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Vancouver Canucks Team Overall:70 0-0-0, 0pts · 1st in Conférence Pat Burns |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C | 6' 2" | 176 | 24 | 69 | 40 | 90 | 86 | 65 | 85 | 90 | 85 | 71 | 91 | 86 | 77 | 72 | 65 | 64 | 0 | 40 | 84 | 100.00 | 3,775,000$/2yrs | |
0 | ![]() | C | 6' 2" | 202 | 30 | 73 | 40 | 87 | 82 | 79 | 83 | 92 | 81 | 79 | 86 | 80 | 74 | 69 | 79 | 75 | 0 | 40 | 83 | 100.00 | 5,350,000$/1yrs | |
0 | ![]() | LW | 6' 3" | 238 | 37 | 79 | 40 | 79 | 73 | 96 | 84 | 89 | 79 | 54 | 81 | 86 | 56 | 58 | 98 | 62 | 0 | 40 | 81 | 100.00 | 9,538,462$/2yrs | |
0 | ![]() | LW | 6' 2" | 205 | 33 | 72 | 66 | 85 | 76 | 80 | 73 | 93 | 77 | 90 | 83 | 77 | 68 | 58 | 88 | 94 | 0 | 40 | 79 | 100.00 | 9,500,000$/1yrs | |
0 | ![]() | LW | 5' 10" | 204 | 26 | 67 | 40 | 72 | 81 | 86 | 77 | 88 | 79 | 56 | 91 | 75 | 66 | 69 | 70 | 59 | 0 | 40 | 79 | 100.00 | 3,000,000$/1yrs | |
0 | ![]() | LW/RW | 5' 10" | 185 | 30 | 67 | 40 | 85 | 82 | 75 | 76 | 89 | 72 | 63 | 80 | 74 | 70 | 73 | 71 | 59 | 0 | 40 | 77 | 100.00 | 4,250,000$/1yrs | |
0 | ![]() | RW | 6' 1" | 195 | 30 | 77 | 40 | 88 | 67 | 76 | 80 | 93 | 72 | 57 | 79 | 75 | 66 | 92 | 75 | 60 | 0 | 40 | 76 | 100.00 | 3,789,444$/1yrs | |
0 | ![]() | C/LW | 6' 4" | 230 | 26 | 79 | 45 | 89 | 73 | 82 | 73 | 88 | 66 | 82 | 76 | 71 | 74 | 25 | 60 | 60 | 0 | 40 | 75 | 100.00 | 1,150,000$/2yrs | |
0 | ![]() | LW | 6' 0" | 210 | 35 | 77 | 69 | 79 | 67 | 86 | 65 | 83 | 64 | 74 | 76 | 66 | 79 | 54 | 90 | 82 | 0 | 40 | 74 | 100.00 | 5,500,000$/1yrs | |
0 | ![]() | RW | 5' 10" | 165 | 27 | 70 | 64 | 88 | 75 | 64 | 71 | 91 | 68 | 53 | 77 | 69 | 72 | 60 | 65 | 59 | 0 | 40 | 73 | 100.00 | 775,000$/1yrs | |
0 | ![]() | C | 5' 11" | 185 | 24 | 75 | 64 | 82 | 74 | 74 | 72 | 94 | 67 | 67 | 78 | 70 | 66 | 61 | 63 | 59 | 0 | 40 | 73 | 100.00 | 910,833$/1yrs | |
0 | ![]() | RW | 5' 9" | 186 | 31 | 71 | 66 | 70 | 73 | 77 | 69 | 71 | 62 | 54 | 72 | 69 | 71 | 57 | 76 | 72 | 0 | 40 | 72 | 100.00 | 3,750,000$/2yrs | |
0 | ![]() | C | 6' 0" | 194 | 26 | 82 | 66 | 83 | 70 | 77 | 65 | 92 | 64 | 82 | 73 | 69 | 68 | 82 | 60 | 58 | 0 | 40 | 72 | 100.00 | 925,000$/1yrs | |
0 | ![]() | C/LW | 5' 10" | 192 | 28 | 81 | 40 | 93 | 64 | 79 | 65 | 81 | 61 | 61 | 73 | 65 | 75 | 54 | 65 | 59 | 0 | 40 | 71 | 100.00 | 1,162,500$/3yrs | |
0 | ![]() | C | 5' 9" | 190 | 30 | 73 | 40 | 91 | 67 | 80 | 63 | 78 | 59 | 61 | 72 | 59 | 72 | 54 | 60 | 58 | 0 | 40 | 68 | 100.00 | 725,000$/2yrs | |
0 | ![]() | RW | 6' 1" | 190 | 21 | 81 | 66 | 91 | 68 | 74 | 63 | 74 | 57 | 55 | 70 | 62 | 67 | 54 | 58 | 58 | 0 | 40 | 68 | 100.00 | 1,775,000$/3yrs | |
