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Full Scoreboard »» |
Ottawa Senators 30-31-5, 65pts · 11th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 60 | 32 | 88 | 86 | 71 | 84 | 90 | 77 | 62 | 68 | 93 | 69 | 85 | 65 | 64 | 0 | 45 | 87 | 24 | 2,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 34 | 88 | 80 | 86 | 84 | 89 | 77 | 80 | 76 | 82 | 66 | 80 | 72 | 71 | 0 | 48 | 86 | 28 | 8,250,000$/7yrs | |||
![]() | 0 | C/RW | 100.00 | 62 | 33 | 86 | 80 | 75 | 88 | 86 | 73 | 61 | 84 | 72 | 67 | 73 | 71 | 70 | 0 | 48 | 85 | 27 | 9,150,000$/7yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 33 | 83 | 79 | 80 | 88 | 90 | 76 | 63 | 71 | 88 | 64 | 82 | 65 | 63 | 0 | 48 | 85 | 23 | 7,000,000$/6yrs | |||
![]() | 0 | RW | 100.00 | 74 | 33 | 90 | 76 | 81 | 85 | 90 | 74 | 60 | 76 | 74 | 58 | 74 | 70 | 69 | 0 | 48 | 83 | 26 | 6,650,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 57 | 33 | 96 | 74 | 76 | 87 | 77 | 72 | 58 | 83 | 70 | 54 | 71 | 75 | 75 | 0 | 48 | 82 | 30 | 4,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 57 | 34 | 91 | 76 | 93 | 81 | 90 | 71 | 58 | 69 | 80 | 66 | 75 | 65 | 64 | 0 | 48 | 82 | 24 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 32 | 90 | 69 | 72 | 81 | 87 | 67 | 58 | 67 | 71 | 69 | 69 | 67 | 66 | 0 | 48 | 79 | 25 | 4,000,000$/4yrs | |||
![]() | 0 | C | 100.00 | 65 | 32 | 94 | 71 | 72 | 85 | 89 | 69 | 82 | 70 | 71 | 63 | 70 | 61 | 61 | 0 | 45 | 79 | 22 | 3,750,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 62 | 33 | 86 | 65 | 82 | 82 | 76 | 68 | 61 | 69 | 71 | 55 | 70 | 80 | 79 | 0 | 48 | 78 | 33 | 6,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 66 | 34 | 81 | 68 | 90 | 81 | 86 | 69 | 61 | 73 | 66 | 54 | 67 | 61 | 59 | 0 | 48 | 77 | 22 | 3,750,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 58 | 38 | 94 | 59 | 71 | 70 | 81 | 65 | 49 | 61 | 61 | 69 | 61 | 72 | 71 | 0 | 45 | 73 | 29 | 775,000$/1yrs | |||
![]() | 0 | D | 99.00 | 76 | 32 | 70 | 74 | 72 | 91 | 90 | 68 | 30 | 82 | 64 | 72 | 66 | 75 | 72 | 0 | 48 | 85 | 29 | 5,875,000$/2yrs | |||
![]() | 75 | D | 100.00 | 68 | 33 | 87 | 76 | 79 | 90 | 90 | 67 | 30 | 80 | 66 | 67 | 67 | 67 | 65 | 0 | 48 | 84 | 25 | 8,000,000$/7yrs | |||
![]() | 0 | D | 100.00 | 75 | 34 | 92 | 65 | 94 | 92 | 90 | 61 | 30 | 66 | 50 | 81 | 56 | 66 | 65 | 0 | 50 | 78 | 24 | 1,850,000$/2yrs | |||
![]() | 55 | D | 100.00 | 59 | 32 | 68 | 69 | 75 | 88 | 90 | 63 | 30 | 75 | 60 | 63 | 61 | 61 | 58 | 0 | 48 | 78 | 22 | 863,333$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 39 | 73 | 62 | 75 | 90 | 83 | 61 | 30 | 67 | 68 | 66 | 65 | 64 | 61 | 0 | 45 | 76 | 23 | 4,200,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 33 | 84 | 57 | 77 | 82 | 78 | 60 | 30 | 62 | 58 | 71 | 59 | 69 | 67 | 0 | 48 | 74 | 26 | 2,500,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.94 | 65 | 34 | 86 | 71 | 79 | 85 | 86 | 69 | 52 | 72 | 70 | 65 | 70 | 68 | 67 | 0 | 47 | 81 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 74 | 88 | 78 | 87 | 82 | 77 | 83 | 86 | 85 | 86 | 83 | 71 | 75 | 0 | 43 | 86 | 28 | 4,500,000$/3yrs |
![]() | 49 | 100.00 | 78 | 80 | 74 | 81 | 78 | 68 | 79 | 83 | 77 | 83 | 79 | 78 | 82 | 0 | 54 | 82 | 32 | 1,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 81 | 88 | 78 | 74 | 82 | 76 | 83 | 86 | 83 | 87 | 83 | 69 | 73 | 0 | 20 | 85 | 26 | |
TEAM AVERAGE | 99.67 | 78 | 85 | 77 | 81 | 81 | 74 | 82 | 85 | 82 | 85 | 82 | 73 | 77 | 0 | 39 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Martin St. Louis | 81 | 74 | 78 | 81 | 69 | 64 | 68 | CAN | 50 | 5 | 1,000,000$ |
General Manager | Jean-Philippe Ouellet |
