|
|
|
|
|
|
|
|
|
|
Full Scoreboard »» |
Seattle Kraken 10-12-1, 21pts · 11th in Conference Ouest |
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/LW | 100.00 | 77 | 57 | 80 | 80 | 66 | 66 | 93 | 67 | 72 | 68 | 62 | 69 | 25 | 59 | 59 | 68 | 50 | 0 | 21 | 863,333$/2yrs | |||
![]() | 0 | C | 100.00 | 75 | 43 | 98 | 82 | 67 | 76 | 81 | 76 | 79 | 80 | 81 | 69 | 25 | 55 | 55 | 79 | 50 | 0 | 20 | 897,500$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 82 | 54 | 87 | 84 | 71 | 70 | 97 | 69 | 39 | 73 | 72 | 62 | 63 | 63 | 64 | 73 | 50 | 0 | 20 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 53 | 88 | 82 | 69 | 78 | 88 | 75 | 44 | 76 | 76 | 72 | 80 | 72 | 75 | 77 | 50 | 0 | 30 | 5,125,000$/6yrs | |||
![]() | 0 | C | 100.00 | 71 | 43 | 90 | 84 | 72 | 68 | 90 | 77 | 81 | 74 | 71 | 66 | 75 | 60 | 61 | 73 | 50 | 0 | 23 | 874,125$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 43 | 85 | 81 | 67 | 68 | 64 | 73 | 55 | 70 | 72 | 64 | 75 | 68 | 68 | 72 | 50 | 0 | 26 | 4,725,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 56 | 83 | 82 | 73 | 74 | 76 | 85 | 32 | 81 | 70 | 63 | 25 | 65 | 65 | 74 | 50 | 0 | 27 | 4,750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 78 | 44 | 82 | 83 | 73 | 68 | 91 | 73 | 83 | 75 | 73 | 61 | 75 | 66 | 69 | 74 | 50 | 0 | 22 | 4,820,000$/8yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 42 | 85 | 75 | 70 | 64 | 82 | 64 | 42 | 65 | 64 | 69 | 80 | 58 | 58 | 67 | 50 | 0 | 25 | 1,100,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 42 | 91 | 83 | 65 | 62 | 81 | 61 | 44 | 69 | 62 | 63 | 25 | 59 | 59 | 67 | 50 | 0 | 21 | 891,667$/1yrs | |||
![]() | 0 | RW | 100.00 | 80 | 44 | 91 | 90 | 71 | 66 | 90 | 69 | 40 | 74 | 74 | 71 | 25 | 68 | 70 | 75 | 50 | 0 | 26 | 3,200,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 61 | 41 | 92 | 81 | 73 | 68 | 93 | 58 | 38 | 68 | 70 | 77 | 75 | 63 | 63 | 72 | 50 | 0 | 24 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 41 | 87 | 89 | 66 | 91 | 97 | 95 | 25 | 79 | 58 | 88 | 53 | 65 | 66 | 76 | 50 | 0 | 24 | 9,500,000$/7yrs | |||
![]() | 0 | D | 100.00 | 84 | 46 | 93 | 79 | 84 | 72 | 87 | 56 | 25 | 50 | 47 | 87 | 25 | 83 | 84 | 64 | 50 | 0 | 34 | 6,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 42 | 86 | 86 | 76 | 80 | 98 | 71 | 25 | 65 | 50 | 78 | 48 | 76 | 76 | 67 | 50 | 0 | 28 | 4,166,666$/1yrs | |||
![]() | 0 | D | 99.00 | 79 | 44 | 85 | 78 | 72 | 78 | 91 | 60 | 25 | 54 | 48 | 92 | 25 | 82 | 84 | 66 | 50 | 0 | 31 | 2,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 94 | 47 | 80 | 75 | 75 | 68 | 68 | 60 | 25 | 50 | 48 | 75 | 25 | 65 | 65 | 61 | 50 | 0 | 27 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 56 | 88 | 80 | 77 | 67 | 77 | 59 | 25 | 43 | 47 | 79 | 25 | 79 | 80 | 61 | 50 | 0 | 35 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 71 | 43 | 85 | 70 | 69 | 57 | 80 | 61 | 84 | 50 | 57 | 70 | 25 | 56 | 56 | 62 | 50 | 0 | 27 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 92 | 67 | 79 | 72 | 76 | 61 | 70 | 60 | 73 | 61 | 58 | 78 | 25 | 59 | 61 | 66 | 50 | 0 | 30 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 67 | 66 | 73 | 83 | 80 | 54 | 72 | 56 | 36 | 50 | 56 | 68 | 25 | 74 | 76 | 60 | 50 | 0 | 31 | 3,200,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 61 | 71 | 37 | 67 | 71 | 70 | 73 | 60 | 50 | 54 | 61 | 58 | 58 | 48 | 48 | 60 | 50 | 0 | 25 | 750,000$/1yrs | |||
TEAM AVERAGE | 99.91 | 74 | 49 | 84 | 80 | 72 | 69 | 84 | 68 | 47 | 65 | 63 | 72 | 45 | 66 | 66 | 69 | 50 | 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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 63 | 77 | 75 | 72 | 65 | 60 | 69 | 64 | 65 | 63 | 81 | 66 | 68 | 66 | 50 | 0 | 30 | 5,900,000$/5yrs |
