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Full Scoreboard »» |
Chicago Wolves 13-6-2, 28pts · 3rd 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Charles Hudon | 54 | LW/RW | 98.00 | 72 | 39 | 72 | 60 | 72 | 72 | 84 | 65 | 39 | 61 | 64 | 68 | 63 | 74 | 71 | 0 | 53 | 74 | 30 | 800,000$/2yrs | |||
Carl Grundstrom | 0 | LW/RW | 96.00 | 82 | 33 | 90 | 61 | 76 | 73 | 82 | 61 | 58 | 58 | 67 | 58 | 64 | 69 | 68 | 0 | 58 | 73 | 26 | 1,000,000$/2yrs | |||
Dylan Gambrell | 7 | C | 96.00 | 68 | 36 | 85 | 55 | 71 | 74 | 74 | 56 | 75 | 58 | 58 | 76 | 57 | 72 | 70 | 0 | 52 | 71 | 28 | 775,000$/1yrs | |||
Owen Pederson (R) | 0 | C/LW | 100.00 | 66 | 40 | 80 | 65 | 83 | 73 | 60 | 63 | 69 | 58 | 57 | 66 | 66 | 65 | 66 | 0 | 41 | 71 | 22 | 800,000$/2yrs | |||
Jordan Bellerive (R) | 64 | C | 97.00 | 87 | 42 | 50 | 64 | 73 | 64 | 60 | 62 | 65 | 57 | 55 | 63 | 64 | 63 | 58 | 0 | 52 | 70 | 25 | 800,000$/2yrs | |||
Tim Gettinger | 63 | LW | 100.00 | 64 | 40 | 85 | 55 | 91 | 65 | 84 | 63 | 41 | 56 | 56 | 66 | 56 | 66 | 65 | 0 | 53 | 69 | 26 | 800,000$/2yrs | |||
Brett Berard (R) | 0 | LW | 98.00 | 72 | 39 | 71 | 59 | 62 | 65 | 78 | 59 | 44 | 54 | 60 | 62 | 57 | 59 | 56 | 0 | 53 | 68 | 22 | 821,250$/2yrs | |||
Aleksanteri Kaskimaki (R) | 0 | C | 98.00 | 65 | 39 | 87 | 60 | 75 | 66 | 82 | 53 | 30 | 57 | 61 | 63 | 59 | 58 | 56 | 0 | 15 | 68 | 20 | 870,000$/3yrs | |||
Kasper Halttunen (R) | 0 | RW | 98.00 | 80 | 41 | 64 | 60 | 83 | 65 | 86 | 56 | 36 | 56 | 59 | 61 | 58 | 56 | 52 | 0 | 48 | 68 | 19 | 775,000$/1yrs | |||
Damien Giroux (R) | 0 | C | 99.00 | 63 | 38 | 85 | 52 | 67 | 61 | 82 | 62 | 66 | 54 | 48 | 65 | 51 | 62 | 61 | 0 | 53 | 66 | 24 | 800,000$/1yrs | |||
Zack Ostapchuk (R) | 0 | C | 100.00 | 69 | 40 | 79 | 55 | 83 | 62 | 76 | 58 | 35 | 50 | 56 | 62 | 53 | 57 | 55 | 0 | 53 | 66 | 21 | 825,000$/2yrs | |||
Tyson Kozak (R) | 0 | C | 100.00 | 66 | 39 | 80 | 51 | 69 | 59 | 82 | 60 | 67 | 49 | 50 | 63 | 49 | 59 | 57 | 0 | 47 | 64 | 21 | 850,000$/1yrs | |||
Jacob Melanson (R) | 0 | RW | 100.00 | 83 | 42 | 53 | 52 | 80 | 59 | 76 | 59 | 41 | 51 | 49 | 62 | 50 | 57 | 52 | 0 | 45 | 64 | 21 | 826,111$/2yrs | |||
Noah Juulsen | 57 | D | 97.00 | 88 | 33 | 85 | 55 | 80 | 80 | 75 | 58 | 30 | 57 | 53 | 74 | 55 | 70 | 69 | 0 | 53 | 73 | 27 | 775,000$/1yrs | |||
Matthew Kessel | 0 | D | 98.00 | 67 | 33 | 89 | 55 | 81 | 83 | 71 | 57 | 30 | 61 | 54 | 69 | 56 | 65 | 64 | 0 | 53 | 72 | 24 | 800,000$/2yrs | |||
Cale Fleury | 0 | D | 97.00 | 65 | 38 | 90 | 53 | 82 | 66 | 75 | 50 | 30 | 58 | 50 | 65 | 53 | 66 | 65 | 0 | 53 | 68 | 26 | 800,000$/1yrs | |||
Keaton Middleton | 0 | D | 100.00 | 92 | 45 | 50 | 47 | 98 | 61 | 90 | 46 | 30 | 52 | 48 | 67 | 50 | 66 | 61 | 0 | 51 | 66 | 26 | 775,000$/1yrs | |||
Jett Woo (R) | 0 | D | 100.00 | 84 | 42 | 51 | 49 | 79 | 62 | 88 | 48 | 30 | 55 | 50 | 65 | 53 | 63 | 58 | 0 | 53 | 66 | 24 | 800,000$/2yrs | |||
Adam Ginning (R) | 0 | D | 99.00 | 78 | 41 | 63 | 48 | 83 | 62 | 86 | 46 | 30 | 52 | 48 | 65 | 50 | 63 | 59 | 0 | 53 | 65 | 24 | 950,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Jan Drozg | 56 | RW | 100.00 | 61 | 38 | 88 | 61 | 71 | 61 | 60 | 58 | 65 | 52 | 53 | 62 | 61 | 63 | 62 | 0 | 20 | 67 | 25 | ||||
