| Ottawa Senators 12-7-4, 28pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Roope Hintz | 0 | C/LW | 100.00 | 62 | 34 | 88 | 77 | 86 | 84 | 89 | 74 | 82 | 76 | 79 | 66 | 76 | 73 | 72 | 0 | 46 | 84 | 29 | 8,250,000$/6yrs | |||
Drake Batherson | 0 | RW | 100.00 | 74 | 33 | 85 | 77 | 81 | 86 | 90 | 74 | 60 | 76 | 76 | 59 | 75 | 70 | 69 | 0 | 46 | 84 | 27 | 6,650,000$/3yrs | |||
Mathew Barzal | 0 | C/RW | 100.00 | 64 | 33 | 88 | 79 | 75 | 90 | 82 | 73 | 61 | 82 | 72 | 68 | 73 | 72 | 71 | 0 | 46 | 84 | 28 | 9,150,000$/6yrs | |||
Matt Boldy | 0 | LW/RW | 100.00 | 62 | 35 | 78 | 79 | 80 | 89 | 89 | 75 | 61 | 79 | 78 | 64 | 76 | 65 | 63 | 0 | 46 | 84 | 24 | 7,000,000$/5yrs | |||
Jonathan Drouin | 0 | LW | 100.00 | 60 | 33 | 90 | 72 | 76 | 86 | 84 | 72 | 61 | 77 | 71 | 57 | 71 | 76 | 75 | 0 | 46 | 81 | 30 | 4,500,000$/2yrs | |||
Quinton Byfield | 0 | C | 100.00 | 67 | 34 | 81 | 72 | 90 | 85 | 90 | 71 | 76 | 73 | 72 | 61 | 72 | 63 | 61 | 0 | 46 | 80 | 23 | 3,750,000$/4yrs | |||
Aliaksei Protas | 0 | C | 100.00 | 59 | 34 | 93 | 71 | 93 | 81 | 89 | 68 | 59 | 72 | 70 | 68 | 69 | 66 | 65 | 0 | 46 | 79 | 24 | 3,375,000$/4yrs | |||
Eeli Tolvanen | 0 | LW/RW | 100.00 | 87 | 34 | 89 | 68 | 72 | 81 | 90 | 65 | 59 | 65 | 71 | 70 | 68 | 69 | 68 | 0 | 46 | 78 | 26 | 4,000,000$/3yrs | |||
Connor McMichael | 0 | C | 100.00 | 61 | 34 | 82 | 72 | 71 | 83 | 90 | 67 | 75 | 68 | 73 | 66 | 70 | 66 | 64 | 0 | 46 | 78 | 24 | 2,000,000$/1yrs | |||
Matty Beniers | 0 | C | 99.00 | 62 | 32 | 92 | 69 | 72 | 86 | 90 | 66 | 84 | 67 | 69 | 65 | 68 | 62 | 61 | 0 | 46 | 77 | 23 | 3,750,000$/6yrs | |||
Tristen Nielsen | 0 | C | 100.00 | 72 | 40 | 71 | 56 | 72 | 66 | 70 | 63 | 44 | 56 | 57 | 66 | 57 | 66 | 63 | 0 | 49 | 70 | 25 | 800,000$/2yrs | |||
Sam O'Reilly (R) | 0 | C/RW | 100.00 | 68 | 39 | 78 | 60 | 75 | 65 | 88 | 55 | 44 | 58 | 58 | 63 | 58 | 56 | 53 | 0 | 49 | 68 | 19 | 931,945$/3yrs | |||
Evan Bouchard | 75 | D | 100.00 | 63 | 33 | 86 | 82 | 79 | 95 | 90 | 69 | 30 | 85 | 69 | 66 | 69 | 68 | 67 | 0 | 46 | 87 | 26 | 8,000,000$/6yrs | |||
Neal Pionk | 0 | D | 100.00 | 81 | 34 | 76 | 65 | 72 | 92 | 88 | 64 | 30 | 72 | 62 | 73 | 63 | 75 | 73 | 0 | 46 | 81 | 30 | 5,875,000$/1yrs | |||
Bowen Byram | 0 | D | 100.00 | 69 | 34 | 78 | 63 | 75 | 92 | 89 | 62 | 30 | 69 | 63 | 67 | 62 | 65 | 62 | 0 | 46 | 77 | 24 | 4,200,000$/1yrs | |||
Kevin Bahl | 0 | D | 100.00 | 76 | 39 | 74 | 59 | 94 | 88 | 89 | 59 | 30 | 62 | 54 | 75 | 57 | 66 | 64 | 0 | 49 | 75 | 25 | 1,850,000$/6yrs | |||
Brandt Clarke | 55 | D | 100.00 | 58 | 32 | 79 | 66 | 75 | 82 | 80 | 59 | 30 | 70 | 59 | 61 | 59 | 62 | 60 | 0 | 46 | 75 | 22 | 863,333$/1yrs | |||
