333$ | RFA | ||||||
Mike Vecchione ![]() | C | 27 | 700,000$ | 700,000$ | UFA | ||||||
Morgan Frost ![]() | C | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Nicolas Hague ![]() | D | 21 | 822,500$ | 822,500$ | RFA | ||||||
Nikita Jevpalovs ![]() | LW | 26 | 700,000$ | 700,000$ | 700,000$ | ![]() | |||||
Noah Dobson ![]() | D | 20 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Rafael Harvey-Pinard ![]() | LW | 21 | 700,000$ | 700,000$ | RFA | ||||||
Tobias Bjornfot ![]() | D | 19 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Tobias Lindberg ![]() | LW | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() |
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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 |
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1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 0 | 4 | 0 | 45 | 16 | 15 | 14 | 0 | 53 | 20 | 18 | 42 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 43 | 27 | 49 | 14 | 26 | 13 | 50.0% | 11.1% | 88.7% | 99.8 | FUN | |
2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 3 | 2 | 2 | 0 | 76 | 17 | 29 | 30 | 0 | 103 | 26 | 46 | 74 | 12 | 2 | 16.67% | 15 | 5 | 66.67% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 67 | 46 | 76 | 22 | 35 | 17 | 38.5% | 9.2% | 87.4% | 96.6 | FUN | |
3 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 12 | -4 | 1 | 0.167 | 8 | 13 | 21 | 1 | 0 | 6 | 2 | 0 | 0 | 79 | 24 | 23 | 30 | 2 | 85 | 24 | 31 | 59 | 12 | 1 | 8.33% | 13 | 4 | 69.23% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 70 | 47 | 74 | 23 | 38 | 18 | 46.7% | 10.1% | 85.9% | 96.0 | FUN | |
4 | 5 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 16 | 20 | -4 | 6 | 0.600 | 16 | 26 | 42 | 0 | 0 | 3 | 10 | 2 | 2 | 137 | 34 | 58 | 42 | 9 | 170 | 45 | 46 | 102 | 15 | 1 | 6.67% | 19 | 5 | 73.68% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 124 | 87 | 120 | 37 | 67 | 33 | 50.0% | 11.7% | 88.2% | 99.9 | FUN | |
5 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 13 | -3 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 3 | 4 | 2 | 1 | 87 | 32 | 24 | 28 | 3 | 123 | 22 | 21 | 72 | 14 | 4 | 28.57% | 6 | 1 | 83.33% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 66 | 45 | 77 | 22 | 38 | 18 | 33.3% | 11.5% | 89.4% | 100.9 | FUN | |
6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 6 | 1.000 | 8 | 15 | 23 | 0 | 1 | 3 | 2 | 3 | 0 | 85 | 25 | 35 | 25 | 0 | 70 | 24 | 28 | 65 | 13 | 2 | 15.38% | 14 | 2 | 85.71% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 72 | 49 | 70 | 21 | 37 | 19 | 85.7% | 9.4% | 95.7% | 105.1 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 19 | 3 | 8 | 8 | 0 | 34 | 4 | 12 | 15 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 20 | 13 | 27 | 7 | 11 | 5 | 40.0% | 10.5% | 88.2% | 98.8 | FUN | |
8 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 0.667 | 6 | 11 | 17 | 0 | 1 | 4 | 1 | 1 | 0 | 101 | 32 | 40 | 29 | 0 | 67 | 16 | 20 | 72 | 11 | 1 | 9.09% | 10 | 1 | 90.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 74 | 52 | 69 | 22 | 36 | 18 | 71.4% | 5.9% | 95.5% | 101.5 | DULL | |
