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Full Scoreboard »» |
| Chicago Wolves 8-6-0, 16pts · 6th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Calum Ritchie (R) | 0 | C | 99.00 | 58 | 32 | 89 | 67 | 75 | 77 | 76 | 61 | 62 | 65 | 68 | 55 | 64 | 60 | 59 | 0 | 74 | 73 | 21 | 950,000$/2yrs | |||
Carl Grundstrom | 0 | LW/RW | 99.00 | 89 | 35 | 85 | 56 | 76 | 72 | 81 | 55 | 58 | 58 | 62 | 60 | 59 | 72 | 71 | 0 | 71 | 71 | 28 | 1,000,000$/1yrs | |||
Owen Pederson (R) | 0 | C/LW | 100.00 | 66 | 40 | 80 | 65 | 83 | 73 | 60 | 63 | 69 | 58 | 57 | 66 | 66 | 65 | 66 | 0 | 71 | 71 | 24 | 800,000$/1yrs | |||
Damien Giroux (R) | 0 | C | 100.00 | 63 | 38 | 86 | 54 | 68 | 64 | 66 | 63 | 41 | 55 | 54 | 66 | 55 | 66 | 65 | 0 | 72 | 68 | 26 | 775,000$/1yrs | |||
Zack Ostapchuk (R) | 0 | C | 100.00 | 81 | 46 | 73 | 55 | 83 | 71 | 83 | 53 | 78 | 55 | 56 | 64 | 54 | 62 | 60 | 0 | 72 | 68 | 22 | 825,000$/1yrs | |||
Jacob Melanson (R) | 0 | RW | 100.00 | 99 | 46 | 70 | 55 | 73 | 70 | 71 | 54 | 65 | 57 | 57 | 56 | 55 | 63 | 60 | 0 | 72 | 68 | 23 | 826,111$/1yrs | |||
Aleksanteri Kaskimaki (R) | 0 | C | 100.00 | 57 | 37 | 95 | 60 | 70 | 65 | 85 | 57 | 62 | 59 | 57 | 60 | 58 | 56 | 55 | 0 | 71 | 68 | 22 | 870,000$/2yrs | |||
Alexander Campbell | 0 | LW | 100.00 | 55 | 36 | 99 | 56 | 63 | 64 | 69 | 60 | 37 | 56 | 54 | 63 | 55 | 61 | 61 | 0 | 40 | 67 | 25 | 800,000$/2yrs | |||
Kasper Halttunen (R) | 0 | RW | 100.00 | 67 | 40 | 79 | 60 | 83 | 64 | 73 | 56 | 36 | 56 | 58 | 59 | 57 | 54 | 52 | 0 | 68 | 67 | 20 | 876,000$/3yrs | |||
Simon Robertsson (R) | 0 | C/LW/RW | 99.00 | 66 | 39 | 80 | 57 | 75 | 63 | 75 | 58 | 63 | 57 | 55 | 61 | 56 | 57 | 55 | 0 | 71 | 67 | 23 | 877,000$/2yrs | |||
James Malatesta (R) | 0 | LW | 100.00 | 86 | 42 | 50 | 56 | 71 | 63 | 81 | 58 | 64 | 54 | 55 | 61 | 55 | 57 | 52 | 0 | 71 | 66 | 22 | 841,667$/1yrs | |||
Erik Middendorf | 0 | LW | 100.00 | 60 | 38 | 91 | 51 | 77 | 61 | 69 | 62 | 49 | 50 | 51 | 65 | 51 | 62 | 62 | 0 | 38 | 65 | 25 | 800,000$/2yrs | |||
Conor Timmins | 67 | D | 99.00 | 65 | 33 | 84 | 56 | 80 | 84 | 82 | 57 | 30 | 63 | 54 | 72 | 56 | 71 | 69 | 0 | 71 | 73 | 27 | 1,200,000$/2yrs | |||
Cale Fleury | 0 | D | 99.00 | 80 | 40 | 93 | 55 | 80 | 80 | 71 | 52 | 30 | 57 | 54 | 69 | 53 | 70 | 70 | 0 | 71 | 71 | 27 | 1,000,000$/2yrs | |||
Nolan Allan (R) | 0 | D | 99.00 | 73 | 33 | 87 | 55 | 78 | 80 | 72 | 55 | 30 | 62 | 54 | 62 | 55 | 63 | 61 | 0 | 71 | 71 | 23 | 825,000$/1yrs | |||
Juuso Valimaki | 0 | D | 99.00 | 62 | 33 | 88 | 55 | 81 | 82 | 72 | 50 | 30 | 56 | 57 | 61 | 53 | 71 | 69 | 0 | 71 | 69 | 27 | 2,500,000$/3yrs | |||
Keaton Middleton | 0 | D | 100.00 | 76 | 46 | 75 | 55 | 98 | 74 | 72 | 50 | 30 | 56 | 50 | 62 | 50 | 72 | 69 | 0 | 46 | 69 | 28 | 800,000$/2yrs | |||
