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Full Scoreboard »» |
New York Islanders 24-37-5, 53pts · 15th 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 | LW/RW | 100.00 | 89 | 42 | 60 | 69 | 83 | 85 | 83 | 70 | 60 | 67 | 77 | 60 | 73 | 81 | 77 | 0 | 27 | 81 | 33 | 7,000,000$/1yrs | |||
![]() | 0 | LW | 99.00 | 64 | 32 | 88 | 67 | 70 | 84 | 86 | 68 | 75 | 67 | 72 | 61 | 70 | 79 | 90 | 0 | 30 | 79 | 32 | 6,000,000$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 66 | 42 | 86 | 68 | 95 | 79 | 87 | 67 | 59 | 66 | 71 | 58 | 69 | 75 | 74 | 0 | 30 | 78 | 30 | 3,500,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 32 | 88 | 67 | 68 | 82 | 84 | 67 | 74 | 67 | 70 | 62 | 69 | 83 | 81 | 0 | 21 | 78 | 34 | 3,333,000$/3yrs | |||
![]() | 0 | C/RW | 96.00 | 59 | 34 | 90 | 71 | 71 | 84 | 90 | 68 | 73 | 66 | 74 | 66 | 71 | 63 | 62 | 0 | 35 | 78 | 23 | 3,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 38 | 80 | 63 | 63 | 74 | 90 | 66 | 72 | 63 | 70 | 70 | 66 | 76 | 74 | 0 | 34 | 76 | 32 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 32 | 97 | 66 | 70 | 77 | 85 | 66 | 56 | 61 | 73 | 54 | 69 | 74 | 73 | 0 | 30 | 76 | 29 | 4,675,000$/2yrs | |||
![]() | 73 | LW/RW | 100.00 | 85 | 39 | 88 | 57 | 83 | 75 | 78 | 59 | 60 | 60 | 61 | 72 | 60 | 74 | 73 | 0 | 31 | 74 | 29 | 1,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 70 | 33 | 92 | 55 | 76 | 78 | 89 | 61 | 59 | 64 | 61 | 66 | 61 | 80 | 79 | 0 | 21 | 73 | 33 | 1,800,000$/1yrs | |||
![]() | 63 | C/LW/RW | 100.00 | 60 | 38 | 91 | 58 | 68 | 70 | 80 | 67 | 73 | 65 | 56 | 71 | 61 | 75 | 74 | 0 | 30 | 73 | 31 | 775,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 35 | 91 | 55 | 80 | 76 | 87 | 60 | 74 | 58 | 63 | 69 | 62 | 76 | 84 | 0 | 32 | 73 | 31 | 1,255,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 88 | 33 | 95 | 55 | 79 | 74 | 70 | 61 | 55 | 58 | 63 | 60 | 62 | 69 | 68 | 0 | 20 | 72 | 27 | 800,000$/1yrs | |||
![]() | 0 | D | 99.00 | 65 | 33 | 96 | 70 | 79 | 97 | 90 | 67 | 30 | 74 | 54 | 84 | 60 | 62 | 62 | 0 | 30 | 82 | 22 | 4,100,000$/3yrs | |||
![]() | 44 | D | 98.00 | 72 | 46 | 70 | 57 | 91 | 90 | 88 | 65 | 30 | 64 | 57 | 82 | 61 | 80 | 77 | 0 | 28 | 78 | 33 | 4,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 66 | 33 | 82 | 63 | 78 | 90 | 78 | 60 | 30 | 70 | 64 | 59 | 62 | 79 | 77 | 0 | 21 | 78 | 32 | 6,500,000$/3yrs | |||
![]() | 0 | D | 99.00 | 81 | 47 | 70 | 55 | 86 | 88 | 85 | 60 | 30 | 58 | 59 | 82 | 59 | 78 | 85 | 0 | 28 | 76 | 32 | 4,400,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 35 | 82 | 55 | 80 | 86 | 83 | 59 | 30 | 62 | 53 | 73 | 56 | 80 | 78 | 0 | 24 | 75 | 33 | 2,700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 32 | 94 | 62 | 66 | 88 | 69 | 58 | 30 | 67 | 59 | 61 | 59 | 59 | 59 | 0 | 21 | 74 | 21 | 844,167$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 62 | 32 | 90 | 65 | 73 | 84 | 83 | 66 | 59 | 71 | 66 | 54 | 66 | 75 | 74 | 0 | 19 | 77 | 30 | 2,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 32 | 87 | 64 | 74 | 80 | 86 | 64 | 60 | 66 | 67 | 58 | 65 | 83 | 82 | 0 | 20 | 76 | 35 | 2,000,000$/2yrs | |||
TEAM AVERAGE | 99.50 | 69 | 36 | 86 | 62 | 77 | 82 | 84 | 64 | 54 | 65 | 65 | 66 | 64 | 75 | 75 | 0 | 27 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 75 | 71 | 70 | 87 | 80 | 74 | 77 | 76 | 77 | 77 | 77 | 77 | 79 | 0 | 25 | 81 | 32 | 3,000,000$/4yrs |
