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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Long Island Jaguars 8-3-0, 16pts · 2nd in World Conference |
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/RW | 100.00 | 78 | 43 | 85 | 80 | 64 | 77 | 96 | 96 | 33 | 76 | 94 | 63 | 58 | 67 | 71 | 86 | 75 | 80 | 33 | 5,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 86 | 47 | 91 | 82 | 86 | 80 | 93 | 99 | 25 | 80 | 87 | 57 | 51 | 98 | 99 | 84 | 75 | 78 | 38 | 15,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 81 | 56 | 78 | 78 | 84 | 76 | 94 | 77 | 87 | 75 | 80 | 81 | 76 | 75 | 77 | 78 | 75 | 78 | 31 | 3,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 77 | 54 | 86 | 79 | 70 | 74 | 89 | 78 | 93 | 76 | 80 | 81 | 41 | 81 | 81 | 78 | 75 | 78 | 34 | 3,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 99 | 89 | 74 | 75 | 71 | 67 | 88 | 67 | 44 | 67 | 80 | 82 | 25 | 62 | 63 | 74 | 75 | 75 | 28 | 825,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 87 | 58 | 85 | 81 | 69 | 73 | 99 | 76 | 41 | 76 | 74 | 62 | 25 | 72 | 76 | 75 | 75 | 72 | 28 | 4,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 89 | 55 | 94 | 88 | 65 | 72 | 93 | 77 | 97 | 72 | 64 | 83 | 25 | 77 | 81 | 67 | 75 | 71 | 31 | 2,500,000$/2yrs | |||
![]() | 1 | C/LW | 100.00 | 83 | 46 | 84 | 78 | 83 | 70 | 98 | 64 | 98 | 70 | 64 | 79 | 25 | 91 | 98 | 67 | 75 | 70 | 35 | 2,900,000$/2yrs | |||
![]() | 90 | C/LW | 100.00 | 77 | 53 | 86 | 82 | 67 | 67 | 95 | 70 | 63 | 76 | 66 | 69 | 25 | 75 | 76 | 70 | 75 | 70 | 31 | 3,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 42 | 86 | 79 | 71 | 68 | 99 | 65 | 50 | 67 | 70 | 76 | 75 | 74 | 77 | 69 | 75 | 70 | 31 | 3,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 42 | 91 | 80 | 68 | 65 | 69 | 73 | 35 | 62 | 71 | 70 | 25 | 65 | 65 | 67 | 75 | 67 | 24 | 1,100,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 76 | 43 | 92 | 76 | 70 | 65 | 97 | 65 | 87 | 62 | 59 | 84 | 75 | 72 | 73 | 60 | 75 | 65 | 29 | 1,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 42 | 84 | 92 | 68 | 90 | 99 | 91 | 25 | 73 | 54 | 71 | 57 | 86 | 86 | 83 | 75 | 80 | 34 | 7,000,000$/3yrs | |||
![]() | 3 | D | 100.00 | 76 | 56 | 86 | 77 | 81 | 80 | 77 | 64 | 25 | 60 | 47 | 92 | 25 | 70 | 73 | 62 | 75 | 74 | 29 | 5,750,000$/6yrs | |||
![]() | 0 | D | 100.00 | 65 | 42 | 85 | 82 | 69 | 83 | 85 | 62 | 25 | 65 | 47 | 89 | 25 | 83 | 86 | 63 | 75 | 74 | 34 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 95 | 74 | 72 | 78 | 95 | 63 | 25 | 52 | 47 | 92 | 25 | 71 | 73 | 58 | 75 | 72 | 33 | 2,050,000$/2yrs | |||
![]() | 5 | D | 100.00 | 96 | 99 | 68 | 81 | 85 | 76 | 97 | 64 | 25 | 52 | 50 | 87 | 75 | 83 | 87 | 59 | 75 | 70 | 33 | 4,000,000$/1yrs | |||
![]() | 6 | D | 100.00 | 86 | 66 | 88 | 77 | 84 | 64 | 82 | 60 | 25 | 40 | 49 | 86 | 25 | 85 | 87 | 51 | 75 | 65 | 36 | 1,650,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 14 | LW | 100.00 | 81 | 99 | 68 | 68 | 88 | 63 | 83 | 71 | 37 | 69 | 58 | 66 | 25 | 79 | 87 | 63 | 75 | 64 | 36 | 500,000$/1yrs | |||
