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Full Scoreboard »» |
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Full Scoreboard »» |
Washington Capitals 30-36-4, 64pts · 13th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 99.00 | 66 | 33 | 83 | 76 | 85 | 89 | 71 | 74 | 88 | 78 | 73 | 87 | 74 | 76 | 84 | 0 | 68 | 87 | 30 | 7,750,000$/8yrs | |||
![]() | 0 | LW/RW | 99.00 | 68 | 33 | 92 | 81 | 76 | 81 | 90 | 79 | 61 | 80 | 80 | 62 | 80 | 71 | 71 | 0 | 45 | 87 | 27 | 3,700,000$/5yrs | |||
![]() | 0 | C | 98.00 | 63 | 33 | 89 | 81 | 75 | 86 | 89 | 75 | 75 | 87 | 73 | 64 | 74 | 68 | 67 | 0 | 35 | 86 | 25 | 6,750,000$/9yrs | |||
![]() | 27 | C/LW | 99.00 | 63 | 33 | 86 | 74 | 78 | 80 | 90 | 72 | 61 | 74 | 76 | 82 | 74 | 66 | 65 | 0 | 74 | 84 | 24 | 2,000,000$/3yrs | |||
![]() | 0 | LW/RW | 99.00 | 80 | 34 | 87 | 70 | 86 | 80 | 88 | 73 | 60 | 72 | 80 | 61 | 76 | 76 | 75 | 0 | 47 | 83 | 30 | 4,250,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 60 | 32 | 92 | 74 | 69 | 82 | 90 | 69 | 81 | 72 | 71 | 77 | 70 | 70 | 69 | 0 | 18 | 81 | 26 | 3,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 96 | 39 | 72 | 63 | 81 | 78 | 74 | 64 | 79 | 62 | 69 | 85 | 66 | 64 | 61 | 0 | 22 | 80 | 23 | 883,750$/1yrs | |||
![]() | 20 | LW/RW | 100.00 | 98 | 74 | 50 | 59 | 85 | 74 | 90 | 63 | 58 | 63 | 63 | 77 | 63 | 79 | 74 | 0 | 50 | 78 | 32 | 1,750,000$/4yrs | |||
![]() | 34 | C | 100.00 | 73 | 35 | 84 | 71 | 79 | 78 | 89 | 68 | 80 | 69 | 70 | 69 | 69 | 57 | 56 | 0 | 47 | 78 | 19 | 925,000$/2yrs | |||
![]() | 0 | C/RW | 99.00 | 70 | 33 | 95 | 67 | 83 | 75 | 72 | 66 | 78 | 71 | 62 | 65 | 64 | 64 | 64 | 0 | 65 | 76 | 23 | 1,000,000$/2yrs | |||
![]() | 92 | RW | 100.00 | 58 | 38 | 93 | 67 | 76 | 66 | 75 | 65 | 72 | 66 | 69 | 63 | 67 | 65 | 64 | 0 | 30 | 75 | 25 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 87 | 41 | 56 | 65 | 66 | 72 | 88 | 62 | 66 | 66 | 64 | 66 | 65 | 63 | 59 | 0 | 50 | 75 | 24 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 36 | 75 | 65 | 92 | 92 | 88 | 71 | 30 | 71 | 67 | 91 | 69 | 79 | 83 | 0 | 34 | 87 | 31 | 4,750,000$/4yrs | |||
![]() | 0 | D | 98.00 | 67 | 33 | 82 | 71 | 78 | 92 | 87 | 67 | 30 | 81 | 67 | 66 | 67 | 76 | 75 | 0 | 47 | 84 | 30 | 6,500,000$/5yrs | |||
![]() | 61 | D | 98.00 | 82 | 36 | 85 | 59 | 74 | 88 | 82 | 67 | 30 | 64 | 62 | 92 | 64 | 69 | 68 | 0 | 53 | 82 | 26 | 950,000$/3yrs | |||
![]() | 0 | D | 98.00 | 61 | 34 | 83 | 71 | 90 | 94 | 73 | 69 | 30 | 75 | 62 | 76 | 66 | 58 | 57 | 0 | 55 | 82 | 20 | 925,000$/2yrs | |||
![]() | 57 | D | 100.00 | 71 | 32 | 85 | 66 | 74 | 86 | 86 | 68 | 30 | 73 | 60 | 79 | 64 | 66 | 65 | 0 | 43 | 81 | 24 | 2,750,000$/2yrs | |||
![]() | 0 | D | 98.00 | 69 | 33 | 87 | 67 | 77 | 79 | 85 | 66 | 30 | 74 | 67 | 66 | 67 | 66 | 65 | 0 | 24 | 80 | 24 | 842,500$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.17 | 73 | 37 | 82 | 69 | 79 | 82 | 84 | 69 | 58 | 72 | 69 | 74 | 69 | 69 | 68 | 0 | 45 | 81 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 85 | 90 | 79 | 85 | 90 | 88 | 91 | 92 | 93 | 90 | 91 | 72 | 77 | 0 | 44 | 91 | 28 | 4,000,000$/3yrs |
![]() | 0 | 95.00 | 77 | 92 | 73 | 73 | 79 | 76 | 77 | 77 | 76 | 77 | 77 | 60 | 61 | 0 | 22 | 80 | 20 | 925,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 97.50 | 81 | 91 | 76 | 79 | 85 | 82 | 84 | 85 | 85 | 84 | 84 | 66 | 69 | 0 | 33 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Tippett | 81 | 85 | 89 | 82 | 91 | 84 | 55 | CAN | 61 | 3 | 1,000,000$ |
