Day : 22 |
VEG - 2 |
NSH - 4 |
DET - 1 |
VAN - 5 |
HAM - 6 |
WBS - 5 |
CTW - 3 |
PAR - 8 |
Day : 23 |
(6-3-0) - W2 |
(6-4-0) - OTL1 |
(7-4-0) - W1 |
(5-3-0) - L1 |
(5-3-0) - OTL1 |
(5-3-0) - W1 |
GP: 7 | W: 3 | L: 4 GF: 16 | GA: 21 | PP%: 10.00% | PK%: 86.67% GM : Steeve Garneau |
|
|
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 Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Christian Dvorak | X | X | 100.00 | 81 | 33 | 92 | 81 | 84 | 82 | 81 | 88 | 77 | 79 | 79 | 73 | 74 | 81 | 79 | 7 | 50 | 0 | 0 | 27 | 3 | 4,250,000$ | |||
2 | Patrick Kane | X | X | 100.00 | 60 | 25 | 99 | 87 | 69 | 82 | 82 | 88 | 73 | 76 | 76 | 65 | 94 | 99 | 99 | 1 | 50 | 0 | 0 | 35 | 1 | 1,750,000$ | |||
3 | Andreas Johnsson | X | X | 100.00 | 76 | 33 | 93 | 90 | 72 | 85 | 84 | 85 | 60 | 78 | 77 | 67 | 78 | 88 | 85 | 1 | 50 | 0 | 0 | 29 | 1 | 2,200,000$ | |||
4 | Michael McCarron | X | X | 100.00 | 97 | 47 | 79 | 76 | 92 | 82 | 79 | 78 | 75 | 74 | 75 | 75 | 72 | 80 | 80 | 6 | 50 | 0 | 0 | 28 | 4 | 2,860,000$ | |||
5 | Sam Gagner | X | X | X | 100.00 | 62 | 25 | 97 | 87 | 72 | 81 | 81 | 87 | 80 | 78 | 76 | 67 | 89 | 99 | 99 | 1 | 50 | 0 | 0 | 34 | 2 | 6,500,000$ | ||
6 | Joachim Blichfeld (R) | X | X | 100.00 | 85 | 40 | 82 | 80 | 82 | 87 | 85 | 81 | 68 | 76 | 74 | 69 | 76 | 74 | 72 | 6 | 50 | 0 | 0 | 25 | 1 | 1,550,000$ | |||
7 | Elias Lindholm (A) | X | X | 100.00 | 81 | 30 | 87 | 88 | 83 | 89 | 89 | 89 | 77 | 81 | 81 | 70 | 81 | 91 | 90 | 1 | 50 | 0 | 0 | 29 | 4 | 6,500,000$ | |||
8 | Pavel Buchnevich | X | X | 100.00 | 71 | 30 | 92 | 91 | 76 | 83 | 81 | 90 | 65 | 79 | 79 | 66 | 78 | 77 | 73 | 7 | 50 | 0 | 0 | 28 | 5 | 6,250,000$ | |||
9 | Danton Heinen (A) | X | X | X | 100.00 | 66 | 25 | 98 | 90 | 81 | 88 | 85 | 88 | 74 | 84 | 82 | 74 | 80 | 79 | 77 | 8 | 50 | 0 | 0 | 28 | 2 | 6,750,000$ | ||
10 | Luke Kunin | X | X | 100.00 | 84 | 46 | 82 | 84 | 82 | 83 | 81 | 81 | 76 | 73 | 74 | 72 | 75 | 72 | 79 | 6 | 50 | 0 | 0 | 26 | 3 | 1,700,000$ | |||
11 | Jake DeBrusk | X | X | 100.00 | 70 | 30 | 92 | 89 | 80 | 85 | 83 | 88 | 65 | 80 | 77 | 65 | 74 | 80 | 79 | 7 | 50 | 0 | 0 | 27 | 1 | 4,250,000$ | |||
12 | Mathieu Joseph | X | X | 100.00 | 80 | 37 | 87 | 88 | 82 | 88 | 83 | 82 | 73 | 75 | 76 | 68 | 74 | 78 | 78 | 7 | 50 | 0 | 0 | 26 | 5 | 3,750,000$ | |||
13 | Travis Dermott | X | 100.00 | 87 | 44 | 76 | 83 | 85 | 83 | 84 | 78 | 50 | 76 | 68 | 89 | 68 | 77 | 78 | 7 | 50 | 0 | 0 | 27 | 2 | 3,500,000$ | ||||
14 | Michael Del Zotto (C) | X | 100.00 | 84 | 37 | 91 | 84 | 80 | 80 | 78 | 87 | 50 | 83 | 77 | 83 | 77 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 2 | 6,750,000$ | ||||
15 | Dante Fabbro (R) | X | 100.00 | 80 | 38 | 80 | 82 | 81 | 87 | 88 | 80 | 50 | 75 | 66 | 85 | 63 | 80 | 83 | 7 | 50 | 0 | 0 | 25 | 1 | 2,100,000$ | ||||
16 | Dylan Coghlan (R) | X | 100.00 | 85 | 20 | 86 | 79 | 82 | 84 | 88 | 81 | 50 | 75 | 70 | 86 | 63 | 77 | 78 | 6 | 50 | 0 | 0 | 25 | 1 | 925,000$ | ||||
17 | Mark Pysyk | X | 100.00 | 97 | 44 | 71 | 74 | 90 | 91 | 86 | 82 | 50 | 82 | 74 | 93 | 65 | 99 | 99 | 7 | 50 | 0 | 0 | 31 | 2 | 4,250,000$ | ||||
