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Full Scoreboard »» |
| Pittsburgh Penguins 40-31-7, 87pts · 7th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mark Scheifele | 0 | C | 95.00 | 65 | 35 | 76 | 80 | 80 | 89 | 90 | 79 | 86 | 82 | 85 | 58 | 82 | 81 | 78 | 0 | 67 | 88 | 33 | 8,000,000$/4yrs | |||
Filip Forsberg | 0 | LW | 100.00 | 78 | 33 | 81 | 78 | 80 | 86 | 90 | 73 | 58 | 76 | 80 | 62 | 76 | 78 | 76 | 0 | 65 | 85 | 31 | 8,500,000$/5yrs | |||
J.T. Miller (A) | 9 | C/LW/RW | 100.00 | 82 | 40 | 79 | 75 | 85 | 86 | 88 | 73 | 89 | 79 | 74 | 71 | 74 | 81 | 79 | 0 | 62 | 85 | 33 | 8,750,000$/5yrs | |||
Evgeni Malkin | 0 | C | 100.00 | 60 | 33 | 77 | 70 | 79 | 84 | 85 | 71 | 79 | 80 | 72 | 59 | 71 | 92 | 90 | 0 | 65 | 83 | 39 | 7,000,000$/1yrs | |||
Brock Boeser | 0 | RW | 96.00 | 66 | 33 | 94 | 73 | 81 | 85 | 89 | 69 | 60 | 68 | 75 | 60 | 72 | 73 | 73 | 0 | 65 | 80 | 29 | 7,500,000$/8yrs | |||
Matthew Coronato | 0 | RW | 100.00 | 61 | 35 | 88 | 75 | 69 | 84 | 89 | 69 | 61 | 68 | 75 | 56 | 72 | 62 | 61 | 0 | 65 | 79 | 23 | 6,500,000$/7yrs | |||
Josh Doan (R) | 0 | C | 100.00 | 66 | 32 | 92 | 69 | 73 | 79 | 84 | 64 | 60 | 68 | 67 | 57 | 66 | 65 | 64 | 0 | 68 | 76 | 24 | 925,000$/1yrs | |||
J.T. Compher | 0 | C/RW | 100.00 | 59 | 35 | 87 | 63 | 74 | 82 | 90 | 62 | 83 | 66 | 63 | 72 | 62 | 77 | 75 | 0 | 65 | 75 | 30 | 5,500,000$/2yrs | |||
A.J. Greer | 0 | LW/RW | 100.00 | 84 | 53 | 50 | 62 | 84 | 73 | 90 | 62 | 58 | 64 | 67 | 57 | 64 | 73 | 68 | 0 | 69 | 74 | 29 | 925,000$/1yrs | |||
Yegor Chinakhov | 0 | LW/RW | 100.00 | 71 | 33 | 93 | 67 | 80 | 76 | 78 | 61 | 55 | 63 | 66 | 55 | 63 | 66 | 66 | 0 | 66 | 74 | 25 | 2,500,000$/1yrs | |||
Morgan Barron | 0 | C/LW/RW | 100.00 | 77 | 34 | 88 | 59 | 89 | 73 | 87 | 58 | 76 | 59 | 64 | 71 | 61 | 70 | 69 | 0 | 65 | 73 | 27 | 1,500,000$/2yrs | |||
Nick Cousins | 0 | C/LW/RW | 100.00 | 78 | 38 | 71 | 56 | 74 | 73 | 83 | 59 | 59 | 60 | 64 | 56 | 61 | 79 | 76 | 0 | 58 | 72 | 32 | 1,300,000$/1yrs | |||
Shea Theodore | 0 | D | 96.00 | 53 | 33 | 88 | 77 | 79 | 92 | 86 | 66 | 30 | 83 | 63 | 63 | 64 | 76 | 75 | 0 | 51 | 84 | 30 | 7,425,000$/7yrs | |||
MacKenzie Weegar | 0 | D | 98.00 | 86 | 37 | 74 | 65 | 79 | 94 | 90 | 63 | 30 | 73 | 61 | 78 | 62 | 79 | 77 | 0 | 63 | 82 | 32 | 6,000,000$/6yrs | |||
Travis Sanheim | 6 | D | 100.00 | 67 | 32 | 85 | 63 | 75 | 95 | 90 | 63 | 30 | 68 | 61 | 82 | 62 | 75 | 74 | 0 | 65 | 80 | 30 | 6,250,000$/6yrs | |||
Dylan Samberg | 0 | D | 100.00 | 67 | 34 | 87 | 61 | 88 | 90 | 82 | 62 | 30 | 65 | 59 | 83 | 61 | 70 | 69 | 0 | 66 | 78 | 27 | 4,000,000$/5yrs | |||
Alex Vlasic | 0 | D | 100.00 | 63 | 36 | 93 | 62 | 84 | 92 | 90 | 63 | 30 | 67 | 57 | 81 | 60 | 66 | 65 | 0 | 52 | 78 | 24 | 1,450,000$/5yrs | |||
Tyler Kleven (R) | 0 | D | 100.00 | 72 | 38 | 87 | 55 | 82 | 80 | 89 | 50 | 30 | 58 | 55 | 62 | 53 | 64 | 63 | 0 | 66 | 69 | 24 | 1,600,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Tanner Jeannot | 0 | LW/RW | 100.00 | 89 | 67 | 62 | 58 | 82 | 75 | 87 | 58 | 60 | 61 | 61 | 65 | 59 | 73 | 69 | 0 | 18 | 72 | 28 | 2,500,000$/2yrs | |||
