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Full Scoreboard »» |
Chicago Wolves Team Overall:68 43-24-6, 92pts · 3rd in Conférence Ouest |
Player | # | POS | CON | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 25 | 74 | 39 | 88 | 70 | 72 | 81 | 84 | 69 | 66 | 71 | 62 | 57 | 69 | 71 | 66 | 0 | 40 | 71 | 100.00 | 750,000$/3yrs | ||
![]() | 0 | RW | 100.00 | 26 | 63 | 45 | 85 | 68 | 78 | 81 | 75 | 67 | 58 | 65 | 66 | 64 | 69 | 73 | 68 | 0 | 40 | 71 | 100.00 | 700,000$/3yrs | ||
![]() | 0 | LW/RW | 100.00 | 22 | 72 | 45 | 88 | 66 | 95 | 72 | 69 | 64 | 57 | 61 | 63 | 65 | 67 | 65 | 62 | 0 | 40 | 70 | 100.00 | 1,137,500$/3yrs | ||
![]() | 0 | LW/RW | 100.00 | 24 | 89 | 47 | 77 | 63 | 80 | 74 | 87 | 62 | 58 | 61 | 59 | 57 | 63 | 68 | 65 | 0 | 40 | 69 | 100.00 | 1,050,000$/3yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 27 | 61 | 43 | 90 | 66 | 75 | 77 | 76 | 64 | 67 | 65 | 62 | 63 | 66 | 73 | 67 | 0 | 40 | 69 | 100.00 | 735,000$/3yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 29 | 59 | 43 | 85 | 66 | 73 | 76 | 71 | 64 | 61 | 63 | 65 | 62 | 66 | 77 | 69 | 0 | 40 | 69 | 100.00 | 775,000$/1yrs | ||
![]() | 0 | LW/RW | 100.00 | 28 | 62 | 42 | 88 | 65 | 73 | 80 | 77 | 63 | 61 | 64 | 64 | 62 | 65 | 77 | 69 | 0 | 40 | 69 | 100.00 | 700,000$/3yrs | ||
![]() | 0 | C/RW | 100.00 | 23 | 69 | 45 | 88 | 66 | 86 | 75 | 73 | 64 | 71 | 63 | 62 | 65 | 63 | 65 | 64 | 0 | 40 | 69 | 100.00 | 815,000$/3yrs | ||
![]() | 0 | LW | 100.00 | 23 | 66 | 52 | 82 | 62 | 85 | 78 | 77 | 61 | 57 | 60 | 60 | 63 | 62 | 67 | 64 | 0 | 40 | 68 | 100.00 | 735,000$/3yrs | ||
![]() | 0 | C/RW | 100.00 | 27 | 56 | 41 | 88 | 65 | 63 | 77 | 76 | 64 | 62 | 63 | 63 | 59 | 65 | 75 | 68 | 0 | 40 | 68 | 100.00 | 1,250,000$/3yrs | ||
![]() | 0 | C/RW | 100.00 | 24 | 65 | 46 | 89 | 64 | 83 | 78 | 75 | 62 | 58 | 59 | 63 | 61 | 64 | 69 | 65 | 0 | 40 | 68 | 100.00 | 722,500$/3yrs | ||
![]() | 0 | RW | 100.00 | 22 | 62 | 46 | 87 | 65 | 80 | 78 | 76 | 63 | 58 | 62 | 60 | 64 | 61 | 65 | 63 | 0 | 40 | 68 | 100.00 | 677,777$/3yrs | ||
![]() | 0 | D | 100.00 | 24 | 77 | 46 | 88 | 63 | 88 | 77 | 75 | 61 | 30 | 62 | 56 | 60 | 53 | 67 | 64 | 0 | 40 | 68 | 100.00 | 801,667$/3yrs | ||
![]() | 0 | D | 100.00 | 26 | 65 | 42 | 85 | 66 | 74 | 84 | 78 | 64 | 30 | 65 | 57 | 59 | 53 | 71 | 66 | 0 | 40 | 68 | 100.00 | 700,000$/3yrs | ||
![]() | 0 | D | 100.00 | 23 | 58 | 42 | 88 | 66 | 73 | 75 | 69 | 64 | 30 | 65 | 58 | 63 | 54 | 67 | 64 | 0 | 40 | 68 | 100.00 | 916,666$/3yrs | ||
![]() | 0 | D | 100.00 | 26 | 64 | 43 | 89 | 63 | 76 | 81 | 72 | 62 | 30 | 61 | 58 | 64 | 55 | 73 | 76 | 0 | 40 | 68 | 100.00 | 700,000$/3yrs | ||
![]() | 0 | D | 100.00 | 26 | 59 | 45 | 89 | 60 | 73 | 85 | 74 | 58 | 30 | 59 | 57 | 62 | 53 | 71 | 66 | 0 | 40 | 66 | 100.00 | 700,000$/3yrs | ||
![]() | 0 | D | 100.00 | 22 | 63 | 49 | 79 | 61 | 78 | 80 | 76 | 59 | 30 | 58 | 56 | 64 | 53 | 65 | 62 | 0 | 40 | 66 | 100.00 | 871,666$/3yrs | ||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 22 | 87 | 49 | 81 | 63 | 74 | 72 | 83 | 61 | 53 | 60 | 64 | 56 | 63 | 65 | 66 | 0 | 40 | 68 | 100.00 | 925,000$/3yrs | ||
