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Full Scoreboard »» |
| New York Islanders 2-13-3, 7pts · 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 | 25 | 84 | 35 | 6,000,000$/4yrs | |||
Nick Foligno | 0 | C/LW/RW | 98.00 | 85 | 45 | 76 | 64 | 81 | 84 | 89 | 66 | 79 | 67 | 69 | 77 | 67 | 89 | 92 | 0 | 22 | 81 | 38 | 4,500,000$/1yrs | |||
Jaden Schwartz | 0 | LW | 98.00 | 63 | 32 | 88 | 68 | 70 | 85 | 87 | 68 | 62 | 67 | 73 | 61 | 70 | 80 | 79 | 0 | 22 | 79 | 33 | 6,000,000$/1yrs | |||
Nic Dowd | 0 | C/RW | 100.00 | 76 | 34 | 76 | 59 | 76 | 81 | 88 | 61 | 85 | 61 | 66 | 86 | 64 | 84 | 82 | 0 | 22 | 77 | 35 | 3,000,000$/2yrs | |||
Danton Heinen | 0 | LW/RW | 98.00 | 69 | 34 | 86 | 64 | 75 | 79 | 89 | 63 | 59 | 66 | 66 | 68 | 64 | 75 | 74 | 0 | 22 | 76 | 30 | 3,000,000$/2yrs | |||
Victor Olofsson | 0 | LW/RW | 100.00 | 60 | 32 | 93 | 64 | 70 | 77 | 82 | 64 | 56 | 64 | 68 | 54 | 66 | 75 | 74 | 0 | 22 | 75 | 30 | 4,675,000$/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 | 22 | 75 | 30 | 6,000,000$/1yrs | |||
Jakob Pelletier | 0 | C/LW | 100.00 | 67 | 31 | 93 | 65 | 64 | 74 | 75 | 60 | 60 | 65 | 63 | 61 | 62 | 65 | 64 | 0 | 33 | 73 | 24 | 900,000$/2yrs | |||
Mitchell Chaffee | 0 | RW | 100.00 | 82 | 35 | 90 | 56 | 79 | 75 | 80 | 60 | 58 | 58 | 66 | 57 | 63 | 70 | 69 | 0 | 22 | 72 | 27 | 775,000$/2yrs | |||
Reese Johnson | 17 | RW | 100.00 | 85 | 55 | 70 | 57 | 76 | 74 | 72 | 56 | 75 | 56 | 56 | 69 | 56 | 69 | 66 | 0 | 25 | 70 | 27 | 800,000$/1yrs | |||
Adam Erne | 73 | LW/RW | 100.00 | 87 | 44 | 89 | 55 | 83 | 68 | 69 | 53 | 71 | 54 | 56 | 58 | 54 | 75 | 74 | 0 | 21 | 69 | 30 | 1,500,000$/1yrs | |||
Oliver Wahlstrom | 0 | RW | 100.00 | 67 | 43 | 79 | 57 | 81 | 73 | 77 | 56 | 61 | 58 | 58 | 61 | 57 | 66 | 64 | 0 | 22 | 69 | 25 | 1,200,000$/3yrs | |||
Erik Gudbranson | 44 | D | 99.00 | 71 | 45 | 71 | 58 | 91 | 88 | 80 | 66 | 30 | 66 | 58 | 84 | 62 | 81 | 79 | 0 | 23 | 79 | 33 | 4,000,000$/3yrs | |||
Connor Murphy | 0 | D | 99.00 | 80 | 42 | 72 | 56 | 86 | 90 | 83 | 62 | 30 | 64 | 55 | 80 | 58 | 79 | 76 | 0 | 22 | 77 | 32 | 4,400,000$/1yrs | |||
Matt Grzelcyk | 0 | D | 100.00 | 63 | 33 | 87 | 63 | 67 | 88 | 88 | 60 | 30 | 70 | 54 | 64 | 57 | 77 | 76 | 0 | 22 | 77 | 31 | 4,250,000$/1yrs | |||
John Klingberg | 0 | D | 100.00 | 65 | 33 | 77 | 60 | 78 | 89 | 69 | 57 | 30 | 70 | 56 | 57 | 56 | 80 | 77 | 0 | 19 | 75 | 33 | 6,500,000$/2yrs | |||
Olen Zellweger | 0 | D | 100.00 | 62 | 32 | 90 | 60 | 66 | 88 | 79 | 55 | 30 | 65 | 62 | 59 | 58 | 60 | 59 | 0 | 22 | 73 | 22 | 844,167$/1yrs | |||
Ryan Ellis | 0 | D | 100.00 | 57 | 32 | 80 | 60 | 68 | 93 | 60 | 60 | 30 | 52 | 52 | 60 | 79 | 81 | 81 | 0 | 21 | 70 | 34 | 6,250,000$/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 | 22 | 77 | 35 | 3,333,000$/2yrs | |||
Vladislav Namestnikov | 0 | C/LW/RW | 86.57 | 70 | 34 | 83 | 62 | 70 | 80 | 89 | 66 | 77 | 70 | 64 | 66 | 65 | 80 | 78 | 0 | 14 | 77 | 32 | 3,750,000$/1yrs | |||
Evgeny Kuznetsov | 0 | C | 100.00 | 60 | 33 | 83 | 64 | 82 | 85 | 75 | 62 | 81 | 66 | 63 | 67 | 62 | 80 | 79 | 0 | 22 | 75 | 33 | 2,500,000$/2yrs | |||
