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Full Scoreboard »» |
Ottawa Senators 10-7-0, 20pts · 12th in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 91 | RW | 100.00 | 76 | 44 | 95 | 90 | 80 | 75 | 89 | 77 | 25 | 81 | 77 | 64 | 61 | 74 | 78 | 78 | 50 | 0 | 30 | 7,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 40 | 88 | 71 | 63 | 57 | 90 | 68 | 64 | 63 | 57 | 62 | 25 | 47 | 47 | 63 | 50 | 0 | 22 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 43 | 90 | 86 | 67 | 69 | 97 | 78 | 43 | 75 | 76 | 64 | 25 | 65 | 65 | 76 | 50 | 0 | 27 | 2,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 52 | 85 | 84 | 70 | 74 | 97 | 81 | 86 | 81 | 87 | 74 | 25 | 62 | 62 | 82 | 50 | 0 | 21 | 894,167$/1yrs | |||
![]() | 0 | C | 100.00 | 67 | 42 | 72 | 85 | 74 | 79 | 79 | 96 | 81 | 89 | 84 | 65 | 65 | 87 | 95 | 81 | 50 | 0 | 36 | 6,100,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 43 | 90 | 88 | 76 | 88 | 97 | 95 | 96 | 96 | 97 | 73 | 61 | 73 | 75 | 90 | 50 | 0 | 26 | 8,500,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 92 | 99 | 83 | 73 | 85 | 54 | 88 | 58 | 32 | 62 | 58 | 66 | 25 | 79 | 84 | 64 | 50 | 0 | 35 | 1,750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 40 | 86 | 94 | 63 | 81 | 96 | 94 | 34 | 91 | 85 | 61 | 85 | 74 | 75 | 82 | 50 | 0 | 30 | 11,642,857$/4yrs | |||
![]() | 0 | RW | 100.00 | 61 | 42 | 96 | 84 | 74 | 70 | 80 | 68 | 31 | 72 | 73 | 69 | 63 | 64 | 65 | 72 | 50 | 0 | 21 | 2,100,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 44 | 96 | 79 | 75 | 54 | 68 | 58 | 63 | 63 | 55 | 69 | 75 | 69 | 70 | 63 | 50 | 0 | 28 | 850,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 53 | 84 | 87 | 58 | 81 | 99 | 94 | 49 | 82 | 84 | 63 | 85 | 71 | 71 | 81 | 50 | 0 | 24 | 6,400,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 78 | 42 | 87 | 86 | 54 | 74 | 87 | 65 | 39 | 71 | 70 | 78 | 25 | 64 | 66 | 74 | 50 | 0 | 24 | 3,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 42 | 94 | 87 | 78 | 90 | 96 | 82 | 25 | 70 | 53 | 83 | 61 | 83 | 83 | 71 | 50 | 0 | 30 | 6,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 75 | 53 | 87 | 77 | 64 | 83 | 89 | 82 | 25 | 63 | 50 | 88 | 25 | 58 | 58 | 68 | 50 | 0 | 22 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 53 | 89 | 82 | 74 | 80 | 91 | 62 | 25 | 53 | 47 | 89 | 25 | 78 | 81 | 65 | 50 | 0 | 32 | 4,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 43 | 89 | 88 | 77 | 90 | 98 | 78 | 25 | 71 | 56 | 84 | 75 | 68 | 69 | 72 | 50 | 0 | 25 | 4,550,000$/4yrs | |||
![]() | 0 | D | 100.00 | 77 | 67 | 84 | 88 | 67 | 58 | 63 | 68 | 75 | 59 | 45 | 60 | 37 | 57 | 57 | 52 | 50 | 0 | 20 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 45 | 88 | 82 | 81 | 83 | 94 | 72 | 25 | 63 | 53 | 86 | 25 | 76 | 79 | 69 | 50 | 0 | 32 | 6,250,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 49 | 88 | 84 | 71 | 74 | 89 | 76 | 47 | 73 | 67 | 72 | 48 | 69 | 71 | 72 | 50 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 61 | 67 | 65 | 70 | 69 | 52 | 69 | 61 | 65 | 60 | 75 | 56 | 57 | 63 | 50 | 0 | 26 | 3,000,000$/1yrs |
