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Full Scoreboard »» |
New York Islanders 1-1-1, 3pts · 13th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 64 | 37 | 76 | 75 | 72 | 87 | 90 | 76 | 86 | 76 | 80 | 56 | 78 | 84 | 81 | 0 | 42 | 84 | 35 | 6,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 85 | 45 | 76 | 64 | 81 | 84 | 89 | 66 | 79 | 67 | 69 | 77 | 67 | 89 | 92 | 0 | 39 | 81 | 37 | 4,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 63 | 32 | 88 | 68 | 70 | 85 | 87 | 68 | 62 | 67 | 73 | 61 | 70 | 80 | 79 | 0 | 39 | 79 | 33 | 6,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 76 | 34 | 76 | 59 | 76 | 81 | 88 | 61 | 85 | 61 | 66 | 86 | 64 | 84 | 82 | 0 | 39 | 77 | 35 | 3,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 70 | 34 | 83 | 62 | 70 | 80 | 89 | 66 | 77 | 70 | 64 | 66 | 65 | 80 | 78 | 0 | 39 | 77 | 32 | 3,750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 34 | 86 | 64 | 75 | 79 | 89 | 63 | 59 | 66 | 66 | 68 | 64 | 75 | 74 | 0 | 39 | 76 | 30 | 3,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 60 | 32 | 93 | 64 | 70 | 77 | 82 | 64 | 56 | 64 | 68 | 54 | 66 | 75 | 74 | 0 | 39 | 75 | 30 | 4,675,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 49 | 57 | 66 | 73 | 79 | 89 | 63 | 78 | 73 | 61 | 55 | 62 | 75 | 71 | 0 | 39 | 75 | 30 | 6,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 31 | 93 | 65 | 64 | 74 | 75 | 60 | 60 | 65 | 63 | 61 | 62 | 65 | 64 | 0 | 42 | 73 | 24 | 900,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 82 | 35 | 90 | 56 | 79 | 75 | 80 | 60 | 58 | 58 | 66 | 57 | 63 | 70 | 69 | 0 | 39 | 72 | 27 | 775,000$/2yrs | |||
![]() | 17 | RW | 100.00 | 85 | 55 | 70 | 57 | 76 | 74 | 72 | 56 | 75 | 56 | 56 | 69 | 56 | 69 | 66 | 0 | 42 | 70 | 27 | 800,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 67 | 43 | 79 | 57 | 81 | 73 | 77 | 56 | 61 | 58 | 58 | 61 | 57 | 66 | 64 | 0 | 39 | 69 | 25 | 1,200,000$/3yrs | |||
![]() | 44 | D | 100.00 | 71 | 45 | 71 | 58 | 91 | 88 | 80 | 66 | 30 | 66 | 58 | 84 | 62 | 81 | 79 | 0 | 39 | 79 | 33 | 4,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 80 | 42 | 72 | 56 | 86 | 90 | 83 | 62 | 30 | 64 | 55 | 80 | 58 | 79 | 76 | 0 | 39 | 77 | 32 | 4,400,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 33 | 87 | 63 | 67 | 88 | 88 | 60 | 30 | 70 | 54 | 64 | 57 | 77 | 76 | 0 | 39 | 77 | 31 | 4,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 33 | 77 | 60 | 78 | 89 | 69 | 57 | 30 | 70 | 56 | 57 | 56 | 80 | 77 | 0 | 39 | 75 | 33 | 6,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 32 | 90 | 60 | 66 | 88 | 79 | 55 | 30 | 65 | 62 | 59 | 58 | 60 | 59 | 0 | 39 | 73 | 22 | 844,167$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 33 | 88 | 55 | 80 | 81 | 82 | 51 | 30 | 58 | 53 | 60 | 52 | 80 | 79 | 0 | 39 | 70 | 33 | 2,700,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 64 | 32 | 83 | 66 | 68 | 81 | 77 | 66 | 75 | 64 | 70 | 60 | 68 | 84 | 82 | 0 | 37 | 77 | 35 | 3,333,000$/2yrs | |||
![]() | 0 | C | 100.00 | 60 | 33 | 83 | 64 | 82 | 85 | 75 | 62 | 81 | 66 | 63 | 67 | 62 | 80 | 79 | 0 | 37 | 75 | 33 | 2,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 32 | 90 | 58 | 73 | 82 | 72 | 60 | 59 | 63 | 60 | 56 | 60 | 76 | 76 | 0 | 37 | 72 | 31 | 2,000,000$/1yrs | |||
![]() | 73 | LW/RW | 100.00 | 87 | 44 | 89 | 55 | 83 | 68 | 69 | 53 | 71 | 54 | 56 | 58 | 54 | 75 | 74 | 0 | 37 | 69 | 30 | 1,500,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 70 | 33 | 91 | 55 | 80 | 72 | 79 | 53 | 80 | 54 | 57 | 64 | 55 | 66 | 65 | 0 | 37 | 68 | 25 | 1,100,000$/2yrs | |||
