Wilkes-Barre/Scranton Penguins | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Marc Antoine Plante | Morale : 9 | Team Overall : 61 |
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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 Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Lauri Pajuniemi (R) | 0 | X | X | 100.00 | 66 | 55 | 77 | 64 | 76 | 84 | 82 | 62 | 62 | 62 | 63 | 63 | 60 | 64 | 57 | 73 | 49 | 63 | 0 | 24 | 3 | 775,000$ | |||
2 | Reese Johnson | 0 | X | X | 100.00 | 90 | 56 | 78 | 60 | 76 | 77 | 79 | 58 | 81 | 60 | 65 | 70 | 58 | 68 | 66 | 60 | 18 | 63 | 0 | 25 | 1 | 750,000$ | |||
3 | Givani Smith | 0 | X | X | 100.00 | 77 | 83 | 67 | 60 | 88 | 74 | 79 | 63 | 57 | 61 | 61 | 62 | 60 | 67 | 62 | 81 | 56 | 62 | 2 | 26 | 1 | 1,000,000$ | |||
4 | Brett Leason | 0 | X | X | 100.00 | 74 | 46 | 92 | 63 | 96 | 84 | 83 | 63 | 50 | 57 | 61 | 54 | 54 | 68 | 68 | 63 | 21 | 62 | 2 | 24 | 3 | 1,000,000$ | |||
5 | Ivan Miroshnichenk (R) | 0 | X | X | 100.00 | 77 | 55 | 67 | 71 | 78 | 75 | 74 | 65 | 50 | 60 | 60 | 61 | 62 | 51 | 51 | 89 | 24 | 61 | 2 | 20 | 3 | 925,000$ | |||
6 | Daniel Walcott | 0 | X | X | 100.00 | 64 | 64 | 58 | 60 | 78 | 84 | 77 | 58 | 61 | 57 | 57 | 63 | 57 | 72 | 72 | 43 | 43 | 61 | 0 | 30 | 2 | 800,000$ | |||
7 | Benoit Olivier Groulx | 0 | X | 100.00 | 70 | 42 | 83 | 61 | 84 | 88 | 83 | 56 | 80 | 56 | 58 | 59 | 65 | 68 | 67 | 70 | 42 | 61 | 0 | 24 | 2 | 950,000$ | ||||
8 | Josh Dickinson | 0 | X | X | 100.00 | 62 | 42 | 89 | 58 | 78 | 77 | 72 | 58 | 65 | 57 | 62 | 58 | 57 | 67 | 64 | 61 | 50 | 60 | 0 | 26 | 1 | 950,000$ | |||
9 | Mathias Emilio Pettersen (R) | 0 | X | 100.00 | 67 | 45 | 78 | 63 | 62 | 77 | 76 | 56 | 60 | 56 | 57 | 60 | 60 | 62 | 62 | 75 | 46 | 59 | 0 | 24 | 3 | 900,000$ | ||||
10 | Matthew Strome | 0 | X | 100.00 | 76 | 44 | 90 | 63 | 91 | 73 | 72 | 53 | 51 | 53 | 55 | 57 | 56 | 66 | 67 | 68 | 44 | 59 | 2 | 25 | 2 | 850,000$ | ||||
11 | Blake McLaughlin (R) | 0 | X | 100.00 | 64 | 55 | 79 | 62 | 69 | 72 | 75 | 58 | 30 | 53 | 58 | 53 | 52 | 58 | 59 | 74 | 45 | 57 | 2 | 24 | 1 | 833,000$ | ||||
12 | Chaz Lucius (R) | 0 | X | 100.00 | 64 | 39 | 80 | 62 | 79 | 77 | 61 | 57 | 62 | 56 | 55 | 54 | 60 | 58 | 43 | 87 | 28 | 57 | 2 | 20 | 2 | 925,000$ | ||||
13 | Nikita Pavlychev | 0 | X | 100.00 | 70 | 45 | 61 | 55 | 60 | 72 | 78 | 53 | 55 | 56 | 58 | 54 | 44 | 63 | 63 | 41 | 36 | 56 | 0 | 27 | 1 | 750,000$ | ||||
14 | Patrick Guay (R) | 0 | X | X | 100.00 | 54 | 45 | 61 | 56 | 68 | 68 | 70 | 54 | 55 | 51 | 49 | 53 | 50 | 51 | 56 | 59 | 22 | 53 | 0 | 21 | 1 | 725,000$ | |||
15 | Madison Bowey | 0 | X | 100.00 | 72 | 42 | 80 | 67 | 82 | 85 | 80 | 64 | 30 | 67 | 57 | 58 | 53 | 75 | 70 | 65 | 22 | 65 | 2 | 29 | 2 | 850,000$ | ||||
16 | Brady Lyle | 0 | X | 100.00 | 77 | 60 | 69 | 62 | 82 | 77 | 70 | 64 | 30 | 57 | 53 | 62 | 60 | 65 | 65 | 72 | 51 | 63 | 0 | 24 | 2 | 950,000$ | ||||
17 | Colton Poolman | 0 | X | 100.00 | 63 | 45 | 68 | 61 | 75 | 75 | 77 | 60 | 30 | 55 | 59 | 63 | 60 | 59 | 58 | 74 | 28 | 61 | 0 | 28 | 2 | 1,000,000$ | ||||
18 | Stanislav Svozil (R) | 0 | X | 100.00 | 76 | 45 | 67 | 64 | 69 | 72 | 77 | 60 | 30 | 60 | 56 | 59 | 56 | 57 | 57 | 76 | 47 | 61 | 2 | 21 | 3 | 833,000$ | ||||
19 | Brian Lashoff | 0 | X | 100.00 | 64 | 47 | 90 | 59 | 86 | 81 | 82 | 56 | 30 | 55 | 57 | 56 | 52 | 82 | 72 | 41 | 19 | 61 | 0 | 33 | 1 | 950,000$ | ||||
20 | Reilly Walsh (R) | 0 | X | 100.00 | 57 | 55 | 62 | 61 | 73 | 70 | 75 | 59 | 30 | 66 | 54 | 63 | 55 | 66 | 66 | 72 | 35 | 61 | 0 | 25 | 1 | 750,000$ | ||||