![]() | 0 | 100.00 | 77 | 77 | 74 | 68 | 76 | 79 | 77 | 79 | 81 | 78 | 95 | 59 | 60 | 78 | 50 | 0 | 26 | 3,400,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 69 | 72 | 70 | 69 | 73 | 66 | 73 | 70 | 73 | 69 | 85 | 58 | 59 | 71 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 70 | 62 | 87 | 66 | 62 | 85 | 92 | 57 | 50 | 54 | 56 | 61 | 53 | 45 | 45 | 62 | 57 | 0 | 22 | 791,667$/2yrs | |||
![]() | 0 | LW | 100.00 | 77 | 74 | 85 | 76 | 74 | 75 | 78 | 63 | 50 | 56 | 65 | 66 | 62 | 45 | 45 | 66 | 57 | 0 | 21 | 863,333$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 71 | 88 | 78 | 71 | 78 | 84 | 57 | 25 | 49 | 49 | 64 | 47 | 47 | 47 | 60 | 57 | 0 | 21 | 863,333$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 49 | 53 | 66 | 70 | 48 | 49 | 50 | 55 | 49 | 49 | 30 | 44 | 44 | 50 | 57 | 0 | 23 | 925,000$/2yrs | ||||||
![]() | 0 | 100.00 | 47 | 57 | 71 | 68 | 45 | 93 | 45 | 51 | 90 | 81 | 45 | 44 | 44 | 63 | 57 | 0 | 20 | 820,000$/3yrs | ||||||
![]() | 0 | 100.00 | 44 | 48 | 60 | 82 | 41 | 43 | 50 | 52 | 45 | 46 | 30 | 44 | 44 | 46 | 57 | 0 | 23 | 750,000$/1yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Simon Dépatie |
---|
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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Evgeni Malkin | 0 | C | 17 | 5 | 14 | 19 | 3 | 22 | 0 | 42 | 57 | 9 | 36 | 8.77% | 6 | 19.04 | 2 | 3 | 5 | 50 | 0 | 0 | 0 | 1 | 1 | 2 | 53.54% | 254 | 10 | 6 | 0 | 0 | 1.17 | 2 | 2 | ||
2 | Leon Draisaitl | 0 | C/LW | 17 | 6 | 9 | 15 | -1 | 28 | 10 | 27 | 62 | 14 | 19 | 9.68% | 10 | 21.31 | 1 | 3 | 4 | 48 | 0 | 0 | 0 | 38 | 1 | 1 | 51.74% | 402 | 15 | 6 | 1 | 0 | 0.83 | 0 | 3 | ||
3 | Artemi Panarin | 0 | LW | 17 | 7 | 7 | 14 | -2 | 8 | 0 | 34 | 65 | 21 | 44 | 10.77% | 6 | 21.46 | 1 | 2 | 3 | 51 | 0 | 0 | 0 | 35 | 1 | 1 | 40.74% | 27 | 17 | 1 | 0 | 0 | 0.77 | 0 | 0 | ||
4 | Dylan Cozens | 0 | C/LW | 17 | 6 | 7 | 13 | 1 | 6 | 0 | 21 | 47 | 13 | 29 | 12.77% | 2 | 14.97 | 1 | 4 | 5 | 38 | 0 | 0 | 0 | 6 | 1 | 0 | 48.72% | 78 | 7 | 3 | 0 | 0 | 1.02 | 0 | 0 | ||
5 | Vladimir Tarasenko | 91 | RW | 17 | 5 | 5 | 10 | -4 | 5 | 5 | 20 | 38 | 17 | 20 | 13.16% | 9 | 17.38 | 2 | 0 | 2 | 37 | 0 | 0 | 0 | 0 | 0 | 0 | 29.41% | 17 | 10 | 9 | 0 | 0 | 0.68 | 0 | 0 | ||
6 | Alex DeBrincat | 0 | LW/RW | 17 | 4 | 4 | 8 | -7 | 12 | 0 | 31 | 28 | 11 | 15 | 14.29% | 4 | 17.71 | 3 | 0 | 3 | 39 | 0 | 0 | 0 | 0 | 0 | 0 | 43.84% | 73 | 9 | 6 | 0 | 0 | 0.53 | 0 | 0 | ||
7 | Rasmus Andersson | 0 | D | 17 | 1 | 5 | 6 | -5 | 8 | 0 | 20 | 27 | 8 | 16 | 3.70% | 29 | 26.11 | 1 | 2 | 3 | 52 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 4 | 17 | 0 | 0 | 0.27 | 0 | 0 | ||
8 | J.J. Moser | 0 | D | 17 | 0 | 5 | 5 | -3 | 6 | 0 | 17 | 18 | 7 | 6 | 0.00% | 27 | 20.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 1 | 13 | 0 | 0 | 0.29 | 0 | 0 | ||