| TEAM AVERAGE | 99.21 | 71 | 37 | 82 | 67 | 80 | 84 | 87 | 64 | 56 | 69 | 67 | 66 | 66 | 74 | 72 | 0 | 61 | 78 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Linus Ullmark | 0 | 98.00 | 80 | 94 | 80 | 88 | 87 | 80 | 88 | 94 | 87 | 93 | 88 | 80 | 84 | 0 | 75 | 91 | 32 | 6,000,000$/3yrs |
Scott Wedgewood | 0 | 99.00 | 87 | 83 | 75 | 83 | 88 | 80 | 87 | 87 | 86 | 88 | 87 | 81 | 86 | 0 | 63 | 88 | 33 | 1,500,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.50 | 84 | 89 | 78 | 86 | 88 | 80 | 88 | 91 | 87 | 91 | 88 | 81 | 85 | 0 | 69 | 90 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Pascal Vincent | 78 | 75 | 77 | 92 | 77 | 71 | 75 | CAN | 54 | 4 | 1,000,000$ |
| 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 | 78 | 36 | 50 | 86 | 23 | 92 | 10 | 240 | 338 | 104 | 236 | 10.65% | 25 | 22.38 | 8 | 11 | 19 | 229 | 1 | 0 | 1 | 238 | 5 | 3 | 54.85% | 330 | 0 | 0 | 0 | 2 | 0.99 | 4 | 8 | |
| 2 | Mark Scheifele | 0 | C | 78 | 36 | 37 | 73 | 22 | 21 | 5 | 73 | 275 | 84 | 206 | 13.09% | 12 | 22.65 | 6 | 11 | 17 | 228 | 0 | 2 | 2 | 265 | 6 | 1 | 52.96% | 2617 | 0 | 0 | 0 | 1 | 0.83 | 1 | 7 | |
| 3 | Filip Forsberg | 0 | LW | 78 | 23 | 32 | 55 | -2 | 54 | 0 | 171 | 313 | 97 | 236 | 7.35% | 12 | 18.96 | 7 | 10 | 17 | 218 | 0 | 0 | 0 | 106 | 7 | 1 | 35.58% | 104 | 0 | 0 | 0 | 0 | 0.74 | 4 | 9 | |
| 4 | Brock Boeser | 0 | RW | 78 | 18 | 30 | 48 | 20 | 2 | 0 | 48 | 226 | 52 | 144 | 7.96% | 4 | 20.53 | 3 | 7 | 10 | 230 | 0 | 1 | 1 | 107 | 3 | 4 | 50.00% | 194 | 0 | 0 | 0 | 0 | 0.60 | 0 | 3 | |
| 5 | MacKenzie Weegar | 0 | D | 78 | 14 | 33 | 47 | 0 | 154 | 10 | 309 | 138 | 52 | 85 | 10.14% | 154 | 24.92 | 5 | 7 | 12 | 224 | 1 | 0 | 1 | 220 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 1 | 1 | |
| 6 | Shea Theodore | 0 | D | 79 | 8 | 36 | 44 | 4 | 12 | 0 | 11 | 76 | 35 | 65 | 10.53% | 92 | 24.86 | 6 | 8 | 14 | 222 | 1 | 0 | 1 | 230 | 3 | 2 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.45 | 0 | 0 | |
| 7 | Travis Sanheim | 6 | D | 78 | 11 | 28 | 39 | -9 | 84 | 0 | 134 | 133 | 48 | 79 | 8.27% | 122 | 22.61 | 7 | 9 | 16 | 242 | 0 | 0 | 0 | 222 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 8 | Evgeni Malkin | 0 | C | 78 | 10 | 27 | 37 | -5 | 20 | 0 | 65 | 187 | 58 | 124 | 5.35% | 9 | 19.10 | 0 | 8 | 8 | 218 | 0 | 0 | 0 | 128 | 1 | 2 | 51.61% | 1866 | 0 | 0 | 0 | 0 | 0.50 | 1 | 4 | |
| 9 | Alex Vlasic | 0 | D | 78 | 7 | 27 | 34 | 8 | 27 | 5 | 80 | 126 | 36 | 75 | 5.56% | 114 | 21.46 | 2 | 8 | 10 | 204 | 0 | 0 | 0 | 248 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 10 | J.T. Compher | 0 | C/RW | 78 | 14 | 18 | 32 | -9 | 10 | 0 | 46 | 164 | 57 | 114 | 8.54% | 13 | 14.58 | 4 | 8 | 12 | 219 | 0 | 0 | 0 | 121 | 2 | 0 | 48.19% | 83 | 0 | 0 | 0 | 0 | 0.56 | 0 | 2 | |
| 11 | Dylan Samberg | 0 | D | 78 | 7 | 18 | 25 | 0 | 51 | 5 | 104 | 57 | 25 | 33 | 12.28% | 89 | 14.23 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 99 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 12 | Matthew Coronato | 0 | RW | 78 | 9 | 15 | 24 | 0 | 6 | 0 | 28 | 112 | 45 | 88 | 8.04% | 6 | 13.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 33.33% | 57 | 0 | 0 | 0 | 0 | 0.45 | 0 | 2 | |