General Manager | Kevin Mancheron |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sean Couturier | 0 | C | 68 | 25 | 33 | 58 | 5 | 26 | 0 | 73 | 243 | 63 | 187 | 10.29% | 17 | 20.86 | 7 | 10 | 17 | 191 | 1 | 1 | 2 | 109 | 7 | 1 | 54.24% | 1862 | 0 | 0 | 1 | 1 | 0.82 | 2 | 3 | |
2 | Dominik Kubalik | 0 | LW/RW | 70 | 14 | 22 | 36 | 10 | 43 | 5 | 93 | 163 | 48 | 94 | 8.59% | 6 | 17.32 | 4 | 3 | 7 | 160 | 0 | 0 | 0 | 0 | 1 | 0 | 45.83% | 72 | 0 | 0 | 0 | 0 | 0.59 | 4 | 7 | |
3 | Pius Suter | 0 | C/RW | 68 | 12 | 18 | 30 | -7 | 4 | 0 | 26 | 166 | 40 | 119 | 7.23% | 24 | 18.86 | 1 | 6 | 7 | 145 | 1 | 0 | 1 | 212 | 4 | 1 | 50.50% | 1093 | 0 | 0 | 0 | 0 | 0.47 | 1 | 3 | |
4 | John Klingberg | 0 | D | 70 | 9 | 20 | 29 | -15 | 64 | 0 | 94 | 80 | 25 | 44 | 11.25% | 50 | 21.28 | 5 | 8 | 13 | 196 | 0 | 0 | 0 | 160 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
5 | Mathew Barzal | 0 | C | 68 | 10 | 19 | 29 | 0 | 20 | 0 | 81 | 144 | 30 | 83 | 6.94% | 10 | 19.20 | 2 | 4 | 6 | 173 | 0 | 0 | 0 | 66 | 2 | 0 | 45.72% | 1566 | 0 | 0 | 0 | 0 | 0.44 | 0 | 3 | |
6 | Dante Fabbro | 57 | D | 65 | 6 | 20 | 26 | 2 | 34 | 0 | 55 | 32 | 10 | 32 | 18.75% | 49 | 15.20 | 1 | 0 | 1 | 42 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
7 | Ben Chiarot | 0 | D | 67 | 4 | 19 | 23 | -1 | 110 | 20 | 205 | 58 | 12 | 43 | 6.90% | 107 | 19.48 | 2 | 1 | 3 | 54 | 0 | 0 | 0 | 176 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
8 | Nino Niederreiter | 0 | LW/RW | 70 | 11 | 11 | 22 | -21 | 20 | 0 | 137 | 121 | 31 | 79 | 9.09% | 6 | 16.42 | 4 | 1 | 5 | 121 | 0 | 0 | 0 | 0 | 1 | 1 | 44.23% | 156 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
9 | Owen Power | 0 | D | 53 | 4 | 16 | 20 | -16 | 30 | 0 | 55 | 64 | 22 | 39 | 6.25% | 61 | 21.11 | 4 | 4 | 8 | 135 | 0 | 0 | 0 | 144 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
10 | Dysin Mayo | 61 | D | 60 | 4 | 14 | 18 | -5 | 48 | 0 | 100 | 34 | 11 | 24 | 11.76% | 82 | 15.39 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 78 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
11 | Cole Sillinger | 34 | C | 70 | 7 | 11 | 18 | -2 | 16 | 0 | 38 | 78 | 32 | 52 | 8.97% | 10 | 10.67 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 33 | 1 | 0 | 47.25% | 908 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
12 | Eetu Luostarinen | 27 | C/LW | 62 | 6 | 10 | 16 | 8 | 4 | 0 | 13 | 85 | 26 | 44 | 7.06% | 4 | 9.06 | 1 | 0 | 1 | 22 | 0 | 0 | 0 | 30 | 0 | 1 | 51.55% | 161 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
13 | Nicolas Deslauriers | 20 | LW/RW | 70 | 4 | 2 | 6 | -12 | 43 | 5 | 77 | 59 | 13 | 40 | 6.78% | 6 | 7.84 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 21 | 0 | 1 | 44.83% | 29 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
14 | Alex Nylander | 92 | RW | 33 | 2 | 1 | 3 | -10 | 7 | 5 | 4 | 18 | 6 | 12 | 11.11% | 1 | 8.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 45.34% | 161 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
15 | Cody Glass | 0 | C/RW | 16 | 1 | 2 | 3 | -3 | 2 | 0 | 12 | 19 | 6 | 15 | 5.26% | 3 | 18.32 | 0 | 1 | 1 | 29 | 0 | 0 | 0 | 45 | 0 | 0 | 48.00% | 25 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
16 | Jack McBain | 0 | C | 57 | 1 | 1 | 2 | -14 | 16 | 0 | 55 | 52 | 10 | 31 | 1.92% | 6 | 6.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.15% | 27 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | |
17 | Nick Perbix | 0 | D | 7 | 0 | 1 | 1 | -5 | 2 | 0 | 7 | 3 | 0 | 4 | 0.00% | 5 | 20.71 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
18 | Brett Stapley | 0 | C | 17 | 0 | 1 | 1 | -2 | 4 | 0 | 20 | 15 | 5 | 8 | 0.00% | 1 | 9.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 34.83% | 89 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
