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Full Scoreboard »» |
| Ottawa Senators 40-33-9, 89pts · 9th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matt Boldy | 0 | LW/RW | 100.00 | 63 | 35 | 80 | 82 | 80 | 89 | 90 | 77 | 72 | 79 | 82 | 68 | 79 | 67 | 65 | 0 | 52 | 86 | 25 | 7,000,000$/5yrs | |||
Roope Hintz | 0 | C/LW | 100.00 | 65 | 34 | 87 | 78 | 86 | 83 | 88 | 74 | 85 | 78 | 78 | 64 | 76 | 74 | 73 | 0 | 55 | 85 | 29 | 8,250,000$/6yrs | |||
Drake Batherson | 0 | RW | 100.00 | 76 | 33 | 87 | 78 | 81 | 85 | 90 | 76 | 61 | 79 | 77 | 58 | 77 | 72 | 70 | 0 | 55 | 85 | 27 | 6,650,000$/3yrs | |||
Aliaksei Protas | 0 | C | 100.00 | 58 | 34 | 90 | 78 | 93 | 83 | 89 | 72 | 58 | 74 | 79 | 68 | 76 | 67 | 66 | 0 | 58 | 83 | 25 | 3,375,000$/4yrs | |||
Mathew Barzal | 0 | C/RW | 100.00 | 62 | 36 | 79 | 73 | 75 | 89 | 79 | 69 | 73 | 76 | 70 | 63 | 70 | 73 | 71 | 0 | 55 | 81 | 28 | 9,150,000$/6yrs | |||
Jonathan Drouin | 0 | LW | 100.00 | 57 | 36 | 89 | 71 | 76 | 85 | 81 | 69 | 74 | 77 | 67 | 55 | 68 | 77 | 76 | 0 | 55 | 80 | 31 | 4,500,000$/2yrs | |||
Eeli Tolvanen | 0 | LW/RW | 100.00 | 87 | 34 | 89 | 69 | 72 | 80 | 90 | 65 | 60 | 66 | 71 | 70 | 68 | 70 | 69 | 0 | 55 | 79 | 26 | 4,000,000$/3yrs | |||
Connor McMichael | 0 | C | 100.00 | 60 | 34 | 83 | 73 | 71 | 83 | 90 | 68 | 73 | 71 | 72 | 65 | 70 | 67 | 65 | 0 | 55 | 79 | 25 | 2,000,000$/1yrs | |||
Matty Beniers | 0 | C | 100.00 | 61 | 32 | 92 | 69 | 72 | 86 | 90 | 66 | 84 | 70 | 68 | 66 | 67 | 64 | 63 | 0 | 55 | 77 | 23 | 3,750,000$/6yrs | |||
Emmitt Finnie (R) | 0 | C/LW | 100.00 | 75 | 32 | 96 | 68 | 67 | 83 | 73 | 63 | 59 | 66 | 70 | 66 | 66 | 59 | 58 | 0 | 41 | 77 | 20 | 821,667$/3yrs | |||
Nino Niederreiter | 0 | LW/RW | 100.00 | 76 | 34 | 90 | 62 | 86 | 79 | 90 | 62 | 60 | 66 | 67 | 56 | 65 | 81 | 80 | 0 | 55 | 76 | 33 | 4,250,000$/1yrs | |||
Bradly Nadeau (R) | 0 | LW/RW | 100.00 | 66 | 38 | 80 | 67 | 62 | 69 | 85 | 63 | 37 | 63 | 67 | 58 | 65 | 54 | 52 | 0 | 47 | 73 | 20 | 975,000$/1yrs | |||
Evan Bouchard | 75 | D | 100.00 | 59 | 33 | 87 | 81 | 79 | 94 | 90 | 68 | 30 | 84 | 67 | 67 | 68 | 69 | 68 | 0 | 55 | 86 | 26 | 8,000,000$/6yrs | |||
Neal Pionk | 0 | D | 99.00 | 77 | 35 | 79 | 62 | 72 | 92 | 87 | 63 | 30 | 69 | 63 | 74 | 63 | 76 | 74 | 0 | 55 | 79 | 30 | 5,875,000$/1yrs | |||
Bowen Byram | 0 | D | 100.00 | 66 | 33 | 83 | 65 | 75 | 92 | 90 | 61 | 30 | 70 | 64 | 67 | 62 | 66 | 64 | 0 | 52 | 78 | 24 | 4,200,000$/1yrs | |||
Kevin Bahl | 0 | D | 100.00 | 73 | 39 | 80 | 61 | 94 | 90 | 89 | 59 | 30 | 63 | 57 | 79 | 58 | 68 | 66 | 0 | 58 | 77 | 25 | 1,850,000$/6yrs | |||
Brandt Clarke | 55 | D | 100.00 | 59 | 32 | 79 | 66 | 75 | 83 | 90 | 59 | 30 | 71 | 60 | 62 | 60 | 63 | 61 | 0 | 55 | 76 | 23 | 863,333$/1yrs | |||
Parker Wotherspoon | 27 | D | 100.00 | 75 | 33 | 85 | 56 | 75 | 87 | 84 | 54 | 30 | 62 | 55 | 71 | 54 | 72 | 71 | 0 | 63 | 74 | 28 | 800,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jake Bean | 0 | D | 100.00 | 58 | 33 | 89 | 55 | 77 | 80 | 82 | 50 | 30 | 56 | 56 | 59 | 53 | 71 | 69 | 0 | 19 | 68 | 27 | 2,500,000$/2yrs | |||
| TEAM AVERAGE | 99.95 | 67 | 34 | 85 | 69 | 77 | 85 | 87 | 65 | 53 | 71 | 68 | 65 | 67 | 69 | 67 | 0 | 52 | 79 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Stuart Skinner | 0 | 98.00 | 84 | 95 | 82 | 85 | 86 | 78 | 87 | 93 | 85 | 92 | 87 | 71 | 75 | 0 | 76 | 89 | 27 | 2,600,000$/1yrs |
