Kraken | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Marc | Morale : 99 | Team Overall : N/A |
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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 | C | L | R | D | CON | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Anze Kopitar (C) | X | 100.00 | 64 | 50 | 93 | 89 | 85 | 86 | 94 | 82 | 92 | 81 | 76 | 80 | 68 | 77 | 79 | 0 | 99 | 0 | 0 | 37 | 1 | 7,000,000$ | |||||
2 | Tyler Motte | X | 100.00 | 72 | 50 | 91 | 66 | 73 | 79 | 91 | 69 | 68 | 65 | 67 | 82 | 65 | 58 | 61 | 0 | 99 | 0 | 0 | 29 | 2 | 650,000$ | |||||
3 | Tyler Bertuzzi | X | X | 100.00 | 71 | 52 | 89 | 86 | 76 | 83 | 94 | 76 | 61 | 71 | 74 | 69 | 65 | 60 | 61 | 0 | 99 | 0 | 0 | 29 | 2 | 5,650,000$ | ||||
4 | Jared McCann | X | X | 100.00 | 65 | 52 | 92 | 89 | 73 | 83 | 94 | 80 | 65 | 76 | 78 | 76 | 68 | 58 | 61 | 0 | 99 | 0 | 0 | 28 | 5 | 4,462,500$ | ||||
5 | Matty Beniers | X | 100.00 | 66 | 50 | 93 | 86 | 69 | 84 | 93 | 75 | 79 | 71 | 71 | 69 | 73 | 40 | 55 | 0 | 99 | 0 | 0 | 22 | 1 | 1,500,000$ | |||||
6 | Ryan Nugent-Hopkins | X | 100.00 | 67 | 50 | 91 | 89 | 73 | 86 | 94 | 81 | 72 | 84 | 73 | 80 | 72 | 64 | 65 | 0 | 99 | 0 | 0 | 31 | 2 | 6,000,000$ | |||||
7 | Lawson Crouse | X | X | 100.00 | 76 | 54 | 91 | 85 | 82 | 83 | 94 | 76 | 64 | 70 | 75 | 84 | 65 | 58 | 64 | 0 | 99 | 0 | 0 | 27 | 3 | 4,050,000$ | ||||
8 | Connor Brown | X | X | 100.00 | 64 | 50 | 94 | 71 | 70 | 79 | 91 | 70 | 61 | 66 | 66 | 78 | 65 | 61 | 63 | 0 | 99 | 0 | 0 | 30 | 1 | 5,220,000$ | ||||
9 | Marcus Johansson | X | X | 100.00 | 65 | 50 | 93 | 81 | 77 | 82 | 93 | 74 | 61 | 70 | 69 | 68 | 66 | 72 | 67 | 0 | 99 | 0 | 0 | 34 | 2 | 650,000$ | ||||
10 | Colton Parayko | X | 100.00 | 72 | 52 | 93 | 83 | 87 | 90 | 95 | 77 | 25 | 69 | 74 | 87 | 65 | 58 | 61 | 0 | 99 | 0 | 0 | 31 | 1 | 5,750,000$ | |||||
11 | Adam Larsson | X | 100.00 | 75 | 52 | 89 | 79 | 79 | 89 | 94 | 73 | 25 | 68 | 67 | 85 | 65 | 59 | 67 | 0 | 99 | 0 | 0 | 32 | 1 | 3,990,000$ | |||||
12 | Gustav Forsling | X | 100.00 | 72 | 52 | 90 | 88 | 74 | 89 | 94 | 81 | 25 | 76 | 74 | 86 | 65 | 56 | 61 | 0 | 99 | 0 | 0 | 28 | 3 | 4,250,000$ | |||||
Scratches | ||||||||||||||||||||||||||||||
1 | Patrick Kane | X | X | 100.00 | 62 | 50 | 92 | 92 | 67 | 85 | 85 | 83 | 61 | 81 | 80 | 66 | 75 | 78 | 75 | 0 | 99 | 0 | 0 | 36 | 2 | 1,800,000$ | ||||
2 | Noah Hanifin | X | 100.00 | 67 | 50 | 92 | 89 | 79 | 90 | 94 | 82 | 25 | 79 | 76 | 81 | 65 | 53 | 61 | 0 | 99 | 0 | 0 | 27 | 3 | 4,750,000$ | |||||
3 | Arber Xhekaj | X | 100.00 | 83 | 62 | 77 | 77 | 90 | 82 | 88 | 74 | 25 | 68 | 69 | 75 | 65 | 44 | 58 | 0 | 99 | 0 | 0 | 23 | 4 | 1,200,000$ | |||||
Farm Team | ||||||||||||||||||||||||||||||
1 | Colton Dach | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 42 | 57 | 0 | 86 | 0 | 0 | 21 | 1 | 975,000$ | |||
2 | Xavier Bourgault | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 42 | 57 | 0 | 85 | 0 | 0 | 22 | 1 | 1,250,000$ | |||||
3 | James Hamblin | X | X | 100.00 | 64 | 50 | 95 | 65 | 70 | 75 | 83 | 68 | 75 | 65 | 66 | 68 | 65 | 1 | 1 | 0 | 99 | 0 | 0 | 25 | 1 | 650,000$ | ||||
4 | Conner Roulette | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 88 | 0 | 0 | 21 | 2 | 825,000$ | |||
5 | Josh Filmon | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 87 | 0 | 0 | 20 | 2 | 825,000$ | ||||
