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Full Scoreboard »» |
Chicago Wolves Team Overall:68 18-14-1, 37pts · 5th 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 | 26 | 61 | 43 | 90 | 66 | 75 | 77 | 76 | 64 | 67 | 65 | 62 | 63 | 66 | 73 | 67 | 0 | 40 | 69 | 100.00 | 735,000$/3yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 28 | 59 | 43 | 85 | 66 | 73 | 76 | 71 | 64 | 61 | 63 | 65 | 62 | 66 | 77 | 69 | 0 | 40 | 69 | 100.00 | 775,000$/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$/3yrs | ||
![]() | 0 | C/RW | 100.00 | 22 | 69 | 45 | 88 | 66 | 86 | 75 | 73 | 64 | 71 | 63 | 62 | 65 | 63 | 65 | 64 | 0 | 40 | 69 | 100.00 | 815,000$/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$/3yrs | ||
![]() | 0 | LW | 100.00 | 22 | 87 | 49 | 81 | 63 | 74 | 72 | 83 | 61 | 53 | 60 | 64 | 56 | 63 | 65 | 66 | 0 | 40 | 68 | 100.00 | 925,000$/3yrs | ||
![]() | 0 | C/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 | 23 | 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 | 23 | 66 | 52 | 82 | 62 | 85 | 78 | 77 | 61 | 57 | 60 | 60 | 63 | 62 | 67 | 64 | 0 | 40 | 68 | 100.00 | 735,000$/3yrs | ||
![]() | 0 | C | 100.00 | 23 | 58 | 43 | 88 | 63 | 71 | 75 | 78 | 61 | 67 | 62 | 59 | 60 | 63 | 67 | 64 | 0 | 40 | 67 | 100.00 | 1,000,000$/2yrs | ||
![]() | 0 | LW/RW | 100.00 | 22 | 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$/3yrs | ||
![]() | 0 | C/RW | 100.00 | 25 | 55 | 45 | 86 | 63 | 66 | 79 | 78 | 62 | 74 | 61 | 60 | 59 | 62 | 71 | 66 | 0 | 40 | 67 | 100.00 | 700,000$/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 | 23 | 86 | 55 | 84 | 59 | 99 | 88 | 87 | 58 | 30 | 57 | 54 | 62 | 46 | 67 | 64 | 0 | 40 | 68 | 100.00 | 700,000$/3yrs | ||
![]() | 0 | D | 100.00 | 24 | 66 | 51 | 83 | 61 | 85 | 75 | 71 | 59 | 30 | 58 | 57 | 60 | 53 | 67 | 64 | 0 | 40 | 66 | 100.00 | 735,000$/3yrs | ||
![]() | 0 | D | 100.00 | 22 | 60 | 46 | 85 | 61 | 69 | 76 | 72 | 59 | 30 | 60 | 56 | 57 | 45 | 65 | 63 | 0 | 40 | 65 | 100.00 | 925,000$/2yrs | ||
TEAM AVERAGE | 100.00 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | AGE | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 23 | 79 | 68 | 70 | 79 | 79 | 78 | 67 | 71 | 0 | 40 | 68 | 767,500$/3yrs | ||||||||
![]() | 0 | 100.00 | 24 | 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 | 100.00 |
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 | 33 | 13 | 16 | 29 | 6 | 8 | 0 | 46 | 105 | 37 | 67 | 12.38% | 3 | 15.48 | 2 | 9 | 11 | 89 | 0 | 0 | 0 | 13 | 2 | 1 | 57.50% | 40 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | |||
2 | Dominik Simon | C/LW/RW | 27 | 7 | 16 | 23 | 5 | 14 | 0 | 56 | 53 | 19 | 48 | 13.21% | 4 | 14.80 | 2 | 6 | 8 | 74 | 0 | 0 | 0 | 0 | 2 | 1 | 49.40% | 496 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 | |||
3 | Derrick Pouliot | D | 33 | 4 | 18 | 22 | -1 | 2 | 0 | 28 | 39 | 9 | 31 | 10.26% | 43 | 22.60 | 4 | 3 | 7 | 89 | 0 | 0 | 0 | 98 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |||
4 | Tage Thompson | LW/RW | 33 | 3 | 17 | 20 | -2 | 12 | 0 | 62 | 96 | 29 | 64 | 3.12% | 6 | 17.60 | 1 | 2 | 3 | 86 | 0 | 1 | 1 | 89 | 1 | 0 | 40.98% | 61 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |||
5 | Sami Niku | D | 33 | 2 | 15 | 17 | 6 | 12 | 0 | 23 | 42 | 23 | 41 | 4.76% | 36 | 21.26 | 1 | 2 | 3 | 82 | 0 | 0 | 0 | 80 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |||
6 | Alan Quine | C/LW/RW | 33 | 7 | 9 | 16 | -3 | 6 | 0 | 14 | 86 | 17 | 69 | 8.14% | 10 | 16.50 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 96 | 4 | 1 | 47.30% | 649 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |||