18 | Tyler Wotherspoon | X | 100.00 | 93 | 38 | 77 | 77 | 84 | 83 | 75 | 81 | 50 | 75 | 70 | 90 | 62 | 91 | 93 | 6 | 50 | 0 | 0 | 30 | 1 | 4,100,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Pierre Engvall | X | X | 100.00 | 75 | 30 | 91 | 82 | 85 | 85 | 85 | 81 | 67 | 76 | 75 | 67 | 72 | 81 | 83 | 7 | 50 | 0 | 0 | 27 | 2 | 1,750,000$ | |||
2 | Ben Hutton | X | 100.00 | 76 | 38 | 86 | 77 | 81 | 79 | 76 | 79 | 50 | 75 | 66 | 88 | 63 | 85 | 84 | 6 | 50 | 0 | 0 | 30 | 1 | 2,000,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Scott Reedy (R) | X | 100.00 | 79 | 25 | 81 | 75 | 83 | 81 | 81 | 74 | 71 | 70 | 71 | 68 | 82 | 74 | 76 | 5 | 50 | 0 | 0 | 24 | 1 | 500,000$ | ||||
2 | Martin Pospisil (R) | X | 100.00 | 93 | 70 | 73 | 74 | 82 | 73 | 72 | 77 | 73 | 73 | 70 | 61 | 75 | 68 | 67 | 5 | 50 | 0 | 0 | 24 | 1 | 825,000$ | ||||
3 | Jordan Dumais (R) | X | 100.00 | 61 | 25 | 74 | 75 | 68 | 77 | 81 | 77 | 67 | 72 | 71 | 63 | 81 | 67 | 65 | 7 | 50 | 0 | 0 | 19 | 3 | 925,000$ | ||||
4 | Ivan Lodnia (R) | X | 100.00 | 60 | 35 | 91 | 78 | 75 | 83 | 83 | 78 | 65 | 73 | 71 | 64 | 73 | 67 | 67 | 6 | 50 | 0 | 0 | 24 | 1 | 900,000$ | ||||
5 | Riley Tufte (R) | X | 100.00 | 85 | 45 | 86 | 77 | 87 | 79 | 82 | 78 | 67 | 72 | 71 | 67 | 73 | 72 | 76 | 5 | 50 | 0 | 0 | 25 | 1 | 850,000$ | ||||
6 | Brent Gates (R) | X | X | 100.00 | 64 | 45 | 81 | 77 | 77 | 78 | 77 | 76 | 74 | 70 | 69 | 65 | 71 | 71 | 74 | 5 | 50 | 0 | 0 | 26 | 1 | 750,000$ | |||
7 | Maxim Sushko (R) | X | 100.00 | 75 | 42 | 86 | 79 | 77 | 83 | 84 | 78 | 65 | 72 | 73 | 63 | 74 | 72 | 72 | 6 | 50 | 0 | 0 | 24 | 1 | 900,000$ | ||||
8 | Justin Dowling | X | X | X | 100.00 | 75 | 35 | 96 | 75 | 79 | 79 | 78 | 80 | 74 | 73 | 73 | 73 | 73 | 88 | 86 | 1 | 50 | 0 | 0 | 33 | 2 | 800,000$ | ||
9 | Garrett Pilon (R) | X | 100.00 | 75 | 30 | 80 | 80 | 77 | 79 | 84 | 81 | 76 | 74 | 73 | 66 | 82 | 78 | 76 | 6 | 50 | 0 | 0 | 25 | 1 | 1,200,000$ | ||||
10 | Emil Bemstrom (R) | X | X | 100.00 | 81 | 41 | 80 | 83 | 75 | 77 | 75 | 77 | 70 | 69 | 70 | 65 | 71 | 67 | 66 | 5 | 50 | 0 | 0 | 24 | 1 | 800,000$ | |||
11 | Mitchell Stephens (R) | X | 100.00 | 68 | 30 | 93 | 85 | 81 | 85 | 75 | 80 | 73 | 75 | 70 | 68 | 71 | 75 | 76 | 6 | 50 | 0 | 0 | 26 | 1 | 1,800,000$ | ||||
12 | Ross Colton | X | 100.00 | 80 | 37 | 87 | 80 | 86 | 84 | 82 | 78 | 74 | 72 | 72 | 70 | 70 | 74 | 74 | 5 | 50 | 0 | 0 | 27 | 1 | 1,000,000$ | ||||
13 | Johnathan MacLeod | X | 100.00 | 94 | 44 | 72 | 75 | 87 | 80 | 80 | 75 | 50 | 73 | 67 | 88 | 63 | 74 | 75 | 6 | 50 | 0 | 0 | 27 | 1 | 900,000$ | ||||
14 | Max Gildon (R) | X | 100.00 | 80 | 50 | 73 | 76 | 83 | 81 | 77 | 73 | 51 | 70 | 62 | 84 | 60 | 71 | 66 | 5 | 50 | 0 | 0 | 24 | 1 | 900,000$ | ||||
15 | Eemeli Räsänen (R) | X | 100.00 | 84 | 45 | 70 | 71 | 86 | 76 | 76 | 71 | 55 | 68 | 66 | 67 | 55 | 65 | 62 | 3 | 50 | 0 | 0 | 24 | 1 | 750,000$ | ||||
16 | Sergei Zborovsky (R) | X | 100.00 | 77 | 40 | 77 | 77 | 81 | 82 | 78 | 76 | 54 | 72 | 60 | 82 | 60 | 69 | 66 | 5 | 50 | 0 | 0 | 26 | 1 | 900,000$ | ||||
17 | Nicolas Beaudin (R) | X | 100.00 | 78 | 30 | 77 | 79 | 74 | 81 | 84 | 81 | 62 | 75 | 63 | 78 | 70 | 77 | 77 | 6 | 50 | 0 | 0 | 24 | 2 | 900,000$ | ||||