6 | Braeden Kressler | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 57 | 0 | 0 | 21 | 2 | 880,000$ | |||||
7 | Logan Stanley | X | 100.00 | 74 | 68 | 81 | 66 | 88 | 80 | 77 | 68 | 25 | 65 | 67 | 77 | 65 | 55 | 60 | 0 | 99 | 0 | 0 | 26 | 1 | 1,000,000$ | |||||
8 | Kevin Korchinski | X | 100.00 | 63 | 50 | 93 | 79 | 71 | 86 | 93 | 72 | 25 | 67 | 69 | 70 | 65 | 40 | 55 | 0 | 99 | 0 | 0 | 20 | 2 | 1,500,000$ | |||||
9 | Matt Brown | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 51 | 65 | 0 | 77 | 0 | 0 | 25 | 0 | 0$ | ||||
10 | Chase Bradley | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 42 | 57 | 0 | 56 | 0 | 0 | 22 | 1 | 690,000$ | |||
11 | Jere Innala | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 56 | 60 | 0 | 81 | 0 | 0 | 26 | 0 | 0$ | ||||
12 | Bobby Trivigno | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 52 | 60 | 0 | 71 | 0 | 0 | 25 | 0 | 0$ | |||
13 | Jansen Harkins | X | 100.00 | 73 | 54 | 91 | 65 | 75 | 75 | 87 | 68 | 61 | 65 | 65 | 69 | 68 | 62 | 65 | 0 | 99 | 0 | 0 | 27 | 0 | 0$ | |||||
14 | Riese Gaber | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 45 | 59 | 0 | 88 | 0 | 0 | 25 | 1 | 682,500$ | ||||
15 | Zach Solow | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 45 | 59 | 0 | 80 | 0 | 0 | 26 | 0 | 0$ | |||
16 | Marc McLaughlin | X | 100.00 | 73 | 50 | 92 | 60 | 75 | 79 | 92 | 61 | 64 | 61 | 61 | 73 | 65 | 4 | 3 | 0 | 99 | 0 | 0 | 25 | 1 | 682,500$ | |||||
17 | Fabian Wagner | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 20 | 0 | 0 | 20 | 2 | 750,000$ | |||
18 | Maros Jedlicka | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 41 | 0 | 0 | 22 | 1 | 650,000$ | ||||
19 | Koehn Ziemmer (R) | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 20 | 3 | 1,250,000$ | ||||
20 | Colby Barlow (R) | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 19 | 3 | 1,500,000$ | ||||
21 | Nick Lardis (R) | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 19 | 3 | 1,250,000$ | ||||
22 | Victor Mete | X | 100.00 | 60 | 50 | 92 | 66 | 70 | 77 | 89 | 62 | 25 | 63 | 60 | 68 | 65 | 53 | 60 | 0 | 99 | 0 | 0 | 26 | 0 | 0$ | |||||
23 | Stanislav Demin | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 49 | 58 | 0 | 20 | 0 | 0 | 24 | 1 | 650,000$ | |||||
24 | Nate Clurman | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 54 | 60 | 0 | 20 | 0 | 0 | 26 | 0 | 0$ | |||||
25 | Christian Krygier | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 52 | 60 | 0 | 80 | 0 | 0 | 24 | 0 | 0$ | |||||
26 | Cole Krygier | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 52 | 60 | 0 | 87 | 0 | 0 | 24 | 0 | 0$ | |||||
27 | Uvis Balinskis | X | 100.00 | 71 | 50 | 92 | 71 | 74 | 81 | 89 | 69 | 25 | 65 | 66 | 72 | 65 | 40 | 55 | 0 | 99 | 0 | 0 | 28 | 2 | 700,000$ | |||||
28 | Djibril Toure | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 43 | 0 | 0 | 21 | 2 | 880,000$ | |||||
29 | Seamus Casey (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 20 | 3 | 1,250,000$ | |||||
30 | Saige Weinstein (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 19 | 3 | 700,000$ | |||||
31 | Luca Cagnoni (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 20 | 3 | 975,000$ | |||||
