| Penguins | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Lukas | 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 | Kailer Yamamoto | X | X | 100.00 | 60 | 50 | 88 | 73 | 67 | 79 | 91 | 69 | 61 | 71 | 68 | 67 | 65 | 55 | 60 | 0 | 86 | 0 | 0 | 27 | 1 | 1,600,000$ | ||||
| 2 | Sebastian Aho (C) | X | 100.00 | 67 | 50 | 90 | 92 | 69 | 87 | 94 | 83 | 92 | 82 | 78 | 78 | 67 | 57 | 62 | 0 | 85 | 0 | 0 | 28 | 5 | 6,696,500$ | |||||
| 3 | Jack Hughes (A) | X | X | X | 100.00 | 61 | 50 | 93 | 94 | 67 | 87 | 88 | 87 | 78 | 87 | 81 | 70 | 67 | 54 | 60 | 0 | 79 | 0 | 0 | 24 | 1 | 6,250,000$ | |||
| 4 | Alexis Lafreniere | X | X | 100.00 | 72 | 50 | 91 | 86 | 75 | 84 | 95 | 76 | 61 | 73 | 72 | 69 | 65 | 53 | 59 | 0 | 86 | 0 | 0 | 24 | 2 | 3,600,000$ | ||||
| 5 | Jason Zucker | X | X | 100.00 | 69 | 52 | 88 | 88 | 73 | 82 | 92 | 79 | 64 | 77 | 75 | 68 | 65 | 60 | 65 | 0 | 86 | 0 | 0 | 33 | 1 | 3,250,000$ | ||||
| 6 | Alexander Kerfoot | X | X | X | 100.00 | 67 | 50 | 94 | 81 | 70 | 82 | 94 | 73 | 77 | 70 | 69 | 82 | 65 | 57 | 63 | 0 | 72 | 0 | 0 | 31 | 1 | 1,890,000$ | |||
| 7 | Teddy Blueger | X | 100.00 | 71 | 52 | 91 | 79 | 70 | 81 | 95 | 73 | 82 | 70 | 67 | 81 | 65 | 65 | 66 | 0 | 73 | 0 | 0 | 31 | 1 | 1,600,000$ | |||||
| 8 | Connor Brown | X | X | 100.00 | 62 | 50 | 94 | 82 | 70 | 81 | 95 | 74 | 61 | 70 | 70 | 75 | 65 | 63 | 65 | 0 | 87 | 0 | 0 | 31 | 1 | 1,905,000$ | ||||
| 9 | Jansen Harkins | X | 100.00 | 76 | 52 | 92 | 65 | 75 | 77 | 92 | 68 | 70 | 65 | 65 | 81 | 65 | 62 | 65 | 0 | 77 | 0 | 0 | 28 | 1 | 1,350,000$ | |||||
| 10 | Sam Steel | X | X | X | 100.00 | 67 | 52 | 92 | 79 | 72 | 81 | 94 | 73 | 77 | 70 | 67 | 79 | 65 | 62 | 67 | 0 | 83 | 0 | 0 | 27 | 1 | 2,650,000$ | |||
| 11 | Matt Grzelcyk | X | 100.00 | 65 | 50 | 94 | 89 | 68 | 87 | 95 | 81 | 25 | 81 | 65 | 72 | 65 | 59 | 63 | 0 | 84 | 0 | 0 | 31 | 1 | 3,500,000$ | |||||
| 12 | Thomas Chabot (A) | X | 100.00 | 67 | 50 | 92 | 89 | 77 | 90 | 94 | 82 | 25 | 80 | 73 | 79 | 65 | 58 | 61 | 0 | 86 | 0 | 0 | 28 | 2 | 5,850,000$ | |||||
| 13 | Brandt Clarke | X | 100.00 | 62 | 50 | 90 | 87 | 76 | 83 | 93 | 78 | 25 | 76 | 69 | 70 | 65 | 43 | 58 | 0 | 87 | 0 | 0 | 22 | 3 | 1,950,000$ | |||||
| Scratches | ||||||||||||||||||||||||||||||
| 1 | Philipp Kurashev | X | 100.00 | 65 | 50 | 93 | 77 | 72 | 80 | 85 | 72 | 65 | 67 | 69 | 70 | 65 | 53 | 61 | 0 | 82 | 0 | 0 | 26 | 0 | 0$ | |||||
| 2 | Jakub Lauko | X | 100.00 | 76 | 60 | 87 | 73 | 73 | 77 | 87 | 70 | 61 | 66 | 67 | 77 | 65 | 53 | 63 | 0 | 84 | 0 | 0 | 25 | 0 | 0$ | |||||
| 3 | Jeff Malott | X | X | 100.00 | 64 | 60 | 82 | 71 | 80 | 77 | 93 | 68 | 62 | 69 | 68 | 69 | 65 | 57 | 61 | 0 | 74 | 0 | 0 | 29 | 1 | 970,000$ | ||||
| 4 | Nikolas Matinpalo | X | 100.00 | 66 | 50 | 91 | 67 | 80 | 79 | 89 | 68 | 25 | 65 | 65 | 69 | 65 | 41 | 56 | 0 | 43 | 0 | 0 | 27 | 1 | 1,650,000$ | |||||
| Farm Team | ||||||||||||||||||||||||||||||
| 1 | Fabian Lysell | X | X | 100.00 | 60 | 50 | 88 | 70 | 69 | 80 | 90 | 67 | 61 | 68 | 66 | 66 | 65 | 43 | 58 | 0 | 84 | 0 | 0 | 22 | 1 | 1,575,000$ | ||||
| 2 | Ivan Ivan | X | 100.00 | 63 | 50 | 93 | 73 | 72 | 77 | 93 | 71 | 64 | 65 | 69 | 66 | 65 | 41 | 56 | 0 | 79 | 0 | 0 | 23 | 1 | 1,100,000$ | |||||
| 3 | Samuel Honzek | X | X | X | 100.00 | 62 | 50 | 92 | 67 | 72 | 79 | 88 | 63 | 61 | 64 | 63 | 70 | 65 | 40 | 55 | 0 | 78 | 0 | 1 | 21 | 1 | 1,500,000$ | |||
| 4 | Dans Locmelis | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 44 | 55 | 0 | 78 | 0 | 0 | 21 | 2 | 825,000$ | ||||
