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Vancouver Canucks 0-0-0, 0pts |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
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![]() | 88 | LW/RW | 100.00 | 67 | 33 | 94 | 82 | 63 | 87 | 90 | 80 | 58 | 77 | 81 | 66 | 82 | 65 | 74 | 82 | 75 | 0 | 24 | 7,850,000$/6yrs | |||
![]() | 51 | C | 100.00 | 77 | 36 | 90 | 69 | 82 | 86 | 90 | 68 | 81 | 66 | 63 | 86 | 65 | 69 | 70 | 63 | 75 | 0 | 26 | 3,000,000$/2yrs | |||
![]() | 9 | C/LW | 100.00 | 72 | 43 | 87 | 76 | 75 | 86 | 90 | 77 | 75 | 73 | 74 | 63 | 72 | 73 | 71 | 56 | 75 | 0 | 29 | 2,700,000$/1yrs | |||
![]() | 41 | LW/RW | 100.00 | 68 | 37 | 92 | 82 | 86 | 89 | 90 | 85 | 57 | 83 | 80 | 66 | 84 | 68 | 75 | 72 | 75 | 0 | 25 | 8,000,000$/5yrs | |||
![]() | 38 | LW/RW | 100.00 | 84 | 35 | 90 | 66 | 74 | 76 | 80 | 64 | 56 | 60 | 62 | 63 | 61 | 69 | 71 | 58 | 75 | 0 | 27 | 1,800,000$/1yrs | |||
![]() | 34 | C/RW | 100.00 | 71 | 41 | 89 | 81 | 79 | 91 | 90 | 82 | 76 | 80 | 91 | 84 | 86 | 79 | 78 | 73 | 75 | 0 | 29 | 8,625,000$/7yrs | |||
![]() | 30 | C | 100.00 | 60 | 39 | 92 | 85 | 82 | 91 | 86 | 81 | 76 | 88 | 82 | 84 | 85 | 75 | 78 | 73 | 75 | 0 | 28 | 10,000,000$/1yrs | |||
![]() | 22 | D | 100.00 | 78 | 38 | 85 | 65 | 92 | 90 | 79 | 62 | 30 | 71 | 58 | 86 | 48 | 66 | 68 | 74 | 75 | 0 | 25 | 4,285,714$/5yrs | |||
![]() | 85 | D | 100.00 | 74 | 39 | 88 | 68 | 86 | 85 | 80 | 64 | 30 | 67 | 60 | 66 | 52 | 63 | 65 | 81 | 75 | 0 | 23 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 77 | 65 | 74 | 72 | 64 | 87 | 86 | 67 | 78 | 74 | 63 | 80 | 68 | 79 | 76 | 23 | 75 | 0 | 33 | ||||
![]() | 39 | C/LW/RW | 100.00 | 63 | 36 | 90 | 64 | 70 | 79 | 86 | 62 | 70 | 61 | 58 | 63 | 59 | 68 | 70 | 64 | 75 | 0 | 27 | ||||
![]() | 0 | C/LW/RW | 100.00 | 68 | 33 | 88 | 76 | 67 | 91 | 89 | 77 | 80 | 83 | 71 | 80 | 75 | 85 | 76 | 51 | 75 | 0 | 33 | ||||
![]() | 23 | C/LW | 100.00 | 74 | 68 | 70 | 69 | 73 | 78 | 90 | 66 | 64 | 61 | 63 | 62 | 67 | 70 | 71 | 45 | 75 | 0 | 28 | ||||
![]() | 18 | C/LW | 100.00 | 60 | 36 | 92 | 72 | 78 | 86 | 85 | 67 | 82 | 70 | 66 | 82 | 65 | 78 | 74 | 48 | 75 | 0 | 30 | ||||
![]() | 87 | LW/RW | 100.00 | 65 | 37 | 93 | 73 | 75 | 84 | 83 | 72 | 74 | 71 | 69 | 63 | 75 | 70 | 69 | 61 | 75 | 0 | 28 | ||||
![]() | 6 | D | 100.00 | 82 | 72 | 76 | 62 | 92 | 84 | 45 | 62 | 30 | 70 | 68 | 71 | 52 | 86 | 90 | 30 | 75 | 0 | 39 | 7,857,143$/1yrs | |||
![]() | 26 | D | 100.00 | 69 | 37 | 84 | 70 | 86 | 87 | 77 | 67 | 30 | 74 | 58 | 71 | 52 | 67 | 69 | 66 | 75 | 0 | 26 | ||||
![]() | 97 | D | 100.00 | 69 | 35 | 85 | 72 | 75 | 92 | 88 | 70 | 30 | 74 | 66 | 82 | 55 | 65 | 67 | 82 | 75 | 0 | 24 | ||||
![]() | 16 | D | 100.00 | 67 | 36 | 92 | 68 | 81 | 86 | 82 | 66 | 30 | 71 | 59 | 69 | 53 | 68 | 70 | 72 | 75 | 0 | 26 | ||||
![]() | 8 | D | 100.00 | 79 | 82 | 72 | 73 | 89 | 93 | 90 | 68 | 30 | 77 | 66 | 84 | 55 | 78 | 72 | 69 | 75 | 0 | 30 | 9,500,000$/4yrs | |||
![]() | 12 | D | 100.00 | 82 | 75 | 72 | 66 | 87 | 88 | 83 | 64 | 30 | 75 | 62 | 78 | 52 | 79 | 74 | 26 | 75 | 0 | 33 | ||||
TEAM AVERAGE | 100.00 | 72 | 45 | 85 | 72 | 79 | 86 | 84 | 70 | 56 | 73 | 68 | 74 | 65 | 72 | 73 | 60 | 75 | 0 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 30 | 100.00 | 88 | 83 | 78 | 79 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 75 | 87 | 50 | 75 | 0 | 33 | 1,300,000$/1yrs |
![]() | 2 | 100.00 | 94 | 85 | 80 | 87 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 75 | 84 | 61 | 75 | 0 | 29 | 5,000,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 91 | 84 | 79 | 83 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 75 | 86 | 56 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Hynes | 80 | 85 | 84 | 81 | 75 | 70 | 76 | USA | 51 | 1 | 2,700,000$ |
