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Full Scoreboard »» |
Seattle Kraken 26-23-4, 56pts · 9th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 67 | 34 | 79 | 72 | 72 | 85 | 90 | 74 | 85 | 76 | 76 | 57 | 75 | 82 | 80 | 0 | 51 | 83 | 34 | 5,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 55 | 32 | 95 | 75 | 74 | 81 | 89 | 75 | 60 | 72 | 80 | 54 | 77 | 73 | 72 | 0 | 51 | 82 | 29 | 5,500,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 67 | 36 | 59 | 72 | 76 | 83 | 86 | 70 | 79 | 70 | 73 | 74 | 71 | 76 | 72 | 0 | 51 | 81 | 30 | 4,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 33 | 84 | 71 | 75 | 82 | 88 | 70 | 59 | 66 | 76 | 62 | 73 | 74 | 72 | 0 | 73 | 79 | 29 | 4,250,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 60 | 33 | 93 | 65 | 77 | 82 | 87 | 66 | 59 | 67 | 66 | 72 | 66 | 77 | 85 | 0 | 53 | 78 | 31 | 4,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 66 | 31 | 94 | 72 | 62 | 80 | 69 | 70 | 62 | 70 | 71 | 60 | 70 | 61 | 60 | 0 | 51 | 78 | 21 | 814,167$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 32 | 80 | 65 | 71 | 78 | 80 | 67 | 62 | 65 | 72 | 57 | 69 | 73 | 71 | 0 | 47 | 77 | 29 | 4,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 33 | 90 | 62 | 77 | 82 | 84 | 66 | 59 | 67 | 65 | 70 | 65 | 73 | 72 | 0 | 51 | 77 | 29 | 2,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 60 | 32 | 87 | 70 | 70 | 81 | 75 | 68 | 61 | 69 | 69 | 57 | 69 | 63 | 62 | 0 | 55 | 77 | 23 | 863,333$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 73 | 39 | 71 | 60 | 71 | 73 | 88 | 69 | 82 | 63 | 64 | 72 | 64 | 79 | 76 | 0 | 42 | 76 | 34 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 72 | 38 | 66 | 62 | 78 | 77 | 88 | 63 | 58 | 64 | 64 | 61 | 64 | 73 | 70 | 0 | 33 | 74 | 29 | 2,500,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 94 | 68 | 53 | 56 | 82 | 78 | 85 | 60 | 59 | 61 | 61 | 69 | 60 | 70 | 66 | 0 | 51 | 73 | 27 | 2,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 72 | 33 | 83 | 67 | 82 | 99 | 90 | 67 | 30 | 76 | 65 | 69 | 66 | 84 | 96 | 0 | 54 | 84 | 35 | 11,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 33 | 86 | 63 | 81 | 88 | 88 | 63 | 30 | 70 | 60 | 69 | 62 | 81 | 79 | 0 | 51 | 79 | 33 | 6,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 66 | 36 | 91 | 63 | 79 | 87 | 90 | 63 | 30 | 70 | 59 | 66 | 61 | 73 | 72 | 0 | 66 | 78 | 28 | 1,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 82 | 33 | 92 | 64 | 77 | 86 | 70 | 65 | 30 | 68 | 55 | 72 | 60 | 65 | 64 | 0 | 41 | 78 | 24 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 33 | 88 | 55 | 80 | 88 | 90 | 61 | 30 | 65 | 55 | 70 | 58 | 92 | 91 | 0 | 54 | 77 | 40 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 32 | 80 | 56 | 75 | 84 | 88 | 59 | 30 | 63 | 60 | 67 | 60 | 75 | 73 | 0 | 48 | 74 | 30 | 4,000,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 71 | 32 | 79 | 55 | 72 | 78 | 82 | 56 | 30 | 63 | 55 | 58 | 56 | 68 | 66 | 0 | 38 | 71 | 26 | 900,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 70 | 35 | 82 | 64 | 75 | 83 | 85 | 66 | 52 | 68 | 66 | 65 | 66 | 74 | 74 | 0 | 51 | 78 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 83 | 88 | 78 | 87 | 79 | 69 | 82 | 87 | 80 | 86 | 82 | 72 | 76 | 0 | 47 | 85 | 28 | 3,150,000$/3yrs |
![]() | 0 | 99.00 | 75 | 84 | 71 | 68 | 81 | 75 | 74 | 75 | 75 | 75 | 75 | 60 | 62 | 0 | 38 | 78 | 22 | 828,333$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 96.00 | 87 | 89 | 78 | 76 | 82 | 72 | 82 | 87 | 77 | 88 | 82 | 73 | 77 | 0 | 49 | 85 | 29 | 3,400,000$/1yrs |