![]() | 92 | LW/RW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 75 | 1 | 31 | 5,571,429$/2yrs | |||
![]() | 77 | D | 100.00 | 73 | 43 | 88 | 79 | 73 | 67 | 99 | 62 | 25 | 52 | 48 | 75 | 25 | 72 | 75 | 57 | 75 | 64 | 30 | 2,000,000$/3yrs | |||
TEAM AVERAGE | 100.00 | 76 | 53 | 81 | 76 | 71 | 69 | 87 | 69 | 46 | 63 | 61 | 74 | 39 | 73 | 76 | 65 | 75 | 68 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 84 | 84 | 83 | 74 | 83 | 84 | 81 | 84 | 85 | 84 | 89 | 78 | 81 | 89 | 75 | 88 | 35 | 7,000,000$/2yrs |
![]() | 0 | 100.00 | 63 | 74 | 72 | 81 | 65 | 60 | 69 | 64 | 65 | 63 | 75 | 59 | 59 | 74 | 75 | 74 | 28 | 1,850,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 79 | 78 | 78 | 74 | 72 | 75 | 74 | 75 | 74 | 82 | 69 | 70 | 82 | 75 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Mike DAmbrosio |
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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% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Adam Henrique | ![]() | 0 | C/LW | 11 | 6 | 10 | 16 | 6 | 14 | 10 | 9 | 37 | 12 | 29 | 16.22% | 3 | 19.17 | 3 | 2 | 5 | 0 | 0 | 0 | 24 | 1 | 0 | 48.62% | 181 | 0 | 0 | 0 | 0 | 1.52 | 1 | 1 |
2 | Nick Bjugstad | ![]() | 0 | C | 11 | 4 | 10 | 14 | 5 | 9 | 5 | 12 | 34 | 19 | 23 | 11.76% | 6 | 18.51 | 0 | 4 | 4 | 0 | 0 | 0 | 22 | 0 | 0 | 55.51% | 236 | 0 | 0 | 0 | 0 | 1.38 | 0 | 1 |
3 | Alexander Ovechkin | ![]() | 0 | LW | 11 | 5 | 8 | 13 | 3 | 8 | 0 | 19 | 38 | 11 | 46 | 13.16% | 0 | 17.64 | 1 | 5 | 6 | 0 | 0 | 0 | 3 | 2 | 0 | 68.18% | 22 | 0 | 0 | 0 | 0 | 1.34 | 0 | 1 |
4 | Jonathan Marchessault | ![]() | 0 | LW/RW | 11 | 7 | 6 | 13 | 2 | 6 | 0 | 6 | 45 | 13 | 29 | 15.56% | 1 | 17.13 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 14.29% | 14 | 0 | 0 | 0 | 0 | 1.38 | 0 | 1 |
5 | Adam Pelech | ![]() | 3 | D | 11 | 2 | 7 | 9 | -3 | 6 | 0 | 30 | 21 | 7 | 16 | 9.52% | 27 | 23.30 | 2 | 4 | 6 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 |
6 | Dakota Joshua | ![]() | 0 | C/LW | 11 | 4 | 4 | 8 | 5 | 18 | 0 | 35 | 23 | 9 | 15 | 17.39% | 1 | 15.98 | 2 | 2 | 4 | 0 | 0 | 0 | 13 | 0 | 1 | 28.00% | 25 | 0 | 0 | 0 | 0 | 0.91 | 1 | 1 |
7 | T.J. Brodie | ![]() | 0 | D | 11 | 1 | 6 | 7 | 3 | 8 | 0 | 23 | 9 | 2 | 5 | 11.11% | 16 | 20.85 | 1 | 2 | 3 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 |
8 | Ivan Barbashev | ![]() | 0 | C/LW/RW | 11 | 4 | 2 | 6 | 7 | 11 | 5 | 11 | 26 | 4 | 16 | 15.38% | 1 | 16.84 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 1 | 0 | 44.44% | 18 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 |
9 | Erik Karlsson | ![]() | 0 | D | 11 | 1 | 5 | 6 | -2 | 8 | 0 | 9 | 13 | 6 | 10 | 7.69% | 4 | 19.92 | 1 | 4 | 5 | 0 | 0 | 0 | 3 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 |
10 | Brenden Dillon | ![]() | 5 | D | 11 | 1 | 5 | 6 | 5 | 25 | 5 | 47 | 12 | 2 | 5 | 8.33% | 16 | 18.25 | 0 | 1 | 1 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 1 |
11 | Jean-Gabriel Pageau | ![]() | 0 | C | 11 | 2 | 3 | 5 | 1 | 2 | 0 | 17 | 26 | 2 | 13 | 7.69% | 3 | 16.44 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0 | 0 | 60.98% | 287 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 |