![]() | 0 | 100.00 | 67 | 78 | 75 | 79 | 65 | 68 | 71 | 67 | 65 | 67 | 68 | 57 | 58 | 68 | 50 | 0 | 27 | 4,750,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 64 | 61 | 76 | 65 | 54 | 69 | 61 | 65 | 60 | 75 | 46 | 46 | 62 | 50 | 0 | 25 | 792,500$/2yrs |
TEAM AVERAGE | 100.00 | 63 | 73 | 70 | 76 | 65 | 61 | 70 | 64 | 65 | 63 | 75 | 56 | 57 | 65 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 73 | 42 | 89 | 83 | 65 | 65 | 67 | 67 | 34 | 75 | 64 | 67 | 75 | 55 | 55 | 69 | 56 | 0 | 21 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 75 | 69 | 64 | 83 | 64 | 57 | 63 | 39 | 62 | 64 | 68 | 25 | 63 | 63 | 65 | 56 | 0 | 24 | 1,295,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 41 | 91 | 69 | 65 | 65 | 89 | 73 | 44 | 65 | 73 | 62 | 25 | 52 | 52 | 70 | 56 | 0 | 22 | 925,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 69 | 64 | 81 | 68 | 64 | 78 | 80 | 71 | 50 | 68 | 70 | 64 | 67 | 45 | 45 | 70 | 56 | 0 | 23 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 44 | 92 | 74 | 71 | 54 | 61 | 60 | 32 | 50 | 60 | 62 | 25 | 56 | 56 | 62 | 56 | 0 | 24 | 1,200,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 97 | 68 | 82 | 76 | 77 | 64 | 63 | 62 | 29 | 60 | 68 | 66 | 25 | 50 | 50 | 69 | 56 | 0 | 24 | 785,000$/2yrs | |||
![]() | 0 | D | 100.00 | 96 | 99 | 48 | 70 | 91 | 67 | 68 | 65 | 25 | 52 | 50 | 66 | 25 | 49 | 49 | 61 | 56 | 0 | 21 | 828,333$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 95 | 71 | 75 | 70 | 70 | 61 | 25 | 52 | 47 | 83 | 25 | 47 | 47 | 63 | 56 | 0 | 22 | 863,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 43 | 87 | 80 | 69 | 69 | 60 | 65 | 25 | 67 | 49 | 77 | 75 | 58 | 59 | 65 | 56 | 0 | 24 | 2,333,333$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 44 | 91 | 76 | 75 | 62 | 54 | 53 | 25 | 39 | 48 | 71 | 25 | 57 | 57 | 58 | 56 | 0 | 24 | 800,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 59 | 42 | 99 | 83 | 78 | 73 | 63 | 81 | 35 | 81 | 59 | 60 | 66 | 86 | 86 | 68 | 24 | 0 | 33 | 8,250,000$/2yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 68 | 62 | 60 | 78 | 78 | 58 | 83 | 67 | 67 | 67 | 65 | 50 | 51 | 68 | 56 | 0 | 21 | 925,000$/1yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Anthony Bourgoin |
---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Bryan Rust | 0 | LW/RW | 23 | 9 | 13 | 22 | -3 | 17 | 5 | 37 | 99 | 27 | 49 | 9.09% | 13 | 21.84 | 3 | 4 | 7 | 60 | 0 | 0 | 0 | 45 | 1 | 0 | 38.24% | 34 | 13 | 6 | 0 | 0 | 0.88 | 1 | 4 | ||
2 | Kasperi Kapanen | 0 | RW | 23 | 7 | 13 | 20 | -2 | 4 | 0 | 39 | 88 | 32 | 56 | 7.95% | 14 | 21.01 | 2 | 2 | 4 | 59 | 0 | 0 | 0 | 30 | 1 | 0 | 45.45% | 44 | 22 | 9 | 0 | 0 | 0.83 | 1 | 4 | ||
3 | Adam Fox | 0 | D | 23 | 5 | 14 | 19 | -18 | 14 | 0 | 23 | 86 | 35 | 32 | 5.81% | 36 | 27.66 | 3 | 7 | 10 | 64 | 0 | 0 | 0 | 50 | 0 | 0 | 0.00% | 1 | 21 | 24 | 0 | 0 | 0.60 | 0 | 1 | ||
4 | Yegor Sharangovich | 0 | C/LW/RW | 23 | 5 | 9 | 14 | -3 | 4 | 0 | 19 | 27 | 10 | 13 | 18.52% | 9 | 19.55 | 0 | 3 | 3 | 59 | 0 | 0 | 0 | 0 | 1 | 1 | 32.08% | 614 | 3 | 11 | 0 | 0 | 0.62 | 0 | 1 | ||
5 | Matthew Beniers | 0 | C | 23 | 6 | 7 | 13 | -7 | 0 | 0 | 20 | 77 | 30 | 31 | 7.79% | 4 | 16.36 | 1 | 3 | 4 | 49 | 0 | 0 | 0 | 4 | 0 | 0 | 51.92% | 287 | 16 | 3 | 0 | 0 | 0.69 | 1 | 4 | ||
6 | Alexis Lafreniere | 0 | LW/RW | 23 | 5 | 8 | 13 | -6 | 10 | 0 | 32 | 66 | 23 | 35 | 7.58% | 5 | 17.71 | 3 | 2 | 5 | 49 | 0 | 0 | 0 | 27 | 1 | 0 | 18.18% | 22 | 17 | 9 | 0 | 0 | 0.64 | 1 | 2 | ||