Sampo Ranta | 0 | LW | 100.00 | 64 | 38 | 86 | 53 | 78 | 62 | 74 | 60 | 38 | 51 | 53 | 64 | 52 | 63 | 61 | 0 | 20 | 66 | 24 | 850,000$/1yrs | |||
Adam Raska | 0 | RW | 100.00 | 94 | 42 | 53 | 50 | 69 | 60 | 83 | 60 | 38 | 48 | 48 | 64 | 48 | 61 | 56 | 0 | 48 | 64 | 23 | 800,000$/2yrs | |||
David Farrance (R) | 21 | D | 100.00 | 62 | 38 | 88 | 52 | 73 | 63 | 73 | 49 | 30 | 58 | 48 | 66 | 53 | 64 | 63 | 0 | 20 | 67 | 25 | ||||
Tobias Geisser | 49 | D | 100.00 | 78 | 37 | 91 | 56 | 85 | 78 | 60 | 56 | 30 | 47 | 45 | 58 | 45 | 63 | 65 | 0 | 20 | 66 | 25 | ||||
Artemi Knyazev (R) | 0 | D | 100.00 | 67 | 39 | 79 | 50 | 71 | 61 | 79 | 48 | 30 | 56 | 48 | 64 | 52 | 61 | 59 | 0 | 20 | 66 | 23 | ||||
Filip Kral | 0 | D | 100.00 | 61 | 38 | 89 | 45 | 79 | 61 | 69 | 45 | 30 | 49 | 48 | 66 | 49 | 64 | 63 | 0 | 20 | 63 | 25 | 800,000$/1yrs | |||
Frederic Brunet (R) | 0 | D | 100.00 | 64 | 39 | 85 | 47 | 78 | 59 | 74 | 45 | 30 | 52 | 47 | 62 | 49 | 57 | 56 | 0 | 20 | 63 | 21 | ||||
Niclas Almari | 0 | D | 100.00 | 64 | 37 | 86 | 53 | 73 | 64 | 60 | 52 | 30 | 45 | 46 | 52 | 45 | 64 | 66 | 0 | 20 | 62 | 26 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Calvin Pickard | 31 | 100.00 | 69 | 68 | 69 | 84 | 74 | 69 | 74 | 77 | 74 | 77 | 74 | 79 | 82 | 0 | 56 | 78 | 32 | 1,200,000$/2yrs |
Scratches | ||||||||||||||||||||
Henrik Tikkanen | 0 | 93.00 | 77 | 70 | 74 | 87 | 69 | 78 | 78 | 77 | 78 | 77 | 78 | 64 | 64 | 0 | 53 | 79 | 24 | 850,000$/2yrs |
Troy Grosenick | 34 | 100.00 | 68 | 75 | 69 | 72 | 78 | 76 | 74 | 68 | 76 | 70 | 73 | 83 | 83 | 0 | 31 | 77 | 35 | 775,000$/1yrs |
Mack Guzda | 0 | 100.00 | 74 | 73 | 71 | 89 | 61 | 76 | 74 | 74 | 76 | 76 | 74 | 62 | 62 | 0 | 34 | 77 | 23 | 897,500$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Hartley | 64 | 62 | 67 | 70 | 89 | 78 | 59 | CAN | 63 | 5 | 500,000$ |
General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matthew Kessel | Wolves (CAR) | D | 21 | 5 | 13 | 18 | 4 | 14 | 0 | 30 | 37 | 10 | 18 | 13.51% | 37 | 21.13 | 4 | 2 | 6 | 46 | 0 | 0 | 0 | 59 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | |
2 | Dylan Gambrell | Wolves (CAR) | C | 19 | 7 | 9 | 16 | 5 | 0 | 0 | 10 | 63 | 13 | 42 | 11.11% | 6 | 22.00 | 0 | 4 | 4 | 33 | 0 | 1 | 1 | 66 | 1 | 0 | 54.86% | 401 | 0 | 0 | 0 | 0 | 0.77 | 0 | 1 | |
3 | Jordan Bellerive | Wolves (CAR) | C | 21 | 5 | 9 | 14 | -3 | 20 | 0 | 60 | 54 | 15 | 35 | 9.26% | 4 | 18.54 | 0 | 3 | 3 | 40 | 2 | 0 | 2 | 47 | 1 | 1 | 49.25% | 400 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
4 | Charles Hudon | Wolves (CAR) | LW/RW | 18 | 6 | 5 | 11 | -6 | 4 | 0 | 29 | 66 | 15 | 48 | 9.09% | 11 | 20.78 | 2 | 2 | 4 | 42 | 0 | 0 | 0 | 42 | 1 | 2 | 31.82% | 198 | 0 | 0 | 0 | 0 | 0.59 | 0 | 1 | |
5 | Tim Gettinger | Wolves (CAR) | LW | 21 | 4 | 7 | 11 | -6 | 0 | 0 | 1 | 48 | 18 | 39 | 8.33% | 6 | 18.41 | 3 | 1 | 4 | 41 | 0 | 0 | 0 | 34 | 0 | 1 | 51.22% | 41 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
