|
|
|
|
|
Full Scoreboard »» |
New York Islanders 28-15-7, 63pts · 5th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 34 | C | 97.00 | 71 | 33 | 90 | 92 | 84 | 90 | 88 | 89 | 89 | 86 | 96 | 80 | 92 | 69 | 77 | 0 | 60 | 96 | 25 | 11,634,000$/2yrs | |||
![]() | 9 | LW | 98.00 | 78 | 33 | 87 | 88 | 80 | 85 | 87 | 84 | 65 | 84 | 88 | 73 | 86 | 74 | 83 | 0 | 60 | 93 | 28 | 8,250,000$/3yrs | |||
![]() | 0 | C | 99.00 | 69 | 34 | 94 | 77 | 89 | 90 | 90 | 78 | 93 | 84 | 75 | 88 | 77 | 86 | 99 | 0 | 38 | 90 | 35 | 10,000,000$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 75 | 34 | 93 | 84 | 85 | 88 | 82 | 81 | 55 | 81 | 84 | 81 | 83 | 73 | 72 | 0 | 60 | 90 | 27 | 4,200,000$/3yrs | |||
![]() | 26 | RW | 98.00 | 68 | 34 | 79 | 78 | 92 | 87 | 85 | 80 | 58 | 86 | 77 | 71 | 78 | 87 | 85 | 0 | 59 | 89 | 36 | 8,250,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 64 | 34 | 92 | 79 | 86 | 80 | 90 | 79 | 61 | 75 | 82 | 65 | 80 | 64 | 64 | 0 | 48 | 85 | 23 | 950,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 93 | 36 | 71 | 69 | 84 | 81 | 88 | 70 | 87 | 69 | 72 | 88 | 71 | 76 | 73 | 0 | 53 | 84 | 30 | 1,800,000$/1yrs | |||
![]() | 77 | C/RW | 100.00 | 65 | 34 | 75 | 74 | 86 | 84 | 90 | 74 | 61 | 80 | 72 | 67 | 73 | 62 | 59 | 0 | 60 | 82 | 22 | 2,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 61 | 33 | 97 | 65 | 78 | 80 | 73 | 66 | 85 | 62 | 73 | 84 | 70 | 82 | 92 | 0 | 60 | 81 | 33 | 1,200,000$/2yrs | |||
![]() | 15 | LW/RW | 100.00 | 99 | 38 | 77 | 60 | 67 | 72 | 73 | 66 | 59 | 63 | 66 | 78 | 66 | 76 | 74 | 0 | 60 | 79 | 30 | 1,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 76 | 32 | 92 | 64 | 71 | 75 | 83 | 66 | 74 | 68 | 67 | 73 | 66 | 75 | 74 | 0 | 46 | 78 | 29 | 1,800,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 99 | 49 | 78 | 57 | 88 | 72 | 86 | 61 | 59 | 66 | 61 | 65 | 61 | 86 | 83 | 0 | 58 | 76 | 36 | 1,100,000$/1yrs | |||
![]() | 44 | D | 98.00 | 72 | 36 | 84 | 82 | 86 | 95 | 87 | 76 | 30 | 88 | 67 | 77 | 72 | 74 | 84 | 0 | 60 | 90 | 28 | 7,500,000$/8yrs | |||
![]() | 0 | D | 97.00 | 85 | 35 | 68 | 71 | 79 | 93 | 90 | 75 | 30 | 77 | 64 | 95 | 69 | 74 | 71 | 0 | 60 | 89 | 29 | 3,000,000$/1yrs | |||
![]() | 19 | D | 100.00 | 72 | 34 | 80 | 83 | 94 | 91 | 86 | 70 | 30 | 80 | 72 | 73 | 71 | 75 | 80 | 0 | 50 | 87 | 29 | 7,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 40 | 82 | 61 | 78 | 84 | 89 | 71 | 30 | 69 | 61 | 91 | 66 | 78 | 77 | 0 | 53 | 83 | 31 | 950,000$/1yrs | |||
![]() | 65 | D | 100.00 | 68 | 33 | 84 | 63 | 75 | 86 | 78 | 69 | 30 | 69 | 50 | 86 | 60 | 80 | 79 | 0 | 41 | 82 | 32 | 1,150,000$/1yrs | |||
![]() | 24 | D | 100.00 | 65 | 33 | 88 | 61 | 82 | 83 | 87 | 68 | 30 | 71 | 62 | 79 | 65 | 77 | 76 | 0 | 60 | 81 | 30 | 2,000,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.22 | 74 | 35 | 84 | 73 | 82 | 84 | 85 | 74 | 57 | 75 | 72 | 79 | 73 | 76 | 78 | 0 | 55 | 85 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 29 | 96.00 | 91 | 95 | 82 | 76 | 89 | 85 | 90 | 92 | 88 | 91 | 90 | 89 | 94 | 0 | 48 | 92 | 38 | 5,000,000$/2yrs |
![]() | 30 | 98.00 | 88 | 83 | 75 | 76 | 91 | 82 | 90 | 90 | 87 | 91 | 90 | 67 | 72 | 0 | 39 | 88 | 24 | 1,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 92 | 74 | 71 | 72 | 84 | 75 | 84 | 86 | 79 | 87 | 84 | 80 | 84 | 0 | 40 | 84 | 32 | 2,000,000$/2yrs |
