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Full Scoreboard »» |
Chicago Wolves 33-28-8, 74pts · 9th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 54 | LW/RW | 98.00 | 72 | 39 | 72 | 60 | 72 | 72 | 84 | 65 | 39 | 61 | 64 | 68 | 63 | 74 | 71 | 0 | 49 | 74 | 30 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 98 | 64 | 52 | 59 | 92 | 76 | 90 | 63 | 80 | 62 | 64 | 66 | 63 | 68 | 63 | 0 | 91 | 74 | 25 | 835,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 33 | 90 | 61 | 76 | 73 | 82 | 61 | 58 | 58 | 67 | 58 | 64 | 69 | 68 | 0 | 28 | 73 | 27 | 1,000,000$/2yrs | |||
![]() | 0 | LW | 98.00 | 74 | 32 | 86 | 65 | 65 | 74 | 74 | 61 | 60 | 63 | 67 | 60 | 64 | 62 | 61 | 0 | 53 | 73 | 22 | 821,250$/2yrs | |||
![]() | 7 | C | 100.00 | 68 | 36 | 85 | 55 | 71 | 74 | 74 | 56 | 75 | 58 | 58 | 76 | 57 | 72 | 70 | 0 | 51 | 71 | 28 | 775,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 66 | 40 | 80 | 65 | 83 | 73 | 60 | 63 | 69 | 58 | 57 | 66 | 66 | 65 | 66 | 0 | 26 | 71 | 23 | 800,000$/2yrs | |||
![]() | 64 | C | 100.00 | 87 | 42 | 50 | 64 | 73 | 64 | 60 | 62 | 65 | 57 | 55 | 63 | 64 | 63 | 58 | 0 | 51 | 70 | 25 | 800,000$/2yrs | |||
![]() | 63 | LW | 99.00 | 64 | 40 | 85 | 55 | 91 | 65 | 84 | 63 | 41 | 56 | 56 | 66 | 56 | 66 | 65 | 0 | 53 | 69 | 26 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 65 | 39 | 87 | 60 | 75 | 66 | 82 | 53 | 30 | 57 | 61 | 63 | 59 | 58 | 56 | 0 | 26 | 68 | 21 | 870,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 80 | 41 | 64 | 60 | 83 | 65 | 86 | 56 | 36 | 56 | 59 | 61 | 58 | 56 | 52 | 0 | 45 | 68 | 19 | 775,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 85 | 43 | 58 | 56 | 70 | 63 | 73 | 59 | 65 | 52 | 56 | 61 | 54 | 58 | 53 | 0 | 60 | 67 | 21 | 841,667$/2yrs | |||
![]() | 0 | LW | 100.00 | 64 | 38 | 86 | 53 | 78 | 62 | 74 | 60 | 38 | 51 | 53 | 64 | 52 | 63 | 61 | 0 | 29 | 66 | 24 | 850,000$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 38 | 85 | 52 | 67 | 61 | 82 | 62 | 66 | 54 | 48 | 65 | 51 | 62 | 61 | 0 | 33 | 66 | 25 | 800,000$/1yrs | |||
![]() | 0 | D | 98.00 | 66 | 35 | 83 | 62 | 81 | 86 | 88 | 60 | 30 | 69 | 56 | 62 | 58 | 68 | 66 | 0 | 83 | 75 | 26 | 1,000,000$/1yrs | |||
![]() | 0 | D | 99.00 | 73 | 33 | 85 | 56 | 78 | 81 | 73 | 56 | 30 | 62 | 54 | 61 | 55 | 61 | 59 | 0 | 33 | 71 | 21 | 847,500$/1yrs | |||
![]() | 67 | D | 99.00 | 64 | 33 | 79 | 55 | 80 | 83 | 90 | 52 | 30 | 58 | 55 | 66 | 54 | 68 | 66 | 0 | 54 | 70 | 26 | 1,100,000$/1yrs | |||
![]() | 0 | D | 99.00 | 65 | 38 | 90 | 53 | 82 | 66 | 75 | 50 | 30 | 58 | 50 | 65 | 53 | 66 | 65 | 0 | 53 | 68 | 26 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 92 | 45 | 50 | 47 | 98 | 61 | 90 | 46 | 30 | 52 | 48 | 67 | 50 | 66 | 61 | 0 | 32 | 66 | 27 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 42 | 51 | 49 | 79 | 62 | 88 | 48 | 30 | 55 | 50 | 65 | 53 | 63 | 58 | 0 | 51 | 66 | 24 | 800,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 56 | RW | 100.00 | 61 | 38 | 88 | 61 | 71 | 61 | 60 | 58 | 65 | 52 | 53 | 62 | 61 | 63 | 62 | 0 | 20 | 67 | 26 | ||||
![]() | 0 | RW | 100.00 | 94 | 42 | 53 | 50 | 69 | 60 | 83 | 60 | 38 | 48 | 48 | 64 | 48 | 61 | 56 | 0 | 20 | 64 | 23 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 66 | 39 | 80 | 51 | 69 | 59 | 82 | 60 | 67 | 49 | 50 | 63 | 49 | 59 | 57 | 0 | 19 | 64 | 22 | 850,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 83 | 42 | 53 | 52 | 80 | 59 | 76 | 59 | 41 | 51 | 49 | 62 | 50 | 57 | 52 | 0 | 19 | 64 | 21 | 826,111$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 33 | 89 | 55 | 81 | 83 | 71 | 57 | 30 | 61 | 54 | 69 | 56 | 65 | 64 | 0 | 33 | 72 | 24 | 800,000$/2yrs | |||
