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Full Scoreboard »» |
Vancouver Canucks 17-8-2, 36pts · 3rd 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 | 100.00 | 61 | 35 | 87 | 82 | 85 | 86 | 89 | 81 | 83 | 78 | 86 | 73 | 84 | 79 | 86 | 0 | 56 | 90 | 32 | 6,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 33 | 71 | 80 | 79 | 86 | 84 | 79 | 80 | 86 | 82 | 68 | 81 | 88 | 99 | 0 | 59 | 90 | 37 | 7,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 32 | 88 | 80 | 66 | 88 | 88 | 81 | 60 | 87 | 79 | 69 | 80 | 87 | 85 | 0 | 58 | 90 | 36 | 6,750,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 69 | 34 | 90 | 80 | 88 | 83 | 88 | 81 | 58 | 84 | 81 | 66 | 81 | 79 | 90 | 0 | 59 | 90 | 31 | 7,000,000$/6yrs | |||
![]() | 0 | LW | 100.00 | 58 | 34 | 84 | 82 | 75 | 84 | 90 | 81 | 73 | 81 | 84 | 62 | 83 | 78 | 77 | 0 | 59 | 88 | 31 | 7,000,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 63 | 33 | 84 | 73 | 82 | 82 | 87 | 75 | 60 | 79 | 76 | 62 | 75 | 79 | 77 | 0 | 59 | 84 | 32 | 6,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 33 | 89 | 70 | 76 | 86 | 90 | 71 | 85 | 75 | 69 | 83 | 70 | 74 | 73 | 0 | 59 | 83 | 29 | 4,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 33 | 92 | 73 | 81 | 81 | 87 | 73 | 60 | 72 | 76 | 71 | 75 | 66 | 65 | 0 | 59 | 82 | 24 | 1,450,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 32 | 91 | 65 | 72 | 77 | 84 | 66 | 60 | 68 | 68 | 90 | 67 | 73 | 72 | 0 | 59 | 82 | 28 | 1,400,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 65 | 50 | 66 | 66 | 84 | 76 | 90 | 71 | 60 | 71 | 72 | 61 | 71 | 90 | 86 | 0 | 59 | 80 | 38 | 1,500,000$/1yrs | |||
![]() | 88 | LW/RW | 100.00 | 77 | 33 | 91 | 61 | 84 | 72 | 75 | 61 | 59 | 64 | 62 | 77 | 62 | 74 | 73 | 0 | 59 | 77 | 29 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 94 | 74 | 50 | 59 | 85 | 73 | 90 | 63 | 58 | 62 | 64 | 75 | 64 | 80 | 75 | 0 | 59 | 77 | 32 | 1,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 34 | 82 | 79 | 93 | 97 | 90 | 76 | 30 | 83 | 73 | 87 | 74 | 91 | 89 | 0 | 40 | 92 | 38 | 8,000,000$/2yrs | |||
![]() | 0 | D | 98.00 | 80 | 36 | 77 | 64 | 92 | 92 | 89 | 70 | 30 | 70 | 66 | 89 | 68 | 80 | 84 | 0 | 59 | 86 | 32 | 4,750,000$/3yrs | |||
![]() | 0 | D | 98.00 | 59 | 33 | 89 | 77 | 79 | 93 | 86 | 73 | 30 | 83 | 72 | 73 | 73 | 73 | 71 | 0 | 59 | 86 | 28 | 5,200,000$/2yrs | |||
![]() | 0 | D | 100.00 | 83 | 42 | 81 | 60 | 87 | 88 | 89 | 71 | 30 | 70 | 58 | 90 | 65 | 80 | 78 | 0 | 41 | 85 | 32 | 2,850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 32 | 81 | 66 | 70 | 85 | 85 | 65 | 30 | 72 | 56 | 73 | 61 | 65 | 63 | 0 | 59 | 79 | 24 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 36 | 77 | 61 | 94 | 86 | 86 | 66 | 30 | 69 | 62 | 76 | 64 | 66 | 64 | 0 | 62 | 79 | 25 | 2,294,150$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 68 | 33 | 85 | 63 | 75 | 81 | 81 | 63 | 30 | 70 | 57 | 69 | 60 | 66 | 65 | 0 | 52 | 77 | 25 | 950,000$/2yrs | |||
TEAM AVERAGE | 99.79 | 69 | 37 | 82 | 71 | 81 | 84 | 87 | 72 | 53 | 75 | 71 | 74 | 71 | 77 | 77 | 0 | 57 | 84 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 85 | 95 | 84 | 87 | 91 | 88 | 91 | 95 | 91 | 95 | 91 | 81 | 86 | 0 | 60 | 93 | 33 | 5,250,000$/2yrs |
