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Seattle Kraken 25-24-8, 58pts · 12th 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 | 100.00 | 69 | 42 | 91 | 83 | 66 | 77 | 96 | 81 | 84 | 74 | 71 | 66 | 38 | 61 | 61 | 73 | 50 | 0 | 21 | 897,500$/1yrs | |||
![]() | 0 | RW | 100.00 | 99 | 59 | 83 | 82 | 77 | 54 | 82 | 62 | 31 | 60 | 55 | 63 | 75 | 65 | 67 | 64 | 50 | 0 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 73 | 43 | 85 | 87 | 71 | 76 | 99 | 72 | 35 | 77 | 85 | 62 | 63 | 66 | 67 | 79 | 50 | 0 | 21 | 2,325,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 89 | 58 | 82 | 74 | 82 | 62 | 78 | 71 | 34 | 65 | 59 | 68 | 25 | 65 | 65 | 67 | 50 | 0 | 25 | 1,295,000$/1yrs | |||
![]() | 0 | C | 100.00 | 65 | 42 | 90 | 82 | 73 | 78 | 65 | 80 | 73 | 75 | 73 | 68 | 75 | 49 | 49 | 74 | 50 | 0 | 18 | 950,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 43 | 89 | 81 | 67 | 59 | 76 | 71 | 35 | 62 | 56 | 64 | 80 | 69 | 69 | 64 | 50 | 0 | 27 | 4,725,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 77 | 54 | 81 | 82 | 75 | 73 | 82 | 74 | 34 | 73 | 77 | 64 | 25 | 67 | 68 | 74 | 50 | 0 | 28 | 5,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 87 | 79 | 74 | 89 | 85 | 70 | 91 | 79 | 42 | 62 | 62 | 67 | 25 | 71 | 73 | 69 | 50 | 0 | 29 | 5,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 69 | 43 | 86 | 83 | 73 | 63 | 98 | 69 | 83 | 65 | 68 | 62 | 75 | 69 | 72 | 69 | 50 | 0 | 23 | 4,820,000$/7yrs | |||
![]() | 0 | RW | 100.00 | 75 | 70 | 86 | 75 | 70 | 79 | 82 | 68 | 50 | 65 | 65 | 69 | 62 | 59 | 59 | 69 | 50 | 0 | 26 | 1,100,000$/2yrs | |||
![]() | 0 | C/LW | 99.00 | 92 | 60 | 84 | 76 | 75 | 68 | 94 | 66 | 51 | 57 | 70 | 85 | 25 | 66 | 67 | 73 | 50 | 0 | 26 | 1,700,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 99 | 99 | 63 | 81 | 80 | 62 | 83 | 71 | 39 | 61 | 64 | 64 | 25 | 64 | 65 | 68 | 50 | 0 | 26 | 2,665,000$/2yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 59 | 41 | 96 | 83 | 72 | 76 | 96 | 80 | 55 | 77 | 87 | 72 | 80 | 65 | 66 | 81 | 50 | 0 | 25 | 3,100,000$/2yrs | |||
![]() | 0 | D | 99.00 | 67 | 42 | 85 | 86 | 66 | 88 | 94 | 93 | 25 | 80 | 64 | 82 | 53 | 67 | 69 | 76 | 50 | 0 | 25 | 9,500,000$/6yrs | |||
![]() | 0 | D | 100.00 | 86 | 46 | 79 | 74 | 85 | 79 | 94 | 64 | 25 | 54 | 48 | 88 | 80 | 76 | 80 | 65 | 50 | 0 | 32 | 4,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 67 | 41 | 92 | 80 | 61 | 67 | 58 | 76 | 25 | 64 | 47 | 63 | 25 | 49 | 50 | 61 | 50 | 0 | 25 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 93 | 99 | 51 | 70 | 90 | 68 | 73 | 69 | 25 | 52 | 49 | 70 | 25 | 56 | 56 | 61 | 50 | 0 | 22 | 828,333$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 66 | 88 | 77 | 84 | 64 | 82 | 60 | 25 | 40 | 49 | 86 | 25 | 85 | 87 | 63 | 50 | 0 | 35 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 56 | 84 | 81 | 78 | 76 | 84 | 63 | 25 | 63 | 48 | 85 | 25 | 83 | 86 | 66 | 50 | 0 | 35 | 6,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 41 | 86 | 80 | 69 | 69 | 62 | 63 | 25 | 50 | 48 | 80 | 75 | 62 | 63 | 61 | 50 | 0 | 25 | 2,333,333$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 76 | 76 | 77 | 75 | 76 | 59 | 63 | 50 | 25 | 39 | 41 | 67 | 39 | 65 | 65 | 54 | 50 | 0 | 28 | 775,000$/1yrs | |||
TEAM AVERAGE | 99.81 | 79 | 57 | 82 | 80 | 75 | 70 | 82 | 71 | 40 | 63 | 61 | 71 | 49 | 66 | 67 | 68 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 64 | 67 | 67 | 71 | 67 | 60 | 69 | 65 | 65 | 63 | 85 | 67 | 70 | 65 | 50 | 0 | 31 | 5,900,000$/4yrs |
![]() | 0 | 100.00 | 60 | 67 | 66 | 79 | 65 | 54 | 70 | 60 | 65 | 60 | 68 | 59 | 60 | 63 | 50 | 0 | 28 | 4,750,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 47 | 50 | 63 | 75 | 45 | 46 | 50 | 53 | 47 | 48 | 30 | 46 | 46 | 48 | 50 | 0 | 26 | 792,500$/1yrs |
TEAM AVERAGE | 99.00 | 57 | 61 | 65 | 75 | 59 | 53 | 63 | 59 | 59 | 57 | 61 | 57 | 59 | 59 | 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 | 71 | 42 | 96 | 83 | 65 | 69 | 64 | 78 | 28 | 70 | 81 | 69 | 75 | 59 | 59 | 76 | 54 | 0 | 22 | 800,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 95 | 56 | 85 | 75 | 72 | 61 | 91 | 63 | 44 | 61 | 66 | 64 | 25 | 54 | 55 | 68 | 68 | 0 | 22 | 859,167$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 40 | 94 | 74 | 65 | 57 | 86 | 70 | 25 | 76 | 70 | 67 | 25 | 54 | 54 | 70 | 68 | 0 | 23 | 925,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 88 | 46 | 93 | 72 | 75 | 52 | 73 | 62 | 52 | 59 | 55 | 74 | 25 | 60 | 62 | 64 | 68 | 0 | 31 | 800,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 43 | 85 | 83 | 72 | 65 | 74 | 82 | 62 | 63 | 68 | 65 | 75 | 62 | 63 | 69 | 68 | 0 | 24 | 2,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 78 | 43 | 81 | 86 | 65 | 62 | 91 | 68 | 25 | 62 | 81 | 64 | 25 | 63 | 63 | 74 | 54 | 0 | 22 | 1,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 44 | 94 | 75 | 75 | 62 | 58 | 62 | 25 | 44 | 48 | 74 | 25 | 53 | 53 | 59 | 68 | 0 | 23 | 825,000$/2yrs | |||
