|
|
|
|
|
|
|
|
|
Full Scoreboard »» |
| New York Islanders 16-26-3, 35pts · 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 | 34 | 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 | 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 | 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$/2yrs | |||
Mitchell Chaffee | 0 | RW | 100.00 | 80 | 36 | 88 | 56 | 79 | 74 | 80 | 58 | 59 | 57 | 65 | 55 | 62 | 71 | 70 | 0 | 34 | 71 | 27 | 775,000$/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$/1yrs | |||
Ryan Lomberg | 0 | C/LW | 100.00 | 78 | 56 | 69 | 55 | 70 | 69 | 89 | 55 | 59 | 58 | 57 | 56 | 56 | 77 | 74 | 0 | 30 | 69 | 31 | 1,000,000$/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 | 35 | 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 | 32 | 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$/1yrs | |||
Justin Holl | 0 | D | 100.00 | 61 | 33 | 92 | 55 | 80 | 79 | 80 | 50 | 30 | 57 | 54 | 59 | 52 | 82 | 81 | 0 | 18 | 70 | 33 | 2,700,000$/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 | 33 | 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 | 21 | 70 | 35 | 6,250,000$/1yrs | |||
| TEAM AVERAGE | 100.00 | 68 | 36 | 84 | 61 | 75 | 80 | 80 | 59 | 55 | 63 | 61 | 63 | 61 | 78 | 77 | 0 | 29 | 74 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Charlie Lindgren | 5 | 100.00 | 83 | 85 | 76 | 74 | 82 | 72 | 83 | 89 | 77 | 89 | 83 | 79 | 83 | 0 | 37 | 85 | 32 | 4,000,000$/4yrs |
Laurent Brossoit | 0 | 100.00 | 76 | 68 | 69 | 87 | 87 | 77 | 85 | 85 | 84 | 87 | 85 | 79 | 83 | 0 | 36 | 85 | 32 | 3,000,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 80 | 77 | 73 | 81 | 85 | 75 | 84 | 87 | 81 | 88 | 84 | 79 | 83 | 0 | 37 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Hynes | 75 | 78 | 78 | 83 | 77 | 82 | 78 | USA | 49 | 4 | 1,000,000$ |
| 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 | Erik Gudbranson | 44 | D | 45 | 8 | 27 | 35 | -3 | 53 | 5 | 97 | 91 | 25 | 55 | 8.79% | 93 | 24.52 | 5 | 7 | 12 | 149 | 0 | 0 | 0 | 137 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 2 | Nick Foligno | 0 | C/LW/RW | 45 | 13 | 21 | 34 | -7 | 53 | 5 | 153 | 162 | 43 | 129 | 8.02% | 23 | 21.82 | 4 | 8 | 12 | 148 | 0 | 0 | 0 | 119 | 4 | 0 | 51.16% | 1382 | 0 | 0 | 0 | 0 | 0.69 | 2 | 3 | |
| 3 | Jaden Schwartz | 0 | LW | 44 | 12 | 16 | 28 | -7 | 2 | 0 | 21 | 134 | 54 | 95 | 8.96% | 8 | 22.27 | 3 | 4 | 7 | 145 | 0 | 0 | 0 | 126 | 2 | 1 | 41.67% | 84 | 0 | 0 | 0 | 0 | 0.57 | 0 | 3 | |
| 4 | Alex Pietrangelo | 0 | D | 44 | 4 | 19 | 23 | -6 | 32 | 0 | 48 | 56 | 26 | 42 | 7.14% | 77 | 22.06 | 3 | 3 | 6 | 89 | 0 | 0 | 0 | 134 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 5 | Danton Heinen | 0 | LW/RW | 45 | 6 | 13 | 19 | -8 | 37 | 5 | 57 | 117 | 45 | 81 | 5.13% | 11 | 19.53 | 1 | 6 | 7 | 129 | 0 | 0 | 0 | 106 | 1 | 1 | 42.48% | 113 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 6 | Max Domi | 0 | C/LW/RW | 45 | 5 | 14 | 19 | -6 | 22 | 10 | 85 | 96 | 26 | 60 | 5.21% | 6 | 18.41 | 1 | 4 | 5 | 130 | 0 | 0 | 0 | 65 | 0 | 0 | 48.00% | 875 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 7 | Matt Grzelcyk | 0 | D | 45 | 3 | 12 | 15 | -4 | 52 | 0 | 50 | 53 | 19 | 32 | 5.66% | 68 | 21.51 | 2 | 3 | 5 | 131 | 0 | 0 | 0 | 112 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 8 | Nic Dowd | 0 | C/RW | 45 | 7 | 6 | 13 | -13 | 6 | 0 | 26 | 93 | 29 | 70 | 7.53% | 6 | 11.25 | 4 | 4 | 8 | 94 | 0 | 0 | 0 | 49 | 1 | 2 | 52.10% | 547 | 0 | 0 | 0 | 0 | 0.51 | 0 | 1 | |