General Manager | Frederic Turgeon |
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Priority | Type | Description |
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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 |
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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 |
# | 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 |
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Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 15 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Copp | C/LW | 30 | 0$ | ||||||||
Calvin Pickard | C/G | 33 | 1,300,000$ | 1,300,000$ | RFA | ||||||
Cam York | D | 24 | 0$ | RFA | |||||||
Carl Grundstrom | LW/RW | 27 | 1,800,000$ | 1,800,000$ | RFA | ||||||
Cole Caufield ![]() | LW/RW | 24 | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | 7,850,000$ | RFA | |
Conor Timmins | D | 26 | 0$ | RFA | |||||||
Daniel Sprong | LW/RW | 28 | 0$ | RFA | |||||||
Darnell Nurse ![]() | D | 30 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Eetu Luostarinen | C | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | RFA | |||||
Jack Eichel | C | 28 | 10,000,000$ | 10,000,000$ | RFA | ||||||
Jason Robertson ![]() | LW/RW | 25 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | RFA | ||
Josh Manson ![]() | D | 33 | 0$ | UFA | |||||||
Juuso Valimaki | D | 26 | 0$ | RFA | |||||||
Mattias Samuelsson | D/G | 25 | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | RFA | ||
Michael Eyssimont ![]() | C/LW | 28 | 0$ | RFA | |||||||
Mikael Granlund ![]() | C/LW/RW | 33 | 0$ | UFA | |||||||
Rasmus Asplund ![]() | C/LW/RW | 27 | 0$ | RFA | |||||||
Ryan Donato | C/LW | 29 | 2,700,000$ | 2,700,000$ | RFA | ||||||
Sam Reinhart ![]() | C/RW | 29 | 8,625,000$ | 8,625,000$ | 8,625,000$ | 8,625,000$ | 8,625,000$ | 8,625,000$ | 8,625,000$ | 8,625,000$ | UFA |
Shakir Mukhamadullin | D | 23 | 1,000,000$ | 1,000,000$ | |||||||
Shea Weber | D/G | 39 | 7,857,143$ | 7,857,143$ | UFA | ||||||
Thatcher Demko | C/G | 29 | 5,000,000$ | 5,000,000$ | |||||||
Yanni Gourde ![]() | C/LW/RW | 33 | 0$ | UFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Date | Matchup | Result | Detail |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,467,857$ | 0$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Rogers Arena | |
City | Vancouver | ||
Capacity | 18810 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2810 | 4000 | 1000 |
Ticket Price | 140$ | 115$ | 75$ | 57$ | 210$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18810 | 150 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
72,467,857$ | 70,917,856$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 197,886,153$ | 197,886,153$ |
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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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 |
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Albin Boija | 2024 | 119 | |||
Anton Maryshev | 2023 | 201 | |||
Ben Danford | 2024 | 55 | ELC 2024-25 | Link | |
Brendan McMorrow | 2024 | 193 | |||
Guillaume Richard | 2021 | 103 | ELC 2025-26 | Link | |
Isac Born | 2023 | 172 | |||
James Fisher | 2022 | 216 | |||
James Reeder | 2024 | 183 | |||
Mathias Dehli | 2024 | 151 | |||
Matteo Fabrizi | 2023 | 93 | |||
Michael Emerson | 2023 | 128 | |||
Milton Oscarsson | 2023 | 105 | |||
Nathan Aspinall | 2024 | 215 | |||
Noah Powell | 2024 | 143 | |||
Scott Ratzlaff | 2023 | 79 | ELC 2024-25 | Link | |
Terik Parascak | 2024 | 23 | ELC 2024-25 | Link | |
Tuomas Uronen | 2023 | 94 | ELC 2025-26 | Link | |
Vadim Moroz | 2023 | 152 |
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