21 | Artemi Kniazev | 0 | X | 100.00 | 60 | 35 | 61 | 62 | 69 | 79 | 83 | 52 | 30 | 56 | 56 | 61 | 60 | 63 | 43 | 74 | 26 | 59 | 2 | 23 | 1 | 789,167$ | ||||
Scratches | ||||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 69 | 50 | 74 | 62 | 77 | 77 | 76 | 59 | 49 | 58 | 58 | 59 | 57 | 64 | 61 | 68 | 36 | 60 |
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 | Jean Francois Berube | 1 | 100.00 | 73 | 72 | 74 | 73 | 70 | 73 | 74 | 72 | 71 | 70 | 71 | 70 | 63 | 55 | 69 | 70 | 0 | 32 | 1 | 1,100,000$ | |
2 | Dylan Garand (R) | 0 | 100.00 | 71 | 77 | 74 | 74 | 71 | 71 | 70 | 70 | 71 | 74 | 71 | 61 | 65 | 77 | 56 | 69 | 1 | 21 | 2 | 750,000$ | |
Scratches | ||||||||||||||||||||||||
1 | Leevi Merilainen (R) | 0 | 100.00 | 70 | 70 | 70 | 76 | 70 | 68 | 66 | 62 | 67 | 62 | 60 | 55 | 50 | 80 | 20 | 64 | 2 | 21 | 3 | 833,000$ | |
TEAM AVERAGE | 100.00 | 71 | 73 | 73 | 74 | 70 | 71 | 70 | 68 | 70 | 69 | 67 | 62 | 59 | 71 | 48 | 68 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Stevens | 67 | 73 | 70 | 72 | 85 | 79 | 62 | CAN | 57 | 1 | 2,000,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contrat Signature Date | Type | Current Salary | Salary Remaining | Salary Average | Salary Ave Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
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Artemi Kniazev | Wilkes-Barre/Scranton Penguins (PIT) | D | 23 | 2001-01-04 15:49:39 | No | 178 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 789,167$ | 732,798$ | 789,167$ | 732,798$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Benoit Olivier Groulx | Wilkes-Barre/Scranton Penguins (PIT) | C | 24 | 2000-02-06 04:33:06 | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 950,000$ | 882,143$ | 950,000$ | 882,143$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Blake McLaughlin | Wilkes-Barre/Scranton Penguins (PIT) | LW | 24 | 2000-02-14 07:32:27 | Yes | 162 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 833,000$ | 773,500$ | 833,000$ | 773,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Brady Lyle | Wilkes-Barre/Scranton Penguins (PIT) | D | 24 | 1999-06-06 17:05:59 | No | 202 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 950,000$ | 882,143$ | 950,000$ | 882,143$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Brett Leason | Wilkes-Barre/Scranton Penguins (PIT) | LW/RW | 24 | 1999-04-30 | No | 215 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | Pro & Farm | 1,000,000$ | 928,571$ | 1,000,000$ | 928,571$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Brian Lashoff | Wilkes-Barre/Scranton Penguins (PIT) | D | 33 | 1990-07-16 | No | 213 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Farm Only | 950,000$ | 882,143$ | 950,000$ | 882,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Chaz Lucius | Wilkes-Barre/Scranton Penguins (PIT) | C | 20 | 2003-05-02 09:07:27 | Yes | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 858,929$ | 925,000$ | 858,929$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Colton Poolman | Wilkes-Barre/Scranton Penguins (PIT) | D | 28 | 1995-12-18 10:31:40 | No | 200 Lbs | 6 ft10 | No | No | N/A | No | No | 2 | Farm Only | 1,000,000$ | 928,571$ | 1,000,000$ | 928,571$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Daniel Walcott | Wilkes-Barre/Scranton Penguins (PIT) | LW/RW | 30 | 1994-02-19 | No | 175 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 800,000$ | 742,857$ | 800,000$ | 742,857$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Dylan Garand | Wilkes-Barre/Scranton Penguins (PIT) | G | 21 | 2002-06-07 04:27:07 | Yes | 177 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 