TEAM AVERAGE | 98.00 | 90 | 84 | 76 | 75 | 88 | 81 | 88 | 89 | 85 | 90 | 88 | 79 | 83 | 0 | 42 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Hynes | 99 | 78 | 87 | 65 | 73 | 66 | 78 | USA | 46 | 3 | 1,000,000$ |
General Manager | Andrew Shaughnessy |
---|
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 | Auston Matthews | 34 | C | 50 | 26 | 30 | 56 | 7 | 22 | 0 | 49 | 263 | 81 | 195 | 9.89% | 8 | 22.36 | 7 | 9 | 16 | 167 | 0 | 0 | 0 | 30 | 6 | 2 | 54.98% | 1426 | 0 | 0 | 0 | 0 | 1.00 | 0 | 5 | |
2 | Filip Forsberg | 9 | LW | 50 | 26 | 22 | 48 | 5 | 30 | 0 | 79 | 221 | 52 | 151 | 11.76% | 3 | 21.46 | 7 | 4 | 11 | 165 | 0 | 0 | 0 | 0 | 6 | 3 | 47.06% | 85 | 0 | 0 | 0 | 0 | 0.89 | 1 | 5 | |
3 | Valeri Nichushkin | 0 | LW/RW | 50 | 21 | 24 | 45 | 6 | 22 | 0 | 61 | 232 | 70 | 158 | 9.05% | 12 | 18.87 | 3 | 7 | 10 | 170 | 0 | 0 | 0 | 22 | 1 | 1 | 35.19% | 54 | 0 | 0 | 0 | 1 | 0.95 | 0 | 5 | |
4 | Anze Kopitar | 0 | C | 48 | 15 | 27 | 42 | 8 | 6 | 0 | 30 | 147 | 32 | 110 | 10.20% | 8 | 21.03 | 3 | 8 | 11 | 130 | 1 | 0 | 1 | 110 | 1 | 0 | 56.74% | 1246 | 0 | 0 | 1 | 1 | 0.83 | 1 | 2 | |
5 | Blake Wheeler | 26 | RW | 50 | 9 | 23 | 32 | 6 | 45 | 5 | 95 | 118 | 34 | 71 | 7.63% | 5 | 21.05 | 1 | 5 | 6 | 164 | 0 | 0 | 0 | 0 | 1 | 1 | 37.63% | 93 | 0 | 0 | 0 | 1 | 0.61 | 0 | 2 | |
6 | Dougie Hamilton | 19 | D | 50 | 8 | 18 | 26 | 9 | 28 | 0 | 77 | 60 | 14 | 40 | 13.33% | 36 | 18.58 | 4 | 1 | 5 | 96 | 0 | 0 | 0 | 21 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
7 | Morgan Rielly | 44 | D | 50 | 2 | 24 | 26 | 3 | 10 | 0 | 31 | 58 | 29 | 40 | 3.45% | 47 | 24.42 | 1 | 10 | 11 | 170 | 0 | 1 | 1 | 134 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 1 | 1 | |
8 | MacKenzie Weegar | 0 | D | 50 | 3 | 20 | 23 | 2 | 48 | 0 | 112 | 54 | 10 | 43 | 5.56% | 81 | 21.54 | 1 | 1 | 2 | 47 | 0 | 0 | 0 | 123 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 1 | |
9 | Gabriel Vilardi | 0 | C/RW | 49 | 12 | 11 | 23 | 11 | 6 | 0 | 28 | 89 | 17 | 70 | 13.48% | 1 | 14.28 | 1 | 3 | 4 | 96 | 0 | 0 | 0 | 0 | 2 | 0 | 44.68% | 47 | 0 | 0 | 0 | 0 | 0.66 | 0 | 1 | |
10 | Trevor van Riemsdyk | 0 | D | 48 | 5 | 11 | 16 | 8 | 20 | 0 | 41 | 39 | 10 | 31 | 12.82% | 44 | 16.75 | 0 | 1 | 1 | 44 | 0 | 0 | 0 | 45 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
11 | Kirby Dach | 77 | C/RW | 50 | 6 | 10 | 16 | -3 | 2 | 0 | 8 | 75 | 23 | 88 | 8.00% | 4 | 12.03 | 2 | 3 | 5 | 103 | 0 | 0 | 0 | 0 | 1 | 0 | 46.48% | 213 | 0 | 0 | 0 | 0 | 0.53 | 1 | 1 | |
12 | Sean Kuraly | 0 | C/LW | 49 | 4 | 10 | 14 | 2 | 30 | 0 | 106 | 93 | 30 | 67 | 4.30% | 13 | 15.00 | 0 | 2 | 2 | 87 | 0 | 0 | 0 | 151 | 1 | 0 | 53.50% | 843 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
13 | Jon Merrill | 24 | D | 50 | 1 | 11 | 12 | 2 | 24 | 0 | 43 | 21 | 11 | 17 | 4.76% | 55 | 17.29 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 138 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
14 | Brandon Sutter | 0 | C/RW | 50 | 4 | 4 | 8 | 1 | 0 | 0 | 2 | 56 | 16 | 47 | 7.14% | 5 | 7.34 | 0 | 0 | 0 | 5 | 0 | 1 | 1 | 80 | 1 | 0 | 55.19% | 366 | 0 | 0 | 0 | 0 | 0.44 | 0 | 1 | |
15 | Josh Archibald | 15 | LW/RW | 50 | 3 | 5 | 8 | -3 | 14 | 0 | 55 | 55 | 16 | 48 | 5.45% | 11 | 10.09 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 172 | 0 | 0 | 45.16% | 31 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
