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Seattle Kraken 2-0-0, 4pts · 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 | LW/RW | 100.00 | 70 | 34 | 88 | 74 | 91 | 86 | 88 | 72 | 60 | 68 | 81 | 69 | 76 | 83 | 82 | 0 | 50 | 84 | 34 | 6,750,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 33 | 93 | 75 | 78 | 84 | 89 | 72 | 60 | 68 | 80 | 56 | 76 | 81 | 80 | 0 | 46 | 82 | 33 | 5,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 55 | 38 | 72 | 68 | 80 | 85 | 73 | 67 | 94 | 68 | 73 | 69 | 70 | 87 | 99 | 0 | 43 | 80 | 37 | 3,750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 68 | 38 | 67 | 68 | 76 | 82 | 87 | 66 | 80 | 67 | 70 | 68 | 68 | 77 | 73 | 0 | 46 | 78 | 31 | 4,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 61 | 32 | 89 | 69 | 70 | 82 | 83 | 66 | 61 | 68 | 70 | 55 | 68 | 64 | 63 | 0 | 50 | 76 | 24 | 3,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 64 | 31 | 92 | 70 | 62 | 81 | 81 | 66 | 61 | 69 | 68 | 56 | 67 | 62 | 61 | 0 | 48 | 76 | 22 | 814,167$/9yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 33 | 89 | 61 | 80 | 82 | 89 | 63 | 60 | 65 | 65 | 66 | 64 | 74 | 73 | 0 | 41 | 75 | 29 | 2,250,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 80 | 33 | 95 | 66 | 81 | 77 | 70 | 62 | 58 | 55 | 76 | 58 | 69 | 64 | 63 | 0 | 51 | 75 | 23 | 3,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 40 | 62 | 61 | 78 | 77 | 82 | 61 | 58 | 63 | 62 | 68 | 62 | 75 | 71 | 0 | 42 | 74 | 30 | 2,500,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 34 | 92 | 65 | 70 | 77 | 81 | 62 | 57 | 66 | 66 | 55 | 64 | 64 | 63 | 0 | 50 | 74 | 24 | 1,850,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 93 | 66 | 57 | 56 | 82 | 75 | 84 | 58 | 59 | 58 | 62 | 59 | 60 | 71 | 67 | 0 | 45 | 71 | 28 | 2,500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 62 | 32 | 96 | 58 | 66 | 76 | 75 | 54 | 59 | 57 | 58 | 74 | 56 | 64 | 63 | 0 | 46 | 70 | 23 | 1,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 33 | 80 | 66 | 82 | 98 | 82 | 67 | 30 | 74 | 67 | 74 | 67 | 85 | 83 | 0 | 50 | 83 | 35 | 11,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 35 | 81 | 65 | 87 | 92 | 87 | 65 | 30 | 73 | 65 | 75 | 65 | 84 | 82 | 0 | 33 | 82 | 35 | 7,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 64 | 34 | 92 | 65 | 79 | 86 | 89 | 61 | 30 | 72 | 60 | 60 | 60 | 74 | 73 | 0 | 46 | 78 | 29 | 1,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 34 | 89 | 64 | 87 | 87 | 83 | 58 | 30 | 69 | 59 | 63 | 58 | 65 | 64 | 0 | 50 | 76 | 24 | 6,000,000$/8yrs | |||
![]() | 0 | D | 100.00 | 74 | 45 | 76 | 55 | 85 | 85 | 79 | 58 | 30 | 61 | 54 | 75 | 56 | 81 | 78 | 0 | 47 | 75 | 33 | 2,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 32 | 80 | 56 | 75 | 86 | 90 | 59 | 30 | 63 | 61 | 71 | 60 | 76 | 74 | 0 | 45 | 75 | 30 | 4,000,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 89 | 72 | 61 | 55 | 85 | 69 | 79 | 53 | 59 | 54 | 55 | 59 | 54 | 82 | 78 | 0 | 38 | 69 | 34 | 1,750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 79 | 32 | 96 | 55 | 73 | 72 | 69 | 52 | 55 | 57 | 50 | 55 | 51 | 61 | 61 | 0 | 44 | 66 | 22 | 863,333$/1yrs | |||
![]() | 46 | LW/RW | 100.00 | 55 | 30 | 99 | 58 | 72 | 56 | 60 | 56 | 51 | 42 | 42 | 55 | 50 | 71 | 63 | 0 | 44 | 62 | 27 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 70 | 39 | 89 | 52 | 79 | 70 | 60 | 51 | 58 | 45 | 46 | 55 | 53 | 65 | 67 | 0 | 39 | 62 | 28 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 32 | 87 | 57 | 73 | 80 | 80 | 54 | 30 | 65 | 54 | 52 | 54 | 66 | 64 | 0 | 44 | 71 | 25 | 1,275,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 69 | 37 | 84 | 63 | 78 | 80 | 80 | 61 | 52 | 63 | 63 | 63 | 62 | 73 | 72 | 0 | 45 | 75 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 83 | 95 | 82 | 87 | 88 | 79 | 89 | 93 | 89 | 93 | 89 | 73 | 78 | 0 | 48 | 91 | 28 | 3,150,000$/2yrs |
![]() | 0 | 100.00 | 74 | 78 | 73 | 87 | 81 | 74 | 83 | 87 | 83 | 86 | 83 | 91 | 95 | 0 | 48 | 86 | 39 | 2,500,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 87 | 78 | 87 | 85 | 77 | 86 | 90 | 86 | 90 | 86 | 82 | 87 | 0 | 48 | 89 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Hakstol | 85 | 84 | 85 | 92 | 77 | 71 | 67 | CAN | 55 | 4 | 1,000,000$ |
General Manager | Maxim Grimard |
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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 | Mattias Ekholm | 0 | D | 3 | 2 | 2 | 4 | 1 | 2 | 0 | 3 | 2 | 1 | 6 | 100.00% | 14 | 23.03 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.16 | 0 | 0 | |