12 | Jordan Martinook | ![]() | 0 | C/LW/RW | 11 | 3 | 1 | 4 | -3 | 2 | 0 | 7 | 9 | 2 | 5 | 33.33% | 0 | 9.33 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 62.50% | 8 | 0 | 0 | 0 | 0 | 0.78 | 1 | 1 |
13 | Jordan Staal | ![]() | 1 | C/LW | 11 | 2 | 0 | 2 | -2 | 0 | 0 | 3 | 13 | 1 | 12 | 15.38% | 1 | 9.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.29% | 124 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 |
14 | Erik Johnson | ![]() | 6 | D | 11 | 0 | 2 | 2 | 5 | 9 | 5 | 7 | 3 | 5 | 4 | 0.00% | 13 | 16.58 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 |
15 | Nick Jensen | ![]() | 0 | D | 11 | 1 | 1 | 2 | 3 | 10 | 0 | 20 | 14 | 4 | 3 | 7.14% | 14 | 21.56 | 1 | 0 | 1 | 0 | 0 | 0 | 44 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 |
16 | Vladislav Namestnikov | ![]() | 90 | C/LW | 11 | 0 | 2 | 2 | -4 | 8 | 0 | 8 | 14 | 3 | 6 | 0.00% | 1 | 9.12 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 9 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 |
17 | David Kampf | ![]() | 0 | C/LW/RW | 11 | 0 | 1 | 1 | -4 | 2 | 0 | 3 | 18 | 5 | 6 | 0.00% | 1 | 13.96 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 0 | 0 | 51.43% | 70 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 |
18 | Filip Zadina | ![]() | 0 | LW/RW | 11 | 0 | 1 | 1 | -1 | 2 | 0 | 1 | 5 | 3 | 8 | 0.00% | 1 | 9.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 |
Team Total or Average | 198 | 43 | 74 | 117 | 26 | 148 | 30 | 267 | 360 | 110 | 251 | 11.94% | 109 | 16.29 | 15 | 28 | 43 | 333 | 0 | 0 | 0 | 349 | 7 | 3 | 54.80% | 1000 | 0 | 0 | 0 | 0 | 0.73 | 3 | 7 |
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 | Sergei Bobrovski | ![]() | 11 | 8 | 2 | 0 | 0.906 | 3.24 | 611 | 0 | 1 | 33 | 350 | 0 | 0 | 0 | 0.714 | 7 | 11 | 0 | 1 | 2 | 0 |
2 | Karel Vejmelka | ![]() | 2 | 0 | 1 | 0 | 0.905 | 2.18 | 55 | 0 | 0 | 2 | 21 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Team Total or Average | 13 | 8 | 3 | 0 | 0.906 | 3.15 | 666 | 0 | 1 | 35 | 371 | 0 | 0 | 0 | 0.714 | 7 | 11 | 11 | 1 | 2 | 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 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4.00 | 2.50 | 1.50 | 4 | 1.000 | 4.0 | 6.5 | 10.5 | 0 | 0 | 3 | 2 | 2 | 3 | 32.0 | 19 | 28 | 15 | 9 | 30.5 | 10.5 | 8.00 | 29.5 | 5.00 | 2.00 | 40.00% | 4.00 | 1.00 | 75.00% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 23.50 | 16.00 | 25.50 | 7.50 | 13.00 | 6.50 | 57.1% | 12.5% | 91.8% | 104.3 | LUCKY |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 3 | 1 | 0 | 24.5 | 19 | 24 | 6 | 0 | 34.0 | 9.0 | 17.00 | 20.5 | 4.00 | 2.50 | 62.50% | 6.00 | 2.00 | 66.67% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.00 | 14.50 | 24.50 | 8.00 | 13.00 | 6.00 | 33.3% | 14.3% | 88.2% | 102.5 | FUN |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 4.50 | 0.00 | 2 | 0.500 | 4.5 | 7.5 | 12.0 | 0 | 0 | 4 | 4 | 1 | 0 | 35.5 | 26 | 21 | 24 | 0 | 33.5 | 9.5 | 12.50 | 21.5 | 1.50 | 0.00 | 0.00% | 5.00 | 1.50 | 