Kings | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Frederic Lalancette | Morale : 40 | Team Overall : 77 |
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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 | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Chris Kreider | X | 100.00 | 86 | 44 | 81 | 85 | 87 | 81 | 85 | 87 | 65 | 84 | 86 | 81 | 78 | 81 | 78 | 33 | 37 | 82 | 1 | 27 | 3 | 6,500,000$ | ||||
2 | Anze Kopitar | X | 100.00 | 75 | 53 | 74 | 76 | 82 | 83 | 78 | 85 | 76 | 80 | 78 | 78 | 78 | 89 | 88 | 23 | 40 | 79 | 1 | 31 | 2 | 5,250,000$ | ||||
3 | Aleksander Barkov | X | 100.00 | 80 | 50 | 81 | 81 | 80 | 80 | 80 | 82 | 79 | 85 | 80 | 71 | 78 | 62 | 54 | 48 | 37 | 78 | 0 | 23 | 1 | 4,250,000$ | ||||
4 | Sean Bergenheim | X | 100.00 | 80 | 31 | 80 | 77 | 88 | 71 | 85 | 79 | 69 | 78 | 82 | 76 | 67 | 89 | 88 | 13 | 37 | 77 | 1 | 34 | 1 | 2,000,000$ | ||||
5 | Mitch Marner (R) | X | 100.00 | 72 | 36 | 86 | 75 | 73 | 84 | 81 | 78 | 91 | 93 | 77 | 58 | 71 | 56 | 50 | 68 | 40 | 75 | 0 | 21 | 3 | 3,000,000$ | ||||
6 | Hampus Lindholm | X | 100.00 | 83 | 34 | 88 | 89 | 82 | 80 | 89 | 89 | 56 | 93 | 81 | 83 | 70 | 78 | 48 | 49 | 39 | 83 | 1 | 24 | 1 | 6,250,000$ | ||||
7 | Jared Cowen | X | 100.00 | 84 | 36 | 89 | 85 | 81 | 81 | 85 | 76 | 63 | 90 | 73 | 91 | 73 | 86 | 52 | 35 | 31 | 82 | 2 | 27 | 2 | 5,000,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Jordan Eberle | X | 100.00 | 82 | 49 | 84 | 81 | 81 | 81 | 89 | 82 | 83 | 82 | 85 | 80 | 78 | 87 | 69 | 34 | 36 | 81 | 1 | 28 | 2 | 6,500,000$ | ||||
2 | Joe Pavelski | X | 100.00 | 73 | 47 | 75 | 77 | 79 | 81 | 79 | 82 | 79 | 75 | 76 | 75 | 72 | 91 | 98 | 16 | 40 | 77 | 1 | 34 | 1 | 1,650,000$ | ||||
3 | Auston Matthews | X | 100.00 | 79 | 35 | 93 | 72 | 95 | 83 | 77 | 76 | 79 | 81 | 94 | 56 | 80 | 53 | 48 | 72 | 40 | 77 | 0 | 21 | 4 | 4,500,000$ | ||||
4 | Ryan Getzlaf | X | 100.00 | 73 | 46 | 79 | 81 | 78 | 66 | 77 | 75 | 76 | 84 | 77 | 76 | 69 | 84 | 74 | 17 | 40 | 76 | 0 | 33 | 1 | 1,000,000$ | ||||
5 | Alex DeBrincat (R) | X | 100.00 | 79 | 55 | 87 | 80 | 79 | 73 | 79 | 73 | 76 | 77 | 79 | 64 | 81 | 61 | 48 | 65 | 37 | 74 | 0 | 21 | 4 | 1,500,000$ | ||||
6 | Matthew Tkachuk (R) | X | 100.00 | 90 | 50 | 77 | 78 | 91 | 57 | 86 | 79 | 60 | 76 | 77 | 71 | 67 | 55 | 52 | 61 | 34 | 74 | 0 | 21 | 4 | 1,500,000$ | ||||
7 | Luke Adam | X | 100.00 | 70 | 26 | 72 | 78 | 75 | 81 | 79 | 78 | 71 | 70 | 82 | 66 | 79 | 60 | 56 | 27 | 40 | 73 | 0 | 28 | 0 | 0$ | ||||
8 | Zac Rinaldo | X | 100.00 | 83 | 74 | 76 | 76 | 76 | 67 | 88 | 72 | 73 | 82 | 66 | 74 | 74 | 57 | 57 | 31 | 40 | 73 | 0 | 28 | 2 | 750,000$ | ||||
9 | Tanner Richard (R) | X | 100.00 | 79 | 44 | 71 | 77 | 79 | 62 | 75 | 73 | 72 | 78 | 74 | 68 | 65 | 62 | 54 | 35 | 40 | 72 | 0 | 25 | 1 | 995,000$ | ||||
10 | Darroll Powe | X | 100.00 | 60 | 32 | 78 | 72 | 72 | 71 | 72 | 70 | 75 | 75 | 70 | 73 | 65 | 84 | 77 | 16 | 43 | 71 | 0 | 33 | 1 | 750,000$ | ||||
11 | Cam Fowler | X | 100.00 | 80 | 34 | 81 | 82 | 87 | 82 | 84 | 83 | 67 | 81 | 76 | 84 | 72 | 85 | 62 | 35 | 34 | 80 | 1 | 27 | 3 | 4,200,000$ | ||||
