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Full Scoreboard »» |
Montreal Canadiens 16-10-4, 36pts · 4th in Eastern Conference |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 89 | 43 | 79 | 72 | 89 | 83 | 77 | 71 | 53 | 70 | 74 | 82 | 72 | 73 | 69 | 70 | 75 | 0 | 27 | 3,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 83 | 49 | 68 | 71 | 89 | 85 | 90 | 74 | 82 | 77 | 68 | 66 | 73 | 95 | 95 | 42 | 76 | 0 | 35 | 6,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 84 | 44 | 72 | 83 | 81 | 86 | 88 | 82 | 80 | 85 | 81 | 75 | 82 | 73 | 70 | 71 | 76 | 0 | 27 | 5,250,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 39 | 89 | 65 | 72 | 73 | 88 | 63 | 76 | 62 | 60 | 85 | 58 | 79 | 71 | 47 | 76 | 0 | 31 | 600,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 53 | 39 | 86 | 72 | 74 | 77 | 85 | 71 | 73 | 79 | 65 | 59 | 72 | 61 | 64 | 82 | 76 | 0 | 21 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 79 | 40 | 82 | 77 | 73 | 83 | 88 | 76 | 69 | 74 | 80 | 65 | 81 | 84 | 78 | 43 | 76 | 0 | 34 | 5,750,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 38 | 81 | 69 | 72 | 76 | 73 | 68 | 56 | 63 | 67 | 59 | 70 | 61 | 63 | 88 | 71 | 0 | 21 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 48 | 61 | 66 | 84 | 75 | 76 | 68 | 53 | 72 | 60 | 59 | 68 | 95 | 88 | 41 | 65 | 0 | 35 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 54 | 39 | 85 | 79 | 71 | 85 | 82 | 78 | 59 | 87 | 71 | 84 | 79 | 71 | 73 | 78 | 76 | 0 | 26 | 5,400,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 92 | 41 | 72 | 64 | 78 | 73 | 80 | 63 | 78 | 65 | 62 | 83 | 61 | 73 | 67 | 52 | 73 | 0 | 27 | 1,650,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 81 | 40 | 81 | 64 | 74 | 76 | 88 | 63 | 78 | 65 | 56 | 85 | 63 | 77 | 67 | 38 | 69 | 0 | 30 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 55 | 38 | 85 | 88 | 66 | 87 | 88 | 90 | 51 | 93 | 85 | 57 | 84 | 77 | 85 | 36 | 76 | 0 | 29 | 11,500,000$/6yrs | |||
![]() | 0 | C | 100.00 | 59 | 41 | 78 | 86 | 81 | 88 | 87 | 85 | 83 | 86 | 88 | 64 | 87 | 67 | 86 | 88 | 76 | 0 | 24 | 10,000,000$/6yrs | |||
![]() | 0 | D | 100.00 | 64 | 52 | 83 | 66 | 81 | 85 | 87 | 64 | 30 | 63 | 55 | 59 | 48 | 61 | 63 | 86 | 69 | 0 | 21 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 46 | 79 | 65 | 86 | 77 | 73 | 58 | 30 | 65 | 55 | 74 | 48 | 79 | 71 | 68 | 61 | 0 | 31 | 750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 92 | 43 | 76 | 61 | 89 | 86 | 90 | 59 | 30 | 67 | 55 | 90 | 48 | 77 | 69 | 54 | 76 | 0 | 30 | 2,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 40 | 83 | 69 | 74 | 86 | 75 | 67 | 30 | 78 | 68 | 84 | 57 | 65 | 64 | 52 | 74 | 0 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 54 | 44 | 83 | 77 | 79 | 89 | 90 | 76 | 30 | 82 | 75 | 66 | 61 | 69 | 73 | 77 | 76 | 0 | 25 | 5,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 91 | 48 | 65 | 64 | 99 | 83 | 85 | 63 | 30 | 70 | 61 | 77 | 52 | 69 | 70 | 81 | 75 | 0 | 25 | 3,800,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 77 | 41 | 85 | 63 | 78 | 71 | 76 | 62 | 75 | 59 | 61 | 64 | 58 | 82 | 74 | 49 | 53 | 0 | 34 | 750,000$/1yrs | |||
![]() | 0 | D | 79.14 | 85 | 41 | 77 | 76 | 80 | 89 | 85 | 74 | 30 | 77 | 71 | 76 | 58 | 77 | 85 | 71 | 69 | 0 | 29 | 8,250,000$/7yrs | |||
TEAM AVERAGE | 99.00 | 74 | 43 | 79 | 71 | 80 | 82 | 83 | 70 | 56 | 73 | 68 | 72 | 66 | 75 | 74 | 63 | 72 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 91 | 95 | 93 | 87 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 82 | 87 | 52 | 75 | 0 | 33 | 10,500,000$/6yrs |
