 | Islanders |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Will Clarke | Morale : 50 | Team Overall : 71 |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | # | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Alex Steeves | 0 | X | 100.00 | 63 | 59 | 75 | 77 | 89 | 69 | 71 | 79 | 69 | 68 | 70 | 68 | 45 | 67 | 68 | 0 | 50 | 79 | 0 | 24 | 3 | 892,500$ | ||||
| 2 | Nico Sturm | 0 | X | 100.00 | 82 | 69 | 99 | 72 | 98 | 52 | 75 | 60 | 90 | 75 | 65 | 80 | 45 | 72 | 71 | 0 | 50 | 78 | 0 | 29 | 1 | 909,090$ | ||||
| 3 | Connor Dewar | 0 | X | 100.00 | 86 | 69 | 99 | 72 | 96 | 49 | 68 | 59 | 76 | 73 | 64 | 78 | 44 | 67 | 68 | 0 | 50 | 77 | 0 | 25 | 1 | 869,500$ | ||||
| 4 | Jesper Boqvist | 0 | X | X | X | 100.00 | 86 | 50 | 99 | 70 | 98 | 54 | 94 | 60 | 71 | 75 | 68 | 70 | 45 | 70 | 71 | 0 | 50 | 77 | 0 | 25 | 1 | 869,500$ | ||
| 5 | A.J. Greer (A) | 0 | X | 100.00 | 90 | 73 | 88 | 70 | 98 | 41 | 98 | 60 | 57 | 75 | 65 | 70 | 45 | 70 | 71 | 0 | 50 | 76 | 0 | 27 | 3 | 969,000$ | ||||
| 6 | Nolan Foote (R) | 0 | X | X | 100.00 | 56 | 53 | 75 | 73 | 86 | 62 | 70 | 76 | 62 | 68 | 66 | 50 | 45 | 65 | 67 | 0 | 50 | 74 | 0 | 23 | 2 | 925,000$ | |||
| 7 | Justin Robidas (R) | 0 | X | 100.00 | 55 | 50 | 75 | 74 | 80 | 82 | 84 | 72 | 71 | 68 | 64 | 50 | 45 | 62 | 64 | 0 | 50 | 73 | 0 | 21 | 3 | 925,000$ | ||||
| 8 | Vasily Ponomarev | 0 | X | 100.00 | 60 | 57 | 75 | 72 | 86 | 65 | 70 | 74 | 73 | 68 | 61 | 50 | 45 | 63 | 64 | 0 | 50 | 72 | 0 | 22 | 1 | 925,000$ | ||||
| 9 | Alexis Gendron | 0 | X | 100.00 | 65 | 61 | 75 | 60 | 84 | 74 | 76 | 66 | 55 | 68 | 65 | 50 | 45 | 62 | 64 | 0 | 50 | 71 | 0 | 20 | 2 | 860,000$ | ||||
| 10 | Jack Finley | 0 | X | 100.00 | 55 | 52 | 71 | 67 | 84 | 55 | 67 | 70 | 69 | 65 | 61 | 65 | 43 | 63 | 65 | 0 | 50 | 71 | 0 | 21 | 3 | 798,250$ | ||||
| 11 | Michael Milne | 0 | X | 100.00 | 66 | 62 | 75 | 62 | 80 | 71 | 72 | 65 | 53 | 68 | 62 | 50 | 45 | 63 | 64 | 0 | 50 | 70 | 0 | 21 | 1 | 925,000$ | ||||
| 12 | Jett Woo | 0 | X | 100.00 | 75 | 71 | 75 | 60 | 80 | 79 | 81 | 60 | 30 | 68 | 60 | 59 | 45 | 65 | 67 | 0 | 50 | 71 | 0 | 23 | 2 | 798,250$ | ||||
| 13 | Calen Addison | 0 | X | 100.00 | 72 | 67 | 75 | 62 | 80 | 73 | 75 | 63 | 30 | 68 | 60 | 50 | 45 | 65 | 67 | 0 | 50 | 70 | 0 | 24 | 2 | 775,500$ | ||||
| 14 | Ty Gallagher (R) | 0 | X | 100.00 | 48 | 44 | 66 | 53 | 85 | 51 | 61 | 59 | 30 | 60 | 53 | 55 | 39 | 62 | 64 | 0 | 50 | 62 | 0 | 21 | 3 | 925,000$ | ||||
| Scratches | ||||||||||||||||||||||||||||||
| 1 | Jake Leschyshyn | 0 | X | 100.00 | 58 | 54 | 75 | 60 | 80 | 81 | 83 | 65 | 67 | 68 | 60 | 50 | 45 | 66 | 68 | 0 | 50 | 69 | 0 | 25 | 1 | 869,500$ | ||||
| 2 | Hunter McKown | 0 | X | 100.00 | 55 | 50 | 75 | 62 | 80 | 80 | 82 | 63 | 65 | 68 | 60 | 50 | 45 | 63 | 65 | 0 | 50 | 69 | 0 | 21 | 1 | 925,000$ | ||||
| 3 | Nikita Chibrikov | 0 | X | 100.00 | 52 | 48 | 71 | 66 | 85 | 55 | 67 | 68 | 61 | 65 | 60 | 48 | 43 | 62 | 64 | 0 | 50 | 68 | 0 | 21 | 2 | 875,833$ | ||||
| 4 | Josh Filmon (R) | 0 | X | 100.00 | 50 | 45 | 68 | 54 | 72 | 52 | 63 | 54 | 55 | 61 | 54 | 45 | 41 | 61 | 63 | 0 | 50 | 60 | 0 | 20 | 3 | 925,000$ | ||||
| TEAM AVERAGE | 100.00 | 65 | 57 | 78 | 66 | 86 | 64 | 75 | 65 | 60 | 68 | 62 | 58 | 44 | 65 | 66 | 0 | 50 | 72 | |||||||||||
