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| New York Islanders 20-32-3, 43pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jaden Schwartz | 0 | LW | 100.00 | 63 | 32 | 89 | 69 | 70 | 84 | 87 | 68 | 61 | 68 | 76 | 63 | 72 | 82 | 81 | 0 | 33 | 80 | 33 | 6,000,000$/1yrs | |||
Nick Foligno | 0 | C/LW/RW | 100.00 | 85 | 49 | 77 | 63 | 81 | 81 | 85 | 64 | 80 | 67 | 66 | 75 | 65 | 90 | 94 | 0 | 36 | 79 | 38 | 4,500,000$/1yrs | |||
Victor Olofsson | 0 | LW/RW | 100.00 | 59 | 32 | 92 | 67 | 70 | 78 | 85 | 65 | 58 | 67 | 70 | 53 | 68 | 76 | 75 | 0 | 34 | 76 | 30 | 4,675,000$/1yrs | |||
Nic Dowd | 0 | C/RW | 100.00 | 75 | 35 | 75 | 58 | 76 | 80 | 89 | 60 | 84 | 62 | 64 | 80 | 62 | 85 | 83 | 0 | 34 | 76 | 35 | 3,000,000$/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 | 19 | 75 | 33 | 3,750,000$/1yrs | |||
Adam Erne | 73 | LW/RW | 100.00 | 92 | 33 | 95 | 60 | 83 | 71 | 68 | 59 | 59 | 56 | 67 | 61 | 63 | 76 | 76 | 0 | 19 | 74 | 30 | 1,500,000$/1yrs | |||
Danton Heinen | 0 | LW/RW | 100.00 | 69 | 35 | 85 | 62 | 75 | 77 | 84 | 59 | 59 | 65 | 61 | 65 | 60 | 76 | 75 | 0 | 30 | 74 | 30 | 3,000,000$/2yrs | |||
Max Domi | 0 | C/LW/RW | 100.00 | 60 | 41 | 71 | 65 | 73 | 78 | 88 | 60 | 79 | 70 | 61 | 56 | 60 | 77 | 74 | 0 | 36 | 74 | 30 | 6,000,000$/1yrs | |||
Jakob Pelletier | 0 | C/LW | 100.00 | 67 | 31 | 92 | 65 | 64 | 74 | 76 | 61 | 60 | 65 | 64 | 61 | 62 | 66 | 65 | 0 | 46 | 74 | 24 | 900,000$/2yrs | |||
Mitchell Chaffee | 0 | RW | 100.00 | 80 | 36 | 88 | 56 | 79 | 74 | 80 | 58 | 59 | 57 | 65 | 55 | 62 | 71 | 70 | 0 | 34 | 71 | 28 | 775,000$/2yrs | |||
Reese Johnson | 17 | RW | 100.00 | 72 | 40 | 71 | 54 | 76 | 64 | 83 | 63 | 41 | 55 | 54 | 66 | 54 | 66 | 63 | 0 | 37 | 69 | 27 | 800,000$/1yrs | |||
Ryan Lomberg | 0 | C/LW | 100.00 | 78 | 56 | 69 | 55 | 70 | 69 | 89 | 55 | 59 | 58 | 57 | 56 | 56 | 77 | 74 | 0 | 29 | 69 | 31 | 1,000,000$/2yrs | |||
Alex Pietrangelo | 0 | D | 100.00 | 62 | 34 | 92 | 69 | 86 | 92 | 80 | 64 | 30 | 73 | 58 | 76 | 61 | 86 | 97 | 0 | 29 | 83 | 36 | 9,000,000$/3yrs | |||
Matt Grzelcyk | 0 | D | 100.00 | 61 | 32 | 90 | 65 | 67 | 87 | 90 | 60 | 30 | 72 | 52 | 62 | 56 | 79 | 78 | 0 | 34 | 77 | 32 | 4,250,000$/1yrs | |||
John Klingberg | 0 | D | 100.00 | 63 | 33 | 80 | 63 | 78 | 88 | 74 | 53 | 30 | 66 | 73 | 58 | 63 | 81 | 79 | 0 | 31 | 76 | 33 | 6,500,000$/2yrs | |||
Erik Gudbranson | 44 | D | 100.00 | 74 | 34 | 79 | 55 | 91 | 83 | 69 | 57 | 30 | 63 | 50 | 71 | 54 | 82 | 80 | 0 | 35 | 75 | 34 | 4,000,000$/3yrs | |||
Olen Zellweger | 0 | D | 100.00 | 62 | 32 | 86 | 59 | 66 | 86 | 86 | 54 | 30 | 65 | 63 | 57 | 59 | 62 | 60 | 0 | 34 | 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 | |||
Oliver Wahlstrom | 0 | RW | 100.00 | 65 | 51 | 71 | 56 | 81 | 72 | 74 | 55 | 63 | 56 | 58 | 60 | 57 | 67 | 64 | 0 | 23 | 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$/1yrs | |||
| TEAM AVERAGE | 100.00 | 68 | 36 | 84 | 61 | 75 | 80 | 80 | 59 | 55 | 63 | 61 | 63 | 61 | 78 | 77 | 0 | 28 | 74 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Charlie Lindgren | 5 | 100.00 | 83 | 85 | 76 | 74 | 82 | 72 | 83 | 89 | 77 | 89 | 83 | 79 | 83 | 0 | 33 | 85 | 32 | 4,000,000$/4yrs |
