| Rockford IceHogs 10-12-0, 20pts · 11th in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matt Luff | 64 | RW | 100.00 | 70 | 41 | 75 | 58 | 89 | 70 | 70 | 65 | 38 | 60 | 61 | 69 | 61 | 72 | 69 | 0 | 33 | 73 | 28 | 1,500,000$/1yrs | |||
Cole O'Hara (R) | 0 | RW | 100.00 | 60 | 38 | 87 | 61 | 73 | 69 | 91 | 58 | 48 | 61 | 61 | 66 | 61 | 63 | 62 | 0 | 42 | 71 | 23 | 860,000$/2yrs | |||
MacKenzie Entwistle | 0 | C | 100.00 | 80 | 44 | 76 | 57 | 76 | 75 | 75 | 57 | 75 | 57 | 59 | 67 | 58 | 68 | 65 | 0 | 40 | 70 | 26 | 850,000$/1yrs | |||
Taylor Ward | 0 | RW | 100.00 | 73 | 40 | 70 | 54 | 78 | 66 | 69 | 65 | 37 | 56 | 55 | 68 | 56 | 70 | 67 | 0 | 43 | 70 | 27 | 775,000$/1yrs | |||
Angus MacDonnell (R) | 0 | C | 99.00 | 96 | 42 | 50 | 60 | 70 | 65 | 82 | 56 | 64 | 57 | 59 | 62 | 58 | 57 | 52 | 0 | 43 | 69 | 20 | 850,000$/3yrs | |||
Shawn Element | 16 | C | 100.00 | 76 | 41 | 64 | 53 | 77 | 64 | 68 | 63 | 40 | 53 | 54 | 67 | 53 | 66 | 63 | 0 | 25 | 68 | 25 | 800,000$/2yrs | |||
Dino Kambeitz | 0 | RW | 100.00 | 68 | 40 | 77 | 53 | 84 | 64 | 68 | 63 | 44 | 52 | 55 | 67 | 54 | 66 | 64 | 0 | 40 | 68 | 25 | 800,000$/2yrs | |||
Luke Toporowski | 0 | LW | 99.00 | 68 | 39 | 78 | 56 | 70 | 64 | 85 | 60 | 47 | 54 | 57 | 63 | 55 | 61 | 59 | 0 | 25 | 68 | 24 | 800,000$/2yrs | |||
Jalen Luypen (R) | 0 | C | 100.00 | 63 | 38 | 86 | 54 | 65 | 63 | 67 | 61 | 43 | 54 | 53 | 65 | 54 | 63 | 61 | 0 | 43 | 67 | 23 | 850,000$/2yrs | |||
Cole Reinhardt | 0 | LW | 100.00 | 81 | 47 | 70 | 55 | 77 | 69 | 68 | 52 | 65 | 55 | 57 | 52 | 55 | 66 | 63 | 0 | 27 | 66 | 25 | 800,000$/1yrs | |||
Trevor Connelly (R) | 0 | LW | 100.00 | 85 | 40 | 57 | 58 | 67 | 62 | 80 | 54 | 43 | 57 | 55 | 57 | 56 | 56 | 51 | 0 | 44 | 66 | 19 | 975,000$/3yrs | |||
Patrick Guay (R) | 0 | C/LW | 98.00 | 70 | 39 | 75 | 50 | 67 | 58 | 71 | 60 | 61 | 48 | 47 | 63 | 48 | 59 | 56 | 0 | 33 | 63 | 23 | 800,000$/1yrs | |||
Isaak Phillips | 0 | D | 99.00 | 75 | 33 | 79 | 58 | 83 | 84 | 71 | 57 | 30 | 62 | 54 | 69 | 56 | 64 | 62 | 0 | 39 | 73 | 24 | 850,000$/3yrs | |||
Declan Chisholm | 0 | D | 100.00 | 61 | 32 | 89 | 57 | 74 | 84 | 80 | 52 | 30 | 62 | 57 | 59 | 55 | 67 | 66 | 0 | 33 | 70 | 25 | 1,600,000$/2yrs | |||
Casey Fitzgerald | 0 | D | 100.00 | 76 | 40 | 65 | 50 | 70 | 65 | 67 | 49 | 30 | 56 | 52 | 70 | 54 | 71 | 68 | 0 | 36 | 68 | 28 | 800,000$/2yrs | |||
Josh Jacobs | 28 | D | 100.00 | 66 | 40 | 81 | 48 | 87 | 64 | 65 | 47 | 30 | 54 | 51 | 71 | 52 | 73 | 71 | 0 | 40 | 67 | 29 | 800,000$/2yrs | |||
Jake Livingstone | 0 | D | 100.00 | 68 | 41 | 78 | 49 | 86 | 64 | 67 | 48 | 30 | 54 | 52 | 68 | 53 | 68 | 66 | 0 | 43 | 67 | 27 | 800,000$/2yrs | |||
Riley Stillman | 0 | D | 100.00 | 81 | 42 | 56 | 48 | 77 | 64 | 66 | 47 | 30 | 53 | 52 | 69 | 52 | 70 | 65 | 0 | 28 | 66 | 27 | 800,000$/1yrs | |||
