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Full Scoreboard »» |
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Full Scoreboard »» |
Bridgeport Islanders 25-34-9, 59pts · 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 | 97.00 | 67 | 32 | 96 | 57 | 75 | 71 | 77 | 59 | 58 | 61 | 61 | 60 | 60 | 69 | 68 | 0 | 30 | 71 | 27 | 1,100,000$/1yrs | |||
![]() | 0 | LW | 99.00 | 70 | 38 | 76 | 60 | 69 | 69 | 84 | 62 | 42 | 57 | 65 | 64 | 61 | 65 | 62 | 0 | 25 | 71 | 25 | 900,000$/2yrs | |||
![]() | 17 | RW | 99.00 | 87 | 48 | 73 | 56 | 76 | 74 | 80 | 56 | 76 | 55 | 57 | 69 | 57 | 68 | 65 | 0 | 31 | 70 | 26 | 800,000$/2yrs | |||
![]() | 0 | C/LW/RW | 98.00 | 69 | 33 | 93 | 55 | 80 | 72 | 80 | 56 | 79 | 60 | 55 | 60 | 55 | 65 | 64 | 0 | 29 | 68 | 25 | 1,000,000$/1yrs | |||
![]() | 0 | C | 97.00 | 60 | 38 | 91 | 52 | 74 | 64 | 86 | 64 | 73 | 52 | 54 | 67 | 53 | 68 | 67 | 0 | 30 | 68 | 27 | 800,000$/1yrs | |||
![]() | 0 | LW | 97.00 | 60 | 39 | 87 | 63 | 79 | 69 | 60 | 57 | 30 | 57 | 55 | 61 | 64 | 54 | 53 | 0 | 29 | 68 | 20 | 950,000$/2yrs | |||
![]() | 0 | LW/RW | 98.00 | 67 | 39 | 79 | 52 | 77 | 63 | 74 | 63 | 36 | 50 | 55 | 67 | 53 | 66 | 64 | 0 | 29 | 67 | 26 | 775,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 67 | 39 | 79 | 49 | 71 | 62 | 84 | 65 | 48 | 51 | 50 | 69 | 50 | 70 | 67 | 0 | 29 | 67 | 28 | 800,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 55 | 37 | 99 | 59 | 74 | 63 | 66 | 56 | 37 | 58 | 54 | 59 | 56 | 54 | 54 | 0 | 18 | 66 | 20 | 950,000$/2yrs | |||
![]() | 0 | RW | 98.00 | 90 | 44 | 50 | 54 | 93 | 62 | 86 | 51 | 47 | 52 | 54 | 63 | 56 | 59 | 54 | 0 | 30 | 66 | 22 | 852,500$/3yrs | |||
![]() | 0 | C | 100.00 | 68 | 40 | 77 | 50 | 76 | 58 | 79 | 60 | 46 | 49 | 47 | 63 | 48 | 59 | 56 | 0 | 19 | 64 | 27 | 844,167$/1yrs | |||
![]() | 0 | C | 100.00 | 99 | 46 | 50 | 47 | 80 | 58 | 70 | 62 | 67 | 47 | 46 | 65 | 47 | 62 | 57 | 0 | 20 | 64 | 25 | 775,000$/2yrs | |||
![]() | 0 | D | 97.00 | 72 | 34 | 57 | 60 | 86 | 86 | 70 | 59 | 30 | 66 | 61 | 63 | 60 | 69 | 65 | 0 | 20 | 74 | 27 | 1,000,000$/1yrs | |||
![]() | 4 | D | 100.00 | 70 | 33 | 92 | 56 | 81 | 83 | 72 | 57 | 30 | 61 | 61 | 60 | 59 | 78 | 77 | 0 | 23 | 73 | 32 | 775,000$/2yrs | |||
![]() | 0 | D | 97.00 | 72 | 32 | 94 | 55 | 72 | 75 | 69 | 56 | 30 | 59 | 50 | 62 | 53 | 70 | 70 | 0 | 30 | 70 | 28 | 900,000$/1yrs | |||
![]() | 4 | D | 100.00 | 65 | 39 | 83 | 47 | 73 | 63 | 81 | 46 | 30 | 52 | 50 | 68 | 51 | 68 | 66 | 0 | 33 | 65 | 28 | 775,000$/1yrs | |||
![]() | 6 | D | 100.00 | 57 | 38 | 95 | 44 | 77 | 61 | 88 | 43 | 30 | 49 | 47 | 70 | 48 | 71 | 71 | 0 | 19 | 64 | 29 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 82 | 45 | 91 | 61 | 85 | 45 | 30 | 50 | 50 | 66 | 50 | 64 | 62 | 0 | 20 | 64 | 26 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 86.89 | 68 | 34 | 85 | 56 | 91 | 71 | 72 | 58 | 74 | 56 | 62 | 57 | 60 | 72 | 70 | 0 | 17 | 70 | 28 | 850,000$/1yrs | |||
![]() | 18 | LW | 100.00 | 70 | 40 | 75 | 60 | 78 | 62 | 60 | 58 | 65 | 53 | 53 | 64 | 61 | 66 | 64 | 0 | 20 | 68 | 27 | ||||
