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Full Scoreboard »» |
| Rockford IceHogs 12-14-1, 25pts · 12th 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 | 32 | 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 | 100.00 | 96 | 42 | 50 | 60 | 70 | 65 | 82 | 56 | 64 | 57 | 59 | 62 | 58 | 57 | 52 | 0 | 43 | 69 | 20 | 850,000$/3yrs | |||
Connor Kurth (R) | 0 | C/LW/RW | 100.00 | 57 | 38 | 94 | 60 | 74 | 67 | 91 | 57 | 62 | 58 | 60 | 65 | 59 | 58 | 57 | 0 | 39 | 69 | 22 | 870,000$/2yrs | |||
Shawn Element | 16 | C | 100.00 | 76 | 41 | 64 | 53 | 77 | 64 | 68 | 63 | 40 | 53 | 54 | 67 | 53 | 66 | 63 | 0 | 24 | 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 | 100.00 | 68 | 39 | 78 | 56 | 70 | 64 | 85 | 60 | 47 | 54 | 57 | 63 | 55 | 61 | 59 | 0 | 24 | 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 | |||
Trevor Connelly (R) | 0 | LW | 100.00 | 85 | 40 | 57 | 58 | 67 | 62 | 80 | 54 | 43 | 57 | 55 | 57 | 56 | 56 | 51 | 0 | 43 | 66 | 19 | 975,000$/3yrs | |||
Patrick Guay (R) | 0 | C/LW | 100.00 | 70 | 39 | 75 | 50 | 67 | 58 | 71 | 60 | 61 | 48 | 47 | 63 | 48 | 59 | 56 | 0 | 33 | 63 | 23 | 800,000$/1yrs | |||
Isaak Phillips | 0 | D | 100.00 | 75 | 33 | 79 | 58 | 83 | 84 | 71 | 57 | 30 | 62 | 54 | 69 | 56 | 64 | 62 | 0 | 38 | 73 | 24 | 850,000$/3yrs | |||
Declan Chisholm | 0 | D | 100.00 | 61 | 32 | 89 | 57 | 74 | 84 | 80 | 52 | 30 | 62 | 57 | 59 | 55 | 67 | 66 | 0 | 32 | 70 | 25 | 1,600,000$/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$/2yrs | |||
Riley Stillman | 0 | D | 100.00 | 81 | 42 | 56 | 48 | 77 | 64 | 66 | 47 | 30 | 53 | 52 | 69 | 52 | 70 | 65 | 0 | 27 | 66 | 27 | 800,000$/1yrs | |||
Ronan Seeley (R) | 0 | D | 100.00 | 58 | 38 | 94 | 48 | 76 | 62 | 66 | 47 | 30 | 53 | 51 | 65 | 52 | 63 | 62 | 0 | 38 | 65 | 23 | 900,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Seth Griffith | 0 | C | 100.00 | 67 | 39 | 80 | 58 | 69 | 72 | 71 | 69 | 39 | 67 | 58 | 72 | 63 | 79 | 77 | 0 | 27 | 75 | 32 | 1,500,000$/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$/2yrs | |||
Johan Sodergran | 0 | RW | 100.00 | 58 | 30 | 99 | 68 | 84 | 58 | 60 | 62 | 54 | 42 | 58 | 65 | 58 | 64 | 61 | 0 | 20 | 68 | 26 | 850,000$/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$/1yrs | |||
Matthew Seminoff (R) | 0 | RW | 100.00 | 62 | 38 | 87 | 53 | 73 | 62 | 66 | 61 | 40 | 53 | 51 | 64 | 52 | 61 | 60 | 0 | 29 | 66 | 21 | 850,000$/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$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jacob Fowler | 0 | 100.00 | 78 | 91 | 73 | 84 | 68 | 75 | 77 | 78 | 75 | 76 | 77 | 59 | 68 | 0 | 43 | 80 | 21 | 923,333$/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$/1yrs |
| Scratches | ||||||||||||||||||||
Anson Thornton | 0 | 100.00 | 66 | 66 | 64 | 75 | 62 | 72 | 65 | 66 | 72 | 73 | 67 | 58 | 58 | 0 | 26 | 72 | 22 | 795,556$/1yrs |
Jaxson Stauber | 0 | 100.00 | 60 | 62 | 66 | 73 | 58 | 60 | 60 | 66 | 60 | 66 | 60 | 67 | 70 | 0 | 20 | 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 | 24 | 8 | 14 | 22 | 5 | 8 | 0 | 21 | 84 | 23 | 60 | 9.52% | 6 | 17.03 | 2 | 6 | 8 | 71 | 0 | 0 | 0 | 13 | 1 | 1 | 43.48% | 23 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | ||
| 2 | Taylor Ward | RW | 27 | 10 | 11 | 21 | 3 | 6 | 0 | 30 | 97 | 27 | 62 | 10.31% | 5 | 15.17 | 1 | 2 | 3 | 31 | 0 | 0 | 0 | 0 | 1 | 1 | 34.62% | 26 | 0 | 0 | 0 | 0 | 1.03 | 0 | 0 | ||
| 3 | MacKenzie Entwistle | C | 27 | 8 | 11 | 19 | 6 | 14 | 0 | 67 | 73 | 24 | 55 | 10.96% | 7 | 19.28 | 2 | 1 | 3 | 77 | 0 | 0 | 0 | 75 | 2 | 0 | 60.59% | 741 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