Ronan Seeley (R) | 0 | D | 100.00 | 58 | 38 | 94 | 48 | 76 | 62 | 66 | 47 | 30 | 53 | 51 | 65 | 52 | 63 | 62 | 0 | 39 | 65 | 23 | 900,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Seth Griffith | 0 | C | 100.00 | 67 | 39 | 80 | 58 | 69 | 72 | 71 | 69 | 39 | 67 | 58 | 72 | 63 | 79 | 77 | 0 | 32 | 75 | 32 | 1,500,000$/1yrs | |||
Jesse Puljujarvi | 0 | RW | 100.00 | 82 | 38 | 86 | 60 | 82 | 73 | 73 | 58 | 57 | 60 | 63 | 55 | 61 | 70 | 68 | 0 | 20 | 72 | 27 | 1,000,000$/2yrs | |||
Connor Kurth (R) | 0 | C/LW/RW | 98.00 | 57 | 38 | 94 | 60 | 74 | 67 | 91 | 57 | 62 | 58 | 60 | 65 | 59 | 58 | 57 | 0 | 39 | 69 | 22 | 870,000$/2yrs | |||
Johan Sodergran | 0 | RW | 100.00 | 58 | 30 | 99 | 68 | 84 | 58 | 60 | 62 | 54 | 42 | 58 | 65 | 58 | 64 | 61 | 0 | 20 | 68 | 26 | 850,000$/2yrs | |||
Tanner Dickinson (R) | 0 | C | 100.00 | 59 | 38 | 93 | 54 | 69 | 63 | 67 | 61 | 67 | 53 | 54 | 65 | 53 | 63 | 62 | 0 | 20 | 67 | 23 | 775,000$/1yrs | |||
Milton Gastrin (R) | 0 | C/LW | 100.00 | 63 | 39 | 84 | 60 | 73 | 64 | 80 | 55 | 68 | 57 | 58 | 60 | 57 | 54 | 52 | 0 | 20 | 67 | 18 | 975,000$/3yrs | |||
Samuel Savoie (R) | 0 | LW | 100.00 | 63 | 38 | 87 | 55 | 72 | 62 | 66 | 59 | 41 | 55 | 53 | 63 | 54 | 59 | 58 | 0 | 20 | 66 | 21 | 878,333$/1yrs | |||
Matthew Seminoff (R) | 0 | RW | 100.00 | 62 | 38 | 87 | 53 | 73 | 62 | 66 | 61 | 40 | 53 | 51 | 64 | 52 | 61 | 60 | 0 | 34 | 66 | 21 | 850,000$/1yrs | |||
Filip Roos | 0 | D | 100.00 | 65 | 40 | 83 | 50 | 82 | 64 | 65 | 49 | 30 | 56 | 51 | 68 | 53 | 68 | 66 | 0 | 20 | 67 | 26 | 900,000$/1yrs | |||
Connor Corcoran (R) | 85 | D | 100.00 | 61 | 39 | 90 | 48 | 79 | 63 | 65 | 48 | 30 | 54 | 51 | 67 | 53 | 66 | 65 | 0 | 20 | 66 | 25 | 800,000$/2yrs | |||
Jakub Galvas | 0 | D | 100.00 | 62 | 37 | 88 | 51 | 63 | 62 | 76 | 48 | 30 | 57 | 47 | 66 | 52 | 64 | 63 | 0 | 20 | 66 | 26 | 875,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jacob Fowler | 0 | 99.00 | 78 | 91 | 73 | 84 | 68 | 75 | 77 | 78 | 75 | 76 | 77 | 59 | 68 | 0 | 43 | 80 | 21 | 923,333$/3yrs |
Cal Petersen | 0 | 100.00 | 60 | 62 | 66 | 76 | 56 | 60 | 60 | 60 | 60 | 65 | 60 | 75 | 78 | 0 | 49 | 68 | 31 | 850,000$/1yrs |
| Scratches | ||||||||||||||||||||
Anson Thornton | 0 | 100.00 | 66 | 66 | 64 | 75 | 62 | 72 | 65 | 66 | 72 | 73 | 67 | 58 | 58 | 0 | 29 | 72 | 22 | 795,556$/1yrs |
Jaxson Stauber | 0 | 100.00 | 60 | 62 | 66 | 73 | 58 | 60 | 60 | 66 | 60 | 66 | 60 | 67 | 70 | 0 | 23 | 68 | 26 | 975,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Anders Sorensen | 72 | 70 | 78 | 79 | 66 | 70 | 60 | SWE | 50 | 3 | 500,000$ |
| General Manager |
|---|
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Matt Luff | RW | 19 | 7 | 12 | 19 | 4 | 6 | 0 | 16 | 68 | 18 | 42 | 10.29% | 4 | 17.36 | 2 | 6 | 8 | 57 | 0 | 0 | 0 | 13 | 1 | 1 | 42.86% | 21 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 | ||