6 | Noah Juulsen | Wolves (CAR) | D | 21 | 4 | 7 | 11 | -5 | 22 | 0 | 52 | 31 | 7 | 30 | 12.90% | 29 | 22.26 | 1 | 2 | 3 | 47 | 0 | 1 | 1 | 67 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
7 | Brett Berard | Wolves (CAR) | LW | 21 | 6 | 5 | 11 | 0 | 4 | 0 | 14 | 56 | 16 | 47 | 10.71% | 2 | 15.85 | 0 | 1 | 1 | 19 | 0 | 0 | 0 | 25 | 0 | 0 | 31.71% | 82 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
8 | Jett Woo | Wolves (CAR) | D | 21 | 1 | 9 | 10 | 0 | 10 | 0 | 36 | 9 | 4 | 6 | 11.11% | 27 | 14.52 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 15 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
9 | Cale Fleury | Wolves (CAR) | D | 21 | 3 | 5 | 8 | 3 | 6 | 0 | 27 | 21 | 5 | 10 | 14.29% | 35 | 21.10 | 2 | 0 | 2 | 45 | 0 | 0 | 0 | 63 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
10 | Owen Pederson | Wolves (CAR) | C/LW | 14 | 4 | 4 | 8 | 2 | 5 | 5 | 7 | 36 | 13 | 28 | 11.11% | 2 | 16.52 | 1 | 2 | 3 | 23 | 0 | 0 | 0 | 22 | 1 | 1 | 50.26% | 195 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
11 | Jacob Melanson | Wolves (CAR) | RW | 18 | 3 | 3 | 6 | 2 | 10 | 0 | 33 | 23 | 9 | 16 | 13.04% | 2 | 11.23 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
12 | Kasper Halttunen | Wolves (CAR) | RW | 10 | 2 | 4 | 6 | -1 | 4 | 0 | 32 | 34 | 10 | 16 | 5.88% | 5 | 17.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 66.67% | 12 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
13 | Keaton Middleton | Wolves (CAR) | D | 21 | 2 | 3 | 5 | -3 | 28 | 10 | 40 | 17 | 3 | 8 | 11.76% | 28 | 15.95 | 2 | 0 | 2 | 19 | 0 | 1 | 1 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
14 | Adam Raska | Wolves (CAR) | RW | 19 | 1 | 4 | 5 | -7 | 20 | 0 | 59 | 24 | 9 | 13 | 4.17% | 3 | 14.47 | 0 | 3 | 3 | 42 | 0 | 0 | 0 | 2 | 0 | 0 | 53.57% | 28 | 0 | 0 | 0 | 0 | 0.36 | 0 | 1 | |
15 | Damien Giroux | Wolves (CAR) | C | 21 | 2 | 2 | 4 | 4 | 0 | 0 | 2 | 16 | 5 | 7 | 12.50% | 3 | 7.21 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 8 | 0 | 0 | 50.00% | 104 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
16 | Carl Grundstrom | Wolves (CAR) | LW/RW | 5 | 2 | 1 | 3 | 2 | 4 | 0 | 11 | 15 | 8 | 10 | 13.33% | 1 | 23.28 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 13 | 1 | 0 | 47.52% | 101 | 0 | 0 | 0 | 0 | 0.52 | 1 | 1 | |
17 | Adam Ginning | Wolves (CAR) | D | 21 | 1 | 2 | 3 | -1 | 14 | 0 | 34 | 3 | 2 | 3 | 33.33% | 16 | 8.88 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
18 | Zack Ostapchuk | Wolves (CAR) | C | 21 | 1 | 2 | 3 | 0 | 0 | 0 | 3 | 6 | 8 | 12 | 16.67% | 0 | 3.42 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 33.77% | 77 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | |
19 | Aleksanteri Kaskimaki | Wolves (CAR) | C | 12 | 1 | 0 | 1 | -2 | 0 | 0 | 1 | 25 | 8 | 19 | 4.00% | 2 | 17.56 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 27.27% | 11 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | |
20 | Tyson Kozak | Wolves (CAR) | C | 19 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 71.43% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 365 | 60 | 94 | 154 | -11 | 165 | 15 | 481 | 584 | 178 | 407 | 10.27% | 219 | 15.15 | 15 | 21 | 36 | 423 | 2 | 4 | 6 | 499 | 11 | 7 | 47.15% | 1665 | 0 | 0 | 0 | 0 | 0.56 | 1 | 4 |
