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Full Scoreboard »» |
![]() | Colorado Eagles 4-0-1, 9pts · 1st in Conference 2 |
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 | 99.00 | 73 | 49 | 68 | 69 | 76 | 76 | 69 | 73 | 46 | 71 | 67 | 67 | 70 | 53 | 50 | 1 | 50 | 67 | 26 | 975,000$/1yrs | |||
![]() | 0 | RW | 98.00 | 81 | 71 | 69 | 69 | 89 | 76 | 77 | 68 | 52 | 62 | 63 | 66 | 66 | 76 | 66 | 1 | 50 | 67 | 28 | 2,000,000$/4yrs | |||
![]() | 0 | C/RW | 98.00 | 69 | 41 | 81 | 73 | 71 | 76 | 71 | 71 | 52 | 70 | 64 | 66 | 69 | 55 | 50 | 1 | 50 | 66 | 24 | 1,500,000$/4yrs | |||
![]() | 0 | C/RW | 98.00 | 73 | 40 | 83 | 71 | 84 | 77 | 72 | 68 | 40 | 63 | 63 | 64 | 67 | 63 | 53 | 1 | 50 | 66 | 27 | 1,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 61 | 41 | 80 | 66 | 68 | 76 | 78 | 67 | 68 | 65 | 62 | 59 | 65 | 83 | 69 | 1 | 50 | 65 | 34 | 1,500,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 68 | 56 | 75 | 69 | 70 | 72 | 76 | 64 | 61 | 57 | 59 | 63 | 64 | 79 | 69 | 1 | 50 | 64 | 34 | 1,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 54 | 41 | 73 | 70 | 58 | 71 | 70 | 65 | 64 | 65 | 61 | 61 | 66 | 65 | 60 | 1 | 50 | 63 | 32 | 1,000,000$/2yrs | |||
![]() | 0 | LW | 98.00 | 56 | 42 | 71 | 66 | 61 | 72 | 71 | 64 | 44 | 62 | 60 | 61 | 63 | 65 | 58 | 1 | 50 | 62 | 32 | 1,250,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 57 | 47 | 62 | 71 | 58 | 67 | 66 | 67 | 46 | 65 | 63 | 60 | 67 | 54 | 50 | 1 | 50 | 62 | 26 | 1,250,000$/4yrs | |||
![]() | 0 | LW | 98.00 | 55 | 45 | 67 | 66 | 58 | 71 | 71 | 60 | 42 | 55 | 54 | 58 | 60 | 65 | 58 | 1 | 50 | 59 | 31 | 1,500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 60 | 49 | 59 | 60 | 66 | 68 | 67 | 58 | 41 | 55 | 53 | 60 | 57 | 70 | 63 | 1 | 50 | 59 | 34 | 1,500,000$/2yrs | |||
![]() | 0 | D | 98.00 | 62 | 40 | 78 | 71 | 90 | 83 | 69 | 67 | 40 | 61 | 61 | 69 | 66 | 63 | 53 | 1 | 50 | 68 | 25 | 1,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 49 | 57 | 65 | 67 | 76 | 76 | 63 | 40 | 59 | 57 | 69 | 62 | 94 | 81 | 1 | 50 | 66 | 41 | 3,187,087$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 40 | 74 | 69 | 75 | 75 | 62 | 65 | 40 | 62 | 61 | 64 | 65 | 51 | 50 | 1 | 50 | 63 | 21 | 838,333$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 51 | 65 | 67 | 74 | 68 | 62 | 62 | 40 | 58 | 56 | 68 | 62 | 52 | 50 | 1 | 50 | 63 | 24 | 1,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 65 | 56 | 56 | 67 | 65 | 65 | 64 | 64 | 40 | 61 | 55 | 68 | 62 | 52 | 50 | 1 | 50 | 62 | 24 | 1,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 60 | 57 | 57 | 69 | 64 | 66 | 64 | 63 | 40 | 57 | 57 | 65 | 63 | 52 | 50 | 1 | 50 | 61 | 24 | 1,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 65 | 42 | 70 | 61 | 69 | 65 | 62 | 58 | 40 | 53 | 53 | 66 | 58 | 55 | 50 | 1 | 50 | 60 | 27 | 1,250,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 55 | 41 | 69 | 65 | 57 | 63 | 62 | 63 | 57 | 62 | 60 | 54 | 62 | 50 | 50 | 1 | 50 | 59 | 22 | 825,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 51 | 58 | 58 | 70 | 69 | 68 | 58 | 41 | 53 | 52 | 58 | 56 | 68 | 59 | 1 | 50 | 58 | 33 | 1,500,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 61 | 40 | 66 | 60 | 62 | 55 | 53 | 56 | 40 | 54 | 54 | 55 | 57 | 50 | 50 | 1 | 50 | 55 | 20 | 862,500$/2yrs | |||
