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Full Scoreboard »» |
| Chicago Wolves 21-18-3, 45pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Carl Grundstrom | 0 | LW/RW | 98.00 | 89 | 33 | 84 | 56 | 76 | 72 | 79 | 56 | 59 | 58 | 63 | 58 | 59 | 72 | 70 | 0 | 53 | 71 | 28 | 1,000,000$/1yrs | |||
Owen Pederson (R) | 0 | C/LW | 100.00 | 66 | 40 | 80 | 65 | 83 | 73 | 60 | 63 | 69 | 58 | 57 | 66 | 66 | 65 | 66 | 0 | 52 | 71 | 23 | 800,000$/1yrs | |||
Brett Berard (R) | 0 | LW | 97.00 | 74 | 32 | 89 | 60 | 65 | 73 | 75 | 56 | 59 | 57 | 63 | 60 | 59 | 63 | 62 | 0 | 53 | 70 | 23 | 821,250$/1yrs | |||
Calum Ritchie (R) | 0 | C | 100.00 | 59 | 32 | 88 | 62 | 75 | 75 | 72 | 56 | 74 | 59 | 64 | 55 | 60 | 59 | 58 | 0 | 56 | 70 | 20 | 950,000$/2yrs | |||
Damien Giroux (R) | 0 | C | 100.00 | 63 | 38 | 86 | 54 | 68 | 64 | 66 | 63 | 41 | 55 | 54 | 66 | 55 | 66 | 65 | 0 | 53 | 68 | 25 | 775,000$/1yrs | |||
Jacob Melanson (R) | 0 | RW | 100.00 | 78 | 41 | 61 | 58 | 80 | 64 | 81 | 58 | 49 | 55 | 58 | 61 | 56 | 57 | 54 | 0 | 54 | 68 | 22 | 826,111$/1yrs | |||
Aleksanteri Kaskimaki (R) | 0 | C | 100.00 | 57 | 37 | 95 | 60 | 70 | 65 | 85 | 57 | 62 | 59 | 57 | 60 | 58 | 56 | 55 | 0 | 53 | 68 | 21 | 870,000$/2yrs | |||
Alexander Campbell | 0 | LW | 100.00 | 55 | 36 | 99 | 56 | 63 | 64 | 69 | 60 | 37 | 56 | 54 | 63 | 55 | 61 | 61 | 0 | 18 | 67 | 24 | 800,000$/2yrs | |||
Kasper Halttunen (R) | 0 | RW | 100.00 | 67 | 40 | 79 | 60 | 83 | 64 | 73 | 56 | 36 | 56 | 58 | 59 | 57 | 54 | 52 | 0 | 50 | 67 | 20 | 876,000$/3yrs | |||
Simon Robertsson (R) | 0 | C/LW/RW | 100.00 | 66 | 39 | 80 | 57 | 75 | 63 | 75 | 58 | 63 | 57 | 55 | 61 | 56 | 57 | 55 | 0 | 53 | 67 | 22 | 877,000$/2yrs | |||
James Malatesta (R) | 0 | LW | 100.00 | 86 | 42 | 50 | 56 | 71 | 63 | 81 | 58 | 64 | 54 | 55 | 61 | 55 | 57 | 52 | 0 | 53 | 66 | 22 | 841,667$/1yrs | |||
Zack Ostapchuk (R) | 0 | C | 100.00 | 81 | 44 | 78 | 55 | 83 | 70 | 80 | 52 | 77 | 55 | 54 | 59 | 53 | 62 | 60 | 0 | 54 | 66 | 22 | 825,000$/1yrs | |||
Conor Timmins | 67 | D | 99.00 | 65 | 33 | 84 | 55 | 80 | 84 | 86 | 57 | 30 | 62 | 55 | 71 | 56 | 70 | 69 | 0 | 53 | 73 | 27 | 1,200,000$/2yrs | |||
Cale Fleury | 0 | D | 100.00 | 78 | 45 | 91 | 55 | 80 | 78 | 69 | 54 | 30 | 58 | 50 | 69 | 52 | 70 | 69 | 0 | 53 | 71 | 27 | 1,000,000$/2yrs | |||
Nolan Allan (R) | 0 | D | 100.00 | 73 | 33 | 87 | 55 | 78 | 80 | 74 | 55 | 30 | 62 | 54 | 62 | 55 | 62 | 61 | 0 | 53 | 71 | 22 | 825,000$/1yrs | |||
Juuso Valimaki | 0 | D | 98.00 | 62 | 33 | 88 | 55 | 81 | 82 | 74 | 50 | 30 | 56 | 57 | 61 | 53 | 70 | 69 | 0 | 53 | 69 | 27 | 2,500,000$/3yrs | |||
Keaton Middleton | 0 | D | 100.00 | 76 | 47 | 76 | 55 | 98 | 74 | 74 | 50 | 30 | 55 | 50 | 63 | 50 | 71 | 69 | 0 | 29 | 69 | 27 | 800,000$/2yrs | |||