16 | Danny DeKeyser | 65 | D | 42 | 1 | 5 | 6 | 3 | 12 | 0 | 45 | 19 | 9 | 15 | 5.26% | 56 | 18.33 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 104 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
17 | Colin Blackwell | 0 | C/RW | 48 | 2 | 4 | 6 | 3 | 4 | 0 | 8 | 35 | 8 | 41 | 5.71% | 2 | 8.75 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 34.78% | 23 | 0 | 0 | 0 | 0 | 0.29 | 1 | 1 | |
18 | Ryan Reaves | 0 | RW | 29 | 0 | 1 | 1 | -2 | 12 | 0 | 23 | 10 | 1 | 7 | 0.00% | 1 | 5.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
Team Total or Average | 863 | 148 | 260 | 408 | 68 | 335 | 5 | 893 | 1645 | 463 | 1239 | 9.00% | 392 | 16.62 | 30 | 54 | 84 | 1462 | 1 | 2 | 3 | 1136 | 25 | 9 | 53.78% | 4437 | 0 | 0 | 1 | 3 | 0.57 | 5 | 25 |
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 | Marc-Andre Fleury | 31 | 20 | 7 | 4 | 0.903 | 2.64 | 1817 | 4 | 2 | 80 | 825 | 0 | 1 | 0 | 0.556 | 9 | 31 | 11 | 2 | 2 | 0 | |
2 | Pavel Francouz | 19 | 7 | 6 | 3 | 0.895 | 2.94 | 1042 | 0 | 0 | 51 | 488 | 0 | 0 | 1 | 0.875 | 16 | 17 | 28 | 1 | 1 | 0 | |
3 | Filip Gustavsson | 4 | 1 | 2 | 0 | 0.932 | 1.73 | 173 | 0 | 0 | 5 | 73 | 0 | 0 | 0 | 0.000 | 0 | 2 | 9 | 0 | 0 | 0 | |
Team Total or Average | 54 | 28 | 15 | 7 | 0.902 | 2.69 | 3032 | 4 | 2 | 136 | 1386 | 0 | 1 | 1 | 0.760 | 25 | 50 | 48 | 3 | 3 | 0 |
Projected Total Cap Hit | 80,008,134$ |
Projected Cap Space | 2,491,866$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 47,906,766$ |
Players In Salary Cap | 20 |
LTIR Players | 1 |
Islanders Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anze Kopitar | C | 35 | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | |||||
Auston Matthews | C | 25 | 11,634,000$ | 11,634,000$ | 11,634,000$ | ![]() | |||||
Blake Wheeler | RW | 36 | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA | |||||
Brandon Sutter ![]() | C/RW | 33 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Colin Blackwell | C/RW | 29 | 1,800,000$ | 1,800,000$ | UFA | ||||||
Danny DeKeyser ![]() | D | 32 | 1,150,000$ | 1,150,000$ | UFA | ||||||
Dougie Hamilton | D | 29 | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||||
Filip Forsberg | LW | 28 | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA | ||||
Filip Gustavsson ![]() | G | 24 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Gabriel Vilardi ![]() | C/RW | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Jon Merrill | D | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Josh Archibald | LW/RW | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Kirby Dach | C/RW | 22 | 2,000,000$ | 2,000,000$ | RFA | ||||||
MacKenzie Weegar | D | 29 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Marc-Andre Fleury ![]() | G | 38 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Morgan Rielly | D | 28 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ |
Pavel Francouz | G | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Ryan Reaves ![]() | RW | 36 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Sean Kuraly | C/LW | 30 | 1,800,000$ | 1,800,000$ | UFA | ||||||
Trevor van Riemsdyk ![]() | D | 31 | 950,000$ | 950,000$ | UFA | ||||||
Valeri Nichushkin | LW/RW | 27 | 4,200,000$ | 4,200,000$ | 4,200,000$ | 4,200,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Huska ![]() | G | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Angus Crookshank ![]() | LW | 23 | 838,333$ | 838,333$ | RFA | ||||||