![]() | 0 | LW | 100.00 | 54 | 40 | 71 | 66 | 56 | 59 | 56 | 56 | 40 | 52 | 52 | 52 | 58 | 50 | 50 | 1 | 50 | 55 | 22 | 975,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 40 | 69 | 65 | 62 | 59 | 56 | 55 | 40 | 52 | 52 | 61 | 57 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 42 | 62 | 62 | 62 | 59 | 57 | 58 | 40 | 54 | 56 | 59 | 58 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 42 | 71 | 62 | 65 | 65 | 64 | 61 | 40 | 56 | 55 | 55 | 60 | 52 | 50 | 1 | 50 | 58 | 24 | 1,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 53 | 41 | 64 | 60 | 58 | 59 | 57 | 55 | 40 | 52 | 52 | 56 | 55 | 52 | 50 | 1 | 50 | 55 | 25 | 975,000$/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 | 100.00 | 77 | 72 | 71 | 89 | 76 | 73 | 70 | 71 | 73 | 75 | 71 | 55 | 51 | 1 | 50 | 68 | 28 | 975,000$/2yrs |
![]() | 0 | 100.00 | 72 | 72 | 73 | 67 | 70 | 69 | 71 | 68 | 70 | 72 | 69 | 66 | 59 | 1 | 50 | 64 | 31 | 2,000,000$/4yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 63 | 53 | 53 | 52 | 57 | 58 | 62 | 58 | 60 | 58 | 49 | 50 | 50 | 1 | 50 | 53 | 22 | 975,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeff Blashill | 73 | 76 | 80 | 77 | 60 | 55 | 1 | USA | 51 | 1 | 1,000,000$ |
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 | Gage Goncalves | ![]() | C/RW | 5 | 3 | 6 | 9 | 4 | 0 | 0 | 3 | 16 | 1 | 13 | 18.75% | 1 | 23.24 | 1 | 2 | 3 | 0 | 1 | 1 | 13 | 1 | 0 | 57.41% | 0 | 0 | 1.80 | 0 | 0 | 1.84 | |||
2 | Ryan Carpenter | ![]() | C | 5 | 3 | 4 | 7 | 5 | 0 | 0 | 3 | 13 | 3 | 9 | 23.08% | 1 | 16.90 | 0 | 2 | 2 | 0 | 0 | 0 | 6 | 0 | 0 | 50.00% | 0 | 0 | 1.40 | 0 | 0 | 1.56 | |||
3 | Mike Vecchione | ![]() | LW | 5 | 3 | 3 | 6 | 1 | 2 | 0 | 9 | 14 | 4 | 3 | 21.43% | 3 | 22.91 | 2 | 1 | 3 | 1 | 0 | 1 | 13 | 0 | 1 | 80.00% | 0 | 0 | 1.20 | 0 | 0 | 1.14 | |||
4 | Maxim Tsyplakov | ![]() | RW | 5 | 1 | 3 | 4 | 2 | 7 | 5 | 14 | 11 | 4 | 9 | 9.09% | 1 | 17.82 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 40.00% | 0 | 0 | 0.80 | 0 | 1 | 0.73 | |||
5 | Alex Alexeyev | ![]() | D | 5 | 0 | 3 | 3 | 3 | 0 | 0 | 6 | 5 | 3 | 2 | 0.00% | 3 | 27.31 | 0 | 0 | 0 | 0 | 1 | 1 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.60 | 0 | 0 | 0.73 | |||
6 | Walker Duehr | ![]() | C/RW | 5 | 1 | 2 | 3 | 1 | 0 | 0 | 16 | 7 | 7 | 12 | 14.29% | 1 | 20.60 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 44.12% | 0 | 0 | 0.60 | 0 | 0 | 0.72 | |||
7 | Zack MacEwen | ![]() | RW | 5 | 1 | 1 | 2 | 0 | 2 | 0 | 5 | 11 | 4 | 4 | 9.09% | 0 | 17.04 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.40 | 0 | 1 | 0.39 | |||
8 | Trey Fix-Wolansky | ![]() | RW | 5 | 1 | 1 | 2 | 2 | 0 | 0 | 1 | 5 | 0 | 2 | 20.00% | 1 | 4.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.52 | |||
9 | Chris Wagner | ![]() | C/RW | 5 | 2 | 0 | 2 | 1 | 2 | 0 | 6 | 4 | 4 | 6 | 50.00% | 0 | 12.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 68.42% | 0 | 0 | 0.40 | 0 | 0 | 0.42 | |||
10 | Daniel Walcott | ![]() | LW | 5 | 0 | 1 | 1 | 1 | 4 | 0 | 9 | 3 | 0 | 0 | 0.00% | 1 | 18.63 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 0 | 0 | 83.33% | 0 | 0 | 0.20 | 0 | 0 | 0.11 | |||
11 | Mark Giordano | ![]() | D | 5 | 0 | 1 | 1 | 2 | 13 | 5 | 3 | 0 | 2 | 6 | 0.00% | 2 | 22.14 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | -0.16 | |||
12 | Hunter Skinner | ![]() | D | 5 | 0 | 1 | 1 | 1 | 2 | 0 | 6 | 0 | 0 | 0 | 0.00% | 1 | 13.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.16 | |||
13 | John Ludvig | ![]() | D | 5 | 0 | 1 | 1 | 4 | 6 | 0 | 9 | 4 | 2 | 0 | 0.00% | 4 | 18.77 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.33 | |||
14 | Kyle Clifford | ![]() | LW | 5 | 0 | 0 | 0 | 5 | 2 | 0 | 3 | 7 | 1 | 1 | 0.00% | 0 | 14.41 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 66.67% | 0 | 0 | 0.00 | 0 | 0 | 0.39 | |||
15 | Isaiah George | ![]() | D | 5 | 0 | 0 | 0 | 4 | 0 | 0 | 3 | 3 | 0 | 1 | 0.00% | 4 | 19.89 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.36 | |||
