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Full Scoreboard »» |
![]() | Cleveland Monsters 2-0-2, 6pts · 7th 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/RW | 100.00 | 67 | 42 | 74 | 68 | 70 | 76 | 76 | 66 | 45 | 64 | 62 | 67 | 65 | 86 | 66 | 1 | 50 | 66 | 33 | 2,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 62 | 42 | 74 | 68 | 62 | 72 | 73 | 66 | 66 | 65 | 60 | 68 | 64 | 85 | 69 | 1 | 50 | 65 | 35 | 2,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 63 | 41 | 77 | 73 | 71 | 74 | 64 | 66 | 60 | 63 | 62 | 66 | 67 | 52 | 50 | 1 | 50 | 64 | 24 | 870,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 45 | 71 | 71 | 67 | 75 | 71 | 67 | 53 | 63 | 60 | 63 | 66 | 70 | 54 | 1 | 50 | 64 | 26 | 1,250,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 57 | 40 | 77 | 75 | 56 | 72 | 69 | 67 | 44 | 65 | 61 | 67 | 68 | 64 | 52 | 1 | 50 | 64 | 27 | 1,200,000$/3yrs | |||
![]() | 0 | C | 100.00 | 66 | 40 | 74 | 69 | 75 | 75 | 64 | 64 | 61 | 61 | 62 | 63 | 65 | 55 | 50 | 1 | 50 | 63 | 20 | 816,667$/2yrs | |||
![]() | 0 | LW | 100.00 | 59 | 41 | 72 | 66 | 61 | 66 | 64 | 61 | 59 | 56 | 56 | 58 | 61 | 53 | 50 | 1 | 50 | 59 | 25 | 1,250,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 58 | 48 | 62 | 66 | 60 | 66 | 64 | 61 | 59 | 56 | 55 | 57 | 61 | 53 | 50 | 1 | 50 | 58 | 25 | 1,250,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 42 | 70 | 64 | 64 | 63 | 61 | 60 | 42 | 53 | 55 | 54 | 59 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 44 | 75 | 64 | 78 | 78 | 76 | 65 | 40 | 61 | 56 | 72 | 61 | 80 | 61 | 1 | 50 | 67 | 32 | 3,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 70 | 56 | 66 | 63 | 79 | 75 | 75 | 62 | 40 | 58 | 56 | 70 | 60 | 87 | 69 | 1 | 50 | 66 | 33 | 3,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 62 | 43 | 74 | 69 | 66 | 75 | 77 | 64 | 40 | 61 | 57 | 70 | 63 | 87 | 70 | 1 | 50 | 66 | 35 | 3,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 56 | 40 | 79 | 75 | 75 | 83 | 67 | 66 | 40 | 62 | 61 | 70 | 67 | 59 | 50 | 1 | 50 | 66 | 25 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 42 | 72 | 64 | 69 | 73 | 72 | 62 | 40 | 58 | 55 | 67 | 60 | 80 | 65 | 1 | 50 | 64 | 33 | 1,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 65 | 48 | 69 | 68 | 71 | 72 | 68 | 62 | 40 | 57 | 56 | 70 | 62 | 69 | 53 | 1 | 50 | 64 | 29 | 1,400,000$/3yrs | |||
![]() | 0 | D | 100.00 | 58 | 41 | 72 | 72 | 60 | 68 | 65 | 63 | 40 | 63 | 56 | 68 | 64 | 60 | 50 | 1 | 50 | 63 | 26 | 1,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 55 | 43 | 70 | 71 | 58 | 70 | 68 | 67 | 40 | 65 | 56 | 69 | 64 | 57 | 50 | 1 | 50 | 63 | 28 | 1,400,000$/4yrs | |||
![]() | 0 | D | 100.00 | 62 | 42 | 71 | 66 | 64 | 64 | 63 | 61 | 40 | 57 | 54 | 66 | 60 | 52 | 50 | 1 | 50 | 61 | 24 | 1,350,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 54 | 42 | 72 | 67 | 57 | 71 | 69 | 65 | 45 | 65 | 59 | 57 | 64 | 59 | 50 | 1 | 50 | 61 | 29 | 1,200,000$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 45 | 66 | 65 | 63 | 70 | 69 | 63 | 61 | 59 | 58 | 59 | 62 | 59 | 54 | 1 | 50 | 60 | 29 | 1,600,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 66 | 42 | 71 | 65 | 66 | 64 | 63 | 61 | 42 | 54 | 56 | 63 | 61 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 64 | 41 | 73 | 64 | 66 | 64 | 63 | 62 | 42 | 59 | 57 | 59 | 61 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 61 | 55 | 57 | 63 | 65 | 65 | 63 | 62 | 42 | 53 | 57 | 55 | 61 | 52 | 50 | 1 | 50 | 58 | 24 | 1,400,000$/4yrs | |||
![]() | 0 | C | 100.00 | 59 | 40 | 70 | 65 | 62 | 60 | 58 | 58 | 42 | 55 | 54 | 55 | 59 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/2yrs | |||
![]() | 0 | C | 100.00 | 61 | 42 | 64 | 62 | 62 | 61 | 60 | 58 | 41 | 55 | 55 | 58 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 62 | 41 | 67 | 62 | 62 | 60 | 58 | 58 | 41 | 55 | 55 | 59 | 58 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 62 | 41 | 71 | 65 | 65 | 62 | 59 | 56 | 40 | 52 | 51 | 58 | 57 | 51 | 50 | 1 | 50 | 57 | 23 | 1,250,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 58 | 40 | 66 | 61 | 60 | 58 | 56 | 54 | 40 | 53 | 53 | 54 | 56 | 50 | 50 | 1 | 50 | 55 | 21 | 975,000$/3yrs | |||