Bobby McMann ![]() | C | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Bryce Kindopp ![]() | RW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Cameron Wright ![]() | LW/RW | 24 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Casey Fitzgerald ![]() | D | 25 | 875,000$ | 875,000$ | ![]() | ||||||
Christopher Gibson ![]() | G | 30 | 800,000$ | 800,000$ | UFA | ||||||
Christopher Wilkie ![]() | RW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Colton Poolman ![]() | D | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Dennis Yan ![]() | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Dominic Turgeon ![]() | C | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Dustin Tokarski ![]() ![]() | G | 33 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Dylan McIlrath ![]() | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
Gabriel Gagne ![]() | RW | 26 | 0$ | ![]() | |||||||
Garrett Wilson ![]() ![]() | LW/RW | 31 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Gavin Bayreuther ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Jackson Cates ![]() | C | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Jerad Rosburg ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Jon Lizotte ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Kyle Clifford ![]() | LW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Laurent Dauphin ![]() ![]() | LW/RW | 27 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Luke Stevens ![]() | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Mitchell Chaffee ![]() | RW | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Mitchell Vande Sompel ![]() | D | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Nelson Nogier ![]() | D | 26 | 0$ | ![]() | |||||||
Peter DiLiberatore ![]() | D | 22 | 880,833$ | 880,833$ | RFA | ||||||
Reese Johnson ![]() | RW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Riley Nash ![]() | C/LW/RW | 33 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Rodrigo Abols ![]() | C | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Ryan MacInnis ![]() | C/LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 2 | 1 | 4 | 1 | 62 | 22 | 20 | 16 | 4 | 60 | 20 | 22 | 44 | 4 | 1 | 25.00% | 10 | 2 | 80.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 48 | 33 | 47 | 14 | 27 | 13 | 77.8% | 12.9% | 93.3% | 106.2 | LUCKY | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 3 | 0 | 0 | 0 | 68 | 18 | 24 | 26 | 0 | 62 | 14 | 29 | 48 | 10 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 49 | 33 | 45 | 14 | 25 | 12 | 37.5% | 4.4% | 87.1% | 91.5 | Unlucky | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 37 | 10 | 12 | 15 | 0 | 65 | 21 | 14 | 31 | 1 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 39 | 25 | 55 | 13 | 24 | 11 | 54.5% | 16.2% | 90.8% | 107.0 | FUN | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 16 | 25 | 0 | 1 | 5 | 1 | 3 | 0 | 84 | 32 | 27 | 25 | 0 | 38 | 15 | 8 | 43 | 12 | 1 | 8.33% | 4 | 1 | 75.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 53 | 38 | 42 | 15 | 24 | 12 | 88.9% | 10.7% | 94.7% | 105.5 | LUCKY | |