9 | Dominik Kubalik | 0 | LW/RW | 17 | 4 | 1 | 5 | -2 | 2 | 0 | 32 | 23 | 7 | 14 | 17.39% | 13 | 16.62 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 0 | 1 | 30.56% | 36 | 9 | 4 | 0 | 0 | 0.35 | 0 | 0 | ||
10 | Kaapo Kakko | 0 | RW | 17 | 1 | 4 | 5 | 3 | 0 | 0 | 8 | 19 | 6 | 12 | 5.26% | 4 | 11.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 1 | 0 | 28.57% | 7 | 13 | 5 | 0 | 0 | 0.50 | 0 | 0 | ||
11 | Cam Fowler | 0 | D | 17 | 0 | 3 | 3 | -1 | 5 | 5 | 10 | 19 | 7 | 9 | 0.00% | 22 | 22.92 | 0 | 1 | 1 | 38 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 4 | 11 | 0 | 0 | 0.15 | 0 | 0 | ||
12 | Ryan Reaves | 0 | RW | 17 | 2 | 1 | 3 | -4 | 4 | 0 | 18 | 11 | 8 | 7 | 18.18% | 2 | 7.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 28.95% | 38 | 1 | 2 | 0 | 0 | 0.47 | 0 | 0 | ||
13 | Mattias Ekholm | 0 | D | 17 | 0 | 3 | 3 | 0 | 6 | 0 | 24 | 21 | 6 | 7 | 0.00% | 25 | 23.43 | 0 | 1 | 1 | 52 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 3 | 16 | 0 | 0 | 0.15 | 0 | 0 | ||
14 | Christopher Tanev | 0 | D | 17 | 0 | 2 | 2 | -1 | 4 | 0 | 9 | 7 | 4 | 6 | 0.00% | 18 | 16.60 | 0 | 1 | 1 | 38 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 5 | 0 | 0 | 0.14 | 0 | 0 | ||
15 | Kailer Yamamoto | 0 | RW | 17 | 2 | 0 | 2 | 3 | 4 | 0 | 34 | 19 | 11 | 10 | 10.53% | 5 | 11.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 71.43% | 7 | 3 | 4 | 0 | 0 | 0.21 | 0 | 0 | ||
16 | Jack Drury | 0 | C | 17 | 0 | 1 | 1 | -5 | 4 | 0 | 6 | 22 | 4 | 18 | 0.00% | 3 | 9.46 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 45.83% | 24 | 3 | 1 | 0 | 0 | 0.12 | 1 | 3 | ||
17 | Jamie Drysdale | 0 | D | 17 | 0 | 1 | 1 | -2 | 2 | 0 | 13 | 4 | 1 | 1 | 0.00% | 10 | 11.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.10 | 0 | 0 | ||
18 | Devin Shore | 0 | LW/RW | 17 | 0 | 0 | 0 | -4 | 2 | 0 | 16 | 7 | 6 | 5 | 0.00% | 3 | 8.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 33.33% | 15 | 2 | 4 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 306 | 43 | 72 | 115 | -31 | 128 | 20 | 382 | 494 | 160 | 274 | 8.70% | 198 | 16.53 | 11 | 17 | 28 | 452 | 0 | 0 | 0 | 314 | 7 | 5 | 48.57% | 978 | 112 | 118 | 1 | 0 | 0.45 | 3 | 8 |
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 | Vitek Vanecek | 17 | 10 | 6 | 0 | 0.918 | 2.60 | 970 | 2 | 0 | 42 | 515 | 253 | 1 | 0 | 1.000 | 9 | 17 | 0 | 3 | 3 | 1 | |
2 | Alex Nedeljkovic | 2 | 0 | 1 | 0 | 0.840 | 3.81 | 63 | 0 | 0 | 4 | 25 | 15 | 0 | 0 | 0.000 | 0 | 0 | 17 | 0 | 0 | 0 | |
Team Total or Average | 19 | 10 | 7 | 0 | 0.915 | 2.67 | 1033 | 2 | 0 | 46 | 540 | 268 | 1 | 0 | 1.000 | 9 | 17 | 17 | 3 | 3 | 1 |
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 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 43 | 12 | 19 | 12 | 0 | 54 | 23 | 15 | 47 | 11 | 1 | 9.09% | 5 | 2 | 60.