70.00% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.00 | 15.00 | 24.50 | 7.50 | 13.00 | 6.00 | 60.0% | 12.7% | 86.6% | 99.2 | FUN |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.00 | 1.00 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 1 | 3 | 5 | 0 | 0 | 35.0 | 14 | 31 | 25 | 0 | 35.0 | 8.5 | 12.50 | 24.5 | 4.00 | 1.00 | 25.00% | 5.00 | 1.00 | 80.00% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 23.00 | 16.00 | 24.50 | 7.00 | 12.00 | 6.00 | 60.0% | 11.4% | 91.4% | 102.9 | LUCKY |
5 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 4 | 1.000 | 4.0 | 6.0 | 10.0 | 0 | 0 | 5 | 1 | 2 | 0 | 32.0 | 23 | 16 | 25 | 0 | 34.5 | 10.5 | 19.00 | 28.5 | 5.50 | 1.50 | 27.27% | 5.50 | 0.00 | 100.00% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.00 | 15.00 | 25.00 | 7.00 | 12.00 | 6.00 | 55.6% | 12.5% | 94.2% | 106.7 | LUCKY |
6 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4.00 | 3.00 | 1.00 | 2 | 1.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 2 | 0 | 1 | 1 | 42.0 | 12 | 14 | 13 | 3 | 36.0 | 13.0 | 10.00 | 18.0 | 4.00 | 1.00 | 25.00% | 5.00 | 2.00 | 60.00% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 25.00 | 16.00 | 23.00 | 7.00 | 13.00 | 6.00 | 75.0% | 9.5% | 91.7% | 101.2 | LUCKY |
_Vs Division | 11 | 6 | 3 | 0 | 1 | 0 | 1 | 0 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 6.7 | 10.7 | 0 | 1 | 20 | 15 | 7 | 4 | 32.7 | 113 | 134 | 108 | 12 | 33.7 | 9.9 | 13.45 | 24.3 | 4.00 | 1.36 | 34.09% | 5.09 | 1.18 | 76.79% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.82 | 15.64 | 24.73 | 7.64 | 12.91 | 6.27 | 56.9% | 12.2% | 90.6% | 102.8 | FUN | |
_Vs Conference | 11 | 6 | 3 | 0 | 1 | 0 | 1 | 0 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 6.7 | 10.7 | 0 | 1 | 20 | 15 | 7 | 4 | 32.7 | 113 | 134 | 108 | 12 | 33.7 | 9.9 | 13.45 | 24.3 | 4.00 | 1.36 | 34.09% | 5.09 | 1.18 | 76.79% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.82 | 15.64 | 24.73 | 7.64 | 12.91 | 6.27 | 56.9% | 12.2% | 90.6% | 102.8 | FUN | |
_Since Last GM Reset | 11 | 6 | 3 | 0 | 1 | 0 | 1 | 0 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 6.7 | 10.7 | 0 | 1 | 20 | 15 | 7 | 4 | 32.7 | 113 | 134 | 108 | 12 | 33.7 | 9.9 | 13.45 | 24.3 | 4.00 | 1.36 | 34.09% | 5.09 | 1.18 | 76.79% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.82 | 15.64 | 24.73 | 7.64 | 12.91 | 6.27 | 56.9% | 12.2% | 90.6% | 102.8 | FUN | |
Total | 11 | 6 | 3 | 0 | 1 | 0 | 1 | 0 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 6.7 | 10.7 | 0 | 1 | 20 | 15 | 7 | 4 | 32.7 | 113 | 134 | 108 | 12 | 33.7 | 9.9 | 13.45 | 24.3 | 4.00 | 1.36 | 34.09% | 5.09 | 1.18 | 76.79% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.82 | 15.64 | 24.73 | 7.64 | 12.91 | 6.27 | 56.9% | 12.2% | 90.6% | 102.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 385 |
Neutral Zone Start | 181 |
Defensive Zone Start | 425 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 548 |
Faceoffs Lost | 443 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 32.3 | 30.68 |