Shai Buium (R) | 0 | D | 100.00 | 62 | 39 | 88 | 54 | 84 | 63 | 81 | 51 | 30 | 60 | 51 | 62 | 55 | 57 | 56 | 0 | 40 | 68 | 23 | 925,000$/2yrs | |||
Adam Ginning (R) | 0 | D | 100.00 | 75 | 41 | 66 | 50 | 84 | 63 | 85 | 49 | 30 | 56 | 51 | 65 | 54 | 63 | 59 | 0 | 36 | 67 | 26 | 950,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Charles Hudon | 54 | LW/RW | 100.00 | 72 | 40 | 71 | 61 | 72 | 73 | 81 | 66 | 43 | 69 | 60 | 69 | 64 | 74 | 71 | 0 | 24 | 75 | 31 | 800,000$/1yrs | |||
Jordan Bellerive | 64 | C | 100.00 | 87 | 42 | 50 | 64 | 73 | 64 | 60 | 62 | 65 | 57 | 55 | 63 | 64 | 63 | 58 | 0 | 24 | 70 | 27 | 800,000$/1yrs | |||
Tim Gettinger | 63 | LW | 100.00 | 62 | 40 | 87 | 54 | 91 | 64 | 78 | 63 | 48 | 55 | 54 | 66 | 55 | 66 | 65 | 0 | 24 | 68 | 28 | 800,000$/1yrs | |||
Adam Raska | 0 | RW | 100.00 | 85 | 41 | 50 | 55 | 69 | 63 | 79 | 60 | 46 | 55 | 53 | 64 | 54 | 61 | 56 | 0 | 24 | 67 | 24 | 800,000$/1yrs | |||
Connor Clattenburg (R) | 0 | C | 100.00 | 99 | 49 | 50 | 55 | 80 | 60 | 69 | 57 | 62 | 52 | 52 | 60 | 52 | 54 | 49 | 0 | 24 | 66 | 21 | ||||
Mike O'Leary | 0 | LW | 100.00 | 73 | 40 | 69 | 54 | 77 | 65 | 88 | 63 | 76 | 48 | 46 | 66 | 55 | 66 | 63 | 0 | 23 | 65 | 28 | 800,000$/2yrs | |||
Filip Kral | 0 | D | 100.00 | 65 | 39 | 83 | 54 | 79 | 66 | 80 | 52 | 30 | 60 | 54 | 66 | 57 | 65 | 63 | 0 | 24 | 69 | 26 | 775,000$/1yrs | |||
Alex Gagne (R) | 0 | D | 100.00 | 77 | 42 | 62 | 53 | 90 | 63 | 71 | 51 | 30 | 59 | 51 | 63 | 55 | 59 | 55 | 0 | 24 | 68 | 23 | ||||
Jett Woo (R) | 0 | D | 100.00 | 88 | 43 | 50 | 51 | 79 | 63 | 82 | 49 | 30 | 57 | 51 | 65 | 54 | 63 | 58 | 0 | 24 | 67 | 25 | 800,000$/1yrs | |||
Matthew Kessel | 0 | D | 100.00 | 65 | 33 | 88 | 55 | 81 | 76 | 74 | 50 | 30 | 56 | 55 | 56 | 53 | 67 | 66 | 0 | 35 | 67 | 25 | 800,000$/1yrs | |||
Frederic Brunet (R) | 0 | D | 100.00 | 63 | 39 | 85 | 53 | 78 | 64 | 88 | 51 | 30 | 59 | 53 | 62 | 56 | 57 | 56 | 0 | 23 | 67 | 22 | 1,000,000$/2yrs | |||
Angus Booth (R) | 0 | D | 100.00 | 69 | 40 | 75 | 51 | 75 | 62 | 81 | 50 | 30 | 57 | 51 | 61 | 54 | 56 | 53 | 0 | 24 | 66 | 22 | 826,667$/2yrs | |||
Jackson Dorrington (R) | 0 | D | 100.00 | 77 | 41 | 62 | 49 | 77 | 61 | 74 | 48 | 30 | 55 | 51 | 61 | 53 | 55 | 52 | 0 | 24 | 65 | 22 | ||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Devon Levi | 0 | 99.00 | 72 | 79 | 70 | 72 | 77 | 77 | 72 | 72 | 77 | 77 | 74 | 62 | 63 | 0 | 78 | 77 | 24 | 1,100,000$/2yrs |
Zach Sawchenko | 0 | 100.00 | 67 | 69 | 67 | 74 | 71 | 75 | 69 | 67 | 75 | 73 | 70 | 69 | 69 | 0 | 75 | 75 | 28 | 1,000,000$/2yrs |
| Scratches | ||||||||||||||||||||
Mack Guzda | 0 | 100.00 | 74 | 73 | 71 | 89 | 61 | 76 | 74 | 74 | 76 | 76 | 74 | 62 | 62 | 0 | 28 | 77 | 25 | |
