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Full Scoreboard »» |
| Pittsburgh Penguins 17-14-4, 38pts · 8th 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 | 97.00 | 84 | 42 | 75 | 81 | 85 | 87 | 89 | 80 | 90 | 86 | 79 | 74 | 80 | 80 | 77 | 0 | 48 | 90 | 32 | 8,750,000$/5yrs | |||
Filip Forsberg | 0 | LW | 99.00 | 77 | 35 | 81 | 83 | 80 | 87 | 90 | 77 | 59 | 79 | 85 | 65 | 81 | 77 | 75 | 0 | 47 | 89 | 31 | 8,500,000$/5yrs | |||
Mark Scheifele | 0 | C | 96.00 | 55 | 33 | 70 | 84 | 80 | 88 | 90 | 79 | 87 | 80 | 89 | 53 | 84 | 81 | 78 | 0 | 47 | 88 | 32 | 8,000,000$/4yrs | |||
Evgeni Malkin | 0 | C | 99.00 | 60 | 33 | 75 | 77 | 79 | 84 | 90 | 74 | 77 | 88 | 69 | 52 | 72 | 92 | 89 | 0 | 47 | 85 | 39 | 7,000,000$/1yrs | |||
Brock Boeser | 0 | RW | 100.00 | 66 | 33 | 93 | 78 | 81 | 87 | 89 | 75 | 59 | 71 | 81 | 59 | 78 | 72 | 72 | 0 | 47 | 84 | 28 | 7,500,000$/8yrs | |||
J.T. Compher | 0 | C/RW | 100.00 | 61 | 32 | 86 | 67 | 74 | 86 | 89 | 67 | 82 | 69 | 68 | 76 | 67 | 76 | 74 | 0 | 47 | 79 | 30 | 5,500,000$/2yrs | |||
Yegor Chinakhov | 0 | LW/RW | 100.00 | 69 | 33 | 95 | 74 | 80 | 81 | 78 | 68 | 56 | 66 | 73 | 63 | 71 | 65 | 65 | 0 | 48 | 79 | 24 | 2,500,000$/1yrs | |||
Matthew Coronato | 0 | RW | 100.00 | 61 | 35 | 88 | 75 | 69 | 84 | 89 | 69 | 61 | 68 | 75 | 56 | 72 | 62 | 61 | 0 | 47 | 79 | 23 | 6,500,000$/7yrs | |||
Joel Armia | 0 | RW | 100.00 | 67 | 34 | 88 | 64 | 86 | 80 | 88 | 62 | 58 | 62 | 67 | 75 | 65 | 79 | 78 | 0 | 47 | 77 | 32 | 3,500,000$/1yrs | |||
Josh Doan (R) | 0 | C | 100.00 | 66 | 32 | 95 | 69 | 73 | 78 | 75 | 64 | 60 | 66 | 68 | 56 | 66 | 63 | 63 | 0 | 50 | 76 | 23 | 925,000$/1yrs | |||
Tanner Jeannot | 0 | LW/RW | 100.00 | 84 | 69 | 63 | 58 | 82 | 77 | 90 | 57 | 61 | 66 | 58 | 78 | 58 | 73 | 69 | 0 | 30 | 74 | 28 | 2,500,000$/2yrs | |||
Morgan Barron | 0 | C/LW/RW | 100.00 | 75 | 35 | 91 | 58 | 89 | 73 | 89 | 58 | 74 | 57 | 62 | 71 | 60 | 69 | 68 | 0 | 47 | 72 | 27 | 1,500,000$/2yrs | |||
Shea Theodore | 0 | D | 98.00 | 54 | 33 | 90 | 81 | 79 | 93 | 83 | 70 | 30 | 87 | 62 | 63 | 66 | 75 | 74 | 0 | 33 | 86 | 30 | 7,425,000$/7yrs | |||
MacKenzie Weegar | 0 | D | 99.00 | 85 | 36 | 82 | 68 | 79 | 95 | 90 | 67 | 30 | 74 | 67 | 82 | 67 | 78 | 76 | 0 | 48 | 85 | 31 | 6,000,000$/6yrs | |||
Travis Sanheim | 6 | D | 100.00 | 69 | 32 | 81 | 64 | 75 | 96 | 90 | 66 | 30 | 70 | 62 | 81 | 64 | 74 | 72 | 0 | 47 | 81 | 29 | 6,250,000$/6yrs | |||
Alex Vlasic | 0 | D | 100.00 | 64 | 38 | 87 | 62 | 84 | 93 | 90 | 64 | 30 | 66 | 56 | 84 | 60 | 65 | 64 | 0 | 44 | 78 | 24 | 1,450,000$/5yrs | |||
Dylan Samberg | 0 | D | 100.00 | 66 | 36 | 83 | 59 | 88 | 86 | 86 | 61 | 30 | 65 | 57 | 77 | 59 | 69 | 67 | 0 | 48 | 76 | 26 | 4,000,000$/5yrs | |||
Tyler Kleven (R) | 0 | D | 100.00 | 71 | 36 | 88 | 55 | 82 | 79 | 79 | 50 | 30 | 57 | 56 | 61 | 53 | 63 | 62 | 0 | 47 | 69 | 23 | 1,600,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.33 | 69 | 37 | 84 | 70 | 80 | 85 | 87 | 67 | 56 | 71 | 69 | 68 | 68 | 73 | 71 | 0 | 46 | 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 | 98.00 | 89 | 95 | 83 | 83 | 94 | 87 | 93 | 92 | 93 | 93 | 93 | 82 | 86 | 0 | 50 | 93 | 33 | 1,500,000$/1yrs |
Linus Ullmark | 0 | 100.00 | 81 | 90 | 79 | 88 | 89 | 80 | 90 | 93 | 90 | 93 | 90 | 79 | 83 | 0 | 52 | 91 | 32 | 6,000,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.00 | 85 | 93 | 81 | 86 | 92 | 84 | 92 | 93 | 92 | 93 | 92 | 81 | 85 | 0 | 51 | 92 | |||