5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 4 | 0.667 | 7 | 11 | 18 | 0 | 0 | 1 | 4 | 2 | 0 | 90 | 25 | 35 | 30 | 0 | 80 | 27 | 20 | 57 | 11 | 3 | 27.27% | 9 | 1 | 88.89% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 78 | 56 | 63 | 21 | 37 | 19 | 44.4% | 7.8% | 92.5% | 100.3 | DULL | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 63 | 13 | 26 | 24 | 0 | 45 | 3 | 16 | 32 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 50 | 35 | 43 | 14 | 26 | 13 | 72.7% | 14.3% | 88.9% | 103.2 | FUN | |
7 | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 14 | 22 | 0 | 0 | 3 | 4 | 1 | 0 | 109 | 33 | 40 | 35 | 1 | 76 | 25 | 24 | 46 | 9 | 3 | 33.33% | 11 | 3 | 72.73% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 79 | 58 | 65 | 20 | 36 | 18 | 50.0% | 7.3% | 89.5% | 96.8 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 24 | 9 | 9 | 6 | 0 | 21 | 8 | 4 | 26 | 4 | 1 | 25.00% | 2 | 2 | 0.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 26 | 18 | 20 | 6 | 12 | 6 | 50.0% | 12.5% | 81.0% | 93.5 | FUN | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 27 | 10 | 11 | 6 | 0 | 35 | 6 | 14 | 12 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 23 | 16 | 23 | 7 | 12 | 6 | 75.0% | 11.1% | 94.3% | 105.4 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 31 | 6 | 17 | 8 | 0 | 23 | 6 | 8 | 21 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 24 | 17 | 24 | 7 | 11 | 5 | 66.7% | 6.5% | 95.7% | 102.1 | DULL | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 12 | 15 | 4 | 0 | 25 | 13 | 6 | 16 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 28 | 20 | 18 | 6 | 12 | 6 | 0.0% | 3.2% | 80.0% | 83.2 | Unlucky | |
12 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 43 | 9 | 18 | 14 | 2 | 25 | 6 | 4 | 26 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 29 | 21 | 20 | 7 | 12 | 6 | 25.0% | 4.7% | 88.0% | 92.7 | Unlucky | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 2 | 1 | 4 | 0 | 61 | 18 | 19 | 24 | 0 | 60 | 25 | 12 | 41 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 49 | 36 | 47 | 12 | 23 | 11 | 42.9% | 11.5% | 85.0% | 96.5 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 38 | 16 | 12 | 10 | 0 | 25 | 8 | 4 | 19 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 24 | 17 | 22 | 7 | 12 | 7 | 57.1% | 13.2% | 88.0% | 101.2 | FUN | |
15 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 9 | -5 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 64 | 19 | 16 | 25 | 7 | 61 | 20 | 10 | 38 | 8 | 1 | 12.50% | 4 | 0 | 100.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 50 | 34 | 49 | 14 | 24 | 12 | 25.0% | 6.3% | 85.2% | 91.5 | Unlucky | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 46 | 16 | 15 | 15 | 0 | 64 | 11 | 20 | 39 | 9 | 1 | 11.11% | 9 | 1 | 88.89% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 48 | 33 | 44 | 15 | 27 | 14 | 37.5% | 8.7% | 90.6% | 99.3 | Unlucky | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 1 | 4 | 0 | 45 | 20 | 12 | 13 | 0 | 45 | 15 | 16 | 37 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 53 | 38 | 40 | 13 | 26 | 13 | 62.5% | 13.3% | 91.1% | 104.4 | Unlucky | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 4 | 2 | 4 | 0 | 63 | 22 | 20 | 21 | 0 | 73 | 17 | 14 | 31 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 43 | 29 | 51 | 15 | 25 | 12 | 72.7% | 15.9% | 94.5% | 110.4 | LUCKY | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 31 | 14 | 7 | 10 | 0 | 28 | 7 | 12 | 20 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 26 | 18 | 21 | 7 | 11 | 5 | 33.3% | 3.2% | 92.9% | 96.1 | DULL | |
