Penguins | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : NFHL | Morale : 99 | Team Overall : N/A |
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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 | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jaden Schwartz | X | 100.00 | 67 | 50 | 92 | 85 | 70 | 83 | 88 | 75 | 72 | 71 | 72 | 68 | 65 | 62 | 65 | 0 | 99 | 0 | 0 | 32 | 1 | 5,650,000$ | |||||
2 | Philipp Kurashev | X | 100.00 | 63 | 52 | 92 | 88 | 72 | 86 | 92 | 79 | 64 | 79 | 73 | 69 | 66 | 51 | 59 | 0 | 99 | 0 | 0 | 25 | 2 | 1,400,000$ | |||||
3 | Noel Acciari | X | 100.00 | 77 | 50 | 94 | 66 | 78 | 79 | 86 | 69 | 85 | 65 | 67 | 86 | 65 | 60 | 61 | 0 | 99 | 0 | 0 | 33 | 1 | 3,000,000$ | |||||
4 | Arthur Kaliyev | X | X | 100.00 | 66 | 50 | 93 | 77 | 79 | 78 | 85 | 72 | 61 | 68 | 69 | 67 | 68 | 52 | 60 | 0 | 99 | 0 | 0 | 23 | 3 | 1,700,000$ | ||||
5 | Oliver Wahlstrom | X | X | 100.00 | 70 | 50 | 93 | 72 | 76 | 78 | 79 | 70 | 61 | 67 | 66 | 69 | 73 | 47 | 59 | 0 | 99 | 0 | 0 | 24 | 2 | 1,500,000$ | ||||
6 | Christian Dvorak | X | 100.00 | 65 | 50 | 94 | 78 | 73 | 82 | 79 | 73 | 86 | 67 | 70 | 79 | 67 | 53 | 61 | 0 | 99 | 0 | 0 | 28 | 1 | 3,100,000$ | |||||
7 | Jack Hughes (A) | X | 100.00 | 61 | 50 | 94 | 94 | 67 | 87 | 88 | 88 | 71 | 90 | 81 | 68 | 66 | 4 | 3 | 0 | 99 | 0 | 0 | 23 | 3 | 6,250,000$ | |||||
8 | Christian Fischer | X | X | 100.00 | 74 | 54 | 91 | 75 | 80 | 78 | 94 | 71 | 64 | 69 | 66 | 74 | 65 | 51 | 61 | 0 | 99 | 0 | 0 | 27 | 1 | 2,850,000$ | ||||
9 | Anders Lee | X | X | 100.00 | 76 | 56 | 87 | 82 | 85 | 82 | 94 | 75 | 61 | 70 | 73 | 71 | 65 | 64 | 67 | 0 | 99 | 0 | 0 | 34 | 1 | 4,200,000$ | ||||
10 | Will Borgen | X | 100.00 | 78 | 54 | 88 | 84 | 78 | 84 | 95 | 77 | 25 | 72 | 66 | 79 | 65 | 56 | 63 | 0 | 99 | 0 | 0 | 28 | 2 | 2,150,000$ | |||||
11 | Matt Grzelcyk | X | 100.00 | 68 | 52 | 90 | 77 | 68 | 84 | 89 | 71 | 25 | 67 | 66 | 73 | 65 | 57 | 61 | 0 | 99 | 0 | 0 | 30 | 3 | 3,500,000$ | |||||
12 | Radim Simek (A) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 66 | 68 | 0 | 87 | 0 | 0 | 32 | 1 | 700,000$ | |||||
13 | Ivan Provorov | X | 100.00 | 68 | 50 | 93 | 85 | 82 | 89 | 95 | 78 | 25 | 75 | 69 | 83 | 65 | 56 | 61 | 0 | 99 | 0 | 0 | 27 | 1 | 3,500,000$ | |||||
Scratches | ||||||||||||||||||||||||||||||
1 | Sebastian Aho (C) | X | 100.00 | 66 | 50 | 91 | 94 | 67 | 86 | 93 | 87 | 85 | 87 | 82 | 79 | 74 | 55 | 60 | 0 | 99 | 0 | 0 | 27 | 7 | 6,696,500$ | |||||
2 | Alexis Lafreniere | X | X | 100.00 | 68 | 50 | 91 | 88 | 74 | 84 | 95 | 78 | 61 | 74 | 77 | 68 | 70 | 51 | 57 | 0 | 99 | 0 | 0 | 23 | 4 | 3,600,000$ | ||||
3 | Joel Kiviranta | X | X | 100.00 | 72 | 50 | 93 | 70 | 70 | 76 | 90 | 70 | 61 | 66 | 66 | 77 | 65 | 57 | 59 | 0 | 99 | 0 | 0 | 28 | 1 | 2,000,000$ | ||||
4 | Jacob Peterson | X | 100.00 | 62 | 50 | 93 | 70 | 69 | 80 | 84 | 65 | 71 | 65 | 64 | 73 | 65 | 58 | 3 | 0 | 99 | 0 | 0 | 25 | 1 | 787,500$ | |||||
5 | Sam Steel | X | 100.00 | 67 | 52 | 92 | 79 | 70 | 80 | 93 | 73 | 64 | 69 | 68 | 79 | 66 | 60 | 65 | 0 | 99 | 0 | 0 | 26 | 3 | 2,650,000$ | |||||
Farm Team | ||||||||||||||||||||||||||||||
1 | Adam Beckman | X | X | 100.00 | 62 | 50 | 91 | 70 | 70 | 76 | 89 | 66 | 61 | 66 | 67 | 68 | 65 | 52 | 60 | 0 | 99 | 0 | 0 | 23 | 1 | 866,250$ | ||||
2 | William Lockwood | X | X | 100.00 | 75 | 58 | 89 | 61 | 68 | 75 | 87 | 66 | 62 | 65 | 65 | 71 | 65 | 54 | 60 | 0 | 99 | 0 | 0 | 26 | 1 | 1,023,750$ | ||||
