|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Full Scoreboard »» |
| Washington Capitals 6-4-0, 12pts · 5th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kirill Kaprizov | 0 | LW/RW | 99.00 | 63 | 33 | 84 | 90 | 76 | 93 | 83 | 84 | 55 | 84 | 92 | 57 | 88 | 73 | 71 | 0 | 46 | 92 | 28 | 9,500,000$/4yrs | |||
Alex Ovechkin | 0 | LW | 99.00 | 78 | 34 | 91 | 80 | 94 | 87 | 87 | 78 | 55 | 74 | 87 | 58 | 82 | 93 | 99 | 0 | 46 | 89 | 40 | 6,500,000$/1yrs | |||
Jake Guentzel | 0 | LW | 100.00 | 61 | 32 | 89 | 80 | 70 | 89 | 88 | 80 | 73 | 80 | 85 | 60 | 83 | 77 | 76 | 0 | 46 | 88 | 31 | 9,000,000$/5yrs | |||
Jason Robertson | 0 | LW | 100.00 | 66 | 33 | 91 | 81 | 81 | 86 | 90 | 76 | 59 | 80 | 80 | 59 | 78 | 68 | 68 | 0 | 46 | 86 | 26 | 8,000,000$/5yrs | |||
Dylan Strome | 0 | C | 100.00 | 56 | 33 | 88 | 78 | 81 | 85 | 90 | 75 | 88 | 79 | 77 | 62 | 76 | 73 | 71 | 0 | 46 | 84 | 28 | 5,000,000$/4yrs | |||
Dylan Holloway | 0 | C/LW/RW | 100.00 | 81 | 35 | 88 | 71 | 80 | 81 | 83 | 68 | 61 | 70 | 73 | 63 | 71 | 64 | 63 | 0 | 46 | 80 | 24 | 1,000,000$/1yrs | |||
Matvei Michkov | 0 | C/RW | 100.00 | 59 | 32 | 80 | 78 | 66 | 84 | 77 | 71 | 60 | 75 | 76 | 51 | 73 | 59 | 57 | 0 | 46 | 80 | 20 | 950,000$/2yrs | |||
David Perron | 0 | LW/RW | 100.00 | 74 | 35 | 83 | 65 | 77 | 81 | 83 | 68 | 60 | 69 | 69 | 58 | 68 | 87 | 86 | 0 | 46 | 79 | 37 | 2,000,000$/2yrs | |||
Jordan Staal | 0 | C/LW | 100.00 | 77 | 34 | 86 | 61 | 89 | 81 | 89 | 64 | 91 | 67 | 64 | 75 | 64 | 87 | 99 | 0 | 46 | 79 | 37 | 3,000,000$/2yrs | |||
Robby Fabbri | 0 | C/LW | 100.00 | 70 | 32 | 84 | 63 | 71 | 79 | 82 | 64 | 75 | 63 | 70 | 61 | 67 | 74 | 72 | 0 | 46 | 76 | 29 | 1,255,000$/1yrs | |||
Michael McCarron | 0 | C/LW/RW | 100.00 | 79 | 66 | 53 | 57 | 95 | 78 | 87 | 60 | 84 | 60 | 62 | 78 | 61 | 76 | 71 | 0 | 49 | 74 | 30 | 1,500,000$/3yrs | |||
Mackie Samoskevich (R) | 0 | C/RW | 100.00 | 77 | 32 | 94 | 64 | 73 | 78 | 77 | 61 | 55 | 64 | 67 | 55 | 64 | 62 | 61 | 0 | 46 | 74 | 22 | 3,250,000$/4yrs | |||
Luke Hughes | 0 | D | 100.00 | 57 | 32 | 90 | 74 | 74 | 92 | 89 | 61 | 30 | 76 | 62 | 56 | 62 | 61 | 60 | 0 | 46 | 80 | 22 | 9,000,000$/7yrs | |||
Jake McCabe | 0 | D | 99.00 | 83 | 40 | 76 | 59 | 80 | 91 | 87 | 63 | 30 | 68 | 59 | 76 | 61 | 78 | 76 | 0 | 46 | 79 | 32 | 4,550,000$/4yrs | |||
Owen Power | 0 | D | 99.00 | 60 | 34 | 90 | 69 | 90 | 93 | 89 | 65 | 30 | 72 | 60 | 70 | 62 | 62 | 61 | 0 | 46 | 79 | 22 | 8,350,000$/7yrs | |||
Mario Ferraro | 0 | D | 100.00 | 77 | 38 | 80 | 59 | 80 | 93 | 89 | 64 | 30 | 63 | 57 | 85 | 60 | 70 | 68 | 0 | 43 | 78 | 27 | 3,250,000$/1yrs | |||
Brandon Carlo | 0 | D | 100.00 | 73 | 36 | 83 | 55 | 90 | 88 | 90 | 59 | 30 | 60 | 55 | 80 | 57 | 73 | 71 | 0 | 46 | 75 | 28 | 4,500,000$/5yrs | |||
Mike Reilly | 6 | D | 100.00 | 63 | 33 | 86 | 59 | 77 | 84 | 77 | 56 | 30 | 66 | 59 | 57 | 58 | 78 | 77 | 0 | 49 | 74 | 32 | 1,200,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.78 | 70 | 36 | 84 | 69 | 80 | 86 | 85 | 68 | 55 | 71 | 70 | 65 | 69 | 73 | 73 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jacob Markstrom | 0 | 99.00 | 81 | 95 | 81 | 87 | 89 | 84 | 89 | 92 | 91 | 92 | 89 | 85 | 89 | 0 | 40 | 92 | 35 | 7,000,000$/4yrs |
Joel Hofer | 0 | 100.00 | 74 | 82 | 75 | 76 | 85 | 76 | 86 | 91 | 82 | 92 | 86 | 67 | 71 | 0 | 49 | 85 | 25 | 3,400,000$/2yrs |