16 | Nikolai Knyzhov | ![]() | D | 5 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 1 | 6.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.07 | |||
17 | Jett Woo | ![]() | D | 5 | 0 | 0 | 0 | 1 | 2 | 0 | 3 | 1 | 0 | 0 | 0.00% | 0 | 14.76 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
18 | Matthew Peca | ![]() | C | 5 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 3 | 1 | 3 | 0.00% | 0 | 7.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.00 | 0 | 0 | 0.15 | |||
Team Total or Average | 90 | 15 | 27 | 42 | 39 | 42 | 10 | 103 | 107 | 36 | 72 | 14.02% | 24 | 16.57 | 4 | 8 | 12 | 39 | 1 | 2 | 3 | 96 | 4 | 1 | 56.19% | 210 | 35 | 26 | 0 | 0 | 0.56 | 0 | 2 |
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 | Ivan Fedotov | ![]() | 5 | 4 | 0 | 1 | 0.907 | 1.57 | 305 | 0 | 1 | 8 | 86 | 44 | 0 | 0 | 0.000 | 2 | 5 | 0 | 0 | 0 | 1 |
Team Total or Average | 5 | 4 | 0 | 1 | 0.907 | 1.57 | 305 | 0 | 1 | 8 | 86 | 44 | 0 | 0 | 0.000 | 2 | 5 | 0 | 0 | 0 | 1 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aleksandr Kisakov | LW | 22 | 975,000$ | 975,000$ | RFA | ||||||
Alex Alexeyev | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Chris Wagner | C/RW | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Collin Delia | G | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
Daniel Walcott | LW | 31 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Gage Goncalves | C/RW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Gleb Trikozov | LW | 20 | 862,500$ | 975,000$ | 975,000$ | RFA | |||||
Hunter Skinner | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Isaiah George | D | 21 | 838,333$ | 975,000$ | 975,000$ | RFA | |||||
Ivan Fedotov | G | 28 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Jett Woo | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Joey Keane | D | 25 | 975,000$ | 975,000$ | |||||||
John Ludvig | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Justin Robidas | C | 22 | 825,000$ | 975,000$ | RFA | ||||||
Kyle Clifford | LW | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Kyle Masters | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Mark Giordano | D | 41 | 3,187,087$ | 3,187,087$ | UFA | ||||||
Matthew Peca | C | 32 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Maxim Tsyplakov | RW | 26 | 975,000$ | 975,000$ | UFA | ||||||
Mike Vecchione | LW | 32 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
Nikolai Knyzhov | D | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
Rodwin Dionicio | D | 21 | 975,000$ | 975,000$ | RFA | ||||||
Ryan Carpenter | C | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Simon Lundmark | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Tomas Suchanek | G | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Trey Fix-Wolansky | RW | 26 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
Vincent Arseneau | LW | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Walker Duehr | C/RW | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Zack MacEwen | RW | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA |
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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 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 6 | 8 | 0 | 27 | 22 | 37 | 48 | 2 | 22 | 3 | 11 | 19 | 3 | 3 | 100.00% | 3 | 0 | 100.00% | 0 | 40 | 78 | 51.28% | 42 | 74 | 56.76% | 36 | 58 | 62.07% | 93 | 39 | 90 | 55 | 121 | 58 | 0.0% | 11.1% | 95.5% | 106.6 | LUCKY |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 1 | 6 | 8 | 0 | 15 | 22 | 37 | 48 | 2 | 9 | 2 | 2 | 19 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 40 | 78 | 51.28% | 42 | 74 | 56.76% | 36 | 58 | 62.07% | 93 | 39 | 90 | 55 | 121 | 58 | 100.0% | 13.3% | 100.0% | 113.3 | LUCKY |