750,000$ | 696,429$ | 750,000$ | 696,429$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Givani Smith | Wilkes-Barre/Scranton Penguins (PIT) | LW/RW | 26 | 1998-02-02 03:27:31 | No | 214 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 1,000,000$ | 928,571$ | 1,000,000$ | 928,571$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ivan Miroshnichenk | Wilkes-Barre/Scranton Penguins (PIT) | LW/RW | 20 | 2004-02-04 01:59:01 | Yes | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 925,000$ | 858,929$ | 925,000$ | 858,929$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Jean Francois Berube | Wilkes-Barre/Scranton Penguins (PIT) | G | 32 | 1991-07-13 | No | 176 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 1,100,000$ | 1,021,429$ | 1,100,000$ | 1,021,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Josh Dickinson | Wilkes-Barre/Scranton Penguins (PIT) | C/RW | 26 | 1997-11-17 | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 950,000$ | 882,143$ | 950,000$ | 882,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Lauri Pajuniemi | Wilkes-Barre/Scranton Penguins (PIT) | C/RW | 24 | 1999-09-12 15:52:08 | Yes | 196 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | Pro & Farm | 775,000$ | 719,643$ | 775,000$ | 719,643$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Leevi Merilainen | Wilkes-Barre/Scranton Penguins (PIT) | G | 21 | 2002-08-13 02:13:37 | Yes | 178 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | Pro & Farm | 833,000$ | 773,500$ | 833,000$ | 773,500$ | 0$ | 0$ | No | 833,000$ | 833,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Madison Bowey | Wilkes-Barre/Scranton Penguins (PIT) | D | 29 | 1995-04-22 | No | 202 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Farm Only | 850,000$ | 789,286$ | 850,000$ | 789,286$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Mathias Emilio Pettersen | Wilkes-Barre/Scranton Penguins (PIT) | C | 24 | 2000-04-03 03:50:29 | Yes | 170 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | Pro & Farm | 900,000$ | 835,714$ | 900,000$ | 835,714$ | 0$ | 0$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Matthew Strome | Wilkes-Barre/Scranton Penguins (PIT) | LW | 25 | 1999-01-06 | No | 206 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | Pro & Farm | 850,000$ | 789,286$ | 850,000$ | 789,286$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Nikita Pavlychev | Wilkes-Barre/Scranton Penguins (PIT) | C | 27 | 1997-03-23 04:39:47 | No | 211 Lbs | 6 ft7 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 696,429$ | 750,000$ | 696,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Patrick Guay | Wilkes-Barre/Scranton Penguins (PIT) | C/LW | 21 | 2002-04-28 15:12:35 | Yes | 178 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | Pro & Farm | 725,000$ | 673,214$ | 725,000$ | 673,214$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Reese Johnson | Wilkes-Barre/Scranton Penguins (PIT) | C/RW | 25 | 1998-07-10 | No | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 696,429$ | 750,000$ | 696,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Reilly Walsh | Wilkes-Barre/Scranton Penguins (PIT) | D | 25 | 1999-04-21 04:25:26 | Yes | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 696,429$ | 750,000$ | 696,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Stanislav Svozil | Wilkes-Barre/Scranton Penguins (PIT) | D | 21 | 2003-01-17 02:15:59 | Yes | 167 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | Pro & Farm | 833,000$ | 773,500$ | 833,000$ | 773,500$ | 0$ | 0$ | No | 833,000$ | 833,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