| Scratches | ||||||||||||||||||||
Yaroslav Askarov | 0 | 100.00 | 70 | 65 | 67 | 74 | 76 | 69 | 77 | 83 | 79 | 81 | 77 | 63 | 67 | 0 | 35 | 78 | 23 | 2,000,000$/2yrs |
| TEAM AVERAGE | 99.67 | 75 | 81 | 74 | 79 | 83 | 76 | 84 | 89 | 84 | 88 | 84 | 72 | 76 | 0 | 41 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Patrick Roy | 82 | 75 | 72 | 69 | 71 | 83 | 69 | CAN | 59 | 3 | 1,000,000$ |
| General Manager | Kevin Mancheron |
|---|
| 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 | Kirill Kaprizov | 0 | LW/RW | 10 | 4 | 12 | 16 | 4 | 4 | 0 | 18 | 48 | 14 | 45 | 8.33% | 1 | 23.73 | 2 | 4 | 6 | 41 | 0 | 0 | 0 | 49 | 2 | 0 | 33.33% | 36 | 0 | 0 | 0 | 0 | 1.35 | 0 | 0 | |
| 2 | Jake McCabe | 0 | D | 10 | 2 | 9 | 11 | 1 | 26 | 0 | 38 | 19 | 5 | 12 | 10.53% | 15 | 24.95 | 1 | 4 | 5 | 42 | 0 | 0 | 0 | 30 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | |
| 3 | Robby Fabbri | 0 | C/LW | 10 | 2 | 7 | 9 | 6 | 2 | 0 | 11 | 27 | 2 | 12 | 7.41% | 0 | 16.63 | 0 | 2 | 2 | 40 | 0 | 0 | 0 | 5 | 0 | 0 | 51.52% | 231 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | |
| 4 | Jason Robertson | 0 | LW | 10 | 5 | 4 | 9 | 5 | 4 | 0 | 7 | 18 | 12 | 11 | 27.78% | 2 | 13.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 37.50% | 16 | 0 | 0 | 0 | 0 | 1.31 | 0 | 0 | |
| 5 | Alex Ovechkin | 0 | LW | 10 | 2 | 4 | 6 | 1 | 6 | 0 | 22 | 51 | 16 | 31 | 3.92% | 0 | 20.19 | 0 | 2 | 2 | 31 | 0 | 0 | 0 | 21 | 0 | 0 | 58.62% | 29 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 6 | Jordan Staal | 0 | C/LW | 10 | 2 | 4 | 6 | 0 | 2 | 0 | 18 | 17 | 10 | 14 | 11.76% | 1 | 12.39 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 58.18% | 165 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | |
| 7 | Luke Hughes | 0 | D | 10 | 0 | 5 | 5 | 3 | 4 | 0 | 9 | 3 | 0 | 1 | 0.00% | 7 | 13.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | |
| 8 | Michael McCarron | 0 | C/LW/RW | 10 | 3 | 1 | 4 | 0 | 13 | 5 | 13 | 15 | 5 | 10 | 20.00% | 0 | 10.16 | 3 | 1 | 4 | 39 | 0 | 0 | 0 | 0 | 0 | 1 | 54.65% | 86 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
| 9 | Dylan Strome | 0 | C | 10 | 2 | 2 | 4 | 1 | 0 | 0 | 6 | 27 | 12 | 27 | 7.41% | 2 | 19.27 | 0 | 0 | 0 | 32 | 0 | 0 | 0 | 17 | 1 | 0 | 57.53% | 259 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 10 | Dylan Holloway | 0 | C/LW/RW | 10 | 3 | 1 | 4 | 2 | 6 | 0 | 19 | 24 | 7 | 17 | 12.50% | 0 | 19.73 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 43 | 0 | 1 | 35.71% | 98 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 11 | Jake Guentzel | 0 | LW | 10 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 33 | 10 | 18 | 9.09% | 1 | 11.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 18 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 12 | Mario Ferraro | 0 | D | 10 | 0 | 3 | 3 | 3 | 35 | 5 | 16 | 11 | 2 | 17 | 0.00% | 12 | 19.13 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 13 | Matvei Michkov | 0 | C/RW | 10 | 1 | 2 | 3 | 0 | 0 | 0 | 3 | 20 | 6 | 12 | 5.00% | 0 | 12.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 14 | Owen Power | 0 | D | 10 | 1 | 1 | 2 | -1 | 4 | 0 | 3 | 23 | 5 | 10 | 4.35% | 18 | 25.80 | 1 | 1 | 2 | 42 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
