 | Chicago Wolves |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Jason Pelletier | Morale : 50 | Team Overall : 61 Next Games #14 vs Rockford IceHogs |
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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 | C | L | R | D | CON | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Max Pacioretty | X | X | 100.00 | 71 | 42 | 78 | 70 | 83 | 84 | 85 | 72 | 52 | 70 | 65 | 65 | 69 | 92 | 82 | 0 | 50 | 71 | 0 | 36 | 1 | 0$ | ||||
| 2 | Jansen Harkins | X | X | X | 100.00 | 81 | 45 | 84 | 73 | 80 | 80 | 82 | 68 | 66 | 64 | 62 | 70 | 68 | 73 | 63 | 0 | 50 | 69 | 0 | 28 | 1 | 787,500$ | |||
| 3 | Colin White | X | X | X | 100.00 | 62 | 42 | 74 | 66 | 69 | 73 | 72 | 64 | 60 | 60 | 58 | 59 | 62 | 80 | 58 | 0 | 50 | 63 | 0 | 28 | 1 | 775,000$ | |||
| 4 | Logan Shaw | X | X | X | 100.00 | 60 | 42 | 69 | 61 | 68 | 72 | 71 | 66 | 46 | 65 | 59 | 61 | 62 | 65 | 61 | 0 | 50 | 63 | 0 | 32 | 1 | 0$ | |||
| 5 | Clark Bishop | X | 100.00 | 59 | 45 | 66 | 65 | 63 | 70 | 69 | 63 | 61 | 59 | 58 | 59 | 62 | 59 | 54 | 0 | 50 | 61 | 0 | 29 | 1 | 775,000$ | |||||
| 6 | Jagger Firkus | X | 100.00 | 58 | 41 | 67 | 67 | 57 | 61 | 60 | 62 | 42 | 61 | 58 | 59 | 62 | 50 | 50 | 0 | 50 | 60 | 0 | 21 | 2 | 891,667$ | |||||
| 7 | Spencer Smallman | X | 100.00 | 58 | 44 | 66 | 63 | 63 | 69 | 67 | 62 | 54 | 60 | 56 | 56 | 60 | 57 | 50 | 0 | 50 | 60 | 0 | 28 | 1 | 0$ | |||||
| 8 | Aidan McDonough | X | 100.00 | 61 | 41 | 71 | 65 | 67 | 65 | 61 | 60 | 42 | 53 | 56 | 59 | 60 | 53 | 50 | 0 | 50 | 59 | 0 | 25 | 1 | 0$ | |||||
| 9 | Kyle Clifford | X | 100.00 | 60 | 49 | 59 | 60 | 66 | 68 | 67 | 58 | 41 | 55 | 53 | 60 | 57 | 70 | 63 | 0 | 50 | 59 | 0 | 34 | 1 | 0$ | |||||
| 10 | Felix Unger Sorum | X | 100.00 | 58 | 41 | 68 | 62 | 61 | 58 | 57 | 59 | 42 | 59 | 54 | 54 | 58 | 50 | 50 | 0 | 50 | 57 | 0 | 19 | 2 | 831,667$ | |||||
| 11 | Tyson Empey | X | 100.00 | 57 | 53 | 59 | 60 | 64 | 69 | 67 | 56 | 41 | 51 | 52 | 54 | 56 | 63 | 53 | 0 | 50 | 57 | 0 | 30 | 1 | 0$ | |||||
| 12 | Jordan Dumais | X | 100.00 | 57 | 40 | 67 | 62 | 58 | 59 | 57 | 57 | 41 | 55 | 54 | 55 | 58 | 50 | 50 | 0 | 50 | 56 | 0 | 21 | 2 | 860,000$ | |||||
| 13 | Calen Addison | X | 100.00 | 58 | 45 | 65 | 70 | 66 | 74 | 72 | 69 | 40 | 69 | 58 | 60 | 66 | 65 | 52 | 0 | 50 | 64 | 0 | 25 | 1 | 775,000$ | |||||
| 14 | Ville Ottavainen | X | 100.00 | 68 | 43 | 67 | 63 | 71 | 64 | 62 | 64 | 40 | 59 | 56 | 67 | 61 | 50 | 50 | 0 | 50 | 63 | 0 | 22 | 1 | 867,500$ | |||||
| 15 | Colton White | X | 100.00 | 57 | 43 | 68 | 65 | 64 | 71 | 69 | 62 | 40 | 59 | 55 | 63 | 61 | 70 | 52 | 0 | 50 | 62 | 0 | 28 | 1 | 775,000$ | |||||
| 16 | Dillon Heatherington | X | 100.00 | 64 | 44 | 67 | 60 | 71 | 71 | 70 | 60 | 40 | 53 | 53 | 64 | 58 | 63 | 57 | 0 | 50 | 62 | 0 | 30 | 1 | 0$ | |||||
| 17 | Leo Loof | X | 100.00 | 59 | 45 | 64 | 65 | 63 | 64 | 63 | 59 | 40 | 59 | 51 | 64 | 58 | 51 | 50 | 0 | 50 | 60 | 0 | 23 | 1 | 867,500$ | |||||
| 18 | Eamon Powell | X | 100.00 | 55 | 40 | 66 | 64 | 57 | 59 | 57 | 55 | 40 | 54 | 54 | 60 | 58 | 51 | 50 | 0 | 50 | 58 | 0 | 23 | 1 | 0$ | |||||
| Scratches | ||||||||||||||||||||||||||||||
