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Ottawa Senators 0-0-0, 0pts · 4th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 9 | C | 100.00 | 75 | 36 | 85 | 77 | 79 | 88 | 70 | 75 | 83 | 71 | 76 | 73 | 78 | 65 | 70 | 80 | 75 | 0 | 25 | 8,000,000$/6yrs | |||
![]() | 36 | LW/RW | 100.00 | 68 | 38 | 79 | 74 | 66 | 90 | 88 | 72 | 64 | 65 | 70 | 63 | 71 | 65 | 67 | 73 | 75 | 0 | 23 | 1,100,000$/1yrs | |||
![]() | 10 | C/LW/RW | 100.00 | 76 | 35 | 89 | 68 | 77 | 87 | 90 | 67 | 83 | 69 | 66 | 88 | 65 | 77 | 73 | 55 | 75 | 0 | 30 | 2,857,143$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 34 | 91 | 83 | 70 | 92 | 88 | 85 | 53 | 92 | 80 | 88 | 82 | 72 | 74 | 76 | 75 | 0 | 27 | 10,893,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 70 | 36 | 95 | 67 | 79 | 89 | 87 | 66 | 74 | 71 | 64 | 87 | 66 | 65 | 68 | 55 | 75 | 0 | 25 | 2,625,000$/1yrs | |||
![]() | 27 | C/LW | 100.00 | 76 | 42 | 81 | 67 | 89 | 82 | 85 | 65 | 84 | 68 | 66 | 79 | 64 | 72 | 73 | 66 | 75 | 0 | 29 | 800,000$/2yrs | |||
![]() | 72 | RW | 100.00 | 69 | 46 | 83 | 81 | 96 | 89 | 88 | 83 | 75 | 80 | 87 | 68 | 84 | 69 | 75 | 68 | 75 | 0 | 26 | 7,142,848$/6yrs | |||
![]() | 23 | D | 100.00 | 62 | 34 | 86 | 77 | 69 | 94 | 89 | 79 | 30 | 91 | 75 | 88 | 60 | 68 | 71 | 63 | 75 | 0 | 26 | 9,500,000$/5yrs | |||
![]() | 0 | D | 100.00 | 78 | 52 | 86 | 63 | 90 | 86 | 76 | 61 | 30 | 69 | 60 | 92 | 50 | 75 | 73 | 52 | 75 | 0 | 32 | 3,500,000$/1yrs | |||
![]() | 78 | D | 100.00 | 74 | 43 | 86 | 75 | 69 | 91 | 86 | 70 | 30 | 78 | 62 | 64 | 53 | 65 | 68 | 77 | 75 | 0 | 24 | 4,600,000$/5yrs | |||
![]() | 3 | D | 100.00 | 70 | 37 | 95 | 68 | 87 | 91 | 90 | 66 | 30 | 74 | 63 | 95 | 53 | 76 | 71 | 52 | 75 | 0 | 30 | 5,800,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 20 | C | 100.00 | 69 | 37 | 92 | 73 | 84 | 87 | 83 | 74 | 82 | 71 | 72 | 65 | 73 | 64 | 71 | 75 | 75 | 0 | 23 | 3,750,000$/2yrs | |||
![]() | 54 | RW | 100.00 | 71 | 39 | 90 | 64 | 80 | 89 | 73 | 63 | 59 | 62 | 64 | 61 | 64 | 68 | 69 | 37 | 75 | 0 | 27 | ||||
![]() | 45 | C/LW/RW | 100.00 | 82 | 44 | 84 | 66 | 74 | 78 | 85 | 63 | 55 | 60 | 58 | 87 | 61 | 65 | 66 | 42 | 75 | 0 | 25 | 825,000$/2yrs | |||
![]() | 73 | C/LW/RW | 100.00 | 70 | 37 | 88 | 62 | 70 | 81 | 84 | 61 | 65 | 58 | 63 | 60 | 62 | 67 | 68 | 47 | 75 | 0 | 26 | ||||
![]() | 33 | LW/RW | 100.00 | 56 | 36 | 89 | 68 | 79 | 84 | 90 | 66 | 56 | 65 | 61 | 82 | 64 | 83 | 76 | 40 | 75 | 0 | 33 | ||||
![]() | 55 | C | 100.00 | 72 | 45 | 81 | 77 | 94 | 86 | 88 | 74 | 63 | 73 | 69 | 70 | 76 | 62 | 68 | 91 | 75 | 0 | 21 | 6,250,000$/5yrs | |||
![]() | 57 | D | 100.00 | 79 | 57 | 75 | 66 | 91 | 89 | 90 | 62 | 30 | 68 | 55 | 82 | 51 | 69 | 68 | 48 | 75 | 0 | 28 | 2,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 38 | 78 | 71 | 88 | 82 | 70 | 67 | 30 | 66 | 54 | 72 | 50 | 69 | 68 | 72 | 75 | 0 | 28 | 800,000$/1yrs | |||
![]() | 5 | D | 100.00 | 64 | 36 | 59 | 66 | 68 | 83 | 68 | 64 | 30 | 69 | 50 | 55 | 48 | 74 | 76 | 33 | 75 | 0 | 34 | ||||
![]() | 0 | D | 100.00 | 69 | 38 | 83 | 74 | 91 | 93 | 90 | 72 | 30 | 77 | 68 | 86 | 56 | 71 | 73 | 69 | 75 | 0 | 28 | 7,300,000$/7yrs | |||
TEAM AVERAGE | 100.00 | 71 | 40 | 85 | 71 | 80 | 87 | 84 | 69 | 54 | 71 | 66 | 76 | 63 | 70 | 71 | 61 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 70 | 100.00 | 95 | 91 | 85 | 78 | 94 | 93 | 95 | 94 | 93 | 95 | 94 | 90 | 92 | 49 | 75 | 0 | 35 | 10,000,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 35 | 100.00 | 82 | 86 | 83 | 90 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 64 | 71 | 55 | 75 | 0 | 24 | 875,000$/2yrs |
TEAM AVERAGE | 100.00 | 89 | 89 | 84 | 84 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 77 | 82 | 52 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 84 | 89 | 94 | 87 | 78 | 72 | 73 | CAN | 52 | 3 | 4,750,000$ |
