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Full Scoreboard »» |
![]() | Bridgeport Islanders 2-2-0, 4pts · 10th in Conference 1 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 62 | 41 | 75 | 68 | 69 | 73 | 67 | 66 | 62 | 63 | 62 | 61 | 65 | 60 | 50 | 1 | 50 | 63 | 26 | 1,200,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 64 | 55 | 69 | 67 | 73 | 68 | 67 | 45 | 63 | 60 | 57 | 65 | 60 | 50 | 1 | 50 | 62 | 26 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 56 | 45 | 66 | 67 | 61 | 73 | 72 | 65 | 63 | 63 | 61 | 58 | 64 | 65 | 61 | 1 | 50 | 62 | 31 | 1,000,000$/4yrs | |||
![]() | 0 | C | 100.00 | 54 | 41 | 74 | 69 | 54 | 67 | 65 | 63 | 45 | 62 | 57 | 56 | 63 | 53 | 50 | 1 | 50 | 59 | 25 | 1,200,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 42 | 67 | 59 | 70 | 64 | 62 | 62 | 57 | 60 | 57 | 53 | 60 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 62 | 41 | 66 | 59 | 65 | 64 | 63 | 59 | 42 | 60 | 54 | 59 | 57 | 52 | 50 | 1 | 50 | 58 | 26 | 975,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 59 | 41 | 71 | 64 | 62 | 68 | 66 | 59 | 41 | 53 | 53 | 59 | 59 | 57 | 50 | 1 | 50 | 58 | 28 | 1,200,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 42 | 73 | 64 | 62 | 68 | 67 | 61 | 44 | 55 | 55 | 55 | 60 | 55 | 50 | 1 | 50 | 58 | 27 | 1,100,000$/1yrs | |||
![]() | 0 | C | 100.00 | 56 | 42 | 69 | 65 | 61 | 65 | 63 | 59 | 42 | 56 | 54 | 56 | 59 | 55 | 50 | 1 | 50 | 57 | 27 | 1,000,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 61 | 63 | 50 | 60 | 65 | 69 | 68 | 58 | 42 | 53 | 52 | 57 | 57 | 59 | 50 | 1 | 50 | 57 | 29 | 1,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 40 | 78 | 73 | 76 | 83 | 66 | 68 | 40 | 65 | 63 | 68 | 68 | 59 | 50 | 1 | 50 | 67 | 30 | 1,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 75 | 71 | 80 | 77 | 65 | 67 | 40 | 64 | 62 | 67 | 66 | 55 | 50 | 1 | 50 | 66 | 22 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 54 | 42 | 69 | 68 | 66 | 68 | 64 | 66 | 40 | 61 | 64 | 62 | 66 | 60 | 50 | 1 | 50 | 62 | 27 | 1,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 58 | 40 | 69 | 67 | 77 | 77 | 59 | 64 | 40 | 63 | 59 | 60 | 63 | 51 | 50 | 1 | 50 | 62 | 19 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 41 | 71 | 66 | 63 | 66 | 64 | 57 | 40 | 53 | 52 | 65 | 58 | 57 | 50 | 1 | 50 | 60 | 28 | 1,415,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 46 | 63 | 58 | 73 | 67 | 65 | 57 | 40 | 51 | 51 | 62 | 55 | 57 | 50 | 1 | 50 | 59 | 28 | 1,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 40 | 67 | 67 | 58 | 59 | 57 | 60 | 40 | 59 | 55 | 61 | 61 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 61 | 42 | 63 | 62 | 63 | 61 | 59 | 58 | 40 | 55 | 55 | 61 | 58 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 61 | 41 | 67 | 62 | 62 | 60 | 58 | 57 | 40 | 55 | 54 | 59 | 57 | 50 | 50 | 1 | 50 | 57 | 22 | 867,500$/2yrs | |||
![]() | 0 | LW | 100.00 | 58 | 41 | 67 | 59 | 62 | 62 | 61 | 60 | 42 | 59 | 55 | 54 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 846,667$/2yrs | |||
![]() | 0 | RW | 100.00 | 58 | 49 | 62 | 61 | 64 | 67 | 65 | 59 | 41 | 55 | 53 | 53 | 57 | 54 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 59 | 43 | 67 | 65 | 62 | 63 | 62 | 60 | 42 | 57 | 53 | 55 | 59 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 40 | 67 | 62 | 65 | 60 | 58 | 54 | 40 | 51 | 52 | 57 | 56 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 40 | 59 | 62 | 61 | 58 | 56 | 55 | 40 | 54 | 54 | 56 | 57 | 50 | 50 | 1 | 50 | 56 | 21 | 975,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 60 | 41 | 66 | 61 | 62 | 58 | 56 | 57 | 40 | 54 | 54 | 55 | 57 | 50 | 50 | 1 | 50 | 56 | 21 | 975,000$/3yrs | |||
