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Full Scoreboard »» |
| New York Islanders 22-35-5, 49pts · 15th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jaden Schwartz | 0 | LW | 100.00 | 63 | 32 | 89 | 69 | 70 | 84 | 87 | 68 | 61 | 68 | 76 | 63 | 72 | 82 | 81 | 0 | 29 | 80 | 33 | 6,000,000$/1yrs | |||
Nick Foligno | 0 | C/LW/RW | 100.00 | 85 | 49 | 77 | 63 | 81 | 81 | 85 | 64 | 80 | 67 | 66 | 75 | 65 | 90 | 94 | 0 | 31 | 79 | 38 | 4,500,000$/1yrs | |||
Victor Olofsson | 0 | LW/RW | 100.00 | 59 | 32 | 92 | 67 | 70 | 78 | 85 | 65 | 58 | 67 | 70 | 53 | 68 | 76 | 75 | 0 | 29 | 76 | 30 | 4,675,000$/1yrs | |||
Nic Dowd | 0 | C/RW | 100.00 | 75 | 35 | 75 | 58 | 76 | 80 | 89 | 60 | 84 | 62 | 64 | 80 | 62 | 85 | 83 | 0 | 29 | 76 | 35 | 3,000,000$/2yrs | |||
Vladislav Namestnikov | 0 | C/LW/RW | 100.00 | 70 | 32 | 82 | 60 | 70 | 79 | 89 | 62 | 78 | 66 | 64 | 64 | 63 | 81 | 79 | 0 | 18 | 75 | 33 | 3,750,000$/1yrs | |||
Adam Erne | 73 | LW/RW | 100.00 | 92 | 33 | 95 | 60 | 83 | 71 | 68 | 59 | 59 | 56 | 67 | 61 | 63 | 76 | 76 | 0 | 18 | 74 | 30 | 1,500,000$/1yrs | |||
Danton Heinen | 0 | LW/RW | 99.00 | 69 | 35 | 85 | 62 | 75 | 77 | 84 | 59 | 59 | 65 | 61 | 65 | 60 | 76 | 75 | 0 | 25 | 74 | 30 | 3,000,000$/2yrs | |||
Max Domi | 0 | C/LW/RW | 100.00 | 60 | 41 | 71 | 65 | 73 | 78 | 88 | 60 | 79 | 70 | 61 | 56 | 60 | 77 | 74 | 0 | 31 | 74 | 31 | 6,000,000$/1yrs | |||
Jakob Pelletier | 0 | C/LW | 100.00 | 67 | 31 | 92 | 65 | 64 | 74 | 76 | 61 | 60 | 65 | 64 | 61 | 62 | 66 | 65 | 0 | 41 | 74 | 24 | 900,000$/2yrs | |||
Mitchell Chaffee | 0 | RW | 100.00 | 80 | 36 | 88 | 56 | 79 | 74 | 80 | 58 | 59 | 57 | 65 | 55 | 62 | 71 | 70 | 0 | 29 | 71 | 28 | 775,000$/2yrs | |||
Reese Johnson | 17 | RW | 100.00 | 72 | 40 | 71 | 54 | 76 | 64 | 83 | 63 | 41 | 55 | 54 | 66 | 54 | 66 | 63 | 0 | 32 | 69 | 27 | 800,000$/1yrs | |||
Alex Pietrangelo | 0 | D | 100.00 | 62 | 34 | 92 | 69 | 86 | 92 | 80 | 64 | 30 | 73 | 58 | 76 | 61 | 86 | 97 | 0 | 24 | 83 | 36 | 9,000,000$/3yrs | |||
Matt Grzelcyk | 0 | D | 100.00 | 61 | 32 | 90 | 65 | 67 | 87 | 90 | 60 | 30 | 72 | 52 | 62 | 56 | 79 | 78 | 0 | 29 | 77 | 32 | 4,250,000$/1yrs | |||
John Klingberg | 0 | D | 99.00 | 63 | 33 | 80 | 63 | 78 | 88 | 74 | 53 | 30 | 66 | 73 | 58 | 63 | 81 | 79 | 0 | 27 | 76 | 33 | 6,500,000$/2yrs | |||
Erik Gudbranson | 44 | D | 100.00 | 74 | 34 | 79 | 55 | 91 | 83 | 69 | 57 | 30 | 63 | 50 | 71 | 54 | 82 | 80 | 0 | 30 | 75 | 34 | 4,000,000$/3yrs | |||
Olen Zellweger | 0 | D | 100.00 | 62 | 32 | 86 | 59 | 66 | 86 | 86 | 54 | 30 | 65 | 63 | 57 | 59 | 62 | 60 | 0 | 29 | 72 | 22 | 844,167$/1yrs | |||
Justin Holl | 0 | D | 100.00 | 61 | 33 | 92 | 55 | 80 | 79 | 80 | 50 | 30 | 57 | 54 | 59 | 52 | 82 | 81 | 0 | 19 | 70 | 34 | 2,700,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Tyler Johnson | 0 | C/LW/RW | 100.00 | 64 | 32 | 83 | 66 | 68 | 81 | 77 | 66 | 75 | 64 | 70 | 60 | 68 | 84 | 82 | 0 | 20 | 77 | 35 | 3,333,000$/2yrs | |||
Evgeny Kuznetsov | 0 | C | 100.00 | 60 | 33 | 83 | 64 | 82 | 85 | 75 | 62 | 81 | 66 | 63 | 67 | 62 | 80 | 79 | 0 | 20 | 75 | 33 | 2,500,000$/2yrs | |||
Alexander Barabanov | 0 | LW/RW | 100.00 | 62 | 32 | 90 | 58 | 73 | 82 | 72 | 60 | 59 | 63 | 60 | 56 | 60 | 76 | 76 | 0 | 20 | 72 | 31 | 2,000,000$/1yrs | |||
Rasmus Kupari | 0 | C/LW/RW | 100.00 | 72 | 33 | 90 | 55 | 80 | 72 | 78 | 53 | 81 | 55 | 59 | 66 | 56 | 68 | 67 | 0 | 20 | 69 | 25 | 1,100,000$/2yrs | |||
Ryan Lomberg | 0 | C/LW | 93.76 | 78 | 56 | 69 | 55 | 70 | 69 | 89 | 55 | 59 | 58 | 57 | 56 | 56 | 77 | 74 | 0 | 14 | 69 | 31 | 1,000,000$/2yrs | |||
Oliver Wahlstrom | 0 | RW | 100.00 | 65 | 51 | 71 | 56 | 81 | 72 | 74 | 55 | 63 | 56 | 58 | 60 | 57 | 67 | 64 | 0 | 20 | 68 | 25 | 1,200,000$/3yrs | |||