| 13 | Yegor Chinakhov | 0 | LW/RW | 78 | 9 | 5 | 14 | -3 | 21 | 5 | 59 | 80 | 26 | 45 | 11.25% | 1 | 9.73 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 54.41% | 68 | 0 | 0 | 0 | 0 | 0.37 | 0 | 1 | |
| 14 | Josh Doan | 0 | C | 78 | 6 | 7 | 13 | -3 | 29 | 5 | 46 | 75 | 26 | 44 | 8.00% | 6 | 9.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 41.58% | 849 | 0 | 0 | 0 | 0 | 0.35 | 1 | 2 | |
| 15 | Morgan Barron | 0 | C/LW/RW | 78 | 4 | 7 | 11 | -9 | 14 | 0 | 20 | 57 | 19 | 56 | 7.02% | 9 | 7.91 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 49 | 0 | 1 | 48.58% | 671 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| 16 | Tyler Kleven | 0 | D | 78 | 1 | 10 | 11 | -4 | 41 | 5 | 104 | 16 | 4 | 21 | 6.25% | 35 | 12.79 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 17 | A.J. Greer | 0 | LW/RW | 40 | 2 | 2 | 4 | -4 | 28 | 0 | 59 | 36 | 8 | 18 | 5.56% | 3 | 7.86 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 17 | 0 | 0 | 50.00% | 28 | 0 | 0 | 0 | 0 | 0.25 | 0 | 1 | |
| 18 | Tanner Jeannot | 0 | LW/RW | 38 | 0 | 4 | 4 | -8 | 32 | 0 | 66 | 29 | 10 | 14 | 0.00% | 6 | 9.70 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 69 | 0 | 0 | 50.00% | 32 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 19 | Nick Cousins | 0 | C/LW/RW | 25 | 1 | 2 | 3 | -6 | 8 | 0 | 6 | 13 | 1 | 7 | 7.69% | 3 | 7.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| Team Total or Average | 1352 | 216 | 388 | 604 | 15 | 706 | 50 | 1669 | 2451 | 787 | 1690 | 8.81% | 715 | 16.80 | 48 | 87 | 135 | 2257 | 3 | 4 | 7 | 2130 | 34 | 19 | 50.27% | 6909 | 0 | 0 | 1 | 3 | 0.53 | 12 | 40 |
| 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 | Scott Wedgewood | 43 | 20 | 15 | 6 | 0.913 | 2.93 | 2482 | 2 | 3 | 121 | 1384 | 0 | 1 | 4 | 0.714 | 28 | 43 | 34 | 7 | 2 | 0 | |
| 2 | Linus Ullmark | 36 | 19 | 15 | 1 | 0.931 | 2.33 | 2140 | 4 | 3 | 83 | 1204 | 0 | 1 | 1 | 0.833 | 12 | 34 | 41 | 5 | 7 | 2 | |
| Team Total or Average | 79 | 39 | 30 | 7 | 0.921 | 2.65 | 4623 | 6 | 6 | 204 | 2588 | 0 | 2 | 5 | 0.750 | 40 | 77 | 75 | 12 | 9 | 2 |
| Projected Total Cap Hit | 95,204,310$ |
| Projected Cap Space | 295,690$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 89,725,793$ |
| Players In Salary Cap | 21 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
A.J. Greer | LW/RW | 29 | 925,000$ | 925,000$ | UFA | ||||||
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 | 29 | 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 | 27 | 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 | 33 | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | UFA | ||
Josh Doan | C | 24 | 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 | 32 | 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 | 33 | 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$ | ||||||
Nick Cousins ![]() | C/LW/RW | 32 | 1,300,000$ | 1,300,000$ | UFA | ||||||
| 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 | 30 | 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 | 24 | 1,600,000$ | 1,600,000$ | 1,600,000$ | RFA | |||||