| 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 | 35 | 14 | 21 | 35 | 6 | 59 | 5 | 102 | 164 | 51 | 120 | 8.54% | 15 | 22.89 | 3 | 6 | 9 | 111 | 1 | 0 | 1 | 111 | 2 | 2 | 61.62% | 99 | 0 | 0 | 0 | 1 | 0.87 | 2 | 6 | |
| 2 | Mark Scheifele | 0 | C | 35 | 13 | 17 | 30 | 7 | 6 | 0 | 30 | 123 | 35 | 83 | 10.57% | 5 | 23.78 | 3 | 7 | 10 | 111 | 0 | 2 | 2 | 141 | 3 | 0 | 53.43% | 1252 | 0 | 0 | 0 | 0 | 0.72 | 1 | 4 | |
| 3 | MacKenzie Weegar | 0 | D | 35 | 9 | 17 | 26 | -8 | 67 | 5 | 130 | 69 | 30 | 46 | 13.04% | 71 | 25.73 | 4 | 6 | 10 | 118 | 1 | 0 | 1 | 93 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 4 | Brock Boeser | 0 | RW | 35 | 10 | 14 | 24 | 6 | 0 | 0 | 16 | 110 | 20 | 71 | 9.09% | 4 | 20.00 | 1 | 2 | 3 | 112 | 0 | 0 | 0 | 22 | 1 | 3 | 49.25% | 67 | 0 | 0 | 0 | 0 | 0.69 | 0 | 1 | |
| 5 | Filip Forsberg | 0 | LW | 35 | 11 | 12 | 23 | 2 | 10 | 0 | 61 | 153 | 48 | 106 | 7.19% | 3 | 19.81 | 3 | 4 | 7 | 108 | 0 | 0 | 0 | 70 | 1 | 0 | 27.27% | 44 | 0 | 0 | 0 | 0 | 0.66 | 4 | 6 | |
| 6 | Alex Vlasic | 0 | D | 35 | 5 | 16 | 21 | 10 | 11 | 5 | 29 | 73 | 16 | 45 | 6.85% | 58 | 21.60 | 2 | 4 | 6 | 103 | 0 | 0 | 0 | 98 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
| 7 | Evgeni Malkin | 0 | C | 35 | 5 | 15 | 20 | 1 | 8 | 0 | 29 | 87 | 28 | 53 | 5.75% | 5 | 19.78 | 0 | 4 | 4 | 108 | 0 | 0 | 0 | 75 | 1 | 1 | 50.40% | 875 | 0 | 0 | 0 | 0 | 0.58 | 0 | 2 | |
| 8 | J.T. Compher | 0 | C/RW | 35 | 7 | 9 | 16 | -4 | 4 | 0 | 21 | 89 | 33 | 47 | 7.87% | 4 | 14.03 | 3 | 3 | 6 | 107 | 0 | 0 | 0 | 2 | 2 | 0 | 50.00% | 30 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
| 9 | Matthew Coronato | 0 | RW | 35 | 6 | 8 | 14 | 7 | 2 | 0 | 13 | 50 | 15 | 37 | 12.00% | 3 | 12.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 33.33% | 24 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 10 | Shea Theodore | 0 | D | 36 | 1 | 12 | 13 | -7 | 10 | 0 | 10 | 29 | 19 | 33 | 3.45% | 42 | 23.46 | 1 | 3 | 4 | 95 | 0 | 0 | 0 | 68 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 11 | Travis Sanheim | 6 | D | 35 | 3 | 10 | 13 | -6 | 24 | 0 | 47 | 64 | 22 | 29 | 4.69% | 53 | 24.26 | 2 | 3 | 5 | 119 | 0 | 0 | 0 | 105 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 12 | Yegor Chinakhov | 0 | LW/RW | 35 | 7 | 4 | 11 | 2 | 9 | 5 | 23 | 52 | 16 | 28 | 13.46% | 1 | 9.85 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 62.50% | 32 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
| 13 | Dylan Samberg | 0 | D | 35 | 2 | 8 | 10 | 5 | 19 | 5 | 47 | 25 | 8 | 10 | 8.00% | 36 | 13.69 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 14 | Josh Doan | 0 | C | 35 | 2 | 5 | 7 | 1 | 13 | 5 | 18 | 26 | 14 | 17 | 7.69% | 3 | 9.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.47% | 375 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 15 | Joel Armia | 0 | RW | 35 | 4 | 2 | 6 | -6 | 0 | 0 | 7 | 45 | 17 | 30 | 8.89% | 0 | 7.32 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 57.89% | 19 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 16 | Tanner Jeannot | 0 | LW/RW | 34 | 0 | 4 | 4 | -7 | 32 | 0 | 59 | 25 | 7 | 12 | 0.00% | 6 | 10.01 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 66 | 0 | 0 | 51.61% | 31 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 17 | Morgan Barron | 0 | C/LW/RW | 35 | 2 | 2 | 4 | -6 | 8 | 0 | 11 | 18 | 6 | 20 | 11.11% | 2 | 7.