TEAM AVERAGE | 98.33 | 82 | 87 | 76 | 77 | 81 | 72 | 79 | 83 | 77 | 83 | 80 | 68 | 72 | 0 | 45 | 83 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Hakstol | 85 | 84 | 85 | 92 | 77 | 71 | 67 | CAN | 54 | 5 | 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 | Nazem Kadri | 0 | C | 53 | 11 | 29 | 40 | -8 | 30 | 0 | 132 | 145 | 50 | 120 | 7.59% | 7 | 20.51 | 2 | 8 | 10 | 205 | 0 | 0 | 0 | 77 | 3 | 0 | 49.82% | 1391 | 0 | 0 | 0 | 0 | 0.74 | 0 | 1 | |
2 | Ryan Hartman | 0 | C/RW | 53 | 17 | 21 | 38 | 0 | 26 | 0 | 140 | 177 | 45 | 116 | 9.60% | 7 | 17.26 | 2 | 10 | 12 | 172 | 0 | 0 | 0 | 0 | 4 | 2 | 53.27% | 199 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
3 | Andrei Kuzmenko | 0 | LW | 53 | 17 | 17 | 34 | -6 | 2 | 0 | 19 | 146 | 36 | 99 | 11.64% | 8 | 19.25 | 0 | 4 | 4 | 165 | 0 | 0 | 0 | 30 | 2 | 2 | 41.32% | 121 | 0 | 0 | 1 | 0 | 0.67 | 0 | 2 | |
4 | Logan Stankoven | 0 | C | 53 | 16 | 15 | 31 | -2 | 16 | 0 | 45 | 147 | 31 | 92 | 10.88% | 6 | 18.42 | 4 | 3 | 7 | 172 | 0 | 0 | 0 | 0 | 3 | 0 | 40.68% | 1229 | 0 | 0 | 0 | 0 | 0.63 | 1 | 2 | |
5 | Alex Iafallo | 0 | C/LW | 53 | 11 | 19 | 30 | 9 | 6 | 0 | 28 | 153 | 51 | 119 | 7.19% | 16 | 18.87 | 0 | 3 | 3 | 140 | 0 | 0 | 0 | 67 | 5 | 0 | 42.94% | 177 | 0 | 0 | 0 | 0 | 0.60 | 0 | 1 | |
6 | Drew Doughty | 0 | D | 53 | 5 | 22 | 27 | -7 | 59 | 5 | 125 | 90 | 28 | 58 | 5.56% | 99 | 24.27 | 3 | 5 | 8 | 176 | 0 | 0 | 0 | 142 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
7 | Dmitry Orlov | 0 | D | 53 | 10 | 16 | 26 | -16 | 50 | 0 | 95 | 80 | 28 | 37 | 12.50% | 90 | 22.23 | 6 | 6 | 12 | 175 | 0 | 0 | 0 | 150 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
8 | Sean Walker | 0 | D | 53 | 5 | 16 | 21 | 8 | 43 | 5 | 65 | 51 | 18 | 31 | 9.80% | 78 | 19.59 | 2 | 0 | 2 | 169 | 0 | 0 | 0 | 169 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
9 | Miles Wood | 0 | LW/RW | 51 | 9 | 11 | 20 | -9 | 45 | 5 | 84 | 85 | 21 | 49 | 10.59% | 2 | 13.61 | 2 | 3 | 5 | 45 | 0 | 0 | 0 | 37 | 2 | 0 | 52.00% | 50 | 0 | 0 | 1 | 0 | 0.58 | 0 | 0 | |
10 | Connor Zary | 0 | C | 51 | 5 | 15 | 20 | 5 | 4 | 0 | 26 | 92 | 29 | 69 | 5.43% | 10 | 14.85 | 2 | 5 | 7 | 97 | 0 | 0 | 0 | 57 | 2 | 0 | 41.15% | 452 | 0 | 0 | 0 | 0 | 0.53 | 0 | 1 | |
11 | Ryan Suter | 0 | D | 53 | 3 | 10 | 13 | -10 | 40 | 10 | 51 | 33 | 17 | 24 | 9.09% | 72 | 17.75 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 111 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
12 | Mason Appleton | 0 | C/RW | 53 | 7 | 5 | 12 | 6 | 2 | 0 | 5 | 50 | 17 | 32 | 14.00% | 21 | 9.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 215 | 1 | 0 | 39.97% | 658 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
13 | Anthony Duclair | 0 | LW/RW | 53 | 8 | 3 | 11 | -2 | 17 | 5 | 23 | 88 | 28 | 72 | 9.09% | 5 | 10.06 | 1 | 0 | 1 | 7 | 0 | 0 | 0 | 15 | 3 | 1 | 40.48% | 42 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
14 | Robby Fabbri | 0 | C/LW | 54 | 4 | 7 | 11 | -9 | 26 | 0 | 46 | 67 | 25 | 53 | 5.97% | 2 | 12.68 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 37 | 0 | 0 | 41.44% | 724 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
15 | Darren Raddysh | 0 | D | 53 | 0 | 10 | 10 | -8 | 42 | 10 | 54 | 51 | 22 | 33 | 0.00% | 70 | 20.58 | 0 | 5 | 5 | 151 | 0 | 0 | 0 | 46 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