Marc-Edouard Vlasic | 0 | D | 100.00 | 55 | 33 | 97 | 55 | 80 | 79 | 71 | 50 | 30 | 56 | 55 | 63 | 53 | 90 | 90 | 0 | 20 | 70 | 38 | 4,000,000$/1yrs | |||
Ryan Ellis | 0 | D | 100.00 | 57 | 32 | 80 | 60 | 68 | 93 | 60 | 60 | 30 | 52 | 52 | 60 | 79 | 81 | 81 | 0 | 20 | 70 | 35 | 6,250,000$/1yrs | |||
| TEAM AVERAGE | 99.64 | 68 | 36 | 84 | 61 | 75 | 80 | 80 | 59 | 55 | 63 | 61 | 63 | 61 | 78 | 77 | 0 | 25 | 74 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Charlie Lindgren | 5 | 100.00 | 83 | 85 | 76 | 74 | 82 | 72 | 83 | 89 | 77 | 89 | 83 | 79 | 83 | 0 | 29 | 85 | 32 | 4,000,000$/4yrs |
Laurent Brossoit | 0 | 96.00 | 76 | 68 | 69 | 87 | 87 | 77 | 85 | 85 | 84 | 87 | 85 | 79 | 83 | 0 | 30 | 85 | 32 | 3,000,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.00 | 80 | 77 | 73 | 81 | 85 | 75 | 84 | 87 | 81 | 88 | 84 | 79 | 83 | 0 | 30 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Hynes | 75 | 78 | 78 | 83 | 77 | 82 | 78 | USA | 49 | 4 | 1,000,000$ |
| 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 | Nick Foligno | 0 | C/LW/RW | 62 | 19 | 35 | 54 | -7 | 77 | 5 | 211 | 223 | 58 | 173 | 8.52% | 32 | 21.24 | 4 | 12 | 16 | 198 | 0 | 0 | 0 | 120 | 6 | 0 | 52.69% | 1803 | 0 | 0 | 1 | 0 | 0.82 | 2 | 3 | |
| 2 | Jaden Schwartz | 0 | LW | 61 | 21 | 25 | 46 | -8 | 6 | 0 | 29 | 204 | 69 | 143 | 10.29% | 10 | 21.56 | 7 | 4 | 11 | 194 | 0 | 0 | 0 | 127 | 2 | 1 | 42.72% | 103 | 0 | 0 | 0 | 0 | 0.70 | 0 | 3 | |
| 3 | Erik Gudbranson | 44 | D | 62 | 9 | 30 | 39 | -9 | 93 | 5 | 157 | 112 | 38 | 75 | 8.04% | 122 | 24.27 | 5 | 7 | 12 | 196 | 0 | 0 | 0 | 179 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 4 | Max Domi | 0 | C/LW/RW | 62 | 10 | 21 | 31 | 0 | 26 | 10 | 106 | 139 | 36 | 93 | 7.19% | 9 | 18.67 | 2 | 6 | 8 | 171 | 0 | 0 | 0 | 107 | 0 | 0 | 49.14% | 1219 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 5 | Danton Heinen | 0 | LW/RW | 62 | 11 | 17 | 28 | -4 | 45 | 5 | 86 | 149 | 56 | 121 | 7.38% | 15 | 19.53 | 1 | 7 | 8 | 171 | 0 | 0 | 0 | 147 | 2 | 1 | 39.05% | 169 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 6 | Matt Grzelcyk | 0 | D | 62 | 3 | 23 | 26 | 1 | 58 | 0 | 82 | 65 | 25 | 43 | 4.62% | 89 | 21.69 | 2 | 6 | 8 | 173 | 0 | 0 | 0 | 160 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 7 | Alex Pietrangelo | 0 | D | 61 | 4 | 21 | 25 | -8 | 38 | 0 | 64 | 62 | 27 | 50 | 6.45% | 98 | 19.89 | 3 | 3 | 6 | 90 | 0 | 0 | 0 | 157 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 8 | John Klingberg | 0 | D | 62 | 6 | 15 | 21 | 1 | 63 | 5 | 149 | 53 | 12 | 32 | 11.32% | 91 | 22.14 | 2 | 5 | 7 | 173 | 0 | 0 | 0 | 192 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 9 | Victor Olofsson | 0 | LW/RW | 62 | 6 | 13 | 19 | -13 | 10 | 0 | 8 | 124 | 35 | 69 | 4.84% | 6 | 16.00 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 4 | 3 | 0 | 39.34% | 61 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 10 | Nic Dowd | 0 | C/RW | 62 | 10 | 7 | 17 | -20 | 12 | 0 | 40 | 127 | 45 | 91 | 7.87% | 15 | 12.05 | 5 | 5 | 10 | 134 | 0 | 0 | 0 | 122 | 1 | 2 | 51.75% | 773 | 0 | 0 | 0 | 0 | 0.46 | 0 | 1 | |
| 11 | Jakob Pelletier | 0 | C/LW | 51 | 6 | 9 | 15 | 4 | 18 | 0 | 30 | 77 | 14 | 52 | 7.79% | 7 | 13.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 44 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 12 | Vladislav Namestnikov | 0 | C/LW/RW | 51 | 7 | 7 | 14 | -5 | 4 | 0 | 28 | 82 | 33 | 60 | 8.54% | 8 | 12.00 | 0 | 0 | 0 | 39 | 0 | 0 | 0 | 28 | 0 | 2 | 42.54% | 134 | 0 | 0 | 0 | 0 | 0.46 | 1 | 2 | |