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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 |
# | 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 | Connor McMichael | 0 | C | 66 | 30 | 34 | 64 | 23 | 13 | 5 | 50 | 233 | 78 | 164 | 12.88% | 20 | 18.16 | 9 | 8 | 17 | 161 | 0 | 0 | 0 | 194 | 5 | 1 | 42.43% | 1400 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | |
2 | Roope Hintz | 0 | C/LW | 66 | 27 | 31 | 58 | -9 | 12 | 0 | 45 | 211 | 66 | 161 | 12.80% | 7 | 16.30 | 9 | 16 | 25 | 204 | 0 | 0 | 0 | 9 | 2 | 1 | 49.13% | 1439 | 0 | 0 | 0 | 2 | 1.08 | 2 | 7 | |
3 | Mathew Barzal | 0 | C/RW | 66 | 19 | 32 | 51 | -7 | 24 | 0 | 68 | 208 | 57 | 141 | 9.13% | 12 | 16.40 | 6 | 18 | 24 | 208 | 0 | 0 | 0 | 0 | 1 | 4 | 46.48% | 71 | 0 | 0 | 0 | 0 | 0.94 | 1 | 1 | |
4 | Evan Bouchard | 75 | D | 66 | 8 | 42 | 50 | -8 | 38 | 0 | 82 | 80 | 23 | 59 | 10.00% | 65 | 20.24 | 3 | 9 | 12 | 210 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | |
5 | Matt Boldy | 0 | LW/RW | 66 | 20 | 30 | 50 | 6 | 32 | 0 | 75 | 199 | 41 | 147 | 10.05% | 8 | 16.17 | 11 | 5 | 16 | 204 | 0 | 0 | 0 | 0 | 5 | 0 | 33.67% | 98 | 0 | 0 | 0 | 1 | 0.94 | 2 | 7 | |
6 | Matty Beniers | 0 | C | 66 | 21 | 29 | 50 | -12 | 19 | 5 | 44 | 170 | 43 | 113 | 12.35% | 8 | 16.04 | 5 | 15 | 20 | 202 | 0 | 0 | 0 | 7 | 2 | 2 | 48.11% | 1401 | 0 | 0 | 0 | 0 | 0.94 | 1 | 1 | |
7 | Drake Batherson | 0 | RW | 66 | 21 | 24 | 45 | 9 | 46 | 0 | 130 | 147 | 41 | 103 | 14.29% | 6 | 16.00 | 7 | 8 | 15 | 200 | 0 | 0 | 0 | 0 | 3 | 4 | 43.75% | 64 | 0 | 0 | 0 | 2 | 0.85 | 1 | 4 | |
8 | Neal Pionk | 0 | D | 66 | 5 | 31 | 36 | -16 | 54 | 0 | 177 | 95 | 28 | 64 | 5.26% | 107 | 22.63 | 2 | 13 | 15 | 197 | 0 | 0 | 0 | 183 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
9 | Jonathan Drouin | 0 | LW | 66 | 8 | 24 | 32 | 6 | 16 | 0 | 47 | 119 | 32 | 94 | 6.72% | 7 | 18.64 | 2 | 8 | 10 | 196 | 0 | 0 | 0 | 188 | 0 | 0 | 35.75% | 179 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
10 | Eeli Tolvanen | 0 | LW/RW | 66 | 16 | 15 | 31 | -1 | 44 | 0 | 104 | 145 | 38 | 101 | 11.03% | 13 | 14.41 | 3 | 5 | 8 | 118 | 0 | 0 | 0 | 0 | 3 | 3 | 36.71% | 79 | 0 | 0 | 1 | 0 | 0.65 | 0 | 0 | |
11 | Kevin Bahl | 0 | D | 64 | 5 | 21 | 26 | -2 | 79 | 15 | 129 | 42 | 12 | 18 | 11.90% | 114 | 18.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
12 | Bowen Byram | 0 | D | 66 | 2 | 21 | 23 | 6 | 49 | 5 | 149 | 35 | 12 | 18 | 5.71% | 77 | 18.03 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 183 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
13 | Aliaksei Protas | 0 | C | 66 | 12 | 11 | 23 | -15 | 2 | 0 | 32 | 102 | 25 | 73 | 11.76% | 6 | 13.33 | 4 | 3 | 7 | 89 | 0 | 0 | 0 | 194 | 0 | 0 | 45.50% | 888 | 0 | 0 | 0 | 1 | 0.52 | 0 | 0 | |
14 | Taylor Hall | 0 | LW | 66 | 6 | 11 | 17 | -10 | 18 | 0 | 43 | 86 | 18 | 87 | 6.98% | 5 | 13.95 | 0 | 0 | 0 | 47 | 0 | 0 | 0 | 33 | 1 | 0 | 63.41% | 82 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
15 | Brandt Clarke | 55 | D | 66 | 2 | 13 | 15 | -15 | 28 | 0 | 57 | 23 | 12 | 17 | 8.70% | 60 | 17.83 | 1 | 1 | 2 | 5 | 0 | 0 | 0 | 84 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
16 | Jake Bean | 0 | D | 66 | 6 | 8 | 14 | 7 | 32 | 0 | 38 | 40 | 15 | 26 | 15.00% | 95 | 17.25 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 190 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
17 | Jake Lucchini | 0 | LW | 66 | 4 | 5 | 9 | -14 | 16 | 10 | 28 | 71 | 24 | 55 | 5.63% | 10 | 9.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31.82% | 44 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
