Penguins | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Zach M | Morale : 50 | Team Overall : 58 |
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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 | Jake Guentzel (A) | X | X | X | 100.00 | 61 | 46 | 83 | 87 | 54 | 82 | 80 | 87 | 48 | 80 | 84 | 62 | 79 | 73 | 69 | 0 | 50 | 75 | 0 | 29 | 2 | 9,000,000$ | ||
2 | Andre Burakovsky | X | 100.00 | 52 | 46 | 81 | 81 | 82 | 66 | 61 | 74 | 48 | 60 | 58 | 62 | 55 | 76 | 71 | 0 | 50 | 63 | 0 | 29 | 2 | 6,500,000$ | ||||
3 | Conor Sheary | X | X | 100.00 | 60 | 46 | 75 | 73 | 48 | 58 | 59 | 51 | 49 | 57 | 55 | 69 | 55 | 75 | 71 | 0 | 50 | 58 | 0 | 31 | 2 | 3,510,000$ | |||
4 | Josh Archibald | X | X | 100.00 | 57 | 47 | 53 | 53 | 48 | 46 | 45 | 51 | 46 | 46 | 48 | 51 | 48 | 65 | 62 | 0 | 50 | 49 | 0 | 31 | 2 | 600,000$ | |||
5 | Ryan Graves | X | 100.00 | 62 | 47 | 74 | 76 | 88 | 76 | 77 | 52 | 47 | 58 | 52 | 76 | 51 | 70 | 64 | 0 | 50 | 64 | 0 | 28 | 2 | 2,500,000$ | ||||
6 | Justin Schultz | X | 100.00 | 48 | 46 | 71 | 75 | 71 | 71 | 74 | 72 | 47 | 61 | 54 | 67 | 65 | 81 | 74 | 0 | 50 | 63 | 0 | 33 | 2 | 2,990,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Nathan Bastian | X | 100.00 | 76 | 56 | 64 | 67 | 82 | 53 | 55 | 51 | 49 | 53 | 53 | 64 | 52 | 61 | 60 | 0 | 50 | 58 | 0 | 26 | 0 | 0$ | ||||
2 | Joe Snively | X | X | 100.00 | 47 | 48 | 56 | 61 | 47 | 48 | 47 | 46 | 46 | 49 | 47 | 50 | 47 | 48 | 49 | 0 | 50 | 49 | 0 | 28 | 0 | 0$ | |||
3 | Ben Jones | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 25 | 0 | 0$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Filip Zadina | X | X | 100.00 | 64 | 46 | 80 | 76 | 63 | 61 | 71 | 62 | 48 | 53 | 57 | 58 | 67 | 63 | 61 | 0 | 50 | 59 | 0 | 24 | 1 | 1,250,000$ | |||
2 | Brandon Biro | X | 100.00 | 46 | 48 | 49 | 58 | 49 | 47 | 47 | 45 | 47 | 47 | 47 | 46 | 47 | 46 | 47 | 0 | 50 | 47 | 0 | 26 | 1 | 1,250,000$ | ||||
3 | Chaz Lucius (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 21 | 2 | 1,000,000$ | ||||
4 | Calen Addison (R) | X | 100.00 | 56 | 46 | 66 | 76 | 50 | 71 | 77 | 67 | 47 | 63 | 49 | 58 | 48 | 55 | 55 | 0 | 50 | 60 | 0 | 24 | 2 | 1,250,000$ | ||||
5 | Lucas Johansen | X | 100.00 | 46 | 48 | 49 | 52 | 65 | 50 | 50 | 46 | 46 | 47 | 46 | 48 | 46 | 47 | 47 | 0 | 50 | 48 | 0 | 26 | 1 | 750,000$ | ||||
6 | Adam Beckman (R) | X | 100.00 | 59 | 47 | 51 | 63 | 68 | 48 | 48 | 46 | 46 | 48 | 47 | 50 | 46 | 47 | 49 | 0 | 50 | 51 | 0 | 23 | 0 | 0$ | ||||
7 | Sheldon Rempal | X | X | 100.00 | 46 | 48 | 48 | 60 | 50 | 47 | 48 | 46 | 46 | 49 | 47 | 48 | 47 | 47 | 49 | 0 | 50 | 48 | 0 | 28 | 0 | 0$ | |||
8 | Joel Teasdale | X | 100.00 | 46 | 45 | 46 | 50 | 70 | 46 | 45 | 45 | 46 | 46 | 45 | 46 | 45 | 46 | 46 | 0 | 50 | 46 | 0 | 25 | 0 | 0$ | ||||
9 | Matthew Maggio | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 21 | 0 | 0$ | ||||
10 | Alexander Radulov | X | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 37 | 0 | 0$ | |||
11 | Dominik Bokk | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 24 | 0 | 0$ | ||||
12 | Cole Reinhardt | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 24 | 0 | 0$ | ||||
