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Full Scoreboard »» |
Vancouver Canucks 10-12-1, 21pts · 10th 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 | C | 100.00 | 61 | 41 | 91 | 82 | 66 | 72 | 92 | 69 | 55 | 66 | 80 | 69 | 25 | 55 | 55 | 75 | 50 | 0 | 19 | 894,167$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 88 | 58 | 84 | 84 | 67 | 68 | 73 | 58 | 29 | 68 | 72 | 83 | 75 | 69 | 71 | 74 | 50 | 0 | 30 | 3,500,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 43 | 93 | 81 | 69 | 55 | 64 | 59 | 50 | 60 | 62 | 64 | 53 | 68 | 68 | 64 | 50 | 0 | 25 | 4,750,000$/3yrs | |||
![]() | 0 | C | 100.00 | 59 | 52 | 77 | 80 | 75 | 77 | 79 | 83 | 99 | 75 | 79 | 76 | 48 | 88 | 95 | 77 | 50 | 0 | 34 | 10,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 99 | 47 | 82 | 77 | 76 | 62 | 71 | 61 | 30 | 61 | 62 | 80 | 45 | 85 | 89 | 69 | 50 | 0 | 34 | 1,750,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 43 | 89 | 81 | 70 | 73 | 97 | 64 | 59 | 76 | 72 | 80 | 25 | 63 | 64 | 75 | 50 | 0 | 24 | 1,500,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 90 | 78 | 79 | 78 | 76 | 63 | 79 | 69 | 57 | 72 | 70 | 71 | 25 | 86 | 89 | 72 | 50 | 0 | 34 | 3,800,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 63 | 42 | 81 | 81 | 75 | 76 | 63 | 88 | 95 | 81 | 75 | 78 | 72 | 74 | 74 | 77 | 50 | 0 | 27 | 6,375,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 43 | 90 | 79 | 75 | 58 | 86 | 63 | 31 | 60 | 66 | 64 | 54 | 81 | 84 | 67 | 50 | 0 | 33 | 3,100,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 43 | 92 | 78 | 68 | 76 | 84 | 78 | 53 | 79 | 84 | 73 | 51 | 77 | 82 | 80 | 50 | 0 | 31 | 5,000,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 65 | 42 | 89 | 70 | 70 | 74 | 95 | 77 | 82 | 68 | 71 | 75 | 25 | 65 | 65 | 73 | 50 | 0 | 29 | 1,750,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 96 | 80 | 81 | 62 | 70 | 57 | 82 | 59 | 38 | 55 | 55 | 84 | 25 | 56 | 56 | 65 | 50 | 0 | 23 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 94 | 84 | 64 | 77 | 66 | 85 | 25 | 69 | 51 | 65 | 25 | 61 | 61 | 66 | 50 | 0 | 22 | 2,600,000$/3yrs | |||
![]() | 0 | D | 100.00 | 87 | 99 | 65 | 63 | 85 | 69 | 77 | 57 | 25 | 43 | 48 | 93 | 25 | 64 | 65 | 62 | 50 | 0 | 28 | 1,275,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 42 | 87 | 67 | 67 | 76 | 58 | 63 | 25 | 54 | 48 | 81 | 25 | 53 | 53 | 62 | 50 | 0 | 22 | 842,500$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 56 | 84 | 83 | 67 | 70 | 72 | 59 | 25 | 51 | 48 | 85 | 25 | 68 | 69 | 63 | 50 | 0 | 28 | 1,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 55 | 82 | 82 | 85 | 75 | 84 | 59 | 25 | 52 | 48 | 77 | 25 | 64 | 65 | 63 | 50 | 0 | 23 | 2,294,150$/3yrs | |||
![]() | 0 | D | 100.00 | 93 | 61 | 78 | 72 | 78 | 78 | 83 | 61 | 25 | 48 | 48 | 95 | 25 | 59 | 59 | 65 | 50 | 0 | 24 | 809,166$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 74 | 78 | 65 | 77 | 78 | 59 | 60 | 61 | 50 | 54 | 56 | 72 | 53 | 77 | 81 | 61 | 50 | 0 | 31 | 762,500$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 54 | 86 | 81 | 67 | 63 | 93 | 67 | 47 | 67 | 59 | 69 | 25 | 73 | 74 | 67 | 50 | 0 | 29 | 2,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 42 | 84 | 67 | 68 | 57 | 87 | 65 | 32 | 59 | 66 | 69 | 25 | 62 | 63 | 67 | 50 | 0 | 25 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 42 | 89 | 63 | 64 | 62 | 65 | 60 | 25 | 47 | 47 | 74 | 25 | 45 | 45 | 58 | 50 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 43 | 87 | 73 | 72 | 59 | 53 | 66 | 25 | 39 | 56 | 67 | 25 | 54 | 54 | 61 | 50 | 0 | 25 | 762,500$/2yrs | |||