| 9 | John Klingberg | 0 | D | 45 | 3 | 8 | 11 | -4 | 59 | 5 | 117 | 25 | 7 | 20 | 12.00% | 67 | 21.83 | 1 | 4 | 5 | 130 | 0 | 0 | 0 | 129 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 10 | Victor Olofsson | 0 | LW/RW | 45 | 2 | 9 | 11 | -13 | 6 | 0 | 4 | 73 | 24 | 42 | 2.74% | 3 | 15.71 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 4 | 1 | 0 | 42.50% | 40 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 11 | Vladislav Namestnikov | 0 | C/LW/RW | 34 | 5 | 4 | 9 | -5 | 4 | 0 | 25 | 61 | 23 | 48 | 8.20% | 6 | 13.44 | 0 | 0 | 0 | 38 | 0 | 0 | 0 | 28 | 0 | 1 | 41.80% | 122 | 0 | 0 | 0 | 0 | 0.39 | 1 | 2 | |
| 12 | Jakob Pelletier | 0 | C/LW | 34 | 4 | 4 | 8 | -1 | 14 | 0 | 15 | 43 | 4 | 23 | 9.30% | 5 | 12.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.71% | 31 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 13 | Olen Zellweger | 0 | D | 45 | 3 | 5 | 8 | -22 | 14 | 0 | 61 | 29 | 11 | 24 | 10.34% | 46 | 16.93 | 1 | 0 | 1 | 69 | 0 | 0 | 0 | 93 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
| 14 | 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 | |
| 15 | Mitchell Chaffee | 0 | RW | 45 | 3 | 3 | 6 | -14 | 4 | 0 | 9 | 30 | 12 | 33 | 10.00% | 3 | 7.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 39.13% | 23 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 16 | Justin Holl | 0 | D | 31 | 1 | 3 | 4 | -20 | 22 | 0 | 39 | 14 | 0 | 4 | 7.14% | 19 | 14.06 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
| 17 | Ryan Lomberg | 0 | C/LW | 35 | 2 | 2 | 4 | -1 | 6 | 0 | 38 | 23 | 10 | 13 | 8.70% | 2 | 12.31 | 0 | 0 | 0 | 79 | 0 | 0 | 0 | 52 | 1 | 0 | 38.66% | 432 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| 18 | Adam Erne | 73 | LW/RW | 27 | 1 | 2 | 3 | 0 | 11 | 5 | 25 | 18 | 4 | 11 | 5.56% | 1 | 10.99 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 22 | 0 | 0 | 56.25% | 16 | 0 | 0 | 0 | 0 | 0.20 | 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 | 45 | 0 | 2 | 2 | -14 | 16 | 0 | 45 | 32 | 14 | 28 | 0.00% | 0 | 7.74 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 58.82% | 17 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
| Team Total or Average | 802 | 86 | 175 | 261 | -153 | 419 | 35 | 947 | 1196 | 384 | 828 | 7.19% | 463 | 16.33 | 25 | 44 | 69 | 1355 | 0 | 0 | 0 | 1197 | 13 | 7 | 47.96% | 3709 | 0 | 0 | 0 | 0 | 0.40 | 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 | 24 | 9 | 13 | 1 | 0.916 | 2.76 | 1412 | 0 | 1 | 65 | 774 | 0 | 0 | 0 | 0.000 | 0 | 23 | 20 | 3 | 2 | 0 | |
| 2 | Charlie Lindgren | 23 | 7 | 13 | 2 | 0.909 | 3.21 | 1310 | 4 | 0 | 70 | 773 | 0 | 0 | 0 | 0.800 | 10 | 22 | 23 | 3 | 0 | 0 | |
| Team Total or Average | 47 | 16 | 26 | 3 | 0.913 | 2.98 | 2722 | 4 | 1 | 135 | 1547 | 0 | 0 | 0 | 0.800 | 10 | 45 | 43 | 6 | 2 | 0 |