![]() | 0 | C | 100.00 | 52 | 33 | 95 | 55 | 78 | 74 | 68 | 51 | 73 | 59 | 50 | 55 | 51 | 60 | 60 | 0 | 40 | 65 | 22 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 33 | 88 | 55 | 80 | 82 | 78 | 55 | 30 | 58 | 60 | 72 | 58 | 89 | 88 | 0 | 37 | 74 | 38 | 4,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 32 | 80 | 60 | 68 | 93 | 60 | 60 | 30 | 52 | 52 | 60 | 79 | 81 | 81 | 0 | 37 | 70 | 34 | 6,250,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 68 | 37 | 83 | 61 | 76 | 81 | 79 | 60 | 58 | 63 | 61 | 64 | 62 | 76 | 75 | 0 | 39 | 74 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 5 | 97.00 | 88 | 92 | 79 | 74 | 88 | 78 | 88 | 92 | 84 | 93 | 88 | 78 | 83 | 0 | 39 | 89 | 31 | 4,000,000$/4yrs |
![]() | 0 | 100.00 | 76 | 68 | 69 | 87 | 87 | 77 | 85 | 85 | 84 | 87 | 85 | 79 | 83 | 0 | 40 | 85 | 32 | 3,000,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 82 | 80 | 74 | 81 | 88 | 78 | 87 | 89 | 84 | 90 | 87 | 79 | 83 | 0 | 40 | 87 |
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 |
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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 |
# | 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 | Connor Murphy | 0 | D | 3 | 2 | 2 | 4 | -1 | 4 | 0 | 12 | 8 | 4 | 3 | 25.00% | 4 | 24.69 | 1 | 2 | 3 | 12 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | |
2 | Erik Gudbranson | 44 | D | 3 | 1 | 3 | 4 | -1 | 2 | 0 | 3 | 9 | 0 | 6 | 11.11% | 6 | 25.16 | 1 | 2 | 3 | 12 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.06 | 0 | 0 | |
3 | Nazem Kadri | 0 | C | 3 | 2 | 1 | 3 | 0 | 0 | 0 | 5 | 10 | 3 | 8 | 20.00% | 0 | 13.49 | 1 | 1 | 2 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 48.78% | 41 | 0 | 0 | 0 | 0 | 1.48 | 0 | 0 | |
4 | Nick Foligno | 0 | C/LW/RW | 3 | 0 | 3 | 3 | -2 | 4 | 0 | 13 | 12 | 2 | 9 | 0.00% | 3 | 23.47 | 0 | 2 | 2 | 12 | 0 | 0 | 0 | 11 | 0 | 0 | 57.02% | 121 | 0 | 0 | 0 | 0 | 0.85 | 0 | 1 | |
5 | Jaden Schwartz | 0 | LW | 3 | 2 | 0 | 2 | -2 | 0 | 0 | 2 | 12 | 5 | 6 | 16.67% | 1 | 24.08 | 1 | 0 | 1 | 12 | 0 | 0 | 0 | 12 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.55 | 0 | 1 | |
6 | Victor Olofsson | 0 | LW/RW | 3 | 0 | 2 | 2 | -1 | 0 | 0 | 0 | 1 | 0 | 3 | 0.00% | 0 | 15.05 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | |
7 | Vladislav Namestnikov | 0 | C/LW/RW | 3 | 1 | 1 | 2 | -1 | 0 | 0 | 7 | 7 | 3 | 8 | 14.29% | 0 | 19.23 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 5 | 0 | 0 | 21.74% | 23 | 0 | 0 | 0 | 0 | 0.69 | 1 | 1 | |
8 | Danton Heinen | 0 | LW/RW | 3 | 0 | 1 | 1 | -1 | 2 | 0 | 1 | 6 | 6 | 5 | 0.00% | 0 | 19.59 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 7 | 0 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
9 | Justin Holl | 0 | D | 3 | 0 | 1 | 1 | -3 | 4 | 0 | 3 | 0 | 0 | 0 | 0.00% | 1 | 13.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
10 | Matt Grzelcyk | 0 | D | 3 | 0 | 1 | 1 | -1 | 2 | 0 | 3 | 4 | 2 | 3 | 0.00% | 3 | 21.83 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
11 | Jakob Pelletier | 0 | C/LW | 3 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 3 | 0 | 1 | 0.00% | 1 | 9.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
12 | John Klingberg | 0 | D | 3 | 0 | 0 | 0 | -1 | 2 | 0 | 10 | 0 | 1 | 1 | 0.00% | 10 | 22.89 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