Shai Buium (R) | 0 | D | 100.00 | 62 | 39 | 88 | 54 | 84 | 63 | 81 | 51 | 30 | 60 | 51 | 62 | 55 | 57 | 56 | 0 | 18 | 68 | 22 | 925,000$/2yrs | |||
Jett Woo (R) | 0 | D | 100.00 | 88 | 43 | 50 | 51 | 79 | 63 | 82 | 49 | 30 | 57 | 51 | 65 | 54 | 63 | 58 | 0 | 29 | 67 | 25 | 800,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Charles Hudon | 54 | LW/RW | 100.00 | 72 | 40 | 71 | 61 | 72 | 73 | 81 | 66 | 43 | 69 | 60 | 69 | 64 | 74 | 71 | 0 | 20 | 75 | 31 | 800,000$/1yrs | |||
Jordan Bellerive | 64 | C | 100.00 | 87 | 42 | 50 | 64 | 73 | 64 | 60 | 62 | 65 | 57 | 55 | 63 | 64 | 63 | 58 | 0 | 20 | 70 | 26 | 800,000$/1yrs | |||
Tim Gettinger | 63 | LW | 100.00 | 62 | 40 | 87 | 54 | 91 | 64 | 78 | 63 | 48 | 55 | 54 | 66 | 55 | 66 | 65 | 0 | 20 | 68 | 27 | 800,000$/1yrs | |||
Adam Raska | 0 | RW | 100.00 | 85 | 41 | 50 | 55 | 69 | 63 | 79 | 60 | 46 | 55 | 53 | 64 | 54 | 61 | 56 | 0 | 20 | 67 | 24 | 800,000$/1yrs | |||
Connor Clattenburg (R) | 0 | C | 100.00 | 99 | 49 | 50 | 55 | 80 | 60 | 69 | 57 | 62 | 52 | 52 | 60 | 52 | 54 | 49 | 0 | 34 | 66 | 20 | ||||
Mike O'Leary | 0 | LW | 100.00 | 73 | 40 | 69 | 54 | 77 | 65 | 88 | 63 | 76 | 48 | 46 | 66 | 55 | 66 | 63 | 0 | 35 | 65 | 28 | 800,000$/2yrs | |||
Erik Middendorf | 0 | LW | 100.00 | 60 | 38 | 91 | 51 | 77 | 61 | 69 | 62 | 49 | 50 | 51 | 65 | 51 | 62 | 62 | 0 | 20 | 65 | 25 | 800,000$/2yrs | |||
Filip Kral | 0 | D | 100.00 | 65 | 39 | 83 | 54 | 79 | 66 | 80 | 52 | 30 | 60 | 54 | 66 | 57 | 65 | 63 | 0 | 20 | 69 | 26 | 775,000$/1yrs | |||
Alex Gagne (R) | 0 | D | 100.00 | 77 | 42 | 62 | 53 | 90 | 63 | 71 | 51 | 30 | 59 | 51 | 63 | 55 | 59 | 55 | 0 | 34 | 68 | 23 | ||||
Matthew Kessel | 0 | D | 100.00 | 62 | 33 | 89 | 55 | 81 | 76 | 75 | 50 | 30 | 56 | 56 | 54 | 53 | 67 | 66 | 0 | 54 | 67 | 25 | 800,000$/1yrs | |||
Adam Ginning (R) | 0 | D | 100.00 | 75 | 41 | 66 | 50 | 84 | 63 | 85 | 49 | 30 | 56 | 51 | 65 | 54 | 63 | 59 | 0 | 27 | 67 | 26 | 950,000$/1yrs | |||
Frederic Brunet (R) | 0 | D | 100.00 | 63 | 39 | 85 | 53 | 78 | 64 | 88 | 51 | 30 | 59 | 53 | 62 | 56 | 57 | 56 | 0 | 20 | 67 | 22 | 1,000,000$/2yrs | |||
Angus Booth (R) | 0 | D | 100.00 | 69 | 40 | 75 | 51 | 75 | 62 | 81 | 50 | 30 | 57 | 51 | 61 | 54 | 56 | 53 | 0 | 20 | 66 | 21 | 826,667$/2yrs | |||
Jackson Dorrington (R) | 0 | D | 100.00 | 77 | 41 | 62 | 49 | 77 | 61 | 74 | 48 | 30 | 55 | 51 | 61 | 53 | 55 | 52 | 0 | 34 | 65 | 21 | ||||
| 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 | 97.00 | 72 | 79 | 70 | 72 | 77 | 77 | 72 | 72 | 77 | 77 | 74 | 62 | 63 | 0 | 69 | 77 | 24 | 1,100,000$/2yrs |
Zach Sawchenko | 0 | 100.00 | 67 | 69 | 67 | 74 | 71 | 75 | 69 | 67 | 75 | 73 | 70 | 69 | 69 | 0 | 47 | 75 | 28 | 1,000,000$/2yrs |
| Scratches | ||||||||||||||||||||
Mack Guzda | 0 | 100.00 | 74 | 73 | 71 | 89 | 61 | 76 | 74 | 74 | 76 | 76 | 74 | 62 | 62 | 0 | 20 | 77 | 25 | |