![]() | 0 | RW | 100.00 | 60 | 38 | 91 | 49 | 76 | 60 | 83 | 63 | 37 | 47 | 50 | 66 | 48 | 64 | 63 | 0 | 25 | 65 | 25 | 775,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 59 | 39 | 92 | 54 | 86 | 58 | 60 | 56 | 65 | 51 | 42 | 66 | 55 | 66 | 65 | 0 | 20 | 64 | 28 | ||||
![]() | 0 | RW | 100.00 | 61 | 38 | 90 | 50 | 73 | 60 | 74 | 62 | 49 | 48 | 49 | 65 | 49 | 62 | 61 | 0 | 19 | 64 | 25 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 39 | 76 | 50 | 74 | 63 | 86 | 49 | 30 | 56 | 50 | 65 | 53 | 63 | 60 | 0 | 25 | 66 | 24 | 900,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 39 | 83 | 45 | 72 | 60 | 75 | 44 | 30 | 50 | 47 | 65 | 49 | 62 | 61 | 0 | 19 | 63 | 25 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 39 | 83 | 45 | 80 | 60 | 87 | 44 | 30 | 50 | 47 | 66 | 49 | 64 | 62 | 0 | 17 | 63 | 25 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 41 | 71 | 45 | 80 | 59 | 77 | 44 | 30 | 49 | 48 | 64 | 49 | 61 | 58 | 0 | 20 | 62 | 23 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 38 | 85 | 45 | 66 | 59 | 67 | 44 | 30 | 48 | 50 | 63 | 49 | 59 | 57 | 0 | 20 | 62 | 23 | 775,000$/1yrs |
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 | 98.00 | 70 | 75 | 68 | 69 | 77 | 74 | 72 | 70 | 74 | 72 | 72 | 67 | 68 | 0 | 23 | 76 | 26 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 74 | 76 | 71 | 71 | 78 | 75 | 74 | 74 | 75 | 75 | 75 | 62 | 63 | 0 | 22 | 77 | 23 | 950,000$/1yrs |
![]() | 0 | 95.00 | 68 | 61 | 66 | 79 | 66 | 72 | 69 | 74 | 72 | 72 | 69 | 83 | 86 | 0 | 24 | 75 | 35 | 800,000$/2yrs |
![]() | 90 | 100.00 | 69 | 62 | 66 | 80 | 66 | 71 | 68 | 71 | 71 | 71 | 68 | 75 | 78 | 0 | 20 | 74 | 30 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Barry Trotz | 87 | 85 | 78 | 85 | 99 | 89 | 90 | CAN | 60 | 3 | 1,000,000$ |
General Manager |
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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 | Jackson Cates | C | 68 | 22 | 29 | 51 | 9 | 0 | 0 | 22 | 200 | 56 | 151 | 11.00% | 16 | 19.97 | 0 | 12 | 12 | 187 | 0 | 0 | 0 | 116 | 3 | 1 | 54.40% | 1649 | 0 | 0 | 0 | 0 | 0.75 | 2 | 6 | ||
2 | Reese Johnson | RW | 67 | 19 | 25 | 44 | 14 | 76 | 10 | 199 | 223 | 57 | 134 | 8.52% | 19 | 18.05 | 3 | 10 | 13 | 162 | 0 | 0 | 0 | 28 | 0 | 0 | 52.26% | 155 | 0 | 0 | 0 | 0 | 0.73 | 1 | 5 | ||
3 | Casey Fitzgerald | D | 67 | 4 | 27 | 31 | -16 | 18 | 0 | 120 | 68 | 30 | 50 | 5.88% | 100 | 22.72 | 4 | 4 | 8 | 173 | 0 | 0 | 0 | 158 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
4 | Axel Jonsson-Fjallby | LW | 63 | 8 | 20 | 28 | -24 | 12 | 0 | 48 | 172 | 31 | 125 | 4.65% | 12 | 21.05 | 1 | 6 | 7 | 175 | 0 | 0 | 0 | 76 | 2 | 0 | 47.55% | 1222 | 0 | 0 | 0 | 0 | 0.42 | 1 | 1 | ||
5 | Radim Zohorna | LW/RW | 64 | 14 | 13 | 27 | -11 | 12 | 0 | 72 | 161 | 54 | 116 | 8.70% | 11 | 19.82 | 2 | 5 | 7 | 174 | 0 | 0 | 0 | 109 | 2 | 0 | 52.04% | 196 | 0 | 0 | 0 | 0 | 0.43 | 0 | 2 | ||
6 | Marc Johnstone | RW | 68 | 10 | 17 | 27 | 0 | 8 | 0 | 51 | 142 | 42 | 92 | 7.04% | 15 | 15.46 | 1 | 1 | 2 | 26 | 0 | 0 | 0 | 5 | 2 | 0 | 35.21% | 71 | 0 | 0 | 0 | 0 | 0.51 | 0 | 1 | ||
7 | Colton Poolman | D | 60 | 6 | 20 | 26 | 8 | 10 | 0 | 49 | 38 | 12 | 33 | 15.79% | 78 | 19.06 | 4 | 3 | 7 | 161 | 0 | 0 | 0 | 140 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
