|
|
|
|
|
|
|
|
|
|
Full Scoreboard »» |
Washington Capitals 8-10-0, 16pts · 16th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 67 | 42 | 90 | 74 | 68 | 76 | 78 | 76 | 79 | 85 | 74 | 61 | 55 | 87 | 95 | 75 | 50 | 0 | 36 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 45 | 91 | 78 | 78 | 69 | 84 | 61 | 32 | 64 | 70 | 79 | 25 | 68 | 68 | 72 | 50 | 0 | 25 | 1,125,875$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 83 | 45 | 91 | 65 | 78 | 57 | 73 | 58 | 36 | 59 | 57 | 80 | 25 | 56 | 57 | 65 | 50 | 0 | 28 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 85 | 56 | 72 | 80 | 75 | 65 | 68 | 59 | 66 | 61 | 60 | 75 | 25 | 65 | 65 | 66 | 50 | 0 | 24 | 1,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 43 | 94 | 74 | 65 | 78 | 66 | 75 | 79 | 75 | 70 | 84 | 25 | 55 | 55 | 75 | 50 | 0 | 23 | 925,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 82 | 58 | 82 | 85 | 74 | 79 | 89 | 80 | 81 | 84 | 77 | 71 | 42 | 82 | 86 | 79 | 50 | 0 | 31 | 6,500,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 53 | 90 | 76 | 69 | 64 | 87 | 57 | 33 | 59 | 70 | 85 | 75 | 71 | 74 | 72 | 50 | 0 | 28 | 2,750,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 45 | 87 | 82 | 78 | 76 | 97 | 88 | 99 | 84 | 90 | 63 | 57 | 85 | 88 | 83 | 50 | 0 | 32 | 11,000,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 42 | 96 | 78 | 71 | 54 | 83 | 61 | 77 | 58 | 58 | 68 | 61 | 82 | 83 | 63 | 50 | 0 | 32 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 42 | 86 | 80 | 80 | 70 | 89 | 79 | 44 | 73 | 72 | 60 | 61 | 83 | 83 | 72 | 50 | 0 | 33 | 7,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 56 | 85 | 77 | 66 | 59 | 91 | 57 | 50 | 68 | 60 | 64 | 58 | 70 | 72 | 66 | 50 | 0 | 29 | 1,100,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 59 | 40 | 90 | 84 | 65 | 78 | 94 | 83 | 35 | 81 | 91 | 65 | 45 | 64 | 66 | 82 | 50 | 0 | 24 | 2,800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 42 | 85 | 79 | 68 | 88 | 94 | 70 | 25 | 66 | 60 | 89 | 25 | 67 | 68 | 73 | 50 | 0 | 26 | 2,666,667$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 41 | 88 | 83 | 61 | 72 | 91 | 61 | 25 | 63 | 48 | 66 | 25 | 66 | 69 | 63 | 50 | 0 | 28 | 3,687,500$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 44 | 89 | 82 | 73 | 76 | 99 | 81 | 25 | 68 | 50 | 77 | 25 | 61 | 62 | 68 | 50 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | D | 100.00 | 97 | 99 | 75 | 68 | 89 | 70 | 61 | 60 | 25 | 51 | 48 | 87 | 63 | 59 | 60 | 63 | 50 | 0 | 30 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 95 | 76 | 65 | 65 | 83 | 58 | 25 | 51 | 47 | 75 | 25 | 61 | 61 | 61 | 50 | 0 | 24 | 1,850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 45 | 87 | 84 | 77 | 88 | 96 | 77 | 25 | 71 | 54 | 83 | 25 | 79 | 82 | 71 | 50 | 0 | 30 | 6,500,000$/5yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 73 | 43 | 94 | 71 | 67 | 62 | 63 | 60 | 25 | 59 | 57 | 73 | 25 | 60 | 61 | 64 | 53 | 0 | 27 | 825,000$/1yrs | |||