3 | Fabian Lysell | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 42 | 57 | 0 | 89 | 0 | 0 | 21 | 1 | 1,500,000$ | ||||
4 | Bryce Brodzinski | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 90 | 0 | 0 | 24 | 1 | 650,000$ | ||||
5 | Trevor Kuntar | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 64 | 0 | 0 | 23 | 1 | 825,000$ | |||
6 | Viljami Marjala | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 65 | 0 | 0 | 21 | 2 | 700,000$ | |||
7 | Gavin Hayes | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 83 | 0 | 0 | 20 | 2 | 975,000$ | ||||
8 | Ivan Ivan | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 91 | 0 | 0 | 22 | 1 | 650,000$ | |||||
9 | Darren Raddysh | X | 100.00 | 69 | 52 | 93 | 87 | 74 | 86 | 95 | 78 | 25 | 75 | 70 | 74 | 65 | 63 | 67 | 0 | 99 | 0 | 0 | 28 | 1 | 1,618,219$ | |||||
10 | Brandt Clarke | X | 100.00 | 60 | 50 | 86 | 73 | 76 | 80 | 91 | 70 | 25 | 73 | 67 | 69 | 65 | 42 | 57 | 0 | 99 | 0 | 0 | 21 | 1 | 1,500,000$ | |||||
11 | David Spacek | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 76 | 0 | 0 | 21 | 2 | 750,000$ | |||||
12 | Wade Allison | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 54 | 60 | 0 | 90 | 0 | 0 | 27 | 0 | 0$ | ||||
13 | Brandon Biro | X | X | 100.00 | 60 | 50 | 91 | 71 | 65 | 77 | 90 | 65 | 72 | 66 | 64 | 67 | 65 | 57 | 65 | 0 | 99 | 0 | 0 | 26 | 1 | 771,750$ | ||||
14 | Bryce Kindopp | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 59 | 65 | 0 | 80 | 0 | 0 | 25 | 2 | 716,625$ | ||||
15 | Jakub Lauko | X | 100.00 | 84 | 54 | 90 | 71 | 73 | 76 | 88 | 70 | 61 | 67 | 65 | 74 | 65 | 52 | 62 | 0 | 99 | 0 | 0 | 24 | 2 | 1,000,000$ | |||||
16 | Dominik Bokk | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 55 | 65 | 0 | 25 | 0 | 0 | 24 | 1 | 682,500$ | ||||
17 | Alexander Nylander | X | X | 100.00 | 64 | 50 | 93 | 86 | 73 | 83 | 91 | 76 | 61 | 67 | 79 | 67 | 66 | 59 | 68 | 0 | 99 | 0 | 0 | 26 | 1 | 650,000$ | ||||
18 | Jack Beck | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 31 | 0 | 0 | 21 | 2 | 650,000$ | ||||
19 | Samuel Honzek (R) | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 20 | 3 | 1,500,000$ | |||
20 | Oskari Laaksonen | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 55 | 63 | 0 | 25 | 0 | 0 | 25 | 1 | 866,250$ | |||||
21 | Otto Leskinen | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 59 | 66 | 0 | 25 | 0 | 0 | 27 | 0 | 0$ | |||||
22 | Donovan Sebrango | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 52 | 60 | 0 | 90 | 0 | 0 | 22 | 1 | 1,023,750$ | |||||
23 | Joshua Ess | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 54 | 60 | 0 | 81 | 0 | 0 | 25 | 1 | 716,625$ | |||||
24 | Ronald Attard | X | 100.00 | 65 | 50 | 88 | 71 | 79 | 82 | 89 | 67 | 25 | 68 | 66 | 73 | 65 | 1 | 1 | 0 | 99 | 0 | 0 | 25 | 2 | 1,023,750$ | |||||
25 | Tomas Hamara | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 25 | 0 | 0 | 20 | 2 | 975,000$ | |||||
26 | Nikolas Matinpalo | X | 100.00 | 62 | 50 | 92 | 62 | 79 | 75 | 92 | 62 | 25 | 63 | 62 | 69 | 65 | 40 | 55 | 0 | 99 | 0 | 0 | 26 | 1 | 682,500$ | |||||
27 | Matthew Andonovski (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 19 | 3 | 750,000$ | |||||