Henrik Tikkanen | 0 | 100.00 | 66 | 70 | 65 | 94 | 45 | 73 | 66 | 66 | 73 | 72 | 68 | 63 | 63 | 0 | 53 | 73 | 25 | 850,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bob Hartley | 64 | 62 | 67 | 70 | 89 | 78 | 59 | CAN | 64 | 4 | 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 | Damien Giroux | C | 14 | 3 | 9 | 12 | 0 | 11 | 5 | 20 | 33 | 13 | 23 | 9.09% | 2 | 18.17 | 0 | 2 | 2 | 34 | 0 | 0 | 0 | 28 | 1 | 0 | 35.73% | 347 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 | ||
| 2 | Cale Fleury | D | 14 | 2 | 8 | 10 | 7 | 22 | 0 | 42 | 14 | 6 | 7 | 14.29% | 25 | 23.83 | 1 | 0 | 1 | 38 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | ||
| 3 | Conor Timmins | D | 14 | 0 | 10 | 10 | 8 | 8 | 0 | 17 | 28 | 11 | 15 | 0.00% | 22 | 24.43 | 0 | 2 | 2 | 38 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 4 | Simon Robertsson | C/LW/RW | 14 | 5 | 5 | 10 | 1 | 6 | 0 | 37 | 37 | 9 | 35 | 13.51% | 2 | 19.67 | 1 | 0 | 1 | 34 | 0 | 0 | 0 | 0 | 0 | 1 | 47.83% | 69 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
| 5 | Alexander Campbell | LW | 14 | 5 | 4 | 9 | 0 | 0 | 0 | 7 | 36 | 15 | 25 | 13.89% | 3 | 18.26 | 0 | 1 | 1 | 34 | 0 | 0 | 0 | 30 | 1 | 0 | 27.27% | 11 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 6 | James Malatesta | LW | 14 | 3 | 5 | 8 | 2 | 12 | 0 | 58 | 27 | 10 | 13 | 11.11% | 3 | 14.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | ||
| 7 | Calum Ritchie | C | 14 | 4 | 4 | 8 | 4 | 0 | 0 | 0 | 47 | 7 | 38 | 8.51% | 5 | 22.16 | 1 | 0 | 1 | 37 | 0 | 0 | 0 | 59 | 1 | 0 | 46.25% | 467 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
| 8 | Aleksanteri Kaskimaki | C | 14 | 4 | 4 | 8 | 3 | 0 | 0 | 2 | 31 | 7 | 20 | 12.90% | 1 | 15.97 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 15 | 1 | 1 | 47.18% | 248 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
| 9 | Nolan Allan | D | 14 | 1 | 5 | 6 | -3 | 12 | 0 | 38 | 18 | 6 | 6 | 5.56% | 13 | 21.65 | 1 | 0 | 1 | 34 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 10 | Jacob Melanson | RW | 14 | 4 | 2 | 6 | 4 | 22 | 0 | 54 | 26 | 7 | 12 | 15.38% | 0 | 21.38 | 0 | 1 | 1 | 36 | 0 | 0 | 0 | 0 | 1 | 0 | 45.00% | 20 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 11 | Kasper Halttunen | RW | 14 | 3 | 3 | 6 | 2 | 4 | 0 | 3 | 34 | 12 | 16 | 8.82% | 4 | 14.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 47.37% | 19 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
| 12 | Carl Grundstrom | LW/RW | 14 | 1 | 4 | 5 | 3 | 12 | 0 | 24 | 45 | 14 | 33 | 2.22% | 3 | 22.10 | 0 | 1 | 1 | 37 | 0 | 0 | 0 | 49 | 1 | 0 | 48.28% | 29 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
| 13 | Shai Buium | D | 14 | 2 | 1 | 3 | 1 | 0 | 0 | 10 | 7 | 2 | 5 | 28.57% | 8 | 13.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 14 | Juuso Valimaki | D | 14 | 0 | 2 | 2 | -2 | 8 | 0 | 12 | 11 | 6 | 11 | 0.00% | 17 | 22.20 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | ||