![]() | 30 | 96.00 | 71 | 85 | 65 | 86 | 69 | 81 | 71 | 70 | 81 | 68 | 71 | 76 | 79 | 0 | 29 | 79 | 31 | 800,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.00 | 73 | 78 | 68 | 87 | 75 | 78 | 74 | 73 | 79 | 73 | 74 | 77 | 79 | 0 | 27 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Hynes | 78 | 79 | 87 | 79 | 73 | 66 | 78 | USA | 48 | 5 | 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 | Jaden Schwartz | 0 | LW | 66 | 22 | 29 | 51 | -9 | 17 | 5 | 44 | 200 | 60 | 119 | 11.00% | 6 | 20.28 | 3 | 5 | 8 | 207 | 0 | 0 | 0 | 130 | 3 | 2 | 46.85% | 111 | 0 | 0 | 0 | 0 | 0.76 | 0 | 1 | |
2 | Jake Sanderson | 0 | D | 66 | 9 | 37 | 46 | -22 | 28 | 0 | 48 | 130 | 53 | 87 | 6.92% | 100 | 25.40 | 3 | 8 | 11 | 237 | 0 | 1 | 1 | 240 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
3 | Evander Kane | 0 | LW/RW | 66 | 22 | 23 | 45 | -15 | 109 | 15 | 264 | 212 | 46 | 132 | 10.38% | 5 | 20.35 | 4 | 7 | 11 | 214 | 0 | 0 | 0 | 127 | 4 | 3 | 36.36% | 121 | 0 | 0 | 0 | 1 | 0.67 | 0 | 3 | |
4 | Anthony Mantha | 0 | LW/RW | 66 | 16 | 21 | 37 | -7 | 16 | 0 | 78 | 163 | 39 | 99 | 9.82% | 5 | 18.73 | 3 | 4 | 7 | 203 | 0 | 0 | 0 | 135 | 5 | 0 | 45.42% | 273 | 0 | 0 | 0 | 0 | 0.60 | 0 | 1 | |
5 | Rocco Grimaldi | 0 | LW/RW | 65 | 19 | 18 | 37 | 16 | 16 | 0 | 67 | 154 | 31 | 105 | 12.34% | 15 | 15.31 | 5 | 6 | 11 | 209 | 0 | 0 | 0 | 144 | 3 | 2 | 46.52% | 460 | 0 | 0 | 0 | 1 | 0.74 | 1 | 2 | |
6 | Connor Murphy | 0 | D | 66 | 7 | 30 | 37 | 1 | 110 | 10 | 169 | 96 | 29 | 57 | 7.29% | 93 | 18.89 | 4 | 7 | 11 | 186 | 0 | 0 | 0 | 112 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
7 | Dawson Mercer | 0 | C/RW | 65 | 18 | 18 | 36 | -7 | 4 | 0 | 21 | 166 | 44 | 126 | 10.84% | 12 | 19.07 | 5 | 5 | 10 | 204 | 0 | 0 | 0 | 147 | 1 | 0 | 46.82% | 1038 | 0 | 0 | 0 | 0 | 0.58 | 0 | 2 | |
8 | Erik Gudbranson | 44 | D | 66 | 9 | 25 | 34 | -34 | 104 | 20 | 168 | 98 | 32 | 59 | 9.18% | 121 | 22.73 | 4 | 7 | 11 | 194 | 0 | 0 | 0 | 198 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
9 | Tyler Johnson | 0 | C/LW/RW | 53 | 7 | 11 | 18 | 10 | 20 | 0 | 34 | 77 | 15 | 48 | 9.09% | 6 | 10.49 | 0 | 1 | 1 | 19 | 0 | 0 | 0 | 19 | 1 | 0 | 45.93% | 627 | 0 | 0 | 1 | 0 | 0.65 | 0 | 0 | |
10 | Zemgus Girgensons | 0 | C/LW/RW | 62 | 6 | 8 | 14 | -5 | 14 | 0 | 27 | 64 | 17 | 39 | 9.38% | 2 | 7.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.95% | 77 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
11 | Victor Olofsson | 0 | LW/RW | 66 | 9 | 4 | 13 | 10 | 6 | 0 | 8 | 73 | 15 | 33 | 12.33% | 1 | 8.55 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 50.00% | 40 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
12 | Olen Zellweger | 0 | D | 47 | 0 | 10 | 10 | -5 | 14 | 0 | 18 | 22 | 4 | 10 | 0.00% | 57 | 16.73 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 157 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
13 | Justin Holl | 0 | D | 31 | 2 | 6 | 8 | -4 | 8 | 0 | 37 | 20 | 6 | 7 | 10.00% | 26 | 14.46 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
14 | Adam Erne | 73 | LW/RW | 66 | 2 | 3 | 5 | -13 | 33 | 5 | 85 | 67 | 22 | 49 | 2.99% | 9 | 9.04 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 61 | 0 | 0 | 37.14% | 35 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
15 | Jesper Fast | 0 | RW | 58 | 2 | 3 | 5 | -6 | 0 | 0 | 13 | 32 | 7 | 27 | 6.25% | 5 | 8.36 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 17 | 0 | 0 | 46.05% | 215 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
16 | Mitchell Chaffee | 0 | RW | 28 | 1 | 3 | 4 | -5 | 6 | 0 | 35 | 26 | 6 | 21 | 3.85% | 3 | 10.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.17% | 23 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
17 | Matthew Peca | 63 | C/LW/RW | 27 | 2 | 1 | 3 | -7 | 0 | 0 | 0 | 28 | 6 | 15 | 7.14% | 4 | 9.41 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 0 | 1 | 51.75% | 143 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