0 | ![]() | LW | 6' 1" | 192 | 25 | 65 | 40 | 71 | 69 | 75 | 69 | 58 | 55 | 53 | 71 | 61 | 61 | 54 | 57 | 58 | 0 | 40 | 66 | 100.00 | 1,713,333$/1yrs | |
0 | ![]() | C | 6' 6" | 218 | 25 | 71 | 41 | 85 | 66 | 81 | 60 | 63 | 57 | 55 | 70 | 59 | 65 | 67 | 57 | 58 | 0 | 40 | 66 | 100.00 | 1,573,333$/2yrs | |
0 | ![]() | C/LW | 6' 1" | 194 | 26 | 55 | 62 | 64 | 63 | 64 | 67 | 65 | 62 | 55 | 59 | 64 | 62 | 60 | 64 | 58 | 0 | 40 | 64 | 100.00 | 1,491,667$/1yrs | |
0 | ![]() | C/LW | 5' 11" | 185 | 26 | 56 | 55 | 64 | 62 | 60 | 66 | 64 | 63 | 55 | 61 | 61 | 64 | 57 | 64 | 58 | 0 | 40 | 64 | 100.00 | 925,000$/1yrs | |
0 | ![]() | LW | 5' 9" | 185 | 22 | 60 | 53 | 73 | 65 | 65 | 63 | 64 | 60 | 54 | 64 | 60 | 63 | 58 | 58 | 55 | 0 | 40 | 64 | 100.00 | 1,125,000$/2yrs | |
0 | ![]() | RW | 5' 11" | 172 | 24 | 74 | 40 | 94 | 59 | 67 | 60 | 60 | 52 | 51 | 69 | 54 | 70 | 54 | 55 | 58 | 0 | 40 | 64 | 100.00 | 925,000$/2yrs | |
0 | ![]() | LW | 5' 11" | 196 | 24 | 55 | 59 | 68 | 63 | 64 | 67 | 64 | 61 | 55 | 60 | 61 | 60 | 57 | 60 | 56 | 0 | 40 | 63 | 100.00 | 1,137,500$/2yrs | |
0 | ![]() | C | 5' 10" | 193 | 25 | 55 | 56 | 66 | 61 | 60 | 66 | 64 | 59 | 69 | 57 | 59 | 62 | 54 | 60 | 56 | 0 | 40 | 62 | 100.00 | 925,000$/2yrs | |
0 | ![]() | RW | 6' 1" | 205 | 26 | 55 | 55 | 66 | 59 | 66 | 66 | 64 | 57 | 55 | 56 | 58 | 59 | 54 | 62 | 57 | 0 | 40 | 61 | 100.00 | 1,288,333$/1yrs | |
0 | ![]() | C/LW | 5' 11" | 174 | 26 | 55 | 54 | 68 | 55 | 58 | 56 | 55 | 55 | 55 | 55 | 55 | 60 | 54 | 62 | 57 | 0 | 40 | 58 | 100.00 | 925,000$/1yrs | |
0 | ![]() | C | 5' 10" | 192 | 23 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 40 | 56 | 100.00 | 750,000$/3yrs | |
0 | ![]() | D | 6' 3" | 207 | 26 | 73 | 64 | 84 | 77 | 80 | 90 | 92 | 65 | 40 | 80 | 62 | 84 | 58 | 74 | 60 | 0 | 40 | 77 | 100.00 | 4,950,000$/1yrs | |
0 | ![]() | D | 6' 4" | 224 | 32 | 76 | 69 | 78 | 65 | 87 | 82 | 94 | 61 | 40 | 76 | 58 | 93 | 54 | 81 | 60 | 0 | 40 | 76 | 100.00 | 3,900,000$/2yrs | |
0 | ![]() | D | 5' 11" | 197 | 31 | 70 | 40 | 81 | 71 | 80 | 83 | 93 | 70 | 40 | 80 | 65 | 80 | 56 | 79 | 60 | 0 | 40 | 76 | 100.00 | 5,500,000$/1yrs | |
0 | ![]() | D | 6' 2" | 197 | 32 | 61 | 36 | 86 | 64 | 80 | 91 | 89 | 62 | 30 | 73 | 61 | 88 | 52 | 80 | 75 | 0 | 40 | 75 | 100.00 | 4,500,000$/1yrs | |
0 | ![]() | D | 6' 1" | 205 | 28 | 71 | 40 | 85 | 77 | 82 | 80 | 92 | 62 | 40 | 74 | 63 | 87 | 54 | 63 | 59 | 0 | 40 | 75 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 6' 0" | 193 | 27 | 81 | 86 | 80 | 74 | 77 | 77 | 76 | 56 | 40 | 69 | 58 | 83 | 54 | 57 | 58 | 0 | 40 | 72 | 100.00 | 750,000$/1yrs | |