Jake Bean | 0 | D | 100.00 | 59 | 33 | 89 | 55 | 77 | 82 | 86 | 54 | 30 | 58 | 56 | 64 | 55 | 70 | 68 | 0 | 44 | 70 | 27 | 2,500,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.94 | 67 | 34 | 83 | 69 | 79 | 84 | 87 | 66 | 53 | 70 | 67 | 66 | 67 | 67 | 66 | 0 | 46 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Stuart Skinner | 0 | 99.00 | 85 | 95 | 83 | 85 | 88 | 80 | 89 | 94 | 87 | 93 | 89 | 70 | 74 | 0 | 52 | 90 | 27 | 2,600,000$/1yrs |
Carter Hart | 0 | 98.00 | 73 | 69 | 69 | 74 | 79 | 72 | 80 | 82 | 78 | 84 | 80 | 70 | 74 | 0 | 34 | 80 | 27 | 2,000,000$/2yrs |
| Scratches | ||||||||||||||||||||
Ilya Samsonov | 0 | 100.00 | 75 | 85 | 76 | 87 | 80 | 73 | 82 | 86 | 82 | 87 | 82 | 72 | 76 | 0 | 47 | 85 | 28 | 4,500,000$/2yrs |
| TEAM AVERAGE | 99.00 | 78 | 83 | 76 | 82 | 82 | 75 | 84 | 87 | 82 | 88 | 84 | 71 | 75 | 0 | 44 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Martin St. Louis | 81 | 75 | 75 | 84 | 70 | 76 | 68 | CAN | 51 | 4 | 1,000,000$ |
| General Manager | Jean-Philippe Ouellet |
|---|
| 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 | Mathew Barzal | 0 | C/RW | 23 | 7 | 12 | 19 | -1 | 4 | 0 | 19 | 73 | 17 | 52 | 9.59% | 4 | 17.14 | 2 | 5 | 7 | 74 | 0 | 0 | 0 | 1 | 1 | 1 | 47.73% | 44 | 0 | 0 | 0 | 0 | 0.96 | 1 | 3 | |
| 2 | Matty Beniers | 0 | C | 23 | 4 | 15 | 19 | 2 | 4 | 0 | 21 | 48 | 12 | 39 | 8.33% | 4 | 19.52 | 1 | 3 | 4 | 76 | 0 | 0 | 0 | 56 | 0 | 1 | 54.50% | 633 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
| 3 | Roope Hintz | 0 | C/LW | 23 | 6 | 12 | 18 | 2 | 6 | 0 | 17 | 81 | 22 | 63 | 7.41% | 3 | 19.21 | 1 | 3 | 4 | 73 | 0 | 0 | 0 | 62 | 2 | 0 | 49.49% | 592 | 0 | 0 | 0 | 0 | 0.81 | 0 | 2 | |
| 4 | Jonathan Drouin | 0 | LW | 23 | 7 | 11 | 18 | 2 | 2 | 0 | 12 | 62 | 13 | 32 | 11.29% | 3 | 17.04 | 0 | 3 | 3 | 73 | 0 | 0 | 0 | 9 | 1 | 1 | 50.00% | 24 | 0 | 0 | 0 | 0 | 0.92 | 1 | 2 | |
| 5 | Drake Batherson | 0 | RW | 23 | 10 | 8 | 18 | -1 | 10 | 0 | 44 | 72 | 17 | 48 | 13.89% | 3 | 17.21 | 2 | 2 | 4 | 78 | 0 | 0 | 0 | 0 | 1 | 0 | 29.63% | 27 | 0 | 0 | 0 | 0 | 0.91 | 0 | 3 | |
| 6 | Matt Boldy | 0 | LW/RW | 23 | 8 | 10 | 18 | 1 | 2 | 0 | 32 | 78 | 16 | 46 | 10.26% | 5 | 17.19 | 2 | 3 | 5 | 74 | 0 | 0 | 0 | 2 | 0 | 1 | 34.38% | 32 | 0 | 0 | 0 | 0 | 0.91 | 0 | 3 | |
| 7 | Evan Bouchard | 75 | D | 23 | 3 | 11 | 14 | -9 | 4 | 0 | 11 | 48 | 14 | 27 | 6.25% | 23 | 21.56 | 2 | 3 | 5 | 76 | 0 | 0 | 0 | 28 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
| 8 | Neal Pionk | 0 | D | 23 | 1 | 8 | 9 | 7 | 24 | 0 | 76 | 25 | 7 | 10 | 4.00% | 33 | 20.44 | 0 | 0 | 0 | 16 | 0 | 1 | 1 | 51 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 9 | Quinton Byfield | 0 | C | 23 | 5 | 4 | 9 | -1 | 6 | 0 | 25 | 48 | 16 | 42 | 10.42% | 3 | 13.56 | 1 | 1 | 2 | 14 | 0 | 0 | 0 | 5 | 1 | 0 | 44.55% | 413 | 0 | 0 | 1 | 0 | 0.58 | 0 | 1 | |