| 5 | Matvei Gridin | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 42 | 55 | 0 | 76 | 0 | 0 | 19 | 2 | 1,500,000$ | ||||
| 6 | Donovan Sebrango | X | 100.00 | 60 | 50 | 80 | 69 | 83 | 77 | 86 | 62 | 25 | 63 | 62 | 66 | 65 | 53 | 61 | 0 | 78 | 0 | 0 | 23 | 1 | 1,074,938$ | |||||
| 7 | Atro Leppanen | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 78 | 0 | 0 | 27 | 1 | 900,000$ | |||||
| 8 | Bryce Kindopp | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 66 | 0 | 68 | 0 | 0 | 26 | 0 | 0$ | ||||
| 9 | Jesse Puljujarvi | X | X | 100.00 | 80 | 50 | 87 | 78 | 82 | 78 | 87 | 73 | 61 | 69 | 69 | 70 | 65 | 55 | 62 | 0 | 70 | 0 | 0 | 27 | 0 | 0$ | ||||
| 10 | Adam Beckman | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 53 | 61 | 0 | 83 | 0 | 0 | 24 | 0 | 0$ | ||||
| 11 | Filip Hallander | X | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 54 | 62 | 0 | 76 | 0 | 0 | 25 | 0 | 0$ | |||
| 12 | Jaret Anderson-Dolan | X | 100.00 | 73 | 50 | 90 | 65 | 75 | 76 | 88 | 64 | 62 | 64 | 63 | 73 | 65 | 55 | 60 | 0 | 78 | 0 | 0 | 26 | 0 | 0$ | |||||
| 13 | Jack Beck | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 41 | 56 | 0 | 65 | 0 | 0 | 22 | 0 | 0$ | ||||
| 14 | Viljami Marjala | X | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 41 | 56 | 0 | 74 | 0 | 0 | 22 | 0 | 0$ | |||
| 15 | Gavin Hayes | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 41 | 56 | 0 | 46 | 0 | 0 | 21 | 0 | 0$ | ||||
| 16 | Brian Halonen | X | X | 100.00 | 62 | 50 | 88 | 70 | 78 | 80 | 90 | 63 | 61 | 62 | 64 | 69 | 65 | 62 | 60 | 0 | 79 | 0 | 0 | 26 | 0 | 0$ | ||||
| 17 | Cole OHara | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 46 | 55 | 0 | 55 | 0 | 0 | 23 | 1 | 750,000$ | |||||
| 18 | Jesse Kiiskinen | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 44 | 55 | 0 | 49 | 0 | 0 | 20 | 2 | 975,000$ | |||||
| 19 | Gabe Smith | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 46 | 55 | 0 | 74 | 0 | 0 | 19 | 2 | 825,000$ | |||||
| 20 | Jack Anderson | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 43 | 58 | 0 | 69 | 0 | 0 | 23 | 1 | 680,000$ | |||||
| 21 | Christoffer Sedoff | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 48 | 57 | 0 | 82 | 0 | 0 | 23 | 0 | 0$ | |||||
| 22 | Ashton Sautner | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 67 | 69 | 0 | 84 | 0 | 0 | 31 | 0 | 0$ | |||||
| 23 | Brady Lyle | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 59 | 63 | 0 | 59 | 0 | 0 | 26 | 0 | 0$ | |||||
| 24 | Luke Prokop | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 55 | 59 | 0 | 67 | 0 | 0 | 23 | 0 | 0$ | |||||
| 25 | Ronald Attard | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 42 | 57 | 0 | 78 | 0 | 0 | 26 | 0 | 0$ | |||||
| 26 | Tomas Hamara | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 41 | 56 | 0 | 21 | 0 | 0 | 21 | 0 | 0$ | |||||
| 27 | David Spacek | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 41 | 56 | 0 | 61 | 0 | 0 | 22 | 0 | 0$ | |||||
| 28 | Matt Basgall | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 50 | 0 | 0 | 23 | 0 | 0$ | |||||
| 29 | Matthew Andonovski | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 46 | 0 | 1 | 20 | 1 | 750,000$ | |||||
| TEAM AVERAGE | 100.00 | 63 | 55 | 76 | 69 | 67 | 76 | 81 | 66 | 59 | 66 | 64 | 66 | 63 | 51 | 60 | 0 | 73 | 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 | Joseph Woll | 100.00 | 76 | 84 | 82 | 83 | 78 | 78 | 81 | 78 | 84 | 79 | 75 | 59 | 68 | 0 | 79 | 0 | 0 | 27 | 2 | 3,650,000$ | ||
| 2 | Jake Oettinger | 100.00 | 79 | 89 | 88 | 90 | 69 | 80 | 82 | 78 | 84 | 82 | 75 | 53 | 62 | 0 | 79 | 0 | 0 | 27 | 6 | 4,450,000$ | ||