18 | Alexander Barabanov | 0 | LW/RW | 5 | 0 | 2 | 2 | -3 | 0 | 0 | 0 | 12 | 3 | 12 | 0.00% | 0 | 14.50 | 0 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
19 | John Klingberg | 0 | D | 12 | 0 | 1 | 1 | 3 | 4 | 0 | 4 | 4 | 2 | 2 | 0.00% | 7 | 15.38 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
20 | Mike Hoffman | 0 | LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 2 | 0.00% | 1 | 15.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 982 | 153 | 253 | 406 | -103 | 509 | 55 | 1120 | 1646 | 437 | 1049 | 9.30% | 478 | 15.60 | 31 | 52 | 83 | 1726 | 0 | 1 | 1 | 1548 | 23 | 9 | 46.34% | 3170 | 0 | 0 | 1 | 2 | 0.53 | 1 | 9 |
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 | Laurent Brossoit | 43 | 16 | 21 | 4 | 0.900 | 3.24 | 2448 | 6 | 1 | 132 | 1326 | 0 | 1 | 1 | 0.750 | 8 | 42 | 19 | 3 | 0 | 2 | |
2 | Malcolm Subban | 15 | 3 | 10 | 1 | 0.872 | 4.47 | 819 | 2 | 0 | 61 | 476 | 0 | 2 | 2 | 0.667 | 3 | 14 | 22 | 0 | 0 | 0 | |
Team Total or Average | 58 | 19 | 31 | 5 | 0.893 | 3.54 | 3268 | 8 | 1 | 193 | 1802 | 0 | 3 | 3 | 0.727 | 11 | 56 | 41 | 3 | 0 | 2 |
Projected Total Cap Hit | 66,464,260$ |
Projected Cap Space | 21,535,740$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 56,426,340$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Islanders Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne ![]() | LW/RW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Alexander Barabanov ![]() | LW/RW | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Anthony Mantha ![]() | LW/RW | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Connor Murphy ![]() | D | 32 | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | |||||
Dawson Mercer ![]() | C/RW | 23 | 3,500,000$ | 3,500,000$ | 3,500,000$ | RFA | |||||
Erik Gudbranson ![]() | D | 33 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Evander Kane ![]() | LW/RW | 33 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Jaden Schwartz ![]() | LW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Jake Sanderson ![]() | D | 22 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | RFA | ||||
Jesper Fast ![]() | RW | 33 | 1,800,000$ | 1,800,000$ | UFA | ||||||
John Klingberg ![]() | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Justin Holl ![]() | D | 33 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
Laurent Brossoit | G | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Malcolm Subban ![]() | G | 31 | 800,000$ | 800,000$ | UFA | ||||||
Matthew Peca ![]() | C/LW/RW | 31 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Mike Hoffman ![]() | LW/RW | 35 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Mitchell Chaffee ![]() | RW | 27 | 800,000$ | 800,000$ | |||||||
Olen Zellweger ![]() | D | 21 | 844,167$ | 844,167$ | 844,167$ | RFA | |||||
Rocco Grimaldi ![]() | LW/RW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Tyler Johnson ![]() | C/LW/RW | 34 | 3,333,000$ | 3,333,000$ | 3,333,000$ | 3,333,000$ | UFA | ||||
Victor Olofsson ![]() | LW/RW | 29 | 4,675,000$ | 4,675,000$ | 4,675,000$ | UFA | |||||
Zemgus Girgensons ![]() | C/LW/RW | 31 | 1,255,000$ | 1,255,000$ | 1,255,000$ | 1,255,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Angus Crookshank ![]() | LW | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Axel Jonsson-Fjallby ![]() | LW | 27 | 1,100,000$ | 1,100,000$ | ![]() | ||||||