![]() | 21 | D | 100.00 | 62 | 38 | 88 | 52 | 73 | 63 | 73 | 49 | 30 | 58 | 48 | 66 | 53 | 64 | 63 | 0 | 20 | 67 | 25 | ||||
![]() | 49 | D | 100.00 | 78 | 37 | 91 | 56 | 85 | 78 | 60 | 56 | 30 | 47 | 45 | 58 | 45 | 63 | 65 | 0 | 20 | 66 | 26 | ||||
![]() | 0 | D | 100.00 | 67 | 39 | 79 | 50 | 71 | 61 | 79 | 48 | 30 | 56 | 48 | 64 | 52 | 61 | 59 | 0 | 20 | 66 | 24 | ||||
![]() | 0 | D | 100.00 | 78 | 41 | 63 | 48 | 83 | 62 | 86 | 46 | 30 | 52 | 48 | 65 | 50 | 63 | 59 | 0 | 19 | 65 | 25 | 950,000$/2yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 39 | 85 | 47 | 78 | 59 | 74 | 45 | 30 | 52 | 47 | 62 | 49 | 57 | 56 | 0 | 20 | 63 | 21 | ||||
![]() | 0 | D | 100.00 | 64 | 37 | 86 | 53 | 73 | 64 | 60 | 52 | 30 | 45 | 46 | 52 | 45 | 64 | 66 | 0 | 20 | 62 | 26 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 77 | 70 | 74 | 87 | 69 | 78 | 78 | 77 | 78 | 77 | 78 | 64 | 64 | 0 | 54 | 79 | 24 | 850,000$/2yrs |
![]() | 31 | 100.00 | 69 | 68 | 69 | 84 | 74 | 69 | 74 | 77 | 74 | 77 | 74 | 79 | 82 | 0 | 64 | 78 | 32 | 1,200,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 34 | 100.00 | 68 | 75 | 69 | 72 | 78 | 76 | 74 | 68 | 76 | 70 | 73 | 83 | 83 | 0 | 20 | 77 | 35 | 775,000$/1yrs |
![]() | 0 | 100.00 | 74 | 73 | 71 | 89 | 61 | 76 | 74 | 74 | 76 | 76 | 74 | 62 | 62 | 0 | 20 | 77 | 24 | 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 | Dylan Gambrell | C | 67 | 20 | 28 | 48 | 14 | 8 | 0 | 51 | 222 | 56 | 142 | 9.01% | 23 | 19.91 | 1 | 10 | 11 | 144 | 0 | 1 | 1 | 192 | 2 | 0 | 55.68% | 1620 | 0 | 0 | 0 | 1 | 0.72 | 0 | 4 | ||
2 | Charles Hudon | LW/RW | 61 | 12 | 23 | 35 | -4 | 22 | 0 | 79 | 214 | 73 | 192 | 5.61% | 19 | 21.20 | 2 | 7 | 9 | 145 | 0 | 0 | 0 | 139 | 2 | 2 | 32.12% | 411 | 0 | 0 | 0 | 0 | 0.54 | 0 | 1 | ||
3 | Matthew Kessel | D | 62 | 9 | 25 | 34 | 8 | 26 | 0 | 46 | 99 | 29 | 57 | 9.09% | 105 | 23.02 | 6 | 3 | 9 | 158 | 0 | 0 | 0 | 180 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
4 | Brett Berard | LW | 69 | 14 | 20 | 34 | 5 | 20 | 0 | 55 | 174 | 53 | 133 | 8.05% | 13 | 17.60 | 3 | 1 | 4 | 114 | 0 | 0 | 0 | 112 | 1 | 1 | 36.59% | 164 | 0 | 0 | 1 | 0 | 0.56 | 1 | 3 | ||
5 | Jordan Bellerive | C | 69 | 12 | 21 | 33 | -1 | 68 | 0 | 189 | 161 | 51 | 115 | 7.45% | 10 | 16.44 | 0 | 6 | 6 | 113 | 3 | 0 | 3 | 101 | 2 | 2 | 52.33% | 1225 | 0 | 0 | 0 | 0 | 0.58 | 0 | 3 | ||
6 | Tim Gettinger | LW | 69 | 13 | 15 | 28 | 0 | 7 | 5 | 33 | 175 | 58 | 150 | 7.43% | 12 | 18.60 | 4 | 3 | 7 | 148 | 0 | 0 | 0 | 131 | 1 | 3 | 46.23% | 106 | 0 | 0 | 0 | 0 | 0.44 | 1 | 2 | ||
7 | Conor Timmins | D | 61 | 3 | 25 | 28 | -2 | 32 | 0 | 106 | 79 | 23 | 46 | 3.80% | 75 | 22.28 | 1 | 7 | 8 | 143 | 0 | 0 | 0 | 180 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
8 | Kasper Halttunen | RW | 58 | 15 | 13 | 28 | 6 | 46 | 10 | 142 | 142 | 30 | 85 | 10.56% | 13 | 16.85 | 1 | 1 | 2 | 88 | 0 | 0 | 0 | 18 | 7 | 0 | 38.46% | 78 | 0 | 0 | 0 | 0 | 0.57 | 0 | 1 | ||
9 | James Malatesta | LW | 66 | 9 | 15 | 24 | 1 | 48 | 10 | 146 | 92 | 32 | 74 | 9.78% | 5 | 11.82 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 40.98% | 61 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
