|
|
|
|
|
|
|
Full Scoreboard ยป |
Ottawa Senators 23-24-4, 50pts · 8th in Eastern Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 71 | 12 | 75 | 92 | 86 | 97 | 96 | 99 | 32 | 99 | 99 | 54 | 75 | 68 | 69 | 77 | 56 | 82 | 25 | 9,750,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 8 | 95 | 85 | 86 | 99 | 99 | 90 | 30 | 78 | 92 | 40 | 54 | 88 | 94 | 88 | 56 | 77 | 36 | 6,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 6 | 93 | 78 | 81 | 97 | 97 | 88 | 95 | 93 | 73 | 55 | 62 | 76 | 78 | 73 | 56 | 76 | 29 | 6,500,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 71 | 31 | 80 | 79 | 80 | 78 | 95 | 88 | 76 | 81 | 79 | 71 | 79 | 51 | 51 | 81 | 60 | 74 | 22 | 5,200,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 56 | 28 | 89 | 80 | 70 | 88 | 95 | 87 | 66 | 78 | 84 | 54 | 77 | 45 | 45 | 88 | 56 | 72 | 20 | 4,211,737$/5yrs | |||
![]() | 0 | C/RW | 100.00 | 33 | 1 | 99 | 89 | 72 | 82 | 85 | 82 | 84 | 84 | 70 | 48 | 25 | 68 | 69 | 61 | 56 | 71 | 25 | 4,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 49 | 1 | 99 | 81 | 71 | 73 | 85 | 78 | 31 | 82 | 84 | 52 | 75 | 65 | 66 | 63 | 56 | 71 | 27 | 2,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 49 | 2 | 92 | 73 | 70 | 93 | 83 | 72 | 96 | 84 | 72 | 52 | 25 | 80 | 84 | 77 | 46 | 70 | 36 | 1,650,000$/2yrs | |||
![]() | 0 | C | 100.00 | 68 | 9 | 85 | 85 | 77 | 79 | 98 | 74 | 74 | 70 | 71 | 59 | 41 | 63 | 64 | 64 | 56 | 70 | 25 | 2,500,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 6 | 96 | 84 | 84 | 82 | 90 | 70 | 78 | 64 | 72 | 56 | 63 | 70 | 71 | 70 | 56 | 69 | 29 | 950,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 55 | 63 | 85 | 78 | 73 | 94 | 75 | 57 | 69 | 75 | 52 | 25 | 72 | 73 | 62 | 56 | 69 | 25 | 1,250,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 80 | 12 | 83 | 83 | 71 | 81 | 78 | 70 | 35 | 62 | 78 | 39 | 25 | 74 | 74 | 66 | 56 | 66 | 27 | 1,200,000$/3yrs | |||
![]() | 0 | D | 100.00 | 72 | 20 | 85 | 90 | 85 | 99 | 99 | 82 | 25 | 73 | 69 | 90 | 25 | 77 | 78 | 62 | 56 | 81 | 26 | 9,800,000$/4yrs | |||
![]() | 0 | D | 100.00 | 74 | 11 | 80 | 88 | 78 | 98 | 90 | 72 | 25 | 66 | 51 | 83 | 25 | 81 | 83 | 58 | 56 | 76 | 28 | 6,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 80 | 9 | 86 | 87 | 80 | 98 | 97 | 60 | 29 | 57 | 50 | 85 | 25 | 74 | 75 | 57 | 56 | 76 | 27 | 6,750,000$/4yrs | |||
![]() | 0 | D | 100.00 | 80 | 30 | 96 | 78 | 80 | 82 | 92 | 59 | 25 | 65 | 48 | 85 | 25 | 60 | 61 | 65 | 56 | 72 | 30 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 53 | 1 | 99 | 78 | 68 | 92 | 80 | 72 | 25 | 55 | 49 | 87 | 25 | 60 | 60 | 62 | 56 | 70 | 29 | 2,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 63 | 32 | 77 | 77 | 70 | 73 | 81 | 77 | 25 | 75 | 65 | 83 | 59 | 51 | 51 | 83 | 56 | 70 | 24 | 1,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 66 | 15 | 87 | 83 | 77 | 87 | 91 | 78 | 50 | 74 | 71 | 64 | 45 | 68 | 69 | 70 | 56 | 73 |