2 | Chris Kreider | 0 | LW/RW | 2 | 1 | 1 | 2 | 1 | 0 | 0 | 5 | 14 | 1 | 11 | 7.14% | 0 | 18.87 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 1.06 | 0 | 0 | |
3 | Drew Doughty | 0 | D | 2 | 0 | 2 | 2 | 1 | 0 | 0 | 6 | 4 | 4 | 8 | 0.00% | 7 | 23.51 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
4 | Logan Stankoven | 0 | C | 2 | 0 | 2 | 2 | 1 | 0 | 0 | 2 | 9 | 3 | 2 | 0.00% | 0 | 19.46 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 47.06% | 51 | 0 | 0 | 0 | 0 | 1.03 | 0 | 0 | |
5 | Darren Raddysh | 0 | D | 2 | 0 | 1 | 1 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 14.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
6 | Mason Appleton | 0 | C/RW | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 1 | 0.00% | 0 | 10.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 61.11% | 36 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | |
7 | Jonathan Toews | 0 | C | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 7 | 2 | 5 | 14.29% | 1 | 15.17 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 65.96% | 47 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
8 | Miles Wood | 0 | LW/RW | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 1 | 2 | 20.00% | 0 | 8.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.22 | 0 | 0 | |
9 | Philip Tomasino | 0 | C/LW/RW | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 6 | 1 | 3 | 0.00% | 0 | 16.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
10 | Connor Zary | 0 | C | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 6 | 0 | 4 | 16.67% | 1 | 19.52 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 49 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
11 | Mikael Pyyhtia | 0 | LW | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 5 | 1 | 4 | 0.00% | 1 | 8.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
12 | Mason Lohrei | 0 | D | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 6 | 0.00% | 2 | 22.71 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
13 | Sam Colangelo | 0 | RW | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 1 | 3 | 25.00% | 0 | 13.97 | 1 | 0 | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
14 | Derek Forbort | 0 | D | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 4 | 2 | 1 | 2 | 0.00% | 3 | 16.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Sean Walker | 0 | D | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 0 | 0 | 0 | 0.00% | 5 | 17.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Ryan Hartman | 0 | C/RW | 2 | 0 | 0 | 0 | 1 | 7 | 5 | 9 | 7 | 3 | 2 | 0.00% | 0 | 18.65 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Tyler Toffoli | 0 | LW/RW | 2 | 0 | 0 | 0 | 1 | 4 | 0 | 3 | 7 | 1 | 5 | 0.00% | 0 | 18.85 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Tanner Jeannot | 0 | LW/RW | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | 0 | 0 | 0.00% | 0 | 9.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 38 | 7 | 12 | 19 | 16 | 15 | 5 | 50 | 87 | 24 | 64 | 8.05% | 34 | 16.40 | 1 | 2 | 3 | 74 | 0 | 0 | 0 | 37 | 2 | 0 | 53.89% | 193 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sam Montembeault | 2 | 2 | 0 | 0 | 0.947 | 1.50 | 120 | 0 | 0 | 3 | 57 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 1 | 0 | 0 | |
Team Total or Average | 2 | 2 | 0 | 0 | 0.947 | 1.50 | 120 | 0 | 0 | 3 | 57 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 1 | 0 | 0 |
Projected Total Cap Hit | 80,783,162$ |
Projected Cap Space | 14,716,838$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 2,505,806$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Kraken Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brennan Othmann ![]() | LW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Chris Kreider ![]() | LW/RW | 34 | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | |||||
Connor Zary ![]() | C | 24 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Darren Raddysh ![]() | D | 29 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Derek Forbort ![]() | D | 33 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Drew Doughty ![]() | D | 35 | 11,000,000$ | 11,000,000$ | UFA | ||||||
Jonathan Quick | G | 39 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Jonathan Toews ![]() | C | 37 | 3,750,000$ | 3,750,000$ | UFA | ||||||