| 10 | Brandt Clarke | 55 | D | 23 | 5 | 4 | 9 | 0 | 16 | 0 | 21 | 17 | 7 | 13 | 29.41% | 30 | 18.38 | 3 | 0 | 3 | 61 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 11 | Aliaksei Protas | 0 | C | 23 | 4 | 4 | 8 | -1 | 0 | 0 | 8 | 54 | 17 | 29 | 7.41% | 5 | 17.63 | 2 | 2 | 4 | 70 | 0 | 0 | 0 | 55 | 4 | 0 | 46.15% | 26 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 12 | Jake Bean | 0 | D | 21 | 2 | 4 | 6 | 1 | 6 | 0 | 25 | 10 | 1 | 4 | 20.00% | 24 | 16.18 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 40 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 13 | Bowen Byram | 0 | D | 23 | 0 | 5 | 5 | 8 | 22 | 0 | 26 | 14 | 4 | 4 | 0.00% | 21 | 19.33 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 14 | Connor McMichael | 0 | C | 23 | 1 | 4 | 5 | -2 | 6 | 0 | 11 | 50 | 10 | 44 | 2.00% | 1 | 11.65 | 0 | 3 | 3 | 71 | 0 | 0 | 0 | 0 | 0 | 0 | 45.81% | 227 | 0 | 0 | 1 | 0 | 0.37 | 0 | 0 | |
| 15 | Eeli Tolvanen | 0 | LW/RW | 23 | 1 | 3 | 4 | 1 | 12 | 0 | 41 | 38 | 12 | 25 | 2.63% | 5 | 11.55 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 56 | 0 | 0 | 40.00% | 25 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 16 | Kevin Bahl | 0 | D | 23 | 1 | 2 | 3 | -9 | 41 | 5 | 60 | 16 | 6 | 10 | 6.25% | 27 | 19.19 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| 17 | Sam O'Reilly | 0 | C/RW | 23 | 0 | 1 | 1 | -3 | 6 | 0 | 25 | 27 | 6 | 12 | 0.00% | 4 | 11.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 18 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | |
| 18 | Tristen Nielsen | 0 | C | 23 | 0 | 0 | 0 | -2 | 2 | 0 | 26 | 18 | 1 | 11 | 0.00% | 2 | 8.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 412 | 65 | 118 | 183 | -5 | 173 | 5 | 500 | 779 | 198 | 511 | 8.34% | 200 | 16.49 | 16 | 28 | 44 | 780 | 1 | 2 | 3 | 507 | 11 | 6 | 48.87% | 2071 | 0 | 0 | 2 | 0 | 0.54 | 2 | 14 |
| 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 | Stuart Skinner | 15 | 7 | 5 | 3 | 0.904 | 3.04 | 908 | 0 | 0 | 46 | 479 | 0 | 0 | 0 | 0.667 | 3 | 15 | 8 | 1 | 0 | 2 | |
| 2 | Ilya Samsonov | 5 | 3 | 2 | 0 | 0.914 | 2.61 | 299 | 2 | 0 | 13 | 151 | 0 | 0 | 1 | 0.000 | 0 | 5 | 12 | 1 | 0 | 1 | |
| 3 | Carter Hart | 3 | 2 | 0 | 1 | 0.920 | 2.20 | 191 | 0 | 0 | 7 | 88 | 0 | 0 | 0 | 0.818 | 11 | 3 | 3 | 1 | 0 | 0 | |
| Team Total or Average | 23 | 12 | 7 | 4 | 0.908 | 2.83 | 1399 | 2 | 0 | 66 | 718 | 0 | 0 | 1 | 0.786 | 14 | 23 | 23 | 3 | 0 | 3 |
| Projected Total Cap Hit | 82,528,254$ |
| Projected Cap Space | 12,971,746$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 22,276,275$ |
| Players In Salary Cap | 21 |
| LTIR Players | 0 |
| Senators Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aliaksei Protas ![]() | C | 24 | 3,375,000$ | 3,375,000$ | 3,375,000$ | 3,375,000$ | 3,375,000$ | ||||
Bowen Byram ![]() | D | 24 | 4,200,000$ | 4,200,000$ | RFA | ||||||
Brandt Clarke | D | 22 | 863,333$ | 863,333$ | RFA | ||||||