10 | Cale Fleury | D | 69 | 7 | 16 | 23 | 3 | 16 | 0 | 70 | 56 | 19 | 48 | 12.50% | 99 | 20.06 | 3 | 2 | 5 | 143 | 0 | 0 | 0 | 205 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
11 | Jett Woo | D | 65 | 4 | 17 | 21 | -3 | 52 | 0 | 145 | 39 | 10 | 20 | 10.26% | 68 | 14.97 | 0 | 0 | 0 | 25 | 0 | 1 | 1 | 47 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
12 | Owen Pederson | C/LW | 46 | 6 | 13 | 19 | 7 | 7 | 5 | 36 | 108 | 38 | 106 | 5.56% | 6 | 15.01 | 1 | 4 | 5 | 72 | 0 | 0 | 0 | 59 | 2 | 1 | 50.92% | 542 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
13 | Aleksanteri Kaskimaki | C | 60 | 7 | 12 | 19 | -14 | 7 | 5 | 14 | 121 | 35 | 79 | 5.79% | 9 | 15.12 | 0 | 0 | 0 | 20 | 0 | 0 | 0 | 1 | 3 | 0 | 30.37% | 652 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
14 | Carl Grundstrom | LW/RW | 40 | 11 | 5 | 16 | -2 | 22 | 0 | 53 | 94 | 30 | 83 | 11.70% | 6 | 18.23 | 0 | 0 | 0 | 80 | 0 | 0 | 0 | 54 | 3 | 1 | 43.04% | 237 | 0 | 0 | 0 | 0 | 0.44 | 1 | 1 | ||
15 | Mark Kastelic | C | 24 | 6 | 9 | 15 | 2 | 27 | 5 | 72 | 81 | 21 | 39 | 7.41% | 2 | 19.33 | 0 | 1 | 1 | 44 | 0 | 0 | 0 | 48 | 3 | 0 | 56.70% | 418 | 0 | 0 | 0 | 0 | 0.65 | 0 | 1 | ||
16 | Nolan Allan | D | 33 | 2 | 10 | 12 | 6 | 20 | 0 | 42 | 17 | 1 | 20 | 11.76% | 33 | 17.55 | 0 | 0 | 0 | 27 | 0 | 0 | 0 | 25 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
17 | Damien Giroux | C | 58 | 4 | 5 | 9 | 6 | 0 | 0 | 6 | 36 | 13 | 25 | 11.11% | 4 | 6.63 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 23 | 0 | 0 | 45.66% | 219 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
18 | Keaton Middleton | D | 57 | 2 | 5 | 7 | -4 | 62 | 10 | 95 | 31 | 7 | 12 | 6.45% | 35 | 11.28 | 2 | 0 | 2 | 32 | 0 | 1 | 1 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
19 | Jacob Melanson | RW | 31 | 3 | 3 | 6 | 1 | 14 | 0 | 48 | 38 | 13 | 23 | 7.89% | 5 | 11.55 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 1 | 0 | 31.25% | 16 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
20 | Juuso Valimaki | D | 11 | 1 | 4 | 5 | 0 | 4 | 0 | 14 | 15 | 3 | 12 | 6.67% | 17 | 23.73 | 1 | 0 | 1 | 24 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
21 | Adam Raska | RW | 23 | 1 | 4 | 5 | -7 | 20 | 0 | 61 | 25 | 9 | 14 | 4.00% | 3 | 12.93 | 0 | 3 | 3 | 44 | 0 | 0 | 0 | 2 | 0 | 0 | 53.33% | 30 | 0 | 0 | 0 | 0 | 0.34 | 0 | 1 | ||
22 | Adam Ginning | D | 31 | 1 | 2 | 3 | 0 | 18 | 0 | 45 | 9 | 3 | 6 | 11.11% | 23 | 9.48 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
23 | Sampo Ranta | LW | 38 | 2 | 0 | 2 | -3 | 2 | 0 | 11 | 23 | 6 | 28 | 8.70% | 2 | 6.39 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 6 | 0 | 0 | 38.46% | 13 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
24 | Tyson Kozak | C | 32 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 75.00% | 12 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1200 | 164 | 290 | 454 | 20 | 548 | 50 | 1559 | 2053 | 613 | 1509 | 7.99% | 587 | 15.86 | 25 | 49 | 74 | 1596 | 3 | 3 | 6 | 1612 | 32 | 13 | 48.02% | 5804 | 0 | 0 | 1 | 1 | 0.48 | 3 | 17 |
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 | 41 | 19 | 18 | 3 | 0.916 | 2.71 | 2368 | 0 | 1 | 107 | 1273 | 0 | 2 | 1 | 0.600 | 5 | 40 | 20 | 5 | 3 | 0 | |
2 | Calvin Pickard | 26 | 12 | 8 | 4 | 0.923 | 2.38 | 1511 | 0 | 0 | 60 | 780 | 0 | 0 | 0 | 0.556 | 9 | 24 | 39 | 4 | 1 | 4 | |
3 | Troy Grosenick | 1 | 1 | 0 | 0 | 0.929 | 2.00 | 60 | 0 | 0 | 2 | 28 | 0 | 0 | 0 | 0.000 | 0 | 1 | 7 | 0 | 0 | 0 | |