0 | ![]() | D | 6' 1" | 203 | 28 | 69 | 40 | 84 | 61 | 81 | 83 | 89 | 62 | 40 | 60 | 60 | 93 | 54 | 69 | 59 | 0 | 40 | 72 | 100.00 | 1,000,000$/1yrs | |
0 | ![]() | D | 6' 1" | 196 | 24 | 64 | 40 | 81 | 68 | 77 | 73 | 68 | 61 | 40 | 77 | 58 | 77 | 54 | 58 | 58 | 0 | 40 | 70 | 100.00 | 2,010,000$/2yrs | |
0 | ![]() | D | 6' 4" | 216 | 34 | 69 | 66 | 77 | 65 | 83 | 65 | 77 | 56 | 40 | 69 | 59 | 86 | 54 | 72 | 59 | 0 | 40 | 70 | 100.00 | 1,375,000$/1yrs | |
0 | ![]() | D | 6' 1" | 187 | 26 | 64 | 41 | 86 | 59 | 71 | 68 | 67 | 56 | 40 | 70 | 56 | 80 | 54 | 57 | 58 | 0 | 40 | 67 | 100.00 | 842,916$/1yrs | |
0 | ![]() | D | 6' 0" | 194 | 27 | 55 | 57 | 65 | 62 | 63 | 68 | 66 | 62 | 40 | 62 | 57 | 66 | 54 | 66 | 59 | 0 | 40 | 64 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 6' 2" | 201 | 35 | 62 | 49 | 66 | 60 | 69 | 63 | 60 | 55 | 40 | 60 | 56 | 68 | 55 | 78 | 64 | 0 | 40 | 63 | 100.00 | 2,000,000$/1yrs | |
0 | ![]() | D | 5' 11" | 184 | 22 | 58 | 49 | 68 | 61 | 67 | 67 | 61 | 58 | 40 | 65 | 55 | 66 | 54 | 55 | 55 | 0 | 40 | 63 | 100.00 | 1,523,333$/2yrs | |
0 | ![]() | D | 5' 10" | 177 | 24 | 57 | 52 | 72 | 59 | 64 | 63 | 59 | 56 | 40 | 59 | 57 | 65 | 54 | 58 | 56 | 0 | 40 | 62 | 100.00 | 1,491,667$/1yrs | |
0 | ![]() | D | 6' 3" | 188 | 23 | 55 | 54 | 66 | 60 | 64 | 68 | 65 | 57 | 40 | 57 | 55 | 60 | 57 | 59 | 55 | 0 | 40 | 61 | 100.00 | 863,333$/1yrs | |
0 | ![]() | D | 6' 3" | 210 | 24 | 55 | 54 | 66 | 58 | 69 | 66 | 64 | 58 | 40 | 58 | 55 | 59 | 54 | 60 | 56 | 0 | 40 | 61 | 100.00 | 705,667$/1yrs | |
0 | ![]() | D | 6' 0" | 190 | 22 | 55 | 55 | 65 | 59 | 63 | 65 | 63 | 59 | 40 | 59 | 57 | 58 | 54 | 57 | 54 | 0 | 40 | 61 | 100.00 | 1,288,333$/3yrs | |
0 | ![]() | D | 6' 3" | 218 | 25 | 55 | 54 | 65 | 58 | 70 | 66 | 64 | 56 | 40 | 57 | 54 | 60 | 54 | 61 | 56 | 0 | 40 | 60 | 100.00 | 830,416$/1yrs | |
0 | ![]() | D | 6' 1" | 194 | 23 | 55 | 54 | 67 | 55 | 64 | 56 | 56 | 55 | 40 | 55 | 54 | 62 | 54 | 59 | 55 | 0 | 40 | 59 | 100.00 | 910,833$/1yrs |
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 | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 3" | 214 | 26 | 70 | 82 | 81 | 77 | 84 | 75 | 60 | 55 | 0 | 40 | 78 | 100.00 | 708,750$/1yrs | |||||||
0 | ![]() | 6' 4" | 192 | 27 | 73 | 77 | 75 | 79 | 83 | 89 | 63 | 56 | 0 | 40 | 78 | 100.00 | 1,050,000$/1yrs | |||||||
0 | ![]() | 6' 2" | 217 | 26 | 62 | 79 | 79 | 72 | 77 | 70 | 60 | 55 | 0 | 40 | 73 | 100.00 | 767,500$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Boudreau | 73 | 78 | 79 | 77 | 99 | 93 | 42 | CAN | 68 | 3 | 3,200,000$ |
General Manager | Bailey Ruggieri |
---|
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 |
