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Full Scoreboard »» |
![]() | Rochester Americans 3-0-1, 7pts · 1st 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 | 99.00 | 69 | 40 | 77 | 73 | 75 | 74 | 66 | 68 | 77 | 64 | 64 | 64 | 68 | 56 | 50 | 1 | 50 | 65 | 22 | 1,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 62 | 40 | 77 | 72 | 69 | 77 | 74 | 66 | 53 | 64 | 60 | 62 | 66 | 71 | 62 | 1 | 50 | 65 | 29 | 1,250,000$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 59 | 42 | 74 | 67 | 69 | 72 | 69 | 63 | 46 | 60 | 57 | 57 | 62 | 75 | 56 | 1 | 50 | 61 | 25 | 1,500,000$/3yrs | |||
![]() | 0 | C | 99.00 | 59 | 42 | 72 | 67 | 64 | 69 | 65 | 64 | 45 | 63 | 59 | 62 | 63 | 60 | 50 | 1 | 50 | 61 | 28 | 975,000$/3yrs | |||
![]() | 0 | C | 100.00 | 61 | 40 | 73 | 65 | 63 | 66 | 64 | 63 | 49 | 63 | 56 | 62 | 61 | 52 | 50 | 1 | 50 | 60 | 24 | 975,000$/2yrs | |||
![]() | 0 | LW | 99.00 | 67 | 56 | 61 | 63 | 74 | 70 | 69 | 60 | 45 | 55 | 56 | 58 | 59 | 78 | 57 | 1 | 50 | 60 | 29 | 1,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 58 | 43 | 68 | 69 | 62 | 64 | 62 | 63 | 62 | 63 | 57 | 57 | 63 | 51 | 50 | 1 | 50 | 60 | 23 | 975,000$/2yrs | |||
![]() | 0 | RW | 99.00 | 62 | 42 | 71 | 65 | 65 | 64 | 63 | 62 | 41 | 57 | 57 | 61 | 61 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 41 | 72 | 65 | 64 | 63 | 61 | 60 | 42 | 56 | 53 | 59 | 59 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/2yrs | |||
![]() | 0 | C | 100.00 | 56 | 41 | 72 | 65 | 62 | 61 | 59 | 59 | 42 | 57 | 54 | 52 | 59 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 58 | 42 | 69 | 65 | 61 | 64 | 62 | 60 | 42 | 54 | 54 | 54 | 60 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/1yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 60 | 40 | 62 | 62 | 61 | 58 | 56 | 57 | 41 | 55 | 54 | 58 | 58 | 50 | 50 | 1 | 50 | 56 | 21 | 975,000$/1yrs | |||
![]() | 0 | D | 99.00 | 60 | 40 | 84 | 72 | 83 | 86 | 74 | 70 | 40 | 65 | 64 | 70 | 69 | 62 | 53 | 1 | 50 | 69 | 27 | 1,125,000$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 42 | 79 | 69 | 65 | 74 | 73 | 64 | 40 | 63 | 56 | 67 | 63 | 78 | 57 | 1 | 50 | 65 | 29 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 41 | 72 | 74 | 70 | 75 | 66 | 65 | 40 | 61 | 59 | 68 | 66 | 65 | 59 | 1 | 50 | 65 | 24 | 1,400,000$/4yrs | |||
![]() | 0 | D | 99.00 | 63 | 44 | 66 | 69 | 63 | 66 | 65 | 63 | 40 | 58 | 57 | 68 | 63 | 53 | 50 | 1 | 50 | 62 | 25 | 1,125,000$/3yrs | |||
![]() | 0 | D | 100.00 | 60 | 42 | 63 | 66 | 61 | 61 | 59 | 58 | 40 | 57 | 55 | 64 | 60 | 50 | 50 | 1 | 50 | 59 | 21 | 826,667$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 42 | 68 | 67 | 64 | 62 | 59 | 57 | 40 | 54 | 53 | 63 | 59 | 52 | 50 | 1 | 50 | 59 | 24 | 975,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 56 | 40 | 69 | 69 | 71 | 75 | 59 | 62 | 46 | 59 | 59 | 61 | 64 | 51 | 50 | 1 | 50 | 61 | 21 | 950,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 61 | 53 | 58 | 69 | 62 | 64 | 62 | 61 | 43 | 61 | 56 | 61 | 62 | 51 | 50 | 1 | 50 | 60 | 23 | 975,000$/1yrs | |||
![]() | 0 | C | 100.00 | 56 | 42 | 68 | 63 | 65 | 63 | 61 | 62 | 58 | 58 | 57 | 52 | 61 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 56 | 56 | 65 | 61 | 64 | 62 | 58 | 42 | 53 | 52 | 52 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/4yrs | |||
![]() | 0 | C | 100.00 | 57 | 42 | 72 | 60 | 65 | 65 | 64 | 58 | 58 | 54 | 53 | 51 | 57 | 52 | 50 | 1 | 50 | 56 | 24 | 975,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 40 | 68 | 62 | 64 | 61 | 58 | 54 | 52 | 51 | 51 | 53 | 56 | 52 | 50 | 1 | 50 | 55 | 24 | 975,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 41 | 77 | 72 | 75 | 75 | 68 | 66 | 40 | 60 | 62 | 66 | 66 | 59 | 53 | 1 | 50 | 65 | 24 | 975,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 78 | 68 | 67 | 72 | 71 | 75 | 76 | 76 | 76 | 72 | 67 | 56 | 52 | 1 | 50 | 67 | 22 | 975,000$/3yrs |