![]() | 0 | D | 100.00 | 92 | 77 | 78 | 76 | 66 | 75 | 86 | 58 | 25 | 57 | 48 | 81 | 45 | 64 | 67 | 64 | 50 | 0 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 89 | 68 | 67 | 70 | 60 | 57 | 25 | 50 | 48 | 88 | 25 | 55 | 55 | 61 | 50 | 0 | 25 | 750,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 75 | 50 | 87 | 77 | 71 | 71 | 82 | 67 | 45 | 66 | 62 | 75 | 40 | 69 | 70 | 69 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 70 | 52 | 51 | 65 | 77 | 64 | 77 | 72 | 77 | 70 | 95 | 47 | 48 | 70 | 50 | 0 | 32 | 2,000,000$/2yrs |
![]() | 0 | 100.00 | 67 | 54 | 55 | 74 | 72 | 63 | 70 | 69 | 71 | 67 | 86 | 63 | 64 | 67 | 50 | 0 | 28 | 6,250,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 61 | 52 | 53 | 82 | 65 | 58 | 85 | 64 | 67 | 61 | 95 | 61 | 62 | 65 | 50 | 0 | 30 | 900,000$/1yrs |
![]() | 0 | 100.00 | 57 | 52 | 65 | 76 | 60 | 60 | 51 | 59 | 58 | 57 | 30 | 61 | 61 | 57 | 50 | 0 | 33 | 750,000$/1yrs |
TEAM AVERAGE | 100.00 | 64 | 53 | 56 | 74 | 69 | 61 | 71 | 66 | 68 | 64 | 77 | 58 | 59 | 65 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 67 | 58 | 88 | 67 | 58 | 74 | 78 | 61 | 50 | 57 | 60 | 60 | 57 | 44 | 44 | 63 | 60 | 0 | 20 | 902,500$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 77 | 67 | 99 | 78 | 67 | 62 | 66 | 51 | 25 | 39 | 39 | 72 | 37 | 84 | 90 | 55 | 22 | 0 | 36 | 1,000,000$/1yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Gabriel Dion |
---|
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 | John Tavares | 0 | C/LW | 18 | 10 | 13 | 23 | -1 | 10 | 0 | 26 | 61 | 18 | 38 | 16.39% | 11 | 23.96 | 6 | 5 | 11 | 37 | 0 | 0 | 0 | 42 | 1 | 0 | 61.50% | 587 | 7 | 9 | 0 | 0 | 1.07 | 0 | 2 | ||
2 | David Krejci | 0 | C | 18 | 7 | 9 | 16 | 0 | 2 | 0 | 21 | 52 | 17 | 34 | 13.46% | 4 | 18.17 | 0 | 3 | 3 | 30 | 0 | 0 | 0 | 29 | 0 | 0 | 48.54% | 206 | 12 | 7 | 0 | 0 | 0.98 | 0 | 2 | ||
3 | Jordan Kyrou | 0 | RW | 18 | 8 | 8 | 16 | 0 | 19 | 5 | 13 | 61 | 16 | 32 | 13.11% | 8 | 19.93 | 3 | 5 | 8 | 36 | 0 | 0 | 0 | 19 | 2 | 0 | 33.33% | 36 | 15 | 7 | 1 | 0 | 0.89 | 0 | 2 | ||
4 | Brayden Schenn | 0 | C/LW | 18 | 5 | 10 | 15 | 0 | 8 | 0 | 23 | 58 | 18 | 37 | 8.62% | 6 | 21.88 | 2 | 3 | 5 | 37 | 0 | 0 | 0 | 46 | 0 | 1 | 46.15% | 26 | 10 | 2 | 0 | 0 | 0.76 | 1 | 2 | ||
5 | James van Riemsdyk | 0 | LW/RW | 18 | 5 | 9 | 14 | 3 | 12 | 0 | 21 | 55 | 14 | 29 | 9.09% | 6 | 15.90 | 1 | 1 | 2 | 30 | 0 | 0 | 0 | 0 | 1 | 0 | 44.44% | 9 | 11 | 3 | 0 | 0 | 0.98 | 1 | 2 | ||
6 | Noah Cates | 0 | C/LW | 18 | 6 | 2 | 8 | 2 | 0 | 0 | 24 | 36 | 13 | 18 | 16.67% | 4 | 14.32 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 43.10% | 58 | 3 | 5 | 0 | 0 | 0.62 | 0 | 0 | ||
7 | Evan Bouchard | 0 | D | 18 | 0 | 7 | 7 | -1 | 4 | 0 | 12 | 20 | 11 | 6 | 0.00% | 19 | 20.57 | 0 | 3 | 3 | 35 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 5 | 7 | 0 | 0 | 0.38 | 0 | 0 | ||
8 | Justin Faulk | 0 | D | 18 | 2 | 5 | 7 | -1 | 8 | 0 | 29 | 32 | 11 | 21 | 6.25% | 38 | 27.01 | 0 | 0 | 0 | 32 | 0 | 0 | 0 | 48 | 0 | 0 | 0.00% | 0 | 8 | 23 | 0 | 0 | 0.29 | 0 | 0 | ||