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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 |
---|
Projected Total Cap Hit | 0$ |
Projected Cap Space | 91,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 49 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 | 2029-2030 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Gaudette ![]() | C/LW | 26 | 1,491,667$ | 1,491,667$ | |||||||
Alex Nylander ![]() | LW | 25 | 1,713,333$ | 1,713,333$ | |||||||
Alex Ovechkin ![]() | LW | 37 | 9,538,462$ | 9,538,462$ | 9,538,462$ | ||||||
Benjamin Tardif ![]() | C | 23 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Brayden Burke ![]() | C/LW | 26 | 925,000$ | 925,000$ | |||||||
Brendan Gallagher ![]() | RW | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | ||||||
Brenden Dillon ![]() | D | 32 | 3,900,000$ | 3,900,000$ | 3,900,000$ | ||||||
Brogan Rafferty ![]() | D | 27 | 700,000$ | 700,000$ | |||||||
Cameron Hughes ![]() | C/LW | 26 | 925,000$ | 925,000$ | |||||||
Christopher Tanev ![]() | D | 32 | 4,500,000$ | 4,500,000$ | |||||||
Colin Blackwell ![]() | C | 30 | 725,000$ | 725,000$ | 725,000$ | ||||||
Colton White ![]() | D | 26 | 750,000$ | 750,000$ | |||||||
Conor Garland ![]() | RW | 27 | 775,000$ | 775,000$ | |||||||
Dillon Dube ![]() | C | 24 | 910,833$ | 910,833$ | |||||||
Dmitri Samorukov ![]() | D | 23 | 863,333$ | 863,333$ | |||||||
Elias Pettersson | C | 24 | 3,775,000$ | 3,775,000$ | 3,775,000$ | ||||||
Jack Rathbone ![]() | D | 24 | 1,491,667$ | 1,491,667$ | |||||||
Jacob Moverare ![]() | D | 24 | 705,667$ | 705,667$ | |||||||
Jake Bean ![]() | D | 24 | 2,333,333$ | 2,333,333$ | 2,333,333$ | ||||||
Jamie Benn ![]() | LW | 33 | 9,500,000$ | 9,500,000$ | |||||||
John Leonard ![]() | LW | 24 | 1,137,500$ | 1,137,500$ | 1,137,500$ | ||||||
Jordie Benn ![]() | D | 35 | 2,000,000$ | 2,000,000$ | |||||||
Josh Brook ![]() | D | 23 | 910,833$ | 910,833$ | |||||||
Kaapo Kahkonen ![]() | C | 26 | 767,500$ | 767,500$ | |||||||
Kevin Fiala ![]() | LW | 26 | 3,000,000$ | 3,000,000$ | |||||||
Kyle Burroughs ![]() | D | 27 | 750,000$ | 750,000$ | |||||||
Lassi Thomson ![]() | D | 22 | 1,288,333$ | 1,288,333$ | 1,288,333$ | 1,288,333$ | |||||
Logan Brown ![]() | C | 25 | 1,573,333$ | 1,573,333$ | 1,573,333$ | ||||||
Matt Benning ![]() | D | 28 | 1,000,000$ | 1,000,000$ | |||||||
Matt Roy ![]() | D | 28 | 700,000$ | 700,000$ | |||||||
Mika Zibanejad ![]() | C | 30 | 5,350,000$ | 5,350,000$ | |||||||
Nick Foligno ![]() | LW | 35 | 5,500,000$ | 5,500,000$ | |||||||
Nick Paul ![]() | C/LW | 26 | 1,350,000$ | 1,350,000$ | 1,350,000$ | ||||||
Nils Hoglander ![]() | LW | 22 | 1,125,000$ | 1,125,000$ | 1,125,000$ | ||||||
