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Full Scoreboard »» |
Brooklyn Islanders 14-7-0, 28pts · 2nd in Conference Est |
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 | 69 | 44 | 91 | 82 | 83 | 81 | 79 | 89 | 41 | 85 | 92 | 76 | 59 | 68 | 72 | 85 | 50 | 0 | 26 | 4,750,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 41 | 91 | 75 | 64 | 74 | 88 | 76 | 37 | 77 | 81 | 64 | 25 | 47 | 47 | 77 | 50 | 0 | 20 | 925,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 59 | 40 | 92 | 93 | 63 | 81 | 93 | 86 | 44 | 82 | 80 | 60 | 72 | 89 | 89 | 78 | 50 | 0 | 33 | 10,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 90 | 57 | 86 | 83 | 83 | 77 | 88 | 75 | 40 | 72 | 82 | 81 | 25 | 69 | 69 | 81 | 50 | 0 | 25 | 4,300,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 73 | 44 | 88 | 75 | 80 | 63 | 72 | 60 | 83 | 60 | 66 | 82 | 25 | 64 | 64 | 69 | 50 | 0 | 28 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 63 | 41 | 90 | 67 | 61 | 72 | 84 | 76 | 25 | 86 | 70 | 69 | 25 | 55 | 55 | 73 | 50 | 0 | 21 | 853,333$/2yrs | |||
![]() | 0 | C/LW | 99.00 | 73 | 43 | 93 | 90 | 67 | 85 | 97 | 96 | 80 | 92 | 92 | 80 | 66 | 66 | 66 | 89 | 50 | 0 | 23 | 7,350,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 41 | 89 | 88 | 61 | 85 | 91 | 95 | 38 | 85 | 79 | 63 | 82 | 76 | 80 | 80 | 50 | 0 | 35 | 6,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 77 | 44 | 80 | 85 | 70 | 76 | 94 | 81 | 84 | 79 | 80 | 62 | 45 | 78 | 81 | 78 | 50 | 0 | 31 | 7,000,000$/7yrs | |||
![]() | 0 | LW/RW | 100.00 | 97 | 70 | 77 | 75 | 80 | 61 | 97 | 58 | 32 | 60 | 68 | 79 | 25 | 70 | 72 | 71 | 50 | 0 | 30 | 1,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 75 | 53 | 66 | 79 | 71 | 72 | 98 | 74 | 44 | 76 | 79 | 61 | 75 | 62 | 63 | 75 | 50 | 0 | 27 | 950,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 42 | 88 | 83 | 66 | 68 | 99 | 67 | 45 | 72 | 62 | 82 | 75 | 71 | 73 | 71 | 50 | 0 | 28 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 88 | 46 | 90 | 79 | 73 | 83 | 98 | 60 | 25 | 48 | 49 | 96 | 25 | 62 | 62 | 67 | 50 | 0 | 24 | 787,500$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 54 | 87 | 70 | 73 | 66 | 72 | 62 | 25 | 49 | 48 | 84 | 25 | 51 | 51 | 63 | 50 | 0 | 23 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 44 | 92 | 85 | 79 | 90 | 94 | 79 | 25 | 75 | 58 | 89 | 25 | 84 | 89 | 74 | 50 | 0 | 32 | 8,800,000$/5yrs | |||
![]() | 0 | D | 100.00 | 80 | 44 | 91 | 80 | 74 | 77 | 92 | 61 | 25 | 55 | 51 | 84 | 75 | 65 | 66 | 66 | 50 | 0 | 27 | 3,150,000$/2yrs | |||
![]() | 0 | D | 100.00 | 90 | 60 | 85 | 76 | 80 | 80 | 93 | 63 | 25 | 54 | 47 | 90 | 25 | 76 | 80 | 66 | 50 | 0 | 31 | 2,850,000$/3yrs | |||
![]() | 0 | D | 100.00 | 78 | 44 | 77 | 91 | 74 | 86 | 90 | 82 | 25 | 77 | 50 | 84 | 41 | 70 | 74 | 71 | 50 | 0 | 24 | 9,500,000$/8yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 77 | 57 | 91 | 80 | 76 | 66 | 92 | 61 | 31 | 63 | 66 | 79 | 63 | 70 | 70 | 71 | 50 | 0 | 29 | 750,000$/1yrs | |||
TEAM AVERAGE | 99.95 | 76 | 48 | 87 | 81 | 73 | 76 | 90 | 74 | 41 | 71 | 68 | 77 | 46 | 68 | 70 | 74 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 67 | 91 | 88 | 87 | 65 | 68 | 83 | 69 | 65 | 67 | 87 | 70 | 72 | 72 | 50 | 0 | 32 | 6,000,000$/4yrs |