7 | Tyler Bertuzzi | 0 | LW/RW | 23 | 6 | 4 | 10 | -9 | 21 | 5 | 17 | 48 | 14 | 28 | 12.50% | 2 | 11.96 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 6 | 10 | 1 | 0 | 0 | 0.73 | 0 | 0 | ||
8 | Jesperi Kotkaniemi | 0 | C | 23 | 3 | 5 | 8 | -7 | 8 | 0 | 22 | 27 | 14 | 26 | 11.11% | 4 | 11.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 9 | 3 | 0 | 0 | 0.59 | 0 | 1 | ||
9 | Dmitry Kulikov | 0 | D | 23 | 1 | 5 | 6 | -18 | 25 | 5 | 36 | 45 | 18 | 14 | 2.22% | 28 | 26.79 | 1 | 1 | 2 | 64 | 0 | 0 | 0 | 43 | 1 | 0 | 0.00% | 0 | 2 | 33 | 0 | 0 | 0.19 | 0 | 0 | ||
10 | Erik Johnson | 0 | D | 23 | 0 | 5 | 5 | 1 | 9 | 5 | 29 | 13 | 6 | 5 | 0.00% | 26 | 20.55 | 0 | 0 | 0 | 46 | 0 | 0 | 0 | 46 | 0 | 0 | 0.00% | 0 | 4 | 18 | 0 | 0 | 0.21 | 0 | 0 | ||
11 | Cody Glass | 0 | C | 23 | 3 | 2 | 5 | -9 | 6 | 0 | 16 | 27 | 14 | 22 | 11.11% | 6 | 11.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 116 | 3 | 7 | 0 | 0 | 0.37 | 1 | 1 | ||
12 | Kevin Labanc | 0 | LW/RW | 23 | 4 | 1 | 5 | -10 | 6 | 0 | 39 | 40 | 15 | 25 | 10.00% | 11 | 18.13 | 1 | 1 | 2 | 49 | 0 | 0 | 0 | 48 | 1 | 0 | 38.54% | 96 | 8 | 2 | 0 | 0 | 0.24 | 1 | 1 | ||
13 | Damon Severson | 0 | D | 23 | 2 | 2 | 4 | 1 | 17 | 5 | 18 | 14 | 10 | 9 | 14.29% | 22 | 20.09 | 1 | 0 | 1 | 46 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 6 | 16 | 0 | 0 | 0.17 | 1 | 1 | ||
14 | Justin Braun | 0 | D | 23 | 0 | 4 | 4 | -6 | 0 | 0 | 9 | 12 | 5 | 8 | 0.00% | 27 | 12.59 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 2 | 7 | 0 | 0 | 0.28 | 0 | 0 | ||
15 | Peyton Krebs | 0 | C/LW | 23 | 2 | 0 | 2 | -4 | 2 | 0 | 21 | 36 | 4 | 19 | 5.56% | 5 | 10.49 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 26 | 0 | 0 | 31.25% | 16 | 8 | 3 | 0 | 0 | 0.17 | 0 | 0 | ||
16 | Robert Hagg | 0 | D | 23 | 0 | 2 | 2 | -6 | 4 | 0 | 21 | 8 | 4 | 5 | 0.00% | 18 | 13.03 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 1 | 11 | 0 | 0 | 0.13 | 0 | 0 | ||
17 | Rem Pitlick | 0 | C/LW/RW | 23 | 0 | 2 | 2 | -4 | 0 | 0 | 10 | 25 | 13 | 9 | 0.00% | 4 | 8.37 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 22.03% | 59 | 9 | 3 | 0 | 0 | 0.21 | 1 | 1 | ||
18 | Nils Hoglander | 0 | LW/RW | 23 | 2 | 0 | 2 | -4 | 4 | 0 | 17 | 21 | 8 | 18 | 9.52% | 3 | 8.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 2 | 1 | 4 | 0 | 0 | 0.21 | 0 | 0 | ||
Team Total or Average | 414 | 60 | 96 | 156 | -114 | 151 | 25 | 425 | 759 | 282 | 404 | 7.91% | 237 | 16.57 | 15 | 23 | 38 | 560 | 0 | 0 | 0 | 376 | 7 | 1 | 38.43% | 1301 | 155 | 170 | 0 | 0 | 0.45 | 8 | 21 |
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 | Ville Husso | 23 | 9 | 12 | 1 | 0.887 | 3.74 | 1299 | 4 | 0 | 81 | 716 | 377 | 1 | 0 | 0.667 | 18 | 23 | 0 | 0 | 0 | 2 | |
2 | Philipp Grubauer | 3 | 1 | 0 | 0 | 0.933 | 2.45 | 98 | 0 | 0 | 4 | 60 | 35 | 0 | 0 | 1.000 | 3 | 0 | 23 | 0 | 0 | 0 | |
Team Total or Average | 26 | 10 | 12 | 1 | 0.890 | 3.65 | 1398 | 4 | 0 | 85 | 776 | 412 | 1 | 0 | 0.714 | 21 | 23 | 23 | 0 | 0 | 2 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 7 | 10 | 9 | 0 | 31 | 11 | 4 | 12 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 19 | 9 | 20 | 9 | 20 | 9 | 0.0% | 3.8% | 87.1% | 90.9 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 36 | 14 | 3 | 19 | 0 | 42 | 8 | 11 | 16 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 21 | 13 | 22 | 8 | 16 | 7 | 16.7% | 8.3% | 85.7% | 94.0 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 27 | 7 | 10 | 10 | 0 | 34 | 6 | 0 | 14 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 19 | 10 | 23 | 8 | 17 | 8 | 16.7% | 3.7% | 85.3% | 89.0 | Unlucky | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 32 | 6 | 12 | 14 | 0 | 44 | 12 | 6 | 19 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 19 | 12 | 25 | 8 | 15 | 7 | 50.0% | 6.3% | 93.2% | 99.4 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 29 | 4 | 12 | 13 | 0 | 32 | 9 | 10 | 17 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 19 | 10 | 24 | 9 | 16 | 7 | 50.0% | 10.3% | 93.8% | 104.1 | LUCKY | |