Henrik Tikkanen | 0 | 100.00 | 66 | 70 | 65 | 94 | 45 | 73 | 66 | 66 | 73 | 72 | 68 | 63 | 63 | 0 | 60 | 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 | Conor Timmins | D | 42 | 5 | 28 | 33 | -6 | 54 | 0 | 89 | 81 | 21 | 46 | 6.17% | 77 | 24.82 | 4 | 7 | 11 | 130 | 0 | 1 | 1 | 143 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
| 2 | Kasper Halttunen | RW | 42 | 17 | 11 | 28 | 2 | 33 | 5 | 101 | 110 | 32 | 91 | 15.45% | 9 | 17.94 | 3 | 4 | 7 | 119 | 0 | 0 | 0 | 14 | 4 | 2 | 43.94% | 66 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
| 3 | Calum Ritchie | C | 42 | 9 | 17 | 26 | -3 | 5 | 5 | 17 | 125 | 33 | 97 | 7.20% | 5 | 18.95 | 3 | 6 | 9 | 123 | 1 | 0 | 1 | 53 | 0 | 1 | 53.68% | 829 | 0 | 0 | 0 | 0 | 0.65 | 0 | 1 | ||
| 4 | Cale Fleury | D | 42 | 3 | 22 | 25 | 7 | 38 | 0 | 72 | 54 | 21 | 34 | 5.56% | 54 | 21.21 | 1 | 7 | 8 | 115 | 0 | 0 | 0 | 135 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
| 5 | Simon Robertsson | C/LW/RW | 42 | 9 | 14 | 23 | -1 | 4 | 0 | 26 | 116 | 36 | 78 | 7.76% | 3 | 16.85 | 1 | 4 | 5 | 70 | 0 | 0 | 0 | 33 | 2 | 0 | 47.27% | 55 | 0 | 0 | 0 | 1 | 0.65 | 0 | 0 | ||
| 6 | Nolan Allan | D | 42 | 6 | 16 | 22 | 6 | 16 | 0 | 66 | 52 | 21 | 45 | 11.54% | 43 | 21.00 | 5 | 3 | 8 | 115 | 0 | 0 | 0 | 129 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
| 7 | Owen Pederson | C/LW | 42 | 9 | 12 | 21 | -2 | 14 | 0 | 26 | 114 | 39 | 62 | 7.89% | 10 | 15.70 | 0 | 3 | 3 | 52 | 0 | 0 | 0 | 77 | 0 | 0 | 55.02% | 538 | 0 | 0 | 0 | 0 | 0.64 | 1 | 2 | ||
| 8 | Carl Grundstrom | LW/RW | 42 | 12 | 8 | 20 | 2 | 26 | 0 | 118 | 95 | 31 | 59 | 12.63% | 12 | 18.86 | 4 | 3 | 7 | 123 | 0 | 0 | 0 | 82 | 2 | 0 | 52.76% | 127 | 0 | 0 | 0 | 0 | 0.50 | 1 | 2 | ||
| 9 | James Malatesta | LW | 42 | 10 | 10 | 20 | 5 | 44 | 0 | 101 | 85 | 19 | 75 | 11.76% | 9 | 16.25 | 0 | 2 | 2 | 48 | 0 | 0 | 0 | 62 | 4 | 1 | 40.35% | 57 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
| 10 | Juuso Valimaki | D | 42 | 4 | 13 | 17 | -4 | 28 | 0 | 72 | 51 | 24 | 41 | 7.84% | 54 | 24.65 | 2 | 5 | 7 | 130 | 0 | 0 | 0 | 138 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 11 | Damien Giroux | C | 42 | 6 | 9 | 15 | -3 | 2 | 0 | 20 | 77 | 27 | 54 | 7.79% | 10 | 14.20 | 1 | 2 | 3 | 52 | 0 | 0 | 0 | 79 | 1 | 0 | 38.75% | 671 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
| 12 | Jacob Melanson | RW | 42 | 6 | 6 | 12 | -4 | 31 | 5 | 61 | 69 | 20 | 44 | 8.70% | 3 | 11.63 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 36.11% | 36 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
| 13 | Brett Berard | LW | 26 | 1 | 9 | 10 | 1 | 14 | 0 | 28 | 59 | 10 | 33 | 1.69% | 4 | 18.49 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 61 | 0 | 0 | 55.84% | 154 | 0 | 0 | 0 | 0 | 0.42 | 1 | 2 | ||
| 14 | Zack Ostapchuk | C | 42 | 2 | 5 | 7 | -1 | 5 | 5 | 25 | 29 | 12 | 23 | 6.90% | 3 | 8.76 | 2 | 2 | 4 | 60 | 0 | 0 | 0 | 1 | 0 | 0 | 61.32% | 486 | 0 | 0 | 0 | 0 | 0.38 | 0 | 1 | ||