![]() | 0 | C | 100.00 | 23 | 58 | 43 | 88 | 63 | 71 | 75 | 78 | 61 | 67 | 62 | 59 | 60 | 63 | 67 | 64 | 0 | 40 | 67 | 100.00 | 1,000,000$/2yrs | ||
![]() | 0 | LW/RW | 100.00 | 23 | 58 | 43 | 89 | 64 | 71 | 82 | 81 | 63 | 58 | 61 | 62 | 59 | 68 | 65 | 63 | 0 | 40 | 67 | 100.00 | 750,000$/3yrs | ||
![]() | 0 | C | 100.00 | 24 | 63 | 39 | 87 | 62 | 72 | 80 | 78 | 61 | 67 | 60 | 60 | 59 | 62 | 69 | 65 | 0 | 40 | 67 | 100.00 | 715,000$/3yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 25 | 59 | 45 | 87 | 63 | 72 | 78 | 77 | 62 | 69 | 60 | 61 | 59 | 63 | 71 | 66 | 0 | 40 | 67 | 100.00 | 700,000$/3yrs | ||
![]() | 0 | C/RW | 100.00 | 26 | 55 | 45 | 86 | 63 | 66 | 79 | 78 | 62 | 74 | 61 | 60 | 59 | 62 | 71 | 66 | 0 | 40 | 67 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | C | 100.00 | 22 | 58 | 49 | 83 | 63 | 72 | 88 | 82 | 61 | 73 | 60 | 62 | 58 | 63 | 65 | 61 | 0 | 40 | 67 | 100.00 | 690,000$/3yrs | ||
![]() | 0 | LW | 100.00 | 22 | 60 | 43 | 90 | 63 | 74 | 86 | 84 | 62 | 59 | 61 | 57 | 59 | 62 | 65 | 63 | 0 | 40 | 67 | 100.00 | 710,000$/3yrs | ||
![]() | 0 | D | 100.00 | 24 | 66 | 51 | 83 | 61 | 85 | 75 | 71 | 59 | 30 | 58 | 57 | 60 | 53 | 67 | 64 | 0 | 40 | 66 | 100.00 | 735,000$/3yrs | ||
![]() | 0 | D | 100.00 | 23 | 60 | 46 | 85 | 61 | 69 | 76 | 72 | 59 | 30 | 60 | 56 | 57 | 45 | 65 | 63 | 0 | 40 | 65 | 100.00 | 925,000$/2yrs | ||
TEAM AVERAGE | 100.00 |
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 | AGE | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 23 | 79 | 68 | 70 | 79 | 79 | 78 | 67 | 71 | 0 | 40 | 68 | 767,500$/3yrs | ||||||||
![]() | 0 | 100.00 | 25 | 74 | 82 | 84 | 74 | 74 | 73 | 69 | 73 | 0 | 40 | 66 | 700,000$/3yrs | ||||||||
Scratches | |||||||||||||||||||||||
![]() | 0 | 100.00 | 24 | 71 | 73 | 75 | 71 | 71 | 70 | 69 | 73 | 0 | 40 | 64 | 700,000$/3yrs | ||||||||
TEAM AVERAGE | 99.67 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd Richards | 82 | 77 | 85 | 81 | 55 | 70 | 1 | USA | 52 | 1 | 525,000$ |
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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Martin Frk | RW | 71 | 26 | 34 | 60 | 18 | 20 | 0 | 85 | 227 | 67 | 154 | 11.45% | 11 | 16.20 | 3 | 16 | 19 | 196 | 1 | 0 | 1 | 40 | 5 | 1 | 48.96% | 96 | 0 | 0 | 0 | 0 | 1.04 | 0 | 3 | |||
2 | Dominik Simon | C/LW/RW | 67 | 15 | 34 | 49 | 13 | 26 | 0 | 137 | 166 | 41 | 117 | 9.04% | 6 | 15.46 | 3 | 13 | 16 | 194 | 0 | 0 | 0 | 1 | 4 | 1 | 49.25% | 1273 | 0 | 0 | 0 | 0 | 0.95 | 0 | 4 | |||
3 | Derrick Pouliot | D | 73 | 9 | 37 | 46 | 12 | 20 | 0 | 79 | 87 | 29 | 61 | 10.34% | 85 | 22.92 | 6 | 6 | 12 | 202 | 0 | 1 | 1 | 204 | 3 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.55 | 0 | 0 | |||
4 | Alan Quine | C/LW/RW | 73 | 20 | 25 | 45 | 16 | 14 | 0 | 42 | 182 | 39 | 122 | 10.99% | 16 | 16.11 | 2 | 0 | 2 | 47 | 1 | 2 | 3 | 204 | 6 | 3 | 49.52% | 1462 | 0 | 0 | 0 | 1 | 0.77 | 1 | 2 | |||
5 | Sami Niku | D | 73 | 4 | 39 | 43 | 14 | 34 | 0 | 92 | 105 | 46 | 67 | 3.81% | 89 | 21.35 | 2 | 8 | 10 | 202 | 0 | 0 | 0 | 177 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |||
