![]() | Wild |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Phil Gaboury | Morale : 40 | Team Overall : 71 |
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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 | Artemi Panarin | X | 100.00 | 56 | 34 | 94 | 84 | 69 | 90 | 93 | 91 | 58 | 95 | 77 | 62 | 86 | 75 | 74 | 36 | 40 | 76 | 0 | 31 | 4 | 11,642,857$ | ||||
2 | Chris Kreider | X | 100.00 | 78 | 34 | 86 | 82 | 88 | 89 | 86 | 78 | 63 | 71 | 89 | 74 | 83 | 78 | 79 | 64 | 40 | 76 | 0 | 32 | 5 | 6,500,000$ | ||||
3 | Mark Stone | X | 100.00 | 65 | 43 | 88 | 75 | 85 | 89 | 84 | 78 | 61 | 85 | 77 | 82 | 76 | 74 | 90 | 39 | 40 | 76 | 0 | 31 | 5 | 9,500,000$ | ||||
4 | Marcus Foligno | X | X | 100.00 | 90 | 79 | 64 | 72 | 89 | 82 | 87 | 70 | 63 | 71 | 74 | 76 | 67 | 78 | 75 | 51 | 43 | 72 | 0 | 31 | 2 | 3,100,000$ | |||
5 | Colton Sissons | X | X | 100.00 | 81 | 35 | 89 | 67 | 77 | 86 | 90 | 66 | 88 | 68 | 63 | 87 | 65 | 72 | 69 | 58 | 40 | 70 | 0 | 29 | 4 | 2,857,143$ | |||
6 | Sean Kuraly | X | 100.00 | 85 | 39 | 79 | 64 | 81 | 85 | 88 | 65 | 84 | 67 | 66 | 86 | 63 | 71 | 69 | 47 | 40 | 70 | 0 | 30 | 3 | 2,500,000$ | ||||
7 | Mattias Janmark | X | X | X | 100.00 | 55 | 39 | 89 | 74 | 78 | 82 | 87 | 69 | 55 | 70 | 63 | 79 | 66 | 74 | 72 | 50 | 40 | 69 | 0 | 30 | 1 | 1,250,000$ | ||
8 | Parker Kelly | X | X | 100.00 | 83 | 41 | 69 | 66 | 72 | 79 | 88 | 64 | 59 | 62 | 68 | 71 | 64 | 63 | 65 | 53 | 90 | 67 | 0 | 24 | 2 | 762,500$ | |||
9 | Ryan Lomberg | X | 100.00 | 86 | 78 | 56 | 69 | 67 | 77 | 83 | 64 | 58 | 62 | 66 | 68 | 63 | 67 | 69 | 36 | 43 | 65 | 0 | 28 | 2 | 800,000$ | ||||
10 | Kody Clark | X | 100.00 | 66 | 37 | 78 | 58 | 81 | 79 | 82 | 56 | 55 | 57 | 59 | 54 | 62 | 65 | 67 | 72 | 43 | 60 | 0 | 23 | 1 | 808,333$ | ||||
11 | Cameron Hillis | X | 100.00 | 55 | 36 | 86 | 56 | 64 | 73 | 66 | 57 | 75 | 58 | 59 | 55 | 57 | 63 | 64 | 67 | 54 | 58 | 0 | 22 | 1 | 838,333$ | ||||
12 | Darnell Nurse | X | 100.00 | 79 | 82 | 68 | 75 | 91 | 94 | 86 | 72 | 30 | 78 | 76 | 88 | 59 | 70 | 68 | 74 | 40 | 77 | 0 | 28 | 8 | 9,250,000$ | ||||
13 | Tyler Myers | X | 100.00 | 79 | 72 | 74 | 65 | 99 | 95 | 87 | 61 | 30 | 74 | 59 | 86 | 45 | 82 | 73 | 52 | 43 | 75 | 0 | 33 | 2 | 6,000,000$ | ||||
14 | Ben Chiarot | X | 100.00 | 82 | 79 | 74 | 66 | 90 | 93 | 88 | 64 | 30 | 73 | 65 | 81 | 52 | 74 | 72 | 46 | 40 | 73 | 0 | 32 | 4 | 4,750,000$ | ||||
15 | Nikita Zaitsev | X | 100.00 | 82 | 36 | 88 | 65 | 79 | 91 | 93 | 63 | 30 | 72 | 59 | 86 | 52 | 73 | 72 | 34 | 40 | 73 | 0 | 31 | 2 | 4,500,000$ | ||||
16 | Jacob Larsson | X | 100.00 | 66 | 39 | 85 | 67 | 78 | 84 | 86 | 63 | 30 | 68 | 59 | 74 | 50 | 65 | 67 | 77 | 50 | 68 | 0 | 26 | 1 | 750,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Matt Duchene | X | 100.00 | 63 | 34 | 87 | 82 | 71 | 89 | 88 | 79 | 85 | 77 | 83 | 61 | 82 | 83 | 74 | 69 | 40 | 74 | 0 | 32 | 4 | 8,000,000$ | ||||
2 | Radek Faksa | X | 100.00 | 72 | 47 | 81 | 62 | 88 | 84 | 90 | 64 | 86 | 63 | 58 | 85 | 61 | 73 | 70 | 69 | 40 | 68 | 0 | 29 | 3 | 3,250,000$ | ||||