| Carter Hart | G | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Connor McMichael ![]() | C | 24 | 2,000,000$ | 2,000,000$ | RFA | ||||||
Drake Batherson ![]() | RW | 27 | 6,650,000$ | 6,650,000$ | 6,650,000$ | 6,650,000$ | UFA | ||||
Eeli Tolvanen ![]() | LW/RW | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Evan Bouchard ![]() | D | 26 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |
Ilya Samsonov ![]() | G | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Jake Bean ![]() | D | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Jonathan Drouin ![]() | LW | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Kevin Bahl ![]() | D | 25 | 1,850,000$ | 1,850,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | UFA | |
Mathew Barzal ![]() | C/RW | 28 | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | UFA | |
Matt Boldy ![]() | LW/RW | 24 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Matty Beniers ![]() | C | 23 | 3,750,000$ | 3,750,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | ||
Neal Pionk ![]() | D | 30 | 5,875,000$ | 5,875,000$ | UFA | ||||||
Quinton Byfield ![]() | C | 23 | 3,750,000$ | 3,750,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | ||||
Roope Hintz ![]() | C/LW | 29 | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA | |
Sam O'Reilly | C/RW | 19 | 931,945$ | 931,945$ | 931,945$ | 931,945$ | RFA | ||||
| Stuart Skinner | G | 27 | 2,600,000$ | 2,600,000$ | |||||||
Tristen Nielsen | C | 25 | 800,000$ | 800,000$ | 800,000$ |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Chmelevski | C/RW | 26 | 0$ | ||||||||
Alexei Toropchenko ![]() | RW | 26 | 1,700,000$ | 1,700,000$ | |||||||
Artem Guryev | D | 22 | 860,000$ | 860,000$ | RFA | ||||||
Calle Clang | G | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Chase Bradley | LW | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Danila Klimovich | RW | 22 | 833,333$ | 833,333$ | RFA | ||||||
Dillon Hamaliuk | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Dmitri Ovchinnikov | C/LW/RW | 23 | 900,000$ | 900,000$ | RFA | ||||||
Dmitri Simashev | D | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Filip Mesar | C/RW | 21 | 918,333$ | 918,333$ | RFA | ||||||
Jacob Bryson | D | 28 | 900,000$ | 900,000$ | |||||||
Jakub Stancl | LW | 20 | 835,778$ | 835,778$ | 835,778$ | 835,778$ | RFA | ||||
Jasper Weatherby | C/LW | 27 | 800,000$ | 800,000$ | |||||||
Joe Vrbetic | G | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Jonathan Aspirot | D | 26 | 800,000$ | 800,000$ | |||||||
Kyle Capobianco | D | 28 | 800,000$ | 800,000$ | |||||||
Linus Weissbach | LW | 27 | 1,000,000$ | 1,000,000$ | |||||||
Lucas Ciona | LW | 22 | 830,000$ | 830,000$ | RFA | ||||||
Marek Alscher | D | 26 | 865,000$ | 865,000$ | 865,000$ | ||||||