![]() | 0 | 100.00 | 79 | 82 | 80 | 74 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 90 | 94 | 46 | 76 | 0 | 40 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 85 | 89 | 87 | 81 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 86 | 91 | 49 | 76 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Bowness | 82 | 93 | 78 | 83 | 98 | 91 | 45 | CAN | 65 | 4 | 4,000,000$ |
General Manager | Simon Goulet |
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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 | J.T. Miller | 0 | C/LW | 30 | 10 | 17 | 27 | 6 | 10 | 0 | 80 | 123 | 38 | 68 | 8.13% | 9 | 18.60 | 1 | 3 | 4 | 39 | 0 | 0 | 0 | 7 | 2 | 0 | 62.12% | 66 | 35 | 10 | 0 | 0 | 0.97 | 1 | 1 | ||
2 | Artemi Panarin | 0 | LW | 30 | 12 | 13 | 25 | -7 | 4 | 0 | 30 | 125 | 29 | 69 | 9.60% | 8 | 18.67 | 2 | 5 | 7 | 39 | 0 | 0 | 0 | 0 | 1 | 0 | 45.45% | 33 | 47 | 9 | 0 | 0 | 0.89 | 0 | 4 | ||
3 | Jack Eichel | 0 | C | 30 | 13 | 11 | 24 | 3 | 6 | 0 | 37 | 99 | 38 | 75 | 13.13% | 7 | 18.46 | 3 | 3 | 6 | 39 | 0 | 0 | 0 | 0 | 3 | 0 | 55.48% | 694 | 29 | 7 | 0 | 0 | 0.87 | 0 | 4 | ||
4 | Ryan Getzlaf | 0 | C | 30 | 5 | 13 | 18 | -4 | 10 | 0 | 69 | 49 | 13 | 28 | 10.20% | 11 | 18.00 | 0 | 5 | 5 | 32 | 0 | 0 | 0 | 11 | 1 | 0 | 59.84% | 503 | 6 | 12 | 0 | 0 | 0.67 | 0 | 0 | ||
5 | Teuvo Teravainen | 0 | LW/RW | 30 | 11 | 7 | 18 | -2 | 8 | 0 | 45 | 86 | 25 | 51 | 12.79% | 14 | 19.65 | 2 | 0 | 2 | 32 | 1 | 0 | 1 | 50 | 2 | 0 | 40.48% | 42 | 13 | 15 | 0 | 0 | 0.61 | 1 | 4 | ||
6 | T.J. Oshie | 0 | RW | 30 | 7 | 8 | 15 | 0 | 4 | 0 | 64 | 64 | 20 | 40 | 10.94% | 12 | 17.66 | 1 | 2 | 3 | 32 | 0 | 0 | 0 | 0 | 3 | 0 | 64.86% | 37 | 20 | 8 | 0 | 0 | 0.57 | 0 | 1 | ||
7 | Oliver Ekman-Larsson | 0 | D | 26 | 1 | 11 | 12 | 3 | 6 | 0 | 61 | 40 | 7 | 17 | 2.50% | 38 | 24.33 | 1 | 1 | 2 | 22 | 0 | 0 | 0 | 49 | 1 | 0 | 0.00% | 0 | 12 | 33 | 0 | 0 | 0.38 | 0 | 0 | ||
8 | Brayden McNabb | 0 | D | 30 | 0 | 12 | 12 | 0 | 12 | 0 | 82 | 27 | 17 | 15 | 0.00% | 54 | 24.11 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 59 | 0 | 0 | 0.00% | 0 | 4 | 24 | 0 | 0 | 0.33 | 0 | 0 | ||
9 | Shea Theodore | 0 | D | 30 | 1 | 11 | 12 | 2 | 17 | 5 | 14 | 48 | 25 | 19 | 2.08% | 31 | 21.13 | 0 | 1 | 1 | 44 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 20 | 28 | 0 | 0 | 0.38 | 0 | 0 | ||
10 | Robert Thomas | 0 | C/RW | 30 | 8 | 3 | 11 | 5 | 2 | 0 | 16 | 57 | 18 | 24 | 14.04% | 5 | 12.81 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 1 | 1 | 46.74% | 184 | 10 | 7 | 0 | 0 | 0.57 | 0 | 1 | ||
11 | John Marino | 0 | D | 30 | 1 | 9 | 10 | -3 | 10 | 0 | 50 | 27 | 16 | 9 | 3.70% | 33 | 21.93 | 1 | 0 | 1 | 43 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 9 | 26 | 0 | 0 | 0.30 | 0 | 0 | ||
12 | Joel Armia | 0 | RW | 28 | 1 | 7 | 8 | -1 | 4 | 0 | 50 | 63 | 25 | 32 | 1.59% | 16 | 13.52 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 29 | 0 | 0 | 40.00% | 15 | 13 | 5 | 0 | 0 | 0.42 | 0 | 1 | ||
13 | Colton Sceviour | 0 | C/LW/RW | 30 | 6 | 2 | 8 | 2 | 0 | 0 | 43 | 44 | 15 | 30 | 13.64% | 17 | 12.62 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 55 | 1 | 0 | 51.76% | 85 | 2 | 14 | 0 | 0 | 0.42 | 0 | 0 | ||
14 | Filip Zadina | 0 | LW/RW | 25 | 4 | 2 | 6 | 8 | 6 | 0 | 17 | 29 | 7 | 23 | 13.79% | 7 | 10.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 8 | 2 | 0 | 0 | 0.46 | 0 | 0 | ||
15 | Nikita Zadorov | 0 | D | 30 | 0 | 5 | 5 | 9 | 14 | 0 | 51 | 18 | 8 | 12 | 0.00% | 38 | 16.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 7 | 20 | 0 | 0 | 0.21 | 0 | 0 | ||
16 | Corey Perry | 0 | RW | 19 | 3 | 1 | 4 | 2 | 4 | 0 | 11 | 19 | 5 | 9 | 15.79% | 4 | 8.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 4 | 3 | 0 | 0 | 0.50 | 0 | 0 | ||