13 | Theodor Niederbach (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 22 | 0 | 0$ | ||||
14 | Kris Russell | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 37 | 0 | 0$ | ||||
15 | Nicolas Meloche | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 50 | 44 | 0 | 26 | 0 | 0$ | ||||
TEAM AVERAGE | 100.00 | 51 | 46 | 56 | 59 | 56 | 53 | 54 | 52 | 46 | 51 | 50 | 53 | 50 | 54 | 53 | 0 | 50 | 51 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | |||||||||||||||||||||||
1 | Magnus Hellberg | 100.00 | 60 | 58 | 61 | 93 | 65 | 70 | 68 | 66 | 62 | 68 | 61 | 57 | 57 | 0 | 50 | 65 | 0 | 33 | 0 | 0$ | |
2 | Juha Jatkola (R) | 100.00 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 0 | 50 | 54 | 0 | 21 | 0 | 0$ | |
3 | Taylor Gauthier | 100.00 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 0 | 50 | 54 | 0 | 23 | 0 | 0$ | |
Farm Team | |||||||||||||||||||||||
1 | Malcolm Subban | 100.00 | 63 | 56 | 56 | 79 | 62 | 68 | 67 | 66 | 61 | 69 | 59 | 60 | 59 | 0 | 50 | 63 | 0 | 30 | 0 | 0$ | |
2 | Filip Lindberg (R) | 100.00 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 0 | 50 | 54 | 0 | 25 | 0 | 0$ | |
TEAM AVERAGE | 100.00 | 58 | 56 | 56 | 67 | 58 | 61 | 60 | 59 | 58 | 60 | 57 | 56 | 56 | 0 | 50 | 58 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | 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 |
---|
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 | Contract Signature Date | Force UFA | Emergency Recall | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andre Burakovsky | Penguins | LW | 29 | 2/09/95 | No | 209 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 6,500,000$ | 0$ | 0$ | No | 6,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Ben Jones | Penguins | C | 25 | 2/26/99 | No | 187 Lbs | 6 ft0 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Conor Sheary | Penguins | LW/RW | 31 | 6/08/92 | No | 179 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,510,000$ | 0$ | 0$ | No | 3,510,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Jake Guentzel | Penguins | C/LW/RW | 29 | 10/06/94 | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 9,000,000$ | 0$ | 0$ | No | 9,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Joe Snively | Penguins | LW/RW | 28 | 1/01/96 | No | 176 Lbs | 5 ft9 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Josh Archibald | Penguins | LW/RW | 31 | 10/06/92 | No | 176 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Juha Jatkola | Penguins | G | 21 | 9/12/02 | Yes | 176 Lbs | 6 ft1 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Justin Schultz | Penguins | D | 33 | 7/06/90 | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,990,000$ | 0$ | 0$ | No | 2,990,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Magnus Hellberg | Penguins | G | 33 | 4/04/91 | No | 209 Lbs | 6 ft6 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Nathan Bastian | Penguins | RW | 26 | 12/06/97 | No | 205 Lbs | 6 ft4 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Ryan Graves | Penguins | D | 28 | 5/21/95 | No | 220 Lbs | 6 ft5 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,500,000$ | 0$ | 0$ | No | 2,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Taylor Gauthier | Penguins | G | 23 | 2/15/01 | No | 195 Lbs | 6 ft1 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
