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Full Scoreboard » |
Seattle Kraken 34-28-6, 74pts · 10th in Western Conference |
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 | 63 | 36 | 87 | 77 | 82 | 85 | 75 | 72 | 74 | 76 | 73 | 67 | 75 | 67 | 69 | 79 | 75 | 0 | 25 | 4,437,500$/3yrs | |||
![]() | 0 | C | 100.00 | 75 | 45 | 84 | 67 | 69 | 78 | 89 | 64 | 75 | 61 | 62 | 83 | 63 | 65 | 67 | 60 | 75 | 0 | 25 | 1,180,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 83 | 59 | 79 | 68 | 73 | 89 | 87 | 66 | 63 | 67 | 68 | 61 | 67 | 69 | 71 | 36 | 75 | 0 | 29 | 1,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 39 | 95 | 69 | 83 | 80 | 87 | 67 | 55 | 60 | 65 | 76 | 64 | 63 | 66 | 81 | 75 | 0 | 23 | 850,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 37 | 91 | 75 | 87 | 85 | 80 | 76 | 64 | 72 | 82 | 63 | 77 | 65 | 71 | 82 | 75 | 0 | 25 | 3,437,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 92 | 83 | 65 | 66 | 84 | 82 | 85 | 64 | 57 | 63 | 61 | 74 | 62 | 68 | 70 | 37 | 75 | 0 | 27 | 2,665,000$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 33 | 88 | 77 | 67 | 90 | 72 | 78 | 74 | 76 | 73 | 64 | 79 | 58 | 68 | 94 | 75 | 0 | 19 | 950,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 64 | 34 | 95 | 77 | 68 | 88 | 85 | 76 | 63 | 80 | 73 | 75 | 74 | 83 | 78 | 30 | 75 | 0 | 35 | 3,410,000$/1yrs | |||
![]() | 97 | LW/RW | 100.00 | 69 | 38 | 78 | 73 | 76 | 88 | 87 | 74 | 57 | 76 | 76 | 75 | 72 | 85 | 80 | 34 | 75 | 0 | 35 | 6,500,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 80 | 57 | 84 | 72 | 74 | 87 | 90 | 73 | 62 | 74 | 70 | 65 | 71 | 73 | 72 | 62 | 75 | 0 | 29 | 5,000,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 66 | 36 | 93 | 82 | 81 | 88 | 89 | 81 | 58 | 78 | 80 | 67 | 83 | 70 | 72 | 69 | 75 | 0 | 28 | 6,650,000$/1yrs | |||
![]() | 25 | C/LW/RW | 100.00 | 72 | 36 | 92 | 70 | 79 | 87 | 83 | 68 | 63 | 71 | 65 | 79 | 67 | 70 | 69 | 42 | 75 | 0 | 29 | 3,250,000$/2yrs | |||
![]() | 23 | D | 100.00 | 71 | 36 | 77 | 72 | 79 | 90 | 85 | 69 | 30 | 77 | 64 | 71 | 55 | 86 | 75 | 52 | 75 | 0 | 33 | 3,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 64 | 43 | 72 | 75 | 68 | 90 | 79 | 72 | 30 | 79 | 71 | 63 | 58 | 71 | 70 | 67 | 75 | 0 | 29 | 2,500,000$/1yrs | |||
![]() | 49 | D | 100.00 | 93 | 81 | 72 | 62 | 85 | 86 | 85 | 58 | 30 | 72 | 57 | 78 | 48 | 87 | 75 | 45 | 75 | 0 | 35 | 2,850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 36 | 90 | 69 | 81 | 90 | 73 | 65 | 30 | 68 | 54 | 80 | 50 | 62 | 64 | 75 | 75 | 0 | 24 | 925,000$/2yrs | |||
![]() | 11 | D | 100.00 | 75 | 58 | 78 | 67 | 79 | 92 | 88 | 63 | 30 | 77 | 56 | 86 | 50 | 71 | 69 | 62 | 75 | 0 | 28 | 4,025,175$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 37 | 95 | 70 | 85 | 92 | 89 | 66 | 30 | 77 | 64 | 95 | 53 | 77 | 71 | 47 | 75 | 0 | 30 | 5,300,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 23 | LW | 0.00 | 76 | 74 | 71 | 73 | 80 | 88 | 61 | 75 | 72 | 79 | 81 | 68 | 76 | 79 | 92 | 68 | 75 | 0 | 32 | 9,290,000$/4yrs | |||
![]() | 0 | C | 100.00 | 68 | 37 | 89 | 72 | 85 | 84 | 81 | 71 | 79 | 70 | 67 | 64 | 72 | 65 | 68 | 85 | 75 | 0 | 25 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 41 | 89 | 67 | 68 | 83 | 85 | 65 | 30 | 73 | 59 | 63 | 50 | 63 | 65 | 62 | 75 | 0 | 24 | 1,500,000$/2yrs | |||
TEAM AVERAGE | 95.24 | 71 | 46 | 84 | 71 | 78 | 87 | 83 | 70 | 54 | 73 | 68 | 72 | 65 | 71 | 72 | 60 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 80 | 77 | 73 | 96 | 79 | 78 | 80 | 79 | 78 | 80 | 79 | 64 | 71 | 65 | 75 | 0 | 24 | 783,333$/3yrs |