3 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 1 | 6 | 8 | 0 | 48 | 22 | 37 | 48 | 2 | 38 | 9 | 17 | 49 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 1 | 40 | 78 | 51.28% | 42 | 74 | 56.76% | 36 | 58 | 62.07% | 93 | 39 | 90 | 55 | 121 | 58 | 87.5% | 14.6% | 89.5% | 104.1 | FUN |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 6 | 8 | 0 | 17 | 22 | 37 | 48 | 2 | 17 | 10 | 12 | 16 | 2 | 1 | 50.00% | 6 | 2 | 66.67% | 0 | 40 | 78 | 51.28% | 42 | 74 | 56.76% | 36 | 58 | 62.07% | 93 | 39 | 90 | 55 | 121 | 58 | 50.0% | 17.6% | 76.5% | 94.1 | FUN |
_Vs Conference | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 9 | 6 | 9 | 0.900 | 15 | 27 | 42 | 0 | 1 | 1 | 6 | 8 | 0 | 107 | 22 | 37 | 48 | 2 | 86 | 24 | 42 | 103 | 7 | 4 | 57.14% | 16 | 5 | 68.75% | 1 | 40 | 78 | 51.28% | 42 | 74 | 56.76% | 36 | 58 | 62.07% | 93 | 39 | 90 | 55 | 121 | 58 | 73.3% | 14.0% | 89.5% | 103.6 | FUN | |
_Since Last GM Reset | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 9 | 6 | 9 | 0.900 | 15 | 27 | 42 | 0 | 1 | 1 | 6 | 8 | 0 | 107 | 22 | 37 | 48 | 2 | 86 | 24 | 42 | 103 | 7 | 4 | 57.14% | 16 | 5 | 68.75% | 1 | 40 | 78 | 51.28% | 42 | 74 | 56.76% | 36 | 58 | 62.07% | 93 | 39 | 90 | 55 | 121 | 58 | 73.3% | 14.0% | 89.5% | 103.6 | FUN | |
Total | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 9 | 6 | 9 | 0.900 | 15 | 27 | 42 | 0 | 1 | 1 | 6 | 8 | 0 | 107 | 22 | 37 | 48 | 2 | 86 | 24 | 42 | 103 | 7 | 4 | 57.14% | 16 | 5 | 68.75% | 1 | 40 | 78 | 51.28% | 42 | 74 | 56.76% | 36 | 58 | 62.07% | 93 | 39 | 90 | 55 | 121 | 58 | 73.3% | 14.0% | 89.5% | 103.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 18 |
Neutral Zone | 24 |
Defensive Zone | 18 |
Puck Time | |
---|---|
Offensive Zone Start | 78 |
Neutral Zone Start | 58 |
Defensive Zone Start | 74 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 118 |
Faceoffs Lost | 92 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 4.4 | 9.57 |
2nd Period | 11.8 | 20.31 |
3rd Period | 21.4 | 30.68 |
Overtime | 21.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.2 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 10 |
---|---|
PP Goal | 4 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 2 |
Lost | 0 | 0 |
Overtime Lost | 0 | 1 |
PP Attempt | 7 |
---|---|
PP Goal | 4 |
PK Attempt | 16 |
PK Goal Against | 5 |
Home | |
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Shots For | 21.4 |
Shots Against | 17.2 |
Goals For | 3.0 |
Goals Against | 1.8 |
Hits | 20.6 |
Shots Blocked | 4.8 |
Pim | 8.4 |
Date | Matchup | Result | Detail | |||||||||||
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Wed, Oct 8 | ![]() | @ | ![]() | COL2,PHO1 | RECAP | |||||||||
Fri, Oct 10 | ![]() | @ | ![]() | ANA1,COL3 | RECAP | |||||||||
Sun, Oct 12 | ![]() | @ | ![]() | COL5,PHO3 | RECAP | |||||||||
Tue, Oct 14 | ![]() | @ | ![]() | COL3,S J4 (SO) | RECAP | |||||||||
Wed, Oct 15 | ![]() | @ | ![]() | CAL0,COL2 | 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 |
3,818,709$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Colorado | |
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 |
3,818,709$ | 3,818,709$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
226,218$ | 0$ | 178,882$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 28,513$ | 4,590,593$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
4,590,593$ | 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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