9 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 6 | 13 | -7 | 3 | 0.375 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 90 | 39 | 23 | 26 | 2 | 113 | 25 | 33 | 75 | 23 | 2 | 8.70% | 14 | 3 | 78.57% | 1 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 94 | 65 | 100 | 31 | 49 | 23 | 28.6% | 6.7% | 88.5% | 95.2 | Unlucky | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 4 | 2 | 1 | 0 | 41 | 11 | 12 | 18 | 0 | 48 | 17 | 16 | 48 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 50 | 35 | 45 | 14 | 24 | 13 | 66.7% | 17.1% | 89.6% | 106.7 | FUN | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 6 | 2 | 1.000 | 6 | 11 | 17 | 0 | 1 | 2 | 2 | 2 | 0 | 41 | 18 | 10 | 13 | 0 | 18 | 3 | 6 | 20 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 25 | 16 | 20 | 7 | 13 | 7 | 100.0% | 14.6% | 100.0% | 114.6 | LUCKY | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 16 | 2 | 6 | 8 | 0 | 18 | 6 | 6 | 19 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 20 | 12 | 26 | 8 | 13 | 6 | 50.0% | 12.5% | 94.4% | 106.9 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 27 | 6 | 10 | 11 | 0 | 30 | 6 | 2 | 24 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 23 | 17 | 24 | 6 | 11 | 5 | 42.9% | 11.1% | 83.3% | 94.4 | FUN | |
14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 0 | 1 | 21 | 9 | 8 | 3 | 1 | 38 | 4 | 8 | 21 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 24 | 17 | 24 | 7 | 11 | 5 | 66.7% | 9.5% | 97.4% | 106.9 | LUCKY | |
15 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 1 | 3 | 4 | 0 | 88 | 29 | 31 | 28 | 0 | 89 | 22 | 45 | 63 | 11 | 1 | 9.09% | 8 | 1 | 87.50% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 72 | 51 | 72 | 20 | 35 | 17 | 43.8% | 9.1% | 88.8% | 97.9 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 20 | 5 | 7 | 8 | 0 | 23 | 7 | 19 | 19 | 3 | 1 | 33.33% | 7 | 2 | 71.43% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 21 | 14 | 26 | 8 | 12 | 5 | nan% | 5.0% | 91.3% | 96.3 | DULL | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 31 | 8 | 7 | 16 | 0 | 29 | 6 | 8 | 19 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 25 | 18 | 22 | 6 | 11 | 5 | 50.0% | 6.5% | 89.7% | 96.1 | Unlucky | |
18 | 5 | 0 | 2 | 0 | 1 | 0 | 1 | 1 | 11 | 12 | -1 | 5 | 0.500 | 11 | 19 | 30 | 0 | 0 | 6 | 2 | 1 | 5 | 124 | 42 | 37 | 38 | 18 | 149 | 46 | 35 | 85 | 14 | 2 | 14.29% | 14 | 0 | 100.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 122 | 86 | 122 | 35 | 65 | 32 | 42.9% | 8.9% | 91.9% | 100.8 | Unlucky | |
19 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.250 | 10 | 19 | 29 | 0 | 0 | 4 | 4 | 2 | 0 | 98 | 34 | 40 | 24 | 0 | 101 | 31 | 30 | 85 | 17 | 3 | 17.65% | 15 | 3 | 80.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 94 | 65 | 96 | 28 | 48 | 24 | 43.8% | 10.2% | 88.1% | 98.3 | FUN | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 4 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 23 | 13 | 10 | 17 | 6 | 1 | 16.67% | 4 | 2 | 50.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 21 | 14 | 24 | 7 | 13 | 6 | 50.0% | 14.3% | 78.3% | 92.5 | FUN | |
21 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 4 | 0.500 | 8 | 16 | 24 | 1 | 0 | 4 | 2 | 2 | 0 | 103 | 35 | 43 | 25 | 0 | 118 | 32 | 24 | 98 | 12 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 95 | 66 | 93 | 28 | 51 | 24 | 50.0% | 7.8% | 92.4% | 100.1 | DULL | |
22 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.250 | 8 | 13 | 21 | 0 | 0 | 4 | 1 | 3 | 0 | 89 | 37 | 28 | 24 | 0 | 106 | 34 | 36 | 77 | 17 | 1 | 5.88% | 12 | 1 | 91.67% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 97 | 69 | 93 | 28 | 48 | 24 | 41.2% | 9.0% | 89.6% | 98.6 | FUN | |