![]() | 0 | D | 100.00 | 80 | 78 | 86 | 67 | 78 | 72 | 79 | 46 | 25 | 35 | 41 | 63 | 39 | 44 | 44 | 54 | 68 | 0 | 21 | 870,000$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Anthony Bourgoin |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Yegor Sharangovich | 0 | C/LW/RW | 57 | 32 | 34 | 66 | 1 | 0 | 0 | 53 | 233 | 63 | 120 | 13.73% | 34 | 21.89 | 7 | 13 | 20 | 133 | 1 | 1 | 2 | 159 | 4 | 4 | 42.73% | 564 | 51 | 36 | 0 | 0 | 1.06 | 2 | 9 | ||
2 | Alexis Lafreniere | 0 | RW | 57 | 18 | 34 | 52 | 7 | 37 | 5 | 79 | 175 | 46 | 95 | 10.29% | 25 | 19.03 | 3 | 9 | 12 | 113 | 0 | 0 | 0 | 33 | 1 | 2 | 29.73% | 74 | 48 | 17 | 1 | 0 | 0.96 | 0 | 3 | ||
3 | Adam Fox | 0 | D | 57 | 8 | 41 | 49 | 11 | 36 | 0 | 72 | 150 | 64 | 73 | 5.33% | 89 | 27.30 | 5 | 5 | 10 | 146 | 0 | 1 | 1 | 155 | 0 | 0 | 0.00% | 0 | 53 | 65 | 0 | 0 | 0.63 | 0 | 0 | ||
4 | Matthew Beniers | 0 | C | 57 | 19 | 29 | 48 | -10 | 6 | 0 | 91 | 168 | 52 | 108 | 11.31% | 31 | 20.98 | 7 | 7 | 14 | 129 | 1 | 1 | 2 | 137 | 3 | 0 | 49.48% | 1431 | 34 | 13 | 0 | 0 | 0.80 | 2 | 8 | ||
5 | Tyler Bertuzzi | 0 | RW | 57 | 17 | 19 | 36 | 6 | 18 | 0 | 74 | 115 | 34 | 75 | 14.78% | 15 | 15.28 | 0 | 4 | 4 | 109 | 0 | 0 | 0 | 0 | 1 | 1 | 33.33% | 30 | 35 | 8 | 0 | 0 | 0.83 | 0 | 0 | ||
6 | Josh Anderson | 0 | LW/RW | 57 | 19 | 14 | 33 | 1 | 45 | 5 | 110 | 154 | 40 | 86 | 12.34% | 18 | 17.29 | 3 | 3 | 6 | 128 | 1 | 0 | 1 | 55 | 5 | 1 | 39.66% | 58 | 30 | 15 | 0 | 0 | 0.67 | 0 | 1 | ||
7 | Leo Carlsson | 0 | C | 57 | 14 | 14 | 28 | 3 | 2 | 0 | 34 | 138 | 37 | 80 | 10.14% | 19 | 11.82 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 0 | 50.60% | 249 | 41 | 11 | 0 | 0 | 0.83 | 0 | 0 | ||
8 | Ben Chiarot | 0 | D | 57 | 5 | 17 | 22 | -2 | 49 | 5 | 109 | 81 | 23 | 32 | 6.17% | 95 | 26.09 | 3 | 3 | 6 | 146 | 0 | 0 | 0 | 145 | 0 | 1 | 0.00% | 0 | 8 | 64 | 0 | 0 | 0.30 | 1 | 1 | ||
9 | Jesperi Kotkaniemi | 0 | C | 57 | 8 | 14 | 22 | 12 | 6 | 0 | 54 | 99 | 35 | 55 | 8.08% | 14 | 14.94 | 2 | 1 | 3 | 85 | 0 | 1 | 1 | 70 | 1 | 1 | 49.81% | 536 | 29 | 18 | 0 | 0 | 0.52 | 1 | 3 | ||
10 | Jeff Petry | 0 | D | 58 | 1 | 18 | 19 | -6 | 38 | 0 | 98 | 66 | 38 | 25 | 1.52% | 93 | 24.62 | 1 | 5 | 6 | 163 | 0 | 1 | 1 | 126 | 0 | 0 | 0.00% | 0 | 9 | 45 | 0 | 0 | 0.27 | 0 | 1 | ||
11 | Yakov Trenin | 0 | C/LW | 57 | 6 | 13 | 19 | 7 | 8 | 0 | 90 | 66 | 25 | 31 | 9.09% | 23 | 14.17 | 0 | 2 | 2 | 28 | 0 | 0 | 0 | 15 | 0 | 2 | 40.00% | 40 | 13 | 17 | 0 | 0 | 0.47 | 1 | 6 | ||
12 | Tanner Jeannot | 0 | LW/RW | 58 | 4 | 12 | 16 | -6 | 56 | 10 | 64 | 82 | 33 | 52 | 4.88% | 18 | 9.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 12 | 21 | 5 | 0 | 0 | 0.56 | 0 | 0 | ||
13 | Jake Bean | 0 | D | 57 | 1 | 10 | 11 | -7 | 14 | 0 | 20 | 41 | 11 | 12 | 2.44% | 49 | 13.69 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 2 | 27 | 1 | 0 | 0.28 | 0 | 0 | ||
14 | Rem Pitlick | 0 | RW | 57 | 3 | 8 | 11 | -7 | 13 | 5 | 40 | 58 | 16 | 36 | 5.17% | 11 | 9.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 12 | 10 | 4 | 0 | 0 | 0.42 | 0 | 0 | ||
15 | Arber Xhekaj | 0 | D | 57 | 1 | 4 | 5 | 2 | 113 | 35 | 96 | 28 | 11 | 19 | 3.57% | 45 | 16.13 | 0 | 0 | 0 | 24 | 0 | 0 | 0 | 61 | 0 | 0 | 0.00% | 0 | 4 | 22 | 0 | 0 | 0.11 | 0 | 0 | ||
16 | Erik Johnson | 0 | D | 52 | 0 | 4 | 4 | 3 | 12 | 0 | 53 | 37 | 12 | 24 | 0.00% | 56 | 18.89 | 0 | 0 | 0 | 74 | 0 | 0 | 0 | 87 | 0 | 0 | 0.00% | 0 | 3 | 26 | 0 | 0 | 0.08 | 0 | 0 | ||
17 | Samuel Blais | 0 | RW | 57 | 3 | 0 | 3 | -8 | 14 | 0 | 66 | 21 | 4 | 13 | 14.29% | 3 | 8.74 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 11.11% | 9 | 2 | 6 | 0 | 0 | 0.12 | 0 | 1 | ||
18 | Max Jones | 0 | RW | 57 | 1 | 1 | 2 | -3 | 0 | 0 | 10 | 18 | 6 | 10 | 5.56% | 5 | 2.35 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 3 | 2 | 0 | 0 | 0.30 | 0 | 1 | ||
19 | Robert Hagg | 0 | D | 5 | 0 | 1 | 1 | -3 | 0 | 0 | 3 | 2 | 2 | 1 | 0.00% | 6 | 14.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.27 | 0 | 0 | ||
20 | Scott Perunovich | 0 | D | 10 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Kevin Labanc | 0 | LW/RW | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 1.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1048 | 160 | 287 | 447 | 2 | 467 | 65 | 1217 | 1733 | 552 | 947 | 9.23% | 649 | 15.93 | 31 | 52 | 83 | 1292 | 3 | 5 | 8 | 1075 | 18 | 12 | 47.20% | 3015 | 396 | 405 | 2 | 0 | 0.54 | 7 | 34 |
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 | 29 | 13 | 12 | 3 | 0.903 | 3.02 | 1730 | 0 | 0 | 87 | 898 | 526 | 1 | 3 | 0.733 | 15 | 29 | 15 | 3 | 3 | 0 | |
