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Full Scoreboard »» |
New York Islanders 15-29-4, 34pts · 16th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 99.00 | 89 | 42 | 60 | 69 | 83 | 85 | 83 | 70 | 60 | 67 | 77 | 60 | 73 | 81 | 77 | 0 | 25 | 81 | 33 | 7,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 41 | 71 | 64 | 65 | 84 | 90 | 67 | 83 | 70 | 65 | 82 | 66 | 80 | 87 | 0 | 21 | 80 | 33 | 5,166,666$/1yrs | |||
![]() | 0 | LW | 99.00 | 64 | 32 | 88 | 67 | 70 | 84 | 86 | 68 | 75 | 67 | 72 | 61 | 70 | 79 | 90 | 0 | 25 | 79 | 32 | 6,000,000$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 66 | 42 | 86 | 68 | 95 | 79 | 87 | 67 | 59 | 66 | 71 | 58 | 69 | 75 | 74 | 0 | 25 | 78 | 30 | 3,500,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 32 | 88 | 67 | 68 | 82 | 84 | 67 | 74 | 67 | 70 | 62 | 69 | 83 | 81 | 0 | 17 | 78 | 34 | 3,333,000$/3yrs | |||
![]() | 0 | C/RW | 98.00 | 59 | 34 | 90 | 71 | 71 | 84 | 90 | 68 | 73 | 66 | 74 | 66 | 71 | 63 | 62 | 0 | 30 | 78 | 23 | 3,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 38 | 80 | 63 | 63 | 74 | 90 | 66 | 72 | 63 | 70 | 70 | 66 | 76 | 74 | 0 | 30 | 76 | 32 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 32 | 97 | 66 | 70 | 77 | 85 | 66 | 56 | 61 | 73 | 54 | 69 | 74 | 73 | 0 | 25 | 76 | 29 | 4,675,000$/2yrs | |||
![]() | 73 | LW/RW | 100.00 | 85 | 39 | 88 | 57 | 83 | 75 | 78 | 59 | 60 | 60 | 61 | 72 | 60 | 74 | 73 | 0 | 26 | 74 | 29 | 1,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 70 | 33 | 92 | 55 | 76 | 78 | 89 | 61 | 59 | 64 | 61 | 66 | 61 | 80 | 79 | 0 | 17 | 73 | 33 | 1,800,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 35 | 91 | 55 | 80 | 76 | 87 | 60 | 74 | 58 | 63 | 69 | 62 | 76 | 84 | 0 | 28 | 73 | 31 | 1,255,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 58 | 33 | 99 | 64 | 81 | 81 | 90 | 62 | 87 | 62 | 65 | 58 | 63 | 65 | 65 | 0 | 25 | 73 | 24 | 2,900,000$/2yrs | |||
![]() | 0 | D | 98.00 | 65 | 33 | 96 | 70 | 79 | 97 | 90 | 67 | 30 | 74 | 54 | 84 | 60 | 62 | 62 | 0 | 25 | 82 | 22 | 4,100,000$/3yrs | |||
![]() | 0 | D | 99.00 | 73 | 35 | 83 | 62 | 87 | 91 | 89 | 65 | 30 | 71 | 64 | 74 | 65 | 83 | 93 | 0 | 25 | 81 | 34 | 6,100,000$/1yrs | |||
![]() | 44 | D | 99.00 | 72 | 46 | 70 | 57 | 91 | 90 | 88 | 65 | 30 | 64 | 57 | 82 | 61 | 80 | 77 | 0 | 23 | 78 | 33 | 4,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 81 | 47 | 70 | 55 | 86 | 88 | 85 | 60 | 30 | 58 | 59 | 82 | 59 | 78 | 85 | 0 | 22 | 76 | 31 | 4,400,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 35 | 82 | 55 | 80 | 86 | 83 | 59 | 30 | 62 | 53 | 73 | 56 | 80 | 78 | 0 | 20 | 75 | 33 | 2,700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 34 | 57 | 60 | 86 | 86 | 70 | 59 | 30 | 66 | 61 | 63 | 60 | 69 | 65 | 0 | 21 | 75 | 27 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 62 | 32 | 90 | 65 | 73 | 84 | 83 | 66 | 59 | 71 | 66 | 54 | 66 | 75 | 74 | 0 | 19 | 77 | 30 | 2,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 32 | 87 | 64 | 74 | 80 | 86 | 64 | 60 | 66 | 67 | 58 | 65 | 83 | 82 | 0 | 20 | 76 | 35 | 2,000,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 88 | 33 | 95 | 55 | 79 | 74 | 70 | 61 | 55 | 58 | 63 | 60 | 62 | 69 | 68 | 0 | 19 | 72 | 27 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 33 | 82 | 63 | 78 | 90 | 78 | 60 | 30 | 70 | 64 | 59 | 62 | 79 | 77 | 0 | 20 | 78 | 32 | 6,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 32 | 94 | 62 | 66 | 88 | 69 | 58 | 30 | 67 | 59 | 61 | 59 | 59 | 59 | 0 | 25 | 74 | 21 | 844,167$/2yrs | |||