TEAM AVERAGE | 100.00 | 76 | 53 | 84 | 76 | 72 | 68 | 77 | 67 | 44 | 61 | 62 | 76 | 36 | 67 | 69 | 68 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 68 | 81 | 77 | 81 | 72 | 64 | 83 | 68 | 65 | 68 | 75 | 56 | 56 | 71 | 50 | 0 | 26 | 2,725,000$/3yrs |
![]() | 0 | 100.00 | 61 | 54 | 55 | 90 | 65 | 56 | 71 | 62 | 65 | 61 | 75 | 60 | 60 | 62 | 50 | 0 | 26 | 2,800,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 65 | 68 | 66 | 86 | 69 | 60 | 77 | 65 | 65 | 65 | 75 | 58 | 58 | 67 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 80 | 81 | 77 | 71 | 81 | 73 | 76 | 61 | 76 | 55 | 62 | 67 | 59 | 46 | 46 | 65 | 57 | 0 | 24 | 800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 58 | 92 | 78 | 71 | 62 | 90 | 62 | 39 | 58 | 59 | 61 | 25 | 58 | 58 | 64 | 57 | 0 | 21 | 925,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 43 | 92 | 72 | 75 | 59 | 88 | 65 | 38 | 65 | 58 | 69 | 25 | 55 | 55 | 65 | 57 | 0 | 21 | 789,167$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 96 | 57 | 91 | 63 | 69 | 63 | 78 | 58 | 40 | 59 | 75 | 63 | 45 | 51 | 51 | 70 | 57 | 0 | 22 | 760,000$/2yrs | |||
![]() | 0 | C | 100.00 | 70 | 65 | 82 | 70 | 65 | 57 | 58 | 57 | 71 | 52 | 57 | 60 | 54 | 44 | 44 | 60 | 57 | 0 | 23 | 883,750$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 83 | 45 | 94 | 82 | 71 | 62 | 89 | 60 | 31 | 61 | 66 | 75 | 25 | 52 | 53 | 70 | 57 | 0 | 23 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 68 | 85 | 66 | 68 | 71 | 76 | 54 | 50 | 47 | 57 | 61 | 54 | 44 | 44 | 60 | 57 | 0 | 19 | 894,167$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 43 | 95 | 80 | 64 | 62 | 64 | 60 | 34 | 60 | 60 | 75 | 25 | 55 | 55 | 66 | 57 | 0 | 22 | 762,500$/2yrs | |||
![]() | 0 | LW | 100.00 | 77 | 42 | 99 | 74 | 58 | 58 | 51 | 68 | 56 | 65 | 64 | 70 | 25 | 46 | 46 | 68 | 57 | 0 | 21 | 796,667$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 75 | 73 | 78 | 75 | 65 | 69 | 53 | 25 | 50 | 42 | 61 | 40 | 44 | 44 | 56 | 57 | 0 | 19 | 894,167$/3yrs | |||
![]() | 0 | D | 100.00 | 70 | 64 | 84 | 84 | 64 | 70 | 73 | 59 | 25 | 50 | 51 | 64 | 48 | 58 | 58 | 61 | 57 | 0 | 22 | 863,333$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Dany Renaud |
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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 | Sean Monahan | 0 | C/LW/RW | 23 | 9 | 17 | 26 | -9 | 16 | 0 | 43 | 106 | 32 | 53 | 8.49% | 6 | 19.44 | 6 | 7 | 13 | 55 | 0 | 0 | 0 | 0 | 2 | 0 | 60.53% | 114 | 18 | 18 | 0 | 0 | 1.16 | 0 | 0 | ||
2 | Reilly Smith | 0 | LW/RW | 23 | 10 | 13 | 23 | -10 | 2 | 0 | 33 | 86 | 31 | 56 | 11.63% | 15 | 19.42 | 3 | 9 | 12 | 55 | 0 | 0 | 0 | 0 | 3 | 0 | 33.33% | 36 | 17 | 9 | 0 | 0 | 1.03 | 0 | 0 | ||
3 | Adam Boqvist | 0 | D | 23 | 4 | 12 | 16 | 3 | 0 | 0 | 11 | 33 | 13 | 14 | 12.12% | 18 | 18.47 | 2 | 1 | 3 | 64 | 0 | 0 | 0 | 69 | 1 | 0 | 0.00% | 0 | 9 | 9 | 0 | 0 | 0.75 | 0 | 0 | ||
4 | Jonathan Toews | 0 | C | 23 | 9 | 6 | 15 | -6 | 12 | 0 | 23 | 77 | 25 | 51 | 11.69% | 12 | 18.37 | 3 | 0 | 3 | 45 | 0 | 0 | 0 | 60 | 2 | 0 | 58.33% | 348 | 12 | 7 | 0 | 0 | 0.71 | 0 | 0 | ||
5 | Eetu Luostarinen | 0 | C/LW | 23 | 3 | 8 | 11 | -7 | 6 | 0 | 28 | 60 | 26 | 37 | 5.00% | 7 | 16.32 | 0 | 3 | 3 | 45 | 0 | 0 | 0 | 20 | 1 | 0 | 38.46% | 13 | 14 | 6 | 0 | 0 | 0.59 | 0 | 0 | ||