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 43 | 23 | 37 | 17 | 38 | 21 | 28.6% | 11.6% | 77.8% | 89.4 | FUN | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 3 | 0 | 73 | 28 | 15 | 30 | 0 | 70 | 16 | 45 | 40 | 4 | 1 | 25.00% | 10 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 42 | 24 | 43 | 18 | 33 | 15 | 62.5% | 8.2% | 95.7% | 103.9 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 1 | 1 | 25 | 12 | 3 | 9 | 4 | 31 | 7 | 10 | 18 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 20 | 11 | 25 | 10 | 18 | 9 | 57.1% | 16.0% | 90.3% | 106.3 | FUN | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 56 | 20 | 15 | 21 | 0 | 63 | 37 | 12 | 41 | 7 | 1 | 14.29% | 6 | 2 | 66.67% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 40 | 21 | 43 | 18 | 36 | 18 | 66.7% | 5.4% | 95.2% | 100.6 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 29 | 8 | 7 | 14 | 0 | 23 | 12 | 4 | 21 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 20 | 11 | 21 | 9 | 18 | 8 | 75.0% | 10.3% | 95.7% | 106.0 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 39 | 7 | 22 | 10 | 0 | 33 | 7 | 6 | 30 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 24 | 14 | 17 | 8 | 17 | 9 | 66.7% | 5.1% | 97.0% | 102.1 | DULL | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 3 | 0 | 33 | 9 | 12 | 12 | 0 | 38 | 13 | 6 | 25 | 7 | 3 | 42.86% | 3 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 21 | 12 | 23 | 9 | 15 | 8 | 60.0% | 18.2% | 94.7% | 112.9 | LUCKY | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 24 | 5 | 11 | 8 | 0 | 30 | 9 | 4 | 19 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 20 | 11 | 20 | 9 | 19 | 9 | 33.3% | 8.3% | 86.7% | 95.0 | Unlucky | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 1 | 29 | 15 | 7 | 6 | 3 | 39 | 13 | 8 | 29 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 20 | 10 | 23 | 10 | 21 | 9 | 50.0% | 6.9% | 97.4% | 104.3 | DULL | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 4 | 2 | 0 | 0 | 24 | 12 | 7 | 5 | 0 | 36 | 13 | 2 | 23 | 4 | 3 | 75.00% | 1 | 1 | 0.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 19 | 10 | 22 | 8 | 18 | 9 | 50.0% | 25.0% | 88.9% | 113.9 | FUN | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 0 | 1 | 30 | 11 | 9 | 7 | 6 | 31 | 11 | 10 | 16 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 26 | 15 | 19 | 9 | 19 | 9 | 75.0% | 10.0% | 93.5% | 103.5 | LUCKY | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 29 | 12 | 8 | 9 | 0 | 33 | 9 | 0 | 25 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 22 | 13 | 21 | 8 | 16 | 8 | 20.0% | 3.4% | 87.9% | 91.3 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 7 | 15 | 9 | 0 | 30 | 16 | 4 | 21 | 8 | 1 | 12.50% | 2 | 2 | 0.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 23 | 13 | 18 | 9 | 17 | 9 | 0.0% | 3.2% | 90.0% | 93.2 | Unlucky | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 10 | 9 | 10 | 0 | 29 | 12 | 4 | 27 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 22 | 14 | 21 | 8 | 16 | 7 | 40.0% | 6.9% | 89.7% | 96.6 | Unlucky | |
_Vs Division | 7 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 23 | 13 | 10 | 12 | 0.857 | 23 | 36 | 59 | 0 | 0 | 9 | 7 | 6 | 1 | 215 | 84 | 56 | 74 | 3 | 246 | 92 | 73 | 158 | 26 | 9 | 34.62% | 24 | 3 | 87.50% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 144 | 79 | 156 | 65 | 124 | 61 | 58.3% | 10.7% | 94.7% | 105.4 | LUCKY | |