20 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 10 | 16 | 0 | 0 | 2 | 3 | 1 | 0 | 59 | 16 | 23 | 15 | 5 | 68 | 15 | 12 | 48 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 48 | 33 | 47 | 14 | 26 | 14 | 33.3% | 10.2% | 86.8% | 96.9 | FUN | |
21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.667 | 7 | 12 | 19 | 0 | 1 | 5 | 0 | 2 | 0 | 97 | 31 | 33 | 33 | 0 | 88 | 28 | 24 | 66 | 14 | 1 | 7.14% | 10 | 2 | 80.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 73 | 51 | 69 | 21 | 37 | 20 | 54.5% | 7.2% | 92.0% | 99.3 | DULL | |
22 | 3 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 12 | 9 | 3 | 6 | 1.000 | 12 | 17 | 29 | 0 | 0 | 3 | 4 | 2 | 5 | 117 | 41 | 41 | 29 | 22 | 76 | 26 | 18 | 55 | 13 | 3 | 23.08% | 9 | 3 | 66.67% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 80 | 57 | 70 | 22 | 39 | 20 | 60.0% | 10.3% | 88.2% | 98.4 | FUN | |
23 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 0 | 1 | 39 | 14 | 16 | 8 | 1 | 27 | 7 | 6 | 18 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 26 | 19 | 22 | 6 | 12 | 6 | 40.0% | 10.3% | 88.9% | 99.1 | FUN | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 3 | 0 | 2 | 1 | 77 | 22 | 30 | 19 | 9 | 40 | 22 | 12 | 37 | 8 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 54 | 39 | 44 | 15 | 25 | 13 | 55.6% | 6.5% | 90.0% | 96.5 | Unlucky | |
25 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 9 | -3 | 1 | 0.250 | 6 | 10 | 16 | 0 | 0 | 3 | 1 | 2 | 0 | 70 | 19 | 29 | 20 | 5 | 65 | 21 | 20 | 39 | 5 | 2 | 40.00% | 9 | 2 | 77.78% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 47 | 31 | 50 | 14 | 27 | 13 | 36.4% | 8.6% | 86.2% | 94.7 | Unlucky | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 39 | 9 | 18 | 12 | 0 | 21 | 7 | 2 | 16 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 1 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 25 | 18 | 21 | 5 | 13 | 6 | 80.0% | 10.3% | 95.2% | 105.5 | LUCKY | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 45 | 14 | 16 | 15 | 0 | 32 | 5 | 9 | 15 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 29 | 21 | 18 | 6 | 11 | 6 | 20.0% | 2.2% | 87.5% | 89.7 | Unlucky | |
28 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 39 | 13 | 15 | 11 | 0 | 22 | 3 | 8 | 15 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 29 | 22 | 18 | 6 | 12 | 6 | 50.0% | 5.1% | 95.5% | 100.6 | DULL | |
29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 11 | 18 | 0 | 0 | 4 | 1 | 2 | 0 | 33 | 12 | 11 | 10 | 0 | 37 | 7 | 6 | 17 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 22 | 15 | 24 | 6 | 12 | 6 | 77.8% | 21.2% | 94.6% | 115.8 | LUCKY | |
_Vs Division | 15 | 6 | 4 | 0 | 1 | 2 | 2 | 0 | 42 | 39 | 3 | 20 | 0.667 | 42 | 71 | 113 | 1 | 0 | 14 | 17 | 8 | 5 | 491 | 142 | 187 | 155 | 23 | 403 | 126 | 115 | 274 | 52 | 9 | 17.31% | 48 | 11 | 77.08% | 1 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 377 | 267 | 347 | 107 | 186 | 95 | 54.1% | 8.6% | 90.3% | 98.9 | Unlucky | |
_Vs Conference | 28 | 14 | 8 | 0 | 1 | 2 | 2 | 1 | 86 | 72 | 14 | 37 | 0.661 | 86 | 144 | 230 | 1 | 2 | 34 | 25 | 24 | 5 | 925 | 295 | 335 | 286 | 28 | 776 | 236 | 215 | 530 | 102 | 17 | 16.67% | 94 | 20 | 78.72% | 1 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 696 | 488 | 648 | 201 | 351 | 178 | 57.0% | 9.3% | 90.7% | 100.0 | FUN | |