3 | Danila Klimovich | X | 100.00 | 62 | 34 | 83 | 58 | 81 | 79 | 85 | 59 | 52 | 58 | 57 | 56 | 61 | 60 | 62 | 76 | 43 | 60 | 0 | 20 | 3 | 855,833$ | ||||
4 | Connor Murphy | X | 100.00 | 79 | 38 | 82 | 67 | 89 | 94 | 86 | 65 | 30 | 71 | 63 | 90 | 52 | 74 | 75 | 66 | 40 | 75 | 0 | 30 | 4 | 4,400,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Axel Jonsson-Fjallby | X | 100.00 | 64 | 37 | 91 | 65 | 75 | 83 | 87 | 61 | 58 | 60 | 62 | 61 | 67 | 65 | 66 | 58 | 67 | 63 | 0 | 25 | 1 | 750,000$ | ||||
2 | Semyon Der-Arguchintsev | X | 100.00 | 56 | 36 | 89 | 64 | 68 | 77 | 79 | 64 | 70 | 62 | 59 | 57 | 64 | 62 | 65 | 66 | 50 | 61 | 0 | 22 | 1 | 766,667$ | ||||
3 | Jakub Lauko | X | X | 100.00 | 59 | 34 | 71 | 59 | 68 | 84 | 80 | 59 | 63 | 61 | 56 | 55 | 60 | 62 | 64 | 66 | 81 | 60 | 0 | 23 | 1 | 764,167$ | |||
4 | Dillon Hamaliuk | X | 100.00 | 72 | 39 | 74 | 53 | 81 | 67 | 72 | 54 | 51 | 55 | 56 | 57 | 53 | 62 | 64 | 71 | 52 | 58 | 0 | 22 | 2 | 789,167$ | ||||
5 | Dysin Mayo | X | 100.00 | 73 | 39 | 78 | 65 | 77 | 88 | 90 | 64 | 30 | 63 | 58 | 73 | 53 | 66 | 68 | 55 | 72 | 69 | 0 | 26 | 3 | 950,000$ | ||||
6 | Gabriel Carlsson | X | 100.00 | 74 | 38 | 94 | 63 | 88 | 79 | 74 | 62 | 30 | 71 | 60 | 67 | 52 | 65 | 67 | 76 | 46 | 67 | 0 | 26 | 1 | 750,000$ | ||||
7 | Nicolas Meloche | X | 100.00 | 86 | 43 | 75 | 63 | 86 | 82 | 85 | 62 | 30 | 64 | 59 | 67 | 50 | 65 | 66 | 72 | 49 | 67 | 0 | 25 | 1 | 950,000$ | ||||
8 | Wyatt Kalynuk | X | 100.00 | 69 | 39 | 88 | 67 | 73 | 83 | 81 | 68 | 30 | 69 | 67 | 66 | 56 | 65 | 67 | 47 | 64 | 67 | 0 | 26 | 1 | 750,000$ | ||||
9 | Daniil Miromanov | X | 100.00 | 73 | 39 | 82 | 68 | 87 | 79 | 85 | 67 | 30 | 66 | 58 | 63 | 52 | 65 | 67 | 54 | 66 | 67 | 0 | 25 | 1 | 762,500$ | ||||
10 | Dylan Coghlan | X | 100.00 | 65 | 36 | 93 | 66 | 82 | 86 | 85 | 65 | 30 | 70 | 62 | 59 | 54 | 63 | 65 | 53 | 40 | 66 | 0 | 25 | 1 | 762,500$ | ||||
11 | Sebastien Aho | X | 100.00 | 62 | 34 | 85 | 75 | 69 | 86 | 77 | 70 | 30 | 73 | 63 | 60 | 54 | 65 | 66 | 54 | 43 | 66 | 0 | 27 | 2 | 825,000$ | ||||
12 | Yan Kuznetsov | X | 100.00 | 79 | 34 | 77 | 56 | 88 | 62 | 60 | 53 | 30 | 52 | 50 | 58 | 45 | 60 | 62 | 73 | 43 | 59 | 0 | 21 | 1 | 870,000$ | ||||
TEAM AVERAGE | 100.00 | 72 | 44 | 81 | 67 | 80 | 83 | 84 | 66 | 50 | 68 | 64 | 70 | 60 | 69 | 69 | 59 | 49 | 68 |
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 | Anthony Stolarz | 100.00 | 86 | 77 | 72 | 98 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 68 | 81 | 61 | 40 | 82 | 0 | 29 | 1 | 950,000$ | |
2 | Filip Gustavsson | 100.00 | 77 | 86 | 84 | 78 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 64 | 71 | 68 | 40 | 75 | 0 | 24 | 1 | 787,500$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Olivier Rodrigue | 100.00 | 69 | 67 | 69 | 70 | 68 | 67 | 69 | 68 | 67 | 69 | 68 | 62 | 67 | 68 | 63 | 66 | 0 | 22 | 1 | 795,000$ | |
TEAM AVERAGE | 100.00 | 77 | 77 | 75 | 82 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 65 | 73 | 66 | 48 | 74 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Tortorella | 76 | 82 | 72 | 83 | 95 | 89 | 49 | USA | 64 | 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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Anthony Stolarz | ![]() | G | 29 | 1994-01-20 | No | 243 Lbs | 6 ft6 | No | No | No | No | 1 | Pro & Farm | 950,000$ | 0$ | 0$ | No | Link | |||||||||