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 | Henrik Tikkanen | Wolves (CAR) | 12 | 9 | 3 | 0 | 0.917 | 2.72 | 727 | 0 | 0 | 33 | 398 | 0 | 1 | 0 | 0.000 | 0 | 12 | 2 | 1 | 1 | 0 |
2 | Calvin Pickard | Wolves (CAR) | 5 | 3 | 1 | 1 | 0.929 | 2.56 | 305 | 0 | 0 | 13 | 182 | 0 | 0 | 0 | 0.667 | 3 | 5 | 12 | 0 | 0 | 2 |
3 | Mack Guzda | Wolves (CAR) | 4 | 1 | 2 | 1 | 0.912 | 2.92 | 247 | 0 | 0 | 12 | 136 | 0 | 0 | 0 | 1.000 | 3 | 4 | 3 | 0 | 1 | 0 |
Team Total or Average | 21 | 13 | 6 | 2 | 0.919 | 2.72 | 1280 | 0 | 0 | 58 | 716 | 0 | 1 | 0 | 0.833 | 6 | 21 | 17 | 1 | 2 | 2 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
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Adam Ginning | D | 24 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Adam Raska | RW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Aleksanteri Kaskimaki | C | 20 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Artemi Knyazev | D | 23 | 0$ | RFA | |||||||
Brett Berard | LW | 22 | 821,250$ | 867,500$ | 775,000$ | RFA | |||||
Cale Fleury | D | 26 | 800,000$ | 800,000$ | RFA | ||||||
Calvin Pickard | G | 32 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Carl Grundstrom | LW/RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Charles Hudon | LW/RW | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Damien Giroux | C | 24 | 800,000$ | 800,000$ | RFA | ||||||
David Farrance | D | 25 | 0$ | RFA | |||||||
Dylan Gambrell | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Filip Kral | D | 25 | 800,000$ | 800,000$ | RFA | ||||||
Frederic Brunet | D | 21 | 0$ | RFA | |||||||
Henrik Tikkanen | G | 24 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Jacob Melanson | RW | 21 | 826,111$ | 826,111$ | 826,111$ | RFA | |||||
Jan Drozg | RW | 25 | 0$ | RFA | |||||||
Jett Woo | D | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Jordan Bellerive | C | 25 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Kasper Halttunen | RW | 19 | 775,000$ | 775,000$ | RFA | ||||||
Keaton Middleton | D | 26 | 775,000$ | 775,000$ | RFA | ||||||
Mack Guzda | G | 23 | 897,500$ | 897,500$ | RFA | ||||||
Matthew Kessel | D | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Matthew Kessel | D | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Niclas Almari | D | 26 | 0$ | RFA | |||||||
Noah Juulsen | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Owen Pederson | C/LW | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Sampo Ranta | LW | 24 | 850,000$ | 850,000$ | RFA | ||||||
Tim Gettinger | LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Tobias Geisser | D | 25 | 0$ | RFA | |||||||
Troy Grosenick | G | 35 | 775,000$ | 775,000$ | UFA | ||||||
Tyson Kozak | C | 21 | 850,000$ | 850,000$ | RFA | ||||||
Zack Ostapchuk | C | 21 | 825,000$ | 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 |
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1 | Wranglers | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 17 | 27 | 15 | 4 | 72 | 195 | 222 | 207 | 25 | 76 | 20 | 19 | 51 | 9 | 3 | 33.33% | 6 | 0 | 100.00% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 44.4% | 9.7% | 93.4% | 103.1 | LUCKY |