4 | Mack Guzda | 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 | 72 | 33 | 28 | 8 | 0.918 | 2.59 | 4186 | 0 | 1 | 181 | 2217 | 0 | 2 | 1 | 0.647 | 17 | 69 | 69 | 9 | 5 | 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 | 25 | 950,000$ | 950,000$ | 950,000$ | ||||||
Adam Raska | RW | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
Aleksanteri Kaskimaki | C | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Artemi Knyazev | D | 24 | 0$ | ||||||||
Brett Berard | LW | 22 | 821,250$ | 867,500$ | 775,000$ | RFA | |||||
Cale Fleury | D | 26 | 800,000$ | 800,000$ | |||||||
Calvin Pickard | G | 32 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Carl Grundstrom | LW/RW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Charles Hudon | LW/RW | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Conor Timmins | D | 26 | 1,100,000$ | 1,100,000$ | |||||||
Damien Giroux | C | 25 | 800,000$ | 800,000$ | |||||||
David Farrance | D | 25 | 0$ | ||||||||
Dylan Gambrell | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Filip Kral | D | 25 | 800,000$ | 800,000$ | |||||||
Frederic Brunet | D | 21 | 0$ | RFA | |||||||
Henrik Tikkanen | G | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
Jacob Melanson | RW | 21 | 826,111$ | 826,111$ | 826,111$ | RFA | |||||
James Malatesta | LW | 21 | 841,667$ | 841,667$ | 841,667$ | RFA | |||||
Jan Drozg | RW | 26 | 0$ | ||||||||
Jett Woo | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jordan Bellerive | C | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Juuso Valimaki | D | 26 | 1,000,000$ | 1,000,000$ | |||||||
Kasper Halttunen | RW | 19 | 775,000$ | 775,000$ | RFA | ||||||
Keaton Middleton | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Mack Guzda | G | 24 | 897,500$ | 897,500$ | |||||||
Mark Kastelic | C | 25 | 835,000$ | 835,000$ | |||||||
Matthew Kessel | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Matthew Kessel | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Niclas Almari | D | 26 | 0$ | ||||||||
Nolan Allan | D | 21 | 847,500$ | 847,500$ | RFA | ||||||
Owen Pederson | C/LW | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
Sampo Ranta | LW | 24 | 850,000$ | 850,000$ | |||||||
Tim Gettinger | LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Tobias Geisser | D | 26 | 0$ | ||||||||
Troy Grosenick | G | 35 | 775,000$ | 775,000$ | UFA | ||||||
Tyson Kozak | C | 22 | 850,000$ | 850,000$ | 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 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 7 | 10 | -3 | 4 | 0.500 | 7 | 13 | 20 | 0 | 0 | 57 | 57 | 50 | 10 | 120 | 660 | 718 | 703 | 60 | 135 | 37 | 33 | 107 | 16 | 3 | 18.75% | 13 | 1 | 92.31% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 30.8% | 5.8% | 92.6% | 98.4 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 57 | 57 | 50 | 10 | 23 | 660 | 718 | 703 | 60 | 22 | 12 | 10 | 23 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 50.0% | 8.7% | 86.4% | 95.1 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 57 | 57 | 50 | 10 | 35 | 660 | 718 | 703 | 60 | 31 | 10 | 6 | 19 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 28.6% | 5.7% | 80.6% | 86.4 | Unlucky | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 57 | 57 | 50 | 10 | 35 | 660 | 718 | 703 | 60 | 28 | 11 | 6 | 17 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 40.0% | 5.7% | 89.3% | 95.0 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 57 | 57 | 50 | 10 | 20 | 660 | 718 | 703 | 60 | 34 | 5 | 10 | 20 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 66.7% | 10.0% | 91.2% | 101.2 | LUCKY | |