![]() | 0 | 98.50 | 91 | 88 | 83 | 81 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 74 | 84 | 54 | 75 | 0 | 30 | 4,000,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 86 | 83 | 78 | 89 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 69 | 78 | 60 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Kris Knoblauch | 78 | 80 | 83 | 79 | 68 | 64 | 81 | CAN | 45 | 2 | 1,150,000$ |
General Manager | Dominik Long |
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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 | Brock Boeser | 0 | RW | 67 | 25 | 37 | 62 | 15 | 6 | 0 | 37 | 209 | 58 | 121 | 11.96% | 5 | 17.29 | 7 | 11 | 18 | 213 | 0 | 0 | 0 | 0 | 3 | 0 | 43.02% | 86 | 0 | 0 | 0 | 0 | 1.07 | 0 | 1 | ||
2 | Marcus Pettersson | 11 | D | 68 | 13 | 45 | 58 | -9 | 77 | 15 | 134 | 95 | 30 | 57 | 13.68% | 103 | 23.65 | 9 | 13 | 22 | 195 | 0 | 1 | 1 | 204 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
3 | Filip Chytil | 0 | C | 66 | 20 | 37 | 57 | 6 | 18 | 0 | 35 | 169 | 54 | 163 | 11.83% | 6 | 19.04 | 3 | 12 | 15 | 188 | 0 | 0 | 0 | 41 | 1 | 1 | 47.54% | 1649 | 0 | 0 | 0 | 1 | 0.91 | 1 | 2 | ||
4 | Connor Bedard | 0 | C | 68 | 21 | 33 | 54 | -20 | 18 | 0 | 53 | 195 | 65 | 144 | 10.77% | 6 | 19.79 | 8 | 13 | 21 | 211 | 0 | 0 | 0 | 0 | 2 | 2 | 47.51% | 1770 | 0 | 0 | 0 | 0 | 0.80 | 0 | 2 | ||
5 | Mason Appleton | 25 | C/LW/RW | 68 | 19 | 35 | 54 | 24 | 10 | 0 | 61 | 210 | 44 | 140 | 9.05% | 21 | 19.39 | 5 | 11 | 16 | 179 | 0 | 0 | 0 | 166 | 4 | 1 | 44.47% | 434 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | ||
6 | Alex Killorn | 97 | LW/RW | 67 | 27 | 23 | 50 | -13 | 60 | 0 | 103 | 208 | 42 | 158 | 12.98% | 8 | 19.60 | 9 | 11 | 20 | 185 | 0 | 0 | 0 | 0 | 4 | 3 | 42.59% | 108 | 0 | 0 | 0 | 1 | 0.76 | 1 | 1 | ||
7 | Ivan Barbashev | 0 | C/LW/RW | 68 | 22 | 21 | 43 | 16 | 44 | 0 | 137 | 171 | 64 | 107 | 12.87% | 3 | 18.37 | 6 | 4 | 10 | 214 | 0 | 0 | 0 | 10 | 6 | 1 | 40.35% | 114 | 0 | 0 | 0 | 1 | 0.69 | 0 | 0 | ||
8 | Gabriel Vilardi | 0 | C/RW | 68 | 22 | 20 | 42 | -23 | 6 | 0 | 49 | 233 | 59 | 165 | 9.44% | 7 | 20.16 | 7 | 4 | 11 | 216 | 0 | 0 | 0 | 7 | 4 | 2 | 51.52% | 132 | 0 | 0 | 0 | 0 | 0.61 | 0 | 2 | ||
9 | Jaccob Slavin | 0 | D | 65 | 9 | 33 | 42 | -2 | 14 | 0 | 30 | 90 | 28 | 86 | 10.00% | 96 | 21.60 | 4 | 10 | 14 | 162 | 0 | 1 | 1 | 210 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | ||
10 | Gustav Nyquist | 0 | C/LW/RW | 64 | 16 | 21 | 37 | -14 | 10 | 0 | 30 | 128 | 39 | 84 | 12.50% | 15 | 12.29 | 0 | 2 | 2 | 13 | 0 | 0 | 0 | 9 | 3 | 0 | 40.23% | 256 | 0 | 0 | 0 | 0 | 0.94 | 1 | 3 | ||
11 | Oliver Ekman-Larsson | 23 | D | 61 | 9 | 24 | 33 | -12 | 52 | 0 | 91 | 76 | 32 | 54 | 11.84% | 49 | 21.29 | 4 | 8 | 12 | 197 | 0 | 0 | 0 | 63 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
12 | Luke Schenn | 49 | D | 68 | 9 | 19 | 28 | 2 | 127 | 15 | 213 | 53 | 14 | 36 | 16.98% | 88 | 17.80 | 1 | 3 | 4 | 74 | 0 | 1 | 1 | 176 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
13 | Cody Glass | 0 | C | 67 | 11 | 14 | 25 | 0 | 10 | 0 | 29 | 94 | 30 | 46 | 11.70% | 1 | 9.53 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 2 | 1 | 53.04% | 805 | 0 | 0 | 0 | 0 | 0.78 | 0 | 1 | ||
14 | Simon Holmstrom | 0 | LW/RW | 68 | 12 | 9 | 21 | -3 | 12 | 0 | 27 | 103 | 27 | 56 | 11.65% | 12 | 12.03 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 179 | 1 | 1 | 33.85% | 65 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