| Projected Total Cap Hit | 76,786,302$ |
| Projected Cap Space | 18,713,698$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 38,772,984$ |
| 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 | 35 | 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 | 33 | 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 | 27 | 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 | 19 | 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 | 25 | 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 |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
| |||||
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
| ||||||
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 62 | 23 | 22 | 17 | 0 | 95 | 26 | 18 | 41 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 45 | 30 | 49 | 14 | 24 | 12 | 30.0% | 6.5% | 90.5% | 97.0 | Unlucky | |
| 2 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 72 | 49 | 68 | 23 | 39 | 19 | 45.5% | 8.6% | 88.2% | 96.7 | Unlucky | |
| 3 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 22 | 14 | 24 | 7 | 13 | 6 | 0.0% | 4.3% | 88.2% | 92.6 | Unlucky | |
| 4 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 21 | 15 | 26 | 6 | 11 | 5 | 50.0% | 8.7% | 92.7% | 101.4 | DULL | |
| 5 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 42 | 28 | 52 | 15 | 25 | 12 | 60.0% | 6.0% | 94.3% | 100.3 | DULL | |
| 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 6 | 9 | 0 | 1 | 0 | 2 | 1 | 0 | 53 | 20 | 14 | 19 | 0 | 62 | 23 | 26 | 46 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 40 | 25 | 53 | 15 | 25 | 11 | 75.0% | 5.7% | 98.4% | 104.0 | DULL | |
| 7 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 67 | 46 | 76 | 22 | 39 | 19 | 27.3% | 6.9% | 91.2% | 98.2 | DULL | |
| 8 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 77 | 54 | 72 | 22 | 39 | 20 | 40.0% | 9.7% | 90.1% | 99.8 | FUN | |
| 9 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 39 | 25 | 55 | 16 | 25 | 10 | 46.2% | 10.7% | 86.9% | 97.6 | FUN | |
| 10 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 1 | 1 | 32 | 6 | 8 | 14 | 4 | 26 | 14 | 8 | 22 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 22 | 14 | 25 | 8 | 13 | 6 | 50.0% | 6.3% | 96.2% | 102.4 | DULL | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 22 | 8 | 9 | 5 | 0 | 43 | 8 | 21 | 19 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 18 | 11 | 29 | 8 | 12 | 5 | 33.3% | 4.5% | 95.3% | 99.9 | DULL | |
| 12 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 73 | 48 | 65 | 23 | 40 | 21 | 33.3% | 5.1% | 89.7% | 94.8 | Unlucky | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 24 | 11 | 6 | 7 | 0 | 39 | 5 | 8 | 17 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 21 | 12 | 24 | 7 | 13 | 7 | 28.6% | 8.3% | 87.2% | 95.5 | Unlucky | |
| 14 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 17 | 12 | 29 | 7 | 12 | 5 | 50.0% | 16.7% | 94.1% | 110.8 | LUCKY | |
| 15 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 44 | 28 | 53 | 16 | 26 | 12 | 44.4% | 13.3% | 91.0% | 104.3 | FUN | |