6 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 87 | 19 | 33 | 35 | 0 | 109 | 33 | 25 | 57 | 5 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 59 | 33 | 69 | 27 | 51 | 24 | 28.6% | 4.6% | 88.1% | 92.7 | Unlucky | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 2 | 3 | 4 | 0 | 72 | 25 | 21 | 26 | 0 | 71 | 26 | 8 | 35 | 8 | 2 | 25.00% | 4 | 1 | 75.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 44 | 26 | 40 | 18 | 35 | 16 | 58.3% | 12.5% | 91.5% | 104.0 | LUCKY | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 1 | 3 | 2 | 4 | 77 | 25 | 32 | 18 | 13 | 56 | 16 | 14 | 42 | 5 | 1 | 20.00% | 7 | 3 | 57.14% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 47 | 28 | 42 | 17 | 35 | 18 | 85.7% | 9.1% | 92.9% | 101.9 | LUCKY | |
9 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 0 | 3 | 3 | 64 | 23 | 21 | 19 | 5 | 56 | 18 | 6 | 48 | 9 | 2 | 22.22% | 3 | 1 | 66.67% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 44 | 23 | 40 | 19 | 40 | 20 | 33.3% | 7.8% | 87.5% | 95.3 | Unlucky | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 41 | 12 | 11 | 18 | 0 | 33 | 9 | 6 | 26 | 3 | 2 | 66.67% | 3 | 2 | 33.33% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 21 | 13 | 22 | 7 | 15 | 7 | 33.3% | 7.3% | 87.9% | 95.2 | Unlucky | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 3 | 0 | 1 | 26 | 9 | 14 | 3 | 3 | 34 | 12 | 2 | 20 | 3 | 1 | 33.33% | 1 | 1 | 0.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 21 | 13 | 24 | 9 | 18 | 9 | 55.6% | 23.1% | 85.3% | 108.4 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 34 | 4 | 12 | 18 | 0 | 38 | 10 | 4 | 19 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 23 | 14 | 20 | 7 | 15 | 8 | 25.0% | 5.9% | 84.2% | 90.1 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 3 | 0 | 0 | 35 | 14 | 16 | 5 | 0 | 22 | 8 | 8 | 27 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 21 | 11 | 19 | 9 | 19 | 9 | 75.0% | 11.4% | 95.5% | 106.9 | LUCKY | |
14 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 6 | 2 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 1 | 3 | 4 | 0 | 77 | 18 | 29 | 26 | 7 | 60 | 24 | 17 | 29 | 10 | 2 | 20.00% | 6 | 0 | 100.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 43 | 23 | 43 | 19 | 38 | 20 | 50.0% | 10.4% | 90.0% | 100.4 | FUN | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 60 | 21 | 15 | 24 | 0 | 79 | 22 | 28 | 25 | 3 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 41 | 23 | 44 | 17 | 34 | 16 | 44.4% | 6.7% | 89.9% | 96.5 | Unlucky | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 36 | 7 | 10 | 19 | 0 | 35 | 13 | 6 | 19 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 20 | 11 | 23 | 9 | 16 | 8 | 14.3% | 2.8% | 82.9% | 85.6 | Unlucky | |
_Vs Division | 8 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 22 | 31 | -9 | 8 | 0.500 | 22 | 32 | 54 | 0 | 0 | 5 | 4 | 12 | 3 | 273 | 88 | 78 | 106 | 5 | 274 | 88 | 54 | 153 | 26 | 6 | 23.08% | 21 | 7 | 66.67% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 171 | 98 | 171 | 72 | 142 | 69 | 40.0% | 8.1% | 88.7% | 96.7 | Unlucky | |