TEAM AVERAGE | 100.00 | 34 | 25 | 44 | 38 | 37 | 40 | 44 | 36 | 25 | 34 | 34 | 37 | 32 | 43 | 50 | 0 | 73 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | CON | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
1 | Jacob Markstrom | 100.00 | 75 | 86 | 84 | 85 | 74 | 77 | 81 | 77 | 83 | 78 | 75 | 71 | 70 | 0 | 99 | 0 | 0 | 34 | 2 | 750,000$ | ||
2 | Stuart Skinner | 100.00 | 79 | 89 | 88 | 92 | 69 | 78 | 80 | 77 | 83 | 81 | 86 | 60 | 64 | 0 | 99 | 0 | 0 | 26 | 1 | 3,700,000$ | ||
Farm Team | ||||||||||||||||||||||||
1 | Alex Stalock | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 86 | 75 | 0 | 84 | 0 | 0 | 37 | 1 | 880,000$ | ||
2 | Magnus Hellberg | 100.00 | 70 | 71 | 72 | 89 | 67 | 64 | 70 | 67 | 74 | 66 | 72 | 62 | 55 | 0 | 99 | 0 | 0 | 33 | 1 | 650,000$ | ||
3 | Jet Greaves | 100.00 | 61 | 74 | 68 | 75 | 82 | 69 | 75 | 72 | 78 | 59 | 69 | 55 | 60 | 0 | 99 | 0 | 0 | 23 | 4 | 1,000,000$ | ||
4 | Kaidan Mbereko | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 67 | 0 | 0 | 21 | 2 | 650,000$ | ||
5 | Ryan Bischel | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 59 | 0 | 0 | 25 | 2 | 650,000$ | ||
TEAM AVERAGE | 100.00 | 41 | 46 | 45 | 49 | 42 | 42 | 44 | 42 | 46 | 41 | 44 | 59 | 62 | 0 | 87 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Patrick Roy | 86 | 84 | 80 | 92 | 67 | 70 | 1 | CAN | 59 | 3 | 1,000,000$ |
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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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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 |
# | 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 |
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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 | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Larsson | Kraken | D | 32 | 1992-11-12 | SWE | No | 209 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,990,000$ | 3,990,000$ | 4,750,000$ | 4,750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Anze Kopitar | Kraken | C | 37 | 1987-08-24 | SVN | No | 225 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Arber Xhekaj | Kraken | D | 23 | 2001-01-30 | CAN | No | 240 Lbs | 6 ft4 | No | No | N/A | No | No | 4 | 2024-08-31 | False | False | Pro & Farm | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | No | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Colton Parayko | Kraken | D | 31 | 1993-05-12 | CAN | No | 228 Lbs | 6 ft6 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Connor Brown | Kraken | LW/RW | 30 | 1994-01-14 | CAN | No | 184 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 5,220,000$ | 5,220,000$ | 4,350,000$ | 4,350,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Gustav Forsling | Kraken | D | 28 | 1996-06-12 | SWE | No | 195 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | No | 4,250,000$ | 4,250,000$ | - | - | - | - | - | - | - | 4,250,000$ | 4,250,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Jacob Markstrom | Kraken | G | 34 | 1990-01-31 | SWE | No | 207 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jared McCann | Kraken | LW/RW | 28 | 1996-05-31 | CAN | No | 191 Lbs | 6 ft1 | No | No | N/A | No | No | 5 | False | False | Pro & Farm | 4,462,500$ | 4,462,500$ | 3,750,000$ | 3,750,000$ | No | 3,675,000$ | 3,150,000$ | 3,150,000$ | 2,362,500$ | - | - | - | - | - | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |||