Alexander Barabanov | 0 | LW/RW | 100.00 | 62 | 32 | 90 | 58 | 73 | 82 | 72 | 60 | 59 | 63 | 60 | 56 | 60 | 76 | 76 | 0 | 22 | 72 | 31 | 2,000,000$/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 | 22 | 68 | 25 | 1,100,000$/2yrs | |||
Marc-Edouard Vlasic | 0 | D | 100.00 | 61 | 33 | 88 | 55 | 80 | 82 | 78 | 55 | 30 | 58 | 60 | 72 | 58 | 89 | 88 | 0 | 22 | 74 | 38 | 4,000,000$/1yrs | |||
Justin Holl | 0 | D | 100.00 | 66 | 33 | 88 | 55 | 80 | 81 | 82 | 51 | 30 | 58 | 53 | 60 | 52 | 80 | 79 | 0 | 23 | 70 | 33 | 2,700,000$/1yrs | |||
| TEAM AVERAGE | 99.12 | 69 | 37 | 82 | 61 | 76 | 81 | 80 | 61 | 58 | 63 | 62 | 64 | 62 | 77 | 75 | 0 | 22 | 75 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Charlie Lindgren | 5 | 98.00 | 88 | 92 | 79 | 74 | 88 | 78 | 88 | 92 | 84 | 93 | 88 | 78 | 83 | 0 | 24 | 89 | 31 | 4,000,000$/4yrs |
Laurent Brossoit | 0 | 97.00 | 76 | 68 | 69 | 87 | 87 | 77 | 85 | 85 | 84 | 87 | 85 | 79 | 83 | 0 | 26 | 85 | 32 | 3,000,000$/3yrs |
| Scratches | ||||||||||||||||||||
Sebastian Cossa | 0 | 100.00 | 75 | 77 | 72 | 92 | 61 | 77 | 76 | 75 | 77 | 76 | 76 | 64 | 65 | 0 | 35 | 79 | 22 | 863,333$/1yrs |
| TEAM AVERAGE | 98.33 | 80 | 79 | 73 | 84 | 79 | 77 | 83 | 84 | 82 | 85 | 83 | 74 | 77 | 0 | 28 | 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 | 18 | 9 | 6 | 15 | -2 | 2 | 0 | 12 | 54 | 10 | 35 | 16.67% | 0 | 13.72 | 2 | 4 | 6 | 59 | 0 | 0 | 0 | 7 | 0 | 1 | 53.70% | 216 | 0 | 0 | 0 | 0 | 1.21 | 0 | 0 | |
| 2 | Erik Gudbranson | 44 | D | 18 | 3 | 10 | 13 | -6 | 19 | 5 | 28 | 33 | 13 | 21 | 9.09% | 40 | 24.56 | 3 | 4 | 7 | 56 | 0 | 0 | 0 | 60 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 3 | Nick Foligno | 0 | C/LW/RW | 18 | 4 | 8 | 12 | -6 | 18 | 0 | 56 | 72 | 14 | 51 | 5.56% | 10 | 22.74 | 1 | 4 | 5 | 58 | 0 | 0 | 0 | 66 | 0 | 0 | 50.88% | 623 | 0 | 0 | 0 | 0 | 0.59 | 1 | 2 | |
| 4 | Connor Murphy | 0 | D | 18 | 3 | 8 | 11 | -6 | 20 | 0 | 41 | 25 | 11 | 24 | 12.00% | 33 | 24.58 | 2 | 3 | 5 | 55 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 5 | Jaden Schwartz | 0 | LW | 18 | 6 | 3 | 9 | -6 | 2 | 0 | 11 | 52 | 21 | 38 | 11.54% | 2 | 23.23 | 1 | 0 | 1 | 58 | 0 | 0 | 0 | 73 | 0 | 0 | 50.00% | 40 | 0 | 0 | 0 | 0 | 0.43 | 0 | 2 | |
| 6 | Victor Olofsson | 0 | LW/RW | 18 | 1 | 5 | 6 | -5 | 4 | 0 | 2 | 24 | 7 | 15 | 4.17% | 2 | 15.50 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 50.00% | 8 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 7 | Danton Heinen | 0 | LW/RW | 18 | 1 | 3 | 4 | -7 | 6 | 0 | 18 | 34 | 17 | 31 | 2.94% | 4 | 19.37 | 0 | 0 | 0 | 44 | 0 | 0 | 0 | 45 | 0 | 0 | 47.62% | 42 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 8 | Matt Grzelcyk | 0 | D | 18 | 0 | 4 | 4 | -3 | 20 | 0 | 17 | 17 | 6 | 15 | 0.00% | 21 | 21.33 | 0 | 0 | 0 | 46 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
| 9 | Vladislav Namestnikov | 0 | C/LW/RW | 17 | 2 | 2 | 4 | -7 | 2 | 0 | 19 | 38 | 16 | 33 | 5.26% | 5 | 17.74 | 0 | 0 | 0 | 36 | 0 | 0 | 0 | 28 | 0 | 0 | 42.73% | 110 | 0 | 0 | 0 | 0 | 0.27 | 1 | 2 | |