Logan Stankoven ![]() | C | 22 | 814,167$ | 814,167$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ |
Mason Appleton ![]() | C/RW | 29 | 2,250,000$ | 2,250,000$ | UFA | ||||||
Mason Lohrei ![]() | D | 24 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ |
Mattias Ekholm ![]() | D | 35 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Mikael Pyyhtia ![]() | LW | 23 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Miles Wood ![]() | LW/RW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Nicolas Deslauriers ![]() | LW/RW | 34 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Nils Lundkvist ![]() | D | 25 | 1,275,000$ | 1,275,000$ | 1,275,000$ | ||||||
Patrick Bajkov ![]() | LW/RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Philip Tomasino ![]() | C/LW/RW | 24 | 1,850,000$ | 1,850,000$ | RFA | ||||||
Ryan Hartman ![]() | C/RW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Sam Colangelo ![]() | RW | 23 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Sam Montembeault ![]() | G | 28 | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |||||
Sean Walker ![]() | D | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Tanner Jeannot ![]() | LW/RW | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Ty Pelton-Byce ![]() | C | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Tyler Toffoli ![]() | LW/RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman ![]() | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Aidan Dudas ![]() | LW | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Ben Meyers ![]() | C | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Coulson Pitre ![]() | C/RW | 20 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Dylan Garand ![]() | G | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Ethan Samson ![]() | D | 22 | 846,667$ | 846,667$ | RFA | ||||||
Isaac Howard ![]() | LW/RW | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Ivan Fedotov ![]() | G | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Jared McIsaac ![]() | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | ||||
Jon-Randall Avon ![]() | C | 22 | 800,000$ | 800,000$ | RFA | ||||||
Maksymilian Szuber ![]() | D | 23 | 859,167$ | 859,167$ | RFA | ||||||
Martin Chromiak ![]() | RW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Mike Hardman ![]() | LW/RW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Ondrej Becher ![]() | C | 21 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Oskar Steen ![]() | C/RW | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Otto Stenberg ![]() | C/LW/RW | 20 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Owen Allard ![]() | C/LW | 21 | 869,167$ | 869,167$ | 869,167$ | 869,167$ | RFA | ||||
Ruslan Khazheyev ![]() | G | 20 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Ryan Chesley ![]() | D | 21 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | ||||
Samuel Fagemo ![]() | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Stian Solberg ![]() | D | 19 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Tarmo Reunanen ![]() | D | 27 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Taylor Gauthier ![]() | G | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Tobie Bisson ![]() | D | 28 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Topi Niemela ![]() | D | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Tyler Madden ![]() | C | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Wyatte Wylie ![]() | D | 25 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | ![]() | ||||
Xavier Bernard ![]() | D | 25 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | ![]() | ||||
Xavier Simoneau ![]() | C/LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() |
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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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 42 | 14 | 14 | 14 | 0 | 37 | 19 | 13 | 18 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 53 | 96 | 55.21% | 33 | 62 | 53.23% | 18 | 35 | 51.43% | 23 | 16 | 22 | 6 | 13 | 7 | 66.7% | 4.8% | 97.3% | 102.1 | DULL | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 42 | 14 | 12 | 16 | 0 | 20 | 9 | 2 | 32 | 7 | 1 | 14.29% | 1 | 1 | 0.00% | 0 | 53 | 96 | 55.21% | 33 | 62 | 53.23% | 18 | 35 | 51.43% | 26 | 18 | 21 | 6 | 12 | 6 | 75.0% | 9.5% | 90.0% | 99.5 | FUN | |
