![]() | Lightning |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Jimmy Martel | Morale : 40 | Team Overall : 72 |
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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 | Leon Draisaitl (A) | X | X | X | 100.00 | 60 | 36 | 85 | 84 | 82 | 94 | 90 | 86 | 83 | 89 | 93 | 68 | 90 | 74 | 78 | 74 | 40 | 79 | 0 | 27 | 3 | 8,500,000$ | ||
2 | Nathan MacKinnon (C) | X | X | 100.00 | 64 | 35 | 78 | 90 | 74 | 91 | 86 | 89 | 82 | 93 | 84 | 64 | 88 | 73 | 77 | 81 | 40 | 78 | 0 | 27 | 1 | 6,300,000$ | |||
3 | Logan Couture | X | 100.00 | 67 | 39 | 85 | 76 | 79 | 90 | 92 | 77 | 83 | 75 | 76 | 85 | 77 | 83 | 91 | 52 | 40 | 76 | 0 | 34 | 5 | 8,000,000$ | ||||
4 | Nikita Kucherov | X | 100.00 | 63 | 34 | 82 | 84 | 69 | 90 | 76 | 89 | 55 | 92 | 86 | 63 | 90 | 74 | 77 | 56 | 40 | 76 | 0 | 29 | 5 | 9,500,000$ | ||||
5 | Evander Kane | X | 100.00 | 83 | 76 | 67 | 77 | 82 | 90 | 83 | 76 | 62 | 77 | 80 | 74 | 76 | 79 | 74 | 69 | 40 | 74 | 0 | 31 | 4 | 5,125,000$ | ||||
6 | Rickard Rakell | X | 100.00 | 71 | 35 | 94 | 75 | 77 | 88 | 85 | 76 | 62 | 74 | 73 | 66 | 77 | 74 | 71 | 63 | 40 | 71 | 0 | 30 | 6 | 5,000,000$ | ||||
7 | Eric Staal | X | 100.00 | 56 | 43 | 84 | 66 | 85 | 87 | 89 | 70 | 85 | 74 | 69 | 65 | 72 | 87 | 83 | 46 | 52 | 70 | 0 | 38 | 1 | 750,000$ | ||||
8 | Jordan Greenway | X | 100.00 | 82 | 77 | 66 | 68 | 99 | 86 | 81 | 66 | 52 | 74 | 67 | 73 | 69 | 67 | 68 | 71 | 40 | 70 | 0 | 26 | 3 | 3,000,000$ | ||||
9 | Alexander Barabanov | X | 100.00 | 60 | 34 | 93 | 74 | 69 | 87 | 87 | 74 | 55 | 79 | 65 | 66 | 70 | 69 | 70 | 36 | 40 | 69 | 0 | 28 | 2 | 2,500,000$ | ||||
10 | Blake Lizotte | X | 100.00 | 64 | 33 | 87 | 74 | 63 | 80 | 88 | 69 | 83 | 67 | 63 | 74 | 68 | 65 | 66 | 52 | 46 | 67 | 0 | 25 | 2 | 1,675,000$ | ||||
11 | Colin White | X | 100.00 | 69 | 35 | 91 | 71 | 76 | 84 | 79 | 69 | 74 | 68 | 70 | 62 | 73 | 66 | 68 | 79 | 45 | 67 | 0 | 26 | 1 | 1,200,000$ | ||||
12 | John Carlson (A) | X | 100.00 | 64 | 37 | 95 | 76 | 86 | 94 | 90 | 78 | 30 | 89 | 77 | 82 | 61 | 83 | 74 | 52 | 40 | 77 | 0 | 33 | 4 | 8,000,000$ | ||||
13 | Oscar Klefbom | X | 100.00 | 63 | 37 | 86 | 70 | 87 | 92 | 73 | 71 | 30 | 82 | 64 | 83 | 55 | 76 | 68 | 66 | 40 | 73 | 0 | 29 | 1 | 4,167,000$ | ||||
14 | Brandon Montour | X | 100.00 | 65 | 38 | 73 | 75 | 73 | 89 | 90 | 73 | 30 | 81 | 71 | 68 | 58 | 72 | 71 | 57 | 40 | 71 | 0 | 29 | 2 | 3,500,000$ | ||||
15 | Connor Clifton | X | 100.00 | 88 | 46 | 78 | 67 | 72 | 87 | 86 | 63 | 30 | 70 | 56 | 76 | 51 | 67 | 69 | 58 | 40 | 70 | 0 | 28 | 1 | 1,000,000$ | ||||
16 | Jacob Middleton | X | 100.00 | 78 | 71 | 69 | 61 | 87 | 83 | 79 | 62 | 30 | 71 | 59 | 82 | 50 | 65 | 66 | 56 | 40 | 70 | 0 | 27 | 3 | 2,450,000$ | ||||