18 | Quinton Byfield | 0 | C | 66 | 4 | 5 | 9 | -16 | 34 | 0 | 80 | 44 | 11 | 32 | 9.09% | 9 | 11.99 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 177 | 0 | 0 | 37.84% | 74 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
Team Total or Average | 1186 | 216 | 387 | 603 | -68 | 556 | 40 | 1378 | 2050 | 576 | 1473 | 10.54% | 629 | 16.39 | 62 | 109 | 171 | 2059 | 0 | 0 | 0 | 1624 | 27 | 15 | 45.71% | 5819 | 0 | 0 | 1 | 6 | 0.62 | 7 | 20 |
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 | Alex Lyon | 34 | 16 | 15 | 3 | 0.907 | 3.24 | 1963 | 4 | 0 | 106 | 1142 | 0 | 0 | 0 | 0.556 | 9 | 33 | 33 | 2 | 2 | 2 | |
2 | Ilya Samsonov | 39 | 16 | 18 | 3 | 0.906 | 3.12 | 2229 | 4 | 2 | 116 | 1239 | 0 | 0 | 3 | 0.833 | 6 | 37 | 30 | 3 | 2 | 2 | |
Team Total or Average | 73 | 32 | 33 | 6 | 0.907 | 3.18 | 4193 | 8 | 2 | 222 | 2381 | 0 | 0 | 3 | 0.667 | 15 | 70 | 63 | 5 | 4 | 4 |
Projected Total Cap Hit | 84,706,890$ |
Projected Cap Space | 3,293,110$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 70,729,194$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Senators Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Lyon ![]() | G | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Aliaksei Protas ![]() | C | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Bowen Byram ![]() | D | 23 | 4,200,000$ | 4,200,000$ | 4,200,000$ | ||||||
Brandt Clarke ![]() | D | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Carter Hart | G | 26 | 0$ | ||||||||
Connor McMichael ![]() | C | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Drake Batherson ![]() | RW | 26 | 6,650,000$ | 6,650,000$ | 6,650,000$ | 6,650,000$ | 6,650,000$ | UFA | |||
Eeli Tolvanen ![]() | LW/RW | 25 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Evan Bouchard ![]() | D | 25 | 8,000,000$ | 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$ | 4,500,000$ | UFA | ||||
Jake Bean ![]() | D | 26 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Jake Lucchini ![]() | LW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Jonathan Drouin ![]() | LW | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Kevin Bahl ![]() | D | 24 | 1,850,000$ | 1,850,000$ | 1,850,000$ | ||||||
Mathew Barzal ![]() | C/RW | 27 | 9,150,000$ | 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 | 23 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |
Matty Beniers ![]() | C | 22 | 3,750,000$ | 3,750,000$ | 3,750,000$ | RFA | |||||
Neal Pionk ![]() | D | 29 | 5,875,000$ | 5,875,000$ | 5,875,000$ | UFA | |||||
Quinton Byfield ![]() | C | 22 | 3,750,000$ | 3,750,000$ | 3,750,000$ | RFA | |||||
Roope Hintz ![]() | C/LW | 28 | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA |
Taylor Hall ![]() | LW | 33 | 6,000,000$ | 6,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Chmelevski ![]() | C/RW | 25 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Alexei Toropchenko ![]() | RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Artem Guryev ![]() | D | 21 | 775,000$ | 775,000$ | RFA | ||||||
Calle Clang ![]() | G | 22 | 878,333$ | 878,333$ | RFA | ||||||
Colin White ![]() | C/RW | 28 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Connor Bunnaman ![]() | C | 26 | 0$ | ![]() | |||||||
Danila Klimovich ![]() | RW | 22 | 833,333$ | 833,333$ | 833,333$ | RFA | |||||
Dmitri Ovchinnikov ![]() | C/LW/RW | 22 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Filip Mesar ![]() | C/RW | 21 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Jacob Bryson ![]() | D | 27 | 900,000$ | 900,000$ | ![]() | ||||||
Jasper Weatherby ![]() | C/LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Joe Vrbetic ![]() | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