Lawson Crouse | Kraken | LW/RW | 27 | 1997-06-23 | CAN | No | 215 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,050,000$ | 4,050,000$ | 4,050,000$ | 4,050,000$ | No | 4,050,000$ | 4,050,000$ | - | - | - | - | - | - | - | 4,050,000$ | 4,050,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Marcus Johansson | Kraken | LW/RW | 34 | 1990-10-06 | SWE | No | 203 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 650,000$ | 650,000$ | 650,000$ | 650,000$ | No | 650,000$ | - | - | - | - | - | - | - | - | 650,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Matty Beniers | Kraken | C | 22 | 2002-11-05 | USA | No | 178 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Noah Hanifin | Kraken | D | 27 | 1997-01-25 | USA | No | 207 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | No | 4,750,000$ | 4,750,000$ | - | - | - | - | - | - | - | 4,750,000$ | 4,750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Patrick Kane | Kraken | LW/RW | 36 | 1988-11-19 | USA | No | 177 Lbs | 5 ft10 | No | No | Free Agent | No | No | 2 | 2024-12-27 | False | False | Pro & Farm | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | No | 1,800,000$ | - | - | - | - | - | - | - | - | 1,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Ryan Nugent-Hopkins | Kraken | C | 31 | 1993-04-12 | CAN | No | 192 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | No | 6,000,000$ | - | - | - | - | - | - | - | - | 6,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Stuart Skinner | Kraken | G | 26 | 1998-11-01 | CAN | No | 230 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | 2024-08-31 | False | False | Pro & Farm | 3,700,000$ | 3,700,000$ | 3,700,000$ | 3,700,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Tyler Bertuzzi | Kraken | LW/RW | 29 | 1995-02-24 | CAN | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,650,000$ | 5,650,000$ | 5,650,000$ | 5,650,000$ | No | 5,650,000$ | - | - | - | - | - | - | - | - | 5,650,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Tyler Motte | Kraken | C | 29 | 1995-03-10 | USA | No | 194 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 650,000$ | 650,000$ | 650,000$ | 650,000$ | No | 650,000$ | - | - | - | - | - | - | - | - | 650,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
17 | 29.65 | 204 Lbs | 6 ft2 | 2.12 | 3,610,147$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
61,372,500$ | 33,425,000$ | 17,400,000$ | 4,350,000$ | 2,362,500$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Ryan Nugent-Hopkins | Anze Kopitar | Jared McCann | 37 | 0 | 0 | 5 |
2 | Matty Beniers | Connor Brown | 37 | 0 | 1 | 4 | |
3 | Lawson Crouse | Tyler Bertuzzi | 17 | 1 | 2 | 2 | |
4 | Tyler Motte | Marcus Johansson | 9 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Adam Larsson | Gustav Forsling | 33 | 1 | 2 | 2 | |
2 | Colton Parayko | 33 | 1 | 2 | 2 | ||
3 | 33 | 1 | 2 | 2 | |||
4 | Colton Parayko | 1 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Ryan Nugent-Hopkins | Anze Kopitar | Jared McCann | 50 | 0 | 0 | 5 |
2 | Matty Beniers | 50 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Gustav Forsling | 50 | 0 | 1 | 4 | ||
2 | Adam Larsson | 50 | 0 | 1 | 4 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Lawson Crouse | 50 | 1 | 4 | 0 | |