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 55.51% | 263 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 18 | Tyler Kleven | 0 | D | 35 | 0 | 4 | 4 | 3 | 12 | 0 | 32 | 3 | 0 | 9 | 0.00% | 13 | 12.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| Team Total or Average | 630 | 101 | 180 | 281 | 6 | 294 | 30 | 685 | 1205 | 385 | 796 | 8.38% | 324 | 16.58 | 22 | 42 | 64 | 1107 | 2 | 2 | 4 | 900 | 14 | 10 | 51.27% | 3111 | 0 | 0 | 0 | 1 | 0.54 | 7 | 19 |
| 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 | 19 | 12 | 6 | 0 | 0.931 | 2.30 | 1122 | 0 | 2 | 43 | 623 | 0 | 1 | 1 | 1.000 | 4 | 18 | 17 | 3 | 3 | 0 | |
| 2 | Scott Wedgewood | 17 | 5 | 8 | 4 | 0.903 | 3.16 | 1006 | 2 | 0 | 53 | 545 | 0 | 1 | 2 | 0.667 | 15 | 17 | 18 | 1 | 0 | 0 | |
| Team Total or Average | 36 | 17 | 14 | 4 | 0.918 | 2.71 | 2128 | 2 | 2 | 96 | 1168 | 0 | 2 | 3 | 0.737 | 19 | 35 | 35 | 4 | 3 | 0 |
| Projected Total Cap Hit | 96,196,802$ |
| Projected Cap Space | -696,802$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 38,157,682$ |
| 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 | 23 | 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 |
Morgan Barron ![]() | C/LW/RW | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
| Scott Wedgewood | G | 33 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Shea Theodore ![]() | D | 30 | 7,425,000$ | 7,425,000$ | 7,425,000$ | 7,425,000$ | 7,425,000$ | 7,425,000$ | 7,425,000$ | 7,425,000$ | UFA |
Tanner Jeannot ![]() | LW/RW | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 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$ | |||||||
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$ | |||||||
Matt Rempe | C/RW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
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 | 26 | 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 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 1 | 1 | 6 | 2 | 66 | 18 | 23 | 23 | 5 | 85 | 20 | 25 | 47 | 5 | 1 | 20.00% | 9 | 0 | 100.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 44 | 29 | 53 | 15 | 27 | 12 | 53.3% | 13.6% | 91.8% | 105.4 | LUCKY | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 37 | 12 | 10 | 15 | 0 | 21 | 5 | 2 | 16 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 1 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 26 | 19 | 20 | 7 | 12 | 6 | 75.0% | 10.8% | 95.2% | 106.0 | LUCKY | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 23 | 8 | 5 | 10 | 0 | 40 | 10 | 14 | 21 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 19 | 12 | 29 | 8 | 11 | 5 | 40.0% | 8.7% | 92.5% | 101.2 | DULL | |
| 4 | 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 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 26 | 18 | 21 | 7 | 11 | 5 | 80.0% | 7.8% | 92.1% | 99.9 | DULL | |
| 5 | 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 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 46 | 32 | 49 | 13 | 23 | 11 | 75.0% | 9.9% | 94.9% | 104.7 | LUCKY | |
