| New York Islanders 0-1-0, 0pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Boone Jenner | 38 | C/LW | 99.00 | 80 | 38 | 82 | 69 | 81 | 82 | 79 | 67 | 79 | 73 | 69 | 83 | 68 | 81 | 89 | 0 | 39 | 83 | 33 | 7,750,000$/5yrs | |||
Brock Boeser | 0 | RW | 100.00 | 66 | 33 | 94 | 74 | 81 | 86 | 88 | 70 | 60 | 70 | 75 | 63 | 72 | 74 | 74 | 0 | 39 | 81 | 29 | 7,500,000$/7yrs | |||
Claude Giroux | 0 | C/LW | 99.00 | 65 | 32 | 91 | 66 | 73 | 83 | 90 | 67 | 87 | 74 | 66 | 75 | 67 | 91 | 99 | 0 | 39 | 81 | 38 | 7,500,000$/1yrs | |||
Ilya Mikheyev | 0 | LW/RW | 100.00 | 60 | 33 | 92 | 66 | 77 | 82 | 89 | 63 | 57 | 64 | 71 | 73 | 67 | 79 | 78 | 0 | 39 | 78 | 31 | 3,750,000$/3yrs | |||
Justin Danforth | 0 | C/RW | 100.00 | 79 | 32 | 89 | 60 | 71 | 78 | 75 | 60 | 82 | 63 | 64 | 81 | 62 | 81 | 80 | 0 | 39 | 77 | 33 | 4,000,000$/1yrs | |||
Nic Dowd | 0 | C/RW | 100.00 | 76 | 34 | 72 | 57 | 76 | 79 | 89 | 60 | 84 | 63 | 62 | 87 | 61 | 86 | 83 | 0 | 39 | 76 | 36 | 3,000,000$/1yrs | |||
Stefan Noesen | 23 | RW | 100.00 | 75 | 44 | 77 | 63 | 80 | 79 | 83 | 61 | 61 | 63 | 69 | 60 | 65 | 81 | 79 | 0 | 39 | 76 | 33 | 4,000,000$/1yrs | |||
Oliver Kapanen (R) | 0 | C | 100.00 | 58 | 33 | 91 | 66 | 78 | 78 | 80 | 63 | 77 | 62 | 69 | 79 | 66 | 63 | 62 | 0 | 39 | 76 | 23 | 925,000$/1yrs | |||
Danton Heinen | 0 | LW/RW | 100.00 | 69 | 34 | 87 | 61 | 75 | 76 | 84 | 59 | 59 | 64 | 62 | 67 | 61 | 77 | 76 | 0 | 39 | 74 | 31 | 3,000,000$/1yrs | |||
James Hagens (R) | 0 | C | 100.00 | 61 | 37 | 88 | 67 | 65 | 65 | 69 | 59 | 57 | 64 | 67 | 63 | 69 | 65 | 67 | 0 | 39 | 74 | 19 | 986,250$/2yrs | |||
Dalibor Dvorsky (R) | 0 | C/RW | 100.00 | 69 | 33 | 87 | 65 | 79 | 78 | 76 | 58 | 80 | 59 | 65 | 56 | 62 | 59 | 58 | 0 | 39 | 72 | 21 | 909,166$/2yrs | |||
Sam Lafferty | 0 | C/LW | 100.00 | 73 | 33 | 83 | 55 | 77 | 71 | 79 | 52 | 62 | 54 | 57 | 61 | 54 | 77 | 75 | 0 | 39 | 68 | 31 | 3,000,000$/1yrs | |||
Alex Pietrangelo | 0 | D | 99.00 | 62 | 34 | 92 | 69 | 86 | 92 | 76 | 65 | 30 | 73 | 58 | 81 | 61 | 87 | 98 | 0 | 39 | 84 | 36 | 9,000,000$/2yrs | |||
Matthew Schaefer (R) | 0 | D | 100.00 | 61 | 32 | 84 | 71 | 74 | 96 | 78 | 64 | 30 | 74 | 75 | 69 | 70 | 56 | 55 | 0 | 39 | 81 | 19 | 986,250$/2yrs | |||
Chris Tanev | 0 | D | 100.00 | 57 | 33 | 90 | 55 | 77 | 87 | 78 | 62 | 30 | 63 | 55 | 85 | 58 | 87 | 86 | 0 | 39 | 77 | 36 | 4,500,000$/2yrs | |||
Erik Gudbranson | 44 | D | 100.00 | 72 | 39 | 83 | 55 | 91 | 84 | 73 | 58 | 30 | 59 | 53 | 82 | 56 | 83 | 81 | 0 | 39 | 75 | 34 | 4,000,000$/2yrs | |||
Brett Kulak | 0 | D | 100.00 | 57 | 33 | 88 | 56 | 78 | 87 | 90 | 58 | 30 | 62 | 57 | 72 | 57 | 80 | 78 | 0 | 39 | 74 | 32 | 3,000,000$/1yrs | |||
Olen Zellweger | 0 | D | 100.00 | 61 | 32 | 86 | 57 | 66 | 84 | 86 | 55 | 30 | 64 | 62 | 63 | 58 | 63 | 61 | 0 | 39 | 72 | 23 | 3,100,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Blake Lizotte | 0 | C/LW | 100.00 | 67 | 34 | 84 | 58 | 64 | 77 | 83 | 60 | 79 | 63 | 65 | 82 | 63 | 73 | 71 | 0 | 39 | 75 | 28 | 1,750,000$/4yrs | |||
Matteo Pietroniro | 0 | D | 100.00 | 89 | 39 | 59 | 54 | 77 | 69 | 82 | 57 | 30 | 59 | 56 | 73 | 58 | 72 | 68 | 0 | 39 | 73 | 28 | 850,000$/2yrs | |||
| TEAM AVERAGE | 99.85 | 68 | 35 | 85 | 62 | 76 | 81 | 81 | 61 | 57 | 65 | 64 | 73 | 63 | 76 | 76 | 0 | 39 | 76 | |||||||
| 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 | 82 | 75 | 74 | 79 | 70 | 80 | 87 | 75 | 87 | 80 | 79 | 83 | 0 | 34 | 84 | 32 | 4,000,000$/3yrs |
Laurent Brossoit | 0 | 99.00 | 62 | 59 | 63 | 86 | 51 | 70 | 67 | 62 | 70 | 65 | 66 | 79 | 85 | 0 | 39 | 72 | 33 | 3,000,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.50 | 73 | 71 | 69 | 80 | 65 | 70 | 74 | 75 | 73 | 76 | 73 | 79 | 84 | 0 | 37 | 78 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Hynes | 83 | 85 | 79 | 83 | 87 | 80 | 75 | USA | 51 | 3 | 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 | Alex Pietrangelo | 0 | D | 1 | 0 | 1 | 1 | -1 | 2 | 0 | 4 | 1 | 0 | 3 | 0.00% | 1 | 25.40 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