![]() | 0 | 100.00 | 80 | 71 | 68 | 80 | 83 | 76 | 86 | 81 | 85 | 80 | 95 | 50 | 50 | 80 | 50 | 0 | 25 | 766,667$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 81 | 78 | 84 | 74 | 72 | 85 | 75 | 75 | 74 | 91 | 60 | 61 | 76 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 71 | 43 | 92 | 77 | 70 | 65 | 87 | 67 | 36 | 70 | 59 | 63 | 25 | 55 | 55 | 66 | 57 | 0 | 23 | 809,167$/1yrs | |||
![]() | 0 | C | 100.00 | 81 | 44 | 92 | 72 | 66 | 53 | 81 | 51 | 76 | 50 | 55 | 63 | 25 | 54 | 54 | 60 | 57 | 0 | 23 | 778,333$/1yrs | |||
![]() | 0 | C | 100.00 | 75 | 43 | 85 | 65 | 68 | 61 | 49 | 76 | 80 | 63 | 55 | 64 | 25 | 45 | 45 | 62 | 57 | 0 | 20 | 1,366,667$/3yrs | |||
![]() | 0 | LW | 100.00 | 78 | 79 | 77 | 64 | 79 | 78 | 82 | 62 | 50 | 55 | 65 | 66 | 62 | 44 | 44 | 66 | 57 | 0 | 20 | 828,333$/3yrs | |||
![]() | 0 | D | 100.00 | 76 | 73 | 84 | 68 | 73 | 68 | 73 | 52 | 25 | 49 | 41 | 62 | 39 | 44 | 44 | 56 | 57 | 0 | 24 | 705,556$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 86 | 99 | 40 | 68 | 92 | 51 | 49 | 56 | 25 | 61 | 55 | 64 | 25 | 57 | 57 | 60 | 22 | 0 | 28 | 1,100,000$/4yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 67 | 61 | 59 | 75 | 78 | 56 | 77 | 67 | 67 | 66 | 75 | 46 | 46 | 67 | 57 | 0 | 22 | 822,500$/2yrs | ||||||
![]() | 0 | 100.00 | 55 | 43 | 54 | 73 | 60 | 56 | 54 | 60 | 58 | 57 | 30 | 44 | 44 | 55 | 57 | 0 | 24 | 750,000$/1yrs | ||||||
![]() | 0 | 100.00 | 60 | 54 | 68 | 66 | 64 | 66 | 56 | 64 | 65 | 63 | 30 | 44 | 44 | 61 | 57 | 0 | 22 | 795,000$/2yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Marco Bourque |
---|
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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Elias Pettersson | 0 | C/LW | 21 | 13 | 16 | 29 | 6 | 4 | 0 | 35 | 92 | 26 | 47 | 14.13% | 13 | 20.73 | 2 | 4 | 6 | 46 | 1 | 1 | 2 | 58 | 1 | 1 | 52.72% | 404 | 17 | 5 | 0 | 1 | 1.33 | 0 | 1 | ||
2 | Mats Zuccarello | 0 | LW/RW | 21 | 10 | 13 | 23 | 5 | 6 | 0 | 39 | 72 | 24 | 44 | 13.89% | 6 | 16.79 | 4 | 5 | 9 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 31.82% | 22 | 26 | 12 | 0 | 0 | 1.30 | 0 | 1 | ||
3 | Alex Tuch | 0 | LW/RW | 21 | 9 | 10 | 19 | 9 | 4 | 0 | 18 | 67 | 24 | 32 | 13.43% | 3 | 16.48 | 2 | 2 | 4 | 37 | 0 | 0 | 0 | 7 | 1 | 0 | 26.67% | 15 | 13 | 5 | 0 | 0 | 1.10 | 1 | 1 | ||
4 | Nazem Kadri | 0 | C | 21 | 10 | 8 | 18 | 8 | 8 | 0 | 40 | 47 | 18 | 31 | 21.28% | 7 | 15.38 | 3 | 1 | 4 | 36 | 0 | 0 | 0 | 0 | 3 | 1 | 48.68% | 265 | 18 | 11 | 0 | 0 | 1.11 | 0 | 0 | ||
5 | Patrick Kane | 0 | RW | 21 | 8 | 9 | 17 | 3 | 0 | 0 | 21 | 60 | 13 | 24 | 13.33% | 2 | 16.76 | 3 | 4 | 7 | 42 | 0 | 0 | 0 | 0 | 2 | 1 | 41.18% | 17 | 13 | 6 | 0 | 0 | 0.97 | 1 | 1 | ||
6 | Alex Pietrangelo | 0 | D | 21 | 3 | 12 | 15 | 3 | 2 | 0 | 19 | 25 | 15 | 8 | 12.00% | 31 | 21.55 | 2 | 4 | 6 | 45 | 0 | 0 | 0 | 58 | 0 | 0 | 0.00% | 0 | 6 | 14 | 0 | 0 | 0.66 | 0 | 0 | ||
7 | Michael Bunting | 0 | LW | 21 | 5 | 10 | 15 | 14 | 36 | 0 | 33 | 31 | 12 | 24 | 16.13% | 6 | 13.88 | 0 | 4 | 4 | 26 | 0 | 0 | 0 | 0 | 3 | 0 | 26.67% | 15 | 3 | 6 | 0 | 0 | 1.03 | 1 | 1 | ||
8 | Lukas Reichel | 0 | C/LW | 21 | 2 | 10 | 12 | -4 | 6 | 0 | 18 | 53 | 12 | 33 | 3.77% | 6 | 14.87 | 0 | 4 | 4 | 41 | 0 | 0 | 0 | 2 | 0 | 0 | 32.49% | 277 | 10 | 6 | 0 | 0 | 0.77 | 0 | 0 | ||
