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Full Scoreboard »» |
Vancouver Canucks 21-24-5, 47pts · 15th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 78 | 44 | 98 | 85 | 71 | 69 | 90 | 64 | 37 | 69 | 70 | 75 | 75 | 72 | 74 | 74 | 50 | 0 | 29 | 2,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 43 | 83 | 86 | 66 | 84 | 92 | 91 | 49 | 85 | 95 | 64 | 42 | 67 | 69 | 85 | 50 | 0 | 26 | 6,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 43 | 87 | 93 | 70 | 81 | 94 | 89 | 52 | 91 | 96 | 66 | 63 | 59 | 60 | 88 | 50 | 0 | 24 | 9,000,000$/5yrs | |||
![]() | 0 | LW | 100.00 | 57 | 39 | 89 | 92 | 59 | 79 | 94 | 83 | 25 | 95 | 92 | 66 | 57 | 73 | 73 | 85 | 50 | 0 | 28 | 6,750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 63 | 41 | 91 | 79 | 68 | 76 | 77 | 79 | 88 | 79 | 84 | 67 | 37 | 77 | 77 | 79 | 50 | 0 | 31 | 5,825,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 41 | 89 | 88 | 61 | 79 | 82 | 86 | 39 | 92 | 85 | 66 | 83 | 73 | 77 | 82 | 50 | 0 | 34 | 6,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 44 | 90 | 82 | 79 | 75 | 86 | 78 | 69 | 75 | 72 | 68 | 63 | 66 | 66 | 74 | 50 | 0 | 24 | 2,250,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 77 | 43 | 90 | 76 | 67 | 72 | 85 | 65 | 87 | 67 | 71 | 84 | 25 | 59 | 60 | 74 | 50 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 77 | 56 | 86 | 77 | 64 | 67 | 77 | 59 | 32 | 65 | 59 | 85 | 25 | 58 | 59 | 68 | 50 | 0 | 25 | 725,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 87 | 45 | 80 | 77 | 71 | 67 | 86 | 62 | 95 | 67 | 70 | 86 | 25 | 66 | 67 | 74 | 50 | 0 | 31 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 65 | 41 | 96 | 77 | 66 | 59 | 84 | 61 | 83 | 63 | 64 | 82 | 75 | 69 | 69 | 69 | 50 | 0 | 34 | 1,250,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 76 | 44 | 86 | 85 | 71 | 79 | 85 | 91 | 90 | 92 | 95 | 66 | 61 | 81 | 86 | 87 | 50 | 0 | 31 | 8,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 79 | 45 | 77 | 78 | 79 | 76 | 72 | 64 | 25 | 68 | 49 | 83 | 51 | 85 | 85 | 66 | 50 | 0 | 35 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 42 | 90 | 85 | 73 | 83 | 91 | 72 | 25 | 62 | 48 | 71 | 63 | 79 | 86 | 65 | 50 | 0 | 30 | 5,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 58 | 92 | 75 | 77 | 67 | 62 | 55 | 25 | 55 | 48 | 72 | 25 | 47 | 47 | 61 | 50 | 0 | 20 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 76 | 56 | 72 | 84 | 78 | 87 | 77 | 77 | 25 | 64 | 58 | 85 | 75 | 67 | 67 | 71 | 50 | 0 | 23 | 4,600,000$/4yrs | |||
![]() | 0 | D | 100.00 | 87 | 45 | 91 | 80 | 67 | 88 | 85 | 64 | 25 | 54 | 48 | 94 | 25 | 61 | 61 | 67 | 50 | 0 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 91 | 68 | 72 | 97 | 76 | 89 | 58 | 25 | 52 | 48 | 81 | 57 | 99 | 99 | 63 | 50 | 0 | 44 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 91 | 46 | 99 | 65 | 74 | 53 | 71 | 55 | 26 | 50 | 55 | 74 | 25 | 44 | 44 | 63 | 50 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 43 | 90 | 72 | 83 | 59 | 65 | 66 | 60 | 62 | 68 | 65 | 63 | 99 | 99 | 67 | 50 | 0 | 42 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 43 | 86 | 77 | 69 | 56 | 68 | 66 | 38 | 62 | 56 | 67 | 25 | 65 | 65 | 64 | 50 | 0 | 27 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 44 | 87 | 75 | 80 | 54 | 54 | 52 | 25 | 50 | 55 | 78 | 63 | 55 | 55 | 62 | 50 | 0 | 26 | 750,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 75 | 47 | 87 | 80 | 72 | 72 | 80 | 70 | 48 | 69 | 68 | 75 | 50 | 69 | 70 | 72 | 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 | 58 | 41 | 51 | 80 | 65 | 60 | 54 | 61 | 62 | 60 | 30 | 69 | 69 | 58 | 50 | 0 | 35 | 700,000$/1yrs |
![]() | 0 | 100.00 | 46 | 52 | 65 | 71 | 45 | 92 | 45 | 51 | 90 | 81 | 45 | 73 | 78 | 63 | 50 | 0 | 34 | 1,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 43 | 40 | 50 | 58 | 42 | 44 | 50 | 51 | 47 | 48 | 30 | 44 | 44 | 46 | 50 | 0 | 34 | 785,000$/1yrs |
TEAM AVERAGE | 100.00 | 49 | 44 | 55 | 70 | 51 | 65 | 50 | 54 | 66 | 63 | 35 | 62 | 64 | 56 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 88 | 57 | 81 | 72 | 77 | 56 | 71 | 61 | 36 | 57 | 57 | 74 | 25 | 50 | 50 | 64 | 69 | 0 | 23 | 758,333$/3yrs | |||