17 | Matt Grzelcyk | X | 100.00 | 57 | 33 | 87 | 74 | 65 | 90 | 87 | 71 | 30 | 77 | 64 | 61 | 55 | 70 | 72 | 53 | 40 | 68 | 0 | 29 | 2 | 3,687,500$ | ||||
18 | Nikolai Knyzhov | X | 100.00 | 81 | 38 | 78 | 65 | 84 | 80 | 77 | 64 | 30 | 67 | 58 | 69 | 50 | 65 | 66 | 54 | 58 | 68 | 0 | 25 | 1 | 850,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||||||||
1 | Pius Suter | X | 100.00 | 58 | 34 | 92 | 73 | 67 | 87 | 90 | 74 | 83 | 71 | 70 | 75 | 73 | 66 | 69 | 42 | 79 | 70 | 0 | 27 | 1 | 3,250,000$ | ||||
2 | Riley Sheahan | X | 100.00 | 70 | 38 | 91 | 62 | 84 | 82 | 93 | 64 | 80 | 65 | 63 | 79 | 61 | 76 | 73 | 64 | 57 | 68 | 0 | 31 | 1 | 950,000$ | ||||
3 | Jonathan Dahlen | X | 100.00 | 56 | 34 | 85 | 74 | 68 | 83 | 79 | 72 | 69 | 66 | 71 | 59 | 76 | 64 | 67 | 72 | 75 | 67 | 0 | 25 | 1 | 700,000$ | ||||
4 | Ryan Poehling | X | 100.00 | 68 | 37 | 94 | 68 | 80 | 79 | 86 | 67 | 80 | 64 | 67 | 63 | 66 | 63 | 65 | 81 | 40 | 66 | 0 | 24 | 1 | 750,000$ | ||||
5 | Stefan Noesen | X | 100.00 | 69 | 36 | 84 | 66 | 78 | 87 | 85 | 64 | 63 | 65 | 66 | 68 | 64 | 70 | 71 | 66 | 62 | 66 | 0 | 30 | 2 | 762,500$ | ||||
6 | Sam Carrick | X | 100.00 | 77 | 74 | 63 | 65 | 74 | 81 | 91 | 62 | 74 | 63 | 66 | 60 | 65 | 70 | 72 | 45 | 60 | 65 | 0 | 31 | 2 | 850,000$ | ||||
7 | Andy Andreoff | X | 100.00 | 78 | 37 | 73 | 64 | 79 | 83 | 88 | 63 | 75 | 61 | 62 | 59 | 63 | 71 | 73 | 54 | 54 | 64 | 0 | 32 | 2 | 762,500$ | ||||
8 | Steven Lorentz | X | 100.00 | 65 | 38 | 95 | 64 | 88 | 77 | 86 | 65 | 80 | 62 | 61 | 56 | 62 | 66 | 67 | 56 | 35 | 64 | 0 | 27 | 2 | 1,050,000$ | ||||
9 | Thomas Bordeleau | X | 100.00 | 56 | 35 | 95 | 70 | 67 | 86 | 62 | 69 | 77 | 68 | 57 | 63 | 68 | 61 | 62 | 77 | 77 | 64 | 0 | 21 | 2 | 916,677$ | ||||
10 | Max Veronneau | X | 100.00 | 54 | 35 | 92 | 61 | 76 | 77 | 71 | 62 | 57 | 60 | 63 | 55 | 62 | 71 | 66 | 42 | 74 | 61 | 0 | 27 | 1 | 750,000$ | ||||
11 | Brandon Coe | X | 100.00 | 65 | 39 | 87 | 63 | 84 | 73 | 68 | 59 | 52 | 58 | 53 | 60 | 56 | 61 | 63 | 65 | 77 | 60 | 0 | 21 | 2 | 850,833$ | ||||
12 | Jaycob Megna | X | 100.00 | 84 | 74 | 78 | 60 | 96 | 85 | 88 | 59 | 30 | 66 | 58 | 73 | 45 | 70 | 75 | 39 | 82 | 70 | 0 | 30 | 2 | 762,500$ | ||||
13 | Niko Mikkola | X | 100.00 | 79 | 54 | 75 | 60 | 88 | 86 | 82 | 59 | 30 | 70 | 58 | 75 | 50 | 65 | 66 | 55 | 74 | 69 | 0 | 27 | 1 | 1,900,000$ | ||||
14 | Riley Stillman | X | 100.00 | 86 | 53 | 78 | 65 | 77 | 86 | 79 | 63 | 30 | 70 | 57 | 72 | 51 | 64 | 65 | 58 | 85 | 69 | 0 | 25 | 2 | 1,350,000$ | ||||
15 | Thomas Gregoire | X | 100.00 | 57 | 42 | 83 | 60 | 66 | 78 | 83 | 61 | 30 | 63 | 56 | 59 | 46 | 65 | 63 | 51 | 51 | 61 | 0 | 24 | 1 | 700,000$ | ||||
TEAM AVERAGE | 100.00 | 68 | 44 | 83 | 70 | 78 | 85 | 83 | 69 | 57 | 72 | 67 | 68 | 65 | 70 | 70 | 59 | 53 | 69 |