12 | 28.08 | 192 Lbs | 6 ft1 | 1.00 | 2,091,667$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
25,100,000$ | 25,100,000$ | 0$ | 0$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Jake Guentzel | Andre Burakovsky | 30 | 1 | 2 | 2 | |
2 | Josh Archibald | 25 | 1 | 2 | 2 | ||
3 | 25 | 1 | 2 | 2 | |||
4 | Conor Sheary | 20 | 2 | 3 | 0 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Justin Schultz | Ryan Graves | 35 | 1 | 2 | 2 | |
2 | 30 | 0 | 3 | 2 | |||
3 | 25 | 1 | 2 | 2 | |||
4 | Justin Schultz | Ryan Graves | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Jake Guentzel | Andre Burakovsky | 55 | 1 | 1 | 3 | |
2 | 45 | 1 | 1 | 3 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Justin Schultz | 60 | 0 | 2 | 3 | ||
2 | Ryan Graves | 40 | 0 | 2 | 3 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Ryan Graves | 55 | 0 | 3 | 2 | |
2 | 45 | 0 | 3 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 55 | 0 | 3 | 2 | Ryan Graves | 55 | 0 | 3 | 2 | ||
2 | 45 | 0 | 3 | 2 | 45 | 0 | 3 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Jake Guentzel | 55 | 1 | 1 | 3 | |
2 | 45 | 1 | 1 | 3 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Ryan Graves | 55 | 0 | 3 | 2 | |
2 | 45 | 0 | 3 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jake Guentzel | Ryan Graves |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Andre Burakovsky | Ryan Graves |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Jake Guentzel, Andre Burakovsky | Conor Sheary, Jake Guentzel |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Ryan Graves, Justin Schultz, | Justin Schultz | , Ryan Graves |
Penalty Shots |
---|
Conor Sheary, Josh Archibald, , Jake Guentzel, |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
---|
, Jake Guentzel, , , Conor Sheary, , , Josh Archibald, Andre Burakovsky, , |
Custom OT Lines Defensemen |
---|
, Ryan Graves, , , |
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 |
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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% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 25,100,000$ | 8,600,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 0 | 0 |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 100,000,000$ | 100,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 | Last Trade Date | Link |
---|---|---|---|---|---|---|
Arvid Bergstrom | Penguins | 2023 | 0 | |||
Riley Heidt | Penguins | 2023 | 64 |
Year | R1 | R2 | R3 | R4 |
---|---|---|---|---|
24 | ||||
25 | ||||
26 | ||||
27 | ||||
28 | ||||
Conditional Draft Picks |
# | 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 | Jake Guentzel | 1476 | 799 | 767 | 1566 | -23 | 1049 | 2645 | 2324 | 5556 | 14.38% | 601 | 26901 | 18.23 | 171 | 244 | 415 | 728 | 1 | 1 | 2 | 8 | 104 | 35 | 36.00% | 51 | 1.16 | 16 | 19 |
2 | Andre Burakovsky | 1360 | 448 | 928 | 1376 | 224 | 496 | 2128 | 1712 | 4336 | 10.33% | 288 | 22477 | 16.53 | 192 | 304 | 496 | 688 | 0 | 0 | 0 | 0 | 48 | 16 | 42.39% | 0 | 1.22 | 0 | 0 |