12 | Marc Staal | X | 100.00 | 79 | 37 | 87 | 77 | 82 | 78 | 80 | 75 | 63 | 80 | 76 | 86 | 74 | 93 | 59 | 22 | 40 | 79 | 1 | 31 | 1 | 1,500,000$ | ||||
13 | Michael Matheson (R) | X | 100.00 | 78 | 35 | 81 | 81 | 76 | 75 | 80 | 75 | 59 | 77 | 71 | 83 | 67 | 61 | 51 | 39 | 40 | 76 | 0 | 24 | 2 | 1,250,000$ | ||||
14 | Adam Fox (R) | X | 100.00 | 70 | 36 | 80 | 85 | 67 | 75 | 86 | 89 | 42 | 86 | 67 | 80 | 58 | 60 | 44 | 65 | 36 | 75 | 0 | 20 | 3 | 2,000,000$ | ||||
15 | Philip Larsen | X | 100.00 | 77 | 34 | 75 | 78 | 73 | 80 | 74 | 70 | 60 | 75 | 71 | 76 | 65 | 71 | 65 | 25 | 33 | 74 | 0 | 29 | 0 | 0$ | ||||
16 | Roman Josi | X | 100.00 | 72 | 30 | 86 | 68 | 75 | 76 | 76 | 73 | 53 | 71 | 76 | 70 | 62 | 69 | 55 | 30 | 43 | 71 | 0 | 28 | 1 | 750,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Nick Suzuki (R) | X | 100.00 | 64 | 27 | 75 | 84 | 64 | 73 | 66 | 79 | 75 | 68 | 75 | 61 | 79 | 47 | 45 | 75 | 40 | 70 | 0 | 19 | 1 | 500,000$ | ||||
2 | Mason Appleton (R) | X | 100.00 | 54 | 36 | 81 | 72 | 67 | 66 | 71 | 70 | 79 | 78 | 72 | 55 | 57 | 46 | 46 | 51 | 40 | 67 | 0 | 22 | 1 | 650,000$ | ||||
3 | Nicolas Hague (R) | X | 100.00 | 72 | 36 | 93 | 71 | 68 | 75 | 67 | 65 | 40 | 75 | 43 | 82 | 49 | 50 | 45 | 65 | 40 | 71 | 0 | 20 | 1 | 500,000$ | ||||
4 | Miro Heiskanen (R) | X | 100.00 | 75 | 42 | 82 | 70 | 71 | 76 | 69 | 73 | 60 | 71 | 67 | 71 | 59 | 48 | 42 | 80 | 38 | 70 | 0 | 19 | 1 | 500,000$ | ||||
5 | Timothy Liljegren (R) | X | 100.00 | 54 | 26 | 83 | 78 | 60 | 62 | 72 | 76 | 41 | 83 | 66 | 70 | 52 | 49 | 41 | 72 | 32 | 67 | 0 | 19 | 1 | 500,000$ | ||||
6 | Michael Anderson (R) | X | 100.00 | 53 | 23 | 70 | 77 | 55 | 56 | 68 | 77 | 37 | 70 | 57 | 65 | 48 | 42 | 42 | 71 | 40 | 62 | 0 | 19 | 1 | 500,000$ | ||||
7 | Jesse Puljujarvi (R) | X | 100.00 | 72 | 33 | 78 | 68 | 89 | 79 | 69 | 71 | 72 | 74 | 81 | 59 | 73 | 48 | 44 | 70 | 33 | 71 | 0 | 20 | 4 | 950,000$ | ||||
8 | Josh Anderson (R) | X | 100.00 | 79 | 45 | 79 | 73 | 73 | 64 | 71 | 70 | 63 | 70 | 71 | 72 | 62 | 53 | 50 | 42 | 40 | 70 | 0 | 24 | 2 | 850,000$ | ||||
9 | Kevin Fiala (R) | X | 100.00 | 68 | 35 | 75 | 78 | 67 | 70 | 72 | 78 | 73 | 70 | 75 | 67 | 82 | 49 | 47 | 50 | 40 | 70 | 0 | 22 | 2 | 925,000$ | ||||
10 | Brady Tkachuk (R) | X | 100.00 | 86 | 50 | 69 | 72 | 87 | 57 | 90 | 70 | 60 | 78 | 71 | 61 | 55 | 43 | 43 | 83 | 40 | 69 | 0 | 19 | 2 | 500,000$ | ||||
11 | Tom Kuhnhackl | X | 100.00 | 66 | 31 | 74 | 77 | 70 | 73 | 75 | 70 | 66 | 67 | 66 | 70 | 71 | 59 | 53 | 30 | 40 | 68 | 0 | 26 | 0 | 0$ | ||||
12 | Chandler Stephenson (R) | X | 100.00 | 70 | 38 | 81 | 75 | 68 | 71 | 72 | 70 | 69 | 72 | 66 | 57 | 75 | 49 | 52 | 39 | 40 | 67 | 0 | 24 | 2 | 750,000$ | ||||
13 | Pierre-Luc Dubois (R) | X | 100.00 | 75 | 36 | 76 | 70 | 85 | 60 | 77 | 68 | 59 | 76 | 67 | 70 | 54 | 43 | 44 | 68 | 32 | 67 | 0 | 20 | 4 | 800,000$ | ||||
14 | Carl Grundstrom (R) | X | 100.00 | 70 | 52 | 86 | 67 | 68 | 73 | 67 | 67 | 68 | 66 | 68 | 63 | 70 | 45 | 47 | 65 | 37 | 67 | 0 | 21 | 2 | 900,000$ | ||||
15 | Yegor Sharangovich (R) | X | 100.00 | 71 | 45 | 78 | 65 | 67 | 63 | 62 | 65 | 67 | 71 | 69 | 64 | 74 | 44 | 43 | 77 | 36 | 66 | 0 | 20 | 2 | 500,000$ | ||||