_Vs Conference | 16 | 5 | 9 | 0 | 0 | 0 | 2 | 0 | 40 | 56 | -16 | 14 | 0.438 | 40 | 58 | 98 | 0 | 0 | 8 | 13 | 17 | 7 | 530 | 159 | 181 | 187 | 18 | 536 | 168 | 111 | 310 | 48 | 9 | 18.75% | 47 | 15 | 68.09% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 338 | 193 | 347 | 145 | 284 | 139 | 43.1% | 7.5% | 89.6% | 97.1 | Unlucky | |
_Since Last GM Reset | 23 | 7 | 12 | 0 | 0 | 0 | 3 | 1 | 63 | 86 | -23 | 21 | 0.457 | 63 | 96 | 159 | 0 | 0 | 12 | 21 | 27 | 8 | 759 | 215 | 261 | 276 | 28 | 776 | 237 | 155 | 425 | 68 | 15 | 22.06% | 64 | 17 | 73.44% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 485 | 278 | 506 | 208 | 407 | 201 | 41.0% | 8.3% | 88.9% | 97.2 | Unlucky | |
Total | 23 | 7 | 12 | 0 | 0 | 0 | 3 | 1 | 63 | 86 | -23 | 21 | 0.457 | 63 | 96 | 159 | 0 | 0 | 12 | 21 | 27 | 8 | 759 | 215 | 261 | 276 | 28 | 776 | 237 | 155 | 425 | 68 | 15 | 22.06% | 64 | 17 | 73.44% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 485 | 278 | 506 | 208 | 407 | 201 | 41.0% | 8.3% | 88.9% | 97.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 472 |
Neutral Zone Start | 322 |
Defensive Zone Start | 492 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 500 |
Faceoffs Lost | 786 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 20.7 | 20.31 |
3rd Period | 32.7 | 30.68 |
Overtime | 33.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 48 |
---|---|
PP Goal | 15 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 6 |
Lost | 6 | 6 |
Overtime Lost | 1 | 0 |
PP Attempt | 68 |
---|---|
PP Goal | 15 |
PK Attempt | 64 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 33.0 |
Shots Against | 33.7 |
Goals For | 2.7 |
Goals Against | 3.7 |
Hits | 18.5 |
Shots Blocked | 10.3 |
Pim | 6.7 |
Projected Total Cap Hit | 70,780,791$ |
Projected Cap Space | 11,719,209$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 18,432,500$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Kraken Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox ![]() | D | 24 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |
Alexis Lafreniere ![]() | LW/RW | 20 | 925,000$ | 925,000$ | |||||||
Bryan Rust ![]() | LW/RW | 30 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | ||
Cody Glass ![]() | C | 23 | 874,125$ | 874,125$ | |||||||
Damon Severson ![]() | D | 28 | 4,166,666$ | 4,166,666$ | |||||||
Dmitry Kulikov ![]() | D | 31 | 2,250,000$ | 2,250,000$ | |||||||
Erik Johnson ![]() | D | 34 | 6,000,000$ | 6,000,000$ | |||||||
Felix Sandstrom ![]() | G | 25 | 792,500$ | 792,500$ | 792,500$ | ||||||
Jeffrey Viel ![]() | LW | 25 | 750,000$ | 750,000$ | |||||||
Jesperi Kotkaniemi ![]() | C | 22 | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ |
Justin Braun ![]() | D | 35 | 1,000,000$ | 1,000,000$ | |||||||
Kasperi Kapanen ![]() | RW | 26 | 3,200,000$ | 3,200,000$ | 3,200,000$ | ||||||
Kevin Labanc ![]() | LW/RW | 26 | 4,725,000$ | 4,725,000$ | 4,725,000$ | ||||||
Laurent Dauphin ![]() | C | 27 | 750,000$ | 750,000$ | |||||||
Matthew Beniers ![]() | C | 20 | 897,500$ | 897,500$ | 897,500$ | ||||||
Nils Hoglander ![]() | LW/RW | 21 | 891,667$ | 891,667$ | |||||||
Patrick Brown ![]() | C/RW | 30 | 750,000$ | 750,000$ | |||||||
Peyton Krebs ![]() | C/LW | 21 | 863,333$ | 863,333$ | 863,333$ | ||||||
Philipp Grubauer ![]() | G | 30 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | |||
Rem Pitlick ![]() | C/LW/RW | 25 | 1,100,000$ | 1,100,000$ | |||||||
Robert Hagg ![]() | D | 27 | 800,000$ | 800,000$ | |||||||
Tyler Bertuzzi ![]() | LW/RW | 27 | 4,750,000$ | 4,750,000$ | |||||||
Ville Husso ![]() | G | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Yegor Sharangovich ![]() | C/LW/RW | 24 | 2,000,000$ | 2,000,000$ | |||||||