| 1 | Kyle Looft | X | 100.00 | 62 | 42 | 63 | 60 | 66 | 65 | 64 | 61 | 40 | 55 | 55 | 63 | 58 | 53 | 50 | 0 | 50 | 60 | 0 | 27 | 1 | 0$ | |||||
| 2 | Ole Julian Bjorgvik-Holm | X | 100.00 | 61 | 43 | 61 | 62 | 64 | 62 | 61 | 58 | 40 | 54 | 55 | 61 | 58 | 51 | 50 | 0 | 50 | 59 | 0 | 23 | 1 | 0$ | |||||
| 3 | Dyllan Gill | X | 100.00 | 59 | 40 | 67 | 62 | 61 | 59 | 57 | 57 | 40 | 54 | 55 | 59 | 58 | 50 | 50 | 0 | 50 | 58 | 0 | 21 | 2 | 870,000$ | |||||
| TEAM AVERAGE | 100.00 | 61 | 43 | 67 | 64 | 66 | 67 | 66 | 62 | 45 | 58 | 56 | 61 | 60 | 60 | 55 | 0 | 50 | 61 | |||||||||||
| 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 | CON | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Marcus Hogberg | 100.00 | 68 | 71 | 69 | 86 | 68 | 65 | 61 | 63 | 66 | 68 | 65 | 77 | 68 | 0 | 50 | 64 | 0 | 30 | 1 | 775,000$ | ||
| 2 | Matt Tomkins | 100.00 | 71 | 69 | 70 | 64 | 69 | 69 | 71 | 69 | 69 | 70 | 67 | 65 | 58 | 0 | 50 | 64 | 0 | 31 | 2 | 775,000$ | ||
| Scratches | ||||||||||||||||||||||||
| 1 | Mitch Gibson | 100.00 | 68 | 57 | 56 | 65 | 63 | 63 | 64 | 63 | 64 | 62 | 51 | 53 | 50 | 0 | 50 | 58 | 0 | 26 | 1 | 0$ | ||
| 2 | Mack Guzda | 100.00 | 55 | 49 | 49 | 64 | 56 | 54 | 54 | 51 | 54 | 54 | 45 | 51 | 50 | 0 | 50 | 51 | 0 | 24 | 1 | 0$ | ||
| TEAM AVERAGE | 100.00 | 66 | 62 | 61 | 70 | 64 | 63 | 63 | 62 | 63 | 64 | 57 | 62 | 57 | 0 | 50 | 59 | |||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| 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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| 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 |
|---|
| 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 | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aidan McDonough | Chicago Wolves (CAR) | LW | 25 | 1999-11-06 | USA | No | 201 Lbs | 6 ft2 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Calen Addison | Chicago Wolves (CAR) | D | 25 | 2000-04-11 | CAN | No | 181 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 1 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Clark Bishop | Chicago Wolves (CAR) | C | 29 | 1996-03-29 | CAN | No | 198 Lbs | 6 ft1 | No | No | Fantasy Draft | No | No | 1 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Colin White | Chicago Wolves (CAR) | C/LW/RW | 28 | 1997-01-30 | USA | No | 196 Lbs | 6 ft1 | No | No | Fantasy Draft | No | No | 1 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Colton White | Chicago Wolves (CAR) | D | 28 | 1997-05-03 | CAN | No | 187 Lbs | 6 ft1 | No | No | Fantasy Draft | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Dillon Heatherington | Chicago Wolves (CAR) | D | 30 | 1995-05-09 | CAN | No | 220 Lbs | 6 ft4 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Dyllan Gill | Chicago Wolves (CAR) | D | 21 | 2004-06-07 | CAN | No | 179 Lbs | 6 ft2 | No | No | Fantasy Draft | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 870,000$ | 870,000$ | 0$ | 0$ | No | 870,000$ | - | - | - | - | - | - | - | - | 870,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Eamon Powell | Chicago Wolves (CAR) | D | 23 | 2002-05-10 | USA | No | 165 Lbs | 5 ft11 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