Laurent Brossoit | 0 | 97.00 | 76 | 68 | 69 | 87 | 87 | 77 | 85 | 85 | 84 | 87 | 85 | 79 | 83 | 0 | 38 | 85 | 32 | 3,000,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.50 | 80 | 77 | 73 | 81 | 85 | 75 | 84 | 87 | 81 | 88 | 84 | 79 | 83 | 0 | 36 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Hynes | 75 | 78 | 78 | 83 | 77 | 82 | 78 | USA | 49 | 4 | 1,000,000$ |
| 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 | 55 | 17 | 27 | 44 | -7 | 69 | 5 | 188 | 194 | 51 | 155 | 8.76% | 30 | 21.35 | 4 | 10 | 14 | 171 | 0 | 0 | 0 | 120 | 6 | 0 | 52.04% | 1616 | 0 | 0 | 0 | 0 | 0.75 | 2 | 3 | |
| 2 | Jaden Schwartz | 0 | LW | 54 | 16 | 22 | 38 | -7 | 6 | 0 | 25 | 175 | 62 | 122 | 9.14% | 9 | 21.70 | 5 | 4 | 9 | 167 | 0 | 0 | 0 | 127 | 2 | 1 | 41.49% | 94 | 0 | 0 | 0 | 0 | 0.65 | 0 | 3 | |
| 3 | Erik Gudbranson | 44 | D | 55 | 8 | 29 | 37 | -7 | 71 | 5 | 130 | 101 | 31 | 67 | 7.92% | 109 | 24.30 | 5 | 7 | 12 | 170 | 0 | 0 | 0 | 164 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 4 | Alex Pietrangelo | 0 | D | 54 | 4 | 21 | 25 | -10 | 36 | 0 | 57 | 62 | 26 | 47 | 6.45% | 90 | 20.68 | 3 | 3 | 6 | 89 | 0 | 0 | 0 | 147 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 5 | Max Domi | 0 | C/LW/RW | 55 | 8 | 16 | 24 | -3 | 26 | 10 | 98 | 122 | 33 | 80 | 6.56% | 8 | 18.53 | 1 | 4 | 5 | 150 | 0 | 0 | 0 | 89 | 0 | 0 | 48.70% | 1078 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 6 | Danton Heinen | 0 | LW/RW | 55 | 8 | 15 | 23 | -5 | 37 | 5 | 74 | 138 | 51 | 104 | 5.80% | 13 | 19.50 | 1 | 6 | 7 | 149 | 0 | 0 | 0 | 132 | 2 | 1 | 40.28% | 144 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 7 | Matt Grzelcyk | 0 | D | 55 | 3 | 17 | 20 | 2 | 56 | 0 | 68 | 55 | 21 | 41 | 5.45% | 80 | 21.61 | 2 | 3 | 5 | 151 | 0 | 0 | 0 | 141 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 8 | John Klingberg | 0 | D | 55 | 5 | 13 | 18 | 2 | 63 | 5 | 141 | 42 | 11 | 28 | 11.90% | 82 | 22.01 | 1 | 5 | 6 | 151 | 0 | 0 | 0 | 167 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 9 | Victor Olofsson | 0 | LW/RW | 55 | 4 | 12 | 16 | -13 | 10 | 0 | 6 | 100 | 31 | 55 | 4.00% | 5 | 15.94 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 4 | 2 | 0 | 43.14% | 51 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 10 | Nic Dowd | 0 | C/RW | 55 | 8 | 6 | 14 | -18 | 10 | 0 | 35 | 113 | 36 | 84 | 7.08% | 13 | 11.76 | 4 | 4 | 8 | 114 | 0 | 0 | 0 | 93 | 1 | 2 | 51.78% | 676 | 0 | 0 | 0 | 0 | 0.43 | 0 | 1 | |
| 11 | Vladislav Namestnikov | 0 | C/LW/RW | 44 | 7 | 6 | 13 | -5 | 4 | 0 | 27 | 76 | 31 | 55 | 9.21% | 7 | 12.50 | 0 | 0 | 0 | 38 | 0 | 0 | 0 | 28 | 0 | 2 | 42.19% | 128 | 0 | 0 | 0 | 0 | 0.47 | 1 | 2 | |
| 12 | Jakob Pelletier | 0 | C/LW | 44 | 6 | 7 | 13 | 2 | 14 | 0 | 24 | 61 | 11 | 39 | 9.84% | 5 | 13.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.89% | 36 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 13 | Olen Zellweger | 0 | D | 55 | 4 | 5 | 9 | -27 | 24 | 0 | 87 | 37 | 11 | 29 | 10.81% | 57 | 17.26 | 1 | 0 | 1 | 91 | 0 | 0 | 0 | 126 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| 14 | Mitchell Chaffee | 0 | RW | 55 | 3 | 4 | 7 | -18 | 6 | 0 | 13 | 36 | 17 | 38 | 8.33% | 3 | 7.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 40.00% | 30 | 0 | 0 | 0 | 0 | 0.33 | 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 | Justin Holl | 0 | D | 41 | 1 | 4 | 5 | -23 | 24 | 0 | 46 | 19 | 0 | 8 | 5.26% | 31 | 15.12 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