TEAM AVERAGE | 99.61 | 70 | 36 | 84 | 62 | 78 | 83 | 84 | 64 | 54 | 65 | 65 | 66 | 64 | 75 | 76 | 0 | 23 | 77 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 75 | 71 | 70 | 87 | 80 | 74 | 77 | 76 | 77 | 77 | 77 | 77 | 79 | 0 | 23 | 81 | 31 | 3,000,000$/4yrs |
![]() | 30 | 97.00 | 71 | 85 | 65 | 86 | 69 | 81 | 71 | 70 | 81 | 68 | 71 | 76 | 79 | 0 | 23 | 79 | 31 | 800,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 73 | 78 | 68 | 87 | 75 | 78 | 74 | 73 | 79 | 73 | 74 | 77 | 79 | 0 | 23 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Hynes | 78 | 79 | 87 | 79 | 73 | 66 | 78 | USA | 48 | 5 | 1,000,000$ |
General Manager | Andrew Shaughnessy |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jaden Schwartz | 0 | LW | 48 | 14 | 21 | 35 | -9 | 10 | 0 | 30 | 130 | 40 | 78 | 10.77% | 4 | 20.13 | 1 | 5 | 6 | 156 | 0 | 0 | 0 | 101 | 2 | 2 | 46.25% | 80 | 0 | 0 | 0 | 0 | 0.72 | 0 | 1 | |
2 | Mattias Ekholm | 0 | D | 48 | 3 | 31 | 34 | -2 | 60 | 0 | 94 | 83 | 27 | 48 | 3.61% | 72 | 23.85 | 0 | 4 | 4 | 176 | 0 | 1 | 1 | 168 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
3 | Jake Sanderson | 0 | D | 48 | 7 | 23 | 30 | -22 | 24 | 0 | 40 | 101 | 39 | 66 | 6.93% | 73 | 25.40 | 3 | 5 | 8 | 174 | 0 | 1 | 1 | 186 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
4 | Erik Gudbranson | 44 | D | 48 | 8 | 19 | 27 | -30 | 86 | 20 | 114 | 79 | 26 | 43 | 10.13% | 97 | 22.52 | 4 | 5 | 9 | 145 | 0 | 0 | 0 | 148 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
5 | Evander Kane | 0 | LW/RW | 48 | 13 | 14 | 27 | -15 | 59 | 5 | 193 | 149 | 31 | 102 | 8.72% | 4 | 21.18 | 1 | 4 | 5 | 159 | 0 | 0 | 0 | 126 | 1 | 1 | 34.09% | 88 | 0 | 0 | 0 | 1 | 0.53 | 0 | 3 | |
6 | Yanni Gourde | 0 | C/LW | 45 | 4 | 23 | 27 | -3 | 22 | 0 | 111 | 126 | 36 | 94 | 3.17% | 15 | 18.24 | 0 | 4 | 4 | 103 | 0 | 1 | 1 | 79 | 0 | 1 | 50.13% | 770 | 0 | 0 | 1 | 0 | 0.66 | 0 | 0 | |
7 | Rocco Grimaldi | 0 | LW/RW | 47 | 14 | 12 | 26 | 15 | 8 | 0 | 44 | 102 | 19 | 74 | 13.73% | 11 | 14.73 | 3 | 4 | 7 | 150 | 0 | 0 | 0 | 79 | 3 | 1 | 45.82% | 299 | 0 | 0 | 0 | 1 | 0.75 | 1 | 2 | |
8 | Connor Murphy | 0 | D | 48 | 6 | 19 | 25 | -8 | 87 | 5 | 117 | 76 | 22 | 42 | 7.89% | 62 | 18.01 | 3 | 6 | 9 | 139 | 0 | 0 | 0 | 62 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
9 | Anthony Mantha | 0 | LW/RW | 48 | 11 | 12 | 23 | -12 | 10 | 0 | 65 | 115 | 30 | 75 | 9.57% | 3 | 18.42 | 2 | 4 | 6 | 153 | 0 | 0 | 0 | 106 | 3 | 0 | 44.74% | 190 | 0 | 0 | 0 | 0 | 0.52 | 0 | 1 | |
10 | Barrett Hayton | 0 | C/LW | 48 | 7 | 16 | 23 | -16 | 2 | 0 | 22 | 95 | 34 | 85 | 7.37% | 8 | 18.00 | 3 | 2 | 5 | 156 | 0 | 0 | 0 | 1 | 0 | 0 | 54.62% | 1137 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
11 | Dawson Mercer | 0 | C/RW | 47 | 10 | 8 | 18 | -11 | 2 | 0 | 11 | 117 | 30 | 81 | 8.55% | 9 | 17.95 | 4 | 1 | 5 | 147 | 0 | 0 | 0 | 84 | 0 | 0 | 46.68% | 617 | 0 | 0 | 0 | 0 | 0.43 | 0 | 2 | |
12 | Tyler Johnson | 0 | C/LW/RW | 35 | 4 | 10 | 14 | 9 | 16 | 0 | 25 | 40 | 7 | 32 | 10.00% | 4 | 9.83 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 10 | 0 | 0 | 44.51% | 364 | 0 | 0 | 1 | 0 | 0.81 | 0 | 0 | |
13 | Zemgus Girgensons | 0 | C/LW/RW | 44 | 6 | 5 | 11 | -2 | 4 | 0 | 18 | 40 | 8 | 24 | 15.00% | 2 | 7.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 16 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