7 | Brandon Pirri | C/LW/RW | 31 | 8 | 8 | 16 | 0 | 2 | 0 | 23 | 77 | 26 | 54 | 10.39% | 4 | 14.52 | 2 | 2 | 4 | 80 | 0 | 0 | 0 | 0 | 0 | 2 | 38.46% | 39 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |||
8 | Daniel Carr | LW/RW | 33 | 7 | 9 | 16 | 6 | 6 | 0 | 14 | 99 | 17 | 64 | 7.07% | 6 | 14.68 | 2 | 1 | 3 | 82 | 0 | 0 | 0 | 0 | 0 | 1 | 45.71% | 35 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |||
9 | Matt Luff | RW | 33 | 9 | 5 | 14 | -1 | 2 | 0 | 15 | 65 | 18 | 48 | 13.85% | 6 | 14.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 99 | 3 | 0 | 35.00% | 40 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |||
10 | Xavier Ouellet | D | 33 | 3 | 11 | 14 | -11 | 16 | 0 | 69 | 50 | 16 | 37 | 6.00% | 42 | 21.50 | 3 | 3 | 6 | 91 | 0 | 1 | 1 | 78 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |||
11 | Christian Jaros | D | 33 | 0 | 11 | 11 | 2 | 12 | 0 | 80 | 41 | 10 | 22 | 0.00% | 38 | 20.00 | 0 | 0 | 0 | 83 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |||
12 | Jeremy Lauzon | D | 31 | 3 | 8 | 11 | -9 | 28 | 0 | 67 | 12 | 6 | 16 | 25.00% | 31 | 16.92 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 20 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.42 | 0 | 0 | |||
13 | Joel L'Esperance | C/RW | 33 | 5 | 6 | 11 | -4 | 2 | 0 | 5 | 72 | 18 | 44 | 6.94% | 5 | 12.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 48.15% | 27 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |||
14 | Nicolas Roy | C/RW | 26 | 7 | 3 | 10 | -3 | 10 | 0 | 42 | 55 | 18 | 47 | 12.73% | 4 | 16.75 | 0 | 1 | 1 | 68 | 1 | 0 | 1 | 69 | 0 | 0 | 50.65% | 614 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |||
15 | Austin Czarnik | C/RW | 33 | 4 | 5 | 9 | -4 | 0 | 0 | 0 | 65 | 23 | 50 | 6.15% | 3 | 12.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 48.54% | 513 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |||
16 | Austin Wagner | LW | 33 | 5 | 4 | 9 | -2 | 30 | 0 | 89 | 46 | 13 | 32 | 10.87% | 4 | 11.98 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 24 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |||
17 | Kyle Wood | D | 28 | 2 | 6 | 8 | 8 | 73 | 15 | 91 | 20 | 6 | 14 | 10.00% | 23 | 18.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |||
18 | Adam Erne | LW/RW | 33 | 3 | 3 | 6 | -5 | 33 | 5 | 103 | 48 | 17 | 35 | 6.25% | 3 | 12.36 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 66.67% | 27 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |||
19 | 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 | |||
20 | 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 | |||
21 | Dakota Mermis | D | 7 | 0 | 0 | 0 | -1 | 8 | 0 | 10 | 3 | 1 | 2 | 0.00% | 5 | 15.19 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
Team Total or Average | 594 | 93 | 174 | 267 | -15 | 282 | 20 | 849 | 1097 | 330 | 803 | 8.48% | 281 | 16.35 | 17 | 31 | 48 | 892 | 1 | 2 | 3 | 783 | 18 | 7 | 48.97% | 2861 | 0 | 0 | 1 | 0 | 0.55 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kaapo Kahkonen | 22 | 12 | 8 | 0 | 0.906 | 2.75 | 1157 | 0 | 1 | 53 | 566 | 0 | 0 | 1 | 0.000 | 0 | 20 | 13 | 3 | 2 | 1 | |
2 | Ville Husso | 17 | 6 | 6 | 1 | 0.885 | 3.33 | 828 | 0 | 2 | 46 | 399 | 0 | 0 | 1 | 0.000 | 0 | 13 | 20 | 1 | 0 | 1 | |
Team Total or Average | 39 | 18 | 14 | 1 | 0.897 | 2.99 | 1986 | 0 | 3 | 99 | 965 | 0 | 0 | 2 | 0.000 | 0 | 33 | 33 | 4 | 2 | 2 |
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 | 26 | 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 | 28 | 775,000$ | 775,000$ | |||||||