![]() | 0 | C | 100.00 | 59 | 40 | 66 | 60 | 61 | 60 | 58 | 54 | 47 | 54 | 53 | 55 | 55 | 51 | 50 | 1 | 50 | 55 | 24 | 975,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 40 | 71 | 65 | 60 | 62 | 59 | 55 | 40 | 51 | 51 | 54 | 57 | 53 | 50 | 1 | 50 | 55 | 25 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 41 | 66 | 69 | 60 | 58 | 57 | 64 | 40 | 62 | 64 | 64 | 66 | 50 | 50 | 1 | 50 | 61 | 20 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 41 | 69 | 67 | 60 | 63 | 62 | 62 | 40 | 61 | 59 | 64 | 63 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 48 | 58 | 62 | 62 | 61 | 60 | 60 | 40 | 55 | 55 | 59 | 59 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 69 | 71 | 72 | 67 | 69 | 69 | 71 | 67 | 69 | 70 | 69 | 68 | 61 | 1 | 50 | 64 | 33 | 2,200,000$/4yrs |
![]() | 0 | 100.00 | 68 | 61 | 64 | 70 | 68 | 68 | 71 | 67 | 69 | 67 | 59 | 50 | 50 | 1 | 50 | 62 | 22 | 1,200,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 63 | 62 | 62 | 54 | 60 | 61 | 63 | 60 | 62 | 61 | 59 | 70 | 60 | 1 | 50 | 57 | 35 | 1,250,000$/4yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Travis Green | 86 | 84 | 84 | 84 | 78 | 73 | 1 | CAN | 54 | 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 | Jack Studnicka | ![]() | C/RW | 4 | 4 | 4 | 8 | 3 | 0 | 0 | 10 | 18 | 5 | 20 | 22.22% | 1 | 23.07 | 0 | 3 | 3 | 0 | 0 | 0 | 2 | 1 | 0 | 47.37% | 0 | 0 | 2.00 | 0 | 1 | 2.19 | |||
2 | Tyler Pitlick | ![]() | C/RW | 4 | 3 | 3 | 6 | 0 | 4 | 0 | 3 | 12 | 2 | 5 | 25.00% | 4 | 20.68 | 3 | 0 | 3 | 0 | 0 | 0 | 5 | 0 | 0 | 50.00% | 0 | 0 | 1.50 | 0 | 1 | 1.19 | |||
3 | Jarred Tinordi | ![]() | D | 4 | 1 | 1 | 2 | 1 | 6 | 0 | 1 | 9 | 6 | 5 | 11.11% | 1 | 23.93 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 1 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.39 | |||
4 | Max Sasson | ![]() | C | 4 | 1 | 1 | 2 | 1 | 2 | 0 | 2 | 5 | 2 | 5 | 20.00% | 2 | 18.09 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 42.86% | 0 | 0 | 0.50 | 1 | 1 | 0.48 | |||
5 | Fraser Minten | ![]() | C | 4 | 0 | 2 | 2 | 0 | 2 | 0 | 7 | 13 | 0 | 5 | 0.00% | 1 | 19.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.87% | 0 | 0 | 0.50 | 0 | 0 | 0.56 | |||
6 | Jaycob Megna | ![]() | D | 4 | 0 | 2 | 2 | 1 | 0 | 0 | 8 | 3 | 1 | 1 | 0.00% | 1 | 23.72 | 0 | 1 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.52 | |||
7 | Chad Ruhwedel | ![]() | D | 4 | 0 | 2 | 2 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 0.00% | 1 | 19.19 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.43 | |||
8 | Spencer Stastney | ![]() | D | 4 | 0 | 2 | 2 | 1 | 0 | 0 | 1 | 6 | 0 | 3 | 0.00% | 3 | 18.68 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.54 | |||
9 | Kevin Gravel | ![]() | D | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 1 | 2 | 0 | 0.00% | 1 | 15.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.23 | |||
10 | Matvey Petrov | ![]() | LW | 4 | 1 | 0 | 1 | 0 | 2 | 0 | 5 | 3 | 0 | 2 | 33.33% | 1 | 17.29 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.19 | |||
11 | Matthew Phillips | ![]() | RW | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 4 | 7 | 1 | 0 | 0.00% | 1 | 16.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.25 | 0 | 1 | 0.41 | |||
12 | Gabriel Fortier | ![]() | LW | 4 | 0 | 1 | 1 | 2 | 4 | 0 | 4 | 8 | 4 | 1 | 0.00% | 2 | 23.31 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 0 | 0 | 0.25 | 0 | 0 | 0.37 | |||
13 | Jonathan Gruden | ![]() | C/LW | 4 | 1 | 0 | 1 | -1 | 0 | 0 | 7 | 3 | 0 | 4 | 33.33% | 0 | 18.90 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.21 | |||
14 | Jayson Megna | ![]() | C | 4 | 0 | 0 | 0 | -1 | 5 | 5 | 5 | 4 | 2 | 10 | 0.00% | 0 | 17.56 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 54.29% | 0 | 0 | 0.00 | 0 | 1 | -0.14 | |||