![]() | 0 | C | 100.00 | 76 | 43 | 93 | 72 | 69 | 59 | 83 | 53 | 68 | 60 | 57 | 74 | 25 | 47 | 47 | 64 | 69 | 0 | 22 | 778,333$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 63 | 84 | 72 | 63 | 69 | 70 | 65 | 50 | 59 | 67 | 62 | 64 | 44 | 44 | 66 | 69 | 0 | 20 | 925,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 84 | 45 | 89 | 71 | 70 | 57 | 67 | 60 | 52 | 57 | 55 | 64 | 25 | 48 | 48 | 61 | 69 | 0 | 24 | 750,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 64 | 93 | 65 | 64 | 62 | 63 | 61 | 50 | 56 | 62 | 63 | 59 | 44 | 44 | 64 | 69 | 0 | 22 | 842,500$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 42 | 88 | 78 | 64 | 70 | 68 | 64 | 25 | 39 | 47 | 74 | 25 | 45 | 45 | 59 | 69 | 0 | 20 | 863,333$/3yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 47 | 43 | 54 | 80 | 48 | 47 | 50 | 53 | 49 | 49 | 30 | 44 | 44 | 48 | 69 | 0 | 22 | 925,000$/3yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeremy Colliton | 82 | 83 | 83 | 87 | 54 | 50 | 89 | CAN | 37 | 1 | 2,000,000$ |
General Manager | Frederic Jannelle |
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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 | Kirill Kaprizov | 0 | LW/RW | 50 | 18 | 28 | 46 | 1 | 21 | 5 | 81 | 207 | 68 | 111 | 8.70% | 26 | 20.24 | 5 | 5 | 10 | 97 | 0 | 0 | 0 | 4 | 3 | 2 | 34.83% | 89 | 42 | 20 | 0 | 0 | 0.91 | 1 | 5 | ||
2 | Johnny Gaudreau | 0 | LW | 50 | 17 | 26 | 43 | 4 | 4 | 0 | 54 | 142 | 51 | 100 | 11.97% | 9 | 18.97 | 3 | 7 | 10 | 98 | 0 | 0 | 0 | 0 | 3 | 0 | 22.54% | 71 | 37 | 14 | 1 | 0 | 0.91 | 1 | 2 | ||
3 | Steven Stamkos | 0 | C/RW | 50 | 17 | 22 | 39 | 3 | 28 | 20 | 81 | 158 | 53 | 127 | 10.76% | 23 | 19.97 | 3 | 6 | 9 | 97 | 0 | 0 | 0 | 0 | 2 | 0 | 52.48% | 1332 | 36 | 18 | 0 | 0 | 0.78 | 1 | 5 | ||
4 | Mats Zuccarello | 0 | C/LW/RW | 50 | 11 | 15 | 26 | 5 | 4 | 0 | 62 | 166 | 46 | 75 | 6.63% | 21 | 16.74 | 1 | 2 | 3 | 84 | 0 | 0 | 0 | 2 | 1 | 0 | 40.54% | 37 | 34 | 10 | 0 | 0 | 0.62 | 0 | 4 | ||
5 | Pavel Zacha | 0 | C/LW | 50 | 10 | 11 | 21 | -7 | 7 | 5 | 62 | 127 | 53 | 58 | 7.87% | 14 | 13.11 | 0 | 2 | 2 | 12 | 0 | 0 | 0 | 35 | 2 | 0 | 31.03% | 29 | 24 | 7 | 2 | 0 | 0.64 | 0 | 1 | ||
6 | Jake Guentzel | 0 | LW/RW | 50 | 8 | 12 | 20 | 1 | 6 | 0 | 92 | 157 | 46 | 99 | 5.10% | 17 | 17.10 | 1 | 1 | 2 | 88 | 0 | 0 | 0 | 34 | 1 | 1 | 37.78% | 45 | 39 | 12 | 0 | 0 | 0.47 | 0 | 0 | ||
7 | Nic Dowd | 0 | C/RW | 50 | 9 | 11 | 20 | 5 | 15 | 5 | 58 | 84 | 36 | 50 | 10.71% | 11 | 10.74 | 0 | 0 | 0 | 1 | 2 | 2 | 4 | 96 | 2 | 2 | 57.10% | 303 | 27 | 15 | 0 | 0 | 0.74 | 0 | 0 | ||
8 | Adam Henrique | 0 | C/LW | 50 | 7 | 12 | 19 | 2 | 11 | 5 | 63 | 56 | 17 | 32 | 12.50% | 21 | 16.47 | 0 | 1 | 1 | 85 | 0 | 0 | 0 | 10 | 3 | 0 | 54.02% | 609 | 9 | 9 | 0 | 0 | 0.46 | 0 | 0 | ||
9 | Derek Ryan | 0 | C/RW | 50 | 7 | 8 | 15 | 8 | 7 | 5 | 28 | 72 | 24 | 45 | 9.72% | 12 | 9.23 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 43 | 1 | 1 | 33.33% | 6 | 12 | 9 | 0 | 0 | 0.65 | 0 | 0 | ||
10 | Jakob Chychrun | 0 | D | 50 | 5 | 8 | 13 | -5 | 108 | 10 | 104 | 96 | 23 | 34 | 5.21% | 77 | 26.40 | 4 | 1 | 5 | 117 | 0 | 1 | 1 | 69 | 0 | 0 | 0.00% | 0 | 20 | 42 | 0 | 0 | 0.20 | 1 | 1 | ||
11 | Jesper Fast | 0 | RW | 50 | 6 | 6 | 12 | -8 | 2 | 0 | 41 | 99 | 17 | 53 | 6.06% | 13 | 11.93 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 1 | 0 | 41.18% | 17 | 16 | 11 | 0 | 0 | 0.40 | 1 | 1 | ||
12 | Alexander Edler | 0 | D | 50 | 1 | 10 | 11 | 10 | 47 | 5 | 69 | 45 | 21 | 18 | 2.22% | 59 | 19.35 | 0 | 0 | 0 | 76 | 0 | 0 | 0 | 67 | 0 | 0 | 0.00% | 0 | 7 | 19 | 1 | 0 | 0.23 | 0 | 0 | ||
13 | Jake Evans | 0 | C/RW | 50 | 6 | 5 | 11 | 1 | 6 | 0 | 63 | 65 | 19 | 46 | 9.23% | 27 | 12.44 | 1 | 0 | 1 | 3 | 1 | 0 | 1 | 42 | 0 | 0 | 58.66% | 254 | 13 | 14 | 0 | 0 | 0.35 | 0 | 0 | ||
14 | Logan O'Connor | 0 | RW | 50 | 3 | 8 | 11 | 8 | 9 | 5 | 33 | 56 | 24 | 34 | 5.36% | 16 | 10.42 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 100 | 0 | 0 | 40.00% | 20 | 11 | 7 | 0 | 0 | 0.42 | 0 | 0 | ||
15 | Mario Ferraro | 0 | D | 50 | 1 | 10 | 11 | -1 | 4 | 0 | 82 | 48 | 25 | 34 | 2.08% | 70 | 23.68 | 0 | 0 | 0 | 71 | 1 | 0 | 1 | 105 | 0 | 0 | 0.00% | 0 | 7 | 41 | 0 | 0 | 0.19 | 0 | 1 | ||
16 | Nick Leddy | 0 | D | 50 | 1 | 7 | 8 | 5 | 2 | 0 | 39 | 37 | 13 | 19 | 2.70% | 57 | 21.84 | 0 | 2 | 2 | 119 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 9 | 30 | 0 | 0 | 0.15 | 0 | 0 | ||
17 | Braden Schneider | 0 | D | 50 | 0 | 7 | 7 | 4 | 24 | 20 | 28 | 26 | 9 | 15 | 0.00% | 45 | 14.99 | 0 | 0 | 0 | 7 | 0 | 2 | 2 | 54 | 0 | 0 | 0.00% | 0 | 1 | 21 | 0 | 0 | 0.19 | 0 | 0 | ||
18 | Zdeno Chara | 0 | D | 50 | 1 | 5 | 6 | 4 | 52 | 20 | 63 | 30 | 14 | 10 | 3.33% | 39 | 14.84 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 62 | 0 | 0 | 0.00% | 0 | 3 | 25 | 0 | 0 | 0.16 | 0 | 0 | ||
Team Total or Average | 900 | 128 | 211 | 339 | 40 | 357 | 105 | 1103 | 1671 | 559 | 960 | 7.66% | 557 | 16.58 | 18 | 27 | 45 | 976 | 5 | 8 | 13 | 740 | 19 | 6 | 51.74% | 2812 | 347 | 324 | 4 | 0 | 0.45 | 5 | 20 |