| 6 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 9 | -5 | 1 | 0.167 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 1 | 82 | 21 | 30 | 27 | 9 | 81 | 20 | 20 | 52 | 14 | 1 | 7.14% | 9 | 1 | 88.89% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 76 | 53 | 72 | 23 | 36 | 18 | 27.3% | 4.9% | 88.9% | 93.8 | Unlucky | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 0 | 1 | 0 | 41 | 15 | 11 | 15 | 0 | 33 | 8 | 6 | 26 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 24 | 16 | 22 | 7 | 12 | 6 | 40.0% | 4.9% | 87.9% | 92.8 | Unlucky | |
| 8 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 1 | 0.250 | 5 | 7 | 12 | 1 | 0 | 1 | 3 | 1 | 1 | 90 | 24 | 42 | 19 | 9 | 78 | 25 | 8 | 46 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 50 | 36 | 49 | 14 | 25 | 12 | 38.5% | 5.6% | 89.7% | 95.3 | Unlucky | |
| 9 | 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 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 34 | 25 | 17 | 6 | 13 | 8 | 60.0% | 8.2% | 85.7% | 93.9 | Unlucky | |
| 10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 1 | 2 | 0 | 3 | 0 | 63 | 21 | 19 | 23 | 0 | 59 | 10 | 14 | 31 | 4 | 1 | 25.00% | 7 | 0 | 100.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 44 | 31 | 49 | 15 | 26 | 12 | 50.0% | 7.9% | 93.2% | 101.2 | DULL | |
| 11 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 7 | 12 | 0 | 0 | 2 | 1 | 2 | 0 | 83 | 25 | 15 | 40 | 3 | 60 | 19 | 16 | 33 | 7 | 1 | 14.29% | 8 | 3 | 62.50% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 52 | 35 | 42 | 14 | 27 | 14 | 44.4% | 6.0% | 86.7% | 92.7 | Unlucky | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 37 | 16 | 11 | 10 | 0 | 26 | 9 | 6 | 22 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 24 | 17 | 22 | 7 | 12 | 6 | 80.0% | 13.5% | 96.2% | 109.7 | LUCKY | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 33 | 11 | 12 | 10 | 0 | 32 | 12 | 10 | 20 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 22 | 14 | 24 | 7 | 13 | 6 | 25.0% | 9.1% | 87.5% | 96.6 | FUN | |
| 14 | 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 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 25 | 17 | 26 | 7 | 13 | 6 | 60.0% | 9.1% | 90.2% | 99.3 | FUN | |
| 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 10 | 7 | 10 | 0 | 37 | 10 | 10 | 21 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 21 | 14 | 27 | 7 | 11 | 5 | 0.0% | 0.0% | 94.6% | 94.6 | DULL | |
| 16 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 0 | 1 | 40 | 12 | 11 | 12 | 7 | 38 | 10 | 10 | 17 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 27 | 19 | 25 | 6 | 12 | 6 | 57.1% | 12.5% | 89.5% | 102.0 | FUN | |
| 17 | 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 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 27 | 20 | 19 | 7 | 13 | 6 | 66.7% | 12.8% | 96.2% | 109.0 | LUCKY | |
| 18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 0 | 2 | 6 | 0 | 57 | 12 | 22 | 23 | 0 | 81 | 22 | 27 | 46 | 4 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 44 | 29 | 52 | 13 | 23 | 11 | 57.1% | 14.0% | 90.1% | 104.2 | FUN | |
| 19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 3 | 0 | 31 | 9 | 7 | 15 | 0 | 40 | 9 | 6 | 22 | 7 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 25 | 18 | 21 | 7 | 12 | 6 | 80.0% | 12.9% | 92.5% | 105.4 | LUCKY | |
| 20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 1 | 1 | 1 | 2 | 0 | 68 | 21 | 19 | 28 | 0 | 52 | 15 | 20 | 29 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 49 | 34 | 45 | 14 | 25 | 13 | 60.0% | 5.9% | 94.2% | 100.1 | DULL | |