15 | Jackson LaCombe | 0 | D | 66 | 0 | 21 | 21 | -5 | 20 | 0 | 21 | 44 | 7 | 31 | 0.00% | 108 | 18.13 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 220 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
16 | Connor Dewar | 0 | C | 54 | 8 | 7 | 15 | -6 | 4 | 0 | 18 | 62 | 16 | 40 | 12.90% | 13 | 10.10 | 2 | 3 | 5 | 31 | 1 | 1 | 2 | 221 | 1 | 0 | 47.34% | 826 | 0 | 0 | 1 | 0 | 0.55 | 0 | 0 | ||
17 | Tanner Jeannot | 0 | LW/RW | 68 | 4 | 6 | 10 | -3 | 67 | 5 | 90 | 59 | 15 | 44 | 6.78% | 2 | 7.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0 | 1 | 49.35% | 77 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
18 | Tony DeAngelo | 0 | D | 15 | 0 | 9 | 9 | 0 | 4 | 0 | 5 | 16 | 8 | 22 | 0.00% | 9 | 16.66 | 0 | 4 | 4 | 47 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
19 | Kiefer Sherwood | 0 | C/LW/RW | 61 | 6 | 2 | 8 | -5 | 40 | 0 | 110 | 46 | 13 | 28 | 13.04% | 6 | 13.01 | 0 | 1 | 1 | 54 | 0 | 0 | 0 | 57 | 2 | 1 | 41.18% | 119 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
20 | Jordan Spence | 0 | D | 22 | 0 | 2 | 2 | -2 | 7 | 5 | 7 | 11 | 1 | 6 | 0.00% | 7 | 10.60 | 0 | 2 | 2 | 58 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
Team Total or Average | 1219 | 253 | 418 | 671 | -54 | 606 | 40 | 1280 | 2272 | 646 | 1588 | 11.14% | 565 | 16.65 | 65 | 112 | 177 | 2264 | 1 | 4 | 5 | 1624 | 39 | 17 | 47.28% | 6441 | 0 | 0 | 1 | 3 | 0.66 | 3 | 12 |
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 | Joonas Korpisalo | Kraken | 40 | 18 | 15 | 3 | 0.897 | 3.36 | 2176 | 2 | 0 | 122 | 1185 | 0 | 1 | 1 | 0.667 | 3 | 36 | 32 | 2 | 4 | 0 |
2 | Erik Portillo | Kraken | 5 | 2 | 2 | 0 | 0.886 | 3.69 | 244 | 0 | 0 | 15 | 132 | 0 | 0 | 0 | 0.000 | 0 | 4 | 11 | 0 | 0 | 0 |
Team Total or Average | 45 | 20 | 17 | 3 | 0.896 | 3.40 | 2421 | 2 | 0 | 137 | 1317 | 0 | 1 | 1 | 0.667 | 3 | 40 | 43 | 2 | 4 | 0 |
Projected Total Cap Hit | 67,342,438$ |
Projected Cap Space | 20,657,562$ |
Retains And Buyout Cap Hit | 269,132$ |
Salary Cap To Date | 55,675,598$ |
Players In Salary Cap | 25 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Killorn ![]() | LW/RW | 35 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Brock Boeser ![]() | RW | 28 | 6,650,000$ | 6,650,000$ | RFA | ||||||
Cody Glass | C | 25 | 2,500,000$ | 2,500,000$ | RFA | ||||||
Connor Bedard ![]() | C | 19 | 950,000$ | 950,000$ | 950,000$ | ||||||
Connor Dewar | C | 25 | 1,180,000$ | 1,180,000$ | RFA | ||||||
Erik Portillo ![]() | C/G | 24 | 783,333$ | 783,333$ | 783,333$ | 783,333$ | RFA | ||||
Filip Chytil | C/G | 25 | 4,437,500$ | 4,437,500$ | 4,437,500$ | 4,437,500$ | RFA | ||||
Gabriel Landeskog ![]() ![]() | LW | 32 | 9,290,000$ | 9,290,000$ | 9,290,000$ | 9,290,000$ | 9,290,000$ | UFA | |||
Gabriel Vilardi | C/RW | 25 | 3,437,000$ | 3,437,000$ | RFA | ||||||
Gustav Nyquist | C/LW/RW | 35 | 3,410,000$ | 3,410,000$ | UFA | ||||||
Ivan Barbashev ![]() | C/LW/RW | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||
Jaccob Slavin | D | 30 | 5,300,000$ | 5,300,000$ | |||||||
Jackson LaCombe ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Joonas Korpisalo ![]() | C/LW/RW/G | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||
Jordan Spence | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | |||||
Kiefer Sherwood | C/LW/RW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Luke Schenn | D | 35 | 2,850,000$ | 2,850,000$ | 2,850,000$ | UFA | |||||
Marcus Pettersson | D | 28 | 4,025,175$ | 4,025,175$ | RFA | ||||||