2 | Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 17 | 27 | 15 | 4 | 27 | 195 | 222 | 207 | 25 | 34 | 13 | 10 | 20 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 20.0% | 3.7% | 88.2% | 91.9 | Unlucky |
3 | Wild | 5 | 2 | 1 | 0 | 0 | 0 | 1 | 1 | 16 | 15 | 1 | 7 | 0.700 | 16 | 30 | 46 | 0 | 0 | 17 | 27 | 15 | 4 | 173 | 195 | 222 | 207 | 25 | 172 | 51 | 36 | 136 | 18 | 4 | 22.22% | 16 | 4 | 75.00% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 52.2% | 9.2% | 91.3% | 100.5 | LUCKY |
4 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 17 | 27 | 15 | 4 | 16 | 195 | 222 | 207 | 25 | 36 | 17 | 16 | 25 | 4 | 1 | 25.00% | 8 | 3 | 62.50% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 50.0% | 12.5% | 88.9% | 101.4 | FUN |
5 | Bruins | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 17 | 27 | 15 | 4 | 58 | 195 | 222 | 207 | 25 | 59 | 22 | 18 | 50 | 6 | 1 | 16.67% | 9 | 0 | 100.00% | 2 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 42.9% | 6.9% | 93.2% | 100.1 | DULL |
6 | IceHogs | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 17 | 27 | 15 | 4 | 46 | 195 | 222 | 207 | 25 | 64 | 28 | 15 | 47 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 40.0% | 10.9% | 90.6% | 101.5 | FUN |
7 | Monsters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 17 | 27 | 15 | 4 | 22 | 195 | 222 | 207 | 25 | 40 | 12 | 11 | 22 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 80.0% | 18.2% | 97.5% | 115.7 | LUCKY |
8 | Moose | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 17 | 27 | 15 | 4 | 36 | 195 | 222 | 207 | 25 | 28 | 6 | 8 | 24 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 50.0% | 13.9% | 89.3% | 103.2 | FUN |
9 | Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 17 | 27 | 15 | 4 | 34 | 195 | 222 | 207 | 25 | 35 | 15 | 12 | 26 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 50.0% | 8.8% | 94.3% | 103.1 | DULL |
10 | Stars | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 17 | 27 | 15 | 4 | 105 | 195 | 222 | 207 | 25 | 102 | 33 | 26 | 72 | 4 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 55.6% | 9.5% | 91.2% | 100.7 | LUCKY |
11 | Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 17 | 27 | 15 | 4 | 31 | 195 | 222 | 207 | 25 | 33 | 4 | 11 | 31 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 33.3% | 3.2% | 93.9% | 97.2 | DULL |
12 | Firebirds | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 17 | 27 | 15 | 4 | 24 | 195 | 222 | 207 | 25 | 37 | 12 | 10 | 26 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 57.1% | 20.8% | 89.2% | 110.0 | FUN |
_Vs Division | 12 | 5 | 4 | 0 | 2 | 0 | 1 | 1 | 38 | 37 | 1 | 17 | 0.708 | 38 | 69 | 107 | 0 | 0 | 17 | 27 | 15 | 4 | 376 | 195 | 222 | 207 | 25 | 402 | 135 | 101 | 304 | 34 | 8 | 23.53% | 44 | 8 | 81.82% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 50.8% | 10.1% | 90.8% | 100.9 | FUN | |