9 | Gustav Forsling | 0 | D | 18 | 1 | 5 | 6 | -3 | 22 | 0 | 24 | 30 | 10 | 17 | 3.33% | 37 | 27.41 | 1 | 1 | 2 | 42 | 0 | 0 | 0 | 42 | 1 | 0 | 0.00% | 0 | 9 | 19 | 0 | 0 | 0.24 | 0 | 0 | ||
10 | Brett Howden | 0 | C/LW | 18 | 2 | 3 | 5 | -9 | 6 | 0 | 27 | 30 | 4 | 20 | 6.67% | 11 | 11.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 41.67% | 84 | 9 | 1 | 0 | 0 | 0.48 | 0 | 0 | ||
11 | Derek Stepan | 0 | C/RW | 18 | 2 | 3 | 5 | -7 | 2 | 0 | 14 | 32 | 12 | 17 | 6.25% | 5 | 14.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 35.00% | 20 | 5 | 10 | 0 | 0 | 0.40 | 0 | 0 | ||
12 | Christian Fischer | 0 | LW/RW | 18 | 2 | 2 | 4 | -5 | 4 | 0 | 26 | 15 | 5 | 10 | 13.33% | 7 | 12.38 | 0 | 0 | 0 | 30 | 0 | 0 | 0 | 15 | 0 | 0 | 60.00% | 5 | 3 | 1 | 0 | 0 | 0.36 | 0 | 0 | ||
13 | Jarred Tinordi | 0 | D | 18 | 2 | 2 | 4 | -1 | 19 | 5 | 20 | 20 | 8 | 13 | 10.00% | 18 | 19.38 | 1 | 0 | 1 | 25 | 0 | 0 | 0 | 28 | 1 | 0 | 0.00% | 0 | 2 | 8 | 0 | 0 | 0.23 | 0 | 0 | ||
14 | Brock McGinn | 0 | LW/RW | 18 | 1 | 1 | 2 | -6 | 8 | 0 | 20 | 31 | 16 | 24 | 3.23% | 4 | 13.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 7 | 6 | 0 | 0 | 0.17 | 1 | 1 | ||
15 | Matt Grzelcyk | 0 | D | 18 | 0 | 1 | 1 | -7 | 10 | 0 | 5 | 3 | 3 | 1 | 0.00% | 15 | 12.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 2 | 9 | 0 | 0 | 0.09 | 0 | 0 | ||
16 | Nick Cousins | 0 | C/LW | 18 | 0 | 1 | 1 | -7 | 4 | 0 | 13 | 11 | 1 | 11 | 0.00% | 3 | 6.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 4 | 2 | 0 | 0 | 0.16 | 0 | 0 | ||
17 | Jacob Bryson | 0 | D | 18 | 0 | 1 | 1 | -9 | 0 | 0 | 6 | 8 | 0 | 2 | 0.00% | 12 | 13.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 9 | 0 | 0 | 0.08 | 0 | 0 | ||
18 | Saku Maenalanen | 0 | LW/RW | 18 | 0 | 0 | 0 | -3 | 0 | 0 | 4 | 5 | 1 | 2 | 0.00% | 2 | 3.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 324 | 53 | 82 | 135 | -55 | 138 | 10 | 328 | 560 | 178 | 332 | 9.46% | 210 | 16.48 | 14 | 21 | 35 | 344 | 0 | 0 | 0 | 350 | 6 | 1 | 54.14% | 1038 | 114 | 128 | 1 | 0 | 0.51 | 3 | 11 |
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 | Matt Murray | 18 | 8 | 10 | 0 | 0.877 | 3.71 | 1067 | 0 | 0 | 66 | 538 | 281 | 1 | 2 | 0.909 | 11 | 18 | 0 | 0 | 1 | 0 | |
2 | Pavel Francouz | 2 | 0 | 0 | 0 | 1.000 | 0.00 | 21 | 0 | 0 | 0 | 15 | 9 | 0 | 0 | 0.000 | 0 | 0 | 18 | 0 | 0 | 0 | |
Team Total or Average | 20 | 8 | 10 | 0 | 0.881 | 3.64 | 1089 | 0 | 0 | 66 | 553 | 290 | 1 | 2 | 0.909 | 11 | 18 | 18 | 0 | 1 | 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 |
# | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 6 | 11 | 0 | 0 | 2 | 0 | 3 | 0 | 33 | 13 | 10 | 10 | 0 | 34 | 12 | 8 | 19 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 20 | 11 | 21 | 9 | 18 | 9 | 75.0% | 15.2% | 94.1% | 109.3 | LUCKY | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 3 | 3 | 4 | 0 | 65 | 22 | 20 | 23 | 0 | 63 | 28 | 8 | 42 | 9 | 3 | 33.33% | 4 | 3 | 25.