14 | Olen Zellweger | 0 | D | 42 | 0 | 10 | 10 | -3 | 8 | 0 | 15 | 18 | 3 | 10 | 0.00% | 51 | 16.85 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 157 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
15 | Victor Olofsson | 0 | LW/RW | 48 | 7 | 2 | 9 | 8 | 4 | 0 | 3 | 57 | 10 | 23 | 12.28% | 1 | 8.46 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 48.28% | 29 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
16 | Marcus Bjork | 0 | D | 38 | 1 | 7 | 8 | 1 | 44 | 0 | 72 | 21 | 6 | 9 | 4.76% | 40 | 13.96 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
17 | Justin Holl | 0 | D | 13 | 1 | 4 | 5 | 3 | 2 | 0 | 12 | 12 | 5 | 3 | 8.33% | 14 | 14.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
18 | Adam Erne | 73 | LW/RW | 48 | 2 | 2 | 4 | -8 | 23 | 5 | 65 | 45 | 16 | 36 | 4.44% | 7 | 9.04 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 46 | 0 | 0 | 33.33% | 27 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
19 | Mitchell Chaffee | 0 | RW | 19 | 1 | 2 | 3 | -4 | 4 | 0 | 19 | 23 | 4 | 15 | 4.35% | 3 | 11.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 16 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
20 | Jesper Fast | 0 | RW | 40 | 0 | 2 | 2 | -2 | 0 | 0 | 10 | 18 | 3 | 14 | 0.00% | 4 | 7.63 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 17 | 0 | 0 | 43.88% | 98 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
21 | Alexander Barabanov | 0 | LW/RW | 5 | 0 | 2 | 2 | -3 | 0 | 0 | 0 | 12 | 3 | 12 | 0.00% | 0 | 14.50 | 0 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
22 | John Klingberg | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.00% | 0 | 20.72 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
23 | Mike Hoffman | 0 | LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 2 | 0.00% | 1 | 15.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 857 | 119 | 244 | 363 | -115 | 475 | 35 | 1080 | 1461 | 400 | 969 | 8.15% | 485 | 16.29 | 24 | 46 | 70 | 1699 | 0 | 3 | 3 | 1398 | 14 | 6 | 48.98% | 3738 | 0 | 0 | 2 | 2 | 0.52 | 1 | 9 |
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 | Laurent Brossoit | 30 | 10 | 15 | 3 | 0.899 | 3.34 | 1709 | 6 | 1 | 95 | 943 | 0 | 1 | 1 | 0.750 | 8 | 29 | 14 | 2 | 0 | 1 | |
2 | Malcolm Subban | 10 | 0 | 8 | 1 | 0.863 | 4.53 | 517 | 0 | 0 | 39 | 285 | 0 | 1 | 2 | 0.667 | 3 | 9 | 14 | 0 | 0 | 0 | |
Team Total or Average | 40 | 10 | 23 | 4 | 0.891 | 3.61 | 2226 | 6 | 1 | 134 | 1228 | 0 | 2 | 3 | 0.727 | 11 | 38 | 28 | 2 | 0 | 1 |
Projected Total Cap Hit | 67,669,007$ |
Projected Cap Space | 20,330,993$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 38,999,219$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Islanders Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne ![]() | LW/RW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Alexander Barabanov ![]() | LW/RW | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Anthony Mantha ![]() | LW/RW | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Barrett Hayton ![]() | C/LW | 24 | 2,900,000$ | 2,900,000$ | 2,900,000$ | ||||||
Connor Murphy ![]() | D | 31 | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | |||||
Dawson Mercer ![]() | C/RW | 23 | 3,500,000$ | 3,500,000$ | 3,500,000$ | RFA | |||||
Erik Gudbranson ![]() | D | 33 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Evander Kane ![]() | LW/RW | 33 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Jaden Schwartz ![]() | LW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Jake Sanderson ![]() | D | 22 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | RFA | ||||
