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Seattle Krakens Team Overall:70 0-0-0, 0pts |
# | 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" | 207 | 26 | 73 | 40 | 92 | 91 | 81 | 80 | 77 | 78 | 71 | 85 | 81 | 70 | 64 | 70 | 73 | 0 | 40 | 82 | 100.00 | 10,000,000$/1yrs | |
0 | ![]() | RW | 6' 1" | 220 | 26 | 80 | 64 | 80 | 82 | 90 | 82 | 92 | 74 | 60 | 78 | 82 | 71 | 64 | 70 | 59 | 0 | 40 | 80 | 100.00 | 6,000,000$/1yrs | |
0 | ![]() | LW | 6' 0" | 193 | 21 | 71 | 40 | 74 | 68 | 77 | 86 | 89 | 82 | 64 | 86 | 84 | 69 | 71 | 61 | 58 | 0 | 40 | 80 | 100.00 | 3,425,000$/2yrs | |
0 | ![]() | LW | 6' 1" | 205 | 28 | 76 | 40 | 82 | 77 | 82 | 77 | 79 | 74 | 51 | 80 | 78 | 66 | 74 | 74 | 70 | 0 | 40 | 78 | 100.00 | 6,000,000$/1yrs | |
0 | ![]() | RW | 5' 8" | 178 | 25 | 74 | 64 | 87 | 78 | 74 | 81 | 93 | 73 | 57 | 82 | 74 | 65 | 82 | 69 | 65 | 0 | 40 | 77 | 100.00 | 894,166$/1yrs | |
0 | ![]() | C | 6' 3" | 190 | 24 | 76 | 40 | 85 | 68 | 71 | 74 | 92 | 67 | 64 | 77 | 69 | 76 | 54 | 61 | 58 | 0 | 40 | 74 | 100.00 | 925,000$/1yrs | |
0 | ![]() | C | 6' 1" | 200 | 26 | 72 | 40 | 90 | 78 | 79 | 75 | 89 | 68 | 70 | 81 | 65 | 65 | 54 | 67 | 59 | 0 | 40 | 74 | 100.00 | 1,106,666$/1yrs | |
0 | ![]() | C | 6' 2" | 201 | 22 | 77 | 40 | 76 | 70 | 78 | 70 | 91 | 67 | 79 | 76 | 70 | 72 | 90 | 64 | 59 | 0 | 40 | 74 | 100.00 | 3,425,000$/1yrs | |
0 | ![]() | RW | 5' 10" | 191 | 24 | 77 | 40 | 87 | 68 | 79 | 70 | 83 | 66 | 53 | 73 | 73 | 71 | 54 | 60 | 58 | 0 | 40 | 73 | 100.00 | 3,115,000$/1yrs | |
0 | ![]() | C | 6' 2" | 205 | 34 | 75 | 40 | 78 | 71 | 80 | 71 | 92 | 61 | 82 | 72 | 64 | 77 | 58 | 85 | 61 | 0 | 40 | 73 | 100.00 | 3,500,000$/1yrs | |
0 | ![]() | C/RW | 5' 11" | 208 | 35 | 65 | 40 | 83 | 69 | 86 | 66 | 91 | 65 | 54 | 75 | 66 | 65 | 58 | 96 | 67 | 0 | 40 | 72 | 100.00 | 8,000,000$/1yrs | |
0 | ![]() | C | 6' 3" | 201 | 23 | 90 | 69 | 78 | 71 | 77 | 69 | 82 | 62 | 70 | 73 | 66 | 74 | 54 | 57 | 58 | 0 | 40 | 72 | 100.00 | 1,350,000$/3yrs | |
0 | ![]() | C | 6' 0" | 193 | 23 | 66 | 40 | 94 | 71 | 77 | 70 | 83 | 60 | 72 | 73 | 61 | 77 | 54 | 61 | 58 | 0 | 40 | 70 | 100.00 | 925,000$/1yrs | |
0 | ![]() | C | 6' 0" | 190 | 24 | 76 | 67 | 82 | 73 | 75 | 66 | 79 | 61 | 54 | 71 | 67 | 66 | 54 | 60 | 58 | 0 | 40 | 70 | 100.00 | 850,000$/1yrs | |
0 | ![]() | C | 6' 0" | 204 | 33 | 70 | 40 | 85 | 65 | 83 | 61 | 85 | 60 | 52 | 70 | 65 | 68 | 57 | 82 | 60 | 0 | 40 | 69 | 100.00 | 3,100,000$/2yrs | |
0 | ![]() | C | 6' 3" | 215 | 24 | 77 | 70 | 75 | 65 | 82 | 59 | 73 | 62 | 54 | 70 | 66 | 68 | 54 | 58 | 58 | 0 | 40 | 69 | 100.00 | 1,075,833$/1yrs | |