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 | Adin Hill | 100.00 | 86 | 94 | 90 | 95 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 66 | 75 | 62 | 40 | 83 | 0 | 27 | 1 | 2,175,000$ | |
2 | Connor Ingram | 100.00 | 75 | 77 | 78 | 80 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 66 | 73 | 61 | 78 | 73 | 0 | 26 | 1 | 733,333$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Jeremy Swayman | 100.00 | 89 | 90 | 87 | 83 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 64 | 71 | 59 | 48 | 83 | 0 | 24 | 1 | 925,000$ | |
2 | Zach Sawchenko | 100.00 | 73 | 74 | 72 | 74 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 65 | 73 | 56 | 79 | 71 | 0 | 25 | 1 | 750,000$ | |
TEAM AVERAGE | 100.00 | 81 | 84 | 82 | 83 | 80 | 79 | 81 | 80 | 79 | 81 | 80 | 65 | 73 | 60 | 61 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jon Cooper | 84 | 91 | 90 | 76 | 82 | 76 | 67 | CAN | 55 | 1 | 100,000$ |
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 | Waiver Possible | Contract | Type | Current Salary | 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 |
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Adin Hill | ![]() | G | 27 | 1996-05-11 | No | 214 Lbs | 6 ft6 | No | No | No | No | 1 | Pro & Farm | 2,175,000$ | 0$ | 0$ | No | Link | |||||||||
Alexander Barabanov | ![]() | LW | 28 | 1994-06-17 | No | 195 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 2,500,000$ | 0$ | 0$ | No | 2,500,000$ | Link | ||||||||
Blake Lizotte | ![]() | C | 25 | 1997-12-13 | No | 170 Lbs | 5 ft9 | No | No | No | No | 2 | Pro & Farm | 1,675,000$ | 0$ | 0$ | No | 1,675,000$ | Link | ||||||||
Brandon Montour | ![]() | D | 29 | 1994-04-11 | No | 194 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 3,500,000$ | 0$ | 0$ | No | 3,500,000$ | Link | ||||||||
Colin White | ![]() | C | 26 | 1997-01-30 | No | 194 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 1,200,000$ | 0$ | 0$ | No | Link | |||||||||
Connor Clifton | ![]() | D | 28 | 1995-04-28 | No | 189 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Link | |||||||||
Connor Ingram | ![]() | G | 26 | 1997-03-31 | No | 196 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 733,333$ | 0$ | 0$ | No | Link | |||||||||
Eric Staal | ![]() | C | 38 | 1984-10-29 | No | 195 Lbs | 6 ft4 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Evander Kane | ![]() | LW | 31 | 1991-08-02 | No | 210 Lbs | 6 ft2 | No | No | No | No | 4 | Pro & Farm | 5,125,000$ | 0$ | 0$ | No | 5,125,000$ | 5,125,000$ | 5,125,000$ | Link | ||||||
Jacob Middleton | ![]() | D | 27 | 1996-01-02 | No | 219 Lbs | 6 ft3 | No | No | No | No | 3 | Pro & Farm | 2,450,000$ | 0$ | 0$ | No | 2,450,000$ | 2,450,000$ | Link | |||||||