| 13 | Olen Zellweger | 0 | D | 62 | 4 | 6 | 10 | -26 | 30 | 0 | 96 | 44 | 14 | 33 | 9.09% | 64 | 17.50 | 1 | 0 | 1 | 117 | 0 | 0 | 0 | 147 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
| 14 | Mitchell Chaffee | 0 | RW | 62 | 3 | 5 | 8 | -20 | 8 | 0 | 16 | 42 | 18 | 40 | 7.14% | 3 | 7.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 36.11% | 36 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 15 | Oliver Wahlstrom | 0 | RW | 41 | 4 | 3 | 7 | -2 | 0 | 0 | 16 | 40 | 5 | 16 | 10.00% | 7 | 9.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 27 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| 16 | Adam Erne | 73 | LW/RW | 44 | 4 | 2 | 6 | 0 | 15 | 5 | 47 | 37 | 12 | 26 | 10.81% | 3 | 10.59 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 35 | 1 | 0 | 56.25% | 32 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 17 | Justin Holl | 0 | D | 48 | 1 | 4 | 5 | -24 | 26 | 0 | 50 | 21 | 0 | 10 | 4.76% | 36 | 15.49 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
| 18 | Ryan Lomberg | 0 | C/LW | 52 | 2 | 2 | 4 | -4 | 16 | 0 | 56 | 36 | 12 | 23 | 5.56% | 3 | 13.50 | 0 | 0 | 0 | 127 | 0 | 0 | 0 | 114 | 1 | 0 | 38.76% | 756 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
| 19 | Reese Johnson | 17 | RW | 62 | 0 | 3 | 3 | -20 | 16 | 0 | 55 | 42 | 22 | 42 | 0.00% | 0 | 7.54 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 28 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
| 20 | Ryan Ellis | 0 | D | 17 | 0 | 2 | 2 | -3 | 6 | 0 | 16 | 6 | 3 | 2 | 0.00% | 12 | 16.84 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| Team Total or Average | 1108 | 130 | 250 | 380 | -167 | 567 | 35 | 1342 | 1685 | 534 | 1194 | 7.72% | 630 | 16.31 | 32 | 56 | 88 | 1809 | 0 | 0 | 0 | 1662 | 19 | 9 | 48.27% | 5185 | 0 | 0 | 1 | 0 | 0.42 | 3 | 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 | 33 | 12 | 17 | 2 | 0.913 | 2.93 | 1905 | 2 | 1 | 93 | 1066 | 0 | 2 | 0 | 0.000 | 0 | 31 | 29 | 3 | 3 | 0 | |
| 2 | Charlie Lindgren | 33 | 10 | 18 | 3 | 0.914 | 3.13 | 1839 | 4 | 1 | 96 | 1110 | 0 | 0 | 0 | 0.800 | 10 | 31 | 31 | 5 | 2 | 0 | |
| Team Total or Average | 66 | 22 | 35 | 5 | 0.913 | 3.03 | 3744 | 6 | 2 | 189 | 2176 | 0 | 2 | 0 | 0.800 | 10 | 62 | 60 | 8 | 5 | 0 |
| Projected Total Cap Hit | 76,499,813$ |
| Projected Cap Space | 19,000,187$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 59,334,729$ |
| Players In Salary Cap | 26 |
| LTIR Players | 1 |
| Islanders Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne ![]() | LW/RW | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Alex Pietrangelo ![]() | D | 36 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||||
Alexander Barabanov ![]() | LW/RW | 31 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Charlie Lindgren ![]() | G | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Danton Heinen ![]() | LW/RW | 30 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Erik Gudbranson ![]() | D | 34 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Evgeny Kuznetsov ![]() | C | 33 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Jaden Schwartz ![]() | LW | 33 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Jakob Pelletier | C/LW | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
John Klingberg ![]() | D | 33 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Justin Holl ![]() | D | 34 | 2,700,000$ | 2,700,000$ | UFA | ||||||
| Laurent Brossoit | G | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Marc-Edouard Vlasic ![]() | D | 38 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Matt Grzelcyk ![]() | D | 32 | 4,250,000$ | 4,250,000$ | UFA | ||||||