8 | Cameron Wright | LW/RW | 68 | 16 | 9 | 25 | -29 | 22 | 0 | 100 | 200 | 50 | 122 | 8.00% | 15 | 16.96 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 18 | 3 | 1 | 39.68% | 63 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
9 | Mitchell Vande Sompel | D | 67 | 7 | 17 | 24 | -19 | 44 | 10 | 74 | 68 | 15 | 43 | 10.29% | 98 | 20.82 | 4 | 3 | 7 | 162 | 0 | 0 | 0 | 155 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
10 | Scott Harrington | D | 45 | 4 | 19 | 23 | 9 | 34 | 0 | 104 | 46 | 23 | 34 | 8.70% | 48 | 18.62 | 1 | 4 | 5 | 77 | 0 | 0 | 0 | 71 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
11 | Samuel Honzek | LW | 68 | 11 | 12 | 23 | -13 | 2 | 0 | 11 | 155 | 43 | 113 | 7.10% | 12 | 20.10 | 2 | 2 | 4 | 146 | 0 | 0 | 0 | 133 | 3 | 1 | 31.54% | 967 | 0 | 0 | 0 | 0 | 0.34 | 2 | 2 | ||
12 | Rasmus Kupari | C/LW/RW | 68 | 10 | 12 | 22 | -23 | 14 | 0 | 69 | 144 | 47 | 108 | 6.94% | 12 | 18.94 | 0 | 2 | 2 | 62 | 0 | 0 | 0 | 70 | 1 | 1 | 52.59% | 405 | 0 | 0 | 0 | 0 | 0.34 | 0 | 1 | ||
13 | Angus Crookshank | LW | 57 | 7 | 9 | 16 | -14 | 14 | 0 | 59 | 90 | 32 | 66 | 7.78% | 8 | 10.38 | 2 | 1 | 3 | 45 | 0 | 0 | 0 | 17 | 0 | 1 | 38.00% | 600 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
14 | Griffin Mendel | D | 56 | 2 | 14 | 16 | -9 | 68 | 10 | 105 | 39 | 9 | 21 | 5.13% | 67 | 18.27 | 2 | 1 | 3 | 72 | 0 | 0 | 0 | 87 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
15 | Kaleb Lawrence | RW | 68 | 7 | 7 | 14 | -12 | 54 | 0 | 228 | 99 | 32 | 72 | 7.07% | 17 | 14.58 | 1 | 2 | 3 | 162 | 0 | 0 | 0 | 141 | 1 | 2 | 40.66% | 391 | 0 | 0 | 0 | 0 | 0.28 | 1 | 3 | ||
16 | Lassi Thomson | D | 60 | 2 | 10 | 12 | -12 | 52 | 0 | 125 | 31 | 10 | 38 | 6.45% | 70 | 18.56 | 1 | 0 | 1 | 69 | 0 | 0 | 0 | 52 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
17 | Marcus Bjork | D | 15 | 4 | 5 | 9 | -9 | 14 | 0 | 64 | 23 | 9 | 19 | 17.39% | 23 | 23.80 | 3 | 2 | 5 | 33 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
18 | Colby Barlow | LW | 24 | 0 | 3 | 3 | 4 | 0 | 0 | 0 | 7 | 5 | 5 | 0.00% | 1 | 2.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 1.25 | 0 | 0 | ||
19 | Michael Callahan | D | 13 | 1 | 1 | 2 | -3 | 4 | 0 | 9 | 5 | 2 | 3 | 20.00% | 5 | 6.95 | 1 | 0 | 1 | 6 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
20 | Raivis Ansons | C | 52 | 0 | 2 | 2 | 1 | 0 | 0 | 1 | 3 | 1 | 2 | 0.00% | 0 | 0.50 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 1.54 | 0 | 0 | ||
21 | Bryce Kindopp | RW | 65 | 0 | 1 | 1 | -3 | 0 | 0 | 0 | 9 | 3 | 2 | 0.00% | 0 | 0.63 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 1 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
22 | Peter Diliberatore | D | 6 | 0 | 0 | 0 | -1 | 2 | 0 | 16 | 4 | 1 | 3 | 0.00% | 6 | 17.00 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
23 | Kevin Wall | RW | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
24 | Samuel Bitten | C | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1235 | 154 | 272 | 426 | -153 | 460 | 30 | 1526 | 1928 | 564 | 1352 | 7.99% | 633 | 15.64 | 32 | 59 | 91 | 1927 | 0 | 0 | 0 | 1443 | 22 | 8 | 45.73% | 5736 | 0 | 0 | 0 | 0 | 0.44 | 7 | 21 |
