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| New York Islanders 0-0-0, 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jaden Schwartz | 0 | LW | 100.00 | 62 | 32 | 91 | 68 | 70 | 83 | 85 | 66 | 61 | 68 | 73 | 64 | 70 | 82 | 81 | 0 | 12 | 79 | 33 | 6,000,000$/1yrs | |||
Nick Foligno | 0 | C/LW/RW | 100.00 | 84 | 48 | 76 | 61 | 81 | 79 | 85 | 62 | 79 | 65 | 64 | 74 | 63 | 90 | 94 | 0 | 13 | 78 | 38 | 4,500,000$/1yrs | |||
Victor Olofsson | 0 | LW/RW | 100.00 | 58 | 32 | 94 | 65 | 70 | 78 | 86 | 63 | 58 | 65 | 69 | 52 | 66 | 76 | 76 | 0 | 14 | 75 | 30 | 4,675,000$/1yrs | |||
Nic Dowd | 0 | C/RW | 100.00 | 76 | 34 | 72 | 57 | 76 | 79 | 89 | 60 | 84 | 63 | 62 | 79 | 61 | 86 | 83 | 0 | 12 | 75 | 35 | 3,000,000$/2yrs | |||
Max Domi | 0 | C/LW/RW | 100.00 | 60 | 47 | 62 | 65 | 73 | 79 | 89 | 60 | 78 | 69 | 63 | 56 | 61 | 77 | 73 | 0 | 13 | 74 | 31 | 6,000,000$/1yrs | |||
Vladislav Namestnikov | 0 | C/LW/RW | 100.00 | 70 | 32 | 83 | 59 | 70 | 79 | 86 | 61 | 77 | 65 | 64 | 64 | 62 | 81 | 80 | 0 | 6 | 74 | 33 | 3,750,000$/1yrs | |||
Danton Heinen | 0 | LW/RW | 100.00 | 69 | 34 | 87 | 61 | 75 | 76 | 84 | 59 | 59 | 64 | 62 | 63 | 61 | 77 | 75 | 0 | 10 | 73 | 30 | 3,000,000$/2yrs | |||
Jakob Pelletier | 0 | C/LW | 100.00 | 68 | 31 | 93 | 63 | 64 | 74 | 73 | 59 | 60 | 65 | 63 | 61 | 61 | 67 | 66 | 0 | 18 | 73 | 25 | 900,000$/2yrs | |||
Adam Erne | 73 | LW/RW | 100.00 | 90 | 39 | 85 | 56 | 83 | 71 | 72 | 56 | 57 | 54 | 63 | 62 | 60 | 77 | 75 | 0 | 6 | 71 | 31 | 1,500,000$/1yrs | |||
Mitchell Chaffee | 0 | RW | 100.00 | 80 | 36 | 88 | 56 | 79 | 74 | 77 | 58 | 60 | 57 | 65 | 55 | 62 | 72 | 71 | 0 | 12 | 71 | 28 | 775,000$/2yrs | |||
Reese Johnson | 17 | RW | 100.00 | 72 | 40 | 71 | 54 | 76 | 64 | 83 | 63 | 41 | 55 | 54 | 66 | 54 | 66 | 63 | 0 | 14 | 69 | 27 | 800,000$/1yrs | |||
Ryan Lomberg | 0 | C/LW | 100.00 | 77 | 54 | 71 | 55 | 70 | 69 | 86 | 56 | 59 | 59 | 56 | 56 | 56 | 78 | 75 | 0 | 4 | 69 | 31 | 1,000,000$/2yrs | |||
Alex Pietrangelo | 0 | D | 100.00 | 62 | 34 | 92 | 69 | 86 | 92 | 76 | 64 | 30 | 73 | 58 | 76 | 61 | 87 | 98 | 0 | 10 | 83 | 36 | 9,000,000$/3yrs | |||
Matt Grzelcyk | 0 | D | 100.00 | 61 | 32 | 89 | 63 | 67 | 86 | 88 | 59 | 30 | 70 | 52 | 61 | 55 | 79 | 78 | 0 | 12 | 76 | 32 | 4,250,000$/1yrs | |||
John Klingberg | 0 | D | 100.00 | 65 | 33 | 83 | 58 | 78 | 88 | 75 | 53 | 30 | 66 | 67 | 57 | 60 | 82 | 80 | 0 | 11 | 75 | 33 | 6,500,000$/2yrs | |||
Erik Gudbranson | 44 | D | 100.00 | 72 | 39 | 83 | 55 | 91 | 84 | 73 | 56 | 30 | 59 | 53 | 76 | 55 | 83 | 81 | 0 | 12 | 74 | 34 | 4,000,000$/3yrs | |||
Brett Kulak | 0 | D | 100.00 | 58 | 33 | 88 | 56 | 78 | 87 | 90 | 56 | 30 | 62 | 57 | 68 | 57 | 79 | 78 | 0 | 31 | 73 | 32 | 3,000,000$/2yrs | |||
Olen Zellweger | 0 | D | 100.00 | 61 | 32 | 86 | 57 | 66 | 84 | 86 | 54 | 30 | 64 | 62 | 59 | 58 | 62 | 61 | 0 | 12 | 72 | 22 | 844,167$/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$/1yrs | |||
Rasmus Kupari | 0 | C/LW/RW | 100.00 | 72 | 33 | 90 | 55 | 80 | 72 | 74 | 53 | 81 | 55 | 59 | 66 | 56 | 68 | 67 | 0 | 20 | 69 | 26 | 1,100,000$/2yrs | |||