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 | 84 | 69 | 83 | 71 | 86 | 91 | 91 | 91 | 91 | 82 | 93 | 67 | 68 | 77 | 56 | 80 | 30 | 3,250,000$/2yrs |
![]() | 0 | 100.00 | 89 | 68 | 67 | 70 | 96 | 84 | 80 | 91 | 92 | 88 | 95 | 64 | 65 | 88 | 55 | 79 | 35 | 2,500,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 87 | 69 | 75 | 71 | 91 | 88 | 86 | 91 | 92 | 85 | 94 | 66 | 67 | 83 | 56 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Alain Vigneault | 46 | 86 | 78 | 71 | 84 | 65 | 66 | CAN | 62 | 1 | 2,500,000$ |
General Manager | Pete |
---|
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 | William Nylander | 0 | C/RW | 51 | 17 | 25 | 42 | 1 | 0 | 0 | 1 | 165 | 45 | 98 | 10.30% | 10 | 16.91 | 4 | 6 | 10 | 135 | 0 | 0 | 0 | 0 | 1 | 1 | 52.78% | 468 | 47 | 3 | 0 | 1 | 0.97 | 0 | 4 | |
2 | Alex Ovechkin | 0 | LW/RW | 51 | 15 | 22 | 37 | -5 | 8 | 0 | 73 | 171 | 48 | 104 | 8.77% | 13 | 18.05 | 4 | 5 | 9 | 140 | 0 | 0 | 0 | 3 | 2 | 1 | 37.10% | 62 | 30 | 10 | 0 | 0 | 0.80 | 1 | 4 | |
3 | Ryan Johansen | 0 | C | 51 | 15 | 19 | 34 | -7 | 4 | 0 | 39 | 144 | 44 | 74 | 10.42% | 20 | 18.31 | 5 | 6 | 11 | 139 | 0 | 0 | 0 | 0 | 1 | 2 | 54.22% | 1018 | 11 | 15 | 0 | 0 | 0.73 | 1 | 4 | |
4 | Mikko Rantanen | 0 | RW | 51 | 13 | 21 | 34 | -11 | 28 | 0 | 98 | 174 | 48 | 112 | 7.47% | 16 | 17.92 | 3 | 8 | 11 | 139 | 0 | 0 | 0 | 0 | 4 | 0 | 32.26% | 62 | 52 | 16 | 0 | 0 | 0.74 | 2 | 2 | |
5 | Brett Leason | 0 | RW | 51 | 12 | 18 | 30 | 2 | 38 | 0 | 84 | 145 | 51 | 94 | 8.28% | 22 | 18.50 | 2 | 2 | 4 | 77 | 0 | 1 | 1 | 28 | 2 | 1 | 46.03% | 63 | 30 | 19 | 0 | 0 | 0.64 | 3 | 4 | |
6 | Brayden Tracey | 0 | LW | 51 | 19 | 9 | 28 | 3 | 4 | 0 | 28 | 124 | 25 | 72 | 15.32% | 18 | 17.36 | 2 | 4 | 6 | 135 | 0 | 0 | 0 | 0 | 3 | 1 | 30.65% | 62 | 23 | 8 | 0 | 1 | 0.63 | 0 | 0 | |
7 | Adrian Kempe | 0 | C | 51 | 12 | 13 | 25 | -8 | 14 | 0 | 54 | 98 | 42 | 59 | 12.24% | 20 | 16.35 | 4 | 5 | 9 | 136 | 0 | 0 | 0 | 2 | 3 | 0 | 48.10% | 842 | 22 | 7 | 1 | 0 | 0.60 | 0 | 0 | |
8 | Hampus Lindholm | 0 | D | 51 | 0 | 21 | 21 | -6 | 18 | 0 | 84 | 66 | 30 | 28 | 0.00% | 72 | 22.92 | 0 | 3 | 3 | 136 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 12 | 50 | 0 | 0 | 0.36 | 0 | 0 | |
9 | Aaron Ekblad | 0 | D | 51 | 1 | 20 | 21 | -14 | 16 | 0 | 82 | 104 | 43 | 39 | 0.96% | 117 | 26.16 | 0 | 3 | 3 | 139 | 0 | 0 | 0 | 73 | 0 | 0 | 0.00% | 0 | 23 | 62 | 0 | 0 | 0.31 | 0 | 0 | |
10 | Cale Makar | 0 | D | 51 | 3 | 16 | 19 | -9 | 18 | 0 | 43 | 59 | 23 | 25 | 5.08% | 63 | 18.33 | 1 | 4 | 5 | 140 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 9 | 34 | 0 | 0 | 0.41 | 0 | 0 | |
11 | Andreas Johnsson | 0 | LW/RW | 51 | 3 | 11 | 14 | -4 | 0 | 0 | 10 | 95 | 31 | 64 | 3.16% | 10 | 14.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 22.50% | 40 | 22 | 6 | 0 | 0 | 0.39 | 0 | 0 | |