| 15 | Aleksanteri Kaskimaki | C | 42 | 4 | 3 | 7 | -5 | 2 | 0 | 11 | 44 | 10 | 37 | 9.09% | 2 | 8.30 | 0 | 1 | 1 | 17 | 0 | 0 | 0 | 39 | 0 | 0 | 43.17% | 227 | 0 | 0 | 0 | 0 | 0.40 | 0 | 2 | ||
| 16 | Shai Buium | D | 21 | 0 | 7 | 7 | -5 | 14 | 0 | 26 | 13 | 5 | 10 | 0.00% | 23 | 13.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
| 17 | Matthew Kessel | D | 39 | 0 | 4 | 4 | -9 | 30 | 0 | 42 | 26 | 3 | 16 | 0.00% | 32 | 14.30 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | ||
| 18 | Mike O'Leary | LW | 21 | 2 | 2 | 4 | -1 | 0 | 0 | 14 | 20 | 3 | 14 | 10.00% | 2 | 5.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 77.78% | 9 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
| 19 | Keaton Middleton | D | 18 | 0 | 3 | 3 | 0 | 16 | 0 | 48 | 10 | 4 | 6 | 0.00% | 14 | 14.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
| 20 | Adam Ginning | D | 24 | 1 | 1 | 2 | -1 | 10 | 0 | 18 | 5 | 2 | 1 | 20.00% | 5 | 3.74 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
| 21 | Jett Woo | D | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 22 | Alexander Campbell | LW | 3 | 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 | 758 | 106 | 200 | 306 | -22 | 386 | 20 | 981 | 1235 | 373 | 866 | 8.58% | 376 | 15.63 | 26 | 49 | 75 | 1186 | 1 | 1 | 2 | 1110 | 18 | 6 | 50.63% | 3255 | 0 | 0 | 0 | 1 | 0.52 | 3 | 10 |
| 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 | Zach Sawchenko | 23 | 11 | 10 | 1 | 0.916 | 2.61 | 1263 | 2 | 1 | 55 | 657 | 0 | 3 | 0 | 0.800 | 10 | 21 | 21 | 2 | 1 | 2 | |
| 2 | Henrik Tikkanen | 21 | 10 | 6 | 2 | 0.906 | 3.12 | 1133 | 4 | 0 | 59 | 628 | 0 | 1 | 0 | 1.000 | 3 | 18 | 21 | 1 | 0 | 2 | |
| 3 | Devon Levi | 4 | 1 | 2 | 0 | 0.925 | 2.55 | 212 | 0 | 0 | 9 | 120 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 2 | 0 | 0 | |
| Team Total or Average | 48 | 22 | 18 | 3 | 0.912 | 2.83 | 2609 | 6 | 1 | 123 | 1405 | 0 | 4 | 0 | 0.846 | 13 | 43 | 42 | 5 | 1 | 4 |
| 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 | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Alex Gagne | D | 23 | 0$ | RFA | |||||||
| Alexander Campbell | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Angus Booth | D | 21 | 826,667$ | 826,667$ | 826,667$ | RFA | |||||
| Brett Berard | LW | 23 | 821,250$ | 775,000$ | RFA | ||||||
| Cale Fleury | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Calum Ritchie | C | 20 | 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 | 20 | 0$ | RFA | |||||||
| Conor Timmins | D | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
| Damien Giroux | C | 25 | 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 | 21 | 0$ | RFA | |||||||
| Jacob Melanson | RW | 22 | 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 | 26 | 800,000$ | 800,000$ | |||||||