| 21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 41 | 14 | 13 | 14 | 0 | 39 | 9 | 8 | 18 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 23 | 16 | 24 | 7 | 11 | 5 | 33.3% | 2.4% | 94.9% | 97.3 | DULL | |
| 22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 2 | 0 | 0 | 51 | 14 | 14 | 23 | 0 | 61 | 20 | 18 | 36 | 5 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 45 | 30 | 48 | 14 | 25 | 12 | 37.5% | 5.9% | 90.2% | 96.0 | Unlucky | |
| 23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 2 | 5 | 3 | 0 | 72 | 22 | 27 | 23 | 0 | 70 | 17 | 33 | 42 | 10 | 4 | 40.00% | 6 | 0 | 100.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 43 | 28 | 50 | 14 | 25 | 12 | 50.0% | 13.9% | 91.4% | 105.3 | LUCKY | |
| 24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 30 | 9 | 8 | 13 | 0 | 34 | 9 | 2 | 30 | 2 | 2 | 100.00% | 1 | 0 | 100.00% | 0 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 23 | 16 | 22 | 5 | 13 | 6 | 42.9% | 16.7% | 88.2% | 104.9 | FUN | |
| _Vs Division | 9 | 5 | 2 | 0 | 1 | 0 | 1 | 0 | 35 | 27 | 8 | 14 | 0.778 | 35 | 55 | 90 | 1 | 0 | 8 | 7 | 18 | 3 | 333 | 93 | 106 | 131 | 6 | 336 | 98 | 95 | 206 | 32 | 4 | 12.50% | 38 | 7 | 81.58% | 2 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 212 | 146 | 221 | 64 | 111 | 54 | 60.8% | 10.5% | 92.0% | 102.5 | LUCKY | |
| _Vs Conference | 18 | 7 | 7 | 0 | 1 | 0 | 2 | 1 | 59 | 51 | 8 | 21 | 0.583 | 59 | 99 | 158 | 2 | 0 | 18 | 16 | 22 | 5 | 605 | 177 | 193 | 223 | 22 | 608 | 171 | 165 | 367 | 65 | 10 | 15.38% | 70 | 10 | 85.71% | 2 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 432 | 299 | 438 | 131 | 223 | 110 | 54.4% | 9.8% | 91.6% | 101.4 | LUCKY | |
| _Since Last GM Reset | 35 | 13 | 14 | 0 | 1 | 1 | 3 | 3 | 108 | 102 | 6 | 38 | 0.543 | 108 | 183 | 291 | 3 | 2 | 33 | 31 | 40 | 8 | 1225 | 370 | 391 | 442 | 41 | 1171 | 328 | 310 | 694 | 132 | 22 | 16.67% | 129 | 20 | 84.50% | 2 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 850 | 592 | 839 | 254 | 443 | 222 | 51.2% | 8.8% | 91.3% | 100.1 | DULL | |
| Total | 35 | 13 | 14 | 0 | 1 | 1 | 3 | 3 | 108 | 102 | 6 | 38 | 0.543 | 108 | 183 | 291 | 3 | 2 | 33 | 31 | 40 | 8 | 1225 | 370 | 391 | 442 | 41 | 1171 | 328 | 310 | 694 | 132 | 22 | 16.67% | 129 | 20 | 84.50% | 2 | 688 | 1264 | 54.43% | 621 | 1240 | 50.08% | 280 | 555 | 50.45% | 850 | 592 | 839 | 254 | 443 | 222 | 51.2% | 8.8% | 91.3% | 100.1 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1264 |
| Neutral Zone Start | 555 |
| Defensive Zone Start | 1240 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1589 |
| Faceoffs Lost | 1470 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.6 | 9.57 |
| 2nd Period | 21.7 | 20.31 |
| 3rd Period | 34.4 | 30.68 |
| Overtime | 35.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 3.0 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 81 |
|---|---|
| PP Goal | 22 |
| PK Goal | 2 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 7 | 10 |
| Lost | 8 | 6 |
| Overtime Lost | 3 | 1 |
| PP Attempt | 132 |
|---|---|
| PP Goal | 22 |
| PK Attempt | 129 |
| PK Goal Against | 20 |
| Home | |
|---|---|
| Shots For | 35.0 |
| Shots Against | 33.5 |
| Goals For | 3.1 |
| Goals Against | 2.9 |
| Hits | 19.8 |