23 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 10 | -3 | 3 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 76 | 23 | 31 | 19 | 6 | 85 | 23 | 20 | 62 | 12 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 69 | 48 | 76 | 24 | 38 | 18 | 46.7% | 9.2% | 88.2% | 97.4 | FUN | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 8 | 5 | 15 | 0 | 19 | 10 | 4 | 15 | 4 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 29 | 22 | 18 | 6 | 12 | 7 | 0.0% | 0.0% | 84.2% | 84.2 | Unlucky | |
25 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 21 | 6 | 8 | 7 | 0 | 28 | 8 | 8 | 20 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 24 | 17 | 23 | 7 | 11 | 5 | 33.3% | 9.5% | 82.1% | 91.7 | FUN | |
26 | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 9 | 16 | -7 | 5 | 0.500 | 9 | 13 | 22 | 0 | 1 | 3 | 3 | 3 | 0 | 128 | 47 | 48 | 33 | 0 | 149 | 45 | 53 | 132 | 20 | 2 | 10.00% | 21 | 4 | 80.95% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 120 | 81 | 118 | 37 | 63 | 31 | 36.8% | 7.0% | 89.3% | 96.3 | Unlucky | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 11 | 2 | 10 | 0 | 24 | 10 | 6 | 18 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 23 | 15 | 22 | 7 | 13 | 6 | 0.0% | 4.3% | 91.7% | 96.0 | DULL | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 20 | 4 | 5 | 11 | 0 | 32 | 6 | 6 | 26 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 24 | 17 | 24 | 7 | 11 | 5 | 20.0% | 5.0% | 87.5% | 92.5 | Unlucky | |
29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 3 | 0 | 1 | 0 | 24 | 13 | 5 | 6 | 0 | 27 | 6 | 13 | 23 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 25 | 18 | 21 | 7 | 12 | 6 | 100.0% | 16.7% | 100.0% | 116.7 | LUCKY | |
_Vs Division | 30 | 8 | 14 | 0 | 1 | 3 | 2 | 2 | 68 | 92 | -24 | 27 | 0.450 | 68 | 119 | 187 | 1 | 1 | 24 | 26 | 15 | 7 | 768 | 260 | 280 | 216 | 29 | 889 | 246 | 266 | 640 | 112 | 11 | 9.82% | 101 | 17 | 83.17% | 1 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 725 | 504 | 725 | 220 | 381 | 189 | 43.2% | 8.9% | 89.7% | 98.5 | Unlucky | |
_Vs Conference | 52 | 17 | 25 | 0 | 2 | 4 | 2 | 2 | 123 | 154 | -31 | 48 | 0.462 | 123 | 218 | 341 | 2 | 3 | 51 | 40 | 28 | 8 | 1349 | 449 | 473 | 410 | 34 | 1515 | 419 | 470 | 1125 | 204 | 24 | 11.76% | 182 | 34 | 81.32% | 1 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 1248 | 866 | 1255 | 383 | 653 | 325 | 45.2% | 9.1% | 89.8% | 99.0 | FUN | |
_Since Last GM Reset | 69 | 22 | 35 | 0 | 3 | 4 | 2 | 3 | 164 | 203 | -39 | 61 | 0.442 | 164 | 292 | 456 | 2 | 5 | 67 | 53 | 39 | 9 | 1766 | 583 | 606 | 556 | 41 | 1972 | 541 | 610 | 1467 | 262 | 29 | 11.07% | 242 | 47 | 80.58% | 1 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 1648 | 1143 | 1667 | 510 | 866 | 429 | 46.4% | 9.3% | 89.7% | 99.0 | FUN | |
Total | 69 | 22 | 35 | 0 | 3 | 4 | 2 | 3 | 164 | 203 | -39 | 61 | 0.442 | 164 | 292 | 456 | 2 | 5 | 67 | 53 | 39 | 9 | 1766 | 583 | 606 | 556 | 41 | 1972 | 541 | 610 | 1467 | 262 | 29 | 11.07% | 242 | 47 | 80.58% | 1 | 1102 | 2217 | 49.71% | 1092 | 2349 | 46.49% | 467 | 1025 | 45.56% | 1648 | 1143 | 1667 | 510 | 866 | 429 | 46.4% | 9.3% | 89.7% | 99.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2217 |
Neutral Zone Start | 1025 |
Defensive Zone Start | 2349 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2661 |
Faceoffs Lost | 2930 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.4 | 9.57 |
2nd Period | 17.2 | 20.31 |
3rd Period | 25.3 | 30.68 |
Overtime | 25.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 132 |