Carter Hart | 0 | 100.00 | 73 | 69 | 69 | 74 | 79 | 72 | 80 | 82 | 78 | 84 | 80 | 70 | 74 | 0 | 53 | 80 | 27 | 2,000,000$/2yrs |
| Scratches | ||||||||||||||||||||
Ilya Samsonov | 0 | 100.00 | 75 | 74 | 71 | 87 | 77 | 68 | 77 | 79 | 78 | 80 | 77 | 73 | 77 | 0 | 20 | 81 | 29 | 4,500,000$/2yrs |
| TEAM AVERAGE | 99.33 | 77 | 79 | 74 | 82 | 81 | 73 | 81 | 85 | 80 | 85 | 81 | 71 | 75 | 0 | 50 | 83 | |||
| 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 | Matt Boldy | 0 | LW/RW | 82 | 33 | 42 | 75 | 14 | 35 | 5 | 114 | 329 | 75 | 211 | 10.03% | 15 | 17.11 | 6 | 12 | 18 | 268 | 0 | 0 | 0 | 2 | 2 | 3 | 37.17% | 113 | 0 | 0 | 1 | 0 | 1.07 | 1 | 5 | |
| 2 | Roope Hintz | 0 | C/LW | 82 | 29 | 41 | 70 | 17 | 18 | 0 | 75 | 267 | 77 | 192 | 10.86% | 11 | 18.58 | 6 | 8 | 14 | 263 | 0 | 0 | 0 | 162 | 5 | 1 | 51.66% | 2075 | 0 | 0 | 0 | 1 | 0.92 | 1 | 3 | |
| 3 | Drake Batherson | 0 | RW | 82 | 25 | 41 | 66 | -5 | 38 | 0 | 167 | 243 | 70 | 188 | 10.29% | 12 | 16.81 | 8 | 9 | 17 | 267 | 0 | 0 | 0 | 0 | 7 | 0 | 44.94% | 89 | 0 | 0 | 0 | 0 | 0.96 | 0 | 4 | |
| 4 | Mathew Barzal | 0 | C/RW | 82 | 24 | 39 | 63 | 20 | 20 | 0 | 73 | 242 | 66 | 169 | 9.92% | 11 | 16.65 | 4 | 11 | 15 | 266 | 0 | 0 | 0 | 3 | 3 | 2 | 49.70% | 503 | 0 | 0 | 2 | 0 | 0.92 | 3 | 5 | |
| 5 | Matty Beniers | 0 | C | 82 | 16 | 40 | 56 | 7 | 20 | 0 | 52 | 200 | 57 | 168 | 8.00% | 16 | 19.22 | 2 | 10 | 12 | 261 | 1 | 1 | 2 | 241 | 2 | 1 | 50.91% | 2251 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
| 6 | Evan Bouchard | 75 | D | 82 | 12 | 38 | 50 | -14 | 32 | 0 | 61 | 141 | 40 | 98 | 8.51% | 98 | 21.45 | 8 | 12 | 20 | 271 | 0 | 0 | 0 | 121 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 7 | Aliaksei Protas | 0 | C | 82 | 22 | 28 | 50 | 12 | 17 | 5 | 30 | 265 | 82 | 195 | 8.30% | 20 | 18.52 | 6 | 9 | 15 | 252 | 0 | 2 | 2 | 231 | 7 | 0 | 43.14% | 102 | 0 | 0 | 0 | 0 | 0.66 | 0 | 1 | |
| 8 | Jonathan Drouin | 0 | LW | 82 | 22 | 20 | 42 | -3 | 10 | 0 | 34 | 189 | 41 | 113 | 11.64% | 8 | 14.63 | 0 | 5 | 5 | 184 | 0 | 0 | 0 | 45 | 1 | 2 | 43.21% | 81 | 0 | 0 | 0 | 1 | 0.70 | 1 | 3 | |
| 9 | Neal Pionk | 0 | D | 82 | 9 | 27 | 36 | 23 | 92 | 0 | 227 | 80 | 28 | 58 | 11.25% | 108 | 20.84 | 2 | 3 | 5 | 97 | 1 | 1 | 2 | 210 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 10 | Brandt Clarke | 55 | D | 82 | 7 | 26 | 33 | 18 | 42 | 0 | 92 | 64 | 25 | 51 | 10.94% | 91 | 18.67 | 3 | 3 | 6 | 242 | 0 | 0 | 0 | 90 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 11 | Kevin Bahl | 0 | D | 82 | 5 | 24 | 29 | 0 | 85 | 5 | 175 | 71 | 22 | 25 | 7.04% | 122 | 19.49 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 243 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| 12 | Connor McMichael | 0 | C | 82 | 7 | 18 | 25 | -5 | 14 | 0 | 38 | 160 | 33 | 135 | 4.38% | 17 | 11.35 | 1 | 6 | 7 | 176 | 0 | 0 | 0 | 87 | 0 | 0 | 45.14% | 926 | 0 | 0 | 1 | 0 | 0.54 | 0 | 0 | |
| 13 | Eeli Tolvanen | 0 | LW/RW | 82 | 9 | 15 | 24 | 4 | 66 | 0 | 156 | 160 | 53 | 122 | 5.63% | 17 | 12.95 | 3 | 1 | 4 | 81 | 0 | 1 | 1 | 147 | 2 | 0 | 37.80% | 82 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 14 | Emmitt Finnie | 0 | C/LW | 64 | 11 | 11 | 22 | 10 | 20 | 0 | 44 | 93 | 25 | 59 | 11.83% | 8 | 9.92 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 44.23% | 52 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