_Vs Conference | 17 | 7 | 5 | 0 | 3 | 0 | 1 | 1 | 54 | 50 | 4 | 23 | 0.676 | 54 | 97 | 151 | 0 | 0 | 17 | 27 | 15 | 4 | 537 | 195 | 222 | 207 | 25 | 583 | 186 | 153 | 438 | 53 | 14 | 26.42% | 63 | 10 | 84.13% | 0 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 50.0% | 10.1% | 91.4% | 101.5 | LUCKY | |
_Since Last GM Reset | 21 | 9 | 6 | 0 | 3 | 1 | 1 | 1 | 63 | 59 | 4 | 28 | 0.667 | 63 | 113 | 176 | 0 | 0 | 17 | 27 | 15 | 4 | 644 | 195 | 222 | 207 | 25 | 716 | 233 | 192 | 530 | 60 | 15 | 25.00% | 79 | 10 | 87.34% | 2 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 49.5% | 9.8% | 91.8% | 101.5 | LUCKY | |
Total | 21 | 9 | 6 | 0 | 3 | 1 | 1 | 1 | 63 | 59 | 4 | 28 | 0.667 | 63 | 113 | 176 | 0 | 0 | 17 | 27 | 15 | 4 | 644 | 195 | 222 | 207 | 25 | 716 | 233 | 192 | 530 | 60 | 15 | 25.00% | 79 | 10 | 87.34% | 2 | 324 | 724 | 44.75% | 397 | 776 | 51.16% | 166 | 325 | 51.08% | 485 | 319 | 509 | 164 | 285 | 140 | 49.5% | 9.8% | 91.8% | 101.5 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 724 |
Neutral Zone Start | 325 |
Defensive Zone Start | 776 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 887 |
Faceoffs Lost | 938 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 29.7 | 30.68 |
Overtime | 30.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 46 |
---|---|
PP Goal | 15 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 8 |
Lost | 4 | 2 |
Overtime Lost | 1 | 1 |
PP Attempt | 60 |
---|---|
PP Goal | 15 |
PK Attempt | 79 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 30.7 |
Shots Against | 34.1 |
Goals For | 3.0 |
Goals Against | 2.8 |
Hits | 25.2 |
Shots Blocked | 11.1 |
Pim | 9.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-09 | Wild | @ | Wolves | Wild3,Wolves4 (SO) | RECAP | |||||||||
2024-10-11 | Stars | @ | Wolves | Stars4,Wolves2 | RECAP | |||||||||
2024-10-13 | Wolves | @ | Bruins | Wolves2,Bruins3 (OT) | RECAP | |||||||||
2024-10-15 | Barracuda | @ | Wolves | Barracuda2,Wolves1 | RECAP | |||||||||
2024-10-18 | Wolves | @ | Bruins | Wolves2,Bruins1 | RECAP | |||||||||
2024-10-21 | Moose | @ | Wolves | Moose3,Wolves5 | RECAP | |||||||||
2024-10-25 | Wolves | @ | IceHogs | Wolves4,IceHogs3 (OT) | RECAP | |||||||||
2024-10-27 | IceHogs | @ | Wolves | IceHogs3,Wolves1 | RECAP | |||||||||
2024-10-29 | Wolves | @ | Admirals | Wolves2,Admirals4 | RECAP | |||||||||
2024-10-30 | Wranglers | @ | Wolves | Wranglers2,Wolves3 | RECAP | |||||||||
2024-11-01 | Wolves | @ | Wranglers | Wolves4,Wranglers3 (OT) | RECAP | |||||||||
2024-11-03 | Wolves | @ | Stars | Wolves3,Stars2 | RECAP | |||||||||
2024-11-04 | Wild | @ | Wolves | Wild4,Wolves3 (SO) | RECAP | |||||||||
2024-11-07 | Wolves | @ | Wild | Wolves3,Wild5 | RECAP | |||||||||
2024-11-09 | Wild | @ | Wolves | Wild1,Wolves3 | RECAP | |||||||||
2024-11-11 | Wolves | @ | Firebirds | Wolves5,Firebirds4 (OT) | RECAP | |||||||||
2024-11-13 | Wolves | @ | Gulls | Wolves3,Gulls2 | RECAP | |||||||||
2024-11-14 | Bears | @ | Wolves | Bears4,Wolves1 | RECAP | |||||||||
2024-11-16 | Wolves | @ | Stars | Wolves5,Stars3 | RECAP | |||||||||
2024-11-17 | Wolves | @ | Wild | Wolves3,Wild2 | RECAP | |||||||||