Zack Kassian ![]() | RW | 31 | 3,200,000$ | 3,200,000$ | 3,200,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 7 | 10 | 9 | 0 | 31 | 11 | 4 | 12 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 19 | 9 | 20 | 9 | 20 | 9 | 0.0% | 3.8% | 87.1% | 90.9 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 36 | 14 | 3 | 19 | 0 | 42 | 8 | 11 | 16 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 21 | 13 | 22 | 8 | 16 | 7 | 16.7% | 8.3% | 85.7% | 94.0 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 27 | 7 | 10 | 10 | 0 | 34 | 6 | 0 | 14 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 19 | 10 | 23 | 8 | 17 | 8 | 16.7% | 3.7% | 85.3% | 89.0 | Unlucky | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 32 | 6 | 12 | 14 | 0 | 44 | 12 | 6 | 19 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 19 | 12 | 25 | 8 | 15 | 7 | 50.0% | 6.3% | 93.2% | 99.4 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 29 | 4 | 12 | 13 | 0 | 32 | 9 | 10 | 17 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 19 | 10 | 24 | 9 | 16 | 7 | 50.0% | 10.3% | 93.8% | 104.1 | LUCKY | |
6 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 87 | 19 | 33 | 35 | 0 | 109 | 33 | 25 | 57 | 5 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 59 | 33 | 69 | 27 | 51 | 24 | 28.6% | 4.6% | 88.1% | 92.7 | Unlucky | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 2 | 3 | 4 | 0 | 72 | 25 | 21 | 26 | 0 | 71 | 26 | 8 | 35 | 8 | 2 | 25.00% | 4 | 1 | 75.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 44 | 26 | 40 | 18 | 35 | 16 | 58.3% | 12.5% | 91.5% | 104.0 | LUCKY | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 1 | 3 | 2 | 4 | 77 | 25 | 32 | 18 | 13 | 56 | 16 | 14 | 42 | 5 | 1 | 20.00% | 7 | 3 | 57.14% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 47 | 28 | 42 | 17 | 35 | 18 | 85.7% | 9.1% | 92.9% | 101.9 | LUCKY | |
9 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 0 | 3 | 3 | 64 | 23 | 21 | 19 | 5 | 56 | 18 | 6 | 48 | 9 | 2 | 22.22% | 3 | 1 | 66.67% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 44 | 23 | 40 | 19 | 40 | 20 | 33.3% | 7.8% | 87.5% | 95.3 | Unlucky | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 41 | 12 | 11 | 18 | 0 | 33 | 9 | 6 | 26 | 3 | 2 | 66.67% | 3 | 2 | 33.33% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 21 | 13 | 22 | 7 | 15 | 7 | 33.3% | 7.3% | 87.9% | 95.2 | Unlucky | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 3 | 0 | 1 | 26 | 9 | 14 | 3 | 3 | 34 | 12 | 2 | 20 | 3 | 1 | 33.33% | 1 | 1 | 0.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 21 | 13 | 24 | 9 | 18 | 9 | 55.6% | 23.1% | 85.3% | 108.4 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 34 | 4 | 12 | 18 | 0 | 38 | 10 | 4 | 19 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 23 | 14 | 20 | 7 | 15 | 8 | 25.0% | 5.9% | 84.2% | 90.1 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 3 | 0 | 0 | 35 | 14 | 16 | 5 | 0 | 22 | 8 | 8 | 27 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 21 | 11 | 19 | 9 | 19 | 9 | 75.0% | 11.4% | 95.5% | 106.9 | LUCKY | |
14 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 6 | 2 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 1 | 3 | 4 | 0 | 77 | 18 | 29 | 26 | 7 | 60 | 24 | 17 | 29 | 10 | 2 | 20.00% | 6 | 0 | 100.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 43 | 23 | 43 | 19 | 38 | 20 | 50.0% | 10.4% | 90.0% | 100.4 | FUN | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 60 | 21 | 15 | 24 | 0 | 79 | 22 | 28 | 25 | 3 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 41 | 23 | 44 | 17 | 34 | 16 | 44.4% | 6.7% | 89.9% | 96.5 | Unlucky | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 36 | 7 | 10 | 19 | 0 | 35 | 13 | 6 | 19 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 20 | 11 | 23 | 9 | 16 | 8 | 14.3% | 2.8% | 82.9% | 85.6 | Unlucky | |