| 15 | Bowen Byram | 0 | D | 82 | 2 | 19 | 21 | 7 | 59 | 5 | 107 | 47 | 16 | 22 | 4.26% | 95 | 19.02 | 0 | 0 | 0 | 5 | 0 | 1 | 1 | 228 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| 16 | Nino Niederreiter | 0 | LW/RW | 80 | 8 | 5 | 13 | 1 | 45 | 5 | 98 | 93 | 18 | 51 | 8.60% | 9 | 11.59 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 82 | 1 | 3 | 38.89% | 90 | 0 | 0 | 0 | 0 | 0.28 | 1 | 2 | |
| 17 | Jake Bean | 0 | D | 52 | 4 | 8 | 12 | 8 | 18 | 0 | 42 | 16 | 3 | 8 | 25.00% | 53 | 14.99 | 0 | 0 | 0 | 3 | 1 | 0 | 1 | 55 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 18 | Parker Wotherspoon | 27 | D | 28 | 3 | 9 | 12 | 8 | 24 | 0 | 61 | 20 | 9 | 8 | 15.00% | 49 | 17.03 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 76 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 19 | Bradly Nadeau | 0 | LW/RW | 37 | 3 | 2 | 5 | 2 | 6 | 0 | 34 | 29 | 13 | 25 | 10.34% | 4 | 9.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 24 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| Team Total or Average | 1409 | 251 | 453 | 704 | 124 | 661 | 25 | 1680 | 2709 | 753 | 1898 | 9.27% | 764 | 16.54 | 49 | 90 | 139 | 2665 | 3 | 6 | 9 | 2031 | 37 | 15 | 49.23% | 6388 | 0 | 0 | 4 | 2 | 0.60 | 7 | 23 |
| 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 | 55 | 27 | 21 | 6 | 0.909 | 2.95 | 3274 | 2 | 1 | 161 | 1767 | 0 | 1 | 0 | 0.636 | 11 | 54 | 28 | 3 | 1 | 5 | |
| 2 | Carter Hart | 23 | 10 | 10 | 3 | 0.898 | 3.36 | 1376 | 4 | 0 | 77 | 755 | 0 | 0 | 2 | 0.818 | 11 | 23 | 42 | 3 | 0 | 1 | |
| 3 | 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 | |
| Team Total or Average | 83 | 40 | 33 | 9 | 0.906 | 3.04 | 4950 | 8 | 1 | 251 | 2673 | 0 | 1 | 3 | 0.727 | 22 | 82 | 82 | 7 | 1 | 7 |
| Projected Total Cap Hit | 83,469,576$ |
| Projected Cap Space | 12,030,424$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 83,035,149$ |
| Players In Salary Cap | 22 |
| 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 | 25 | 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 | ||||||
Bradly Nadeau | LW/RW | 20 | 975,000$ | 975,000$ | RFA | ||||||
Brandt Clarke | D | 23 | 863,333$ | 863,333$ | RFA | ||||||
| Carter Hart | G | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Connor McMichael ![]() | C | 25 | 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 | ||||
Emmitt Finnie | C/LW | 20 | 821,667$ | 821,667$ | 821,667$ | 821,667$ | RFA | ||||
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 | 29 | 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 | 31 | 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 | 25 | 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 | ||||||
Nino Niederreiter ![]() | LW/RW | 33 | 4,250,000$ | 4,250,000$ | UFA | ||||||
Parker Wotherspoon | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
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 | |
| Stuart Skinner | G | 27 | 2,600,000$ | 2,600,000$ |
| 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 | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Danila Klimovich | RW | 23 | 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 | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Ethan Edwards | D | 23 | 0$ | RFA | |||||||
Filip Mesar | C/RW | 22 | 918,333$ | 918,333$ | RFA | ||||||
Jackson Kunz | LW | 23 | 0$ | RFA | |||||||
Jacob Bryson | D | 28 | 900,000$ | 900,000$ | |||||||
Jakub Stancl | LW | 21 | 835,778$ | 835,778$ | 835,778$ | 835,778$ | RFA | ||||