12 | Sam Bennett | 0 | C/LW | 51 | 7 | 6 | 13 | 4 | 22 | 0 | 86 | 106 | 38 | 57 | 6.60% | 13 | 13.08 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 68 | 0 | 0 | 29.21% | 89 | 17 | 12 | 0 | 0 | 0.39 | 0 | 0 | |
13 | Paul Stastny | 0 | C | 51 | 4 | 8 | 12 | -9 | 4 | 0 | 14 | 67 | 19 | 40 | 5.97% | 18 | 12.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 2 | 0 | 53.09% | 486 | 10 | 15 | 0 | 0 | 0.39 | 0 | 0 | |
14 | Brady Skjei | 0 | D | 51 | 4 | 8 | 12 | -18 | 12 | 0 | 86 | 54 | 21 | 31 | 7.41% | 63 | 21.61 | 1 | 1 | 2 | 137 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 8 | 42 | 0 | 0 | 0.22 | 0 | 0 | |
15 | Frank Vatrano | 0 | LW/RW | 51 | 7 | 4 | 11 | -3 | 8 | 0 | 54 | 55 | 20 | 25 | 12.73% | 5 | 9.66 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 74 | 2 | 1 | 38.46% | 13 | 22 | 5 | 0 | 0 | 0.45 | 0 | 0 | |
16 | Jordan Oesterle | 0 | D | 51 | 4 | 7 | 11 | 8 | 0 | 0 | 13 | 46 | 17 | 14 | 8.70% | 53 | 15.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 1 | 0 | 0.00% | 0 | 7 | 22 | 0 | 0 | 0.28 | 0 | 0 | |
17 | Nick Bjugstad | 0 | C/RW | 51 | 4 | 6 | 10 | -4 | 0 | 0 | 25 | 80 | 22 | 58 | 5.00% | 14 | 10.22 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 76 | 1 | 0 | 52.22% | 90 | 25 | 9 | 0 | 0 | 0.38 | 0 | 0 | |
18 | Justin Holl | 0 | D | 51 | 0 | 9 | 9 | 10 | 6 | 0 | 70 | 42 | 17 | 22 | 0.00% | 58 | 15.98 | 0 | 0 | 0 | 5 | 0 | 1 | 1 | 72 | 0 | 0 | 0.00% | 0 | 9 | 31 | 0 | 0 | 0.22 | 0 | 0 | |
Team Total or Average | 918 | 140 | 243 | 383 | -70 | 200 | 0 | 944 | 1795 | 584 | 1016 | 7.80% | 605 | 16.86 | 26 | 47 | 73 | 1475 | 1 | 2 | 3 | 656 | 22 | 7 | 49.77% | 3295 | 379 | 366 | 1 | 2 | 0.49 | 7 | 18 |
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 | Anton Khudobin | Senators | 25 | 12 | 9 | 3 | 0.930 | 2.33 | 1440 | 2 | 0 | 56 | 801 | 371 | 2 | 2 | 0.833 | 6 | 24 | 27 | 6 | 3 | 0 |
2 | Petr Mrazek | Senators | 28 | 11 | 15 | 1 | 0.912 | 2.97 | 1637 | 0 | 0 | 81 | 922 | 370 | 0 | 4 | 1.000 | 6 | 27 | 24 | 5 | 2 | 1 |
Team Total or Average | 53 | 23 | 24 | 4 | 0.920 | 2.67 | 3078 | 2 | 0 | 137 | 1723 | 741 | 2 | 6 | 0.917 | 12 | 51 | 51 | 11 | 5 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 3 | 0 | 2 | 1 | 88 | 27 | 26 | 35 | 4 | 59 | 19 | 10 | 32 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 51 | 32 | 38 | 18 | 35 | 18 | 75.0% | 6.8% | 94.9% | 101.7 | DULL | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 77 | 29 | 28 | 20 | 0 | 76 | 29 | 6 | 34 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 38 | 22 | 47 | 18 | 34 | 15 | 57.1% | 6.5% | 96.1% | 102.5 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 33 | 10 | 12 | 11 | 0 | 27 | 16 | 8 | 14 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 21 | 12 | 21 | 8 | 16 | 8 | 25.0% | 3.0% | 88.9% | 91.9 | Unlucky | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 1 | 0 | 1 | 2 | 1 | 0 | 71 | 17 | 17 | 37 | 0 | 65 | 23 | 8 | 36 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 41 | 24 | 44 | 17 | 34 | 17 | 42.9% | 5.6% | 93.8% | 99.5 | DULL | |