Overtime | 33.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.8 | 0.64 |
2nd Period | 3.2 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 4.2 | 2.83 |
Even Strenght Goal | 29 |
---|---|
PP Goal | 15 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 5 |
Lost | 2 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 44 |
---|---|
PP Goal | 15 |
PK Attempt | 56 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 32.7 |
Shots Against | 33.7 |
Goals For | 4.0 |
Goals Against | 3.2 |
Hits | 24.3 |
Shots Blocked | 9.9 |
Pim | 13.5 |
![]() | |
Total Salaries | 87,422,263$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 54 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Jaguars Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Henrique | C/LW | 34 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||||
Adam Pelech | D | 29 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |
Alexander Ovechkin | LW | 38 | 15,000,000$ | 15,000,000$ | 15,000,000$ | 15,000,000$ | UFA | |||||
Brenden Dillon | D | 33 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||||
Brett Kulak | D | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Dakota Joshua | C/LW | 28 | 825,000$ | 825,000$ | 825,000$ | UFA | ||||||
David Kampf | C/LW/RW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||||
Erik Johnson | D | 36 | 1,650,000$ | 1,650,000$ | 1,650,000$ | UFA | ||||||
Erik Karlsson | D | 34 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Filip Zadina | LW/RW | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | ||||||
Gabriel Landeskog | LW/RW | 31 | 5,571,429$ | 5,571,429$ | 5,571,429$ | 5,571,429$ | UFA | |||||
Ivan Barbashev | C/LW/RW | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Jean-Gabriel Pageau | C | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Jonathan Marchessault | LW/RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Jordan Martinook | C/LW/RW | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Jordan Staal | C/LW | 35 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | |||||
Karel Vejmelka | G | 28 | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | UFA | |||||
Nick Bjugstad | C | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||||
Nick Jensen | D | 33 | 2,050,000$ | 2,050,000$ | 2,050,000$ | 2,050,000$ | UFA | |||||
Pat Maroon | LW | 36 | 500,000$ | 500,000$ | 500,000$ | UFA | ||||||
Sergei Bobrovski | G | 35 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
T.J. Brodie | D | 34 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||||
Vladislav Namestnikov | C/LW | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Bump | LW | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Alex Steeves | C/LW/RW | 24 | 834,167$ | 834,167$ | 834,167$ | RFA | ||||||
Arnaud Durandeau | LW | 25 | 762,500$ | 76,250$ | 76,250$ | RFA | ||||||
Blake Biondi | C | 22 | 450,000$ | 450,000$ | 450,000$ | RFA | ||||||
Carson Lambos | D | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Collin Graf | C/RW | 21 | 941,667$ | 941,667$ | 941,667$ | 941,667$ | 941,667$ | RFA | ||||