| 2 | Nic Dowd | 0 | C/RW | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 0 | 12.35 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 1.62 | 0 | 0 | |
| 3 | Stefan Noesen | 23 | RW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0.00% | 0 | 11.22 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.78 | 0 | 0 | |
| 4 | Olen Zellweger | 0 | D | 1 | 0 | 1 | 1 | -2 | 2 | 0 | 2 | 1 | 0 | 1 | 0.00% | 2 | 18.15 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.10 | 0 | 0 | |
| 5 | Oliver Kapanen | 0 | C | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 2 | 25.00% | 0 | 11.52 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 1.74 | 0 | 0 | |
| 6 | Matthew Schaefer | 0 | D | 1 | 0 | 1 | 1 | -1 | 4 | 0 | 4 | 2 | 2 | 1 | 0.00% | 2 | 23.47 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
| 7 | Boone Jenner | 38 | C/LW | 1 | 0 | 0 | 0 | -3 | 0 | 0 | 2 | 1 | 1 | 0 | 0.00% | 1 | 22.47 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 8 | Brett Kulak | 0 | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 0 | 0 | 2 | 0.00% | 0 | 15.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 9 | Brock Boeser | 0 | RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 1 | 0 | 2 | 0.00% | 0 | 15.95 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 10 | Chris Tanev | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 6 | 16.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 11 | Claude Giroux | 0 | C/LW | 1 | 0 | 0 | 0 | -3 | 0 | 0 | 2 | 2 | 1 | 6 | 0.00% | 1 | 22.63 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 44.00% | 25 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 12 | Danton Heinen | 0 | LW/RW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0.00% | 1 | 10.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 13 | Erik Gudbranson | 44 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 2 | 20.70 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 14 | Sam Lafferty | 0 | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 8.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 15 | Ilya Mikheyev | 0 | LW/RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 15.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 16 | Justin Danforth | 0 | C/RW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 1 | 12.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 17 | Dalibor Dvorsky | 0 | C/RW | 1 | 0 | 0 | 0 | -3 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 1 | 15.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 18 | James Hagens | 0 | C | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 3 | 1 | 3 | 0.00% | 0 | 15.55 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 16 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 18 | 2 | 4 | 6 | -20 | 8 | 0 | 20 | 24 | 6 | 25 | 8.33% | 18 | 16.32 | 1 | 2 | 3 | 32 | 0 | 0 | 0 | 24 | 0 | 0 | 38.37% | 86 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
| 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 | 1 | 0 | 1 | 0 | 0.778 | 17.14 | 14 | 0 | 0 | 4 | 18 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
| 2 | Laurent Brossoit | 1 | 0 | 0 | 0 | 0.870 | 4.00 | 45 | 0 | 0 | 3 | 23 | 0 | 0 | 0 | 0.000 | 0 | 0 | 1 | 0 | 0 | 0 | |
| Team Total or Average | 2 | 0 | 1 | 0 | 0.829 | 7.00 | 60 | 0 | 0 | 7 | 41 | 0 | 0 | 0 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 |
| Projected Total Cap Hit | 80,506,635$ |
| Projected Cap Space | 23,493,365$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 870,342$ |