Team Total or Average | 991 | 120 | 221 | 341 | -88 | 493 | 35 | 1145 | 1434 | 390 | 950 | 8.37% | 448 | 15.46 | 31 | 38 | 69 | 1320 | 2 | 1 | 3 | 1129 | 16 | 8 | 49.34% | 6149 | 0 | 0 | 1 | 1 | 0.45 | 7 | 16 |
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 | Ville Husso | 32 | 17 | 8 | 1 | 0.923 | 2.24 | 1718 | 0 | 3 | 64 | 828 | 0 | 0 | 0 | 1.000 | 6 | 26 | 38 | 6 | 0 | 3 | |
2 | Yaroslav Askarov | 13 | 3 | 8 | 2 | 0.889 | 3.59 | 753 | 0 | 0 | 45 | 407 | 0 | 0 | 0 | 0.800 | 5 | 13 | 6 | 1 | 0 | 0 | |
Team Total or Average | 45 | 20 | 16 | 3 | 0.912 | 2.65 | 2471 | 0 | 3 | 109 | 1235 | 0 | 0 | 0 | 0.909 | 11 | 39 | 44 | 7 | 0 | 3 |
Projected Total Cap Hit | 70,028,689$ |
Projected Cap Space | 12,471,311$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 62,866,723$ |
Players In Salary Cap | 16 |
LTIR Players | 5 |
Capitals Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Nylander | RW | 25 | 1,500,000$ | 1,500,000$ | |||||||
Ben Chiarot | D | 31 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
Brett Stapley ![]() ![]() | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Cody Glass ![]() | C/RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Cole Sillinger ![]() | C | 19 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Dante Fabbro | D | 24 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Dominik Kubalik | LW/RW | 27 | 3,700,000$ | 3,700,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||
Dysin Mayo ![]() | D | 26 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | UFA | ||||
Eetu Luostarinen | C/LW | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
Jack McBain ![]() | C | 23 | 883,750$ | 883,750$ | RFA | ||||||
John Klingberg | D | 30 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Mathew Barzal | C | 25 | 6,750,000$ | 6,750,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ |
Nick Perbix ![]() ![]() | D | 24 | 842,500$ | 842,500$ | 1,125,000$ | 1,125,000$ | |||||
Nicolas Deslauriers ![]() | LW/RW | 32 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||
Nino Niederreiter | LW/RW | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||
Owen Power ![]() | D | 20 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Pius Suter | C/RW | 26 | 3,000,000$ | 3,000,000$ | |||||||
Sean Couturier | C | 30 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ |
Ville Husso ![]() | G | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Yaroslav Askarov ![]() ![]() | G | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anton Malmstrom ![]() | D | 23 | 910,000$ | 910,000$ | 910,000$ | 910,000$ | ![]() | ||||
Austin Wagner ![]() | LW | 25 | 1,133,333$ | 1,133,333$ | ![]() | ||||||
Carson Focht ![]() | C | 23 | 821,667$ | 821,667$ | RFA | ||||||
Colin Swoyer ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Connor Zary ![]() | C | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Corey Andonovski ![]() ![]() | RW | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
David Hrenak ![]() ![]() | G | 24 | 842,500$ | 842,500$ | ![]() | ||||||
Dawson Barteaux ![]() | D | 23 | 783,333$ | 783,333$ | RFA | ||||||
Dmitri Semykin ![]() | D | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Dominic Toninato ![]() ![]() | C | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Griffin Mendel ![]() | D | 24 | 750,000$ | 750,000$ | RFA | ||||||
Gustav Rydahl ![]() | C | 28 | 750,000$ | 750,000$ | UFA | ||||||
Jaydon Dureau ![]() | LW | 22 | 841,667$ | 841,667$ | 841,667$ | 841,667$ | RFA | ||||