16 | Tanner Jeannot | 0 | LW/RW | 53 | 3 | 6 | 9 | -4 | 20 | 0 | 96 | 45 | 8 | 43 | 6.67% | 9 | 11.32 | 2 | 1 | 3 | 68 | 0 | 0 | 0 | 200 | 1 | 0 | 49.12% | 57 | 0 | 0 | 0 | 0 | 0.30 | 0 | 2 | |
17 | Andrew Agozzino | 0 | C/LW | 26 | 3 | 5 | 8 | 8 | 5 | 5 | 6 | 13 | 5 | 10 | 23.08% | 1 | 5.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 54.84% | 62 | 0 | 0 | 0 | 0 | 1.19 | 0 | 0 | |
18 | Ty Emberson | 0 | D | 16 | 0 | 6 | 6 | 0 | 14 | 0 | 24 | 3 | 2 | 3 | 0.00% | 16 | 12.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
Team Total or Average | 887 | 134 | 233 | 367 | -45 | 447 | 45 | 1064 | 1516 | 461 | 1060 | 8.84% | 519 | 16.50 | 26 | 54 | 80 | 1783 | 0 | 0 | 0 | 1366 | 28 | 7 | 44.15% | 5162 | 0 | 0 | 2 | 0 | 0.50 | 1 | 9 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sam Montembeault | 28 | 13 | 11 | 2 | 0.912 | 2.81 | 1583 | 2 | 3 | 74 | 842 | 0 | 0 | 2 | 0.667 | 3 | 27 | 26 | 4 | 4 | 0 | |
2 | Vitek Vanecek | 29 | 13 | 12 | 2 | 0.914 | 2.91 | 1611 | 6 | 2 | 78 | 903 | 0 | 0 | 2 | 0.500 | 4 | 26 | 17 | 3 | 0 | 2 | |
Team Total or Average | 57 | 26 | 23 | 4 | 0.913 | 2.85 | 3195 | 8 | 5 | 152 | 1745 | 0 | 0 | 4 | 0.571 | 7 | 53 | 43 | 7 | 4 | 2 |
Projected Total Cap Hit | 76,583,645$ |
Projected Cap Space | 11,416,355$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 48,657,320$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Kraken Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Iafallo ![]() | C/LW | 31 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Andrei Kuzmenko ![]() | LW | 29 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Andrew Agozzino ![]() | C/LW | 34 | 775,000$ | 775,000$ | UFA | ||||||
Anthony Duclair ![]() | LW/RW | 29 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | ||
Connor Zary ![]() | C | 23 | 863,333$ | 863,333$ | RFA | ||||||
Darren Raddysh ![]() | D | 28 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||||
Dmitry Orlov ![]() | D | 33 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
Drew Doughty ![]() | D | 35 | 11,000,000$ | 11,000,000$ | 11,000,000$ | UFA | |||||
Dylan Garand ![]() | G | 22 | 828,333$ | 828,333$ | RFA | ||||||
Josh Mahura ![]() | D | 26 | 900,000$ | 900,000$ | |||||||
Logan Stankoven ![]() | C | 21 | 814,167$ | 814,167$ | 814,167$ | RFA | |||||
Mason Appleton ![]() | C/RW | 29 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Miles Wood ![]() | LW/RW | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||
Nazem Kadri ![]() | C | 34 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Robby Fabbri ![]() | C/LW | 29 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Ryan Hartman ![]() | C/RW | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Ryan Suter ![]() | D | 40 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Sam Montembeault ![]() | G | 28 | 3,150,000$ | 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$ | 4,000,000$ | UFA | |||
Tanner Jeannot ![]() | LW/RW | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Ty Emberson ![]() | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Vitek Vanecek | G | 29 | 3,400,000$ | 3,400,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman ![]() | LW | 23 | 900,000$ | 900,000$ | RFA | ||||||
Aidan Dudas ![]() | LW | 24 | 800,000$ | 800,000$ | ![]() | ||||||