Christian Jaros | D | 23 | 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 | 22 | 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 | 25 | 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$ | |||||||||
Kyle Wood | D | 23 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
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 | 22 | 815,000$ | 815,000$ | 815,000$ | 815,000$ | |||||
Otto Leskinen | D | 22 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 34 | 31 | 25 | 3 | 30 | 359 | 383 | 348 | 7 | 45 | 13 | 19 | 22 | 4 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 42.9% | 10.0% | 84.4% | 94.4 | FUN | |
2 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 4 | 0.500 | 13 | 23 | 36 | 1 | 0 | 34 | 31 | 25 | 3 | 117 | 359 | 383 | 348 | 7 | 155 | 42 | 20 | 100 | 13 | 5 | 38.46% | 10 | 1 | 90.00% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 38.1% | 11.1% | 91.0% | 102.1 | FUN | |
3 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 5 | 9 | 8 | 1.000 | 14 | 27 | 41 | 0 | 1 | 34 | 31 | 25 | 3 | 155 | 359 | 383 | 348 | 7 | 103 | 29 | 18 | 127 | 8 | 2 | 25.00% | 8 | 0 | 100.00% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 70.6% | 9.0% | 95.1% | 104.2 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 34 | 31 | 25 | 3 | 29 | 359 | 383 | 348 | 7 | 17 | 8 | 8 | 15 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 100.0% | 6.9% | 100.0% | 106.9 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 34 | 31 | 25 | 3 | 30 | 359 | 383 | 348 | 7 | 31 | 9 | 16 | 26 | 4 | 1 | 25.00% | 8 | 2 | 75.00% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 0.0% | 3.3% | 80.6% | 84.0 | Unlucky | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 34 | 31 | 25 | 3 | 65 | 359 | 383 | 348 | 7 | 49 | 16 | 23 | 52 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 33.3% | 6.2% | 83.7% | 89.8 | Unlucky | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 34 | 31 | 25 | 3 | 25 | 359 | 383 | 348 | 7 | 30 | 10 | 12 | 23 | 5 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 40.0% | 8.0% | 83.3% | 91.3 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 34 | 31 | 25 | 3 | 79 | 359 | 383 | 348 | 7 | 59 | 11 | 12 | 48 | 9 | 1 | 11.11% | 6 | 0 | 100.00% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 45.5% | 7.6% | 89.8% | 97.4 | Unlucky | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 34 | 31 | 25 | 3 | 59 | 359 | 383 | 348 | 7 | 55 | 17 | 22 | 60 | 3 | 0 | 0.00% | 11 | 4 | 63.64% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 25.0% | 1.7% | 87.3% | 89.0 | Unlucky | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 34 | 31 | 25 | 3 | 22 | 359 | 383 | 348 | 7 | 32 | 11 | 4 | 26 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 33.3% | 9.1% | 87.5% | 96.6 | FUN | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 34 | 31 | 25 | 3 | 75 | 359 | 383 | 348 | 7 | 53 | 12 | 12 | 50 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 42.9% | 4.0% | 92.5% | 96.5 | DULL | |
12 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 34 | 31 | 25 | 3 | 65 | 359 | 383 | 348 | 7 | 48 | 16 | 27 | 51 | 9 | 1 | 11.11% | 7 | 1 | 85.71% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 66.7% | 10.8% | 91.7% | 102.4 | LUCKY | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 34 | 31 | 25 | 3 | 31 | 359 | 383 | 348 | 7 | 27 | 11 | 8 | 20 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 1 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 50.0% | 12.9% | 92.6% | 105.5 | LUCKY | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 34 | 31 | 25 | 3 | 23 | 359 | 383 | 348 | 7 | 31 | 4 | 12 | 28 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 42.9% | 13.0% | 83.9% | 96.9 | FUN | |