| 15 | Keaton Middleton | D | 14 | 0 | 1 | 1 | 1 | 6 | 0 | 34 | 1 | 3 | 1 | 0.00% | 15 | 14.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | ||
| 16 | Owen Pederson | C/LW | 14 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 15 | 2 | 6 | 6.67% | 3 | 5.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 4 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
| 17 | Adam Ginning | D | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 18 | Zack Ostapchuk | C | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 19 | Erik Middendorf | LW | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 266 | 38 | 67 | 105 | 31 | 123 | 5 | 359 | 412 | 130 | 266 | 9.22% | 126 | 15.46 | 4 | 7 | 11 | 366 | 0 | 0 | 0 | 384 | 8 | 3 | 43.43% | 1225 | 0 | 0 | 0 | 0 | 0.51 | 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 | Devon Levi | 14 | 8 | 6 | 0 | 0.931 | 2.27 | 818 | 0 | 2 | 31 | 451 | 0 | 1 | 0 | 0.000 | 0 | 14 | 0 | 3 | 1 | 0 | |
| 2 | Zach Sawchenko | 1 | 0 | 0 | 0 | 0.867 | 5.00 | 24 | 0 | 0 | 2 | 15 | 0 | 0 | 0 | 0.000 | 0 | 0 | 14 | 0 | 0 | 0 | |
| Team Total or Average | 15 | 8 | 6 | 0 | 0.929 | 2.35 | 843 | 0 | 2 | 33 | 466 | 0 | 1 | 0 | 0.000 | 0 | 14 | 14 | 3 | 1 | 0 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Ginning | D | 26 | 950,000$ | 950,000$ | |||||||
| Adam Raska | RW | 24 | 800,000$ | 800,000$ | |||||||
| Aleksanteri Kaskimaki | C | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Alex Gagne | D | 23 | 0$ | RFA | |||||||
| Alexander Campbell | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Angus Booth | D | 22 | 826,667$ | 826,667$ | 826,667$ | RFA | |||||
| Cale Fleury | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Calum Ritchie | C | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
| Carl Grundstrom | LW/RW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Charles Hudon | LW/RW | 31 | 800,000$ | 800,000$ | UFA | ||||||
| Connor Clattenburg | C | 21 | 0$ | RFA | |||||||
| Conor Timmins | D | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
| Damien Giroux | C | 26 | 775,000$ | 775,000$ | |||||||
| Devon Levi | G | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
| Erik Middendorf | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Filip Kral | D | 26 | 775,000$ | 775,000$ | |||||||
| Frederic Brunet | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| Henrik Tikkanen | G | 25 | 850,000$ | 850,000$ | |||||||
| Jackson Dorrington | D | 22 | 0$ | RFA | |||||||
| Jacob Melanson | RW | 23 | 826,111$ | 826,111$ | RFA | ||||||
| James Malatesta | LW | 22 | 841,667$ | 841,667$ | RFA | ||||||
| Jett Woo | D | 25 | 800,000$ | 800,000$ | |||||||
| Jordan Bellerive | C | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Juuso Valimaki | D | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
| Kasper Halttunen | RW | 20 | 876,000$ | 876,000$ | 876,000$ | 876,000$ | RFA | ||||