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 42 | 23 | 43 | 16 | 34 | 18 | 53.8% | 15.4% | 85.7% | 101.1 | FUN | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 0 | 2 | 32 | 10 | 18 | 4 | 6 | 20 | 8 | 9 | 16 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 22 | 12 | 21 | 9 | 21 | 10 | 66.7% | 12.5% | 85.0% | 97.5 | FUN | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 36 | 17 | 5 | 14 | 0 | 28 | 9 | 8 | 19 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 23 | 13 | 18 | 9 | 17 | 9 | 40.0% | 5.6% | 89.3% | 94.8 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 3 | 0 | 1 | 0 | 22 | 10 | 1 | 11 | 0 | 25 | 14 | 12 | 17 | 2 | 2 | 100.00% | 6 | 1 | 83.33% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 18 | 9 | 21 | 10 | 20 | 9 | 66.7% | 18.2% | 92.0% | 110.2 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 29 | 10 | 12 | 7 | 0 | 35 | 11 | 4 | 11 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 20 | 11 | 20 | 9 | 18 | 9 | 25.0% | 3.4% | 91.4% | 94.9 | DULL | |
7 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 7 | 13 | 0 | 0 | 3 | 0 | 2 | 1 | 59 | 27 | 13 | 18 | 6 | 62 | 21 | 18 | 43 | 8 | 3 | 37.50% | 9 | 3 | 66.67% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 44 | 24 | 41 | 17 | 38 | 20 | 33.3% | 10.2% | 85.5% | 95.7 | FUN | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 56 | 20 | 21 | 15 | 0 | 70 | 23 | 39 | 27 | 4 | 1 | 25.00% | 12 | 5 | 58.33% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 38 | 19 | 44 | 18 | 36 | 17 | 44.4% | 8.9% | 85.7% | 94.6 | Unlucky | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 9 | 9 | 8 | 0 | 28 | 13 | 4 | 16 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 20 | 11 | 19 | 9 | 19 | 9 | 33.3% | 7.7% | 82.1% | 89.8 | Unlucky | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 1 | 3 | 0 | 34 | 9 | 12 | 13 | 0 | 29 | 10 | 2 | 20 | 5 | 2 | 40.00% | 1 | 1 | 0.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 21 | 12 | 21 | 9 | 17 | 8 | 60.0% | 14.7% | 89.7% | 104.4 | FUN | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 23 | 9 | 4 | 10 | 0 | 29 | 9 | 2 | 24 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 21 | 12 | 20 | 8 | 18 | 9 | 25.0% | 4.3% | 89.7% | 94.0 | Unlucky | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 2 | 0 | 0 | 0 | 66 | 22 | 28 | 16 | 0 | 70 | 30 | 8 | 35 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 42 | 23 | 41 | 17 | 35 | 17 | 16.7% | 3.0% | 84.3% | 87.3 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 42 | 17 | 10 | 15 | 0 | 24 | 14 | 10 | 16 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 22 | 12 | 19 | 9 | 18 | 9 | 60.0% | 9.5% | 91.7% | 101.2 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 3 | 0 | 1 | 0 | 37 | 14 | 7 | 16 | 0 | 38 | 8 | 6 | 23 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 21 | 12 | 19 | 8 | 18 | 9 | 66.7% | 10.8% | 92.1% | 102.9 | LUCKY | |
_Vs Division | 7 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 19 | 33 | -14 | 2 | 0.143 | 19 | 32 | 51 | 0 | 0 | 7 | 5 | 7 | 0 | 223 | 81 | 74 | 68 | 0 | 231 | 90 | 63 | 123 | 17 | 4 | 23.53% | 24 | 9 | 62.50% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 146 | 81 | 148 | 61 | 125 | 63 | 38.5% | 8.5% | 85.7% | 94.2 | Unlucky | |