Justin Sourdif ![]() | C/RW | 20 | 847,500$ | 847,500$ | 847,500$ | 847,500$ | RFA | ||||
Kai Wissmann ![]() | D | 26 | 825,000$ | 825,000$ | ![]() | ||||||
Kurtis MacDermid ![]() | LW/D | 28 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Lukas Klok ![]() | D | 27 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Martin Kaut ![]() | C/RW | 23 | 894,167$ | 894,167$ | RFA | ||||||
Mathias Laferriere ![]() ![]() | RW | 22 | 786,667$ | 786,667$ | RFA | ||||||
Matthew Murray ![]() ![]() | G | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Mikko Kokkonen ![]() | D | 22 | 846,667$ | 846,667$ | 846,667$ | 846,667$ | RFA | ||||
Nick Caamano ![]() | RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Nikita Soshnikov ![]() | LW/RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Nolan Lalonde ![]() | G | 19 | 798,333$ | 798,333$ | 798,333$ | 798,333$ | RFA | ||||
Owen Sillinger ![]() ![]() | C | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Ozzy Wiesblatt ![]() | RW | 21 | 866,667$ | 866,667$ | 866,667$ | RFA | |||||
Pavel Shen ![]() | C | 23 | 809,167$ | 809,167$ | RFA | ||||||
Peyton Krebs ![]() ![]() | C/LW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Riley Sutter ![]() | C | 23 | 774,167$ | 774,167$ | RFA | ||||||
Ronald Knot ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Ronnie Attard ![]() ![]() | D | 24 | 883,750$ | 883,750$ | RFA | ||||||
Thomas Greiss ![]() ![]() | G | 37 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 51 | 18 | 17 | 16 | 0 | 61 | 22 | 14 | 39 | 5 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 44 | 31 | 50 | 14 | 24 | 11 | 37.5% | 5.9% | 90.2% | 96.0 | Unlucky | |
2 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 0 | 0.000 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 3 | 0 | 92 | 30 | 31 | 31 | 0 | 114 | 35 | 28 | 73 | 15 | 1 | 6.67% | 13 | 3 | 76.92% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 89 | 62 | 101 | 31 | 48 | 23 | 41.2% | 8.7% | 88.6% | 97.3 | Unlucky | |
3 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 3 | 8 | -5 | 1 | 0.167 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 92 | 30 | 32 | 26 | 7 | 102 | 33 | 26 | 63 | 8 | 0 | 0.00% | 13 | 4 | 69.23% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 69 | 48 | 80 | 20 | 34 | 17 | 42.9% | 3.3% | 92.2% | 95.4 | DULL | |
4 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 3 | 3 | 0 | 0 | 76 | 20 | 20 | 36 | 0 | 97 | 34 | 32 | 61 | 9 | 1 | 11.11% | 15 | 4 | 73.33% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 72 | 50 | 70 | 21 | 36 | 18 | 38.5% | 7.9% | 87.6% | 95.5 | Unlucky | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 44 | 22 | 9 | 13 | 0 | 67 | 13 | 20 | 34 | 8 | 1 | 12.50% | 10 | 2 | 80.00% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 46 | 31 | 50 | 14 | 23 | 11 | 28.6% | 6.8% | 89.6% | 96.4 | Unlucky | |
6 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 7 | 0 | 4 | 0.667 | 7 | 12 | 19 | 0 | 0 | 0 | 2 | 4 | 1 | 84 | 29 | 24 | 30 | 4 | 92 | 32 | 18 | 56 | 14 | 3 | 21.43% | 8 | 2 | 75.00% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 72 | 50 | 72 | 22 | 39 | 18 | 44.4% | 8.3% | 92.4% | 100.7 | DULL | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 1 | 1 | 2 | 1 | 0 | 52 | 18 | 15 | 19 | 0 | 53 | 15 | 21 | 39 | 5 | 2 | 40.00% | 6 | 0 | 100.00% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 52 | 36 | 43 | 14 | 24 | 12 | 33.3% | 7.7% | 92.5% | 100.1 | DULL | |