| 2 | Taylor Ward | RW | 22 | 10 | 8 | 18 | 2 | 4 | 0 | 28 | 84 | 20 | 50 | 11.90% | 5 | 15.32 | 1 | 2 | 3 | 31 | 0 | 0 | 0 | 0 | 1 | 1 | 37.50% | 24 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | ||
| 3 | MacKenzie Entwistle | C | 22 | 7 | 9 | 16 | 5 | 14 | 0 | 55 | 60 | 18 | 46 | 11.67% | 6 | 19.19 | 2 | 1 | 3 | 63 | 0 | 0 | 0 | 58 | 1 | 0 | 60.58% | 591 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
| 4 | Declan Chisholm | D | 22 | 3 | 9 | 12 | 5 | 0 | 0 | 11 | 27 | 10 | 23 | 11.11% | 11 | 20.64 | 1 | 4 | 5 | 64 | 0 | 0 | 0 | 58 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 5 | Cole O'Hara | RW | 22 | 4 | 7 | 11 | 0 | 19 | 5 | 11 | 69 | 23 | 58 | 5.80% | 4 | 17.30 | 1 | 0 | 1 | 63 | 0 | 0 | 0 | 0 | 0 | 0 | 32.00% | 25 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 6 | Seth Griffith | C | 13 | 4 | 5 | 9 | -3 | 8 | 0 | 39 | 37 | 12 | 27 | 10.81% | 6 | 22.11 | 0 | 2 | 2 | 37 | 0 | 0 | 0 | 39 | 1 | 0 | 38.63% | 409 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
| 7 | Angus MacDonnell | C | 22 | 2 | 6 | 8 | -7 | 18 | 0 | 82 | 48 | 19 | 37 | 4.17% | 4 | 15.27 | 0 | 1 | 1 | 35 | 0 | 0 | 0 | 14 | 0 | 0 | 53.70% | 432 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
| 8 | Casey Fitzgerald | D | 22 | 1 | 6 | 7 | 6 | 39 | 5 | 61 | 23 | 5 | 20 | 4.35% | 31 | 19.72 | 0 | 0 | 0 | 61 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
| 9 | Connor Kurth | C/LW/RW | 18 | 2 | 5 | 7 | -2 | 0 | 0 | 7 | 43 | 9 | 33 | 4.65% | 3 | 21.71 | 1 | 1 | 2 | 41 | 0 | 0 | 0 | 58 | 1 | 1 | 54.55% | 33 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 10 | Isaak Phillips | D | 9 | 3 | 3 | 6 | 0 | 8 | 0 | 17 | 17 | 4 | 16 | 17.65% | 18 | 25.25 | 2 | 1 | 3 | 31 | 0 | 0 | 0 | 28 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 11 | Jake Livingstone | D | 22 | 0 | 6 | 6 | -4 | 8 | 0 | 38 | 12 | 3 | 7 | 0.00% | 28 | 13.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 12 | Trevor Connelly | LW | 20 | 2 | 4 | 6 | -4 | 8 | 0 | 25 | 27 | 7 | 17 | 7.41% | 1 | 12.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 75.00% | 16 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
| 13 | Ronan Seeley | D | 15 | 3 | 2 | 5 | 2 | 2 | 0 | 4 | 14 | 5 | 4 | 21.43% | 11 | 8.60 | 1 | 2 | 3 | 17 | 0 | 0 | 0 | 11 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | ||
| 14 | Jalen Luypen | C | 22 | 3 | 2 | 5 | 2 | 0 | 0 | 9 | 18 | 3 | 17 | 16.67% | 2 | 5.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 31.58% | 76 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | ||
| 15 | Josh Jacobs | D | 22 | 1 | 3 | 4 | -4 | 18 | 0 | 30 | 13 | 5 | 8 | 7.69% | 15 | 14.70 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 23 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
| 16 | Dino Kambeitz | RW | 22 | 1 | 3 | 4 | -5 | 0 | 0 | 3 | 42 | 13 | 28 | 2.38% | 2 | 9.27 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 41.18% | 17 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 17 | Matthew Seminoff | RW | 11 | 1 | 2 | 3 | 2 | 2 | 0 | 6 | 14 | 2 | 9 | 7.14% | 1 | 8.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