Jesper Fast ![]() | RW | 33 | 1,800,000$ | 1,800,000$ | UFA | ||||||
John Klingberg ![]() | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Justin Holl ![]() | D | 33 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
Laurent Brossoit | G | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Malcolm Subban ![]() | G | 31 | 800,000$ | 800,000$ | UFA | ||||||
Marcus Bjork ![]() | D | 27 | 1,000,000$ | 1,000,000$ | |||||||
Mattias Ekholm ![]() | D | 34 | 6,100,000$ | 6,100,000$ | UFA | ||||||
Mike Hoffman ![]() | LW/RW | 35 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Mitchell Chaffee ![]() | RW | 27 | 800,000$ | 800,000$ | |||||||
Olen Zellweger ![]() | D | 21 | 844,167$ | 844,167$ | 844,167$ | RFA | |||||
Rocco Grimaldi ![]() | LW/RW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Tyler Johnson ![]() | C/LW/RW | 34 | 3,333,000$ | 3,333,000$ | 3,333,000$ | 3,333,000$ | UFA | ||||
Victor Olofsson ![]() | LW/RW | 29 | 4,675,000$ | 4,675,000$ | 4,675,000$ | UFA | |||||
Yanni Gourde ![]() | C/LW | 33 | 5,166,666$ | 5,166,666$ | UFA | ||||||
Zemgus Girgensons ![]() | C/LW/RW | 31 | 1,255,000$ | 1,255,000$ | 1,255,000$ | 1,255,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Angus Crookshank ![]() | LW | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Axel Jonsson-Fjallby ![]() | LW | 26 | 1,100,000$ | 1,100,000$ | ![]() | ||||||
Bryce Kindopp ![]() | RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Cameron Wright ![]() | LW/RW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Casey Fitzgerald ![]() | D | 27 | 900,000$ | 900,000$ | UFA | ||||||
Colton Poolman ![]() | D | 29 | 800,000$ | 800,000$ | UFA | ||||||
Dennis Yan ![]() | LW | 27 | 0$ | UFA | |||||||
Dustin Tokarski ![]() | G | 35 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Griffin Mendel ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Isaac Poulter ![]() | G | 23 | 950,000$ | 950,000$ | RFA | ||||||
Jackson Cates ![]() | C | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Kaleb Lawrence ![]() | RW | 22 | 852,500$ | 852,500$ | 852,500$ | 852,500$ | RFA | ||||
Kevin Wall ![]() | RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Lassi Thomson ![]() | D | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Lleyton Moore ![]() | D | 22 | 775,000$ | 775,000$ | RFA | ||||||
Luke Stevens ![]() | LW | 27 | 0$ | UFA | |||||||
Marc Johnstone ![]() | RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Matt Tomkins ![]() | G | 30 | 775,000$ | 775,000$ | UFA | ||||||
Matthew Peca ![]() | C/LW/RW | 31 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Michael Callahan ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Mitchell Vande Sompel ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Peter Diliberatore ![]() | D | 24 | 900,000$ | 900,000$ | ![]() | ||||||
Quinn Schmiemann ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Radim Zohorna ![]() | LW/RW | 28 | 850,000$ | 850,000$ | UFA | ||||||
Raivis Ansons ![]() | C | 27 | 844,167$ | 844,167$ | ![]() | ||||||
Rasmus Kupari ![]() | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Reese Johnson ![]() | RW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Samuel Bitten ![]() | C | 24 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Samuel Honzek ![]() | LW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Scott Harrington ![]() | D | 31 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Strauss Mann ![]() | G | 26 | 775,000$ | 775,000$ | ![]() |