Noah Hanifin ![]() | D | 26 | 4,950,000$ | 4,950,000$ | |||||||
Oskar Steen ![]() | C | 25 | 925,000$ | 925,000$ | 925,000$ | ||||||
Rickard Rakell ![]() | RW | 30 | 3,789,444$ | 3,789,444$ | |||||||
Robert Bortuzzo ![]() | D | 34 | 1,375,000$ | 1,375,000$ | |||||||
Ross Colton ![]() | C | 26 | 925,000$ | 925,000$ | |||||||
Sam Montembeault ![]() | C/LW | 26 | 708,750$ | 708,750$ | |||||||
Sean Day ![]() | D | 25 | 750,000$ | 750,000$ | |||||||
Thatcher Demko ![]() | D | 27 | 1,050,000$ | 1,050,000$ | |||||||
Tyler Motte ![]() | C/LW | 28 | 1,225,000$ | 1,225,000$ | 1,225,000$ | 1,225,000$ | |||||
Tyson Barrie ![]() | D | 31 | 5,500,000$ | 5,500,000$ | |||||||
Vasily Podkolzin ![]() | RW | 21 | 1,775,000$ | 1,775,000$ | 1,775,000$ | 1,775,000$ | |||||
Victor Soderstrom ![]() | D | 22 | 1,523,333$ | 1,523,333$ | 1,523,333$ | ||||||
Viktor Arvidsson ![]() | LW/RW | 30 | 4,250,000$ | 4,250,000$ | |||||||
William Lockwood ![]() | RW | 24 | 925,000$ | 925,000$ | 925,000$ | ||||||
Zach Senyshyn ![]() | RW | 26 | 1,288,333$ | 1,288,333$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
105,661,488$ | 0$ | 0$ | 91,500,000$ |
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 | 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$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
105,661,488$ | 105,248,987$ | 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$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 10,000,000$ | 10,000,000$ |
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
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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Aatu Raty | |||||
Alexander Ljungkrantz | |||||
Alexander Nikishin | |||||
Danila Klimovich | |||||
Drew Commesso | |||||
Emil Martinsen-Lilleberg | |||||
Jack Finlay | |||||
Joel Blomqvist | |||||
Josh Doan | |||||
Landon Slaggert | |||||
Logan Stankoven | |||||
Luca Munzenberger | |||||
Oliver Tarnstrom | |||||
Sam Stange | |||||
Samuel Knazko | |||||
Shakir Mukhamadullin | |||||
Taige Harding | |||||
Tyler Boucher |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
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 |
---|---|---|---|---|---|
Aatu Raty | |||||
Alexander Ljungkrantz | |||||
Alexander Nikishin | |||||
Danila Klimovich | |||||
Drew Commesso | |||||
Emil Martinsen-Lilleberg | |||||
Jack Finlay | |||||
Joel Blomqvist | |||||
Josh Doan | |||||
Landon Slaggert | |||||
Logan Stankoven | |||||
Luca Munzenberger | |||||
Oliver Tarnstrom | |||||
Sam Stange | |||||
Samuel Knazko | |||||
Shakir Mukhamadullin | |||||
Taige Harding | |||||
Tyler Boucher |