| Players In Salary Cap | 22 |
| LTIR Players | 0 |
| Islanders Roster | Pos | Age | Cap Hit | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 | 2033-34 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Pietrangelo | D | 36 | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |||||
| Blake Lizotte | C/LW | 28 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||
| Boone Jenner | C/LW | 33 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA | ||
| Brett Kulak | D | 32 | 3,000,000$ | 3,000,000$ | UFA | ||||||
| Brock Boeser | RW | 29 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA |
| Charlie Lindgren | G | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
| Chris Tanev | D | 36 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
| Claude Giroux | C/LW | 38 | 7,500,000$ | 7,500,000$ | UFA | ||||||
Dalibor Dvorsky | C/RW | 21 | 909,166$ | 909,166$ | 909,166$ | RFA | |||||
| Danton Heinen | LW/RW | 31 | 3,000,000$ | 3,000,000$ | UFA | ||||||
| Erik Gudbranson | D | 34 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
| Ilya Mikheyev | LW/RW | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | ||||
James Hagens | C | 19 | 986,250$ | 986,250$ | 986,250$ | RFA | |||||
| Justin Danforth | C/RW | 33 | 4,000,000$ | 4,000,000$ | UFA | ||||||
| Laurent Brossoit | G | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Matteo Pietroniro | D | 28 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Matthew Schaefer | D | 19 | 986,250$ | 986,250$ | 986,250$ | RFA | |||||
| Nic Dowd | C/RW | 36 | 3,000,000$ | 3,000,000$ | UFA | ||||||
| Olen Zellweger | D | 23 | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | |||||
Oliver Kapanen | C | 23 | 925,000$ | 925,000$ | RFA | ||||||
| Sam Lafferty | C/LW | 31 | 3,000,000$ | 3,000,000$ | UFA | ||||||
| Stefan Noesen | RW | 33 | 4,000,000$ | 4,000,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 | 2033-34 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Angus Crookshank | LW | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Axel Sandin Pellikka | D | 21 | 940,833$ | 940,833$ | 940,833$ | RFA | |||||
Brandon Coe | RW | 24 | 900,000$ | 900,000$ | |||||||
Eddie Genborg | RW | 19 | 997,500$ | 997,500$ | 997,500$ | 997,500$ | RFA | ||||
Emil Hemming | LW/RW | 20 | 941,667$ | 941,667$ | 941,667$ | 941,667$ | RFA | ||||
Felix Nilsson | C | 21 | 1,028,333$ | 1,028,333$ | 1,028,333$ | 1,028,333$ | RFA | ||||
Isaac Poulter | G | 25 | 800,000$ | 800,000$ | |||||||
Jack Peart | D | 23 | 942,500$ | 942,500$ | RFA | ||||||
Jakob Pelletier | C/LW | 25 | 900,000$ | 900,000$ | 875,000$ | ||||||
Jeremy Hanzel | D | 23 | 926,667$ | 926,667$ | RFA | ||||||
Jesse Nurmi | LW | 21 | 938,333$ | 938,333$ | 938,333$ | RFA | |||||
Juho Piiparinen | D | 18 | 1,075,000$ | 1,075,000$ | 1,075,000$ | 1,075,000$ | |||||
Justin Carbonneau | RW | 19 | 974,167$ | 974,167$ | 974,167$ | 974,167$ | RFA | ||||
Kaleb Lawrence | RW | 23 | 927,500$ | 927,500$ | RFA | ||||||
Kevin Wall | RW | 26 | 800,000$ | 800,000$ | |||||||
Lassi Thomson | D | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Leo Sahlin Wallenius | D | 20 | 965,000$ | 965,000$ | 965,000$ | 965,000$ | RFA | ||||
Lleyton Moore | D | 24 | 800,000$ | 800,000$ | |||||||
Maxim Groshev | LW | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
Michael Callahan | D | 27 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Mitchell Chaffee | RW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Oliver Wahlstrom | RW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Philip Kemp | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Raivis Ansons | C | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Rasmus Kumpulainen | C | 21 | 924,583$ | 924,583$ | 924,583$ | RFA | |||||