13 | Max Domi | 0 | C/LW/RW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.00% | 2 | 17.11 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 1 | 0 | 0 | 48.98% | 49 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Nic Dowd | 0 | C/RW | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 7 | 3 | 2 | 0.00% | 0 | 8.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.12% | 34 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Reese Johnson | 17 | RW | 3 | 0 | 0 | 0 | -2 | 2 | 0 | 2 | 2 | 0 | 2 | 0.00% | 0 | 7.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Mitchell Chaffee | 0 | RW | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 7.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Oliver Wahlstrom | 0 | RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 1 | 0.00% | 0 | 9.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Olen Zellweger | 0 | D | 3 | 0 | 0 | 0 | -3 | 4 | 0 | 5 | 0 | 0 | 1 | 0.00% | 5 | 13.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 54 | 8 | 16 | 24 | -24 | 28 | 0 | 75 | 88 | 29 | 63 | 9.09% | 36 | 16.46 | 4 | 8 | 12 | 115 | 0 | 0 | 0 | 82 | 0 | 0 | 49.49% | 293 | 0 | 0 | 0 | 0 | 0.54 | 1 | 3 |
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 | 3 | 1 | 1 | 1 | 0.913 | 3.57 | 185 | 0 | 0 | 11 | 126 | 0 | 0 | 0 | 1.000 | 3 | 3 | 0 | 0 | 0 | 0 | |
Team Total or Average | 3 | 1 | 1 | 1 | 0.913 | 3.57 | 185 | 0 | 0 | 11 | 126 | 0 | 0 | 0 | 1.000 | 3 | 3 | 0 | 0 | 0 | 0 |
Projected Total Cap Hit | 72,703,606$ |
Projected Cap Space | 22,796,394$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 3,393,088$ |
Players In Salary Cap | 28 |
LTIR Players | 0 |
Islanders Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne ![]() | LW/RW | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Alexander Barabanov ![]() | LW/RW | 31 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Charlie Lindgren ![]() | G | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Connor Murphy ![]() | D | 32 | 4,400,000$ | 4,400,000$ | UFA | ||||||
Danton Heinen ![]() | LW/RW | 30 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Erik Gudbranson ![]() | D | 33 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Evgeny Kuznetsov ![]() | C | 33 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Jaden Schwartz ![]() | LW | 33 | 6,000,000$ | 6,000,000$ | UFA | ||||||
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 | 37 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Olen Zellweger ![]() | D | 22 | 844,167$ | 844,167$ | RFA | ||||||
Oliver Kapanen ![]() | C | 22 | 925,000$ | 925,000$ | 925,000$ | 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 | ||||||
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$ | ![]() | ||||||
Peter Diliberatore ![]() | D | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Philip Kemp ![]() | D | 26 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Quinn Schmiemann ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Raivis Ansons ![]() | C | 28 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Samuel Bitten ![]() | C | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Samuel Honzek ![]() | LW | 20 | 950,000$ | 950,000$ | RFA | ||||||
Scott Harrington ![]() | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Sebastian Cossa ![]() | G | 22 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 18 | 6 | 7 | 5 | 0 | 42 | 14 | 12 | 26 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 53 | 109 | 48.62% | 64 | 128 | 50.00% | 28 | 47 | 59.57% | 24 | 17 | 23 | 6 | 12 | 6 | 33.3% | 5.6% | 92.9% | 98.4 | DULL | |