Max Domi ![]() | C/LW/RW | 31 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Mitchell Chaffee | RW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Nic Dowd ![]() | C/RW | 35 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Nick Foligno ![]() | C/LW/RW | 38 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Olen Zellweger | D | 22 | 844,167$ | 844,167$ | RFA | ||||||
Oliver Wahlstrom | RW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
Rasmus Kupari | C/LW/RW | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Reese Johnson | RW | 27 | 800,000$ | 800,000$ | |||||||
Ryan Ellis ![]() | D | 35 | 6,250,000$ | 6,250,000$ | UFA | ||||||
Ryan Lomberg | C/LW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Tyler Johnson ![]() | C/LW/RW | 35 | 3,333,000$ | 3,333,000$ | 3,333,000$ | UFA | |||||
Victor Olofsson ![]() | LW/RW | 30 | 4,675,000$ | 4,675,000$ | UFA | ||||||
Vladislav Namestnikov ![]() | C/LW/RW | 33 | 3,750,000$ | 3,750,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Angus Crookshank | LW | 26 | 900,000$ | 900,000$ | |||||||
Axel Jonsson-Fjallby | LW | 28 | 775,000$ | 775,000$ | |||||||
Axel Sandin Pellikka | D | 20 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Berkly Catton | C | 20 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
Brandon Coe | RW | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Cameron Wright | LW/RW | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Drew Bavaro | D | 25 | 867,500$ | 867,500$ | |||||||
Dustin Tokarski | G | 36 | 800,000$ | 800,000$ | UFA | ||||||
Emil Hemming | LW/RW | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
Gabriel Fortier | C | 26 | 800,000$ | 800,000$ | |||||||
Isaac Poulter | G | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Jack Peart | D | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Jackson Cates | C | 28 | 800,000$ | 800,000$ | |||||||
Kaleb Lawrence | RW | 23 | 852,500$ | 852,500$ | 852,500$ | RFA | |||||
Kevin Wall | RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Lassi Thomson | D | 25 | 900,000$ | 900,000$ | RFA | ||||||
Laurent Dauphin | LW/RW | 30 | 780,000$ | 780,000$ | UFA | ||||||
Leo Sahlin Wallenius | D | 19 | 940,000$ | 940,000$ | 940,000$ | 940,000$ | RFA | ||||
Lleyton Moore | D | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Matthew Schaefer | D | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Maxim Groshev | LW | 24 | 867,500$ | 867,500$ | RFA | ||||||
Michael Callahan | D | 26 | 800,000$ | 800,000$ | |||||||
Oliver Kapanen | C | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Peter Diliberatore | D | 25 | 800,000$ | 800,000$ | |||||||
Philip Kemp | D | 27 | 775,000$ | 775,000$ | 775,000$ | ||||||
Quinn Schmiemann | D | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Raivis Ansons | C | 28 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Rasmus Kumpulainen | C | 20 | 0$ | RFA | |||||||
Samuel Bitten | C | 25 | 775,000$ | 775,000$ | |||||||
Samuel Honzek | LW | 21 | 950,000$ | 950,000$ | RFA | ||||||
Scott Harrington | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Sebastian Cossa | G | 23 | 863,333$ | 863,333$ | RFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 26 | 13 | 4 | 9 | 0 | 34 | 6 | 8 | 21 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 24 | 16 | 21 | 8 | 14 | 7 | 75.0% | 15.4% | 97.1% | 112.4 | LUCKY | |
| 2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 87 | 35 | 27 | 25 | 0 | 128 | 36 | 22 | 72 | 11 | 2 | 18.18% | 11 | 3 | 72.73% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 70 | 46 | 72 | 20 | 37 | 18 | 28.6% | 6.9% | 89.8% | 96.7 | Unlucky | |
