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Full Scoreboard »» |
Rockford IceHogs Team Overall:68 21-22-6, 48pts · 9th in Conférence Ouest |
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 | 96.00 | 28 | 86 | 48 | 75 | 66 | 71 | 77 | 82 | 65 | 84 | 62 | 73 | 90 | 64 | 77 | 71 | 0 | 40 | 74 | 96.00 | 3,350,000$/3yrs | ||
![]() | 0 | LW/RW | 98.00 | 23 | 72 | 39 | 88 | 67 | 69 | 77 | 80 | 65 | 58 | 63 | 66 | 64 | 68 | 67 | 65 | 0 | 40 | 70 | 98.00 | 836,111$/3yrs | ||
![]() | 0 | RW | 96.00 | 28 | 72 | 54 | 85 | 61 | 99 | 78 | 73 | 59 | 52 | 60 | 60 | 63 | 58 | 77 | 67 | 0 | 40 | 69 | 96.00 | 700,000$/2yrs | ||
![]() | 0 | C/RW | 96.00 | 21 | 57 | 39 | 89 | 67 | 69 | 77 | 76 | 66 | 58 | 63 | 64 | 65 | 68 | 63 | 64 | 0 | 40 | 69 | 96.00 | 880,000$/3yrs | ||
![]() | 0 | LW/RW | 99.00 | 23 | 71 | 42 | 86 | 66 | 75 | 77 | 81 | 64 | 59 | 63 | 62 | 65 | 64 | 65 | 63 | 0 | 40 | 69 | 99.00 | 910,833$/3yrs | ||
![]() | 0 | C | 100.00 | 22 | 66 | 47 | 89 | 64 | 89 | 80 | 77 | 62 | 59 | 61 | 60 | 63 | 62 | 65 | 63 | 0 | 40 | 68 | 100.00 | 800,000$/3yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 25 | 66 | 45 | 89 | 62 | 77 | 79 | 78 | 61 | 72 | 60 | 60 | 66 | 62 | 69 | 65 | 0 | 40 | 68 | 100.00 | 700,000$/2yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 23 | 67 | 38 | 86 | 66 | 65 | 78 | 80 | 64 | 77 | 65 | 62 | 61 | 66 | 65 | 63 | 0 | 40 | 68 | 100.00 | 750,000$/2yrs | ||
![]() | 0 | C | 100.00 | 28 | 72 | 39 | 88 | 63 | 71 | 65 | 77 | 61 | 74 | 57 | 60 | 59 | 63 | 75 | 68 | 0 | 40 | 67 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | RW | 100.00 | 24 | 69 | 46 | 81 | 60 | 84 | 87 | 89 | 58 | 55 | 57 | 59 | 61 | 58 | 69 | 65 | 0 | 40 | 67 | 100.00 | 737,500$/2yrs | ||
![]() | 0 | RW | 100.00 | 20 | 61 | 45 | 89 | 60 | 78 | 84 | 81 | 62 | 55 | 59 | 58 | 63 | 60 | 61 | 63 | 0 | 40 | 67 | 100.00 | 1,319,167$/3yrs | ||
![]() | 0 | RW | 99.00 | 23 | 71 | 49 | 85 | 57 | 86 | 79 | 80 | 58 | 52 | 54 | 56 | 59 | 58 | 67 | 64 | 0 | 40 | 66 | 99.00 | 740,000$/1yrs | ||
![]() | 0 | D | 100.00 | 22 | 61 | 42 | 89 | 66 | 77 | 83 | 79 | 63 | 30 | 64 | 61 | 65 | 52 | 65 | 63 | 0 | 40 | 69 | 100.00 | 780,000$/3yrs | ||
![]() | 0 | D | 100.00 | 23 | 59 | 42 | 87 | 65 | 72 | 78 | 71 | 63 | 30 | 64 | 62 | 61 | 55 | 67 | 64 | 0 | 40 | 68 | 100.00 | 874,125$/2yrs | ||
![]() | 0 | D | 100.00 | 22 | 64 | 45 | 87 | 63 | 81 | 82 | 79 | 62 | 30 | 60 | 59 | 66 | 52 | 63 | 64 | 0 | 40 | 68 | 100.00 | 894,166$/3yrs | ||
![]() | 0 | D | 99.00 | 23 | 68 | 46 | 89 | 62 | 83 | 85 | 82 | 61 | 30 | 60 | 58 | 63 | 55 | 67 | 64 | 0 | 40 | 68 | 99.00 | 925,000$/3yrs | ||
![]() | 0 | D | 100.00 | 22 | 64 | 45 | 88 | 63 | 80 | 85 | 77 | 61 | 30 | 60 | 58 | 62 | 53 | 65 | 66 | 0 | 40 | 67 | 100.00 | 888,333$/3yrs | ||
![]() | 0 | D | 100.00 | 24 | 68 | 47 | 89 | 60 | 81 | 78 | 72 | 58 | 30 | 59 | 56 | 65 | 50 | 69 | 65 | 0 | 40 | 67 | 100.00 | 1,416,667$/1yrs | ||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 24 | 67 | 47 | 78 | 61 | 75 | 83 | 76 | 59 | 53 | 56 | 60 | 62 | 59 | 69 | 65 | 0 | 40 | 66 | 100.00 | 700,000$/2yrs | ||