| 18 | Shawn Element | C | 11 | 0 | 2 | 2 | -2 | 10 | 0 | 2 | 16 | 7 | 11 | 0.00% | 3 | 12.42 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 0 | 0 | 39.29% | 140 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 19 | Luke Toporowski | LW | 11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 17 | 9 | 26 | 11.76% | 2 | 16.78 | 0 | 0 | 0 | 30 | 0 | 0 | 0 | 21 | 1 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
| 20 | Patrick Guay | C/LW | 9 | 0 | 2 | 2 | 5 | 2 | 0 | 16 | 11 | 1 | 10 | 0.00% | 0 | 11.31 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 11 | 0 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 21 | Cole Reinhardt | LW | 10 | 1 | 0 | 1 | -2 | 2 | 0 | 11 | 5 | 0 | 2 | 20.00% | 1 | 10.11 | 1 | 0 | 1 | 10 | 0 | 0 | 0 | 11 | 0 | 0 | 57.69% | 52 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
| 22 | Riley Stillman | D | 10 | 0 | 0 | 0 | 0 | 4 | 0 | 10 | 2 | 1 | 3 | 0.00% | 4 | 7.70 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 376 | 57 | 96 | 153 | 0 | 172 | 10 | 481 | 667 | 194 | 494 | 8.55% | 162 | 14.92 | 12 | 21 | 33 | 564 | 0 | 0 | 0 | 433 | 9 | 5 | 50.00% | 1858 | 0 | 0 | 0 | 0 | 0.55 | 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 | Jacob Fowler | 19 | 10 | 9 | 0 | 0.906 | 2.90 | 1097 | 2 | 0 | 53 | 565 | 0 | 0 | 1 | 0.000 | 0 | 19 | 0 | 3 | 0 | 1 | |
| 2 | Cal Petersen | 2 | 0 | 0 | 0 | 0.966 | 0.91 | 66 | 0 | 0 | 1 | 29 | 0 | 0 | 0 | 0.000 | 0 | 0 | 22 | 0 | 0 | 0 | |
| 3 | Jaxson Stauber | 3 | 0 | 3 | 0 | 0.818 | 3.92 | 153 | 0 | 0 | 10 | 55 | 0 | 0 | 1 | 0.000 | 0 | 3 | 0 | 0 | 0 | 0 | |
| Team Total or Average | 24 | 10 | 12 | 0 | 0.901 | 2.92 | 1317 | 2 | 0 | 64 | 649 | 0 | 0 | 2 | 0.000 | 0 | 22 | 22 | 3 | 0 | 1 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Angus MacDonnell | C | 20 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
| Anson Thornton | G | 22 | 795,556$ | 795,556$ | RFA | ||||||
| Cal Petersen | G | 31 | 850,000$ | 850,000$ | UFA | ||||||
| Casey Fitzgerald | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Cole O'Hara | RW | 23 | 860,000$ | 860,000$ | 860,000$ | ||||||
| Cole Reinhardt | LW | 25 | 800,000$ | 800,000$ | |||||||
| Connor Corcoran | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Connor Kurth | C/LW/RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Declan Chisholm | D | 25 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
| Dino Kambeitz | RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Filip Roos | D | 26 | 900,000$ | 900,000$ | |||||||
| Isaak Phillips | D | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
| Jacob Fowler | G | 21 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | ||||