| 16 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 66 | 44 | 75 | 20 | 37 | 19 | 50.0% | 6.7% | 92.4% | 99.0 | DULL | |
| 17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 25 | 13 | 3 | 9 | 0 | 37 | 19 | 6 | 21 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 20 | 13 | 26 | 6 | 12 | 5 | 0.0% | 4.0% | 89.2% | 93.2 | Unlucky | |
| 18 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 24 | 16 | 20 | 8 | 14 | 7 | 50.0% | 12.1% | 91.7% | 103.8 | LUCKY | |
| 19 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 23 | 15 | 23 | 8 | 12 | 6 | 66.7% | 10.3% | 93.8% | 104.1 | LUCKY | |
| 20 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 41 | 26 | 52 | 15 | 26 | 12 | 20.0% | 2.3% | 93.7% | 96.0 | DULL | |
| 21 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 32 | 11 | 7 | 10 | 7 | 33 | 12 | 8 | 26 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 28 | 20 | 23 | 7 | 13 | 6 | 50.0% | 15.6% | 87.9% | 103.5 | FUN | |
| 22 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 24 | 17 | 24 | 7 | 12 | 6 | 100.0% | 6.9% | 96.4% | 103.3 | DULL | |
| 23 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 24 | 18 | 26 | 6 | 10 | 5 | 50.0% | 14.7% | 89.2% | 103.9 | FUN | |
| 24 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 24 | 17 | 21 | 6 | 13 | 7 | 60.0% | 8.7% | 93.1% | 101.8 | DULL | |
| 25 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 21 | 14 | 26 | 7 | 11 | 5 | 20.0% | 7.9% | 92.2% | 100.1 | DULL | |
| 26 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 24 | 16 | 23 | 6 | 12 | 6 | 37.5% | 12.5% | 85.3% | 97.8 | FUN | |
| 27 | 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 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 45 | 29 | 48 | 14 | 25 | 12 | 20.0% | 1.6% | 87.5% | 89.1 | Unlucky | |
| 28 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 26 | 7 | 6 | 13 | 0 | 30 | 7 | 8 | 28 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 25 | 17 | 23 | 6 | 11 | 6 | 80.0% | 15.4% | 93.3% | 108.7 | LUCKY | |
| _Vs Division | 14 | 2 | 9 | 0 | 0 | 1 | 1 | 1 | 28 | 44 | -16 | 8 | 0.286 | 28 | 53 | 81 | 0 | 1 | 7 | 14 | 6 | 2 | 382 | 127 | 123 | 123 | 15 | 532 | 151 | 132 | 316 | 47 | 7 | 14.89% | 59 | 11 | 81.36% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 321 | 216 | 349 | 105 | 179 | 87 | 38.9% | 7.3% | 91.7% | 99.1 | DULL | |
| _Vs Conference | 27 | 5 | 17 | 0 | 2 | 1 | 1 | 1 | 52 | 79 | -27 | 18 | 0.333 | 52 | 96 | 148 | 0 | 1 | 16 | 21 | 12 | 4 | 745 | 241 | 235 | 253 | 22 | 928 | 273 | 238 | 597 | 96 | 16 | 16.67% | 106 | 21 | 80.19% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 620 | 416 | 663 | 202 | 350 | 173 | 38.3% | 7.0% | 91.5% | 98.5 | DULL | |
| _Since Last GM Reset | 45 | 9 | 26 | 0 | 5 | 2 | 2 | 1 | 100 | 136 | -36 | 35 | 0.389 | 100 | 181 | 281 | 0 | 1 | 29 | 39 | 25 | 8 | 1241 | 397 | 390 | 420 | 43 | 1547 | 459 | 427 | 977 | 168 | 28 | 16.67% | 178 | 36 | 79.78% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 1022 | 686 | 1125 | 340 | 580 | 285 | 41.9% | 8.1% | 91.2% | 99.3 | DULL | |