John Carlson | ![]() | D | 33 | 1990-01-10 | No | 215 Lbs | 6 ft3 | No | No | No | No | 4 | Pro & Farm | 8,000,000$ | 0$ | 0$ | No | 8,000,000$ | 8,000,000$ | 8,000,000$ | Link | ||||||
Jordan Greenway | ![]() | LW | 26 | 1997-02-16 | No | 231 Lbs | 6 ft6 | No | No | No | No | 3 | Pro & Farm | 3,000,000$ | 0$ | 0$ | No | 3,000,000$ | 3,000,000$ | Link | |||||||
Leon Draisaitl | ![]() | C/LW/RW | 27 | 1995-10-27 | No | 208 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 8,500,000$ | 0$ | 0$ | No | 8,500,000$ | 8,500,000$ | Link | |||||||
Logan Couture | ![]() | C | 34 | 1989-03-28 | No | 206 Lbs | 6 ft1 | No | No | No | No | 5 | Pro & Farm | 8,000,000$ | 0$ | 0$ | No | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | Link | |||||
Matt Grzelcyk | ![]() | D | 29 | 1994-01-05 | No | 178 Lbs | 5 ft9 | No | No | No | No | 2 | Pro & Farm | 3,687,500$ | 0$ | 0$ | No | 3,687,500$ | Link | ||||||||
Nathan MacKinnon | ![]() | C/RW | 27 | 1995-09-01 | No | 200 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 6,300,000$ | 0$ | 0$ | No | Link | |||||||||
Nikita Kucherov | ![]() | RW | 29 | 1993-06-17 | No | 183 Lbs | 5 ft11 | No | No | No | No | 5 | Pro & Farm | 9,500,000$ | 0$ | 0$ | No | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | Link | |||||
Nikolai Knyzhov | ![]() | D | 25 | 1998-03-20 | No | 218 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 850,000$ | 0$ | 0$ | No | Link | |||||||||
Oscar Klefbom | ![]() | D | 29 | 1993-07-20 | No | 216 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 4,167,000$ | 0$ | 0$ | No | Link | |||||||||
Rickard Rakell | ![]() | RW | 30 | 1993-05-05 | No | 195 Lbs | 6 ft1 | No | No | No | No | 6 | Pro & Farm | 5,000,000$ | 0$ | 0$ | No | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
20 | 28.70 | 201 Lbs | 6 ft1 | 2.45 | 3,905,642$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
78,112,833$ | 60,937,500$ | 49,575,000$ | 35,625,000$ | 22,500,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Leon Draisaitl | Nathan MacKinnon | Rickard Rakell | 40 | 0 | 1 | 4 |
2 | Evander Kane | Logan Couture | Nikita Kucherov | 35 | 0 | 2 | 3 |
3 | Jordan Greenway | Eric Staal | Blake Lizotte | 20 | 1 | 2 | 2 |
4 | Alexander Barabanov | Colin White | Blake Lizotte | 5 | 1 | 3 | 1 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | John Carlson | Brandon Montour | 40 | 0 | 3 | 2 | |
2 | Oscar Klefbom | Matt Grzelcyk | 35 | 0 | 3 | 2 | |
3 | Connor Clifton | Jacob Middleton | 25 | 1 | 3 | 1 | |
4 | Matt Grzelcyk | John Carlson | 0 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Leon Draisaitl | Nathan MacKinnon | Rickard Rakell | 60 | 0 | 1 | 4 |
2 | Evander Kane | Logan Couture | Nikita Kucherov | 40 | 0 | 1 | 4 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | John Carlson | Brandon Montour | 60 | 0 | 1 | 4 | |