| 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 | 27 | 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 | 22 | 825,000$ | 825,000$ | RFA | ||||||
| Owen Pederson | C/LW | 23 | 800,000$ | 800,000$ | RFA | ||||||
| Shai Buium | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
| Simon Robertsson | C/LW/RW | 22 | 877,000$ | 877,000$ | 877,000$ | RFA | |||||
| Tim Gettinger | LW | 27 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 44 | 37 | 29 | 8 | 27 | 390 | 408 | 489 | 40 | 29 | 15 | 2 | 28 | 8 | 1 | 12.50% | 1 | 0 | 100.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 50.0% | 14.8% | 89.7% | 104.5 | FUN | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 44 | 37 | 29 | 8 | 22 | 390 | 408 | 489 | 40 | 44 | 7 | 10 | 26 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | nan% | 4.5% | 95.5% | 100.0 | DULL | |
| 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 44 | 37 | 29 | 8 | 53 | 390 | 408 | 489 | 40 | 60 | 18 | 8 | 48 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 16.7% | 3.8% | 91.7% | 95.4 | DULL | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 44 | 37 | 29 | 8 | 18 | 390 | 408 | 489 | 40 | 31 | 7 | 12 | 23 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 0.0% | 0.0% | 90.3% | 90.3 | Unlucky | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 44 | 37 | 29 | 8 | 23 | 390 | 408 | 489 | 40 | 45 | 18 | 14 | 30 | 4 | 1 | 25.00% | 7 | 2 | 71.43% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 33.3% | 13.0% | 86.7% | 99.7 | FUN | |
| 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 44 | 37 | 29 | 8 | 52 | 390 | 408 | 489 | 40 | 58 | 19 | 20 | 37 | 12 | 1 | 8.33% | 10 | 1 | 90.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 33.3% | 3.8% | 94.8% | 98.7 | DULL | |
| 7 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 44 | 37 | 29 | 8 | 109 | 390 | 408 | 489 | 40 | 94 | 23 | 30 | 64 | 19 | 3 | 15.79% | 13 | 5 | 61.54% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 55.6% | 7.3% | 90.4% | 97.8 | Unlucky | |
| 8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 44 | 37 | 29 | 8 | 36 | 390 | 408 | 489 | 40 | 25 | 4 | 12 | 22 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 100.0% | 5.6% | 96.0% | 101.6 | DULL | |
| 9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 44 | 37 | 29 | 8 | 66 | 390 | 408 | 489 | 40 | 68 | 16 | 26 | 40 | 8 | 3 | 37.50% | 12 | 1 | 91.67% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 33.3% | 9.1% | 89.7% | 98.8 | FUN | |
| 10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 44 | 37 | 29 | 8 | 55 | 390 | 408 | 489 | 40 | 53 | 13 | 20 | 62 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 25.0% | 5.5% | 86.8% | 92.2 | Unlucky | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 44 | 37 | 29 | 8 | 34 | 390 | 408 | 489 | 40 | 41 | 9 | 10 | 17 | 2 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 50.0% | 2.9% | 90.2% | 93.2 | Unlucky | |