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 | Strauss Mann | 42 | 13 | 20 | 6 | 0.912 | 2.87 | 2406 | 4 | 3 | 115 | 1310 | 0 | 0 | 1 | 0.500 | 8 | 40 | 18 | 6 | 3 | 0 | |
2 | Isaac Poulter | 16 | 11 | 4 | 1 | 0.939 | 2.03 | 947 | 2 | 1 | 32 | 525 | 0 | 0 | 0 | 0.667 | 6 | 16 | 15 | 4 | 0 | 2 | |
3 | Dustin Tokarski | 18 | 6 | 10 | 1 | 0.916 | 3.00 | 981 | 2 | 0 | 49 | 583 | 0 | 0 | 0 | 0.857 | 7 | 16 | 36 | 3 | 1 | 0 | |
Team Total or Average | 76 | 30 | 34 | 8 | 0.919 | 2.71 | 4335 | 8 | 4 | 196 | 2418 | 0 | 0 | 1 | 0.667 | 21 | 72 | 69 | 13 | 4 | 2 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Angus Crookshank | LW | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
Axel Jonsson-Fjallby | LW | 27 | 1,100,000$ | 1,100,000$ | UFA | ||||||
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$ | UFA | ||||||
Kaleb Lawrence | RW | 22 | 852,500$ | 852,500$ | 852,500$ | 852,500$ | |||||
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$ | UFA | ||||||
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$ | UFA | ||||||
Rasmus Kupari | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Reese Johnson | RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
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 |
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1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 54 | 48 | 52 | 9 | 61 | 616 | 668 | 684 | 41 | 89 | 28 | 16 | 30 | 5 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 58.3% | 11.5% | 93.3% | 104.7 | LUCKY | |
2 | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 8 | 15 | -7 | 1 | 0.125 | 8 | 13 | 21 | 1 | 0 | 54 | 48 | 52 | 9 | 104 | 616 | 668 | 684 | 41 | 127 | 50 | 34 | 104 | 12 | 0 | 0.00% | 17 | 1 | 94.12% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 36.4% | 7.7% | 88.2% | 95.9 | Unlucky | |
3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 54 | 48 | 52 | 9 | 73 | 616 | 668 | 684 | 41 | 83 | 23 | 14 | 46 | 7 | 1 | 14.29% | 7 | 4 | 42.86% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 37.5% | 5.5% | 89.2% | 94.6 | Unlucky | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 54 | 48 | 52 | 9 | 57 | 616 | 668 | 684 | 41 | 50 | 11 | 10 | 48 | 8 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 54.5% | 10.5% | 88.0% | 98.5 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 54 | 48 | 52 | 9 | 34 | 616 | 668 | 684 | 41 | 20 | 5 | 2 | 21 | 5 | 2 | 40.00% | 1 | 0 | 100.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 33.3% | 8.8% | 90.0% | 98.8 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 54 | 48 | 52 | 9 | 33 | 616 | 668 | 684 | 41 | 38 | 14 | 14 | 17 | 7 | 2 | 28.57% | 7 | 0 | 100.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 66.7% | 12.1% | 97.4% | 109.5 | LUCKY | |
7 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 0.250 | 7 | 13 | 20 | 0 | 0 | 54 | 48 | 52 | 9 | 101 | 616 | 668 | 684 | 41 | 113 | 27 | 14 | 95 | 11 | 1 | 9.09% | 7 | 1 | 85.71% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 35.3% | 6.9% | 89.4% | 96.3 | Unlucky | |