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 | Tuukka Rask | 40 | 16 | 18 | 5 | 0.911 | 2.70 | 2311 | 0 | 0 | 104 | 1165 | 557 | 2 | 0 | 0.562 | 16 | 40 | 9 | 6 | 4 | 1 | |
2 | Cory Schneider | 13 | 5 | 6 | 0 | 0.914 | 2.37 | 709 | 0 | 1 | 28 | 324 | 192 | 0 | 2 | 1.000 | 3 | 10 | 37 | 1 | 1 | 0 | |
Team Total or Average | 53 | 21 | 24 | 5 | 0.911 | 2.62 | 3020 | 0 | 1 | 132 | 1489 | 749 | 2 | 2 | 0.632 | 19 | 50 | 46 | 7 | 5 | 1 |
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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 13 | 5 | 11 | 0 | 32 | 18 | 11 | 26 | 5 | 1 | 20.00% | 3 | 2 | 33.33% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 20 | 12 | 21 | 9 | 17 | 9 | 50.0% | 6.9% | 90.6% | 97.5 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 42 | 19 | 12 | 11 | 0 | 32 | 9 | 8 | 14 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 21 | 13 | 21 | 8 | 17 | 8 | 83.3% | 11.9% | 96.9% | 108.8 | LUCKY | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 1 | 2 | 0 | 63 | 26 | 18 | 19 | 0 | 67 | 29 | 20 | 43 | 8 | 2 | 25.00% | 10 | 1 | 90.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 45 | 26 | 41 | 18 | 32 | 15 | 44.4% | 9.5% | 91.0% | 100.6 | FUN | |
4 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 2 | 0 | 67 | 21 | 25 | 21 | 0 | 60 | 16 | 22 | 38 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 45 | 27 | 42 | 17 | 35 | 17 | 38.5% | 9.0% | 85.0% | 94.0 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 0 | 3 | 0 | 33 | 13 | 10 | 10 | 0 | 33 | 6 | 4 | 36 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 22 | 13 | 17 | 9 | 19 | 8 | 62.5% | 18.2% | 90.9% | 109.1 | FUN | |
6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 104 | 28 | 35 | 41 | 0 | 92 | 33 | 8 | 73 | 7 | 2 | 28.57% | 4 | 3 | 25.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 65 | 40 | 64 | 24 | 50 | 24 | 40.0% | 5.8% | 90.2% | 96.0 | Unlucky | |
7 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 6 | 11 | -5 | 1 | 0.167 | 6 | 9 | 15 | 0 | 0 | 3 | 1 | 2 | 0 | 97 | 34 | 28 | 31 | 6 | 98 | 39 | 25 | 70 | 6 | 3 | 50.00% | 10 | 4 | 60.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 64 | 38 | 66 | 27 | 53 | 25 | 30.0% | 6.2% | 88.8% | 95.0 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 3 | 0 | 80 | 20 | 24 | 36 | 0 | 63 | 18 | 10 | 47 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 1 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 51 | 32 | 33 | 17 | 34 | 17 | 71.4% | 7.5% | 95.2% | 102.7 | DULL | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 30 | 13 | 9 | 8 | 0 | 25 | 3 | 10 | 28 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 21 | 12 | 19 | 8 | 19 | 9 | 60.0% | 10.0% | 92.0% | 102.0 | LUCKY | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 33 | 17 | 5 | 8 | 7 | 29 | 15 | 2 | 20 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 22 | 14 | 23 | 9 | 19 | 9 | 40.0% | 6.1% | 89.7% | 95.7 | Unlucky | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 0 | 2 | 0 | 0 | 64 | 21 | 22 | 21 | 0 | 49 | 24 | 8 | 40 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 1 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 45 | 28 | 37 | 17 | 36 | 17 | 25.0% | 3.1% | 85.7% | 88.8 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 37 | 15 | 14 | 8 | 0 | 35 | 14 | 10 | 22 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 22 | 13 | 20 | 9 | 17 | 7 | 60.0% | 8.1% | 88.6% | 96.7 | Unlucky | |
13 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 0 | 1 | 4 | 4 | 63 | 17 | 11 | 34 | 11 | 52 | 16 | 17 | 36 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 48 | 27 | 40 | 19 | 41 | 21 | 70.0% | 11.1% | 90.4% | 101.5 | FUN | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 4 | 0 | 0 | 78 | 28 | 27 | 23 | 0 | 57 | 17 | 12 | 40 | 5 | 1 | 20.00% | 6 | 3 | 50.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 47 | 29 | 39 | 16 | 32 | 16 | 37.5% | 5.1% | 86.0% | 91.1 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 3 | 0 | 68 | 21 | 24 | 23 | 0 | 42 | 22 | 5 | 51 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 47 | 29 | 37 | 18 | 34 | 17 | 58.3% | 11.8% | 88.1% | 99.9 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 39 | 11 | 13 | 15 | 0 | 32 | 15 | 9 | 20 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 22 | 13 | 21 | 8 | 16 | 7 | 50.0% | 5.1% | 90.6% | 95.8 | Unlucky | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 33 | 12 | 6 | 15 | 0 | 38 | 13 | 18 | 24 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 21 | 11 | 21 | 9 | 17 | 7 | 66.7% | 9.1% | 97.4% | 106.5 | LUCKY | |