5 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 9 | 0 | 3 | 0.500 | 9 | 18 | 27 | 0 | 0 | 3 | 3 | 3 | 0 | 106 | 40 | 33 | 31 | 2 | 111 | 40 | 18 | 62 | 17 | 6 | 35.29% | 9 | 3 | 66.67% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 72 | 43 | 62 | 24 | 49 | 26 | 33.3% | 8.5% | 91.9% | 100.4 | DULL | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 37 | 13 | 8 | 16 | 0 | 43 | 10 | 2 | 21 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 21 | 13 | 21 | 8 | 17 | 8 | 50.0% | 5.4% | 93.0% | 98.4 | DULL | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 1 | 2 | 5 | 0 | 74 | 27 | 22 | 25 | 0 | 72 | 28 | 8 | 41 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 41 | 24 | 44 | 17 | 34 | 17 | 72.7% | 10.8% | 95.8% | 106.6 | LUCKY | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 68 | 25 | 22 | 21 | 0 | 84 | 31 | 6 | 27 | 13 | 2 | 15.38% | 3 | 1 | 66.67% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 44 | 26 | 43 | 18 | 32 | 16 | 40.0% | 8.8% | 91.7% | 100.5 | DULL | |
9 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 30 | 17 | 5 | 6 | 2 | 40 | 14 | 4 | 22 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 21 | 12 | 21 | 8 | 17 | 8 | 50.0% | 6.7% | 92.5% | 99.2 | DULL | |
10 | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 7 | 17 | -10 | 1 | 0.125 | 7 | 14 | 21 | 0 | 0 | 3 | 2 | 2 | 0 | 151 | 49 | 57 | 45 | 0 | 131 | 55 | 10 | 71 | 17 | 2 | 11.76% | 5 | 1 | 80.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 85 | 51 | 93 | 35 | 66 | 33 | 23.8% | 4.6% | 87.0% | 91.7 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 30 | 13 | 8 | 9 | 0 | 31 | 6 | 2 | 13 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 21 | 12 | 22 | 8 | 16 | 8 | 75.0% | 10.0% | 96.8% | 106.8 | LUCKY | |
12 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 15 | 17 | -2 | 2 | 0.250 | 15 | 25 | 40 | 1 | 0 | 7 | 4 | 4 | 0 | 152 | 62 | 52 | 38 | 0 | 154 | 49 | 14 | 72 | 13 | 2 | 15.38% | 7 | 1 | 85.71% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 90 | 56 | 84 | 34 | 65 | 33 | 44.8% | 9.9% | 89.0% | 98.8 | FUN | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 11 | 17 | 1 | 0 | 2 | 4 | 0 | 0 | 79 | 37 | 20 | 22 | 0 | 69 | 23 | 14 | 34 | 2 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 44 | 28 | 45 | 15 | 29 | 14 | 50.0% | 7.6% | 87.0% | 94.6 | Unlucky | |
14 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 4 | 7 | 6 | 1.000 | 11 | 17 | 28 | 0 | 0 | 1 | 4 | 5 | 2 | 113 | 30 | 32 | 49 | 5 | 107 | 32 | 12 | 51 | 9 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 67 | 40 | 66 | 26 | 51 | 26 | 73.3% | 9.7% | 96.3% | 106.0 | LUCKY | |