Yegor Chinakhov ![]() | LW/RW | 25 | 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 | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Cam Thiesing | C | 25 | 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 | 28 | 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 | 27 | 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 | 26 | 850,000$ | 850,000$ | 850,000$ | ||||||
Jansen Harkins | C/LW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Jaxson Nelson | C | 26 | 850,000$ | 850,000$ | 850,000$ | ||||||
Joey Anderson | RW | 27 | 900,000$ | 900,000$ | |||||||
Josh Dunne | C | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Kurtis MacDermid | LW/D | 32 | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | |||||
Kyle McDonald | RW | 24 | 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$ | |||||
Matyas Melovsky | C | 21 | 0$ | RFA | |||||||
Mikulas Hovorka | D | 24 | 950,000$ | 950,000$ | RFA | ||||||
Nick Cicek | D | 25 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | |||||
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 | ||||||
Rhett Pitlick | LW/RW | 25 | 0$ | RFA | |||||||
Riley Tufte | LW | 27 | 800,000$ | 800,000$ | |||||||
Ross Johnston | LW | 32 | 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 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 4 | 1.000 | 8 | 16 | 24 | 0 | 1 | 2 | 2 | 4 | 0 | 67 | 30 | 23 | 14 | 0 | 57 | 21 | 24 | 53 | 9 | 2 | 22.22% | 9 | 0 | 100.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 48 | 33 | 46 | 15 | 25 | 12 | 85.7% | 11.9% | 98.2% | 110.2 | LUCKY | |
| 2 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 11 | 10 | 1 | 6 | 0.750 | 11 | 18 | 29 | 0 | 0 | 2 | 2 | 6 | 2 | 115 | 36 | 41 | 36 | 5 | 144 | 37 | 45 | 91 | 12 | 3 | 25.00% | 18 | 2 | 88.89% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 92 | 61 | 98 | 31 | 53 | 26 | 50.0% | 9.6% | 93.1% | 102.6 | LUCKY | |
| 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 3 | 0 | 103 | 32 | 26 | 45 | 0 | 93 | 19 | 26 | 59 | 14 | 4 | 28.57% | 11 | 0 | 100.00% | 1 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 73 | 50 | 69 | 22 | 37 | 18 | 50.0% | 7.8% | 95.7% | 103.5 | DULL | |
| 4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.333 | 8 | 13 | 21 | 1 | 0 | 3 | 1 | 4 | 0 | 79 | 22 | 23 | 34 | 0 | 120 | 33 | 26 | 65 | 6 | 1 | 16.67% | 12 | 0 | 100.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 65 | 43 | 77 | 22 | 36 | 18 | 41.2% | 10.1% | 91.7% | 101.8 | LUCKY | |
| 5 | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 18 | 29 | 0 | 1 | 5 | 2 | 2 | 2 | 138 | 46 | 51 | 38 | 3 | 107 | 29 | 28 | 68 | 10 | 1 | 10.00% | 13 | 4 | 69.23% | 1 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 79 | 55 | 62 | 22 | 38 | 19 | 76.9% | 8.0% | 93.5% | 101.4 | DULL | |
| 6 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 13 | 16 | -3 | 3 | 0.375 | 13 | 23 | 36 | 0 | 0 | 4 | 5 | 4 | 0 | 111 | 39 | 34 | 38 | 0 | 178 | 44 | 32 | 105 | 12 | 4 | 33.33% | 13 | 3 | 76.92% | 1 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 83 | 56 | 109 | 30 | 49 | 24 | 40.9% | 11.7% | 91.0% | 102.7 | FUN | |
| 7 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 4 | 2 | 2 | 1 | 90 | 35 | 30 | 19 | 6 | 62 | 9 | 10 | 42 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 55 | 41 | 43 | 13 | 23 | 11 | 66.7% | 10.0% | 93.5% | 103.5 | LUCKY | |