![]() | 0 | C | 100.00 | 65 | 40 | 71 | 59 | 71 | 62 | 60 | 56 | 54 | 52 | 52 | 55 | 55 | 52 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 55 | 40 | 66 | 62 | 58 | 58 | 57 | 55 | 40 | 53 | 53 | 54 | 57 | 50 | 50 | 1 | 50 | 55 | 22 | 843,333$/1yrs | |||
![]() | 0 | LW | 100.00 | 59 | 41 | 63 | 59 | 62 | 58 | 56 | 55 | 40 | 53 | 53 | 54 | 56 | 50 | 50 | 1 | 50 | 55 | 21 | 828,333$/2yrs |
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 | 68 | 62 | 64 | 76 | 70 | 70 | 72 | 69 | 71 | 67 | 59 | 51 | 50 | 1 | 50 | 63 | 23 | 975,000$/2yrs |
![]() | 0 | 100.00 | 68 | 60 | 61 | 61 | 64 | 64 | 66 | 63 | 66 | 64 | 59 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/2yrs |
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Stevens | 73 | 81 | 77 | 81 | 64 | 59 | 1 | CAN | 58 | 2 | 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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ben Meyers | ![]() | C/LW | 4 | 1 | 3 | 4 | -2 | 2 | 0 | 3 | 13 | 4 | 2 | 7.69% | 4 | 24.59 | 0 | 2 | 2 | 0 | 0 | 0 | 3 | 1 | 0 | 52.83% | 0 | 0 | 1.00 | 0 | 0 | 0.71 | |||
2 | Mason Shaw | ![]() | C/LW/RW | 4 | 1 | 1 | 2 | -2 | 0 | 0 | 8 | 11 | 1 | 5 | 9.09% | 2 | 22.34 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 39.22% | 0 | 0 | 0.50 | 0 | 0 | 0.42 | |||
3 | Ryan Schmelzer | ![]() | C | 4 | 2 | 0 | 2 | -3 | 4 | 0 | 7 | 5 | 2 | 6 | 40.00% | 3 | 19.38 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 60.00% | 0 | 0 | 0.50 | 0 | 0 | 0.12 | |||
4 | Tyler Madden | ![]() | C | 4 | 1 | 1 | 2 | 2 | 0 | 0 | 2 | 7 | 0 | 1 | 14.29% | 1 | 13.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.50 | 0 | 0 | 0.65 | |||
5 | Ethan Del Mastro | ![]() | D | 4 | 0 | 1 | 1 | -4 | 0 | 0 | 6 | 7 | 0 | 6 | 0.00% | 3 | 28.04 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.02 | |||
6 | Dylan Coghlan | ![]() | D | 4 | 0 | 1 | 1 | -1 | 2 | 0 | 8 | 6 | 6 | 3 | 0.00% | 4 | 29.06 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.18 | |||
7 | Artyom Levshunov | ![]() | D | 4 | 0 | 1 | 1 | -4 | 2 | 0 | 4 | 4 | 1 | 1 | 0.00% | 6 | 19.90 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.12 | |||
8 | Brandon Gignac | ![]() | C | 4 | 0 | 1 | 1 | -3 | 0 | 0 | 2 | 4 | 1 | 3 | 0.00% | 2 | 19.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 0 | 0 | 0.25 | 0 | 0 | 0.01 | |||
9 | Oscar Eklind | ![]() | C/LW | 4 | 0 | 1 | 1 | -3 | 0 | 0 | 5 | 5 | 1 | 4 | 0.00% | 0 | 16.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.25 | 0 | 0 | 0.02 | |||
10 | Brendan Warren | ![]() | LW | 4 | 1 | 0 | 1 | -3 | 0 | 0 | 7 | 2 | 0 | 2 | 50.00% | 0 | 18.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.83% | 0 | 0 | 0.25 | 0 | 0 | -0.06 | |||
11 | Dmitry Osipov | ![]() | D | 4 | 0 | 0 | 0 | -1 | 2 | 0 | 2 | 1 | 0 | 0 | 0.00% | 2 | 13.98 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.14 | |||
12 | Stephen Halliday | ![]() | C | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 7 | 3 | 0 | 3 | 0.00% | 1 | 16.25 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 57.14% | 0 | 0 | 0.00 | 0 | 0 | -0.08 | |||
13 | Marek Alscher | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 6.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
14 | Nick DeSimone | ![]() | D | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 1 | 3 | 1 | 0.00% | 4 | 22.21 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | |||
15 | Seamus Casey | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
16 | Mitchell Vande Sompel | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