![]() | 0 | D | 100.00 | 24 | 57 | 43 | 88 | 60 | 71 | 78 | 75 | 59 | 30 | 58 | 57 | 61 | 53 | 67 | 64 | 0 | 40 | 66 | 100.00 | 925,000$/3yrs | ||
![]() | 0 | D | 100.00 | 28 | 58 | 42 | 82 | 60 | 71 | 78 | 72 | 58 | 30 | 59 | 57 | 56 | 53 | 77 | 67 | 0 | 40 | 66 | 100.00 | 700,000$/3yrs | ||
![]() | 0 | D | 100.00 | 24 | 58 | 45 | 87 | 60 | 69 | 81 | 79 | 58 | 30 | 59 | 57 | 61 | 50 | 69 | 64 | 0 | 40 | 66 | 100.00 | 749,167$/3yrs | ||
![]() | 0 | D | 100.00 | 24 | 62 | 51 | 82 | 60 | 75 | 85 | 84 | 58 | 30 | 57 | 54 | 56 | 47 | 69 | 65 | 0 | 40 | 65 | 100.00 | 850,000$/3yrs | ||
TEAM AVERAGE | 99.26 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | AGE | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 24 | 79 | 61 | 63 | 79 | 79 | 78 | 69 | 73 | 0 | 40 | 69 | 925,000$/3yrs | ||||||||
![]() | 0 | 99.00 | 24 | 73 | 82 | 84 | 73 | 73 | 72 | 67 | 71 | 0 | 40 | 65 | 716,667$/3yrs | ||||||||
Scratches | |||||||||||||||||||||||
![]() | 0 | 100.00 | 24 | 71 | 56 | 58 | 71 | 71 | 70 | 69 | 73 | 0 | 40 | 64 | 925,000$/1yrs | ||||||||
TEAM AVERAGE | 99.67 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bill Peters | 80 | 85 | 75 | 85 | 73 | 83 | 1 | CAN | 58 | 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 | Maxime Lajoie | D | 49 | 7 | 39 | 46 | 12 | 18 | 0 | 81 | 69 | 27 | 54 | 10.14% | 69 | 25.73 | 4 | 5 | 9 | 110 | 0 | 1 | 1 | 100 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |||
2 | Casey Cizikas | C | 39 | 18 | 22 | 40 | 15 | 22 | 0 | 144 | 198 | 57 | 143 | 9.09% | 19 | 19.67 | 2 | 5 | 7 | 55 | 0 | 0 | 0 | 26 | 4 | 2 | 53.47% | 606 | 0 | 0 | 0 | 1 | 1.04 | 0 | 2 | |||
3 | Curtis Lazar | C/LW/RW | 49 | 14 | 23 | 37 | 3 | 10 | 0 | 44 | 113 | 28 | 97 | 12.39% | 11 | 19.84 | 4 | 8 | 12 | 105 | 0 | 0 | 0 | 130 | 0 | 0 | 55.84% | 471 | 0 | 0 | 0 | 1 | 0.76 | 0 | 1 | |||
4 | Jordan Kyrou | C/RW | 48 | 13 | 23 | 36 | -3 | 0 | 0 | 16 | 130 | 41 | 89 | 10.00% | 7 | 16.48 | 1 | 6 | 7 | 94 | 0 | 1 | 1 | 52 | 1 | 2 | 43.83% | 721 | 0 | 0 | 0 | 0 | 0.91 | 1 | 1 | |||
5 | Dmytro Timashov | LW/RW | 49 | 18 | 15 | 33 | -9 | 18 | 0 | 68 | 135 | 38 | 123 | 13.33% | 8 | 18.54 | 2 | 5 | 7 | 93 | 0 | 0 | 0 | 29 | 1 | 3 | 45.26% | 285 | 0 | 0 | 0 | 0 | 0.73 | 1 | 4 | |||
6 | Mathieu Joseph | LW/RW | 44 | 12 | 19 | 31 | -8 | 24 | 0 | 65 | 123 | 40 | 96 | 9.76% | 16 | 19.81 | 1 | 7 | 8 | 95 | 0 | 0 | 0 | 92 | 1 | 1 | 41.67% | 264 | 0 | 0 | 0 | 0 | 0.71 | 1 | 2 | |||
7 | Libor Hajek | D | 49 | 6 | 22 | 28 | -3 | 22 | 0 | 79 | 62 | 22 | 34 | 9.68% | 46 | 22.08 | 2 | 2 | 4 | 76 | 0 | 0 | 0 | 90 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 1 | 0.52 | 0 | 0 | |||
8 | Niko Mikkola | D | 49 | 3 | 22 | 25 | -15 | 45 | 5 | 127 | 49 | 27 | 33 | 6.12% | 86 | 24.89 | 2 | 4 | 6 | 65 | 0 | 0 | 0 | 82 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |||