24 | 24.88 | 190 Lbs | 6 ft2 | 1.83 | 872,424$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Brett Leason | Lauri Pajuniemi | Nikita Pavlychev | 30 | 1 | 2 | 2 |
2 | Ivan Miroshnichenk | Givani Smith | Daniel Walcott | 30 | 1 | 2 | 2 |
3 | Matthew Strome | Josh Dickinson | Mathias Emilio Pettersen | 20 | 1 | 2 | 2 |
4 | Blake McLaughlin | Mathias Emilio Pettersen | Lauri Pajuniemi | 20 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Artemi Kniazev | Reilly Walsh | 30 | 1 | 2 | 2 | |
2 | Madison Bowey | Brady Lyle | 30 | 1 | 2 | 2 | |
3 | Stanislav Svozil | Colton Poolman | 20 | 1 | 2 | 2 | |
4 | Brady Lyle | Madison Bowey | 20 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Josh Dickinson | Lauri Pajuniemi | Brett Leason | 60 | 1 | 2 | 2 |
2 | Nikita Pavlychev | Givani Smith | Daniel Walcott | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Stanislav Svozil | Colton Poolman | 60 | 1 | 2 | 2 | |
2 | Brady Lyle | Madison Bowey | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nikita Pavlychev | Josh Dickinson | 60 | 1 | 2 | 2 |
2 | Lauri Pajuniemi | Givani Smith | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Colton Poolman | Stanislav Svozil | 60 | 1 | 2 | 2 |
2 | Madison Bowey | Brady Lyle | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Lauri Pajuniemi | 60 | 1 | 2 | 2 | Madison Bowey | Stanislav Svozil | 60 | 1 | 2 | 2 |
2 | Josh Dickinson | 40 | 1 | 2 | 2 | Colton Poolman | Brady Lyle | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Josh Dickinson | Daniel Walcott | 60 | 1 | 2 | 2 |
2 | Lauri Pajuniemi | Nikita Pavlychev | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Madison Bowey | Colton Poolman | 60 | 1 | 2 | 2 |
2 | Stanislav Svozil | Brady Lyle | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Brett Leason | Lauri Pajuniemi | Givani Smith | Brady Lyle | Madison Bowey |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Brett Leason | Lauri Pajuniemi | Givani Smith | Brady Lyle | Madison Bowey |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Nikita Pavlychev, Lauri Pajuniemi, Josh Dickinson | Nikita Pavlychev, Lauri Pajuniemi | Josh Dickinson |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Stanislav Svozil, Colton Poolman , Brady Lyle | Stanislav Svozil | Colton Poolman , Stanislav Svozil |
Penalty Shots |
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Nikita Pavlychev, Josh Dickinson, Lauri Pajuniemi, Givani Smith , Daniel Walcott |
Goalie |
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#1 : Jean Francois Berube, #2 : Dylan Garand |
Custom OT Lines Forwards |
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Brett Leason, Blake McLaughlin, Lauri Pajuniemi, Givani Smith , Ivan Miroshnichenk, Daniel Walcott, Daniel Walcott, Josh Dickinson, Matthew Strome, Mathias Emilio Pettersen, Nikita Pavlychev |
Custom OT Lines Defensemen |
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Colton Poolman , Brady Lyle, Madison Bowey, Reilly Walsh, Stanislav Svozil |
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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 0% | 0% |
Attendance PCT | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
38 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 2,093,817$ | 2,093,817$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 13 | 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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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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