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Full Scoreboard »» |
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Full Scoreboard »» |
| Pittsburgh Penguins 8-3-1, 17pts · 2nd in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J.T. Miller (A) | 9 | C/LW/RW | 98.00 | 84 | 42 | 75 | 81 | 85 | 87 | 89 | 80 | 90 | 86 | 79 | 74 | 80 | 80 | 77 | 0 | 51 | 90 | 32 | 8,750,000$/5yrs | |||
Filip Forsberg | 0 | LW | 100.00 | 77 | 35 | 81 | 83 | 80 | 87 | 90 | 77 | 59 | 79 | 85 | 65 | 81 | 77 | 75 | 0 | 50 | 89 | 31 | 8,500,000$/5yrs | |||
Mark Scheifele | 0 | C | 97.00 | 66 | 39 | 74 | 77 | 80 | 90 | 89 | 78 | 86 | 81 | 81 | 60 | 80 | 80 | 77 | 0 | 50 | 87 | 32 | 8,000,000$/4yrs | |||
Brock Boeser | 0 | RW | 100.00 | 66 | 33 | 93 | 78 | 81 | 87 | 89 | 75 | 59 | 71 | 81 | 59 | 78 | 72 | 72 | 0 | 50 | 84 | 28 | 7,500,000$/8yrs | |||
Evgeni Malkin | 0 | C | 100.00 | 60 | 33 | 74 | 69 | 79 | 86 | 88 | 72 | 80 | 76 | 74 | 65 | 73 | 91 | 88 | 0 | 50 | 83 | 39 | 7,000,000$/1yrs | |||
J.T. Compher | 0 | C/RW | 100.00 | 61 | 32 | 86 | 67 | 74 | 86 | 89 | 67 | 82 | 69 | 68 | 76 | 67 | 76 | 74 | 0 | 50 | 79 | 30 | 5,500,000$/2yrs | |||
Yegor Chinakhov | 0 | LW/RW | 100.00 | 69 | 33 | 95 | 74 | 80 | 81 | 78 | 68 | 56 | 66 | 73 | 63 | 71 | 65 | 65 | 0 | 50 | 79 | 24 | 2,500,000$/1yrs | |||
Matthew Coronato | 0 | RW | 100.00 | 61 | 35 | 88 | 75 | 69 | 84 | 89 | 69 | 61 | 68 | 75 | 56 | 72 | 62 | 61 | 0 | 50 | 79 | 22 | 6,500,000$/7yrs | |||
Joel Armia | 0 | RW | 100.00 | 67 | 34 | 88 | 64 | 86 | 80 | 88 | 62 | 58 | 62 | 67 | 75 | 65 | 79 | 78 | 0 | 50 | 77 | 32 | 3,500,000$/1yrs | |||
Michael Rasmussen | 0 | C/LW | 100.00 | 77 | 39 | 84 | 62 | 88 | 79 | 89 | 63 | 61 | 63 | 65 | 73 | 64 | 69 | 67 | 0 | 50 | 76 | 26 | 3,200,000$/3yrs | |||
Josh Doan (R) | 0 | C | 100.00 | 66 | 32 | 95 | 69 | 73 | 78 | 75 | 64 | 60 | 66 | 68 | 56 | 66 | 63 | 63 | 0 | 50 | 76 | 23 | 925,000$/1yrs | |||
Morgan Barron | 0 | C/LW/RW | 100.00 | 75 | 35 | 91 | 58 | 89 | 73 | 89 | 58 | 74 | 57 | 62 | 71 | 60 | 69 | 68 | 0 | 50 | 72 | 26 | 1,500,000$/2yrs | |||
MacKenzie Weegar | 0 | D | 98.00 | 85 | 36 | 82 | 68 | 79 | 95 | 90 | 67 | 30 | 74 | 67 | 82 | 67 | 78 | 76 | 0 | 50 | 85 | 31 | 6,000,000$/6yrs | |||
Travis Sanheim | 6 | D | 97.00 | 69 | 32 | 81 | 64 | 75 | 96 | 90 | 66 | 30 | 70 | 62 | 81 | 64 | 74 | 72 | 0 | 50 | 81 | 29 | 6,250,000$/6yrs | |||
Alex Vlasic | 0 | D | 100.00 | 64 | 38 | 87 | 62 | 84 | 93 | 90 | 64 | 30 | 66 | 56 | 84 | 60 | 65 | 64 | 0 | 50 | 78 | 24 | 1,450,000$/5yrs | |||
Mattias Samuelsson | 23 | D | 100.00 | 80 | 34 | 84 | 57 | 92 | 89 | 81 | 60 | 30 | 61 | 57 | 79 | 58 | 67 | 65 | 0 | 50 | 76 | 25 | 4,285,714$/5yrs | |||
Dylan Samberg | 0 | D | 100.00 | 66 | 36 | 83 | 59 | 88 | 86 | 86 | 61 | 30 | 65 | 57 | 77 | 59 | 69 | 67 | 0 | 51 | 76 | 26 | 4,000,000$/5yrs | |||
Tyler Kleven (R) | 0 | D | 100.00 | 71 | 36 | 88 | 55 | 82 | 79 | 79 | 50 | 30 | 57 | 56 | 61 | 53 | 63 | 62 | 0 | 50 | 69 | 23 | 1,600,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.44 | 70 | 35 | 85 | 68 | 81 | 85 | 87 | 67 | 56 | 69 | 69 | 70 | 68 | 72 | 71 | 0 | 50 | 80 | |||||||
| 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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scott Wedgewood | 0 | 100.00 | 78 | 80 | 74 | 83 | 83 | 77 | 83 | 87 | 82 | 88 | 83 | 80 | 84 | 0 | 48 | 86 | 33 | 1,500,000$/1yrs |