| 3 | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 10 | 16 | -6 | 1 | 0.125 | 10 | 18 | 28 | 0 | 0 | 4 | 3 | 3 | 0 | 104 | 35 | 32 | 37 | 0 | 124 | 24 | 38 | 102 | 17 | 2 | 11.76% | 18 | 5 | 72.22% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 94 | 64 | 92 | 31 | 53 | 26 | 42.1% | 9.6% | 87.1% | 96.7 | FUN | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 3 | 8 | 12 | 0 | 34 | 7 | 12 | 26 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 22 | 14 | 24 | 7 | 13 | 6 | 0.0% | 4.3% | 88.2% | 92.6 | Unlucky | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 23 | 3 | 8 | 12 | 0 | 41 | 11 | 6 | 16 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 21 | 15 | 26 | 6 | 11 | 5 | 50.0% | 8.7% | 92.7% | 101.4 | DULL | |
| 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 50 | 10 | 24 | 16 | 0 | 70 | 26 | 16 | 52 | 6 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 42 | 28 | 52 | 15 | 25 | 12 | 60.0% | 6.0% | 94.3% | 100.3 | DULL | |
| 7 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 6 | 0.750 | 6 | 11 | 17 | 0 | 1 | 3 | 2 | 1 | 0 | 114 | 40 | 31 | 43 | 0 | 145 | 44 | 46 | 97 | 8 | 0 | 0.00% | 17 | 2 | 88.24% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 83 | 55 | 107 | 30 | 49 | 22 | 50.0% | 5.3% | 94.5% | 99.7 | DULL | |
| 8 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 2 | 1 | 72 | 17 | 28 | 23 | 4 | 91 | 34 | 18 | 58 | 9 | 2 | 22.22% | 8 | 0 | 100.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 67 | 46 | 76 | 22 | 39 | 19 | 27.3% | 6.9% | 91.2% | 98.2 | DULL | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 26 | 4 | 6 | 16 | 0 | 36 | 6 | 14 | 16 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 20 | 12 | 26 | 7 | 13 | 6 | 25.0% | 7.7% | 88.9% | 96.6 | Unlucky | |
| 10 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 16 | 15 | 1 | 5 | 0.625 | 16 | 30 | 46 | 0 | 0 | 3 | 9 | 3 | 2 | 126 | 41 | 40 | 36 | 15 | 159 | 41 | 38 | 90 | 19 | 5 | 26.32% | 19 | 4 | 78.95% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 96 | 67 | 99 | 30 | 53 | 26 | 50.0% | 12.7% | 90.6% | 103.3 | FUN | |
| 11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 9 | 15 | 0 | 0 | 3 | 1 | 2 | 0 | 56 | 21 | 16 | 19 | 0 | 84 | 19 | 24 | 55 | 7 | 0 | 0.00% | 11 | 4 | 63.64% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 39 | 25 | 55 | 16 | 25 | 10 | 46.2% | 10.7% | 86.9% | 97.6 | FUN | |
| 12 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 2 | 1 | 60 | 16 | 14 | 26 | 4 | 62 | 22 | 20 | 45 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 44 | 29 | 51 | 16 | 25 | 12 | 42.9% | 6.7% | 91.9% | 98.6 | DULL | |
| 13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 40 | 16 | 13 | 11 | 0 | 77 | 17 | 29 | 45 | 2 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 40 | 26 | 52 | 15 | 26 | 11 | 25.0% | 7.5% | 88.3% | 95.8 | Unlucky | |
| 14 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.333 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 2 | 1 | 78 | 26 | 21 | 28 | 3 | 68 | 16 | 20 | 66 | 14 | 2 | 14.29% | 10 | 3 | 70.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 73 | 48 | 65 | 23 | 40 | 21 | 33.3% | 5.1% | 89.7% | 94.8 | Unlucky | |
| 15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 50 | 22 | 13 | 15 | 0 | 83 | 12 | 18 | 43 | 7 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 42 | 26 | 51 | 15 | 26 | 13 | 46.2% | 12.0% | 88.0% | 100.0 | FUN | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 18 | 6 | 7 | 5 | 0 | 34 | 11 | 8 | 16 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 17 | 12 | 29 | 7 | 12 | 5 | 50.0% | 16.7% | 94.1% | 110.8 | LUCKY | |
| 17 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 0 | 4 | 2 | 0 | 45 | 12 | 15 | 14 | 4 | 89 | 19 | 37 | 35 | 9 | 2 | 22.22% | 12 | 3 | 75.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 44 | 28 | 53 | 16 | 26 | 12 | 44.4% | 13.3% | 91.0% | 104.3 | FUN | |