TEAM AVERAGE | 100.00 | 40 | 30 | 53 | 45 | 43 | 47 | 52 | 42 | 33 | 41 | 40 | 43 | 39 | 47 | 54 | 0 | 82 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | CON | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jake Oettinger | 100.00 | 77 | 87 | 86 | 90 | 69 | 78 | 80 | 77 | 83 | 79 | 90 | 51 | 60 | 0 | 99 | 0 | 0 | 26 | 1 | 2,900,000$ | ||
Scratches | ||||||||||||||||||||||||
1 | Joseph Woll | 100.00 | 72 | 79 | 75 | 82 | 77 | 74 | 79 | 75 | 81 | 73 | 89 | 57 | 66 | 0 | 99 | 0 | 0 | 26 | 1 | 1,950,000$ | ||
Farm Team | ||||||||||||||||||||||||
1 | Dustin Wolf | 100.00 | 64 | 76 | 71 | 69 | 91 | 66 | 73 | 69 | 75 | 67 | 72 | 55 | 64 | 0 | 99 | 0 | 0 | 23 | 1 | 787,500$ | ||
2 | Jakub Dobes | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 76 | 0 | 0 | 23 | 1 | 700,000$ | ||
3 | Aleksei Kolosov | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 55 | 40 | 0 | 70 | 0 | 0 | 22 | 2 | 975,000$ | ||
4 | Ty Young | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 85 | 0 | 0 | 20 | 2 | 700,000$ | ||
TEAM AVERAGE | 100.00 | 36 | 41 | 39 | 41 | 40 | 37 | 39 | 37 | 40 | 37 | 42 | 50 | 57 | 0 | 88 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter DeBoer | 72 | 85 | 88 | 93 | 94 | 90 | 1 | CAN | 56 | 1 | 1,000,000$ |
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 | Country | 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 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 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexis Lafreniere | Penguins | LW/RW | 23 | 2001-10-11 | CAN | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | 2024-08-31 | False | False | Pro & Farm | 3,600,000$ | 3,600,000$ | 3,600,000$ | 3,600,000$ | No | 3,600,000$ | 3,600,000$ | 3,600,000$ | - | - | - | - | - | - | 3,600,000$ | 3,600,000$ | 3,600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Anders Lee | Penguins | LW/RW | 34 | 1990-07-03 | USA | No | 227 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 4,200,000$ | 4,200,000$ | 4,200,000$ | 4,200,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Arthur Kaliyev | Penguins | LW/RW | 23 | 2001-06-26 | USA | No | 210 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | No | 1,700,000$ | 1,700,000$ | - | - | - | - | - | - | - | 1,700,000$ | 1,700,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Christian Dvorak | Penguins | C | 28 | 1996-02-02 | USA | No | 192 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Christian Fischer | Penguins | LW/RW | 27 | 1997-04-15 | USA | No | 212 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ivan Provorov | Penguins | D | 27 | 1997-01-13 | RUS | No | 220 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jack Hughes | Penguins | C | 23 | 2001-05-14 | USA | No | 175 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | No | 6,250,000$ | 6,250,000$ | - | - | - | - | - | - | - | 6,250,000$ | 6,250,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Jacob Peterson | Penguins | C | 25 | 1999-07-19 | SWE | No | 180 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 787,500$ | 787,500$ | 787,500$ | 787,500$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jaden Schwartz | Penguins | C | 32 | 1992-06-25 | CAN | No | 185 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 5,650,000$ | 5,650,000$ | 5,650,000$ | 5,650,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jake Oettinger | Penguins | G | 26 | 1998-12-18 | USA | No | 224 Lbs | 6 ft6 