Oliver Wahlstrom | 0 | RW | 100.00 | 65 | 51 | 71 | 56 | 81 | 72 | 72 | 55 | 63 | 56 | 58 | 60 | 57 | 68 | 65 | 0 | 15 | 68 | 25 | 1,200,000$/3yrs | |||
Justin Holl | 0 | D | 100.00 | 61 | 33 | 90 | 55 | 80 | 79 | 78 | 50 | 30 | 57 | 55 | 59 | 53 | 82 | 81 | 0 | 14 | 70 | 34 | 2,700,000$/1yrs | |||
Marc-Edouard Vlasic | 0 | D | 100.00 | 55 | 33 | 97 | 55 | 80 | 79 | 69 | 50 | 30 | 56 | 55 | 63 | 53 | 91 | 90 | 0 | 20 | 70 | 39 | 4,000,000$/1yrs | |||
Ryan Ellis | 0 | D | 100.00 | 57 | 32 | 80 | 60 | 68 | 93 | 60 | 60 | 30 | 52 | 52 | 60 | 79 | 81 | 81 | 0 | 20 | 70 | 35 | 6,250,000$/1yrs | |||
| TEAM AVERAGE | 100.00 | 67 | 36 | 84 | 60 | 76 | 80 | 79 | 59 | 54 | 62 | 61 | 63 | 60 | 78 | 77 | 0 | 14 | 73 | |||||||
| 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 | 15 | 85 | 32 | 4,000,000$/4yrs |
Laurent Brossoit | 0 | 100.00 | 76 | 68 | 69 | 87 | 87 | 77 | 85 | 85 | 84 | 87 | 85 | 79 | 83 | 0 | 14 | 85 | 33 | 3,000,000$/3yrs |
| Scratches | ||||||||||||||||||||
Dustin Tokarski | 0 | 100.00 | 63 | 64 | 66 | 77 | 68 | 76 | 69 | 63 | 76 | 70 | 69 | 83 | 82 | 0 | 20 | 75 | 36 | 800,000$/1yrs |
| TEAM AVERAGE | 100.00 | 74 | 72 | 70 | 79 | 79 | 75 | 79 | 79 | 79 | 82 | 79 | 80 | 83 | 0 | 16 | 82 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Hynes | 75 | 78 | 78 | 83 | 77 | 82 | 78 | USA | 49 | 4 | 1,000,000$ |
| 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 |
|---|
| 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 |
|---|
| Projected Total Cap Hit | 0$ |
| Projected Cap Space | 95,500,000$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 0$ |
| Players In Salary Cap | 29 |
| 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 | 31 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Alex Pietrangelo ![]() | D | 36 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||||
Alexander Barabanov ![]() | LW/RW | 31 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Brett Kulak ![]() | D | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 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 | |||||
Dustin Tokarski | G | 36 | 800,000$ | 800,000$ | 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 | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
John Klingberg ![]() | D | 33 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Justin Holl ![]() | D | 34 | 2,700,000$ | 2,700,000$ | UFA | ||||||
| Laurent Brossoit | G | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Marc-Edouard Vlasic ![]() | D | 39 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Matt Grzelcyk ![]() | D | 32 | 4,250,000$ | 4,250,000$ | UFA | ||||||
Max Domi ![]() | C/LW/RW | 31 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Mitchell Chaffee | RW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Nic Dowd ![]() | C/RW | 35 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Nick Foligno ![]() | C/LW/RW | 38 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Olen Zellweger | D | 22 | 844,167$ | 844,167$ | RFA | ||||||
Oliver Wahlstrom | RW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