6 | Matt Luff | RW | 67 | 21 | 18 | 39 | 16 | 10 | 0 | 43 | 131 | 32 | 96 | 16.03% | 9 | 14.43 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 188 | 4 | 0 | 43.08% | 65 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | |||
7 | Daniel Carr | LW/RW | 73 | 17 | 21 | 38 | 14 | 18 | 0 | 43 | 190 | 44 | 112 | 8.95% | 10 | 14.78 | 3 | 4 | 7 | 197 | 0 | 0 | 0 | 2 | 3 | 1 | 47.30% | 74 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |||
8 | Nicolas Roy | C/RW | 66 | 15 | 22 | 37 | -6 | 22 | 0 | 111 | 159 | 44 | 118 | 9.43% | 12 | 17.50 | 3 | 8 | 11 | 185 | 1 | 0 | 1 | 169 | 1 | 1 | 50.56% | 1612 | 0 | 0 | 0 | 0 | 0.64 | 0 | 3 | |||
9 | Xavier Ouellet | D | 73 | 12 | 25 | 37 | 2 | 40 | 0 | 145 | 101 | 26 | 52 | 11.88% | 98 | 22.09 | 10 | 6 | 16 | 206 | 0 | 2 | 2 | 176 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |||
10 | Brandon Pirri | C/LW/RW | 71 | 20 | 16 | 36 | -4 | 4 | 0 | 52 | 174 | 54 | 124 | 11.49% | 7 | 14.77 | 4 | 5 | 9 | 193 | 0 | 0 | 0 | 0 | 0 | 2 | 41.77% | 79 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |||
11 | Tage Thompson | LW/RW | 65 | 8 | 28 | 36 | -5 | 20 | 0 | 104 | 162 | 53 | 114 | 4.94% | 18 | 17.49 | 3 | 5 | 8 | 173 | 0 | 1 | 1 | 174 | 2 | 0 | 50.49% | 103 | 0 | 0 | 0 | 0 | 0.63 | 0 | 4 | |||
12 | Christian Jaros | D | 73 | 1 | 29 | 30 | 13 | 54 | 0 | 158 | 70 | 22 | 55 | 1.43% | 74 | 20.30 | 1 | 2 | 3 | 204 | 0 | 0 | 0 | 73 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |||
13 | Joel L'Esperance | C/RW | 73 | 12 | 16 | 28 | 3 | 4 | 0 | 21 | 152 | 44 | 97 | 7.89% | 10 | 12.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 47.46% | 59 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |||
14 | Jeremy Lauzon | D | 69 | 6 | 20 | 26 | 1 | 58 | 0 | 148 | 31 | 18 | 28 | 19.35% | 73 | 17.06 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 26 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.44 | 0 | 0 | |||
15 | Austin Czarnik | C/RW | 73 | 10 | 14 | 24 | 3 | 0 | 0 | 5 | 147 | 49 | 109 | 6.80% | 7 | 12.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 1 | 47.42% | 1067 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |||
16 | A.J. Greer | LW | 36 | 9 | 13 | 22 | 18 | 17 | 5 | 45 | 52 | 22 | 42 | 17.31% | 5 | 12.61 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 13 | 2 | 1 | 38.46% | 26 | 0 | 0 | 1 | 0 | 0.97 | 0 | 0 | |||
17 | Adam Erne | LW/RW | 73 | 10 | 10 | 20 | 2 | 77 | 15 | 212 | 92 | 34 | 73 | 10.87% | 8 | 12.92 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 5 | 3 | 0 | 66.67% | 57 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |||
18 | Austin Wagner | LW | 49 | 6 | 5 | 11 | -1 | 38 | 0 | 112 | 59 | 14 | 41 | 10.17% | 8 | 10.11 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 36.67% | 30 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |||
19 | Dakota Mermis | D | 39 | 2 | 9 | 11 | 6 | 22 | 0 | 61 | 16 | 11 | 16 | 12.50% | 44 | 18.52 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 105 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |||
20 | Jean-Sebastien Dea | C/RW | 9 | 1 | 3 | 4 | -1 | 2 | 0 | 7 | 11 | 3 | 8 | 9.09% | 3 | 13.41 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 18 | 1 | 0 | 52.69% | 167 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |||