| 17 | Adam Erne | 73 | LW/RW | 37 | 2 | 2 | 4 | 0 | 11 | 5 | 36 | 29 | 6 | 20 | 6.90% | 2 | 10.78 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 30 | 0 | 0 | 62.50% | 24 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 18 | Ryan Lomberg | 0 | C/LW | 45 | 2 | 2 | 4 | -2 | 14 | 0 | 51 | 28 | 12 | 19 | 7.14% | 3 | 13.07 | 0 | 0 | 0 | 102 | 0 | 0 | 0 | 90 | 1 | 0 | 39.58% | 624 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| 19 | 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 | |
| 20 | Reese Johnson | 17 | RW | 55 | 0 | 2 | 2 | -18 | 16 | 0 | 50 | 36 | 19 | 36 | 0.00% | 0 | 7.67 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 46.15% | 26 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | |
| Team Total or Average | 982 | 110 | 215 | 325 | -162 | 503 | 35 | 1188 | 1470 | 468 | 1045 | 7.48% | 566 | 16.32 | 27 | 47 | 74 | 1568 | 0 | 0 | 0 | 1479 | 17 | 8 | 48.27% | 4554 | 0 | 0 | 0 | 0 | 0.41 | 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 | 29 | 11 | 15 | 1 | 0.913 | 2.88 | 1688 | 0 | 1 | 81 | 935 | 0 | 0 | 0 | 0.000 | 0 | 27 | 26 | 3 | 2 | 0 | |
| 2 | Charlie Lindgren | 29 | 9 | 17 | 2 | 0.913 | 3.12 | 1633 | 4 | 1 | 85 | 973 | 0 | 0 | 0 | 0.800 | 10 | 28 | 27 | 5 | 1 | 0 | |
| Team Total or Average | 58 | 20 | 32 | 3 | 0.913 | 3.00 | 3322 | 4 | 2 | 166 | 1908 | 0 | 0 | 0 | 0.800 | 10 | 55 | 53 | 8 | 3 | 0 |
| Projected Total Cap Hit | 76,749,843$ |
| Projected Cap Space | 18,750,157$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 46,824,465$ |
| Players In Salary Cap | 27 |
| LTIR Players | 0 |
| 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 | 30 | 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 | 27 | 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 | 25 | 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 | 23 | 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 | 26 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 70 | 46 | 72 | 20 | 37 | 18 | 28.6% | 6.9% | 89.8% | 96.7 | Unlucky | |
| 3 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 3 | 0 | 70 | 25 | 20 | 25 | 0 | 93 | 16 | 32 | 77 | 13 | 1 | 7.69% | 16 | 5 | 68.75% | 0 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 72 | 49 | 68 | 23 | 39 | 19 | 45.5% | 8.6% | 88.2% | 96.7 | Unlucky | |
| 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 67 | 46 | 76 | 22 | 39 | 19 | 27.3% | 6.9% | 91.2% | 98.2 | DULL | |
| 9 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 9 | 11 | -2 | 3 | 0.500 | 9 | 16 | 25 | 0 | 0 | 0 | 7 | 1 | 2 | 93 | 25 | 37 | 22 | 15 | 111 | 33 | 28 | 68 | 16 | 3 | 18.75% | 14 | 2 | 85.71% | 0 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 77 | 54 | 72 | 22 | 39 | 20 | 40.0% | 9.7% | 90.1% | 99.8 | FUN | |
| 10 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 39 | 25 | 55 | 16 | 25 | 10 | 46.2% | 10.7% | 86.9% | 97.6 | FUN | |
