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| New York Islanders 1-9-2, 4pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Nazem Kadri | 0 | C | 100.00 | 64 | 37 | 76 | 75 | 72 | 87 | 90 | 76 | 86 | 76 | 80 | 56 | 78 | 84 | 81 | 0 | 30 | 84 | 35 | 6,000,000$/4yrs | |||
 Nick Foligno | 0 | C/LW/RW | 98.00 | 85 | 45 | 76 | 64 | 81 | 84 | 89 | 66 | 79 | 67 | 69 | 77 | 67 | 89 | 92 | 0 | 27 | 81 | 38 | 4,500,000$/1yrs | |||
 Jaden Schwartz | 0 | LW | 98.00 | 63 | 32 | 88 | 68 | 70 | 85 | 87 | 68 | 62 | 67 | 73 | 61 | 70 | 80 | 79 | 0 | 27 | 79 | 33 | 6,000,000$/1yrs | |||
 Nic Dowd | 0 | C/RW | 100.00 | 76 | 34 | 76 | 59 | 76 | 81 | 88 | 61 | 85 | 61 | 66 | 86 | 64 | 84 | 82 | 0 | 27 | 77 | 35 | 3,000,000$/2yrs | |||
 Vladislav Namestnikov | 0 | C/LW/RW | 100.00 | 70 | 34 | 83 | 62 | 70 | 80 | 89 | 66 | 77 | 70 | 64 | 66 | 65 | 80 | 78 | 0 | 27 | 77 | 32 | 3,750,000$/1yrs | |||
 Danton Heinen | 0 | LW/RW | 100.00 | 69 | 34 | 86 | 64 | 75 | 79 | 89 | 63 | 59 | 66 | 66 | 68 | 64 | 75 | 74 | 0 | 27 | 76 | 30 | 3,000,000$/2yrs | |||
 Victor Olofsson | 0 | LW/RW | 100.00 | 60 | 32 | 93 | 64 | 70 | 77 | 82 | 64 | 56 | 64 | 68 | 54 | 66 | 75 | 74 | 0 | 27 | 75 | 30 | 4,675,000$/1yrs | |||
 Max Domi | 0 | C/LW/RW | 100.00 | 62 | 49 | 57 | 66 | 73 | 79 | 89 | 63 | 78 | 73 | 61 | 55 | 62 | 75 | 71 | 0 | 27 | 75 | 30 | 6,000,000$/1yrs | |||
 Mitchell Chaffee | 0 | RW | 100.00 | 82 | 35 | 90 | 56 | 79 | 75 | 80 | 60 | 58 | 58 | 66 | 57 | 63 | 70 | 69 | 0 | 27 | 72 | 27 | 775,000$/2yrs | |||
 Reese Johnson | 17 | RW | 100.00 | 85 | 55 | 70 | 57 | 76 | 74 | 72 | 56 | 75 | 56 | 56 | 69 | 56 | 69 | 66 | 0 | 30 | 70 | 27 | 800,000$/1yrs | |||
 Adam Erne | 73 | LW/RW | 100.00 | 87 | 44 | 89 | 55 | 83 | 68 | 69 | 53 | 71 | 54 | 56 | 58 | 54 | 75 | 74 | 0 | 26 | 69 | 30 | 1,500,000$/1yrs | |||
 Oliver Wahlstrom | 0 | RW | 100.00 | 67 | 43 | 79 | 57 | 81 | 73 | 77 | 56 | 61 | 58 | 58 | 61 | 57 | 66 | 64 | 0 | 27 | 69 | 25 | 1,200,000$/3yrs | |||
 Erik Gudbranson | 44 | D | 99.00 | 71 | 45 | 71 | 58 | 91 | 88 | 80 | 66 | 30 | 66 | 58 | 84 | 62 | 81 | 79 | 0 | 27 | 79 | 33 | 4,000,000$/3yrs | |||
 Connor Murphy | 0 | D | 100.00 | 80 | 42 | 72 | 56 | 86 | 90 | 83 | 62 | 30 | 64 | 55 | 80 | 58 | 79 | 76 | 0 | 27 | 77 | 32 | 4,400,000$/1yrs | |||
 Matt Grzelcyk | 0 | D | 100.00 | 63 | 33 | 87 | 63 | 67 | 88 | 88 | 60 | 30 | 70 | 54 | 64 | 57 | 77 | 76 | 0 | 27 | 77 | 31 | 4,250,000$/1yrs | |||
 John Klingberg | 0 | D | 100.00 | 65 | 33 | 77 | 60 | 78 | 89 | 69 | 57 | 30 | 70 | 56 | 57 | 56 | 80 | 77 | 0 | 27 | 75 | 33 | 6,500,000$/2yrs | |||
 Olen Zellweger | 0 | D | 100.00 | 62 | 32 | 90 | 60 | 66 | 88 | 79 | 55 | 30 | 65 | 62 | 59 | 58 | 60 | 59 | 0 | 27 | 73 | 22 | 844,167$/1yrs | |||
 Justin Holl | 0 | D | 100.00 | 66 | 33 | 88 | 55 | 80 | 81 | 82 | 51 | 30 | 58 | 53 | 60 | 52 | 80 | 79 | 0 | 27 | 70 | 33 | 2,700,000$/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 | 28 | 77 | 35 | 3,333,000$/2yrs | |||
