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Vancouver Canucks 12-5-0, 24pts · 4th in Western |
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 | 98.00 | 63 | 35 | 87 | 82 | 85 | 86 | 89 | 81 | 83 | 78 | 86 | 74 | 84 | 79 | 86 | 0 | 87 | 90 | 31 | 6,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 32 | 83 | 82 | 75 | 87 | 88 | 80 | 77 | 82 | 85 | 63 | 82 | 80 | 78 | 0 | 86 | 89 | 32 | 8,000,000$/4yrs | |||
![]() | 0 | RW | 98.00 | 71 | 34 | 90 | 80 | 88 | 83 | 88 | 81 | 58 | 84 | 81 | 66 | 81 | 78 | 89 | 0 | 90 | 89 | 31 | 7,500,000$/7yrs | |||
![]() | 0 | LW | 99.00 | 59 | 34 | 84 | 83 | 75 | 84 | 90 | 81 | 73 | 81 | 84 | 62 | 83 | 78 | 76 | 0 | 84 | 88 | 31 | 3,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 33 | 88 | 77 | 75 | 80 | 80 | 76 | 60 | 77 | 81 | 62 | 78 | 72 | 71 | 0 | 80 | 85 | 27 | 3,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 65 | 33 | 84 | 73 | 82 | 82 | 87 | 75 | 60 | 79 | 76 | 63 | 75 | 78 | 77 | 0 | 89 | 84 | 31 | 6,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 32 | 89 | 66 | 75 | 82 | 90 | 71 | 59 | 70 | 74 | 83 | 72 | 91 | 90 | 0 | 77 | 84 | 38 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 33 | 89 | 70 | 76 | 86 | 90 | 71 | 85 | 75 | 69 | 84 | 70 | 74 | 72 | 0 | 89 | 83 | 28 | 2,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 82 | 32 | 91 | 65 | 72 | 77 | 84 | 66 | 60 | 68 | 68 | 91 | 67 | 73 | 72 | 0 | 85 | 82 | 28 | 1,200,000$/1yrs | |||
![]() | 0 | C | 100.00 | 73 | 33 | 81 | 64 | 81 | 81 | 90 | 67 | 85 | 70 | 69 | 79 | 68 | 83 | 81 | 0 | 89 | 81 | 34 | 3,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 66 | 50 | 66 | 66 | 84 | 76 | 90 | 71 | 60 | 71 | 72 | 61 | 71 | 89 | 86 | 0 | 88 | 80 | 38 | 800,000$/1yrs | |||
![]() | 88 | LW/RW | 100.00 | 80 | 33 | 91 | 61 | 84 | 72 | 75 | 61 | 59 | 64 | 62 | 78 | 62 | 74 | 73 | 0 | 81 | 77 | 29 | 1,000,000$/1yrs | |||
![]() | 0 | D | 99.00 | 68 | 34 | 86 | 72 | 86 | 96 | 89 | 78 | 30 | 81 | 72 | 94 | 75 | 82 | 99 | 0 | 87 | 92 | 33 | 9,000,000$/6yrs | |||
![]() | 0 | D | 99.00 | 64 | 34 | 82 | 79 | 93 | 97 | 90 | 77 | 30 | 83 | 73 | 90 | 75 | 91 | 89 | 0 | 89 | 92 | 38 | 8,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 89 | 50 | 68 | 70 | 82 | 92 | 90 | 73 | 30 | 75 | 68 | 91 | 71 | 75 | 83 | 0 | 90 | 89 | 29 | 8,000,000$/4yrs | |||
![]() | 0 | D | 99.00 | 61 | 33 | 89 | 77 | 79 | 93 | 86 | 73 | 30 | 83 | 72 | 75 | 73 | 72 | 71 | 0 | 89 | 86 | 27 | 5,200,000$/3yrs | |||
![]() | 0 | D | 100.00 | 68 | 36 | 75 | 62 | 79 | 89 | 89 | 71 | 30 | 75 | 65 | 84 | 68 | 93 | 90 | 0 | 87 | 85 | 39 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 34 | 94 | 60 | 85 | 86 | 87 | 68 | 30 | 70 | 62 | 84 | 65 | 86 | 86 | 0 | 86 | 83 | 36 | 1,300,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.56 | 69 | 35 | 84 | 72 | 81 | 85 | 87 | 73 | 56 | 76 | 73 | 77 | 73 | 80 | 82 | 0 | 86 | 86 |
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 | 85 | 95 | 84 | 87 | 91 | 88 | 91 | 95 | 91 | 95 | 91 | 81 | 86 | 0 | 76 | 93 | 33 | 5,250,000$/3yrs |
![]() | 0 | 100.00 | 88 | 79 | 74 | 83 | 84 | 80 | 86 | 86 | 84 | 86 | 86 | 77 | 81 | 0 | 78 | 86 | 30 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 67 | 60 | 68 | 82 | 70 | 76 | 73 | 67 | 76 | 71 | 72 | 81 | 85 | 0 | 73 | 76 | 33 | 750,000$/1yrs |
TEAM AVERAGE | 99.33 | 80 | 78 | 75 | 84 | 82 | 81 | 83 | 83 | 84 | 84 | 83 | 80 | 84 | 0 | 76 | 85 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jon Cooper | 89 | 83 | 95 | 71 | 82 | 77 | 83 | CAN | 53 | 2 | 1,000,000$ |