| 4 | Declan Chisholm | D | 27 | 4 | 11 | 15 | 5 | 0 | 0 | 11 | 34 | 14 | 25 | 11.76% | 19 | 20.72 | 2 | 4 | 6 | 79 | 0 | 0 | 0 | 71 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
| 5 | Cole O'Hara | RW | 27 | 6 | 8 | 14 | 1 | 19 | 5 | 11 | 85 | 29 | 67 | 7.06% | 6 | 17.52 | 1 | 0 | 1 | 80 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 36 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
| 6 | Angus MacDonnell | C | 27 | 3 | 9 | 12 | -8 | 26 | 0 | 112 | 60 | 21 | 49 | 5.00% | 5 | 16.17 | 0 | 2 | 2 | 51 | 0 | 0 | 0 | 19 | 0 | 0 | 52.15% | 558 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
| 7 | 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 | ||
| 8 | Trevor Connelly | LW | 25 | 4 | 5 | 9 | -2 | 10 | 0 | 35 | 30 | 7 | 29 | 13.33% | 1 | 12.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 72.22% | 18 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
| 9 | Casey Fitzgerald | D | 27 | 1 | 7 | 8 | 8 | 43 | 5 | 73 | 31 | 7 | 22 | 3.23% | 37 | 19.78 | 0 | 1 | 1 | 76 | 0 | 0 | 0 | 57 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
| 10 | Isaak Phillips | D | 14 | 3 | 5 | 8 | 3 | 14 | 0 | 28 | 24 | 7 | 22 | 12.50% | 24 | 25.18 | 2 | 1 | 3 | 47 | 0 | 0 | 0 | 39 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
| 11 | Connor Kurth | C/LW/RW | 20 | 2 | 5 | 7 | 0 | 0 | 0 | 7 | 44 | 9 | 33 | 4.55% | 3 | 20.20 | 1 | 1 | 2 | 42 | 0 | 0 | 0 | 58 | 1 | 1 | 59.18% | 49 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 12 | Ronan Seeley | D | 20 | 4 | 2 | 6 | 4 | 2 | 0 | 4 | 23 | 5 | 4 | 17.39% | 17 | 11.34 | 1 | 2 | 3 | 32 | 0 | 0 | 0 | 24 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 13 | Jake Livingstone | D | 27 | 0 | 6 | 6 | -6 | 10 | 0 | 52 | 14 | 5 | 11 | 0.00% | 29 | 13.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
| 14 | Josh Jacobs | D | 27 | 2 | 3 | 5 | -6 | 18 | 0 | 33 | 15 | 7 | 12 | 13.33% | 17 | 14.71 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 29 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
| 15 | Dino Kambeitz | RW | 27 | 2 | 3 | 5 | -7 | 0 | 0 | 3 | 48 | 14 | 32 | 4.17% | 2 | 8.68 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 38.89% | 18 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
| 16 | Jalen Luypen | C | 27 | 3 | 2 | 5 | 2 | 0 | 0 | 9 | 18 | 3 | 17 | 16.67% | 2 | 4.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 31.58% | 76 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | ||
| 17 | Shawn Element | C | 16 | 0 | 3 | 3 | 0 | 14 | 0 | 4 | 25 | 13 | 23 | 0.00% | 4 | 13.31 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 0 | 0 | 38.79% | 214 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
| 18 | Luke Toporowski | LW | 16 | 2 | 1 | 3 | 2 | 0 | 0 | 1 | 28 | 14 | 32 | 7.14% | 6 | 18.05 | 0 | 0 | 0 | 46 | 0 | 0 | 0 | 31 | 1 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
| 19 | 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 | ||
| 20 | Patrick Guay | C/LW | 14 | 0 | 2 | 2 | 4 | 4 | 0 | 25 | 20 | 1 | 16 | 0.00% | 1 | 15.31 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 24 | 0 | 0 | 33.33% | 15 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
| 21 | Riley Stillman | D | 15 | 0 | 0 | 0 | 2 | 4 | 0 | 14 | 3 | 1 | 4 | 0.00% | 7 | 7.21 | 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 | 458 | 67 | 115 | 182 | 15 | 202 | 10 | 585 | 807 | 245 | 611 | 8.30% | 205 | 15.21 | 12 | 23 | 35 | 705 | 0 | 0 | 0 | 528 | 11 | 6 | 50.00% | 2202 | 0 | 0 | 0 | 0 | 0.52 | 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 | 24 | 12 | 11 | 1 | 0.910 | 2.70 | 1399 | 2 | 1 | 63 | 699 | 0 | 0 | 1 | 0.000 | 0 | 24 | 0 | 4 | 1 | 1 | |