_Vs Conference | 12 | 2 | 9 | 0 | 0 | 0 | 1 | 0 | 32 | 49 | -17 | 6 | 0.250 | 32 | 50 | 82 | 2 | 0 | 12 | 8 | 11 | 2 | 366 | 132 | 127 | 107 | 6 | 377 | 143 | 90 | 209 | 26 | 6 | 23.08% | 35 | 12 | 65.71% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 252 | 140 | 252 | 107 | 220 | 112 | 41.3% | 8.7% | 87.0% | 95.7 | Unlucky | |
_Since Last GM Reset | 18 | 6 | 10 | 0 | 0 | 0 | 2 | 0 | 55 | 68 | -13 | 16 | 0.444 | 55 | 82 | 137 | 2 | 0 | 24 | 9 | 20 | 3 | 560 | 209 | 170 | 180 | 12 | 555 | 210 | 138 | 328 | 46 | 14 | 30.43% | 59 | 18 | 69.49% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 380 | 212 | 375 | 163 | 334 | 169 | 45.1% | 9.8% | 87.7% | 97.6 | FUN | |
Total | 18 | 6 | 10 | 0 | 0 | 0 | 2 | 0 | 55 | 68 | -13 | 16 | 0.444 | 55 | 82 | 137 | 2 | 0 | 24 | 9 | 20 | 3 | 560 | 209 | 170 | 180 | 12 | 555 | 210 | 138 | 328 | 46 | 14 | 30.43% | 59 | 18 | 69.49% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 380 | 212 | 375 | 163 | 334 | 169 | 45.1% | 9.8% | 87.7% | 97.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 393 |
Neutral Zone Start | 276 |
Defensive Zone Start | 364 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 562 |
Faceoffs Lost | 471 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.6 | 9.57 |
2nd Period | 21.1 | 20.31 |
3rd Period | 31.1 | 30.68 |
Overtime | 31.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 39 |
---|---|
PP Goal | 14 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 5 | 3 |
Lost | 7 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 46 |
---|---|
PP Goal | 14 |
PK Attempt | 59 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 30.8 |
Goals For | 3.1 |
Goals Against | 3.8 |
Hits | 18.2 |
Shots Blocked | 11.7 |
Pim | 7.7 |
Projected Total Cap Hit | 66,143,375$ |
Projected Cap Space | 16,356,625$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 17,224,850$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Capitals Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brayden Schenn ![]() | C/LW | 31 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | ||
Brett Howden ![]() | C/LW | 24 | 1,500,000$ | 1,500,000$ | |||||||
Brock McGinn ![]() | LW/RW | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | |||||
Christian Fischer ![]() | LW/RW | 25 | 1,125,875$ | 1,125,875$ | |||||||
Connor Clifton ![]() | D | 27 | 1,000,000$ | 1,000,000$ | |||||||
David Krejci ![]() | C | 36 | 1,000,000$ | 1,000,000$ | |||||||
David Rittich ![]() | G | 30 | 900,000$ | 900,000$ | |||||||
Derek Stepan ![]() | C/RW | 32 | 750,000$ | 750,000$ | |||||||
Evan Bouchard ![]() | D | 22 | 863,333$ | 863,333$ | |||||||
Guillaume Brisebois ![]() | D | 25 | 750,000$ | 750,000$ | |||||||
Gustav Forsling ![]() | D | 26 | 2,666,667$ | 2,666,667$ | 2,666,667$ | ||||||
Jacob Bryson ![]() | D | 24 | 1,850,000$ | 1,850,000$ | 1,850,000$ | ||||||
James van Riemsdyk ![]() | LW/RW | 33 | 7,000,000$ | 7,000,000$ | |||||||