2 | Philipp Grubauer | 24 | 12 | 8 | 4 | 0.916 | 2.77 | 1428 | 2 | 0 | 66 | 783 | 453 | 1 | 3 | 0.643 | 14 | 23 | 29 | 3 | 2 | 2 | |
3 | Felix Sandstrom | 5 | 0 | 4 | 1 | 0.878 | 4.33 | 305 | 0 | 0 | 22 | 181 | 119 | 0 | 0 | 0.500 | 2 | 5 | 13 | 1 | 0 | 0 | |
Team Total or Average | 58 | 25 | 24 | 8 | 0.906 | 3.03 | 3463 | 2 | 0 | 175 | 1862 | 1098 | 2 | 6 | 0.677 | 31 | 57 | 57 | 7 | 5 | 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 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 1 | 0 | 0 | 60 | 20 | 23 | 17 | 0 | 65 | 21 | 35 | 46 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 42 | 24 | 44 | 17 | 33 | 16 | 28.6% | 3.3% | 90.8% | 94.1 | Unlucky | |
2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | -8 | 0 | 0.000 | 7 | 9 | 16 | 0 | 0 | 3 | 4 | 0 | 0 | 100 | 41 | 30 | 29 | 0 | 100 | 45 | 12 | 69 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 62 | 36 | 65 | 26 | 51 | 24 | 31.6% | 7.0% | 85.0% | 92.0 | Unlucky | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 3 | 25 | 4 | 12 | 9 | 8 | 46 | 7 | 10 | 14 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 19 | 9 | 26 | 10 | 19 | 9 | 42.9% | 12.0% | 91.3% | 103.3 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 33 | 11 | 16 | 6 | 0 | 39 | 14 | 6 | 20 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 19 | 11 | 24 | 8 | 16 | 8 | 57.1% | 18.2% | 89.7% | 107.9 | FUN | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 69 | 16 | 23 | 30 | 0 | 54 | 23 | 16 | 44 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 40 | 22 | 44 | 18 | 34 | 16 | 20.0% | 2.9% | 88.9% | 91.8 | Unlucky | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 70 | 16 | 25 | 29 | 0 | 77 | 33 | 15 | 51 | 6 | 3 | 50.00% | 6 | 1 | 83.33% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 40 | 23 | 45 | 17 | 33 | 16 | 40.0% | 7.1% | 94.8% | 101.9 | DULL | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 24 | 5 | 4 | 15 | 0 | 33 | 11 | 6 | 27 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 20 | 10 | 20 | 8 | 19 | 9 | 100.0% | 16.7% | 97.0% | 113.6 | LUCKY | |
8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 0 | 1 | 30 | 9 | 8 | 12 | 1 | 28 | 12 | 14 | 15 | 1 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 20 | 11 | 19 | 10 | 19 | 8 | 60.0% | 10.0% | 92.9% | 102.9 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 29 | 8 | 6 | 15 | 0 | 26 | 8 | 10 | 21 | 3 | 2 | 66.67% | 5 | 2 | 60.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 19 | 10 | 21 | 10 | 19 | 8 | 100.0% | 10.3% | 92.3% | 102.7 | LUCKY | |
10 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 11 | -2 | 3 | 0.500 | 9 | 15 | 24 | 0 | 0 | 3 | 3 | 3 | 0 | 93 | 28 | 40 | 25 | 4 | 104 | 34 | 26 | 58 | 4 | 0 | 0.00% | 13 | 3 | 76.92% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 59 | 31 | 72 | 28 | 52 | 23 | 52.9% | 9.7% | 89.4% | 99.1 | FUN | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 12 | 17 | 3 | 0 | 31 | 7 | 15 | 21 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 22 | 12 | 20 | 9 | 17 | 8 | 100.0% | 6.3% | 96.8% | 103.0 | DULL | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 1 | 0 | 1 | 1 | 4 | 0 | 73 | 21 | 23 | 29 | 0 | 72 | 19 | 13 | 41 | 9 | 1 | 11.11% | 4 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 41 | 22 | 41 | 18 | 36 | 18 | 50.0% | 8.2% | 93.1% | 101.3 | DULL | |
13 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 8 | 1 | 3 | 0.750 | 9 | 14 | 23 | 0 | 0 | 1 | 3 | 5 | 0 | 67 | 19 | 30 | 18 | 3 | 72 | 18 | 14 | 48 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 41 | 23 | 49 | 19 | 34 | 16 | 60.0% | 13.4% | 88.9% | 102.3 | FUN | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 29 | 8 | 11 | 10 | 0 | 33 | 11 | 6 | 22 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 21 | 11 | 22 | 9 | 16 | 8 | 25.0% | 3.4% | 90.9% | 94.4 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 14 | 23 | 0 | 0 | 3 | 2 | 4 | 0 | 65 | 10 | 24 | 31 | 0 | 62 | 21 | 9 | 53 | 9 | 3 | 33.33% | 2 | 1 | 50.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 42 | 23 | 41 | 18 | 36 | 18 | 42.9% | 13.8% | 85.5% | 99.3 | FUN | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 3 | 4 | 4 | 0 | 75 | 24 | 29 | 22 | 0 | 60 | 15 | 31 | 40 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 41 | 24 | 44 | 17 | 34 | 16 | 76.9% | 14.7% | 91.7% | 106.3 | LUCKY | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 60 | 18 | 19 | 23 | 0 | 69 | 20 | 12 | 55 | 6 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 42 | 24 | 42 | 17 | 35 | 17 | 40.0% | 6.7% | 88.4% | 95.1 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 13 | 20 | 2 | 0 | 3 | 2 | 2 | 0 | 70 | 25 | 17 | 28 | 0 | 61 | 14 | 11 | 42 | 4 | 1 | 25.00% | 3 | 2 | 33.33% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 44 | 27 | 39 | 18 | 35 | 17 | 40.0% | 10.0% | 82.0% | 92.0 | FUN | |