| Jake Livingstone | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Jakub Galvas | D | 26 | 875,000$ | 875,000$ | |||||||
| Jalen Luypen | C | 23 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Jaxson Stauber | G | 26 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Jesse Puljujarvi | RW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Johan Sodergran | RW | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| Josh Jacobs | D | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Luke Toporowski | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| MacKenzie Entwistle | C | 26 | 850,000$ | 850,000$ | |||||||
| Matt Luff | RW | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Matthew Seminoff | RW | 21 | 850,000$ | 850,000$ | RFA | ||||||
| Milton Gastrin | C/LW | 18 | 975,000$ | 9,775,000$ | 975,000$ | 975,000$ | RFA | ||||
| Patrick Guay | C/LW | 23 | 800,000$ | 800,000$ | RFA | ||||||
| Riley Stillman | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Ronan Seeley | D | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Samuel Savoie | LW | 21 | 878,333$ | 878,333$ | RFA | ||||||
| Seth Griffith | C | 32 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Shawn Element | C | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Tanner Dickinson | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
| Taylor Ward | RW | 27 | 775,000$ | 775,000$ | UFA | ||||||
| Trevor Connelly | LW | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA |
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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 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 26 | 17 | 16 | 1 | 69 | 249 | 236 | 250 | 2 | 72 | 24 | 16 | 63 | 5 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 58.3% | 10.1% | 88.9% | 99.0 | FUN | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 26 | 17 | 16 | 1 | 41 | 249 | 236 | 250 | 2 | 30 | 10 | 6 | 35 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 75.0% | 7.3% | 93.3% | 100.7 | DULL | |
| 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 26 | 17 | 16 | 1 | 57 | 249 | 236 | 250 | 2 | 61 | 25 | 8 | 57 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 38.5% | 8.8% | 86.9% | 95.7 | Unlucky | |
| 4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 26 | 17 | 16 | 1 | 97 | 249 | 236 | 250 | 2 | 72 | 24 | 24 | 70 | 9 | 2 | 22.22% | 12 | 3 | 75.00% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 46.7% | 9.3% | 84.7% | 94.0 | FUN | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 26 | 17 | 16 | 1 | 30 | 249 | 236 | 250 | 2 | 36 | 9 | 12 | 16 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 40.0% | 10.0% | 86.1% | 96.1 | FUN | |