6 | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 8 | 10 | -2 | 5 | 0.625 | 8 | 14 | 22 | 0 | 0 | 57 | 57 | 50 | 10 | 120 | 660 | 718 | 703 | 60 | 137 | 53 | 40 | 97 | 10 | 0 | 0.00% | 20 | 4 | 80.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 57.1% | 6.7% | 92.7% | 99.4 | DULL | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 57 | 57 | 50 | 10 | 40 | 660 | 718 | 703 | 60 | 14 | 2 | 2 | 17 | 6 | 1 | 16.67% | 1 | 1 | 0.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 100.0% | 10.0% | 92.9% | 102.9 | LUCKY | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 1 | 0 | 57 | 57 | 50 | 10 | 72 | 660 | 718 | 703 | 60 | 59 | 26 | 10 | 50 | 8 | 2 | 25.00% | 4 | 2 | 50.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 50.0% | 6.9% | 91.5% | 98.5 | DULL | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 57 | 57 | 50 | 10 | 36 | 660 | 718 | 703 | 60 | 30 | 7 | 6 | 32 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 75.0% | 11.1% | 93.3% | 104.4 | LUCKY | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 57 | 57 | 50 | 10 | 27 | 660 | 718 | 703 | 60 | 34 | 13 | 10 | 20 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 20.0% | 3.7% | 88.2% | 91.9 | Unlucky | |
11 | 5 | 2 | 1 | 0 | 0 | 0 | 1 | 1 | 16 | 15 | 1 | 7 | 0.700 | 16 | 30 | 46 | 0 | 0 | 57 | 57 | 50 | 10 | 173 | 660 | 718 | 703 | 60 | 172 | 51 | 36 | 136 | 18 | 4 | 22.22% | 16 | 4 | 75.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 52.2% | 9.2% | 91.3% | 100.5 | LUCKY | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 57 | 57 | 50 | 10 | 69 | 660 | 718 | 703 | 60 | 65 | 17 | 24 | 34 | 5 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 66.7% | 2.9% | 93.8% | 96.7 | DULL | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 57 | 57 | 50 | 10 | 74 | 660 | 718 | 703 | 60 | 50 | 16 | 10 | 50 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 75.0% | 8.1% | 94.0% | 102.1 | DULL | |
14 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 14 | -9 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 57 | 57 | 50 | 10 | 97 | 660 | 718 | 703 | 60 | 135 | 38 | 50 | 110 | 19 | 1 | 5.26% | 25 | 7 | 72.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 36.4% | 5.2% | 89.6% | 94.8 | Unlucky | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 57 | 57 | 50 | 10 | 33 | 660 | 718 | 703 | 60 | 23 | 3 | 8 | 22 | 1 | 1 | 100.00% | 4 | 0 | 100.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 50.0% | 12.1% | 87.0% | 99.1 | FUN | |
16 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 57 | 57 | 50 | 10 | 69 | 660 | 718 | 703 | 60 | 69 | 18 | 14 | 45 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 55.6% | 7.2% | 92.8% | 100.0 | DULL | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 57 | 57 | 50 | 10 | 37 | 660 | 718 | 703 | 60 | 75 | 27 | 24 | 45 | 6 | 2 | 33.33% | 12 | 2 | 83.33% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 22.2% | 10.8% | 88.0% | 98.8 | FUN | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 57 | 57 | 50 | 10 | 51 | 660 | 718 | 703 | 60 | 76 | 13 | 12 | 48 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 45.5% | 11.8% | 90.8% | 102.6 | FUN | |