Jarred Tinordi ![]() | D | 30 | 900,000$ | 900,000$ | |||||||
John Tavares ![]() | C/LW | 32 | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | |||||
Jordan Kyrou ![]() | RW | 24 | 2,800,000$ | 2,800,000$ | |||||||
Justin Faulk ![]() | D | 30 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | |||
Karson Kuhlman ![]() | RW | 27 | 825,000$ | 825,000$ | |||||||
Keith Kinkaid ![]() | G | 33 | 750,000$ | 750,000$ | |||||||
Matt Grzelcyk ![]() | D | 28 | 3,687,500$ | 3,687,500$ | 3,687,500$ | ||||||
Matt Murray ![]() | G | 28 | 6,250,000$ | 6,250,000$ | 6,250,000$ | ||||||
Nick Cousins ![]() | C/LW | 29 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Noah Cates ![]() | C/LW | 23 | 925,000$ | 925,000$ | |||||||
Pavel Francouz ![]() | G | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Saku Maenalanen ![]() | LW/RW | 28 | 750,000$ | 750,000$ |
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 |
# | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 6 | 11 | 0 | 0 | 2 | 0 | 3 | 0 | 33 | 13 | 10 | 10 | 0 | 34 | 12 | 8 | 19 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 20 | 11 | 21 | 9 | 18 | 9 | 75.0% | 15.2% | 94.1% | 109.3 | LUCKY | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 3 | 3 | 4 | 0 | 65 | 22 | 20 | 23 | 0 | 63 | 28 | 8 | 42 | 9 | 3 | 33.33% | 4 | 3 | 25.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 42 | 23 | 43 | 16 | 34 | 18 | 53.8% | 15.4% | 85.7% | 101.1 | FUN | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 0 | 2 | 32 | 10 | 18 | 4 | 6 | 20 | 8 | 9 | 16 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 22 | 12 | 21 | 9 | 21 | 10 | 66.7% | 12.5% | 85.0% | 97.5 | FUN | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 36 | 17 | 5 | 14 | 0 | 28 | 9 | 8 | 19 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 23 | 13 | 18 | 9 | 17 | 9 | 40.0% | 5.6% | 89.3% | 94.8 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 3 | 0 | 1 | 0 | 22 | 10 | 1 | 11 | 0 | 25 | 14 | 12 | 17 | 2 | 2 | 100.00% | 6 | 1 | 83.33% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 18 | 9 | 21 | 10 | 20 | 9 | 66.7% | 18.2% | 92.0% | 110.2 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 29 | 10 | 12 | 7 | 0 | 35 | 11 | 4 | 11 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 20 | 11 | 20 | 9 | 18 | 9 | 25.0% | 3.4% | 91.4% | 94.9 | DULL | |
7 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 7 | 13 | 0 | 0 | 3 | 0 | 2 | 1 | 59 | 27 | 13 | 18 | 6 | 62 | 21 | 18 | 43 | 8 | 3 | 37.50% | 9 | 3 | 66.67% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 44 | 24 | 41 | 17 | 38 | 20 | 33.3% | 10.2% | 85.5% | 95.7 | FUN | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 56 | 20 | 21 | 15 | 0 | 70 | 23 | 39 | 27 | 4 | 1 | 25.00% | 12 | 5 | 58.33% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 38 | 19 | 44 | 18 | 36 | 17 | 44.4% | 8.9% | 85.7% | 94.6 | Unlucky | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 9 | 9 | 8 | 0 | 28 | 13 | 4 | 16 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 20 | 11 | 19 | 9 | 19 | 9 | 33.3% | 7.7% | 82.1% | 89.8 | Unlucky | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 1 | 3 | 0 | 34 | 9 | 12 | 13 | 0 | 29 | 10 | 2 | 20 | 5 | 2 | 40.00% | 1 | 1 | 0.