6 | Colin White | 0 | C/RW | 23 | 5 | 5 | 10 | 0 | 0 | 0 | 15 | 53 | 13 | 19 | 9.43% | 8 | 12.97 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 25 | 0 | 1 | 57.14% | 21 | 14 | 7 | 0 | 0 | 0.67 | 0 | 0 | ||
7 | Nick Foligno | 0 | C/LW/RW | 23 | 6 | 4 | 10 | 2 | 8 | 0 | 21 | 30 | 11 | 20 | 20.00% | 6 | 8.72 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 25.00% | 4 | 14 | 3 | 1 | 0 | 1.00 | 0 | 0 | ||
8 | Travis Boyd | 0 | C/RW | 23 | 6 | 4 | 10 | -1 | 7 | 5 | 23 | 66 | 18 | 31 | 9.09% | 17 | 12.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 49.23% | 130 | 3 | 7 | 0 | 0 | 0.69 | 0 | 0 | ||
9 | Wyatt Johnston | 0 | C | 23 | 6 | 3 | 9 | -10 | 2 | 0 | 25 | 38 | 13 | 25 | 15.79% | 11 | 19.90 | 2 | 2 | 4 | 55 | 0 | 0 | 0 | 10 | 1 | 0 | 41.84% | 564 | 8 | 11 | 0 | 0 | 0.39 | 0 | 0 | ||
10 | Jordan Harris | 0 | D | 23 | 0 | 8 | 8 | -10 | 29 | 5 | 28 | 23 | 7 | 7 | 0.00% | 41 | 20.12 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 3 | 16 | 0 | 0 | 0.35 | 0 | 0 | ||
11 | Simon Benoit | 0 | D | 23 | 0 | 8 | 8 | -3 | 20 | 0 | 42 | 21 | 12 | 10 | 0.00% | 18 | 18.37 | 0 | 2 | 2 | 62 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 1 | 20 | 0 | 0 | 0.38 | 0 | 0 | ||
12 | Joshua Brown | 0 | D | 23 | 3 | 2 | 5 | -16 | 79 | 35 | 55 | 32 | 11 | 8 | 9.38% | 36 | 23.21 | 0 | 0 | 0 | 36 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 1 | 19 | 0 | 0 | 0.19 | 0 | 0 | ||
13 | Craig Smith | 0 | C/RW | 23 | 1 | 4 | 5 | 0 | 5 | 5 | 8 | 21 | 8 | 13 | 4.76% | 3 | 7.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18.18% | 55 | 7 | 4 | 0 | 0 | 0.55 | 0 | 0 | ||
14 | Troy Stecher | 0 | D | 23 | 0 | 3 | 3 | -1 | 6 | 0 | 24 | 20 | 17 | 8 | 0.00% | 20 | 17.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 2 | 9 | 0 | 0 | 0.15 | 0 | 0 | ||
15 | Brandon Tanev | 0 | LW/RW | 23 | 0 | 2 | 2 | -8 | 2 | 0 | 37 | 38 | 16 | 12 | 0.00% | 12 | 18.35 | 0 | 0 | 0 | 45 | 0 | 0 | 0 | 63 | 0 | 0 | 11.11% | 27 | 13 | 7 | 0 | 0 | 0.09 | 0 | 0 | ||
16 | Cal Clutterbuck | 0 | RW | 23 | 2 | 0 | 2 | 2 | 8 | 0 | 21 | 20 | 6 | 13 | 10.00% | 3 | 9.75 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 3 | 2 | 4 | 0 | 0 | 0.18 | 0 | 0 | ||
17 | Nicolas Hague | 0 | D | 23 | 1 | 1 | 2 | -5 | 6 | 0 | 21 | 23 | 6 | 14 | 4.35% | 27 | 22.66 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 7 | 17 | 0 | 0 | 0.08 | 0 | 0 | ||
18 | Parker Kelly | 0 | C/LW | 23 | 0 | 2 | 2 | -1 | 2 | 0 | 38 | 8 | 5 | 10 | 0.00% | 8 | 11.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 2 | 7 | 0 | 0 | 0.15 | 0 | 0 | ||
Team Total or Average | 414 | 65 | 102 | 167 | -80 | 210 | 50 | 496 | 755 | 270 | 401 | 8.61% | 268 | 16.39 | 16 | 24 | 40 | 519 | 0 | 0 | 0 | 473 | 10 | 1 | 46.78% | 1321 | 147 | 180 | 1 | 0 | 0.49 | 0 | 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 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 | Karel Vejmelka | 18 | 8 | 9 | 1 | 0.902 | 3.46 | 954 | 0 | 0 | 55 | 562 | 319 | 0 | 0 | 0.000 | 0 | 18 | 5 | 2 | 1 | 2 | |
2 | Mackenzie Blackwood | 9 | 2 | 3 | 0 | 0.877 | 3.82 | 424 | 0 | 0 | 27 | 220 | 121 | 0 | 1 | 0.000 | 0 | 5 | 18 | 0 | 1 | 0 | |
Team Total or Average | 27 | 10 | 12 | 1 | 0.895 | 3.57 | 1379 | 0 | 0 | 82 | 782 | 440 | 0 | 1 | 0.000 | 0 | 23 | 23 | 2 | 2 | 2 |