Ben Meyers ![]() | C | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Brendan Gaunce ![]() | C/LW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Cameron Hebig ![]() | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Colin Theisen ![]() | LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Drew Callin ![]() | RW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Ethan Samson ![]() | D | 21 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Hudson Elynuik ![]() | C | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Ivan Fedotov ![]() | G | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Jared McIsaac ![]() | D | 24 | 850,000$ | 850,000$ | ![]() | ||||||
Jimmy Schuldt ![]() | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Jon-Randall Avon ![]() | C | 21 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Josef Korenar ![]() | G | 27 | 0$ | ![]() | |||||||
Maksymilian Szuber ![]() | D | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Martin Chromiak ![]() | RW | 22 | 820,000$ | 820,000$ | RFA | ||||||
Mason Geertsen ![]() | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Matt Filipe ![]() | C/LW | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Mike Hardman ![]() ![]() | LW/RW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Nils Lundkvist ![]() | D | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Oskar Steen ![]() | C/RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Patrick Khodorenko ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Peter Abbandonato ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Samuel Fagemo ![]() | LW | 24 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Simon Ryfors ![]() | C | 27 | 0$ | ![]() | |||||||
Tarmo Reunanen ![]() | D | 26 | 0$ | ![]() | |||||||
Taylor Gauthier ![]() | G | 24 | 859,167$ | 859,167$ | RFA | ||||||
Tyler Madden ![]() | C | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Tyler Pitlick ![]() | LW/RW | 33 | 775,000$ | 775,000$ | UFA | ||||||
Wyatte Wylie ![]() | D | 25 | 825,000$ | 825,000$ | ![]() | ||||||
Xavier Bernard ![]() | D | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Zach Senyshyn ![]() | RW | 27 | 0$ | UFA |
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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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 34 | 12 | 10 | 12 | 0 | 31 | 5 | 6 | 18 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 25 | 17 | 20 | 6 | 13 | 6 | 33.3% | 5.9% | 90.3% | 96.2 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 7 | 9 | 5 | 0 | 30 | 12 | 6 | 18 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 20 | 13 | 26 | 8 | 12 | 6 | 0.0% | 0.0% | 83.3% | 83.3 | Unlucky | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 2 | 5 | 3 | 0 | 80 | 27 | 23 | 30 | 0 | 88 | 23 | 13 | 55 | 10 | 3 | 30.00% | 6 | 2 | 66.67% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 46 | 32 | 49 | 14 | 24 | 11 | 70.0% | 12.5% | 94.3% | 106.8 | LUCKY | |
4 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 8 | -5 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 66 | 27 | 13 | 21 | 5 | 49 | 17 | 10 | 44 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 47 | 33 | 49 | 13 | 26 | 12 | 20.0% | 4.5% | 83.7% | 88.2 | Unlucky | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 4 | 3 | 2 | 0 | 56 | 16 | 17 | 23 | 0 | 52 | 15 | 10 | 45 | 11 | 1 | 9.09% | 3 | 1 | 66.67% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 49 | 35 | 44 | 14 | 26 | 13 | 61.5% | 16.1% | 88.5% | 104.5 | FUN | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 3 | 0 | 1 | 0 | 66 | 22 | 26 | 18 | 0 | 77 | 23 | 36 | 28 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 44 | 31 | 50 | 14 | 24 | 11 | 22.2% | 6.1% | 89.6% | 95.7 | Unlucky | |