| 2 | Cal Petersen | 2 | 0 | 0 | 0 | 0.966 | 0.91 | 66 | 0 | 0 | 1 | 29 | 0 | 0 | 0 | 0.000 | 0 | 0 | 27 | 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 | 29 | 12 | 14 | 1 | 0.905 | 2.74 | 1619 | 2 | 1 | 74 | 783 | 0 | 0 | 2 | 0.000 | 0 | 27 | 27 | 4 | 1 | 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$ | ||||||
| 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 29 | 19 | 22 | 1 | 43 | 287 | 278 | 315 | 2 | 17 | 6 | 6 | 19 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 25.0% | 4.7% | 82.4% | 87.0 | Unlucky | |
| 2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 29 | 19 | 22 | 1 | 69 | 287 | 278 | 315 | 2 | 72 | 24 | 16 | 63 | 5 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 58.3% | 10.1% | 88.9% | 99.0 | FUN | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 29 | 19 | 22 | 1 | 41 | 287 | 278 | 315 | 2 | 30 | 10 | 6 | 35 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 75.0% | 7.3% | 93.3% | 100.7 | DULL | |
| 4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 29 | 19 | 22 | 1 | 57 | 287 | 278 | 315 | 2 | 61 | 25 | 8 | 57 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 38.5% | 8.8% | 86.9% | 95.7 | Unlucky | |
| 5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 29 | 19 | 22 | 1 | 97 | 287 | 278 | 315 | 2 | 72 | 24 | 24 | 70 | 9 | 2 | 22.22% | 12 | 3 | 75.00% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 46.7% | 9.3% | 84.7% | 94.0 | FUN | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 29 | 19 | 22 | 1 | 30 | 287 | 278 | 315 | 2 | 36 | 9 | 12 | 16 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 40.0% | 10.0% | 86.1% | 96.1 | FUN | |
| 7 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 29 | 19 | 22 | 1 | 110 | 287 | 278 | 315 | 2 | 110 | 30 | 26 | 91 | 4 | 1 | 25.00% | 12 | 1 | 91.67% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 46.2% | 6.4% | 92.7% | 99.1 | DULL | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 29 | 19 | 22 | 1 | 14 | 287 | 278 | 315 | 2 | 46 | 10 | 12 | 28 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 50.0% | 14.3% | 93.5% | 107.8 | LUCKY | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 29 | 19 | 22 | 1 | 33 | 287 | 278 | 315 | 2 | 23 | 15 | 10 | 26 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 80.0% | 12.1% | 95.7% | 107.8 | LUCKY | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 29 | 19 | 22 | 1 | 30 | 287 | 278 | 315 | 2 | 21 | 7 | 17 | 20 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 100.0% | 10.0% | 95.2% | 105.2 | LUCKY | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 29 | 19 | 22 | 1 | 28 | 287 | 278 | 315 | 2 | 22 | 11 | 4 | 22 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 50.0% | 3.6% | 90.9% | 94.5 | Unlucky | |
| 12 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 4 | 0.500 | 8 | 13 | 21 | 0 | 0 | 29 | 19 | 22 | 1 | 126 | 287 | 278 | 315 | 2 | 110 | 37 | 34 | 92 | 14 | 1 | 7.14% | 15 | 4 | 73.33% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 58.3% | 6.3% | 91.8% | 98.2 | DULL | |
| 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 29 | 19 | 22 | 1 | 37 | 287 | 278 | 315 | 2 | 25 | 6 | 4 | 25 | 9 | 2 | 22.22% | 2 | 0 | 100.00% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 40.0% | 10.8% | 88.0% | 98.8 | FUN | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 29 | 19 | 22 | 1 | 35 | 287 | 278 | 315 | 2 | 27 | 5 | 10 | 28 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 60.0% | 8.6% | 92.6% | 101.2 | DULL | |