17 | Ryan Carpenter | 0 | C/RW | 28 | 0 | 3 | 3 | 0 | 15 | 5 | 22 | 18 | 6 | 12 | 0.00% | 5 | 9.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 58.49% | 53 | 1 | 6 | 0 | 0 | 0.22 | 0 | 0 | ||
18 | Evan Bouchard | 0 | D | 23 | 0 | 2 | 2 | 3 | 2 | 0 | 12 | 5 | 3 | 3 | 0.00% | 18 | 14.26 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.12 | 0 | 0 | ||
19 | Luke Schenn | 0 | D | 11 | 0 | 2 | 2 | -1 | 6 | 0 | 6 | 9 | 4 | 5 | 0.00% | 8 | 13.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.28 | 0 | 0 | ||
20 | Cedric Paquette | 0 | C/RW | 25 | 1 | 1 | 2 | 1 | 12 | 0 | 32 | 26 | 13 | 24 | 3.85% | 10 | 9.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 50.88% | 114 | 5 | 4 | 0 | 0 | 0.16 | 0 | 0 | ||
Team Total or Average | 545 | 84 | 140 | 224 | 26 | 152 | 10 | 792 | 976 | 332 | 565 | 8.61% | 345 | 16.54 | 11 | 20 | 31 | 360 | 1 | 1 | 2 | 449 | 15 | 1 | 55.09% | 1837 | 246 | 239 | 0 | 0 | 0.50 | 2 | 16 |
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 | Carey Price | 28 | 15 | 9 | 4 | 0.922 | 2.51 | 1698 | 0 | 1 | 71 | 907 | 401 | 1 | 1 | 0.714 | 14 | 28 | 2 | 4 | 4 | 3 | |
2 | Ryan Miller | 2 | 1 | 1 | 0 | 0.879 | 3.50 | 120 | 0 | 0 | 7 | 58 | 20 | 0 | 0 | 0.000 | 0 | 2 | 28 | 0 | 0 | 0 | |
Team Total or Average | 30 | 16 | 10 | 4 | 0.919 | 2.57 | 1818 | 0 | 1 | 78 | 965 | 421 | 1 | 1 | 0.714 | 14 | 30 | 30 | 4 | 4 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 0 | 1 | 67 | 21 | 34 | 11 | 1 | 67 | 28 | 8 | 46 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 46 | 29 | 42 | 15 | 32 | 16 | 38.5% | 7.5% | 86.6% | 94.0 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 35 | 7 | 11 | 17 | 0 | 43 | 16 | 6 | 29 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 19 | 11 | 24 | 8 | 15 | 7 | 60.0% | 8.6% | 95.3% | 103.9 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 24 | 9 | 12 | 3 | 0 | 34 | 8 | 8 | 29 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 20 | 12 | 21 | 9 | 17 | 8 | 40.0% | 8.3% | 88.2% | 96.6 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 1 | 0 | 1 | 0 | 41 | 18 | 19 | 4 | 0 | 25 | 11 | 4 | 34 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 26 | 16 | 17 | 8 | 16 | 8 | nan% | 4.9% | 100.0% | 104.9 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 31 | 14 | 10 | 7 | 0 | 24 | 6 | 2 | 15 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 22 | 13 | 19 | 8 | 17 | 9 | 66.7% | 6.5% | 95.8% | 102.3 | DULL | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 8 | 8 | 17 | 0 | 29 | 7 | 0 | 31 | 5 | 1 | 20.00% | 0 | 0 | 0.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 24 | 14 | 18 | 7 | 16 | 9 | 25.0% | 6.1% | 89.7% | 95.7 | Unlucky | |
7 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 9 | 11 | -2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 3 | 3 | 3 | 1 | 75 | 15 | 24 | 33 | 8 | 64 | 18 | 12 | 66 | 7 | 2 | 28.57% | 6 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 50 | 30 | 41 | 17 | 34 | 17 | 38.9% | 12.0% | 82.8% | 94.8 | FUN | |
8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 0 | 1 | 33 | 8 | 14 | 10 | 1 | 27 | 14 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 22 | 14 | 21 | 7 | 16 | 8 | 60.0% | 9.1% | 92.6% | 101.7 | LUCKY | |