_Vs Division | 8 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 22 | 31 | -9 | 8 | 0.500 | 22 | 32 | 54 | 0 | 0 | 5 | 4 | 12 | 3 | 273 | 88 | 78 | 106 | 5 | 274 | 88 | 54 | 153 | 26 | 6 | 23.08% | 21 | 7 | 66.67% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 171 | 98 | 171 | 72 | 142 | 69 | 40.0% | 8.1% | 88.7% | 96.7 | Unlucky | |
_Vs Conference | 16 | 5 | 9 | 0 | 0 | 0 | 2 | 0 | 40 | 56 | -16 | 14 | 0.438 | 40 | 58 | 98 | 0 | 0 | 8 | 13 | 17 | 7 | 530 | 159 | 181 | 187 | 18 | 536 | 168 | 111 | 310 | 48 | 9 | 18.75% | 47 | 15 | 68.09% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 338 | 193 | 347 | 145 | 284 | 139 | 43.1% | 7.5% | 89.6% | 97.1 | Unlucky | |
_Since Last GM Reset | 23 | 7 | 12 | 0 | 0 | 0 | 3 | 1 | 63 | 86 | -23 | 21 | 0.457 | 63 | 96 | 159 | 0 | 0 | 12 | 21 | 27 | 8 | 759 | 215 | 261 | 276 | 28 | 776 | 237 | 155 | 425 | 68 | 15 | 22.06% | 64 | 17 | 73.44% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 485 | 278 | 506 | 208 | 407 | 201 | 41.0% | 8.3% | 88.9% | 97.2 | Unlucky | |
Total | 23 | 7 | 12 | 0 | 0 | 0 | 3 | 1 | 63 | 86 | -23 | 21 | 0.457 | 63 | 96 | 159 | 0 | 0 | 12 | 21 | 27 | 8 | 759 | 215 | 261 | 276 | 28 | 776 | 237 | 155 | 425 | 68 | 15 | 22.06% | 64 | 17 | 73.44% | 0 | 199 | 472 | 42.16% | 189 | 492 | 38.41% | 112 | 322 | 34.78% | 485 | 278 | 506 | 208 | 407 | 201 | 41.0% | 8.3% | 88.9% | 97.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 472 |
Neutral Zone Start | 322 |
Defensive Zone Start | 492 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 500 |
Faceoffs Lost | 786 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 20.7 | 20.31 |
3rd Period | 32.7 | 30.68 |
Overtime | 33.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 48 |
---|---|
PP Goal | 15 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 6 |
Lost | 6 | 6 |
Overtime Lost | 1 | 0 |
PP Attempt | 68 |
---|---|
PP Goal | 15 |
PK Attempt | 64 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 33.0 |
Shots Against | 33.7 |
Goals For | 2.7 |
Goals Against | 3.7 |
Hits | 18.5 |
Shots Blocked | 10.3 |
Pim | 6.7 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-06 | @ | Kraken1,Golden Knights6 | RECAP | ||
2023-10-08 | @ | Kraken3,Predators1 | RECAP | ||
2023-10-10 | @ | Kraken2,Blues3 | RECAP | ||
2023-10-13 | @ | Avalanche3,Kraken1 | RECAP | ||
2023-10-15 | @ | Hurricanes5,Kraken4 (SO) | RECAP | ||
2023-10-17 | @ | Rangers5,Kraken6 (SO) | RECAP | ||
2023-10-20 | @ | Kraken1,Red Wings5 | RECAP | ||
2023-10-22 | @ | Kraken4,Hurricanes1 | RECAP | ||
2023-10-24 | @ | Kraken2,Panthers6 | RECAP | ||
2023-10-26 | @ | Kraken3,Lightning2 | RECAP | ||
2023-10-29 | @ | Predators3,Kraken4 (SO) | RECAP | ||
2023-10-31 | @ | Flames2,Kraken3 | RECAP | ||
2023-11-03 | @ | Kraken1,Coyotes4 | RECAP | ||
2023-11-05 | @ | Kraken1,Avalanche6 | RECAP | ||
2023-11-07 | @ | Oilers5,Kraken2 | RECAP | ||
2023-11-09 | @ | Avalanche4,Kraken2 | RECAP | ||
2023-11-11 | @ | Kraken3,Oilers2 (SO) | RECAP | ||
2023-11-12 | @ | Islanders6,Kraken3 | RECAP | ||
2023-11-14 | @ | Kraken5,Canucks3 | RECAP | ||
2023-11-16 | @ | Flames6,Kraken1 | RECAP | ||
2023-11-18 | @ | Sharks4,Kraken3 | RECAP | ||
2023-11-20 | @ | Canucks3,Kraken4 | RECAP | ||
2023-11-24 | @ | Kraken4,Blackhawks1 | RECAP | ||
2023-11-26 | @ | ||||