21 | Daniel Sprong | LW/RW | 4 | 1 | 0 | 1 | -4 | 0 | 0 | 2 | 12 | 2 | 7 | 8.33% | 0 | 19.35 | 1 | 0 | 1 | 18 | 0 | 0 | 0 | 3 | 0 | 0 | 71.43% | 7 | 0 | 0 | 0 | 0 | 0.26 | 0 | 1 | |||
22 | Gemel Smith | C/LW/RW | 6 | 0 | 1 | 1 | -1 | 4 | 0 | 5 | 12 | 4 | 10 | 0.00% | 2 | 15.84 | 0 | 1 | 1 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 51.94% | 129 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |||
23 | Jacob Middleton | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 9.62 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
Team Total or Average | 1278 | 225 | 419 | 644 | 129 | 504 | 20 | 1710 | 2338 | 698 | 1623 | 9.62% | 595 | 16.45 | 41 | 75 | 116 | 2102 | 4 | 7 | 11 | 1590 | 41 | 14 | 49.38% | 6306 | 0 | 0 | 3 | 1 | 0.61 | 1 | 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 | Kaapo Kahkonen | 58 | 35 | 16 | 5 | 0.909 | 2.69 | 3278 | 4 | 3 | 147 | 1614 | 0 | 0 | 3 | 0.750 | 12 | 56 | 16 | 5 | 4 | 2 | |
2 | Ville Husso | 23 | 8 | 8 | 1 | 0.890 | 3.16 | 1139 | 2 | 2 | 60 | 547 | 0 | 0 | 1 | 1.000 | 5 | 17 | 56 | 1 | 0 | 2 | |
Team Total or Average | 81 | 43 | 24 | 6 | 0.904 | 2.81 | 4417 | 6 | 5 | 207 | 2161 | 0 | 0 | 4 | 0.824 | 17 | 73 | 72 | 6 | 4 | 4 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 0$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 0 |
LTIR Players | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
A.J. Greer | LW | 23 | 735,000$ | 735,000$ | 735,000$ | 735,000$ | |||||
Adam Erne | LW/RW | 24 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | |||||
Alan Quine | C/LW/RW | 27 | 735,000$ | 735,000$ | 735,000$ | 735,000$ | |||||
Austin Czarnik | C/RW | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | |||||
Austin Wagner | LW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Brandon Pirri | C/LW/RW | 29 | 775,000$ | 775,000$ | |||||||
Christian Jaros | D | 24 | 801,667$ | 801,667$ | 801,667$ | 801,667$ | |||||
Cooper Marody | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Dakota Mermis | D | 26 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
Daniel Carr | LW/RW | 28 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
Daniel Sprong | LW/RW | 23 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Derrick Pouliot | D | 26 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
Dominik Simon | C/LW/RW | 25 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Gage Quinney | C | 24 | 715,000$ | 715,000$ | 715,000$ | 715,000$ | |||||
Gemel Smith | C/LW/RW | 25 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
Jacob Middleton | D | 24 | 735,000$ | 735,000$ | 735,000$ | 735,000$ | |||||
Jean-Sebastien Dea | C/RW | 26 | 700,000$ | 700,000$ | |||||||
Jeremy Lauzon | D | 22 | 871,666$ | 871,666$ | 871,666$ | 871,666$ | |||||
Joel L'Esperance | C/RW | 24 | 722,500$ | 722,500$ | 722,500$ | 722,500$ | |||||
| 0$ | 0$ | |||||||||
Lane Pederson | C | 22 | 690,000$ | 690,000$ | 690,000$ | 690,000$ | |||||
Martin Frk | RW | 26 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
Matt Luff | RW | 22 | 677,777$ | 677,777$ | 677,777$ | 677,777$ | |||||
Nicolas Roy | C/RW | 23 | 815,000$ | 815,000$ | 815,000$ | 815,000$ | |||||