8 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 12 | -4 | 1 | 0.167 | 8 | 16 | 24 | 0 | 0 | 54 | 48 | 52 | 9 | 95 | 616 | 668 | 684 | 41 | 109 | 37 | 30 | 69 | 11 | 1 | 9.09% | 15 | 4 | 73.33% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 46.7% | 8.4% | 89.0% | 97.4 | Unlucky | |
9 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 54 | 48 | 52 | 9 | 64 | 616 | 668 | 684 | 41 | 64 | 20 | 12 | 41 | 6 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 41.7% | 7.8% | 89.1% | 96.9 | Unlucky | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 54 | 48 | 52 | 9 | 59 | 616 | 668 | 684 | 41 | 77 | 18 | 29 | 43 | 5 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 57.1% | 6.8% | 94.8% | 101.6 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 54 | 48 | 52 | 9 | 33 | 616 | 668 | 684 | 41 | 18 | 5 | 2 | 22 | 4 | 2 | 50.00% | 1 | 0 | 100.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 100.0% | 9.1% | 100.0% | 109.1 | LUCKY | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 54 | 48 | 52 | 9 | 33 | 616 | 668 | 684 | 41 | 29 | 10 | 2 | 18 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | nan% | 3.0% | 100.0% | 103.0 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 54 | 48 | 52 | 9 | 32 | 616 | 668 | 684 | 41 | 32 | 3 | 8 | 26 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 57.1% | 15.6% | 87.5% | 103.1 | FUN | |
14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 54 | 48 | 52 | 9 | 55 | 616 | 668 | 684 | 41 | 75 | 28 | 23 | 42 | 8 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 25.0% | 5.5% | 85.3% | 90.8 | Unlucky | |
15 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 54 | 48 | 52 | 9 | 77 | 616 | 668 | 684 | 41 | 116 | 34 | 26 | 77 | 7 | 3 | 42.86% | 12 | 1 | 91.67% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 31.3% | 10.4% | 89.7% | 100.0 | FUN | |
16 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 7 | 9 | -2 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 54 | 48 | 52 | 9 | 97 | 616 | 668 | 684 | 41 | 96 | 32 | 10 | 76 | 12 | 1 | 8.33% | 5 | 2 | 60.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 46.2% | 7.2% | 90.6% | 97.8 | Unlucky | |
17 | 5 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 13 | 17 | -4 | 4 | 0.400 | 13 | 24 | 37 | 0 | 0 | 54 | 48 | 52 | 9 | 142 | 616 | 668 | 684 | 41 | 213 | 59 | 35 | 129 | 13 | 3 | 23.08% | 15 | 2 | 86.67% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 40.0% | 9.2% | 92.0% | 101.2 | LUCKY | |
18 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 17 | 28 | 0 | 0 | 54 | 48 | 52 | 9 | 87 | 616 | 668 | 684 | 41 | 95 | 26 | 14 | 56 | 10 | 4 | 40.00% | 7 | 1 | 85.71% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 53.8% | 12.6% | 92.6% | 105.3 | LUCKY | |
19 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 8 | 11 | -3 | 3 | 0.375 | 8 | 15 | 23 | 0 | 0 | 54 | 48 | 52 | 9 | 98 | 616 | 668 | 684 | 41 | 138 | 37 | 33 | 85 | 9 | 1 | 11.11% | 13 | 1 | 92.31% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 41.2% | 8.2% | 92.0% | 100.2 | DULL | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 54 | 48 | 52 | 9 | 55 | 616 | 668 | 684 | 41 | 65 | 20 | 11 | 63 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 16.7% | 1.8% | 90.8% | 92.6 | Unlucky | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 54 | 48 | 52 | 9 | 12 | 616 | 668 | 684 | 41 | 35 | 9 | 10 | 19 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 0.0% | 0.0% | 94.3% | 94.3 | DULL | |