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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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 25 | 4 | 11 | 10 | 0 | 57 | 13 | 14 | 23 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 16 | 10 | 30 | 8 | 12 | 5 | 25.0% | 4.0% | 91.2% | 95.2 | DULL | |
2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 9 | -3 | 1 | 0.250 | 6 | 11 | 17 | 1 | 0 | 2 | 3 | 1 | 1 | 56 | 32 | 14 | 8 | 7 | 73 | 28 | 19 | 47 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 43 | 29 | 56 | 16 | 25 | 11 | 38.5% | 10.7% | 87.7% | 98.4 | FUN | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 58 | 27 | 17 | 14 | 0 | 63 | 23 | 24 | 51 | 7 | 1 | 14.29% | 12 | 5 | 58.33% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 42 | 28 | 52 | 14 | 24 | 11 | 80.0% | 8.6% | 90.5% | 99.1 | Unlucky | |
4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 9 | 5 | 4 | 0.667 | 14 | 28 | 42 | 0 | 0 | 5 | 2 | 7 | 0 | 109 | 34 | 38 | 37 | 0 | 90 | 26 | 26 | 62 | 16 | 2 | 12.50% | 13 | 4 | 69.23% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 85 | 62 | 58 | 20 | 36 | 19 | 70.6% | 12.8% | 90.0% | 102.8 | FUN | |
5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 10 | -3 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 5 | 1 | 1 | 0 | 97 | 35 | 35 | 27 | 3 | 104 | 38 | 28 | 60 | 11 | 1 | 9.09% | 12 | 2 | 83.33% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 74 | 51 | 71 | 22 | 38 | 18 | 42.9% | 7.2% | 90.4% | 97.6 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 0 | 4 | 0 | 51 | 14 | 14 | 23 | 0 | 34 | 10 | 4 | 24 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 25 | 17 | 22 | 7 | 12 | 6 | 57.1% | 11.8% | 91.2% | 102.9 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 24 | 8 | 6 | 10 | 0 | 49 | 9 | 23 | 26 | 2 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 19 | 12 | 28 | 7 | 12 | 5 | 50.0% | 16.7% | 87.8% | 104.4 | FUN | |
8 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 12 | 19 | 1 | 0 | 0 | 2 | 4 | 1 | 88 | 29 | 24 | 34 | 3 | 97 | 25 | 29 | 62 | 16 | 1 | 6.25% | 12 | 3 | 75.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 66 | 45 | 80 | 23 | 37 | 18 | 46.2% | 8.0% | 89.7% | 97.6 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 67 | 20 | 23 | 24 | 0 | 49 | 12 | 33 | 44 | 9 | 1 | 11.11% | 9 | 0 | 100.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 44 | 29 | 50 | 14 | 24 | 12 | 50.0% | 7.5% | 91.8% | 99.3 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 26 | 7 | 5 | 14 | 0 | 38 | 7 | 6 | 29 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 22 | 16 | 26 | 6 | 10 | 5 | 33.3% | 11.5% | 86.8% | 98.4 | FUN | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 43 | 14 | 17 | 12 | 0 | 21 | 4 | 6 | 28 | 7 | 2 | 28.57% | 2 | 1 | 50.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 26 | 17 | 20 | 7 | 13 | 7 | 75.0% | 11.6% | 90.5% | 102.1 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 22 | 4 | 9 | 9 | 0 | 36 | 13 | 10 | 15 | 7 | 1 | 14.29% | 5 | 3 | 40.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 21 | 13 | 25 | 7 | 12 | 6 | 0.0% | 4.5% | 86.1% | 90.7 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 16 | 5 | 4 | 0 | 36 | 15 | 12 | 23 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 20 | 13 | 26 | 7 | 12 | 5 | 0.0% | 0.0% | 94.4% | 94.4 | DULL | |
