![]() | Wranglers |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Steve Landry | Morale : 40 | Team Overall : 65 |
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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 | Barclay Goodrow | X | 100.00 | 84 | 29 | 79 | 75 | 74 | 77 | 77 | 70 | 69 | 71 | 73 | 77 | 68 | 69 | 58 | 29 | 40 | 73 | 0 | 27 | 2 | 950,000$ | |||||
| 2 | Jesper Bratt (R) | X | 100.00 | 72 | 46 | 74 | 75 | 78 | 80 | 76 | 76 | 74 | 77 | 74 | 66 | 77 | 60 | 48 | 53 | 40 | 72 | 0 | 22 | 1 | 950,000$ | |||||
| 3 | Nico Sturm | X | 100.00 | 71 | 29 | 88 | 75 | 82 | 82 | 81 | 73 | 74 | 77 | 67 | 68 | 74 | 67 | 63 | 37 | 40 | 72 | 0 | 25 | 1 | 950,000$ | |||||
| 4 | Phillip Danault | X | 100.00 | 74 | 31 | 74 | 74 | 78 | 77 | 78 | 75 | 70 | 63 | 77 | 68 | 75 | 65 | 57 | 30 | 40 | 71 | 0 | 27 | 1 | 950,000$ | |||||
| 5 | Taylor Raddysh (R) | X | 100.00 | 65 | 47 | 84 | 72 | 74 | 71 | 62 | 75 | 69 | 68 | 71 | 66 | 72 | 48 | 47 | 49 | 40 | 69 | 0 | 22 | 2 | 750,000$ | |||||
| 6 | Tanner Jeannot (R) | X | 100.00 | 80 | 41 | 69 | 72 | 75 | 66 | 76 | 74 | 65 | 75 | 68 | 67 | 69 | 49 | 47 | 48 | 40 | 69 | 0 | 23 | 1 | 600,000$ | |||||
| 7 | Ryan Donato (R) | X | 100.00 | 76 | 38 | 79 | 69 | 79 | 69 | 75 | 68 | 78 | 70 | 77 | 51 | 70 | 53 | 46 | 40 | 40 | 68 | 0 | 24 | 1 | 900,000$ | |||||
| 8 | Vladislav Kamenev (R) | X | 100.00 | 74 | 31 | 79 | 62 | 71 | 70 | 72 | 72 | 67 | 60 | 74 | 64 | 74 | 49 | 48 | 40 | 40 | 67 | 0 | 24 | 1 | 825,000$ | |||||
| 9 | Vitali Kravtsov (R) | X | 100.00 | 72 | 43 | 78 | 68 | 68 | 67 | 74 | 71 | 68 | 68 | 72 | 62 | 71 | 45 | 45 | 55 | 40 | 67 | 0 | 21 | 3 | 800,000$ | |||||
| 10 | Marco Rossi (R) | X | 100.00 | 56 | 39 | 82 | 70 | 50 | 65 | 71 | 65 | 78 | 87 | 67 | 43 | 51 | 43 | 43 | 69 | 40 | 64 | 0 | 19 | 2 | 500,000$ | |||||
| 11 | Kaapo Kakko (R) | X | 100.00 | 62 | 44 | 75 | 64 | 66 | 71 | 57 | 71 | 68 | 66 | 63 | 55 | 71 | 41 | 42 | 71 | 40 | 63 | 0 | 19 | 1 | 500,000$ | |||||
| 12 | Erik Brannstrom (R) | X | 100.00 | 66 | 29 | 77 | 79 | 72 | 67 | 83 | 90 | 50 | 88 | 71 | 76 | 51 | 61 | 47 | 59 | 40 | 74 | 0 | 21 | 1 | 800,000$ | |||||
| 13 | Dominik Masin (R) | X | 100.00 | 70 | 31 | 87 | 75 | 75 | 75 | 74 | 67 | 42 | 71 | 54 | 80 | 62 | 65 | 51 | 40 | 40 | 72 | 0 | 24 | 2 | 900,000$ | |||||
| 14 | Christian Jaros (R) | X | 100.00 | 72 | 29 | 83 | 72 | 71 | 69 | 70 | 70 | 46 | 75 | 53 | 78 | 58 | 57 | 51 | 36 | 40 | 70 | 0 | 24 | 2 | 900,000$ | |||||
| 15 | Petteri Lindbohm | X | 100.00 | 62 | 40 | 75 | 71 | 71 | 72 | 74 | 73 | 51 | 68 | 73 | 76 | 60 | 57 | 56 | 28 | 40 | 69 | 0 | 27 | 1 | 850,000$ | |||||
| 16 | Trevor Carrick | X | 100.00 | 63 | 38 | 78 | 82 | 69 | 66 | 73 | 74 | 41 | 77 | 55 | 69 | 44 | 54 | 54 | 27 | 40 | 69 | 0 | 26 | 1 | 825,000$ | |||||
| 17 | Brandon Hickey (R) | X | 100.00 | 68 | 27 | 87 | 67 | 65 | 69 | 71 | 61 | 43 | 73 | 50 | 79 | 59 | 58 | 50 | 32 | 40 | 68 | 0 | 24 | 2 | 900,000$ | |||||
| 18 | Darren Raddysh (R) | X | 100.00 | 67 | 29 | 96 | 68 | 63 | 73 | 70 | 53 | 49 | 70 | 41 | 70 | 43 | 52 | 48 | 37 | 40 | 66 | 0 | 24 | 2 | 600,000$ | |||||
| Scratches | ||||||||||||||||||||||||||||||
| 1 | Ivan Chekhovich (R) | X | 100.00 | 66 | 28 | 80 | 53 | 80 | 60 | 63 | 64 | 63 | 65 | 80 | 42 | 68 | 43 | 43 | 49 | 40 | 63 | 0 | 21 | 2 | 600,000$ | |||||