18 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.167 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 1 | 91 | 29 | 35 | 24 | 6 | 95 | 32 | 14 | 60 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 67 | 41 | 64 | 26 | 53 | 25 | 44.4% | 4.4% | 92.6% | 97.0 | DULL | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 14 | 23 | 0 | 0 | 3 | 4 | 2 | 0 | 69 | 32 | 18 | 19 | 0 | 52 | 22 | 12 | 40 | 5 | 1 | 20.00% | 6 | 3 | 50.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 45 | 28 | 39 | 17 | 34 | 17 | 72.7% | 13.0% | 88.5% | 101.5 | FUN | |
20 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 3 | 0.500 | 4 | 7 | 11 | 1 | 0 | 1 | 2 | 1 | 0 | 102 | 30 | 41 | 31 | 0 | 101 | 45 | 2 | 59 | 8 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 69 | 42 | 60 | 24 | 49 | 25 | 40.0% | 3.9% | 94.1% | 98.0 | DULL | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 30 | 15 | 8 | 7 | 0 | 22 | 13 | 4 | 27 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 21 | 11 | 19 | 8 | 18 | 9 | 75.0% | 13.3% | 90.9% | 104.2 | FUN | |
22 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 3 | 3 | 3 | 1 | 112 | 34 | 46 | 30 | 2 | 100 | 39 | 24 | 55 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 1 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 69 | 43 | 59 | 24 | 51 | 26 | 60.0% | 8.9% | 92.0% | 100.9 | Unlucky | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 12 | 10 | 14 | 0 | 29 | 8 | 4 | 18 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 19 | 10 | 22 | 9 | 17 | 9 | 40.0% | 5.6% | 89.7% | 95.2 | Unlucky | |
24 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 60 | 20 | 23 | 17 | 0 | 62 | 28 | 8 | 44 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 44 | 26 | 42 | 17 | 33 | 16 | 22.2% | 3.3% | 88.7% | 92.0 | Unlucky | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 1 | 3 | 0 | 67 | 27 | 19 | 21 | 0 | 57 | 16 | 21 | 51 | 5 | 1 | 20.00% | 8 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 42 | 24 | 41 | 18 | 35 | 17 | 66.7% | 10.4% | 94.7% | 105.2 | LUCKY | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 1 | 4 | 0 | 52 | 19 | 15 | 18 | 0 | 60 | 22 | 52 | 57 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 42 | 24 | 43 | 18 | 34 | 15 | 50.0% | 9.6% | 90.0% | 99.6 | FUN | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 12 | 12 | 6 | 0 | 26 | 11 | 9 | 22 | 1 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 23 | 14 | 19 | 8 | 17 | 8 | 33.3% | 3.3% | 80.8% | 84.1 | Unlucky | |
28 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 7 | 12 | 0 | 1 | 0 | 3 | 2 | 0 | 62 | 24 | 21 | 17 | 0 | 51 | 14 | 8 | 42 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 43 | 24 | 38 | 19 | 37 | 19 | 83.3% | 8.1% | 98.0% | 106.1 | DULL | |
_Vs Division | 15 | 6 | 6 | 0 | 1 | 1 | 0 | 1 | 34 | 34 | 0 | 16 | 0.533 | 34 | 57 | 91 | 1 | 1 | 8 | 14 | 11 | 2 | 526 | 175 | 195 | 151 | 8 | 468 | 171 | 77 | 290 | 29 | 2 | 6.90% | 31 | 8 | 74.19% | 3 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 341 | 207 | 306 | 128 | 257 | 130 | 55.2% | 6.5% | 92.7% | 99.2 | DULL | |
_Vs Conference | 27 | 9 | 13 | 0 | 1 | 1 | 0 | 3 | 63 | 75 | -12 | 24 | 0.444 | 63 | 106 | 169 | 1 | 1 | 20 | 19 | 23 | 2 | 912 | 313 | 314 | 273 | 21 | 841 | 311 | 187 | 590 | 49 | 8 | 16.33% | 63 | 21 | 66.67% | 3 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 604 | 367 | 563 | 235 | 468 | 231 | 50.5% | 6.9% | 91.1% | 98.0 | Unlucky | |
_Since Last GM Reset | 50 | 18 | 24 | 0 | 1 | 2 | 2 | 3 | 130 | 137 | -7 | 47 | 0.470 | 130 | 211 | 341 | 2 | 1 | 36 | 43 | 48 | 6 | 1671 | 583 | 536 | 539 | 32 | 1491 | 557 | 357 | 1103 | 113 | 18 | 15.93% | 124 | 33 | 73.39% | 5 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 1128 | 676 | 1024 | 442 | 875 | 435 | 51.9% | 7.8% | 90.8% | 98.6 | Unlucky | |
Total | 50 | 18 | 24 | 0 | 1 | 2 | 2 | 3 | 130 | 137 | -7 | 47 | 0.470 | 130 | 211 | 341 | 2 | 1 | 36 | 43 | 48 | 6 | 1671 | 583 | 536 | 539 | 32 | 1491 | 557 | 357 | 1103 | 113 | 18 | 15.93% | 124 | 33 | 73.39% | 5 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 1128 | 676 | 1024 | 442 | 875 | 435 | 51.9% | 7.8% | 90.8% | 98.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1074 |
Neutral Zone Start | 689 |
Defensive Zone Start | 1049 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1455 |
Faceoffs Lost | 1357 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.7 | 9.57 |