19 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 3 | 0.750 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 55 | 17 | 22 | 16 | 3 | 60 | 32 | 23 | 45 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 40 | 21 | 45 | 19 | 38 | 18 | 57.1% | 7.3% | 95.0% | 102.3 | DULL | |
20 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 0.333 | 7 | 11 | 18 | 1 | 0 | 1 | 5 | 1 | 0 | 100 | 26 | 35 | 39 | 0 | 86 | 23 | 22 | 63 | 10 | 2 | 20.00% | 11 | 3 | 72.73% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 62 | 34 | 65 | 28 | 52 | 26 | 35.7% | 7.0% | 86.0% | 93.0 | Unlucky | |
21 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 0 | 1 | 4 | 2 | 71 | 20 | 16 | 34 | 4 | 63 | 19 | 8 | 31 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 2 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 44 | 27 | 45 | 18 | 35 | 17 | 50.0% | 8.5% | 88.9% | 97.3 | Unlucky | |
22 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 52 | 15 | 16 | 21 | 3 | 55 | 17 | 12 | 38 | 6 | 1 | 16.67% | 6 | 3 | 50.00% | 1 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 40 | 21 | 46 | 20 | 37 | 19 | 50.0% | 7.7% | 89.1% | 96.8 | Unlucky | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 1 | 1 | 4 | 0 | 40 | 14 | 7 | 19 | 0 | 31 | 6 | 16 | 26 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 20 | 11 | 20 | 9 | 18 | 9 | 83.3% | 15.0% | 93.5% | 108.5 | LUCKY | |
24 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 1 | 0 | 36 | 9 | 16 | 11 | 0 | 22 | 10 | 4 | 27 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 23 | 13 | 19 | 8 | 18 | 9 | 44.4% | 11.1% | 77.3% | 88.4 | FUN | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 3 | 4 | 1 | 0 | 72 | 22 | 27 | 23 | 0 | 79 | 18 | 21 | 35 | 9 | 2 | 22.22% | 9 | 4 | 55.56% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 39 | 23 | 47 | 19 | 33 | 14 | 60.0% | 11.1% | 89.9% | 101.0 | FUN | |
26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 0 | 2 | 4 | 0 | 59 | 22 | 20 | 17 | 0 | 69 | 29 | 14 | 42 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 36 | 20 | 49 | 18 | 33 | 16 | 50.0% | 10.2% | 88.4% | 98.6 | FUN | |
27 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 3 | 3 | 3 | 0 | 72 | 25 | 19 | 28 | 0 | 63 | 20 | 12 | 40 | 2 | 1 | 50.00% | 6 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 43 | 25 | 40 | 17 | 35 | 17 | 61.5% | 12.5% | 92.1% | 104.6 | LUCKY | |
28 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 1 | 2 | 1 | 3 | 62 | 17 | 23 | 21 | 5 | 67 | 25 | 10 | 45 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 41 | 22 | 45 | 19 | 38 | 18 | 66.7% | 9.7% | 94.0% | 103.7 | LUCKY | |
29 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 68 | 12 | 27 | 27 | 2 | 66 | 21 | 14 | 33 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 37 | 19 | 50 | 19 | 35 | 17 | 42.9% | 5.9% | 93.9% | 99.8 | DULL | |
30 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 14 | 9 | 5 | 6 | 1.000 | 14 | 23 | 37 | 0 | 0 | 6 | 3 | 4 | 1 | 113 | 43 | 37 | 33 | 2 | 103 | 27 | 18 | 49 | 9 | 5 | 55.56% | 9 | 2 | 77.78% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 66 | 41 | 64 | 28 | 53 | 25 | 56.3% | 12.4% | 91.3% | 103.7 | LUCKY | |
31 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 9 | -4 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 62 | 19 | 18 | 25 | 3 | 72 | 22 | 8 | 49 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 43 | 24 | 45 | 18 | 36 | 18 | 33.3% | 8.1% | 87.5% | 95.6 | Unlucky | |
_Vs Division | 17 | 4 | 11 | 0 | 0 | 0 | 1 | 1 | 52 | 69 | -17 | 11 | 0.324 | 52 | 87 | 139 | 4 | 0 | 14 | 20 | 17 | 1 | 577 | 197 | 180 | 200 | 5 | 563 | 179 | 98 | 355 | 45 | 11 | 24.44% | 45 | 12 | 73.33% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 357 | 205 | 372 | 157 | 299 | 147 | 41.8% | 9.0% | 87.7% | 96.8 | FUN | |
_Vs Conference | 30 | 8 | 15 | 0 | 2 | 1 | 2 | 2 | 96 | 111 | -15 | 27 | 0.450 | 96 | 156 | 252 | 5 | 0 | 26 | 37 | 29 | 5 | 995 | 321 | 342 | 330 | 15 | 985 | 320 | 207 | 637 | 76 | 14 | 18.42% | 92 | 21 | 77.17% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 626 | 358 | 661 | 277 | 533 | 258 | 47.7% | 9.6% | 88.7% | 98.4 | FUN | |
_Since Last GM Reset | 57 | 20 | 24 | 0 | 2 | 2 | 3 | 6 | 176 | 187 | -11 | 58 | 0.509 | 176 | 286 | 462 | 6 | 0 | 42 | 64 | 65 | 10 | 1866 | 556 | 640 | 665 | 38 | 1868 | 602 | 443 | 1210 | 150 | 30 | 20.00% | 177 | 41 | 76.84% | 3 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 1181 | 669 | 1271 | 532 | 1015 | 492 | 50.0% | 9.4% | 90.0% | 99.4 | FUN | |