Bryce Kindopp ![]() | RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Cameron Wright ![]() | LW/RW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Casey Fitzgerald ![]() | D | 28 | 900,000$ | 900,000$ | UFA | ||||||
Colby Barlow ![]() | LW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Colton Poolman ![]() | D | 29 | 800,000$ | 800,000$ | UFA | ||||||
Dennis Yan ![]() | LW | 27 | 0$ | UFA | |||||||
Dustin Tokarski ![]() | G | 35 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Griffin Mendel ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Isaac Poulter ![]() | G | 23 | 950,000$ | 950,000$ | RFA | ||||||
Jackson Cates ![]() | C | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Kaleb Lawrence ![]() | RW | 22 | 852,500$ | 852,500$ | 852,500$ | 852,500$ | RFA | ||||
Kevin Wall ![]() | RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Lassi Thomson ![]() | D | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Lleyton Moore ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Luke Stevens ![]() | LW | 28 | 0$ | UFA | |||||||
Marc Johnstone ![]() | RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Marcus Bjork ![]() | D | 27 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Matt Tomkins ![]() | G | 30 | 775,000$ | 775,000$ | UFA | ||||||
Michael Callahan ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Mitchell Vande Sompel ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Peter Diliberatore ![]() | D | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Quinn Schmiemann ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Radim Zohorna ![]() ![]() | LW/RW | 28 | 850,000$ | 850,000$ | UFA | ||||||
Raivis Ansons ![]() | C | 27 | 844,167$ | 844,167$ | ![]() | ||||||
Rasmus Kupari ![]() | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Reese Johnson ![]() | RW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Samuel Bitten ![]() | C | 25 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Samuel Honzek ![]() | LW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Scott Harrington ![]() | D | 32 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Strauss Mann ![]() | G | 26 | 775,000$ | 775,000$ | ![]() |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 25 | 4 | 11 | 10 | 0 | 57 | 13 | 14 | 23 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 16 | 10 | 30 | 8 | 12 | 5 | 25.0% | 4.0% | 91.2% | 95.2 | DULL | |
2 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 11 | 13 | -2 | 3 | 0.500 | 11 | 21 | 32 | 1 | 0 | 5 | 3 | 2 | 2 | 94 | 49 | 18 | 23 | 9 | 115 | 34 | 25 | 59 | 13 | 2 | 15.38% | 10 | 1 | 90.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 68 | 48 | 80 | 23 | 38 | 19 | 42.9% | 11.7% | 88.7% | 100.4 | FUN | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 58 | 27 | 17 | 14 | 0 | 63 | 23 | 24 | 51 | 7 | 1 | 14.29% | 12 | 5 | 58.33% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 42 | 28 | 52 | 14 | 24 | 11 | 80.0% | 8.6% | 90.5% | 99.1 | Unlucky | |
4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 9 | 5 | 4 | 0.667 | 14 | 28 | 42 | 0 | 0 | 5 | 2 | 7 | 0 | 109 | 34 | 38 | 37 | 0 | 90 | 26 | 26 | 62 | 16 | 2 | 12.50% | 13 | 4 | 69.23% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 85 | 62 | 58 | 20 | 36 | 19 | 70.6% | 12.8% | 90.0% | 102.8 | FUN | |
5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 10 | -3 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 5 | 1 | 1 | 0 | 97 | 35 | 35 | 27 | 3 | 104 | 38 | 28 | 60 | 11 | 1 | 9.09% | 12 | 2 | 83.33% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 74 | 51 | 71 | 22 | 38 | 18 | 42.9% | 7.2% | 90.4% | 97.6 | Unlucky | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 5 | 1 | 5 | 0 | 94 | 31 | 30 | 33 | 0 | 82 | 18 | 21 | 46 | 9 | 3 | 33.33% | 8 | 1 | 87.50% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 46 | 31 | 48 | 15 | 25 | 12 | 57.1% | 11.7% | 91.5% | 103.2 | LUCKY | |