![]() | 0 | 100.00 | 74 | 67 | 71 | 70 | 72 | 71 | 74 | 71 | 72 | 72 | 62 | 55 | 50 | 1 | 50 | 65 | 27 | 1,800,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 67 | 58 | 55 | 66 | 63 | 61 | 61 | 58 | 62 | 62 | 53 | 55 | 50 | 1 | 50 | 57 | 27 | 975,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Foote | 74 | 76 | 75 | 74 | 72 | 66 | 1 | CAN | 53 | 3 | 500,000$ |
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 | Aatu Raty | ![]() | C | 4 | 1 | 3 | 4 | 2 | 2 | 0 | 8 | 7 | 1 | 7 | 14.29% | 0 | 20.08 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 1 | 0 | 53.85% | 0 | 0 | 1.00 | 0 | 0 | 0.95 | |||
2 | Tanner Laczynski | ![]() | C | 4 | 3 | 1 | 4 | 2 | 0 | 0 | 10 | 18 | 4 | 0 | 16.67% | 0 | 20.19 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 1 | 1 | 48.44% | 0 | 0 | 1.00 | 0 | 0 | 1.28 | |||
3 | Jaret Anderson-Dolan | ![]() | C/RW | 4 | 1 | 2 | 3 | 2 | 5 | 5 | 9 | 5 | 2 | 4 | 20.00% | 1 | 19.28 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 0 | 0 | 0.75 | 0 | 1 | 0.66 | |||
4 | Daniil Miromanov | ![]() | D | 4 | 0 | 3 | 3 | 5 | 17 | 5 | 2 | 9 | 5 | 8 | 0.00% | 8 | 27.22 | 0 | 1 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.75 | 0 | 0 | 0.49 | |||
5 | Brendan Lemieux | ![]() | LW | 4 | 1 | 1 | 2 | 2 | 14 | 10 | 10 | 10 | 1 | 3 | 10.00% | 2 | 22.32 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 1 | 20.00% | 0 | 0 | 0.50 | 0 | 1 | 0.18 | |||
6 | Matthew Highmore | ![]() | C/RW | 4 | 2 | 0 | 2 | 1 | 0 | 0 | 4 | 10 | 2 | 2 | 20.00% | 0 | 18.20 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 1 | 18.18% | 0 | 0 | 0.50 | 0 | 1 | 0.65 | |||
7 | Ryan Greene | ![]() | C | 1 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 1 | 1 | 6 | 0.00% | 0 | 14.63 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 54.55% | 0 | 0 | 2.00 | 0 | 0 | 1.56 | |||
8 | Cross Hanas | ![]() | LW | 4 | 2 | 0 | 2 | 0 | 0 | 0 | 4 | 6 | 1 | 3 | 33.33% | 0 | 7.46 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 100.00% | 0 | 0 | 0.50 | 0 | 0 | 0.54 | |||
9 | John Farinacci | ![]() | C | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 5 | 6 | 1 | 3 | 0.00% | 1 | 14.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34.78% | 0 | 0 | 0.25 | 0 | 0 | 0.38 | |||
10 | Maxim Groshev | ![]() | RW | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 4 | 4 | 0 | 5 | 25.00% | 0 | 15.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.37 | |||
11 | Dans Locmelis | ![]() | C/LW/RW | 4 | 0 | 1 | 1 | 2 | 2 | 0 | 7 | 7 | 1 | 1 | 0.00% | 1 | 16.23 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 0 | 0 | 0.25 | 0 | 0 | 0.43 | |||
12 | Vladislav Kolyachonok | ![]() | D | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 18.60 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 0.30 | |||
13 | Declan Carlile | ![]() | D | 4 | 0 | 1 | 1 | 3 | 9 | 5 | 9 | 2 | 5 | 2 | 0.00% | 4 | 23.82 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.19 | |||
14 | Vasili Ponomarev | ![]() | C | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 6 | 4 | 3 | 4 | 0.00% | 0 | 13.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.38 | |||
15 | Brett Harrison | ![]() | C | 3 | 0 | 0 | 0 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 6.46 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.23 | |||
16 | Jakub Brabenec | ![]() | C | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
17 | Angus Booth | ![]() | D | 4 | 0 | 0 | 0 | 2 | 4 | 0 | 2 | 2 | 0 | 1 | 0.00% | 0 | 15.20 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