Mason Appleton | C/LW/RW | 29 | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||||
Oliver Ekman-Larsson ![]() | D/G | 33 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Simon Holmstrom ![]() | LW/RW | 23 | 850,000$ | 850,000$ | RFA | ||||||
Tanner Jeannot | LW/RW | 27 | 2,665,000$ | 2,665,000$ | RFA | ||||||
Tony DeAngelo | D | 29 | 2,500,000$ | 2,500,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 1 | 3 | 1 | 54 | 11 | 17 | 24 | 2 | 59 | 13 | 25 | 48 | 7 | 2 | 28.57% | 9 | 3 | 66.67% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 47 | 31 | 46 | 15 | 27 | 12 | 36.4% | 11.1% | 83.1% | 94.2 | FUN | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 2 | 0.333 | 8 | 15 | 23 | 0 | 0 | 4 | 4 | 0 | 0 | 96 | 34 | 38 | 24 | 0 | 101 | 26 | 18 | 55 | 10 | 1 | 10.00% | 9 | 0 | 100.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 71 | 49 | 70 | 21 | 37 | 18 | 36.8% | 8.3% | 88.1% | 96.5 | Unlucky | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 3 | 4 | 1 | 0 | 57 | 21 | 24 | 12 | 0 | 59 | 26 | 16 | 43 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 43 | 30 | 53 | 14 | 23 | 11 | 77.8% | 14.0% | 96.6% | 110.6 | LUCKY | |
4 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 9 | -1 | 3 | 0.500 | 8 | 14 | 22 | 0 | 0 | 5 | 2 | 1 | 0 | 80 | 25 | 27 | 28 | 0 | 98 | 33 | 32 | 57 | 15 | 2 | 13.33% | 15 | 1 | 93.33% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 70 | 48 | 74 | 22 | 36 | 18 | 42.9% | 10.0% | 90.8% | 100.8 | FUN | |
5 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 8 | -5 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 72 | 23 | 26 | 19 | 7 | 62 | 17 | 4 | 36 | 10 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 57 | 40 | 41 | 14 | 26 | 14 | 27.3% | 4.2% | 87.1% | 91.3 | Unlucky | |
6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 1 | 4 | 6 | 0 | 98 | 28 | 34 | 36 | 0 | 102 | 27 | 30 | 63 | 8 | 1 | 12.50% | 14 | 0 | 100.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 69 | 48 | 73 | 20 | 37 | 18 | 52.6% | 11.2% | 91.2% | 102.4 | LUCKY | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 1 | 0 | 1 | 0 | 61 | 20 | 20 | 21 | 0 | 48 | 29 | 20 | 34 | 9 | 1 | 11.11% | 9 | 2 | 77.78% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 47 | 33 | 48 | 13 | 23 | 11 | 20.0% | 3.3% | 87.5% | 90.8 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 2 | 4 | 2 | 0 | 64 | 23 | 14 | 27 | 0 | 84 | 21 | 16 | 37 | 7 | 3 | 42.86% | 8 | 1 | 87.50% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 43 | 29 | 50 | 15 | 26 | 12 | 41.7% | 12.5% | 90.5% | 103.0 | FUN | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 0 | 0.000 | 8 | 15 | 23 | 1 | 0 | 1 | 3 | 4 | 0 | 60 | 13 | 22 | 25 | 0 | 75 | 16 | 21 | 20 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 47 | 32 | 47 | 14 | 25 | 12 | 43.8% | 13.3% | 85.3% | 98.7 | FUN | |
10 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 4 | 0 | 2 | 0 | 83 | 28 | 27 | 28 | 0 | 127 | 32 | 31 | 67 | 14 | 2 | 14.29% | 11 | 2 | 81.82% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 66 | 45 | 75 | 21 | 37 | 17 | 40.0% | 7.2% | 93.7% | 100.9 | DULL | |