_Since Last GM Reset | 50 | 23 | 15 | 0 | 3 | 4 | 2 | 3 | 152 | 140 | 12 | 63 | 0.630 | 152 | 261 | 413 | 1 | 2 | 56 | 39 | 52 | 8 | 1632 | 515 | 587 | 499 | 56 | 1387 | 408 | 374 | 953 | 183 | 30 | 16.39% | 164 | 29 | 82.32% | 1 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 1265 | 895 | 1137 | 356 | 634 | 323 | 52.4% | 9.3% | 89.9% | 99.2 | FUN | |
Total | 50 | 23 | 15 | 0 | 3 | 4 | 2 | 3 | 152 | 140 | 12 | 63 | 0.630 | 152 | 261 | 413 | 1 | 2 | 56 | 39 | 52 | 8 | 1632 | 515 | 587 | 499 | 56 | 1387 | 408 | 374 | 953 | 183 | 30 | 16.39% | 164 | 29 | 82.32% | 1 | 984 | 1797 | 54.76% | 863 | 1628 | 53.01% | 424 | 770 | 55.06% | 1265 | 895 | 1137 | 356 | 634 | 323 | 52.4% | 9.3% | 89.9% | 99.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1797 |
Neutral Zone Start | 770 |
Defensive Zone Start | 1628 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2271 |
Faceoffs Lost | 1924 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 120 |
---|---|
PP Goal | 30 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 16 | 12 |
Lost | 7 | 8 |
Overtime Lost | 1 | 6 |
PP Attempt | 183 |
---|---|
PP Goal | 30 |
PK Attempt | 164 |
PK Goal Against | 29 |
Home | |
---|---|
Shots For | 32.6 |
Shots Against | 27.7 |
Goals For | 3.0 |
Goals Against | 2.8 |
Hits | 19.1 |
Shots Blocked | 8.2 |
Pim | 7.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-13 | @ | Panthers3,Islanders4 | RECAP | |||||||||||
2022-10-15 | @ | Ducks3,Islanders4 (OT) | RECAP | |||||||||||
2022-10-18 | @ | Sharks4,Islanders1 | RECAP | |||||||||||
2022-10-20 | @ | Devils2,Islanders3 | RECAP | |||||||||||
2022-10-22 | @ | Islanders5,Lightning3 | RECAP | |||||||||||
2022-10-23 | @ | Islanders1,Panthers0 | RECAP | |||||||||||
2022-10-26 | @ | Rangers2,Islanders4 | RECAP | |||||||||||
2022-10-28 | @ | Islanders2,Hurricanes1 | RECAP | |||||||||||
2022-10-29 | @ | Avalanche3,Islanders4 | RECAP | |||||||||||
2022-11-01 | @ | Islanders4,Blackhawks5 (OT) | RECAP | |||||||||||
2022-11-03 | @ | Islanders2,Blues5 | RECAP | |||||||||||
2022-11-05 | @ | Islanders3,Red Wings4 | RECAP | |||||||||||
2022-11-07 | @ | Flames1,Islanders4 | RECAP | |||||||||||
2022-11-08 | @ | Islanders1,Rangers2 (OT) | RECAP | |||||||||||
2022-11-10 | @ | Coyotes2,Islanders3 | RECAP | |||||||||||
2022-11-12 | @ | Blue Jackets4,Islanders5 (OT) | RECAP | |||||||||||
2022-11-14 | @ | Islanders5,Senators0 | RECAP | |||||||||||
2022-11-17 | @ | Islanders3,Predators4 | RECAP | |||||||||||
2022-11-19 | @ | Islanders1,Stars2 (SO) | RECAP | |||||||||||
2022-11-21 | @ | Islanders3,Maple Leafs5 | RECAP | |||||||||||
2022-11-23 | @ | Oilers3,Islanders2 (SO) | RECAP | |||||||||||
2022-11-25 | @ | Islanders2,Blue Jackets1 (SO) | RECAP | |||||||||||
2022-11-26 | @ | Flyers3,Islanders1 | RECAP | |||||||||||
2022-11-29 | @ | Islanders2,Flyers5 | RECAP | |||||||||||
2022-12-02 | @ | Predators5,Islanders4 | RECAP | |||||||||||
2022-12-04 | @ | Blackhawks4,Islanders2 | RECAP | |||||||||||
2022-12-06 | @ | Blues1,Islanders2 | RECAP | |||||||||||
2022-12-09 | @ | Islanders3,Devils4 | RECAP | |||||||||||
2022-12-10 | @ | Hurricanes4,Islanders1 | RECAP | |||||||||||
2022-12-13 | @ | Islanders7,Bruins2 | RECAP | |||||||||||
2022-12-16 | @ | Islanders3,Coyotes2 | RECAP | |||||||||||
2022-12-17 | @ | Islanders2,Golden Knights1 | RECAP | |||||||||||