9 | Brendan Guhle | D | 44 | 3 | 17 | 20 | 17 | 24 | 0 | 76 | 46 | 10 | 27 | 6.52% | 59 | 20.98 | 1 | 4 | 5 | 91 | 0 | 0 | 0 | 81 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |||
10 | Sebastian Repo | RW | 47 | 7 | 13 | 20 | -3 | 12 | 0 | 62 | 81 | 26 | 59 | 8.64% | 6 | 16.91 | 2 | 5 | 7 | 99 | 0 | 0 | 0 | 2 | 1 | 0 | 48.98% | 49 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |||
11 | Gustav Forsling | D | 49 | 3 | 15 | 18 | -24 | 18 | 0 | 75 | 66 | 13 | 34 | 4.55% | 65 | 23.36 | 1 | 3 | 4 | 102 | 0 | 0 | 0 | 77 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |||
12 | Alexander True | C | 49 | 9 | 7 | 16 | 5 | 7 | 5 | 28 | 83 | 22 | 44 | 10.84% | 9 | 12.17 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 36 | 2 | 1 | 47.59% | 664 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |||
13 | Hudson Fasching | RW | 49 | 6 | 10 | 16 | 4 | 25 | 5 | 60 | 59 | 17 | 45 | 10.17% | 6 | 11.86 | 3 | 1 | 4 | 35 | 0 | 0 | 0 | 0 | 1 | 0 | 52.63% | 38 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |||
14 | Buddy Robinson | RW | 49 | 8 | 5 | 13 | -12 | 17 | 5 | 60 | 94 | 23 | 54 | 8.51% | 9 | 17.17 | 1 | 0 | 1 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 39.59% | 341 | 0 | 0 | 0 | 0 | 0.31 | 0 | 1 | |||
15 | Martin Kaut | RW | 49 | 3 | 9 | 12 | 11 | 4 | 0 | 14 | 49 | 17 | 39 | 6.12% | 1 | 9.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 35.14% | 37 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |||
16 | Gaetan Haas | C | 43 | 3 | 4 | 7 | -6 | 8 | 0 | 23 | 36 | 16 | 22 | 8.33% | 3 | 8.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 48.24% | 425 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |||
17 | Jake Walman | D | 11 | 2 | 4 | 6 | 4 | 4 | 0 | 11 | 6 | 1 | 1 | 33.33% | 6 | 13.03 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | |||
18 | Anton Blidh | LW/RW | 28 | 2 | 3 | 5 | -7 | 8 | 0 | 19 | 42 | 12 | 27 | 4.76% | 8 | 12.50 | 1 | 1 | 2 | 42 | 0 | 0 | 0 | 14 | 0 | 1 | 47.62% | 21 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |||
19 | Denis Malgin | C/LW/RW | 45 | 3 | 1 | 4 | 2 | 2 | 0 | 15 | 20 | 2 | 15 | 15.00% | 2 | 4.34 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 14 | 2 | 0 | 53.74% | 147 | 0 | 0 | 0 | 0 | 0.41 | 0 | 1 | |||
20 | Steven Santini | D | 43 | 0 | 3 | 3 | 0 | 13 | 5 | 11 | 5 | 3 | 3 | 0.00% | 4 | 2.94 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |||
Team Total or Average | 882 | 140 | 276 | 416 | -17 | 301 | 25 | 1078 | 1466 | 442 | 1039 | 9.55% | 440 | 16.32 | 28 | 56 | 84 | 1100 | 0 | 2 | 2 | 850 | 20 | 11 | 47.78% | 4069 | 0 | 0 | 0 | 3 | 0.58 | 3 | 12 |
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 | Vitek Vanecek | 44 | 18 | 19 | 5 | 0.879 | 3.45 | 2420 | 6 | 1 | 139 | 1145 | 0 | 2 | 0 | 0.600 | 15 | 44 | 5 | 4 | 2 | 0 | |
2 | Jonas Johansson | 13 | 3 | 3 | 1 | 0.938 | 1.96 | 552 | 0 | 1 | 18 | 292 | 0 | 0 | 0 | 0.000 | 0 | 5 | 44 | 1 | 0 | 0 | |