_Vs Conference | 13 | 6 | 5 | 0 | 0 | 0 | 2 | 0 | 38 | 36 | 2 | 16 | 0.615 | 38 | 59 | 97 | 0 | 0 | 15 | 10 | 11 | 2 | 367 | 128 | 111 | 126 | 7 | 414 | 159 | 110 | 284 | 50 | 11 | 22.00% | 40 | 7 | 82.50% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 272 | 150 | 280 | 121 | 237 | 119 | 48.2% | 10.4% | 91.3% | 101.7 | LUCKY | |
_Since Last GM Reset | 17 | 7 | 7 | 0 | 0 | 0 | 3 | 0 | 46 | 46 | 0 | 20 | 0.588 | 46 | 72 | 118 | 0 | 0 | 16 | 14 | 13 | 3 | 494 | 168 | 159 | 162 | 13 | 540 | 198 | 130 | 382 | 56 | 11 | 19.64% | 50 | 8 | 84.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 369 | 208 | 359 | 155 | 306 | 154 | 47.9% | 9.3% | 91.5% | 100.8 | LUCKY | |
Total | 17 | 7 | 7 | 0 | 0 | 0 | 3 | 0 | 46 | 46 | 0 | 20 | 0.588 | 46 | 72 | 118 | 0 | 0 | 16 | 14 | 13 | 3 | 494 | 168 | 159 | 162 | 13 | 540 | 198 | 130 | 382 | 56 | 11 | 19.64% | 50 | 8 | 84.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 369 | 208 | 359 | 155 | 306 | 154 | 47.9% | 9.3% | 91.5% | 100.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 343 |
Neutral Zone Start | 235 |
Defensive Zone Start | 387 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 475 |
Faceoffs Lost | 490 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 28.8 | 30.68 |
Overtime | 29.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 35 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 9 | 1 |
Lost | 4 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 56 |
---|---|
PP Goal | 11 |
PK Attempt | 50 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 29.1 |
Shots Against | 31.8 |
Goals For | 2.7 |
Goals Against | 2.7 |
Hits | 22.5 |
Shots Blocked | 11.6 |
Pim | 7.6 |
Projected Total Cap Hit | 82,312,024$ |
Projected Cap Space | 187,976$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 21,435,400$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Senators Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex DeBrincat ![]() | LW/RW | 24 | 6,400,000$ | 6,400,000$ | |||||||
Alex Nedeljkovic ![]() | G | 26 | 3,000,000$ | 3,000,000$ | |||||||
Artemi Panarin ![]() | LW | 30 | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | ||||
Cam Fowler ![]() | D | 30 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | ||||
Christopher Tanev ![]() | D | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Devin Shore ![]() | LW/RW | 28 | 850,000$ | 850,000$ | |||||||
Dominik Kubalik ![]() | LW/RW | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Dylan Cozens ![]() | C/LW | 21 | 894,167$ | 894,167$ | |||||||
Evgeni Malkin ![]() | C | 36 | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | ||||
J.J. Moser ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | ||||||
Jack Drury ![]() | C | 22 | 925,000$ | 925,000$ | |||||||
Jamie Drysdale ![]() | D | 20 | 925,000$ | 925,000$ | |||||||
Kaapo Kakko ![]() | RW | 21 | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||||