Jasper Weatherby | C/LW | 28 | 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 | 23 | 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 | 22 | 905,000$ | 905,000$ | 905,000$ | 905,000$ | RFA | ||||
Matyas Sapovaliv | C | 22 | 803,334$ | 803,334$ | 803,334$ | RFA | |||||
Maxime Lajoie | D | 28 | 1,000,000$ | 1,000,000$ | |||||||
Mikhail Abramov | C | 25 | 900,000$ | 900,000$ | RFA | ||||||
Morgan Adams-Moisan | RW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Nathan Legare | RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Oskar Back | C | 26 | 825,000$ | 825,000$ | 825,000$ | ||||||
Sam O'Reilly | C/RW | 20 | 931,945$ | 931,945$ | 931,945$ | 931,945$ | RFA | ||||
Tristen Nielsen | C | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Ty Nelson | D | 22 | 867,500$ | 867,500$ | RFA | ||||||
Tyler Brennan | G | 22 | 870,000$ | 870,000$ | RFA | ||||||
Zachary Gallant | C | 27 | 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 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 1 | 0 | 4 | 2 | 70 | 23 | 23 | 23 | 3 | 53 | 17 | 10 | 43 | 9 | 2 | 22.22% | 5 | 0 | 100.00% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 49 | 33 | 47 | 15 | 27 | 13 | 36.4% | 8.6% | 86.8% | 95.4 | Unlucky | |
| 2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 15 | 24 | 1 | 0 | 3 | 1 | 5 | 0 | 80 | 22 | 31 | 27 | 0 | 94 | 20 | 24 | 66 | 9 | 2 | 22.22% | 10 | 2 | 80.00% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 66 | 45 | 75 | 23 | 38 | 18 | 58.3% | 11.3% | 92.6% | 103.8 | LUCKY | |
| 3 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 10 | -3 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 3 | 3 | 1 | 0 | 112 | 45 | 40 | 27 | 0 | 80 | 28 | 26 | 50 | 11 | 3 | 27.27% | 13 | 2 | 84.62% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 77 | 54 | 66 | 21 | 38 | 19 | 33.3% | 6.3% | 87.5% | 93.8 | Unlucky | |
| 4 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 10 | 6 | 1.000 | 15 | 29 | 44 | 0 | 0 | 7 | 6 | 2 | 0 | 94 | 32 | 39 | 23 | 0 | 81 | 32 | 16 | 53 | 16 | 7 | 43.75% | 7 | 2 | 71.43% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 71 | 48 | 68 | 23 | 40 | 20 | 72.7% | 16.0% | 93.8% | 109.8 | LUCKY | |
| 5 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 12 | 9 | 3 | 5 | 0.833 | 12 | 23 | 35 | 0 | 0 | 4 | 3 | 5 | 0 | 97 | 31 | 35 | 31 | 0 | 121 | 42 | 22 | 70 | 11 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 64 | 45 | 80 | 21 | 36 | 18 | 63.2% | 12.4% | 92.6% | 104.9 | LUCKY | |
| 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 4 | 10 | 4 | 1.000 | 14 | 25 | 39 | 0 | 0 | 8 | 2 | 4 | 0 | 74 | 28 | 20 | 26 | 0 | 73 | 20 | 12 | 37 | 10 | 4 | 40.00% | 6 | 1 | 83.33% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 51 | 36 | 45 | 14 | 23 | 12 | 76.9% | 18.9% | 94.5% | 113.4 | LUCKY | |
| 7 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.333 | 8 | 15 | 23 | 1 | 0 | 1 | 3 | 3 | 1 | 93 | 24 | 28 | 39 | 2 | 99 | 29 | 18 | 54 | 11 | 1 | 9.09% | 9 | 3 | 66.67% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 77 | 54 | 68 | 20 | 35 | 19 | 50.0% | 8.6% | 89.9% | 98.5 | Unlucky | |
| 8 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 16 | 2 | 4 | 0.500 | 18 | 32 | 50 | 0 | 0 | 4 | 9 | 5 | 0 | 150 | 40 | 48 | 62 | 0 | 129 | 34 | 44 | 86 | 17 | 4 | 23.53% | 22 | 7 | 68.18% | 1 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 95 | 66 | 96 | 30 | 47 | 22 | 60.9% | 12.0% | 87.6% | 99.6 | FUN | |