| 10 | Justin Holl | 0 | D | 17 | 1 | 2 | 3 | -9 | 18 | 0 | 21 | 7 | 0 | 4 | 14.29% | 12 | 13.65 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 11 | Max Domi | 0 | C/LW/RW | 18 | 1 | 2 | 3 | -6 | 4 | 0 | 31 | 35 | 7 | 19 | 2.86% | 4 | 17.31 | 0 | 0 | 0 | 44 | 0 | 0 | 0 | 11 | 0 | 0 | 46.04% | 328 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| 12 | Jakob Pelletier | 0 | C/LW | 7 | 2 | 1 | 3 | 0 | 4 | 0 | 0 | 7 | 0 | 2 | 28.57% | 1 | 9.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | |
| 13 | Olen Zellweger | 0 | D | 18 | 0 | 3 | 3 | -10 | 8 | 0 | 22 | 4 | 3 | 9 | 0.00% | 19 | 14.94 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 14 | John Klingberg | 0 | D | 18 | 0 | 2 | 2 | -3 | 25 | 5 | 46 | 6 | 1 | 7 | 0.00% | 29 | 21.61 | 0 | 0 | 0 | 46 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | |
| 15 | Nic Dowd | 0 | C/RW | 18 | 1 | 1 | 2 | -6 | 0 | 0 | 2 | 34 | 12 | 23 | 2.94% | 1 | 8.75 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 53.45% | 174 | 0 | 0 | 0 | 0 | 0.25 | 0 | 1 | |
| 16 | Mitchell Chaffee | 0 | RW | 18 | 1 | 1 | 2 | -5 | 0 | 0 | 5 | 11 | 4 | 10 | 9.09% | 0 | 8.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 9 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 17 | Oliver Wahlstrom | 0 | RW | 18 | 1 | 1 | 2 | -1 | 0 | 0 | 14 | 18 | 0 | 3 | 5.56% | 2 | 9.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 12 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 18 | Adam Erne | 73 | LW/RW | 12 | 0 | 1 | 1 | 1 | 9 | 5 | 11 | 9 | 2 | 2 | 0.00% | 1 | 10.85 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 8 | 0 | 0 | 55.56% | 9 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | |
| 19 | Ryan Ellis | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 1 | 14.67 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 20 | Reese Johnson | 17 | RW | 18 | 0 | 0 | 0 | -5 | 8 | 0 | 18 | 15 | 5 | 14 | 0.00% | 0 | 8.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 324 | 36 | 63 | 99 | -92 | 169 | 15 | 375 | 495 | 149 | 356 | 7.27% | 187 | 16.37 | 9 | 16 | 25 | 524 | 0 | 0 | 0 | 492 | 1 | 2 | 49.75% | 1580 | 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 | 11 | 2 | 7 | 2 | 0.908 | 3.32 | 668 | 4 | 0 | 37 | 401 | 0 | 0 | 0 | 0.714 | 7 | 11 | 7 | 1 | 0 | 0 | |
| 2 | Laurent Brossoit | 7 | 0 | 6 | 1 | 0.911 | 3.27 | 422 | 0 | 0 | 23 | 257 | 0 | 0 | 0 | 0.000 | 0 | 7 | 10 | 0 | 0 | 0 | |
| Team Total or Average | 18 | 2 | 13 | 3 | 0.909 | 3.30 | 1090 | 4 | 0 | 60 | 658 | 0 | 0 | 0 | 0.714 | 7 | 18 | 17 | 1 | 0 | 0 |
| Projected Total Cap Hit | 75,370,766$ |
| Projected Cap Space | 20,129,234$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 15,479,681$ |
| Players In Salary Cap | 27 |
| LTIR Players | 1 |
| Islanders Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne ![]() | LW/RW | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
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 | ||||||
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 | 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$ | |||||||