18 | Oleg Sosunov (R) | X | 100.00 | 93 | 49 | 73 | 69 | 96 | 80 | 75 | 70 | 50 | 67 | 63 | 87 | 60 | 72 | 70 | 4 | 50 | 0 | 0 | 25 | 2 | 850,000$ | ||||
19 | Drake Rymsha (R) | X | 100.00 | 82 | 45 | 72 | 71 | 81 | 81 | 86 | 73 | 76 | 70 | 69 | 67 | 71 | 73 | 72 | 4 | 50 | 0 | 0 | 25 | 1 | 750,000$ | ||||
20 | Max Hermens (R) | X | 100.00 | 67 | 30 | 84 | 77 | 72 | 74 | 69 | 75 | 72 | 67 | 68 | 66 | 70 | 64 | 65 | 3 | 50 | 0 | 0 | 26 | 1 | 700,000$ | ||||
21 | Mikey Eyssimont | X | X | 100.00 | 77 | 43 | 82 | 79 | 79 | 80 | 76 | 77 | 72 | 71 | 70 | 66 | 69 | 71 | 71 | 4 | 50 | 0 | 0 | 27 | 1 | 800,000$ | |||
22 | Ryan Shea (R) | X | 100.00 | 72 | 30 | 85 | 78 | 80 | 82 | 83 | 77 | 54 | 75 | 62 | 84 | 64 | 69 | 69 | 5 | 50 | 0 | 0 | 26 | 1 | 950,000$ | ||||
TEAM AVERAGE | 100.00 | 80 | 35 | 87 | 83 | 81 | 84 | 83 | 84 | 64 | 78 | 75 | 76 | 74 | 84 | 84 | 5 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Benjamin Conz | 100.00 | 85 | 83 | 84 | 83 | 92 | 91 | 91 | 88 | 88 | 90 | 86 | 87 | 89 | 8 | 50 | 0 | 0 | 32 | 2 | 2,450,000$ | |
2 | Ilya Samsonov | 100.00 | 88 | 87 | 86 | 86 | 94 | 91 | 92 | 92 | 92 | 93 | 86 | 76 | 74 | 9 | 50 | 0 | 0 | 26 | 1 | 4,000,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Joonas Korpisalo | 100.00 | 85 | 81 | 82 | 83 | 86 | 84 | 85 | 84 | 85 | 85 | 82 | 73 | 77 | 6 | 50 | 0 | 0 | 29 | 2 | 1,800,000$ | |
2 | Mike Robinson (R) | 100.00 | 86 | 83 | 85 | 86 | 84 | 83 | 83 | 82 | 83 | 82 | 84 | 63 | 62 | 6 | 50 | 0 | 0 | 26 | 1 | 800,000$ | |
3 | Eric Comrie | 100.00 | 88 | 80 | 82 | 84 | 87 | 86 | 86 | 87 | 86 | 86 | 85 | 76 | 70 | 6 | 50 | 0 | 0 | 28 | 1 | 1,000,000$ | |
TEAM AVERAGE | 100.00 | 87 | 85 | 85 | 85 | 93 | 91 | 92 | 90 | 90 | 92 | 86 | 82 | 82 | 9 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Guy Boucher | 81 | 89 | 82 | 84 | 84 | 83 | 70 | CAN | 52 | 2 | 2,500,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sam Gagner | Los Angeles Kings | C/LW/RW | 7 | 2 | 5 | 7 | -1 | 0 | 0 | 2 | 6 | 15 | 4 | 5 | 13.33% | 0 | 109 | 15.68 | 0 | 2 | 2 | 4 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 56.84% | 95 | 7 | 1 | 0 | 0 | 1.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 | Danton Heinen | Los Angeles Kings | C/LW/RW | 7 | 3 | 4 | 7 | 5 | 0 | 0 | 2 | 7 | 14 | 4 | 17 | 21.43% | 3 | 142 | 20.34 | 0 | 0 | 0 | 2 | 18 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 50.00% | 6 | 14 | 3 | 0 | 0 | 0.98 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
3 | Christian Dvorak | Los Angeles Kings | C/LW | 7 | 2 | 3 | 5 | -1 | 0 | 0 | 6 | 9 | 14 | 4 | 6 | 14.29% | 0 | 125 | 17.97 | 0 | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 27 | 0 | 0 | 56.00% | 25 | 8 | 3 | 0 | 0 | 0.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
4 | Elias Lindholm | Los Angeles Kings | C/RW | 7 | 2 | 3 | 5 | 2 | 4 | 0 | 10 | 3 | 17 | 8 | 11 | 11.76% | 2 | 116 | 16.65 | 0 | 0 | 0 | 3 | 18 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 46.30% | 108 | 11 | 1 | 0 | 0 | 0.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Jake DeBrusk | Los Angeles Kings | LW/RW | 7 | 2 | 3 | 5 | 2 | 0 | 0 | 3 | 1 | 15 | 5 | 11 | 13.33% | 1 | 118 | 16.92 | 1 | 0 | 1 | 4 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 66.67% | 3 | 6 | 0 | 0 | 0 | 0.84 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