 Evgeny Kuznetsov | 0 | C | 100.00 | 60 | 33 | 83 | 64 | 82 | 85 | 75 | 62 | 81 | 66 | 63 | 67 | 62 | 80 | 79 | 0 | 28 | 75 | 33 | 2,500,000$/2yrs | |||
 Alexander Barabanov | 0 | LW/RW | 100.00 | 62 | 32 | 90 | 58 | 73 | 82 | 72 | 60 | 59 | 63 | 60 | 56 | 60 | 76 | 76 | 0 | 28 | 72 | 31 | 2,000,000$/1yrs | |||
 Rasmus Kupari | 0 | C/LW/RW | 100.00 | 70 | 33 | 91 | 55 | 80 | 72 | 79 | 53 | 80 | 54 | 57 | 64 | 55 | 66 | 65 | 0 | 28 | 68 | 25 | 1,100,000$/2yrs | |||
 Marc-Edouard Vlasic | 0 | D | 100.00 | 61 | 33 | 88 | 55 | 80 | 82 | 78 | 55 | 30 | 58 | 60 | 72 | 58 | 89 | 88 | 0 | 28 | 74 | 38 | 4,000,000$/1yrs | |||
 Ryan Ellis | 0 | D | 100.00 | 57 | 32 | 80 | 60 | 68 | 93 | 60 | 60 | 30 | 52 | 52 | 60 | 79 | 81 | 81 | 0 | 28 | 70 | 34 | 6,250,000$/1yrs | |||
| TEAM AVERAGE | 99.79 | 69 | 37 | 82 | 61 | 76 | 82 | 80 | 61 | 58 | 63 | 62 | 65 | 62 | 77 | 76 | 0 | 27 | 75 | |||||||
| 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 | 98.00 | 88 | 92 | 79 | 74 | 88 | 78 | 88 | 92 | 84 | 93 | 88 | 78 | 83 | 0 | 29 | 89 | 31 | 4,000,000$/4yrs | 
 Laurent Brossoit | 0 | 98.00 | 76 | 68 | 69 | 87 | 87 | 77 | 85 | 85 | 84 | 87 | 85 | 79 | 83 | 0 | 30 | 85 | 32 | 3,000,000$/3yrs | 
| Scratches | ||||||||||||||||||||
 Sebastian Cossa | 0 | 100.00 | 75 | 77 | 72 | 92 | 61 | 77 | 76 | 75 | 77 | 76 | 76 | 64 | 65 | 0 | 38 | 79 | 22 | 863,333$/1yrs | 
| TEAM AVERAGE | 98.67 | 80 | 79 | 73 | 84 | 79 | 77 | 83 | 84 | 82 | 85 | 83 | 74 | 77 | 0 | 32 | 84 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | 
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Hynes | 75 | 78 | 78 | 83 | 77 | 82 | 78 | USA | 49 | 4 | 1,000,000$ | 
| 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 | Nazem Kadri | 0 | C | 12 | 6 | 5 | 11 | -2 | 0 | 0 | 9 | 35 | 5 | 31 | 17.14% | 0 | 13.60 | 2 | 4 | 6 | 41 | 0 | 0 | 0 | 3 | 0 | 0 | 54.74% | 137 | 0 | 0 | 0 | 0 | 1.35 | 0 | 0 | |
| 2 | Erik Gudbranson | 44 | D | 12 | 3 | 7 | 10 | -7 | 6 | 0 | 17 | 26 | 8 | 16 | 11.54% | 30 | 24.91 | 3 | 3 | 6 | 38 | 0 | 0 | 0 | 42 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
| 3 | Nick Foligno | 0 | C/LW/RW | 12 | 4 | 5 | 9 | -6 | 14 | 0 | 38 | 59 | 9 | 39 | 6.78% | 7 | 22.93 | 1 | 3 | 4 | 41 | 0 | 0 | 0 | 42 | 0 | 0 | 53.98% | 415 | 0 | 0 | 0 | 0 | 0.65 | 1 | 2 | |
| 4 | Connor Murphy | 0 | D | 12 | 2 | 5 | 7 | -7 | 14 | 0 | 25 | 15 | 10 | 16 | 13.33% | 23 | 24.55 | 1 | 3 | 4 | 38 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 5 | Jaden Schwartz | 0 | LW | 12 | 3 | 2 | 5 | -6 | 0 | 0 | 8 | 35 | 15 | 26 | 8.57% | 2 | 23.59 | 1 | 0 | 1 | 41 | 0 | 0 | 0 | 48 | 0 | 0 | 48.28% | 29 | 0 | 0 | 0 | 0 | 0.35 | 0 | 2 | |