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 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 30 | 9 | 15 | 6 | 0 | 38 | 12 | 10 | 21 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 19 | 11 | 23 | 9 | 16 | 7 | 25.0% | 6.7% | 86.8% | 93.5 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 39 | 14 | 14 | 11 | 0 | 32 | 15 | 4 | 24 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 18 | 10 | 23 | 9 | 17 | 9 | 66.7% | 7.7% | 96.9% | 104.6 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 0 | 3 | 0 | 0 | 24 | 5 | 12 | 7 | 0 | 32 | 12 | 12 | 18 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 20 | 10 | 21 | 8 | 18 | 8 | 60.0% | 12.5% | 84.4% | 96.9 | FUN | |
4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 29 | 8 | 16 | 5 | 0 | 35 | 15 | 4 | 27 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 18 | 9 | 23 | 9 | 18 | 9 | 33.3% | 3.4% | 94.3% | 97.7 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 10 | 8 | 6 | 0 | 39 | 13 | 8 | 30 | 3 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 19 | 10 | 23 | 10 | 17 | 8 | 12.5% | 4.2% | 76.9% | 81.1 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 6 | 12 | 16 | 0 | 37 | 8 | 4 | 16 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 19 | 10 | 23 | 8 | 17 | 8 | 20.0% | 2.9% | 89.2% | 92.1 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 38 | 14 | 14 | 10 | 0 | 42 | 13 | 8 | 21 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 20 | 12 | 22 | 8 | 16 | 8 | 66.7% | 10.5% | 95.2% | 105.8 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 35 | 14 | 14 | 7 | 0 | 27 | 14 | 11 | 15 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 19 | 10 | 21 | 9 | 18 | 9 | 100.0% | 14.3% | 96.3% | 110.6 | LUCKY | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 7 | 14 | 11 | 0 | 28 | 6 | 4 | 15 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 22 | 13 | 20 | 9 | 16 | 8 | 0.0% | 3.1% | 92.9% | 96.0 | DULL | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 2 | 1 | 0 | 73 | 27 | 24 | 22 | 0 | 75 | 21 | 17 | 45 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 43 | 25 | 43 | 16 | 33 | 16 | 35.7% | 8.2% | 85.3% | 93.6 | Unlucky | |
11 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 6 | 1.000 | 13 | 20 | 33 | 0 | 0 | 5 | 4 | 4 | 0 | 99 | 36 | 30 | 33 | 0 | 105 | 29 | 32 | 68 | 12 | 6 | 50.00% | 12 | 3 | 75.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 62 | 34 | 64 | 27 | 52 | 25 | 63.6% | 13.1% | 93.3% | 106.5 | LUCKY | |
12 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 12 | -2 | 4 | 0.667 | 10 | 12 | 22 | 0 | 0 | 1 | 6 | 2 | 1 | 110 | 32 | 39 | 38 | 1 | 103 | 42 | 21 | 60 | 9 | 1 | 11.11% | 8 | 1 | 87.50% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 63 | 35 | 64 | 27 | 52 | 26 | 45.0% | 9.1% | 88.3% | 97.4 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 5 | 21 | 7 | 0 | 33 | 14 | 9 | 22 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 19 | 10 | 22 | 9 | 18 | 9 | 50.0% | 6.1% | 90.9% | 97.0 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 30 | 2 | 20 | 8 | 0 | 16 | 11 | 10 | 18 | 7 | 1 | 14.29% | 0 | 0 | 0.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 21 | 10 | 18 | 9 | 20 | 11 | 60.0% | 13.3% | 87.5% | 100.8 | FUN | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 9 | 11 | 13 | 0 | 39 | 9 | 2 | 21 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 17 | 9 | 24 | 9 | 17 | 7 | 33.3% | 3.0% | 94.9% | 97.9 | DULL | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 21 | 5 | 11 | 5 | 0 | 30 | 15 | 38 | 18 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 17 | 9 | 23 | 9 | 18 | 8 | 16.7% | 9.5% | 80.0% | 89.5 | FUN | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 3 | 1 | 2 | 0 | 71 | 29 | 18 | 24 | 0 | 72 | 19 | 16 | 57 | 4 | 1 | 25.00% | 8 | 2 | 75.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 40 | 21 | 44 | 17 | 35 | 18 | 41.7% | 8.5% | 87.5% | 96.0 | Unlucky | |