![]() | 0 | 97.00 | 88 | 79 | 74 | 83 | 84 | 80 | 86 | 86 | 84 | 86 | 86 | 77 | 81 | 0 | 61 | 87 | 31 | 1,500,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 87 | 87 | 79 | 85 | 88 | 84 | 89 | 91 | 88 | 91 | 89 | 79 | 84 | 0 | 61 | 90 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jon Cooper | 89 | 83 | 95 | 71 | 82 | 77 | 83 | CAN | 54 | 1 | 1,000,000$ |
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 | Evgeni Malkin | 0 | C | 27 | 13 | 15 | 28 | -1 | 10 | 0 | 45 | 83 | 27 | 60 | 15.66% | 2 | 20.55 | 4 | 5 | 9 | 86 | 0 | 0 | 0 | 30 | 4 | 0 | 53.74% | 696 | 0 | 0 | 0 | 1 | 1.01 | 0 | 1 | |
2 | Mats Zuccarello | 0 | LW/RW | 27 | 13 | 10 | 23 | -5 | 6 | 0 | 26 | 97 | 27 | 58 | 13.40% | 7 | 21.40 | 0 | 7 | 7 | 80 | 0 | 0 | 0 | 59 | 2 | 1 | 49.21% | 63 | 0 | 0 | 0 | 0 | 0.80 | 1 | 1 | |
3 | Brock Nelson | 0 | C | 27 | 8 | 14 | 22 | 0 | 9 | 5 | 21 | 95 | 29 | 75 | 8.42% | 8 | 19.51 | 3 | 3 | 6 | 84 | 0 | 0 | 0 | 41 | 1 | 1 | 52.89% | 641 | 0 | 0 | 1 | 0 | 0.84 | 0 | 2 | |
4 | Shea Theodore | 0 | D | 27 | 5 | 17 | 22 | -3 | 2 | 0 | 16 | 36 | 25 | 28 | 13.89% | 32 | 23.57 | 1 | 2 | 3 | 88 | 0 | 0 | 0 | 52 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
5 | Ben Chiarot | 0 | D | 27 | 2 | 17 | 19 | 8 | 28 | 0 | 69 | 39 | 9 | 23 | 5.13% | 46 | 24.07 | 1 | 3 | 4 | 84 | 0 | 0 | 0 | 57 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
6 | Vladimir Tarasenko | 0 | RW | 27 | 10 | 9 | 19 | -4 | 6 | 0 | 45 | 69 | 27 | 53 | 14.49% | 1 | 20.14 | 6 | 2 | 8 | 90 | 0 | 0 | 0 | 2 | 1 | 0 | 43.90% | 41 | 0 | 0 | 0 | 0 | 0.70 | 1 | 2 | |
7 | Brent Burns | 0 | D | 19 | 2 | 15 | 17 | -1 | 11 | 5 | 12 | 38 | 10 | 19 | 5.26% | 20 | 22.39 | 2 | 5 | 7 | 52 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | |
8 | Jeff Skinner | 0 | LW | 27 | 4 | 11 | 15 | 3 | 2 | 0 | 22 | 68 | 18 | 65 | 5.88% | 0 | 17.53 | 1 | 6 | 7 | 79 | 0 | 0 | 0 | 10 | 1 | 0 | 37.50% | 32 | 0 | 0 | 0 | 0 | 0.63 | 1 | 1 | |
9 | Brayden McNabb | 0 | D | 29 | 1 | 12 | 13 | -3 | 21 | 5 | 61 | 24 | 13 | 22 | 4.17% | 45 | 19.26 | 0 | 3 | 3 | 49 | 0 | 0 | 0 | 73 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
10 | Owen Tippett | 0 | LW/RW | 27 | 4 | 4 | 8 | 2 | 16 | 0 | 40 | 51 | 12 | 27 | 7.84% | 3 | 15.36 | 1 | 0 | 1 | 50 | 0 | 0 | 0 | 0 | 1 | 0 | 38.71% | 31 | 0 | 0 | 0 | 0 | 0.39 | 1 | 1 | |
11 | Tyler Motte | 0 | C/LW/RW | 27 | 2 | 6 | 8 | -2 | 0 | 0 | 12 | 36 | 17 | 43 | 5.56% | 1 | 10.17 | 0 | 1 | 1 | 30 | 0 | 0 | 0 | 24 | 0 | 0 | 38.31% | 248 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
12 | Alex Wennberg | 0 | C | 27 | 3 | 4 | 7 | -3 | 2 | 0 | 7 | 36 | 9 | 24 | 8.33% | 6 | 13.36 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 64 | 0 | 1 | 50.67% | 450 | 0 | 0 | 0 | 0 | 0.39 | 0 | 1 | |
13 | Taylor Hall | 0 | LW | 27 | 6 | 1 | 7 | 0 | 2 | 0 | 16 | 31 | 16 | 30 | 19.35% | 3 | 13.04 | 1 | 1 | 2 | 39 | 0 | 0 | 0 | 0 | 0 | 2 | 32.00% | 25 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