| 18 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 9 | 15 | 0 | 0 | 5 | 1 | 0 | 0 | 90 | 36 | 26 | 28 | 0 | 105 | 29 | 30 | 66 | 5 | 1 | 20.00% | 15 | 3 | 80.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 66 | 44 | 75 | 20 | 37 | 19 | 50.0% | 6.7% | 92.4% | 99.0 | DULL | |
| 19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 55 | 28 | 9 | 18 | 0 | 64 | 39 | 12 | 43 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 42 | 27 | 51 | 14 | 26 | 12 | 37.5% | 7.3% | 90.6% | 97.9 | Unlucky | |
| 20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 33 | 14 | 7 | 12 | 0 | 24 | 14 | 4 | 14 | 5 | 3 | 60.00% | 2 | 1 | 50.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 24 | 16 | 20 | 8 | 14 | 7 | 50.0% | 12.1% | 91.7% | 103.8 | LUCKY | |
| 21 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 46 | 10 | 13 | 22 | 1 | 58 | 13 | 18 | 43 | 13 | 1 | 7.69% | 9 | 1 | 88.89% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 45 | 29 | 49 | 17 | 26 | 13 | 50.0% | 8.7% | 93.1% | 101.8 | DULL | |
| 22 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 79 | 31 | 21 | 27 | 0 | 120 | 47 | 22 | 69 | 9 | 1 | 11.11% | 9 | 2 | 77.78% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 66 | 45 | 76 | 20 | 37 | 18 | 22.2% | 3.8% | 92.5% | 96.3 | DULL | |
| 23 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 15 | 24 | 0 | 1 | 3 | 2 | 3 | 1 | 68 | 21 | 20 | 23 | 7 | 66 | 21 | 16 | 49 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 52 | 36 | 45 | 14 | 26 | 13 | 70.0% | 13.2% | 93.9% | 107.2 | LUCKY | |
| 24 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 3 | 0 | 2 | 1 | 62 | 19 | 22 | 19 | 2 | 78 | 20 | 23 | 33 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 46 | 33 | 50 | 13 | 24 | 12 | 83.3% | 9.7% | 96.2% | 105.8 | LUCKY | |
| 25 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 1 | 1 | 34 | 6 | 16 | 8 | 4 | 37 | 14 | 10 | 23 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 24 | 18 | 26 | 6 | 10 | 5 | 50.0% | 14.7% | 89.2% | 103.9 | FUN | |
| 26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 46 | 13 | 18 | 15 | 0 | 29 | 8 | 10 | 22 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 24 | 17 | 21 | 6 | 13 | 7 | 60.0% | 8.7% | 93.1% | 101.8 | DULL | |
| 27 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 74 | 39 | 16 | 19 | 0 | 87 | 22 | 16 | 50 | 10 | 2 | 20.00% | 8 | 1 | 87.50% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 42 | 27 | 52 | 15 | 25 | 12 | 16.7% | 4.1% | 93.1% | 97.2 | DULL | |
| 28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 32 | 10 | 9 | 13 | 0 | 34 | 7 | 4 | 19 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 24 | 16 | 23 | 6 | 12 | 6 | 37.5% | 12.5% | 85.3% | 97.8 | FUN | |
| 29 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 63 | 22 | 15 | 26 | 0 | 48 | 21 | 22 | 40 | 7 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 45 | 29 | 48 | 14 | 25 | 12 | 20.0% | 1.6% | 87.5% | 89.1 | Unlucky | |
| 30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 50 | 14 | 18 | 18 | 0 | 67 | 20 | 16 | 46 | 7 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 45 | 31 | 50 | 15 | 24 | 12 | 66.7% | 8.0% | 95.5% | 103.5 | DULL | |
| _Vs Division | 21 | 4 | 13 | 0 | 0 | 2 | 1 | 1 | 46 | 70 | -24 | 13 | 0.310 | 46 | 85 | 131 | 0 | 1 | 18 | 19 | 8 | 2 | 607 | 224 | 175 | 199 | 15 | 804 | 225 | 188 | 496 | 75 | 12 | 16.00% | 85 | 18 | 78.82% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 475 | 322 | 527 | 156 | 267 | 130 | 39.5% | 7.6% | 91.3% | 98.9 | DULL | |