6 | Andreas Johnsson | Los Angeles Kings | LW/RW | 7 | 2 | 2 | 4 | -2 | 0 | 0 | 6 | 3 | 16 | 7 | 11 | 12.50% | 0 | 101 | 14.46 | 1 | 0 | 1 | 3 | 17 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0.00% | 1 | 4 | 1 | 0 | 0 | 0.79 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
7 | Patrick Kane | Los Angeles Kings | C/RW | 7 | 2 | 1 | 3 | -3 | 2 | 0 | 1 | 1 | 12 | 6 | 8 | 16.67% | 0 | 77 | 11.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 2 | 8 | 0 | 0 | 0 | 0.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8 | Dylan Coghlan | Los Angeles Kings | D | 7 | 1 | 2 | 3 | -1 | 4 | 0 | 13 | 18 | 12 | 2 | 5 | 8.33% | 8 | 157 | 22.47 | 0 | 0 | 0 | 2 | 15 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 9 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9 | Michael Del Zotto | Los Angeles Kings | D | 3 | 0 | 2 | 2 | -1 | 0 | 0 | 3 | 5 | 1 | 2 | 2 | 0.00% | 3 | 53 | 17.87 | 0 | 1 | 1 | 1 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Michael McCarron | Los Angeles Kings | C/RW | 7 | 0 | 2 | 2 | -3 | 6 | 0 | 8 | 10 | 6 | 7 | 5 | 0.00% | 4 | 105 | 15.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 23 | 0 | 0 | 44.23% | 52 | 1 | 4 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Pavel Buchnevich | Los Angeles Kings | LW/RW | 7 | 0 | 2 | 2 | -5 | 2 | 0 | 6 | 1 | 17 | 10 | 13 | 0.00% | 1 | 109 | 15.70 | 0 | 0 | 0 | 3 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 10 | 0 | 0 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Dante Fabbro | Los Angeles Kings | D | 7 | 0 | 1 | 1 | -2 | 6 | 0 | 6 | 10 | 6 | 3 | 1 | 0.00% | 14 | 144 | 20.64 | 0 | 0 | 0 | 2 | 15 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 5 | 0 | 0 | 0.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Ben Hutton | Los Angeles Kings | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 3 | 1 | 2 | 0.00% | 0 | 67 | 16.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Travis Dermott | Los Angeles Kings | D | 7 | 0 | 0 | 0 | 2 | 8 | 0 | 11 | 9 | 3 | 5 | 1 | 0.00% | 11 | 152 | 21.82 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 6 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Joachim Blichfeld | Los Angeles Kings | LW/RW | 7 | 0 | 0 | 0 | -1 | 2 | 0 | 9 | 4 | 6 | 2 | 2 | 0.00% | 3 | 62 | 8.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 3 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Mark Pysyk | Los Angeles Kings | D | 7 | 0 | 0 | 0 | -1 | 18 | 0 | 22 | 15 | 6 | 4 | 3 | 0.00% | 9 | 153 | 21.92 | 0 | 0 | 0 | 2 | 20 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 7 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Tyler Wotherspoon | Los Angeles Kings | D | 7 | 0 | 0 | 0 | -3 | 4 | 0 | 19 | 20 | 5 | 4 | 2 | 0.00% | 11 | 137 | 19.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 1 | 11 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Luke Kunin | Los Angeles Kings | C/RW | 7 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 5 | 11 | 2 | 4 | 0.00% | 2 | 95 | 13.