 | Chicago Wolves 0-0-0, 0pts · 8th in Conference Est |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Brad Lambert (R) | 47 | RW | 100.00 | 60 | 38 | 82 | 65 | 72 | 89 | 74 | 64 | 70 | 66 | 58 | 62 | 65 | 61 | 63 | 78 | 75 | 0 | 20 | 918,333$/2yrs | |||
 Nikita Chibrikov (R) | 90 | LW/RW | 100.00 | 78 | 37 | 76 | 65 | 64 | 83 | 73 | 64 | 62 | 61 | 63 | 60 | 66 | 62 | 63 | 72 | 75 | 0 | 21 | 875,833$/2yrs | |||
| Daniel Torgersson (R) | 45 | LW | 100.00 | 74 | 39 | 95 | 59 | 83 | 74 | 82 | 57 | 56 | 54 | 55 | 58 | 53 | 62 | 64 | 75 | 75 | 0 | 22 | 867,500$/1yrs | |||
 Ilya Nikolayev (R) | 13 | C | 100.00 | 57 | 38 | 84 | 57 | 72 | 67 | 80 | 57 | 60 | 55 | 56 | 58 | 59 | 61 | 61 | 60 | 75 | 0 | 23 | 836,667$/1yrs | |||
| Jack Finley (R) | 26 | C | 100.00 | 87 | 42 | 79 | 63 | 96 | 77 | 82 | 58 | 67 | 60 | 59 | 64 | 63 | 62 | 65 | 70 | 75 | 0 | 21 | 797,500$/1yrs | |||
| Tim Gettinger | 25 | LW | 100.00 | 87 | 41 | 87 | 60 | 96 | 83 | 79 | 58 | 61 | 60 | 59 | 64 | 59 | 66 | 68 | 53 | 75 | 0 | 26 | 775,000$/1yrs | |||
| Kim Nousiainen (R) | 35 | D | 100.00 | 63 | 36 | 89 | 56 | 63 | 61 | 76 | 55 | 30 | 54 | 51 | 52 | 45 | 64 | 66 | 58 | 75 | 0 | 23 | 859,167$/1yrs | |||
| Helge Grans (R) | 41 | D | 100.00 | 78 | 40 | 87 | 58 | 87 | 69 | 81 | 56 | 30 | 54 | 52 | 57 | 45 | 62 | 64 | 76 | 75 | 0 | 22 | 847,500$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| Alex Jefferies (R) | 0 | LW | 100.00 | 64 | 36 | 95 | 61 | 73 | 83 | 61 | 59 | 60 | 58 | 63 | 57 | 62 | 63 | 65 | 58 | 75 | 0 | 22 | 867,500$/2yrs | |||
| Ruslan Iskhakov (R) | 34 | C | 100.00 | 62 | 37 | 82 | 65 | 62 | 84 | 86 | 66 | 70 | 67 | 63 | 62 | 68 | 64 | 66 | 72 | 75 | 0 | 23 | ||||
| Arnaud Durandeau | 62 | LW | 100.00 | 62 | 38 | 82 | 58 | 71 | 84 | 82 | 57 | 61 | 60 | 56 | 59 | 55 | 66 | 67 | 47 | 75 | 0 | 25 | ||||
| Hudson Elynuik | 57 | C | 100.00 | 79 | 43 | 70 | 59 | 88 | 76 | 79 | 58 | 64 | 57 | 56 | 60 | 55 | 67 | 69 | 56 | 75 | 0 | 26 | ||||
| Lleyton Roed (R) | 0 | LW | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 75 | 0 | 21 | 870,000$/2yrs | |||
| Jaxon Nelson (R) | 0 | C | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 75 | 0 | 24 | 870,000$/1yrs | |||
| Dino Kambeitz | 54 | RW | 100.00 | 74 | 40 | 84 | 55 | 83 | 74 | 82 | 54 | 58 | 53 | 56 | 59 | 55 | 64 | 66 | 43 | 75 | 0 | 24 | ||||
| Samuel Morton | 0 | C | 100.00 | 62 | 37 | 91 | 62 | 71 | 85 | 61 | 58 | 60 | 54 | 64 | 57 | 62 | 65 | 67 | 42 | 75 | 0 | 24 | 870,000$/1yrs | |||
| Reece Newkirk (R) | 83 | C | 100.00 | 61 | 38 | 79 | 56 | 70 | 68 | 65 | 54 | 62 | 55 | 53 | 57 | 54 | 63 | 65 | 55 | 75 | 0 | 23 | ||||
 Isaac Belliveau (R) | 44 | D | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 1 | 75 | 0 | 21 | 875,000$/2yrs | |||
 Lucas Johansen (R) | 12 | D | 100.00 | 67 | 37 | 91 | 64 | 76 | 79 | 72 | 59 | 30 | 63 | 58 | 62 | 50 | 67 | 69 | 68 | 75 | 0 | 26 | ||||