9 | Charlie McAvoy | 0 | D | 21 | 2 | 9 | 11 | 12 | 28 | 0 | 36 | 27 | 16 | 13 | 7.41% | 27 | 20.62 | 1 | 0 | 1 | 32 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 0 | 4 | 12 | 0 | 0 | 0.51 | 0 | 0 | ||
10 | Lawson Crouse | 0 | LW/RW | 21 | 4 | 5 | 9 | 0 | 8 | 0 | 35 | 56 | 16 | 28 | 7.14% | 7 | 15.49 | 1 | 2 | 3 | 33 | 0 | 0 | 0 | 13 | 2 | 0 | 46.67% | 15 | 21 | 8 | 1 | 0 | 0.55 | 0 | 0 | ||
11 | Alexander Kerfoot | 0 | LW/RW | 21 | 4 | 4 | 8 | 1 | 4 | 0 | 19 | 23 | 5 | 18 | 17.39% | 8 | 14.57 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 58 | 1 | 0 | 46.15% | 13 | 2 | 6 | 0 | 0 | 0.52 | 0 | 0 | ||
12 | Andrew Peeke | 0 | D | 21 | 0 | 7 | 7 | 14 | 6 | 0 | 26 | 16 | 9 | 9 | 0.00% | 27 | 19.59 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 66 | 0 | 0 | 0.00% | 0 | 2 | 16 | 0 | 0 | 0.34 | 0 | 0 | ||
13 | Mark Jankowski | 0 | C/LW | 21 | 4 | 1 | 5 | 2 | 2 | 0 | 12 | 15 | 1 | 8 | 26.67% | 3 | 11.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0 | 0 | 56.77% | 155 | 6 | 5 | 0 | 0 | 0.41 | 0 | 0 | ||
14 | Matias Maccelli | 0 | LW | 21 | 0 | 3 | 3 | -5 | 0 | 0 | 13 | 23 | 11 | 21 | 0.00% | 5 | 10.74 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 12 | 6 | 3 | 0 | 0 | 0.27 | 0 | 0 | ||
15 | Matt Roy | 0 | D | 21 | 1 | 2 | 3 | 1 | 4 | 0 | 17 | 15 | 6 | 5 | 6.67% | 25 | 18.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 2 | 14 | 0 | 0 | 0.16 | 0 | 0 | ||
16 | Garnet Hathaway | 0 | LW/RW | 21 | 2 | 1 | 3 | 5 | 14 | 0 | 22 | 20 | 4 | 7 | 10.00% | 8 | 10.96 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 54 | 0 | 0 | 40.00% | 5 | 5 | 5 | 0 | 0 | 0.26 | 0 | 0 | ||
17 | Dylan Samberg | 0 | D | 21 | 0 | 2 | 2 | 5 | 24 | 10 | 17 | 16 | 8 | 8 | 0.00% | 21 | 17.32 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 12 | 0 | 0 | 0.11 | 0 | 0 | ||
18 | Brayden McNabb | 0 | D | 21 | 1 | 1 | 2 | -1 | 11 | 5 | 23 | 13 | 10 | 4 | 7.69% | 27 | 19.18 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 3 | 9 | 0 | 0 | 0.10 | 0 | 0 | ||
Team Total or Average | 378 | 78 | 123 | 201 | 78 | 167 | 15 | 443 | 671 | 230 | 364 | 11.62% | 232 | 16.36 | 18 | 30 | 48 | 400 | 2 | 2 | 4 | 514 | 13 | 3 | 46.17% | 1215 | 157 | 155 | 1 | 1 | 0.65 | 3 | 5 |
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 | Logan Thompson | 18 | 10 | 5 | 0 | 0.904 | 2.91 | 886 | 6 | 0 | 43 | 449 | 233 | 0 | 1 | 0.000 | 0 | 15 | 6 | 3 | 0 | 0 | |
2 | Jacob Markstrom | 9 | 4 | 2 | 0 | 0.904 | 3.04 | 375 | 0 | 0 | 19 | 197 | 109 | 1 | 0 | 0.600 | 5 | 6 | 15 | 1 | 0 | 0 | |
Team Total or Average | 27 | 14 | 7 | 0 | 0.904 | 2.95 | 1261 | 6 | 0 | 62 | 646 | 342 | 1 | 1 | 0.600 | 5 | 21 | 21 | 4 | 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 |
# | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 28 | 7 | 10 | 11 | 0 | 29 | 8 | 4 | 17 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 19 | 11 | 21 | 9 | 18 | 9 | 66.7% | 7.1% | 96.6% | 103.7 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 32 | 13 | 9 | 10 | 0 | 30 | 11 | 10 | 21 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 19 | 10 | 22 | 9 | 18 | 9 | 57.1% | 12.5% | 83.3% | 95.8 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 3 | 0 | 0 | 34 | 5 | 16 | 13 | 0 | 32 | 13 | 10 | 27 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 1 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 20 | 11 | 22 | 8 | 16 | 8 | 50.0% | 8.8% | 87.5% | 96.3 | Unlucky | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 65 | 15 | 29 | 21 | 0 | 71 | 28 | 14 | 36 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 41 | 23 | 45 | 17 | 32 | 15 | 41.7% | 9.2% | 90.1% | 99.4 | FUN | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 26 | 4 | 9 | 13 | 0 | 33 | 6 | 10 | 17 | 1 | 1 | 100.00% | 5 | 2 | 60.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 19 | 10 | 22 | 9 | 18 | 8 | 50.0% | 7.7% | 90.9% | 98.6 | Unlucky | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.500 | 9 | 13 | 22 | 1 | 0 | 3 | 1 | 5 | 0 | 63 | 24 | 12 | 27 | 0 | 65 | 17 | 18 | 42 | 4 | 3 | 75.00% | 9 | 3 | 66.67% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 43 | 26 | 42 | 18 | 34 | 15 | 46.2% | 14.3% | 84.6% | 98.9 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 32 | 17 | 9 | 6 | 0 | 24 | 7 | 2 | 21 | 6 | 3 | 50.00% | 1 | 0 | 100.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 21 | 13 | 20 | 9 | 18 | 9 | 40.0% | 15.6% | 87.5% | 103.1 | FUN | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 18 | 7 | 11 | 0 | 26 | 11 | 6 | 19 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 25 | 16 | 18 | 8 | 16 | 7 | 0.0% | 2.8% | 88.5% | 91.2 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 1 | 0 | 67 | 24 | 14 | 29 | 0 | 69 | 29 | 25 | 40 | 2 | 0 | 0.00% | 10 | 2 | 80.00% | 1 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 45 | 27 | 41 | 16 | 33 | 16 | 55.6% | 7.5% | 91.3% | 98.8 | DULL | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 5 | 1 | 0 | 36 | 7 | 15 | 14 | 0 | 26 | 11 | 6 | 19 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 20 | 11 | 21 | 9 | 17 | 8 | 75.0% | 19.4% | 92.3% | 111.8 | LUCKY | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 31 | 8 | 8 | 15 | 0 | 24 | 9 | 12 | 28 | 2 | 1 | 50.00% | 6 | 2 | 66.67% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 21 | 13 | 20 | 9 | 18 | 8 | 100.0% | 12.9% | 91.7% | 104.6 | LUCKY | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 5 | 7 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 4 | 6 | 2 | 0 | 54 | 23 | 17 | 14 | 0 | 43 | 18 | 27 | 46 | 5 | 2 | 40.00% | 11 | 1 | 90.91% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 37 | 20 | 43 | 20 | 38 | 16 | 71.4% | 22.2% | 88.4% | 110.6 | FUN | |
13 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 9 | 17 | 0 | 0 | 2 | 1 | 4 | 3 | 71 | 26 | 19 | 26 | 5 | 71 | 26 | 8 | 42 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 49 | 29 | 39 | 17 | 35 | 19 | 58.3% | 11.3% | 91.5% | 102.8 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 23 | 14 | 8 | 1 | 0 | 29 | 7 | 4 | 20 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 20 | 11 | 21 | 9 | 17 | 9 | 50.0% | 8.7% | 96.6% | 105.2 | DULL | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 2 | 1 | 0 | 0 | 31 | 18 | 10 | 3 | 0 | 39 | 11 | 6 | 28 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 22 | 13 | 20 | 8 | 17 | 8 | 66.7% | 9.7% | 94.9% | 104.5 | LUCKY | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 7 | 13 | 0 | 0 | 2 | 2 | 2 | 0 | 42 | 13 | 9 | 20 | 0 | 36 | 20 | 11 | 20 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 22 | 13 | 21 | 8 | 16 | 9 | 83.3% | 14.3% | 91.7% | 106.0 | LUCKY | |