2nd Period | 22.4 | 20.31 |
3rd Period | 33.2 | 30.68 |
Overtime | 33.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 105 |
---|---|
PP Goal | 18 |
PK Goal | 5 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 9 | 12 |
Lost | 13 | 11 |
Overtime Lost | 2 | 3 |
PP Attempt | 113 |
---|---|
PP Goal | 18 |
PK Attempt | 124 |
PK Goal Against | 33 |
Home | |
---|---|
Shots For | 33.4 |
Shots Against | 29.8 |
Goals For | 2.6 |
Goals Against | 2.7 |
Hits | 22.1 |
Shots Blocked | 11.1 |
Pim | 7.1 |
Projected Total Cap Hit | 71,485,000$ |
Projected Cap Space | 10,015,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 46,620,600$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Canucks Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Henrique ![]() | C/LW | 31 | 5,825,000$ | 5,825,000$ | 5,825,000$ | 5,825,000$ | |||||
Alex Stalock ![]() | G | 34 | 785,000$ | 785,000$ | |||||||
Alexander Edler ![]() | D | 35 | 3,500,000$ | 3,500,000$ | |||||||
Braden Schneider ![]() | D | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Cole Smith ![]() | LW | 25 | 750,000$ | 750,000$ | |||||||
Cory Schneider ![]() | G | 35 | 700,000$ | 700,000$ | |||||||
Derek Ryan ![]() | C/RW | 34 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
Dominik Simon ![]() | LW/RW | 27 | 750,000$ | 750,000$ | |||||||
Jake Evans ![]() | C/RW | 25 | 750,000$ | 750,000$ | |||||||
Jake Guentzel ![]() | LW/RW | 26 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Jakob Chychrun ![]() | D | 23 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | ||||
Jesper Fast ![]() | RW | 29 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Joe Thornton ![]() | C/LW | 42 | 750,000$ | 750,000$ | |||||||
Johnny Gaudreau ![]() | LW | 28 | 6,750,000$ | 6,750,000$ | |||||||
Justin Bailey ![]() | LW/RW | 26 | 750,000$ | 750,000$ | |||||||
Kirill Kaprizov ![]() | LW/RW | 24 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | |||
Logan O'Connor ![]() | RW | 25 | 725,000$ | 725,000$ | |||||||
Mario Ferraro ![]() | D | 23 | 925,000$ | 925,000$ | |||||||
Mats Zuccarello ![]() | C/LW/RW | 34 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Nic Dowd ![]() | C/RW | 31 | 750,000$ | 750,000$ | |||||||
Nick Leddy ![]() | D | 30 | 5,500,000$ | 5,500,000$ | |||||||
Pavel Zacha ![]() | C/LW | 24 | 2,250,000$ | 2,250,000$ | |||||||
Steven Stamkos ![]() | C/RW | 31 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | |||||
Tuukka Rask ![]() | G | 34 | 1,000,000$ | 1,000,000$ | |||||||
Zdeno Chara ![]() | D | 44 | 750,000$ | 750,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 13 | 5 | 11 | 0 | 32 | 18 | 11 | 26 | 5 | 1 | 20.00% | 3 | 2 | 33.33% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 20 | 12 | 21 | 9 | 17 | 9 | 50.0% | 6.9% | 90.6% | 97.5 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 42 | 19 | 12 | 11 | 0 | 32 | 9 | 8 | 14 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 21 | 13 | 21 | 8 | 17 | 8 | 83.3% | 11.9% | 96.9% | 108.8 | LUCKY | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 1 | 2 | 0 | 63 | 26 | 18 | 19 | 0 | 67 | 29 | 20 | 43 | 8 | 2 | 25.00% | 10 | 1 | 90.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 45 | 26 | 41 | 18 | 32 | 15 | 44.4% | 9.5% | 91.0% | 100.6 | FUN | |
4 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 2 | 0 | 67 | 21 | 25 | 21 | 0 | 60 | 16 | 22 | 38 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 45 | 27 | 42 | 17 | 35 | 17 | 38.5% | 9.0% | 85.0% | 94.0 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 0 | 3 | 0 | 33 | 13 | 10 | 10 | 0 | 33 | 6 | 4 | 36 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 22 | 13 | 17 | 9 | 19 | 8 | 62.5% | 18.2% | 90.9% | 109.1 | FUN | |
6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 104 | 28 | 35 | 41 | 0 | 92 | 33 | 8 | 73 | 7 | 2 | 28.57% | 4 | 3 | 25.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 65 | 40 | 64 | 24 | 50 | 24 | 40.0% | 5.8% | 90.2% | 96.0 | Unlucky | |