| Keaton Middleton | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Mack Guzda | G | 25 | 0$ | ||||||||
| Matthew Kessel | D | 25 | 800,000$ | 800,000$ | |||||||
| Matthew Kessel | D | 25 | 800,000$ | 800,000$ | |||||||
| Mike O'Leary | LW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Nolan Allan | D | 23 | 825,000$ | 825,000$ | RFA | ||||||
| Owen Pederson | C/LW | 24 | 800,000$ | 800,000$ | |||||||
| Shai Buium | D | 23 | 925,000$ | 925,000$ | 925,000$ | ||||||
| Simon Robertsson | C/LW/RW | 23 | 877,000$ | 877,000$ | 877,000$ | ||||||
| Tim Gettinger | LW | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Zach Sawchenko | G | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Zack Ostapchuk | C | 22 | 825,000$ | 825,000$ | 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 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 16 | 2 | 8 | 0.571 | 18 | 30 | 48 | 0 | 2 | 15 | 7 | 15 | 1 | 191 | 142 | 137 | 131 | 2 | 220 | 58 | 57 | 185 | 24 | 1 | 4.17% | 24 | 2 | 91.67% | 0 | 217 | 482 | 45.02% | 223 | 527 | 42.31% | 92 | 216 | 42.59% | 322 | 213 | 336 | 109 | 185 | 92 | 54.8% | 9.4% | 92.7% | 102.2 | LUCKY | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 15 | 7 | 15 | 1 | 26 | 142 | 137 | 131 | 2 | 23 | 7 | 14 | 26 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 217 | 482 | 45.02% | 223 | 527 | 42.31% | 92 | 216 | 42.59% | 322 | 213 | 336 | 109 | 185 | 92 | 33.3% | 3.8% | 91.3% | 95.2 | DULL | |
| 3 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 15 | 4 | 8 | 0.667 | 19 | 35 | 54 | 0 | 0 | 15 | 7 | 15 | 1 | 195 | 142 | 137 | 131 | 2 | 223 | 61 | 52 | 148 | 18 | 3 | 16.67% | 26 | 3 | 88.46% | 0 | 217 | 482 | 45.02% | 223 | 527 | 42.31% | 92 | 216 | 42.59% | 322 | 213 | 336 | 109 | 185 | 92 | 57.1% | 9.7% | 93.3% | 103.0 | LUCKY | |
| _Vs Division | 7 | 8 | 5 | 0 | 0 | 0 | 0 | 0 | 18 | 16 | 2 | 16 | 1.143 | 18 | 30 | 48 | 0 | 2 | 15 | 7 | 15 | 1 | 191 | 142 | 137 | 131 | 2 | 220 | 58 | 57 | 185 | 24 | 1 | 4.17% | 24 | 2 | 91.67% | 0 | 217 | 482 | 45.02% | 223 | 527 | 42.31% | 92 | 216 | 42.59% | 322 | 213 | 336 | 109 | 185 | 92 | 54.8% | 9.4% | 92.7% | 102.2 | LUCKY | |
| _Vs Conference | 14 | 8 | 6 | 0 | 0 | 0 | 0 | 0 | 38 | 33 | 5 | 16 | 0.571 | 38 | 67 | 105 | 0 | 2 | 15 | 7 | 15 | 1 | 412 | 142 | 137 | 131 | 2 | 466 | 126 | 123 | 359 | 44 | 4 | 9.09% | 56 | 5 | 91.07% | 0 | 217 | 482 | 45.02% | 223 | 527 | 42.31% | 92 | 216 | 42.59% | 322 | 213 | 336 | 109 | 185 | 92 | 54.8% | 9.2% | 92.9% | 102.1 | LUCKY | |
| _Since Last GM Reset | 14 | 8 | 6 | 0 | 0 | 0 | 0 | 0 | 38 | 33 | 5 | 16 | 0.571 | 38 | 67 | 105 | 0 | 2 | 15 | 7 | 15 | 1 | 412 | 142 | 137 | 131 | 2 | 466 | 126 | 123 | 359 | 44 | 4 | 9.09% | 56 | 5 | 91.07% | 0 | 217 | 482 | 45.02% | 223 | 527 | 42.31% | 92 | 216 | 42.59% | 322 | 213 | 336 | 109 | 185 | 92 | 54.8% | 9.2% | 92.9% | 102.1 | LUCKY | |