| Scratches | ||||||||||||||||||||
Linus Ullmark | 0 | 95.00 | 81 | 90 | 79 | 88 | 89 | 80 | 90 | 93 | 90 | 93 | 90 | 79 | 83 | 0 | 50 | 91 | 32 | 6,000,000$/3yrs |
| TEAM AVERAGE | 97.50 | 80 | 85 | 77 | 86 | 86 | 79 | 87 | 90 | 86 | 91 | 87 | 80 | 84 | 0 | 49 | 89 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Pascal Vincent | 78 | 75 | 77 | 92 | 77 | 71 | 75 | CAN | 54 | 4 | 1,000,000$ |
| General Manager | Étienne Côté |
|---|
| 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 | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | J.T. Miller | 9 | C/LW/RW | 12 | 6 | 5 | 11 | 4 | 27 | 5 | 25 | 64 | 14 | 37 | 9.38% | 3 | 22.65 | 2 | 2 | 4 | 35 | 0 | 0 | 0 | 38 | 0 | 1 | 55.56% | 27 | 0 | 0 | 0 | 1 | 0.81 | 1 | 2 | |
| 2 | Filip Forsberg | 0 | LW | 12 | 5 | 4 | 9 | -1 | 0 | 0 | 18 | 57 | 18 | 41 | 8.77% | 1 | 19.45 | 2 | 2 | 4 | 33 | 0 | 0 | 0 | 22 | 1 | 0 | 41.67% | 12 | 0 | 0 | 0 | 0 | 0.77 | 1 | 2 | |
| 3 | J.T. Compher | 0 | C/RW | 12 | 3 | 6 | 9 | 0 | 0 | 0 | 7 | 35 | 16 | 16 | 8.57% | 1 | 16.28 | 2 | 3 | 5 | 33 | 0 | 0 | 0 | 0 | 1 | 0 | 66.67% | 12 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | |
| 4 | MacKenzie Weegar | 0 | D | 12 | 2 | 7 | 9 | -3 | 16 | 0 | 39 | 26 | 18 | 18 | 7.69% | 26 | 26.29 | 0 | 5 | 5 | 40 | 1 | 0 | 1 | 37 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 5 | Mark Scheifele | 0 | C | 12 | 4 | 5 | 9 | 6 | 0 | 0 | 19 | 43 | 15 | 23 | 9.30% | 2 | 24.10 | 1 | 3 | 4 | 34 | 0 | 1 | 1 | 54 | 2 | 0 | 52.77% | 451 | 0 | 0 | 0 | 0 | 0.62 | 0 | 1 | |
| 6 | Mattias Samuelsson | 23 | D | 12 | 3 | 5 | 8 | 6 | 22 | 0 | 24 | 12 | 3 | 8 | 25.00% | 13 | 21.12 | 0 | 1 | 1 | 27 | 0 | 0 | 0 | 31 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 7 | Alex Vlasic | 0 | D | 12 | 2 | 6 | 8 | 6 | 2 | 0 | 8 | 24 | 7 | 15 | 8.33% | 21 | 21.16 | 1 | 2 | 3 | 27 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 8 | Evgeni Malkin | 0 | C | 12 | 1 | 6 | 7 | -1 | 0 | 0 | 11 | 32 | 18 | 20 | 3.13% | 4 | 20.08 | 0 | 2 | 2 | 33 | 0 | 0 | 0 | 31 | 0 | 0 | 50.52% | 289 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 9 | Travis Sanheim | 6 | D | 12 | 2 | 5 | 7 | -3 | 2 | 0 | 15 | 32 | 7 | 9 | 6.25% | 25 | 26.87 | 2 | 2 | 4 | 40 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 10 | Brock Boeser | 0 | RW | 12 | 3 | 2 | 5 | 5 | 0 | 0 | 5 | 27 | 4 | 14 | 11.11% | 0 | 19.20 | 1 | 0 | 1 | 35 | 0 | 0 | 0 | 0 | 0 | 1 | 41.18% | 17 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 11 | Dylan Samberg | 0 | D | 12 | 1 | 4 | 5 | 5 | 9 | 5 | 14 | 7 | 4 | 3 | 14.29% | 16 | 13.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 12 | Yegor Chinakhov | 0 | LW/RW | 12 | 4 | 1 | 5 | 5 | 4 | 0 | 9 | 25 | 8 | 7 | 16.00% | 1 | 10.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
| 13 | Josh Doan | 0 | C | 12 | 1 | 4 | 5 | 4 | 4 | 0 | 10 | 5 | 3 | 5 | 20.00% | 1 | 9.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.94% | 132 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
| 14 | Joel Armia | 0 | RW | 12 | 2 | 2 | 4 | -1 | 0 | 0 | 2 | 16 | 9 | 10 | 12.50% | 0 | 7.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 55.56% | 9 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | |
| 15 | Matthew Coronato | 0 | RW | 12 | 1 | 3 | 4 | 4 | 2 | 0 | 8 | 18 | 4 | 10 | 5.56% | 0 | 10.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 16 | Morgan Barron | 0 | C/LW/RW | 12 | 2 | 1 | 3 | -1 | 6 | 0 | 5 | 8 | 2 | 1 | 25.00% | 1 | 7.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 57.14% | 98 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
| 17 | Michael Rasmussen | 0 | C/LW | 12 | 1 | 1 | 2 | -1 | 10 | 0 | 12 | 23 | 0 | 12 | 4.35% | 3 | 8.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 58.33% | 12 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 18 | Tyler Kleven | 0 | D | 12 | 0 | 1 | 1 | 5 | 4 | 0 | 11 | 1 | 0 | 4 | 0.00% | 5 | 12.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| Team Total or Average | 216 | 43 | 68 | 111 | 39 | 108 | 10 | 242 | 455 | 150 | 253 | 9.45% | 123 | 16.41 | 11 | 22 | 33 | 343 | 1 | 1 | 2 | 313 | 7 | 4 | 51.21% | 1070 | 0 | 0 | 0 | 1 | 0.63 | 2 | 5 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Linus Ullmark | 11 | 8 | 2 | 0 | 0.927 | 2.44 | 639 | 0 | 1 | 26 | 355 | 0 | 0 | 1 | 1.000 | 2 | 10 | 2 | 2 | 0 | 0 | |
| 2 | Scott Wedgewood | 2 | 0 | 1 | 1 | 0.877 | 4.72 | 89 | 0 | 0 | 7 | 57 | 0 | 1 | 0 | 0.667 | 3 | 2 | 10 | 0 | 0 | 0 | |
| Team Total or Average | 13 | 8 | 3 | 1 | 0.920 | 2.72 | 729 | 0 | 1 | 33 | 412 | 0 | 1 | 1 | 0.800 | 5 | 12 | 12 | 2 | 0 | 0 |
| Projected Total Cap Hit | 94,366,986$ |
| Projected Cap Space | 1,133,014$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 12,205,825$ |
| Players In Salary Cap | 20 |
| LTIR Players | 0 |
| Penguins Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Vlasic ![]() | D | 24 | 1,450,000$ | 1,450,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | ||
Brock Boeser ![]() | RW | 28 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ |
Dylan Samberg ![]() | D | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||
Evgeni Malkin ![]() | C | 39 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Filip Forsberg ![]() | LW | 31 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | ||
J.T. Compher ![]() | C/RW | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
J.T. Miller ![]() | C/LW/RW | 32 | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | UFA | ||
Joel Armia ![]() | RW | 32 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Josh Doan | C | 23 | 925,000$ | 925,000$ | RFA | ||||||
| Linus Ullmark | G | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
MacKenzie Weegar ![]() | D | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |
Mark Scheifele ![]() | C | 32 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Matthew Coronato ![]() | RW | 22 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA |
Mattias Samuelsson ![]() | D | 25 | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | UFA | ||
Michael Rasmussen ![]() | C/LW | 26 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | ||||
Morgan Barron ![]() | C/LW/RW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
| Scott Wedgewood | G | 33 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Travis Sanheim ![]() | D | 29 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |
Tyler Kleven ![]() | D | 23 | 1,600,000$ | 1,600,000$ | 1,600,000$ | RFA | |||||
Yegor Chinakhov ![]() | LW/RW | 24 | 2,500,000$ | 2,500,000$ | RFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Edstrom | C | 25 | 975,000$ | 975,000$ | 975,000$ | ||||||
Benjamin Kraws | G | 25 | 775,000$ | 775,000$ | RFA | ||||||
Bogdan Trineyev | RW | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Cam Thiesing | C | 24 | 870,000$ | 870,000$ | RFA | ||||||
Cameron Butler | RW | 23 | 858,333$ | 858,333$ | RFA | ||||||
Cameron Crotty | D | 26 | 800,000$ | 800,000$ | |||||||
Curtis Hall | C | 25 | 825,000$ | 825,000$ | |||||||
Dennis Cholowski | D | 27 | 825,000$ | 825,000$ | |||||||
Emmitt Finnie | C/LW | 20 | 821,667$ | 821,667$ | 821,667$ | 821,667$ | RFA | ||||
Gavin Bayreuther | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Ilya Nikolayev | C | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
Isaac Ratcliffe | LW | 26 | 775,000$ | 775,000$ | |||||||
Jack Finley | C | 23 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | RFA | ||||
Jacob Moverare | D | 27 | 775,000$ | 775,000$ | |||||||
Jakob Pivonka | C | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Jaxson Nelson | C | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Joey Anderson | RW | 27 | 900,000$ | 900,000$ | |||||||
Kurtis MacDermid | LW/D | 31 | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | |||||
Kyle McDonald | RW | 23 | 870,000$ | 870,000$ | RFA | ||||||
Marcus Sylvegard | LW/RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Markus Niemelainen | D | 27 | 800,000$ | 800,000$ | |||||||
Mikulas Hovorka | D | 24 | 950,000$ | 950,000$ | RFA | ||||||
Nick Cicek | D | 25 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | |||||
Nick Cousins ![]() | C/LW/RW | 32 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Nicolas Aube-Kubel | RW | 29 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Oliver Okuliar | LW | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Oscar Eklind | C/LW | 27 | 850,000$ | 850,000$ | |||||||
Owen Sillinger | C | 28 | 800,000$ | 800,000$ | |||||||
Parker Gahagen | G | 32 | 775,000$ | 775,000$ | UFA | ||||||
Riley Tufte | LW | 27 | 800,000$ | 800,000$ | |||||||
Ross Johnston | LW | 31 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Samuel Laberge | LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Serron Noel | RW | 25 | 800,000$ | 800,000$ | RFA | ||||||
Tyce Thompson | RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Tyler Angle | LW | 25 | 900,000$ | 900,000$ | RFA | ||||||
Victor Ostman | G | 25 | 870,000$ | 870,000$ | RFA | ||||||
Waltteri Ignatjew | G | 25 | 850,000$ | 850,000$ | 850,000$ |
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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 |
| # | VS Team | 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 | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 0 | 4 | 0 | 27 | 6 | 10 | 11 | 0 | 37 | 10 | 15 | 24 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 19 | 13 | 26 | 7 | 13 | 5 | 50.0% | 18.5% | 89.2% | 107.7 | FUN | |
| 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 1 | 1 | 51 | 17 | 16 | 17 | 1 | 38 | 18 | 10 | 17 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 1 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 26 | 18 | 21 | 7 | 11 | 5 | 80.0% | 7.8% | 92.1% | 99.9 | DULL | |