Otto Leskinen | D | 23 | 925,000$ | 925,000$ | 925,000$ | ||||||
| 0$ | 0$ | |||||||||
Sam Miletic | LW | 22 | 710,000$ | 710,000$ | 710,000$ | 710,000$ | |||||
Sami Niku | D | 23 | 916,666$ | 916,666$ | 916,666$ | 916,666$ | |||||
Tage Thompson | LW/RW | 22 | 1,137,500$ | 1,137,500$ | 1,137,500$ | 1,137,500$ | |||||
| 0$ | 0$ | |||||||||
Xavier Ouellet | D | 26 | 700,000$ | 700,000$ | 700,000$ | 700,000$ |
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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 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 13 | 0 | 6 | 0.750 | 13 | 25 | 38 | 0 | 0 | 81 | 74 | 66 | 7 | 122 | 761 | 816 | 749 | 49 | 129 | 37 | 35 | 93 | 12 | 1 | 8.33% | 15 | 5 | 66.67% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 60.0% | 10.7% | 89.9% | 100.6 | FUN | |
2 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 16 | 2 | 6 | 0.600 | 18 | 33 | 51 | 1 | 0 | 81 | 74 | 66 | 7 | 150 | 761 | 816 | 749 | 49 | 185 | 52 | 30 | 138 | 18 | 5 | 27.78% | 15 | 2 | 86.67% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 48.1% | 12.0% | 91.4% | 103.4 | LUCKY | |
3 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 5 | 9 | 8 | 1.000 | 14 | 27 | 41 | 0 | 1 | 81 | 74 | 66 | 7 | 155 | 761 | 816 | 749 | 49 | 103 | 29 | 18 | 127 | 8 | 2 | 25.00% | 8 | 0 | 100.00% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 70.6% | 9.0% | 95.1% | 104.2 | LUCKY | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 81 | 74 | 66 | 7 | 49 | 761 | 816 | 749 | 49 | 50 | 20 | 14 | 42 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 83.3% | 12.2% | 96.0% | 108.2 | LUCKY | |
5 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 13 | 24 | -11 | 2 | 0.250 | 13 | 24 | 37 | 1 | 0 | 81 | 74 | 66 | 7 | 128 | 761 | 816 | 749 | 49 | 151 | 35 | 53 | 111 | 9 | 3 | 33.33% | 23 | 4 | 82.61% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 33.3% | 10.2% | 84.1% | 94.3 | FUN | |
6 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 9 | 13 | -4 | 5 | 0.625 | 9 | 14 | 23 | 0 | 0 | 81 | 74 | 66 | 7 | 141 | 761 | 816 | 749 | 49 | 121 | 34 | 29 | 105 | 15 | 3 | 20.00% | 11 | 3 | 72.73% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 37.5% | 6.4% | 89.3% | 95.6 | Unlucky | |
7 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 17 | -5 | 2 | 0.250 | 12 | 22 | 34 | 0 | 0 | 81 | 74 | 66 | 7 | 115 | 761 | 816 | 749 | 49 | 115 | 43 | 26 | 90 | 19 | 5 | 26.32% | 13 | 5 | 61.54% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 36.8% | 10.4% | 85.2% | 95.7 | FUN | |
8 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 12 | 4 | 6 | 0.750 | 16 | 28 | 44 | 0 | 0 | 81 | 74 | 66 | 7 | 150 | 761 | 816 | 749 | 49 | 119 | 34 | 30 | 110 | 12 | 2 | 16.67% | 13 | 1 | 92.31% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 56.0% | 10.7% | 89.9% | 100.6 | FUN | |
9 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 4 | 0.500 | 8 | 14 | 22 | 0 | 1 | 81 | 74 | 66 | 7 | 127 | 761 | 816 | 749 | 49 | 106 | 26 | 32 | 101 | 12 | 1 | 8.33% | 16 | 4 | 75.00% | 1 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 58.3% | 6.3% | 91.5% | 97.8 | DULL | |