22 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 4 | 0.500 | 10 | 17 | 27 | 0 | 0 | 54 | 48 | 52 | 9 | 121 | 616 | 668 | 684 | 41 | 92 | 28 | 16 | 111 | 11 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 55.6% | 8.3% | 90.2% | 98.5 | Unlucky | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 54 | 48 | 52 | 9 | 68 | 616 | 668 | 684 | 41 | 75 | 26 | 21 | 29 | 10 | 1 | 10.00% | 7 | 2 | 71.43% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 33.3% | 4.4% | 92.0% | 96.4 | DULL | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 54 | 48 | 52 | 9 | 45 | 616 | 668 | 684 | 41 | 49 | 6 | 10 | 34 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 50.0% | 8.9% | 93.9% | 102.8 | Unlucky | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 54 | 48 | 52 | 9 | 57 | 616 | 668 | 684 | 41 | 73 | 21 | 16 | 54 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 37.5% | 7.0% | 91.8% | 98.8 | DULL | |
26 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 54 | 48 | 52 | 9 | 43 | 616 | 668 | 684 | 41 | 36 | 4 | 6 | 16 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 40.0% | 7.0% | 88.9% | 95.9 | Unlucky | |
27 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 7 | 11 | 0 | 0 | 54 | 48 | 52 | 9 | 61 | 616 | 668 | 684 | 41 | 56 | 27 | 10 | 45 | 9 | 1 | 11.11% | 5 | 0 | 100.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 60.0% | 6.6% | 96.4% | 103.0 | DULL | |
28 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.250 | 8 | 13 | 21 | 0 | 1 | 54 | 48 | 52 | 9 | 110 | 616 | 668 | 684 | 41 | 125 | 43 | 30 | 93 | 15 | 2 | 13.33% | 15 | 6 | 60.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 60.0% | 7.3% | 92.0% | 99.3 | DULL | |
29 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 54 | 48 | 52 | 9 | 24 | 616 | 668 | 684 | 41 | 42 | 5 | 10 | 28 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 0.0% | 4.2% | 95.2% | 99.4 | DULL | |
30 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 54 | 48 | 52 | 9 | 30 | 616 | 668 | 684 | 41 | 38 | 9 | 6 | 26 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 50.0% | 6.7% | 92.1% | 98.8 | DULL | |
31 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 54 | 48 | 52 | 9 | 27 | 616 | 668 | 684 | 41 | 45 | 10 | 8 | 22 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 57.1% | 14.8% | 93.3% | 108.1 | LUCKY | |
_Vs Division | 22 | 7 | 16 | 0 | 0 | 2 | 0 | 2 | 50 | 65 | -15 | 18 | 0.409 | 50 | 91 | 141 | 0 | 0 | 54 | 48 | 52 | 9 | 628 | 616 | 668 | 684 | 41 | 690 | 214 | 148 | 539 | 67 | 6 | 8.96% | 67 | 9 | 86.57% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 44.0% | 8.0% | 90.6% | 98.5 | Unlucky | |
_Vs Conference | 45 | 10 | 28 | 0 | 2 | 3 | 0 | 2 | 97 | 138 | -41 | 29 | 0.322 | 97 | 174 | 271 | 1 | 1 | 54 | 48 | 52 | 9 | 1285 | 616 | 668 | 684 | 41 | 1503 | 460 | 325 | 1078 | 140 | 14 | 10.00% | 142 | 26 | 81.69% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 42.6% | 7.5% | 90.8% | 98.4 | Unlucky | |