Jonathan Aspirot ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Kasper Bjorkqvist ![]() | RW | 27 | 0$ | ![]() | |||||||
Kyle Capobianco ![]() | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Linus Weissbach ![]() | LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Lucas Ciona ![]() | LW | 22 | 830,000$ | 830,000$ | 830,000$ | RFA | |||||
Marek Alscher ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Matyas Sapovaliv ![]() | C | 21 | 803,334$ | 803,334$ | 803,334$ | 803,334$ | RFA | ||||
Maxime Lajoie ![]() | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Mikhail Abramov ![]() | C | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Nathan Legare ![]() | RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Oskar Back ![]() | C | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Parker Wotherspoon ![]() | D | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Tristen Nielsen ![]() | C | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Ty Nelson ![]() | D | 21 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Tyler Brennan ![]() | G | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Veini Vehvilainen ![]() | G | 28 | 0$ | UFA |
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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 |
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1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 70 | 18 | 28 | 24 | 0 | 64 | 19 | 26 | 48 | 7 | 1 | 14.29% | 11 | 3 | 72.73% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 41 | 26 | 51 | 13 | 26 | 13 | 28.6% | 4.3% | 87.5% | 91.8 | Unlucky | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 56 | 12 | 22 | 22 | 0 | 91 | 26 | 13 | 46 | 9 | 1 | 11.11% | 4 | 0 | 100.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 42 | 29 | 52 | 15 | 24 | 11 | 25.0% | 7.1% | 90.1% | 97.3 | Unlucky | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 4 | 3 | 2 | 0 | 72 | 26 | 24 | 22 | 0 | 46 | 12 | 12 | 45 | 8 | 2 | 25.00% | 6 | 2 | 66.67% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 49 | 34 | 45 | 15 | 25 | 12 | 70.0% | 12.5% | 89.1% | 101.6 | FUN | |
4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 14 | -5 | 2 | 0.333 | 9 | 18 | 27 | 1 | 0 | 4 | 2 | 3 | 0 | 90 | 25 | 27 | 38 | 0 | 109 | 35 | 32 | 57 | 13 | 4 | 30.77% | 16 | 2 | 87.50% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 58 | 38 | 85 | 22 | 36 | 16 | 29.4% | 10.0% | 87.2% | 97.2 | FUN | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 75 | 29 | 19 | 27 | 0 | 54 | 14 | 24 | 36 | 8 | 1 | 12.50% | 6 | 3 | 50.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 52 | 38 | 42 | 13 | 24 | 12 | 33.3% | 4.0% | 87.0% | 91.0 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 36 | 11 | 14 | 11 | 0 | 45 | 13 | 12 | 14 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 22 | 14 | 25 | 7 | 12 | 6 | 33.3% | 2.8% | 93.3% | 96.1 | DULL | |
7 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 9 | 15 | -6 | 2 | 0.333 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 94 | 22 | 24 | 45 | 6 | 132 | 29 | 22 | 84 | 8 | 6 | 75.00% | 11 | 3 | 72.73% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 69 | 46 | 77 | 21 | 39 | 18 | 20.0% | 9.6% | 88.6% | 98.2 | FUN | |
8 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 13 | 10 | 3 | 6 | 1.000 | 13 | 24 | 37 | 0 | 0 | 3 | 3 | 6 | 2 | 88 | 31 | 30 | 25 | 4 | 115 | 21 | 19 | 63 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 66 | 45 | 78 | 22 | 39 | 18 | 55.0% | 14.8% | 91.3% | 106.1 | LUCKY | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 74 | 40 | 14 | 20 | 0 | 71 | 26 | 20 | 42 | 4 | 1 | 25.00% | 10 | 2 | 80.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 40 | 27 | 52 | 15 | 26 | 11 | 40.0% | 6.8% | 88.7% | 95.5 | Unlucky | |