15 | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 11 | 12 | -1 | 5 | 0.625 | 11 | 19 | 30 | 1 | 0 | 5 | 3 | 2 | 1 | 148 | 56 | 47 | 41 | 7 | 121 | 44 | 4 | 75 | 11 | 2 | 18.18% | 2 | 0 | 100.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 93 | 59 | 85 | 33 | 67 | 35 | 42.9% | 7.4% | 90.1% | 97.5 | Unlucky | |
16 | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 11 | 10 | 1 | 6 | 0.600 | 11 | 18 | 29 | 0 | 0 | 4 | 4 | 2 | 1 | 140 | 43 | 54 | 42 | 5 | 164 | 49 | 16 | 93 | 18 | 2 | 11.11% | 8 | 1 | 87.50% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 107 | 62 | 110 | 44 | 87 | 44 | 50.0% | 7.9% | 93.9% | 101.8 | DULL | |
17 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 0 | 0.000 | 8 | 14 | 22 | 1 | 0 | 1 | 3 | 4 | 0 | 106 | 33 | 38 | 35 | 0 | 137 | 43 | 20 | 75 | 9 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 82 | 47 | 90 | 34 | 67 | 31 | 40.0% | 7.5% | 90.5% | 98.1 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 40 | 16 | 7 | 17 | 0 | 32 | 10 | 2 | 20 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 22 | 13 | 20 | 7 | 17 | 8 | 33.3% | 2.5% | 93.8% | 96.3 | DULL | |
19 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 13 | 23 | 0 | 0 | 3 | 1 | 6 | 0 | 97 | 29 | 28 | 40 | 0 | 107 | 45 | 12 | 51 | 3 | 3 | 100.00% | 6 | 1 | 83.33% | 1 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 60 | 38 | 72 | 24 | 46 | 21 | 43.8% | 10.3% | 90.7% | 101.0 | FUN | |
20 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 4 | 0.500 | 12 | 22 | 34 | 0 | 0 | 7 | 1 | 4 | 0 | 130 | 45 | 46 | 39 | 0 | 99 | 37 | 8 | 90 | 20 | 3 | 15.00% | 4 | 1 | 75.00% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 90 | 52 | 78 | 36 | 71 | 37 | 47.4% | 9.2% | 88.9% | 98.1 | FUN | |
_Vs Division | 20 | 5 | 12 | 0 | 0 | 1 | 2 | 0 | 52 | 61 | -9 | 15 | 0.375 | 52 | 88 | 140 | 2 | 0 | 16 | 17 | 17 | 3 | 662 | 217 | 233 | 209 | 10 | 693 | 228 | 72 | 362 | 66 | 6 | 9.09% | 36 | 4 | 88.89% | 0 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 431 | 259 | 444 | 175 | 337 | 169 | 44.7% | 7.9% | 91.2% | 99.1 | DULL | |
_Vs Conference | 32 | 10 | 17 | 0 | 1 | 1 | 2 | 1 | 86 | 96 | -10 | 28 | 0.438 | 86 | 144 | 230 | 3 | 0 | 32 | 22 | 29 | 4 | 1077 | 363 | 361 | 346 | 17 | 1052 | 364 | 98 | 598 | 103 | 14 | 13.59% | 49 | 6 | 87.76% | 1 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 699 | 423 | 701 | 276 | 540 | 272 | 44.4% | 8.0% | 90.9% | 98.9 | Unlucky | |
_Since Last GM Reset | 51 | 19 | 24 | 0 | 1 | 3 | 3 | 1 | 138 | 144 | -6 | 50 | 0.490 | 138 | 237 | 375 | 6 | 0 | 46 | 39 | 49 | 5 | 1770 | 618 | 562 | 579 | 25 | 1729 | 603 | 184 | 934 | 163 | 24 | 14.72% | 92 | 16 | 82.61% | 1 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 1118 | 677 | 1114 | 441 | 856 | 433 | 47.1% | 7.8% | 91.7% | 99.5 | DULL | |