7 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.333 | 8 | 15 | 23 | 1 | 0 | 1 | 3 | 4 | 0 | 101 | 26 | 32 | 43 | 0 | 90 | 34 | 25 | 57 | 14 | 2 | 14.29% | 7 | 0 | 100.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 71 | 52 | 72 | 21 | 35 | 17 | 40.0% | 7.9% | 90.0% | 97.9 | Unlucky | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 56 | 17 | 15 | 24 | 0 | 51 | 18 | 20 | 31 | 9 | 1 | 11.11% | 8 | 0 | 100.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 43 | 26 | 49 | 17 | 27 | 13 | 60.0% | 12.5% | 92.2% | 104.7 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 26 | 8 | 11 | 7 | 0 | 30 | 8 | 7 | 18 | 7 | 2 | 28.57% | 1 | 0 | 100.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 24 | 18 | 24 | 6 | 10 | 5 | 0.0% | 7.7% | 96.7% | 104.4 | DULL | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 29 | 9 | 9 | 11 | 0 | 39 | 14 | 12 | 20 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 23 | 16 | 25 | 7 | 11 | 5 | 100.0% | 10.3% | 94.9% | 105.2 | LUCKY | |
11 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 40 | 11 | 12 | 17 | 0 | 52 | 11 | 10 | 22 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 24 | 17 | 24 | 6 | 10 | 5 | 40.0% | 7.5% | 92.3% | 99.8 | DULL | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 39 | 15 | 10 | 14 | 0 | 36 | 13 | 10 | 18 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 22 | 16 | 26 | 7 | 10 | 4 | 25.0% | 2.6% | 91.7% | 94.2 | DULL | |
13 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 3 | 2 | 2 | 1 | 72 | 15 | 32 | 24 | 1 | 62 | 23 | 20 | 44 | 13 | 3 | 23.08% | 10 | 1 | 90.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 53 | 38 | 43 | 14 | 23 | 12 | 62.5% | 11.1% | 93.5% | 104.7 | LUCKY | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 3 | 1 | 0 | 0 | 57 | 20 | 19 | 18 | 0 | 54 | 15 | 12 | 50 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 46 | 32 | 47 | 15 | 26 | 12 | 50.0% | 7.0% | 92.6% | 99.6 | DULL | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 72 | 21 | 28 | 23 | 0 | 70 | 27 | 23 | 42 | 8 | 2 | 25.00% | 8 | 2 | 75.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 47 | 33 | 48 | 14 | 23 | 11 | 50.0% | 8.3% | 91.4% | 99.8 | DULL | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 0 | 0 | 2 | 0 | 39 | 8 | 12 | 19 | 0 | 32 | 8 | 10 | 26 | 1 | 1 | 100.00% | 4 | 1 | 75.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 23 | 16 | 24 | 7 | 12 | 5 | 25.0% | 5.1% | 87.5% | 92.6 | Unlucky | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 1 | 3 | 4 | 0 | 54 | 9 | 27 | 18 | 0 | 65 | 19 | 29 | 49 | 3 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 39 | 25 | 54 | 14 | 25 | 11 | 50.0% | 14.8% | 87.7% | 102.5 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 31 | 9 | 6 | 16 | 0 | 43 | 10 | 10 | 13 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 22 | 15 | 24 | 7 | 13 | 6 | 37.5% | 12.9% | 83.7% | 96.6 | FUN | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 37 | 12 | 14 | 11 | 0 | 33 | 9 | 6 | 33 | 8 | 1 | 12.50% | 3 | 2 | 33.33% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 24 | 17 | 22 | 6 | 12 | 6 | 0.0% | 2.7% | 81.8% | 84.5 | Unlucky | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 58 | 19 | 18 | 21 | 0 | 73 | 28 | 24 | 43 | 7 | 1 | 14.29% | 12 | 1 | 91.67% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 42 | 28 | 53 | 14 | 23 | 11 | 40.0% | 8.6% | 90.4% | 99.0 | Unlucky | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 1 | 2 | 2 | 0 | 0 | 57 | 17 | 23 | 17 | 0 | 62 | 17 | 28 | 39 | 6 | 1 | 16.67% | 9 | 0 | 100.