Curtis Lazar | C/RW | 29 | 1,500,000$ | 150,000$ | 150,000$ | UFA | ||||||
Daniil Sobolev | D | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Dylan Duke | C | 21 | 1,000,000$ | 100,000$ | 100,000$ | 100,000$ | 100,000$ | 100,000$ | 100,000$ | RFA | ||
Isaac Poulter | G | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||
Ivan Fedotov | G | 27 | 1,500,000$ | 150,000$ | 150,000$ | 150,000$ | 150,000$ | 150,000$ | UFA | |||
Ivan Morozov | C | 24 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Jack Drury | C | 24 | 925,000$ | 92,500$ | 92,500$ | RFA | ||||||
Jacob Moverare | D | 25 | 762,500$ | 76,250$ | 76,250$ | RFA | ||||||
Jacob Quillan | C | 22 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Jakub Galvas | D | 25 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Josh Filmon | LW | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Josh Lopina | C | 23 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Kirill Gerasimyuk | G | 20 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Massimo Rizzo | C | 23 | 525,000$ | 52,500$ | 52,500$ | RFA | ||||||
Matthew Robertson | D | 23 | 797,500$ | 79,750$ | 79,750$ | RFA | ||||||
Maxim Mayorov | G | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Michael Callahan | D | 24 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Mikael Diotte | D | 21 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Oskar Back | C | 24 | 850,833$ | 85,083$ | 85,083$ | RFA | ||||||
Ryan Suter | D | 39 | 4,000,000$ | 400,000$ | 400,000$ | UFA | ||||||
Sean Farrell | C/LW | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Ty Nelson | D | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Tyce Thompson | RW | 24 | 762,500$ | 76,250$ | 76,250$ | RFA | ||||||
Vladislav Lukashevich | D | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Yaniv Perets | G | 24 | 805,000$ | 80,500$ | 80,500$ | 80,500$ | RFA |
Forward Lines | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4.00 | 2.50 | 1.50 | 4 | 1.000 | 4.0 | 6.5 | 10.5 | 0 | 0 | 3 | 2 | 2 | 3 | 32.0 | 19 | 28 | 15 | 9 | 30.5 | 10.5 | 8.00 | 29.5 | 5.00 | 2.00 | 40.00% | 4.00 | 1.00 | 75.00% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 23.50 | 16.00 | 25.50 | 7.50 | 13.00 | 6.50 | 57.1% | 12.5% | 91.8% | 104.3 | LUCKY |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 3 | 1 | 0 | 24.5 | 19 | 24 | 6 | 0 | 34.0 | 9.0 | 17.00 | 20.5 | 4.00 | 2.50 | 62.50% | 6.00 | 2.00 | 66.67% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.00 | 14.50 | 24.50 | 8.00 | 13.00 | 6.00 | 33.3% | 14.3% | 88.2% | 102.5 | FUN |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 4.50 | 0.00 | 2 | 0.500 | 4.5 | 7.5 | 12.0 | 0 | 0 | 4 | 4 | 1 | 0 | 35.5 | 26 | 21 | 24 | 0 | 33.5 | 9.5 | 12.50 | 21.5 | 1.50 | 0.00 | 0.00% | 5.00 | 1.50 | 70.00% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.00 | 15.00 | 24.50 | 7.50 | 13.00 | 6.00 | 60.0% | 12.7% | 86.6% | 99.2 | FUN |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.00 | 1.00 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 1 | 3 | 5 | 0 | 0 | 35.0 | 14 | 31 | 25 | 0 | 35.0 | 8.5 | 12.50 | 24.5 | 4.00 | 1.00 | 25.00% | 5.00 | 1.00 | 80.00% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 23.00 | 16.00 | 24.50 | 7.00 | 12.00 | 6.00 | 60.0% | 11.4% | 91.4% | 102.9 | LUCKY |