14 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 2 | 5 | 0 | 1 | 56 | 13 | 22 | 19 | 2 | 88 | 24 | 24 | 29 | 4 | 2 | 50.00% | 12 | 1 | 91.67% | 1 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 43 | 29 | 53 | 12 | 24 | 11 | 54.5% | 14.3% | 93.2% | 107.5 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 61 | 29 | 18 | 14 | 0 | 87 | 18 | 31 | 53 | 5 | 1 | 20.00% | 12 | 2 | 83.33% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 42 | 27 | 51 | 15 | 26 | 12 | 50.0% | 8.2% | 93.1% | 101.3 | DULL | |
16 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 2 | 1 | 57 | 19 | 18 | 19 | 1 | 74 | 17 | 28 | 44 | 2 | 0 | 0.00% | 14 | 2 | 85.71% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 46 | 30 | 48 | 14 | 26 | 13 | 54.5% | 10.5% | 90.5% | 101.1 | FUN | |
17 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 5 | 13 | -8 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 3 | 1 | 85 | 23 | 29 | 30 | 3 | 120 | 43 | 25 | 69 | 15 | 1 | 6.67% | 10 | 1 | 90.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 69 | 45 | 74 | 23 | 39 | 18 | 25.0% | 5.9% | 89.2% | 95.0 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 73 | 30 | 26 | 17 | 0 | 76 | 30 | 22 | 34 | 6 | 1 | 16.67% | 11 | 4 | 63.64% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 43 | 28 | 50 | 14 | 26 | 13 | 50.0% | 6.8% | 89.5% | 96.3 | Unlucky | |
19 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 27 | 8 | 9 | 10 | 0 | 31 | 11 | 10 | 25 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 22 | 14 | 25 | 8 | 13 | 6 | 33.3% | 7.4% | 90.3% | 97.7 | Unlucky | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 71 | 26 | 19 | 26 | 0 | 70 | 17 | 14 | 36 | 9 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 47 | 33 | 47 | 15 | 24 | 11 | 23.1% | 4.2% | 85.7% | 89.9 | Unlucky | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 28 | 10 | 14 | 4 | 0 | 32 | 5 | 10 | 25 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 22 | 15 | 26 | 7 | 10 | 5 | 33.3% | 7.1% | 90.6% | 97.8 | Unlucky | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 27 | 4 | 8 | 15 | 0 | 39 | 16 | 10 | 21 | 1 | 1 | 100.00% | 4 | 0 | 100.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 19 | 11 | 27 | 8 | 13 | 6 | 60.0% | 14.8% | 94.9% | 109.7 | LUCKY | |
23 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 13 | -5 | 1 | 0.167 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 3 | 0 | 76 | 20 | 23 | 30 | 3 | 114 | 18 | 25 | 59 | 12 | 2 | 16.67% | 10 | 2 | 80.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 61 | 40 | 86 | 22 | 36 | 16 | 35.3% | 10.5% | 88.6% | 99.1 | FUN | |
24 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 2 | 0.333 | 5 | 10 | 15 | 0 | 1 | 2 | 2 | 1 | 0 | 89 | 30 | 23 | 36 | 0 | 88 | 35 | 24 | 58 | 13 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 74 | 50 | 67 | 21 | 38 | 19 | 38.5% | 5.6% | 87.5% | 93.1 | Unlucky | |
25 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 37 | 10 | 12 | 15 | 0 | 29 | 4 | 14 | 28 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 24 | 16 | 24 | 6 | 11 | 5 | 40.0% | 5.4% | 82.8% | 88.2 | Unlucky | |
