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 | Chicago Wolfes 7-3-0, 14pts · 3rd in Conference Ouest |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Alex Formenton | 0 | LW | 100.00 | 69 | 38 | 79 | 76 | 82 | 85 | 87 | 69 | 58 | 64 | 71 | 83 | 72 | 63 | 64 | 72 | 84 | 0 | 24 | 1,000,000$/1yrs | |||
 Fabian Zetterlund | 0 | RW | 100.00 | 72 | 45 | 89 | 74 | 87 | 84 | 76 | 78 | 50 | 76 | 66 | 67 | 73 | 58 | 50 | 1 | 84 | 0 | 24 | 1,450,000$/2yrs | |||
 Sheldon Dries | 0 | C | 100.00 | 74 | 65 | 74 | 79 | 72 | 83 | 83 | 75 | 74 | 66 | 71 | 70 | 75 | 70 | 60 | 1 | 84 | 0 | 30 | 750,000$/1yrs | |||
 Troy Stecher | 0 | D | 100.00 | 71 | 60 | 72 | 79 | 73 | 85 | 87 | 76 | 40 | 71 | 65 | 79 | 73 | 78 | 68 | 1 | 82 | 0 | 30 | 750,000$/1yrs | |||
 Kyle Burroughs | 0 | D | 100.00 | 76 | 80 | 61 | 75 | 77 | 86 | 75 | 70 | 40 | 63 | 63 | 76 | 69 | 60 | 53 | 1 | 84 | 0 | 28 | 750,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Laurent Brossoit | 0 | 100.00 | 83 | 79 | 77 | 89 | 78 | 79 | 79 | 80 | 80 | 79 | 76 | 83 | 76 | 1 | 71 | 0 | 31 | 1,800,000$/1yrs |
| Scratches | ||||||||||||||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bill Peters | 71 | 77 | 76 | 75 | 84 | 78 | 63 | CAN | 57 | 3 | 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 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Formenton  | LW | 24 | 1,000,000$ | 1,000,000$ |  RFA | ||||||
| Fabian Zetterlund | RW | 24 | 1,450,000$ | 1,450,000$ | 1,450,000$ | RFA | |||||
| Kyle Burroughs | D | 28 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | UFA | ||||
| Laurent Brossoit | G | 31 | 1,800,000$ | 1,800,000$ | UFA | ||||||
| Sheldon Dries | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
| Troy Stecher | D | 30 | 750,000$ | 750,000$ | UFA |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
| 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 |  Wild | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 28 | 27 | 1 | 8 | 0.571 | 28 | 55 | 83 | 0 | 0 | 5 | 17 | 16 | 2 | 143 | 34 | 85 | 90 | 3 | 133 | 38 | 36 | 108 | 21 | 8 | 38.10% | 18 | 11 | 38.89% | 1 | 61 | 127 | 48.03% | 48 | 103 | 46.60% | 96 | 203 | 47.29% | 234 | 150 | 214 | 82 | 157 | 80 | 55.6% | 19.6% | 79.7% | 99.3 | FUN |
| 2 |  Barracuda | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 6 | 1.000 | 12 | 20 | 32 | 0 | 0 | 5 | 17 | 16 | 2 | 69 | 34 | 85 | 90 | 3 | 68 | 29 | 2 | 37 | 8 | 4 | 50.00% | 1 | 1 | 0.00% | 0 | 61 | 127 | 48.03% | 48 | 103 | 46.60% | 96 | 203 | 47.29% | 234 | 150 | 214 | 82 | 157 | 80 | 50.0% | 17.4% | 86.8% | 104.2 | FUN |
| _Vs Division | 3 | 7 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 14 | 2.333 | 12 | 20 | 32 | 0 | 0 | 5 | 17 | 16 | 2 | 69 | 34 | 85 | 90 | 3 | 68 | 29 | 2 | 37 | 8 | 4 | 50.00% | 1 | 1 | 0.00% | 0 | 61 | 127 | 48.03% | 48 | 103 | 46.60% | 96 | 203 | 47.29% | 234 | 150 | 214 | 82 | 157 | 80 | 50.0% | 17.4% | 86.8% | 104.2 | FUN | |
| _Vs Conference | 10 | 7 | 3 | 0 | 0 | 0 | 0 | 0 | 40 | 36 | 4 | 14 | 0.700 | 40 | 75 | 115 | 0 | 0 | 5 | 17 | 16 | 2 | 212 | 34 | 85 | 90 | 3 | 201 | 67 | 38 | 145 | 29 | 12 | 41.38% | 19 | 12 | 36.84% | 1 | 61 | 127 | 48.03% | 48 | 103 | 46.60% | 96 | 203 | 47.29% | 234 | 150 | 214 | 82 | 157 | 80 | 53.8% | 18.9% | 82.1% | 101.0 | FUN | |