9 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 0 | 4 | 2 | 1 | 63 | 19 | 27 | 16 | 4 | 65 | 26 | 6 | 55 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 49 | 31 | 40 | 16 | 35 | 17 | 55.6% | 11.1% | 93.8% | 105.0 | LUCKY | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 38 | 12 | 14 | 12 | 0 | 29 | 13 | 4 | 21 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 25 | 16 | 17 | 7 | 16 | 8 | 20.0% | 2.6% | 82.8% | 85.4 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 1 | 0 | 37 | 8 | 18 | 11 | 0 | 22 | 9 | 4 | 24 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 24 | 15 | 18 | 8 | 16 | 9 | 80.0% | 10.8% | 90.9% | 101.7 | FUN | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 15 | 25 | 0 | 0 | 6 | 4 | 0 | 0 | 52 | 21 | 20 | 11 | 0 | 65 | 21 | 17 | 45 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 38 | 23 | 45 | 18 | 35 | 16 | 71.4% | 19.2% | 93.8% | 113.1 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 28 | 8 | 10 | 10 | 0 | 47 | 15 | 10 | 24 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 18 | 11 | 25 | 9 | 15 | 6 | 50.0% | 14.3% | 89.4% | 103.6 | FUN | |
14 | 5 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 11 | 12 | -1 | 5 | 0.500 | 11 | 17 | 28 | 0 | 0 | 3 | 4 | 4 | 0 | 156 | 55 | 64 | 36 | 4 | 144 | 63 | 16 | 129 | 8 | 2 | 25.00% | 9 | 1 | 88.89% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 109 | 66 | 110 | 44 | 85 | 42 | 45.0% | 7.1% | 91.7% | 98.7 | DULL | |
15 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 6 | 3 | 5 | 0.833 | 9 | 15 | 24 | 0 | 0 | 1 | 2 | 6 | 0 | 97 | 29 | 30 | 38 | 3 | 105 | 30 | 18 | 77 | 4 | 1 | 25.00% | 9 | 4 | 55.56% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 70 | 44 | 62 | 25 | 52 | 26 | 80.0% | 9.3% | 94.3% | 103.6 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 7 | 9 | 14 | 0 | 31 | 11 | 6 | 33 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 21 | 12 | 22 | 8 | 16 | 7 | 50.0% | 3.3% | 93.5% | 96.9 | DULL | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 30 | 10 | 9 | 11 | 0 | 35 | 9 | 2 | 29 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 21 | 14 | 22 | 8 | 15 | 7 | 66.7% | 6.7% | 97.1% | 103.8 | DULL | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 7 | 18 | 11 | 0 | 29 | 10 | 4 | 15 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 21 | 14 | 22 | 8 | 15 | 7 | 33.3% | 5.6% | 89.7% | 95.2 | Unlucky | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 1 | 0 | 2 | 3 | 1 | 0 | 63 | 24 | 24 | 15 | 0 | 81 | 27 | 25 | 56 | 0 | 0 | 0.00% | 6 | 1 | 83.33% | 1 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 44 | 28 | 43 | 16 | 32 | 15 | 54.5% | 9.5% | 92.6% | 102.1 | LUCKY | |
_Vs Division | 14 | 6 | 5 | 0 | 1 | 0 | 1 | 1 | 39 | 37 | 2 | 17 | 0.607 | 39 | 61 | 100 | 0 | 0 | 12 | 17 | 8 | 2 | 428 | 142 | 184 | 99 | 9 | 439 | 165 | 61 | 348 | 17 | 5 | 29.41% | 29 | 4 | 86.21% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 308 | 190 | 305 | 121 | 237 | 116 | 50.7% | 9.1% | 91.6% | 100.7 | LUCKY | |
_Vs Conference | 19 | 7 | 8 | 0 | 2 | 0 | 1 | 1 | 48 | 50 | -2 | 21 | 0.553 | 48 | 77 | 125 | 0 | 0 | 16 | 20 | 9 | 3 | 593 | 191 | 239 | 159 | 10 | 579 | 216 | 73 | 471 | 28 | 6 | 21.43% | 35 | 6 | 82.86% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 424 | 262 | 406 | 162 | 320 | 160 | 48.8% | 8.1% | 91.4% | 99.5 | DULL | |
_Since Last GM Reset | 30 | 13 | 10 | 0 | 2 | 1 | 1 | 3 | 85 | 82 | 3 | 36 | 0.600 | 85 | 140 | 225 | 1 | 1 | 25 | 34 | 23 | 4 | 969 | 300 | 375 | 287 | 21 | 966 | 342 | 152 | 781 | 46 | 11 | 23.91% | 68 | 13 | 80.88% | 1 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 679 | 419 | 638 | 257 | 504 | 252 | 51.7% | 8.8% | 91.5% | 100.3 | DULL | |
Total | 30 | 13 | 10 | 0 | 2 | 1 | 1 | 3 | 85 | 82 | 3 | 36 | 0.600 | 85 | 140 | 225 | 1 | 1 | 25 | 34 | 23 | 4 | 969 | 300 | 375 | 287 | 21 | 966 | 342 | 152 | 781 | 46 | 11 | 23.91% | 68 | 13 | 80.88% | 1 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 679 | 419 | 638 | 257 | 504 | 252 | 51.7% | 8.8% | 91.5% | 100.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 672 |
Neutral Zone Start | 424 |