Total | 57 | 20 | 24 | 0 | 2 | 2 | 3 | 6 | 176 | 187 | -11 | 58 | 0.509 | 176 | 286 | 462 | 6 | 0 | 42 | 64 | 65 | 10 | 1866 | 556 | 640 | 665 | 38 | 1868 | 602 | 443 | 1210 | 150 | 30 | 20.00% | 177 | 41 | 76.84% | 3 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 1181 | 669 | 1271 | 532 | 1015 | 492 | 50.0% | 9.4% | 90.0% | 99.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1188 |
Neutral Zone Start | 846 |
Defensive Zone Start | 1103 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1465 |
Faceoffs Lost | 1672 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 32.6 | 30.68 |
Overtime | 33.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 137 |
---|---|
PP Goal | 30 |
PK Goal | 3 |
Empty Net Goal | 6 |
Home | Away | |
---|---|---|
Win | 17 | 8 |
Lost | 12 | 12 |
Overtime Lost | 2 | 6 |
PP Attempt | 150 |
---|---|
PP Goal | 30 |
PK Attempt | 177 |
PK Goal Against | 41 |
Home | |
---|---|
Shots For | 32.7 |
Shots Against | 32.8 |
Goals For | 3.1 |
Goals Against | 3.3 |
Hits | 21.2 |
Shots Blocked | 10.6 |
Pim | 7.8 |
Projected Total Cap Hit | 75,481,666$ |
Projected Cap Space | 8,018,334$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 46,728,069$ |
Players In Salary Cap | 24 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox ![]() | D | 25 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | ||
Alexis Lafreniere ![]() | RW | 21 | 2,325,000$ | 2,325,000$ | 2,325,000$ | ||||||
Arber Xhekaj ![]() | D | 22 | 828,333$ | 828,333$ | |||||||
Ben Chiarot ![]() | D | 32 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Erik Johnson ![]() | D | 35 | 3,250,000$ | 3,250,000$ | |||||||
Felix Sandstrom ![]() | G | 26 | 792,500$ | 792,500$ | |||||||
Jake Bean ![]() | D | 25 | 2,333,333$ | 2,333,333$ | |||||||
Jeff Petry ![]() | D | 35 | 6,250,000$ | 6,250,000$ | 6,250,000$ | ||||||
Jesperi Kotkaniemi ![]() | C | 23 | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | |
Josh Anderson ![]() | LW/RW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||
Kevin Labanc ![]() | LW/RW | 27 | 4,725,000$ | 4,725,000$ | |||||||
Leo Carlsson ![]() | C | 18 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Matthew Beniers ![]() | C | 21 | 897,500$ | 897,500$ | |||||||
Max Jones ![]() | RW | 25 | 1,295,000$ | 1,295,000$ | |||||||
Philipp Grubauer ![]() | G | 31 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | ||||
Rem Pitlick ![]() | RW | 26 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Robert Hagg ![]() | D | 28 | 775,000$ | 775,000$ | |||||||
Samuel Blais ![]() | RW | 27 | 1,000,000$ | 1,000,000$ | |||||||
Scott Perunovich ![]() | D | 25 | 775,000$ | 775,000$ | |||||||
Tanner Jeannot ![]() | LW/RW | 26 | 2,665,000$ | 2,665,000$ | 2,665,000$ | ||||||
Tyler Bertuzzi ![]() | RW | 28 | 5,500,000$ | 5,500,000$ | |||||||
Ville Husso ![]() | G | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | ||||||
Yakov Trenin ![]() | C/LW | 26 | 1,700,000$ | 1,700,000$ | |||||||
Yegor Sharangovich ![]() | C/LW/RW | 25 | 3,100,000$ | 3,100,000$ | 3,100,000$ |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 1 | 0 | 0 | 60 | 20 | 23 | 17 | 0 | 65 | 21 | 35 | 46 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 42 | 24 | 44 | 17 | 33 | 16 | 28.6% | 3.3% | 90.8% | 94.1 | Unlucky | |
2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | -8 | 0 | 0.000 | 7 | 9 | 16 | 0 | 0 | 3 | 4 | 0 | 0 | 100 | 41 | 30 | 29 | 0 | 100 | 45 | 12 | 69 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 62 | 36 | 65 | 26 | 51 | 24 | 31.6% | 7.0% | 85.0% | 92.0 | Unlucky | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 3 | 25 | 4 | 12 | 9 | 8 | 46 | 7 | 10 | 14 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 19 | 9 | 26 | 10 | 19 | 9 | 42.9% | 12.0% | 91.3% | 103.3 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 33 | 11 | 16 | 6 | 0 | 39 | 14 | 6 | 20 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 19 | 11 | 24 | 8 | 16 | 8 | 57.1% | 18.2% | 89.7% | 107.9 | FUN | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 69 | 16 | 23 | 30 | 0 | 54 | 23 | 16 | 44 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 40 | 22 | 44 | 18 | 34 | 16 | 20.0% | 2.9% | 88.9% | 91.8 | Unlucky | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 70 | 16 | 25 | 29 | 0 | 77 | 33 | 15 | 51 | 6 | 3 | 50.00% | 6 | 1 | 83.33% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 40 | 23 | 45 | 17 | 33 | 16 | 40.0% | 7.1% | 94.8% | 101.9 | DULL | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 24 | 5 | 4 | 15 | 0 | 33 | 11 | 6 | 27 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 20 | 10 | 20 | 8 | 19 | 9 | 100.0% | 16.7% | 97.0% | 113.6 | LUCKY | |