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 28 | 0 | 0 | 49.09% | 55 | 6 | 4 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Mathieu Joseph | Los Angeles Kings | LW/RW | 7 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 1 | 15 | 2 | 2 | 0.00% | 1 | 62 | 8.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 7 | 1 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 126 | 16 | 30 | 46 | -15 | 56 | 0 | 136 | 131 | 194 | 82 | 111 | 8.25% | 73 | 2093 | 16.62 | 2 | 4 | 6 | 27 | 180 | 0 | 0 | 0 | 6 | 215 | 3 | 2 | 50.14% | 355 | 86 | 62 | 0 | 0 | 0.44 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 |
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 | Ilya Samsonov | Los Angeles Kings | 7 | 3 | 3 | 1 | 0.906 | 2.94 | 429 | 4 | 0 | 21 | 224 | 119 | 0 | 0 | 0.000 | 0 | 7 | 0 | 0 | 0 | 0 |
Team Total or Average | 7 | 3 | 3 | 1 | 0.906 | 2.94 | 429 | 4 | 0 | 21 | 224 | 119 | 0 | 0 | 0.000 | 0 | 7 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | Birthday | Terms | Contract | Cap % | Year 2023 | Year 2024 | Year 2025 | Year 2026 | Year 2027 | Year 2028 | Year 2029 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Forward | |||||||||||||
Andreas Johnsson | LW/RW | 29 | 1993-01-22 13:28:41 | TW | 1 | 2.53% | 2,200,000$ | UFA [Age: 30] | |||||
Christian Dvorak | C/LW | 27 | 1995-01-22 04:03:01 | TW | 3 | 4.89% | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA [Age: 30] | |||
Danton Heinen | C/LW/RW | 28 | 1994-01-21 01:47:40 | TW | 2 | 7.76% | 6,750,000$ | 6,750,000$ | UFA [Age: 30] | ||||
Elias Lindholm | C/RW | 29 | 1993-01-22 09:44:23 | TW | 4 | 7.47% | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA [Age: 33] | ||
Jake DeBrusk | LW/RW | 27 | 1995-01-22 05:03:01 | TW | 1 | 4.89% | 4,250,000$ | UFA [Age: 28] | |||||
Joachim Blichfeld | LW/RW | 25 | 1997-01-22 23:31:24 | TW | 1 | 1.78% | 1,550,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Luke Kunin | C/RW | 26 | 1996-01-22 09:33:27 | TW | 3 | 1.95% | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA [Age: 29] | |||
Mathieu Joseph | LW/RW | 26 | 1996-01-22 04:21:08 | TW | 5 | 4.31% | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA [Age: 31] | |
Michael McCarron | C/RW | 28 | 1994-01-22 05:18:57 | TW | 4 | 3.29% | 2,700,000$ | 2,700,000$ | 3,200,000$ | 3,200,000$ | UFA [Age: 32] | ||
Patrick Kane | C/RW | 35 | 1987-01-22 00:29:38 | TW | 1 | 2.01% | 1,750,000$ | UFA [Age: 36] | |||||
Pavel Buchnevich | LW/RW | 28 | 1994-01-22 11:51:42 | TW | 5 | 7.18% | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA [Age: 33] | |
Pierre Engvall | LW/RW | 27 | 1995-01-02 00:51:02 | TW | 2 | 2.01% | 1,750,000$ | 1,750,000$ | UFA [Age: 29] | ||||
Sam Gagner | C/LW/RW | 34 | 1988-01-22 06:29:38 | TW | 2 | 7.47% | 6,500,000$ | 6,500,000$ | UFA [Age: 36] | ||||
AVERAGE (13) | 28.38 | 57.54% | 50,060,000$ | 40,310,000$ | 25,310,000$ | 19,360,000$ | 10,000,000$ | 0$ | 0$ | ||||
Defenseman | |||||||||||||
Ben Hutton | D | 30 | 1992-01-22 13:12:05 | TW | 1 | 2.30% | 2,000,000$ | UFA [Age: 31] | |||||
Dante Fabbro | D | 25 | 1997-01-02 01:35:36 | TW | 1 | 2.41% | 2,100,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Dylan Coghlan | D | 25 | 1997-01-02 13:42:19 | TW | 1 | 1.06% | 925,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Mark Pysyk | D | 31 | 1991-01-22 05:48:53 | TW | 2 | 4.89% | 4,250,000$ | 4,250,000$ | UFA [Age: 33] | ||||