| 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 4 | 1 | 3 | 0 | 81 | 19 | 24 | 38 | 0 | 78 | 25 | 25 | 54 | 6 | 2 | 33.33% | 10 | 2 | 80.00% | 0 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 46 | 32 | 49 | 13 | 23 | 11 | 75.0% | 9.9% | 94.9% | 104.7 | LUCKY | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 3 | 6 | 1 | 0 | 1 | 2 | 0 | 0 | 39 | 10 | 21 | 8 | 0 | 44 | 10 | 6 | 25 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 22 | 15 | 24 | 7 | 12 | 6 | 37.5% | 7.7% | 88.6% | 96.3 | Unlucky | |
| 5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 2 | 49 | 16 | 21 | 10 | 4 | 21 | 6 | 4 | 14 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 34 | 25 | 17 | 6 | 13 | 8 | 60.0% | 8.2% | 85.7% | 93.9 | Unlucky | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 1 | 0 | 1 | 0 | 37 | 13 | 14 | 10 | 0 | 22 | 4 | 4 | 14 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 23 | 17 | 23 | 6 | 13 | 6 | 100.0% | 5.4% | 100.0% | 105.4 | DULL | |
| 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 33 | 11 | 8 | 14 | 3 | 41 | 16 | 14 | 21 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 25 | 17 | 26 | 7 | 13 | 6 | 60.0% | 9.1% | 90.2% | 99.3 | FUN | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 39 | 13 | 16 | 10 | 0 | 26 | 4 | 2 | 13 | 7 | 3 | 42.86% | 0 | 0 | 0.00% | 0 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 27 | 20 | 19 | 7 | 13 | 6 | 66.7% | 12.8% | 96.2% | 109.0 | LUCKY | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 34 | 10 | 13 | 11 | 0 | 46 | 15 | 14 | 25 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 22 | 15 | 26 | 6 | 11 | 5 | 40.0% | 5.9% | 89.1% | 95.0 | Unlucky | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 8 | 13 | 11 | 0 | 26 | 6 | 8 | 15 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 26 | 19 | 21 | 6 | 12 | 6 | 50.0% | 6.3% | 88.5% | 94.7 | Unlucky | |
| 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 33 | 12 | 10 | 11 | 0 | 34 | 9 | 6 | 20 | 5 | 4 | 80.00% | 2 | 0 | 100.00% | 0 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 20 | 13 | 26 | 7 | 13 | 6 | 40.0% | 18.2% | 91.2% | 109.4 | LUCKY | |
| _Vs Division | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 19 | 16 | 3 | 8 | 0.800 | 19 | 28 | 47 | 0 | 0 | 5 | 3 | 10 | 1 | 193 | 52 | 63 | 77 | 1 | 199 | 68 | 64 | 120 | 16 | 3 | 18.75% | 26 | 6 | 76.92% | 1 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 115 | 79 | 124 | 34 | 59 | 28 | 61.5% | 9.8% | 92.0% | 101.8 | LUCKY | |
| _Vs Conference | 6 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 24 | 17 | 7 | 10 | 0.833 | 24 | 37 | 61 | 0 | 0 | 6 | 5 | 12 | 1 | 232 | 65 | 79 | 87 | 1 | 225 | 72 | 66 | 133 | 23 | 6 | 26.09% | 26 | 6 | 76.92% | 1 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 142 | 100 | 144 | 42 | 72 | 35 | 62.1% | 10.3% | 92.4% | 102.8 | LUCKY | |
| _Since Last GM Reset | 12 | 6 | 3 | 0 | 1 | 0 | 1 | 1 | 44 | 35 | 9 | 17 | 0.708 | 44 | 68 | 112 | 1 | 1 | 13 | 13 | 16 | 3 | 455 | 135 | 166 | 151 | 8 | 413 | 123 | 108 | 242 | 42 | 11 | 26.19% | 46 | 10 | 78.26% | 1 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 296 | 209 | 283 | 84 | 150 | 75 | 56.9% | 9.7% | 91.5% | 101.2 | LUCKY | |