| Shots Blocked | 9.4 |
| Pim | 8.9 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-08 | @ | Penguins5,Rangers3 | RECAP | |||||||||||
| 2025-10-10 | @ | Islanders3,Penguins4 (OT) | RECAP | |||||||||||
| 2025-10-12 | @ | Rangers1,Penguins3 | RECAP | |||||||||||
| 2025-10-15 | @ | Penguins2,Ducks3 | RECAP | |||||||||||
| 2025-10-17 | @ | Penguins2,Kings0 | RECAP | |||||||||||
| 2025-10-19 | @ | Penguins6,Sharks3 | RECAP | |||||||||||
| 2025-10-22 | @ | Canucks3,Penguins4 (SO) | RECAP | |||||||||||
| 2025-10-24 | @ | Penguins5,Panthers1 | RECAP | |||||||||||
| 2025-10-26 | @ | Blue Jackets5,Penguins2 | RECAP | |||||||||||
| 2025-10-28 | @ | Blues4,Penguins3 (SO) | RECAP | |||||||||||
| 2025-10-29 | @ | Penguins5,Flyers4 | RECAP | |||||||||||
| 2025-10-31 | @ | Penguins3,Wild5 | RECAP | |||||||||||
| 2025-11-02 | @ | Penguins4,Jets3 | RECAP | |||||||||||
| 2025-11-04 | @ | Penguins1,Maple Leafs2 | RECAP | |||||||||||
| 2025-11-07 | @ | Capitals4,Penguins2 | RECAP | |||||||||||
| 2025-11-09 | @ | Penguins4,Devils1 | RECAP | |||||||||||
| 2025-11-10 | @ | Kings4,Penguins3 | RECAP | |||||||||||
| 2025-11-15 | @ | Penguins3,Predators4 (OT) | RECAP | |||||||||||
| 2025-11-17 | @ | Predators4,Penguins2 | RECAP | |||||||||||
| 2025-11-22 | @ | Wild3,Penguins2 (SO) | RECAP | |||||||||||
| 2025-11-23 | @ | Kraken4,Penguins5 | RECAP | |||||||||||
| 2025-11-27 | @ | Sabres4,Penguins5 (SO) | RECAP | |||||||||||
| 2025-11-29 | @ | Penguins6,Blue Jackets3 | RECAP | |||||||||||
| 2025-11-30 | @ | Maple Leafs4,Penguins2 | RECAP | |||||||||||
| 2025-12-02 | @ | Penguins4,Flyers3 (SO) | RECAP | |||||||||||
| 2025-12-05 | @ | Penguins5,Lightning1 | RECAP | |||||||||||
| 2025-12-08 | @ | Penguins1,Stars2 | RECAP | |||||||||||
| 2025-12-10 | @ | Ducks0,Penguins2 | RECAP | |||||||||||
| 2025-12-12 | @ | Canadiens2,Penguins0 | RECAP | |||||||||||
| 2025-12-14 | @ | Sharks3,Penguins4 | RECAP | |||||||||||
| 2025-12-15 | @ | Mammoth2,Penguins0 | RECAP | |||||||||||
| 2025-12-17 | @ | Oilers4,Penguins3 | RECAP | |||||||||||
| 2025-12-19 | @ | Penguins2,Senators3 | RECAP | |||||||||||
| 2025-12-21 | @ | Penguins3,Canadiens5 | RECAP | |||||||||||
| 2025-12-22 | @ | Canadiens2,Penguins1 (SO) | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 96,900,000$ | 0$ | 96,196,802$ | -1,400,000$ |
| 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 | 102008 | 86979 | 34193 | 68832 | 17178 |
| Attendance PCT | 94.45% | 96.64% | 94.98% | 95.60% | 95.43% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 23 | 17177 - 95.43% | 1,572,472$ | 28,304,502$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 96,900,000$ | 96,900,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 38,558,698$ | 504,688$ | 38,157,682$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 36,166,864$ | 115 | 509,896$ | 58,638,040$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 60,723,378$ | 96,900,000$ | 10,944,027$ | -13,612,487$ |
Rookie
Injured
Cold Streak
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| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
| 2027 | ||||||||
| 2028 | ||||||||
| 2029 | ||||||||
| 2030 |
| 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 | 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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