2 | Oscar Klefbom | Matt Grzelcyk | 40 | 0 | 1 | 4 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Eric Staal | Alexander Barabanov | 60 | 1 | 3 | 1 |
2 | Colin White | Evander Kane | 40 | 1 | 3 | 1 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Connor Clifton | Jacob Middleton | 60 | 1 | 4 | 0 |
2 | Jacob Middleton | John Carlson | 40 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Jordan Greenway | 60 | 0 | 5 | 0 | John Carlson | Jacob Middleton | 60 | 0 | 5 | 0 |
2 | Eric Staal | 40 | 0 | 5 | 0 | Brandon Montour | Matt Grzelcyk | 40 | 0 | 5 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nathan MacKinnon | Jordan Greenway | 50 | 1 | 2 | 2 |
2 | Logan Couture | Leon Draisaitl | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | John Carlson | Oscar Klefbom | 50 | 1 | 3 | 1 |
2 | Brandon Montour | Matt Grzelcyk | 50 | 1 | 3 | 1 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Leon Draisaitl | Nathan MacKinnon | Rickard Rakell | John Carlson | Oscar Klefbom |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Leon Draisaitl | Nikita Kucherov | Nathan MacKinnon | John Carlson | Oscar Klefbom |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Alexander Barabanov, Leon Draisaitl, Nathan MacKinnon | Nikita Kucherov, Nathan MacKinnon | Evander Kane |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Oscar Klefbom, John Carlson, Matt Grzelcyk | Brandon Montour | Connor Clifton, Jacob Middleton |
Penalty Shots |
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Leon Draisaitl, Nathan MacKinnon, Jordan Greenway, Rickard Rakell, Evander Kane |
Goalie |
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#1 : Adin Hill, #2 : Connor Ingram |
Custom OT Lines Forwards |
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Leon Draisaitl, Nathan MacKinnon, Colin White, Blake Lizotte, Evander Kane, Rickard Rakell, Rickard Rakell, Jordan Greenway, Nikita Kucherov, Alexander Barabanov, John Carlson |
Custom OT Lines Defensemen |
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John Carlson, Brandon Montour, Oscar Klefbom, Matt Grzelcyk, Connor Clifton |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 | 0.00% | 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 | ||||||||
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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 |
41 | 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$ | 78,112,833$ | 78,112,833$ | 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$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 3 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 12,000,000$ | 12,000,000$ |
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 |
---|---|---|---|---|---|
Adam Ingram | ![]() | Link | |||