Kailer Yamamoto ![]() | RW | 24 | 3,100,000$ | 3,100,000$ | 3,100,000$ | ||||||
Leon Draisaitl ![]() | C/LW | 26 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | |||||
Mattias Ekholm ![]() | D | 32 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | ||||
Rasmus Andersson ![]() | D | 25 | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | ||||
Ryan Reaves ![]() | RW | 35 | 1,750,000$ | 1,750,000$ | |||||||
Vitek Vanecek ![]() | G | 26 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | |||||
Vladimir Tarasenko ![]() | RW | 30 | 7,500,000$ | 7,500,000$ |
Forward Lines | |||||||
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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 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 43 | 12 | 19 | 12 | 0 | 54 | 23 | 15 | 47 | 11 | 1 | 9.09% | 5 | 2 | 60.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 43 | 23 | 37 | 17 | 38 | 21 | 28.6% | 11.6% | 77.8% | 89.4 | FUN | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 3 | 0 | 73 | 28 | 15 | 30 | 0 | 70 | 16 | 45 | 40 | 4 | 1 | 25.00% | 10 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 42 | 24 | 43 | 18 | 33 | 15 | 62.5% | 8.2% | 95.7% | 103.9 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 1 | 1 | 25 | 12 | 3 | 9 | 4 | 31 | 7 | 10 | 18 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 20 | 11 | 25 | 10 | 18 | 9 | 57.1% | 16.0% | 90.3% | 106.3 | FUN | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 56 | 20 | 15 | 21 | 0 | 63 | 37 | 12 | 41 | 7 | 1 | 14.29% | 6 | 2 | 66.67% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 40 | 21 | 43 | 18 | 36 | 18 | 66.7% | 5.4% | 95.2% | 100.6 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 29 | 8 | 7 | 14 | 0 | 23 | 12 | 4 | 21 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 20 | 11 | 21 | 9 | 18 | 8 | 75.0% | 10.3% | 95.7% | 106.0 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 39 | 7 | 22 | 10 | 0 | 33 | 7 | 6 | 30 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 24 | 14 | 17 | 8 | 17 | 9 | 66.7% | 5.1% | 97.0% | 102.1 | DULL | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 3 | 0 | 33 | 9 | 12 | 12 | 0 | 38 | 13 | 6 | 25 | 7 | 3 | 42.86% | 3 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 21 | 12 | 23 | 9 | 15 | 8 | 60.0% | 18.2% | 94.7% | 112.9 | LUCKY | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 24 | 5 | 11 | 8 | 0 | 30 | 9 | 4 | 19 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 20 | 11 | 20 | 9 | 19 | 9 | 33.3% | 8.3% | 86.7% | 95.0 | Unlucky | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 1 | 29 | 15 | 7 | 6 | 3 | 39 | 13 | 8 | 29 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 20 | 10 | 23 | 10 | 21 | 9 | 50.0% | 6.9% | 97.4% | 104.3 | DULL | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 4 | 2 | 0 | 0 | 24 | 12 | 7 | 5 | 0 | 36 | 13 | 2 | 23 | 4 | 3 | 75.00% | 1 | 1 | 0.