---|---|
PP Goal | 29 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 10 | 17 |
Lost | 20 | 15 |
Overtime Lost | 5 | 2 |
PP Attempt | 262 |
---|---|
PP Goal | 29 |
PK Attempt | 242 |
PK Goal Against | 47 |
Home | |
---|---|
Shots For | 25.6 |
Shots Against | 28.6 |
Goals For | 2.4 |
Goals Against | 2.9 |
Hits | 21.3 |
Shots Blocked | 7.8 |
Pim | 8.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-10-02 | @ | Canadiens4,Sabres1 | RECAP | |||||||||||
2020-10-05 | @ | Panthers4,Canadiens2 | RECAP | |||||||||||
2020-10-07 | @ | Flames2,Canadiens4 | RECAP | |||||||||||
2020-10-08 | @ | Canadiens0,Red Wings5 | RECAP | |||||||||||
2020-10-11 | @ | Lightning3,Canadiens1 | RECAP | |||||||||||
2020-10-13 | @ | Canadiens2,Blue Jackets1 | RECAP | |||||||||||
2020-10-15 | @ | Sabres4,Canadiens3 | RECAP | |||||||||||
2020-10-17 | @ | Canadiens2,Panthers1 | RECAP | |||||||||||
2020-10-18 | @ | Canadiens4,Senators3 (SO) | RECAP | |||||||||||
2020-10-20 | @ | Predators1,Canadiens2 (OT) | RECAP | |||||||||||
2020-10-23 | @ | Maple Leafs2,Canadiens1 (OT) | RECAP | |||||||||||
2020-10-25 | @ | Canadiens0,Maple Leafs6 | RECAP | |||||||||||
2020-10-27 | @ | Canadiens3,Hurricanes1 | RECAP | |||||||||||
2020-10-28 | @ | Maple Leafs3,Canadiens4 | RECAP | |||||||||||
2020-10-30 | @ | Canadiens1,Senators5 | RECAP | |||||||||||
2020-11-01 | @ | Bruins3,Canadiens2 | RECAP | |||||||||||
2020-11-04 | @ | Devils5,Canadiens3 | RECAP | |||||||||||
2020-11-06 | @ | Canadiens1,Maple Leafs0 | RECAP | |||||||||||
2020-11-08 | @ | Maple Leafs5,Canadiens3 | RECAP | |||||||||||
2020-11-13 | @ | Canadiens2,Islanders7 | RECAP | |||||||||||
2020-11-15 | @ | Stars5,Canadiens2 | RECAP | |||||||||||
2020-11-17 | @ | Wild0,Canadiens6 | RECAP | |||||||||||
2020-11-19 | @ | Canadiens3,Kings5 | RECAP | |||||||||||
2020-11-21 | @ | Canadiens4,Islanders3 | RECAP | |||||||||||
2020-11-23 | @ | Golden Knights0,Canadiens4 | RECAP | |||||||||||
2020-11-25 | @ | Canadiens4,Senators3 | RECAP | |||||||||||
2020-11-26 | @ | Blue Jackets3,Canadiens1 | RECAP | |||||||||||
2020-11-30 | @ | Hurricanes0,Canadiens2 | RECAP | |||||||||||
2020-12-02 | @ | Canadiens1,Jets4 | RECAP | |||||||||||
2020-12-04 | @ | Capitals2,Canadiens3 | RECAP | |||||||||||
2020-12-06 | @ | Canadiens4,Jets3 | RECAP | |||||||||||
2020-12-09 | @ | Canadiens4,Capitals3 | RECAP | |||||||||||
2020-12-10 | @ | Islanders3,Canadiens4 (OT) | RECAP | |||||||||||
2020-12-13 | @ | Flyers5,Canadiens2 | RECAP | |||||||||||
2020-12-15 | @ | Canadiens4,Blackhawks5 | RECAP | |||||||||||
2020-12-17 | @ | Canadiens2,Avalanche4 | RECAP | |||||||||||
2020-12-18 | @ | Flames4,Canadiens1 | RECAP | |||||||||||
2020-12-21 | @ | Jets3,Canadiens2 (SO) | RECAP | |||||||||||
2020-12-23 | @ | Canadiens2,Bruins1 (SO) | RECAP | |||||||||||
2020-12-25 | @ | Canadiens3,Red Wings1 | RECAP | |||||||||||
2020-12-27 | @ | Sabres4,Canadiens2 | RECAP | |||||||||||
2020-12-29 | @ | Canadiens1,Red Wings2 (OT) | RECAP | |||||||||||
2020-12-30 | @ | Sabres3,Canadiens1 | RECAP | |||||||||||
2021-01-02 | @ | Rangers2,Canadiens0 | RECAP | |||||||||||
2021-01-03 | @ | Canadiens3,Hurricanes2 | RECAP | |||||||||||
2021-01-05 | @ | Canadiens2,Canucks1 | RECAP | |||||||||||
2021-01-07 | @ | Sharks4,Canadiens1 | RECAP | |||||||||||
2021-01-11 | @ | Oilers2,Canadiens1 | RECAP | |||||||||||
2021-01-13 | @ | Canadiens2,Bruins1 (OT) | RECAP | |||||||||||
2021-01-15 | @ | Bruins3,Canadiens2 (SO) | RECAP | |||||||||||