Artemi Panarin | ![]() | LW | 31 | 1991-10-30 | No | 175 Lbs | 6 ft0 | No | No | No | No | 4 | Pro & Farm | 11,642,857$ | 0$ | 0$ | No | 11,642,857$ | 11,642,857$ | 11,642,857$ | Link | ||||||
Ben Chiarot | ![]() | D | 32 | 1991-05-09 | No | 234 Lbs | 6 ft3 | No | No | No | No | 4 | Pro & Farm | 4,750,000$ | 0$ | 0$ | No | 4,750,000$ | 4,750,000$ | 4,750,000$ | Link | ||||||
Cameron Hillis | ![]() | C | 22 | 2000-06-24 | No | 175 Lbs | 5 ft9 | No | No | No | No | 1 | Pro & Farm | 838,333$ | 0$ | 0$ | No | Link | |||||||||
Chris Kreider | ![]() | LW | 32 | 1991-04-30 | No | 223 Lbs | 6 ft3 | No | No | No | No | 5 | Pro & Farm | 6,500,000$ | 0$ | 0$ | No | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | Link | |||||
Colton Sissons | ![]() | C/RW | 29 | 1993-11-05 | No | 200 Lbs | 6 ft1 | No | No | No | No | 4 | Pro & Farm | 2,857,143$ | 0$ | 0$ | No | 2,857,143$ | 2,857,143$ | 2,857,143$ | Link | ||||||
Connor Murphy | ![]() | D | 30 | 1993-03-26 | No | 212 Lbs | 6 ft4 | No | No | No | No | 4 | Pro & Farm | 4,400,000$ | 0$ | 0$ | No | 4,400,000$ | 4,400,000$ | 4,400,000$ | Link | ||||||
Danila Klimovich | ![]() | RW | 20 | 2003-01-09 | No | 202 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 855,833$ | 0$ | 0$ | No | 855,833$ | 855,833$ | Link | |||||||
Darnell Nurse | ![]() | D | 28 | 1995-02-04 | No | 221 Lbs | 6 ft4 | No | No | No | No | 8 | Pro & Farm | 9,250,000$ | 0$ | 0$ | No | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | Link | ||
Filip Gustavsson | ![]() | G | 24 | 1998-06-07 | No | 184 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 787,500$ | 0$ | 0$ | No | Link | |||||||||
Jacob Larsson | ![]() | D | 26 | 1997-04-29 | No | 190 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Kody Clark | ![]() | RW | 23 | 1999-10-13 | No | 185 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 808,333$ | 0$ | 0$ | No | Link | |||||||||
Marcus Foligno | ![]() | LW/RW | 31 | 1991-08-10 | No | 226 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 3,100,000$ | 0$ | 0$ | No | 3,100,000$ | Link | ||||||||
Mark Stone | ![]() | RW | 31 | 1992-05-13 | No | 209 Lbs | 6 ft3 | 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 | |||||
Matt Duchene | ![]() | C | 32 | 1991-01-16 | No | 195 Lbs | 5 ft11 | No | No | No | No | 4 | Pro & Farm | 8,000,000$ | 0$ | 0$ | No | 8,000,000$ | 8,000,000$ | 8,000,000$ | Link | ||||||
Mattias Janmark | ![]() | C/LW/RW | 30 | 1992-12-08 | No | 205 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 1,250,000$ | 0$ | 0$ | No | Link | |||||||||
Nikita Zaitsev | ![]() | D | 31 | 1991-10-29 | No | 195 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 4,500,000$ | 0$ | 0$ | No | 4,500,000$ | Link | ||||||||
Parker Kelly | ![]() | C/RW | 24 | 1999-05-14 | No | 188 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 762,500$ | 0$ | 0$ | No | 762,500$ | Link | ||||||||