0 | ![]() | C | 6' 2" | 188 | 23 | 70 | 40 | 90 | 68 | 71 | 64 | 72 | 59 | 53 | 71 | 64 | 71 | 54 | 57 | 58 | 0 | 40 | 68 | 100.00 | 1,269,167$/2yrs | |
0 | ![]() | RW | 6' 5" | 218 | 24 | 70 | 40 | 86 | 66 | 83 | 61 | 72 | 58 | 53 | 69 | 64 | 65 | 54 | 57 | 58 | 0 | 40 | 67 | 100.00 | 925,000$/1yrs | |
0 | ![]() | LW | 5' 9" | 183 | 21 | 68 | 42 | 91 | 65 | 74 | 60 | 56 | 56 | 54 | 71 | 61 | 66 | 54 | 55 | 57 | 0 | 40 | 66 | 100.00 | 796,667$/3yrs | |
0 | ![]() | RW | 6' 2" | 205 | 21 | 65 | 44 | 88 | 62 | 77 | 60 | 63 | 57 | 53 | 65 | 62 | 69 | 54 | 56 | 57 | 0 | 40 | 65 | 100.00 | 925,000$/1yrs | |
0 | ![]() | C | 5' 11" | 174 | 23 | 64 | 49 | 75 | 64 | 64 | 61 | 61 | 58 | 74 | 64 | 59 | 66 | 55 | 56 | 56 | 0 | 40 | 64 | 100.00 | 925,000$/3yrs | |
0 | ![]() | LW | 6' 3" | 222 | 22 | 56 | 57 | 64 | 62 | 72 | 67 | 65 | 63 | 55 | 61 | 61 | 57 | 64 | 57 | 54 | 0 | 40 | 63 | 100.00 | 850,000$/2yrs | |
0 | ![]() | C/LW | 6' 1" | 174 | 29 | 57 | 55 | 61 | 59 | 59 | 67 | 66 | 59 | 55 | 58 | 59 | 63 | 54 | 68 | 60 | 0 | 40 | 62 | 100.00 | 700,000$/2yrs | |
0 | ![]() | C | 6' 6" | 220 | 25 | 55 | 60 | 66 | 59 | 73 | 64 | 62 | 60 | 55 | 58 | 59 | 61 | 57 | 61 | 56 | 0 | 40 | 62 | 100.00 | 730,000$/1yrs | |
0 | ![]() | LW | 5' 11" | 186 | 22 | 58 | 51 | 70 | 60 | 64 | 63 | 62 | 59 | 54 | 62 | 58 | 59 | 56 | 56 | 55 | 0 | 40 | 62 | 100.00 | 1,775,000$/2yrs | |
0 | ![]() | LW | 6' 2" | 205 | 24 | 58 | 52 | 68 | 58 | 68 | 65 | 63 | 56 | 55 | 58 | 56 | 58 | 54 | 58 | 55 | 0 | 40 | 60 | 100.00 | 925,000$/1yrs | |
0 | ![]() | RW | 6' 3" | 187 | 21 | 54 | 57 | 67 | 59 | 63 | 65 | 63 | 58 | 55 | 57 | 57 | 56 | 60 | 55 | 53 | 0 | 40 | 60 | 100.00 | 919,167$/2yrs | |
0 | ![]() | RW | 6' 1" | 175 | 23 | 55 | 54 | 66 | 59 | 59 | 65 | 63 | 58 | 55 | 58 | 57 | 58 | 54 | 59 | 55 | 0 | 40 | 60 | 100.00 | 1,125,000$/1yrs | |
0 | ![]() | C/LW | 6' 4" | 205 | 24 | 55 | 54 | 66 | 56 | 68 | 61 | 60 | 55 | 55 | 55 | 54 | 60 | 54 | 59 | 55 | 0 | 40 | 59 | 100.00 | 879,167$/1yrs | |
0 | ![]() | D | 6' 0" | 190 | 32 | 67 | 40 | 84 | 96 | 75 | 97 | 87 | 84 | 40 | 95 | 73 | 71 | 57 | 84 | 81 | 0 | 40 | 84 | 100.00 | 11,500,000$/1yrs | |
0 | ![]() | D | 6' 1" | 217 | 24 | 75 | 64 | 76 | 90 | 88 | 93 | 93 | 74 | 40 | 86 | 63 | 83 | 58 | 69 | 59 | 0 | 40 | 81 | 100.00 | 1,744,166$/1yrs | |
0 | ![]() | D | 5' 11" | 182 | 25 | 69 | 40 | 81 | 83 | 72 | 94 | 92 | 75 | 40 | 88 | 65 | 85 | 57 | 63 | 59 | 0 | 40 | 80 | 100.00 | 1,775,000$/1yrs | |
0 | ![]() | D | 6' 3" | 210 | 25 | 76 | 40 | 86 | 67 | 81 | 86 | 90 | 58 | 40 | 70 | 61 | 90 | 54 | 60 | 58 | 0 | 40 | 74 | 100.00 | 1,491,667$/1yrs | |