| Felix Unger Sorum | Chicago Wolves (CAR) | RW | 19 | 2005-09-14 | SWE | No | 179 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 831,667$ | 831,667$ | 0$ | 0$ | No | 831,667$ | - | - | - | - | - | - | - | - | 831,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Jagger Firkus | Chicago Wolves (CAR) | RW | 21 | 2004-04-29 | CAN | No | 163 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 891,667$ | 891,667$ | 0$ | 0$ | No | 891,667$ | - | - | - | - | - | - | - | - | 891,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Jansen Harkins | Chicago Wolves (CAR) | C/LW/RW | 28 | 1997-05-23 | USA | No | 199 Lbs | 6 ft1 | No | No | Fantasy Draft | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 787,500$ | 787,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Jordan Dumais | Chicago Wolves (CAR) | RW | 21 | 2004-04-15 | CAN | No | 174 Lbs | 5 ft9 | No | No | Assign Manually | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 860,000$ | 860,000$ | 0$ | 0$ | No | 860,000$ | - | - | - | - | - | - | - | - | 860,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Kyle Clifford | Chicago Wolves (CAR) | LW | 34 | 1991-01-13 | CAN | No | 212 Lbs | 6 ft2 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Kyle Looft | Chicago Wolves (CAR) | D | 27 | 1998-06-27 | USA | No | 216 Lbs | 6 ft4 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Leo Loof | Chicago Wolves (CAR) | D | 23 | 2002-04-25 | SWE | No | 176 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 867,500$ | 867,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Logan Shaw | Chicago Wolves (CAR) | C/LW/RW | 32 | 1992-10-05 | CAN | No | 212 Lbs | 6 ft4 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Mack Guzda | Chicago Wolves (CAR) | G | 24 | 2001-01-11 | USA | No | 215 Lbs | 6 ft5 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Marcus Hogberg | Chicago Wolves (CAR) | G | 30 | 1994-11-25 | SWE | No | 234 Lbs | 6 ft5 | No | No | Fantasy Draft | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Matt Tomkins | Chicago Wolves (CAR) | G | 31 | 1994-06-19 | CAN | No | 192 Lbs | 6 ft4 | No | No | Fantasy Draft | No | No | 2 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
| Max Pacioretty | Chicago Wolves (CAR) | LW/RW | 36 | 1988-11-20 | USA | No | 217 Lbs | 6 ft2 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Mitch Gibson | Chicago Wolves (CAR) | G | 26 | 1999-06-25 | USA | No | 205 Lbs | 6 ft2 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Ole Julian Bjorgvik-Holm | Chicago Wolves (CAR) | D | 23 | 2002-05-23 | NOR | No | 198 Lbs | 6 ft4 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
| Spencer Smallman | Chicago Wolves (CAR) | RW | 28 | 1996-09-09 | CAN | No | 198 Lbs | 6 ft1 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Tyson Empey | Chicago Wolves (CAR) | LW | 30 | 1995-06-29 | CAN | No | 190 Lbs | 6 ft2 | No | No | Fantasy Draft | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Ville Ottavainen | Chicago Wolves (CAR) | D | 22 | 2002-08-12 | FIN | No | 216 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 867,500$ | 867,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 25 | 26.56 | 197 Lbs | 6 ft2 | 1.20 | 425,033$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 30 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 15 | 1 | 2 | 2 | |||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 30 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 15 | 1 | 2 | 2 | |||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | |||