11 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 2 | 0.333 | 8 | 15 | 23 | 0 | 0 | 4 | 2 | 2 | 0 | 85 | 23 | 26 | 36 | 0 | 94 | 19 | 20 | 55 | 11 | 2 | 18.18% | 10 | 1 | 90.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 68 | 47 | 71 | 22 | 40 | 19 | 33.3% | 9.4% | 86.2% | 95.6 | FUN | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 1 | 1 | 4 | 0 | 33 | 11 | 9 | 13 | 0 | 27 | 9 | 0 | 16 | 6 | 3 | 50.00% | 0 | 0 | 0.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 22 | 15 | 24 | 7 | 13 | 6 | 75.0% | 18.2% | 96.3% | 114.5 | LUCKY | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 4 | 3 | 4 | 0 | 75 | 17 | 29 | 29 | 0 | 52 | 27 | 27 | 44 | 8 | 3 | 37.50% | 5 | 2 | 60.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 47 | 31 | 45 | 15 | 27 | 13 | 88.9% | 14.7% | 94.2% | 108.9 | LUCKY | |
14 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 3 | 2 | 4 | 0 | 102 | 34 | 35 | 33 | 0 | 110 | 37 | 28 | 71 | 13 | 4 | 30.77% | 13 | 7 | 46.15% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 66 | 43 | 72 | 22 | 41 | 20 | 35.7% | 8.8% | 85.5% | 94.3 | Unlucky | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 4 | 2 | 2 | 0 | 53 | 16 | 17 | 20 | 0 | 66 | 20 | 16 | 27 | 4 | 2 | 50.00% | 7 | 1 | 85.71% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 46 | 32 | 48 | 14 | 25 | 11 | 66.7% | 15.1% | 93.9% | 109.0 | LUCKY | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 2 | 3 | 3 | 0 | 61 | 13 | 15 | 33 | 0 | 69 | 21 | 14 | 32 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 1 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 41 | 27 | 52 | 16 | 26 | 13 | 58.3% | 13.1% | 91.3% | 104.4 | LUCKY | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 63 | 23 | 23 | 17 | 0 | 62 | 22 | 16 | 30 | 5 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 45 | 30 | 49 | 15 | 25 | 12 | 30.0% | 4.8% | 85.5% | 90.2 | Unlucky | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 3 | 2 | 5 | 0 | 69 | 27 | 20 | 22 | 0 | 61 | 21 | 22 | 36 | 11 | 5 | 45.45% | 10 | 0 | 100.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 49 | 35 | 45 | 15 | 24 | 12 | 62.5% | 14.5% | 95.1% | 109.6 | LUCKY | |
19 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 8 | 14 | 0 | 0 | 2 | 2 | 1 | 1 | 65 | 18 | 22 | 22 | 3 | 62 | 28 | 28 | 47 | 9 | 3 | 33.33% | 13 | 2 | 84.62% | 1 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 51 | 34 | 48 | 15 | 26 | 13 | 42.9% | 9.2% | 90.3% | 99.6 | FUN | |
20 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 2 | 3 | 3 | 0 | 75 | 26 | 19 | 30 | 0 | 60 | 19 | 10 | 46 | 9 | 3 | 33.33% | 4 | 1 | 75.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 49 | 35 | 46 | 14 | 24 | 11 | 50.0% | 10.7% | 90.0% | 100.7 | FUN | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 6 | 1 | 3 | 0 | 64 | 20 | 19 | 25 | 0 | 52 | 26 | 16 | 37 | 13 | 3 | 23.08% | 8 | 0 | 100.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 49 | 34 | 45 | 15 | 24 | 12 | 53.8% | 15.6% | 88.5% | 104.1 | FUN | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 4 | 0 | 2 | 0 | 68 | 23 | 25 | 20 | 0 | 50 | 11 | 20 | 36 | 9 | 1 | 11.11% | 8 | 3 | 62.50% | 1 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 48 | 32 | 46 | 16 | 25 | 12 | 41.7% | 8.8% | 80.0% | 88.8 | Unlucky | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 1 | 5 | 2 | 0 | 60 | 22 | 20 | 18 | 0 | 70 | 21 | 18 | 36 | 11 | 4 | 36.36% | 8 | 1 | 87.50% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 49 | 33 | 44 | 14 | 26 | 13 | 44.4% | 13.3% | 91.4% | 104.8 | LUCKY | |
24 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 54 | 14 | 20 | 20 | 0 | 80 | 15 | 24 | 45 | 6 | 2 | 33.33% | 10 | 1 | 90.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 41 | 27 | 53 | 15 | 25 | 12 | 28.6% | 7.4% | 92.5% | 99.9 | DULL | |