8 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 9 | -1 | 4 | 0.667 | 8 | 16 | 24 | 0 | 0 | 3 | 3 | 1 | 1 | 91 | 36 | 23 | 29 | 3 | 74 | 21 | 27 | 66 | 12 | 5 | 41.67% | 10 | 0 | 100.00% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 73 | 49 | 69 | 21 | 37 | 18 | 25.0% | 8.8% | 87.8% | 96.6 | Unlucky | |
9 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.333 | 3 | 5 | 8 | 0 | 1 | 0 | 1 | 2 | 0 | 75 | 24 | 28 | 23 | 0 | 92 | 28 | 33 | 79 | 15 | 0 | 0.00% | 13 | 2 | 84.62% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 70 | 46 | 72 | 22 | 37 | 18 | 42.9% | 4.0% | 93.5% | 97.5 | DULL | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 56 | 19 | 14 | 23 | 0 | 56 | 16 | 14 | 39 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 47 | 32 | 47 | 15 | 25 | 12 | 50.0% | 5.4% | 92.9% | 98.2 | DULL | |
11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 0 | 1 | 34 | 14 | 7 | 12 | 1 | 23 | 8 | 12 | 16 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 24 | 17 | 24 | 7 | 11 | 6 | 50.0% | 5.9% | 95.7% | 101.5 | DULL | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 4 | 1 | 1 | 0 | 57 | 22 | 21 | 14 | 0 | 61 | 22 | 12 | 43 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 48 | 34 | 44 | 14 | 26 | 12 | 41.7% | 10.5% | 85.2% | 95.8 | FUN | |
13 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 0 | 1 | 45 | 20 | 7 | 16 | 4 | 73 | 25 | 19 | 39 | 6 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 46 | 30 | 50 | 15 | 28 | 13 | 44.4% | 8.9% | 90.4% | 99.3 | Unlucky | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 63 | 16 | 25 | 22 | 0 | 55 | 15 | 10 | 39 | 4 | 3 | 75.00% | 4 | 0 | 100.00% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 49 | 35 | 44 | 14 | 26 | 12 | 28.6% | 7.9% | 90.9% | 98.8 | Unlucky | |
15 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 3 | 2 | 2 | 0 | 61 | 22 | 17 | 22 | 0 | 60 | 23 | 33 | 37 | 6 | 3 | 50.00% | 9 | 1 | 88.89% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 45 | 30 | 48 | 14 | 26 | 12 | 44.4% | 11.5% | 90.0% | 101.5 | FUN | |
16 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 4 | 2 | 0 | 1 | 53 | 23 | 15 | 14 | 1 | 75 | 18 | 37 | 50 | 4 | 0 | 0.00% | 11 | 4 | 63.64% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 47 | 32 | 48 | 15 | 25 | 12 | 63.6% | 13.2% | 89.3% | 102.5 | FUN | |
17 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 54 | 13 | 10 | 28 | 6 | 55 | 15 | 19 | 50 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 48 | 34 | 53 | 14 | 25 | 12 | 42.9% | 7.4% | 89.1% | 96.5 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 37 | 14 | 14 | 9 | 0 | 78 | 21 | 16 | 49 | 1 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 40 | 27 | 56 | 15 | 23 | 11 | 36.4% | 10.8% | 89.7% | 100.6 | FUN | |
19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 10 | 16 | 0 | 1 | 1 | 3 | 2 | 0 | 48 | 15 | 21 | 12 | 0 | 53 | 16 | 12 | 40 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 44 | 31 | 48 | 15 | 26 | 13 | 80.0% | 12.5% | 96.2% | 108.7 | LUCKY | |
20 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 4 | 2 | 3 | 0 | 81 | 22 | 30 | 29 | 0 | 90 | 24 | 54 | 68 | 5 | 1 | 20.00% | 17 | 5 | 70.59% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 66 | 44 | 77 | 20 | 36 | 17 | 61.5% | 11.1% | 88.9% | 100.0 | FUN | |
21 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 0 | 1 | 22 | 9 | 4 | 7 | 2 | 24 | 6 | 6 | 9 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 26 | 18 | 22 | 6 | 12 | 6 | 60.0% | 13.6% | 91.7% | 105.3 | LUCKY | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 47 | 16 | 18 | 13 | 0 | 63 | 14 | 20 | 52 | 8 | 2 | 25.00% | 7 | 1 | 85.71% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 49 | 33 | 47 | 12 | 23 | 12 | 42.9% | 10.6% | 92.1% | 102.7 | LUCKY | |
23 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 6 | 1.000 | 10 | 20 | 30 | 0 | 0 | 4 | 3 | 3 | 0 | 86 | 20 | 33 | 33 | 0 | 89 | 23 | 22 | 57 | 13 | 5 | 38.46% | 10 | 1 | 90.00% | 1 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 67 | 45 | 74 | 21 | 37 | 18 | 45.5% | 11.6% | 92.1% | 103.8 | LUCKY | |
24 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 55 | 19 | 16 | 20 | 0 | 55 | 13 | 12 | 35 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 51 | 36 | 42 | 14 | 26 | 12 | 37.5% | 7.3% | 89.1% | 96.4 | Unlucky | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 52 | 12 | 18 | 22 | 0 | 63 | 14 | 24 | 40 | 4 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 40 | 27 | 55 | 14 | 23 | 10 | 66.7% | 11.5% | 92.1% | 103.6 | LUCKY | |
26 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 1 | 2 | 59 | 16 | 17 | 20 | 9 | 51 | 8 | 14 | 47 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 56 | 38 | 43 | 15 | 27 | 14 | 66.7% | 10.2% | 92.2% | 102.3 | LUCKY | |
27 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 18 | -13 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 72 | 29 | 20 | 23 | 0 | 124 | 29 | 35 | 66 | 7 | 0 | 0.00% | 15 | 4 | 73.33% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 65 | 43 | 74 | 21 | 39 | 18 | 26.3% | 6.9% | 85.5% | 92.4 | Unlucky | |
28 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 60 | 22 | 21 | 17 | 0 | 59 | 22 | 12 | 41 | 10 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 48 | 33 | 49 | 13 | 22 | 11 | 33.3% | 6.7% | 86.4% | 93.1 | Unlucky | |
29 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 2 | 3 | 2 | 66 | 15 | 22 | 26 | 6 | 51 | 15 | 14 | 30 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 51 | 35 | 47 | 15 | 26 | 13 | 60.0% | 10.6% | 90.2% | 100.8 | FUN | |
30 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 2 | 2 | 1 | 1 | 47 | 15 | 13 | 18 | 1 | 47 | 18 | 16 | 44 | 8 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 48 | 33 | 45 | 15 | 27 | 13 | 75.0% | 12.8% | 93.6% | 106.4 | LUCKY | |
31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 40 | 17 | 11 | 12 | 0 | 60 | 20 | 29 | 41 | 9 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 45 | 30 | 48 | 15 | 26 | 13 | 42.9% | 7.5% | 91.7% | 99.2 | DULL | |
_Vs Division | 20 | 5 | 12 | 0 | 1 | 0 | 1 | 1 | 43 | 59 | -16 | 15 | 0.375 | 43 | 82 | 125 | 0 | 0 | 14 | 12 | 15 | 2 | 549 | 189 | 173 | 179 | 14 | 597 | 179 | 153 | 390 | 80 | 15 | 18.75% | 70 | 12 | 82.86% | 1 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 468 | 323 | 498 | 145 | 243 | 119 | 37.3% | 7.8% | 90.1% | 97.9 | Unlucky | |
_Vs Conference | 40 | 13 | 23 | 0 | 1 | 1 | 1 | 1 | 87 | 122 | -35 | 32 | 0.400 | 87 | 162 | 249 | 0 | 2 | 30 | 26 | 29 | 2 | 1065 | 356 | 341 | 360 | 14 | 1232 | 363 | 386 | 832 | 145 | 24 | 16.55% | 158 | 31 | 80.38% | 1 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 929 | 636 | 986 | 290 | 495 | 243 | 40.9% | 8.2% | 90.1% | 98.3 | Unlucky | |
_Since Last GM Reset | 70 | 20 | 36 | 0 | 6 | 2 | 4 | 2 | 161 | 206 | -45 | 64 | 0.457 | 161 | 296 | 457 | 0 | 4 | 58 | 46 | 47 | 11 | 1852 | 617 | 573 | 635 | 44 | 2117 | 618 | 661 | 1442 | 232 | 34 | 14.66% | 267 | 50 | 81.27% | 1 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 1651 | 1134 | 1708 | 515 | 882 | 433 | 44.9% | 8.7% | 90.3% | 99.0 | Unlucky | |
Total | 70 | 20 | 36 | 0 | 6 | 2 | 4 | 2 | 161 | 206 | -45 | 64 | 0.457 | 161 | 296 | 457 | 0 | 4 | 58 | 46 | 47 | 11 | 1852 | 617 | 573 | 635 | 44 | 2117 | 618 | 661 | 1442 | 232 | 34 | 14.66% | 267 | 50 | 81.27% | 1 | 1097 | 2291 | 47.88% | 1204 | 2428 | 49.59% | 520 | 1030 | 50.49% | 1651 | 1134 | 1708 | 515 | 882 | 433 | 44.9% | 8.7% | 90.3% | 99.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2291 |
Neutral Zone Start | 1030 |
Defensive Zone Start | 2428 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2821 |
Faceoffs Lost | 2928 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.8 | 9.57 |
2nd Period | 17.0 | 20.31 |
3rd Period | 26.1 | 30.68 |
Overtime | 26.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 126 |
---|---|
PP Goal | 34 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 17 | 13 |
Lost | 15 | 21 |
Overtime Lost | 2 | 2 |
PP Attempt | 232 |
---|---|
PP Goal | 34 |
PK Attempt | 267 |
PK Goal Against | 50 |
Home | |
---|---|
Shots For | 26.5 |
Shots Against | 30.2 |
Goals For | 2.3 |
Goals Against | 2.9 |
Hits | 20.6 |
Shots Blocked | 8.8 |
Pim | 9.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-12 | @ | Bruins0,Capitals1 | RECAP | |||||||||||
2022-10-13 | @ | Capitals1,Maple Leafs5 | RECAP | |||||||||||
2022-10-15 | @ | Canadiens1,Capitals3 | RECAP | |||||||||||
2022-10-17 | @ | Canucks6,Capitals5 | RECAP | |||||||||||
2022-10-20 | @ | Capitals3,Senators6 | RECAP | |||||||||||
2022-10-22 | @ | Kings3,Capitals4 (SO) | RECAP | |||||||||||
2022-10-24 | @ | Capitals2,Devils3 | RECAP | |||||||||||
2022-10-27 | @ | Capitals3,Stars2 (SO) | RECAP | |||||||||||
2022-10-29 | @ | Capitals1,Predators4 | RECAP | |||||||||||
2022-10-31 | @ | Capitals2,Hurricanes1 (SO) | RECAP | |||||||||||
2022-11-01 | @ | Golden Knights3,Capitals4 (OT) | RECAP | |||||||||||
2022-11-03 | @ | Capitals1,Red Wings2 | RECAP | |||||||||||
2022-11-05 | @ | Coyotes4,Capitals1 | RECAP | |||||||||||
2022-11-07 | @ | Oilers3,Capitals4 (OT) | RECAP | |||||||||||
2022-11-09 | @ | Penguins5,Capitals4 | RECAP | |||||||||||
2022-11-11 | @ | Lightning2,Capitals4 | RECAP | |||||||||||
2022-11-13 | @ | Capitals3,Lightning4 (OT) | RECAP | |||||||||||
2022-11-15 | @ | Capitals3,Panthers4 | RECAP | |||||||||||
2022-11-17 | @ | Capitals2,Blues3 (SO) | RECAP | |||||||||||
2022-11-19 | @ | Avalanche4,Capitals1 | RECAP | |||||||||||
2022-11-23 | @ | Flyers3,Capitals2 | RECAP | |||||||||||
2022-11-25 | @ | Flames5,Capitals1 | RECAP | |||||||||||
2022-11-26 | @ | Capitals0,Devils3 | RECAP | |||||||||||
2022-11-29 | @ | Capitals1,Canucks3 | RECAP | |||||||||||
2022-12-01 | @ | Capitals2,Kraken1 | RECAP | |||||||||||
2022-12-03 | @ | Capitals2,Flames1 | RECAP | |||||||||||
2022-12-05 | @ | Capitals3,Oilers5 | RECAP | |||||||||||
2022-12-07 | @ | Capitals2,Flyers3 | RECAP | |||||||||||
2022-12-09 | @ | Kraken4,Capitals1 | RECAP | |||||||||||
2022-12-11 | @ | Capitals3,Jets4 | RECAP | |||||||||||
2022-12-13 | @ | Capitals3,Blackhawks2 (OT) | RECAP | |||||||||||
2022-12-15 | @ | Stars2,Capitals3 (OT) | RECAP | |||||||||||
2022-12-17 | @ | Maple Leafs9,Capitals3 | RECAP | |||||||||||
2022-12-19 | @ | Red Wings4,Capitals0 | RECAP | |||||||||||
2022-12-22 | @ | Capitals2,Senators3 | RECAP | |||||||||||
2022-12-23 | @ | Jets2,Capitals1 | RECAP | |||||||||||
2022-12-27 | @ | Capitals4,Rangers3 | RECAP | |||||||||||
2022-12-29 | @ | Senators3,Capitals1 | RECAP | |||||||||||
2022-12-31 | @ | Canadiens3,Capitals0 | RECAP | |||||||||||
2023-01-03 | @ | Sabres3,Capitals0 | RECAP | |||||||||||
2023-01-05 | @ | Capitals4,Blue Jackets3 | RECAP | |||||||||||
2023-01-06 | @ | Predators1,Capitals4 | RECAP | |||||||||||
2023-01-08 | @ | Blue Jackets1,Capitals2 | RECAP | |||||||||||
2023-01-11 | @ | Capitals1,Flyers3 | RECAP | |||||||||||
2023-01-14 | @ | Flyers4,Capitals3 | RECAP | |||||||||||
2023-01-16 | @ | Capitals1,Islanders2 | RECAP | |||||||||||
2023-01-17 | @ | Wild1,Capitals2 (OT) | RECAP | |||||||||||
2023-01-19 | @ | Capitals3,Coyotes4 | RECAP | |||||||||||
2023-01-21 | @ | Capitals2,Golden Knights0 | RECAP | |||||||||||
2023-01-24 | @ | Capitals3,Avalanche0 | RECAP | |||||||||||
2023-01-26 | @ | Penguins3,Capitals0 | RECAP | |||||||||||
2023-01-29 | @ | Capitals1,Maple Leafs4 | RECAP | |||||||||||
2023-01-31 | @ | Capitals4,Blue Jackets3 | RECAP | |||||||||||
2023-02-11 | @ | Capitals5,Bruins2 | RECAP | |||||||||||
2023-02-12 | @ | Sharks2,Capitals3 | RECAP | |||||||||||
2023-02-14 | @ | Hurricanes1,Capitals3 | RECAP | |||||||||||
2023-02-16 | @ | Panthers1,Capitals2 | RECAP | |||||||||||
2023-02-18 | @ | Capitals2,Hurricanes5 | RECAP | |||||||||||
2023-02-21 | @ | Red Wings0,Capitals2 | RECAP | |||||||||||
2023-02-23 | @ | Ducks2,Capitals4 | RECAP | |||||||||||
2023-02-25 | @ | Rangers2,Capitals3 (OT) | RECAP | |||||||||||
2023-02-26 | @ | Capitals4,Sabres3 | RECAP | |||||||||||
2023-03-01 | @ | Capitals2,Ducks3 | RECAP | |||||||||||
2023-03-04 | @ | Capitals4,Sharks3 (SO) | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-06 | @ | Capitals0,Kings4 | RECAP | |||||||||||
2023-03-09 | @ | Devils2,Capitals1 (SO) | RECAP | |||||||||||
2023-03-11 | @ | Capitals2,Islanders5 | RECAP | |||||||||||
2023-03-14 | @ | Capitals1,Rangers4 | RECAP | |||||||||||
2023-03-15 | @ | Sabres4,Capitals5 | RECAP | |||||||||||
2023-03-17 | @ | Blues3,Capitals2 (OT) | RECAP | |||||||||||
2023-03-19 | @ | |||||||||||||
2023-03-21 | @ | |||||||||||||
2023-03-23 | @ | |||||||||||||
2023-03-25 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
57,901,250$ | 0$ | 70,028,689$ | 24,598,750$ |
Arena | Goal Horn | About us | |
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![]() | Name | Capital One Arena | |
City | Washington | ||
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 | 192411 | 159996 | 64974 | 128599 | 31792 |
Attendance PCT | 94.32% | 94.12% | 95.55% | 94.56% | 93.51% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 16993 - 94.41% | 1,495,894$ | 50,860,404$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
57,901,250$ | 57,901,250$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
64,812,742$ | 265,258$ | 62,866,723$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,471,260$ | 27 | 311,647$ | 8,414,469$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
8,760,589$ | 57,901,250$ | 24,453,002$ | 26,163,673$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2023 | |||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Albin Eriksson | 6.5 - 6.0 | ||||
Bryce Brodzinski | 2019 | 205 | |||
Carson Bantle | 2020 | 118 | |||
Dom DiVincentiis | 2022 | 199 | |||
Filip Bystedt | 2022 | 49 | |||
Filip Engaras | |||||
Grant Silianoff | 2019 | 193 | |||
Harrison Blaisdell | 2019 | 48 | |||
Ivan Ivan | 2020 | 157 | |||
Jakub Demek | 2021 | 144 | |||
Joakim Kemell | 2022 | 11 | |||
Josh Davies | 2022 | 215 | |||
Kenny Connors | 2022 | 121 | |||
Kevin Reidler | 2022 | 180 | |||
Liam Ohgren | 2022 | 18 | |||
Luke Hughes | 2021 | 3 | |||
Maxim Mayorov | 2022 | 179 | |||
Michael Benning | 2020 | 68 | |||
Oliver Tarnstrom | 2020 | 148 | |||
Sean Behrens | 2021 | 26 | |||
Simon Knak | 2020 | 137 | |||
Theo Rochette | 2020 | 98 | |||
Theo Wallberg | 2022 | 193 | |||
Vyacheslav Buteyets | 2022 | 212 | |||
Zachary Bolduc | 2021 | 33 | |||
Zachary L'Heureux | 2021 | 34 |
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