_Vs Division | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 84 | 28 | 26 | 30 | 0 | 57 | 28 | 15 | 50 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 53 | 96 | 55.21% | 33 | 62 | 53.23% | 18 | 35 | 51.43% | 50 | 34 | 43 | 13 | 25 | 13 | 71.4% | 7.1% | 94.7% | 101.9 | DULL | |
_Vs Conference | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 84 | 28 | 26 | 30 | 0 | 57 | 28 | 15 | 50 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 53 | 96 | 55.21% | 33 | 62 | 53.23% | 18 | 35 | 51.43% | 50 | 34 | 43 | 13 | 25 | 13 | 71.4% | 7.1% | 94.7% | 101.9 | DULL | |
_Since Last GM Reset | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 84 | 28 | 26 | 30 | 0 | 57 | 28 | 15 | 50 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 53 | 96 | 55.21% | 33 | 62 | 53.23% | 18 | 35 | 51.43% | 50 | 34 | 43 | 13 | 25 | 13 | 71.4% | 7.1% | 94.7% | 101.9 | DULL | |
Total | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 84 | 28 | 26 | 30 | 0 | 57 | 28 | 15 | 50 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 53 | 96 | 55.21% | 33 | 62 | 53.23% | 18 | 35 | 51.43% | 50 | 34 | 43 | 13 | 25 | 13 | 71.4% | 7.1% | 94.7% | 101.9 | DULL |
Puck Time | |
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Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 21 |
Puck Time | |
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Offensive Zone Start | 96 |
Neutral Zone Start | 35 |
Defensive Zone Start | 62 |
Puck Time | |
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With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
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Faceoffs Won | 104 |
Faceoffs Lost | 89 |
Team Average Shots after | League Average Shots after | |
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1st Period | 14.0 | 9.57 |
2nd Period | 27.0 | 20.31 |
3rd Period | 42.0 | 30.68 |
Overtime | 42.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
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1st Period | 1.5 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 5 |
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PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 2 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 8 |
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PP Goal | 1 |
PK Attempt | 5 |
PK Goal Against | 1 |
Home | |
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Shots For | 42.0 |
Shots Against | 28.5 |
Goals For | 3.0 |
Goals Against | 1.5 |
Hits | 25.0 |
Shots Blocked | 14.0 |
Pim | 7.5 |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,802,500$ | 0$ | 80,783,162$ | 14,697,500$ |
Arena | Goal Horn | About us | |
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![]() | Name | Climate Pledge Arena | |
City | Seattle | ||
Capacity | 21500 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 7000 | 6000 | 2500 | 5000 | 1000 |
Ticket Price | 200$ | 110$ | 70$ | 50$ | 500$ |
Attendance | 5600 | 4800 | 2000 | 4000 | 800 |
Attendance PCT | 40.00% | 40.00% | 40.00% | 40.00% | 40.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 8600 - 40.00% | 1,552,200$ | 3,104,400$ | 21500 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,802,500$ | 80,802,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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2,537,059$ | 420,846$ | 2,505,806$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
60,535,800$ | 186 | 426,055$ | 79,246,230$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
81,899,382$ | 80,802,500$ | 46,691,318$ | 25,327,736$ |
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 | Ronde 8 |
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2026 | ||||||||
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2030 |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aaron Pionk | 2023 | 169 | |||
Aku Koskenvuo | 2021 | 131 | |||
Brandon Svoboda | 2023 | 92 | |||
Cal Thomas | 2021 | 195 | |||
Cameron O'Neill | 2022 | 160 | |||
Cole Knuble | 2023 | 111 | |||
EJ Emery | 2024 | 52 | |||
Emmett Croteau | 2022 | 141 | |||
Ilya Safonov | 2021 | 159 | |||
Jack Bar | 2021 | 125 | |||
Jake Richard | 2022 | 177 | |||
Kasper Simontaival | 2020 | 45 | |||
Luca Romano | 2025 | 57 | |||
Luke Mittelstadt | 2023 | 141 | |||
Milton Oscarson | 2023 | 156 | |||
Owen Mehlenbacher | 2022 | 170 | |||
Samu Bau | 2023 | 154 | |||
Taylor Makar | 2021 | 174 | |||
Veeti Vaisanen | 2024 | 58 | |||
Vojtech Port | 2023 | 187 | |||
William Zellers | 2024 | 91 |
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