| 9 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 0.250 | 9 | 15 | 24 | 0 | 0 | 3 | 2 | 4 | 0 | 124 | 39 | 34 | 51 | 0 | 129 | 31 | 45 | 113 | 15 | 2 | 13.33% | 19 | 4 | 78.95% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 91 | 63 | 99 | 28 | 48 | 24 | 38.9% | 7.3% | 88.4% | 95.6 | Unlucky | |
| 10 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 0 | 3 | 2 | 0 | 107 | 39 | 36 | 32 | 0 | 108 | 41 | 23 | 69 | 7 | 2 | 28.57% | 9 | 2 | 77.78% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 71 | 49 | 72 | 22 | 35 | 16 | 23.1% | 4.7% | 88.9% | 93.6 | Unlucky | |
| 11 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 5 | 3 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 3 | 2 | 3 | 0 | 72 | 18 | 30 | 24 | 0 | 57 | 20 | 13 | 45 | 9 | 1 | 11.11% | 4 | 1 | 75.00% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 47 | 33 | 46 | 15 | 27 | 13 | 63.6% | 11.1% | 91.2% | 102.3 | LUCKY | |
| 12 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | -2 | 1 | 0.250 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 78 | 12 | 37 | 26 | 9 | 47 | 13 | 20 | 32 | 10 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 56 | 39 | 43 | 13 | 24 | 12 | 0.0% | 0.0% | 95.7% | 95.7 | DULL | |
| 13 | 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 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 49 | 33 | 54 | 15 | 26 | 13 | 50.0% | 11.4% | 90.2% | 101.7 | FUN | |
| 14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 77 | 22 | 16 | 39 | 0 | 72 | 20 | 20 | 36 | 7 | 0 | 0.00% | 9 | 5 | 44.44% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 49 | 34 | 45 | 14 | 25 | 13 | 100.0% | 6.5% | 93.1% | 99.5 | DULL | |
| 15 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 1 | 2 | 6 | 0 | 106 | 34 | 35 | 37 | 0 | 90 | 23 | 18 | 70 | 12 | 2 | 16.67% | 8 | 1 | 87.50% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 76 | 52 | 65 | 22 | 38 | 20 | 46.7% | 8.5% | 90.0% | 98.5 | Unlucky | |
| 16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 5 | 1 | 2 | 0 | 67 | 27 | 15 | 25 | 0 | 44 | 16 | 10 | 39 | 10 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 54 | 39 | 40 | 13 | 24 | 12 | 72.7% | 11.9% | 90.9% | 102.8 | FUN | |
| 17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 72 | 27 | 20 | 25 | 0 | 67 | 18 | 18 | 41 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 45 | 30 | 49 | 15 | 25 | 12 | 50.0% | 6.9% | 91.0% | 98.0 | Unlucky | |
| 18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 65 | 22 | 23 | 20 | 0 | 73 | 16 | 20 | 52 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 44 | 29 | 51 | 14 | 24 | 12 | 50.0% | 6.2% | 94.5% | 100.7 | DULL | |
| 19 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 10 | 18 | -8 | 3 | 0.375 | 10 | 19 | 29 | 0 | 0 | 5 | 3 | 2 | 0 | 121 | 45 | 42 | 34 | 0 | 150 | 48 | 36 | 89 | 10 | 1 | 10.00% | 17 | 5 | 70.59% | 1 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 85 | 58 | 106 | 29 | 48 | 22 | 40.9% | 8.3% | 88.0% | 96.3 | Unlucky | |
| 20 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 11 | 7 | 4 | 5 | 0.833 | 11 | 19 | 30 | 0 | 0 | 4 | 4 | 2 | 1 | 120 | 29 | 38 | 47 | 6 | 114 | 31 | 30 | 61 | 9 | 0 | 0.00% | 15 | 3 | 80.00% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 74 | 50 | 74 | 23 | 39 | 19 | 73.3% | 9.2% | 93.9% | 103.0 | LUCKY | |