Mark Duarte | RW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Martin Misiak | LW/RW | 21 | 878,333$ | 878,333$ | 878,333$ | 878,333$ | RFA | ||||
Mattias Havelid | D | 21 | 905,000$ | 905,000$ | 905,000$ | 905,000$ | RFA | ||||
Matyas Sapovaliv | C | 21 | 803,334$ | 803,334$ | 803,334$ | RFA | |||||
Maxime Lajoie | D | 28 | 1,000,000$ | 1,000,000$ | |||||||
Mikhail Abramov | C | 24 | 900,000$ | 900,000$ | RFA | ||||||
Morgan Adams-Moisan | RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Nathan Legare | RW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Oskar Back | C | 25 | 825,000$ | 825,000$ | 825,000$ | ||||||
Parker Wotherspoon | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Ty Nelson | D | 21 | 867,500$ | 867,500$ | RFA | ||||||
Tyler Brennan | G | 22 | 870,000$ | 870,000$ | RFA | ||||||
Zachary Gallant | C | 26 | 800,000$ | 800,000$ | 800,000$ |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 36 | 12 | 12 | 12 | 0 | 18 | 6 | 4 | 23 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 24 | 16 | 22 | 7 | 12 | 6 | 0.0% | 2.8% | 83.3% | 86.1 | Unlucky | |
| 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 1 | 0 | 2 | 0 | 3 | 0 | 55 | 16 | 20 | 19 | 0 | 68 | 10 | 14 | 48 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 43 | 29 | 51 | 15 | 25 | 12 | 50.0% | 9.1% | 91.2% | 100.3 | LUCKY | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 34 | 7 | 17 | 10 | 0 | 23 | 9 | 6 | 15 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 24 | 16 | 22 | 7 | 13 | 7 | 100.0% | 11.8% | 95.7% | 107.4 | LUCKY | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 34 | 10 | 12 | 12 | 0 | 31 | 9 | 10 | 28 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 23 | 16 | 24 | 7 | 11 | 6 | 25.0% | 2.9% | 87.1% | 90.0 | Unlucky | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 35 | 16 | 11 | 8 | 0 | 34 | 11 | 11 | 30 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 23 | 16 | 24 | 7 | 12 | 5 | 33.3% | 8.6% | 85.3% | 93.9 | Unlucky | |
| 6 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 8 | 8 | 0 | 3 | 0.750 | 8 | 11 | 19 | 0 | 0 | 3 | 3 | 1 | 2 | 70 | 17 | 18 | 30 | 13 | 82 | 22 | 16 | 50 | 10 | 2 | 20.00% | 8 | 2 | 75.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 49 | 33 | 54 | 15 | 26 | 13 | 50.0% | 11.4% | 90.2% | 101.7 | FUN | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 35 | 9 | 7 | 19 | 0 | 31 | 12 | 6 | 13 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 26 | 18 | 21 | 7 | 12 | 6 | 100.0% | 8.6% | 96.8% | 105.3 | DULL | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 40 | 11 | 17 | 12 | 0 | 25 | 7 | 4 | 22 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 26 | 17 | 20 | 7 | 12 | 7 | 66.7% | 10.0% | 96.0% | 106.0 | LUCKY | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 27 | 10 | 5 | 12 | 0 | 21 | 6 | 6 | 19 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 25 | 18 | 21 | 7 | 12 | 6 | 75.0% | 11.1% | 95.2% | 106.3 | LUCKY | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 25 | 10 | 11 | 4 | 0 | 31 | 10 | 12 | 21 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 21 | 14 | 25 | 7 | 13 | 6 | 66.7% | 12.0% | 96.8% | 108.8 | LUCKY | |