Danil Gushchin | ![]() | Link | |||
Gannon Laroque | ![]() | Link | |||
Joey Muldowney | ![]() | Link | |||
Michael Fisher | ![]() | Link | |||
Ozzy Wiesblatt | ![]() | Link |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
3 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
4 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
5 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
6 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Leon Draisaitl | 82 | 33 | 47 | 80 | -1 | 37 | 69 | 135 | 357 | 9.24% | 16 | 1772 | 21.62 | 6 | 17 | 23 | 69 | 0 | 0 | 0 | 0 | 5 | 1 | 57.28 | 2 | 0.90 | 3 | 5 |
2 | Nikita Kucherov | 79 | 32 | 47 | 79 | 18 | 10 | 41 | 128 | 318 | 10.06% | 3 | 1463 | 18.52 | 7 | 9 | 16 | 56 | 0 | 0 | 0 | 0 | 2 | 3 | 37.82 | 1 | 1.08 | 0 | 0 |
3 | John Carlson | 81 | 20 | 59 | 79 | 0 | 29 | 78 | 126 | 154 | 12.99% | 112 | 1852 | 22.88 | 10 | 12 | 22 | 86 | 0 | 0 | 0 | 0 | 3 | 0 | 0.00% | 0 | 0.85 | 0 | 0 |
4 | Nathan MacKinnon | 82 | 31 | 46 | 77 | -2 | 38 | 134 | 268 | 354 | 8.76% | 13 | 1821 | 22.22 | 10 | 11 | 21 | 60 | 0 | 0 | 0 | 2 | 6 | 0 | 51.72 | 0 | 0.85 | 2 | 5 |
5 | Logan Couture | 72 | 27 | 38 | 65 | 11 | 10 | 50 | 233 | 245 | 11.02% | 23 | 1475 | 20.49 | 3 | 7 | 10 | 29 | 0 | 0 | 0 | 2 | 3 | 1 | 52.46 | 1 | 0.88 | 1 | 1 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jeremy Swayman | 67 | 32 | 27 | 6 | 0.890 | 3.18 | 3844 | 2 | 1 | 204 | 1855 | 0 | 2 | 0 | 0.813 | 16 |
2 | Adin Hill | 22 | 8 | 8 | 1 | 0.894 | 2.67 | 1125 | 0 | 0 | 50 | 471 | 0 | 0 | 0 | 0.00% | 0 |
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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 | 82 | 31 | 35 | 0 | 5 | 6 | 4 | 1 | 261 | 255 | 6 | 41 | 14 | 20 | 0 | 1 | 3 | 2 | 1 | 127 | 130 | -3 | 41 | 17 | 15 | 0 | 4 | 3 | 2 | 0 | 134 | 125 | 9 | 87 | 261 | 465 | 726 | 0 | 1 | 97 | 90 | 65 | 12 | 2621 | 833 | 907 | 834 | 62 | 2326 | 666 | 630 | 1831 | 268 | 60 | 22.39% | 250 | 57 | 77.20% | 1 | 1562 | 3000 | 52.07% | 1374 | 2721 | 50.50% | 663 | 1294 | 51.24% | 2021 | 1428 | 1926 | 581 | 1026 | 515 |
Total Regular Season | 82 | 31 | 35 | 0 | 5 | 6 | 4 | 1 | 261 | 255 | 6 | 41 | 14 | 20 | 0 | 1 | 3 | 2 | 1 | 127 | 130 | -3 | 41 | 17 | 15 | 0 | 4 | 3 | 2 | 0 | 134 | 125 | 9 | 87 | 261 | 465 | 726 | 0 | 1 | 97 | 90 | 65 | 12 | 2621 | 833 | 907 | 834 | 62 | 2326 | 666 | 630 | 1831 | 268 | 60 | 22.39% | 250 | 57 | 77.20% | 1 | 1562 | 3000 | 52.07% | 1374 | 2721 | 50.50% | 663 | 1294 | 51.24% | 2021 | 1428 | 1926 | 581 | 1026 | 515 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Playoff | 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 | 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 |
# | 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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