| 15 | Brandon Carlo | 0 | D | 10 | 0 | 1 | 1 | 2 | 6 | 0 | 9 | 15 | 3 | 3 | 0.00% | 12 | 21.65 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | |
| 16 | Mackie Samoskevich | 0 | C/RW | 10 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 8 | 4 | 2 | 12.50% | 0 | 6.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 17 | David Perron | 0 | LW/RW | 10 | 0 | 0 | 0 | 0 | 8 | 0 | 1 | 7 | 3 | 5 | 0.00% | 0 | 6.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 18 | Mike Reilly | 6 | D | 4 | 0 | 0 | 0 | 2 | 5 | 5 | 6 | 0 | 0 | 2 | 0.00% | 3 | 15.43 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 174 | 31 | 56 | 87 | 29 | 125 | 15 | 202 | 366 | 116 | 249 | 8.47% | 74 | 16.26 | 7 | 14 | 21 | 362 | 0 | 0 | 0 | 266 | 6 | 2 | 51.88% | 958 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | 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 | Jacob Markstrom | 8 | 3 | 4 | 1 | 0.903 | 3.25 | 443 | 0 | 0 | 24 | 247 | 0 | 1 | 1 | 0.000 | 0 | 8 | 3 | 0 | 2 | 0 | |
| 2 | Joel Hofer | 3 | 1 | 0 | 0 | 0.929 | 1.86 | 129 | 2 | 0 | 4 | 56 | 0 | 1 | 0 | 0.000 | 0 | 1 | 9 | 0 | 0 | 0 | |
| Team Total or Average | 11 | 4 | 4 | 1 | 0.908 | 2.94 | 572 | 2 | 0 | 28 | 303 | 0 | 2 | 1 | 0.000 | 0 | 9 | 12 | 0 | 2 | 0 |
| Projected Total Cap Hit | 94,029,212$ |
| Projected Cap Space | 1,470,788$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 10,618,542$ |
| Players In Salary Cap | 21 |
| LTIR Players | 0 |
| Capitals Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Ovechkin ![]() | LW | 40 | 6,500,000$ | 6,500,000$ | UFA | ||||||
Brandon Carlo ![]() | D | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||
David Perron ![]() | LW/RW | 37 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Dylan Holloway | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Dylan Strome ![]() | C | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
| Jacob Markstrom | G | 35 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Jake Guentzel ![]() | LW | 31 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||
Jake McCabe ![]() | D | 32 | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | UFA | |||
Jason Robertson ![]() | LW | 26 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Joel Hofer ![]() | G | 25 | 3,400,000$ | 3,400,000$ | 3,400,000$ | ||||||
Jordan Staal ![]() | C/LW | 37 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Kirill Kaprizov ![]() | LW/RW | 28 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Luke Hughes ![]() | D | 22 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | |
Mackie Samoskevich ![]() | C/RW | 22 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||
Mario Ferraro ![]() | D | 27 | 3,250,000$ | 3,250,000$ | |||||||
Matvei Michkov | C/RW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Michael McCarron ![]() | C/LW/RW | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Mike Reilly | D | 32 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Owen Power ![]() | D | 22 | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | UFA |
Robby Fabbri ![]() | C/LW | 29 | 1,255,000$ | 1,255,000$ | UFA | ||||||
Yaroslav Askarov ![]() | G | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Alexeyev | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Alexander Nylander | RW | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Anton Lundmark | LW/RW | 24 | 975,000$ | 975,000$ | RFA | ||||||