7 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 4 | 3 | 4 | 0 | 114 | 34 | 36 | 44 | 0 | 95 | 18 | 39 | 78 | 15 | 3 | 20.00% | 17 | 4 | 76.47% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 75 | 51 | 66 | 21 | 38 | 19 | 61.5% | 9.6% | 90.5% | 100.2 | FUN | |
8 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 12 | 19 | 1 | 0 | 0 | 2 | 4 | 1 | 88 | 29 | 24 | 34 | 3 | 97 | 25 | 29 | 62 | 16 | 1 | 6.25% | 12 | 3 | 75.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 66 | 45 | 80 | 23 | 37 | 18 | 46.2% | 8.0% | 89.7% | 97.6 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 67 | 20 | 23 | 24 | 0 | 49 | 12 | 33 | 44 | 9 | 1 | 11.11% | 9 | 0 | 100.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 44 | 29 | 50 | 14 | 24 | 12 | 50.0% | 7.5% | 91.8% | 99.3 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 26 | 7 | 5 | 14 | 0 | 38 | 7 | 6 | 29 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 22 | 16 | 26 | 6 | 10 | 5 | 33.3% | 11.5% | 86.8% | 98.4 | FUN | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 30 | 13 | 8 | 9 | 0 | 36 | 5 | 8 | 29 | 5 | 1 | 20.00% | 3 | 2 | 33.33% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 21 | 14 | 27 | 7 | 11 | 5 | 40.0% | 10.0% | 86.1% | 96.1 | FUN | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 43 | 14 | 17 | 12 | 0 | 21 | 4 | 6 | 28 | 7 | 2 | 28.57% | 2 | 1 | 50.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 26 | 17 | 20 | 7 | 13 | 7 | 75.0% | 11.6% | 90.5% | 102.1 | FUN | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 34 | 9 | 12 | 13 | 0 | 64 | 22 | 18 | 36 | 8 | 1 | 12.50% | 8 | 5 | 37.50% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 40 | 26 | 53 | 15 | 25 | 11 | 14.3% | 5.9% | 82.8% | 88.7 | Unlucky | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 33 | 9 | 14 | 10 | 0 | 25 | 5 | 6 | 18 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 29 | 21 | 17 | 6 | 12 | 6 | 42.9% | 9.1% | 84.0% | 93.1 | FUN | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 34 | 12 | 8 | 14 | 0 | 27 | 10 | 11 | 20 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 23 | 15 | 23 | 7 | 13 | 5 | 20.0% | 5.9% | 81.5% | 87.4 | Unlucky | |
16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 42 | 25 | 8 | 9 | 0 | 77 | 34 | 26 | 49 | 7 | 1 | 14.29% | 11 | 2 | 81.82% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 38 | 24 | 56 | 15 | 25 | 11 | 28.6% | 7.1% | 90.9% | 98.1 | Unlucky | |
17 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 2 | 5 | 0 | 1 | 56 | 13 | 22 | 19 | 2 | 88 | 24 | 24 | 29 | 4 | 2 | 50.00% | 12 | 1 | 91.67% | 1 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 43 | 29 | 53 | 12 | 24 | 11 | 54.5% | 14.3% | 93.2% | 107.5 | LUCKY | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 61 | 29 | 18 | 14 | 0 | 87 | 18 | 31 | 53 | 5 | 1 | 20.00% | 12 | 2 | 83.33% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 42 | 27 | 51 | 15 | 26 | 12 | 50.0% | 8.2% | 93.1% | 101.3 | DULL | |
19 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 3 | 2 | 3 | 1 | 90 | 31 | 28 | 30 | 1 | 106 | 27 | 40 | 68 | 4 | 0 | 0.00% | 19 | 3 | 84.21% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 66 | 43 | 75 | 21 | 39 | 19 | 60.0% | 10.0% | 91.5% | 101.5 | LUCKY | |