10 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 11 | 13 | -2 | 3 | 0.375 | 11 | 22 | 33 | 0 | 0 | 81 | 74 | 66 | 7 | 132 | 761 | 816 | 749 | 49 | 119 | 33 | 36 | 91 | 12 | 1 | 8.33% | 15 | 4 | 73.33% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 52.6% | 8.3% | 89.1% | 97.4 | Unlucky | |
11 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 6 | 0.750 | 9 | 17 | 26 | 0 | 0 | 81 | 74 | 66 | 7 | 144 | 761 | 816 | 749 | 49 | 108 | 27 | 22 | 96 | 9 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 60.0% | 6.3% | 93.5% | 99.8 | DULL | |
12 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 81 | 74 | 66 | 7 | 67 | 761 | 816 | 749 | 49 | 66 | 13 | 16 | 41 | 12 | 1 | 8.33% | 8 | 3 | 62.50% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 60.0% | 10.4% | 89.4% | 99.8 | FUN | |
13 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 11 | 3 | 6 | 0.750 | 14 | 26 | 40 | 1 | 0 | 81 | 74 | 66 | 7 | 111 | 761 | 816 | 749 | 49 | 101 | 30 | 43 | 94 | 15 | 1 | 6.67% | 14 | 5 | 64.29% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 68.4% | 12.6% | 89.1% | 101.7 | FUN | |
14 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 17 | 8 | 9 | 7 | 0.875 | 17 | 34 | 51 | 0 | 0 | 81 | 74 | 66 | 7 | 126 | 761 | 816 | 749 | 49 | 112 | 28 | 30 | 83 | 16 | 5 | 31.25% | 15 | 1 | 93.33% | 2 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 63.2% | 13.5% | 92.9% | 106.3 | LUCKY | |
15 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 9 | -1 | 3 | 0.500 | 8 | 16 | 24 | 1 | 1 | 81 | 74 | 66 | 7 | 90 | 761 | 816 | 749 | 49 | 80 | 28 | 30 | 70 | 7 | 1 | 14.29% | 13 | 2 | 84.62% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 50.0% | 8.9% | 88.8% | 97.6 | Unlucky | |
16 | 5 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 15 | 15 | 0 | 7 | 0.700 | 15 | 28 | 43 | 0 | 0 | 81 | 74 | 66 | 7 | 167 | 761 | 816 | 749 | 49 | 140 | 46 | 24 | 107 | 20 | 4 | 20.00% | 9 | 3 | 66.67% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 47.8% | 9.0% | 89.3% | 98.3 | FUN | |
17 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 12 | 11 | 1 | 4 | 0.500 | 12 | 22 | 34 | 0 | 0 | 81 | 74 | 66 | 7 | 117 | 761 | 816 | 749 | 49 | 126 | 30 | 37 | 90 | 11 | 1 | 9.09% | 15 | 4 | 73.33% | 1 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 61.1% | 10.3% | 91.3% | 101.5 | LUCKY | |
18 | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 17 | 10 | 7 | 8 | 0.800 | 17 | 32 | 49 | 0 | 1 | 81 | 74 | 66 | 7 | 176 | 761 | 816 | 749 | 49 | 145 | 46 | 35 | 142 | 22 | 3 | 13.64% | 14 | 4 | 71.43% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 70.0% | 9.7% | 93.1% | 102.8 | LUCKY | |
19 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 2 | 0.333 | 9 | 18 | 27 | 0 | 0 | 81 | 74 | 66 | 7 | 91 | 761 | 816 | 749 | 49 | 89 | 28 | 45 | 75 | 6 | 1 | 16.67% | 14 | 3 | 78.57% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 47.1% | 9.9% | 86.5% | 96.4 | FUN | |
_Vs Division | 15 | 10 | 4 | 0 | 1 | 0 | 0 | 0 | 46 | 38 | 8 | 22 | 0.733 | 46 | 87 | 133 | 1 | 1 | 81 | 74 | 66 | 7 | 465 | 761 | 816 | 749 | 49 | 472 | 136 | 101 | 369 | 47 | 7 | 14.89% | 47 | 9 | 80.85% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 57.4% | 9.9% | 91.9% | 101.8 | LUCKY | |