Team Total or Average | 57 | 21 | 22 | 6 | 0.891 | 3.17 | 2972 | 6 | 2 | 157 | 1437 | 0 | 2 | 0 | 0.600 | 15 | 49 | 49 | 5 | 2 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander True | C | 22 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
| 0$ | 0$ | |||||||||
Anton Blidh | LW/RW | 24 | 700,000$ | 700,000$ | 700,000$ | ||||||
Brendan Guhle | D | 22 | 888,333$ | 888,333$ | 888,333$ | 888,333$ | |||||
Buddy Robinson | RW | 28 | 700,000$ | 700,000$ | 700,000$ | ||||||
Casey Cizikas | C | 28 | 3,350,000$ | 3,350,000$ | 3,350,000$ | 3,350,000$ | |||||
Curtis Lazar | C/LW/RW | 25 | 700,000$ | 700,000$ | 700,000$ | ||||||
Denis Malgin | C/LW/RW | 23 | 750,000$ | 750,000$ | 750,000$ | ||||||
Dmytro Timashov | LW/RW | 23 | 836,111$ | 836,111$ | 836,111$ | 836,111$ | |||||
Gaetan Haas | C | 28 | 925,000$ | 925,000$ | |||||||
Gustav Forsling | D | 23 | 874,125$ | 874,125$ | 874,125$ | ||||||
Hudson Fasching | RW | 24 | 737,500$ | 737,500$ | 737,500$ | ||||||
Jake Walman | D | 24 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Jimmy Schuldt | D | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Joel Hanley | D | 28 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
| 0$ | 0$ | |||||||||
Jordan Kyrou | C/RW | 21 | 880,000$ | 880,000$ | 880,000$ | 880,000$ | |||||
Libor Hajek | D | 22 | 894,166$ | 894,166$ | 894,166$ | 894,166$ | |||||
Mark Friedman | D | 24 | 749,167$ | 749,167$ | 749,167$ | 749,167$ | |||||
Martin Kaut | RW | 20 | 1,319,167$ | 1,319,167$ | 1,319,167$ | 1,319,167$ | |||||
Mathieu Joseph | LW/RW | 23 | 910,833$ | 910,833$ | 910,833$ | 910,833$ | |||||
Maxime Lajoie | D | 22 | 780,000$ | 780,000$ | 780,000$ | 780,000$ | |||||
Niko Mikkola | D | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Sebastian Repo | RW | 23 | 740,000$ | 740,000$ | |||||||
Steven Santini | D | 24 | 1,416,667$ | 1,416,667$ | |||||||
| 0$ | 0$ |
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Goalies | |||||||
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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 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 50 | 57 | 41 | 6 | 63 | 502 | 477 | 495 | 48 | 67 | 8 | 23 | 45 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 45.5% | 7.9% | 91.0% | 99.0 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 50 | 57 | 41 | 6 | 18 | 502 | 477 | 495 | 48 | 39 | 10 | 6 | 18 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 1 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 40.0% | 16.7% | 89.7% | 106.4 | FUN | |
3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 6 | 1.000 | 11 | 18 | 29 | 0 | 1 | 50 | 57 | 41 | 6 | 111 | 502 | 477 | 495 | 48 | 61 | 22 | 8 | 72 | 10 | 1 | 10.00% | 4 | 0 | 100.00% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 71.4% | 9.9% | 93.4% | 103.4 | LUCKY | |