Total | 51 | 19 | 24 | 0 | 1 | 3 | 3 | 1 | 138 | 144 | -6 | 50 | 0.490 | 138 | 237 | 375 | 6 | 0 | 46 | 39 | 49 | 5 | 1770 | 618 | 562 | 579 | 25 | 1729 | 603 | 184 | 934 | 163 | 24 | 14.72% | 92 | 16 | 82.61% | 1 | 624 | 1259 | 49.56% | 650 | 1281 | 50.74% | 358 | 714 | 50.14% | 1118 | 677 | 1114 | 441 | 856 | 433 | 47.1% | 7.8% | 91.7% | 99.5 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1259 |
Neutral Zone Start | 714 |
Defensive Zone Start | 1281 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1632 |
Faceoffs Lost | 1622 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.1 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 34.5 | 30.68 |
Overtime | 35.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 107 |
---|---|
PP Goal | 24 |
PK Goal | 1 |
Empty Net Goal | 6 |
Home | Away | |
---|---|---|
Win | 12 | 11 |
Lost | 10 | 14 |
Overtime Lost | 3 | 1 |
PP Attempt | 163 |
---|---|
PP Goal | 24 |
PK Attempt | 92 |
PK Goal Against | 16 |
Home | |
---|---|
Shots For | 34.7 |
Shots Against | 33.9 |
Goals For | 2.7 |
Goals Against | 2.8 |
Hits | 18.3 |
Shots Blocked | 11.8 |
Pim | 3.6 |
Projected Total Cap Hit | 79,885,399$ |
Projected Cap Space | 6,614,601$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 49,346,484$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2015-2016 | 2016-2017 | 2017-2018 | 2018-2019 | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad ![]() | D | 26 | 9,800,000$ | 9,800,000$ | 9,800,000$ | 9,800,000$ | 9,800,000$ | ||||
Adrian Kempe ![]() | C | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
Alex Ovechkin ![]() | LW/RW | 36 | 6,500,000$ | 6,500,000$ | 6,500,000$ | ||||||
Andreas Johnsson | LW/RW | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||
Anton Khudobin ![]() | LW/RW | 35 | 2,500,000$ | 2,500,000$ | |||||||
Brady Skjei | D | 27 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | ||||
Brayden Tracey | LW | 20 | 4,211,737$ | 4,211,737$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | |||
Brett Leason | RW | 22 | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | |||||
Cale Makar ![]() | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Frank Vatrano ![]() | LW/RW | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
Hampus Lindholm | D | 28 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Jordan Oesterle | D | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||
Justin Holl ![]() | D | 30 | 2,000,000$ | 2,000,000$ | |||||||
Mikko Rantanen ![]() | RW | 25 | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | ||||
Nick Bjugstad ![]() | C/RW | 29 | 950,000$ | 950,000$ | |||||||
Paul Stastny | C | 36 | 1,650,000$ | 1,650,000$ | 1,650,000$ | ||||||
Petr Mrazek | C/LW/RW | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||||