16 | Clayton Keller (R) | X | 100.00 | 58 | 26 | 75 | 72 | 65 | 65 | 69 | 70 | 76 | 78 | 72 | 44 | 54 | 44 | 43 | 61 | 33 | 65 | 0 | 20 | 3 | 900,000$ | ||||
17 | Tomas Hyka (R) | X | 100.00 | 60 | 34 | 75 | 67 | 61 | 62 | 61 | 64 | 79 | 82 | 64 | 55 | 58 | 47 | 48 | 26 | 31 | 64 | 0 | 25 | 1 | 500,000$ | ||||
18 | Jesperi Kotkaniemi (R) | X | 100.00 | 70 | 35 | 73 | 60 | 64 | 70 | 60 | 69 | 67 | 57 | 55 | 57 | 64 | 40 | 40 | 77 | 40 | 61 | 0 | 18 | 2 | 500,000$ | ||||
19 | Michael Pezzetta (R) | X | 100.00 | 70 | 50 | 63 | 53 | 67 | 47 | 68 | 49 | 58 | 50 | 51 | 37 | 52 | 42 | 42 | 49 | 36 | 52 | 0 | 20 | 1 | 500,000$ | ||||
20 | Quinn Hughes (R) | X | 100.00 | 58 | 38 | 85 | 94 | 61 | 59 | 70 | 89 | 40 | 90 | 69 | 72 | 52 | 42 | 41 | 84 | 37 | 72 | 0 | 19 | 2 | 500,000$ | ||||
21 | Charlie McAvoy (R) | X | 100.00 | 79 | 51 | 84 | 78 | 71 | 69 | 69 | 70 | 60 | 74 | 61 | 72 | 65 | 53 | 46 | 67 | 40 | 72 | 0 | 21 | 4 | 975,000$ | ||||
22 | Devon Teows (R) | X | 100.00 | 75 | 47 | 74 | 72 | 69 | 65 | 65 | 73 | 55 | 68 | 58 | 75 | 56 | 55 | 52 | 42 | 30 | 69 | 0 | 24 | 2 | 800,000$ | ||||
23 | Alexander Romanov (R) | X | 100.00 | 79 | 51 | 57 | 63 | 75 | 79 | 47 | 47 | 26 | 69 | 52 | 59 | 44 | 40 | 40 | 78 | 40 | 63 | 0 | 18 | 2 | 500,000$ | ||||
24 | Hunter Drew (R) | X | 100.00 | 82 | 51 | 57 | 54 | 72 | 60 | 70 | 47 | 36 | 46 | 37 | 52 | 36 | 44 | 45 | 69 | 40 | 58 | 0 | 20 | 2 | 500,000$ | ||||
TEAM AVERAGE | 100.00 | 73 | 40 | 78 | 75 | 75 | 71 | 75 | 73 | 64 | 76 | 70 | 69 | 66 | 59 | 53 | 50 | 38 | 71 |
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 | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Alexandar Georgiev | 100.00 | 65 | 93 | 73 | 84 | 83 | 78 | 82 | 86 | 90 | 83 | 66 | 66 | 58 | 56 | 40 | 81 | 0 | 22 | 3 | 4,500,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Carter Hutton | 100.00 | 80 | 66 | 67 | 96 | 80 | 65 | 55 | 89 | 83 | 79 | 73 | 75 | 80 | 45 | 34 | 75 | 0 | 33 | 1 | 800,000$ | |
2 | Cayden Primeau | 100.00 | 70 | 71 | 71 | 70 | 66 | 70 | 73 | 62 | 63 | 64 | 62 | 42 | 42 | 72 | 31 | 66 | 0 | 19 | 1 | 500,000$ | |
3 | Eric Comrie | 100.00 | 74 | 84 | 76 | 76 | 75 | 77 | 74 | 77 | 81 | 78 | 64 | 60 | 54 | 46 | 39 | 75 | 0 | 23 | 3 | 950,000$ | |
4 | Justus Annunen (R) | 100.00 | 72 | 55 | 65 | 67 | 72 | 54 | 52 | 61 | 60 | 38 | 73 | 40 | 40 | 79 | 40 | 59 | 0 | 18 | 2 | 500,000$ | |
5 | Arvid Soderblom | 100.00 | 53 | 64 | 76 | 50 | 51 | 63 | 69 | 53 | 55 | 74 | 58 | 41 | 41 | 71 | 39 | 59 | 0 | 19 | 1 | 500,000$ | |
TEAM AVERAGE | 100.00 | 69 | 72 | 71 | 74 | 71 | 68 | 68 | 71 | 72 | 69 | 66 | 54 | 53 | 62 | 37 | 69 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ken Hitchcock | 64 | 78 | 74 | 87 | 99 | 73 | 45 | CAN | 63 | 4 | 1,500,000$ |
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 | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | 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 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | Kings | D | 20 | 1998-01-01 | Yes | 181 Lbs | 5 ft11 | No | No | No | 3 | Pro Only | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | 3,000,000$ | 4,000,000$ | ||||||||