19 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 7 | 3 | 5 | 0.833 | 10 | 20 | 30 | 0 | 0 | 57 | 57 | 50 | 10 | 96 | 660 | 718 | 703 | 60 | 83 | 28 | 18 | 81 | 9 | 2 | 22.22% | 9 | 0 | 100.00% | 2 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 53.3% | 10.4% | 91.6% | 102.0 | LUCKY | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 57 | 57 | 50 | 10 | 51 | 660 | 718 | 703 | 60 | 55 | 12 | 19 | 48 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 50.0% | 7.8% | 92.7% | 100.6 | DULL | |
21 | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 10 | 9 | 1 | 5 | 0.625 | 10 | 18 | 28 | 0 | 0 | 57 | 57 | 50 | 10 | 106 | 660 | 718 | 703 | 60 | 114 | 39 | 23 | 95 | 13 | 1 | 7.69% | 8 | 0 | 100.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 50.0% | 9.4% | 92.1% | 101.5 | LUCKY | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 57 | 57 | 50 | 10 | 44 | 660 | 718 | 703 | 60 | 30 | 5 | 14 | 31 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 33.3% | 2.3% | 93.3% | 95.6 | DULL | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 57 | 57 | 50 | 10 | 22 | 660 | 718 | 703 | 60 | 40 | 12 | 11 | 22 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 80.0% | 18.2% | 97.5% | 115.7 | LUCKY | |
24 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 7 | 9 | 8 | 1.000 | 16 | 28 | 44 | 0 | 1 | 57 | 57 | 50 | 10 | 149 | 660 | 718 | 703 | 60 | 111 | 25 | 43 | 97 | 15 | 4 | 26.67% | 12 | 0 | 100.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 63.2% | 10.7% | 93.7% | 104.4 | LUCKY | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 57 | 57 | 50 | 10 | 54 | 660 | 718 | 703 | 60 | 85 | 26 | 24 | 49 | 5 | 2 | 40.00% | 10 | 2 | 80.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 66.7% | 11.1% | 95.3% | 106.4 | LUCKY | |
26 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | -3 | 4 | 0.500 | 10 | 19 | 29 | 0 | 0 | 57 | 57 | 50 | 10 | 126 | 660 | 718 | 703 | 60 | 135 | 46 | 41 | 96 | 6 | 0 | 0.00% | 17 | 3 | 82.35% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 50.0% | 7.9% | 90.4% | 98.3 | Unlucky | |
27 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 57 | 57 | 50 | 10 | 31 | 660 | 718 | 703 | 60 | 35 | 13 | 6 | 26 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 42.9% | 9.7% | 88.6% | 98.2 | FUN | |
28 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 57 | 57 | 50 | 10 | 37 | 660 | 718 | 703 | 60 | 37 | 9 | 2 | 29 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 57.1% | 10.8% | 91.9% | 102.7 | LUCKY | |
29 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.250 | 6 | 11 | 17 | 0 | 0 | 57 | 57 | 50 | 10 | 133 | 660 | 718 | 703 | 60 | 153 | 33 | 45 | 105 | 14 | 2 | 14.29% | 19 | 3 | 84.21% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 40.0% | 4.5% | 94.1% | 98.6 | DULL | |
30 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 57 | 57 | 50 | 10 | 73 | 660 | 718 | 703 | 60 | 50 | 15 | 12 | 49 | 8 | 0 | 0.00% | 4 | 1 | 75.00% | 1 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 55.6% | 6.8% | 90.0% | 96.8 | Unlucky | |
31 | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 8 | 11 | -3 | 3 | 0.500 | 8 | 14 | 22 | 0 | 0 | 57 | 57 | 50 | 10 | 71 | 660 | 718 | 703 | 60 | 101 | 46 | 28 | 71 | 5 | 1 | 20.00% | 14 | 3 | 78.57% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 46.7% | 11.3% | 89.1% | 100.4 | FUN | |
