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Full Scoreboard »» |
Rockford IceHogs Team Overall:66 1-1-0, 2pts · 4th in Conférence EST |
Player | # | POS | CON | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 28 | 58 | 34 | 92 | 70 | 71 | 86 | 83 | 69 | 84 | 76 | 65 | 82 | 67 | 69 | 71 | 0 | 40 | 73 | 100.00 | 666,666$/1yrs | ||
![]() | 0 | C/LW/RW | 97.00 | 27 | 90 | 39 | 88 | 65 | 76 | 83 | 85 | 64 | 63 | 65 | 66 | 83 | 62 | 69 | 68 | 0 | 40 | 73 | 97.00 | 1,000,000$/1yrs | ||
![]() | 0 | C/RW | 99.00 | 26 | 66 | 45 | 89 | 68 | 79 | 85 | 90 | 67 | 64 | 69 | 67 | 71 | 65 | 67 | 69 | 0 | 40 | 72 | 99.00 | 758,333$/1yrs | ||
![]() | 0 | C/LW | 100.00 | 27 | 56 | 72 | 63 | 76 | 69 | 83 | 85 | 75 | 79 | 74 | 67 | 62 | 74 | 73 | 69 | 0 | 40 | 72 | 100.00 | 3,150,000$/1yrs | ||
![]() | 0 | C | 100.00 | 24 | 64 | 35 | 86 | 72 | 71 | 82 | 87 | 66 | 76 | 67 | 65 | 79 | 72 | 66 | 73 | 0 | 40 | 72 | 100.00 | 1,673,333$/1yrs | ||
![]() | 0 | C/RW | 100.00 | 24 | 86 | 37 | 94 | 66 | 83 | 81 | 86 | 63 | 65 | 64 | 62 | 71 | 62 | 67 | 65 | 0 | 40 | 71 | 100.00 | 1,075,833$/1yrs | ||
![]() | 0 | LW | 100.00 | 26 | 74 | 36 | 93 | 65 | 81 | 82 | 86 | 63 | 59 | 66 | 64 | 73 | 63 | 67 | 69 | 0 | 40 | 71 | 100.00 | 874,125$/1yrs | ||
![]() | 0 | RW | 100.00 | 30 | 87 | 76 | 82 | 61 | 99 | 76 | 85 | 60 | 59 | 61 | 58 | 63 | 59 | 71 | 73 | 0 | 40 | 70 | 100.00 | 750,000$/2yrs | ||
![]() | 0 | LW | 100.00 | 32 | 90 | 85 | 74 | 61 | 87 | 78 | 90 | 62 | 58 | 61 | 63 | 57 | 56 | 83 | 73 | 0 | 40 | 70 | 100.00 | 1,500,000$/2yrs | ||
![]() | 0 | C/LW | 100.00 | 37 | 72 | 39 | 86 | 62 | 78 | 77 | 81 | 58 | 83 | 61 | 59 | 80 | 56 | 85 | 79 | 0 | 40 | 70 | 100.00 | 1,000,000$/1yrs | ||
![]() | 0 | C | 100.00 | 31 | 70 | 39 | 87 | 60 | 78 | 87 | 77 | 63 | 78 | 61 | 62 | 68 | 64 | 71 | 76 | 0 | 40 | 69 | 100.00 | 725,000$/3yrs | ||
![]() | 0 | RW | 100.00 | 23 | 64 | 33 | 80 | 65 | 73 | 78 | 82 | 64 | 60 | 66 | 63 | 61 | 64 | 66 | 67 | 0 | 40 | 69 | 100.00 | 1,125,000$/1yrs | ||
![]() | 0 | D | 99.00 | 21 | 87 | 74 | 83 | 59 | 98 | 82 | 87 | 58 | 30 | 70 | 59 | 69 | 51 | 62 | 64 | 0 | 40 | 70 | 99.00 | 902,500$/3yrs | ||
![]() | 0 | D | 100.00 | 27 | 63 | 36 | 89 | 73 | 67 | 88 | 77 | 68 | 30 | 71 | 59 | 62 | 52 | 70 | 68 | 0 | 40 | 70 | 100.00 | 2,325,000$/1yrs | ||
![]() | 0 | D | 100.00 | 20 | 67 | 38 | 91 | 68 | 79 | 83 | 75 | 67 | 30 | 66 | 64 | 61 | 53 | 61 | 63 | 0 | 40 | 70 | 100.00 | 1,158,333$/3yrs | ||
![]() | 0 | D | 100.00 | 22 | 59 | 32 | 76 | 71 | 67 | 86 | 87 | 68 | 30 | 73 | 59 | 60 | 51 | 63 | 65 | 0 | 40 | 69 | 100.00 | 1,313,333$/1yrs | ||
![]() | 0 | D | 100.00 | 30 | 88 | 83 | 77 | 58 | 99 | 87 | 71 | 57 | 30 | 60 | 56 | 79 | 45 | 70 | 71 | 0 | 40 | 69 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | D | 100.00 | 27 | 72 | 45 | 74 | 59 | 83 | 76 | 84 | 57 | 30 | 66 | 58 | 62 | 53 | 68 | 70 | 0 | 40 | 68 | 100.00 | 850,000$/2yrs | ||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 30 | 78 | 37 | 73 | 64 | 79 | 83 | 88 | 63 | 75 | 61 | 62 | 59 | 63 | 71 | 73 | 0 | 40 | 69 | 100.00 | 750,000$/2yrs | ||
![]() | 0 | LW | 100.00 | 23 | 78 | 39 | 86 | 64 | 83 | 77 | 85 | 61 | 64 | 62 | 61 | 65 | 63 | 64 | 65 | 0 | 40 | 69 | 100.00 | 894,166$/1yrs | ||
![]() | 0 | LW | 100.00 | 23 | 80 | 31 | 72 | 61 | 92 | 79 | 84 | 62 | 56 | 64 | 61 | 60 | 65 | 63 | 66 | 0 | 40 | 69 | 100.00 | 863,333$/1yrs | ||