20 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 5 | 13 | -8 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 3 | 1 | 85 | 23 | 29 | 30 | 3 | 120 | 43 | 25 | 69 | 15 | 1 | 6.67% | 10 | 1 | 90.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 69 | 45 | 74 | 23 | 39 | 18 | 25.0% | 5.9% | 89.2% | 95.0 | Unlucky | |
21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 73 | 30 | 26 | 17 | 0 | 76 | 30 | 22 | 34 | 6 | 1 | 16.67% | 11 | 4 | 63.64% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 43 | 28 | 50 | 14 | 26 | 13 | 50.0% | 6.8% | 89.5% | 96.3 | Unlucky | |
22 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 5 | 0.833 | 9 | 17 | 26 | 0 | 0 | 3 | 3 | 3 | 0 | 90 | 32 | 27 | 31 | 0 | 93 | 26 | 32 | 72 | 11 | 3 | 27.27% | 15 | 4 | 73.33% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 69 | 46 | 72 | 23 | 38 | 18 | 60.0% | 10.0% | 91.4% | 101.4 | LUCKY | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 71 | 26 | 19 | 26 | 0 | 70 | 17 | 14 | 36 | 9 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 47 | 33 | 47 | 15 | 24 | 11 | 23.1% | 4.2% | 85.7% | 89.9 | Unlucky | |
24 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 58 | 19 | 23 | 16 | 0 | 67 | 11 | 30 | 40 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 48 | 34 | 46 | 13 | 25 | 13 | 45.5% | 8.6% | 89.6% | 98.2 | Unlucky | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 4 | 0 | 0 | 49 | 14 | 24 | 11 | 0 | 65 | 12 | 24 | 41 | 9 | 1 | 11.11% | 11 | 1 | 90.91% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 43 | 29 | 51 | 15 | 24 | 12 | 33.3% | 8.2% | 89.2% | 97.4 | Unlucky | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 64 | 20 | 20 | 24 | 0 | 72 | 23 | 18 | 36 | 8 | 1 | 12.50% | 7 | 2 | 71.43% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 43 | 28 | 51 | 16 | 25 | 11 | 55.6% | 9.4% | 91.7% | 101.0 | LUCKY | |
27 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 13 | -5 | 1 | 0.167 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 3 | 0 | 76 | 20 | 23 | 30 | 3 | 114 | 18 | 25 | 59 | 12 | 2 | 16.67% | 10 | 2 | 80.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 61 | 40 | 86 | 22 | 36 | 16 | 35.3% | 10.5% | 88.6% | 99.1 | FUN | |
28 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 2 | 0.333 | 5 | 10 | 15 | 0 | 1 | 2 | 2 | 1 | 0 | 89 | 30 | 23 | 36 | 0 | 88 | 35 | 24 | 58 | 13 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 74 | 50 | 67 | 21 | 38 | 19 | 38.5% | 5.6% | 87.5% | 93.1 | Unlucky | |
29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 62 | 19 | 16 | 27 | 0 | 65 | 13 | 20 | 47 | 4 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 46 | 32 | 49 | 13 | 23 | 12 | 50.0% | 6.5% | 90.8% | 97.2 | Unlucky | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 49 | 20 | 10 | 19 | 0 | 64 | 22 | 16 | 51 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 45 | 31 | 50 | 14 | 24 | 11 | 57.1% | 8.2% | 93.8% | 101.9 | DULL | |
31 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 9 | 15 | 1 | 0 | 2 | 2 | 2 | 0 | 52 | 15 | 14 | 23 | 0 | 56 | 18 | 26 | 39 | 3 | 1 | 33.33% | 11 | 1 | 90.91% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 44 | 29 | 49 | 13 | 26 | 12 | 38.5% | 11.5% | 83.9% | 95.5 | FUN | |
_Vs Division | 17 | 5 | 9 | 0 | 1 | 0 | 0 | 2 | 45 | 64 | -19 | 14 | 0.412 | 45 | 82 | 127 | 2 | 1 | 20 | 12 | 12 | 2 | 549 | 208 | 153 | 184 | 12 | 573 | 172 | 160 | 371 | 70 | 8 | 11.43% | 68 | 16 | 76.47% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 406 | 280 | 412 | 126 | 214 | 105 | 43.5% | 8.2% | 88.8% | 97.0 | Unlucky | |