3 | Conor Sheary | 1360 | 224 | 352 | 576 | 64 | 288 | 1152 | 1264 | 3344 | 6.70% | 400 | 16354 | 12.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 16 | 38.46% | 0 | 0.70 | 0 | 16 |
4 | Jujhar Khaira | 1371 | 155 | 353 | 508 | -15 | 2619 | 2691 | 2240 | 1749 | 8.86% | 468 | 20373 | 14.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 128 | 17 | 1 | 46.64% | 0 | 0.50 | 0 | 0 |
5 | Justin Schultz | 1184 | 112 | 352 | 464 | -128 | 560 | 736 | 1360 | 1728 | 6.48% | 1104 | 22784 | 19.24 | 64 | 48 | 112 | 192 | 0 | 0 | 0 | 0 | 32 | 0 | 0% | 0 | 0.41 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Magnus Hellberg | 688 | 176 | 240 | 32 | 0.888 | 3.61 | 30318 | 0 | 16 | 1824 | 16288 | 8608 | 16 | 16 | 0.750 | 64 |
2 | Taylor Gauthier | 704 | 96 | 288 | 32 | 0.867 | 4.73 | 22957 | 64 | 0 | 1808 | 13600 | 7904 | 32 | 0 | 0 | 0 |
3 | Malcolm Subban | 64 | 48 | 16 | 0 | 0.897 | 3.12 | 3689 | 0 | 0 | 192 | 1872 | 1008 | 0 | 0 | 0 | 0 |
4 | Juha Jatkola | 160 | 48 | 48 | 16 | 0.881 | 3.99 | 7220 | 32 | 0 | 480 | 4032 | 2528 | 16 | 0 | 0 | 0 |
5 | Jonathan Bernier | 68 | 42 | 22 | 3 | 0.913 | 2.72 | 4015 | 6 | 0 | 182 | 2090 | 914 | 4 | 2 | 0.763 | 38 |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 82 | 33 | 29 | 0 | 1 | 2 | 9 | 8 | 245 | 238 | 7 | 41 | 17 | 13 | 0 | 1 | 1 | 6 | 3 | 127 | 112 | 15 | 41 | 16 | 16 | 0 | 0 | 1 | 3 | 5 | 118 | 126 | -8 | 96 | 245 | 391 | 636 | 5 | 0 | 61 | 90 | 84 | 18 | 2821 | 843 | 1027 | 922 | 85 | 2605 | 838 | 558 | 2321 | 225 | 50 | 22.22% | 163 | 38 | 76.69% | 3 | 1132 | 2025 | 55.90% | 1073 | 1908 | 56.24% | 671 | 1180 | 56.86% | 1864 | 1113 | 1694 | 732 | 1452 | 734 |
22 | 82 | 23 | 35 | 0 | 7 | 8 | 8 | 1 | 239 | 255 | -16 | 41 | 11 | 21 | 0 | 4 | 2 | 3 | 0 | 113 | 124 | -11 | 41 | 12 | 14 | 0 | 3 | 6 | 5 | 1 | 126 | 131 | -5 | 85 | 239 | 379 | 618 | 6 | 3 | 47 | 88 | 89 | 21 | 2627 | 786 | 945 | 871 | 51 | 2656 | 929 | 412 | 2238 | 204 | 37 | 18.14% | 208 | 44 | 78.85% | 6 | 1001 | 1845 | 54.25% | 970 | 1811 | 53.56% | 626 | 1154 | 54.25% | 1797 | 1053 | 1748 | 749 | 1442 | 716 |
23 | 82 | 22 | 49 | 0 | 4 | 5 | 1 | 1 | 220 | 319 | -99 | 41 | 12 | 21 | 0 | 4 | 4 | 0 | 0 | 117 | 156 | -39 | 41 | 10 | 28 | 0 | 0 | 1 | 1 | 1 | 103 | 163 | -60 | 60 | 220 | 332 | 552 | 1 | 1 | 45 | 69 | 101 | 6 | 2381 | 679 | 836 | 842 | 30 | 2730 | 899 | 1117 | 2051 | 245 | 41 | 16.73% | 336 | 90 | 73.21% | 2 | 873 | 1804 | 48.39% | 817 | 1767 | 46.24% | 571 | 1236 | 46.20% | 1664 | 910 | 1821 | 778 | 1458 | 701 |
23 | 82 | 22 | 49 | 0 | 4 | 5 | 1 | 1 | 220 | 319 | -99 | 41 | 12 | 21 | 0 | 4 | 4 | 0 | 0 | 117 | 156 | -39 | 41 | 10 | 28 | 0 | 0 | 1 | 1 | 1 | 103 | 163 | -60 | 60 | 220 | 332 | 552 | 1 | 1 | 45 | 69 | 101 | 6 | 2381 | 679 | 836 | 842 | 30 | 2730 | 899 | 1117 | 2051 | 245 | 41 | 16.73% | 336 | 90 | 73.21% | 2 | 873 | 1804 | 48.39% | 817 | 1767 | 46.24% | 571 | 1236 | 46.20% | 1664 | 910 | 1821 | 778 | 1458 | 701 |