![]() | 0 | LW | 100.00 | 26 | 75 | 34 | 84 | 67 | 71 | 76 | 82 | 66 | 57 | 63 | 61 | 58 | 67 | 65 | 68 | 0 | 40 | 69 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | C | 100.00 | 25 | 84 | 53 | 72 | 58 | 85 | 77 | 83 | 59 | 73 | 60 | 61 | 57 | 59 | 66 | 67 | 0 | 40 | 68 | 100.00 | 750,000$/3yrs | ||
![]() | 0 | RW | 100.00 | 23 | 67 | 38 | 93 | 59 | 76 | 73 | 80 | 58 | 52 | 55 | 57 | 54 | 59 | 63 | 65 | 0 | 40 | 65 | 100.00 | 879,167$/1yrs | ||
![]() | 0 | LW | 100.00 | 25 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 675,000$/1yrs | ||
![]() | 0 | D | 100.00 | 26 | 75 | 43 | 86 | 59 | 88 | 82 | 83 | 55 | 30 | 57 | 56 | 60 | 51 | 67 | 69 | 0 | 40 | 67 | 100.00 | 725,000$/2yrs | ||
![]() | 0 | D | 100.00 | 29 | 73 | 35 | 84 | 56 | 82 | 69 | 80 | 55 | 30 | 60 | 52 | 59 | 46 | 69 | 71 | 0 | 40 | 66 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | D | 100.00 | 22 | 60 | 37 | 85 | 63 | 74 | 78 | 79 | 62 | 30 | 61 | 56 | 59 | 50 | 62 | 64 | 0 | 40 | 66 | 100.00 | 825,000$/2yrs | ||
![]() | 0 | D | 100.00 | 27 | 71 | 40 | 78 | 56 | 80 | 69 | 71 | 55 | 30 | 58 | 53 | 56 | 46 | 68 | 70 | 0 | 40 | 65 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | D | 100.00 | 25 | 55 | 37 | 82 | 59 | 64 | 77 | 88 | 58 | 30 | 62 | 56 | 54 | 48 | 66 | 68 | 0 | 40 | 65 | 100.00 | 700,000$/1yrs | ||
TEAM AVERAGE | 99.83 |
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 | AGE | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 30 | 73 | 77 | 75 | 73 | 73 | 72 | 72 | 84 | 0 | 40 | 66 | 733,333$/2yrs | ||||||||
![]() | 0 | 98.00 | 21 | 74 | 74 | 75 | 74 | 74 | 73 | 62 | 67 | 0 | 40 | 66 | 910,833$/2yrs | ||||||||
Scratches | |||||||||||||||||||||||
![]() | 0 | 100.00 | 21 | 69 | 66 | 67 | 69 | 69 | 68 | 61 | 65 | 0 | 40 | 62 | 828,333$/2yrs | ||||||||
![]() | 0 | 100.00 | 24 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 16 | 925,000$/1yrs | ||||||||
TEAM AVERAGE | 99.50 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bill Peters | 71 | 77 | 76 | 75 | 84 | 78 | 63 | CAN | 56 | 1 | 525,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Frederick Gaudreau | C | 2 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 9 | 0 | 7 | 11.11% | 0 | 19.62 | 0 | 1 | 1 | 10 | 0 | 0 | 0 | 4 | 0 | 0 | 56.86% | 51 | 0 | 0 | 0 | 0 | 1.53 | 0 | 0 | |||
2 | Christian Fischer | C/RW | 2 | 0 | 2 | 2 | 0 | 2 | 0 | 2 | 5 | 0 | 10 | 0.00% | 0 | 14.09 | 0 | 2 | 2 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 22 | 0 | 0 | 0 | 0 | 1.42 | 0 | 0 | |||
3 | Eric Robinson | LW | 2 | 1 | 1 | 2 | 1 | 2 | 0 | 2 | 3 | 0 | 2 | 33.33% | 0 | 7.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 2.73 | 0 | 0 | |||
4 | Jarred Tinordi | D | 2 | 0 | 2 | 2 | 1 | 0 | 0 | 5 | 1 | 0 | 0 | 0.00% | 5 | 12.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.59 | 0 | 0 | |||
5 | Kole Lind | RW | 2 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 3 | 0 | 2 | 33.33% | 0 | 6.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 2.98 | 0 | 0 | |||
6 | Mason Appleton | C/RW | 2 | 0 | 2 | 2 | 1 | 0 | 0 | 2 | 8 | 3 | 11 | 0.00% | 0 | 21.39 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 8 | 0 | 0 | 33.33% | 21 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | |||
7 | Max Domi | C/LW | 2 | 1 | 1 | 2 | -1 | 0 | 0 | 1 | 9 | 3 | 4 | 11.11% | 0 | 19.74 | 1 | 1 | 2 | 9 | 0 | 0 | 0 | 0 | 1 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | |||