25 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 57 | 18 | 18 | 21 | 0 | 77 | 16 | 24 | 23 | 8 | 1 | 12.50% | 12 | 3 | 75.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 45 | 30 | 52 | 14 | 23 | 11 | 40.0% | 5.3% | 92.2% | 97.5 | DULL | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 67 | 24 | 25 | 18 | 0 | 42 | 14 | 20 | 39 | 8 | 1 | 12.50% | 10 | 2 | 80.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 50 | 35 | 42 | 14 | 26 | 14 | 60.0% | 6.0% | 90.5% | 96.4 | Unlucky | |
27 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 10 | -3 | 1 | 0.250 | 7 | 12 | 19 | 0 | 0 | 3 | 3 | 1 | 0 | 61 | 24 | 25 | 11 | 1 | 74 | 20 | 26 | 29 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 49 | 35 | 48 | 13 | 24 | 12 | 35.7% | 11.5% | 86.5% | 98.0 | FUN | |
28 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 3 | 2 | 2 | 0 | 57 | 15 | 25 | 17 | 0 | 54 | 16 | 22 | 53 | 5 | 2 | 40.00% | 9 | 1 | 88.89% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 42 | 27 | 50 | 15 | 26 | 13 | 71.4% | 12.3% | 94.4% | 106.7 | LUCKY | |
29 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 3 | 4 | 2 | 0 | 84 | 25 | 32 | 27 | 0 | 63 | 11 | 10 | 38 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 48 | 35 | 45 | 14 | 25 | 12 | 61.5% | 10.7% | 90.5% | 101.2 | FUN | |
30 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 15 | 9 | 6 | 6 | 1.000 | 15 | 26 | 41 | 0 | 0 | 7 | 5 | 2 | 2 | 96 | 24 | 35 | 32 | 10 | 90 | 19 | 28 | 64 | 12 | 2 | 16.67% | 13 | 1 | 92.31% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 74 | 50 | 71 | 22 | 39 | 19 | 61.9% | 15.6% | 90.0% | 105.6 | FUN | |
31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 1 | 5 | 2 | 0 | 59 | 18 | 19 | 22 | 0 | 66 | 17 | 45 | 46 | 8 | 2 | 25.00% | 13 | 5 | 61.54% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 42 | 26 | 50 | 16 | 27 | 13 | 60.0% | 13.6% | 86.4% | 99.9 | FUN | |
_Vs Division | 18 | 10 | 6 | 0 | 0 | 1 | 1 | 0 | 64 | 60 | 4 | 23 | 0.639 | 64 | 117 | 181 | 0 | 0 | 25 | 19 | 19 | 2 | 564 | 182 | 182 | 195 | 10 | 612 | 178 | 196 | 387 | 82 | 20 | 24.39% | 79 | 17 | 78.48% | 0 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 418 | 285 | 436 | 135 | 231 | 113 | 50.6% | 11.3% | 90.2% | 101.5 | FUN | |
_Vs Conference | 36 | 18 | 15 | 0 | 0 | 2 | 1 | 0 | 121 | 119 | 2 | 40 | 0.556 | 121 | 224 | 345 | 0 | 0 | 42 | 40 | 38 | 2 | 1122 | 352 | 363 | 402 | 10 | 1211 | 330 | 338 | 729 | 145 | 34 | 23.45% | 147 | 23 | 84.35% | 1 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 826 | 565 | 875 | 271 | 463 | 228 | 47.5% | 10.8% | 90.2% | 101.0 | FUN | |
_Since Last GM Reset | 68 | 31 | 28 | 0 | 2 | 5 | 1 | 1 | 226 | 225 | 1 | 74 | 0.544 | 226 | 413 | 639 | 2 | 0 | 80 | 73 | 70 | 4 | 2133 | 661 | 727 | 730 | 23 | 2196 | 649 | 647 | 1310 | 265 | 61 | 23.02% | 267 | 47 | 82.40% | 3 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 1592 | 1091 | 1636 | 510 | 872 | 430 | 48.1% | 10.6% | 89.8% | 100.3 | FUN | |
Total | 68 | 31 | 28 | 0 | 2 | 5 | 1 | 1 | 226 | 225 | 1 | 74 | 0.544 | 226 | 413 | 639 | 2 | 0 | 80 | 73 | 70 | 4 | 2133 | 661 | 727 | 730 | 23 | 2196 | 649 | 647 | 1310 | 265 | 61 | 23.02% | 267 | 47 | 82.40% | 3 | 1175 | 2434 | 48.27% | 1235 | 2576 | 47.94% | 537 | 1127 | 47.65% | 1592 | 1091 | 1636 | 510 | 872 | 430 | 48.1% | 10.6% | 89.8% | 100.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2434 |
Neutral Zone Start | 1127 |
Defensive Zone Start | 2576 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2947 |