Michael Del Zotto | D | 33 | 1989-01-22 12:29:38 | TW | 2 | 7.76% | 6,750,000$ | 6,750,000$ | UFA [Age: 35] | ||||
Travis Dermott | D | 27 | 1995-01-22 07:57:25 | TW | 2 | 4.02% | 3,500,000$ | 3,500,000$ | UFA [Age: 29] | ||||
Tyler Wotherspoon | D | 30 | 1992-01-22 12:38:52 | TW | 1 | 4.71% | 4,100,000$ | UFA [Age: 31] | |||||
AVERAGE (7) | 28.71 | 27.16% | 23,625,000$ | 14,500,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||
Goalies | |||||||||||||
Benjamin Conz | G | 32 | 1990-01-22 14:29:40 | NT TW | 2 | 2.82% | 2,450,000$ | 2,450,000$ | UFA [Age: 34] | ||||
Ilya Samsonov | G | 26 | 1996-01-22 04:44:18 | TW | 1 | 4.60% | 4,000,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
AVERAGE (2) | 29.00 | 7.41% | 6,450,000$ | 2,450,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||
Special Salary Cap Value | -500,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||||
TOTAL (22) | 91.53% | 79,635,000$ | 57,260,000$ | 25,310,000$ | 19,360,000$ | 10,000,000$ | 0$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
DeBrusk
0
|
Lindholm
0
|
Johnsson
0
| |||||
Dvorak
0
|
Gagner
0
|
Heinen
0
| |||||
Buchnevich
0
|
McCarron
0
|
Kane
0
| |||||
Blichfeld
0
|
Kunin
0
|
Joseph
7
|
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Del Zotto
72
|
Coghlan
0
| ||||||
Fabbro
57
|
Dermott
0
| ||||||
Pysyk
18
|
Wotherspoon
0
| ||||||
Del Zotto
72
|
Coghlan
0
|
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Buchnevich
0
|
Lindholm
0
|
Heinen
0
| |||||
Johnsson
0
|
Gagner
0
|
DeBrusk
0
|
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Del Zotto
72
|
Pysyk
18
| ||||||
Dermott
0
|
Coghlan
0
|
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Dvorak
0
|
McCarron
0
| |||||
Kunin
0
|
Heinen
0
|
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Dermott
0
|
Wotherspoon
0
| |||||
Pysyk
18
|
Coghlan
0
|
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Wing | Defense | Defense | |||||||||
McCarron
0
|
Fabbro
57
|
Wotherspoon
0
| |||||||||
Heinen
0
|
Pysyk
18
|
Coghlan
0
|
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Dvorak
0
|
DeBrusk
0
| |||||
Lindholm
0
|
Heinen
0
|
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Pysyk
18
|
Del Zotto
72
| |||||
Fabbro
57
|
Coghlan
0
|
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jake DeBrusk | Elias Lindholm | Danton Heinen | Mark Pysyk | Michael Del Zotto |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Danton Heinen | Christian Dvorak | Michael McCarron | Michael Del Zotto | Mark Pysyk |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Pavel Buchnevich, Patrick Kane, Mathieu Joseph | Patrick Kane, Christian Dvorak | Luke Kunin |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Travis Dermott, Tyler Wotherspoon, Dylan Coghlan | Dante Fabbro | Dante Fabbro, Michael Del Zotto |
Penalty Shots |
---|
Elias Lindholm, Danton Heinen, Patrick Kane, Sam Gagner, Andreas Johnsson |
Goalie |
---|
#1 : Ilya Samsonov, #2 : Benjamin Conz |
Custom OT Lines Forwards |