| 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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Brandon Bussi | 0 | 100.00 | 79 | 70 | 71 | 76 | 78 | 80 | 80 | 75 | 76 | 70 | 72 | 67 | 77 | 0 | 50 | 77 | 0 | 26 | 1 | 750,000$ | |
| 2 | Calle Clang | 0 | 100.00 | 70 | 70 | 65 | 74 | 81 | 79 | 77 | 77 | 70 | 70 | 74 | 63 | 69 | 0 | 50 | 75 | 0 | 22 | 3 | 750,000$ | |
| Scratches | ||||||||||||||||||||||||
| 1 | Jakub Skarek | 0 | 100.00 | 74 | 67 | 54 | 68 | 78 | 74 | 72 | 73 | 69 | 67 | 57 | 66 | 75 | 0 | 50 | 72 | 0 | 24 | 2 | 806,000$ | |
| 2 | Dennis Hildeby | 0 | 100.00 | 75 | 73 | 56 | 71 | 70 | 74 | 71 | 70 | 73 | 83 | 50 | 64 | 71 | 0 | 50 | 71 | 0 | 22 | 2 | 843,333$ | |
| 3 | Cameron Whitehead (R) | 0 | 100.00 | 53 | 53 | 53 | 54 | 61 | 60 | 55 | 56 | 49 | 53 | 45 | 62 | 67 | 0 | 50 | 55 | 0 | 21 | 3 | 925,000$ | |
| TEAM AVERAGE | 100.00 | 70 | 67 | 60 | 69 | 74 | 73 | 71 | 70 | 67 | 69 | 60 | 64 | 72 | 0 | 50 | 70 | |||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| 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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| 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 |
|---|
| 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 | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A.J. Greer | Islanders (NYI) | LW | 27 | 1996-12-14 | CAN | No | 209 Lbs | 6 ft3 | No | No | Free Agent | No | No | 3 | 2025-09-27 | False | False | Pro & Farm | 969,000$ | 969,000$ | 0$ | 0$ | No | 969,000$ | 969,000$ | - | - | - | - | - | - | - | 969,000$ | 969,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Alex Steeves | Islanders (NYI) | C | 24 | 1999-12-10 | USA | No | 202 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2025-09-27 | False | False | Pro & Farm | 892,500$ | 892,500$ | 0$ | 0$ | No | 892,500$ | 892,500$ | - | - | - | - | - | - | - | 892,500$ | 892,500$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Alexis Gendron | Islanders (NYI) | RW | 20 | 2003-12-30 | CAN | No | 187 Lbs | 5 ft10 | No | No | Prospect | No | No | 2 | 2025-09-27 | False | False | Pro & Farm | 860,000$ | 860,000$ | 0$ | 0$ | No | 860,000$ | - | - | - | - | - | - | - | - | 860,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Brandon Bussi | Islanders (NYI) | G | 26 | 1998-06-25 | USA | No | 218 Lbs | 6 ft5 | No | No | Free Agent | No | No | 1 | 2025-09-27 | False | False | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Calen Addison | Islanders (NYI) | D | 24 | 2000-04-11 | CAN | No | 173 Lbs | 5 ft11 | No | No | Free Agent | No | No | 2 | 2025-09-27 | False | False | Pro & Farm | 775,500$ | 775,500$ | 0$ | 0$ | No | 775,500$ | - | - | - | - | - | - | - | - | 775,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Calle Clang | Islanders (NYI) | G | 22 | 2002-05-20 | SWE | No | 198 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-09-27 | False | False | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Cameron Whitehead | Islanders (NYI) | G | 21 | 2003-06-13 | CAN | Yes | 189 Lbs | 6 ft3 | No | No | Prospect | No | No | 3 | 2025-09-27 | False | False | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Connor Dewar | Islanders (NYI) | C | 25 | 1999-06-26 | CAN | No | 192 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | 2025-09-27 | False | False | Pro & Farm | 869,500$ | 869,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Dennis Hildeby | Islanders (NYI) | G | 22 | 2001-08-19 | SWE | No | 224 Lbs | 6 ft7 | No | No | Prospect | No | No | 2 | 2025-09-27 | False | False | Pro & Farm | 843,333$ | 843,333$ | 0$ | 0$ | No | 843,333$ | - | - | - | - | - | - | - | - | 843,333$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Hunter McKown | Islanders (NYI) | C | 21 | 2002-08-18 | USA | No | 192 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2025-09-27 | False | False | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Jack Finley | Islanders (NYI) | C | 21 | 2002-09-02 | USA | No | 220 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | 2025-09-27 | False | False | Pro & Farm | 798,250$ | 798,250$ | 0$ | 0$ | No | 798,250$ | 798,250$ | - | - | - | - | - | - | - | 798,250$ | 798,250$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Jake Leschyshyn | Islanders (NYI) | C | 25 | 1999-03-10 | USA | No | 196 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | 2025-09-27 | False | False | Pro & Farm | 869,500$ | 869,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Jakub Skarek | Islanders (NYI) | G | 24 | 1999-11-10 | CZE | No | 211 Lbs | 6 ft4 | No | No | Free Agent | No | No | 2 | 2025-09-27 | False | False | Farm Only | 806,000$ | 806,000$ | 0$ | 0$ | No | 806,000$ | - | - | - | - | - | - | - | - | 806,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Jesper Boqvist | Islanders (NYI) | C/LW/RW | 25 | 1998-10-30 | SWE | No | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2025-09-27 | False | False | Pro & Farm | 869,500$ | 869,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Jett Woo | Islanders (NYI) | D | 23 | 2000-07-27 | CAN | No | 205 Lbs | 6 ft0 | No | No | Free Agent | No | No | 2 | 2025-09-27 | False | False | Pro & Farm | 798,250$ | 798,250$ | 0$ | 0$ | No | 798,250$ | - | - | - | - | - | - | - | - | 798,250$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Josh Filmon | Islanders (NYI) | LW | 20 | 2004-03-18 | CAN | Yes | 160 Lbs | 6 ft1 | No | No | Prospect | No | No | 3 | 2025-09-27 | False | False | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Justin Robidas | Islanders (NYI) | C | 21 | 2003-03-13 | USA | Yes | 176 Lbs | 5 ft8 | No | No | Prospect | No | No | 3 | 2025-09-27 | False | False | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Michael Milne | Islanders (NYI) | LW | 21 | 2002-09-21 | CAN | No | 185 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | 2025-09-27 | False | False | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Nico Sturm | Islanders (NYI) | C | 29 | 1995-05-03 | DEU | No | 209 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | 2025-09-27 | False | False | Pro & Farm | 909,090$ | 909,090$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Nikita Chibrikov | Islanders (NYI) | RW | 21 | 2003-02-16 | RUS | No | 170 Lbs | 5 ft10 | No | No | Prospect | No | No | 2 | 2025-09-27 | False | False | Pro & Farm | 875,833$ | 875,833$ | 0$ | 0$ | No | 875,833$ | - | - | - | - | - | - | - | - | 875,833$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Nolan Foote | Islanders (NYI) | LW/RW | 23 | 2000-11-29 | USA | Yes | 196 Lbs | 6 ft3 | No | No | Draft | No | No | 2 | 2025-09-27 | False | False | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Ty Gallagher | Islanders (NYI) | D | 21 | 2003-03-06 | USA | Yes | 192 Lbs | 6 ft0 | No | No | Prospect | No | No | 3 | 2025-09-27 | False | False | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Vasily Ponomarev | Islanders (NYI) | C | 22 | 2002-03-13 | RUS | No | 180 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | 2025-09-27 | False | False | Farm Only | 925,000$ | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 23 | 22.96 | 195 Lbs | 6 ft1 | 2.00 | 871,142$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 30 | 1 | 2 | 2 | |||
| 2 | Connor Dewar | 30 | 1 | 2 | 2 | ||
| 3 | Jesper Boqvist | 20 | 1 | 2 | 2 | ||
| 4 | Connor Dewar | 20 | 1 | 2 | 2 | ||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Jett Woo | 30 | 1 | 2 | 2 | ||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Jett Woo | 20 | 1 | 2 | 2 | ||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | |||
| 2 | Connor Dewar | 50 | 1 | 2 | 2 | ||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Jett Woo | 50 | 1 | 2 | 2 | ||
| 2 | 50 | 1 | 2 | 2 | |||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Connor Dewar | 50 | 1 | 2 | 2 | |
| 2 | Jesper Boqvist | 50 | 1 | 2 | 2 | |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Jett Woo | 50 | 1 | 2 | 2 | |
| 2 | 50 | 1 | 2 | 2 | ||
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | Jett Woo | 50 | 1 | 2 | 2 | ||
| 2 | Connor Dewar | 50 | 1 | 2 | 2 | 50 | 1 | 2 | 2 | ||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Connor Dewar | 50 | 1 | 2 | 2 | |
| 2 | Jesper Boqvist | 50 | 1 | 2 | 2 | |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Jett Woo | 50 | 1 | 2 | 2 | |
| 2 | 50 | 1 | 2 | 2 | ||
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Jett Woo | ||||
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Jett Woo | ||||
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Vasily Ponomarev, , | Vasily Ponomarev, | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Penalty Shots |
|---|
| , Connor Dewar, , Jesper Boqvist, |
| Goalie |
|---|
| #1 : Brandon Bussi, #2 : |
| Custom OT Lines Forwards |
|---|
| , Connor Dewar, , Jesper Boqvist, , , , , Vasily Ponomarev, |
| Custom OT Lines Defensemen |
|---|
| , Jett Woo, , , |
| 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 |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 0 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 0 | 0 | 0 | 0 | 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 |
| Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
|---|
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 3500 | 1500 |
| Ticket Price | 50 | 25 |
| Attendance | 0% | 0% |
| Attendance PCT | 0% | 0% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 41 | 0 - 0% | 0$ | 0$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
| 0$ | 0$ | 0$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 0$ |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