| 21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 71 | 19 | 27 | 25 | 0 | 59 | 16 | 24 | 46 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 1 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 48 | 33 | 47 | 14 | 24 | 12 | 57.1% | 7.0% | 93.2% | 100.3 | DULL | |
| 22 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 12 | 7 | 8 | 1.000 | 19 | 36 | 55 | 0 | 0 | 5 | 7 | 7 | 0 | 157 | 41 | 56 | 60 | 0 | 125 | 42 | 36 | 85 | 17 | 6 | 35.29% | 18 | 4 | 77.78% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 96 | 66 | 92 | 28 | 51 | 26 | 61.9% | 12.1% | 90.4% | 102.5 | FUN | |
| 23 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 15 | -7 | 0 | 0.000 | 8 | 15 | 23 | 0 | 0 | 1 | 5 | 2 | 0 | 96 | 38 | 32 | 26 | 0 | 116 | 32 | 38 | 73 | 12 | 0 | 0.00% | 14 | 6 | 57.14% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 67 | 45 | 73 | 22 | 38 | 19 | 47.1% | 8.3% | 87.1% | 95.4 | Unlucky | |
| 24 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 10 | -3 | 1 | 0.250 | 7 | 13 | 20 | 0 | 0 | 2 | 4 | 1 | 0 | 71 | 18 | 28 | 25 | 0 | 72 | 23 | 12 | 45 | 12 | 1 | 8.33% | 6 | 1 | 83.33% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 47 | 33 | 47 | 14 | 25 | 13 | 40.0% | 9.9% | 86.1% | 96.0 | FUN | |
| 25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 53 | 16 | 18 | 19 | 0 | 56 | 21 | 20 | 39 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 44 | 30 | 51 | 14 | 23 | 10 | 40.0% | 9.4% | 87.5% | 96.9 | FUN | |
| 26 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 2 | 3 | 5 | 0 | 71 | 20 | 24 | 27 | 0 | 74 | 10 | 17 | 52 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 43 | 29 | 51 | 14 | 24 | 12 | 66.7% | 14.1% | 91.9% | 106.0 | LUCKY | |
| 27 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 14 | -4 | 2 | 0.250 | 10 | 17 | 27 | 0 | 0 | 6 | 3 | 1 | 0 | 118 | 39 | 43 | 36 | 0 | 154 | 41 | 30 | 82 | 13 | 2 | 15.38% | 15 | 4 | 73.33% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 90 | 62 | 102 | 29 | 47 | 24 | 44.4% | 8.5% | 90.9% | 99.4 | Unlucky | |
| 28 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 6 | 1 | 3 | 0 | 120 | 42 | 39 | 39 | 0 | 79 | 27 | 14 | 53 | 12 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 77 | 55 | 65 | 21 | 36 | 18 | 58.8% | 8.3% | 89.9% | 98.2 | Unlucky | |
| 29 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 1 | 0.250 | 5 | 7 | 12 | 0 | 0 | 2 | 2 | 1 | 0 | 64 | 22 | 22 | 20 | 6 | 64 | 14 | 20 | 41 | 11 | 1 | 9.09% | 9 | 1 | 88.89% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 46 | 31 | 52 | 15 | 26 | 12 | 40.0% | 7.8% | 89.1% | 96.9 | Unlucky | |
| 30 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 0 | 1 | 2 | 0 | 1 | 76 | 24 | 30 | 21 | 1 | 63 | 12 | 18 | 44 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 48 | 34 | 47 | 13 | 25 | 12 | 42.9% | 5.3% | 92.1% | 97.3 | DULL | |
| 31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 60 | 19 | 22 | 19 | 0 | 51 | 18 | 14 | 49 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 47 | 33 | 45 | 15 | 26 | 13 | 44.4% | 6.7% | 88.2% | 94.9 | Unlucky | |
| _Vs Division | 26 | 12 | 11 | 0 | 1 | 2 | 0 | 0 | 86 | 91 | -5 | 28 | 0.538 | 86 | 154 | 240 | 0 | 0 | 28 | 30 | 27 | 1 | 896 | 267 | 296 | 327 | 6 | 891 | 250 | 239 | 586 | 93 | 17 | 18.28% | 114 | 28 | 75.44% | 2 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 610 | 421 | 637 | 191 | 321 | 159 | 52.3% | 9.6% | 89.8% | 99.4 | FUN | |