7 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 6 | 11 | -5 | 1 | 0.167 | 6 | 9 | 15 | 0 | 0 | 3 | 1 | 2 | 0 | 97 | 34 | 28 | 31 | 6 | 98 | 39 | 25 | 70 | 6 | 3 | 50.00% | 10 | 4 | 60.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 64 | 38 | 66 | 27 | 53 | 25 | 30.0% | 6.2% | 88.8% | 95.0 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 3 | 0 | 80 | 20 | 24 | 36 | 0 | 63 | 18 | 10 | 47 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 1 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 51 | 32 | 33 | 17 | 34 | 17 | 71.4% | 7.5% | 95.2% | 102.7 | DULL | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 30 | 13 | 9 | 8 | 0 | 25 | 3 | 10 | 28 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 21 | 12 | 19 | 8 | 19 | 9 | 60.0% | 10.0% | 92.0% | 102.0 | LUCKY | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 33 | 17 | 5 | 8 | 7 | 29 | 15 | 2 | 20 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 22 | 14 | 23 | 9 | 19 | 9 | 40.0% | 6.1% | 89.7% | 95.7 | Unlucky | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 0 | 2 | 0 | 0 | 64 | 21 | 22 | 21 | 0 | 49 | 24 | 8 | 40 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 1 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 45 | 28 | 37 | 17 | 36 | 17 | 25.0% | 3.1% | 85.7% | 88.8 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 37 | 15 | 14 | 8 | 0 | 35 | 14 | 10 | 22 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 22 | 13 | 20 | 9 | 17 | 7 | 60.0% | 8.1% | 88.6% | 96.7 | Unlucky | |
13 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 0 | 1 | 4 | 4 | 63 | 17 | 11 | 34 | 11 | 52 | 16 | 17 | 36 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 48 | 27 | 40 | 19 | 41 | 21 | 70.0% | 11.1% | 90.4% | 101.5 | FUN | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 4 | 0 | 0 | 78 | 28 | 27 | 23 | 0 | 57 | 17 | 12 | 40 | 5 | 1 | 20.00% | 6 | 3 | 50.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 47 | 29 | 39 | 16 | 32 | 16 | 37.5% | 5.1% | 86.0% | 91.1 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 3 | 0 | 68 | 21 | 24 | 23 | 0 | 42 | 22 | 5 | 51 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 47 | 29 | 37 | 18 | 34 | 17 | 58.3% | 11.8% | 88.1% | 99.9 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 39 | 11 | 13 | 15 | 0 | 32 | 15 | 9 | 20 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 22 | 13 | 21 | 8 | 16 | 7 | 50.0% | 5.1% | 90.6% | 95.8 | Unlucky | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 33 | 12 | 6 | 15 | 0 | 38 | 13 | 18 | 24 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 21 | 11 | 21 | 9 | 17 | 7 | 66.7% | 9.1% | 97.4% | 106.5 | LUCKY | |
18 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.167 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 1 | 91 | 29 | 35 | 24 | 6 | 95 | 32 | 14 | 60 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 67 | 41 | 64 | 26 | 53 | 25 | 44.4% | 4.4% | 92.6% | 97.0 | DULL | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 14 | 23 | 0 | 0 | 3 | 4 | 2 | 0 | 69 | 32 | 18 | 19 | 0 | 52 | 22 | 12 | 40 | 5 | 1 | 20.00% | 6 | 3 | 50.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 45 | 28 | 39 | 17 | 34 | 17 | 72.7% | 13.0% | 88.5% | 101.5 | FUN | |
20 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 3 | 0.500 | 4 | 7 | 11 | 1 | 0 | 1 | 2 | 1 | 0 | 102 | 30 | 41 | 31 | 0 | 101 | 45 | 2 | 59 | 8 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 69 | 42 | 60 | 24 | 49 | 25 | 40.0% | 3.9% | 94.1% | 98.0 | DULL | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 30 | 15 | 8 | 7 | 0 | 22 | 13 | 4 | 27 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 21 | 11 | 19 | 8 | 18 | 9 | 75.0% | 13.3% | 90.9% | 104.2 | FUN | |
22 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 3 | 3 | 3 | 1 | 112 | 34 | 46 | 30 | 2 | 100 | 39 | 24 | 55 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 1 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 69 | 43 | 59 | 24 | 51 | 26 | 60.0% | 8.9% | 92.0% | 100.9 | Unlucky | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 12 | 10 | 14 | 0 | 29 | 8 | 4 | 18 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 19 | 10 | 22 | 9 | 17 | 9 | 40.0% | 5.6% | 89.7% | 95.2 | Unlucky | |
24 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 60 | 20 | 23 | 17 | 0 | 62 | 28 | 8 | 44 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 44 | 26 | 42 | 17 | 33 | 16 | 22.2% | 3.3% | 88.7% | 92.0 | Unlucky | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 1 | 3 | 0 | 67 | 27 | 19 | 21 | 0 | 57 | 16 | 21 | 51 | 5 | 1 | 20.00% | 8 | 0 | 100.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 42 | 24 | 41 | 18 | 35 | 17 | 66.7% | 10.4% | 94.7% | 105.2 | LUCKY | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 1 | 4 | 0 | 52 | 19 | 15 | 18 | 0 | 60 | 22 | 52 | 57 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 42 | 24 | 43 | 18 | 34 | 15 | 50.0% | 9.6% | 90.0% | 99.6 | FUN | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 12 | 12 | 6 | 0 | 26 | 11 | 9 | 22 | 1 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 23 | 14 | 19 | 8 | 17 | 8 | 33.3% | 3.3% | 80.8% | 84.1 | Unlucky | |