2022-12-19 | @ | Islanders5,Avalanche2 | RECAP | |||||||||||
2022-12-22 | @ | Islanders3,Rangers4 (OT) | RECAP | |||||||||||
2022-12-23 | @ | Panthers4,Islanders2 | RECAP | |||||||||||
2022-12-27 | @ | Penguins1,Islanders4 | RECAP | |||||||||||
2022-12-29 | @ | Blue Jackets4,Islanders5 (SO) | RECAP | |||||||||||
2023-01-01 | @ | Islanders7,Kraken2 | RECAP | |||||||||||
2023-01-03 | @ | Islanders2,Canucks3 (OT) | RECAP | |||||||||||
2023-01-05 | @ | Islanders2,Oilers6 | RECAP | |||||||||||
2023-01-06 | @ | Islanders4,Flames3 (OT) | RECAP | |||||||||||
2023-01-10 | @ | Stars2,Islanders4 | RECAP | |||||||||||
2023-01-12 | @ | Wild5,Islanders1 | RECAP | |||||||||||
2023-01-14 | @ | Canadiens2,Islanders3 | RECAP | |||||||||||
2023-01-16 | @ | Capitals1,Islanders2 | RECAP | |||||||||||
2023-01-18 | @ | Bruins2,Islanders3 | RECAP | |||||||||||
2023-01-19 | @ | Islanders1,Sabres2 | RECAP | |||||||||||
2023-01-21 | @ | Hurricanes1,Islanders4 | RECAP | |||||||||||
2023-01-23 | @ | Islanders3,Maple Leafs4 (SO) | RECAP | |||||||||||
2023-01-25 | @ | Islanders4,Senators2 | RECAP | |||||||||||
2023-01-27 | @ | |||||||||||||
2023-01-28 | @ | |||||||||||||
2023-02-06 | @ | |||||||||||||
2023-02-07 | @ | |||||||||||||
2023-02-09 | @ | |||||||||||||
2023-02-11 | @ | |||||||||||||
2023-02-14 | @ | |||||||||||||
2023-02-17 | @ | |||||||||||||
2023-02-18 | @ | |||||||||||||
2023-02-20 | @ | |||||||||||||
2023-02-22 | @ | |||||||||||||
2023-02-24 | @ | |||||||||||||
2023-02-26 | @ | |||||||||||||
2023-02-28 | @ | |||||||||||||
2023-03-04 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-07 | @ | |||||||||||||
2023-03-09 | @ | |||||||||||||
2023-03-11 | @ | |||||||||||||
2023-03-14 | @ | |||||||||||||
2023-03-15 | @ | |||||||||||||
2023-03-18 | @ | |||||||||||||
2023-03-21 | @ | |||||||||||||
2023-03-24 | @ | |||||||||||||
2023-03-25 | @ | |||||||||||||
2023-03-27 | @ | |||||||||||||
2023-03-29 | @ | |||||||||||||
2023-04-01 | @ | |||||||||||||
2023-04-02 | @ | |||||||||||||
2023-04-06 | @ | |||||||||||||
2023-04-08 | @ | |||||||||||||
2023-04-10 | @ | |||||||||||||
2023-04-12 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,784,000$ | 0$ | 80,008,134$ | -284,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Barclays Center | |
City | New York | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 136922 | 112505 | 45407 | 91751 | 22676 |
Attendance PCT | 95.08% | 93.75% | 94.60% | 95.57% | 94.48% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 17053 - 94.74% | 1,503,163$ | 36,075,901$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,784,000$ | 82,784,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
48,546,977$ | 411,556$ | 47,906,766$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
25,553,763$ | 78 | 443,302$ | 34,577,556$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
35,549,688$ | 82,784,000$ | 49,993,812$ | 39,997,887$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 |
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 |
---|---|---|---|---|---|
Albin Sundsvik | |||||
Benjamin Baumgartner | |||||
Connor Kelley | 2021 | 221 | |||
Kevin Wall | 2019 | 198 | |||
Mason Beaupit | 2022 | 89 | |||
Owen Lindmark | 2019 | 157 | 5.0 - 4.0 | ||
Quinn Schmiemann | 2019 | 199 | 4.0 - 3.5 | ||
Robby Fosdick | |||||
Seamus Casey | 2022 | 35 | |||
Sena Acolatse | |||||
Spencer Abbott |
|