_Vs Division | 8 | 5 | 2 | 0 | 0 | 0 | 1 | 0 | 32 | 26 | 6 | 12 | 0.750 | 32 | 49 | 81 | 1 | 0 | 9 | 9 | 13 | 3 | 258 | 86 | 83 | 89 | 5 | 262 | 89 | 50 | 159 | 25 | 7 | 28.00% | 25 | 4 | 84.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 175 | 103 | 170 | 73 | 138 | 68 | 53.2% | 12.4% | 90.1% | 102.5 | FUN | |
_Vs Conference | 14 | 9 | 4 | 0 | 0 | 0 | 1 | 0 | 54 | 42 | 12 | 20 | 0.714 | 54 | 86 | 140 | 1 | 0 | 16 | 20 | 17 | 3 | 441 | 145 | 140 | 156 | 5 | 435 | 157 | 116 | 289 | 36 | 10 | 27.78% | 53 | 9 | 83.02% | 2 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 298 | 173 | 300 | 128 | 245 | 118 | 57.1% | 12.2% | 90.3% | 102.6 | FUN | |
_Since Last GM Reset | 21 | 13 | 7 | 0 | 0 | 0 | 1 | 0 | 79 | 63 | 16 | 28 | 0.667 | 79 | 123 | 202 | 1 | 0 | 26 | 26 | 26 | 3 | 671 | 236 | 201 | 234 | 5 | 647 | 232 | 173 | 443 | 56 | 18 | 32.14% | 79 | 19 | 75.95% | 2 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 450 | 264 | 445 | 191 | 369 | 178 | 58.1% | 11.8% | 90.3% | 102.0 | FUN | |
Total | 21 | 13 | 7 | 0 | 0 | 0 | 1 | 0 | 79 | 63 | 16 | 28 | 0.667 | 79 | 123 | 202 | 1 | 0 | 26 | 26 | 26 | 3 | 671 | 236 | 201 | 234 | 5 | 647 | 232 | 173 | 443 | 56 | 18 | 32.14% | 79 | 19 | 75.95% | 2 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 450 | 264 | 445 | 191 | 369 | 178 | 58.1% | 11.8% | 90.3% | 102.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 425 |
Neutral Zone Start | 326 |
Defensive Zone Start | 461 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 561 |
Faceoffs Lost | 651 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.2 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 32.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.7 | 2.67 |
Overtime | 3.9 | 2.83 |
Even Strenght Goal | 58 |
---|---|
PP Goal | 18 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 6 | 8 |
Lost | 5 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 56 |
---|---|
PP Goal | 18 |
PK Attempt | 79 |
PK Goal Against | 19 |
Home | |
---|---|
Shots For | 32.0 |
Shots Against | 30.8 |
Goals For | 3.8 |
Goals Against | 3.0 |
Hits | 21.1 |
Shots Blocked | 11.0 |
Pim | 8.2 |
Projected Total Cap Hit | 81,907,500$ |
Projected Cap Space | 592,500$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 21,330,100$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Islanders Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Pietrangelo ![]() | D | 32 | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | |||
Alex Tuch ![]() | LW/RW | 26 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | ||||
Alexander Kerfoot ![]() | LW/RW | 28 | 3,500,000$ | 3,500,000$ | |||||||
Andrew Peeke ![]() | D | 24 | 787,500$ | 787,500$ | |||||||
Brayden McNabb ![]() | D | 31 | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | |||||
Charlie McAvoy ![]() | D | 24 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ |
Dylan Samberg ![]() | D | 23 | 925,000$ | 925,000$ | 925,000$ | ||||||