23 | 82 | 22 | 49 | 0 | 4 | 5 | 1 | 1 | 220 | 319 | -99 | 41 | 12 | 21 | 0 | 4 | 4 | 0 | 0 | 117 | 156 | -39 | 41 | 10 | 28 | 0 | 0 | 1 | 1 | 1 | 103 | 163 | -60 | 60 | 220 | 332 | 552 | 1 | 1 | 45 | 69 | 101 | 6 | 2381 | 679 | 836 | 842 | 30 | 2730 | 899 | 1117 | 2051 | 245 | 41 | 16.73% | 336 | 90 | 73.21% | 2 | 873 | 1804 | 48.39% | 817 | 1767 | 46.24% | 571 | 1236 | 46.20% | 1664 | 910 | 1821 | 778 | 1458 | 701 |
23 | 82 | 22 | 49 | 0 | 4 | 5 | 1 | 1 | 220 | 319 | -99 | 41 | 12 | 21 | 0 | 4 | 4 | 0 | 0 | 117 | 156 | -39 | 41 | 10 | 28 | 0 | 0 | 1 | 1 | 1 | 103 | 163 | -60 | 60 | 220 | 332 | 552 | 1 | 1 | 45 | 69 | 101 | 6 | 2381 | 679 | 836 | 842 | 30 | 2730 | 899 | 1117 | 2051 | 245 | 41 | 16.73% | 336 | 90 | 73.21% | 2 | 873 | 1804 | 48.39% | 817 | 1767 | 46.24% | 571 | 1236 | 46.20% | 1664 | 910 | 1821 | 778 | 1458 | 701 |
Total Regular Season | 492 | 144 | 260 | 0 | 24 | 30 | 21 | 13 | 1364 | 1769 | -405 | 246 | 76 | 118 | 0 | 21 | 19 | 9 | 3 | 708 | 860 | -152 | 246 | 68 | 142 | 0 | 3 | 11 | 12 | 10 | 656 | 909 | -253 | 421 | 1364 | 2098 | 3462 | 15 | 7 | 288 | 454 | 577 | 63 | 14972 | 4345 | 5316 | 5161 | 256 | 16181 | 5363 | 5438 | 12763 | 1409 | 251 | 17.81% | 1715 | 442 | 74.23% | 17 | 5625 | 11086 | 50.74% | 5311 | 10787 | 49.24% | 3581 | 7278 | 49.20% | 10319 | 5807 | 10726 | 4597 | 8728 | 4258 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 27 | 15 | 12 | 0 | 0 | 0 | 0 | 0 | 70 | 63 | 7 | 13 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 39 | 32 | 7 | 14 | 6 | 8 | 0 | 0 | 0 | 0 | 0 | 31 | 31 | 0 | 30 | 70 | 111 | 181 | 0 | 0 | 18 | 24 | 22 | 6 | 893 | 305 | 289 | 263 | 36 | 904 | 324 | 135 | 765 | 65 | 11 | 16.92% | 55 | 12 | 78.18% | 1 | 345 | 640 | 53.91% | 350 | 667 | 52.47% | 181 | 365 | 49.59% | 607 | 355 | 585 | 237 | 467 | 239 |
Total Playoff | 27 | 15 | 12 | 0 | 0 | 0 | 0 | 0 | 70 | 63 | 7 | 13 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 39 | 32 | 7 | 14 | 6 | 8 | 0 | 0 | 0 | 0 | 0 | 31 | 31 | 0 | 30 | 70 | 111 | 181 | 0 | 0 | 18 | 24 | 22 | 6 | 893 | 305 | 289 | 263 | 36 | 904 | 324 | 135 | 765 | 65 | 11 | 16.92% | 55 | 12 | 78.18% | 1 | 345 | 640 | 53.91% | 350 | 667 | 52.47% | 181 | 365 | 49.59% | 607 | 355 | 585 | 237 | 467 | 239 |
# | 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 | Sidney Crosby | 27 | 13 | 21 | 34 | 12 | 7 | 60 | 50 | 90 | 14.44% | 11 | 503 | 18.66 | 3 | 6 | 9 | 10 | 0 | 0 | 0 | 0 | 3 | 1 | 49.42% | 0 | 1.35 | 0 | 0 |
2 | Jake Guentzel | 27 | 10 | 16 | 26 | 12 | 4 | 53 | 31 | 91 | 10.99% | 10 | 496 | 18.40 | 3 | 5 | 8 | 9 | 0 | 0 | 0 | 0 | 1 | 1 | 42.42% | 0 | 1.05 | 0 | 0 |
3 | Kevin Fiala | 27 | 11 | 9 | 20 | 10 | 14 | 47 | 42 | 75 | 14.67% | 14 | 495 | 18.36 | 4 | 0 | 4 | 8 | 0 | 0 | 0 | 0 | 2 | 1 | 25.00% | 0 | 0.81 | 0 | 0 |
4 | Andrei Svechnikov | 27 | 6 | 10 | 16 | -2 | 18 | 86 | 36 | 104 | 5.77% | 8 | 483 | 17.90 | 0 | 3 | 3 | 2 | 0 | 0 | 0 | 0 | 2 | 1 | 24.14% | 0 | 0.66 | 0 | 0 |
5 | Ryan O'Reilly | 27 | 6 | 9 | 15 | -3 | 4 | 32 | 75 | 84 | 7.14% | 22 | 546 | 20.23 | 0 | 2 | 2 | 4 | 0 | 0 | 0 | 3 | 1 | 0 | 57.86% | 0 | 0.55 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jonathan Bernier | 19 | 9 | 9 | 1 | 0.928 | 2.39 | 1105 | 0 | 0 | 44 | 607 | 266 | 3 | 0 | 0 | 0 |
2 | Jonathan Quick | 10 | 6 | 1 | 1 | 0.936 | 2.07 | 551 | 0 | 0 | 19 | 297 | 142 | 0 | 0 | 0 | 0 |