| _Vs Conference | 37 | 8 | 22 | 0 | 2 | 3 | 1 | 1 | 76 | 113 | -37 | 26 | 0.351 | 76 | 137 | 213 | 0 | 1 | 28 | 27 | 18 | 4 | 1043 | 361 | 304 | 361 | 23 | 1289 | 377 | 322 | 836 | 133 | 22 | 16.54% | 146 | 29 | 80.14% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 837 | 563 | 919 | 277 | 479 | 236 | 39.1% | 7.3% | 91.2% | 98.5 | DULL | |
| _Since Last GM Reset | 62 | 15 | 35 | 0 | 5 | 4 | 2 | 1 | 144 | 190 | -46 | 49 | 0.395 | 144 | 256 | 400 | 0 | 2 | 50 | 50 | 37 | 8 | 1730 | 583 | 517 | 595 | 44 | 2176 | 626 | 577 | 1372 | 219 | 35 | 15.98% | 247 | 49 | 80.16% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 1397 | 940 | 1552 | 468 | 801 | 392 | 43.6% | 8.3% | 91.3% | 99.6 | DULL | |
| Total | 62 | 15 | 35 | 0 | 5 | 4 | 2 | 1 | 144 | 190 | -46 | 49 | 0.395 | 144 | 256 | 400 | 0 | 2 | 50 | 50 | 37 | 8 | 1730 | 583 | 517 | 595 | 44 | 2176 | 626 | 577 | 1372 | 219 | 35 | 15.98% | 247 | 49 | 80.16% | 0 | 1008 | 2030 | 49.66% | 1149 | 2367 | 48.54% | 459 | 939 | 48.88% | 1397 | 940 | 1552 | 468 | 801 | 392 | 43.6% | 8.3% | 91.3% | 99.6 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2030 |
| Neutral Zone Start | 939 |
| Defensive Zone Start | 2367 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2616 |
| Faceoffs Lost | 2720 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.4 | 9.57 |
| 2nd Period | 17.7 | 20.31 |
| 3rd Period | 27.3 | 30.68 |
| Overtime | 28.0 | 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 | 2.2 | 2.67 |
| Overtime | 2.3 | 2.83 |
| Even Strenght Goal | 109 |
|---|---|
| PP Goal | 35 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 11 | 11 |
| Lost | 17 | 18 |
| Overtime Lost | 1 | 4 |
| PP Attempt | 219 |
|---|---|
| PP Goal | 35 |
| PK Attempt | 247 |
| PK Goal Against | 49 |
| Home | |
|---|---|
| Shots For | 27.9 |
| Shots Against | 35.1 |
| Goals For | 2.3 |
| Goals Against | 3.1 |
| Hits | 22.1 |
| Shots Blocked | 10.1 |
| Pim | 9.3 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Islanders3,Penguins4 (OT) | RECAP | |||||||||||
| 2025-10-12 | @ | Capitals3,Islanders1 | RECAP | |||||||||||
| 2025-10-14 | @ | Jets4,Islanders5 (SO) | RECAP | |||||||||||
| 2025-10-17 | @ | Oilers5,Islanders2 | RECAP | |||||||||||
| 2025-10-19 | @ | Islanders1,Senators4 | RECAP | |||||||||||
| 2025-10-22 | @ | Sharks5,Islanders4 | RECAP | |||||||||||
| 2025-10-24 | @ | Red Wings2,Islanders1 | RECAP | |||||||||||
| 2025-10-26 | @ | Islanders1,Flyers5 | RECAP | |||||||||||
| 2025-10-29 | @ | Islanders2,Bruins3 | RECAP | |||||||||||
| 2025-10-31 | @ | Islanders2,Hurricanes3 | RECAP | |||||||||||
| 2025-11-01 | @ | Islanders2,Capitals3 (SO) | RECAP | |||||||||||
| 2025-11-03 | @ | Blue Jackets3,Islanders1 | RECAP | |||||||||||
| 2025-11-05 | @ | Bruins3,Islanders1 | RECAP | |||||||||||
| 2025-11-08 | @ | Wild5,Islanders4 | RECAP | |||||||||||
| 2025-11-09 | @ | Islanders2,Rangers1 | RECAP | |||||||||||
| 2025-11-11 | @ | Islanders2,Devils3 | RECAP | |||||||||||
| 2025-11-14 | @ | Islanders1,Golden Knights2 | RECAP | |||||||||||
| 2025-11-15 | @ | Islanders2,Mammoth3 (OT) | RECAP | |||||||||||
| 2025-11-17 | @ | Islanders2,Avalanche1 | RECAP | |||||||||||
| 2025-11-19 | @ | Islanders5,Stars4 (OT) | RECAP | |||||||||||
| 2025-11-21 | @ | Islanders4,Red Wings3 (OT) | RECAP | |||||||||||
| 2025-11-23 | @ | Blues2,Islanders3 | RECAP | |||||||||||
| 2025-11-24 | @ | Kraken2,Islanders4 | RECAP | |||||||||||
| 2025-11-27 | @ | Bruins2,Islanders3 | RECAP | |||||||||||
| 2025-11-29 | @ | Flyers4,Islanders3 | RECAP | |||||||||||
| 2025-12-01 | @ | Capitals5,Islanders6 (SO) | RECAP | |||||||||||
| 2025-12-03 | @ | Lightning3,Islanders1 | RECAP | |||||||||||