8 | Tyson Jost | C | 2 | 1 | 1 | 2 | -1 | 0 | 0 | 1 | 9 | 1 | 11 | 11.11% | 0 | 19.44 | 1 | 1 | 2 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 58.82% | 51 | 0 | 0 | 0 | 0 | 1.03 | 0 | 0 | |||
9 | Nate Thompson | C/LW | 2 | 1 | 0 | 1 | 1 | 6 | 0 | 3 | 6 | 0 | 3 | 16.67% | 0 | 12.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | |||
10 | Troy Stecher | D | 2 | 0 | 1 | 1 | -2 | 0 | 0 | 1 | 1 | 0 | 3 | 0.00% | 5 | 24.56 | 0 | 1 | 1 | 10 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |||
11 | Zach Aston-Reese | C/LW/RW | 2 | 1 | 0 | 1 | -1 | 0 | 0 | 13 | 8 | 1 | 6 | 12.50% | 1 | 24.44 | 1 | 0 | 1 | 10 | 0 | 0 | 0 | 8 | 0 | 1 | 80.00% | 5 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |||
12 | Buddy Robinson | RW | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 2 | 0.00% | 0 | 9.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
13 | Byron Froese | C | 2 | 0 | 0 | 0 | 1 | 2 | 0 | 2 | 2 | 0 | 1 | 0.00% | 1 | 8.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 55.00% | 20 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
14 | Dan Renouf | D | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 12.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
15 | Erik Brannstrom | D | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 4 | 3 | 2 | 0.00% | 4 | 23.30 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
16 | Matt Martin | LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 2 | 0.00% | 0 | 9.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
17 | Kevin Bahl | D | 2 | 0 | 0 | 0 | -2 | 2 | 0 | 10 | 0 | 1 | 2 | 0.00% | 1 | 23.95 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
18 | Justin Barron | D | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 4 | 4 | 2 | 1 | 0.00% | 0 | 23.30 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
Team Total or Average | 36 | 7 | 13 | 20 | 5 | 16 | 0 | 54 | 73 | 17 | 69 | 9.59% | 17 | 16.28 | 3 | 6 | 9 | 103 | 0 | 0 | 0 | 54 | 1 | 1 | 53.85% | 182 | 0 | 0 | 0 | 0 | 0.68 | 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 | Joel Hofer | 2 | 1 | 1 | 0 | 0.940 | 2.02 | 119 | 0 | 0 | 4 | 67 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 1 | 0 | |
Team Total or Average | 2 | 1 | 1 | 0 | 0.940 | 2.02 | 119 | 0 | 0 | 4 | 67 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 1 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 0$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 0 |
LTIR Players | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andy Andreoff | C/LW | 30 | 750,000$ | 750,000$ | 750,000$ | ||||||
Boris Katchouk | LW | 23 | 894,166$ | 894,166$ | |||||||
Buddy Robinson | RW | 30 | 750,000$ | 750,000$ | 750,000$ | ||||||
Byron Froese | C | 31 | 725,000$ | 725,000$ | 725,000$ | 725,000$ | |||||
Christian Fischer | C/RW | 24 | 1,075,833$ | 1,075,833$ | |||||||
Dakota Joshua | C | 25 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Dan Renouf | D | 27 | 850,000$ | 850,000$ | 850,000$ | ||||||
Declan Chisholm | D | 22 | 825,000$ | 825,000$ | 825,000$ | ||||||
Eric Robinson | LW | 26 | 874,125$ | 874,125$ | |||||||
Erik Brannstrom | D | 22 | 1,313,333$ | 1,313,333$ | |||||||
Frederick Gaudreau | C | 28 | 666,666$ | 666,666$ | |||||||
Grant Hutton | D | 26 | 725,000$ | 725,000$ | 725,000$ | ||||||
Gustav Olofsson | D | 27 | 700,000$ | 700,000$ | |||||||
Isaac Ratcliffe | LW | 23 | 863,333$ | 863,333$ | |||||||
Jarred Tinordi | D | 30 | 700,000$ | 700,000$ | |||||||