5 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 4 | 1.000 | 4.0 | 6.0 | 10.0 | 0 | 0 | 5 | 1 | 2 | 0 | 32.0 | 23 | 16 | 25 | 0 | 34.5 | 10.5 | 19.00 | 28.5 | 5.50 | 1.50 | 27.27% | 5.50 | 0.00 | 100.00% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.00 | 15.00 | 25.00 | 7.00 | 12.00 | 6.00 | 55.6% | 12.5% | 94.2% | 106.7 | LUCKY |
6 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4.00 | 3.00 | 1.00 | 2 | 1.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 2 | 0 | 1 | 1 | 42.0 | 12 | 14 | 13 | 3 | 36.0 | 13.0 | 10.00 | 18.0 | 4.00 | 1.00 | 25.00% | 5.00 | 2.00 | 60.00% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 25.00 | 16.00 | 23.00 | 7.00 | 13.00 | 6.00 | 75.0% | 9.5% | 91.7% | 101.2 | LUCKY |
_Vs Division | 11 | 6 | 3 | 0 | 1 | 0 | 1 | 0 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 6.7 | 10.7 | 0 | 1 | 20 | 15 | 7 | 4 | 32.7 | 113 | 134 | 108 | 12 | 33.7 | 9.9 | 13.45 | 24.3 | 4.00 | 1.36 | 34.09% | 5.09 | 1.18 | 76.79% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.82 | 15.64 | 24.73 | 7.64 | 12.91 | 6.27 | 56.9% | 12.2% | 90.6% | 102.8 | FUN | |
_Vs Conference | 11 | 6 | 3 | 0 | 1 | 0 | 1 | 0 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 6.7 | 10.7 | 0 | 1 | 20 | 15 | 7 | 4 | 32.7 | 113 | 134 | 108 | 12 | 33.7 | 9.9 | 13.45 | 24.3 | 4.00 | 1.36 | 34.09% | 5.09 | 1.18 | 76.79% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.82 | 15.64 | 24.73 | 7.64 | 12.91 | 6.27 | 56.9% | 12.2% | 90.6% | 102.8 | FUN | |
_Since Last GM Reset | 11 | 6 | 3 | 0 | 1 | 0 | 1 | 0 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 6.7 | 10.7 | 0 | 1 | 20 | 15 | 7 | 4 | 32.7 | 113 | 134 | 108 | 12 | 33.7 | 9.9 | 13.45 | 24.3 | 4.00 | 1.36 | 34.09% | 5.09 | 1.18 | 76.79% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.82 | 15.64 | 24.73 | 7.64 | 12.91 | 6.27 | 56.9% | 12.2% | 90.6% | 102.8 | FUN | |
Total | 11 | 6 | 3 | 0 | 1 | 0 | 1 | 0 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 6.7 | 10.7 | 0 | 1 | 20 | 15 | 7 | 4 | 32.7 | 113 | 134 | 108 | 12 | 33.7 | 9.9 | 13.45 | 24.3 | 4.00 | 1.36 | 34.09% | 5.09 | 1.18 | 76.79% | 0 | 215 | 385 | 55.84% | 237 | 425 | 55.76% | 96 | 181 | 53.04% | 22.82 | 15.64 | 24.73 | 7.64 | 12.91 | 6.27 | 56.9% | 12.2% | 90.6% | 102.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 385 |
Neutral Zone Start | 181 |
Defensive Zone Start | 425 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 548 |
Faceoffs Lost | 443 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 32.3 | 30.68 |
Overtime | 33.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.8 | 0.64 |
2nd Period | 3.2 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 4.2 | 2.83 |
Even Strenght Goal | 29 |
---|---|
PP Goal | 15 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 5 |