Aleksander Barkov | Kings | C | 23 | 1995-01-01 | No | 185 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | No | ||||||||||
Alex DeBrincat | Kings | LW | 21 | 1997-01-01 | Yes | 165 Lbs | 5 ft7 | No | No | No | 4 | Pro Only | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 2,500,000$ | 3,750,000$ | 5,000,000$ | |||||||
Alexandar Georgiev | Kings | G | 22 | 1996-01-01 | No | 178 Lbs | 6 ft1 | No | No | No | 3 | Pro Only | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | No | 5,000,000$ | 5,500,000$ | ||||||||
Anze Kopitar | Kings | C | 31 | 1987-01-01 | No | 222 Lbs | 6 ft3 | No | No | No | 2 | Pro Only | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | No | 4,500,000$ | |||||||||
Auston Matthews | Kings | C | 21 | 1997-01-01 | No | 220 Lbs | 6 ft3 | No | No | No | 4 | Pro Only | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | No | 5,000,000$ | 6,000,000$ | 7,000,000$ | |||||||
Cam Fowler | Kings | D | 27 | 1991-01-01 | No | 211 Lbs | 6 ft1 | No | No | No | 3 | Pro Only | 4,200,000$ | 4,200,000$ | 4,200,000$ | 4,200,000$ | No | 4,200,000$ | 4,200,000$ | ||||||||
Chris Kreider | Kings | LW | 27 | 1991-01-01 | No | 226 Lbs | 6 ft3 | No | No | No | 3 | Pro Only | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | No | 6,500,000$ | 6,500,000$ | ||||||||
Darroll Powe | Kings | C | 33 | 1985-01-01 | No | 212 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | No | ||||||||||
Hampus Lindholm | Kings | D | 24 | 1994-01-01 | No | 195 Lbs | 6 ft3 | No | No | No | 1 | Pro Only | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | No | ||||||||||
Jared Cowen | Kings | D | 27 | 1991-01-01 | No | 228 Lbs | 6 ft5 | No | No | No | 2 | Pro Only | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | No | 5,000,000$ | |||||||||
Joe Pavelski | Kings | RW | 34 | 1984-01-01 | No | 190 Lbs | 5 ft11 | No | No | No | 1 | Pro Only | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | No | ||||||||||
Jordan Eberle | Kings | RW | 28 | 1990-01-01 | No | 184 Lbs | 5 ft11 | No | No | No | 2 | Pro Only | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | No | 6,500,000$ | |||||||||
Luke Adam | Kings | C | 28 | 1990-01-01 | No | 203 Lbs | 6 ft2 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | ||||||||||||
Marc Staal | Kings | D | 31 | 1987-01-01 | No | 209 Lbs | 6 ft4 | No | No | No | 1 | Pro Only | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | ||||||||||
Matthew Tkachuk | Kings | RW | 21 | 1997-01-01 | Yes | 203 Lbs | 6 ft2 | No | No | No | 4 | Pro Only | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 2,500,000$ | 3,750,000$ | 4,250,000$ | |||||||
Michael Matheson | Kings | D | 24 | 1994-01-01 | Yes | 178 Lbs | 6 ft1 | No | No | No | 2 | Pro Only | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | No | 1,250,000$ | |||||||||
Mitch Marner | Kings | RW | 21 | 1997-01-01 | Yes | 175 Lbs | 6 ft0 | No | No | No | 3 | Pro Only | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | 4,000,000$ | 5,000,000$ | ||||||||