Defensive Zone Start | 724 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1011 |
Faceoffs Lost | 809 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 32.1 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 72 |
---|---|
PP Goal | 11 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 8 | 8 |
Lost | 5 | 5 |
Overtime Lost | 3 | 1 |
PP Attempt | 46 |
---|---|
PP Goal | 11 |
PK Attempt | 68 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 32.3 |
Shots Against | 32.2 |
Goals For | 2.8 |
Goals Against | 2.7 |
Hits | 26.0 |
Shots Blocked | 11.4 |
Pim | 5.1 |
Projected Total Cap Hit | 78,550,000$ |
Projected Cap Space | 9,450,000$ |
Retains And Buyout Cap Hit | -1,000,000$ |
Salary Cap To Date | 30,734,939$ |
Players In Salary Cap | 22 |
LTIR Players | 1 |
Canadiens Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Artemi Panarin | LW | 29 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | UFA | |
Brayden McNabb | D | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Carey Price ![]() | G | 33 | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | UFA | |
Cedric Paquette | C/RW | 27 | 1,650,000$ | 1,650,000$ | |||||||
Colton Sceviour | C/LW/RW | 31 | 600,000$ | 750,000$ | UFA | ||||||
Corey Perry ![]() | RW | 35 | 750,000$ | 750,000$ | UFA | ||||||
Evan Bouchard ![]() | D | 21 | 925,000$ | 925,000$ | RFA | ||||||
Filip Zadina ![]() | LW/RW | 21 | 925,000$ | 925,000$ | RFA | ||||||
J.T. Miller | C/LW | 27 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Jack Eichel | C | 24 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | |
Joel Armia | RW | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
John Marino ![]() | D | 23 | 925,000$ | 925,000$ | RFA | ||||||
Luke Schenn ![]() ![]() | D | 31 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Nikita Zadorov | D | 25 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | |||
Oliver Ekman-Larsson | D | 29 | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA |
Robert Thomas ![]() | C/RW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Ryan Carpenter | C/RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Ryan Getzlaf | C | 35 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Ryan Miller ![]() ![]() | G | 40 | 750,000$ | 750,000$ | UFA | ||||||
Shea Theodore | D | 25 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
T.J. Oshie | RW | 34 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||
Teuvo Teravainen | LW/RW | 26 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA | |||
Trevor Lewis ![]() ![]() | C | 34 | 750,000$ | 750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Filip Gustavsson ![]() | G | 22 | 760,000$ | 760,000$ | RFA | ||||||
Gabriel Fortier ![]() | LW | 20 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Nikolay Prokhorkin ![]() ![]() | LW | 27 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | UFA | ||||
Scott Harrington ![]() ![]() | D | 27 | 750,000$ | 750,000$ | 750,000$ | UFA |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 0 | 1 | 67 | 21 | 34 | 11 | 1 | 67 | 28 | 8 | 46 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 46 | 29 | 42 | 15 | 32 | 16 | 38.5% | 7.5% | 86.6% | 94.0 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 35 | 7 | 11 | 17 | 0 | 43 | 16 | 6 | 29 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 19 | 11 | 24 | 8 | 15 | 7 | 60.0% | 8.6% | 95.3% | 103.9 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 24 | 9 | 12 | 3 | 0 | 34 | 8 | 8 | 29 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 20 | 12 | 21 | 9 | 17 | 8 | 40.0% | 8.3% | 88.2% | 96.6 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 1 | 0 | 1 | 0 | 41 | 18 | 19 | 4 | 0 | 25 | 11 | 4 | 34 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 26 | 16 | 17 | 8 | 16 | 8 | nan% | 4.9% | 100.0% | 104.9 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 31 | 14 | 10 | 7 | 0 | 24 | 6 | 2 | 15 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 22 | 13 | 19 | 8 | 17 | 9 | 66.7% | 6.5% | 95.8% | 102.3 | DULL | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 8 | 8 | 17 | 0 | 29 | 7 | 0 | 31 | 5 | 1 | 20.00% | 0 | 0 | 0.