4 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 17 | 1 | 2 | 0.250 | 18 | 33 | 51 | 0 | 0 | 50 | 57 | 41 | 6 | 124 | 502 | 477 | 495 | 48 | 131 | 45 | 26 | 84 | 17 | 5 | 29.41% | 13 | 5 | 61.54% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 52.0% | 14.5% | 87.0% | 101.5 | FUN | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 50 | 57 | 41 | 6 | 63 | 502 | 477 | 495 | 48 | 55 | 22 | 7 | 47 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 50.0% | 15.9% | 83.6% | 99.5 | FUN | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 50 | 57 | 41 | 6 | 65 | 502 | 477 | 495 | 48 | 56 | 17 | 21 | 35 | 5 | 2 | 40.00% | 8 | 1 | 87.50% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 30.8% | 9.2% | 82.1% | 91.4 | FUN | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 50 | 57 | 41 | 6 | 49 | 502 | 477 | 495 | 48 | 65 | 14 | 12 | 51 | 6 | 2 | 33.33% | 5 | 1 | 80.00% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 63.6% | 18.4% | 92.3% | 110.7 | LUCKY | |
8 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 9 | 9 | 0 | 6 | 0.750 | 9 | 15 | 24 | 0 | 0 | 50 | 57 | 41 | 6 | 107 | 502 | 477 | 495 | 48 | 112 | 40 | 26 | 89 | 14 | 2 | 14.29% | 13 | 4 | 69.23% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 58.3% | 8.4% | 92.0% | 100.4 | DULL | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 50 | 57 | 41 | 6 | 57 | 502 | 477 | 495 | 48 | 44 | 14 | 6 | 37 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 28.6% | 7.0% | 88.6% | 95.7 | Unlucky | |
10 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 50 | 57 | 41 | 6 | 60 | 502 | 477 | 495 | 48 | 58 | 19 | 12 | 48 | 8 | 2 | 25.00% | 6 | 0 | 100.00% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 45.5% | 11.7% | 89.7% | 101.3 | FUN | |
11 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.333 | 5 | 10 | 15 | 0 | 0 | 50 | 57 | 41 | 6 | 91 | 502 | 477 | 495 | 48 | 66 | 20 | 8 | 71 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 50.0% | 5.5% | 90.9% | 96.4 | Unlucky | |
12 | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 7 | 8 | -1 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 50 | 57 | 41 | 6 | 102 | 502 | 477 | 495 | 48 | 104 | 28 | 24 | 59 | 5 | 1 | 20.00% | 9 | 2 | 77.78% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 50.0% | 6.9% | 92.3% | 99.2 | DULL | |
13 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.500 | 9 | 18 | 27 | 0 | 0 | 50 | 57 | 41 | 6 | 76 | 502 | 477 | 495 | 48 | 72 | 30 | 10 | 43 | 5 | 1 | 20.00% | 5 | 2 | 60.00% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 50.0% | 11.8% | 86.1% | 98.0 | FUN | |
14 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 16 | 20 | -4 | 3 | 0.300 | 16 | 29 | 45 | 0 | 0 | 50 | 57 | 41 | 6 | 170 | 502 | 477 | 495 | 48 | 162 | 51 | 44 | 113 | 11 | 4 | 36.36% | 22 | 8 | 63.64% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 50.0% | 9.4% | 87.7% | 97.1 | FUN | |