_Vs Division | 29 | 9 | 10 | 0 | 4 | 3 | 1 | 1 | 75 | 84 | -9 | 32 | 0.552 | 75 | 136 | 211 | 0 | 1 | 57 | 57 | 50 | 10 | 859 | 660 | 718 | 703 | 60 | 955 | 292 | 269 | 724 | 94 | 13 | 13.83% | 116 | 21 | 81.90% | 0 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 49.6% | 8.7% | 91.2% | 99.9 | DULL | |
_Vs Conference | 48 | 17 | 18 | 0 | 6 | 3 | 1 | 3 | 116 | 126 | -10 | 54 | 0.563 | 116 | 210 | 326 | 0 | 1 | 57 | 57 | 50 | 10 | 1485 | 660 | 718 | 703 | 60 | 1588 | 473 | 435 | 1189 | 145 | 19 | 13.10% | 187 | 34 | 81.82% | 1 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 51.3% | 7.8% | 92.1% | 99.9 | DULL | |
_Since Last GM Reset | 69 | 25 | 28 | 0 | 7 | 4 | 1 | 4 | 172 | 186 | -14 | 74 | 0.536 | 172 | 310 | 482 | 1 | 1 | 57 | 57 | 50 | 10 | 2124 | 660 | 718 | 703 | 60 | 2218 | 668 | 597 | 1691 | 203 | 29 | 14.29% | 260 | 45 | 82.69% | 3 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 50.4% | 8.1% | 91.6% | 99.7 | DULL | |
Total | 69 | 25 | 28 | 0 | 7 | 4 | 1 | 4 | 172 | 186 | -14 | 74 | 0.536 | 172 | 310 | 482 | 1 | 1 | 57 | 57 | 50 | 10 | 2124 | 660 | 718 | 703 | 60 | 2218 | 668 | 597 | 1691 | 203 | 29 | 14.29% | 260 | 45 | 82.69% | 3 | 1125 | 2427 | 46.35% | 1230 | 2517 | 48.87% | 530 | 1035 | 51.21% | 1606 | 1060 | 1648 | 542 | 939 | 466 | 50.4% | 8.1% | 91.6% | 99.7 | DULL |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2427 |
Neutral Zone Start | 1035 |
Defensive Zone Start | 2517 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2885 |
Faceoffs Lost | 3094 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 30.2 | 30.68 |
Overtime | 31.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 139 |
---|---|
PP Goal | 29 |
PK Goal | 3 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 15 | 18 |
Lost | 16 | 12 |
Overtime Lost | 4 | 4 |
PP Attempt | 203 |
---|---|
PP Goal | 29 |
PK Attempt | 260 |
PK Goal Against | 45 |
Home | |
---|---|
Shots For | 30.8 |
Shots Against | 32.1 |
Goals For | 2.5 |
Goals Against | 2.7 |
Hits | 24.5 |
Shots Blocked | 9.7 |
Pim | 8.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-09 | @ | Wild3,Wolves4 (SO) | RECAP | |||||||||||
2024-10-11 | @ | Stars4,Wolves2 | RECAP | |||||||||||
2024-10-13 | @ | Wolves2,Bruins3 (OT) | RECAP | |||||||||||
2024-10-15 | @ | Barracuda2,Wolves1 | RECAP | |||||||||||
2024-10-18 | @ | Wolves2,Bruins1 | RECAP | |||||||||||
2024-10-21 | @ | Moose3,Wolves5 | RECAP | |||||||||||
2024-10-25 | @ | Wolves4,IceHogs3 (OT) | RECAP | |||||||||||
2024-10-27 | @ | IceHogs3,Wolves1 | RECAP | |||||||||||
2024-10-29 | @ | Wolves2,Admirals4 | RECAP | |||||||||||
2024-10-30 | @ | Wranglers2,Wolves3 | RECAP | |||||||||||
2024-11-01 | @ | Wolves4,Wranglers3 (OT) | RECAP | |||||||||||
2024-11-03 | @ | Wolves3,Stars2 | RECAP | |||||||||||
2024-11-04 | @ | Wild4,Wolves3 (SO) | RECAP | |||||||||||
2024-11-07 | @ | Wolves3,Wild5 | RECAP | |||||||||||
2024-11-09 | @ | Wild1,Wolves3 | RECAP | |||||||||||
2024-11-11 | @ | Wolves5,Firebirds4 (OT) | RECAP | |||||||||||
2024-11-13 | @ | Wolves3,Gulls2 | RECAP | |||||||||||
2024-11-14 | @ | Bears4,Wolves1 | RECAP | |||||||||||
2024-11-16 | @ | Wolves5,Stars3 | RECAP | |||||||||||
2024-11-17 | @ | Wolves3,Wild2 | RECAP | |||||||||||
2024-11-19 | @ | Monsters1,Wolves4 | RECAP | |||||||||||
2024-11-22 | @ | Wolves1,Firebirds2 (OT) | RECAP | |||||||||||
2024-11-24 | @ | Phantoms3,Wolves2 | RECAP | |||||||||||
2024-11-27 | @ | IceHogs2,Wolves1 (OT) | RECAP | |||||||||||