2021-01-18 | @ | Canadiens0,Ducks3 | RECAP | |||||||||||
2021-01-20 | @ | Lightning5,Canadiens3 | RECAP | |||||||||||
2021-01-22 | @ | Canadiens2,Rangers0 | RECAP | |||||||||||
2021-01-24 | @ | Lightning2,Canadiens4 | RECAP | |||||||||||
2021-01-26 | @ | Canadiens3,Blue Jackets4 | RECAP | |||||||||||
2021-01-28 | @ | Senators3,Canadiens2 (SO) | RECAP | |||||||||||
2021-01-30 | @ | Canadiens4,Flyers5 | RECAP | |||||||||||
2021-02-01 | @ | Bruins4,Canadiens3 | RECAP | |||||||||||
2021-02-03 | @ | Canadiens2,Coyotes3 | RECAP | |||||||||||
2021-02-05 | @ | Panthers3,Canadiens2 | RECAP | |||||||||||
2021-02-07 | @ | Canadiens4,Rangers1 | RECAP | |||||||||||
2021-02-10 | @ | Canadiens2,Devils3 (OT) | RECAP | |||||||||||
2021-02-11 | @ | Red Wings5,Canadiens2 | RECAP | |||||||||||
2021-02-14 | @ | Canadiens2,Blue Jackets3 | RECAP | |||||||||||
2021-02-16 | @ | Panthers1,Canadiens2 | RECAP | |||||||||||
2021-02-19 | @ | Senators6,Canadiens5 (OT) | RECAP | |||||||||||
2021-02-20 | @ | Canadiens3,Devils4 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2021-02-23 | @ | Penguins2,Canadiens1 | RECAP | |||||||||||
2021-02-24 | @ | Canadiens1,Flyers3 | RECAP | |||||||||||
2021-02-28 | @ | |||||||||||||
2021-03-01 | @ | |||||||||||||
2021-03-04 | @ | |||||||||||||
2021-03-05 | @ | |||||||||||||
2021-03-08 | @ | |||||||||||||
2021-03-09 | @ | |||||||||||||
2021-03-12 | @ | |||||||||||||
2021-03-15 | @ | |||||||||||||
2021-03-18 | @ | |||||||||||||
2021-03-19 | @ | |||||||||||||
2021-03-21 | @ | |||||||||||||
2021-03-24 | @ | |||||||||||||
2021-03-26 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
62,163,332$ | 0$ | 62,163,332$ | 19,336,668$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Bell Centre | |
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 | 195065 | 162547 | 64467 | 131433 | 32465 |
Attendance PCT | 92.89% | 92.88% | 92.10% | 93.88% | 92.76% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
6 | 16742 - 93.01% | 1,474,803$ | 51,618,112$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
62,163,332$ | 62,163,332$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
64,987,893$ | 62,163,332$ | 63,304,906$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
8,848,819$ | 29 | 352,868$ | 10,233,172$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
10,644,418$ | 62,163,332$ | 34,535,868$ | 32,740,269$ |
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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 |
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 |
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3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Albert Lyckasen | |||||
Alexander Khovanov | 8.0 - 7.5 | ||||
Arturs Silovs | 2019 | 173 | 6.0 - 5.0 | ||
Blake McLaughlin | 6.0 - 7.0 | ||||
Elliot Desnoyers | |||||
Jake McBain | |||||
Joel Teasdale | 7.0 - 7.0 | ||||
Joni Ikonen | 2017 | 58 | 7.0 - 7.0 | ||
Jordan Spence | 2019 | 61 | |||
Josh Nodler | 2019 | 161 | |||
Keean Washkurak | 2019 | 164 | 6.5 - 5.0 | ||
Luke Toporowski | 2019 | 206 | |||
Marcel Barinka | 2019 | 204 | 6.0 - 7.0 | ||
Matvei Guskov | 2019 | 130 | 5.0 - 4.0 | ||
Nikita Popugayev | 6.5 - 5.8 | ||||
Olivier Galipeau | |||||
Roby Jarventie | 2020 | 51 | |||
Samuel Knazko | 2020 | 114 | |||
Scott Walford | |||||
Yegor Afanasyev | 2019 | 37 | 6.5 - 7.5 | ||
Zachary Bouthillier |
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