15 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 50 | 57 | 41 | 6 | 89 | 502 | 477 | 495 | 48 | 82 | 27 | 18 | 69 | 5 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 46.7% | 7.9% | 85.4% | 93.2 | Unlucky | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 50 | 57 | 41 | 6 | 71 | 502 | 477 | 495 | 48 | 68 | 16 | 8 | 47 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 36.4% | 5.6% | 88.2% | 93.9 | Unlucky | |
17 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 19 | 29 | 0 | 1 | 50 | 57 | 41 | 6 | 90 | 502 | 477 | 495 | 48 | 84 | 19 | 22 | 62 | 9 | 1 | 11.11% | 11 | 1 | 90.91% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 60.0% | 11.1% | 91.7% | 102.8 | LUCKY | |
18 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 11 | 14 | -3 | 3 | 0.375 | 11 | 22 | 33 | 0 | 0 | 50 | 57 | 41 | 6 | 101 | 502 | 477 | 495 | 48 | 111 | 45 | 32 | 93 | 14 | 5 | 35.71% | 15 | 1 | 93.33% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 31.6% | 10.9% | 87.4% | 98.3 | FUN | |
_Vs Division | 11 | 5 | 2 | 0 | 0 | 1 | 1 | 2 | 32 | 32 | 0 | 15 | 0.682 | 32 | 59 | 91 | 0 | 0 | 50 | 57 | 41 | 6 | 305 | 502 | 477 | 495 | 48 | 317 | 100 | 68 | 257 | 33 | 6 | 18.18% | 32 | 9 | 71.88% | 0 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 53.1% | 10.5% | 89.9% | 100.4 | FUN | |
_Vs Conference | 25 | 9 | 11 | 0 | 0 | 2 | 1 | 2 | 74 | 79 | -5 | 24 | 0.480 | 74 | 140 | 214 | 0 | 0 | 50 | 57 | 41 | 6 | 702 | 502 | 477 | 495 | 48 | 731 | 228 | 163 | 568 | 74 | 17 | 22.97% | 69 | 17 | 75.36% | 1 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 47.9% | 10.5% | 89.2% | 99.7 | FUN | |
_Since Last GM Reset | 49 | 18 | 22 | 0 | 2 | 3 | 1 | 3 | 151 | 160 | -9 | 48 | 0.490 | 151 | 281 | 432 | 0 | 2 | 50 | 57 | 41 | 6 | 1507 | 502 | 477 | 495 | 48 | 1437 | 447 | 313 | 1083 | 135 | 30 | 22.22% | 136 | 32 | 76.47% | 1 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 48.6% | 10.0% | 88.9% | 98.9 | FUN | |
Total | 49 | 18 | 22 | 0 | 2 | 3 | 1 | 3 | 151 | 160 | -9 | 48 | 0.490 | 151 | 281 | 432 | 0 | 2 | 50 | 57 | 41 | 6 | 1507 | 502 | 477 | 495 | 48 | 1437 | 447 | 313 | 1083 | 135 | 30 | 22.22% | 136 | 32 | 76.47% | 1 | 784 | 1644 | 47.69% | 799 | 1614 | 49.50% | 401 | 799 | 50.19% | 1147 | 775 | 1181 | 366 | 646 | 322 | 48.6% | 10.0% | 88.9% | 98.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1644 |
Neutral Zone Start | 799 |
Defensive Zone Start | 1614 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1984 |
Faceoffs Lost | 2073 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 30.1 | 30.68 |
Overtime | 31.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 120 |
---|---|
PP Goal | 30 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 10 | 11 |
Lost | 12 | 10 |
Overtime Lost | 2 | 4 |
PP Attempt | 135 |
---|---|
PP Goal | 30 |
PK Attempt | 136 |
PK Goal Against | 32 |
Home | |
---|---|
Shots For | 30.8 |
Shots Against | 29.3 |
Goals For | 3.1 |
Goals Against | 3.3 |
Hits | 22.1 |
Shots Blocked | 9.1 |
Pim | 6.4 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-11-21 | @ | IceHogs3,Admirals1 | RECAP | ||
2020-11-23 | @ | Griffins1,IceHogs3 | RECAP | ||