| 8 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 6 | 0.750 | 15 | 23 | 38 | 0 | 0 | 8 | 4 | 3 | 0 | 135 | 36 | 41 | 58 | 0 | 152 | 44 | 47 | 102 | 12 | 3 | 25.00% | 21 | 5 | 76.19% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 91 | 61 | 97 | 28 | 51 | 24 | 66.7% | 11.1% | 92.8% | 103.9 | LUCKY | |
| 9 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 6 | 1.000 | 6 | 7 | 13 | 0 | 1 | 0 | 4 | 1 | 2 | 90 | 14 | 46 | 25 | 16 | 103 | 27 | 20 | 64 | 17 | 3 | 17.65% | 10 | 0 | 100.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 71 | 49 | 75 | 23 | 38 | 18 | 50.0% | 6.7% | 97.1% | 103.8 | DULL | |
| 10 | 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 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 76 | 53 | 72 | 23 | 36 | 18 | 27.3% | 4.9% | 88.9% | 93.8 | Unlucky | |
| 11 | 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 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 24 | 16 | 22 | 7 | 12 | 6 | 40.0% | 4.9% | 87.9% | 92.8 | Unlucky | |
| 12 | 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 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 50 | 36 | 49 | 14 | 25 | 12 | 38.5% | 5.6% | 89.7% | 95.3 | Unlucky | |
| 13 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 14 | 23 | 0 | 0 | 3 | 4 | 1 | 2 | 82 | 29 | 30 | 21 | 4 | 51 | 13 | 21 | 43 | 5 | 1 | 20.00% | 8 | 4 | 50.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 60 | 44 | 38 | 13 | 25 | 14 | 61.5% | 11.0% | 82.4% | 93.3 | FUN | |
| 14 | 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 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 44 | 31 | 49 | 15 | 26 | 12 | 50.0% | 7.9% | 93.2% | 101.2 | DULL | |
| 15 | 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 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 52 | 35 | 42 | 14 | 27 | 14 | 44.4% | 6.0% | 86.7% | 92.7 | Unlucky | |
| 16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 4 | 1 | 1 | 0 | 85 | 35 | 23 | 27 | 0 | 78 | 26 | 24 | 68 | 11 | 1 | 9.09% | 12 | 0 | 100.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 73 | 50 | 68 | 23 | 37 | 18 | 45.5% | 7.1% | 92.3% | 99.4 | DULL | |
| 17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 4 | 1 | 2 | 0 | 72 | 30 | 25 | 17 | 0 | 57 | 24 | 12 | 41 | 8 | 2 | 25.00% | 5 | 1 | 80.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 46 | 32 | 45 | 14 | 27 | 13 | 55.6% | 9.7% | 91.2% | 101.0 | LUCKY | |
| 18 | 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 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 25 | 17 | 26 | 7 | 13 | 6 | 60.0% | 9.1% | 90.2% | 99.3 | FUN | |
| 19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 21 | 15 | 11 | 0 | 75 | 19 | 49 | 48 | 9 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 43 | 28 | 51 | 15 | 24 | 11 | 0.0% | 0.0% | 94.7% | 94.7 | DULL | |
| 20 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 12 | 18 | -6 | 1 | 0.167 | 12 | 22 | 34 | 0 | 0 | 4 | 4 | 4 | 0 | 91 | 26 | 34 | 30 | 1 | 127 | 37 | 28 | 79 | 10 | 3 | 30.00% | 12 | 2 | 83.33% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 68 | 47 | 78 | 21 | 37 | 17 | 36.0% | 13.2% | 85.8% | 99.0 | FUN | |