| 6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 26 | 17 | 16 | 1 | 110 | 249 | 236 | 250 | 2 | 110 | 30 | 26 | 91 | 4 | 1 | 25.00% | 12 | 1 | 91.67% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 46.2% | 6.4% | 92.7% | 99.1 | DULL | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 26 | 17 | 16 | 1 | 30 | 249 | 236 | 250 | 2 | 21 | 7 | 17 | 20 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 100.0% | 10.0% | 95.2% | 105.2 | LUCKY | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 26 | 17 | 16 | 1 | 28 | 249 | 236 | 250 | 2 | 22 | 11 | 4 | 22 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 50.0% | 3.6% | 90.9% | 94.5 | Unlucky | |
| 9 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 4 | 0.667 | 7 | 11 | 18 | 0 | 0 | 26 | 17 | 16 | 1 | 97 | 249 | 236 | 250 | 2 | 83 | 28 | 30 | 78 | 12 | 1 | 8.33% | 13 | 3 | 76.92% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 66.7% | 7.2% | 92.8% | 100.0 | DULL | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 26 | 17 | 16 | 1 | 37 | 249 | 236 | 250 | 2 | 25 | 6 | 4 | 25 | 9 | 2 | 22.22% | 2 | 0 | 100.00% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 40.0% | 10.8% | 88.0% | 98.8 | FUN | |
| 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 26 | 17 | 16 | 1 | 35 | 249 | 236 | 250 | 2 | 27 | 5 | 10 | 28 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 60.0% | 8.6% | 92.6% | 101.2 | DULL | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 26 | 17 | 16 | 1 | 24 | 249 | 236 | 250 | 2 | 32 | 7 | 12 | 11 | 7 | 1 | 14.29% | 6 | 2 | 66.67% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 50.0% | 8.3% | 90.6% | 99.0 | Unlucky | |
| 13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 1 | 0 | 26 | 17 | 16 | 1 | 82 | 249 | 236 | 250 | 2 | 60 | 23 | 25 | 49 | 9 | 4 | 44.44% | 5 | 0 | 100.00% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 22.2% | 7.3% | 88.3% | 95.7 | Unlucky | |
| _Vs Division | 11 | 6 | 8 | 0 | 1 | 0 | 0 | 0 | 27 | 29 | -2 | 14 | 0.636 | 27 | 48 | 75 | 0 | 0 | 26 | 17 | 16 | 1 | 373 | 249 | 236 | 250 | 2 | 317 | 103 | 90 | 296 | 32 | 4 | 12.50% | 42 | 9 | 78.57% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 53.5% | 7.2% | 90.9% | 98.1 | Unlucky | |
| _Vs Conference | 18 | 7 | 10 | 0 | 1 | 0 | 0 | 0 | 48 | 54 | -6 | 16 | 0.444 | 48 | 84 | 132 | 2 | 0 | 26 | 17 | 16 | 1 | 613 | 249 | 236 | 250 | 2 | 544 | 171 | 165 | 463 | 59 | 10 | 16.95% | 71 | 16 | 77.46% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 50.0% | 7.8% | 90.1% | 97.9 | Unlucky | |
| _Since Last GM Reset | 22 | 9 | 12 | 0 | 1 | 0 | 0 | 0 | 60 | 66 | -6 | 20 | 0.455 | 60 | 107 | 167 | 2 | 0 | 26 | 17 | 16 | 1 | 737 | 249 | 236 | 250 | 2 | 651 | 209 | 194 | 565 | 78 | 13 | 16.67% | 79 | 17 | 78.48% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 49.0% | 8.1% | 89.9% | 98.0 | Unlucky | |
| Total | 22 | 9 | 12 | 0 | 1 | 0 | 0 | 0 | 60 | 66 | -6 | 20 | 0.455 | 60 | 107 | 167 | 2 | 0 | 26 | 17 | 16 | 1 | 737 | 249 | 236 | 250 | 2 | 651 | 209 | 194 | 565 | 78 | 13 | 16.67% | 79 | 17 | 78.48% | 0 | 404 | 830 | 48.67% | 381 | 745 | 51.14% | 182 | 357 | 50.98% | 524 | 352 | 508 | 164 | 288 | 146 | 49.0% | 8.1% | 89.9% | 98.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 830 |