17 | Hayden Hodgson | ![]() | RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 4.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
18 | Jackson Cates | ![]() | C/LW/RW | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 7 | 4 | 5 | 2 | 0.00% | 0 | 17.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | -0.13 | |||
Team Total or Average | 71 | 6 | 10 | 16 | -31 | 12 | 0 | 72 | 73 | 24 | 39 | 8.22% | 32 | 16.54 | 2 | 3 | 5 | 72 | 0 | 0 | 0 | 28 | 2 | 1 | 46.63% | 163 | 19 | 32 | 0 | 0 | 0.27 | 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 |
# | 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 | Dennis Hildeby | ![]() | 4 | 2 | 2 | 0 | 0.900 | 2.93 | 205 | 0 | 0 | 10 | 100 | 44 | 0 | 0 | 0.000 | 0 | 4 | 0 | 1 | 0 | 0 |
2 | Thomas Milic | ![]() | 1 | 0 | 0 | 0 | 0.900 | 3.53 | 34 | 0 | 0 | 2 | 20 | 9 | 0 | 0 | 0.000 | 0 | 0 | 4 | 0 | 0 | 0 |
Team Total or Average | 5 | 2 | 2 | 0 | 0.900 | 3.00 | 240 | 0 | 0 | 12 | 120 | 53 | 0 | 0 | 0.000 | 0 | 4 | 4 | 1 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Artyom Levshunov | D | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ben Meyers | C/LW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Brandon Gignac | C | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Brendan Warren | LW | 28 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Corey Andonovski | RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Dennis Hildeby | G | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Dmitry Osipov | D | 28 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Dylan Coghlan | D | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Ethan Del Mastro | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Hayden Hodgson | RW | 29 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Henri Nikkanen | C | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Jackson Cates | C/LW/RW | 27 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Jake Chiasson | RW | 22 | 843,333$ | 975,000$ | RFA | ||||||
Josh Davies | LW | 21 | 828,333$ | 975,000$ | 975,000$ | RFA | |||||
Justin Ertel | LW | 22 | 867,500$ | 975,000$ | 975,000$ | RFA | |||||
Marek Alscher | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Mason Shaw | C/LW/RW | 26 | 1,500,000$ | 1,500,000$ | |||||||
Maxim Barbashev | C/LW/RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Mitchell Vande Sompel | D | 28 | 1,415,000$ | 1,415,000$ | 1,415,000$ | UFA | |||||
Nick DeSimone | D | 30 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Oscar Eklind | C/LW | 26 | 975,000$ | 975,000$ | UFA | ||||||
Ryan Hofer | C | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Ryan Schmelzer | C | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Samuel Savoie | LW | 21 | 846,667$ | 975,000$ | 975,000$ | RFA | |||||
Seamus Casey | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Stephen Halliday | C | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Thomas Milic | G | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Ty Tullio | RW | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Tyler Madden | C | 25 | 1,200,000$ | 1,200,000$ | |||||||
Zac Funk | RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 4 | 1 | 0 | 40 | 10 | 40 | 23 | 0 | 81 | 16 | 8 | 38 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 23 | 49 | 46.94% | 39 | 88 | 44.32% | 24 | 45 | 53.33% | 69 | 27 | 80 | 40 | 90 | 47 | 25.0% | 7.5% | 91.4% | 98.9 | DULL |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 4 | 1 | 0 | 16 | 10 | 40 | 23 | 0 | 17 | 4 | 0 | 18 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 23 | 49 | 46.94% | 39 | 88 | 44.32% | 24 | 45 | 53.33% | 69 | 27 | 80 | 40 | 90 | 47 | 50.0% | 12.5% | 94.1% | 106.6 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 4 | 1 | 0 | 17 | 10 | 40 | 23 | 0 | 22 | 12 | 4 | 18 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 23 | 49 | 46.94% | 39 | 88 | 44.32% | 24 | 45 | 53.33% | 69 | 27 | 80 | 40 | 90 | 47 | 25.0% | 5.9% | 81.8% | 87.7 | Unlucky |