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 24 | 14 | 18 | 7 | 16 | 9 | 25.0% | 6.1% | 89.7% | 95.7 | Unlucky | |
7 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 9 | 11 | -2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 3 | 3 | 3 | 1 | 75 | 15 | 24 | 33 | 8 | 64 | 18 | 12 | 66 | 7 | 2 | 28.57% | 6 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 50 | 30 | 41 | 17 | 34 | 17 | 38.9% | 12.0% | 82.8% | 94.8 | FUN | |
8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 0 | 1 | 33 | 8 | 14 | 10 | 1 | 27 | 14 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 22 | 14 | 21 | 7 | 16 | 8 | 60.0% | 9.1% | 92.6% | 101.7 | LUCKY | |
9 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 0 | 4 | 2 | 1 | 63 | 19 | 27 | 16 | 4 | 65 | 26 | 6 | 55 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 49 | 31 | 40 | 16 | 35 | 17 | 55.6% | 11.1% | 93.8% | 105.0 | LUCKY | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 38 | 12 | 14 | 12 | 0 | 29 | 13 | 4 | 21 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 25 | 16 | 17 | 7 | 16 | 8 | 20.0% | 2.6% | 82.8% | 85.4 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 1 | 0 | 37 | 8 | 18 | 11 | 0 | 22 | 9 | 4 | 24 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 24 | 15 | 18 | 8 | 16 | 9 | 80.0% | 10.8% | 90.9% | 101.7 | FUN | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 15 | 25 | 0 | 0 | 6 | 4 | 0 | 0 | 52 | 21 | 20 | 11 | 0 | 65 | 21 | 17 | 45 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 38 | 23 | 45 | 18 | 35 | 16 | 71.4% | 19.2% | 93.8% | 113.1 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 28 | 8 | 10 | 10 | 0 | 47 | 15 | 10 | 24 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 18 | 11 | 25 | 9 | 15 | 6 | 50.0% | 14.3% | 89.4% | 103.6 | FUN | |
14 | 5 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 11 | 12 | -1 | 5 | 0.500 | 11 | 17 | 28 | 0 | 0 | 3 | 4 | 4 | 0 | 156 | 55 | 64 | 36 | 4 | 144 | 63 | 16 | 129 | 8 | 2 | 25.00% | 9 | 1 | 88.89% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 109 | 66 | 110 | 44 | 85 | 42 | 45.0% | 7.1% | 91.7% | 98.7 | DULL | |
15 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 6 | 3 | 5 | 0.833 | 9 | 15 | 24 | 0 | 0 | 1 | 2 | 6 | 0 | 97 | 29 | 30 | 38 | 3 | 105 | 30 | 18 | 77 | 4 | 1 | 25.00% | 9 | 4 | 55.56% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 70 | 44 | 62 | 25 | 52 | 26 | 80.0% | 9.3% | 94.3% | 103.6 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 7 | 9 | 14 | 0 | 31 | 11 | 6 | 33 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 21 | 12 | 22 | 8 | 16 | 7 | 50.0% | 3.3% | 93.5% | 96.9 | DULL | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 30 | 10 | 9 | 11 | 0 | 35 | 9 | 2 | 29 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 21 | 14 | 22 | 8 | 15 | 7 | 66.7% | 6.7% | 97.1% | 103.8 | DULL | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 7 | 18 | 11 | 0 | 29 | 10 | 4 | 15 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 21 | 14 | 22 | 8 | 15 | 7 | 33.3% | 5.6% | 89.7% | 95.2 | Unlucky | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 1 | 0 | 2 | 3 | 1 | 0 | 63 | 24 | 24 | 15 | 0 | 81 | 27 | 25 | 56 | 0 | 0 | 0.00% | 6 | 1 | 83.33% | 1 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 44 | 28 | 43 | 16 | 32 | 15 | 54.5% | 9.5% | 92.6% | 102.1 | LUCKY | |