| Neutral Zone Start | 357 |
| Defensive Zone Start | 745 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 967 |
| Faceoffs Lost | 965 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.3 | 9.57 |
| 2nd Period | 22.0 | 20.31 |
| 3rd Period | 33.4 | 30.68 |
| Overtime | 33.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.7 | 2.83 |
| Even Strenght Goal | 45 |
|---|---|
| PP Goal | 13 |
| PK Goal | 0 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 7 | 3 |
| Lost | 4 | 8 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 78 |
|---|---|
| PP Goal | 13 |
| PK Attempt | 79 |
| PK Goal Against | 17 |
| Home | |
|---|---|
| Shots For | 33.5 |
| Shots Against | 29.6 |
| Goals For | 2.7 |
| Goals Against | 3.0 |
| Hits | 25.7 |
| Shots Blocked | 9.5 |
| Pim | 8.8 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | IceHogs3,Firebirds2 | RECAP | |||||||||||
| 2025-10-11 | @ | Wild2,IceHogs4 | RECAP | |||||||||||
| 2025-10-14 | @ | Eagles2,IceHogs3 | RECAP | |||||||||||
| 2025-10-16 | @ | IceHogs3,Admirals2 | RECAP | |||||||||||
| 2025-10-18 | @ | Admirals3,IceHogs2 | RECAP | |||||||||||
| 2025-10-19 | @ | IceHogs3,Stars1 | RECAP | |||||||||||
| 2025-10-22 | @ | Wild5,IceHogs3 | RECAP | |||||||||||
| 2025-10-24 | @ | IceHogs2,Wolves4 | RECAP | |||||||||||
| 2025-10-26 | @ | Moose2,IceHogs1 | RECAP | |||||||||||
| 2025-10-28 | @ | IceHogs2,Admirals3 | RECAP | |||||||||||
| 2025-10-30 | @ | Wolves4,IceHogs5 (OT) | RECAP | |||||||||||
| 2025-10-31 | @ | IceHogs3,Firebirds5 | RECAP | |||||||||||
| 2025-11-01 | @ | IceHogs2,Wild4 | RECAP | |||||||||||
| 2025-11-04 | @ | IceHogs2,Stars4 | RECAP | |||||||||||
| 2025-11-07 | @ | Stars1,IceHogs2 | RECAP | |||||||||||
| 2025-11-12 | @ | Barracuda2,IceHogs3 | RECAP | |||||||||||
| 2025-11-14 | @ | IceHogs2,Wolf Pack3 | RECAP | |||||||||||
| 2025-11-16 | @ | Wolf Pack5,IceHogs3 | RECAP | |||||||||||
| 2025-11-19 | @ | IceHogs2,Silver Knights3 | RECAP | |||||||||||
| 2025-11-20 | @ | IceHogs3,Reign5 | RECAP | |||||||||||
| 2025-11-22 | @ | Penguins3,IceHogs4 | RECAP | |||||||||||
| 2025-11-27 | @ | Checkers1,IceHogs3 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,320,665$ | 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$ | 0$ | $ | $ | $ |
| 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 |
| 25 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,320,665$ | 2,320,665$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 826,032$ | 12,893$ | 684,362$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 141 | 15,670$ | 2,021,430$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,021,430$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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