Lost | 2 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 44 |
---|---|
PP Goal | 15 |
PK Attempt | 56 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 32.7 |
Shots Against | 33.7 |
Goals For | 4.0 |
Goals Against | 3.2 |
Hits | 24.3 |
Shots Blocked | 9.9 |
Pim | 13.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | ![]() | @ | ![]() | LYN3,JAG4 (SO) | RECAP | |||||||||
6 | ![]() | @ | ![]() | SLA6,JAG3 | RECAP | |||||||||
10 | ![]() | @ | ![]() | JAG5,SLA0 | RECAP | |||||||||
12 | ![]() | @ | ![]() | CRU2,JAG5 | RECAP | |||||||||
14 | ![]() | @ | ![]() | JAG3,CRU2 | RECAP | |||||||||
16 | ![]() | @ | ![]() | JAG4,MOU6 | RECAP | |||||||||
18 | ![]() | @ | ![]() | MOU2,JAG3 | RECAP | |||||||||
21 | ![]() | @ | ![]() | JAG4,GWS3 | RECAP | |||||||||
22 | ![]() | @ | ![]() | JAG4,RIN3 (OT) | RECAP | |||||||||
25 | ![]() | @ | ![]() | JAG4,LYN2 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
26 | ![]() | @ | ![]() | GWS6,JAG5 | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,422,263$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Long Island | ||
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$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
1 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,422,263$ | 87,422,263$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 55,273,144$ | 55,273,144$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() ![]() | ![]() ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aidan Park | ![]() | 2024 | 141 | 0 | |
Anthony Cristoforo | ![]() | 2024 | 112 | 0 | |
Carson Rehkopf | ![]() | 2023 | 36 | - | Link |
Cole Hutson | ![]() | 2024 | 15 | 0 | |
Cooper Foster | ![]() | 2023 | 181 | - | Link |
Dalyn Wakely | ![]() | 2024 | 113 | 0 | |
Denver Barkey | ![]() | 2023 | 67 | - | Link |
Henry Mews | ![]() | 2024 | 57 | 0 | |
Ilya Nabokov | ![]() | 2024 | 29 | 0 | |
Ilya Protas | ![]() | 2024 | 48 | 0 | |
Mitja Jokinen | ![]() | 2024 | 169 | 0 | |
Noah Dower Nilsson | ![]() | 2023 | 63 | - | Link |
Owen Allard | ![]() | 2024 | 111 | 0 | |
Ryan MacPherson | ![]() | 2023 | 191 | - | Link |
Yegor Sidorov | ![]() | 2023 | 29 | - | Link |
Zayne Parekh | ![]() | 2024 | 4 | 0 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() ![]() | ![]() ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aidan Park | ![]() | 2024 | 141 | 0 | |
Anthony Cristoforo | ![]() | 2024 | 112 | 0 | |
Carson Rehkopf | ![]() | 2023 | 36 | - | Link |
Cole Hutson | ![]() | 2024 | 15 | 0 | |
Cooper Foster | ![]() | 2023 | 181 | - | Link |
Dalyn Wakely | ![]() | 2024 | 113 | 0 | |
Denver Barkey | ![]() | 2023 | 67 | - | Link |
Henry Mews | ![]() | 2024 | 57 | 0 | |
Ilya Nabokov | ![]() | 2024 | 29 | 0 | |
Ilya Protas | ![]() | 2024 | 48 | 0 | |
Mitja Jokinen | ![]() | 2024 | 169 | 0 | |
Noah Dower Nilsson | ![]() | 2023 | 63 | - | Link |
Owen Allard | ![]() | 2024 | 111 | 0 | |
Ryan MacPherson | ![]() | 2023 | 191 | - | Link |
Yegor Sidorov | ![]() | 2023 | 29 | - | Link |
Zayne Parekh | ![]() | 2024 | 4 | 0 |
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