| 11 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 14 | -4 | 3 | 0.500 | 10 | 19 | 29 | 0 | 0 | 5 | 3 | 2 | 0 | 101 | 39 | 37 | 25 | 0 | 107 | 32 | 26 | 73 | 9 | 1 | 11.11% | 12 | 4 | 66.67% | 1 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 67 | 46 | 76 | 22 | 36 | 17 | 47.4% | 9.9% | 86.9% | 96.8 | FUN | |
| 12 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 35 | 6 | 9 | 17 | 3 | 41 | 9 | 10 | 12 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 24 | 16 | 25 | 7 | 14 | 6 | 50.0% | 5.7% | 92.7% | 98.4 | DULL | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 41 | 11 | 14 | 16 | 0 | 28 | 7 | 8 | 25 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 24 | 18 | 23 | 7 | 12 | 6 | 33.3% | 2.4% | 89.3% | 91.7 | Unlucky | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 43 | 10 | 18 | 15 | 0 | 37 | 16 | 2 | 22 | 5 | 2 | 40.00% | 1 | 0 | 100.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 24 | 17 | 22 | 6 | 13 | 6 | 40.0% | 9.3% | 91.9% | 101.2 | LUCKY | |
| 15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 29 | 11 | 8 | 10 | 0 | 30 | 12 | 12 | 14 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 21 | 14 | 26 | 7 | 11 | 4 | 57.1% | 13.8% | 90.0% | 103.8 | FUN | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 45 | 15 | 19 | 11 | 0 | 29 | 4 | 4 | 28 | 4 | 2 | 50.00% | 2 | 1 | 50.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 23 | 16 | 24 | 6 | 12 | 6 | 57.1% | 13.3% | 86.2% | 99.5 | FUN | |
| 17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 31 | 14 | 9 | 8 | 6 | 22 | 7 | 12 | 22 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 25 | 17 | 25 | 8 | 13 | 6 | 50.0% | 6.5% | 86.4% | 92.8 | Unlucky | |
| 18 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 0 | 1 | 36 | 11 | 13 | 11 | 1 | 35 | 8 | 6 | 20 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 26 | 18 | 23 | 6 | 12 | 6 | 50.0% | 5.6% | 97.1% | 102.7 | DULL | |
| 19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 10 | 8 | 11 | 0 | 26 | 6 | 8 | 18 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 23 | 16 | 23 | 7 | 13 | 6 | 0.0% | 0.0% | 84.6% | 84.6 | Unlucky | |
| _Vs Division | 7 | 3 | 2 | 0 | 0 | 2 | 0 | 0 | 21 | 25 | -4 | 8 | 0.571 | 21 | 40 | 61 | 0 | 0 | 7 | 8 | 6 | 0 | 253 | 76 | 93 | 81 | 3 | 241 | 73 | 52 | 157 | 29 | 5 | 17.24% | 25 | 6 | 76.00% | 1 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 165 | 114 | 170 | 51 | 88 | 44 | 45.7% | 8.3% | 89.6% | 97.9 | Unlucky | |