_Since Last GM Reset | 68 | 20 | 34 | 0 | 2 | 6 | 3 | 3 | 159 | 201 | -42 | 59 | 0.434 | 159 | 281 | 440 | 1 | 3 | 54 | 48 | 52 | 9 | 1988 | 616 | 668 | 684 | 41 | 2313 | 675 | 482 | 1585 | 220 | 32 | 14.55% | 216 | 39 | 81.94% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 43.9% | 8.0% | 91.3% | 99.3 | DULL | |
Total | 68 | 20 | 34 | 0 | 2 | 6 | 3 | 3 | 159 | 201 | -42 | 59 | 0.434 | 159 | 281 | 440 | 1 | 3 | 54 | 48 | 52 | 9 | 1988 | 616 | 668 | 684 | 41 | 2313 | 675 | 482 | 1585 | 220 | 32 | 14.55% | 216 | 39 | 81.94% | 0 | 1103 | 2325 | 47.44% | 1159 | 2532 | 45.77% | 460 | 1017 | 45.23% | 1530 | 1004 | 1670 | 543 | 923 | 454 | 43.9% | 8.0% | 91.3% | 99.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2325 |
Neutral Zone Start | 1017 |
Defensive Zone Start | 2532 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2722 |
Faceoffs Lost | 3152 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.1 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 28.9 | 30.68 |
Overtime | 29.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 126 |
---|---|
PP Goal | 32 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 16 | 9 |
Lost | 13 | 21 |
Overtime Lost | 4 | 5 |
PP Attempt | 220 |
---|---|
PP Goal | 32 |
PK Attempt | 216 |
PK Goal Against | 39 |
Home | |
---|---|
Shots For | 29.2 |
Shots Against | 34.0 |
Goals For | 2.3 |
Goals Against | 3.0 |
Hits | 23.3 |
Shots Blocked | 9.9 |
Pim | 7.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-06 | @ | Griffins4,Islanders2 | RECAP | |||||||||||
2024-10-11 | @ | Thunderbirds2,Islanders3 | RECAP | |||||||||||
2024-10-13 | @ | Islanders4,Roadrunners2 | RECAP | |||||||||||
2024-10-15 | @ | Wranglers4,Islanders3 (OT) | RECAP | |||||||||||
2024-10-17 | @ | Islanders3,Thunderbirds5 | RECAP | |||||||||||
2024-10-21 | @ | Wolf Pack1,Islanders0 | RECAP | |||||||||||
2024-10-22 | @ | Islanders3,Thunderbirds4 (OT) | RECAP | |||||||||||
2024-10-25 | @ | Islanders1,Admirals6 | RECAP | |||||||||||
2024-10-27 | @ | Islanders0,Penguins2 | RECAP | |||||||||||
2024-10-28 | @ | Islanders3,Bears2 | RECAP | |||||||||||
2024-10-29 | @ | Condors3,Islanders2 (SO) | RECAP | |||||||||||
2024-11-01 | @ | Bruins2,Islanders3 | RECAP | |||||||||||
2024-11-03 | @ | Islanders2,Phantoms3 (OT) | RECAP | |||||||||||
2024-11-05 | @ | Checkers3,Islanders2 | RECAP | |||||||||||
2024-11-07 | @ | Islanders0,Wolf Pack4 | RECAP | |||||||||||
2024-11-09 | @ | Islanders4,Moose3 | RECAP | |||||||||||
2024-11-11 | @ | Islanders1,Thunderbirds2 (SO) | RECAP | |||||||||||
2024-11-12 | @ | Condors3,Islanders4 (SO) | RECAP | |||||||||||
2024-11-14 | @ | Islanders4,Griffins5 (OT) | RECAP | |||||||||||
2024-11-16 | @ | Bruins3,Islanders2 (SO) | RECAP | |||||||||||
2024-11-18 | @ | Islanders1,Canucks0 | RECAP | |||||||||||
2024-11-19 | @ | Gulls5,Islanders2 | RECAP | |||||||||||
2024-11-22 | @ | Islanders2,Crunch5 | RECAP | |||||||||||
2024-11-23 | @ | Islanders0,IceHogs2 | RECAP | |||||||||||
2024-11-24 | @ | Crunch5,Islanders3 | RECAP | |||||||||||
2024-11-27 | @ | Islanders3,Roadrunners2 | RECAP | |||||||||||
2024-11-28 | @ | Senators3,Islanders2 | RECAP | |||||||||||