Philip Larsen | Kings | D | 29 | 1989-01-01 | No | 190 Lbs | 6 ft0 | No | No | No | 0 | Pro Only | 0$ | 0$ | No | ||||||||||||
Roman Josi | Kings | D | 28 | 1990-01-01 | No | 198 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | No | ||||||||||
Ryan Getzlaf | Kings | C | 33 | 1985-01-01 | No | 220 Lbs | 6 ft4 | No | No | No | 1 | Pro Only | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | ||||||||||
Sean Bergenheim | Kings | LW | 34 | 1984-01-01 | No | 205 Lbs | 5 ft10 | No | No | No | 1 | Pro Only | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | ||||||||||
Tanner Richard | Kings | C | 25 | 1993-01-01 | Yes | 176 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 995,000$ | 995,000$ | 995,000$ | 995,000$ | No | ||||||||||
Zac Rinaldo | Kings | LW | 28 | 1990-01-01 | No | 169 Lbs | 5 ft11 | No | No | No | 2 | Pro Only | 750,000$ | 750,000$ | 750,000$ | 750,000$ | No | 750,000$ |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
24 | 26.67 | 197 Lbs | 6 ft1 | 1.92 | 2,733,125$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
65,595,000$ | 50,700,000$ | 38,700,000$ | 16,250,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 30 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | Mitch Marner | 30 | 1 | 2 | 2 | ||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 0 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 1 | 3 | |||
2 | Mitch Marner | 40 | 1 | 1 | 3 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 0 | 2 | 3 | |||
2 | 40 | 0 | 3 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
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Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
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Normal | PowerPlay | Penalty Kill |
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Penalty Shots |
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Goalie |
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#1 : Alexandar Georgiev, #2 : |
Custom OT Lines Forwards |
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, , , , , , , , , , |
Custom OT Lines Defensemen |
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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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
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 |
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Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100 | 60 | 35 | 25 | 200 |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
40 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 65,595,000$ | 49,945,000$ | 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$ | 22 | 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$ | 10,341,772$ | 10,341,772$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 76,341,772$ | 76,341,772$ | -35,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Year | R1 | R2 | R3 | R4 | R5 |
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3 | |||||
4 | |||||
5 | |||||
6 | |||||
7 |
# | 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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