Radek Faksa | ![]() | C | 29 | 1994-01-09 | No | 220 Lbs | 6 ft3 | No | No | No | No | 3 | Pro & Farm | 3,250,000$ | 0$ | 0$ | No | 3,250,000$ | 3,250,000$ | Link | |||||||
Ryan Lomberg | ![]() | LW | 28 | 1994-12-09 | No | 187 Lbs | 5 ft9 | No | No | No | No | 2 | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | Link | ||||||||
Sean Kuraly | ![]() | C | 30 | 1993-01-20 | No | 205 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 2,500,000$ | 0$ | 0$ | No | 2,500,000$ | 2,500,000$ | Link | |||||||
Tyler Myers | ![]() | D | 33 | 1990-02-01 | No | 229 Lbs | 6 ft8 | No | No | No | No | 2 | Pro & Farm | 6,000,000$ | 0$ | 0$ | No | 6,000,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 28.41 | 205 Lbs | 6 ft2 | 2.86 | 3,820,568$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
84,052,499$ | 78,668,333$ | 63,505,833$ | 56,900,000$ | 25,250,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Chris Kreider | Mark Stone | 40 | 1 | 1 | 3 | |
2 | Artemi Panarin | Colton Sissons | Marcus Foligno | 30 | 1 | 2 | 2 |
3 | Marcus Foligno | Sean Kuraly | Mattias Janmark | 20 | 1 | 3 | 1 |
4 | Ryan Lomberg | Cameron Hillis | Parker Kelly | 10 | 3 | 1 | 1 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Darnell Nurse | Nikita Zaitsev | 40 | 1 | 2 | 2 | |
2 | Tyler Myers | 30 | 1 | 2 | 2 | ||
3 | Ben Chiarot | Nikita Zaitsev | 20 | 1 | 2 | 2 | |
4 | Jacob Larsson | Darnell Nurse | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Artemi Panarin | Mark Stone | 60 | 1 | 2 | 2 | |
2 | Chris Kreider | Colton Sissons | Marcus Foligno | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Darnell Nurse | Nikita Zaitsev | 60 | 1 | 2 | 2 | |
2 | Tyler Myers | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Artemi Panarin | 60 | 1 | 2 | 2 | |
2 | Colton Sissons | Chris Kreider | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Darnell Nurse | Ben Chiarot | 60 | 1 | 2 | 2 |
2 | Tyler Myers | 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 | Darnell Nurse | Ben Chiarot | 60 | 1 | 2 | 2 | |
2 | Colton Sissons | 40 | 1 | 2 | 2 | Tyler Myers | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Artemi Panarin | 60 | 1 | 2 | 2 | |
2 | Colton Sissons | Chris Kreider | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Darnell Nurse | Nikita Zaitsev | 60 | 1 | 2 | 2 |
2 | Tyler Myers | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Artemi Panarin | Mark Stone | Darnell Nurse | Tyler Myers |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Artemi Panarin | Mark Stone | Darnell Nurse | Tyler Myers |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Marcus Foligno, Colton Sissons, Sean Kuraly | Marcus Foligno, Colton Sissons | Marcus Foligno |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Ben Chiarot, Nikita Zaitsev, Jacob Larsson | Ben Chiarot | Ben Chiarot, Nikita Zaitsev |
Penalty Shots |
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Mark Stone, Artemi Panarin, Chris Kreider, , Marcus Foligno |
Goalie |
---|
#1 : Filip Gustavsson, #2 : Anthony Stolarz |