14 | Erik Brannstrom | 0 | D | 27 | 1 | 4 | 5 | -7 | 12 | 0 | 32 | 10 | 7 | 11 | 10.00% | 21 | 17.31 | 0 | 1 | 1 | 29 | 0 | 0 | 0 | 40 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
15 | Saku Maenalanen | 88 | LW/RW | 27 | 4 | 1 | 5 | -1 | 0 | 0 | 6 | 29 | 4 | 17 | 13.79% | 1 | 8.41 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 12 | 0 | 1 | 35.00% | 20 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
16 | Corey Perry | 0 | RW | 27 | 0 | 4 | 4 | -4 | 6 | 0 | 25 | 19 | 10 | 19 | 0.00% | 1 | 9.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.15% | 13 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
17 | Nicolas Deslauriers | 0 | LW/RW | 27 | 2 | 1 | 3 | -2 | 18 | 0 | 34 | 23 | 8 | 10 | 8.70% | 2 | 7.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 47.06% | 17 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
18 | Nicolas Hague | 0 | D | 27 | 0 | 2 | 2 | -8 | 33 | 5 | 43 | 15 | 3 | 4 | 0.00% | 22 | 14.45 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | |
19 | Gustav Lindstrom | 0 | D | 16 | 0 | 1 | 1 | 3 | 2 | 0 | 13 | 2 | 2 | 7 | 0.00% | 10 | 15.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | |
Team Total or Average | 496 | 80 | 148 | 228 | -28 | 186 | 20 | 545 | 801 | 273 | 595 | 9.99% | 231 | 16.46 | 20 | 39 | 59 | 865 | 0 | 0 | 0 | 523 | 16 | 6 | 49.98% | 2277 | 0 | 0 | 1 | 1 | 0.56 | 4 | 9 |
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 | 4 | 0 | 0.912 | 2.48 | 919 | 0 | 0 | 38 | 433 | 0 | 1 | 0 | 0.500 | 6 | 15 | 12 | 1 | 0 | 0 | |
2 | Scott Wedgewood | 13 | 6 | 4 | 2 | 0.878 | 3.20 | 713 | 0 | 0 | 38 | 311 | 0 | 0 | 0 | 0.667 | 3 | 12 | 15 | 1 | 0 | 0 | |
Team Total or Average | 29 | 17 | 8 | 2 | 0.898 | 2.79 | 1633 | 0 | 0 | 76 | 744 | 0 | 1 | 0 | 0.556 | 9 | 27 | 27 | 2 | 0 | 0 |
Projected Total Cap Hit | 83,513,910$ |
Projected Cap Space | -13,910$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 25,458,594$ |
Players In Salary Cap | 21 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Wennberg | C | 29 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Ben Chiarot | D | 32 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Brayden McNabb | D | 32 | 2,850,000$ | 2,850,000$ | 2,850,000$ | UFA | |||||
Brent Burns | D | 38 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Brock Nelson | C | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Corey Perry | RW | 38 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Erik Brannstrom | D | 24 | 2,500,000$ | 2,500,000$ | |||||||
Evgeni Malkin | C | 37 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Gustav Lindstrom ![]() | D | 25 | 950,000$ | 950,000$ | 950,000$ | ||||||
Jacob Markstrom | G | 33 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Jeff Skinner | LW | 31 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Mats Zuccarello | LW/RW | 36 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | ||||
Nicolas Deslauriers | LW/RW | 32 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||||
Nicolas Hague | D | 25 | 2,294,150$ | 2,294,150$ | 2,294,150$ | ||||||
Owen Tippett | LW/RW | 24 | 1,450,000$ | 1,450,000$ | |||||||