Ryan Johansen | C | 29 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | |||||
Sam Bennett ![]() | C/LW | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
William Nylander | C/RW | 25 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 |
---|---|---|---|---|---|
Brandt Clarke | 5 | 3 | |||
Carter Mazur | 5 | 38 | |||
Hugo Gabrielson | 4 | 93 | |||
Jakub Malek | 5 | 44 | |||
Joel Blomqvist | 3 | 17 | |||
Leo Loof | 2 | 62 | |||
Simon Edvinsson | 5 | 9 | |||
Vincent Iorio | 4 | 42 | |||
Xavier Bourgault | 5 | 7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-02-18 | @ | Maple Leafs1,Senators3 | RECAP | |||||||||||
2022-02-19 | @ | Senators1,Bruins4 | RECAP | |||||||||||
2022-02-21 | @ | Senators3,Maple Leafs2 (SO) | RECAP | |||||||||||
2022-02-22 | @ | Senators3,Sabres1 | RECAP | |||||||||||
2022-02-23 | @ | Canadiens2,Senators8 | RECAP | |||||||||||
2022-02-25 | @ | Senators2,Canadiens4 | RECAP | |||||||||||
2022-02-27 | @ | Bruins4,Senators3 (OT) | RECAP | |||||||||||
2022-03-02 | @ | Red Wings3,Senators2 | RECAP | |||||||||||
2022-03-04 | @ | Sabres2,Senators3 (SO) | RECAP | |||||||||||
2022-03-06 | @ | Senators2,Canadiens5 | RECAP | |||||||||||
2022-03-07 | @ | Senators2,Red Wings4 | RECAP | |||||||||||
2022-03-09 | @ | Blue Jackets4,Senators2 | RECAP | |||||||||||
2022-03-11 | @ | Golden Knights2,Senators4 | RECAP | |||||||||||
2022-03-13 | @ | Senators3,Canadiens6 | RECAP | |||||||||||
2022-03-14 | @ | Senators2,Bruins4 | RECAP | |||||||||||
2022-03-16 | @ | Red Wings4,Senators3 | RECAP | |||||||||||
2022-03-18 | @ | Stars2,Senators5 | RECAP | |||||||||||
2022-03-20 | @ | Senators3,Flames2 (SO) | RECAP | |||||||||||
2022-03-22 | @ | Senators3,Rangers2 | RECAP | |||||||||||
2022-03-24 | @ | Panthers6,Senators2 | RECAP | |||||||||||
2022-03-26 | @ | Blues2,Senators4 | RECAP | |||||||||||
2022-03-28 | @ | Senators1,Red Wings2 | RECAP | |||||||||||
2022-03-29 | @ | Senators4,Panthers3 | RECAP | |||||||||||
2022-03-31 | @ | Senators1,Bruins5 | RECAP | |||||||||||
2022-04-01 | @ | Canucks3,Senators1 | RECAP | |||||||||||
2022-04-03 | @ | Wild5,Senators4 | RECAP | |||||||||||
2022-04-05 | @ | Sabres5,Senators2 | RECAP | |||||||||||
2022-04-06 | @ | Senators2,Golden Knights3 | RECAP | |||||||||||
2022-04-08 | @ | Kings2,Senators3 | RECAP | |||||||||||
2022-04-10 | @ | Senators2,Blues5 | RECAP | |||||||||||
2022-04-11 | @ | Senators4,Panthers1 | RECAP | |||||||||||
2022-04-13 | @ | Senators2,Blue Jackets3 | RECAP | |||||||||||
2022-04-15 | @ | Canucks1,Senators3 | RECAP | |||||||||||
2022-04-17 | @ | Rangers4,Senators2 | RECAP | |||||||||||
2022-04-19 | @ | Sabres1,Senators0 | RECAP | |||||||||||
2022-04-21 | @ | Senators6,Blue Jackets3 | RECAP | |||||||||||
2022-04-22 | @ | Senators2,Kings1 | RECAP | |||||||||||
2022-04-24 | @ | Flyers2,Senators1 | RECAP | |||||||||||