2024-11-29 | @ | Wolves0,Wranglers1 | RECAP | |||||||||||
2024-12-03 | @ | Wolf Pack1,Wolves4 | RECAP | |||||||||||
2024-12-05 | @ | Wolves2,Islanders3 | RECAP | |||||||||||
2024-12-10 | @ | Americans3,Wolves2 | RECAP | |||||||||||
2024-12-12 | @ | Wolves4,Roadrunners1 | RECAP | |||||||||||
2024-12-13 | @ | Wolves2,Senators3 | RECAP | |||||||||||
2024-12-14 | @ | Barracuda2,Wolves1 | RECAP | |||||||||||
2024-12-21 | @ | Barracuda4,Wolves1 | RECAP | |||||||||||
2024-12-24 | @ | Wolves1,Griffins3 | RECAP | |||||||||||
2024-12-26 | @ | Wranglers4,Wolves0 | RECAP | |||||||||||
2024-12-28 | @ | Wolves1,Admirals4 | RECAP | |||||||||||
2024-12-29 | @ | Checkers2,Wolves1 | RECAP | |||||||||||
2025-01-02 | @ | Wolves0,Canucks1 | RECAP | |||||||||||
2025-01-04 | @ | Gulls2,Wolves3 | RECAP | |||||||||||
2025-01-06 | @ | Wolves4,Reign2 | RECAP | |||||||||||
2025-01-08 | @ | Wolves3,Eagles4 (OT) | RECAP | |||||||||||
2025-01-09 | @ | Griffins2,Wolves4 | RECAP | |||||||||||
2025-01-13 | @ | Condors2,Wolves3 (OT) | RECAP | |||||||||||
2025-01-17 | @ | Wolves3,Barracuda1 | RECAP | |||||||||||
2025-01-19 | @ | Reign1,Wolves2 | RECAP | |||||||||||
2025-01-22 | @ | Wolves4,Crunch3 | RECAP | |||||||||||
2025-01-24 | @ | Wolves2,Comets6 | RECAP | |||||||||||
2025-01-25 | @ | Rocket2,Wolves4 | RECAP | |||||||||||
2025-01-28 | @ | Wolves6,Bruins3 | RECAP | |||||||||||
2025-01-29 | @ | Wolves0,Eagles3 | RECAP | |||||||||||
2025-01-30 | @ | Moose0,Wolves4 | RECAP | |||||||||||
2025-02-02 | @ | Canucks3,Wolves2 | RECAP | |||||||||||
2025-02-06 | @ | Wolves4,Penguins3 (OT) | RECAP | |||||||||||
2025-02-09 | @ | Marlies4,Wolves3 (SO) | RECAP | |||||||||||
2025-02-12 | @ | Condors3,Wolves2 (SO) | RECAP | |||||||||||
2025-02-13 | @ | Wolves4,IceHogs1 | RECAP | |||||||||||
2025-02-16 | @ | Admirals3,Wolves0 | RECAP | |||||||||||
2025-02-19 | @ | Wolves2,Silver Knights3 (SO) | RECAP | |||||||||||
2025-02-22 | @ | Stars4,Wolves0 | RECAP | |||||||||||
2025-02-26 | @ | Roadrunners6,Wolves2 | RECAP | |||||||||||
2025-02-27 | @ | Wolves3,Thunderbirds4 | RECAP | |||||||||||
2025-03-02 | @ | Silver Knights2,Wolves3 | RECAP | |||||||||||
2025-03-03 | @ | Wolves1,Thunderbirds5 | RECAP | |||||||||||
2025-03-07 | @ | Admirals3,Wolves2 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-11 | @ | Wolves2,Americans1 | RECAP | |||||||||||
2025-03-13 | @ | Eagles2,Wolves3 | RECAP | |||||||||||
2025-03-18 | @ | Wolves4,Moose3 (OT) | RECAP | |||||||||||
2025-03-19 | @ | Eagles1,Wolves2 (OT) | RECAP | |||||||||||
2025-03-23 | @ | Wolves3,Moose1 | RECAP | |||||||||||
2025-03-24 | @ | Firebirds5,Wolves2 | RECAP | |||||||||||
2025-03-26 | @ | |||||||||||||
2025-03-30 | @ | |||||||||||||
2025-03-31 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,405,028$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | 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 |
1 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,405,028$ | 2,400,403$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,606,187$ | 13,214$ | 2,136,426$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 25 | 15,962$ | 175,582$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
175,582$ | 0$ | 0$ | 0$ |
Sponsors | |||
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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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