Saku Maenalanen ![]() | LW/RW | 29 | 800,000$ | 800,000$ | UFA | ||||||
Scott Wedgewood | G | 31 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Shea Theodore | D | 28 | 5,200,000$ | 5,200,000$ | 5,200,000$ | UFA | |||||
Taylor Hall | LW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Tyler Motte | C/LW/RW | 28 | 1,400,000$ | 1,400,000$ | UFA | ||||||
Vladimir Tarasenko | RW | 31 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Bitetto ![]() | D | 33 | 850,000$ | 850,000$ | UFA | ||||||
Bobby Nardella ![]() | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
Carsen Twarynski ![]() | LW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Chase Priskie ![]() | D | 27 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Clay Stevenson ![]() | G | 24 | 855,000$ | 855,000$ | 855,000$ | ![]() | |||||
Cole Koepke ![]() | LW/RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Cooper Zech ![]() | D | 24 | 875,000$ | 875,000$ | ![]() | ||||||
Dennis Cesana ![]() | D | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Dominic Toninato ![]() | C | 29 | 800,000$ | 800,000$ | UFA | ||||||
Dylan Coghlan ![]() | D | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Filip Berglund ![]() | D | 26 | 850,000$ | 850,000$ | UFA | ||||||
Grant Gabriele ![]() | D | 26 | 775,000$ | 775,000$ | UFA | ||||||
Grant Hutton ![]() | D | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jack Badini ![]() | C/LW | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Joe Snively ![]() | LW | 27 | 1,150,000$ | 1,150,000$ | UFA | ||||||
Jonah Gadjovich ![]() | LW | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Joseph Cecconi ![]() | D | 26 | 775,000$ | 775,000$ | UFA | ||||||
Julian Napravnik ![]() | RW | 26 | 850,000$ | 850,000$ | UFA | ||||||
Kurtis MacDermid ![]() | LW/D | 29 | 975,000$ | 975,000$ | UFA | ||||||
Lukas Vejdemo ![]() | C/RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
Matt Alfaro ![]() | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Michael McCarron ![]() | LW/RW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Mikey Eyssimont ![]() | LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Navrin Mutter ![]() | LW | 22 | 776,667$ | 776,667$ | 776,667$ | ![]() | |||||
Nolan Stevens ![]() | C/LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Olli Juolevi ![]() | D | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Oscar Dansk ![]() | G | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Rhett Gardner ![]() | C | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Victor Brattstrom ![]() | G | 26 | 900,000$ | 900,000$ | UFA | ||||||
Yevgeni Oksentyuk ![]() | LW/RW | 22 | 828,333$ | 828,333$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 9 | -5 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 57 | 15 | 20 | 19 | 3 | 67 | 15 | 8 | 35 | 3 | 2 | 66.67% | 4 | 1 | 75.