_Vs Conference | 36 | 19 | 12 | 0 | 3 | 1 | 0 | 1 | 114 | 106 | 8 | 46 | 0.639 | 114 | 213 | 327 | 2 | 1 | 81 | 74 | 66 | 7 | 1140 | 761 | 816 | 749 | 49 | 1066 | 322 | 260 | 861 | 125 | 20 | 16.00% | 111 | 27 | 75.68% | 0 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 54.3% | 10.0% | 90.1% | 100.1 | FUN | |
_Since Last GM Reset | 73 | 36 | 24 | 0 | 6 | 3 | 1 | 3 | 228 | 214 | 14 | 92 | 0.630 | 228 | 426 | 654 | 4 | 5 | 81 | 74 | 66 | 7 | 2358 | 761 | 816 | 749 | 49 | 2165 | 619 | 585 | 1806 | 243 | 41 | 16.87% | 248 | 55 | 77.82% | 4 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 54.0% | 9.7% | 90.1% | 99.8 | FUN | |
Total | 73 | 36 | 24 | 0 | 6 | 3 | 1 | 3 | 228 | 214 | 14 | 92 | 0.630 | 228 | 426 | 654 | 4 | 5 | 81 | 74 | 66 | 7 | 2358 | 761 | 816 | 749 | 49 | 2165 | 619 | 585 | 1806 | 243 | 41 | 16.87% | 248 | 55 | 77.82% | 4 | 1282 | 2573 | 49.83% | 1266 | 2556 | 49.53% | 566 | 1124 | 50.36% | 1772 | 1230 | 1707 | 546 | 943 | 468 | 54.0% | 9.7% | 90.1% | 99.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2573 |
Neutral Zone Start | 1124 |
Defensive Zone Start | 2556 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3114 |
Faceoffs Lost | 3139 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 21.6 | 20.31 |
3rd Period | 31.9 | 30.68 |
Overtime | 32.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 179 |
---|---|
PP Goal | 41 |
PK Goal | 4 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 23 | 20 |
Lost | 12 | 12 |
Overtime Lost | 2 | 4 |
PP Attempt | 243 |
---|---|
PP Goal | 41 |
PK Attempt | 248 |
PK Goal Against | 55 |
Home | |
---|---|
Shots For | 32.3 |
Shots Against | 29.7 |
Goals For | 3.1 |
Goals Against | 2.9 |
Hits | 24.7 |
Shots Blocked | 8.5 |
Pim | 8.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-11-22 | @ | Wolves 3,Heat7 | RECAP | ||
2020-11-23 | @ | Wolves 3,Manitoba Moose4 (OT) | RECAP | ||
2020-11-25 | @ | Reign0,Wolves 2 | RECAP | ||
2020-11-27 | @ | Rocket3,Wolves 2 | RECAP | ||
2020-11-29 | @ | Wolves 4,Manitoba Moose3 | RECAP | ||
2020-12-02 | @ | Scranton Penguins3,Wolves 4 (OT) | RECAP | ||
2020-12-04 | @ | Thunderbirds5,Wolves 3 | RECAP | ||
2020-12-06 | @ | Wolves 3,Bears1 | RECAP | ||
2020-12-08 | @ | Condors3,Wolves 1 | RECAP | ||
2020-12-10 | @ | IceHogs1,Wolves 2 (OT) | RECAP | ||
2020-12-12 | @ | Wolves 5,IceHogs3 | RECAP | ||
2020-12-13 | @ | Wolves 2,Condors1 | RECAP | ||
2020-12-16 | @ | Sound Tigers2,Wolves 4 | RECAP | ||
2020-12-18 | @ | Senators2,Wolves 4 | RECAP | ||
2020-12-20 | @ | Wolves 5,Senators2 | RECAP | ||
2020-12-22 | @ | Rocherster Americans5,Wolves 3 | RECAP | ||
2020-12-23 | @ | Wolves 2,Griffins5 | RECAP | ||
2020-12-25 | @ | Senators0,Wolves 3 | RECAP | ||
2020-12-27 | @ | Wolves 2,Senators1 (OT) | RECAP | ||
2020-12-29 | @ | Wolves 5,Scranton Penguins3 | RECAP | ||
2020-12-31 | @ | Admirals4,Wolves 2 | RECAP | ||
2021-01-03 | @ | Wolves 3,Scranton Penguins0 | RECAP | ||
2021-01-04 | @ | Rampage1,Wolves 5 | RECAP | ||
2021-01-07 | @ | Wolves 4,Wolf Pack3 | RECAP | ||
2021-01-08 | @ | Marlies4,Wolves 0 | RECAP | ||