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 | 21 | 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 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 19 | 12 | 28 | 7 | 12 | 5 | 20.0% | 2.9% | 91.1% | 94.0 | Unlucky | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 17 | 7 | 4 | 6 | 0 | 39 | 9 | 12 | 23 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 21 | 14 | 26 | 7 | 12 | 6 | 66.7% | 11.8% | 92.3% | 104.1 | LUCKY | |
| 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 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 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 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 21 | 15 | 26 | 6 | 11 | 5 | 50.0% | 8.7% | 92.7% | 101.4 | DULL | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 12 | 10 | 4 | 0 | 32 | 15 | 16 | 24 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 19 | 13 | 27 | 8 | 12 | 5 | 66.7% | 7.7% | 96.9% | 104.6 | DULL | |
| 6 | 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 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 26 | 18 | 21 | 7 | 12 | 6 | 0.0% | 3.4% | 93.1% | 96.6 | DULL | |
| 7 | 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 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 50 | 35 | 47 | 15 | 27 | 13 | 33.3% | 6.1% | 91.8% | 97.9 | DULL | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 34 | 12 | 14 | 8 | 0 | 35 | 7 | 8 | 34 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 21 | 14 | 25 | 8 | 12 | 6 | 57.1% | 11.8% | 85.7% | 97.5 | FUN | |
| 9 | 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 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 21 | 12 | 24 | 7 | 13 | 7 | 28.6% | 8.3% | 87.2% | 95.5 | Unlucky | |
| 10 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 25 | 7 | 8 | 6 | 4 | 39 | 9 | 23 | 10 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 24 | 15 | 26 | 7 | 13 | 6 | 25.0% | 8.0% | 92.3% | 100.3 | DULL | |
| 11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 57 | 21 | 15 | 21 | 0 | 64 | 21 | 20 | 42 | 4 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 44 | 29 | 51 | 13 | 24 | 12 | 42.9% | 5.3% | 90.6% | 95.9 | Unlucky | |
| 12 | 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 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 20 | 13 | 26 | 7 | 13 | 5 | 25.0% | 4.8% | 91.4% | 96.2 | DULL | |
| 13 | 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 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 28 | 20 | 23 | 7 | 13 | 6 | 50.0% | 15.6% | 87.9% | 103.5 | FUN | |
| 14 | 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 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 21 | 14 | 26 | 7 | 11 | 5 | 20.0% | 7.9% | 92.2% | 100.1 | DULL | |
| 15 | 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 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 24 | 16 | 23 | 6 | 12 | 6 | 37.5% | 12.5% | 85.3% | 97.8 | FUN | |
| 16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 31 | 11 | 10 | 10 | 0 | 24 | 9 | 6 | 14 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 24 | 16 | 23 | 8 | 12 | 6 | 50.0% | 3.2% | 91.7% | 94.9 | DULL | |