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 48 | 34 | 49 | 14 | 24 | 11 | 20.0% | 7.0% | 86.6% | 93.6 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 41 | 17 | 11 | 13 | 0 | 31 | 6 | 8 | 20 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 23 | 16 | 24 | 7 | 12 | 6 | 50.0% | 7.3% | 93.5% | 100.9 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 30 | 9 | 4 | 15 | 5 | 33 | 6 | 8 | 19 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 26 | 18 | 24 | 8 | 14 | 7 | 0.0% | 3.3% | 93.9% | 97.3 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 35 | 13 | 7 | 15 | 0 | 19 | 10 | 8 | 16 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 23 | 16 | 23 | 7 | 12 | 5 | 57.1% | 11.4% | 84.2% | 95.6 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 30 | 12 | 11 | 7 | 0 | 21 | 9 | 9 | 21 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 25 | 17 | 21 | 7 | 13 | 7 | 71.4% | 16.7% | 85.7% | 102.4 | FUN | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 0 | 3 | 0 | 34 | 14 | 10 | 10 | 0 | 29 | 5 | 6 | 18 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 24 | 17 | 22 | 7 | 12 | 5 | 50.0% | 14.7% | 86.2% | 100.9 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 26 | 6 | 5 | 15 | 0 | 18 | 8 | 2 | 10 | 4 | 2 | 50.00% | 1 | 0 | 100.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 22 | 15 | 24 | 7 | 12 | 6 | 66.7% | 15.4% | 94.4% | 109.8 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 27 | 6 | 10 | 11 | 0 | 20 | 5 | 8 | 26 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 23 | 16 | 23 | 7 | 12 | 5 | 100.0% | 11.1% | 95.0% | 106.1 | LUCKY | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 33 | 12 | 13 | 8 | 0 | 24 | 3 | 5 | 14 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 25 | 18 | 21 | 7 | 12 | 6 | 33.3% | 6.1% | 83.3% | 89.4 | Unlucky | |
10 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 3 | 1 | 1 | 1 | 66 | 28 | 20 | 15 | 3 | 54 | 8 | 10 | 47 | 7 | 1 | 14.29% | 4 | 1 | 75.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 49 | 34 | 46 | 14 | 25 | 12 | 71.4% | 9.1% | 94.4% | 103.5 | LUCKY | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 2 | 2 | 1 | 0 | 29 | 10 | 10 | 9 | 0 | 21 | 7 | 2 | 26 | 4 | 2 | 50.00% | 1 | 0 | 100.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 22 | 15 | 25 | 6 | 12 | 6 | 42.9% | 17.2% | 81.0% | 98.2 | FUN | |
12 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 18 | 27 | 0 | 0 | 2 | 4 | 3 | 0 | 89 | 31 | 23 | 35 | 0 | 74 | 27 | 25 | 59 | 18 | 4 | 22.22% | 9 | 1 | 88.89% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 70 | 47 | 69 | 22 | 39 | 20 | 45.5% | 10.1% | 90.5% | 100.7 | FUN | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 3 | 0 | 0 | 22 | 6 | 8 | 8 | 0 | 23 | 6 | 2 | 25 | 3 | 1 | 33.33% | 1 | 1 | 0.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 23 | 16 | 23 | 7 | 13 | 6 | 100.0% | 18.2% | 95.7% | 113.8 | LUCKY | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 23 | 5 | 11 | 7 | 0 | 19 | 9 | 7 | 20 | 8 | 1 | 12.50% | 1 | 0 | 100.