10 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 5 | 3 | 2 | 0 | 113 | 43 | 32 | 38 | 0 | 75 | 14 | 18 | 73 | 15 | 2 | 13.33% | 9 | 3 | 66.67% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 75 | 52 | 66 | 21 | 38 | 20 | 61.5% | 8.8% | 89.3% | 98.2 | Unlucky | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 3 | 0 | 3 | 0 | 53 | 15 | 12 | 26 | 0 | 69 | 21 | 16 | 47 | 5 | 1 | 20.00% | 8 | 3 | 62.50% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 39 | 27 | 56 | 13 | 23 | 10 | 35.7% | 11.3% | 82.6% | 93.9 | FUN | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 8 | 4 | 4 | 1.000 | 12 | 17 | 29 | 0 | 0 | 4 | 5 | 2 | 3 | 81 | 22 | 31 | 23 | 10 | 63 | 16 | 16 | 38 | 13 | 4 | 30.77% | 8 | 3 | 62.50% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 55 | 38 | 43 | 14 | 26 | 13 | 61.5% | 14.8% | 87.3% | 102.1 | FUN | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 13 | 22 | 0 | 0 | 3 | 4 | 2 | 0 | 49 | 18 | 15 | 16 | 0 | 69 | 12 | 20 | 43 | 10 | 3 | 30.00% | 10 | 2 | 80.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 46 | 32 | 48 | 15 | 25 | 11 | 54.5% | 18.4% | 89.9% | 108.2 | FUN | |
14 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 5 | 0 | 0 | 59 | 18 | 21 | 20 | 0 | 67 | 19 | 16 | 41 | 8 | 3 | 37.50% | 8 | 2 | 75.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 47 | 33 | 47 | 14 | 24 | 13 | 66.7% | 11.9% | 94.0% | 105.9 | LUCKY | |
15 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 6 | 6 | 6 | 1.000 | 12 | 22 | 34 | 0 | 0 | 4 | 4 | 4 | 0 | 76 | 27 | 21 | 28 | 0 | 117 | 41 | 28 | 44 | 5 | 2 | 40.00% | 14 | 2 | 85.71% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 60 | 40 | 81 | 23 | 38 | 17 | 71.4% | 15.8% | 94.9% | 110.7 | LUCKY | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 6 | 0 | 1 | 2 | 63 | 31 | 11 | 19 | 4 | 69 | 20 | 23 | 36 | 14 | 5 | 35.71% | 9 | 2 | 77.78% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 48 | 33 | 50 | 17 | 25 | 12 | 33.3% | 12.7% | 88.4% | 101.1 | FUN | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 3 | 0 | 62 | 17 | 17 | 28 | 0 | 71 | 12 | 12 | 36 | 11 | 2 | 18.18% | 5 | 1 | 80.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 44 | 29 | 49 | 14 | 26 | 13 | 80.0% | 9.7% | 97.2% | 106.9 | LUCKY | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 1 | 1 | 0 | 53 | 17 | 16 | 20 | 0 | 78 | 29 | 24 | 34 | 6 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 42 | 28 | 51 | 14 | 25 | 12 | 30.0% | 5.7% | 87.2% | 92.8 | Unlucky | |
19 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 19 | -9 | 0 | 0.000 | 10 | 19 | 29 | 0 | 0 | 4 | 2 | 4 | 0 | 122 | 46 | 39 | 37 | 0 | 133 | 28 | 30 | 98 | 17 | 3 | 17.65% | 14 | 2 | 85.71% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 90 | 62 | 99 | 27 | 49 | 24 | 29.2% | 8.2% | 85.7% | 93.9 | Unlucky | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 1 | 3 | 0 | 64 | 24 | 13 | 27 | 0 | 89 | 27 | 16 | 47 | 7 | 3 | 42.86% | 8 | 2 | 75.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 41 | 26 | 55 | 13 | 23 | 11 | 36.4% | 10.9% | 89.9% | 100.8 | FUN | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 7 | 8 | 15 | 0 | 35 | 10 | 9 | 27 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 24 | 16 | 23 | 7 | 12 | 6 | 40.0% | 6.7% | 91.4% | 98.1 | DULL | |
22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 3 | 0 | 50 | 19 | 17 | 14 | 0 | 53 | 10 | 15 | 46 | 10 | 2 | 20.00% | 5 | 3 | 40.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 49 | 33 | 44 | 15 | 26 | 14 | 75.0% | 16.0% | 90.6% | 106.6 | FUN | |