2 | 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 | 53 | 109 | 48.62% | 64 | 128 | 50.00% | 28 | 47 | 59.57% | 28 | 20 | 23 | 7 | 13 | 6 | 50.0% | 15.6% | 87.9% | 103.5 | FUN | |
3 | 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 | 53 | 109 | 48.62% | 64 | 128 | 50.00% | 28 | 47 | 59.57% | 21 | 14 | 26 | 7 | 11 | 5 | 20.0% | 7.9% | 92.2% | 100.1 | DULL | |
_Vs Division | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 56 | 26 | 16 | 14 | 0 | 93 | 24 | 20 | 49 | 10 | 2 | 20.00% | 10 | 1 | 90.00% | 0 | 53 | 109 | 48.62% | 64 | 128 | 50.00% | 28 | 47 | 59.57% | 46 | 31 | 49 | 14 | 24 | 12 | 25.0% | 7.1% | 92.5% | 99.6 | DULL | |
_Vs Conference | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 56 | 26 | 16 | 14 | 0 | 93 | 24 | 20 | 49 | 10 | 2 | 20.00% | 10 | 1 | 90.00% | 0 | 53 | 109 | 48.62% | 64 | 128 | 50.00% | 28 | 47 | 59.57% | 46 | 31 | 49 | 14 | 24 | 12 | 25.0% | 7.1% | 92.5% | 99.6 | DULL | |
_Since Last GM Reset | 3 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 9 | 11 | -2 | 3 | 0.500 | 9 | 16 | 25 | 0 | 0 | 4 | 3 | 1 | 1 | 88 | 37 | 23 | 24 | 7 | 126 | 36 | 28 | 75 | 16 | 4 | 25.00% | 14 | 2 | 85.71% | 0 | 53 | 109 | 48.62% | 64 | 128 | 50.00% | 28 | 47 | 59.57% | 74 | 51 | 72 | 21 | 37 | 19 | 35.7% | 10.2% | 91.3% | 101.5 | LUCKY | |
Total | 3 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 9 | 11 | -2 | 3 | 0.500 | 9 | 16 | 25 | 0 | 0 | 4 | 3 | 1 | 1 | 88 | 37 | 23 | 24 | 7 | 126 | 36 | 28 | 75 | 16 | 4 | 25.00% | 14 | 2 | 85.71% | 0 | 53 | 109 | 48.62% | 64 | 128 | 50.00% | 28 | 47 | 59.57% | 74 | 51 | 72 | 21 | 37 | 19 | 35.7% | 10.2% | 91.3% | 101.5 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 109 |
Neutral Zone Start | 47 |
Defensive Zone Start | 128 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 145 |
Faceoffs Lost | 139 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.3 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 28.0 | 30.68 |
Overtime | 30.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 5 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 1 | 0 |
Overtime Lost | 0 | 1 |
PP Attempt | 16 |
---|---|
PP Goal | 4 |
PK Attempt | 14 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 29.3 |
Shots Against | 42.0 |
Goals For | 3.0 |
Goals Against | 3.7 |
Hits | 25.0 |
Shots Blocked | 12.0 |
Pim | 9.3 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,719,167$ | 0$ | 72,703,606$ | 22,780,833$ |
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 | 11084 | 8940 | 3808 | 7706 | 2000 |
Attendance PCT | 92.37% | 89.40% | 95.20% | 96.33% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 16769 - 93.16% | 1,540,975$ | 3,081,949$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
72,719,167$ | 72,719,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,439,960$ | 378,746$ | 3,393,088$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
60,098,006$ | 183 | 383,954$ | 70,263,582$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
73,628,862$ | 72,719,167$ | 88,425,710$ | 74,894,854$ |
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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 | |||
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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