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 25 | 17 | 21 | 8 | 13 | 6 | 25.0% | 8.7% | 84.2% | 92.9 | Unlucky | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 21 | 8 | 8 | 5 | 0 | 41 | 17 | 14 | 25 | 3 | 2 | 66.67% | 6 | 1 | 83.33% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 23 | 17 | 24 | 6 | 11 | 5 | 16.7% | 14.3% | 85.4% | 99.7 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 34 | 7 | 13 | 14 | 0 | 37 | 7 | 8 | 21 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 25 | 18 | 21 | 7 | 13 | 6 | 50.0% | 11.8% | 91.9% | 103.7 | LUCKY | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 37 | 13 | 11 | 13 | 0 | 34 | 5 | 4 | 19 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 25 | 18 | 23 | 5 | 11 | 5 | 71.4% | 13.5% | 91.2% | 104.7 | LUCKY | |
18 | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 8 | 9 | -1 | 4 | 0.667 | 8 | 11 | 19 | 0 | 0 | 2 | 3 | 1 | 5 | 84 | 25 | 33 | 21 | 11 | 91 | 36 | 22 | 48 | 8 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 69 | 46 | 75 | 25 | 42 | 20 | 50.0% | 9.5% | 90.1% | 99.6 | FUN | |
19 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 2 | 1 | 23 | 3 | 7 | 11 | 2 | 27 | 7 | 10 | 14 | 0 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 25 | 18 | 22 | 7 | 12 | 5 | 80.0% | 17.4% | 88.9% | 106.3 | FUN | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 29 | 14 | 12 | 0 | 61 | 24 | 14 | 46 | 9 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 45 | 30 | 48 | 16 | 25 | 11 | 0.0% | 0.0% | 90.2% | 90.2 | Unlucky | |
_Vs Division | 12 | 2 | 6 | 0 | 2 | 1 | 1 | 0 | 28 | 40 | -12 | 11 | 0.458 | 28 | 49 | 77 | 0 | 0 | 7 | 11 | 7 | 6 | 329 | 111 | 105 | 103 | 16 | 361 | 126 | 93 | 227 | 41 | 8 | 19.51% | 39 | 6 | 84.62% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 283 | 196 | 290 | 92 | 155 | 75 | 37.0% | 8.5% | 88.9% | 97.4 | Unlucky | |
_Vs Conference | 18 | 6 | 7 | 0 | 3 | 1 | 1 | 0 | 49 | 55 | -6 | 21 | 0.583 | 49 | 89 | 138 | 0 | 0 | 15 | 17 | 13 | 7 | 518 | 178 | 169 | 158 | 19 | 528 | 155 | 124 | 352 | 62 | 12 | 19.35% | 51 | 8 | 84.31% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 431 | 301 | 426 | 136 | 232 | 114 | 44.0% | 9.5% | 89.6% | 99.0 | FUN | |
_Since Last GM Reset | 27 | 13 | 8 | 0 | 3 | 1 | 1 | 1 | 81 | 77 | 4 | 36 | 0.667 | 81 | 147 | 228 | 0 | 0 | 26 | 30 | 21 | 7 | 796 | 269 | 249 | 263 | 24 | 744 | 220 | 180 | 529 | 99 | 20 | 20.20% | 72 | 11 | 84.72% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 649 | 454 | 638 | 202 | 347 | 171 | 48.0% | 10.2% | 89.7% | 99.8 | FUN | |
Total | 27 | 13 | 8 | 0 | 3 | 1 | 1 | 1 | 81 | 77 | 4 | 36 | 0.667 | 81 | 147 | 228 | 0 | 0 | 26 | 30 | 21 | 7 | 796 | 269 | 249 | 263 | 24 | 744 | 220 | 180 | 529 | 99 | 20 | 20.20% | 72 | 11 | 84.72% | 0 | 486 | 916 | 53.06% | 452 | 910 | 49.67% | 200 | 425 | 47.06% | 649 | 454 | 638 | 202 | 347 | 171 | 48.0% | 10.2% | 89.7% | 99.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 916 |
Neutral Zone Start | 425 |
Defensive Zone Start | 910 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1138 |
Faceoffs Lost | 1113 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 28.9 | 30.68 |
Overtime | 29.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 61 |
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PP Goal | 20 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 8 | 9 |
Lost | 4 | 4 |
Overtime Lost | 1 | 1 |