| 11 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 44 | 29 | 51 | 16 | 25 | 12 | 42.9% | 6.7% | 91.9% | 98.6 | DULL | |
| 12 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 40 | 26 | 52 | 15 | 26 | 11 | 25.0% | 7.5% | 88.3% | 95.8 | Unlucky | |
| 13 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 73 | 48 | 65 | 23 | 40 | 21 | 33.3% | 5.1% | 89.7% | 94.8 | Unlucky | |
| 14 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 42 | 26 | 51 | 15 | 26 | 13 | 46.2% | 12.0% | 88.0% | 100.0 | FUN | |
| 15 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 17 | 12 | 29 | 7 | 12 | 5 | 50.0% | 16.7% | 94.1% | 110.8 | LUCKY | |
| 16 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 44 | 28 | 53 | 16 | 26 | 12 | 44.4% | 13.3% | 91.0% | 104.3 | FUN | |
| 17 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 66 | 44 | 75 | 20 | 37 | 19 | 50.0% | 6.7% | 92.4% | 99.0 | DULL | |
| 18 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 42 | 27 | 51 | 14 | 26 | 12 | 37.5% | 7.3% | 90.6% | 97.9 | Unlucky | |
| 19 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 24 | 16 | 20 | 8 | 14 | 7 | 50.0% | 12.1% | 91.7% | 103.8 | LUCKY | |
| 20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 29 | 6 | 8 | 15 | 0 | 32 | 9 | 10 | 22 | 11 | 1 | 9.09% | 5 | 1 | 80.00% | 0 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 23 | 15 | 23 | 8 | 12 | 6 | 66.7% | 10.3% | 93.8% | 104.1 | LUCKY | |
| 21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 43 | 11 | 13 | 19 | 0 | 79 | 32 | 14 | 45 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 41 | 26 | 52 | 15 | 26 | 12 | 20.0% | 2.3% | 93.7% | 96.0 | DULL | |
| 22 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 52 | 36 | 45 | 14 | 26 | 13 | 70.0% | 13.2% | 93.9% | 107.2 | LUCKY | |
| 23 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 0 | 1 | 29 | 12 | 10 | 5 | 2 | 28 | 9 | 11 | 14 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 24 | 17 | 24 | 7 | 12 | 6 | 100.0% | 6.9% | 96.4% | 103.3 | DULL | |
| 24 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 24 | 18 | 26 | 6 | 10 | 5 | 50.0% | 14.7% | 89.2% | 103.9 | FUN | |
| 25 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 24 | 17 | 21 | 6 | 13 | 7 | 60.0% | 8.7% | 93.1% | 101.8 | DULL | |
| 26 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 38 | 20 | 9 | 9 | 0 | 51 | 10 | 8 | 23 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 21 | 14 | 26 | 7 | 11 | 5 | 20.0% | 7.9% | 92.2% | 100.1 | DULL | |
| 27 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 24 | 16 | 23 | 6 | 12 | 6 | 37.5% | 12.5% | 85.3% | 97.8 | FUN | |
| 28 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 45 | 29 | 48 | 14 | 25 | 12 | 20.0% | 1.6% | 87.5% | 89.1 | Unlucky | |
| 29 | 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 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 45 | 31 | 50 | 15 | 24 | 12 | 66.7% | 8.0% | 95.5% | 103.5 | DULL | |
| _Vs Division | 17 | 3 | 11 | 0 | 0 | 1 | 1 | 1 | 33 | 55 | -22 | 10 | 0.294 | 33 | 61 | 94 | 0 | 1 | 12 | 14 | 6 | 2 | 468 | 159 | 145 | 155 | 15 | 648 | 182 | 156 | 398 | 57 | 8 | 14.04% | 71 | 14 | 80.28% | 0 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 389 | 263 | 425 | 126 | 215 | 105 | 37.9% | 7.1% | 91.5% | 98.6 | DULL | |