| 21 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 13 | 12 | 1 | 4 | 0.667 | 13 | 22 | 35 | 0 | 0 | 5 | 3 | 4 | 1 | 74 | 20 | 24 | 25 | 7 | 111 | 24 | 28 | 63 | 4 | 1 | 25.00% | 14 | 3 | 78.57% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 68 | 47 | 79 | 21 | 37 | 18 | 57.1% | 17.6% | 89.2% | 106.8 | FUN | |
| 22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 14 | 22 | 1 | 0 | 1 | 2 | 5 | 0 | 69 | 25 | 18 | 26 | 0 | 48 | 15 | 14 | 41 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 50 | 36 | 44 | 13 | 24 | 13 | 46.7% | 11.6% | 81.3% | 92.8 | FUN | |
| 23 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 3 | 6 | 6 | 1.000 | 9 | 14 | 23 | 0 | 0 | 2 | 2 | 4 | 3 | 120 | 33 | 51 | 34 | 10 | 71 | 13 | 16 | 60 | 15 | 3 | 20.00% | 7 | 0 | 100.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 85 | 61 | 60 | 22 | 39 | 20 | 66.7% | 7.5% | 95.8% | 103.3 | DULL | |
| 24 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 12 | 13 | -1 | 4 | 0.500 | 12 | 21 | 33 | 0 | 0 | 2 | 3 | 6 | 1 | 120 | 23 | 45 | 48 | 4 | 151 | 46 | 49 | 86 | 10 | 1 | 10.00% | 21 | 4 | 80.95% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 87 | 58 | 104 | 30 | 50 | 23 | 55.0% | 10.0% | 91.4% | 101.4 | LUCKY | |
| 25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 2 | 2 | 3 | 0 | 56 | 16 | 12 | 28 | 0 | 56 | 14 | 12 | 51 | 11 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 50 | 34 | 43 | 15 | 26 | 13 | 87.5% | 12.5% | 94.6% | 107.1 | LUCKY | |
| 26 | 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 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 49 | 34 | 45 | 14 | 25 | 13 | 60.0% | 5.9% | 94.2% | 100.1 | DULL | |
| 27 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 66 | 22 | 18 | 22 | 6 | 93 | 21 | 20 | 41 | 8 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 46 | 33 | 52 | 14 | 25 | 11 | 37.5% | 4.5% | 94.6% | 99.2 | DULL | |
| 28 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 1 | 2 | 1 | 0 | 73 | 21 | 18 | 34 | 0 | 112 | 40 | 32 | 53 | 9 | 1 | 11.11% | 16 | 2 | 87.50% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 64 | 41 | 77 | 21 | 37 | 17 | 25.0% | 5.5% | 90.2% | 95.7 | Unlucky | |
| 29 | 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 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 43 | 28 | 50 | 14 | 25 | 12 | 50.0% | 13.9% | 91.4% | 105.3 | LUCKY | |
| 30 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 1 | 1 | 51 | 15 | 12 | 22 | 2 | 75 | 19 | 28 | 36 | 4 | 1 | 25.00% | 13 | 4 | 69.23% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 43 | 27 | 53 | 16 | 26 | 12 | 71.4% | 11.8% | 92.0% | 103.8 | LUCKY | |
| 31 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 4 | 1 | 3 | 0 | 61 | 19 | 21 | 21 | 0 | 65 | 15 | 8 | 51 | 6 | 3 | 50.00% | 4 | 0 | 100.00% | 0 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 50 | 36 | 44 | 13 | 25 | 13 | 50.0% | 13.1% | 92.3% | 105.4 | LUCKY | |
| _Vs Division | 23 | 10 | 8 | 0 | 3 | 1 | 1 | 0 | 72 | 65 | 7 | 29 | 0.630 | 72 | 120 | 192 | 1 | 1 | 25 | 18 | 25 | 5 | 763 | 227 | 249 | 278 | 12 | 858 | 227 | 233 | 537 | 76 | 16 | 21.05% | 100 | 19 | 81.00% | 3 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 531 | 361 | 565 | 172 | 294 | 143 | 54.9% | 9.4% | 92.4% | 101.9 | LUCKY | |