Anton Malmstrom | D | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
Blake McLaughlin | LW | 25 | 900,000$ | 900,000$ | |||||||
Butrus Ghafari | D | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Carson Bantle | LW | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Carson Focht | C | 25 | 800,000$ | 800,000$ | |||||||
Chase Stillman | RW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Cole McWard | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Corey Andonovski | RW | 26 | 800,000$ | 800,000$ | |||||||
Dmitri Semykin | D | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
Dom DiVincentiis | G | 21 | 858,333$ | 858,333$ | RFA | ||||||
Filip Larsson | G | 27 | 900,000$ | 900,000$ | |||||||
Ivan Ivan | C | 23 | 845,000$ | 845,000$ | RFA | ||||||
Jaydon Dureau | LW | 24 | 800,000$ | 800,000$ | RFA | ||||||
Jimmy Schuldt | D | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Joakim Kemell | RW | 21 | 918,333$ | 918,333$ | RFA | ||||||
Juha Jaaska | LW/RW | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Julien Gauthier | RW | 28 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | UFA | ||||
Justin Robidas | C | 22 | 825,000$ | 825,000$ | RFA | ||||||
Kevin Connauton | D | 35 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Luke Krys | D | 25 | 800,000$ | 800,000$ | RFA | ||||||
Martin Pospisil | RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Mathias Laferriere | RW | 25 | 900,000$ | 900,000$ | |||||||
Max Comtois | C/LW | 26 | 0$ | ||||||||
Maxence Guenette | D | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
Mikko Kokkonen | D | 24 | 800,000$ | 800,000$ | RFA | ||||||
Nico Daws | G | 24 | 1,100,000$ | 1,100,000$ | RFA | ||||||
Noel Gunler | LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Ondrej Pavel | C/LW/RW | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Pavol Regenda | LW/RW | 25 | 950,000$ | 950,000$ | |||||||
Ronnie Attard | D | 26 | 950,000$ | 950,000$ | |||||||
Sam Morton | LW | 26 | 850,000$ | 850,000$ | 850,000$ | ||||||
William Lagesson | D | 29 | 800,000$ | 800,000$ | 800,000$ | UFA |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
| |||||
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
| ||||||
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| 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 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 34 | 10 | 12 | 12 | 0 | 35 | 6 | 9 | 19 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 24 | 17 | 23 | 7 | 12 | 6 | 66.7% | 14.7% | 91.4% | 106.1 | LUCKY | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 42 | 18 | 16 | 8 | 0 | 18 | 4 | 10 | 19 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 23 | 16 | 24 | 7 | 12 | 5 | 66.7% | 7.1% | 94.4% | 101.6 | DULL | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 6 | 12 | 8 | 0 | 33 | 9 | 20 | 27 | 3 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 25 | 17 | 23 | 6 | 11 | 5 | 0.0% | 0.0% | 90.9% | 90.9 | Unlucky | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 30 | 13 | 11 | 6 | 0 | 34 | 6 | 14 | 23 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 21 | 13 | 24 | 7 | 13 | 6 | 33.3% | 10.0% | 