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Joel Kiviranta | Penguins | LW/RW | 28 | 1996-03-23 | FIN | No | 185 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Joseph Woll | Penguins | G | 26 | 1998-07-12 | USA | No | 202 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | 2024-08-31 | False | False | Pro & Farm | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Matt Grzelcyk | Penguins | D | 30 | 1994-01-05 | USA | No | 180 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Noel Acciari | Penguins | C | 33 | 1991-12-01 | USA | No | 209 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Oliver Wahlstrom | Penguins | LW/RW | 24 | 2000-06-13 | USA | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | 1,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Philipp Kurashev | Penguins | C | 25 | 1999-10-12 | SUI | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | No | 1,400,000$ | - | - | - | - | - | - | - | - | 1,400,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Radim Simek | Penguins | D | 32 | 1992-09-20 | CZE | No | 204 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 700,000$ | 700,000$ | 700,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Sam Steel (1 Way Contract) | Penguins | C | 26 | 1998-02-03 | CAN | No | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2024-08-31 | False | False | Pro & Farm | 2,650,000$ | 2,650,000$ | 2,650,000$ | 2,650,000$ | No | 2,650,000$ | 2,650,000$ | - | - | - | - | - | - | - | 2,650,000$ | 2,650,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Sebastian Aho | Penguins | C | 27 | 1997-07-26 | FIN | No | 176 Lbs | 6 ft0 | No | No | N/A | No | No | 7 | 2024-08-31 | False | False | Pro & Farm | 6,696,500$ | 6,696,500$ | 6,696,500$ | 6,696,500$ | No | 6,696,500$ | 6,696,500$ | 6,696,500$ | 6,696,500$ | 6,696,500$ | 6,696,500$ | - | - | - | 6,696,500$ | 6,696,500$ | 6,696,500$ | 6,696,500$ | 6,696,500$ | 6,696,500$ | - | - | - | No | No | No | No | No | No | - | - | - | ||
Will Borgen | Penguins | D | 28 | 1996-12-19 | USA | No | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,150,000$ | 2,150,000$ | 2,150,000$ | 2,150,000$ | No | 2,150,000$ | - | - | - | - | - | - | - | - | 2,150,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
20 | 27.35 | 198 Lbs | 6 ft1 | 2.00 | 3,004,200$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
60,084,000$ | 29,446,500$ | 24,396,500$ | 10,296,500$ | 6,696,500$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Anders Lee | Jack Hughes | Christian Fischer | 33 | 1 | 2 | 2 |
2 | Jaden Schwartz | Philipp Kurashev | 33 | 1 | 2 | 2 | |
3 | Oliver Wahlstrom | Noel Acciari | Christian Dvorak | 24 | 1 | 2 | 2 |
4 | Arthur Kaliyev | 10 | 1 | 3 | 1 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Will Borgen | 33 | 1 | 2 | 2 | ||
2 | Matt Grzelcyk | Ivan Provorov | 33 | 1 | 2 | 2 | |
3 | Radim Simek | 33 | 1 | 2 | 2 | ||
4 | Matt Grzelcyk | Ivan Provorov | 1 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Anders Lee | Jack Hughes | Christian Fischer | 50 | 0 | 1 | 4 |
2 | Jaden Schwartz | Philipp Kurashev | 50 | 0 | 1 | 4 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Matt Grzelcyk | 50 | 1 | 1 | 3 | ||
2 | Ivan Provorov | 50 | 1 | 1 | 3 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Noel Acciari | Jack Hughes | 50 | 1 | 3 | 1 |