2023-11-28 | @ | ||||
2023-11-30 | @ | ||||
2023-12-03 | @ | ||||
2023-12-05 | @ | ||||
2023-12-06 | @ | ||||
2023-12-08 | @ | ||||
2023-12-10 | @ | ||||
2023-12-12 | @ | ||||
2023-12-14 | @ | ||||
2023-12-16 | @ | ||||
2023-12-19 | @ | ||||
2023-12-23 | @ | ||||
2023-12-25 | @ | ||||
2023-12-28 | @ | ||||
2023-12-31 | @ | ||||
2024-01-05 | @ | ||||
2024-01-07 | @ | ||||
2024-01-09 | @ | ||||
2024-01-11 | @ | ||||
2024-01-12 | @ | ||||
2024-01-14 | @ | ||||
2024-01-17 | @ | ||||
2024-01-20 | @ | ||||
2024-01-22 | @ | ||||
2024-01-24 | @ | ||||
2024-01-26 | @ | ||||
2024-02-06 | @ | ||||
2024-02-08 | @ | ||||
2024-02-09 | @ | ||||
2024-02-11 | @ | ||||
2024-02-15 | @ | ||||
2024-02-18 | @ | ||||
2024-02-20 | @ | ||||
2024-02-22 | @ | ||||
2024-02-25 | @ | ||||
2024-02-27 | @ | ||||
2024-02-29 | @ | ||||
2024-03-01 | @ | ||||
2024-03-04 | @ | ||||
2024-03-08 | @ | ||||
2024-03-10 | @ | ||||
2024-03-12 | @ | ||||
2024-03-14 | @ | ||||
2024-03-17 | @ | ||||
2024-03-18 | @ | ||||
2024-03-20 | @ | ||||
2024-03-22 | @ | ||||
2024-03-24 | @ | ||||
2024-03-26 | @ | ||||
2024-03-28 | @ | ||||
2024-03-30 | @ | ||||
2024-04-01 | @ | ||||
2024-04-05 | @ | ||||
2024-04-07 | @ | ||||
2024-04-09 | @ | ||||
2024-04-10 | @ | ||||
2024-04-12 | @ | ||||
2024-04-14 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
70,780,791$ | 0$ | 70,780,791$ | 11,719,209$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Climate Pledge Arena | |
City | Seattle | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 62987 | 51318 | 21262 | 41710 | 10300 |
Attendance PCT | 95.43% | 93.31% | 96.65% | 94.80% | 93.64% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 17052 - 94.74% | 613,145$ | 6,744,598$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
70,780,791$ | 70,780,791$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
18,432,500$ | 70,780,791$ | 18,432,500$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
18,394,358$ | 142 | 368,650$ | 52,348,300$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
64,522,674$ | 70,780,791$ | -131,410,873$ | -177,539,189$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |
---|---|---|---|---|---|
1 ballo Sea 2023 | |||||
Alex Formenton | Link | ||||
Alexander Rykov | 2023 | 96 | |||
Alexander Volkov | Link | ||||
Andrew Ladd | Link | ||||
Anton Wahlberg | 2023 | 45 | |||
Bogdan Konyushkov | 2023 | 87 | |||
Cameron Whynot | 2021 | 98 | |||
Charlie Stramel | 2023 | 33 | |||
Colton Dach | 2021 | 35 | |||
Cruz Lucius | 2022 | 104 | |||
Dean Kukan | Link | ||||
Denton Mateychuk | 2022 | 8 | |||
Dmitriy Simashev | 2023 | 10 | |||
Evgenii Kashnikov | 2021 | 165 | |||
Felix Unger Sorum | 2023 | 57 | |||
Filip Mesar | 2022 | 26 | |||
Filip Nordberg | 2022 | 71 | |||
Florian Xhekaj | 2023 | 78 | |||
Isaac Belliveau | 2021 | 116 | |||
Jack Hughes | 2022 | 45 | |||
Jacob Julien | 2023 | 130 | |||
Jakub Dobes | 2020 | 140 | |||
Jan Mysak | 2020 | 32 | |||
Jonathan Bernier | Link | ||||
Kaleb Lawrence | 2022 | 200 | |||
Kasper Halttunen | 2023 | 44 | |||
Leo Carlsson | 2023 | 3 | |||
Luke Tuch | 2020 | 37 | |||
Nick Caamano | Link | ||||
Oliver Kapanen | 2021 | 37 | |||
Olivier Nadeau | 2021 | 84 | |||
Olli Juolevi | Link | ||||
Oscar Klefbom | |||||
Patrick Thomas | 2023 | 86 | |||
Richard Panik | Link | ||||
Ryan Ellis | Link | ||||
Scott Perunovich | Link | ||||
Tanner Molendyk | 2023 | 34 | |||
Trevor Kuntar | 2020 | 99 | |||
Tristan Lennox | 2021 | 81 | |||
Tyler Madden | 2018 | 75 | |||
Will Butcher | Link | ||||
Yan Kuznetsov | 2020 | 69 | |||
Zachary L'Heureux | 2021 | 17 |
|