15 | William Lagesson | ![]() | D | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 1 | 11.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.23 | |||
16 | Ian Mitchell | ![]() | D | 4 | 0 | 0 | 0 | -1 | 2 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 8.30 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.14 | |||
17 | Jack Ahcan | ![]() | D | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 0 | 8.30 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | |||
18 | Mikko Kokkonen | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
Team Total or Average | 72 | 11 | 20 | 31 | 9 | 27 | 5 | 65 | 96 | 25 | 63 | 11.46% | 21 | 16.87 | 3 | 5 | 8 | 62 | 0 | 0 | 0 | 56 | 1 | 1 | 53.89% | 180 | 22 | 13 | 0 | 0 | 0.51 | 1 | 5 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Louis Domingue | ![]() | 4 | 2 | 0 | 2 | 0.864 | 2.65 | 249 | 0 | 0 | 11 | 81 | 41 | 0 | 0 | 1.000 | 5 | 4 | 0 | 0 | 0 | 0 |
Team Total or Average | 4 | 2 | 0 | 2 | 0.864 | 2.65 | 249 | 0 | 0 | 11 | 81 | 41 | 0 | 0 | 1.000 | 5 | 4 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Beaucage | RW | 23 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
Blake McLaughlin | C/LW/RW | 25 | 950,000$ | 975,000$ | |||||||
Bogdan Trineyev | RW | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Bryce McConnell-Barker | C | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Chad Ruhwedel | D | 35 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Clark Bishop | C | 29 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||
Fraser Minten | C | 20 | 816,667$ | 975,000$ | 975,000$ | RFA | |||||
Gabriel Fortier | LW | 25 | 1,250,000$ | 1,250,000$ | |||||||
Ian Mitchell | D | 26 | 1,500,000$ | 1,500,000$ | |||||||
Jack Ahcan | D | 28 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||
Jack Studnicka | C/RW | 26 | 1,250,000$ | 1,250,000$ | |||||||
Jarred Tinordi | D | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Jaycob Megna | D | 32 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Jayson Megna | C | 35 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Jesper Wallstedt | G | 22 | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | |||||
Joe Snively | C | 29 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Jonathan Gruden | C/LW | 25 | 1,250,000$ | 1,250,000$ | |||||||
Jorian Donovan | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Josh Filmon | LW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Kevin Gravel | D | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Louis Domingue | G | 33 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||
Luca Cagnoni | D | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Matthew Phillips | RW | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Matvey Petrov | LW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Max Sasson | C | 24 | 870,000$ | 975,000$ | 975,000$ | ||||||
Mikko Kokkonen | D | 24 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | |||||
Nathan Légaré | RW | 24 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||
Owen Lindmark | C | 24 | 975,000$ | 975,000$ | |||||||
Ryan McAllister | C | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Ryan Ufko | D | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Ryder Rolston | RW | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Simon Robertsson | RW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Spencer Stastney | D | 25 | 950,000$ | 975,000$ | |||||||
Troy Grosenick | G | 35 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
Tyler Pitlick | C/RW | 33 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
William Lagesson | D | 29 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 7 | 1 | 21 | 18 | 35 | 41 | 7 | 13 | 2 | 4 | 18 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 35 | 60 | 58.33% | 30 | 60 | 50.00% | 32 | 51 | 62.75% | 78 | 34 | 71 | 43 | 99 | 49 | 0.0% | 4.8% | 84.6% | 89.4 | Unlucky |