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 41 | 27 | 54 | 14 | 24 | 11 | 50.0% | 7.0% | 95.2% | 102.2 | DULL | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 53 | 16 | 19 | 18 | 0 | 72 | 26 | 14 | 46 | 6 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 49 | 34 | 47 | 13 | 23 | 11 | 71.4% | 9.4% | 93.1% | 102.5 | LUCKY | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 41 | 11 | 18 | 12 | 0 | 30 | 8 | 12 | 23 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 25 | 18 | 23 | 7 | 11 | 5 | 75.0% | 9.8% | 90.0% | 99.8 | FUN | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 3 | 0 | 1 | 0 | 53 | 18 | 21 | 14 | 0 | 71 | 22 | 14 | 27 | 10 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 43 | 30 | 50 | 16 | 26 | 12 | 40.0% | 7.5% | 87.3% | 94.9 | Unlucky | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 2 | 2 | 3 | 0 | 72 | 17 | 23 | 32 | 0 | 64 | 27 | 20 | 38 | 8 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 46 | 32 | 46 | 14 | 26 | 13 | 77.8% | 9.7% | 95.3% | 105.0 | LUCKY | |
26 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 7 | 12 | -5 | 1 | 0.167 | 7 | 11 | 18 | 1 | 0 | 3 | 2 | 2 | 1 | 89 | 22 | 29 | 38 | 4 | 108 | 29 | 10 | 66 | 12 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 66 | 44 | 78 | 23 | 40 | 19 | 36.8% | 7.9% | 88.9% | 96.8 | Unlucky | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 47 | 21 | 13 | 13 | 0 | 25 | 1 | 6 | 21 | 6 | 1 | 16.67% | 3 | 2 | 33.33% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 29 | 21 | 17 | 6 | 13 | 7 | 33.3% | 4.3% | 84.0% | 88.3 | Unlucky | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 21 | 8 | 3 | 10 | 0 | 45 | 21 | 12 | 23 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 18 | 10 | 28 | 7 | 13 | 6 | 40.0% | 9.5% | 91.1% | 100.6 | Unlucky | |
29 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 4 | 1.000 | 3 | 6 | 9 | 0 | 2 | 2 | 0 | 1 | 0 | 49 | 14 | 8 | 27 | 0 | 54 | 17 | 18 | 32 | 14 | 1 | 7.14% | 9 | 0 | 100.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 45 | 29 | 48 | 16 | 26 | 12 | 100.0% | 6.1% | 100.0% | 106.1 | DULL | |
30 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 8 | 7 | 1 | 5 | 0.833 | 8 | 15 | 23 | 0 | 0 | 1 | 3 | 2 | 2 | 75 | 25 | 21 | 25 | 7 | 91 | 36 | 18 | 56 | 10 | 2 | 20.00% | 9 | 0 | 100.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 64 | 45 | 86 | 23 | 37 | 18 | 46.2% | 10.7% | 92.3% | 103.0 | LUCKY | |
31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 1 | 2 | 1 | 1 | 0 | 54 | 19 | 21 | 14 | 0 | 70 | 21 | 20 | 36 | 10 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 44 | 28 | 50 | 15 | 25 | 12 | 50.0% | 7.4% | 94.3% | 101.7 | DULL | |
_Vs Division | 15 | 4 | 6 | 0 | 3 | 0 | 0 | 2 | 41 | 42 | -1 | 16 | 0.533 | 41 | 69 | 110 | 1 | 1 | 14 | 12 | 12 | 4 | 435 | 122 | 159 | 149 | 12 | 481 | 148 | 115 | 319 | 58 | 7 | 12.07% | 51 | 3 | 94.12% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 339 | 233 | 381 | 114 | 193 | 93 | 46.6% | 9.4% | 91.3% | 100.7 | LUCKY | |