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 21 | 12 | 21 | 9 | 17 | 8 | 60.0% | 14.7% | 89.7% | 104.4 | FUN | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 23 | 9 | 4 | 10 | 0 | 29 | 9 | 2 | 24 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 21 | 12 | 20 | 8 | 18 | 9 | 25.0% | 4.3% | 89.7% | 94.0 | Unlucky | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 2 | 0 | 0 | 0 | 66 | 22 | 28 | 16 | 0 | 70 | 30 | 8 | 35 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 42 | 23 | 41 | 17 | 35 | 17 | 16.7% | 3.0% | 84.3% | 87.3 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 42 | 17 | 10 | 15 | 0 | 24 | 14 | 10 | 16 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 22 | 12 | 19 | 9 | 18 | 9 | 60.0% | 9.5% | 91.7% | 101.2 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 3 | 0 | 1 | 0 | 37 | 14 | 7 | 16 | 0 | 38 | 8 | 6 | 23 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 21 | 12 | 19 | 8 | 18 | 9 | 66.7% | 10.8% | 92.1% | 102.9 | LUCKY | |
_Vs Division | 7 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 19 | 33 | -14 | 2 | 0.143 | 19 | 32 | 51 | 0 | 0 | 7 | 5 | 7 | 0 | 223 | 81 | 74 | 68 | 0 | 231 | 90 | 63 | 123 | 17 | 4 | 23.53% | 24 | 9 | 62.50% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 146 | 81 | 148 | 61 | 125 | 63 | 38.5% | 8.5% | 85.7% | 94.2 | Unlucky | |
_Vs Conference | 12 | 2 | 9 | 0 | 0 | 0 | 1 | 0 | 32 | 49 | -17 | 6 | 0.250 | 32 | 50 | 82 | 2 | 0 | 12 | 8 | 11 | 2 | 366 | 132 | 127 | 107 | 6 | 377 | 143 | 90 | 209 | 26 | 6 | 23.08% | 35 | 12 | 65.71% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 252 | 140 | 252 | 107 | 220 | 112 | 41.3% | 8.7% | 87.0% | 95.7 | Unlucky | |
_Since Last GM Reset | 18 | 6 | 10 | 0 | 0 | 0 | 2 | 0 | 55 | 68 | -13 | 16 | 0.444 | 55 | 82 | 137 | 2 | 0 | 24 | 9 | 20 | 3 | 560 | 209 | 170 | 180 | 12 | 555 | 210 | 138 | 328 | 46 | 14 | 30.43% | 59 | 18 | 69.49% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 380 | 212 | 375 | 163 | 334 | 169 | 45.1% | 9.8% | 87.7% | 97.6 | FUN | |
Total | 18 | 6 | 10 | 0 | 0 | 0 | 2 | 0 | 55 | 68 | -13 | 16 | 0.444 | 55 | 82 | 137 | 2 | 0 | 24 | 9 | 20 | 3 | 560 | 209 | 170 | 180 | 12 | 555 | 210 | 138 | 328 | 46 | 14 | 30.43% | 59 | 18 | 69.49% | 0 | 202 | 393 | 51.40% | 212 | 364 | 58.24% | 148 | 276 | 53.62% | 380 | 212 | 375 | 163 | 334 | 169 | 45.1% | 9.8% | 87.7% | 97.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 393 |
Neutral Zone Start | 276 |
Defensive Zone Start | 364 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 562 |
Faceoffs Lost | 471 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.6 | 9.57 |
2nd Period | 21.1 | 20.31 |
3rd Period | 31.1 | 30.68 |
Overtime | 31.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 39 |
---|---|