2024-12-04 | @ | Islanders2,Marlies1 (OT) | RECAP | |||||||||||
2024-12-05 | @ | Wolves2,Islanders3 | RECAP | |||||||||||
2024-12-10 | @ | Islanders1,Phantoms3 | RECAP | |||||||||||
2024-12-11 | @ | Wild0,Islanders3 | RECAP | |||||||||||
2024-12-14 | @ | Islanders1,Americans3 | RECAP | |||||||||||
2024-12-15 | @ | Silver Knights3,Islanders2 (OT) | RECAP | |||||||||||
2024-12-18 | @ | Islanders2,Admirals5 | RECAP | |||||||||||
2024-12-23 | @ | Reign4,Islanders5 | RECAP | |||||||||||
2024-12-26 | @ | Islanders1,Checkers3 | RECAP | |||||||||||
2024-12-27 | @ | Penguins5,Islanders4 | RECAP | |||||||||||
2024-12-29 | @ | Islanders3,Thunderbirds4 | RECAP | |||||||||||
2025-01-01 | @ | Islanders1,Bears2 | RECAP | |||||||||||
2025-01-02 | @ | Rocket3,Islanders4 (OT) | RECAP | |||||||||||
2025-01-06 | @ | Gulls1,Islanders2 | RECAP | |||||||||||
2025-01-08 | @ | Islanders3,Wolf Pack4 | RECAP | |||||||||||
2025-01-11 | @ | Comets4,Islanders1 | RECAP | |||||||||||
2025-01-13 | @ | Islanders4,Firebirds3 (SO) | RECAP | |||||||||||
2025-01-16 | @ | Wranglers2,Islanders4 | RECAP | |||||||||||
2025-01-22 | @ | Islanders1,Condors3 | RECAP | |||||||||||
2025-01-23 | @ | Marlies1,Islanders2 | RECAP | |||||||||||
2025-01-25 | @ | Crunch2,Islanders3 | RECAP | |||||||||||
2025-01-28 | @ | Islanders1,Monsters3 | RECAP | |||||||||||
2025-01-30 | @ | Monsters3,Islanders2 | RECAP | |||||||||||
2025-01-31 | @ | Islanders1,Rocket4 | RECAP | |||||||||||
2025-02-02 | @ | Griffins3,Islanders2 | RECAP | |||||||||||
2025-02-09 | @ | Penguins0,Islanders2 | RECAP | |||||||||||
2025-02-10 | @ | Islanders3,Checkers1 | RECAP | |||||||||||
2025-02-13 | @ | Checkers2,Islanders4 | RECAP | |||||||||||
2025-02-15 | @ | Phantoms3,Islanders1 | RECAP | |||||||||||
2025-02-20 | @ | Americans3,Islanders0 | RECAP | |||||||||||
2025-02-25 | @ | Islanders3,Stars4 (OT) | RECAP | |||||||||||
2025-02-26 | @ | Phantoms6,Islanders4 | RECAP | |||||||||||
2025-03-01 | @ | Wolf Pack3,Islanders4 | RECAP | |||||||||||
2025-03-03 | @ | Islanders4,Senators3 | RECAP | |||||||||||
2025-03-05 | @ | Islanders2,Bruins3 | RECAP | |||||||||||
2025-03-06 | @ | Eagles1,Islanders4 | RECAP | |||||||||||
2025-03-07 | @ | Islanders3,Comets5 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-13 | @ | Islanders2,Penguins3 | RECAP | |||||||||||
2025-03-14 | @ | Islanders1,Barracuda2 | RECAP | |||||||||||
2025-03-16 | @ | Roadrunners3,Islanders4 (SO) | RECAP | |||||||||||
2025-03-17 | @ | Islanders1,Bruins3 | RECAP | |||||||||||
2025-03-21 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-04-04 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,457,167$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | Bridgeport | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
3 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,457,167$ | 2,457,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,983,793$ | 13,501$ | 2,082,704$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 32 | 18,995$ | 341,910$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
341,910$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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