_Vs Conference | 28 | 9 | 14 | 0 | 3 | 0 | 0 | 2 | 75 | 85 | -10 | 26 | 0.464 | 75 | 132 | 207 | 2 | 2 | 20 | 24 | 28 | 4 | 887 | 259 | 304 | 319 | 12 | 914 | 295 | 229 | 587 | 115 | 14 | 12.17% | 98 | 15 | 84.69% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 653 | 455 | 688 | 208 | 352 | 173 | 46.6% | 8.5% | 90.7% | 99.2 | Unlucky | |
_Since Last GM Reset | 53 | 23 | 23 | 0 | 3 | 2 | 0 | 2 | 140 | 158 | -18 | 56 | 0.528 | 140 | 251 | 391 | 4 | 5 | 46 | 41 | 50 | 4 | 1645 | 498 | 542 | 595 | 17 | 1749 | 557 | 471 | 1081 | 216 | 30 | 13.89% | 191 | 31 | 83.77% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 1218 | 842 | 1315 | 397 | 665 | 323 | 46.4% | 8.5% | 91.0% | 99.5 | Unlucky | |
Total | 53 | 23 | 23 | 0 | 3 | 2 | 0 | 2 | 140 | 158 | -18 | 56 | 0.528 | 140 | 251 | 391 | 4 | 5 | 46 | 41 | 50 | 4 | 1645 | 498 | 542 | 595 | 17 | 1749 | 557 | 471 | 1081 | 216 | 30 | 13.89% | 191 | 31 | 83.77% | 0 | 823 | 1839 | 44.75% | 848 | 1901 | 44.61% | 361 | 817 | 44.19% | 1218 | 842 | 1315 | 397 | 665 | 323 | 46.4% | 8.5% | 91.0% | 99.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1839 |
Neutral Zone Start | 817 |
Defensive Zone Start | 1901 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2032 |
Faceoffs Lost | 2525 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 19.6 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 106 |
---|---|
PP Goal | 30 |
PK Goal | 0 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 12 | 14 |
Lost | 13 | 10 |
Overtime Lost | 3 | 1 |
PP Attempt | 216 |
---|---|
PP Goal | 30 |
PK Attempt | 191 |
PK Goal Against | 31 |
Home | |
---|---|
Shots For | 31.0 |
Shots Against | 33.0 |
Goals For | 2.6 |
Goals Against | 3.0 |
Hits | 20.4 |
Shots Blocked | 10.5 |
Pim | 8.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-10 | @ | Blues7,Kraken4 | RECAP | |||||||||||
2024-10-14 | @ | Kraken1,Wild3 | RECAP | |||||||||||
2024-10-15 | @ | Kraken2,Stars4 | RECAP | |||||||||||
2024-10-17 | @ | Kraken4,Predators3 | RECAP | |||||||||||
2024-10-19 | @ | Flyers5,Kraken0 | RECAP | |||||||||||
2024-10-21 | @ | Flames3,Kraken2 | RECAP | |||||||||||
2024-10-24 | @ | Avalanche2,Kraken5 | RECAP | |||||||||||
2024-10-26 | @ | Jets0,Kraken3 | RECAP | |||||||||||
2024-10-28 | @ | Hurricanes4,Kraken2 | RECAP | |||||||||||
2024-10-31 | @ | Kraken3,Canadiens2 | RECAP | |||||||||||
2024-11-02 | @ | Kraken2,Maple Leafs4 | RECAP | |||||||||||
2024-11-04 | @ | Kraken1,Senators5 | RECAP | |||||||||||
2024-11-05 | @ | Kraken2,Bruins5 | RECAP | |||||||||||
2024-11-07 | @ | Kraken1,Avalanche3 | RECAP | |||||||||||
2024-11-10 | @ | Golden Knights4,Kraken2 | RECAP | |||||||||||
2024-11-14 | @ | Blue Jackets2,Kraken3 | RECAP | |||||||||||
2024-11-16 | @ | Blackhawks1,Kraken3 | RECAP | |||||||||||
2024-11-18 | @ | Islanders4,Kraken5 | RECAP | |||||||||||
2024-11-19 | @ | Rangers2,Kraken4 | RECAP | |||||||||||
2024-11-22 | @ | Predators3,Kraken2 | RECAP | |||||||||||
2024-11-25 | @ | Kraken3,Kings1 | RECAP | |||||||||||
2024-11-27 | @ | Kraken4,Ducks5 (SO) | RECAP | |||||||||||
2024-11-29 | @ | Ducks3,Kraken1 | RECAP | |||||||||||
2024-12-01 | @ | Kraken4,Sharks3 (OT) | RECAP | |||||||||||
2024-12-02 | @ | Sharks1,Kraken2 (OT) | RECAP | |||||||||||
2024-12-05 | @ | Kraken2,Hurricanes4 | RECAP | |||||||||||
2024-12-07 | @ | Kraken4,Islanders2 | RECAP | |||||||||||
2024-12-08 | @ | Kraken5,Devils4 | RECAP | |||||||||||