_Vs Division | 14 | 6 | 5 | 0 | 1 | 0 | 1 | 1 | 39 | 37 | 2 | 17 | 0.607 | 39 | 61 | 100 | 0 | 0 | 12 | 17 | 8 | 2 | 428 | 142 | 184 | 99 | 9 | 439 | 165 | 61 | 348 | 17 | 5 | 29.41% | 29 | 4 | 86.21% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 308 | 190 | 305 | 121 | 237 | 116 | 50.7% | 9.1% | 91.6% | 100.7 | LUCKY | |
_Vs Conference | 19 | 7 | 8 | 0 | 2 | 0 | 1 | 1 | 48 | 50 | -2 | 21 | 0.553 | 48 | 77 | 125 | 0 | 0 | 16 | 20 | 9 | 3 | 593 | 191 | 239 | 159 | 10 | 579 | 216 | 73 | 471 | 28 | 6 | 21.43% | 35 | 6 | 82.86% | 0 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 424 | 262 | 406 | 162 | 320 | 160 | 48.8% | 8.1% | 91.4% | 99.5 | DULL | |
_Since Last GM Reset | 30 | 13 | 10 | 0 | 2 | 1 | 1 | 3 | 85 | 82 | 3 | 36 | 0.600 | 85 | 140 | 225 | 1 | 1 | 25 | 34 | 23 | 4 | 969 | 300 | 375 | 287 | 21 | 966 | 342 | 152 | 781 | 46 | 11 | 23.91% | 68 | 13 | 80.88% | 1 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 679 | 419 | 638 | 257 | 504 | 252 | 51.7% | 8.8% | 91.5% | 100.3 | DULL | |
Total | 30 | 13 | 10 | 0 | 2 | 1 | 1 | 3 | 85 | 82 | 3 | 36 | 0.600 | 85 | 140 | 225 | 1 | 1 | 25 | 34 | 23 | 4 | 969 | 300 | 375 | 287 | 21 | 966 | 342 | 152 | 781 | 46 | 11 | 23.91% | 68 | 13 | 80.88% | 1 | 377 | 672 | 56.10% | 409 | 724 | 56.49% | 225 | 424 | 53.07% | 679 | 419 | 638 | 257 | 504 | 252 | 51.7% | 8.8% | 91.5% | 100.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 672 |
Neutral Zone Start | 424 |
Defensive Zone Start | 724 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1011 |
Faceoffs Lost | 809 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 32.1 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 72 |
---|---|
PP Goal | 11 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 8 | 8 |
Lost | 5 | 5 |
Overtime Lost | 3 | 1 |
PP Attempt | 46 |
---|---|
PP Goal | 11 |
PK Attempt | 68 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 32.3 |
Shots Against | 32.2 |
Goals For | 2.8 |
Goals Against | 2.7 |
Hits | 26.0 |
Shots Blocked | 11.4 |
Pim | 5.1 |
Date | Matchup | Result | Detail | |||||||||||
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2020-12-09 | VS | MTL4,BOS3 (OT) | RECAP | |||||||||||
2020-12-13 | VS | MIN1,MTL3 | RECAP | |||||||||||
2020-12-15 | VS | OTT5,MTL2 | RECAP | |||||||||||
2020-12-16 | VS | MTL2,DET1 | RECAP | |||||||||||
2020-12-20 | VS | TOR4,MTL2 | RECAP | |||||||||||
2020-12-21 | VS | MTL3,OTT1 | RECAP | |||||||||||
2020-12-23 | VS | VAN0,MTL2 | RECAP | |||||||||||
2020-12-26 | VS | MTL1,NYR2 | RECAP | |||||||||||
2020-12-27 | VS | MTL4,FLA2 | RECAP | |||||||||||
2020-12-30 | VS | OTT1,MTL3 | RECAP | |||||||||||
2021-01-02 | VS | Buf2,MTL3 (SO) | RECAP | |||||||||||
2021-01-04 | VS | MTL1,OTT2 | RECAP | |||||||||||
2021-01-06 | VS | STL7,MTL6 (SO) | RECAP | |||||||||||
2021-01-09 | VS | FLA2,MTL6 | RECAP | |||||||||||
2021-01-13 | VS | BOS6,MTL1 | RECAP | |||||||||||
2021-01-15 | VS | MTL4,SJS2 | RECAP | |||||||||||
2021-01-17 | VS | SJS4,MTL2 | RECAP | |||||||||||
2021-01-19 | VS | MTL3,COL2 | RECAP | |||||||||||
2021-01-22 | VS | MTL2,PHI1 | RECAP | |||||||||||
2021-01-24 | VS | STL4,MTL3 (OT) | RECAP | |||||||||||
2021-01-26 | VS | MTL4,ARI5 | RECAP | |||||||||||
2021-01-28 | VS | Buf2,MTL4 | RECAP | |||||||||||
2021-01-31 | VS | LAK2,MTL4 | RECAP | |||||||||||
2021-02-03 | VS | MTL3,WSH2 (OT) | RECAP | |||||||||||
2021-02-05 | VS | CAR5,MTL1 | RECAP | |||||||||||
2021-02-07 | VS | MTL2,PIT3 | RECAP | |||||||||||