| _Since Last GM Reset | 10 | 7 | 3 | 0 | 0 | 0 | 0 | 0 | 40 | 36 | 4 | 14 | 0.700 | 40 | 75 | 115 | 0 | 0 | 5 | 17 | 16 | 2 | 212 | 34 | 85 | 90 | 3 | 201 | 67 | 38 | 145 | 29 | 12 | 41.38% | 19 | 12 | 36.84% | 1 | 61 | 127 | 48.03% | 48 | 103 | 46.60% | 96 | 203 | 47.29% | 234 | 150 | 214 | 82 | 157 | 80 | 53.8% | 18.9% | 82.1% | 101.0 | FUN | |
| Total | 10 | 7 | 3 | 0 | 0 | 0 | 0 | 0 | 40 | 36 | 4 | 14 | 0.700 | 40 | 75 | 115 | 0 | 0 | 5 | 17 | 16 | 2 | 212 | 34 | 85 | 90 | 3 | 201 | 67 | 38 | 145 | 29 | 12 | 41.38% | 19 | 12 | 36.84% | 1 | 61 | 127 | 48.03% | 48 | 103 | 46.60% | 96 | 203 | 47.29% | 234 | 150 | 214 | 82 | 157 | 80 | 53.8% | 18.9% | 82.1% | 101.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 15 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 127 |
| Neutral Zone Start | 203 |
| Defensive Zone Start | 103 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 205 |
| Faceoffs Lost | 228 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.4 | 9.57 |
| 2nd Period | 11.9 | 20.31 |
| 3rd Period | 20.9 | 30.68 |
| Overtime | 21.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.8 | 2.67 |
| Overtime | 4.0 | 2.83 |
| Even Strenght Goal | 27 |
|---|---|
| PP Goal | 12 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 3 | 4 |
| Lost | 2 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 29 |
|---|---|
| PP Goal | 12 |
| PK Attempt | 19 |
| PK Goal Against | 12 |
| Home | |
|---|---|
| Shots For | 21.2 |
| Shots Against | 20.1 |
| Goals For | 4.0 |
| Goals Against | 3.6 |
| Hits | 14.5 |
| Shots Blocked | 6.7 |
| Pim | 3.8 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024-04-19 | IOW | VS | WFS | IOW6,WFS4 | RECAP | |||||||||
| 2024-04-21 | IOW | VS | WFS | IOW1,WFS2 | RECAP | |||||||||
| 2024-04-23 | WFS | VS | IOW | WFS5,IOW3 | RECAP | |||||||||
| 2024-04-25 | WFS | VS | IOW | WFS4,IOW5 | RECAP | |||||||||
| 2024-04-27 | IOW | VS | WFS | IOW5,WFS4 | RECAP | |||||||||
| 2024-04-29 | WFS | VS | IOW | WFS4,IOW3 (OT) | RECAP | |||||||||
| 2024-05-01 | IOW | VS | WFS | IOW4,WFS5 | RECAP | |||||||||
| 2024-05-03 | WFS | VS | SJB | WFS4,SJB3 (OT) | RECAP | |||||||||
| 2024-05-05 | WFS | VS | SJB | WFS5,SJB4 | RECAP | |||||||||
| 2024-05-07 | SJB | VS | WFS | SJB2,WFS3 | RECAP | |||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2024-05-09 | SJB | VS | WFS | |||||||||||
| 2024-05-11 | WFS | VS | SJB | |||||||||||
| 2024-05-13 | SJB | VS | WFS | |||||||||||
| 2024-05-15 | WFS | VS | SJB | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 470,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Chicago | |
| Capacity | 11000 | |
| Season Ticket Holders | 20% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 27900 | 22848 | |||
| Attendance PCT | 93.00% | 91.39% | 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 |
| 36 | 10150 - 92.27% | 237,460$ | 1,187,299$ | 11000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 470,000$ | 470,000$ | 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$ | 8 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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