---|
Elias Lindholm, Danton Heinen, Pavel Buchnevich, Sam Gagner, Christian Dvorak, Jake DeBrusk, Jake DeBrusk, Andreas Johnsson, Michael McCarron, Luke Kunin, Mathieu Joseph |
Custom OT Lines Defensemen |
---|
Travis Dermott, Michael Del Zotto, Mark Pysyk, Dante Fabbro, Dylan Coghlan |
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 |
1 | Vegas Golden Knights | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 21 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 6 | 0.429 | 16 | 30 | 46 | 0 | 0 | 7 | 4 | 4 | 1 | 194 | 69 | 50 | 71 | 4 | 224 | 73 | 60 | 136 | 20 | 2 | 10.00% | 30 | 4 | 86.67% | 0 | 77 | 140 | 55.00% | 61 | 141 | 43.26% | 40 | 74 | 54.05% | 153 | 97 | 171 | 57 | 105 | 49 |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 21 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 6 | 0.429 | 16 | 30 | 46 | 0 | 0 | 7 | 4 | 4 | 1 | 194 | 69 | 50 | 71 | 4 | 224 | 73 | 60 | 136 | 20 | 2 | 10.00% | 30 | 4 | 86.67% | 0 | 77 | 140 | 55.00% | 61 | 141 | 43.26% | 40 | 74 | 54.05% | 153 | 97 | 171 | 57 | 105 | 49 | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 21 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 6 | 0.429 | 16 | 30 | 46 | 0 | 0 | 7 | 4 | 4 | 1 | 194 | 69 | 50 | 71 | 4 | 224 | 73 | 60 | 136 | 20 | 2 | 10.00% | 30 | 4 | 86.67% | 0 | 77 | 140 | 55.00% | 61 | 141 | 43.26% | 40 | 74 | 54.05% | 153 | 97 | 171 | 57 | 105 | 49 | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 21 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 6 | 0.429 | 16 | 30 | 46 | 0 | 0 | 7 | 4 | 4 | 1 | 194 | 69 | 50 | 71 | 4 | 224 | 73 | 60 | 136 | 20 | 2 | 10.00% | 30 | 4 | 86.67% | 0 | 77 | 140 | 55.00% | 61 | 141 | 43.26% | 40 | 74 | 54.05% | 153 | 97 | 171 | 57 | 105 | 49 | |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 21 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 6 | 0.429 | 16 | 30 | 46 | 0 | 0 | 7 | 4 | 4 | 1 | 194 | 69 | 50 | 71 | 4 | 224 | 73 | 60 | 136 | 20 | 2 | 10.00% | 30 | 4 | 86.67% | 0 | 77 | 140 | 55.00% | 61 | 141 | 43.26% | 40 | 74 | 54.05% | 153 | 97 | 171 | 57 | 105 | 49 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
7 | 6 | L1 | 16 | 30 | 46 | 194 | 224 | 73 | 60 | 136 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
7 | 3 | 4 | 0 | 0 | 0 | 0 | 16 | 21 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 1 | 2 | 0 | 0 | 0 | 0 | 6 | 10 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 10 | 11 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 3 | 0 | 1 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
20 | 2 | 10.00% | 30 | 4 | 86.67% | 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 |
---|---|---|---|---|---|---|---|
69 | 50 | 71 | 4 | 7 | 4 | 4 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
77 | 140 | 55.00% | 61 | 141 | 43.26% | 40 | 74 | 54.05% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
153 | 97 | 171 | 57 | 105 | 49 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
Day:2 | ||||||||||
2 | 5 | Los Angeles Kings | 4 | Vegas Golden Knights | 3 | W | X | BoxScore | ||
Day:4 | ||||||||||
4 | 13 | Los Angeles Kings | 4 | Vegas Golden Knights | 3 | W | BoxScore | |||