General Manager | Frank Delisle |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matt Duchene | 0 | C/LW/RW | 17 | 4 | 13 | 17 | 3 | 4 | 0 | 14 | 59 | 19 | 38 | 6.78% | 0 | 17.38 | 3 | 4 | 7 | 46 | 0 | 0 | 0 | 0 | 1 | 0 | 49.47% | 376 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 | |
2 | Brent Burns | 0 | D | 17 | 4 | 12 | 16 | 7 | 8 | 0 | 19 | 36 | 8 | 33 | 11.11% | 21 | 22.37 | 2 | 2 | 4 | 58 | 0 | 0 | 0 | 40 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | |
3 | Vladimir Tarasenko | 0 | RW | 17 | 7 | 8 | 15 | 2 | 6 | 0 | 37 | 33 | 14 | 40 | 21.21% | 0 | 21.15 | 0 | 5 | 5 | 48 | 0 | 0 | 0 | 13 | 2 | 0 | 28.57% | 21 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
4 | Alex Wennberg | 0 | C | 17 | 3 | 8 | 11 | 10 | 2 | 0 | 9 | 28 | 7 | 24 | 10.71% | 2 | 15.25 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 62 | 0 | 1 | 49.25% | 335 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
5 | Shea Theodore | 0 | D | 17 | 1 | 9 | 10 | 0 | 14 | 0 | 14 | 31 | 10 | 24 | 3.23% | 18 | 23.35 | 1 | 4 | 5 | 57 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
6 | Brock Nelson | 0 | C | 17 | 4 | 5 | 9 | -1 | 2 | 0 | 18 | 49 | 16 | 42 | 8.16% | 3 | 19.73 | 2 | 0 | 2 | 42 | 0 | 0 | 0 | 1 | 1 | 1 | 56.57% | 426 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
7 | Jeff Skinner | 0 | LW | 17 | 2 | 7 | 9 | 0 | 2 | 0 | 17 | 55 | 10 | 22 | 3.64% | 1 | 20.02 | 0 | 4 | 4 | 49 | 0 | 0 | 0 | 0 | 1 | 1 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
8 | Zach Parise | 0 | LW/RW | 17 | 4 | 5 | 9 | 9 | 17 | 5 | 10 | 19 | 11 | 17 | 21.05% | 5 | 12.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 1 | 0 | 57.14% | 14 | 0 | 0 | 1 | 0 | 0.86 | 0 | 0 | |
9 | Alex Pietrangelo | 0 | D | 17 | 3 | 5 | 8 | -2 | 24 | 0 | 33 | 40 | 14 | 22 | 7.50% | 22 | 22.60 | 2 | 0 | 2 | 43 | 0 | 0 | 0 | 34 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
10 | Anthony Duclair | 0 | LW/RW | 17 | 4 | 3 | 7 | 1 | 4 | 0 | 13 | 34 | 8 | 26 | 11.76% | 5 | 17.21 | 0 | 1 | 1 | 57 | 0 | 0 | 0 | 4 | 0 | 0 | 40.00% | 30 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
11 | Jacob Trouba | 0 | D | 17 | 2 | 5 | 7 | 4 | 20 | 0 | 42 | 16 | 9 | 11 | 12.50% | 25 | 18.61 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 49 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
12 | Corey Perry | 0 | RW | 17 | 2 | 4 | 6 | 10 | 8 | 0 | 12 | 12 | 1 | 12 | 16.67% | 0 | 11.35 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 54.55% | 11 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
13 | Mark Giordano | 0 | D | 17 | 3 | 3 | 6 | 5 | 10 | 0 | 22 | 23 | 7 | 8 | 13.04% | 23 | 18.66 | 1 | 1 | 2 | 42 | 0 | 0 | 0 | 0 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
14 | Taylor Hall | 0 | LW | 17 | 5 | 1 | 6 | 2 | 2 | 0 | 27 | 32 | 6 | 18 | 15.63% | 0 | 17.13 | 1 | 1 | 2 | 56 | 0 | 0 | 0 | 0 | 1 | 0 | 35.00% | 20 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
15 | Nick Holden | 0 | D | 17 | 0 | 5 | 5 | 4 | 2 | 0 | 8 | 6 | 1 | 9 | 0.00% | 17 | 18.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
16 | Tyler Motte | 0 | C/LW/RW | 17 | 2 | 0 | 2 | -3 | 6 | 0 | 10 | 16 | 6 | 19 | 12.50% | 5 | 10.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0 | 1 | 31.25% | 16 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
17 | Saku Maenalanen | 88 | LW/RW | 17 | 0 | 1 | 1 | -3 | 2 | 0 | 10 | 2 | 3 | 8 | 0.00% | 1 | 7.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
18 | Lars Eller | 0 | C | 17 | 0 | 1 | 1 | -3 | 2 | 0 | 9 | 14 | 2 | 15 | 0.00% | 1 | 9.53 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 28 | 0 | 0 | 51.79% | 195 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
Team Total or Average | 306 | 50 | 95 | 145 | 45 | 135 | 5 | 324 | 505 | 152 | 388 | 9.90% | 149 | 16.80 | 12 | 23 | 35 | 527 | 0 | 0 | 0 | 388 | 12 | 6 | 50.75% | 1462 | 0 | 0 | 1 | 0 | 0.56 | 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 | Jacob Markstrom | 16 | 11 | 3 | 1 | 0.924 | 2.28 | 949 | 2 | 0 | 36 | 472 | 0 | 1 | 0 | 0.000 | 0 | 16 | 1 | 2 | 2 | 1 | |
2 | Kevin Poulin | 1 | 1 | 0 | 0 | 1.000 | 0.00 | 41 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 0.000 | 0 | 0 | 15 | 0 | 0 | 0 | |
3 | Scott Wedgewood | 1 | 0 | 1 | 0 | 0.909 | 3.10 | 58 | 0 | 0 | 3 | 33 | 0 | 0 | 0 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 | |
Team Total or Average | 18 | 12 | 4 | 1 | 0.926 | 2.23 | 1048 | 2 | 0 | 39 | 524 | 0 | 1 | 0 | 0.000 | 0 | 17 | 17 | 2 | 2 | 1 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 18 |
LTIR Players | 4 |
Canucks Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Pietrangelo | D | 33 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |
Alex Wennberg | C | 28 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Anthony Duclair | LW/RW | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Brent Burns | D | 38 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Brock Nelson ![]() | C | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Corey Perry ![]() | RW | 38 | 800,000$ | 800,000$ | UFA | ||||||
Jacob Markstrom ![]() | G | 33 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Jacob Trouba | D | 29 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Jeff Skinner | LW | 31 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Kevin Poulin ![]() ![]() | G | 33 | 750,000$ | 750,000$ | UFA | ||||||
Lars Eller | C | 34 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Mark Giordano ![]() | D | 39 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Matt Duchene | C/LW/RW | 32 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Nick Holden | D | 36 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Saku Maenalanen ![]() | LW/RW | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Scott Wedgewood ![]() ![]() | G | 30 | 750,000$ | 750,000$ | UFA | ||||||
Shea Theodore | D | 27 | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | UFA | ||||
Taylor Hall | LW | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Tyler Motte ![]() | C/LW/RW | 28 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Vladimir Tarasenko | RW | 31 | 7,500,000$ | 7,500,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA |
Zach Parise ![]() | LW/RW | 38 | 750,000$ | 750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Barre-Boulet ![]() | C/LW/RW | 26 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Alex Peters ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Alexandre Texier ![]() | C/LW | 23 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Anthony Bitetto ![]() | D | 32 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Anthony Louis ![]() | C/LW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Bobby Nardella ![]() | D | 27 | 750,000$ | 750,000$ | ![]() | ||||||
C.J. Smith ![]() | LW/RW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Chase Priskie ![]() | D | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Cole Koepke ![]() | LW/RW | 25 | 842,500$ | 842,500$ | ![]() | ||||||
Cooper Zech ![]() | D | 24 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
Cédric Desruisseaux ![]() ![]() | C | 23 | 850,000$ | 850,000$ | RFA | ||||||
Danick Martel ![]() | LW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Dennis Cesana ![]() | D | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Dylan Coghlan ![]() | D | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Fedor Gordeev ![]() | D | 24 | 800,000$ | 800,000$ | RFA | ||||||
Filip Berglund ![]() | D | 26 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Grant Gabriele ![]() | D | 26 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Grant Hutton ![]() | D | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Joe Snively ![]() ![]() | LW | 27 | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | |||||
Joseph Cecconi ![]() | D | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Julian Napravnik ![]() | RW | 26 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Justin Brazeau ![]() | RW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Lukas Vejdemo ![]() | C/RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Luke Johnson ![]() | C | 28 | 750,000$ | 750,000$ | UFA | ||||||
Matt Alfaro ![]() | C | 27 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Michael Joyaux ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Michael McCarron ![]() ![]() | LW/RW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Mikey Eyssimont ![]() | LW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Olli Juolevi ![]() | D | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Pat Nagle ![]() ![]() | G | 35 | 750,000$ | 750,000$ | UFA | ||||||
Paul LaDue ![]() | D | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Ryan Chyzowski ![]() | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Tanner Kaspick ![]() | C | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Travis Barron ![]() | LW | 24 | 800,000$ | 800,000$ | RFA | ||||||
Victor Brattstrom ![]() | G | 26 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Yevgeni Oksentyuk ![]() | LW/RW | 22 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Yushiroh Hirano ![]() | RW | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Zachary Fucale ![]() | G | 28 | 800,000$ | 800,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 10 | 6 | 8 | 0.800 | 16 | 31 | 47 | 0 | 0 | 6 | 5 | 5 | 0 | 138 | 41 | 55 | 33 | 9 | 161 | 39 | 53 | 94 | 20 | 4 | 20.00% | 18 | 4 | 77.78% | 0 | 312 | 583 | 53.52% | 301 | 618 | 48.71% | 129 | 261 | 49.43% | 129 | 90 | 121 | 35 | 63 | 32 | 66.7% | 11.6% | 93.8% | 105.4 | LUCKY | |
2 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 17 | 2 | 8 | 0.667 | 19 | 38 | 57 | 0 | 0 | 6 | 5 | 6 | 2 | 188 | 69 | 56 | 57 | 6 | 182 | 52 | 46 | 122 | 21 | 4 | 19.05% | 21 | 5 | 76.19% | 0 | 312 | 583 | 53.52% | 301 | 618 | 48.71% | 129 | 261 | 49.43% | 147 | 103 | 145 | 44 | 75 | 37 | 55.6% | 10.1% | 90.7% | 100.8 | FUN | |
3 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 12 | 3 | 8 | 0.667 | 15 | 26 | 41 | 0 | 0 | 6 | 4 | 3 | 2 | 179 | 49 | 71 | 50 | 9 | 181 | 58 | 38 | 108 | 20 | 4 | 20.00% | 17 | 1 | 94.12% | 0 | 312 | 583 | 53.52% | 301 | 618 | 48.71% | 129 | 261 | 49.43% | 142 | 99 | 147 | 43 | 78 | 38 | 50.0% | 8.4% | 93.4% | 101.8 | DULL | |
_Vs Division | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 31 | 22 | 9 | 16 | 0.727 | 31 | 57 | 88 | 0 | 0 | 12 | 9 | 8 | 2 | 317 | 90 | 126 | 83 | 18 | 342 | 97 | 91 | 202 | 40 | 8 | 20.00% | 35 | 5 | 85.71% | 0 | 312 | 583 | 53.52% | 301 | 618 | 48.71% | 129 | 261 | 49.43% | 272 | 189 | 268 | 79 | 141 | 71 | 57.5% | 9.8% | 93.6% | 103.3 | LUCKY | |
_Vs Conference | 17 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 50 | 39 | 11 | 24 | 0.706 | 50 | 95 | 145 | 0 | 0 | 18 | 14 | 14 | 4 | 505 | 159 | 182 | 140 | 24 | 524 | 149 | 137 | 324 | 61 | 12 | 19.67% | 56 | 10 | 82.14% | 0 | 312 | 583 | 53.52% | 301 | 618 | 48.71% | 129 | 261 | 49.43% | 419 | 293 | 414 | 124 | 217 | 109 | 56.7% | 9.9% | 92.6% | 102.5 | LUCKY | |
_Since Last GM Reset | 17 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 50 | 39 | 11 | 24 | 0.706 | 50 | 95 | 145 | 0 | 0 | 18 | 14 | 14 | 4 | 505 | 159 | 182 | 140 | 24 | 524 | 149 | 137 | 324 | 61 | 12 | 19.67% | 56 | 10 | 82.14% | 0 | 312 | 583 | 53.52% | 301 | 618 | 48.71% | 129 | 261 | 49.43% | 419 | 293 | 414 | 124 | 217 | 109 | 56.7% | 9.9% | 92.6% | 102.5 | LUCKY | |
Total | 17 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 50 | 39 | 11 | 24 | 0.706 | 50 | 95 | 145 | 0 | 0 | 18 | 14 | 14 | 4 | 505 | 159 | 182 | 140 | 24 | 524 | 149 | 137 | 324 | 61 | 12 | 19.67% | 56 | 10 | 82.14% | 0 | 312 | 583 | 53.52% | 301 | 618 | 48.71% | 129 | 261 | 49.43% | 419 | 293 | 414 | 124 | 217 | 109 | 56.7% | 9.9% | 92.6% | 102.5 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 583 |
Neutral Zone Start | 261 |
Defensive Zone Start | 618 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 742 |
Faceoffs Lost | 720 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 20.1 | 20.31 |
3rd Period | 28.3 | 30.68 |
Overtime | 29.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 38 |
---|---|
PP Goal | 12 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 6 |
Lost | 3 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 61 |
---|---|
PP Goal | 12 |
PK Attempt | 56 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 29.7 |
Shots Against | 30.8 |
Goals For | 2.9 |
Goals Against | 2.3 |
Hits | 19.1 |
Shots Blocked | 8.8 |
Pim | 8.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-04-19 | @ | Ducks1,Canucks3 | RECAP | |||||||||||
2023-04-21 | @ | Ducks2,Canucks1 | RECAP | |||||||||||
2023-04-23 | @ | Canucks2,Ducks1 | RECAP | |||||||||||
2023-04-25 | @ | Canucks1,Ducks2 | RECAP | |||||||||||
2023-04-27 | @ | Ducks4,Canucks5 (OT) | RECAP | |||||||||||
2023-04-29 | @ | Canucks3,Ducks2 (OT) | RECAP | |||||||||||
2023-05-03 | @ | Oilers5,Canucks4 (OT) | RECAP | |||||||||||
2023-05-05 | @ | Oilers2,Canucks3 | RECAP | |||||||||||
2023-05-07 | @ | Canucks3,Oilers1 | RECAP | |||||||||||
2023-05-09 | @ | Canucks4,Oilers1 | RECAP | |||||||||||
2023-05-11 | @ | Oilers1,Canucks2 | RECAP | |||||||||||
2023-05-17 | @ | Canucks3,Blackhawks2 (OT) | RECAP | |||||||||||
2023-05-19 | @ | Canucks4,Blackhawks2 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-05-21 | @ | Blackhawks3,Canucks4 | RECAP | |||||||||||
2023-05-23 | @ | Blackhawks4,Canucks2 | RECAP | |||||||||||
2023-05-25 | @ | Canucks2,Blackhawks3 | RECAP | |||||||||||
2023-05-27 | @ | Blackhawks3,Canucks4 (OT) | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,300,000$ | 0$ | 0$ | 200,000$ |
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$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 54000 | 45000 | 18000 | 36000 | 9000 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
32 | 18000 - 100.00% | 1,587,500$ | 14,287,500$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,300,000$ | 82,300,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 2 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 82,300,000$ | 46,213,003$ | 46,213,003$ |
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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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 |
---|---|---|---|---|---|
Albert Sjoberg | 2021 | 211 | |||
Ben Meehan | |||||
Brent Johnson | 2021 | 62 | |||
Brian Zanetti | 2021 | 134 | |||
Carter Gylander | 2019 | 202 | |||
Hank Kempf | 2021 | 209 | |||
John Fusco | |||||
Jonathan Myrenberg | 2021 | 154 | |||
Kyle Kukkonen | 2021 | 168 | |||
Liekit Reichle | 2021 | 222 | |||
Niclas Westerholm | 6.0 - 5.5 | ||||
Stiven Sardarian | 2021 | 115 |
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