| 6 | Victor Olofsson | 0 | LW/RW | 12 | 0 | 4 | 4 | -5 | 2 | 0 | 1 | 10 | 4 | 8 | 0.00% | 2 | 15.46 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 57.14% | 7 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 7 | Vladislav Namestnikov | 0 | C/LW/RW | 12 | 2 | 2 | 4 | -7 | 2 | 0 | 11 | 27 | 8 | 19 | 7.41% | 2 | 18.75 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 22 | 0 | 0 | 42.39% | 92 | 0 | 0 | 0 | 0 | 0.36 | 1 | 2 | |
| 8 | Danton Heinen | 0 | LW/RW | 12 | 1 | 2 | 3 | -7 | 4 | 0 | 10 | 20 | 10 | 19 | 5.00% | 2 | 19.49 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 30 | 0 | 0 | 48.39% | 31 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 9 | Justin Holl | 0 | D | 12 | 1 | 2 | 3 | -7 | 12 | 0 | 11 | 5 | 0 | 3 | 20.00% | 5 | 13.35 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 10 | Max Domi | 0 | C/LW/RW | 12 | 0 | 2 | 2 | -7 | 4 | 0 | 16 | 22 | 5 | 11 | 0.00% | 3 | 17.42 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 7 | 0 | 0 | 46.48% | 213 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| 11 | Olen Zellweger | 0 | D | 12 | 0 | 2 | 2 | -7 | 6 | 0 | 17 | 3 | 1 | 6 | 0.00% | 13 | 14.37 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 12 | John Klingberg | 0 | D | 12 | 0 | 1 | 1 | -5 | 6 | 0 | 34 | 3 | 1 | 5 | 0.00% | 22 | 22.19 | 0 | 0 | 0 | 33 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | |
| 13 | Matt Grzelcyk | 0 | D | 12 | 0 | 1 | 1 | -5 | 16 | 0 | 12 | 14 | 6 | 11 | 0.00% | 16 | 21.39 | 0 | 0 | 0 | 33 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | |
| 14 | Nic Dowd | 0 | C/RW | 12 | 1 | 0 | 1 | -4 | 0 | 0 | 1 | 18 | 8 | 15 | 5.56% | 1 | 7.99 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 52.58% | 97 | 0 | 0 | 0 | 0 | 0.21 | 0 | 1 | |
| 15 | Mitchell Chaffee | 0 | RW | 12 | 0 | 1 | 1 | -4 | 0 | 0 | 2 | 8 | 3 | 7 | 0.00% | 0 | 7.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 16 | Oliver Wahlstrom | 0 | RW | 12 | 0 | 1 | 1 | -2 | 0 | 0 | 12 | 11 | 0 | 3 | 0.00% | 0 | 9.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 17 | Adam Erne | 73 | LW/RW | 6 | 0 | 0 | 0 | -1 | 4 | 0 | 5 | 5 | 2 | 2 | 0.00% | 0 | 10.64 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 18 | Reese Johnson | 17 | RW | 12 | 0 | 0 | 0 | -4 | 4 | 0 | 11 | 12 | 3 | 8 | 0.00% | 0 | 7.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 210 | 23 | 42 | 65 | -93 | 94 | 0 | 240 | 328 | 98 | 245 | 7.01% | 128 | 16.58 | 8 | 14 | 22 | 371 | 0 | 0 | 0 | 325 | 0 | 1 | 50.87% | 1040 | 0 | 0 | 0 | 0 | 0.37 | 2 | 7 | 
| 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 | Charlie Lindgren | 7 | 1 | 4 | 2 | 0.906 | 3.49 | 430 | 0 | 0 | 25 | 265 | 0 | 0 | 0 | 0.714 | 7 | 7 | 5 | 0 | 0 | 0 | |
| 2 | Laurent Brossoit | 5 | 0 | 5 | 0 | 0.907 | 3.64 | 297 | 0 | 0 | 18 | 194 | 0 | 0 | 0 | 0.000 | 0 | 5 | 6 | 0 | 0 | 0 | |
| Team Total or Average | 12 | 1 | 9 | 2 | 0.906 | 3.55 | 727 | 0 | 0 | 43 | 459 | 0 | 0 | 0 | 0.714 | 7 | 12 | 11 | 0 | 0 | 0 | 
| Projected Total Cap Hit | 77,697,106$ | 
| Projected Cap Space | 17,802,894$ | 
| Retains And Buyout Cap Hit | 0$ | 
| Salary Cap To Date | 11,065,710$ | 