| Peetro Seppala (R) | 86 | D | 100.00 | 70 | 39 | 83 | 57 | 79 | 63 | 82 | 55 | 30 | 56 | 52 | 54 | 45 | 64 | 66 | 43 | 75 | 0 | 23 | ||||
 Chaz Reddekopp | 79 | D | 100.00 | 78 | 73 | 69 | 55 | 87 | 62 | 63 | 54 | 30 | 53 | 50 | 56 | 45 | 65 | 67 | 55 | 75 | 0 | 27 | ||||
 Nick Cicek (R) | 63 | D | 100.00 | 74 | 42 | 70 | 62 | 84 | 79 | 82 | 58 | 30 | 65 | 54 | 63 | 48 | 64 | 66 | 43 | 75 | 0 | 24 | ||||
| Yan Kuznetsov (R) | 95 | D | 100.00 | 72 | 40 | 86 | 59 | 88 | 77 | 84 | 58 | 30 | 57 | 56 | 60 | 48 | 62 | 64 | 72 | 75 | 0 | 22 | ||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jakub Skarek | 50 | 100.00 | 72 | 84 | 80 | 83 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 65 | 73 | 63 | 75 | 0 | 24 | 775,000$/1yrs |
| Leevi Merilainen | 11 | 100.00 | 75 | 76 | 71 | 72 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 62 | 67 | 66 | 75 | 0 | 21 | 820,000$/1yrs |
| Scratches | ||||||||||||||||||||
 Niklas Kokko | 66 | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 75 | 0 | 20 | 923,333$/2yrs |
| Benjamin Kraws | 0 | 100.00 | 68 | 70 | 66 | 88 | 67 | 66 | 68 | 67 | 66 | 68 | 67 | 64 | 71 | 43 | 75 | 0 | 23 | 850,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jeff Blashill | 73 | 70 | 79 | 65 | 75 | 70 | 76 | USA | 50 | 1 | 500,000$ |
| General Manager |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|
| 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 |
|---|
| Player Name | POS | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Jefferies  | LW | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
| Arnaud Durandeau | LW | 25 | 0$ |  RFA | |||||||
| Benjamin Kraws | G | 23 | 850,000$ | 850,000$ | RFA | ||||||
| Brad Lambert | RW | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
| Chaz Reddekopp | D | 27 | 0$ | UFA | |||||||
| Daniel Torgersson | LW | 22 | 867,500$ | 867,500$ | RFA | ||||||
| Dino Kambeitz | RW | 24 | 0$ | RFA | |||||||
| Helge Grans | D | 22 | 847,500$ | 847,500$ | RFA | ||||||
| Hudson Elynuik | C | 26 | 0$ | RFA | |||||||
| Ilya Nikolayev | C | 23 | 836,667$ | 836,667$ | RFA | ||||||
| Isaac Belliveau | D | 21 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
| Jack Finley | C | 21 | 797,500$ | 797,500$ | RFA | ||||||
| Jakub Skarek | G | 24 | 775,000$ | 775,000$ | RFA | ||||||
| Jaxon Nelson | C | 24 | 870,000$ | 870,000$ | RFA | ||||||
| Kim Nousiainen | D | 23 | 859,167$ | 859,167$ | RFA | ||||||
| Leevi Merilainen | G | 21 | 820,000$ | 820,000$ | RFA | ||||||
| Lleyton Roed | LW | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Lucas Johansen | D | 26 | 0$ | RFA | |||||||
| Nick Cicek | D | 24 | 0$ | RFA | |||||||
| Nikita Chibrikov | LW/RW | 21 | 875,833$ | 875,833$ | 875,833$ | RFA | |||||
| Niklas Kokko | G | 20 | 923,333$ | 923,333$ | 923,333$ | RFA | |||||
| Peetro Seppala | D | 23 | 0$ | RFA | |||||||
| Reece Newkirk | C | 23 | 0$ | RFA | |||||||