| _Vs Conference | 11 | 5 | 4 | 0 | 0 | 2 | 0 | 0 | 33 | 37 | -4 | 12 | 0.545 | 33 | 62 | 95 | 1 | 0 | 10 | 14 | 9 | 0 | 377 | 115 | 141 | 118 | 3 | 366 | 103 | 83 | 250 | 42 | 9 | 21.43% | 37 | 10 | 72.97% | 1 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 256 | 176 | 268 | 82 | 140 | 69 | 47.1% | 8.8% | 89.9% | 98.6 | Unlucky | |
| _Since Last GM Reset | 23 | 10 | 7 | 0 | 1 | 2 | 1 | 2 | 66 | 69 | -3 | 28 | 0.609 | 66 | 118 | 184 | 1 | 0 | 21 | 23 | 20 | 3 | 781 | 245 | 265 | 262 | 23 | 719 | 203 | 177 | 503 | 92 | 16 | 17.39% | 83 | 16 | 80.72% | 1 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 548 | 380 | 560 | 171 | 292 | 145 | 48.5% | 8.5% | 90.4% | 98.9 | Unlucky | |
| Total | 23 | 10 | 7 | 0 | 1 | 2 | 1 | 2 | 66 | 69 | -3 | 28 | 0.609 | 66 | 118 | 184 | 1 | 0 | 21 | 23 | 20 | 3 | 781 | 245 | 265 | 262 | 23 | 719 | 203 | 177 | 503 | 92 | 16 | 17.39% | 83 | 16 | 80.72% | 1 | 426 | 880 | 48.41% | 415 | 821 | 50.55% | 171 | 348 | 49.14% | 548 | 380 | 560 | 171 | 292 | 145 | 48.5% | 8.5% | 90.4% | 98.9 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 880 |
| Neutral Zone Start | 348 |
| Defensive Zone Start | 821 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1012 |
| Faceoffs Lost | 1037 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.7 | 9.57 |
| 2nd Period | 22.2 | 20.31 |
| 3rd Period | 33.6 | 30.68 |
| Overtime | 34.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 2.9 | 2.83 |
| Even Strenght Goal | 48 |
|---|---|
| PP Goal | 16 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 8 | 4 |
| Lost | 2 | 5 |
| Overtime Lost | 1 | 3 |
| PP Attempt | 92 |
|---|---|
| PP Goal | 16 |
| PK Attempt | 83 |
| PK Goal Against | 16 |
| Home | |
|---|---|
| Shots For | 34.0 |
| Shots Against | 31.3 |
| Goals For | 2.9 |
| Goals Against | 3.0 |
| Hits | 21.9 |
| Shots Blocked | 8.8 |
| Pim | 7.7 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Senators4,Lightning1 | RECAP | |||||||||||
| 2025-10-12 | @ | Senators4,Panthers3 | RECAP | |||||||||||
| 2025-10-14 | @ | Predators1,Senators3 | RECAP | |||||||||||
| 2025-10-16 | @ | Senators2,Sabres3 (OT) | RECAP | |||||||||||
| 2025-10-17 | @ | Kraken4,Senators0 | RECAP | |||||||||||
| 2025-10-19 | @ | Islanders1,Senators4 | RECAP | |||||||||||
| 2025-10-22 | @ | Oilers1,Senators3 | RECAP | |||||||||||
| 2025-10-24 | @ | Flyers2,Senators3 | RECAP | |||||||||||
| 2025-10-26 | @ | Senators3,Capitals5 | RECAP | |||||||||||
| 2025-10-28 | @ | Bruins4,Senators5 | RECAP | |||||||||||
| 2025-10-29 | @ | Senators1,Blackhawks3 | RECAP | |||||||||||
| 2025-10-31 | @ | Flames3,Senators1 | RECAP | |||||||||||
| 2025-11-02 | @ | Senators1,Canadiens4 | RECAP | |||||||||||