| Total | 12 | 6 | 3 | 0 | 1 | 0 | 1 | 1 | 44 | 35 | 9 | 17 | 0.708 | 44 | 68 | 112 | 1 | 1 | 13 | 13 | 16 | 3 | 455 | 135 | 166 | 151 | 8 | 413 | 123 | 108 | 242 | 42 | 11 | 26.19% | 46 | 10 | 78.26% | 1 | 251 | 449 | 55.90% | 204 | 426 | 47.89% | 93 | 185 | 50.27% | 296 | 209 | 283 | 84 | 150 | 75 | 56.9% | 9.7% | 91.5% | 101.2 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 449 |
| Neutral Zone Start | 185 |
| Defensive Zone Start | 426 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 548 |
| Faceoffs Lost | 512 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.3 | 9.57 |
| 2nd Period | 25.1 | 20.31 |
| 3rd Period | 37.7 | 30.68 |
| Overtime | 38.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.5 | 2.67 |
| Overtime | 3.8 | 2.83 |
| Even Strenght Goal | 31 |
|---|---|
| PP Goal | 11 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 3 | 5 |
| Lost | 1 | 2 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 42 |
|---|---|
| PP Goal | 11 |
| PK Attempt | 46 |
| PK Goal Against | 10 |
| Home | |
|---|---|
| Shots For | 37.9 |
| Shots Against | 34.4 |
| Goals For | 3.7 |
| Goals Against | 2.9 |
| Hits | 20.2 |
| Shots Blocked | 10.3 |
| Pim | 9.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,460,714$ | 0$ | 94,366,986$ | 1,039,286$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | PPG Paints Arena | |
| City | Pittsburgh | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 27829 | 24256 | 9385 | 19167 | 4808 |
| Attendance PCT | 92.76% | 97.02% | 93.85% | 95.84% | 96.16% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 36 | 17089 - 94.94% | 1,561,952$ | 7,809,762$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 94,460,714$ | 94,460,714$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 12,336,025$ | 491,983$ | 12,205,825$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 56,230,286$ | 167 | 497,191$ | 83,030,897$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 86,162,362$ | 94,460,714$ | 17,722,435$ | -12,209,641$ |
Rookie
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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 |
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| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Alexei Lipanov | 5.0 - 3.5 | ||||
| Ben MacDonald | 2022 | 106 | |||
| Brady Cleveland | 2023 | 71 | |||
| Charlie Tretheway | 2025 | 54 | |||
| Daimon Gardner | 2022 | 138 | |||
| Daniil Pylenkov | 2021 | 210 | |||
| Edison Engle | 2025 | 213 | |||
| Henrik Tikkanen | |||||
| Hudson Malinoski | 2023 | 159 | |||
| Jacob Leguerrier | 2019 | 144 | |||
| Joel Svensson | 2024 | 156 | |||
| Kristian Tanus | 2020 | 170 | |||
| Luke Ashton | 2024 | 183 | |||
| Manix Landry | 2021 | 153 | |||
| Mathew Hill | |||||
| Matyas Melovsky | 2024 | 190 | |||
| Melker Thelin | 2023 | 131 | |||
| Nathan Aspinall | 2024 | 180 | |||
| Nikita Yevseyev | 2022 | 217 | |||
| Rhett Pitlick | 2019 | 124 | |||
| Ryan MacPherson | 2023 | 198 | |||
| Samuel Jung | 2025 | 181 | |||
| Santeri Airola | 2019 | 207 | |||
| Terrell Goldsmith | 2023 | 122 | |||
| Vladislav Kotkov | 6.5 - 3.5 | ||||
| Zack Sharp | 2025 | 149 |
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