| 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 | ||||||
Alexander Barabanov ![]()  | LW/RW | 31 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Charlie Lindgren ![]()  | G | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Connor Murphy ![]()  | D | 32 | 4,400,000$ | 4,400,000$ | UFA | ||||||
Danton Heinen ![]()  | LW/RW | 30 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Erik Gudbranson ![]()  | D | 33 | 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 | ||||||
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 | 31 | 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 | |||||
Nazem Kadri ![]()  | C | 35 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 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 | 34 | 6,250,000$ | 6,250,000$ | UFA | ||||||
Sebastian Cossa    | G | 22 | 863,333$ | 863,333$ | RFA | ||||||
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 | 32 | 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 | 23 | 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$ | |||||||
Jakob Pelletier    | C/LW | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Kaleb Lawrence    | RW | 22 | 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 Schaeffer    | D | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Maxim Groshev    | LW | 23 | 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 | ||||
Samuel Bitten    | C | 25 | 775,000$ | 775,000$ | |||||||
Samuel Honzek    | LW | 20 | 950,000$ | 950,000$ | RFA | ||||||
Scott Harrington    | D | 32 | 775,000$ | 775,000$ | UFA | 
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| Priority | Type | Description | 
|---|---|---|
| 1 | | or  OR  | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar | 
| 2 |  &&  or  AND  | Logical "and". Filter the column for content that matches text from either side of the operator. | 
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) | 
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query | 
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. | 
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query | 
| 7 |  -  or  to  | Find a range of values. Make sure there is a space before and after the dash (or the word "to") | 
| 8 | ? | Wildcard for a single, non-space character. | 
| 8 | * | Wildcard for zero or more non-space characters. | 
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query | 
| 10 | text | Any text entered in the filter will match text found within the column | 
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 15 | 9 | 10 | 0 | 56 | 15 | 14 | 17 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 19 | 12 | 28 | 7 | 12 | 5 | 20.0% | 2.9% | 91.1% | 94.0 | Unlucky | |
| 2 | 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 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 22 | 14 | 24 | 7 | 13 | 6 | 0.0% | 4.3% | 88.2% | 92.6 | Unlucky | |