28 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 7 | 12 | 0 | 1 | 0 | 3 | 2 | 0 | 62 | 24 | 21 | 17 | 0 | 51 | 14 | 8 | 42 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 43 | 24 | 38 | 19 | 37 | 19 | 83.3% | 8.1% | 98.0% | 106.1 | DULL | |
_Vs Division | 15 | 6 | 6 | 0 | 1 | 1 | 0 | 1 | 34 | 34 | 0 | 16 | 0.533 | 34 | 57 | 91 | 1 | 1 | 8 | 14 | 11 | 2 | 526 | 175 | 195 | 151 | 8 | 468 | 171 | 77 | 290 | 29 | 2 | 6.90% | 31 | 8 | 74.19% | 3 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 341 | 207 | 306 | 128 | 257 | 130 | 55.2% | 6.5% | 92.7% | 99.2 | DULL | |
_Vs Conference | 27 | 9 | 13 | 0 | 1 | 1 | 0 | 3 | 63 | 75 | -12 | 24 | 0.444 | 63 | 106 | 169 | 1 | 1 | 20 | 19 | 23 | 2 | 912 | 313 | 314 | 273 | 21 | 841 | 311 | 187 | 590 | 49 | 8 | 16.33% | 63 | 21 | 66.67% | 3 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 604 | 367 | 563 | 235 | 468 | 231 | 50.5% | 6.9% | 91.1% | 98.0 | Unlucky | |
_Since Last GM Reset | 50 | 18 | 24 | 0 | 1 | 2 | 2 | 3 | 130 | 137 | -7 | 47 | 0.470 | 130 | 211 | 341 | 2 | 1 | 36 | 43 | 48 | 6 | 1671 | 583 | 536 | 539 | 32 | 1491 | 557 | 357 | 1103 | 113 | 18 | 15.93% | 124 | 33 | 73.39% | 5 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 1128 | 676 | 1024 | 442 | 875 | 435 | 51.9% | 7.8% | 90.8% | 98.6 | Unlucky | |
Total | 50 | 18 | 24 | 0 | 1 | 2 | 2 | 3 | 130 | 137 | -7 | 47 | 0.470 | 130 | 211 | 341 | 2 | 1 | 36 | 43 | 48 | 6 | 1671 | 583 | 536 | 539 | 32 | 1491 | 557 | 357 | 1103 | 113 | 18 | 15.93% | 124 | 33 | 73.39% | 5 | 566 | 1074 | 52.70% | 537 | 1049 | 51.19% | 352 | 689 | 51.09% | 1128 | 676 | 1024 | 442 | 875 | 435 | 51.9% | 7.8% | 90.8% | 98.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1074 |
Neutral Zone Start | 689 |
Defensive Zone Start | 1049 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1455 |
Faceoffs Lost | 1357 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.7 | 9.57 |
2nd Period | 22.4 | 20.31 |
3rd Period | 33.2 | 30.68 |
Overtime | 33.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 105 |
---|---|
PP Goal | 18 |
PK Goal | 5 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 9 | 12 |
Lost | 13 | 11 |
Overtime Lost | 2 | 3 |
PP Attempt | 113 |
---|---|
PP Goal | 18 |
PK Attempt | 124 |
PK Goal Against | 33 |
Home | |
---|---|
Shots For | 33.4 |
Shots Against | 29.8 |
Goals For | 2.6 |
Goals Against | 2.7 |
Hits | 22.1 |
Shots Blocked | 11.1 |
Pim | 7.1 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2022-09-24 | @ | Canucks1,Oilers2 (OT) | RECAP | ||
2022-09-27 | @ | Canucks3,Flyers1 | RECAP | ||
2022-09-28 | @ | Canucks1,Capitals2 | RECAP | ||
2022-09-29 | @ | Canucks1,Blue Jackets4 | RECAP | ||
2022-10-01 | @ | Canucks3,Wild1 | RECAP | ||
2022-10-03 | @ | Sabres1,Canucks6 | RECAP | ||
2022-10-05 | @ | Hurricanes3,Canucks4 (SO) | RECAP | ||
2022-10-08 | @ | Canucks1,Kraken2 (SO) | RECAP | ||
2022-10-09 | @ | Penguins6,Canucks4 | RECAP | ||
2022-10-13 | @ | Devils3,Canucks1 | RECAP | ||
2022-10-15 | @ | Ducks1,Canucks5 | RECAP | ||
2022-10-17 | @ | Predators3,Canucks6 | RECAP | ||
2022-10-20 | @ | Canucks4,Senators2 | RECAP | ||
2022-10-21 | @ | Canucks4,Canadiens2 | RECAP | ||
2022-10-24 | @ | Canucks3,Maple Leafs2 | RECAP | ||
2022-10-25 | @ | Canucks2,Bruins3 | RECAP | ||
2022-10-27 | @ | Canucks2,Sabres4 | RECAP | ||
2022-10-30 | @ | Kings3,Canucks2 | RECAP | ||
2022-11-02 | @ | Golden Knights1,Canucks3 | RECAP | ||
2022-11-04 | @ | Canucks2,Avalanche3 | RECAP | ||
2022-11-07 | @ | Canucks2,Golden Knights0 | RECAP | ||
2022-11-08 | @ | Canucks4,Sharks2 | RECAP | ||
2022-11-10 | @ | Capitals1,Canucks5 | RECAP | ||
2022-11-12 | @ | Panthers1,Canucks2 | RECAP | ||
2022-11-14 | @ | Coyotes3,Canucks2 (SO) | RECAP | ||
2022-11-16 | @ | Canadiens4,Canucks2 | RECAP | ||
2022-11-18 | @ | Canucks2,Sharks3 | RECAP | ||
2022-11-21 | @ | Wild5,Canucks2 | RECAP | ||
2022-11-25 | @ | Canucks3,Flames1 | RECAP | ||
2022-11-28 | @ | Jets2,Canucks1 | RECAP | ||
2022-11-30 | @ | Blues5,Canucks1 | RECAP | ||
2022-12-03 | @ | Kraken2,Canucks1 | RECAP | ||
2022-12-04 | @ | Canucks1,Oilers3 | RECAP | ||
2022-12-08 | @ | Sharks3,Canucks4 (OT) | RECAP | ||
2022-12-10 | @ | Canucks2,Jets6 | RECAP | ||
2022-12-12 | @ | Canucks1,Flames7 | RECAP | ||
2022-12-15 | @ | Islanders3,Canucks2 | RECAP | ||
2022-12-17 | @ | Avalanche4,Canucks1 | RECAP | ||
2022-12-20 | @ | Canucks3,Jets1 | RECAP | ||
2022-12-22 | @ | Canucks2,Penguins3 (OT) | RECAP | ||