82.4% | 92.4 | FUN | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 35 | 15 | 13 | 7 | 0 | 40 | 6 | 14 | 22 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 24 | 15 | 22 | 7 | 12 | 6 | 66.7% | 11.4% | 92.5% | 103.9 | LUCKY | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 45 | 19 | 15 | 11 | 0 | 20 | 9 | 8 | 24 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 25 | 18 | 22 | 6 | 11 | 5 | 33.3% | 4.4% | 85.0% | 89.4 | Unlucky | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 4 | 0 | 0 | 43 | 13 | 6 | 24 | 0 | 30 | 8 | 8 | 19 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 23 | 15 | 24 | 7 | 11 | 6 | 75.0% | 9.3% | 93.3% | 102.6 | LUCKY | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 33 | 8 | 9 | 16 | 0 | 33 | 9 | 26 | 23 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 22 | 15 | 23 | 7 | 13 | 6 | 40.0% | 6.1% | 87.9% | 93.9 | Unlucky | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 2 | 0 | 35 | 12 | 12 | 11 | 0 | 29 | 10 | 14 | 20 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 22 | 15 | 25 | 6 | 12 | 6 | 80.0% | 14.3% | 93.1% | 107.4 | LUCKY | |
| 10 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 2 | 1 | 48 | 13 | 11 | 21 | 3 | 30 | 13 | 6 | 18 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 27 | 20 | 23 | 7 | 13 | 7 | 66.7% | 6.3% | 93.3% | 99.6 | DULL | |
| _Vs Division | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.333 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 101 | 32 | 37 | 32 | 0 | 84 | 22 | 56 | 69 | 12 | 1 | 8.33% | 17 | 3 | 82.35% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 71 | 49 | 71 | 21 | 37 | 18 | 44.4% | 5.0% | 90.5% | 95.4 | Unlucky | |
| _Vs Conference | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 16 | 16 | 0 | 6 | 0.500 | 16 | 32 | 48 | 0 | 0 | 5 | 9 | 2 | 0 | 223 | 74 | 70 | 79 | 0 | 169 | 45 | 81 | 131 | 26 | 4 | 15.38% | 27 | 6 | 77.78% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 144 | 100 | 142 | 42 | 73 | 37 | 54.5% | 7.2% | 90.5% | 97.7 | Unlucky | |
| _Since Last GM Reset | 10 | 5 | 4 | 0 | 1 | 0 | 0 | 0 | 31 | 29 | 2 | 12 | 0.600 | 31 | 58 | 89 | 0 | 0 | 13 | 10 | 7 | 1 | 371 | 127 | 117 | 124 | 3 | 302 | 80 | 129 | 214 | 43 | 7 | 16.28% | 48 | 11 | 77.08% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 240 | 165 | 238 | 71 | 125 | 63 | 57.1% | 8.4% | 90.4% | 98.8 | Unlucky | |
| Total | 10 | 5 | 4 | 0 | 1 | 0 | 0 | 0 | 31 | 29 | 2 | 12 | 0.600 | 31 | 58 | 89 | 0 | 0 | 13 | 10 | 7 | 1 | 371 | 127 | 117 | 124 | 3 | 302 | 80 | 129 | 214 | 43 | 7 | 16.28% | 48 | 11 | 77.08% | 0 | 228 | 410 | 55.61% | 186 | 381 | 48.82% | 83 | 162 | 51.23% | 240 | 165 | 238 | 71 | 125 | 63 | 57.1% | 8.4% | 90.4% | 98.8 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 410 |
| Neutral Zone Start | 162 |
| Defensive Zone Start | 381 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 497 |
| Faceoffs Lost | 456 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.7 | 9.57 |
| 2nd Period | 24.4 | 20.31 |
| 3rd Period | 36.8 | 30.68 |
| Overtime | 37.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.3 | 0.64 |
| 2nd Period | 2.3 | 1.65 |
| 3rd Period | 3.0 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 24 |
|---|---|
| PP Goal | 7 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 4 | 2 |