2021-01-10 | @ | Bears4,Wolves 7 | RECAP | ||
2021-01-12 | @ | Wolves 1,Bears3 | RECAP | ||
2021-01-14 | @ | Thunderbirds3,Wolves 4 | RECAP | ||
2021-01-16 | @ | Wolves 1,Rampage5 | RECAP | ||
2021-01-17 | @ | Wolves 1,Checkers6 | RECAP | ||
2021-01-19 | @ | Bears6,Wolves 2 | RECAP | ||
2021-01-21 | @ | Wolves 0,Wolf Pack5 | RECAP | ||
2021-01-23 | @ | Marlies3,Wolves 1 | RECAP | ||
2021-01-25 | @ | Wolves 2,IceHogs4 | RECAP | ||
2021-01-27 | @ | IceHogs3,Wolves 5 | RECAP | ||
2021-01-29 | @ | Griffins2,Wolves 4 | RECAP | ||
2021-01-31 | @ | Wolves 3,Griffins6 | RECAP | ||
2021-02-02 | @ | Scranton Penguins3,Wolves 1 | RECAP | ||
2021-02-04 | @ | Wolves 3,Rocket1 | RECAP | ||
2021-02-06 | @ | Rampage3,Wolves 5 | RECAP | ||
2021-02-10 | @ | Wolves 1,Admirals3 | RECAP | ||
2021-02-12 | @ | Rocherster Americans0,Wolves 2 | RECAP | ||
2021-02-14 | @ | Wolves 3,Heat2 (OT) | RECAP | ||
2021-02-16 | @ | Sound Tigers3,Wolves 2 (SO) | RECAP | ||
2021-02-18 | @ | Wolves 4,Rocket3 (OT) | RECAP | ||
2021-02-20 | @ | Scranton Penguins1,Wolves 4 | RECAP | ||
2021-02-21 | @ | Wolves 3,Rocherster Americans4 (OT) | RECAP | ||
2021-02-23 | @ | Rocket4,Wolves 3 | RECAP | ||
2021-02-25 | @ | Wolves 6,Sound Tigers1 | RECAP | ||
2021-02-27 | @ | Checkers6,Wolves 4 | RECAP | ||
2021-02-28 | @ | Wolves 4,Heat2 | RECAP | ||
2021-03-02 | @ | Wolf Pack2,Wolves 3 (SO) | RECAP | ||
2021-03-04 | @ | Wolves 5,Sound Tigers2 | RECAP | ||
2021-03-06 | @ | Wolves 3,Marlies0 | RECAP | ||
2021-03-08 | @ | Admirals3,Wolves 6 | RECAP | ||
2021-03-10 | @ | Wolves 4,Marlies2 | RECAP | ||
2021-03-12 | @ | Manitoba Moose2,Wolves 3 (OT) | RECAP | ||
2021-03-14 | @ | Wolves 1,Manitoba Moose4 | RECAP | ||
2021-03-15 | @ | Manitoba Moose2,Wolves 4 | RECAP | ||
2021-03-18 | @ | Wolves 2,Admirals3 (SO) | RECAP | ||
2021-03-19 | @ | Bruins2,Wolves 3 | RECAP | ||
2021-03-22 | @ | Heat2,Wolves 3 | RECAP | ||
2021-03-23 | @ | Wolves 2,Thunderbirds4 | RECAP | ||
2021-03-25 | @ | Wolves 5,Bears2 | RECAP | ||
2021-03-27 | @ | Wolf Pack3,Wolves 2 (SO) | RECAP | ||
2021-03-30 | @ | Griffins4,Wolves 3 | RECAP | ||
2021-04-02 | @ | Reign2,Wolves 4 | RECAP | ||
2021-04-03 | @ | Wolves 4,Bruins5 (OT) | RECAP | ||
2021-04-05 | @ | Wolves 3,Condors2 | RECAP | ||
2021-04-06 | @ | Checkers5,Wolves 6 | RECAP | ||
2021-04-09 | @ | Wolves 2,Checkers7 | RECAP | ||
2021-04-10 | @ | Wolves 5,Rampage3 | RECAP | ||
2021-04-12 | @ | Condors1,Wolves 3 | RECAP | ||
2021-04-14 | @ | ||||
2021-04-15 | @ | ||||
2021-04-18 | @ | ||||
2021-04-20 | @ | ||||
2021-04-22 | @ | ||||
2021-04-23 | @ | ||||
2021-04-27 | @ | ||||
2021-04-30 | @ | ||||
2021-05-01 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
24,755,276$ | 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$ | 15$ | $ | $ | $ |
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 |
4 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
24,755,276$ | 24,755,276$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 20 | 148,708$ | 2,974,160$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,974,160$ | 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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