2024-12-10 | @ | Kraken3,Rangers2 | RECAP | |||||||||||
2024-12-12 | @ | Panthers3,Kraken4 | RECAP | |||||||||||
2024-12-14 | @ | Bruins2,Kraken3 | RECAP | |||||||||||
2024-12-16 | @ | Lightning4,Kraken2 | RECAP | |||||||||||
2024-12-19 | @ | Senators3,Kraken2 (OT) | RECAP | |||||||||||
2024-12-21 | @ | Kraken2,Blackhawks4 | RECAP | |||||||||||
2024-12-23 | @ | Kraken2,Golden Knights0 | RECAP | |||||||||||
2024-12-24 | @ | Kraken2,Avalanche4 | RECAP | |||||||||||
2024-12-30 | @ | Kraken4,Canucks3 (OT) | RECAP | |||||||||||
2025-01-01 | @ | Hockey Club6,Kraken1 | RECAP | |||||||||||
2025-01-04 | @ | Canucks1,Kraken4 | RECAP | |||||||||||
2025-01-06 | @ | Oilers5,Kraken3 | RECAP | |||||||||||
2025-01-08 | @ | Devils1,Kraken5 | RECAP | |||||||||||
2025-01-11 | @ | Kraken1,Blue Jackets7 | RECAP | |||||||||||
2025-01-13 | @ | Kraken2,Sabres0 | RECAP | |||||||||||
2025-01-14 | @ | Kraken2,Red Wings1 | RECAP | |||||||||||
2025-01-16 | @ | Kraken1,Penguins0 | RECAP | |||||||||||
2025-01-18 | @ | Kraken4,Jets3 | RECAP | |||||||||||
2025-01-20 | @ | Kings3,Kraken1 | RECAP | |||||||||||
2025-01-22 | @ | Sabres3,Kraken2 | RECAP | |||||||||||
2025-01-25 | @ | Capitals4,Kraken3 (OT) | RECAP | |||||||||||
2025-01-27 | @ | Penguins0,Kraken2 | RECAP | |||||||||||
2025-01-29 | @ | Kraken5,Oilers3 | RECAP | |||||||||||
2025-01-30 | @ | Ducks4,Kraken2 | RECAP | |||||||||||
2025-02-01 | @ | Sharks3,Kraken2 (SO) | RECAP | |||||||||||
2025-02-04 | @ | |||||||||||||
2025-02-06 | @ | |||||||||||||
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2025-03-06 | @ | |||||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2025-03-11 | @ | |||||||||||||
2025-03-14 | @ | |||||||||||||
2025-03-16 | @ | |||||||||||||
2025-03-18 | @ | |||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,980,833$ | 0$ | 76,583,645$ | 15,019,167$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | 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 | 78400 | 67946 | 28000 | 56000 | 11200 |
Attendance PCT | 40.00% | 40.44% | 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 |
13 | 8627 - 40.12% | 1,556,010$ | 43,568,278$ | 21500 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
72,980,833$ | 72,980,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
49,274,684$ | 372,351$ | 48,657,320$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
20,228,129$ | 75 | 377,453$ | 28,308,975$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
29,458,093$ | 72,980,833$ | 54,199,781$ | 44,969,817$ |
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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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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 |
---|---|---|---|---|---|
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 | |||
Isaac Howard | 2022 | 19 | |||
Jack Bar | 2021 | 125 | |||
Jake Richard | 2022 | 177 | |||
Kasper Simontaival | 2020 | 45 | |||
Luke Mittelstadt | 2023 | 141 | |||
Milton Oscarson | 2023 | 156 | |||
Ondrej Becher | 2024 | 84 | |||
Owen Allard | 2024 | 94 | |||
Owen Mehlenbacher | 2022 | 170 | |||
Ruslan Khazheyev | 2023 | 184 | |||
Ryan Chesley | 2022 | 36 | |||
Samu Bau | 2023 | 154 | |||
Taylor Makar | 2021 | 174 | |||
Veeti Vaisanen | 2024 | 58 | |||
Vojtech Port | 2023 | 187 | |||
William Zellers | 2024 | 91 |
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