2022-12-24 | @ | Canucks7,Lightning3 | RECAP | ||
2022-12-26 | @ | Canucks5,Panthers2 | RECAP | ||
2022-12-27 | @ | Canucks3,Hurricanes2 (SO) | RECAP | ||
2022-12-30 | @ | Lightning3,Canucks2 | RECAP | ||
2023-01-01 | @ | Avalanche4,Canucks3 (SO) | RECAP | ||
2023-01-02 | @ | Oilers1,Canucks2 | RECAP | ||
2023-01-05 | @ | Blackhawks4,Canucks3 | RECAP | ||
2023-01-06 | @ | Canucks2,Kraken3 | RECAP | ||
2023-01-08 | @ | Blue Jackets3,Canucks1 | RECAP | ||
2023-01-17 | @ | Canucks1,Devils4 | RECAP | ||
2023-01-19 | @ | ||||
2023-01-20 | @ | ||||
2023-01-22 | @ | ||||
2023-01-24 | @ | ||||
2023-01-26 | @ | ||||
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2023-02-07 | @ | ||||
2023-02-10 | @ | ||||
2023-02-12 | @ | ||||
2023-02-14 | @ | ||||
2023-02-16 | @ | ||||
2023-02-19 | @ | ||||
2023-02-22 | @ | ||||
2023-02-24 | @ | ||||
2023-02-26 | @ | ||||
2023-02-27 | @ | ||||
2023-02-28 | @ | ||||
2023-03-02 | @ | ||||
2023-03-04 | @ | ||||
2023-03-05 | @ | ||||
2023-03-07 | @ | ||||
2023-03-10 | @ | ||||
2023-03-12 | @ | ||||
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2023-03-20 | @ | ||||
2023-03-21 | @ | ||||
2023-03-23 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
71,485,000$ | 0$ | 71,485,000$ | 10,015,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Rogers Arena | |
City | Vancouver | ||
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$ | 66$ | 36$ | 20$ | 200$ |
Attendance | 138221 | 89104 | 45718 | 92255 | 22939 |
Attendance PCT | 95.99% | 74.25% | 95.25% | 96.10% | 95.58% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 16177 - 89.87% | 590,361$ | 14,168,675$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
71,485,000$ | 71,485,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
47,925,000$ | 71,485,000$ | 46,620,600$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,036,145$ | 64 | 399,375$ | 25,560,000$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
26,131,077$ | 71,485,000$ | -554,181,882$ | -570,276,814$ |
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 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo van 2023 | |||||
Aidan Hreschuk | 2021 | 79 | |||
Alec Dillon | |||||
Alexander Campbell | 2019 | 79 | |||
Alexander Dergachyov | |||||
Alexander Khokhlachev | |||||
Alexis Gendron | 2022 | 219 | |||
Andreas Englund | Link | ||||
Arturs Kulda | |||||
Ben Brinkman | 2019 | 156 | |||
Bogdan Yakimov | |||||
Brent Johnson | 2021 | 78 | |||
Brett Berard | 2020 | 123 | |||
Casey Bailey | |||||
Cole Guttman | 2017 | 166 | |||
Connor Hall | |||||
Curtis Douglas | 2018 | 93 | |||
Daniil Gushchin | 2020 | 61 | |||
Danila Yurov | 2022 | 27 | |||
David Tendeck | 2018 | 184 | |||
Dennis Gilbert | Link | ||||
Dennis Hildeby | 2022 | 91 | |||
Devan Dubnyk | Link | ||||
Dmitriy Zaitsev | |||||
Eric Florchuk | 2018 | 215 | |||
Eric Staal | Link | ||||
Evan Barratt | 2017 | 76 | |||
Fedor Svechkov | 2021 | 15 | |||
Gabriel Gagné | |||||
Gabriel Paquin-Boudreau | |||||
Giovanni Vallati | 2018 | 153 | |||
Gleb Trikozov | 2022 | 59 | |||
Jake Dotchin | Link | ||||
Jalen Luypen | 2021 | 207 | |||
Jamie Arniel | |||||
Jan Kostalek | |||||
Jan Mursak | |||||
Jay O'Brien | 2018 | 29 | |||
Jesse Gabriel | |||||
Joey Laleggia | |||||
John Dahlstrom | |||||
Joonas Lyytinen | |||||
Josh Ess | 2017 | 202 | |||
Kelly Summers | |||||
Kevin Roy | Link | ||||
Kirill Gerasimyuk | 2021 | 111 | |||
Kirill Kudryavtsev | 2022 | 187 | |||
Kirill Slepets | 2019 | 141 | |||
Kristopher Foucault | |||||
Kyle Wood | |||||
Linus Oberg | 2020 | 207 | |||
Logan Hutsko | 2018 | 91 | |||
Marcus Hogberg | Link | ||||
Marko Dano | Link | ||||
Matt Carey | |||||
Matthew Knies | 2021 | 47 | |||
Matthew Phillips | |||||
Michael Mersch | |||||
Michal Neuvirth | Link | ||||
Mikael Wikstrand | |||||
Mikhail Berdin | |||||
Milos Roman | 2018 | 122 | |||
Nathan Gerbe | Link | ||||
Niklas Hansson | |||||
Otto Salin | 2022 | 123 | |||
Patrik Virta | 2017 | 196 | |||
Peter Cehlarik | Link | ||||
Raman Hrabarenka | |||||
Reid Boucher | Link | ||||
Rhett Pitlick | 2019 | 110 | |||
Rich Clune | |||||
Ryan Culkin | |||||
Ryan Murphy | Link | ||||
Sami Vatanen | Link | ||||
Sean Walker | Link | ||||
Servac Petrovsky | 2022 | 155 | |||
Simon Knak | 2021 | 143 | |||
T.J. Tynan | Link | ||||
Tarmo Reunanen | Link | ||||
Vasily Glotov | |||||
Veeti Miettinen | 2020 | 145 | |||
Viktor Persson | 2020 | 176 | |||
Zachary Leslie | |||||
Zakhar Bardakov | 2021 | 175 | |||
greg mauldin |
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