_Vs Division | 10 | 4 | 5 | 0 | 1 | 0 | 0 | 0 | 33 | 39 | -6 | 10 | 0.500 | 33 | 49 | 82 | 0 | 0 | 9 | 15 | 8 | 1 | 331 | 111 | 113 | 106 | 1 | 348 | 117 | 117 | 224 | 30 | 10 | 33.33% | 37 | 9 | 75.68% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 203 | 113 | 221 | 91 | 176 | 86 | 43.4% | 10.0% | 88.8% | 98.8 | FUN | |
_Vs Conference | 15 | 6 | 8 | 0 | 1 | 0 | 0 | 0 | 45 | 63 | -18 | 14 | 0.467 | 45 | 69 | 114 | 0 | 0 | 14 | 19 | 11 | 1 | 498 | 169 | 173 | 155 | 1 | 532 | 170 | 154 | 335 | 42 | 12 | 28.57% | 53 | 13 | 75.47% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 309 | 174 | 330 | 135 | 261 | 126 | 39.8% | 9.0% | 88.2% | 97.2 | FUN | |
_Since Last GM Reset | 23 | 9 | 12 | 0 | 1 | 1 | 0 | 0 | 65 | 83 | -18 | 21 | 0.457 | 65 | 102 | 167 | 1 | 0 | 15 | 33 | 16 | 1 | 755 | 232 | 293 | 229 | 1 | 783 | 268 | 210 | 496 | 67 | 16 | 23.88% | 71 | 18 | 74.65% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 463 | 255 | 509 | 209 | 407 | 200 | 43.0% | 8.6% | 89.4% | 98.0 | Unlucky | |
Total | 23 | 9 | 12 | 0 | 1 | 1 | 0 | 0 | 65 | 83 | -18 | 21 | 0.457 | 65 | 102 | 167 | 1 | 0 | 15 | 33 | 16 | 1 | 755 | 232 | 293 | 229 | 1 | 783 | 268 | 210 | 496 | 67 | 16 | 23.88% | 71 | 18 | 74.65% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 463 | 255 | 509 | 209 | 407 | 200 | 43.0% | 8.6% | 89.4% | 98.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 499 |
Neutral Zone Start | 352 |
Defensive Zone Start | 467 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 618 |
Faceoffs Lost | 700 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 32.8 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 48 |
---|---|
PP Goal | 16 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 7 |
Lost | 7 | 5 |
Overtime Lost | 0 | 1 |
PP Attempt | 67 |
---|---|
PP Goal | 16 |
PK Attempt | 71 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 32.8 |
Shots Against | 34.0 |
Goals For | 2.8 |
Goals Against | 3.6 |
Hits | 21.6 |
Shots Blocked | 11.7 |
Pim | 9.1 |
Projected Total Cap Hit | 63,902,483$ |
Projected Cap Space | 18,597,517$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 16,641,250$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Canucks Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist ![]() | D | 22 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | |||||
Brandon Tanev ![]() | LW/RW | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Cal Clutterbuck ![]() | RW | 34 | 1,750,000$ | 1,750,000$ | 1,750,000$ | ||||||
Colin White ![]() | C/RW | 25 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Craig Smith ![]() | C/RW | 33 | 3,100,000$ | 3,100,000$ | |||||||
Eetu Luostarinen ![]() | C/LW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Jansen Harkins ![]() | C/LW | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Jonathan Toews ![]() | C | 34 | 10,500,000$ | 10,500,000$ | |||||||
Jordan Harris ![]() | D | 22 | 842,500$ | 842,500$ | |||||||
Joshua Brown ![]() | D | 28 | 1,275,000$ | 1,275,000$ | 1,275,000$ | ||||||
Karel Vejmelka ![]() | G | 26 | 2,725,000$ | 2,725,000$ | 2,725,000$ | 2,725,000$ | |||||
Kyle Capobianco ![]() | D | 25 | 762,500$ | 762,500$ | 762,500$ | ||||||
Kyle Clifford ![]() | LW | 31 | 762,500$ | 762,500$ | 762,500$ | ||||||
Mackenzie Blackwood ![]() | G | 26 | 2,800,000$ | 2,800,000$ | |||||||