Custom OT Lines Forwards |
---|
Mark Stone, Artemi Panarin, Chris Kreider, , Marcus Foligno, Colton Sissons, Colton Sissons, Sean Kuraly, Mattias Janmark, Parker Kelly, Ryan Lomberg |
Custom OT Lines Defensemen |
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Darnell Nurse, Nikita Zaitsev, , Tyler Myers, Ben Chiarot |
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 | ||||||||||||
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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 | ||||||||
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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$ | 84,052,499$ | 84,052,499$ | 0$ | -2,575,000$ |
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 |
---|---|---|---|---|---|
Cole Guttman | ![]() | Link | |||
George Fegaras | ![]() | Link | |||
Jani Nyman | ![]() | ||||
Patrick Moynihan | ![]() | Link | |||
Tucker Robertson | ![]() | Link | |||
Vinzenz Rohrer | ![]() | 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 | Chris Kreider | 82 | 40 | 46 | 86 | 17 | 52 | 186 | 111 | 349 | 11.46% | 9 | 1607 | 19.61 | 5 | 11 | 16 | 64 | 0 | 0 | 0 | 9 | 4 | 1 | 41.30 | 0 | 1.07 | 1 | 2 |
2 | Mark Stone | 82 | 38 | 38 | 76 | 25 | 20 | 98 | 139 | 293 | 12.97% | 13 | 1545 | 18.85 | 7 | 2 | 9 | 41 | 0 | 0 | 0 | 0 | 6 | 2 | 45.16 | 1 | 0.98 | 0 | 2 |
3 | Matt Duchene | 74 | 28 | 40 | 68 | 6 | 17 | 67 | 198 | 203 | 13.79% | 10 | 1764 | 23.84 | 2 | 9 | 11 | 27 | 1 | 0 | 1 | 9 | 4 | 0 | 52.59 | 0 | 0.77 | 1 | 2 |
4 | Artemi Panarin | 82 | 26 | 37 | 63 | -3 | 4 | 30 | 152 | 236 | 11.02% | 10 | 1769 | 21.58 | 2 | 12 | 14 | 43 | 2 | 1 | 3 | 8 | 2 | 1 | 31.25 | 1 | 0.71 | 0 | 2 |
5 | Darnell Nurse | 82 | 11 | 43 | 54 | 0 | 141 | 221 | 149 | 172 | 6.40% | 108 | 2037 | 24.84 | 7 | 10 | 17 | 87 | 0 | 1 | 1 | 5 | 1 | 1 | 0.00% | 0 | 0.53 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Filip Gustavsson | 60 | 23 | 26 | 5 | 0.879 | 3.53 | 3141 | 8 | 5 | 185 | 1534 | 0 | 1 | 2 | 0.625 | 8 |
2 | Anthony Stolarz | 38 | 12 | 16 | 0 | 0.904 | 3.01 | 1796 | 0 | 1 | 90 | 939 | 0 | 1 | 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 | 30 | 42 | 0 | 4 | 4 | 1 | 1 | 254 | 278 | -24 | 41 | 16 | 21 | 0 | 2 | 1 | 0 | 1 | 135 | 134 | 1 | 41 | 14 | 21 | 0 | 2 | 3 | 1 | 0 | 119 | 144 | -25 | 75 | 254 | 448 | 702 | 2 | 6 | 110 | 79 | 60 | 7 | 2381 | 761 | 831 | 761 | 36 | 2475 | 670 | 815 | 2038 | 259 | 44 | 16.99% | 356 | 72 | 79.78% | 3 | 1469 | 2845 | 51.63% | 1523 | 2869 | 53.08% | 651 | 1331 | 48.91% | 1989 | 1375 | 1918 | 603 | 1041 | 517 |
Total Regular Season | 82 | 30 | 42 | 0 | 4 | 4 | 1 | 1 | 254 | 278 | -24 | 41 | 16 | 21 | 0 | 2 | 1 | 0 | 1 | 135 | 134 | 1 | 41 | 14 | 21 | 0 | 2 | 3 | 1 | 0 | 119 | 144 | -25 | 75 | 254 | 448 | 702 | 2 | 6 | 110 | 79 | 60 | 7 | 2381 | 761 | 831 | 761 | 36 | 2475 | 670 | 815 | 2038 | 259 | 44 | 16.99% | 356 | 72 | 79.78% | 3 | 1469 | 2845 | 51.63% | 1523 | 2869 | 53.08% | 651 | 1331 | 48.91% | 1989 | 1375 | 1918 | 603 | 1041 | 517 |
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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