Day:6 | ||||||||||
6 | 21 | Vegas Golden Knights | 3 | Los Angeles Kings | 2 | L | X | BoxScore | ||
Day:8 | ||||||||||
8 | 29 | Vegas Golden Knights | 5 | Los Angeles Kings | 1 | L | BoxScore | |||
Day:10 | ||||||||||
10 | 37 | Los Angeles Kings | 1 | Vegas Golden Knights | 3 | L | BoxScore | |||
Day:12 | ||||||||||
12 | 45 | Vegas Golden Knights | 2 | Los Angeles Kings | 3 | W | BoxScore | |||
Day:14 | ||||||||||
14 | 53 | Los Angeles Kings | 1 | Vegas Golden Knights | 2 | L | BoxScore |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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 | Lien |
---|---|---|---|---|
Alexander Perevalov | Los Angeles Kings | 2022 | 48 | Lien DobberProspects |
Andrei Loshko | Los Angeles Kings | 2023 | 104 | Lien DobberProspects |
Arthur Kaliyev | Los Angeles Kings | 2019 | 11 | Lien DobberProspects |
Axel Jonsson Fjällby | Los Angeles Kings | 2023 | 190 | Lien DobberProspects |
Braden Holt | Los Angeles Kings | 2022 | 194 | Lien DobberProspects |
Cam Squires | Los Angeles Kings | 2023 | 90 | Lien DobberProspects |
Christian Kyrou | Los Angeles Kings | 2022 | 71 | Lien DobberProspects |
Christopher Paquette | Los Angeles Kings | 2016 | 135 | Lien DobberProspects |
Cross Hanas | Los Angeles Kings | 2020 | 124 | Lien DobberProspects |
Demetrios Koumontzis | Los Angeles Kings | 2018 | 138 | Lien DobberProspects |
Dylan MacKinnon | Los Angeles Kings | 2023 | 121 | Lien DobberProspects |
Ethan Miedema | Los Angeles Kings | 2023 | 113 | Lien DobberProspects |
Felix Nilsson | Los Angeles Kings | 2023 | 62 | Lien DobberProspects |
Jackson Lacombe | Los Angeles Kings | 2019 | 61 | Lien DobberProspects |
Jake Fisher | Los Angeles Kings | 2023 | 112 | Lien DobberProspects |
Jake Furlong | Los Angeles Kings | 2022 | 170 | Lien DobberProspects |
Jake Livanavage | Los Angeles Kings | 2022 | 128 | Lien DobberProspects |
Jake Neighbours | Los Angeles Kings | 2020 | 50 | Lien DobberProspects |
Joey Keane | Los Angeles Kings | 2018 | 116 | Lien DobberProspects |
Jordan Tourigny | Los Angeles Kings | 2023 | 124 | Lien DobberProspects |
Josh Filmon | Los Angeles Kings | 2022 | 121 | Lien DobberProspects |
Judd Caulfield | Los Angeles Kings | 2019 | 144 | Lien DobberProspects |
Liam Hawel | Los Angeles Kings | 2017 | 139 | Lien DobberProspects |
Lukas Dragicevic | Los Angeles Kings | 2023 | 40 | Lien DobberProspects |
Luke Prokop | Los Angeles Kings | 2020 | 154 | Lien DobberProspects |
Mans Forsfjäll | Los Angeles Kings | 2022 | 154 | Lien DobberProspects |
Michael Buchinger | Los Angeles Kings | 2022 | 94 | Lien DobberProspects |
Nicholas Moldenhauer | Los Angeles Kings | 2022 | 107 | Lien DobberProspects |
Oskar Pettersson | Los Angeles Kings | 2022 | 161 | Lien DobberProspects |
Riley Heidt | Los Angeles Kings | 2023 | 26 | Lien DobberProspects |
Samu Salminen | Los Angeles Kings | 2021 | 64 | Lien DobberProspects |
Samuel Fagemo | Los Angeles Kings | 2019 | 50 | Lien DobberProspects |
Scott Ratzlaff | Los Angeles Kings | 2023 | 83 | Lien DobberProspects |
Tyler Brennan | Los Angeles Kings | 2022 | 58 | Lien DobberProspects |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |