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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | RW | 100.00 | 72 | 64 | 89 | 80 | 71 | 83 | 94 | 76 | 58 | 81 | 77 | 66 | 83 | 68 | 65 | 0 | 79 | 25 | 6,400,000$/5yrs | |||||
![]() | C | 100.00 | 64 | 40 | 76 | 81 | 80 | 81 | 90 | 74 | 73 | 85 | 70 | 63 | 80 | 75 | 60 | 0 | 77 | 31 | 7,800,000$/3yrs | |||||
![]() | C | 100.00 | 69 | 40 | 82 | 78 | 71 | 78 | 92 | 73 | 69 | 81 | 72 | 68 | 56 | 62 | 59 | 0 | 76 | 24 | 3,000,000$/2yrs | |||||
![]() | RW | 100.00 | 80 | 40 | 86 | 68 | 87 | 73 | 92 | 68 | 58 | 73 | 74 | 69 | 56 | 80 | 60 | 0 | 76 | 31 | 4,000,000$/5yrs | |||||
![]() | C | 100.00 | 71 | 65 | 76 | 81 | 78 | 80 | 81 | 69 | 58 | 76 | 69 | 71 | 85 | 60 | 58 | 0 | 75 | 22 | 3,362,500$/4yrs | |||||
![]() | C | 100.00 | 76 | 58 | 74 | 72 | 77 | 71 | 85 | 65 | 78 | 76 | 67 | 74 | 54 | 61 | 58 | 0 | 74 | 24 | 1,460,000$/2yrs | |||||
![]() | C | 100.00 | 66 | 66 | 74 | 72 | 73 | 77 | 91 | 69 | 70 | 77 | 68 | 62 | 59 | 76 | 65 | 0 | 73 | 30 | 5,000,000$/5yrs | |||||
![]() | RW | 100.00 | 82 | 40 | 84 | 68 | 77 | 61 | 81 | 62 | 54 | 70 | 68 | 70 | 54 | 59 | 58 | 0 | 71 | 26 | 1,300,000$/2yrs | |||||
![]() | C | 100.00 | 71 | 58 | 84 | 68 | 74 | 67 | 91 | 62 | 61 | 74 | 63 | 74 | 54 | 67 | 59 | 0 | 71 | 25 | 2,000,000$/2yrs | |||||
![]() | RW | 100.00 | 73 | 69 | 76 | 66 | 79 | 64 | 78 | 64 | 54 | 73 | 67 | 66 | 59 | 59 | 58 | 0 | 70 | 23 | 1,431,667$/2yrs | |||||
![]() | LW | 100.00 | 78 | 68 | 77 | 67 | 77 | 62 | 84 | 61 | 58 | 69 | 66 | 70 | 54 | 59 | 58 | 0 | 70 | 29 | 800,000$/2yrs | |||||
![]() | C/RW | 100.00 | 72 | 40 | 92 | 66 | 79 | 63 | 79 | 61 | 66 | 71 | 61 | 73 | 54 | 59 | 58 | 0 | 70 | 30 | 1,200,000$/2yrs | |||||
![]() | D | 100.00 | 80 | 72 | 78 | 75 | 78 | 87 | 93 | 65 | 40 | 75 | 63 | 84 | 54 | 75 | 68 | 0 | 77 | 29 | 8,000,000$/3yrs | |||||
![]() | D | 100.00 | 67 | 40 | 80 | 89 | 70 | 86 | 88 | 68 | 40 | 79 | 64 | 72 | 54 | 73 | 69 | 0 | 76 | 31 | 7,000,000$/2yrs | |||||
![]() | D | 100.00 | 72 | 67 | 74 | 73 | 69 | 88 | 87 | 61 | 40 | 72 | 61 | 85 | 54 | 73 | 66 | 0 | 75 | 29 | 6,000,000$/1yrs | |||||
![]() | D | 100.00 | 73 | 40 | 87 | 71 | 88 | 77 | 83 | 59 | 40 | 71 | 59 | 87 | 54 | 83 | 72 | 0 | 75 | 35 | 6,000,000$/2yrs | |||||
![]() | D | 100.00 | 67 | 65 | 89 | 72 | 71 | 80 | 84 | 61 | 40 | 73 | 61 | 87 | 54 | 70 | 59 | 0 | 74 | 32 | 950,000$/4yrs | |||||
![]() | D | 100.00 | 63 | 40 | 89 | 77 | 71 | 79 | 74 | 66 | 40 | 76 | 64 | 72 | 54 | 59 | 58 | 0 | 73 | 23 | 2,600,000$/3yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW | 100.00 | 86 | 82 | 73 | 66 | 87 | 60 | 79 | 59 | 56 | 70 | 61 | 68 | 54 | 62 | 59 | 0 | 69 | 27 | 1,350,000$/1yrs | |||||
![]() | D | 100.00 | 73 | 71 | 73 | 62 | 89 | 70 | 71 | 58 | 40 | 70 | 58 | 80 | 54 | 58 | 58 | 0 | 70 | 25 | 900,000$/2yrs | |||||
TEAM AVERAGE | 100.00 | 73 | 56 | 81 | 73 | 77 | 74 | 85 | 65 | 55 | 75 | 66 | 73 | 59 | 67 | 61 | 0 | 74 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 32 | 100.00 | 87 | 71 | 73 | 74 | 81 | 75 | 84 | 75 | 84 | 78 | 82 | 67 | 60 | 0 | 79 | 34 | 2,000,000$/2yrs | |
![]() | 79 | 99.00 | 72 | 71 | 71 | 79 | 74 | 69 | 76 | 68 | 72 | 70 | 76 | 65 | 59 | 0 | 73 | 31 | 825,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 80 | 71 | 72 | 77 | 78 | 72 | 80 | 72 | 78 | 74 | 79 | 66 | 60 | 0 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Oates | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 61 | 5 | 0$ |
General Manager | Matthew Lacelle |
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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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | John Klingberg | ![]() | 3 | D | 26 | 6 | 12 | 18 | -4 | 18 | 0 | 37 | 48 | 15 | 28 | 12.50% | 34 | 22.33 | 6 | 5 | 11 | 0 | 0 | 0 | 28 | 1 | 0 | 0.00% | 0 | 0 | 0.69 | 0 | 0 | 0.54 | ||
2 | Erik Johnson | ![]() | 6 | D | 26 | 4 | 14 | 18 | 1 | 18 | 0 | 44 | 39 | 7 | 15 | 10.26% | 41 | 20.66 | 1 | 2 | 3 | 0 | 0 | 0 | 89 | 1 | 0 | 0.00% | 0 | 0 | 0.69 | 0 | 0 | 0.59 | ||
3 | Kirby Dach | ![]() | 77 | C | 25 | 8 | 8 | 16 | 8 | 10 | 0 | 37 | 51 | 13 | 30 | 15.69% | 2 | 16.22 | 1 | 3 | 4 | 0 | 0 | 0 | 25 | 3 | 1 | 37.30% | 0 | 0 | 0.64 | 0 | 1 | 0.67 | ||
4 | Nino Niederreiter | ![]() | 62 | RW | 26 | 6 | 10 | 16 | 7 | 18 | 0 | 48 | 49 | 13 | 47 | 12.24% | 2 | 17.73 | 0 | 4 | 4 | 0 | 0 | 0 | 7 | 1 | 1 | 30.77% | 0 | 0 | 0.62 | 0 | 1 | 0.62 | ||
5 | Alex Debrincat | ![]() | 93 | RW | 26 | 9 | 7 | 16 | -4 | 8 | 0 | 46 | 63 | 14 | 41 | 14.29% | 3 | 19.64 | 4 | 2 | 6 | 0 | 0 | 0 | 12 | 2 | 0 | 48.00% | 0 | 0 | 0.62 | 0 | 1 | 0.58 | ||
6 | Martin Necas | ![]() | 88 | C | 26 | 5 | 8 | 13 | 0 | 14 | 0 | 24 | 77 | 22 | 47 | 6.49% | 2 | 18.65 | 1 | 4 | 5 | 0 | 0 | 0 | 3 | 1 | 1 | 47.36% | 0 | 0 | 0.50 | 0 | 1 | 0.51 | ||
7 | Trevor Van Riemsdyk | ![]() | 57 | D | 26 | 3 | 10 | 13 | 3 | 32 | 10 | 31 | 35 | 11 | 21 | 8.57% | 31 | 21.03 | 1 | 3 | 4 | 1 | 0 | 1 | 83 | 1 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.35 | ||
8 | Adam Boqvist | ![]() | 27 | D | 26 | 0 | 12 | 12 | 0 | 10 | 0 | 25 | 25 | 2 | 21 | 0.00% | 19 | 16.66 | 0 | 2 | 2 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0.46 | 0 | 0 | 0.37 | ||
9 | Jacob Trouba | ![]() | 8 | D | 22 | 1 | 11 | 12 | 4 | 42 | 10 | 62 | 35 | 11 | 23 | 2.86% | 34 | 23.25 | 0 | 4 | 4 | 0 | 0 | 0 | 75 | 0 | 0 | 0.00% | 0 | 0 | 0.55 | 0 | 0 | 0.36 | ||
10 | Michael Rasmussen | ![]() | 26 | C | 24 | 1 | 10 | 11 | 7 | 16 | 0 | 26 | 24 | 10 | 34 | 4.17% | 2 | 14.04 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0 | 0 | 49.85% | 0 | 0 | 0.46 | 0 | 0 | 0.40 | ||
11 | Evgeny Kuznetsov | ![]() | 92 | C | 24 | 5 | 6 | 11 | 2 | 8 | 0 | 34 | 42 | 17 | 25 | 11.90% | 5 | 18.43 | 1 | 3 | 4 | 0 | 0 | 0 | 14 | 1 | 0 | 49.11% | 0 | 0 | 0.46 | 0 | 1 | 0.46 | ||
12 | Matt Dumba | ![]() | 24 | D | 25 | 4 | 6 | 10 | -4 | 47 | 5 | 49 | 37 | 17 | 40 | 10.81% | 25 | 22.58 | 2 | 2 | 4 | 0 | 0 | 0 | 54 | 0 | 2 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.13 | ||
13 | Colin Blackwell | ![]() | 43 | C/RW | 24 | 3 | 6 | 9 | 5 | 4 | 0 | 4 | 19 | 3 | 12 | 15.79% | 2 | 7.15 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 50.00% | 0 | 0 | 0.38 | 0 | 0 | 0.37 | ||
14 | Carl Grundstrom | ![]() | 91 | RW | 26 | 4 | 4 | 8 | 1 | 24 | 0 | 40 | 38 | 5 | 21 | 10.53% | 2 | 12.93 | 0 | 0 | 0 | 0 | 1 | 1 | 40 | 0 | 0 | 33.33% | 0 | 0 | 0.31 | 0 | 0 | 0.23 | ||
15 | Ryan Strome | ![]() | 18 | C | 26 | 2 | 5 | 7 | -1 | 10 | 0 | 28 | 37 | 8 | 22 | 5.41% | 3 | 13.45 | 0 | 1 | 1 | 0 | 1 | 1 | 66 | 0 | 0 | 46.23% | 0 | 0 | 0.27 | 0 | 0 | 0.23 | ||
16 | Tyson Jost | ![]() | 17 | C | 24 | 5 | 2 | 7 | 3 | 4 | 0 | 24 | 31 | 6 | 20 | 16.13% | 6 | 12.56 | 1 | 0 | 1 | 0 | 0 | 0 | 48 | 1 | 0 | 34.86% | 0 | 0 | 0.29 | 0 | 0 | 0.35 | ||
17 | Oliver Wahlstrom | ![]() | 46 | RW | 19 | 1 | 3 | 4 | -1 | 13 | 5 | 16 | 15 | 1 | 16 | 6.67% | 1 | 9.31 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 46.15% | 0 | 0 | 0.21 | 0 | 0 | 0.10 | ||
18 | Logan Stanley | ![]() | 16 | D | 18 | 0 | 3 | 3 | 1 | 16 | 0 | 45 | 9 | 2 | 5 | 0.00% | 23 | 15.26 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.13 | ||
19 | Ryan Lomberg | ![]() | 12 | LW | 25 | 1 | 1 | 2 | -2 | 18 | 0 | 29 | 22 | 9 | 23 | 4.55% | 4 | 11.36 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 38.10% | 0 | 0 | 0.08 | 0 | 0 | 0.02 | ||
20 | Brendan Lemieux | ![]() | 0 | LW | 24 | 1 | 1 | 2 | -2 | 14 | 0 | 34 | 10 | 3 | 3 | 10.00% | 0 | 6.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.08 | 0 | 0 | 0.00 | ||
Team Total or Average | 488 | 69 | 139 | 208 | 24 | 344 | 30 | 683 | 706 | 189 | 494 | 9.77% | 241 | 16.12 | 18 | 35 | 53 | 1010 | 1 | 2 | 3 | 798 | 12 | 5 | 46.37% | 2191 | 0 | 0 | 0 | 0 | 0.53 | 0 | 5 |
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 | Antti Raanta | ![]() | 12 | 5 | 5 | 0 | 0.899 | 2.44 | 665 | 0 | 1 | 27 | 268 | 0 | 1 | 0 | 0.000 | 0 | 10 | 16 | 1 | 0 | 0 |
2 | Pheonix Copley | ![]() | 5 | 3 | 1 | 1 | 0.933 | 1.74 | 310 | 0 | 1 | 9 | 135 | 0 | 0 | 0 | 0.750 | 4 | 5 | 20 | 1 | 0 | 0 |
Team Total or Average | 17 | 8 | 6 | 1 | 0.911 | 2.22 | 975 | 0 | 2 | 36 | 403 | 0 | 1 | 0 | 0.750 | 4 | 15 | 36 | 2 | 0 | 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 | 7 | 4 | 3 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 3 | 1 | 3 | 0 | 33 | 14 | 10 | 9 | 0 | 34 | 5 | 12 | 21 | 6 | 4 | 66.67% | 5 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 25 | 18 | 22 | 7 | 11 | 5 | 42.9% | 21.2% | 88.2% | 109.4 | FUN |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 28 | 9 | 15 | 4 | 0 | 14 | 5 | 6 | 27 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 24 | 15 | 22 | 7 | 13 | 7 | 75.0% | 14.3% | 92.9% | 107.1 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 17 | 5 | 12 | 0 | 29 | 10 | 9 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 24 | 17 | 23 | 6 | 11 | 5 | 0.0% | 0.0% | 89.7% | 89.7 | Unlucky |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 0 | 3 | 3 | 0 | 36 | 13 | 12 | 11 | 0 | 26 | 9 | 32 | 18 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 23 | 16 | 24 | 7 | 11 | 6 | 55.6% | 16.7% | 84.6% | 101.3 | FUN |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 1 | 0 | 41 | 14 | 14 | 13 | 0 | 21 | 3 | 4 | 28 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 24 | 17 | 22 | 7 | 12 | 5 | 100.0% | 7.3% | 95.2% | 102.6 | DULL |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 6 | 5 | 13 | 0 | 27 | 7 | 10 | 23 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 20 | 13 | 26 | 7 | 13 | 6 | 0.0% | 0.0% | 88.9% | 88.9 | Unlucky |
7 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 9 | 8 | 6 | 0 | 15 | 4 | 6 | 17 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 15 | 22 | 8 | 14 | 6 | 50.0% | 4.3% | 86.7% | 91.0 | Unlucky |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 23 | 10 | 4 | 9 | 0 | 20 | 12 | 23 | 24 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 15 | 25 | 7 | 12 | 5 | 50.0% | 8.7% | 85.0% | 93.7 | Unlucky |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 46 | 15 | 15 | 16 | 0 | 25 | 10 | 4 | 26 | 8 | 2 | 25.00% | 2 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 23 | 16 | 23 | 7 | 12 | 5 | 20.0% | 6.5% | 84.0% | 90.5 | Unlucky |
10 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 2 | 3 | 0 | 22 | 8 | 7 | 7 | 0 | 33 | 15 | 10 | 23 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 1 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 14 | 24 | 7 | 12 | 6 | 66.7% | 22.7% | 90.9% | 113.6 | FUN |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 12 | 6 | 12 | 0 | 23 | 5 | 12 | 24 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 15 | 24 | 7 | 12 | 6 | 25.0% | 3.3% | 87.0% | 90.3 | Unlucky |
12 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 15 | 5 | 0 | 23 | 6 | 12 | 25 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 14 | 24 | 7 | 13 | 7 | 0.0% | 0.0% | 91.3% | 91.3 | DULL |
13 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 2 | 2 | 1 | 1 | 58 | 22 | 19 | 16 | 1 | 57 | 18 | 20 | 43 | 7 | 1 | 14.29% | 9 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 50 | 34 | 49 | 15 | 24 | 12 | 71.4% | 10.3% | 96.5% | 106.8 | LUCKY |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 39 | 13 | 13 | 13 | 0 | 30 | 6 | 8 | 25 | 4 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 24 | 16 | 22 | 7 | 13 | 6 | 40.0% | 5.1% | 80.0% | 85.1 | Unlucky |
15 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 1 | 4 | 6 | 0 | 69 | 25 | 15 | 29 | 0 | 49 | 14 | 14 | 57 | 11 | 3 | 27.27% | 7 | 1 | 85.71% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 48 | 31 | 44 | 15 | 27 | 13 | 66.7% | 15.9% | 89.8% | 105.7 | FUN |
16 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 47 | 16 | 11 | 17 | 7 | 54 | 23 | 18 | 44 | 11 | 2 | 18.18% | 9 | 1 | 88.89% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 44 | 29 | 52 | 17 | 27 | 12 | 16.7% | 6.4% | 88.9% | 95.3 | Unlucky |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 11 | 5 | 3 | 3 | 0 | 29 | 13 | 20 | 23 | 5 | 1 | 20.00% | 9 | 2 | 77.78% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 23 | 15 | 24 | 8 | 12 | 5 | 33.3% | 18.2% | 86.2% | 104.4 | FUN |
18 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 21 | 6 | 9 | 6 | 0 | 23 | 6 | 14 | 20 | 1 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 21 | 12 | 24 | 8 | 14 | 6 | 75.0% | 14.3% | 95.7% | 109.9 | LUCKY |
19 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 49 | 13 | 19 | 17 | 0 | 67 | 17 | 40 | 47 | 15 | 3 | 20.00% | 18 | 3 | 83.33% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 42 | 26 | 52 | 15 | 24 | 11 | 14.3% | 8.2% | 86.6% | 94.7 | Unlucky |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 31 | 10 | 14 | 7 | 0 | 25 | 3 | 6 | 18 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 25 | 17 | 21 | 8 | 12 | 6 | 50.0% | 16.1% | 88.0% | 104.1 | FUN |
21 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 3 | 0 | 0 | 0 | 26 | 12 | 10 | 4 | 0 | 21 | 7 | 6 | 28 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 14 | 24 | 7 | 13 | 6 | 100.0% | 11.5% | 100.0% | 111.5 | LUCKY |
22 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 25 | 6 | 8 | 11 | 0 | 35 | 10 | 14 | 26 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 20 | 12 | 25 | 8 | 14 | 6 | 100.0% | 16.0% | 94.3% | 110.3 | LUCKY |
_Vs Division | 5 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 7 | 16 | -9 | 1 | 0.100 | 7 | 11 | 18 | 0 | 0 | 2 | 2 | 3 | 0 | 105 | 37 | 23 | 42 | 7 | 130 | 55 | 71 | 114 | 23 | 3 | 13.04% | 27 | 4 | 85.19% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 111 | 74 | 128 | 41 | 64 | 30 | 25.0% | 6.7% | 87.7% | 94.4 | Unlucky | |
_Vs Conference | 13 | 4 | 8 | 0 | 0 | 0 | 0 | 1 | 34 | 42 | -8 | 9 | 0.346 | 34 | 60 | 94 | 0 | 0 | 11 | 12 | 11 | 0 | 372 | 132 | 113 | 124 | 7 | 346 | 114 | 178 | 304 | 72 | 15 | 20.83% | 65 | 8 | 87.69% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 301 | 202 | 321 | 102 | 162 | 77 | 35.8% | 9.1% | 87.9% | 97.0 | FUN | |
_Since Last GM Reset | 26 | 12 | 12 | 0 | 1 | 0 | 0 | 1 | 75 | 71 | 4 | 27 | 0.519 | 75 | 136 | 211 | 0 | 2 | 23 | 26 | 25 | 1 | 746 | 265 | 237 | 240 | 8 | 680 | 208 | 300 | 610 | 122 | 22 | 18.03% | 124 | 17 | 86.29% | 2 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 603 | 402 | 630 | 204 | 336 | 164 | 49.5% | 10.1% | 89.6% | 99.6 | FUN | |
Total | 26 | 12 | 12 | 0 | 1 | 0 | 0 | 1 | 75 | 71 | 4 | 27 | 0.519 | 75 | 136 | 211 | 0 | 2 | 23 | 26 | 25 | 1 | 746 | 265 | 237 | 240 | 8 | 680 | 208 | 300 | 610 | 122 | 22 | 18.03% | 124 | 17 | 86.29% | 2 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 603 | 402 | 630 | 204 | 336 | 164 | 49.5% | 10.1% | 89.6% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 907 |
Neutral Zone Start | 381 |
Defensive Zone Start | 840 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1021 |
Faceoffs Lost | 1107 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 19.3 | 20.31 |
3rd Period | 28.5 | 30.68 |
Overtime | 28.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 51 |
---|---|
PP Goal | 22 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 6 |
Lost | 5 | 7 |
Overtime Lost | 0 | 1 |
PP Attempt | 122 |
---|---|
PP Goal | 22 |
PK Attempt | 124 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 28.7 |
Shots Against | 26.2 |
Goals For | 2.9 |
Goals Against | 2.7 |
Hits | 23.5 |
Shots Blocked | 8.0 |
Pim | 11.5 |
![]() | |
Projected Total Cap Hit | 73,379,167$ |
Projected Cap Space | 9,120,833$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 23,698,617$ |
Players In Salary Cap | 22 |
Contracts | 54/50 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist ![]() | D | 23 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | ![]() | ||||
Alex Debrincat ![]() | RW | 25 | 6,400,000$ | 6,400,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA | ||
Antti Raanta ![]() | G | 34 | 2,000,000$ | 2,000,000$ | 1,500,000$ | UFA | |||||
Brendan Lemieux ![]() | LW | 27 | 1,350,000$ | 1,350,000$ | UFA | ||||||
Carl Grundstrom ![]() | RW | 26 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ![]() | |||||
Colin Blackwell ![]() | C/RW | 30 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Erik Johnson ![]() | D | 35 | 6,000,000$ | 6,000,000$ | 3,250,000$ | UFA | |||||
Evgeny Kuznetsov ![]() | C | 31 | 7,800,000$ | 7,800,000$ | 7,800,000$ | 7,800,000$ | UFA | ||||
Jacob Trouba ![]() | D | 29 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
John Klingberg ![]() | D | 31 | 7,000,000$ | 7,000,000$ | 4,150,000$ | UFA | |||||
Kirby Dach ![]() | C | 22 | 3,362,500$ | 3,362,500$ | 3,362,500$ | 3,362,500$ | 3,362,500$ | ![]() | |||
Logan Stanley ![]() | D | 25 | 900,000$ | 900,000$ | 1,000,000$ | ![]() | |||||
Martin Necas ![]() | C | 24 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ![]() | |||||
Matt Dumba ![]() | D | 29 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Michael Rasmussen ![]() | C | 24 | 1,460,000$ | 1,460,000$ | 1,460,000$ | ![]() | |||||
Nino Niederreiter ![]() | RW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||
Oliver Wahlstrom ![]() | RW | 23 | 1,431,667$ | 1,431,667$ | 874,125$ | ![]() | |||||
Pheonix Copley ![]() | G | 31 | 825,000$ | 825,000$ | 1,500,000$ | UFA | |||||
Ryan Lomberg ![]() | LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Ryan Strome ![]() | C | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Trevor Van Riemsdyk ![]() | D | 32 | 950,000$ | 950,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Tyson Jost ![]() | C | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ![]() |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Alexeyev ![]() | D | 24 | 863,333$ | 863,333$ | RFA | ||||||
Beck Malenstyn ![]() | LW | 25 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Benton Maass ![]() | D | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Brendan Perlini ![]() | C/LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Christian Krygier ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Clark Bishop ![]() | C | 27 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Cole Reinhardt ![]() | C/LW | 23 | 813,333$ | 813,333$ | 813,333$ | ![]() | |||||
Dennis Cholowski ![]() | D | 25 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Dmitry Osipov ![]() | D | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Frederic Allard ![]() | D | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Henry Bowlby ![]() | C/LW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Ilya Usau ![]() | C | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Joe Hicketts ![]() | D | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Kyle Keyser ![]() | G | 24 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Kyle Olson ![]() | RW | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Layton Ahac ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Matt Kiersted ![]() | D | 25 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Michael Callahan ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Mikael Pyyhtia ![]() | LW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Mike Sgarbossa ![]() | C | 31 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Mike Vecchione ![]() ![]() | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Mitchell Weeks ![]() | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
Oscar Dansk ![]() | G | 29 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Oskar Olausson ![]() | RW | 21 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Ross Johnston ![]() | LW | 29 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||
Rourke Chartier ![]() | C | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Ryan McGregor ![]() | C | 24 | 803,633$ | 803,633$ | 775,000$ | ![]() | |||||
Tag Bertuzzi ![]() | C | 22 | 775,000$ | 775,000$ | RFA | ||||||
Ville Heinola ![]() | D | 22 | 1,075,833$ | 1,075,833$ | 1,075,833$ | RFA | |||||
Vinnie Hinostroza ![]() | C/LW/RW | 29 | 762,500$ | 762,500$ | UFA | ||||||
William Lockwood ![]() | RW | 25 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Zac Jones ![]() | D | 23 | 925,000$ | 925,000$ | 812,500$ | 812,500$ | ![]() |
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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 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 3 | 1 | 3 | 0 | 33 | 14 | 10 | 9 | 0 | 34 | 5 | 12 | 21 | 6 | 4 | 66.67% | 5 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 25 | 18 | 22 | 7 | 11 | 5 | 42.9% | 21.2% | 88.2% | 109.4 | FUN |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 28 | 9 | 15 | 4 | 0 | 14 | 5 | 6 | 27 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 24 | 15 | 22 | 7 | 13 | 7 | 75.0% | 14.3% | 92.9% | 107.1 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 17 | 5 | 12 | 0 | 29 | 10 | 9 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 24 | 17 | 23 | 6 | 11 | 5 | 0.0% | 0.0% | 89.7% | 89.7 | Unlucky |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 0 | 3 | 3 | 0 | 36 | 13 | 12 | 11 | 0 | 26 | 9 | 32 | 18 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 23 | 16 | 24 | 7 | 11 | 6 | 55.6% | 16.7% | 84.6% | 101.3 | FUN |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 1 | 0 | 41 | 14 | 14 | 13 | 0 | 21 | 3 | 4 | 28 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 24 | 17 | 22 | 7 | 12 | 5 | 100.0% | 7.3% | 95.2% | 102.6 | DULL |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 6 | 5 | 13 | 0 | 27 | 7 | 10 | 23 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 20 | 13 | 26 | 7 | 13 | 6 | 0.0% | 0.0% | 88.9% | 88.9 | Unlucky |
7 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 9 | 8 | 6 | 0 | 15 | 4 | 6 | 17 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 15 | 22 | 8 | 14 | 6 | 50.0% | 4.3% | 86.7% | 91.0 | Unlucky |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 23 | 10 | 4 | 9 | 0 | 20 | 12 | 23 | 24 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 15 | 25 | 7 | 12 | 5 | 50.0% | 8.7% | 85.0% | 93.7 | Unlucky |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 46 | 15 | 15 | 16 | 0 | 25 | 10 | 4 | 26 | 8 | 2 | 25.00% | 2 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 23 | 16 | 23 | 7 | 12 | 5 | 20.0% | 6.5% | 84.0% | 90.5 | Unlucky |
10 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 2 | 3 | 0 | 22 | 8 | 7 | 7 | 0 | 33 | 15 | 10 | 23 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 1 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 14 | 24 | 7 | 12 | 6 | 66.7% | 22.7% | 90.9% | 113.6 | FUN |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 12 | 6 | 12 | 0 | 23 | 5 | 12 | 24 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 15 | 24 | 7 | 12 | 6 | 25.0% | 3.3% | 87.0% | 90.3 | Unlucky |
12 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 15 | 5 | 0 | 23 | 6 | 12 | 25 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 14 | 24 | 7 | 13 | 7 | 0.0% | 0.0% | 91.3% | 91.3 | DULL |
13 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 2 | 2 | 1 | 1 | 58 | 22 | 19 | 16 | 1 | 57 | 18 | 20 | 43 | 7 | 1 | 14.29% | 9 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 50 | 34 | 49 | 15 | 24 | 12 | 71.4% | 10.3% | 96.5% | 106.8 | LUCKY |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 39 | 13 | 13 | 13 | 0 | 30 | 6 | 8 | 25 | 4 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 24 | 16 | 22 | 7 | 13 | 6 | 40.0% | 5.1% | 80.0% | 85.1 | Unlucky |
15 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 1 | 4 | 6 | 0 | 69 | 25 | 15 | 29 | 0 | 49 | 14 | 14 | 57 | 11 | 3 | 27.27% | 7 | 1 | 85.71% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 48 | 31 | 44 | 15 | 27 | 13 | 66.7% | 15.9% | 89.8% | 105.7 | FUN |
16 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 47 | 16 | 11 | 17 | 7 | 54 | 23 | 18 | 44 | 11 | 2 | 18.18% | 9 | 1 | 88.89% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 44 | 29 | 52 | 17 | 27 | 12 | 16.7% | 6.4% | 88.9% | 95.3 | Unlucky |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 11 | 5 | 3 | 3 | 0 | 29 | 13 | 20 | 23 | 5 | 1 | 20.00% | 9 | 2 | 77.78% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 23 | 15 | 24 | 8 | 12 | 5 | 33.3% | 18.2% | 86.2% | 104.4 | FUN |
18 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 21 | 6 | 9 | 6 | 0 | 23 | 6 | 14 | 20 | 1 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 21 | 12 | 24 | 8 | 14 | 6 | 75.0% | 14.3% | 95.7% | 109.9 | LUCKY |
19 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 49 | 13 | 19 | 17 | 0 | 67 | 17 | 40 | 47 | 15 | 3 | 20.00% | 18 | 3 | 83.33% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 42 | 26 | 52 | 15 | 24 | 11 | 14.3% | 8.2% | 86.6% | 94.7 | Unlucky |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 31 | 10 | 14 | 7 | 0 | 25 | 3 | 6 | 18 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 25 | 17 | 21 | 8 | 12 | 6 | 50.0% | 16.1% | 88.0% | 104.1 | FUN |
21 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 3 | 0 | 0 | 0 | 26 | 12 | 10 | 4 | 0 | 21 | 7 | 6 | 28 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 22 | 14 | 24 | 7 | 13 | 6 | 100.0% | 11.5% | 100.0% | 111.5 | LUCKY |
22 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 25 | 6 | 8 | 11 | 0 | 35 | 10 | 14 | 26 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 20 | 12 | 25 | 8 | 14 | 6 | 100.0% | 16.0% | 94.3% | 110.3 | LUCKY |
_Vs Division | 5 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 7 | 16 | -9 | 1 | 0.100 | 7 | 11 | 18 | 0 | 0 | 2 | 2 | 3 | 0 | 105 | 37 | 23 | 42 | 7 | 130 | 55 | 71 | 114 | 23 | 3 | 13.04% | 27 | 4 | 85.19% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 111 | 74 | 128 | 41 | 64 | 30 | 25.0% | 6.7% | 87.7% | 94.4 | Unlucky | |
_Vs Conference | 13 | 4 | 8 | 0 | 0 | 0 | 0 | 1 | 34 | 42 | -8 | 9 | 0.346 | 34 | 60 | 94 | 0 | 0 | 11 | 12 | 11 | 0 | 372 | 132 | 113 | 124 | 7 | 346 | 114 | 178 | 304 | 72 | 15 | 20.83% | 65 | 8 | 87.69% | 0 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 301 | 202 | 321 | 102 | 162 | 77 | 35.8% | 9.1% | 87.9% | 97.0 | FUN | |
_Since Last GM Reset | 26 | 12 | 12 | 0 | 1 | 0 | 0 | 1 | 75 | 71 | 4 | 27 | 0.519 | 75 | 136 | 211 | 0 | 2 | 23 | 26 | 25 | 1 | 746 | 265 | 237 | 240 | 8 | 680 | 208 | 300 | 610 | 122 | 22 | 18.03% | 124 | 17 | 86.29% | 2 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 603 | 402 | 630 | 204 | 336 | 164 | 49.5% | 10.1% | 89.6% | 99.6 | FUN | |
Total | 26 | 12 | 12 | 0 | 1 | 0 | 0 | 1 | 75 | 71 | 4 | 27 | 0.519 | 75 | 136 | 211 | 0 | 2 | 23 | 26 | 25 | 1 | 746 | 265 | 237 | 240 | 8 | 680 | 208 | 300 | 610 | 122 | 22 | 18.03% | 124 | 17 | 86.29% | 2 | 442 | 907 | 48.73% | 397 | 840 | 47.26% | 182 | 381 | 47.77% | 603 | 402 | 630 | 204 | 336 | 164 | 49.5% | 10.1% | 89.6% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 907 |
Neutral Zone Start | 381 |
Defensive Zone Start | 840 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1021 |
Faceoffs Lost | 1107 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 19.3 | 20.31 |
3rd Period | 28.5 | 30.68 |
Overtime | 28.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 51 |
---|---|
PP Goal | 22 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 6 |
Lost | 5 | 7 |
Overtime Lost | 0 | 1 |
PP Attempt | 122 |
---|---|
PP Goal | 22 |
PK Attempt | 124 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 28.7 |
Shots Against | 26.2 |
Goals For | 2.9 |
Goals Against | 2.7 |
Hits | 23.5 |
Shots Blocked | 8.0 |
Pim | 11.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wed, Oct 18 | ![]() | @ | ![]() | BOS1,WAS3 | RECAP | |||||||||
Thu, Oct 19 | ![]() | @ | ![]() | WAS4,TOR1 | RECAP | |||||||||
Sat, Oct 21 | ![]() | @ | ![]() | MON4,WAS6 | RECAP | |||||||||
Mon, Oct 23 | ![]() | @ | ![]() | VAN2,WAS6 | RECAP | |||||||||
Thu, Oct 26 | ![]() | @ | ![]() | WAS0,OTT3 | RECAP | |||||||||
Sat, Oct 28 | ![]() | @ | ![]() | LAK3,WAS1 | RECAP | |||||||||
Mon, Oct 30 | ![]() | @ | ![]() | WAS1,NJD3 | RECAP | |||||||||
Thu, Nov 2 | ![]() | @ | ![]() | WAS2,DAL6 | RECAP | |||||||||
Sat, Nov 4 | ![]() | @ | ![]() | WAS5,NAS3 | RECAP | |||||||||
Mon, Nov 6 | ![]() | @ | ![]() | WAS0,CAR3 | RECAP | |||||||||
Tue, Nov 7 | ![]() | @ | ![]() | VGK0,WAS3 | RECAP | |||||||||
Thu, Nov 9 | ![]() | @ | ![]() | WAS3,DET4 | RECAP | |||||||||
Sat, Nov 11 | ![]() | @ | ![]() | ARI1,WAS3 | RECAP | |||||||||
Mon, Nov 13 | ![]() | @ | ![]() | EDM3,WAS5 | RECAP | |||||||||
Wed, Nov 15 | ![]() | @ | ![]() | PIT4,WAS2 | RECAP | |||||||||
Fri, Nov 17 | ![]() | @ | ![]() | TAM4,WAS2 | RECAP | |||||||||
Sun, Nov 19 | ![]() | @ | ![]() | WAS2,TAM5 | RECAP | |||||||||
Tue, Nov 21 | ![]() | @ | ![]() | WAS7,FLO4 | RECAP | |||||||||
Thu, Nov 23 | ![]() | @ | ![]() | WAS0,STL2 | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | COL2,WAS1 | RECAP | |||||||||
Wed, Nov 29 | ![]() | @ | ![]() | PHI3,WAS2 | RECAP | |||||||||
Fri, Dec 1 | ![]() | @ | ![]() | CAL0,WAS3 | RECAP | |||||||||
Sat, Dec 2 | ![]() | @ | ![]() | WAS2,NJD3 (SO) | RECAP | |||||||||
Tue, Dec 5 | ![]() | @ | ![]() | WAS5,VAN3 | RECAP | |||||||||
Thu, Dec 7 | ![]() | @ | ![]() | WAS4,KRA2 | RECAP | |||||||||
Sat, Dec 9 | ![]() | @ | ![]() | WAS3,CAL2 (OT) | RECAP | |||||||||
Mon, Dec 11 | ![]() | @ | ![]() | |||||||||||
Wed, Dec 13 | ![]() | @ | ![]() | |||||||||||
Fri, Dec 15 | ![]() | @ | ![]() | |||||||||||
Sun, Dec 17 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 19 | ![]() | @ | ![]() | |||||||||||
Thu, Dec 21 | ![]() | @ | ![]() | |||||||||||
Sat, Dec 23 | ![]() | @ | ![]() | |||||||||||
Mon, Dec 25 | ![]() | @ | ![]() | |||||||||||
Thu, Dec 28 | ![]() | @ | ![]() | |||||||||||
Fri, Dec 29 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 2 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 4 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 6 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 9 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 11 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 12 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 14 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 17 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 20 | ![]() | @ | ![]() | |||||||||||
Mon, Jan 22 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 23 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 25 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 27 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 30 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 1 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 4 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 6 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 17 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 18 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 20 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 22 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 24 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 27 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 29 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Sat, Mar 2 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 3 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 6 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 9 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 11 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 14 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 16 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 19 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 20 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 22 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 24 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 26 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 28 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 30 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 3 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 4 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 7 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 11 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 13 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 15 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 16 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 18 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
73,379,167$ | 0$ | 73,379,167$ | 9,120,833$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | US Airways Arena | |
City | Washington | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 85$ | 40$ | 25$ | 20$ | 190$ |
Attendance | 56576 | 46893 | 34911 | 46144 | 9719 |
Attendance PCT | 94.29% | 97.69% | 96.98% | 96.13% | 80.99% |
Income | |||||
---|---|---|---|---|---|
![]() |
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
29 | 16187 - 95.22% | 1,282,263$ | 15,387,150$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
73,379,167$ | 73,379,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
23,698,617$ | 73,379,167$ | 23,698,617$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
37,185,612$ | 130 | 388,250$ | 50,472,500$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
52,263,900$ | 73,379,167$ | 34,482,271$ | 22,445,677$ |
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 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Colten Ellis | ![]() | 2020 | 95 | Link | |
Dennis Busby | ![]() | 2019 | 180 | Link | |
Isak Walther | ![]() | 2020 | 205 | Link | |
Jakub Brabanec | ![]() | 2022 | 75 | Link | |
Martin Has | ![]() | 2020 | 191 | Link | |
Patrik Silkanen | ![]() | 2019 | 210 | Link | |
Samuel Sjolund | ![]() | 2020 | 150 | Link |
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 |
---|---|---|---|---|---|
Colten Ellis | ![]() | 2020 | 95 | Link | |
Dennis Busby | ![]() | 2019 | 180 | Link | |
Isak Walther | ![]() | 2020 | 205 | Link | |
Jakub Brabanec | ![]() | 2022 | 75 | Link | |
Martin Has | ![]() | 2020 | 191 | Link | |
Patrik Silkanen | ![]() | 2019 | 210 | Link | |
Samuel Sjolund | ![]() | 2020 | 150 | Link |
|