8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 0 | 1 | 30 | 9 | 8 | 12 | 1 | 28 | 12 | 14 | 15 | 1 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 20 | 11 | 19 | 10 | 19 | 8 | 60.0% | 10.0% | 92.9% | 102.9 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 29 | 8 | 6 | 15 | 0 | 26 | 8 | 10 | 21 | 3 | 2 | 66.67% | 5 | 2 | 60.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 19 | 10 | 21 | 10 | 19 | 8 | 100.0% | 10.3% | 92.3% | 102.7 | LUCKY | |
10 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 11 | -2 | 3 | 0.500 | 9 | 15 | 24 | 0 | 0 | 3 | 3 | 3 | 0 | 93 | 28 | 40 | 25 | 4 | 104 | 34 | 26 | 58 | 4 | 0 | 0.00% | 13 | 3 | 76.92% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 59 | 31 | 72 | 28 | 52 | 23 | 52.9% | 9.7% | 89.4% | 99.1 | FUN | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 12 | 17 | 3 | 0 | 31 | 7 | 15 | 21 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 22 | 12 | 20 | 9 | 17 | 8 | 100.0% | 6.3% | 96.8% | 103.0 | DULL | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 1 | 0 | 1 | 1 | 4 | 0 | 73 | 21 | 23 | 29 | 0 | 72 | 19 | 13 | 41 | 9 | 1 | 11.11% | 4 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 41 | 22 | 41 | 18 | 36 | 18 | 50.0% | 8.2% | 93.1% | 101.3 | DULL | |
13 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 8 | 1 | 3 | 0.750 | 9 | 14 | 23 | 0 | 0 | 1 | 3 | 5 | 0 | 67 | 19 | 30 | 18 | 3 | 72 | 18 | 14 | 48 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 41 | 23 | 49 | 19 | 34 | 16 | 60.0% | 13.4% | 88.9% | 102.3 | FUN | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 29 | 8 | 11 | 10 | 0 | 33 | 11 | 6 | 22 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 21 | 11 | 22 | 9 | 16 | 8 | 25.0% | 3.4% | 90.9% | 94.4 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 14 | 23 | 0 | 0 | 3 | 2 | 4 | 0 | 65 | 10 | 24 | 31 | 0 | 62 | 21 | 9 | 53 | 9 | 3 | 33.33% | 2 | 1 | 50.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 42 | 23 | 41 | 18 | 36 | 18 | 42.9% | 13.8% | 85.5% | 99.3 | FUN | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 3 | 4 | 4 | 0 | 75 | 24 | 29 | 22 | 0 | 60 | 15 | 31 | 40 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 41 | 24 | 44 | 17 | 34 | 16 | 76.9% | 14.7% | 91.7% | 106.3 | LUCKY | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 60 | 18 | 19 | 23 | 0 | 69 | 20 | 12 | 55 | 6 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 42 | 24 | 42 | 17 | 35 | 17 | 40.0% | 6.7% | 88.4% | 95.1 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 13 | 20 | 2 | 0 | 3 | 2 | 2 | 0 | 70 | 25 | 17 | 28 | 0 | 61 | 14 | 11 | 42 | 4 | 1 | 25.00% | 3 | 2 | 33.33% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 44 | 27 | 39 | 18 | 35 | 17 | 40.0% | 10.0% | 82.0% | 92.0 | FUN | |
19 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 3 | 0.750 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 55 | 17 | 22 | 16 | 3 | 60 | 32 | 23 | 45 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 40 | 21 | 45 | 19 | 38 | 18 | 57.1% | 7.3% | 95.0% | 102.3 | DULL | |
20 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 0.333 | 7 | 11 | 18 | 1 | 0 | 1 | 5 | 1 | 0 | 100 | 26 | 35 | 39 | 0 | 86 | 23 | 22 | 63 | 10 | 2 | 20.00% | 11 | 3 | 72.73% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 62 | 34 | 65 | 28 | 52 | 26 | 35.7% | 7.0% | 86.0% | 93.0 | Unlucky | |
21 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 0 | 1 | 4 | 2 | 71 | 20 | 16 | 34 | 4 | 63 | 19 | 8 | 31 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 2 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 44 | 27 | 45 | 18 | 35 | 17 | 50.0% | 8.5% | 88.9% | 97.3 | Unlucky | |
22 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 52 | 15 | 16 | 21 | 3 | 55 | 17 | 12 | 38 | 6 | 1 | 16.67% | 6 | 3 | 50.00% | 1 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 40 | 21 | 46 | 20 | 37 | 19 | 50.0% | 7.7% | 89.1% | 96.8 | Unlucky | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 1 | 1 | 4 | 0 | 40 | 14 | 7 | 19 | 0 | 31 | 6 | 16 | 26 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 20 | 11 | 20 | 9 | 18 | 9 | 83.3% | 15.0% | 93.5% | 108.5 | LUCKY | |
24 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 1 | 0 | 36 | 9 | 16 | 11 | 0 | 22 | 10 | 4 | 27 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 23 | 13 | 19 | 8 | 18 | 9 | 44.4% | 11.1% | 77.3% | 88.4 | FUN | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 3 | 4 | 1 | 0 | 72 | 22 | 27 | 23 | 0 | 79 | 18 | 21 | 35 | 9 | 2 | 22.22% | 9 | 4 | 55.56% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 39 | 23 | 47 | 19 | 33 | 14 | 60.0% | 11.1% | 89.9% | 101.0 | FUN | |