Faceoffs Lost | 3190 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.7 | 9.57 |
2nd Period | 20.4 | 20.31 |
3rd Period | 31.1 | 30.68 |
Overtime | 31.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 160 |
---|---|
PP Goal | 61 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 16 | 18 |
Lost | 16 | 12 |
Overtime Lost | 4 | 2 |
PP Attempt | 265 |
---|---|
PP Goal | 61 |
PK Attempt | 267 |
PK Goal Against | 47 |
Home | |
---|---|
Shots For | 31.4 |
Shots Against | 32.3 |
Goals For | 3.3 |
Goals Against | 3.3 |
Hits | 19.3 |
Shots Blocked | 9.5 |
Pim | 9.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-08 | @ | Blues4,Kraken3 | RECAP | |||||||||||
2024-10-12 | @ | Kraken3,Wild2 | RECAP | |||||||||||
2024-10-13 | @ | Kraken6,Stars1 | RECAP | |||||||||||
2024-10-15 | @ | Kraken3,Predators4 | RECAP | |||||||||||
2024-10-17 | @ | Flyers2,Kraken1 (SO) | RECAP | |||||||||||
2024-10-19 | @ | Flames5,Kraken4 | RECAP | |||||||||||
2024-10-22 | @ | Avalanche2,Kraken4 | RECAP | |||||||||||
2024-10-24 | @ | Jets6,Kraken3 | RECAP | |||||||||||
2024-10-26 | @ | Hurricanes3,Kraken1 | RECAP | |||||||||||
2024-10-29 | @ | Kraken1,Canadiens2 (OT) | RECAP | |||||||||||
2024-10-31 | @ | Kraken5,Maple Leafs1 | RECAP | |||||||||||
2024-11-02 | @ | Kraken2,Senators4 | RECAP | |||||||||||
2024-11-03 | @ | Kraken4,Bruins3 (OT) | RECAP | |||||||||||
2024-11-05 | @ | Kraken3,Avalanche5 | RECAP | |||||||||||
2024-11-08 | @ | Golden Knights5,Kraken2 | RECAP | |||||||||||
2024-11-12 | @ | Blue Jackets5,Kraken3 | RECAP | |||||||||||
2024-11-14 | @ | Blackhawks4,Kraken3 | RECAP | |||||||||||
2024-11-16 | @ | Islanders3,Kraken5 | RECAP | |||||||||||
2024-11-17 | @ | Rangers5,Kraken3 | RECAP | |||||||||||
2024-11-20 | @ | Predators3,Kraken5 | RECAP | |||||||||||
2024-11-23 | @ | Kraken3,Kings1 | RECAP | |||||||||||
2024-11-25 | @ | Kraken2,Ducks4 | RECAP | |||||||||||
2024-11-27 | @ | Ducks2,Kraken1 | RECAP | |||||||||||
2024-11-29 | @ | Kraken4,Sharks3 (SO) | RECAP | |||||||||||
2024-11-30 | @ | Sharks3,Kraken6 | RECAP | |||||||||||
2024-12-03 | @ | Kraken2,Hurricanes6 | RECAP | |||||||||||
2024-12-05 | @ | Kraken5,Islanders3 | RECAP | |||||||||||
2024-12-06 | @ | Kraken3,Devils1 | RECAP | |||||||||||
2024-12-08 | @ | Kraken4,Rangers5 (OT) | RECAP | |||||||||||
2024-12-10 | @ | Panthers3,Kraken1 | RECAP | |||||||||||
2024-12-12 | @ | Bruins7,Kraken2 | RECAP | |||||||||||
2024-12-14 | @ | Lightning4,Kraken5 | RECAP | |||||||||||
2024-12-17 | @ | Senators2,Kraken1 (OT) | RECAP | |||||||||||
2024-12-19 | @ | Kraken5,Blackhawks2 | RECAP | |||||||||||
2024-12-21 | @ | Kraken6,Golden Knights4 | RECAP | |||||||||||
2024-12-22 | @ | Kraken1,Avalanche5 | RECAP | |||||||||||
2024-12-28 | @ | Kraken2,Canucks1 | RECAP | |||||||||||
2024-12-30 | @ | Hockey Club2,Kraken1 (OT) | RECAP | |||||||||||
2025-01-02 | @ | Canucks3,Kraken2 | RECAP | |||||||||||
2025-01-04 | @ | Oilers4,Kraken5 | RECAP | |||||||||||
2025-01-06 | @ | Devils3,Kraken5 | RECAP | |||||||||||
2025-01-09 | @ | Kraken3,Blue Jackets5 | RECAP | |||||||||||
2025-01-11 | @ | Kraken2,Sabres1 | RECAP | |||||||||||
2025-01-12 | @ | Kraken4,Red Wings2 | RECAP | |||||||||||
2025-01-14 | @ | Kraken1,Penguins3 | RECAP | |||||||||||
2025-01-16 | @ | Kraken2,Jets5 | RECAP | |||||||||||
2025-01-18 | @ | Kings2,Kraken7 | RECAP | |||||||||||
2025-01-20 | @ | Sabres2,Kraken9 | RECAP | |||||||||||
2025-01-23 | @ | Capitals5,Kraken3 | RECAP | |||||||||||
2025-01-25 | @ | Penguins3,Kraken1 | RECAP | |||||||||||