| Scratches | ||||||||||||||||||||||||
| Farm Team | ||||||||||||||||||||||||
| 1 | Pheonix Copley | 100.00 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 71 | 77 | 0 | 68 | 0 | 0 | 33 | 1 | 770,000$ | ||
| 2 | Calvin Petersen | 100.00 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 58 | 66 | 0 | 61 | 0 | 0 | 31 | 1 | 850,000$ | ||
| 3 | Jakub Dobes | 100.00 | 73 | 76 | 71 | 87 | 70 | 72 | 76 | 75 | 80 | 75 | 71 | 41 | 56 | 0 | 66 | 0 | 0 | 24 | 1 | 1,000,000$ | ||
| 4 | Aleksei Kolosov | 100.00 | 63 | 76 | 71 | 76 | 84 | 64 | 67 | 64 | 64 | 62 | 72 | 56 | 41 | 0 | 84 | 0 | 0 | 23 | 0 | 0$ | ||
| 5 | Ty Young | 100.00 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 41 | 56 | 0 | 71 | 0 | 0 | 21 | 0 | 0$ | ||
| TEAM AVERAGE | 100.00 | 67 | 76 | 75 | 74 | 69 | 68 | 69 | 68 | 70 | 68 | 68 | 54 | 61 | 0 | 73 | 0 | |||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Andre Tourigny | 72 | 84 | 80 | 87 | 65 | 70 | 1 | CAN | 99 | 3 | 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 |
|---|
| 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 |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexander Kerfoot | Penguins | C/LW/RW | 31 | 1994-08-11 | CAN | No | 185 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 1 | 2025-10-25 | False | False | Pro & Farm | 1,890,000$ | 1,890,000$ | 1,890,000$ | 1,890,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Alexis Lafreniere | Penguins | LW/RW | 24 | 2001-10-11 | CAN | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | 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$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Brandt Clarke | Penguins | D | 22 | 2003-02-09 | CAN | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-09-13 | False | False | Pro & Farm | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | No | 1,950,000$ | 1,950,000$ | - | - | - | - | - | - | - | 1,950,000$ | 1,950,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Connor Brown | Penguins | LW/RW | 31 | 1994-01-14 | CAN | No | 184 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2025-10-22 | False | False | Pro & Farm | 1,905,000$ | 1,905,000$ | 1,905,000$ | 1,905,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Jack Hughes | Penguins | C/LW/RW | 24 | 2001-05-14 | USA | No | 175 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Jake Oettinger | Penguins | G | 27 | 1998-12-18 | USA | No | 224 Lbs | 6 ft6 | No | No | N/A | No | No | 6 | 2025-09-13 | False | False | Pro & Farm | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | No | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | - | - | - | - | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | ||
| Jakub Lauko | Penguins | C | 25 | 2000-03-28 | CZE | No | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 0 | 2024-08-31 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
| Jansen Harkins (1 Way Contract) | Penguins | C | 28 | 1997-05-23 | USA | No | 199 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 1 | 2025-10-25 | False | False | Pro & Farm | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Jason Zucker | Penguins | LW/RW | 33 | 1992-01-16 | USA | No | 195 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 1 | 2025-10-22 | False | False | Pro & Farm | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Jeff Malott | Penguins | LW/RW | 29 | 1996-08-07 | CAN | No | 208 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 1 | 2025-10-28 | False | False | Pro & Farm | 970,000$ | 970,000$ | 970,000$ | 970,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Joseph Woll | Penguins | G | 27 | 1998-07-12 | USA | No | 206 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | 2025-09-13 | False | False | Pro & Farm | 3,650,000$ | 3,650,000$ | 3,650,000$ | 3,650,000$ | No | 3,650,000$ | - | - | - | - | - | - | - | - | 3,650,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Kailer Yamamoto | Penguins | LW/RW | 27 | 1998-09-29 | USA | No | 178 Lbs | 5 ft9 | No | No | Assign Manually | No | No | 1 | 2025-10-31 | False | False | Pro & Farm | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Matt Grzelcyk | Penguins | D | 31 | 1994-01-05 | USA | No | 180 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Nikolas Matinpalo | Penguins | D | 27 | 1998-10-05 | FIN | No | 211 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | 2025-09-13 | False | False | Pro & Farm | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Philipp Kurashev | Penguins | C | 26 | 1999-10-12 | SUI | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
| Sam Steel (1 Way Contract) | Penguins | C/LW/RW | 27 | 1998-02-03 | CAN | No | 189 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | 2024-08-31 | False | False | Pro & Farm | 2,650,000$ | 2,650,000$ | 2,650,000$ | 2,650,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Sebastian Aho | Penguins | C | 28 | 1997-07-26 | FIN | No | 180 Lbs | 6 ft0 | No | No | N/A | No | No | 5 | 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$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Teddy Blueger | Penguins | C | 31 | 1994-08-15 | LVA | No | 185 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2025-10-31 | False | False | Pro & Farm | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Thomas Chabot | Penguins | D | 28 | 1997-01-30 | CAN | No | 203 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2025-10-25 | False | False | Pro & Farm | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | No | 5,850,000$ | - | - | - | - | - | - | - | - | 5,850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 19 | 27.68 | 194 Lbs | 6 ft1 | 1.63 | 2,779,553$ |
| Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
|---|---|---|---|---|
| 52,811,500$ | 26,196,500$ | 13,096,500$ | 11,146,500$ | 11,146,500$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Jason Zucker | Sebastian Aho | Alexander Kerfoot | 40 | 0 | 2 | 3 |
| 2 | Sam Steel | Jack Hughes | Alexis Lafreniere | 40 | 0 | 2 | 3 |
| 3 | Kailer Yamamoto | Teddy Blueger | Connor Brown | 18 | 1 | 2 | 2 |
| 4 | Jansen Harkins | 2 | 1 | 2 | 2 | ||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Thomas Chabot | 40 | 1 | 2 | 2 | ||
| 2 | Brandt Clarke | 40 | 1 | 2 | 2 | ||
| 3 | Matt Grzelcyk | 20 | 1 | 2 | 2 | ||
| 4 | Brandt Clarke | 0 | 1 | 2 | 2 | ||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Jack Hughes | Sebastian Aho | Jason Zucker | 60 | 0 | 0 | 5 |
| 2 | Alexander Kerfoot | Sam Steel | Alexis Lafreniere | 40 | 1 | 0 | 4 |
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Thomas Chabot | Brandt Clarke | 60 | 0 | 1 | 4 | |
| 2 | Matt Grzelcyk | 40 | 1 | 0 | 4 | ||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Teddy Blueger | 50 | 1 | 4 | 0 | |
| 2 | Sam Steel | Alexander Kerfoot | 50 | 1 | 4 | 0 |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Thomas Chabot | 50 | 1 | 4 | 0 | |
| 2 | Brandt Clarke | 50 | 1 | 4 | 0 | |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Alexander Kerfoot | 50 | 1 | 4 | 0 | Thomas Chabot | 50 | 1 | 4 | 0 | |