_Vs Conference | 38 | 11 | 19 | 0 | 3 | 2 | 1 | 2 | 104 | 135 | -31 | 34 | 0.447 | 104 | 192 | 296 | 3 | 1 | 35 | 28 | 37 | 5 | 1188 | 409 | 353 | 414 | 22 | 1269 | 359 | 381 | 827 | 158 | 19 | 12.03% | 160 | 34 | 78.75% | 0 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 892 | 610 | 935 | 282 | 479 | 235 | 45.7% | 8.8% | 89.4% | 98.1 | Unlucky | |
_Since Last GM Reset | 66 | 19 | 37 | 0 | 4 | 3 | 1 | 2 | 179 | 235 | -56 | 53 | 0.402 | 179 | 330 | 509 | 4 | 1 | 61 | 53 | 60 | 6 | 2013 | 693 | 626 | 680 | 24 | 2271 | 631 | 691 | 1426 | 249 | 34 | 13.65% | 285 | 62 | 78.25% | 1 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 1510 | 1027 | 1644 | 488 | 834 | 408 | 45.6% | 8.9% | 89.7% | 98.5 | Unlucky | |
Total | 66 | 19 | 37 | 0 | 4 | 3 | 1 | 2 | 179 | 235 | -56 | 53 | 0.402 | 179 | 330 | 509 | 4 | 1 | 61 | 53 | 60 | 6 | 2013 | 693 | 626 | 680 | 24 | 2271 | 631 | 691 | 1426 | 249 | 34 | 13.65% | 285 | 62 | 78.25% | 1 | 1117 | 2265 | 49.32% | 1171 | 2418 | 48.43% | 518 | 1065 | 48.64% | 1510 | 1027 | 1644 | 488 | 834 | 408 | 45.6% | 8.9% | 89.7% | 98.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2265 |
Neutral Zone Start | 1065 |
Defensive Zone Start | 2418 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2806 |
Faceoffs Lost | 2942 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 30.3 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 140 |
---|---|
PP Goal | 34 |
PK Goal | 1 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 12 | 12 |
Lost | 16 | 21 |
Overtime Lost | 4 | 1 |
PP Attempt | 249 |
---|---|
PP Goal | 34 |
PK Attempt | 285 |
PK Goal Against | 62 |
Home | |
---|---|
Shots For | 30.5 |
Shots Against | 34.4 |
Goals For | 2.7 |
Goals Against | 3.6 |
Hits | 21.6 |
Shots Blocked | 9.6 |
Pim | 10.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-12 | @ | Hockey Club4,Islanders2 | RECAP | |||||||||||
2024-10-14 | @ | Islanders4,Stars2 | RECAP | |||||||||||
2024-10-16 | @ | Islanders6,Avalanche3 | RECAP | |||||||||||
2024-10-19 | @ | Islanders5,Blues4 (OT) | RECAP | |||||||||||
2024-10-21 | @ | Canadiens1,Islanders3 | RECAP | |||||||||||
2024-10-24 | @ | Red Wings4,Islanders2 | RECAP | |||||||||||
2024-10-27 | @ | Islanders1,Devils3 | RECAP | |||||||||||
2024-10-28 | @ | Panthers3,Islanders2 (OT) | RECAP | |||||||||||
2024-10-31 | @ | Ducks3,Islanders2 | RECAP | |||||||||||
2024-11-01 | @ | Islanders3,Blue Jackets6 | RECAP | |||||||||||
2024-11-03 | @ | Islanders0,Sabres5 | RECAP | |||||||||||
2024-11-05 | @ | Islanders4,Rangers6 | RECAP | |||||||||||
2024-11-07 | @ | Penguins5,Islanders2 | RECAP | |||||||||||
2024-11-09 | @ | Islanders6,Senators1 | RECAP | |||||||||||
2024-11-11 | @ | Devils3,Islanders4 | RECAP | |||||||||||
2024-11-14 | @ | Islanders0,Oilers2 | RECAP | |||||||||||
2024-11-16 | @ | Islanders5,Canucks2 | RECAP | |||||||||||
2024-11-18 | @ | Islanders4,Kraken5 | RECAP | |||||||||||
2024-11-21 | @ | Islanders1,Flames5 | RECAP | |||||||||||
2024-11-23 | @ | Islanders1,Red Wings3 | RECAP | |||||||||||
2024-11-25 | @ | Blues2,Islanders3 | RECAP | |||||||||||
2024-11-27 | @ | Red Wings3,Islanders4 (SO) | RECAP | |||||||||||
2024-11-29 | @ | Bruins4,Islanders5 (OT) | RECAP | |||||||||||
2024-12-01 | @ | Islanders3,Capitals5 | RECAP | |||||||||||
2024-12-02 | @ | Sabres6,Islanders2 | RECAP | |||||||||||
2024-12-05 | @ | Islanders2,Canadiens3 | RECAP | |||||||||||
2024-12-07 | @ | Kraken4,Islanders2 | RECAP | |||||||||||
2024-12-09 | @ | Hurricanes5,Islanders1 | RECAP | |||||||||||
2024-12-10 | @ | Islanders3,Senators5 | RECAP | |||||||||||
2024-12-12 | @ | Kings5,Islanders1 | RECAP | |||||||||||
2024-12-14 | @ | Blackhawks4,Islanders2 | RECAP | |||||||||||
2024-12-17 | @ | Islanders3,Blackhawks4 | RECAP | |||||||||||