26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 10 | 5 | 8 | 0 | 31 | 12 | 14 | 22 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 23 | 16 | 25 | 6 | 11 | 5 | 0.0% | 0.0% | 90.3% | 90.3 | Unlucky | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 9 | 15 | 1 | 0 | 2 | 2 | 2 | 0 | 52 | 15 | 14 | 23 | 0 | 56 | 18 | 26 | 39 | 3 | 1 | 33.33% | 11 | 1 | 90.91% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 44 | 29 | 49 | 13 | 26 | 12 | 38.5% | 11.5% | 83.9% | 95.5 | FUN | |
_Vs Division | 14 | 3 | 9 | 0 | 0 | 0 | 0 | 2 | 33 | 57 | -24 | 8 | 0.286 | 33 | 61 | 94 | 2 | 1 | 15 | 10 | 8 | 1 | 421 | 165 | 119 | 135 | 10 | 485 | 157 | 138 | 307 | 50 | 4 | 8.00% | 57 | 14 | 75.44% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 324 | 223 | 350 | 104 | 175 | 85 | 40.3% | 7.8% | 88.2% | 96.1 | Unlucky | |
_Vs Conference | 31 | 6 | 18 | 0 | 2 | 2 | 1 | 2 | 80 | 116 | -36 | 22 | 0.355 | 80 | 149 | 229 | 3 | 1 | 24 | 23 | 30 | 4 | 930 | 318 | 283 | 319 | 20 | 1060 | 309 | 314 | 672 | 124 | 12 | 9.68% | 130 | 27 | 79.23% | 0 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 720 | 491 | 774 | 231 | 390 | 192 | 43.3% | 8.6% | 89.1% | 97.7 | Unlucky | |
_Since Last GM Reset | 48 | 11 | 29 | 0 | 3 | 2 | 1 | 2 | 125 | 175 | -50 | 34 | 0.354 | 125 | 231 | 356 | 4 | 1 | 39 | 39 | 43 | 5 | 1453 | 491 | 458 | 492 | 22 | 1682 | 491 | 511 | 1036 | 181 | 24 | 13.26% | 218 | 45 | 79.36% | 1 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 1092 | 738 | 1209 | 357 | 605 | 296 | 43.7% | 8.6% | 89.6% | 98.2 | Unlucky | |
Total | 48 | 11 | 29 | 0 | 3 | 2 | 1 | 2 | 125 | 175 | -50 | 34 | 0.354 | 125 | 231 | 356 | 4 | 1 | 39 | 39 | 43 | 5 | 1453 | 491 | 458 | 492 | 22 | 1682 | 491 | 511 | 1036 | 181 | 24 | 13.26% | 218 | 45 | 79.36% | 1 | 785 | 1620 | 48.46% | 857 | 1782 | 48.09% | 371 | 757 | 49.01% | 1092 | 738 | 1209 | 357 | 605 | 296 | 43.7% | 8.6% | 89.6% | 98.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 1620 |
Neutral Zone Start | 757 |
Defensive Zone Start | 1782 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2013 |
Faceoffs Lost | 2146 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 30.0 | 30.68 |
Overtime | 30.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 96 |
---|---|
PP Goal | 24 |
PK Goal | 1 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 8 | 7 |
Lost | 13 | 16 |
Overtime Lost | 3 | 1 |
PP Attempt | 181 |
---|---|
PP Goal | 24 |
PK Attempt | 218 |
PK Goal Against | 45 |
Home | |
---|---|
Shots For | 30.3 |
Shots Against | 35.0 |
Goals For | 2.6 |
Goals Against | 3.6 |
Hits | 21.6 |
Shots Blocked | 10.2 |
Pim | 10.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-12 | @ | Hockey Club4,Islanders2 | RECAP | |||||||||||
2024-10-14 | @ | Islanders4,Stars2 | RECAP | |||||||||||
2024-10-16 | @ | Islanders6,Avalanche3 | RECAP | |||||||||||
2024-10-19 | @ | Islanders5,Blues4 (OT) | RECAP | |||||||||||
2024-10-21 | @ | Canadiens1,Islanders3 | RECAP | |||||||||||
2024-10-24 | @ | Red Wings4,Islanders2 | RECAP | |||||||||||
2024-10-27 | @ | Islanders1,Devils3 | RECAP | |||||||||||
2024-10-28 | @ | Panthers3,Islanders2 (OT) | RECAP | |||||||||||
2024-10-31 | @ | Ducks3,Islanders2 | RECAP | |||||||||||
2024-11-01 | @ | Islanders3,Blue Jackets6 | RECAP | |||||||||||
2024-11-03 | @ | Islanders0,Sabres5 | RECAP | |||||||||||
2024-11-05 | @ | Islanders4,Rangers6 | RECAP | |||||||||||
2024-11-07 | @ | Penguins5,Islanders2 | RECAP | |||||||||||
2024-11-09 | @ | Islanders6,Senators1 | RECAP | |||||||||||
2024-11-11 | @ | Devils3,Islanders4 | RECAP | |||||||||||
2024-11-14 | @ | Islanders0,Oilers2 | RECAP | |||||||||||
2024-11-16 | @ | Islanders5,Canucks2 | RECAP | |||||||||||