| _Vs Conference | 50 | 22 | 22 | 0 | 2 | 4 | 0 | 0 | 160 | 167 | -7 | 52 | 0.520 | 160 | 291 | 451 | 2 | 0 | 53 | 55 | 50 | 2 | 1695 | 540 | 576 | 571 | 8 | 1669 | 501 | 420 | 1074 | 182 | 32 | 17.58% | 193 | 48 | 75.13% | 2 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 1182 | 820 | 1208 | 366 | 622 | 311 | 51.8% | 9.4% | 90.0% | 99.4 | FUN | |
| _Since Last GM Reset | 82 | 35 | 33 | 0 | 3 | 6 | 2 | 3 | 258 | 257 | 1 | 89 | 0.543 | 258 | 458 | 716 | 3 | 0 | 91 | 84 | 78 | 9 | 2806 | 874 | 949 | 965 | 40 | 2676 | 777 | 684 | 1765 | 317 | 50 | 15.77% | 313 | 70 | 77.64% | 3 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 1957 | 1356 | 1973 | 602 | 1028 | 515 | 52.7% | 9.2% | 90.4% | 99.6 | FUN | |
| Total | 82 | 35 | 33 | 0 | 3 | 6 | 2 | 3 | 258 | 257 | 1 | 89 | 0.543 | 258 | 458 | 716 | 3 | 0 | 91 | 84 | 78 | 9 | 2806 | 874 | 949 | 965 | 40 | 2676 | 777 | 684 | 1765 | 317 | 50 | 15.77% | 313 | 70 | 77.64% | 3 | 1505 | 3083 | 48.82% | 1458 | 2948 | 49.46% | 622 | 1243 | 50.04% | 1957 | 1356 | 1973 | 602 | 1028 | 515 | 52.7% | 9.2% | 90.4% | 99.6 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 3083 |
| Neutral Zone Start | 1243 |
| Defensive Zone Start | 2948 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3585 |
| Faceoffs Lost | 3689 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.7 | 9.57 |
| 2nd Period | 22.2 | 20.31 |
| 3rd Period | 34.0 | 30.68 |
| Overtime | 34.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 202 |
|---|---|
| PP Goal | 50 |
| PK Goal | 3 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 25 | 15 |
| Lost | 13 | 20 |
| Overtime Lost | 3 | 6 |
| PP Attempt | 317 |
|---|---|
| PP Goal | 50 |
| PK Attempt | 313 |
| PK Goal Against | 70 |
| Home | |
|---|---|
| Shots For | 34.2 |
| Shots Against | 32.6 |
| Goals For | 3.1 |
| Goals Against | 3.1 |
| Hits | 21.5 |
| Shots Blocked | 9.5 |
| Pim | 8.3 |
| 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 | |||||||||||
| 2025-11-29 | @ | Senators1,Blues4 | RECAP | |||||||||||
| 2025-12-01 | @ | Senators4,Stars2 | RECAP | |||||||||||
| 2025-12-03 | @ | Senators1,Canadiens4 | RECAP | |||||||||||
| 2025-12-05 | @ | Rangers1,Senators2 (OT) | RECAP | |||||||||||
| 2025-12-07 | @ | Blues2,Senators4 | RECAP | |||||||||||
| 2025-12-10 | @ | Devils3,Senators0 | RECAP | |||||||||||
| 2025-12-12 | @ | Senators1,Blue Jackets6 | RECAP | |||||||||||
| 2025-12-14 | @ | Senators3,Wild4 (OT) | RECAP | |||||||||||
| 2025-12-16 | @ | Senators3,Jets4 (OT) | RECAP | |||||||||||
| 2025-12-19 | @ | Penguins2,Senators3 | RECAP | |||||||||||
| 2025-12-21 | @ | Blackhawks1,Senators4 | RECAP | |||||||||||
| 2025-12-22 | @ | Senators0,Bruins4 | RECAP | |||||||||||
| 2025-12-24 | @ | Sabres1,Senators5 | RECAP | |||||||||||
| 2025-12-28 | @ | Senators1,Maple Leafs3 | RECAP | |||||||||||
| 2025-12-30 | @ | Blue Jackets4,Senators3 | RECAP | |||||||||||
| 2026-01-02 | @ | Capitals3,Senators1 | RECAP | |||||||||||
| 2026-01-04 | @ | Jets6,Senators4 | RECAP | |||||||||||
| 2026-01-06 | @ | Red Wings3,Senators5 | RECAP | |||||||||||
| 2026-01-08 | @ | Senators1,Mammoth3 | RECAP | |||||||||||
| 2026-01-09 | @ | Senators7,Avalanche3 | RECAP | |||||||||||
| 2026-01-11 | @ | Panthers3,Senators4 | RECAP | |||||||||||
| 2026-01-14 | @ | Canucks1,Senators0 (SO) | RECAP | |||||||||||
| 2026-01-15 | @ | Senators4,Rangers6 | RECAP | |||||||||||
| 2026-01-18 | @ | Canadiens4,Senators2 | RECAP | |||||||||||
| 2026-01-19 | @ | Senators5,Red Wings2 | RECAP | |||||||||||