General Manager | William Grou |
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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. |
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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 |
# | 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 |
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Projected Total Cap Hit | 87,367,952$ |
Projected Cap Space | 632,048$ |
Retains And Buyout Cap Hit | -1,750,000$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | D/G | 26 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |||
Akira Schmid | RW/G | 24 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Chris Wideman | D | 34 | 0$ | UFA | |||||||
Colton Sissons | C/LW/RW | 30 | 2,857,143$ | 2,857,143$ | 2,857,143$ | ||||||
Derek Forbort | D/G | 32 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Esa Lindell ![]() | D | 30 | 5,800,000$ | 5,800,000$ | |||||||
Haydn Fleury ![]() | D | 28 | 800,000$ | 800,000$ | RFA | ||||||
Jakob Silfverberg ![]() | LW/RW | 33 | 0$ | UFA | |||||||
Josh Norris | C/G | 25 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | ||
Mark Jankowski | C/LW | 29 | 800,000$ | 800,000$ | 800,000$ | ||||||
Matt Luff ![]() | RW | 27 | 0$ | RFA | |||||||
Mitch Marner | C/LW/RW | 27 | 10,893,000$ | 10,893,000$ | RFA | ||||||
Niko Mikkola | D | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Nils Hoglander | LW/RW | 23 | 1,100,000$ | 1,100,000$ | RFA | ||||||
Noah Cates | LW | 25 | 2,625,000$ | 2,625,000$ | RFA | ||||||
Oskar Steen | C/LW/RW | 26 | 0$ | RFA | |||||||
Parker Kelly | C/LW/RW | 25 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Quinton Byfield | C | 21 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | |||
Rasmus Sandin | D | 24 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | RFA | ||
Sergei Bobrovsky ![]() | C/G | 35 | 10,000,000$ | 10,000,000$ | 10,000,000$ | RFA | |||||
Shane Pinto | C/G | 23 | 3,750,000$ | 3,750,000$ | 3,750,000$ | RFA | |||||
Tage Thompson | RW | 26 | 7,142,848$ | 7,142,847$ | 7,142,847$ | 7,142,847$ | 7,142,847$ | 7,142,847$ | 7,142,847$ | ||
Travis Sanheim ![]() | D | 28 | 7,300,000$ | 7,300,000$ | 7,300,000$ | 7,300,000$ | 7,300,000$ | 7,300,000$ | 7,300,000$ | 7,300,000$ | UFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
94,055,490$ | -1,750,000$ | 87,367,952$ | 632,048$ |
Arena | Goal Horn | About us | |
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![]() | Name | Canadian Tire Centre | |
City | Ottawa | ||
Capacity | 19153 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 3000 | 4153 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 19153 | 150 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
94,055,490$ | 94,055,491$ | 0$ | -1,750,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 464,156$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 514,612$ | 98,805,504$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
100,563,039$ | 87,367,952$ | 242,832,595$ | 142,269,556$ |
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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 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Anton Johansson | 2023 | 224 | |||
Charlie Elick | 2024 | 39 | |||
Eli Sebastian | 2023 | 208 | |||
Gracyn Sawchyn | 2023 | 43 | |||
Hunter Laing | 2024 | 200 | |||
Jakub Malek | 2021 | 95 | |||
Jordan Tourigny | 2023 | 147 | |||
Kirill Slepets | 2019 | 89 | |||
Kocha Delic | 2022 | 146 | |||
Linus Eriksson | 2024 | 51 | |||
Lukas Fischer | 2024 | 81 | |||
Matthew Soto | 2023 | 136 | |||
Nick Malik | 2020 | 181 | |||
Owen Phillips | 2024 | 217 | |||
Semyon Chistyakov | 2019 | 126 | |||
Tanner Ludtke | 2023 | 77 |
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