| 3 | 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 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 21 | 15 | 26 | 6 | 11 | 5 | 50.0% | 8.7% | 92.7% | 101.4 | DULL | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 29 | 5 | 12 | 12 | 0 | 29 | 13 | 2 | 21 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 26 | 18 | 21 | 7 | 12 | 6 | 0.0% | 3.4% | 93.1% | 96.6 | DULL | |
| 5 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 1 | 49 | 12 | 21 | 12 | 8 | 73 | 18 | 22 | 43 | 10 | 1 | 10.00% | 11 | 2 | 81.82% | 0 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 50 | 35 | 47 | 15 | 27 | 13 | 33.3% | 6.1% | 91.8% | 97.9 | DULL | |
| 6 | 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 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 21 | 12 | 24 | 7 | 13 | 7 | 28.6% | 8.3% | 87.2% | 95.5 | Unlucky | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 12 | 7 | 9 | 0 | 34 | 12 | 10 | 12 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 23 | 15 | 24 | 6 | 12 | 6 | 50.0% | 7.1% | 91.2% | 98.3 | DULL | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 8 | 6 | 7 | 0 | 35 | 19 | 4 | 20 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 20 | 13 | 26 | 7 | 13 | 5 | 25.0% | 4.8% | 91.4% | 96.2 | DULL | |
| 9 | 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 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 28 | 20 | 23 | 7 | 13 | 6 | 50.0% | 15.6% | 87.9% | 103.5 | FUN | |
| 10 | 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 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 21 | 14 | 26 | 7 | 11 | 5 | 20.0% | 7.9% | 92.2% | 100.1 | DULL | |
| 11 | 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 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 24 | 16 | 23 | 6 | 12 | 6 | 37.5% | 12.5% | 85.3% | 97.8 | FUN | |
| _Vs Division | 6 | 0 | 4 | 0 | 0 | 1 | 0 | 1 | 10 | 21 | -11 | 2 | 0.167 | 10 | 19 | 29 | 0 | 0 | 4 | 6 | 0 | 1 | 165 | 58 | 53 | 50 | 8 | 256 | 73 | 54 | 119 | 19 | 3 | 15.79% | 27 | 4 | 85.19% | 0 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 134 | 90 | 154 | 44 | 76 | 36 | 29.2% | 6.1% | 91.8% | 97.9 | DULL | |
| _Vs Conference | 9 | 0 | 7 | 0 | 0 | 1 | 0 | 1 | 14 | 30 | -16 | 2 | 0.111 | 14 | 25 | 39 | 0 | 0 | 6 | 7 | 1 | 1 | 245 | 78 | 80 | 83 | 8 | 353 | 105 | 78 | 178 | 30 | 5 | 16.67% | 39 | 7 | 82.05% | 0 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 205 | 139 | 225 | 66 | 114 | 56 | 28.1% | 5.7% | 91.5% | 97.2 | DULL | |
| _Since Last GM Reset | 12 | 0 | 9 | 0 | 0 | 1 | 1 | 1 | 25 | 44 | -19 | 4 | 0.167 | 25 | 43 | 68 | 0 | 0 | 10 | 10 | 4 | 2 | 333 | 110 | 102 | 113 | 15 | 459 | 129 | 98 | 240 | 46 | 8 | 17.39% | 48 | 8 | 83.33% | 0 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 279 | 188 | 296 | 88 | 154 | 77 | 32.1% | 7.5% | 90.4% | 97.9 | Unlucky | |