Rasmus Kupari | C/LW/RW | 26 | 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 | 28 | 775,000$ | 775,000$ | |||||||
Axel Sandin Pellikka | D | 21 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | 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$ | |||||||
Emil Hemming | LW/RW | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
Gabriel Fortier | C | 26 | 800,000$ | 800,000$ | |||||||
Isaac Poulter | G | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Jack Peart | D | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Jackson Cates | C | 28 | 800,000$ | 800,000$ | |||||||
Kaleb Lawrence | RW | 23 | 852,500$ | 852,500$ | 852,500$ | RFA | |||||
Kevin Wall | RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Lassi Thomson | D | 25 | 900,000$ | 900,000$ | RFA | ||||||
Laurent Dauphin | LW/RW | 31 | 780,000$ | 780,000$ | UFA | ||||||
Leo Sahlin Wallenius | D | 20 | 940,000$ | 940,000$ | 940,000$ | 940,000$ | RFA | ||||
Lleyton Moore | D | 24 | 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 | 26 | 800,000$ | 800,000$ | |||||||
Philip Kemp | D | 27 | 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 | 26 | 775,000$ | 775,000$ | |||||||
Samuel Honzek | LW | 21 | 950,000$ | 950,000$ | RFA | ||||||
Scott Harrington | D | 33 | 775,000$ | 775,000$ | UFA | ||||||
Sebastian Cossa | G | 23 | 863,333$ | 863,333$ | RFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | NAN |
| Neutral Zone | NAN |
| Defensive Zone | NAN |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | NAN |
| Without Puck | NAN |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | nan | 9.57 |
| 2nd Period | nan | 20.31 |
| 3rd Period | nan | 30.68 |
| Overtime | nan | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | nan | 0.64 |
| 2nd Period | nan | 1.65 |
| 3rd Period | nan | 2.67 |
| Overtime | nan | 2.83 |
| Even Strenght Goal | 0 |
|---|---|
| PP Goal | 0 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 0 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 0 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 0 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | nan |
| Shots Against | nan |
| Goals For | nan |
| Goals Against | nan |
| Hits | nan |
| Shots Blocked | nan |
| Pim | nan |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,377,167$ | 0$ | 0$ | 1,122,833$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Barclays Center | |
| City | New York | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 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 |
| 41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 94,377,167$ | 94,377,167$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 14 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 94,377,167$ | 68,805,466$ | 68,805,466$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 2026 | ||||||||
| 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 | |||
| Felix Nilsson | 2023 | 50 | |||
| 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 | |||
| Roger McQueen | 2025 | 7 | |||
| Vojtech Hradec | 2024 | 186 | |||
| Voljtech Cihar | 2025 | 61 | |||
| Will McIsaac | 2024 | 159 |