2021-02-09 | VS | MTL2,TBL3 | RECAP | |||||||||||
2021-02-11 | VS | OTT3,MTL2 (SO) | RECAP | |||||||||||
2021-02-14 | VS | MIN2,MTL4 | RECAP | |||||||||||
2021-02-16 | VS | MTL2,MIN3 (SO) | RECAP | |||||||||||
2021-02-19 | VS | |||||||||||||
2021-02-22 | VS | |||||||||||||
2021-02-25 | VS | |||||||||||||
2021-02-26 | VS | |||||||||||||
2021-03-03 | VS | |||||||||||||
2021-03-07 | VS | |||||||||||||
2021-03-12 | VS | |||||||||||||
2021-03-17 | VS | |||||||||||||
2021-03-21 | VS | |||||||||||||
2021-03-22 | VS | |||||||||||||
2021-03-26 | VS | |||||||||||||
2021-03-27 | VS | |||||||||||||
2021-03-30 | VS | |||||||||||||
2021-03-31 | VS | |||||||||||||
2021-04-05 | VS | |||||||||||||
2021-04-07 | VS | |||||||||||||
2021-04-09 | VS | |||||||||||||
2021-04-10 | VS | |||||||||||||
2021-04-13 | VS | |||||||||||||
2021-04-14 | VS | |||||||||||||
2021-04-17 | VS | |||||||||||||
2021-04-18 | VS | |||||||||||||
2021-04-21 | VS | |||||||||||||
2021-04-22 | VS | |||||||||||||
2021-04-26 | VS | |||||||||||||
2021-04-28 | VS | |||||||||||||
2021-04-30 | VS | |||||||||||||
2021-05-01 | VS | |||||||||||||
2021-05-05 | VS | |||||||||||||
2021-05-07 | VS | |||||||||||||
2021-05-09 | VS | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2021-05-12 | VS | |||||||||||||
2021-05-14 | VS | |||||||||||||
2021-05-16 | VS | |||||||||||||
2021-05-17 | VS | |||||||||||||
2021-05-20 | VS | |||||||||||||
2021-05-21 | VS | |||||||||||||
2021-05-25 | VS | |||||||||||||
2021-05-27 | VS | |||||||||||||
2021-05-29 | VS | |||||||||||||
2021-05-30 | VS | |||||||||||||
2021-06-02 | VS | |||||||||||||
2021-06-05 | VS | |||||||||||||
2021-06-06 | VS | |||||||||||||
2021-06-10 | VS | |||||||||||||
2021-06-11 | VS | |||||||||||||
2021-06-12 | VS | |||||||||||||
2021-06-15 | VS | |||||||||||||
2021-06-16 | VS | |||||||||||||
2021-06-17 | VS | |||||||||||||
2021-06-18 | VS | |||||||||||||
2021-06-19 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
86,800,000$ | -1,000,000$ | 78,550,000$ | 9,450,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Centre Bell | |
City | Montreal | ||
Capacity | 21273 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6004 | 5010 | 3050 | 4400 | 2809 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 82159 | 71291 | 39040 | 56937 | 35952 |
Attendance PCT | 85.53% | 88.94% | 80.00% | 80.88% | 79.99% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
25 | 17836 - 83.84% | 2,372,205$ | 37,955,282$ | 21273 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
86,800,000$ | 86,650,000$ | 0$ | -1,000,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
32,604,827$ | 78,550,000$ | 30,734,939$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
59,305,128$ | 125 | 463,265$ | 57,908,125$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
58,938,222$ | 78,550,000$ | 79,970,555$ | 84,528,975$ |
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 |
---|---|---|---|---|---|
2021 | |||||
2022 | |||||
2023 | |||||
2024 | |||||
2025 |
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 |
---|---|---|---|---|---|
Alexandr Barabanov | |||||
Antti Tuomisto | |||||
Bobby Brink | |||||
Kaedan korczak | |||||
Mason Lohrei | |||||
Pyotr kochetkov | |||||
Sean Farell |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2021 | |||||
2022 | |||||
2023 | |||||
2024 | |||||
2025 |
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 |
---|---|---|---|---|---|
Alexandr Barabanov | |||||
Antti Tuomisto | |||||
Bobby Brink | |||||
Kaedan korczak | |||||
Mason Lohrei | |||||
Pyotr kochetkov | |||||
Sean Farell |
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