Elias Pettersson ![]() | C/LW | 23 | 7,350,000$ | 7,350,000$ | 7,350,000$ | ||||||
Garnet Hathaway ![]() | LW/RW | 30 | 1,500,000$ | 1,500,000$ | |||||||
Jacob Markstrom ![]() | G | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||
Jimmy Vesey ![]() | LW/RW | 29 | 750,000$ | 750,000$ | |||||||
Lawson Crouse ![]() | LW/RW | 25 | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | |||
Logan Thompson ![]() | G | 25 | 766,667$ | 766,667$ | 766,667$ | 766,667$ | |||||
Lukas Reichel ![]() | C/LW | 20 | 925,000$ | 925,000$ | 925,000$ | ||||||
Mark Jankowski ![]() | C/LW | 28 | 750,000$ | 750,000$ | |||||||
Matias Maccelli ![]() | LW | 21 | 853,333$ | 853,333$ | 853,333$ | ||||||
Mats Zuccarello ![]() | LW/RW | 35 | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||||
Matt Roy ![]() | D | 27 | 3,150,000$ | 3,150,000$ | 3,150,000$ | ||||||
Michael Bunting ![]() | LW | 27 | 950,000$ | 950,000$ | |||||||
Nazem Kadri ![]() | C | 31 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |
Patrick Kane ![]() | RW | 33 | 10,500,000$ | 10,500,000$ |
Forward Lines | |||||||
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 28 | 7 | 10 | 11 | 0 | 29 | 8 | 4 | 17 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 19 | 11 | 21 | 9 | 18 | 9 | 66.7% | 7.1% | 96.6% | 103.7 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 32 | 13 | 9 | 10 | 0 | 30 | 11 | 10 | 21 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 19 | 10 | 22 | 9 | 18 | 9 | 57.1% | 12.5% | 83.3% | 95.8 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 3 | 0 | 0 | 34 | 5 | 16 | 13 | 0 | 32 | 13 | 10 | 27 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 1 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 20 | 11 | 22 | 8 | 16 | 8 | 50.0% | 8.8% | 87.5% | 96.3 | Unlucky | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 65 | 15 | 29 | 21 | 0 | 71 | 28 | 14 | 36 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 41 | 23 | 45 | 17 | 32 | 15 | 41.7% | 9.2% | 90.1% | 99.4 | FUN | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 26 | 4 | 9 | 13 | 0 | 33 | 6 | 10 | 17 | 1 | 1 | 100.00% | 5 | 2 | 60.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 19 | 10 | 22 | 9 | 18 | 8 | 50.0% | 7.7% | 90.9% | 98.6 | Unlucky | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.500 | 9 | 13 | 22 | 1 | 0 | 3 | 1 | 5 | 0 | 63 | 24 | 12 | 27 | 0 | 65 | 17 | 18 | 42 | 4 | 3 | 75.00% | 9 | 3 | 66.67% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 43 | 26 | 42 | 18 | 34 | 15 | 46.2% | 14.3% | 84.6% | 98.9 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 32 | 17 | 9 | 6 | 0 | 24 | 7 | 2 | 21 | 6 | 3 | 50.00% | 1 | 0 | 100.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 21 | 13 | 20 | 9 | 18 | 9 | 40.0% | 15.6% | 87.5% | 103.1 | FUN | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 18 | 7 | 11 | 0 | 26 | 11 | 6 | 19 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 25 | 16 | 18 | 8 | 16 | 7 | 0.0% | 2.8% | 88.5% | 91.2 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 1 | 0 | 67 | 24 | 14 | 29 | 0 | 69 | 29 | 25 | 40 | 2 | 0 | 0.00% | 10 | 2 | 80.00% | 1 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 45 | 27 | 41 | 16 | 33 | 16 | 55.6% | 7.5% | 91.3% | 98.8 | DULL | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 5 | 1 | 0 | 36 | 7 | 15 | 14 | 0 | 26 | 11 | 6 | 19 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 20 | 11 | 21 | 9 | 17 | 8 | 75.0% | 19.4% | 92.3% | 111.8 | LUCKY | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 31 | 8 | 8 | 15 | 0 | 24 | 9 | 12 | 28 | 2 | 1 | 50.00% | 6 | 2 | 66.67% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 21 | 13 | 20 | 9 | 18 | 8 | 100.0% | 12.9% | 91.7% | 104.6 | LUCKY | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 5 | 7 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 4 | 6 | 2 | 0 | 54 | 23 | 17 | 14 | 0 | 43 | 18 | 27 | 46 | 5 | 2 | 40.00% | 11 | 1 | 90.91% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 37 | 20 | 43 | 20 | 38 | 16 | 71.4% | 22.2% | 88.4% | 110.6 | FUN | |
13 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 9 | 17 | 0 | 0 | 2 | 1 | 4 | 3 | 71 | 26 | 19 | 26 | 5 | 71 | 26 | 8 | 42 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 49 | 29 | 39 | 17 | 35 | 19 | 58.3% | 11.3% | 91.5% | 102.8 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 23 | 14 | 8 | 1 | 0 | 29 | 7 | 4 | 20 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 20 | 11 | 21 | 9 | 17 | 9 | 50.0% | 8.7% | 96.6% | 105.2 | DULL | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 2 | 1 | 0 | 0 | 31 | 18 | 10 | 3 | 0 | 39 | 11 | 6 | 28 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 22 | 13 | 20 | 8 | 17 | 8 | 66.7% | 9.7% | 94.9% | 104.5 | LUCKY | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 7 | 13 | 0 | 0 | 2 | 2 | 2 | 0 | 42 | 13 | 9 | 20 | 0 | 36 | 20 | 11 | 20 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 22 | 13 | 21 | 8 | 16 | 9 | 83.3% | 14.3% | 91.7% | 106.0 | LUCKY | |
_Vs Division | 8 | 5 | 2 | 0 | 0 | 0 | 1 | 0 | 32 | 26 | 6 | 12 | 0.750 | 32 | 49 | 81 | 1 | 0 | 9 | 9 | 13 | 3 | 258 | 86 | 83 | 89 | 5 | 262 | 89 | 50 | 159 | 25 | 7 | 28.00% | 25 | 4 | 84.00% | 0 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 175 | 103 | 170 | 73 | 138 | 68 | 53.2% | 12.4% | 90.1% | 102.5 | FUN | |
_Vs Conference | 14 | 9 | 4 | 0 | 0 | 0 | 1 | 0 | 54 | 42 | 12 | 20 | 0.714 | 54 | 86 | 140 | 1 | 0 | 16 | 20 | 17 | 3 | 441 | 145 | 140 | 156 | 5 | 435 | 157 | 116 | 289 | 36 | 10 | 27.78% | 53 | 9 | 83.02% | 2 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 298 | 173 | 300 | 128 | 245 | 118 | 57.1% | 12.2% | 90.3% | 102.6 | FUN | |
_Since Last GM Reset | 21 | 13 | 7 | 0 | 0 | 0 | 1 | 0 | 79 | 63 | 16 | 28 | 0.667 | 79 | 123 | 202 | 1 | 0 | 26 | 26 | 26 | 3 | 671 | 236 | 201 | 234 | 5 | 647 | 232 | 173 | 443 | 56 | 18 | 32.14% | 79 | 19 | 75.95% | 2 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 450 | 264 | 445 | 191 | 369 | 178 | 58.1% | 11.8% | 90.3% | 102.0 | FUN | |
Total | 21 | 13 | 7 | 0 | 0 | 0 | 1 | 0 | 79 | 63 | 16 | 28 | 0.667 | 79 | 123 | 202 | 1 | 0 | 26 | 26 | 26 | 3 | 671 | 236 | 201 | 234 | 5 | 647 | 232 | 173 | 443 | 56 | 18 | 32.14% | 79 | 19 | 75.95% | 2 | 196 | 425 | 46.12% | 222 | 461 | 48.16% | 143 | 326 | 43.87% | 450 | 264 | 445 | 191 | 369 | 178 | 58.1% | 11.8% | 90.3% | 102.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 425 |
Neutral Zone Start | 326 |