23 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 70 | 23 | 26 | 20 | 4 | 58 | 12 | 12 | 41 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 52 | 36 | 45 | 13 | 27 | 14 | 40.0% | 7.1% | 87.9% | 95.1 | Unlucky | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 4 | 2 | 2 | 0 | 60 | 22 | 18 | 20 | 0 | 65 | 15 | 14 | 39 | 8 | 2 | 25.00% | 7 | 1 | 85.71% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 47 | 32 | 49 | 13 | 23 | 12 | 85.7% | 13.3% | 96.9% | 110.3 | LUCKY | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 5 | 9 | 4 | 1.000 | 14 | 25 | 39 | 0 | 0 | 6 | 4 | 4 | 0 | 79 | 36 | 20 | 23 | 0 | 72 | 29 | 18 | 31 | 9 | 3 | 33.33% | 8 | 2 | 75.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 43 | 30 | 53 | 13 | 22 | 11 | 78.6% | 17.7% | 93.1% | 110.8 | LUCKY | |
26 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.333 | 8 | 12 | 20 | 0 | 0 | 2 | 3 | 3 | 0 | 87 | 26 | 30 | 31 | 0 | 119 | 35 | 24 | 62 | 11 | 3 | 27.27% | 12 | 2 | 83.33% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 62 | 41 | 79 | 21 | 37 | 17 | 38.5% | 9.2% | 91.6% | 100.8 | LUCKY | |
27 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 2 | 3 | 0 | 0 | 54 | 23 | 23 | 8 | 3 | 95 | 30 | 26 | 39 | 7 | 1 | 14.29% | 11 | 0 | 100.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 39 | 25 | 59 | 16 | 25 | 12 | 36.4% | 9.3% | 92.6% | 101.9 | LUCKY | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 1 | 0 | 2 | 2 | 4 | 0 | 56 | 20 | 15 | 21 | 0 | 71 | 20 | 19 | 30 | 8 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 42 | 27 | 51 | 15 | 26 | 12 | 57.1% | 14.3% | 88.7% | 103.0 | FUN | |
29 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 2 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 65 | 19 | 24 | 21 | 3 | 74 | 18 | 14 | 58 | 8 | 4 | 50.00% | 7 | 1 | 85.71% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 52 | 37 | 48 | 13 | 24 | 12 | 42.9% | 10.8% | 93.2% | 104.0 | LUCKY | |
30 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 5 | 0 | 2 | 1 | 49 | 18 | 16 | 14 | 1 | 66 | 22 | 12 | 39 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 49 | 35 | 47 | 14 | 26 | 14 | 80.0% | 16.3% | 95.5% | 111.8 | LUCKY | |
_Vs Division | 19 | 9 | 9 | 0 | 0 | 0 | 1 | 0 | 63 | 67 | -4 | 20 | 0.526 | 63 | 112 | 175 | 0 | 0 | 23 | 16 | 23 | 2 | 561 | 213 | 164 | 182 | 4 | 697 | 188 | 152 | 402 | 63 | 16 | 25.40% | 69 | 14 | 79.71% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 411 | 277 | 492 | 139 | 241 | 116 | 47.0% | 11.2% | 90.4% | 101.6 | FUN | |
_Vs Conference | 36 | 13 | 19 | 0 | 0 | 1 | 1 | 2 | 112 | 132 | -20 | 31 | 0.431 | 112 | 204 | 316 | 1 | 0 | 42 | 32 | 37 | 2 | 1115 | 393 | 335 | 382 | 13 | 1299 | 348 | 299 | 782 | 131 | 33 | 25.19% | 132 | 27 | 79.55% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 798 | 542 | 921 | 265 | 455 | 221 | 42.9% | 10.0% | 89.8% | 99.9 | FUN | |
_Since Last GM Reset | 66 | 26 | 31 | 0 | 1 | 1 | 3 | 4 | 219 | 227 | -8 | 65 | 0.492 | 219 | 388 | 607 | 3 | 0 | 86 | 60 | 69 | 8 | 2050 | 705 | 627 | 703 | 35 | 2335 | 635 | 562 | 1384 | 255 | 62 | 24.31% | 249 | 55 | 77.91% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 1499 | 1023 | 1665 | 484 | 835 | 411 | 47.7% | 10.7% | 90.3% | 101.0 | FUN | |
Total | 66 | 26 | 31 | 0 | 1 | 1 | 3 | 4 | 219 | 227 | -8 | 65 | 0.492 | 219 | 388 | 607 | 3 | 0 | 86 | 60 | 69 | 8 | 2050 | 705 | 627 | 703 | 35 | 2335 | 635 | 562 | 1384 | 255 | 62 | 24.31% | 249 | 55 | 77.91% | 0 | 1046 | 2251 | 46.47% | 1075 | 2401 | 44.77% | 539 | 1125 | 47.91% | 1499 | 1023 | 1665 | 484 | 835 | 411 | 47.7% | 10.7% | 90.3% | 101.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 2251 |