| Total | 12 | 0 | 9 | 0 | 0 | 1 | 1 | 1 | 25 | 44 | -19 | 4 | 0.167 | 25 | 43 | 68 | 0 | 0 | 10 | 10 | 4 | 2 | 333 | 110 | 102 | 113 | 15 | 459 | 129 | 98 | 240 | 46 | 8 | 17.39% | 48 | 8 | 83.33% | 0 | 202 | 396 | 51.01% | 240 | 458 | 52.40% | 90 | 178 | 50.56% | 279 | 188 | 296 | 88 | 154 | 77 | 32.1% | 7.5% | 90.4% | 97.9 | Unlucky | 
| Puck Time | |
|---|---|
| Offensive Zone | 23 | 
| Neutral Zone | 12 | 
| Defensive Zone | 24 | 
| Puck Time | |
|---|---|
| Offensive Zone Start | 396 | 
| Neutral Zone Start | 178 | 
| Defensive Zone Start | 458 | 
| Puck Time | |
|---|---|
| With Puck | 29 | 
| Without Puck | 31 | 
| Faceoffs | |
|---|---|
| Faceoffs Won | 532 | 
| Faceoffs Lost | 500 | 
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.2 | 9.57 | 
| 2nd Period | 17.7 | 20.31 | 
| 3rd Period | 27.1 | 30.68 | 
| Overtime | 28.3 | 31.4 | 
| Goals in | Team Average Goals after | League Average Goals after | 
|---|---|---|
| 1st Period | 0.8 | 0.64 | 
| 2nd Period | 1.7 | 1.65 | 
| 3rd Period | 2.0 | 2.67 | 
| Overtime | 2.2 | 2.83 | 
| Even Strenght Goal | 17 | 
|---|---|
| PP Goal | 8 | 
| PK Goal | 0 | 
| Empty Net Goal | 0 | 
| Home | Away | |
|---|---|---|
| Win | 1 | 0 | 
| Lost | 5 | 4 | 
| Overtime Lost | 0 | 2 | 
| PP Attempt | 46 | 
|---|---|
| PP Goal | 8 | 
| PK Attempt | 48 | 
| PK Goal Against | 8 | 
| Home | |
|---|---|
| Shots For | 27.8 | 
| Shots Against | 38.3 | 
| Goals For | 2.1 | 
| Goals Against | 3.7 | 
| Hits | 20.0 | 
| Shots Blocked | 10.8 | 
| Pim | 8.2 | 
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space | 
| 78,007,500$ | 0$ | 77,697,106$ | 17,492,500$ | 
| 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 | 31939 | 26801 | 11396 | 22897 | 5626 | 
| Attendance PCT | 88.72% | 89.34% | 94.97% | 95.40% | 93.77% | 
| Income | |||||
|---|---|---|---|---|---|
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 | 
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity | 
| 35 | 16443 - 91.35% | 1,494,663$ | 8,967,978$ | 18000 | 100 | 
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value | 
| 78,007,500$ | 78,007,500$ | 0$ | 0$ | 
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | 
|---|---|---|---|
| 11,211,535$ | 406,289$ | 11,065,710$ | 0$ | 
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses | 
| 52,313,205$ | 164 | 411,497$ | 67,485,508$ | 
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account | 
| 70,558,036$ | 78,007,500$ | 86,155,950$ | 67,911,119$ | 
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Injured 
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 | 
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
| 2027 | ||||||||
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| 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 | |||
| Rasmus Kumpulainen | 2023 | 57 | |||
| Vojtech Hradec | 2024 | 186 | |||
| Voljtech Cihar | 2025 | 61 | |||
| Will McIsaac | 2024 | 159 | 
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