18 | Sebastien Aho | ![]() | D | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 3 | 0 | 0 | 0.00% | 1 | 21.87 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
19 | Ville Heinola | ![]() | D | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | 1 | 0 | 0.00% | 4 | 21.18 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.14 | |||
20 | Santeri Hatakka | ![]() | D | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 1 | 1 | 0.00% | 1 | 12.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.11 | |||
21 | Ozzy Wiesblatt | ![]() | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 0.00% | 0 | 11.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.19 | |||
Team Total or Average | 72 | 11 | 17 | 28 | 23 | 55 | 25 | 91 | 99 | 33 | 51 | 11.11% | 23 | 16.69 | 3 | 6 | 9 | 86 | 0 | 0 | 0 | 64 | 3 | 3 | 43.60% | 172 | 21 | 17 | 0 | 0 | 0.47 | 0 | 3 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Leevi Merilainen | ![]() | 4 | 3 | 0 | 1 | 0.938 | 1.22 | 245 | 0 | 1 | 5 | 80 | 43 | 0 | 0 | 0.667 | 3 | 4 | 0 | 1 | 0 | 0 |
Team Total or Average | 4 | 3 | 0 | 1 | 0.938 | 1.22 | 245 | 0 | 1 | 5 | 80 | 43 | 0 | 0 | 0.667 | 3 | 4 | 0 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Raty | C | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Adam Raska | LW/RW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Angus Booth | D | 21 | 826,667$ | 975,000$ | 975,000$ | RFA | |||||
Brandon Bussi | G | 27 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | ||||
Brendan Lemieux | LW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Brett Harrison | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Caedan Bankier | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Cross Hanas | LW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Daniil Miromanov | D | 27 | 1,125,000$ | 1,125,000$ | 1,125,000$ | 1,125,000$ | UFA | ||||
Dans Locmelis | C/LW/RW | 21 | 975,000$ | 975,000$ | RFA | ||||||
Declan Carlile | D | 25 | 1,125,000$ | 1,125,000$ | 1,125,000$ | 1,125,000$ | UFA | ||||
Ilya Nikolaev | C | 24 | 975,000$ | 975,000$ | |||||||
Jack LaFontaine | G | 27 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Jakub Brabenec | C | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jaret Anderson-Dolan | C/RW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
John Farinacci | C | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
Josh Lopina | C | 24 | 975,000$ | 975,000$ | |||||||
Leevi Merilainen | G | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Matthew Highmore | C/RW | 29 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Maxim Groshev | RW | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Ozzy Wiesblatt | RW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Ryan Greene | C | 21 | 950,000$ | 975,000$ | 975,000$ | RFA | |||||
Santeri Hatakka | D | 24 | 975,000$ | 975,000$ | |||||||
Sebastien Aho | D | 29 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Tanner Laczynski | C | 28 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Vasili Ponomarev | C | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Ville Heinola | D | 24 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||
Vladislav Kolyachonok | D | 24 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 5 | 2 | 3 | 1 | 37 | 32 | 23 | 41 | 6 | 10 | 3 | 8 | 24 | 2 | 2 | 100.00% | 4 | 1 | 75.00% | 0 | 31 | 71 | 43.66% | 26 | 58 | 44.83% | 18 | 40 | 45.00% | 76 | 32 | 75 | 43 | 93 | 47 | 66.7% | 10.8% | 80.0% | 90.8 | FUN |
2 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 1 | 2 | 0 | 1 | 5 | 2 | 3 | 1 | 11 | 32 | 23 | 41 | 6 | 2 | 1 | 2 | 20 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 31 | 71 | 43.66% | 26 | 58 | 44.83% | 18 | 40 | 45.00% | 76 | 32 | 75 | 43 | 93 | 47 | 100.0% | 9.1% | 100.0% | 109.1 | LUCKY |