2024-12-19 | @ | Islanders3,Hurricanes1 | RECAP | |||||||||||
2024-12-23 | @ | Islanders1,Maple Leafs4 | RECAP | |||||||||||
2024-12-25 | @ | Sabres2,Islanders3 (OT) | RECAP | |||||||||||
2024-12-30 | @ | Penguins0,Islanders2 | RECAP | |||||||||||
2024-12-31 | @ | Islanders1,Penguins6 | RECAP | |||||||||||
2025-01-02 | @ | Islanders3,Maple Leafs4 (OT) | RECAP | |||||||||||
2025-01-04 | @ | Maple Leafs5,Islanders4 | RECAP | |||||||||||
2025-01-07 | @ | Islanders1,Bruins3 | RECAP | |||||||||||
2025-01-11 | @ | Islanders0,Golden Knights3 | RECAP | |||||||||||
2025-01-13 | @ | Islanders3,Hockey Club2 | RECAP | |||||||||||
2025-01-16 | @ | Senators3,Islanders5 | RECAP | |||||||||||
2025-01-18 | @ | Flyers3,Islanders2 (SO) | RECAP | |||||||||||
2025-01-20 | @ | Sharks5,Islanders2 | RECAP | |||||||||||
2025-01-22 | @ | Blue Jackets4,Islanders0 | RECAP | |||||||||||
2025-01-26 | @ | Flyers6,Islanders4 | RECAP | |||||||||||
2025-01-27 | @ | Hurricanes4,Islanders3 (SO) | RECAP | |||||||||||
2025-01-30 | @ | Avalanche4,Islanders5 | RECAP | |||||||||||
2025-02-01 | @ | Islanders5,Flyers4 (OT) | RECAP | |||||||||||
2025-02-03 | @ | Islanders2,Lightning5 | RECAP | |||||||||||
2025-02-04 | @ | Islanders3,Panthers2 | RECAP | |||||||||||
2025-02-06 | @ | Golden Knights1,Islanders4 | RECAP | |||||||||||
2025-02-09 | @ | Islanders3,Jets4 | RECAP | |||||||||||
2025-02-10 | @ | Islanders3,Wild5 | RECAP | |||||||||||
2025-02-25 | @ | Stars4,Islanders2 | RECAP | |||||||||||
2025-02-27 | @ | Rangers2,Islanders4 | RECAP | |||||||||||
2025-03-01 | @ | Islanders3,Bruins2 | RECAP | |||||||||||
2025-03-03 | @ | Predators4,Islanders3 | RECAP | |||||||||||
2025-03-05 | @ | Islanders3,Rangers1 | RECAP | |||||||||||
2025-03-06 | @ | Jets3,Islanders2 (OT) | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Islanders2,Sharks1 | RECAP | |||||||||||
2025-03-11 | @ | Islanders2,Ducks4 | RECAP | |||||||||||
2025-03-13 | @ | Islanders1,Kings6 | RECAP | |||||||||||
2025-03-16 | @ | Oilers5,Islanders3 | RECAP | |||||||||||
2025-03-18 | @ | Panthers3,Islanders4 | RECAP | |||||||||||
2025-03-20 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
61,482,167$ | 0$ | 66,464,260$ | 26,517,833$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 177565 | 147778 | 59990 | 119508 | 28998 |
Attendance PCT | 92.48% | 92.36% | 93.73% | 93.37% | 90.62% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
9 | 16682 - 92.68% | 1,523,849$ | 48,763,166$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
61,482,167$ | 61,482,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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57,263,080$ | 313,685$ | 56,426,340$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
13,714,640$ | 32 | 318,787$ | 10,201,184$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
10,543,094$ | 61,482,167$ | 85,862,108$ | 89,033,654$ |
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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2025 | ||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Adam Gajan | 2023 | 67 | |||
Adam Kleber | 2024 | 68 | |||
Albin Sundsvik | |||||
Aron Kiviharju | 2024 | 35 | |||
Benjamin Baumgartner | |||||
Berkly Catton | 2024 | 6 | |||
Connor Kelley | 2021 | 221 | |||
Emil Hemming | 2024 | 28 | |||
Jack Peart | 2021 | 45 | |||
Jesse Nurmi | 2023 | 114 | |||
Leo Sahlin Wallenius | 2024 | 47 | |||
Mathis Rousseau | 2023 | 213 | |||
Mikhail Yegorov | 2024 | 77 | |||
Oliver Suni | 2020 | 103 | |||
Vojtech Hradec | 2024 | 186 | |||
Will McIsaac | 2024 | 159 |
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