Nick Foligno ![]() | C/LW/RW | 34 | 3,800,000$ | 3,800,000$ | |||||||
Nicolas Hague ![]() | D | 23 | 2,294,150$ | 2,294,150$ | 2,294,150$ | 2,294,150$ | |||||
Parker Kelly ![]() | C/LW | 23 | 762,500$ | 762,500$ | 762,500$ | ||||||
Parker Wotherspoon ![]() | D | 25 | 750,000$ | 750,000$ | |||||||
Reilly Smith ![]() | LW/RW | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Sean Monahan ![]() | C/LW/RW | 27 | 6,375,000$ | 6,375,000$ | |||||||
Simon Benoit ![]() | D | 24 | 809,166$ | 809,166$ | |||||||
Travis Boyd ![]() | C/RW | 29 | 1,750,000$ | 1,750,000$ | 1,750,000$ | ||||||
Troy Stecher ![]() | D | 28 | 1,250,000$ | 1,250,000$ | |||||||
Vladislav Namestnikov ![]() | C/LW/RW | 29 | 2,500,000$ | 2,500,000$ | |||||||
Wyatt Johnston ![]() | C | 19 | 894,167$ | 894,167$ | 894,167$ | 894,167$ |
Forward Lines | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 30 | 9 | 15 | 6 | 0 | 38 | 12 | 10 | 21 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 19 | 11 | 23 | 9 | 16 | 7 | 25.0% | 6.7% | 86.8% | 93.5 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 39 | 14 | 14 | 11 | 0 | 32 | 15 | 4 | 24 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 18 | 10 | 23 | 9 | 17 | 9 | 66.7% | 7.7% | 96.9% | 104.6 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 0 | 3 | 0 | 0 | 24 | 5 | 12 | 7 | 0 | 32 | 12 | 12 | 18 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 20 | 10 | 21 | 8 | 18 | 8 | 60.0% | 12.5% | 84.4% | 96.9 | FUN | |
4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 29 | 8 | 16 | 5 | 0 | 35 | 15 | 4 | 27 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 18 | 9 | 23 | 9 | 18 | 9 | 33.3% | 3.4% | 94.3% | 97.7 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 10 | 8 | 6 | 0 | 39 | 13 | 8 | 30 | 3 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 19 | 10 | 23 | 10 | 17 | 8 | 12.5% | 4.2% | 76.9% | 81.1 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 6 | 12 | 16 | 0 | 37 | 8 | 4 | 16 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 19 | 10 | 23 | 8 | 17 | 8 | 20.0% | 2.9% | 89.2% | 92.1 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 38 | 14 | 14 | 10 | 0 | 42 | 13 | 8 | 21 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 20 | 12 | 22 | 8 | 16 | 8 | 66.7% | 10.5% | 95.2% | 105.8 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 35 | 14 | 14 | 7 | 0 | 27 | 14 | 11 | 15 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 19 | 10 | 21 | 9 | 18 | 9 | 100.0% | 14.3% | 96.3% | 110.6 | LUCKY | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 7 | 14 | 11 | 0 | 28 | 6 | 4 | 15 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 22 | 13 | 20 | 9 | 16 | 8 | 0.0% | 3.1% | 92.9% | 96.0 | DULL | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 2 | 1 | 0 | 73 | 27 | 24 | 22 | 0 | 75 | 21 | 17 | 45 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 43 | 25 | 43 | 16 | 33 | 16 | 35.7% | 8.2% | 85.3% | 93.6 | Unlucky | |
11 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 6 | 1.000 | 13 | 20 | 33 | 0 | 0 | 5 | 4 | 4 | 0 | 99 | 36 | 30 | 33 | 0 | 105 | 29 | 32 | 68 | 12 | 6 | 50.00% | 12 | 3 | 75.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 62 | 34 | 64 | 27 | 52 | 25 | 63.6% | 13.1% | 93.3% | 106.5 | LUCKY | |