0 | ![]() | D | 6' 3" | 181 | 27 | 70 | 40 | 79 | 78 | 67 | 84 | 93 | 61 | 40 | 74 | 62 | 83 | 54 | 68 | 59 | 0 | 40 | 74 | 100.00 | 3,250,000$/2yrs | |
0 | ![]() | D | 6' 4" | 231 | 23 | 75 | 40 | 83 | 68 | 91 | 89 | 75 | 58 | 40 | 72 | 59 | 86 | 54 | 58 | 58 | 0 | 40 | 74 | 100.00 | 925,000$/3yrs | |
0 | ![]() | D | 6' 0" | 182 | 22 | 63 | 40 | 89 | 84 | 71 | 80 | 73 | 66 | 40 | 79 | 62 | 71 | 54 | 60 | 58 | 0 | 40 | 73 | 100.00 | 1,744,167$/1yrs | |
0 | ![]() | D | 6' 4" | 210 | 37 | 75 | 40 | 78 | 65 | 80 | 71 | 81 | 58 | 40 | 72 | 59 | 81 | 57 | 88 | 68 | 0 | 40 | 72 | 100.00 | 3,500,000$/1yrs | |
0 | ![]() | D | 6' 2" | 208 | 25 | 63 | 43 | 85 | 63 | 79 | 63 | 63 | 56 | 40 | 69 | 55 | 72 | 54 | 58 | 58 | 0 | 40 | 66 | 100.00 | 715,556$/1yrs | |
0 | ![]() | D | 6' 0" | 189 | 25 | 55 | 56 | 65 | 63 | 63 | 66 | 64 | 62 | 40 | 60 | 61 | 65 | 54 | 62 | 57 | 0 | 40 | 64 | 100.00 | 925,000$/1yrs | |
0 | ![]() | D | 6' 3" | 202 | 22 | 59 | 52 | 68 | 62 | 67 | 66 | 62 | 56 | 40 | 59 | 55 | 63 | 54 | 55 | 54 | 0 | 40 | 62 | 100.00 | 905,000$/3yrs | |
0 | ![]() | D | 6' 3" | 205 | 21 | 55 | 54 | 67 | 60 | 68 | 67 | 64 | 59 | 40 | 60 | 57 | 65 | 54 | 55 | 53 | 0 | 40 | 62 | 100.00 | 1,296,042$/3yrs | |
0 | ![]() | D | 6' 2" | 193 | 26 | 57 | 52 | 65 | 58 | 65 | 65 | 63 | 56 | 40 | 58 | 55 | 61 | 54 | 62 | 57 | 0 | 40 | 61 | 100.00 | 894,166$/1yrs | |
0 | ![]() | D | 6' 6" | 199 | 21 | 55 | 53 | 68 | 58 | 68 | 66 | 63 | 57 | 40 | 59 | 55 | 64 | 54 | 55 | 53 | 0 | 40 | 61 | 100.00 | 1,491,667$/3yrs | |
0 | ![]() | D | 6' 0" | 185 | 22 | 56 | 54 | 63 | 59 | 61 | 65 | 64 | 58 | 40 | 58 | 55 | 57 | 54 | 57 | 54 | 0 | 40 | 60 | 100.00 | 1,163,333$/2yrs | |
0 | ![]() | D | 6' 1" | 194 | 21 | 55 | 57 | 67 | 55 | 64 | 61 | 60 | 55 | 40 | 55 | 56 | 58 | 54 | 54 | 52 | 0 | 40 | 59 | 100.00 | 700,000$/2yrs | |
0 | ![]() | D | 6' 3" | 216 | 21 | 55 | 54 | 67 | 56 | 70 | 61 | 60 | 54 | 40 | 54 | 55 | 59 | 54 | 55 | 53 | 0 | 40 | 59 | 100.00 | 925,000$/3yrs |
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' 2" | 181 | 24 | 80 | 92 | 92 | 78 | 87 | 87 | 65 | 59 | 0 | 40 | 83 | 100.00 | 863,333$/1yrs | |||||||
0 | ![]() | 6' 4" | 201 | 35 | 77 | 77 | 78 | 83 | 82 | 89 | 76 | 64 | 0 | 40 | 77 | 100.00 | 3,666,667$/1yrs | |||||||
0 | ![]() | 6' 3" | 192 | 22 | 70 | 67 | 66 | 73 | 80 | 78 | 57 | 55 | 0 | 40 | 75 | 100.00 | 2,491,667$/2yrs | |||||||
0 | ![]() | 6' 2" | 221 | 38 | 68 | 70 | 68 | 74 | 78 | 74 | 82 | 68 | 0 | 40 | 74 | 100.00 | 1,100,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Hakstol | 72 | 77 | 76 | 77 | 80 | 75 | 69 | CAN | 55 | 1 | 525,000$ |