_Vs Division | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 2.000 | 2 | 4 | 6 | 0 | 0 | 1 | 4 | 1 | 0 | 16 | 10 | 40 | 23 | 0 | 17 | 4 | 0 | 18 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 23 | 49 | 46.94% | 39 | 88 | 44.32% | 24 | 45 | 53.33% | 69 | 27 | 80 | 40 | 90 | 47 | 50.0% | 12.5% | 94.1% | 106.6 | LUCKY | |
_Vs Conference | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 4 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 73 | 10 | 40 | 23 | 0 | 120 | 32 | 12 | 74 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 23 | 49 | 46.94% | 39 | 88 | 44.32% | 24 | 45 | 53.33% | 69 | 27 | 80 | 40 | 90 | 47 | 28.6% | 8.2% | 90.0% | 98.2 | Unlucky | |
_Since Last GM Reset | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 4 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 73 | 10 | 40 | 23 | 0 | 120 | 32 | 12 | 74 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 23 | 49 | 46.94% | 39 | 88 | 44.32% | 24 | 45 | 53.33% | 69 | 27 | 80 | 40 | 90 | 47 | 28.6% | 8.2% | 90.0% | 98.2 | Unlucky | |
Total | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 4 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 73 | 10 | 40 | 23 | 0 | 120 | 32 | 12 | 74 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 23 | 49 | 46.94% | 39 | 88 | 44.32% | 24 | 45 | 53.33% | 69 | 27 | 80 | 40 | 90 | 47 | 28.6% | 8.2% | 90.0% | 98.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 17 |
Neutral Zone | 22 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 49 |
Neutral Zone Start | 45 |
Defensive Zone Start | 88 |
Puck Time | |
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With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 86 |
Faceoffs Lost | 96 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 2.5 | 9.57 |
2nd Period | 12.5 | 20.31 |
3rd Period | 18.3 | 30.68 |
Overtime | 18.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 1.5 | 2.67 |
Overtime | 1.5 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 1 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 9 |
---|---|
PP Goal | 2 |
PK Attempt | 6 |
PK Goal Against | 2 |
Home | |
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Shots For | 18.3 |
Shots Against | 30.0 |
Goals For | 1.5 |
Goals Against | 3.0 |
Hits | 18.5 |
Shots Blocked | 8.0 |
Pim | 3.0 |
Date | Matchup | Result | Detail | |||||||||||
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Wed, Oct 8 | ![]() | @ | ![]() | NYI2,FLO1 | RECAP | |||||||||
Fri, Oct 10 | ![]() | @ | ![]() | PHI4,NYI1 | RECAP | |||||||||
Sun, Oct 12 | ![]() | @ | ![]() | NYI1,CAR6 | RECAP | |||||||||
Tue, Oct 14 | ![]() | @ | ![]() | CAR1,NYI2 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,266,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Bridgeport | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
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 |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,266,500$ | 3,266,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
202,811$ | 0$ | 155,468$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 25,246$ | 4,064,606$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
4,064,606$ | 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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