| 2025-11-07 | @ | Senators1,Bruins5 | RECAP | |||||||||||
| 2025-11-09 | @ | Senators2,Flyers4 | RECAP | |||||||||||
| 2025-11-10 | @ | Mammoth1,Senators3 | RECAP | |||||||||||
| 2025-11-12 | @ | Stars4,Senators6 | RECAP | |||||||||||
| 2025-11-14 | @ | Bruins5,Senators4 (OT) | RECAP | |||||||||||
| 2025-11-16 | @ | Kings4,Senators5 (SO) | RECAP | |||||||||||
| 2025-11-21 | @ | Senators4,Ducks3 | RECAP | |||||||||||
| 2025-11-23 | @ | Senators2,Sharks3 (SO) | RECAP | |||||||||||
| 2025-11-25 | @ | Senators3,Kings4 (SO) | RECAP | |||||||||||
| 2025-11-27 | @ | Senators2,Golden Knights1 (OT) | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 82,045,278$ | 0$ | 82,528,254$ | 13,454,722$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Canadian Tire Center | |
| City | Ottawa | ||
| 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 | 61754 | 52716 | 20616 | 41688 | 10222 |
| Attendance PCT | 93.57% | 95.85% | 93.71% | 94.75% | 92.93% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 30 | 17000 - 94.44% | 1,553,680$ | 17,090,477$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 82,045,278$ | 82,045,278$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 22,541,886$ | 427,319$ | 22,276,275$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 46,610,392$ | 141 | 432,527$ | 60,986,307$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 62,924,274$ | 82,045,278$ | 40,162,976$ | 23,849,094$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 2026 | ||||||||
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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) |
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| 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 Campbell | 2020 | 205 | |||
| Basile Sansonnens | 2024 | 204 | |||
| Braden Doyle | 2019 | 170 | |||
| Brandon Kruse | 7D | ||||
| Brannon McManus | |||||
| David Noel | |||||
| Dmitry Afanasenkov | 6C | ||||
| Dylan Silverstein | 2022 | 166 | |||
| Elijah Neuenschwander | 2025 | 97 | |||
| Ethan Edwards | 2020 | 147 | |||
| Filip Nordberg | 2022 | 73 | |||
| Fyodor Avramov | 2024 | 144 | |||
| Gabriel Chiarot | 2025 | 176 | |||
| Hagen Burrows | 2024 | 125 | |||
| Ivan Zhigalov | 2022 | 137 | |||
| Jack Harvey | 2023 | 202 | |||
| Jack Hughes | 2022 | 43 | |||
| Jackson Kunz | |||||
| Jayden Perron | 2023 | 40 | |||
| Matias Mantykivi | 2019 | 201 | 6.0 - 2.5 | ||
| Matthew Mania | 2023 | 54 | |||
| Maxmilian Curran | 2024 | 172 | |||
| Milos Roman | 6.5 - 5.5 | ||||
| Nikolai Makarov | 2021 | 145 | |||
| Rasmus Larsson | 2023 | 170 | |||
| Ryerson Leenders | 2024 | 108 | |||
| Sam Laurila | 2025 | 131 | |||
| Trey Augustine | 2023 | 42 | |||
| William Moore | 2025 | 44 | |||
| Zeb Lindgren | 2025 | 134 |
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