| 12 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 1.000 | 12 | 22 | 34 | 0 | 0 | 44 | 37 | 29 | 8 | 90 | 390 | 408 | 489 | 40 | 96 | 22 | 46 | 69 | 10 | 2 | 20.00% | 18 | 1 | 94.44% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 58.8% | 13.3% | 91.7% | 105.0 | LUCKY | |
| 13 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 6 | 2 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 44 | 37 | 29 | 8 | 66 | 390 | 408 | 489 | 40 | 68 | 23 | 21 | 56 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 1 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 63.6% | 12.1% | 91.2% | 103.3 | LUCKY | |
| 14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 44 | 37 | 29 | 8 | 37 | 390 | 408 | 489 | 40 | 39 | 7 | 2 | 29 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 57.1% | 10.8% | 92.3% | 103.1 | LUCKY | |
| 15 | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 15 | 16 | -1 | 5 | 0.625 | 15 | 30 | 45 | 0 | 0 | 44 | 37 | 29 | 8 | 148 | 390 | 408 | 489 | 40 | 141 | 36 | 32 | 114 | 12 | 3 | 25.00% | 15 | 3 | 80.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 48.0% | 10.1% | 88.7% | 98.8 | FUN | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1.000 | 7 | 14 | 21 | 0 | 0 | 44 | 37 | 29 | 8 | 42 | 390 | 408 | 489 | 40 | 33 | 6 | 6 | 26 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 62.5% | 16.7% | 90.9% | 107.6 | FUN | |
| 17 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 44 | 37 | 29 | 8 | 65 | 390 | 408 | 489 | 40 | 59 | 14 | 12 | 39 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 50.0% | 9.2% | 89.8% | 99.1 | FUN | |
| 18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 44 | 37 | 29 | 8 | 40 | 390 | 408 | 489 | 40 | 33 | 8 | 6 | 29 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 25.0% | 5.0% | 90.9% | 95.9 | Unlucky | |
| 19 | 4 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 10 | 5 | 5 | 6 | 0.750 | 10 | 14 | 24 | 0 | 1 | 44 | 37 | 29 | 8 | 106 | 390 | 408 | 489 | 40 | 120 | 44 | 45 | 86 | 10 | 2 | 20.00% | 20 | 3 | 85.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 80.0% | 9.4% | 95.8% | 105.3 | LUCKY | |
| 20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 44 | 37 | 29 | 8 | 33 | 390 | 408 | 489 | 40 | 28 | 9 | 10 | 25 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 75.0% | 9.1% | 96.4% | 105.5 | LUCKY | |
| 21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 44 | 37 | 29 | 8 | 51 | 390 | 408 | 489 | 40 | 62 | 23 | 18 | 45 | 4 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 45.5% | 9.8% | 90.3% | 100.1 | FUN | |
| 22 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 44 | 37 | 29 | 8 | 65 | 390 | 408 | 489 | 40 | 75 | 13 | 22 | 54 | 3 | 2 | 66.67% | 11 | 1 | 90.91% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 30.0% | 7.7% | 89.3% | 97.0 | Unlucky | |