| 2 | 50 | 1 | 2 | 2 | |||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 50 | 1 | 2 | 2 | |||
| 2 | 50 | 1 | 2 | 2 | |||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | ||
| 2 | 50 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | ||
| 2 | 50 | 1 | 2 | 2 | ||
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | 50 | 1 | 2 | 2 | |||
| 2 | 50 | 1 | 2 | 2 | 50 | 1 | 2 | 2 | |||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | ||
| 2 | 50 | 1 | 2 | 2 | ||
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | ||
| 2 | 50 | 1 | 2 | 2 | ||
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Penalty Shots |
|---|
| , , , , |
| Goalie |
|---|
| #1 : , #2 : |
| Custom OT Lines Forwards |
|---|
| , , , , , , , , , |
| Custom OT Lines Defensemen |
|---|
| , , , , |
| 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 |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 0 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 0 | 0 | 0 | 0 | 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 |
| Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
|---|---|---|---|---|---|---|---|---|---|---|
| 2 | 14 | Chicago Wolves | - |  Rockford IceHogs | - | |||||
| 3 | 26 | Chicago Wolves | - |  Iowa Wild | - | |||||
| 5 | 44 | Rockford IceHogs | - | Chicago Wolves | - | |||||
| 7 | 61 | Iowa Wild | - | Chicago Wolves | - | |||||
| 9 | 77 |  Colorado Eagles | - | Chicago Wolves | - | |||||
| 10 | 89 | Chicago Wolves | - | Colorado Eagles | - | |||||
| 12 | 104 | Chicago Wolves | - |  Texas Stars | - | |||||
| 13 | 119 |  Tucson Roadrunners | - | Chicago Wolves | - | |||||
| 15 | 133 | Chicago Wolves | - |  Manitoba Moose | - | |||||
| 17 | 149 | Chicago Wolves | - | Tucson Roadrunners | - | |||||
| 18 | 160 | Texas Stars | - | Chicago Wolves | - | |||||
| 20 | 179 |  Milwaukee Admirals | - | Chicago Wolves | - | |||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
| 22 | 188 | Chicago Wolves | - | Milwaukee Admirals | - | |||||
| 26 | 223 | Manitoba Moose | - | Chicago Wolves | - | |||||
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 6000 | 3000 |
| Ticket Price | 50 | 25 |
| Attendance | 0% | 0% |
| Attendance PCT | 0% | 0% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 7 | 0 - 0% | 0$ | 0$ | 9000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
| 0$ | 1,062,584$ | 1,062,584$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 27 | 0$ | 0$ |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
Belleville Senators
Bridgeport Islanders
Charlotte Checkers
Cleveland Monsters
Grand Rapids Griffins
Hartford Wolf Pack
Hershey Bears
Laval Rocket
Lehigh Valley Phantoms
Providence Bruins
Rochester Americans
Springfield Thunderbirds
Syracuse Crunch
Toronto Marlies
Utica Comets
Wilkes-Barre Penguins
Abbotsford Canucks
Bakersfield Condors
Calgary Wranglers
Coachella Valley Firebirds
Henderson Silver Knights
Ontario Reign
San Diego Gulls
San Jose Barracuda