2 | Anze Kopitar | Connor Brown | 50 | 1 | 4 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Adam Larsson | Gustav Forsling | 50 | 1 | 4 | 0 |
2 | Colton Parayko | 50 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 50 | 0 | 5 | 0 | Colton Parayko | 50 | 0 | 5 | 0 | ||
2 | Anze Kopitar | 50 | 0 | 5 | 0 | Adam Larsson | Gustav Forsling | 50 | 0 | 5 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Tyler Bertuzzi | 50 | 1 | 2 | 2 | |
2 | Matty Beniers | Ryan Nugent-Hopkins | 50 | 1 | 1 | 3 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 50 | 1 | 2 | 2 | ||
2 | Adam Larsson | Colton Parayko | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Ryan Nugent-Hopkins | Jared McCann | Gustav Forsling |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Connor Brown | Anze Kopitar | Lawson Crouse | Adam Larsson | Gustav Forsling |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Matty Beniers, Jared McCann, Marcus Johansson | Lawson Crouse, Connor Brown | Tyler Motte |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , Colton Parayko | , |
Penalty Shots |
---|
Ryan Nugent-Hopkins, Anze Kopitar, , Jared McCann, Lawson Crouse |
Goalie |
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#1 : , #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 ) |
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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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6250 | 5250 | 2600 | 4200 | 1200 |
Ticket Price | 87 | 49 | 26 | 14 | 193 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 19500 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 62,252,500$ | 61,430,000$ | 1,000,000$0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 18 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 43,973,242$ | 43,973,242$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 82,000,000$ | 82,000,000$ | -52,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 | Last Trade Date | Link |
---|---|---|---|---|---|---|
Adam Ingram | Kraken | 0 | 0 | |||
Aiden Fink | Kraken | 0 | 0 | |||
Cruz Lucius | Kraken | 0 | 0 | |||
David Gucciardi | Kraken | 0 | 0 | |||
Dylan Silverstein | Kraken | 0 | 0 | |||
Emil Hemming | Kraken | 0 | 0 | |||
Hugo Havelid | Kraken | 0 | 0 | |||
Hunter Strand | Kraken | 0 | 0 | |||
Jack Devine | Kraken | 0 | 0 | |||
Jack Hughes. | Kraken | 0 | 0 | |||
Jake Livanavage | Kraken | 0 | 0 | |||
Liam Dower Nilsson | Kraken | 0 | 0 | |||
Linus Eriksson | Kraken | 0 | 0 | |||
Lukas Matecha | Kraken | 0 | 0 | |||
Miguel Marques | Kraken | 0 | 0 | |||
Nicholas Kempf | Kraken | 0 | 0 | |||
Nicholas Moldenhauer | Kraken | 0 | 0 | |||
Petr Sikora | Kraken | 0 | 0 | |||
Rieger Lorenz | Kraken | 0 | 0 | |||
Sebastian Soini | Kraken | 0 | 0 | |||
Tarin Smith | Kraken | 0 | 0 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2024 | SEA | SEA ANA | SEA | SEA | SEA | SEA | SEA |
2025 | SEA | SEA | SEA | SEA | SEA | SEA | SEA |
2026 | SEA | SEA | SEA | SEA | SEA | SEA | SEA |
2027 | SEA | SEA | SEA | SEA | SEA | SEA | SEA |
2028 | SEA | SEA | SEA | SEA | SEA | SEA | SEA |
Conditional Draft Picks |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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