| 15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 1 | 29 | 19 | 22 | 1 | 50 | 287 | 278 | 315 | 2 | 53 | 11 | 14 | 39 | 9 | 1 | 11.11% | 7 | 2 | 71.43% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 75.0% | 8.0% | 94.3% | 102.3 | DULL | |
| 16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 1 | 0 | 29 | 19 | 22 | 1 | 82 | 287 | 278 | 315 | 2 | 60 | 23 | 25 | 49 | 9 | 4 | 44.44% | 5 | 0 | 100.00% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 22.2% | 7.3% | 88.3% | 95.7 | Unlucky | |
| _Vs Division | 13 | 6 | 9 | 0 | 1 | 0 | 0 | 0 | 30 | 35 | -5 | 14 | 0.538 | 30 | 53 | 83 | 0 | 0 | 29 | 19 | 22 | 1 | 416 | 287 | 278 | 315 | 2 | 390 | 122 | 106 | 338 | 35 | 4 | 11.43% | 50 | 11 | 78.00% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 52.0% | 7.2% | 91.0% | 98.2 | Unlucky | |
| _Vs Conference | 22 | 8 | 12 | 0 | 1 | 1 | 0 | 0 | 55 | 63 | -8 | 19 | 0.432 | 55 | 97 | 152 | 2 | 1 | 29 | 19 | 22 | 1 | 725 | 287 | 278 | 315 | 2 | 655 | 200 | 189 | 552 | 69 | 11 | 15.94% | 82 | 18 | 78.05% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 49.4% | 7.6% | 90.4% | 98.0 | Unlucky | |
| _Since Last GM Reset | 27 | 11 | 14 | 0 | 1 | 1 | 0 | 0 | 71 | 76 | -5 | 25 | 0.463 | 71 | 126 | 197 | 2 | 1 | 29 | 19 | 22 | 1 | 882 | 287 | 278 | 315 | 2 | 785 | 253 | 228 | 680 | 94 | 14 | 14.89% | 94 | 19 | 79.79% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 50.0% | 8.0% | 90.3% | 98.4 | Unlucky | |
| Total | 27 | 11 | 14 | 0 | 1 | 1 | 0 | 0 | 71 | 76 | -5 | 25 | 0.463 | 71 | 126 | 197 | 2 | 1 | 29 | 19 | 22 | 1 | 882 | 287 | 278 | 315 | 2 | 785 | 253 | 228 | 680 | 94 | 14 | 14.89% | 94 | 19 | 79.79% | 0 | 507 | 1036 | 48.94% | 452 | 885 | 51.07% | 220 | 428 | 51.40% | 649 | 438 | 618 | 202 | 356 | 181 | 50.0% | 8.0% | 90.3% | 98.4 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1036 |
| Neutral Zone Start | 428 |
| Defensive Zone Start | 885 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1179 |
| Faceoffs Lost | 1170 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.6 | 9.57 |
| 2nd Period | 20.9 | 20.31 |
| 3rd Period | 32.6 | 30.68 |
| Overtime | 32.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.6 | 2.67 |
| Overtime | 2.6 | 2.83 |
| Even Strenght Goal | 55 |
|---|---|
| PP Goal | 14 |
| PK Goal | 0 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 8 | 4 |
| Lost | 5 | 9 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 94 |
|---|---|
| PP Goal | 14 |
| PK Attempt | 94 |
| PK Goal Against | 19 |
| Home | |
|---|---|
| Shots For | 32.7 |
| Shots Against | 29.1 |
| Goals For | 2.6 |
| Goals Against | 2.8 |
| Hits | 25.2 |
| Shots Blocked | 9.4 |
| Pim | 8.4 |
| 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 | |||||||||||
| 2025-11-30 | @ | IceHogs2,Roadrunners3 | RECAP | |||||||||||
| 2025-12-01 | @ | Wranglers3,IceHogs2 (OT) | RECAP | |||||||||||
| 2025-12-05 | @ | Stars3,IceHogs1 | RECAP | |||||||||||
| 2025-12-08 | @ | IceHogs4,Americans1 | RECAP | |||||||||||
| 2025-12-12 | @ | Silver Knights0,IceHogs2 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,240,665$ | 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 |
| 22 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,240,665$ | 2,240,665$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,073,200$ | 12,448$ | 887,090$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 125 | 15,226$ | 1,720,538$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,720,538$ | 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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