| 23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 44 | 37 | 29 | 8 | 78 | 390 | 408 | 489 | 40 | 74 | 25 | 16 | 43 | 7 | 2 | 28.57% | 8 | 2 | 75.00% | 0 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 50.0% | 10.3% | 89.2% | 99.4 | FUN | |
| _Vs Division | 19 | 5 | 9 | 0 | 1 | 1 | 3 | 0 | 52 | 54 | -2 | 19 | 0.500 | 52 | 89 | 141 | 0 | 1 | 44 | 37 | 29 | 8 | 602 | 390 | 408 | 489 | 40 | 595 | 171 | 168 | 469 | 67 | 12 | 17.91% | 75 | 15 | 80.00% | 1 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 50.6% | 8.6% | 90.9% | 99.6 | Unlucky | |
| _Vs Conference | 32 | 10 | 13 | 0 | 3 | 2 | 3 | 1 | 92 | 95 | -3 | 35 | 0.547 | 92 | 159 | 251 | 0 | 1 | 44 | 37 | 29 | 8 | 1028 | 390 | 408 | 489 | 40 | 1028 | 282 | 314 | 771 | 109 | 22 | 20.18% | 142 | 21 | 85.21% | 1 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 48.6% | 8.9% | 90.8% | 99.7 | Unlucky | |
| _Since Last GM Reset | 42 | 14 | 18 | 0 | 4 | 2 | 3 | 1 | 117 | 123 | -6 | 45 | 0.536 | 117 | 205 | 322 | 0 | 1 | 44 | 37 | 29 | 8 | 1316 | 390 | 408 | 489 | 40 | 1376 | 379 | 400 | 1012 | 149 | 28 | 18.79% | 184 | 31 | 83.15% | 1 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 49.2% | 8.9% | 91.1% | 100.0 | Unlucky | |
| Total | 42 | 14 | 18 | 0 | 4 | 2 | 3 | 1 | 117 | 123 | -6 | 45 | 0.536 | 117 | 205 | 322 | 0 | 1 | 44 | 37 | 29 | 8 | 1316 | 390 | 408 | 489 | 40 | 1376 | 379 | 400 | 1012 | 149 | 28 | 18.79% | 184 | 31 | 83.15% | 1 | 787 | 1484 | 53.03% | 817 | 1589 | 51.42% | 346 | 647 | 53.48% | 986 | 658 | 1000 | 335 | 564 | 278 | 49.2% | 8.9% | 91.1% | 100.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1484 |
| Neutral Zone Start | 647 |
| Defensive Zone Start | 1589 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1950 |
| Faceoffs Lost | 1770 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.3 | 9.57 |
| 2nd Period | 19.0 | 20.31 |
| 3rd Period | 30.6 | 30.68 |
| Overtime | 31.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.6 | 2.67 |
| Overtime | 2.8 | 2.83 |
| Even Strenght Goal | 88 |
|---|---|
| PP Goal | 28 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 12 | 9 |
| Lost | 8 | 10 |
| Overtime Lost | 0 | 3 |
| PP Attempt | 149 |
|---|---|
| PP Goal | 28 |
| PK Attempt | 184 |
| PK Goal Against | 31 |
| Home | |
|---|---|
| Shots For | 31.3 |
| Shots Against | 32.8 |
| Goals For | 2.8 |
| Goals Against | 2.9 |
| Hits | 24.1 |
| Shots Blocked | 9.0 |
| Pim | 9.5 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Eagles3,Wolves1 | RECAP | |||||||||||
| 2025-10-10 | @ | Wolves1,Admirals6 | RECAP | |||||||||||
| 2025-10-14 | @ | Wild4,Wolves1 | RECAP | |||||||||||
| 2025-10-18 | @ | Wolves2,Moose3 | RECAP | |||||||||||
| 2025-10-19 | @ | Admirals1,Wolves2 | RECAP | |||||||||||