| 2025-12-05 | @ | Avalanche3,Islanders1 | RECAP | |||||||||||
| 2025-12-07 | @ | Islanders3,Lightning2 (OT) | RECAP | |||||||||||
| 2025-12-08 | @ | Islanders3,Panthers2 | RECAP | |||||||||||
| 2025-12-10 | @ | Golden Knights4,Islanders0 | RECAP | |||||||||||
| 2025-12-12 | @ | Ducks1,Islanders2 (OT) | RECAP | |||||||||||
| 2025-12-14 | @ | Lightning2,Islanders0 | RECAP | |||||||||||
| 2025-12-17 | @ | Islanders0,Red Wings3 | RECAP | |||||||||||
| 2025-12-20 | @ | Canucks1,Islanders2 (OT) | RECAP | |||||||||||
| 2025-12-21 | @ | Islanders1,Sabres4 | RECAP | |||||||||||
| 2025-12-24 | @ | Devils4,Islanders3 | RECAP | |||||||||||
| 2025-12-28 | @ | Rangers0,Islanders1 | RECAP | |||||||||||
| 2025-12-29 | @ | Islanders0,Blue Jackets2 | RECAP | |||||||||||
| 2025-12-31 | @ | Islanders4,Blackhawks2 | RECAP | |||||||||||
| 2026-01-02 | @ | Mammoth5,Islanders4 | RECAP | |||||||||||
| 2026-01-04 | @ | Maple Leafs2,Islanders4 | RECAP | |||||||||||
| 2026-01-07 | @ | Devils4,Islanders1 | RECAP | |||||||||||
| 2026-01-09 | @ | Islanders1,Predators2 | RECAP | |||||||||||
| 2026-01-11 | @ | Islanders2,Wild6 | RECAP | |||||||||||
| 2026-01-14 | @ | Islanders4,Jets0 | RECAP | |||||||||||
| 2026-01-16 | @ | Islanders4,Oilers5 | RECAP | |||||||||||
| 2026-01-18 | @ | Islanders4,Flames1 | RECAP | |||||||||||
| 2026-01-20 | @ | Islanders2,Canucks4 | RECAP | |||||||||||
| 2026-01-22 | @ | Islanders0,Kraken1 | RECAP | |||||||||||
| 2026-01-25 | @ | Sabres2,Islanders3 | RECAP | |||||||||||
| 2026-01-27 | @ | Islanders2,Flyers4 | RECAP | |||||||||||
| 2026-01-29 | @ | Rangers2,Islanders3 | RECAP | |||||||||||
| 2026-01-30 | @ | Islanders0,Rangers5 | RECAP | |||||||||||
| 2026-02-01 | @ | Predators7,Islanders2 | RECAP | |||||||||||
| 2026-02-03 | @ | Islanders7,Capitals4 | RECAP | |||||||||||
| 2026-02-04 | @ | Penguins2,Islanders0 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 76,644,167$ | 0$ | 76,499,813$ | 18,855,833$ |
| 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 | 161546 | 132102 | 54653 | 108620 | 26622 |
| Attendance PCT | 92.84% | 91.10% | 94.23% | 93.64% | 91.80% |
| Income | |||||
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 12 | 16674 - 92.63% | 1,525,638$ | 44,243,516$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 76,644,167$ | 76,644,167$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 60,110,741$ | 399,188$ | 59,334,729$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 18,307,662$ | 43 | 404,397$ | 17,389,071$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 18,015,085$ | 76,644,167$ | 70,097,065$ | 70,389,642$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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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| 2026 | ||||||||
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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 |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Adam Kleber | 2024 | 68 | |||
| Albin Sundsvik | |||||
| Benjamin Baumgartner | |||||
| Cole McKinney | 2025 | 42 | |||
| Connor Kelley | 2021 | 221 | |||
| Eddie Genborg | 2025 | 48 | |||
| Francesco Dell'elce | 2025 | 74 | |||
| James Hagens | 2025 | 6 | |||
| Jeremy Hanzel | 2023 | 176 | |||
| Jesse Nurmi | 2023 | 114 | |||
| Justin Carbonneau | 2025 | 12 | |||
| Mason Moe | 2025 | 83 | |||
| Mathis Rousseau | 2023 | 213 | |||
| Michael Fisher | 2022 | 85 | |||
| Michal Pradel | 2025 | 84 | |||
| Mikhail Yegorov | 2024 | 77 | |||
| Oliver Suni | 2020 | 103 | |||
| Vojtech Hradec | 2024 | 186 | |||
| Voljtech Cihar | 2025 | 61 | |||
| Will McIsaac | 2024 | 159 |
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