| _Vs Conference | 31 | 7 | 19 | 0 | 2 | 1 | 1 | 1 | 60 | 92 | -32 | 22 | 0.355 | 60 | 108 | 168 | 0 | 1 | 22 | 22 | 13 | 4 | 861 | 288 | 263 | 294 | 22 | 1071 | 324 | 268 | 701 | 107 | 17 | 15.89% | 121 | 24 | 80.17% | 0 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 709 | 477 | 764 | 230 | 399 | 197 | 38.7% | 7.0% | 91.4% | 98.4 | DULL | |
| _Since Last GM Reset | 55 | 13 | 32 | 0 | 5 | 2 | 2 | 1 | 124 | 167 | -43 | 43 | 0.391 | 124 | 221 | 345 | 0 | 2 | 42 | 45 | 30 | 8 | 1515 | 503 | 464 | 514 | 43 | 1908 | 562 | 511 | 1218 | 191 | 30 | 15.71% | 218 | 43 | 80.28% | 0 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 1247 | 838 | 1372 | 415 | 709 | 347 | 43.1% | 8.2% | 91.2% | 99.4 | DULL | |
| Total | 55 | 13 | 32 | 0 | 5 | 2 | 2 | 1 | 124 | 167 | -43 | 43 | 0.391 | 124 | 221 | 345 | 0 | 2 | 42 | 45 | 30 | 8 | 1515 | 503 | 464 | 514 | 43 | 1908 | 562 | 511 | 1218 | 191 | 30 | 15.71% | 218 | 43 | 80.28% | 0 | 880 | 1791 | 49.13% | 1032 | 2098 | 49.19% | 399 | 818 | 48.78% | 1247 | 838 | 1372 | 415 | 709 | 347 | 43.1% | 8.2% | 91.2% | 99.4 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1791 |
| Neutral Zone Start | 818 |
| Defensive Zone Start | 2098 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2311 |
| Faceoffs Lost | 2396 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.1 | 9.57 |
| 2nd Period | 17.6 | 20.31 |
| 3rd Period | 26.9 | 30.68 |
| Overtime | 27.7 | 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 | 2.1 | 2.67 |
| Overtime | 2.3 | 2.83 |
| Even Strenght Goal | 94 |
|---|---|
| PP Goal | 30 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 11 | 9 |
| Lost | 16 | 16 |
| Overtime Lost | 0 | 3 |
| PP Attempt | 191 |
|---|---|
| PP Goal | 30 |
| PK Attempt | 218 |
| PK Goal Against | 43 |
| Home | |
|---|---|
| Shots For | 27.5 |
| Shots Against | 34.7 |
| Goals For | 2.3 |
| Goals Against | 3.0 |
| Hits | 22.1 |
| Shots Blocked | 10.2 |
| 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 | @ | |||||||||||||
| 2026-02-04 | @ | |||||||||||||
| 2026-02-06 | @ | |||||||||||||
| 2026-02-27 | @ | |||||||||||||
| 2026-03-01 | @ | |||||||||||||
| 2026-03-02 | @ | |||||||||||||
| 2026-03-05 | @ | |||||||||||||
| 2026-03-06 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 77,644,167$ | 0$ | 76,749,843$ | 17,855,833$ |
| 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 | 150143 | 122572 | 51057 | 101148 | 24952 |
| Attendance PCT | 92.68% | 90.79% | 94.55% | 93.66% | 92.41% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 14 | 16662 - 92.57% | 1,525,079$ | 41,177,128$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 77,644,167$ | 77,644,167$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 47,439,027$ | 404,397$ | 46,824,465$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 21,351,103$ | 74 | 409,605$ | 30,310,770$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 31,562,798$ | 77,644,167$ | 80,326,650$ | 70,114,955$ |
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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