| Total | 45 | 9 | 26 | 0 | 5 | 2 | 2 | 1 | 100 | 136 | -36 | 35 | 0.389 | 100 | 181 | 281 | 0 | 1 | 29 | 39 | 25 | 8 | 1241 | 397 | 390 | 420 | 43 | 1547 | 459 | 427 | 977 | 168 | 28 | 16.67% | 178 | 36 | 79.78% | 0 | 728 | 1481 | 49.16% | 835 | 1708 | 48.89% | 329 | 673 | 48.89% | 1022 | 686 | 1125 | 340 | 580 | 285 | 41.9% | 8.1% | 91.2% | 99.3 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1481 |
| Neutral Zone Start | 673 |
| Defensive Zone Start | 1708 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1892 |
| Faceoffs Lost | 1970 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.8 | 9.57 |
| 2nd Period | 17.5 | 20.31 |
| 3rd Period | 26.8 | 30.68 |
| Overtime | 27.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 1.5 | 1.65 |
| 3rd Period | 2.1 | 2.67 |
| Overtime | 2.2 | 2.83 |
| Even Strenght Goal | 72 |
|---|---|
| PP Goal | 28 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 9 | 7 |
| Lost | 15 | 11 |
| Overtime Lost | 0 | 3 |
| PP Attempt | 168 |
|---|---|
| PP Goal | 28 |
| PK Attempt | 178 |
| PK Goal Against | 36 |
| Home | |
|---|---|
| Shots For | 27.6 |
| Shots Against | 34.4 |
| Goals For | 2.2 |
| Goals Against | 3.0 |
| Hits | 21.7 |
| Shots Blocked | 10.2 |
| Pim | 9.5 |
| 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 | @ | |||||||||||||
| 2026-01-16 | @ | |||||||||||||
| 2026-01-18 | @ | |||||||||||||
| 2026-01-20 | @ | |||||||||||||
| 2026-01-22 | @ | |||||||||||||
| 2026-01-25 | @ | |||||||||||||
| 2026-01-27 | @ | |||||||||||||
| 2026-01-29 | @ | |||||||||||||
| 2026-01-30 | @ | |||||||||||||
| 2026-02-01 | @ | |||||||||||||
| 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! | ||||||||||||||
| 2026-03-08 | @ | |||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-14 | @ | |||||||||||||
| 2026-03-15 | @ | |||||||||||||
| 2026-03-18 | @ | |||||||||||||
| 2026-03-20 | @ | |||||||||||||
| 2026-03-22 | @ | |||||||||||||
| 2026-03-23 | @ | |||||||||||||
| 2026-03-25 | @ | |||||||||||||
| 2026-03-27 | @ | |||||||||||||
| 2026-03-29 | @ | |||||||||||||
| 2026-03-31 | @ | |||||||||||||
| 2026-04-01 | @ | |||||||||||||
| 2026-04-04 | @ | |||||||||||||
| 2026-04-05 | @ | |||||||||||||
| 2026-04-10 | @ | |||||||||||||
| 2026-04-12 | @ | |||||||||||||
| 2026-04-13 | @ | |||||||||||||
| 2026-04-15 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 77,644,167$ | 0$ | 76,786,302$ | 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 - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 133346 | 108966 | 45471 | 90379 | 22294 |
| Attendance PCT | 92.60% | 90.81% | 94.73% | 94.14% | 92.89% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 17 | 16686 - 92.70% | 1,526,542$ | 36,637,014$ | 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 |
|---|---|---|---|
| 39,283,385$ | 404,397$ | 38,772,984$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 25,951,218$ | 94 | 409,605$ | 38,502,870$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 40,158,778$ | 77,644,167$ | 84,346,058$ | 70,138,498$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
| 2027 | ||||||||
| 2028 | ||||||||
| 2029 | ||||||||
| 2030 |
| 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 |
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||