Joe Hicketts | D | 25 | 700,000$ | 700,000$ | |||||||
| 0$ | 0$ | |||||||||
Joel Kiviranta | LW | 26 | 925,000$ | 925,000$ | |||||||
Justin Barron | D | 20 | 1,158,333$ | 1,158,333$ | 1,158,333$ | 1,158,333$ | |||||
Kevin Bahl | D | 21 | 902,500$ | 902,500$ | 902,500$ | 902,500$ | |||||
Kole Lind | RW | 23 | 1,125,000$ | 1,125,000$ | |||||||
| 0$ | 0$ | |||||||||
Maksim Sushko | RW | 23 | 879,167$ | 879,167$ | |||||||
Mason Appleton | C/RW | 26 | 758,333$ | 758,333$ | |||||||
Matt Martin | LW | 32 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Max Domi | C/LW | 27 | 3,150,000$ | 3,150,000$ | |||||||
Nate Thompson | C/LW | 37 | 1,000,000$ | 1,000,000$ | |||||||
| 0$ | 0$ | |||||||||
| 0$ | 0$ | |||||||||
Troy Stecher | D | 27 | 2,325,000$ | 2,325,000$ | |||||||
Tyler Wotherspoon | D | 29 | 700,000$ | 700,000$ | |||||||
Tyson Jost | C | 24 | 1,673,333$ | 1,673,333$ | |||||||
Valentin Zykov | LW | 25 | 675,000$ | 675,000$ | |||||||
Zach Aston-Reese | C/LW/RW | 27 | 1,000,000$ | 1,000,000$ |
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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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 73 | 22 | 27 | 24 | 0 | 67 | 17 | 16 | 54 | 12 | 3 | 25.00% | 8 | 1 | 87.50% | 0 | 46 | 84 | 54.76% | 34 | 66 | 51.52% | 18 | 32 | 56.25% | 54 | 40 | 40 | 13 | 24 | 12 | 57.1% | 9.6% | 94.0% | 103.6 | LUCKY | |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 73 | 22 | 27 | 24 | 0 | 67 | 17 | 16 | 54 | 12 | 3 | 25.00% | 8 | 1 | 87.50% | 0 | 46 | 84 | 54.76% | 34 | 66 | 51.52% | 18 | 32 | 56.25% | 54 | 40 | 40 | 13 | 24 | 12 | 57.1% | 9.6% | 94.0% | 103.6 | LUCKY | |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 73 | 22 | 27 | 24 | 0 | 67 | 17 | 16 | 54 | 12 | 3 | 25.00% | 8 | 1 | 87.50% | 0 | 46 | 84 | 54.76% | 34 | 66 | 51.52% | 18 | 32 | 56.25% | 54 | 40 | 40 | 13 | 24 | 12 | 57.1% | 9.6% | 94.0% | 103.6 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 27 |
Neutral Zone | 12 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 84 |
Neutral Zone Start | 32 |
Defensive Zone Start | 66 |
Puck Time | |
---|---|
With Puck | 33 |
Without Puck | 26 |
Faceoffs | |
---|---|
Faceoffs Won | 98 |
Faceoffs Lost | 84 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 24.5 | 20.31 |
3rd Period | 36.5 | 30.68 |
Overtime | 36.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 12 |
---|---|
PP Goal | 3 |
PK Attempt | 8 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 36.5 |
Shots Against | 33.5 |
Goals For | 3.5 |
Goals Against | 2.0 |
Hits | 27.0 |
Shots Blocked | 8.5 |
Pim | 8.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-03-22 | @ | Griffins3,IceHogs2 | RECAP | ||
2023-03-24 | @ | Griffins1,IceHogs5 | RECAP | ||
2023-03-26 | @ | ||||
2023-03-28 | @ | ||||
2023-03-30 | @ | ||||
2023-04-01 | @ | ||||
2023-04-03 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
33,423,284$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Rockford | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
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 |
-2 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
33,423,284$ | 33,406,616$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 10 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 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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