| Ruslan Iskhakov | C | 23 | 0$ | RFA | |||||||
| Samuel Morton | C | 24 | 870,000$ | 870,000$ | RFA | ||||||
| Tim Gettinger | LW | 26 | 775,000$ | 775,000$ | RFA | ||||||
| Yan Kuznetsov | D | 22 | 0$ | RFA |
| Forward Lines | |||||||
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| Defensive Pairings | |||||||
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| Goalies | |||||||
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 0 |
| Neutral Zone | 0 |
| Defensive Zone | 0 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | 0 |
| Without Puck | 0 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 0.0 | 9.57 |
| 2nd Period | 0.0 | 20.31 |
| 3rd Period | 0.0 | 30.68 |
| Overtime | 0.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.0 | 0.64 |
| 2nd Period | 0.0 | 1.65 |
| 3rd Period | 0.0 | 2.67 |
| Overtime | 0.0 | 2.83 |
| Even Strenght Goal | 0 |
|---|---|
| PP Goal | 0 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 0 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 0 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 0 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | 0.0 |
| Shots Against | 0.0 |
| Goals For | 0.0 |
| Goals Against | 0.0 |
| Hits | 0.0 |
| Shots Blocked | 0.0 |
| Pim | 0.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024-10-14 |  Admirals | @ | Wolves | |||||||||||
| 2024-10-18 |  Stars | @ | Wolves | |||||||||||
| 2024-10-21 | Wolves | @ |  IceHogs | |||||||||||
| 2024-10-22 | Stars | @ | Wolves | |||||||||||
| 2024-10-25 | Wolves | @ |  Wild | |||||||||||
| 2024-10-28 |  Monsters | @ | Wolves | |||||||||||
| 2024-11-03 | Wolves | @ |  Roadrunners | |||||||||||
| 2024-11-04 | Wolves | @ | Roadrunners | |||||||||||
| 2024-11-11 | Wild | @ | Wolves | |||||||||||
| 2024-11-12 | IceHogs | @ | Wolves | |||||||||||
| 2024-11-15 | Wolves | @ |  Griffins | |||||||||||
| 2024-11-18 | Wolves | @ | Admirals | |||||||||||
| 2024-11-19 | Admirals | @ | Wolves | |||||||||||
| 2024-11-24 | Wolves | @ |  Gulls | |||||||||||
| 2024-11-25 | Wolves | @ | Gulls | |||||||||||
| 2024-11-29 | Wolves | @ | Griffins | |||||||||||
| 2024-12-02 | Gulls | @ | Wolves | |||||||||||
| 2024-12-03 | Gulls | @ | Wolves | |||||||||||
| 2024-12-08 | Wolves | @ | Stars | |||||||||||
| 2024-12-09 | Wolves | @ | Stars | |||||||||||
| 2024-12-12 | Wolves | @ | Wild | |||||||||||
| 2024-12-16 | Stars | @ | Wolves | |||||||||||
| 2024-12-17 | IceHogs | @ | Wolves | |||||||||||
| 2024-12-19 |  Moose | @ | Wolves | |||||||||||
| 2024-12-22 | Wolves | @ | Admirals | |||||||||||
| 2024-12-23 | Admirals | @ | Wolves | |||||||||||
| 2024-12-27 | Wolves | @ | Admirals | |||||||||||
| 2024-12-29 | Griffins | @ | Wolves | |||||||||||
| 2024-12-30 | Monsters | @ | Wolves | |||||||||||
| 2025-01-02 | Stars | @ | Wolves | |||||||||||
| 2025-01-05 | Roadrunners | @ | Wolves | |||||||||||
| 2025-01-06 | Roadrunners | @ | Wolves | |||||||||||