| _Vs Conference | 47 | 17 | 20 | 0 | 3 | 2 | 4 | 1 | 134 | 137 | -3 | 51 | 0.543 | 134 | 225 | 359 | 3 | 2 | 46 | 37 | 44 | 12 | 1457 | 419 | 498 | 514 | 55 | 1661 | 447 | 427 | 1041 | 162 | 30 | 18.52% | 192 | 27 | 85.94% | 3 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 1104 | 756 | 1155 | 350 | 595 | 290 | 48.6% | 9.2% | 91.8% | 100.9 | LUCKY | |
| _Since Last GM Reset | 78 | 30 | 31 | 0 | 5 | 3 | 5 | 4 | 231 | 221 | 10 | 87 | 0.558 | 231 | 394 | 625 | 5 | 6 | 77 | 67 | 77 | 17 | 2527 | 785 | 832 | 862 | 88 | 2660 | 719 | 730 | 1690 | 273 | 48 | 17.58% | 306 | 45 | 85.29% | 3 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 1867 | 1290 | 1884 | 576 | 993 | 491 | 51.0% | 9.1% | 91.7% | 100.8 | LUCKY | |
| Total | 78 | 30 | 31 | 0 | 5 | 3 | 5 | 4 | 231 | 221 | 10 | 87 | 0.558 | 231 | 394 | 625 | 5 | 6 | 77 | 67 | 77 | 17 | 2527 | 785 | 832 | 862 | 88 | 2660 | 719 | 730 | 1690 | 273 | 48 | 17.58% | 306 | 45 | 85.29% | 3 | 1437 | 2717 | 52.89% | 1451 | 2901 | 50.02% | 593 | 1226 | 48.37% | 1867 | 1290 | 1884 | 576 | 993 | 491 | 51.0% | 9.1% | 91.7% | 100.8 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2717 |
| Neutral Zone Start | 1226 |
| Defensive Zone Start | 2901 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3481 |
| Faceoffs Lost | 3363 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.1 | 9.57 |
| 2nd Period | 20.7 | 20.31 |
| 3rd Period | 31.8 | 30.68 |
| Overtime | 32.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 175 |
|---|---|
| PP Goal | 48 |
| PK Goal | 3 |
| Empty Net Goal | 5 |
| Home | Away | |
|---|---|---|
| Win | 20 | 20 |
| Lost | 15 | 16 |
| Overtime Lost | 5 | 2 |
| PP Attempt | 273 |
|---|---|
| PP Goal | 48 |
| PK Attempt | 306 |
| PK Goal Against | 45 |
| Home | |
|---|---|
| Shots For | 32.4 |
| Shots Against | 34.1 |
| Goals For | 3.0 |
| Goals Against | 2.8 |
| Hits | 21.7 |
| Shots Blocked | 9.2 |
| Pim | 9.4 |
| 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 | |||||||||||
| 2025-12-24 | @ | Penguins1,Maple Leafs5 | RECAP | |||||||||||
| 2025-12-29 | @ | Penguins7,Blackhawks6 | RECAP | |||||||||||
| 2025-12-31 | @ | Hurricanes2,Penguins5 | RECAP | |||||||||||
| 2026-01-02 | @ | Red Wings1,Penguins2 (SO) | RECAP | |||||||||||
| 2026-01-04 | @ | Penguins3,Red Wings2 | RECAP | |||||||||||
| 2026-01-05 | @ | Penguins1,Blue Jackets3 | RECAP | |||||||||||
| 2026-01-09 | @ | Devils1,Penguins0 | RECAP | |||||||||||
| 2026-01-11 | @ | Flames0,Penguins3 | RECAP | |||||||||||
| 2026-01-12 | @ | Penguins2,Bruins5 | RECAP | |||||||||||
| 2026-01-14 | @ | Lightning2,Penguins0 | RECAP | |||||||||||
| 2026-01-16 | @ | Flyers2,Penguins0 | RECAP | |||||||||||
| 2026-01-18 | @ | Blue Jackets2,Penguins3 (OT) | RECAP | |||||||||||
| 2026-01-20 | @ | Penguins3,Kraken1 | RECAP | |||||||||||
| 2026-01-22 | @ | Penguins5,Flames1 | RECAP | |||||||||||
| 2026-01-23 | @ | Penguins4,Oilers1 | RECAP | |||||||||||
| 2026-01-26 | @ | Penguins5,Canucks6 | RECAP | |||||||||||
| 2026-01-30 | @ | Blackhawks3,Penguins1 | RECAP | |||||||||||