PP Goal | 14 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 5 | 3 |
Lost | 7 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 46 |
---|---|
PP Goal | 14 |
PK Attempt | 59 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 30.8 |
Goals For | 3.1 |
Goals Against | 3.8 |
Hits | 18.2 |
Shots Blocked | 11.7 |
Pim | 7.7 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
66,143,375$ | 0$ | 66,143,375$ | 16,356,625$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Capitol One Arena | |
City | Washington | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 65901 | 57237 | 23444 | 45143 | 11320 |
Attendance PCT | 91.53% | 95.40% | 97.68% | 94.05% | 94.33% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
29 | 16920 - 94.00% | 605,091$ | 7,261,092$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
66,143,375$ | 66,143,375$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
17,224,850$ | 66,143,375$ | 17,224,850$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
17,547,639$ | 142 | 344,497$ | 48,918,574$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
50,083,666$ | 66,143,375$ | -439,068,426$ | -471,604,453$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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 was 2023 | |||||
Alex Biega | Link | ||||
Antoine Bibeau | |||||
Anton Johansson | 2022 | 121 | |||
Anton Slepyshev | |||||
Ben Strom | |||||
Ben Thomson | |||||
Benjamin Mirageas | |||||
Blake Pietilla | |||||
Braden Holtby | Link | ||||
Brayden Tracey | Link | ||||
Brennan Ali | 2022 | 217 | |||
Brett Davis | |||||
Bryan LIttle | |||||
Cade Webber | 2019 | 109 | |||
Carl Gunnarsson | Link | ||||
Chase Yoder | 2020 | 173 | |||
Chris Neil | |||||
Christopher Clapperton | |||||
Cory Conacher | |||||
Coulson Pitre | 2023 | 83 | |||
Dmitri Ovchinnikov | 2020 | 141 | |||
Dru Krebs | 2021 | 184 | |||
Edgars Kulda | |||||
Emil Martinsen Lilleberg | 2021 | 120 | |||
Emmitt Finnie | 2023 | 211 | |||
Gabe Perreault | 2023 | 19 | |||
Greg McKegg | Link | ||||
Gregory Hofmann | Link | ||||
Jack Phelan | 2023 | 147 | |||
Jack Sadek | |||||
Jacob McGrew | |||||
Jake Kucharski | 2018 | 217 | |||
Jakub Jerabek | Link | ||||
Jesper Eliasson | 2018 | 103 | |||
Joel Persson | |||||
John St. Ivany | 2018 | 124 | |||
Josh Teves | |||||
Julian Lutz | 2022 | 57 | |||
Karch Bachman | |||||
Keaton Middleton | Link | ||||
Kevin Poulin | |||||
Luke Witkowski | Link | ||||
Mark Shoemaker | 2016 | 192 | |||
Matt Cullen | Link | ||||
Max McCormick | Link | ||||
Maximus Wanner | 2021 | 216 | |||
Melker Karlsson | |||||
Michael Karow | |||||
Michael Raffl | Link | ||||
Nico Myatovic | 2023 | 51 | |||
Quinn Olson | 2019 | 100 | |||
Roman Bychkov | 2019 | 162 | |||
Sam Stranges | 2020 | 110 | |||
Scott Sabourin | Link | ||||
Sean Keohane | 2023 | 179 | |||
Seth Griffith | Link | ||||
Tim Schaller | |||||
Tyler Bozak | Link | ||||
Valentin Nussbaumer | 2019 | 209 | |||
Vyacheslav Buteyets | 2022 | 185 | |||
Wilhelm Westlund | |||||
Zach Dean | 2021 | 24 |
|