3 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 4 | 2 | 3 | 0.750 | 6 | 8 | 14 | 0 | 0 | 5 | 2 | 3 | 1 | 51 | 32 | 23 | 41 | 6 | 68 | 19 | 45 | 47 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 31 | 71 | 43.66% | 26 | 58 | 44.83% | 18 | 40 | 45.00% | 76 | 32 | 75 | 43 | 93 | 47 | 62.5% | 11.8% | 94.1% | 105.9 | LUCKY |
_Vs Division | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 7 | 3.500 | 1 | 1 | 2 | 0 | 1 | 5 | 2 | 3 | 1 | 11 | 32 | 23 | 41 | 6 | 2 | 1 | 2 | 20 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 31 | 71 | 43.66% | 26 | 58 | 44.83% | 18 | 40 | 45.00% | 76 | 32 | 75 | 43 | 93 | 47 | 100.0% | 9.1% | 100.0% | 109.1 | LUCKY | |
_Vs Conference | 4 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 11 | 6 | 5 | 7 | 0.875 | 11 | 17 | 28 | 0 | 1 | 5 | 2 | 3 | 1 | 99 | 32 | 23 | 41 | 6 | 80 | 23 | 55 | 91 | 11 | 3 | 27.27% | 10 | 2 | 80.00% | 0 | 31 | 71 | 43.66% | 26 | 58 | 44.83% | 18 | 40 | 45.00% | 76 | 32 | 75 | 43 | 93 | 47 | 66.7% | 11.1% | 92.5% | 103.6 | LUCKY | |
_Since Last GM Reset | 4 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 11 | 6 | 5 | 7 | 0.875 | 11 | 17 | 28 | 0 | 1 | 5 | 2 | 3 | 1 | 99 | 32 | 23 | 41 | 6 | 80 | 23 | 55 | 91 | 11 | 3 | 27.27% | 10 | 2 | 80.00% | 0 | 31 | 71 | 43.66% | 26 | 58 | 44.83% | 18 | 40 | 45.00% | 76 | 32 | 75 | 43 | 93 | 47 | 66.7% | 11.1% | 92.5% | 103.6 | LUCKY | |
Total | 4 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 11 | 6 | 5 | 7 | 0.875 | 11 | 17 | 28 | 0 | 1 | 5 | 2 | 3 | 1 | 99 | 32 | 23 | 41 | 6 | 80 | 23 | 55 | 91 | 11 | 3 | 27.27% | 10 | 2 | 80.00% | 0 | 31 | 71 | 43.66% | 26 | 58 | 44.83% | 18 | 40 | 45.00% | 76 | 32 | 75 | 43 | 93 | 47 | 66.7% | 11.1% | 92.5% | 103.6 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 19 |
Neutral Zone | 23 |
Defensive Zone | 18 |
Puck Time | |
---|---|
Offensive Zone Start | 71 |
Neutral Zone Start | 40 |
Defensive Zone Start | 58 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 75 |
Faceoffs Lost | 94 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.0 | 9.57 |
2nd Period | 13.8 | 20.31 |
3rd Period | 24.0 | 30.68 |
Overtime | 25.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 8 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 3 |
Lost | 0 | 0 |
Overtime Lost | 1 | 0 |
PP Attempt | 11 |
---|---|
PP Goal | 3 |
PK Attempt | 10 |
PK Goal Against | 2 |
Home | |
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Shots For | 24.8 |
Shots Against | 20.0 |
Goals For | 2.8 |
Goals Against | 1.5 |
Hits | 22.8 |
Shots Blocked | 5.8 |
Pim | 13.8 |
Date | Matchup | Result | Detail | |||||||||||
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Thu, Oct 9 | ![]() | @ | ![]() | BUF4,MTL2 | RECAP | |||||||||
Sat, Oct 11 | ![]() | @ | ![]() | TOR2,BUF1 (SO) | RECAP | |||||||||
Mon, Oct 13 | ![]() | @ | ![]() | BUF1,NJD0 (OT) | RECAP | |||||||||
Wed, Oct 15 | ![]() | @ | ![]() | BUF5,TOR2 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Thu, Mar 12 | ![]() | @ | ![]() | |||||||||||
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Tue, Mar 24 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,122,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Rochester | |
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 |
40 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,122,500$ | 3,122,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
169,734$ | 0$ | 146,063$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 21,435$ | 3,451,035$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
3,451,035$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
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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