Neutral Zone Start | 1125 |
Defensive Zone Start | 2401 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2660 |
Faceoffs Lost | 3117 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.7 | 9.57 |
2nd Period | 20.2 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 154 |
---|---|
PP Goal | 62 |
PK Goal | 0 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 16 | 14 |
Lost | 14 | 17 |
Overtime Lost | 1 | 4 |
PP Attempt | 255 |
---|---|
PP Goal | 62 |
PK Attempt | 249 |
PK Goal Against | 55 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 35.4 |
Goals For | 3.3 |
Goals Against | 3.4 |
Hits | 21.0 |
Shots Blocked | 9.6 |
Pim | 8.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-12 | @ | Panthers2,Senators4 | RECAP | |||||||||||
2024-10-14 | @ | Senators1,Canadiens3 | RECAP | |||||||||||
2024-10-16 | @ | Kings2,Senators5 | RECAP | |||||||||||
2024-10-19 | @ | Devils4,Senators3 | RECAP | |||||||||||
2024-10-21 | @ | Lightning3,Senators5 | RECAP | |||||||||||
2024-10-24 | @ | Senators2,Hockey Club7 | RECAP | |||||||||||
2024-10-27 | @ | Senators3,Golden Knights4 (SO) | RECAP | |||||||||||
2024-10-29 | @ | Senators1,Avalanche3 | RECAP | |||||||||||
2024-10-31 | @ | Blues1,Senators2 | RECAP | |||||||||||
2024-11-03 | @ | Senators3,Rangers4 (OT) | RECAP | |||||||||||
2024-11-04 | @ | Kraken1,Senators5 | RECAP | |||||||||||
2024-11-07 | @ | Senators2,Sabres5 | RECAP | |||||||||||
2024-11-09 | @ | Islanders6,Senators1 | RECAP | |||||||||||
2024-11-11 | @ | Senators2,Bruins3 | RECAP | |||||||||||
2024-11-14 | @ | Senators5,Maple Leafs6 | RECAP | |||||||||||
2024-11-16 | @ | Flyers5,Senators2 | RECAP | |||||||||||
2024-11-18 | @ | Senators2,Hurricanes4 | RECAP | |||||||||||
2024-11-21 | @ | Oilers4,Senators5 (SO) | RECAP | |||||||||||
2024-11-23 | @ | Golden Knights1,Senators4 | RECAP | |||||||||||
2024-11-25 | @ | Canucks2,Senators5 | RECAP | |||||||||||
2024-11-27 | @ | Flames3,Senators1 | RECAP | |||||||||||
2024-11-29 | @ | Senators4,Sharks2 | RECAP | |||||||||||
2024-12-02 | @ | Senators4,Kings5 | RECAP | |||||||||||
2024-12-03 | @ | Senators6,Ducks1 | RECAP | |||||||||||
2024-12-07 | @ | Red Wings3,Senators4 | RECAP | |||||||||||
2024-12-09 | @ | Predators2,Senators3 | RECAP | |||||||||||
2024-12-10 | @ | Islanders3,Senators5 | RECAP | |||||||||||
2024-12-13 | @ | Ducks1,Senators2 | RECAP | |||||||||||
2024-12-15 | @ | Senators1,Hurricanes3 | RECAP | |||||||||||
2024-12-16 | @ | Penguins4,Senators3 (SO) | RECAP | |||||||||||
2024-12-19 | @ | Senators3,Kraken2 (OT) | RECAP | |||||||||||
2024-12-21 | @ | Senators2,Flames5 | RECAP | |||||||||||
2024-12-23 | @ | Senators7,Canucks6 (SO) | RECAP | |||||||||||
2024-12-24 | @ | Senators3,Oilers4 | RECAP | |||||||||||
2024-12-30 | @ | Senators3,Jets4 (SO) | RECAP | |||||||||||
2024-12-31 | @ | Senators4,Wild8 | RECAP | |||||||||||
2025-01-04 | @ | Senators4,Stars3 | RECAP | |||||||||||
2025-01-05 | @ | Senators4,Blues1 | RECAP | |||||||||||
2025-01-09 | @ | Senators5,Red Wings4 (SO) | RECAP | |||||||||||
2025-01-11 | @ | Sabres4,Senators5 | RECAP | |||||||||||
2025-01-13 | @ | Senators2,Penguins3 | RECAP | |||||||||||
2025-01-14 | @ | Stars2,Senators10 | RECAP | |||||||||||
2025-01-16 | @ | Senators3,Islanders5 | RECAP | |||||||||||
2025-01-18 | @ | Capitals2,Senators4 | RECAP | |||||||||||
2025-01-20 | @ | Bruins6,Senators1 | RECAP | |||||||||||
2025-01-21 | @ | Senators6,Devils1 | RECAP | |||||||||||
2025-01-23 | @ | Senators4,Rangers5 (SO) | RECAP | |||||||||||
2025-01-25 | @ | Senators2,Bruins4 | RECAP | |||||||||||