2025-01-27 | @ | Kraken3,Oilers2 | RECAP | |||||||||||
2025-01-28 | @ | Ducks2,Kraken3 | RECAP | |||||||||||
2025-01-30 | @ | Sharks3,Kraken5 | RECAP | |||||||||||
2025-02-02 | @ | Flames3,Kraken4 | RECAP | |||||||||||
2025-02-04 | @ | Red Wings1,Kraken3 | RECAP | |||||||||||
2025-02-06 | @ | Maple Leafs1,Kraken3 | RECAP | |||||||||||
2025-02-08 | @ | Kraken1,Flames8 | RECAP | |||||||||||
2025-02-22 | @ | Kraken7,Panthers3 | RECAP | |||||||||||
2025-02-23 | @ | Kraken4,Lightning2 | RECAP | |||||||||||
2025-02-25 | @ | Kraken5,Blues4 | RECAP | |||||||||||
2025-03-01 | @ | Canucks5,Kraken4 (OT) | RECAP | |||||||||||
2025-03-04 | @ | Wild2,Kraken1 | RECAP | |||||||||||
2025-03-06 | @ | Kraken3,Predators2 | RECAP | |||||||||||
2025-03-08 | @ | Kraken2,Flyers6 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | Kraken5,Capitals6 | RECAP | |||||||||||
2025-03-12 | @ | Canadiens4,Kraken5 (OT) | RECAP | |||||||||||
2025-03-14 | @ | Hockey Club4,Kraken3 | RECAP | |||||||||||
2025-03-16 | @ | Jets2,Kraken3 | RECAP | |||||||||||
2025-03-18 | @ | |||||||||||||
2025-03-19 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-27 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-03-31 | @ | |||||||||||||
2025-04-02 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-07 | @ | |||||||||||||
2025-04-08 | @ | |||||||||||||
2025-04-10 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-15 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,013,008$ | 269,132$ | 67,342,438$ | 20,657,562$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Key Arena | |
City | Seattle | ||
Capacity | 12005 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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![]() |
Arena Capacity | 5 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 164972 | 171312 | 72000 | 132631 | 35978 |
Attendance PCT | 91,651.11% | 95.17% | 100.00% | 92.10% | 99.94% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
5 | 16025 - 133.48% | 1,978,467$ | 71,224,811$ | 12005 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,013,008$ | 72,063,009$ | 0$ | 269,132$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
57,877,893$ | 367,668$ | 55,675,598$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
9,892,335$ | 31 | 388,587$ | 12,046,197$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
12,463,107$ | 67,342,438$ | 162,868,413$ | 161,296,598$ |
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 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aidan Hreschuk | 2021 | 97 | |||
Alex Pharand | 2023 | 104 | |||
Alexander Gordin | 2020 | 151 | |||
Arseni Koromyslov | 2022 | 87 | |||
Calle Odelius | 2022 | 34 | ELC 2022-23 (slide) | Link | |
Charlie Leddy | 2022 | 175 | |||
Colby Ambrosio | 2020 | 89 | |||
Daniil O.Ivanov | 2022 | 94 | |||
Dmitri Kostenko | 2021 | 76 | |||
Eamon Powell | 2020 | 62 | |||
Hugo Gabrielson | 2021 | 131 | |||
Jackson Kunz | 2021 | 163 | |||
Jacob Battaglia | 2024 | 73 | |||
Jayden Perron | 2023 | 59 | |||
Marek Vanacker | 2024 | 48 | ELC 2024-25 | Link | |
Martin Kaut | |||||
Oliver Moore | 2023 | 15 | |||
Prokhor Poltapov | 2021 | 28 | |||
Quinn Finley | 2022 | 135 | |||
Redmond Savage | 2021 | 98 | |||
Roman Kantserov | 2023 | 81 | |||
Topias Leinonen | 2022 | 88 | |||
Trevor Connelly | 2024 | 16 | |||
Vitali Kravstov | |||||
Will Skahan | 2024 | 72 | |||
Zeev Buium | 2024 | 4 |
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