2024-11-18 | @ | Islanders4,Kraken5 | RECAP | |||||||||||
2024-11-21 | @ | Islanders1,Flames5 | RECAP | |||||||||||
2024-11-23 | @ | Islanders1,Red Wings3 | RECAP | |||||||||||
2024-11-25 | @ | Blues2,Islanders3 | RECAP | |||||||||||
2024-11-27 | @ | Red Wings3,Islanders4 (SO) | RECAP | |||||||||||
2024-11-29 | @ | Bruins4,Islanders5 (OT) | RECAP | |||||||||||
2024-12-01 | @ | Islanders3,Capitals5 | RECAP | |||||||||||
2024-12-02 | @ | Sabres6,Islanders2 | RECAP | |||||||||||
2024-12-05 | @ | Islanders2,Canadiens3 | RECAP | |||||||||||
2024-12-07 | @ | Kraken4,Islanders2 | RECAP | |||||||||||
2024-12-09 | @ | Hurricanes5,Islanders1 | RECAP | |||||||||||
2024-12-10 | @ | Islanders3,Senators5 | RECAP | |||||||||||
2024-12-12 | @ | Kings5,Islanders1 | RECAP | |||||||||||
2024-12-14 | @ | Blackhawks4,Islanders2 | RECAP | |||||||||||
2024-12-17 | @ | Islanders3,Blackhawks4 | RECAP | |||||||||||
2024-12-19 | @ | Islanders3,Hurricanes1 | RECAP | |||||||||||
2024-12-23 | @ | Islanders1,Maple Leafs4 | RECAP | |||||||||||
2024-12-25 | @ | Sabres2,Islanders3 (OT) | RECAP | |||||||||||
2024-12-30 | @ | Penguins0,Islanders2 | RECAP | |||||||||||
2024-12-31 | @ | Islanders1,Penguins6 | RECAP | |||||||||||
2025-01-02 | @ | Islanders3,Maple Leafs4 (OT) | RECAP | |||||||||||
2025-01-04 | @ | Maple Leafs5,Islanders4 | RECAP | |||||||||||
2025-01-07 | @ | Islanders1,Bruins3 | RECAP | |||||||||||
2025-01-11 | @ | Islanders0,Golden Knights3 | RECAP | |||||||||||
2025-01-13 | @ | Islanders3,Hockey Club2 | RECAP | |||||||||||
2025-01-16 | @ | Senators3,Islanders5 | RECAP | |||||||||||
2025-01-18 | @ | Flyers3,Islanders2 (SO) | RECAP | |||||||||||
2025-01-20 | @ | Sharks5,Islanders2 | RECAP | |||||||||||
2025-01-22 | @ | Blue Jackets4,Islanders0 | RECAP | |||||||||||
2025-01-26 | @ | Flyers6,Islanders4 | RECAP | |||||||||||
2025-01-27 | @ | Hurricanes4,Islanders3 (SO) | RECAP | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2025-04-19 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
69,373,833$ | 0$ | 67,669,007$ | 18,626,167$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Barclays Center | |
City | New York | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 133677 | 112091 | 45705 | 90727 | 21735 |
Attendance PCT | 92.83% | 93.41% | 95.22% | 94.51% | 90.56% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 16831 - 93.50% | 1,533,350$ | 36,800,411$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
69,373,833$ | 69,373,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
39,585,950$ | 353,948$ | 38,999,219$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
26,066,958$ | 81 | 359,050$ | 29,083,050$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
30,343,789$ | 69,373,833$ | 92,500,102$ | 88,223,271$ |
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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 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Adam Gajan | 2023 | 67 | |||
Albin Sundsvik | |||||
Aron Kiviharju | 2024 | 35 | |||
Benjamin Baumgartner | |||||
Berkly Catton | 2024 | 6 | |||
Connor Kelley | 2021 | 221 | |||
Emil Hemming | 2024 | 28 | |||
Jack Peart | 2021 | 45 | |||
Jesse Nurmi | 2023 | 114 | |||
Leo Sahlin Wallenius | 2024 | 47 | |||
Mathis Rousseau | 2023 | 213 | |||
Mikhail Yegorov | 2024 | 77 | |||
Oliver Suni | 2020 | 103 | |||
Vojtech Hradec | 2024 | 186 |
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