2 | Christian Dvorak | 50 | 1 | 3 | 1 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Will Borgen | 50 | 1 | 3 | 1 | |
2 | Radim Simek | Ivan Provorov | 50 | 1 | 3 | 1 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Noel Acciari | 50 | 1 | 4 | 0 | Will Borgen | 50 | 1 | 4 | 0 | |
2 | Christian Dvorak | 50 | 1 | 4 | 0 | Radim Simek | Ivan Provorov | 50 | 1 | 4 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Jack Hughes | Anders Lee | 50 | 1 | 2 | 2 |
2 | Christian Fischer | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Will Borgen | Matt Grzelcyk | 50 | 1 | 2 | 2 |
2 | Radim Simek | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Anders Lee | Jack Hughes | Matt Grzelcyk |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Oliver Wahlstrom | Noel Acciari | Christian Dvorak | Ivan Provorov |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Christian Dvorak, Jack Hughes | , | Jack Hughes |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Radim Simek, , Matt Grzelcyk | Will Borgen | Matt Grzelcyk, |
Penalty Shots |
---|
, Philipp Kurashev, Jack Hughes, Christian Dvorak, Christian Fischer |
Goalie |
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#1 : Jake Oettinger, #2 : |
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 ) |
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7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
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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 | Level 3 | Level 4 | Luxury | |
Capacity | 6250 | 5250 | 2600 | 4200 | 1200 |
Ticket Price | 86 | 48 | 25 | 18 | 190 |
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$ | 19500 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 60,734,000$ | 60,734,000$ | 1,000,000$0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 21 | 0 |
Estimate | |||
---|---|---|---|
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$ | 117,557,397$ | 117,557,397$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 82,000,000$ | 82,000,000$ | -52,000,000$ |
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 |
---|---|---|---|---|---|---|
Brad Gardiner | Penguins | 0 | 0 | |||
Brian Zanetti | Penguins | 0 | 0 | |||
Cole OHara | Penguins | 0 | 0 | |||
Connor Hvidston | Penguins | 0 | 0 | |||
Dans Locmelis | Penguins | 0 | 0 | |||
Ethan Procyszyn | Penguins | 0 | 0 | |||
Gabe Smith | Penguins | 0 | 0 | |||
Jack Phelan | Penguins | 0 | 0 | |||
Jesse Kiiskinen | Penguins | 0 | 0 | |||
Kasper Pikkarainen | Penguins | 0 | 0 | |||
Lorenzo Canonica | Penguins | 0 | 0 | |||
Makar Khanin | Penguins | 0 | 0 | |||
Marcus Gidlof | Penguins | 0 | 0 | |||
Matthew Mayich | Penguins | 0 | 0 | |||
Matvei Gridin | Penguins | 0 | 0 | |||
Matyas Melovsky | Penguins | 0 | 0 | |||
Nikita Susuyev | Penguins | 0 | 0 | |||
Sutter Muzzatti | Penguins | 0 | 0 | |||
Yaroslav Korostelyov | Penguins | 0 | 0 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2024 | PIT | PIT NYI | PIT | PIT | PIT | COL PIT | |
2025 | BOS PIT COL | PIT | PIT | PIT | PIT | PIT | |
2026 | PIT | PIT | PIT | PIT | PIT | PIT | PIT |
2027 | PIT | PIT | PIT | PIT | PIT | PIT | PIT |
2028 | PIT | PIT | PIT | PIT | PIT | PIT | PIT |
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 |
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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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