26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 0 | 2 | 4 | 0 | 59 | 22 | 20 | 17 | 0 | 69 | 29 | 14 | 42 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 36 | 20 | 49 | 18 | 33 | 16 | 50.0% | 10.2% | 88.4% | 98.6 | FUN | |
27 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 3 | 3 | 3 | 0 | 72 | 25 | 19 | 28 | 0 | 63 | 20 | 12 | 40 | 2 | 1 | 50.00% | 6 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 43 | 25 | 40 | 17 | 35 | 17 | 61.5% | 12.5% | 92.1% | 104.6 | LUCKY | |
28 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 1 | 2 | 1 | 3 | 62 | 17 | 23 | 21 | 5 | 67 | 25 | 10 | 45 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 41 | 22 | 45 | 19 | 38 | 18 | 66.7% | 9.7% | 94.0% | 103.7 | LUCKY | |
29 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 68 | 12 | 27 | 27 | 2 | 66 | 21 | 14 | 33 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 37 | 19 | 50 | 19 | 35 | 17 | 42.9% | 5.9% | 93.9% | 99.8 | DULL | |
30 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 14 | 9 | 5 | 6 | 1.000 | 14 | 23 | 37 | 0 | 0 | 6 | 3 | 4 | 1 | 113 | 43 | 37 | 33 | 2 | 103 | 27 | 18 | 49 | 9 | 5 | 55.56% | 9 | 2 | 77.78% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 66 | 41 | 64 | 28 | 53 | 25 | 56.3% | 12.4% | 91.3% | 103.7 | LUCKY | |
31 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 9 | -4 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 62 | 19 | 18 | 25 | 3 | 72 | 22 | 8 | 49 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 43 | 24 | 45 | 18 | 36 | 18 | 33.3% | 8.1% | 87.5% | 95.6 | Unlucky | |
_Vs Division | 17 | 4 | 11 | 0 | 0 | 0 | 1 | 1 | 52 | 69 | -17 | 11 | 0.324 | 52 | 87 | 139 | 4 | 0 | 14 | 20 | 17 | 1 | 577 | 197 | 180 | 200 | 5 | 563 | 179 | 98 | 355 | 45 | 11 | 24.44% | 45 | 12 | 73.33% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 357 | 205 | 372 | 157 | 299 | 147 | 41.8% | 9.0% | 87.7% | 96.8 | FUN | |
_Vs Conference | 30 | 8 | 15 | 0 | 2 | 1 | 2 | 2 | 96 | 111 | -15 | 27 | 0.450 | 96 | 156 | 252 | 5 | 0 | 26 | 37 | 29 | 5 | 995 | 321 | 342 | 330 | 15 | 985 | 320 | 207 | 637 | 76 | 14 | 18.42% | 92 | 21 | 77.17% | 0 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 626 | 358 | 661 | 277 | 533 | 258 | 47.7% | 9.6% | 88.7% | 98.4 | FUN | |
_Since Last GM Reset | 57 | 20 | 24 | 0 | 2 | 2 | 3 | 6 | 176 | 187 | -11 | 58 | 0.509 | 176 | 286 | 462 | 6 | 0 | 42 | 64 | 65 | 10 | 1866 | 556 | 640 | 665 | 38 | 1868 | 602 | 443 | 1210 | 150 | 30 | 20.00% | 177 | 41 | 76.84% | 3 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 1181 | 669 | 1271 | 532 | 1015 | 492 | 50.0% | 9.4% | 90.0% | 99.4 | FUN | |
Total | 57 | 20 | 24 | 0 | 2 | 2 | 3 | 6 | 176 | 187 | -11 | 58 | 0.509 | 176 | 286 | 462 | 6 | 0 | 42 | 64 | 65 | 10 | 1866 | 556 | 640 | 665 | 38 | 1868 | 602 | 443 | 1210 | 150 | 30 | 20.00% | 177 | 41 | 76.84% | 3 | 557 | 1188 | 46.89% | 504 | 1103 | 45.69% | 404 | 846 | 47.75% | 1181 | 669 | 1271 | 532 | 1015 | 492 | 50.0% | 9.4% | 90.0% | 99.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1188 |
Neutral Zone Start | 846 |
Defensive Zone Start | 1103 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1465 |
Faceoffs Lost | 1672 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 32.6 | 30.68 |
Overtime | 33.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 137 |
---|---|
PP Goal | 30 |
PK Goal | 3 |
Empty Net Goal | 6 |
Home | Away | |
---|---|---|
Win | 17 | 8 |
Lost | 12 | 12 |
Overtime Lost | 2 | 6 |
PP Attempt | 150 |
---|---|
PP Goal | 30 |
PK Attempt | 177 |
PK Goal Against | 41 |
Home | |
---|---|
Shots For | 32.7 |
Shots Against | 32.8 |
Goals For | 3.1 |
Goals Against | 3.3 |
Hits | 21.2 |
Shots Blocked | 10.6 |
Pim | 7.8 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2024-10-05 | @ | Blues2,Kraken3 (OT) | RECAP | ||
2024-10-09 | @ | Kraken4,Wild5 (OT) | RECAP | ||
2024-10-10 | @ | Kraken1,Stars3 | RECAP | ||
2024-10-12 | @ | Kraken3,Predators1 | RECAP | ||
2024-10-14 | @ | Flyers1,Kraken4 | RECAP | ||
2024-10-16 | @ | Flames2,Kraken4 | RECAP | ||
2024-10-19 | @ | Avalanche5,Kraken2 | RECAP | ||
2024-10-21 | @ | Jets2,Kraken1 | RECAP | ||
2024-10-23 | @ | Hurricanes3,Kraken2 (OT) | RECAP | ||
2024-10-26 | @ | Kraken3,Canadiens4 (SO) | RECAP | ||
2024-10-28 | @ | Kraken5,Maple Leafs3 | RECAP | ||
2024-10-30 | @ | Kraken2,Senators3 | RECAP | ||
2024-10-31 | @ | Kraken1,Bruins3 | RECAP | ||
2024-11-02 | @ | Kraken2,Avalanche3 (SO) | RECAP | ||
2024-11-05 | @ | Golden Knights6,Kraken3 | RECAP | ||
2024-11-09 | @ | Blue Jackets3,Kraken2 | RECAP | ||
2024-11-11 | @ | Blackhawks2,Kraken3 (SO) | RECAP | ||
2024-11-13 | @ | Islanders3,Kraken1 | RECAP | ||
2024-11-14 | @ | Rangers5,Kraken3 | RECAP | ||