| 2 | Sam Steel | 50 | 1 | 4 | 0 | Brandt Clarke | 50 | 1 | 4 | 0 | |
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Sebastian Aho | Alexis Lafreniere | 50 | 1 | 2 | 2 |
| 2 | Jack Hughes | Alexander Kerfoot | 50 | 1 | 2 | 2 |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Thomas Chabot | 50 | 1 | 2 | 2 | |
| 2 | Brandt Clarke | Matt Grzelcyk | 50 | 1 | 2 | 2 |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Jack Hughes | Sebastian Aho | Jason Zucker | Thomas Chabot | Brandt Clarke |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Sam Steel | Sebastian Aho | Alexander Kerfoot | Thomas Chabot | |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Sebastian Aho, Alexis Lafreniere, Jack Hughes | Alexis Lafreniere, Sebastian Aho | Connor Brown |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Brandt Clarke, Thomas Chabot, Matt Grzelcyk | Matt Grzelcyk | Thomas Chabot, Brandt Clarke |
| Penalty Shots |
|---|
| Jason Zucker, Connor Brown, Sebastian Aho, Alexis Lafreniere, Alexander Kerfoot |
| Goalie |
|---|
| #1 : Jake Oettinger, #2 : Joseph Woll |
| 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | 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 |
|---|
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
| Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
| Capacity | 6250 | 5250 | 2600 | 4200 | 1200 |
| Ticket Price | 95 | 55 | 40 | 35 | 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$ | 19500 | 100 |
| Expenses | ||||
|---|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
| 0$ | 52,811,500$ | 52,811,500$ | 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$ | 17 | 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$ | 136,650,025$ | 136,650,025$ |
| Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
|---|---|---|---|
| 0$ | 100,000,000$ | 100,000,000$ | -58,000,000$ |
| Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
|---|---|---|---|---|---|---|
| Alexander Siryatsky | Penguins | 0 | 0 | 2025-10-21 | ||
| Andrew MacNiel | Penguins | 0 | 0 | |||
| Ben Kevan | Penguins | 0 | 0 | |||
| Brad Gardiner | Penguins | 0 | 0 | |||
| Connor Hvidston | Penguins | 0 | 0 | |||
| Daniel Nieminen | Penguins | 0 | 0 | |||
| Drew Schock | Penguins | 0 | 0 | |||
| Ethan Procyszyn | Penguins | 0 | 0 | |||
| Felix Nilsson | Penguins | 0 | 0 | 2025-10-21 | ||
| Jack Phelan | Penguins | 0 | 0 | |||
| Jack Pridham | Penguins | 0 | 0 | 2025-10-21 | ||
| Kasper Pikkarainen | Penguins | 0 | 0 | |||
| Kirill Yemelyanov | Penguins | 0 | 0 | |||
| Makar Khanin | Penguins | 0 | 0 | |||
| Marcus Gidlof | Penguins | 0 | 0 | |||
| Matthew Mayich | Penguins | 0 | 0 | |||
| Matyas Melovsky | Penguins | 0 | 0 | |||
| Michal Pradel | Penguins | 0 | 0 | |||
| Nikita Susuyev | Penguins | 0 | 0 | |||
| Shane Vansaghi | Penguins | 0 | 0 | |||
| Sutter Muzzatti | Penguins | 0 | 0 | |||
| Travis Hayes | Penguins | 0 | 0 | |||
| Yaroslav Korostelyov | Penguins | 0 | 0 |
| Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
|---|---|---|---|---|---|---|---|
| 2026 | PIT | PIT | PIT VGK | PIT | PIT | PIT DET | |
| 2027 | PIT | PIT | PIT | PIT | PIT | PIT | |
| 2028 | PIT | PIT | PIT | PIT | PIT | PIT | PIT |
| 2029 | PIT | PIT | PIT | PIT | PIT | PIT | PIT |
| 2030 | 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 |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| 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 |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|