| 2026-01-21 | @ | Senators4,Blue Jackets5 | RECAP | |||||||||||
| 2026-01-23 | @ | Senators2,Predators4 | RECAP | |||||||||||
| 2026-01-25 | @ | Hurricanes4,Senators7 | RECAP | |||||||||||
| 2026-01-26 | @ | Golden Knights4,Senators2 | RECAP | |||||||||||
| 2026-01-29 | @ | Avalanche1,Senators7 | RECAP | |||||||||||
| 2026-02-01 | @ | Devils5,Senators4 (OT) | RECAP | |||||||||||
| 2026-02-03 | @ | Senators4,Penguins5 | RECAP | |||||||||||
| 2026-02-04 | @ | Senators1,Hurricanes2 (OT) | RECAP | |||||||||||
| 2026-02-06 | @ | Senators4,Flyers1 | RECAP | |||||||||||
| 2026-02-27 | @ | Red Wings4,Senators3 | RECAP | |||||||||||
| 2026-03-01 | @ | Senators3,Maple Leafs5 | RECAP | |||||||||||
| 2026-03-04 | @ | Senators5,Oilers3 | RECAP | |||||||||||
| 2026-03-06 | @ | Senators5,Flames4 (SO) | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | Senators4,Kraken2 | RECAP | |||||||||||
| 2026-03-10 | @ | Senators0,Canucks1 | RECAP | |||||||||||
| 2026-03-12 | @ | Canadiens3,Senators5 | RECAP | |||||||||||
| 2026-03-15 | @ | Ducks4,Senators1 | RECAP | |||||||||||
| 2026-03-16 | @ | Sharks4,Senators3 | RECAP | |||||||||||
| 2026-03-19 | @ | Senators1,Capitals4 | RECAP | |||||||||||
| 2026-03-20 | @ | Islanders1,Senators6 | RECAP | |||||||||||
| 2026-03-22 | @ | Maple Leafs2,Senators3 | RECAP | |||||||||||
| 2026-03-24 | @ | Senators2,Rangers3 | RECAP | |||||||||||
| 2026-03-25 | @ | Senators5,Red Wings7 | RECAP | |||||||||||
| 2026-03-27 | @ | Penguins1,Senators3 | RECAP | |||||||||||
| 2026-03-29 | @ | Senators3,Lightning2 | RECAP | |||||||||||
| 2026-04-01 | @ | Senators3,Panthers2 | RECAP | |||||||||||
| 2026-04-03 | @ | Sabres3,Senators4 (OT) | RECAP | |||||||||||
| 2026-04-05 | @ | Wild1,Senators5 | RECAP | |||||||||||
| 2026-04-06 | @ | Hurricanes3,Senators4 | RECAP | |||||||||||
| 2026-04-08 | @ | Lightning6,Senators2 | RECAP | |||||||||||
| 2026-04-10 | @ | Panthers4,Senators8 | RECAP | |||||||||||
| 2026-04-12 | @ | Senators5,Islanders3 | RECAP | |||||||||||
| 2026-04-13 | @ | Senators3,Devils2 | RECAP | |||||||||||
| 2026-04-16 | @ | Maple Leafs4,Senators3 | RECAP | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 83,410,000$ | 0$ | 83,469,576$ | 12,090,000$ |
| 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 | 229515 | 192993 | 76501 | 154038 | 38150 |
| Attendance PCT | 93.30% | 94.14% | 93.29% | 93.93% | 93.05% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 16858 - 93.66% | 1,543,815$ | 63,296,434$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 83,410,000$ | 83,410,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 84,029,882$ | 434,427$ | 83,035,149$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 1 | 439,635$ | 439,635$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 439,635$ | 83,410,000$ | 22,897,516$ | 22,457,881$ |
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 |
|---|---|---|---|---|---|---|---|---|
| 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) |
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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. |
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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 | |||
| 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 | |||
| 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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