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 19 | 10 | 22 | 8 | 18 | 9 | 50.0% | 25.0% | 88.9% | 113.9 | FUN | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 0 | 1 | 30 | 11 | 9 | 7 | 6 | 31 | 11 | 10 | 16 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 26 | 15 | 19 | 9 | 19 | 9 | 75.0% | 10.0% | 93.5% | 103.5 | LUCKY | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 29 | 12 | 8 | 9 | 0 | 33 | 9 | 0 | 25 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 22 | 13 | 21 | 8 | 16 | 8 | 20.0% | 3.4% | 87.9% | 91.3 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 7 | 15 | 9 | 0 | 30 | 16 | 4 | 21 | 8 | 1 | 12.50% | 2 | 2 | 0.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 23 | 13 | 18 | 9 | 17 | 9 | 0.0% | 3.2% | 90.0% | 93.2 | Unlucky | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 10 | 9 | 10 | 0 | 29 | 12 | 4 | 27 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 22 | 14 | 21 | 8 | 16 | 7 | 40.0% | 6.9% | 89.7% | 96.6 | Unlucky | |
_Vs Division | 7 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 23 | 13 | 10 | 12 | 0.857 | 23 | 36 | 59 | 0 | 0 | 9 | 7 | 6 | 1 | 215 | 84 | 56 | 74 | 3 | 246 | 92 | 73 | 158 | 26 | 9 | 34.62% | 24 | 3 | 87.50% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 144 | 79 | 156 | 65 | 124 | 61 | 58.3% | 10.7% | 94.7% | 105.4 | LUCKY | |
_Vs Conference | 13 | 6 | 5 | 0 | 0 | 0 | 2 | 0 | 38 | 36 | 2 | 16 | 0.615 | 38 | 59 | 97 | 0 | 0 | 15 | 10 | 11 | 2 | 367 | 128 | 111 | 126 | 7 | 414 | 159 | 110 | 284 | 50 | 11 | 22.00% | 40 | 7 | 82.50% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 272 | 150 | 280 | 121 | 237 | 119 | 48.2% | 10.4% | 91.3% | 101.7 | LUCKY | |
_Since Last GM Reset | 17 | 7 | 7 | 0 | 0 | 0 | 3 | 0 | 46 | 46 | 0 | 20 | 0.588 | 46 | 72 | 118 | 0 | 0 | 16 | 14 | 13 | 3 | 494 | 168 | 159 | 162 | 13 | 540 | 198 | 130 | 382 | 56 | 11 | 19.64% | 50 | 8 | 84.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 369 | 208 | 359 | 155 | 306 | 154 | 47.9% | 9.3% | 91.5% | 100.8 | LUCKY | |
Total | 17 | 7 | 7 | 0 | 0 | 0 | 3 | 0 | 46 | 46 | 0 | 20 | 0.588 | 46 | 72 | 118 | 0 | 0 | 16 | 14 | 13 | 3 | 494 | 168 | 159 | 162 | 13 | 540 | 198 | 130 | 382 | 56 | 11 | 19.64% | 50 | 8 | 84.00% | 0 | 162 | 343 | 47.23% | 202 | 387 | 52.20% | 111 | 235 | 47.23% | 369 | 208 | 359 | 155 | 306 | 154 | 47.9% | 9.3% | 91.5% | 100.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 343 |
Neutral Zone Start | 235 |
Defensive Zone Start | 387 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 475 |
Faceoffs Lost | 490 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 28.8 | 30.68 |
Overtime | 29.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 35 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 9 | 1 |
Lost | 4 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 56 |
---|---|
PP Goal | 11 |
PK Attempt | 50 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 29.1 |
Shots Against | 31.8 |
Goals For | 2.7 |
Goals Against | 2.7 |
Hits | 22.5 |
Shots Blocked | 11.6 |