General Manager | Mathieu Meier |
---|
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 |
---|
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 | 50 |
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 Boqvist ![]() | D | 22 | 1,744,167$ | 1,744,167$ | |||||||
Adam Fox ![]() | D | 25 | 1,775,000$ | 1,775,000$ | |||||||
Alex Debrincat ![]() | RW | 25 | 894,166$ | 894,166$ | |||||||
Alex Vlasic ![]() | D | 21 | 1,491,667$ | 1,491,667$ | 1,491,667$ | 1,491,667$ | |||||
Alexander Edler ![]() | D | 37 | 3,500,000$ | 3,500,000$ | |||||||
Andrew Peeke ![]() | D | 25 | 1,491,667$ | 1,491,667$ | |||||||
Brett Leason ![]() | RW | 24 | 925,000$ | 925,000$ | |||||||
Brian Elliott ![]() | RW | 38 | 900,000$ | 900,000$ | 900,000$ | ||||||
Cam Talbot ![]() | RW | 35 | 3,666,667$ | 3,666,667$ | |||||||
Carter Hart ![]() | C | 24 | 863,333$ | 863,333$ | |||||||
Craig Smith ![]() | C | 33 | 3,100,000$ | 3,100,000$ | 3,100,000$ | ||||||
Daniel Walcott ![]() | C/LW | 29 | 700,000$ | 700,000$ | 700,000$ | ||||||
Donovan Sebrango ![]() | D | 21 | 700,000$ | 700,000$ | 700,000$ | ||||||
Dylan Coghlan ![]() | D | 25 | 715,556$ | 715,556$ | |||||||
Eeli Tolvanen ![]() | RW | 24 | 3,115,000$ | 3,115,000$ | |||||||
Eetu Luostarinen ![]() | C | 24 | 925,000$ | 925,000$ | |||||||
Egor Sokolov ![]() | LW | 22 | 850,000$ | 850,000$ | 850,000$ | ||||||
Erik Karlsson ![]() | D | 32 | 11,500,000$ | 11,500,000$ | |||||||
Filip Forsberg ![]() | LW | 28 | 6,000,000$ | 6,000,000$ | |||||||
Grigori Denisenko ![]() | LW | 22 | 1,775,000$ | 1,775,000$ | 1,775,000$ | ||||||
Isac Lundestrom ![]() | C | 23 | 925,000$ | 925,000$ | |||||||
Jack Drury ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Jack Eichel ![]() | C | 26 | 10,000,000$ | 10,000,000$ | |||||||
Jack McBain ![]() | C | 23 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | |||||
Jack Roslovic ![]() | C | 26 | 1,106,666$ | 1,106,666$ | |||||||
Jacob Larsson ![]() | D | 26 | 894,166$ | 894,166$ | |||||||
Jesperi Kotkaniemi ![]() | C | 22 | 3,425,000$ | 3,425,000$ | |||||||
Kaedan Korczak ![]() | D | 22 | 905,000$ | 905,000$ | 905,000$ | 905,000$ | |||||
Klim Kostin ![]() | C | 24 | 1,075,833$ | 1,075,833$ | |||||||
Lars Eller ![]() | C | 34 | 3,500,000$ | 3,500,000$ | |||||||
Liam Foudy ![]() | C | 23 | 1,269,167$ | 1,269,167$ | 1,269,167$ | ||||||
Lucas Carlsson ![]() | D | 25 | 925,000$ | 925,000$ | |||||||
Matthew Strome ![]() | C/LW | 24 | 879,167$ | 879,167$ | |||||||
Mattias Samuelsson ![]() | D | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Michael Vukojevic ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Michal Teply ![]() | RW | 21 | 919,167$ | 919,167$ | 919,167$ | ||||||