Defensive Zone Start | 461 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 561 |
Faceoffs Lost | 651 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.2 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 32.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.7 | 2.67 |
Overtime | 3.9 | 2.83 |
Even Strenght Goal | 58 |
---|---|
PP Goal | 18 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 6 | 8 |
Lost | 5 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 56 |
---|---|
PP Goal | 18 |
PK Attempt | 79 |
PK Goal Against | 19 |
Home | |
---|---|
Shots For | 32.0 |
Shots Against | 30.8 |
Goals For | 3.8 |
Goals Against | 3.0 |
Hits | 21.1 |
Shots Blocked | 11.0 |
Pim | 8.2 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,907,500$ | 0$ | 81,907,500$ | 592,500$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | UBS Arena | |
City | Brooklyn | ||
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 | 63393 | 51843 | 21398 | 41644 | 10115 |
Attendance PCT | 96.05% | 94.26% | 97.26% | 94.65% | 91.95% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 17127 - 95.15% | 614,917$ | 6,764,083$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,907,500$ | 81,907,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
21,330,100$ | 81,907,500$ | 21,330,100$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
18,447,499$ | 142 | 426,602$ | 60,577,484$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
65,449,493$ | 81,907,500$ | -494,738,597$ | -541,740,591$ |
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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 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |
---|---|---|---|---|---|
1 ballo isl 2023 | |||||
Albert Sjoberg | 2021 | 201 | |||
Aleksi Malinen | 2021 | 169 | |||
Alex Green | |||||
Alexander Perevalov | 2022 | 85 | |||
Alexander Suzdalev | 2022 | 84 | |||
Arseni Koromyslov | 2022 | 117 | |||
Arvid Holm | |||||
Benjamin Gaudreau | 2021 | 51 | |||
Blake Murray | 2019 | 143 | |||
Brenden Troock | |||||
Brycen Martin | |||||
Cam Atkinson | Link | ||||
Cameron Allen | 2023 | 112 | |||
Cameron Hughes | Link | ||||
Carter Savoie | 2020 | 90 | |||
Clayton Phillips | |||||
Clifford Watson | |||||
Conner Roulette | 2021 | 105 | |||
Daniil Chayka | 2021 | 41 | |||
Danil Yurtaykin | |||||
Dominic James | 2022 | 181 | |||
Ethan Miedema | 2023 | 113 | |||
Gavin Brindley | 2023 | 48 | |||
John Quenneville | |||||
Joni Ikonen | |||||
Juho Markkanen | 2020 | 121 | |||
Kirill Kudryavtsev | 2022 | 213 | |||
Kyle Jackson | 2022 | 149 | |||
Lenni Hameenaho | 2023 | 80 | |||
Logan Nelson | |||||
Marat Khusnutdinov | 2020 | 59 | |||
Martin Chromiak | 2020 | 88 | |||
Matthew Bradley | |||||
Melvin Strahl | 2023 | 144 | |||
Miroslav Svoboda | |||||
Nicholas Merkley | Link | ||||
Oscar Dansk | Link | ||||
Oscar Plandowski | 2021 | 137 | |||
Ryan Bednard | |||||
Ryan Gropp | |||||
Ryan MacPherson | 2023 | 176 | |||
Ryan Tverberg | 2020 | 214 | |||
Samu Salminen | 2021 | 73 | |||
Semyon Kizimov | |||||
Simon Bourque | |||||
Simon Robertsson | 2021 | 72 | |||
Skyler McKenzie | |||||
Stepan Falkovsky | |||||
Stepan Zvyagin | 2023 | 208 | |||
Tom Willander | 2023 | 16 | |||
Vili Saarijavi | |||||
Vlasdilav Kamenev |
|