Pim | 7.6 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,312,024$ | 0$ | 82,312,024$ | 187,976$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Centre Canadian Tire | |
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 | 74485 | 62843 | 24451 | 48775 | 12025 |
Attendance PCT | 95.49% | 96.68% | 94.04% | 93.80% | 92.50% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
28 | 17121 - 95.12% | 615,893$ | 8,006,613$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,312,024$ | 82,312,024$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
21,435,400$ | 82,312,024$ | 21,435,400$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
17,245,013$ | 142 | 428,708$ | 60,876,536$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
63,946,713$ | 82,312,024$ | -509,856,667$ | -556,558,367$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |
---|---|---|---|---|---|
1 ballo ott 2023 | |||||
Aku Koskenvuo | 2021 | 142 | |||
Alan Quine | |||||
Albert Lyckasen | 2020 | 195 | |||
Alexander Petrovic | |||||
Alexis Pépin | |||||
Angus Crookshank | 2018 | 142 | |||
Antoine Morand | |||||
Brett Lernout | |||||
Cal Thomas | 2021 | 179 | |||
Casey Nelson | |||||
Casey Staum | 2016 | 137 | |||
Charles Leddy | 2022 | 140 | |||
Cole Schwindt | Link | ||||
Connor Hurley | |||||
D'Artagnan Joly | |||||
Daniel Audette | |||||
Daniel Bukac | |||||
Danny O'Regan | Link | ||||
Dans Locmelis | 2022 | 133 | |||
David Noel | |||||
Dominic Basse | 2019 | 177 | |||
Eric Hjorth | 2019 | 115 | |||
Gage Quinney | |||||
Gannon Laroque | 2021 | 110 | |||
Garrett Brown | 2022 | 115 | |||
Gemel Smith | Link | ||||
George Fegaras | 2022 | 101 | |||
Gianni Fairbrother | 2019 | 64 | |||
Haakon Hanelt (F/D) | 2021 | 156 | |||
Hayden Hawkey | |||||
Hugo Fagerblom | |||||
Hugo Gabrielson | 2021 | 174 | |||
Jackson Hallum | 2020 | 102 | |||
Jacob Olofsson | 2018 | 25 | |||
Janne Juvonen | |||||
Joel Kellman | Link | ||||
Kieran Ruscheinski | 2019 | 208 | |||
Kirill Ustimenko | |||||
Kristoffer Gunnarson | |||||
Larry Keenan | 2023 | 132 | |||
Lucas Forsell | 2021 | 206 | |||
Luke Johnson | Link | ||||
Marcus Karlberg | 2018 | 80 | |||
Mark Pysyk | Link | ||||
Mathias Brome | Link | ||||
Matthew Thiessen | 2018 | 204 | |||
Matvei Michkov | 2023 | 4 | |||
Michael Callow | 2022 | 160 | |||
Nate Prosser | Link | ||||
Nikita Ishimnikov | 2023 | 164 | |||
Nikita Yevseyev | 2022 | 197 | |||
Nikolai Chebykin | 2016 | 197 | |||
Nolan DeJong | |||||
Oliver Johansson | 2021 | 95 | |||
Olle Alsing | Link | ||||
Roberto Luongo | Link | ||||
Roni Hirvonen | 2020 | 71 | |||
Ryan O'Reilly | 2018 | 111 | |||
Samuel Jonsson | 2022 | 165 | |||
Simon Kjellberg | 2018 | 173 | |||
Tarmo Reunanen | Link | ||||
Tobias Rieder | Link | ||||
Trevor Janicke | 2019 | 146 | |||
Ty Henricks | 2023 | 196 | |||
Tyler Lewington | Link | ||||
Tyrel Bauer | 2020 | 164 | |||
Tyrell Goulbourne | |||||
Viktor Tikhonov | |||||
Vladislav Firstov | 2019 | 53 | |||
Zach Nehring | 2023 | 100 |
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