2 | ![]() | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 0 | 4 | 7 | 1 | 55 | 18 | 35 | 41 | 7 | 44 | 17 | 18 | 24 | 6 | 2 | 33.33% | 9 | 4 | 55.56% | 0 | 35 | 60 | 58.33% | 30 | 60 | 50.00% | 32 | 51 | 62.75% | 78 | 34 | 71 | 43 | 99 | 49 | 62.5% | 12.7% | 84.1% | 96.8 | FUN |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 4 | 7 | 1 | 20 | 18 | 35 | 41 | 7 | 24 | 2 | 5 | 23 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 35 | 60 | 58.33% | 30 | 60 | 50.00% | 32 | 51 | 62.75% | 78 | 34 | 71 | 43 | 99 | 49 | 66.7% | 20.0% | 91.7% | 111.7 | LUCKY |
_Vs Division | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 2 | -1 | 4 | 2.000 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 7 | 1 | 21 | 18 | 35 | 41 | 7 | 13 | 2 | 4 | 18 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 35 | 60 | 58.33% | 30 | 60 | 50.00% | 32 | 51 | 62.75% | 78 | 34 | 71 | 43 | 99 | 49 | 0.0% | 4.8% | 84.6% | 89.4 | Unlucky | |
_Vs Conference | 3 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 8 | 9 | -1 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 0 | 4 | 7 | 1 | 76 | 18 | 35 | 41 | 7 | 57 | 19 | 22 | 42 | 7 | 3 | 42.86% | 11 | 4 | 63.64% | 0 | 35 | 60 | 58.33% | 30 | 60 | 50.00% | 32 | 51 | 62.75% | 78 | 34 | 71 | 43 | 99 | 49 | 50.0% | 10.5% | 84.2% | 94.7 | FUN | |
_Since Last GM Reset | 4 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 12 | 11 | 1 | 6 | 0.750 | 12 | 20 | 32 | 0 | 0 | 0 | 4 | 7 | 1 | 96 | 18 | 35 | 41 | 7 | 81 | 21 | 27 | 65 | 9 | 3 | 33.33% | 11 | 4 | 63.64% | 0 | 35 | 60 | 58.33% | 30 | 60 | 50.00% | 32 | 51 | 62.75% | 78 | 34 | 71 | 43 | 99 | 49 | 56.3% | 12.5% | 86.4% | 98.9 | FUN | |
Total | 4 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 12 | 11 | 1 | 6 | 0.750 | 12 | 20 | 32 | 0 | 0 | 0 | 4 | 7 | 1 | 96 | 18 | 35 | 41 | 7 | 81 | 21 | 27 | 65 | 9 | 3 | 33.33% | 11 | 4 | 63.64% | 0 | 35 | 60 | 58.33% | 30 | 60 | 50.00% | 32 | 51 | 62.75% | 78 | 34 | 71 | 43 | 99 | 49 | 56.3% | 12.5% | 86.4% | 98.9 | FUN |
Puck Time | |
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Offensive Zone | 19 |
Neutral Zone | 24 |
Defensive Zone | 17 |
Puck Time | |
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Offensive Zone Start | 60 |
Neutral Zone Start | 51 |
Defensive Zone Start | 60 |
Puck Time | |
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With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 97 |
Faceoffs Lost | 74 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 4.5 | 9.57 |
2nd Period | 13.3 | 20.31 |
3rd Period | 23.5 | 30.68 |
Overtime | 25.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 9 |
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PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 1 | 1 |
Lost | 0 | 0 |
Overtime Lost | 1 | 1 |
PP Attempt | 9 |
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PP Goal | 3 |
PK Attempt | 11 |
PK Goal Against | 4 |
Home | |
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Shots For | 24.0 |
Shots Against | 20.3 |
Goals For | 3.0 |
Goals Against | 2.8 |
Hits | 16.3 |
Shots Blocked | 5.3 |
Pim | 6.8 |
Date | Matchup | Result | Detail | |||||||||||
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Wed, Oct 8 | ![]() | @ | ![]() | S J2,CLB4 | RECAP | |||||||||
Thu, Oct 9 | ![]() | @ | ![]() | CLB1,NJD2 (OT) | RECAP | |||||||||
Sun, Oct 12 | ![]() | @ | ![]() | OTT4,CLB3 (OT) | RECAP | |||||||||
Tue, Oct 14 | ![]() | @ | ![]() | CLB4,OTT3 (SO) | 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 |
5,132,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Cleveland | |
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 |
5,132,500$ | 5,132,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
266,624$ | 0$ | 242,960$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 33,328$ | 5,365,808$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
5,365,808$ | 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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