2022-04-26 | @ | Flames1,Senators3 | RECAP | |||||||||||
2022-04-28 | @ | Senators2,Avalanche3 | RECAP | |||||||||||
2022-04-29 | @ | Senators3,Stars1 | RECAP | |||||||||||
2022-05-01 | @ | Rangers2,Senators3 (OT) | RECAP | |||||||||||
2022-05-03 | @ | Jets3,Senators2 (OT) | RECAP | |||||||||||
2022-05-05 | @ | Senators3,Sabres1 | RECAP | |||||||||||
2022-05-06 | @ | Senators3,Rangers4 (SO) | RECAP | |||||||||||
2022-05-08 | @ | Coyotes1,Senators3 | RECAP | |||||||||||
2022-05-10 | @ | Blue Jackets1,Senators2 | RECAP | |||||||||||
2022-05-12 | @ | Senators1,Oilers3 | RECAP | |||||||||||
2022-05-13 | @ | Golden Knights4,Senators3 (OT) | RECAP | |||||||||||
2022-05-14 | @ | Senators2,Wild4 | RECAP | |||||||||||
2022-05-16 | @ | Senators5,Maple Leafs1 | RECAP | |||||||||||
2022-05-18 | @ | |||||||||||||
2022-05-20 | @ | |||||||||||||
2022-05-21 | @ | |||||||||||||
2022-05-23 | @ | |||||||||||||
2022-05-24 | @ | |||||||||||||
2022-05-26 | @ | |||||||||||||
2022-05-27 | @ | |||||||||||||
2022-05-28 | @ | |||||||||||||
2022-05-30 | @ | |||||||||||||
2022-06-01 | @ | |||||||||||||
2022-06-04 | @ | |||||||||||||
2022-06-06 | @ | |||||||||||||
2022-06-07 | @ | |||||||||||||
2022-06-09 | @ | |||||||||||||
2022-06-10 | @ | |||||||||||||
2022-06-12 | @ | |||||||||||||
Trade Deadline --- Trades cant be done after this day is simulated! | ||||||||||||||
2022-06-14 | @ | |||||||||||||
2022-06-15 | @ | |||||||||||||
2022-06-17 | @ | |||||||||||||
2022-06-18 | @ | |||||||||||||
2022-06-20 | @ | |||||||||||||
2022-06-22 | @ | |||||||||||||
2022-06-24 | @ | |||||||||||||
2022-06-26 | @ | |||||||||||||
2022-06-28 | @ | |||||||||||||
2022-06-30 | @ | |||||||||||||
2022-07-03 | @ | |||||||||||||
2022-07-04 | @ | |||||||||||||
2022-07-06 | @ | |||||||||||||
2022-07-07 | @ | |||||||||||||
2022-07-09 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,511,737$ | 0$ | 79,885,399$ | 6,614,601$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Canadian Tire Centre | |
City | Ottawa | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
Attendance | 117459 | 96730 | 38627 | 78120 | 23201 |
Attendance PCT | 78.31% | 77.38% | 77.25% | 78.12% | 92.80% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
16 | 14165 - 78.70% | 4,097,458$ | 102,436,456$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,511,737$ | 80,511,737$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
50,898,212$ | 555,253$ | 49,346,484$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
65,559,332$ | 55 | 572,495$ | 31,487,225$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
32,957,027$ | 79,885,399$ | 537,957,745$ | 576,270,896$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Round 1 | Round 2 | Round 3 | Round 4 |
---|---|---|---|---|
6 | ||||
7 | ||||
8 | ||||
9 | ||||
10 |
|