| Lost | 2 | 2 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 43 |
|---|---|
| PP Goal | 7 |
| PK Attempt | 48 |
| PK Goal Against | 11 |
| Home | |
|---|---|
| Shots For | 37.1 |
| Shots Against | 30.2 |
| Goals For | 3.1 |
| Goals Against | 2.9 |
| Hits | 21.4 |
| Shots Blocked | 8.0 |
| Pim | 12.9 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,205,000$ | 0$ | 94,029,212$ | 1,295,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Capital One Arena | |
| City | Washington | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 33691 | 27888 | 11553 | 22934 | 5722 |
| Attendance PCT | 93.59% | 92.96% | 96.28% | 95.56% | 95.37% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 35 | 16965 - 94.25% | 1,552,305$ | 9,313,831$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 94,205,000$ | 94,205,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 10,733,118$ | 490,651$ | 10,618,542$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 54,330,681$ | 170 | 495,859$ | 84,296,030$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 87,178,266$ | 94,205,000$ | 27,377,017$ | -5,470,568$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| 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 |
|---|---|---|---|---|---|
| Aiden Foster | 2025 | 150 | |||
| Albin Eriksson | 6.5 - 6.0 | ||||
| Ales Cech | 2024 | 173 | |||
| Alexander Weiermair | 2025 | 209 | |||
| Andrei Buyalsky | 2021 | 109 | |||
| Ashton Schultz | 2025 | 184 | |||
| Austin Moline | 2024 | 212 | |||
| Austin Roest | 2023 | 161 | |||
| Bryan Thomson | 2020 | 207 | |||
| Bryce Brodzinski | 2019 | 205 | |||
| Cole Jordan | 2021 | 55 | |||
| Denis Gabdrakhmanov | 2024 | 197 | |||
| Eric Jamieson | 2024 | 167 | |||
| Grant Silianoff | 2019 | 193 | |||
| Gustav Karlsson | 2022 | 159 | |||
| Harrison Blaisdell | 2019 | 48 | |||
| Hayden Fowler | 2020 | 192 | |||
| Ivan Didkovsky | 2020 | 167 | |||
| Jack Smith | |||||
| Jack Sparkes | 2022 | 209 | |||
| Jakub Kos | 2021 | 186 | |||
| Jakub Milota | 2024 | 115 | |||
| Jeremy Langlois | 2022 | 97 | |||
| Joel Ratkovic-Berndtsson | 2022 | 202 | |||
| Kenny Connors | 2022 | 121 | |||
| Kevin Reidler | 2022 | 180 | |||
| Kyle Jackson | 2022 | 200 | |||
| Matteo Mann | 2023 | 193 | |||
| Maxim Mayorov | 2022 | 179 | |||
| Mikhail Gulyayev | 2023 | 23 | |||
| Nicholas Kempf | 2024 | 111 | |||
| Oiva Keskinen | 2023 | 199 | |||
| Oliver Tarnstrom | 2020 | 148 | |||
| Pasquale Zito | 2021 | 129 | |||
| Petr Sikora | 2024 | 163 | |||
| Ryan Walsh | 2023 | 153 | |||
| Rylan Fellinger | 2025 | 207 | |||
| Sacha Boisvert | 2024 | 16 | |||
| Sam Stange | 2020 | 200 | |||
| Sean Keohane | 2023 | 200 | |||
| Sebastian Bradshaw | 2023 | 203 | |||
| Semyon Chistyakov | 2019 | 134 | 3.5 - 5.0 | ||
| Simon Knak | 2020 | 137 | |||
| Theo Rochette | 2020 | 98 | |||
| Theo Wallberg | 2022 | 193 | |||
| Ty Henry | 2024 | 175 | |||
| Visa Vedenpaa | 2023 | 194 | |||
| Vladimir Grudinin | 2022 | 59 | |||
| Vladimir Nikitin | 2023 | 224 | |||
| Vyacheslav Buteyets | 2022 | 212 | |||
| Warren Clark | 2023 | 178 | |||
| Yegor Klimovich | 2023 | 207 | |||
| Yegor Rimashevskiy | 2023 | 163 | |||
| Yegor Spiridonov | 2019 | 96 | 6.5 - 5.5 |
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||