| Total | 14 | 8 | 6 | 0 | 0 | 0 | 0 | 0 | 38 | 33 | 5 | 16 | 0.571 | 38 | 67 | 105 | 0 | 2 | 15 | 7 | 15 | 1 | 412 | 142 | 137 | 131 | 2 | 466 | 126 | 123 | 359 | 44 | 4 | 9.09% | 56 | 5 | 91.07% | 0 | 217 | 482 | 45.02% | 223 | 527 | 42.31% | 92 | 216 | 42.59% | 322 | 213 | 336 | 109 | 185 | 92 | 54.8% | 9.2% | 92.9% | 102.1 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 482 |
| Neutral Zone Start | 216 |
| Defensive Zone Start | 527 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 532 |
| Faceoffs Lost | 693 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.1 | 9.57 |
| 2nd Period | 19.9 | 20.31 |
| 3rd Period | 29.3 | 30.68 |
| Overtime | 29.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 1.6 | 1.65 |
| 3rd Period | 2.6 | 2.67 |
| Overtime | 2.7 | 2.83 |
| Even Strenght Goal | 34 |
|---|---|
| PP Goal | 4 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 3 | 5 |
| Lost | 3 | 3 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 44 |
|---|---|
| PP Goal | 4 |
| PK Attempt | 56 |
| PK Goal Against | 5 |
| Home | |
|---|---|
| Shots For | 29.4 |
| Shots Against | 33.3 |
| Goals For | 2.7 |
| Goals Against | 2.4 |
| Hits | 25.6 |
| Shots Blocked | 9.0 |
| Pim | 8.8 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-04-21 | @ | Wolves3,Firebirds2 (OT) | RECAP | |||||||||||
| 2026-04-23 | @ | Wolves0,Firebirds3 | RECAP | |||||||||||
| 2026-04-25 | @ | Firebirds4,Wolves3 | RECAP | |||||||||||
| 2026-04-27 | @ | Firebirds2,Wolves6 | RECAP | |||||||||||
| 2026-04-29 | @ | Wolves3,Firebirds2 | RECAP | |||||||||||
| 2026-05-01 | @ | Firebirds2,Wolves4 | RECAP | |||||||||||
| 2026-05-05 | @ | Wolves4,Wild0 | RECAP | |||||||||||
| 2026-05-07 | @ | Wolves2,Wild0 | RECAP | |||||||||||
| 2026-05-09 | @ | Wild3,Wolves1 | RECAP | |||||||||||
| 2026-05-11 | @ | Wild2,Wolves4 | RECAP | |||||||||||
| 2026-05-13 | @ | Wolves3,Wild4 | RECAP | |||||||||||
| 2026-05-15 | @ | Wild6,Wolves2 | RECAP | |||||||||||
| 2026-05-17 | @ | Wolves2,Wild1 | RECAP | |||||||||||
| 2026-05-19 | @ | Wolves1,Barracuda2 | RECAP | |||||||||||
| 2026-05-21 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-05-23 | @ | |||||||||||||
| 2026-05-25 | @ | |||||||||||||
| 2026-05-27 | @ | |||||||||||||
| 2026-05-29 | @ | |||||||||||||
| 2026-05-31 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,959,245$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Chicago | |
| 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 |
| 30 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,959,245$ | 2,959,245$ | 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$ | 12 | 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 |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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