2024-11-17 | @ | Predators4,Kraken8 | RECAP | ||
2024-11-20 | @ | Kraken0,Kings1 | RECAP | ||
2024-11-22 | @ | Kraken3,Ducks5 | RECAP | ||
2024-11-24 | @ | Ducks3,Kraken2 | RECAP | ||
2024-11-26 | @ | Kraken3,Sharks7 | RECAP | ||
2024-11-27 | @ | Sharks4,Kraken2 | RECAP | ||
2024-11-30 | @ | Kraken2,Hurricanes1 | RECAP | ||
2024-12-02 | @ | Kraken1,Islanders3 | RECAP | ||
2024-12-03 | @ | Kraken5,Devils2 | RECAP | ||
2024-12-05 | @ | Kraken3,Rangers2 (SO) | RECAP | ||
2024-12-07 | @ | Panthers2,Kraken6 | RECAP | ||
2024-12-09 | @ | Bruins3,Kraken1 | RECAP | ||
2024-12-11 | @ | Lightning2,Kraken3 | RECAP | ||
2024-12-14 | @ | Senators5,Kraken6 | RECAP | ||
2024-12-16 | @ | Kraken3,Blackhawks2 (OT) | RECAP | ||
2024-12-18 | @ | Kraken2,Golden Knights3 (SO) | RECAP | ||
2024-12-19 | @ | Kraken5,Avalanche3 | RECAP | ||
2024-12-25 | @ | Kraken2,Canucks4 | RECAP | ||
2024-12-27 | @ | Utah Hockey Club4,Kraken6 | RECAP | ||
2024-12-30 | @ | Canucks1,Kraken4 | RECAP | ||
2025-01-01 | @ | Oilers6,Kraken4 | RECAP | ||
2025-01-03 | @ | Devils3,Kraken4 | RECAP | ||
2025-01-06 | @ | Kraken2,Blue Jackets3 (SO) | RECAP | ||
2025-01-08 | @ | Kraken1,Sabres2 (SO) | RECAP | ||
2025-01-09 | @ | Kraken2,Red Wings3 | RECAP | ||
2025-01-11 | @ | Kraken3,Penguins5 | RECAP | ||
2025-01-13 | @ | Kraken3,Jets6 | RECAP | ||
2025-01-15 | @ | Kings7,Kraken6 | RECAP | ||
2025-01-17 | @ | Sabres1,Kraken3 | RECAP | ||
2025-01-20 | @ | Capitals1,Kraken2 | RECAP | ||
2025-01-22 | @ | Penguins4,Kraken6 | RECAP | ||
2025-01-24 | @ | Kraken3,Oilers5 | RECAP | ||
2025-01-25 | @ | Ducks7,Kraken2 | RECAP | ||
2025-01-27 | @ | Sharks1,Kraken2 | RECAP | ||
2025-01-30 | @ | Flames4,Kraken5 (SO) | RECAP | ||
2025-02-01 | @ | Red Wings1,Kraken3 | RECAP | ||
2025-02-03 | @ | Maple Leafs5,Kraken4 (SO) | RECAP | ||
2025-02-05 | @ | Kraken5,Flames3 | RECAP | ||
2025-02-19 | @ | ||||
2025-02-20 | @ | ||||
2025-02-22 | @ | ||||
2025-02-26 | @ | ||||
2025-03-01 | @ | ||||
2025-03-03 | @ | ||||
2025-03-05 | @ | ||||
2025-03-06 | @ | ||||
2025-03-09 | @ | ||||
2025-03-11 | @ | ||||
2025-03-13 | @ | ||||
2025-03-15 | @ | ||||
2025-03-16 | @ | ||||
2025-03-19 | @ | ||||
2025-03-22 | @ | ||||
2025-03-24 | @ | ||||
2025-03-26 | @ | ||||
2025-03-28 | @ | ||||
2025-03-30 | @ | ||||
2025-04-02 | @ | ||||
2025-04-04 | @ | ||||
2025-04-05 | @ | ||||
2025-04-07 | @ | ||||
2025-04-09 | @ | ||||
2025-04-12 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,481,666$ | 0$ | 75,481,666$ | 8,018,334$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Climate Pledge Arena | |
City | Seattle | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 177247 | 148774 | 59196 | 116466 | 29465 |
Attendance PCT | 95.29% | 95.98% | 95.48% | 93.92% | 95.05% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
10 | 17134 - 95.19% | 617,390$ | 19,139,103$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,481,666$ | 75,481,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
46,728,069$ | 75,481,666$ | 46,728,069$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
6,173,904$ | 68 | 385,111$ | 26,187,548$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
26,816,478$ | 75,481,666$ | -211,652,285$ | -232,294,859$ |
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 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
1 ballo Sea 2024 | |||||
Alexander Rykov | 2023 | 96 | |||
Anton Wahlberg | 2023 | 45 | |||
Aron Kiviharju | 2024 | 56 | |||
Berkly Catton | 2024 | 7 | |||
Bogdan Konyushkov | 2023 | 87 | |||
Cameron Whynot | 2021 | 98 | |||
Charlie Stramel | 2023 | 33 | |||
Colin Ralph | 2024 | 65 | |||
Colton Dach | 2021 | 35 | |||
Cruz Lucius | 2022 | 104 | |||
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 | |||
Hunter St. Martin | 2024 | 193 | |||
Isaac Belliveau | 2021 | 116 | |||
Ivan Yunin | 2024 | 138 | |||
Jack Hughes | 2022 | 45 | |||
Jacob Julien | 2023 | 130 | |||
Jakub Dobes | 2020 | 140 | |||
Jakub Milota | 2024 | 89 | |||
Jan Mysak | 2020 | 32 | |||
Jesse Pulkkinen | 2024 | 71 | |||
Joe Connor | 2024 | 202 | |||
Kaleb Lawrence | 2022 | 200 | |||
Kasper Halttunen | 2023 | 44 | |||
Kieffer Bellows | Link | ||||
Laurent Dauphin | Link | ||||
Louka Cloutier | 2024 | 129 | |||
Lucas Pettersson | 2024 | 33 | |||
Luke Tuch | 2020 | 37 | |||
Macklin Celebrini | 2024 | 1 | |||
Oliver Kapanen | 2021 | 37 | |||
Patrick Thomas | 2023 | 86 | |||
Spencer Knight | Link | ||||
Tanner Molendyk | 2023 | 34 | |||
Timofei Obvintsev | 2024 | 161 | |||
Trevor Kuntar | 2020 | 99 | |||
Tristan Lennox | 2021 | 81 | |||
Tyler Madden | 2018 | 75 | |||
Xavier Veilleux | 2024 | 170 | |||
Zachary L'Heureux | 2021 | 17 |
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