| 2026-02-01 | @ | Rangers5,Penguins3 | RECAP | |||||||||||
| 2026-02-03 | @ | Senators4,Penguins5 | RECAP | |||||||||||
| 2026-02-04 | @ | Penguins2,Islanders0 | RECAP | |||||||||||
| 2026-02-06 | @ | Penguins2,Sabres4 | RECAP | |||||||||||
| 2026-02-27 | @ | Devils2,Penguins4 | RECAP | |||||||||||
| 2026-03-01 | @ | Penguins4,Rangers2 | RECAP | |||||||||||
| 2026-03-02 | @ | Golden Knights2,Penguins1 | RECAP | |||||||||||
| 2026-03-04 | @ | Penguins4,Bruins5 (OT) | RECAP | |||||||||||
| 2026-03-06 | @ | Sabres4,Penguins6 | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | Flyers1,Penguins2 | RECAP | |||||||||||
| 2026-03-09 | @ | Bruins8,Penguins6 | RECAP | |||||||||||
| 2026-03-11 | @ | Penguins3,Hurricanes4 | RECAP | |||||||||||
| 2026-03-13 | @ | Penguins5,Golden Knights4 (OT) | RECAP | |||||||||||
| 2026-03-15 | @ | Penguins0,Mammoth2 | RECAP | |||||||||||
| 2026-03-17 | @ | Penguins5,Avalanche1 | RECAP | |||||||||||
| 2026-03-19 | @ | Penguins2,Hurricanes6 | RECAP | |||||||||||
| 2026-03-22 | @ | Jets0,Penguins3 | RECAP | |||||||||||
| 2026-03-23 | @ | Hurricanes4,Penguins3 (OT) | RECAP | |||||||||||
| 2026-03-25 | @ | Avalanche3,Penguins4 (OT) | RECAP | |||||||||||
| 2026-03-27 | @ | Penguins1,Senators3 | RECAP | |||||||||||
| 2026-03-29 | @ | Stars3,Penguins2 (SO) | RECAP | |||||||||||
| 2026-03-31 | @ | Penguins5,Islanders4 (OT) | RECAP | |||||||||||
| 2026-04-01 | @ | Red Wings0,Penguins1 | RECAP | |||||||||||
| 2026-04-03 | @ | Penguins1,Lightning3 | RECAP | |||||||||||
| 2026-04-05 | @ | Panthers1,Penguins2 (SO) | RECAP | |||||||||||
| 2026-04-06 | @ | Panthers1,Penguins2 | RECAP | |||||||||||
| 2026-04-10 | @ | |||||||||||||
| 2026-04-12 | @ | |||||||||||||
| 2026-04-13 | @ | |||||||||||||
| 2026-04-15 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 95,625,000$ | 0$ | 95,204,310$ | -125,000$ |
| 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 | 225595 | 191459 | 75890 | 153353 | 37616 |
| Attendance PCT | 94.00% | 95.73% | 94.86% | 95.85% | 94.04% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 1 | 17098 - 94.99% | 1,561,957$ | 62,478,275$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 95,625,000$ | 95,625,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 90,668,459$ | 498,047$ | 89,725,793$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 1,561,957$ | 11 | 503,255$ | 5,535,805$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 5,535,805$ | 95,625,000$ | -9,102,001$ | -13,075,849$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
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| 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) |
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| 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. |
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| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 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 | |||||
| Melker Thelin | 2023 | 131 | |||
| Nathan Aspinall | 2024 | 180 | |||
| Nikita Yevseyev | 2022 | 217 | |||
| 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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