12 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 12 | -2 | 4 | 0.667 | 10 | 12 | 22 | 0 | 0 | 1 | 6 | 2 | 1 | 110 | 32 | 39 | 38 | 1 | 103 | 42 | 21 | 60 | 9 | 1 | 11.11% | 8 | 1 | 87.50% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 63 | 35 | 64 | 27 | 52 | 26 | 45.0% | 9.1% | 88.3% | 97.4 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 5 | 21 | 7 | 0 | 33 | 14 | 9 | 22 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 19 | 10 | 22 | 9 | 18 | 9 | 50.0% | 6.1% | 90.9% | 97.0 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 30 | 2 | 20 | 8 | 0 | 16 | 11 | 10 | 18 | 7 | 1 | 14.29% | 0 | 0 | 0.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 21 | 10 | 18 | 9 | 20 | 11 | 60.0% | 13.3% | 87.5% | 100.8 | FUN | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 9 | 11 | 13 | 0 | 39 | 9 | 2 | 21 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 17 | 9 | 24 | 9 | 17 | 7 | 33.3% | 3.0% | 94.9% | 97.9 | DULL | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 21 | 5 | 11 | 5 | 0 | 30 | 15 | 38 | 18 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 17 | 9 | 23 | 9 | 18 | 8 | 16.7% | 9.5% | 80.0% | 89.5 | FUN | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 3 | 1 | 2 | 0 | 71 | 29 | 18 | 24 | 0 | 72 | 19 | 16 | 57 | 4 | 1 | 25.00% | 8 | 2 | 75.00% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 40 | 21 | 44 | 17 | 35 | 18 | 41.7% | 8.5% | 87.5% | 96.0 | Unlucky | |
_Vs Division | 10 | 4 | 5 | 0 | 1 | 0 | 0 | 0 | 33 | 39 | -6 | 10 | 0.500 | 33 | 49 | 82 | 0 | 0 | 9 | 15 | 8 | 1 | 331 | 111 | 113 | 106 | 1 | 348 | 117 | 117 | 224 | 30 | 10 | 33.33% | 37 | 9 | 75.68% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 203 | 113 | 221 | 91 | 176 | 86 | 43.4% | 10.0% | 88.8% | 98.8 | FUN | |
_Vs Conference | 15 | 6 | 8 | 0 | 1 | 0 | 0 | 0 | 45 | 63 | -18 | 14 | 0.467 | 45 | 69 | 114 | 0 | 0 | 14 | 19 | 11 | 1 | 498 | 169 | 173 | 155 | 1 | 532 | 170 | 154 | 335 | 42 | 12 | 28.57% | 53 | 13 | 75.47% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 309 | 174 | 330 | 135 | 261 | 126 | 39.8% | 9.0% | 88.2% | 97.2 | FUN | |
_Since Last GM Reset | 23 | 9 | 12 | 0 | 1 | 1 | 0 | 0 | 65 | 83 | -18 | 21 | 0.457 | 65 | 102 | 167 | 1 | 0 | 15 | 33 | 16 | 1 | 755 | 232 | 293 | 229 | 1 | 783 | 268 | 210 | 496 | 67 | 16 | 23.88% | 71 | 18 | 74.65% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 463 | 255 | 509 | 209 | 407 | 200 | 43.0% | 8.6% | 89.4% | 98.0 | Unlucky | |
Total | 23 | 9 | 12 | 0 | 1 | 1 | 0 | 0 | 65 | 83 | -18 | 21 | 0.457 | 65 | 102 | 167 | 1 | 0 | 15 | 33 | 16 | 1 | 755 | 232 | 293 | 229 | 1 | 783 | 268 | 210 | 496 | 67 | 16 | 23.88% | 71 | 18 | 74.65% | 0 | 233 | 499 | 46.69% | 231 | 467 | 49.46% | 154 | 352 | 43.75% | 463 | 255 | 509 | 209 | 407 | 200 | 43.0% | 8.6% | 89.4% | 98.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 499 |
Neutral Zone Start | 352 |
Defensive Zone Start | 467 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 618 |
Faceoffs Lost | 700 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 32.8 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 48 |
---|---|
PP Goal | 16 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 7 |
Lost | 7 | 5 |
Overtime Lost | 0 | 1 |
PP Attempt | 67 |
---|---|
PP Goal | 16 |
PK Attempt | 71 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 32.8 |
Shots Against | 34.0 |
Goals For | 2.8 |
Goals Against | 3.6 |
Hits | 21.6 |
Shots Blocked | 11.7 |
Pim | 9.1 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-07 | @ | Oilers2,Canucks5 | RECAP | ||
2023-10-10 | @ | Canucks5,Oilers4 | RECAP | ||
2023-10-13 | @ | Canucks1,Flyers2 (OT) | RECAP | ||