2020-11-25 | @ | IceHogs5,Sound Tigers4 (OT) | RECAP | ||
2020-11-26 | @ | Rocherster Americans4,IceHogs2 | RECAP | ||
2020-11-28 | @ | IceHogs6,Griffins4 | RECAP | ||
2020-11-30 | @ | IceHogs2,Rampage1 | RECAP | ||
2020-12-02 | @ | Manitoba Moose5,IceHogs1 | RECAP | ||
2020-12-04 | @ | Sound Tigers6,IceHogs4 | RECAP | ||
2020-12-07 | @ | IceHogs1,Rocket6 | RECAP | ||
2020-12-09 | @ | Rocherster Americans3,IceHogs2 | RECAP | ||
2020-12-10 | @ | IceHogs1,Wolves 2 (OT) | RECAP | ||
2020-12-12 | @ | Wolves 5,IceHogs3 | RECAP | ||
2020-12-15 | @ | IceHogs4,Manitoba Moose3 | RECAP | ||
2020-12-17 | @ | Rampage1,IceHogs2 (SO) | RECAP | ||
2020-12-19 | @ | IceHogs4,Wolf Pack6 | RECAP | ||
2020-12-21 | @ | Condors2,IceHogs1 | RECAP | ||
2020-12-22 | @ | IceHogs2,Thunderbirds0 | RECAP | ||
2020-12-24 | @ | IceHogs2,Bruins3 | RECAP | ||
2020-12-26 | @ | Bruins3,IceHogs2 (OT) | RECAP | ||
2020-12-27 | @ | Heat3,IceHogs4 | RECAP | ||
2020-12-29 | @ | Marlies2,IceHogs3 | RECAP | ||
2021-01-03 | @ | Senators2,IceHogs6 | RECAP | ||
2021-01-04 | @ | IceHogs6,Checkers3 | RECAP | ||
2021-01-06 | @ | IceHogs6,Rocherster Americans4 | RECAP | ||
2021-01-08 | @ | Senators0,IceHogs1 | RECAP | ||
2021-01-10 | @ | IceHogs2,Wolf Pack4 | RECAP | ||
2021-01-12 | @ | Rampage3,IceHogs2 (SO) | RECAP | ||
2021-01-13 | @ | IceHogs3,Rocherster Americans4 (SO) | RECAP | ||
2021-01-15 | @ | Marlies3,IceHogs1 | RECAP | ||
2021-01-18 | @ | Rocket2,IceHogs3 | RECAP | ||
2021-01-19 | @ | IceHogs3,Rampage4 (SO) | RECAP | ||
2021-01-21 | @ | IceHogs5,Reign7 | RECAP | ||
2021-01-23 | @ | Reign3,IceHogs2 | RECAP | ||
2021-01-25 | @ | Wolves 2,IceHogs4 | RECAP | ||
2021-01-27 | @ | IceHogs3,Wolves 5 | RECAP | ||
2021-01-29 | @ | Rocherster Americans5,IceHogs3 | RECAP | ||
2021-01-31 | @ | IceHogs7,Reign2 | RECAP | ||
2021-02-02 | @ | Bears4,IceHogs3 | RECAP | ||
2021-02-04 | @ | IceHogs4,Senators2 | RECAP | ||
2021-02-06 | @ | IceHogs1,Condors3 | RECAP | ||
2021-02-08 | @ | Reign5,IceHogs4 | RECAP | ||
2021-02-10 | @ | IceHogs2,Manitoba Moose4 | RECAP | ||
2021-02-13 | @ | Thunderbirds2,IceHogs5 | RECAP | ||
2021-02-15 | @ | IceHogs3,Thunderbirds5 | RECAP | ||
2021-02-17 | @ | Condors1,IceHogs3 | RECAP | ||
2021-02-19 | @ | IceHogs4,Admirals5 (OT) | RECAP | ||
2021-02-20 | @ | Checkers6,IceHogs4 | RECAP | ||
2021-02-22 | @ | IceHogs3,Bruins2 (OT) | RECAP | ||
2021-02-24 | @ | IceHogs1,Heat3 | RECAP | ||
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2021-05-02 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
24,917,735$ | 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 |
17 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
24,917,735$ | 24,917,735$ | 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$ | 68 | 149,663$ | 10,177,084$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
10,177,084$ | 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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