| 2025-10-22 | @ | Wolves4,Stars0 | RECAP | |||||||||||
| 2025-10-24 | @ | IceHogs2,Wolves4 | RECAP | |||||||||||
| 2025-10-26 | @ | Eagles2,Wolves1 | RECAP | |||||||||||
| 2025-10-28 | @ | Wolves4,Condors3 | RECAP | |||||||||||
| 2025-10-29 | @ | Firebirds5,Wolves4 | RECAP | |||||||||||
| 2025-10-30 | @ | Wolves4,IceHogs5 (OT) | RECAP | |||||||||||
| 2025-11-02 | @ | Stars2,Wolves3 (SO) | RECAP | |||||||||||
| 2025-11-05 | @ | Wolves3,Wild4 | RECAP | |||||||||||
| 2025-11-10 | @ | Barracuda4,Wolves2 | RECAP | |||||||||||
| 2025-11-14 | @ | Wolves3,Roadrunners4 (OT) | RECAP | |||||||||||
| 2025-11-15 | @ | Condors3,Wolves5 | RECAP | |||||||||||
| 2025-11-18 | @ | Wolves2,Canucks1 (OT) | RECAP | |||||||||||
| 2025-11-19 | @ | Condors2,Wolves3 (OT) | RECAP | |||||||||||
| 2025-11-22 | @ | Wolves0,Bears2 | RECAP | |||||||||||
| 2025-11-24 | @ | Reign2,Wolves5 | RECAP | |||||||||||
| 2025-11-27 | @ | Wolves4,Moose3 (SO) | RECAP | |||||||||||
| 2025-11-29 | @ | Wolves3,Barracuda2 | RECAP | |||||||||||
| 2025-12-01 | @ | Silver Knights3,Wolves1 | RECAP | |||||||||||
| 2025-12-03 | @ | Wolves0,Griffins3 | RECAP | |||||||||||
| 2025-12-05 | @ | Firebirds3,Wolves4 | RECAP | |||||||||||
| 2025-12-07 | @ | Wolves4,Wild1 | RECAP | |||||||||||
| 2025-12-11 | @ | Wolves2,Gulls3 | RECAP | |||||||||||
| 2025-12-13 | @ | Stars1,Wolves2 (SO) | RECAP | |||||||||||
| 2025-12-14 | @ | Wolves4,Phantoms3 | RECAP | |||||||||||
| 2025-12-17 | @ | Roadrunners2,Wolves5 | RECAP | |||||||||||
| 2025-12-20 | @ | Wolves1,Reign5 | RECAP | |||||||||||
| 2025-12-22 | @ | Marlies1,Wolves3 | RECAP | |||||||||||
| 2025-12-25 | @ | Wolves3,IceHogs6 | RECAP | |||||||||||
| 2025-12-27 | @ | Rocket6,Wolves3 | RECAP | |||||||||||
| 2025-12-29 | @ | Wolves4,Bruins3 (OT) | RECAP | |||||||||||
| 2025-12-31 | @ | Monsters3,Wolves7 | RECAP | |||||||||||
| 2026-01-02 | @ | Wolves2,Bears1 | RECAP | |||||||||||
| 2026-01-05 | @ | IceHogs3,Wolves4 (OT) | RECAP | |||||||||||
| 2026-01-07 | @ | Wolves1,Crunch4 | RECAP | |||||||||||
| 2026-01-09 | @ | Wolves4,Silver Knights5 (SO) | RECAP | |||||||||||
| 2026-01-11 | @ | Senators2,Wolves1 | RECAP | |||||||||||
| 2026-01-13 | @ | Wolves1,Stars2 | RECAP | |||||||||||
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| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,639,245$ | 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 |
| 16 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,639,245$ | 2,639,245$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,707,326$ | 14,662$ | 1,432,341$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 93 | 17,440$ | 1,412,640$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,412,640$ | 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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