PP Attempt | 99 |
---|---|
PP Goal | 20 |
PK Attempt | 72 |
PK Goal Against | 11 |
Home | |
---|---|
Shots For | 29.5 |
Shots Against | 27.6 |
Goals For | 3.0 |
Goals Against | 2.9 |
Hits | 19.6 |
Shots Blocked | 8.1 |
Pim | 6.7 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-11 | @ | Oilers2,Canucks3 | RECAP | |||||||||||
2023-10-14 | @ | Canucks3,Oilers1 | RECAP | |||||||||||
2023-10-17 | @ | Canucks3,Flyers2 | RECAP | |||||||||||
2023-10-19 | @ | Canucks5,Lightning4 | RECAP | |||||||||||
2023-10-21 | @ | Canucks2,Panthers3 | RECAP | |||||||||||
2023-10-24 | @ | Canucks3,Predators1 | RECAP | |||||||||||
2023-10-27 | @ | Blues1,Canucks4 | RECAP | |||||||||||
2023-10-28 | @ | Rangers1,Canucks4 | RECAP | |||||||||||
2023-10-31 | @ | Predators2,Canucks3 (OT) | RECAP | |||||||||||
2023-11-02 | @ | Canucks1,Sharks4 | RECAP | |||||||||||
2023-11-04 | @ | Stars3,Canucks4 | RECAP | |||||||||||
2023-11-06 | @ | Oilers4,Canucks3 | RECAP | |||||||||||
2023-11-09 | @ | Canucks4,Senators3 | RECAP | |||||||||||
2023-11-11 | @ | Canucks5,Maple Leafs3 | RECAP | |||||||||||
2023-11-12 | @ | Canucks3,Canadiens1 | RECAP | |||||||||||
2023-11-15 | @ | Islanders3,Canucks5 | RECAP | |||||||||||
2023-11-16 | @ | Canucks4,Flames5 (OT) | RECAP | |||||||||||
2023-11-18 | @ | Kraken3,Canucks0 | RECAP | |||||||||||
2023-11-20 | @ | Sharks2,Canucks3 (SO) | RECAP | |||||||||||
2023-11-22 | @ | Canucks5,Avalanche4 | RECAP | |||||||||||
2023-11-24 | @ | Canucks0,Kraken3 | RECAP | |||||||||||
2023-11-25 | @ | Canucks4,Sharks3 (OT) | RECAP | |||||||||||
2023-11-28 | @ | Ducks6,Canucks3 | RECAP | |||||||||||
2023-11-30 | @ | Golden Knights3,Canucks4 (OT) | RECAP | |||||||||||
2023-12-02 | @ | Canucks0,Flames4 | RECAP | |||||||||||
2023-12-05 | @ | Devils2,Canucks1 (SO) | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,444,150$ | 0$ | 83,513,910$ | -944,150$ |
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 | 76274 | 62619 | 24985 | 50164 | 12429 |
Attendance PCT | 97.79% | 96.34% | 96.10% | 96.47% | 95.61% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
28 | 17421 - 96.78% | 1,538,357$ | 19,998,644$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,444,150$ | 84,444,150$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
25,771,102$ | 439,813$ | 25,458,594$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
43,074,002$ | 132 | 445,022$ | 58,742,904$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
61,211,649$ | 84,444,150$ | 42,542,081$ | 24,404,434$ |
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2024 | ||||||||
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Priority | Type | Description |
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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 | |||
Ian Moore | 2020 | 139 | |||
John Fusco | |||||
Jonathan Myrenberg | 2021 | 154 | |||
Justin Ertel | 2021 | 101 | |||
Kyle Kukkonen | 2021 | 168 | |||
Liekit Reichle | 2021 | 222 | |||
Niclas Westerholm | 6.0 - 5.5 | ||||
Stiven Sardarian | 2021 | 115 |
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