Reese Johnson | RW | 28 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Roger McQueen | C | 19 | 1,075,000$ | 1,075,000$ | 1,075,000$ | 1,075,000$ | RFA | ||||
Ryan Lomberg | C/LW | 31 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Samuel Honzek | LW | 21 | 909,166$ | 909,166$ | 909,166$ | RFA | |||||
Sebastian Cossa | G | 23 | 900,000$ | 900,000$ | 2,000,000$ | ||||||
Spencer Martin | G | 31 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Vojtech Cihar | LW | 19 | 974,167$ | 974,167$ | 974,167$ | 974,167$ | RFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 24 | 10 | 11 | 3 | 0 | 41 | 18 | 8 | 20 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 15 | 32 | 46.88% | 13 | 35 | 37.14% | 5 | 19 | 26.32% | 21 | 14 | 25 | 7 | 12 | 5 | 16.7% | 8.3% | 82.9% | 91.3 | Unlucky | |
| _Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 24 | 10 | 11 | 3 | 0 | 41 | 18 | 8 | 20 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 15 | 32 | 46.88% | 13 | 35 | 37.14% | 5 | 19 | 26.32% | 21 | 14 | 25 | 7 | 12 | 5 | 16.7% | 8.3% | 82.9% | 91.3 | Unlucky | |
| _Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 24 | 10 | 11 | 3 | 0 | 41 | 18 | 8 | 20 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 15 | 32 | 46.88% | 13 | 35 | 37.14% | 5 | 19 | 26.32% | 21 | 14 | 25 | 7 | 12 | 5 | 16.7% | 8.3% | 82.9% | 91.3 | Unlucky | |
| Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 24 | 10 | 11 | 3 | 0 | 41 | 18 | 8 | 20 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 15 | 32 | 46.88% | 13 | 35 | 37.14% | 5 | 19 | 26.32% | 21 | 14 | 25 | 7 | 12 | 5 | 16.7% | 8.3% | 82.9% | 91.3 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 32 |
| Neutral Zone Start | 19 |
| Defensive Zone Start | 35 |
| Puck Time | |
|---|---|
| With Puck | 28 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 33 |
| Faceoffs Lost | 53 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.0 | 9.57 |
| 2nd Period | 21.0 | 20.31 |
| 3rd Period | 24.0 | 30.68 |
| Overtime | 24.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 2.0 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 2.0 | 2.67 |
| Overtime | 2.0 | 2.83 |
| Even Strenght Goal | 1 |
|---|---|
| PP Goal | 1 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 4 |
|---|---|
| PP Goal | 1 |
| PK Attempt | 4 |
| PK Goal Against | 2 |
| Home | |
|---|---|
| Shots For | 24.0 |
| Shots Against | 41.0 |
| Goals For | 2.0 |
| Goals Against | 7.0 |
| Hits | 20.0 |
| Shots Blocked | 18.0 |
| Pim | 8.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 80,506,666$ | 0$ | 80,506,635$ | 23,493,334$ |
| 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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 42 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 80,506,666$ | 80,506,666$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 881,154$ | 435,171$ | 870,342$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 183 | 440,577$ | 80,625,591$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 84,336,209$ | 80,506,666$ | 92,885,860$ | 8,549,651$ |
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 |
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| 2027 | ||||||||
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| 2031 |
| 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) |
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| 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 | |||
| Brady Knowling | 2026 | 35 | |||
| Caleb Malhotra | 2026 | 4 | |||
| Cole McKinney | 2025 | 42 | |||
| 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 | |||
| Will McIsaac | 2024 | 159 |
Lassi Thomson is out for the rest of the season because of a Unknown.
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