| _Vs Division | 8 | 1 | 5 | 0 | 0 | 1 | 0 | 1 | 14 | 25 | -11 | 4 | 0.250 | 14 | 27 | 41 | 0 | 0 | 6 | 7 | 1 | 1 | 208 | 77 | 67 | 60 | 8 | 327 | 97 | 82 | 166 | 22 | 3 | 13.64% | 36 | 6 | 83.33% | 0 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 175 | 118 | 208 | 60 | 101 | 48 | 36.7% | 6.7% | 92.4% | 99.1 | DULL | |
| _Vs Conference | 12 | 1 | 9 | 0 | 0 | 1 | 0 | 1 | 19 | 37 | -18 | 4 | 0.167 | 19 | 34 | 53 | 0 | 0 | 8 | 9 | 2 | 1 | 317 | 106 | 102 | 105 | 8 | 454 | 138 | 116 | 255 | 33 | 5 | 15.15% | 53 | 10 | 81.13% | 0 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 267 | 180 | 305 | 89 | 152 | 73 | 34.1% | 6.0% | 91.9% | 97.8 | DULL | |
| _Since Last GM Reset | 18 | 1 | 13 | 0 | 0 | 2 | 1 | 1 | 37 | 61 | -24 | 7 | 0.194 | 37 | 63 | 100 | 0 | 0 | 15 | 15 | 6 | 2 | 495 | 168 | 156 | 159 | 19 | 658 | 187 | 173 | 375 | 64 | 9 | 14.06% | 73 | 14 | 80.82% | 0 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 411 | 277 | 451 | 134 | 231 | 113 | 37.3% | 7.5% | 90.7% | 98.2 | Unlucky | |
| Total | 18 | 1 | 13 | 0 | 0 | 2 | 1 | 1 | 37 | 61 | -24 | 7 | 0.194 | 37 | 63 | 100 | 0 | 0 | 15 | 15 | 6 | 2 | 495 | 168 | 156 | 159 | 19 | 658 | 187 | 173 | 375 | 64 | 9 | 14.06% | 73 | 14 | 80.82% | 0 | 298 | 600 | 49.67% | 351 | 699 | 50.21% | 137 | 262 | 52.29% | 411 | 277 | 451 | 134 | 231 | 113 | 37.3% | 7.5% | 90.7% | 98.2 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 600 |
| Neutral Zone Start | 262 |
| Defensive Zone Start | 699 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 786 |
| Faceoffs Lost | 775 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.3 | 9.57 |
| 2nd Period | 18.0 | 20.31 |
| 3rd Period | 26.8 | 30.68 |
| Overtime | 27.9 | 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 | 2.1 | 2.83 |
| Even Strenght Goal | 28 |
|---|---|
| PP Goal | 9 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 1 | 1 |
| Lost | 7 | 6 |
| Overtime Lost | 0 | 3 |
| PP Attempt | 64 |
|---|---|
| PP Goal | 9 |
| PK Attempt | 73 |
| PK Goal Against | 14 |
| Home | |
|---|---|
| Shots For | 27.5 |
| Shots Against | 36.6 |
| Goals For | 2.1 |
| Goals Against | 3.4 |
| Hits | 20.8 |
| Shots Blocked | 10.4 |
| Pim | 9.6 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 75,157,500$ | 0$ | 75,370,766$ | 20,342,500$ |
| 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 | 42564 | 35870 | 14821 | 30628 | 7344 |
| Attendance PCT | 88.68% | 89.68% | 92.63% | 95.71% | 91.80% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 33 | 16403 - 91.13% | 1,488,798$ | 11,910,385$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 75,157,500$ | 75,157,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 15,682,795$ | 391,445$ | 15,479,681$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 49,130,338$ | 153 | 396,654$ | 60,688,062$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 63,467,736$ | 75,157,500$ | 84,405,743$ | 70,068,345$ |
Rookie
Injured
Cold Streak
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| 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 | |||
| Rasmus Kumpulainen | 2023 | 57 | |||
| Vojtech Hradec | 2024 | 186 | |||
| Voljtech Cihar | 2025 | 61 | |||
| Will McIsaac | 2024 | 159 |
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