2023-10-15 | @ | Canucks1,Lightning4 | RECAP | ||
2023-10-17 | @ | Canucks4,Panthers2 | RECAP | ||
2023-10-20 | @ | Canucks2,Predators8 | RECAP | ||
2023-10-23 | @ | Blues9,Canucks1 | RECAP | ||
2023-10-24 | @ | Rangers3,Canucks2 | RECAP | ||
2023-10-27 | @ | Predators3,Canucks4 | RECAP | ||
2023-10-29 | @ | Canucks4,Sharks3 (OT) | RECAP | ||
2023-10-31 | @ | Stars2,Canucks1 | RECAP | ||
2023-11-02 | @ | Oilers1,Canucks3 | RECAP | ||
2023-11-05 | @ | Canucks1,Senators2 | RECAP | ||
2023-11-07 | @ | Canucks5,Maple Leafs1 | RECAP | ||
2023-11-08 | @ | Canucks3,Canadiens1 | RECAP | ||
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2023-11-18 | @ | Canucks4,Avalanche2 | RECAP | ||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
63,902,483$ | 0$ | 63,902,483$ | 18,597,517$ |
Arena | Goal Horn | About us | |
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![]() | 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$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 56079 | 46767 | 18728 | 36777 | 9666 |
Attendance PCT | 93.47% | 93.53% | 93.64% | 91.94% | 96.66% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
31 | 16802 - 93.34% | 608,023$ | 6,080,232$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
63,902,483$ | 63,902,483$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
16,641,250$ | 63,902,483$ | 16,641,250$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
18,848,719$ | 142 | 332,825$ | 47,261,150$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
52,845,502$ | 63,902,483$ | -487,676,220$ | -521,673,003$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2024 | |||||||
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2026 | |||||||
2027 | |||||||
2028 |
Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo van 2023 | |||||
Adam Werner | |||||
Alex Cotton | 2020 | 134 | |||
Anthony Angello | Link | ||||
Blake Biondi | 2020 | 83 | |||
Brandon Svoboda | 2023 | 75 | |||
Brent Johnson | 2021 | 94 | |||
C.J. Smith | Link | ||||
Carey Price | Link | ||||
Carey Terrance | 2023 | 66 | |||
Carter Hutton | Link | ||||
Chase Cheslock | 2023 | 163 | |||
Christopher Pelosi | 2023 | 94 | |||
Connor Bedard | 2023 | 1 | |||
Curtis Douglas | |||||
Cutter Gauthier | 2022 | 5 | |||
Dmitri Zlodeyev | 2020 | 176 | |||
Dylan Mackinnon | 2023 | 67 | |||
Eetu Tuulola | |||||
Garret Sparks | Link | ||||
Ilya Nikolaev | 2019 | 95 | |||
Ivan Morosov | |||||
Jack LaFontaine | Link | ||||
James Greenway | |||||
Jared Moe | |||||
Joey Willis | 2023 | 125 | |||
Jonathan Castagna | 2023 | 88 | |||
Joseph Labate | |||||
Keith Yandle | Link | ||||
Kyle Aucoin | 2020 | 158 | |||
Logan Cooley | 2022 | 3 | |||
Ludvig Jansson | 2022 | 137 | |||
Luke Reid | 2020 | 165 | |||
Martin Misiak | 2023 | 74 | |||
Mason Primeau | 2019 | 151 | |||
Matvey Guskov | 2019 | 157 | |||
Michael Hrabal | 2023 | 24 | |||
Nikita Korostelev | |||||
Noah Beck | 2020 | 196 | |||
P.K. Subban | Link | ||||
Petteri Nurmi | 2022 | 201 | |||
Pontus Aberg | |||||
Quentin Miller | 2023 | 61 | |||
Ryan Mast | 2021 | 190 | |||
Ryan Merkley | 2018 | 19 | Link | ||
Sam Rinzel | 2022 | 32 | |||
Samuel Savoie | 2022 | 73 | |||
Sergey Murashov | 2022 | 131 | |||
Seth Helgeson | |||||
Ty Ronning | |||||
Tyler Ennis | Link | ||||
Tyler Nanne | |||||
Vadim Moroz | 2023 | 108 | |||
Vittorio Mancini | 2022 | 169 | |||
Wyatt Kalynuk | Link | ||||
Zayde Wisdom | 2020 | 106 |
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