15 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 34 | 31 | 25 | 3 | 73 | 359 | 383 | 348 | 7 | 55 | 23 | 12 | 49 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 53.8% | 9.6% | 87.3% | 96.9 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 34 | 31 | 25 | 3 | 35 | 359 | 383 | 348 | 7 | 24 | 7 | 8 | 22 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 50.0% | 5.7% | 87.5% | 93.2 | Unlucky | |
17 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 6 | 6 | 6 | 1.000 | 12 | 22 | 34 | 0 | 1 | 34 | 31 | 25 | 3 | 123 | 359 | 383 | 348 | 7 | 91 | 30 | 16 | 86 | 15 | 3 | 20.00% | 8 | 2 | 75.00% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 69.2% | 9.8% | 93.4% | 103.2 | LUCKY | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 34 | 31 | 25 | 3 | 61 | 359 | 383 | 348 | 7 | 62 | 12 | 33 | 44 | 3 | 1 | 33.33% | 8 | 3 | 62.50% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 54.5% | 11.5% | 87.1% | 98.6 | FUN | |
_Vs Division | 8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 21 | 25 | -4 | 8 | 0.500 | 21 | 39 | 60 | 1 | 1 | 34 | 31 | 25 | 3 | 251 | 359 | 383 | 348 | 7 | 270 | 75 | 59 | 187 | 25 | 5 | 20.00% | 26 | 4 | 84.62% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 43.2% | 8.4% | 90.7% | 99.1 | Unlucky | |
_Vs Conference | 16 | 7 | 7 | 0 | 1 | 1 | 0 | 0 | 45 | 51 | -6 | 17 | 0.531 | 45 | 83 | 128 | 1 | 1 | 34 | 31 | 25 | 3 | 515 | 359 | 383 | 348 | 7 | 494 | 146 | 126 | 384 | 52 | 7 | 13.46% | 50 | 8 | 84.00% | 0 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 46.9% | 8.7% | 89.7% | 98.4 | Unlucky | |
_Since Last GM Reset | 33 | 15 | 14 | 0 | 3 | 1 | 0 | 0 | 93 | 101 | -8 | 37 | 0.561 | 93 | 174 | 267 | 2 | 3 | 34 | 31 | 25 | 3 | 1097 | 359 | 383 | 348 | 7 | 967 | 281 | 282 | 849 | 104 | 17 | 16.35% | 115 | 23 | 80.00% | 1 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 49.4% | 8.5% | 89.6% | 98.0 | Unlucky | |
Total | 33 | 15 | 14 | 0 | 3 | 1 | 0 | 0 | 93 | 101 | -8 | 37 | 0.561 | 93 | 174 | 267 | 2 | 3 | 34 | 31 | 25 | 3 | 1097 | 359 | 383 | 348 | 7 | 967 | 281 | 282 | 849 | 104 | 17 | 16.35% | 115 | 23 | 80.00% | 1 | 594 | 1203 | 49.38% | 553 | 1149 | 48.13% | 254 | 496 | 51.21% | 799 | 559 | 771 | 241 | 416 | 208 | 49.4% | 8.5% | 89.6% | 98.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1203 |
Neutral Zone Start | 496 |
Defensive Zone Start | 1149 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1401 |
Faceoffs Lost | 1447 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 33.0 | 30.68 |
Overtime | 33.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 73 |
---|---|
PP Goal | 17 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 9 | 9 |
Lost | 8 | 6 |
Overtime Lost | 0 | 1 |
PP Attempt | 104 |
---|---|
PP Goal | 17 |
PK Attempt | 115 |
PK Goal Against | 23 |
Home | |
---|---|
Shots For | 33.2 |
Shots Against | 29.3 |
Goals For | 2.8 |
Goals Against | 3.1 |
Hits | 25.7 |
Shots Blocked | 8.5 |
Pim | 8.5 |
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 | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
25,455,274$ | 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 |
24 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
25,455,274$ | 25,455,274$ | 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$ | 99 | 152,825$ | 15,129,675$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
15,129,675$ | 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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