| 2025-01-13 | Wolves | @ | Stars | |||||||||||
| 2025-01-14 | Wolves | @ | Stars | |||||||||||
| 2025-01-19 | Wolves | @ | IceHogs | |||||||||||
| 2025-01-23 | Wolves | @ | Moose | |||||||||||
| 2025-01-24 | Wolves | @ | Moose | |||||||||||
| 2025-01-27 | Admirals | @ | Wolves | |||||||||||
| 2025-01-28 | Moose | @ | Wolves | |||||||||||
| 2025-02-01 | Wolves | @ | Monsters | |||||||||||
| 2025-02-03 | Wolves | @ | Monsters | |||||||||||
| 2025-02-10 | Wolves | @ | IceHogs | |||||||||||
| 2025-02-13 | Wolves | @ | Admirals | |||||||||||
| 2025-02-16 | Wolves | @ | IceHogs | |||||||||||
| 2025-02-17 | Monsters | @ | Wolves | |||||||||||
| 2025-02-18 | Monsters | @ | Wolves | |||||||||||
| 2025-02-22 | Admirals | @ | Wolves | |||||||||||
| 2025-02-24 | Wolves | @ | Admirals | |||||||||||
| 2025-02-25 | Wild | @ | Wolves | |||||||||||
| 2025-03-02 | Wolves | @ | Monsters | |||||||||||
| 2025-03-03 | Wolves | @ | Monsters | |||||||||||
| 2025-03-09 | Wolves | @ | Griffins | |||||||||||
| 2025-03-10 | IceHogs | @ | Wolves | |||||||||||
| 2025-03-11 | Admirals | @ | Wolves | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2025-03-16 | Moose | @ | Wolves | |||||||||||
| 2025-03-17 | Moose | @ | Wolves | |||||||||||
| 2025-03-18 | Wild | @ | Wolves | |||||||||||
| 2025-03-21 | Wolves | @ | IceHogs | |||||||||||
| 2025-03-23 | Wolves | @ | Wild | |||||||||||
| 2025-03-24 | Wolves | @ | Wild | |||||||||||
| 2025-03-28 | IceHogs | @ | Wolves | |||||||||||
| 2025-03-30 | Griffins | @ | Wolves | |||||||||||
| 2025-03-31 | IceHogs | @ | Wolves | |||||||||||
| 2025-04-04 | Wolves | @ | Griffins | |||||||||||
| 2025-04-07 | Wolves | @ | Moose | |||||||||||
| 2025-04-08 | Wolves | @ | Moose | |||||||||||
| 2025-04-13 | Wolves | @ | Admirals | |||||||||||
| 2025-04-14 | Griffins | @ | Wolves | |||||||||||
| 2025-04-15 | Griffins | @ | Wolves | |||||||||||
| 2025-04-20 | Wolves | @ | IceHogs | |||||||||||
| 2025-04-21 | Wild | @ | Wolves | |||||||||||
| 2025-04-22 | IceHogs | @ | Wolves | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 1,449,833$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Chicago | |
| Capacity | 8000 | |
| Season Ticket Holders | 20% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
 |
| Arena Capacity | 5000 | 3000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 36 | 0 - 0.00% | 0$ | 0$ | 8000 | 110 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 1,449,833$ | 1,449,833$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 7,435$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 192 | 9,999$ | 1,949,805$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,949,805$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
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Rookie
Injured 
Cold Streak 
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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