2024-11-19 | Monsters | @ | Wolves | Monsters1,Wolves4 | RECAP | |||||||||
2024-11-22 | Wolves | @ | Firebirds | |||||||||||
2024-11-24 | Phantoms | @ | Wolves | |||||||||||
2024-11-27 | IceHogs | @ | Wolves | |||||||||||
2024-11-29 | Wolves | @ | Wranglers | |||||||||||
2024-12-03 | Wolf Pack | @ | Wolves | |||||||||||
2024-12-05 | Wolves | @ | Islanders | |||||||||||
2024-12-10 | Americans | @ | Wolves | |||||||||||
2024-12-12 | Wolves | @ | Roadrunners | |||||||||||
2024-12-13 | Wolves | @ | Senators | |||||||||||
2024-12-14 | Barracuda | @ | Wolves | |||||||||||
2024-12-21 | Barracuda | @ | Wolves | |||||||||||
2024-12-24 | Wolves | @ | Griffins | |||||||||||
2024-12-26 | Wranglers | @ | Wolves | |||||||||||
2024-12-28 | Wolves | @ | Admirals | |||||||||||
2024-12-29 | Checkers | @ | Wolves | |||||||||||
2025-01-02 | Wolves | @ | Canucks | |||||||||||
2025-01-04 | Gulls | @ | Wolves | |||||||||||
2025-01-06 | Wolves | @ | Reign | |||||||||||
2025-01-08 | Wolves | @ | Eagles | |||||||||||
2025-01-09 | Griffins | @ | Wolves | |||||||||||
2025-01-13 | Condors | @ | Wolves | |||||||||||
2025-01-17 | Wolves | @ | Barracuda | |||||||||||
2025-01-19 | Reign | @ | Wolves | |||||||||||
2025-01-22 | Wolves | @ | Crunch | |||||||||||
2025-01-24 | Wolves | @ | Comets | |||||||||||
2025-01-25 | Rocket | @ | Wolves | |||||||||||
2025-01-28 | Wolves | @ | Bruins | |||||||||||
2025-01-29 | Wolves | @ | Eagles | |||||||||||
2025-01-30 | Moose | @ | Wolves | |||||||||||
2025-02-02 | Canucks | @ | Wolves | |||||||||||
2025-02-06 | Wolves | @ | Penguins | |||||||||||
2025-02-09 | Marlies | @ | Wolves | |||||||||||
2025-02-12 | Condors | @ | Wolves | |||||||||||
2025-02-13 | Wolves | @ | IceHogs | |||||||||||
2025-02-16 | Admirals | @ | Wolves | |||||||||||
2025-02-19 | Wolves | @ | Silver Knights | |||||||||||
2025-02-22 | Stars | @ | Wolves | |||||||||||
2025-02-26 | Roadrunners | @ | Wolves | |||||||||||
2025-02-27 | Wolves | @ | Thunderbirds | |||||||||||
2025-03-02 | Silver Knights | @ | Wolves | |||||||||||
2025-03-03 | Wolves | @ | Thunderbirds | |||||||||||
2025-03-07 | Admirals | @ | Wolves | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-11 | Wolves | @ | Americans | |||||||||||
2025-03-13 | Eagles | @ | Wolves | |||||||||||
2025-03-18 | Wolves | @ | Moose | |||||||||||
2025-03-19 | Eagles | @ | Wolves | |||||||||||
2025-03-23 | Wolves | @ | Moose | |||||||||||
2025-03-24 | Firebirds | @ | Wolves | |||||||||||
2025-03-26 | Wolves | @ | Condors | |||||||||||
2025-03-30 | Firebirds | @ | Wolves | |||||||||||
2025-03-31 | Wolves | @ | Condors |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
1,936,111$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Chicago | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
1,936,111$ | 1,931,486$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
617,538$ | 10,638$ | 491,165$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 150 | 13,385$ | 1,820,360$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,820,360$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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