2025-01-27 | @ | Maple Leafs3,Senators1 | RECAP | |||||||||||
2025-01-28 | @ | Hockey Club3,Senators1 | RECAP | |||||||||||
2025-02-01 | @ | Capitals4,Senators3 | RECAP | |||||||||||
2025-02-03 | @ | Wild4,Senators2 | RECAP | |||||||||||
2025-02-05 | @ | Senators4,Predators2 | RECAP | |||||||||||
2025-02-06 | @ | Senators4,Lightning1 | RECAP | |||||||||||
2025-02-08 | @ | Senators3,Lightning2 | RECAP | |||||||||||
2025-02-10 | @ | Senators4,Panthers3 | RECAP | |||||||||||
2025-02-24 | @ | Canadiens5,Senators4 | RECAP | |||||||||||
2025-02-28 | @ | Jets3,Senators2 | RECAP | |||||||||||
2025-03-03 | @ | Sharks6,Senators4 | RECAP | |||||||||||
2025-03-05 | @ | Senators3,Capitals2 | RECAP | |||||||||||
2025-03-07 | @ | Senators2,Blackhawks3 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Rangers6,Senators2 | RECAP | |||||||||||
2025-03-12 | @ | Red Wings3,Senators4 | RECAP | |||||||||||
2025-03-13 | @ | Senators2,Flyers4 | RECAP | |||||||||||
2025-03-15 | @ | Bruins6,Senators5 | RECAP | |||||||||||
2025-03-17 | @ | Senators2,Maple Leafs1 | RECAP | |||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-27 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-03-31 | @ | |||||||||||||
2025-04-01 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-07 | @ | |||||||||||||
2025-04-08 | @ | |||||||||||||
2025-04-10 | @ | |||||||||||||
2025-04-13 | @ | |||||||||||||
2025-04-15 | @ | |||||||||||||
2025-04-17 | @ | |||||||||||||
2025-04-19 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
85,613,333$ | 0$ | 84,706,890$ | 2,386,667$ |
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 | 175743 | 147823 | 59265 | 116928 | 29148 |
Attendance PCT | 94.49% | 95.37% | 95.59% | 94.30% | 94.03% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
10 | 17062 - 94.79% | 1,562,967$ | 48,451,982$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
85,613,333$ | 85,613,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
71,565,922$ | 436,803$ | 70,729,194$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
15,629,672$ | 32 | 441,905$ | 14,140,960$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
14,408,494$ | 85,613,333$ | 45,390,907$ | 46,612,085$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
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2027 | ||||||||
2028 | ||||||||
2029 |
Priority | Type | Description |
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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. |
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7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Aiden Campbell | 2020 | 205 | |||
Basile Sansonnens | 2024 | 204 | |||
Braden Doyle | 2019 | 170 | |||
Brandon Kruse | 7D | ||||
Brannon McManus | |||||
Chase Bradley | |||||
David Noel | |||||
Dmitri Simashev | 2023 | 10 | |||
Dmitry Afanasenkov | 6C | ||||
Dylan Silverstein | 2022 | 166 | |||
Ethan Edwards | 2020 | 147 | |||
Filip Nordberg | 2022 | 73 | |||
Fyodor Avramov | 2024 | 144 | |||
Hagen Burrows | 2024 | 125 | |||
Ivan Zhigalov | 2022 | 137 | |||
Jack Harvey | 2023 | 202 | |||
Jack Hughes | 2022 | 43 | |||
Jackson Kunz | |||||
Jakub Stancl | 2023 | 138 | |||
Jayden Perron | 2023 | 40 | |||
Martin Misiak | 2023 | 74 | |||
Matias Mantykivi | 2019 | 201 | 6.0 - 2.5 | ||
Matthew Mania | 2023 | 54 | |||
Mattias Havelid | 2022 | 46 | |||
Maxmilian Curran | 2024 | 172 | |||
Milos Roman | 6.5 - 5.5 | ||||
Nikolai Makarov | 2021 | 145 | |||
Rasmus Larsson | 2023 | 170 | |||
Ryerson Leenders | 2024 | 108 | |||
Sam O'Reilly | 2024 | 44 | |||
Trey Augustine | 2023 | 42 |
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