Mike Hardman ![]() | LW | 24 | 925,000$ | 925,000$ | |||||||
Mikhail Sergachev ![]() | D | 24 | 1,744,166$ | 1,744,166$ | |||||||
Nicholas Robertson ![]() | LW | 21 | 796,667$ | 796,667$ | 796,667$ | 796,667$ | |||||
Noah Gregor ![]() | C | 24 | 850,000$ | 850,000$ | |||||||
Phil Kessel ![]() | C/RW | 35 | 8,000,000$ | 8,000,000$ | |||||||
Ryan Merkley ![]() | D | 22 | 1,163,333$ | 1,163,333$ | 1,163,333$ | ||||||
Simon Holmstrom ![]() | RW | 21 | 925,000$ | 925,000$ | |||||||
Spencer Knight ![]() | C | 22 | 2,491,667$ | 2,491,667$ | 2,491,667$ | ||||||
Thomas Harley ![]() | D | 21 | 1,288,333$ | 1,288,333$ | 1,288,333$ | 1,288,333$ | |||||
Tim Gettinger ![]() | C | 25 | 730,000$ | 730,000$ | |||||||
Tim Stutzle ![]() | LW | 21 | 3,425,000$ | 3,425,000$ | 3,425,000$ | ||||||
Timo Meier ![]() | RW | 26 | 6,000,000$ | 6,000,000$ | |||||||
Travis Sanheim ![]() | D | 27 | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||||
Tyce Thompson ![]() | RW | 23 | 1,125,000$ | 1,125,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Goalies | |||||||
---|---|---|---|---|---|---|---|
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 |
109,295,555$ | 0$ | 0$ | 91,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | KeyBank Center | |
City | Seattle | ||
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 |
109,295,555$ | 109,503,264$ | 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$ |
FOWARD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
---|---|---|---|---|---|
Aiden Hreschuk | |||||
Amir Miftakhov | |||||
Anton Johannesson | |||||
Artemi Kniazev | |||||
Ayrton Martino | |||||
Brock Faber | |||||
Carter Savoie | |||||
Colton Dach | |||||
Ethan Del Mastro | |||||
Filip Hallander | |||||
Helge Grans | |||||
Kirill Gerasimyuk | |||||
Matthew Robertson | |||||
Nikola Pasic | |||||
Robert Orr | |||||
Samuel Helenius | |||||
Scott Morrow | |||||
Tuuka Tieksola | |||||
Wyatt Johnston | |||||
Zachary L'Heureux | |||||
Zion Nybeck |
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 |
---|---|---|---|---|---|
Aiden Hreschuk | |||||
Amir Miftakhov | |||||
Anton Johannesson | |||||
Artemi Kniazev | |||||
Ayrton Martino | |||||
Brock Faber | |||||
Carter Savoie | |||||
Colton Dach | |||||
Ethan Del Mastro | |||||
Filip Hallander | |||||
Helge Grans | |||||
Kirill Gerasimyuk | |||||
Matthew Robertson | |||||
Nikola Pasic | |||||
Robert Orr | |||||
Samuel Helenius | |||||
Scott Morrow | |||||
Tuuka Tieksola | |||||
Wyatt Johnston | |||||
Zachary L'Heureux | |||||
Zion Nybeck |