| 2 | Radim Zohorna (R) | X | 100.00 | 62 | 44 | 78 | 67 | 73 | 76 | 65 | 63 | 59 | 59 | 73 | 49 | 62 | 49 | 47 | 37 | 40 | 63 | 0 | 24 | 1 | 700,000$ | |||||
| 3 | Skyler Brind'Amour (R) | X | 100.00 | 48 | 37 | 79 | 56 | 57 | 73 | 60 | 51 | 58 | 58 | 59 | 60 | 58 | 43 | 43 | 48 | 40 | 57 | 0 | 21 | 2 | 600,000$ | |||||
| 4 | Chase Bradley (R) | X | 100.00 | 61 | 40 | 60 | 60 | 69 | 40 | 75 | 56 | 50 | 63 | 58 | 48 | 55 | 40 | 40 | 66 | 40 | 56 | 0 | 18 | 2 | 500,000$ | |||||
| 5 | Lucas Feuk (R) | X | 100.00 | 48 | 37 | 61 | 59 | 50 | 59 | 52 | 55 | 50 | 57 | 52 | 40 | 59 | 41 | 41 | 61 | 40 | 52 | 0 | 19 | 1 | 500,000$ | |||||
| 6 | Cole Schwindt (R) | X | 100.00 | 62 | 40 | 51 | 51 | 68 | 39 | 67 | 55 | 51 | 48 | 62 | 43 | 51 | 41 | 41 | 73 | 40 | 52 | 0 | 19 | 1 | 500,000$ | |||||
| 7 | Zac Jones (R) | X | 100.00 | 47 | 36 | 78 | 80 | 58 | 55 | 61 | 75 | 42 | 78 | 61 | 69 | 43 | 44 | 44 | 61 | 40 | 64 | 0 | 20 | 1 | 500,000$ | |||||
| 8 | Yegor Zaitsev (R) | X | 100.00 | 59 | 35 | 65 | 52 | 73 | 73 | 52 | 59 | 28 | 63 | 47 | 59 | 41 | 44 | 46 | 44 | 40 | 59 | 0 | 22 | 1 | 500,000$ | |||||
| 9 | William Villeneuve (R) | X | 100.00 | 54 | 26 | 68 | 70 | 45 | 41 | 57 | 70 | 33 | 57 | 43 | 49 | 33 | 40 | 40 | 77 | 40 | 54 | 0 | 18 | 2 | 500,000$ | |||||
| 10 | Yan Kuznetsov (R) | X | 100.00 | 55 | 19 | 78 | 47 | 48 | 56 | 54 | 53 | 29 | 61 | 43 | 59 | 36 | 40 | 40 | 61 | 40 | 54 | 0 | 18 | 2 | 500,000$ | |||||
| TEAM AVERAGE | 100.00 | 65 | 35 | 77 | 67 | 68 | 66 | 69 | 67 | 56 | 68 | 63 | 62 | 59 | 51 | 47 | 48 | 40 | 65 | |||||||||||
| 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 | Vitek Vanecek | 100.00 | 65 | 75 | 73 | 65 | 67 | 75 | 81 | 62 | 67 | 77 | 68 | 54 | 55 | 39 | 40 | 70 | 0 | 24 | 2 | 800,000$ | ||
| 2 | Joel Hofer | 100.00 | 71 | 59 | 69 | 78 | 72 | 60 | 52 | 64 | 67 | 61 | 72 | 45 | 44 | 58 | 40 | 63 | 0 | 20 | 3 | 800,000$ | ||
| Scratches | ||||||||||||||||||||||||
| 1 | Collin Delia | 100.00 | 78 | 63 | 71 | 76 | 73 | 65 | 58 | 64 | 69 | 64 | 74 | 46 | 45 | 43 | 40 | 66 | 0 | 26 | 1 | 700,000$ | ||
| 2 | Nico Daws (R) | 100.00 | 60 | 69 | 55 | 58 | 60 | 70 | 68 | 61 | 65 | 56 | 56 | 42 | 43 | 73 | 40 | 61 | 0 | 19 | 2 | 500,000$ | ||
| TEAM AVERAGE | 100.00 | 69 | 67 | 67 | 69 | 68 | 68 | 65 | 63 | 67 | 65 | 68 | 47 | 47 | 53 | 40 | 65 | |||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Craig MacTavish | 78 | 75 | 69 | 75 | 76 | 67 | 52 | CAN | 58 | 1 | 800,000$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Barclay Goodrow | Wranglers (Cal) | RW | 27 | 1993-01-01 | CAN | No | 215 Lbs | 6 ft2 | No | No | Free Agent | No | No | 2 | 2025-10-01 | False | False | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Brandon Hickey | Wranglers (Cal) | D | 24 | 1996-01-01 | CAN | Yes | 201 Lbs | 6 ft2 | No | No | Free Agent | No | No | 2 | 2024-09-07 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Chase Bradley | Wranglers (Cal) | LW | 18 | 2002-01-01 | USA | Yes | 181 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2025-07-16 | False | False | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Christian Jaros | Wranglers (Cal) | D | 24 | 1996-01-01 | SVK | Yes | 222 Lbs | 6 ft3 | No | No | Free Agent | No | No | 2 | 2025-10-01 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Cole Schwindt | Wranglers (Cal) | RW | 19 | 2001-01-01 | CAN | Yes | 183 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-07-10 | False | False | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Collin Delia | Wranglers (Cal) | G | 26 | 1994-01-01 | USA | No | 207 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Darren Raddysh | Wranglers (Cal) | D | 24 | 1996-01-01 | CAN | Yes | 200 Lbs | 6 ft1 | No | No | Free Agent | No | No | 2 | 2024-09-07 | False | False | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | 600,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Dominik Masin | Wranglers (Cal) | D | 24 | 1996-01-01 | CZE | Yes | 196 Lbs | 6 ft2 | No | No | Free Agent | No | No | 2 | 2025-10-01 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Erik Brannstrom | Wranglers (Cal) | D | 21 | 1999-01-01 | SWE | Yes | 185 Lbs | 5 ft10 | No | No | Free Agent | No | No | 1 | 2024-09-07 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Ivan Chekhovich | Wranglers (Cal) | LW | 21 | 1999-01-01 | RUS | Yes | 187 Lbs | 5 ft10 | No | No | Free Agent | No | No | 2 | 2024-09-07 | False | False | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | 600,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Jesper Bratt | Wranglers (Cal) | LW | 22 | 1998-01-01 | SWE | Yes | 185 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Joel Hofer | Wranglers (Cal) | G | 20 | 2000-01-01 | CAN | No | 179 Lbs | 6 ft5 | No | No | Free Agent | No | No | 3 | 2025-10-01 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Kaapo Kakko | Wranglers (Cal) | RW | 19 | 2001-01-01 | FIN | Yes | 205 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-07-10 | False | False | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Lucas Feuk | Wranglers (Cal) | LW | 19 | 2001-01-01 | SWE | Yes | 190 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-07-10 | False | False | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Marco Rossi | Wranglers (Cal) | C | 19 | 2001-01-01 | AUT | Yes | 183 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 2 | 2025-07-16 | False | False | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Nico Daws | Wranglers (Cal) | G | 19 | 2001-01-01 | CAN | Yes | 205 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 2 | 2025-07-16 | False | False | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Nico Sturm | Wranglers (Cal) | C | 25 | 1995-01-01 | DEU | No | 207 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Petteri Lindbohm | Wranglers (Cal) | D | 27 | 1993-01-01 | FIN | No | 209 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Phillip Danault | Wranglers (Cal) | LW | 27 | 1993-01-01 | CAN | No | 201 Lbs | 6 ft0 | No | No | Free Agent | 2024-10-20 | No | No | 1 | 2025-10-01 | False | False | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
| Radim Zohorna | Wranglers (Cal) | LW | 24 | 1996-01-01 | CZE | Yes | 229 Lbs | 6 ft6 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Ryan Donato | Wranglers (Cal) | C | 24 | 1996-01-01 | CAN | Yes | 193 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Skyler Brind'Amour | Wranglers (Cal) | C | 21 | 1999-01-01 | USA | Yes | 185 Lbs | 6 ft2 | No | No | Free Agent | No | No | 2 | 2024-09-07 | False | False | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | 600,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Tanner Jeannot | Wranglers (Cal) | LW | 23 | 1997-01-01 | CAN | Yes | 214 Lbs | 6 ft2 | No | No | Trade | 2024-10-20 | No | No | 1 | False | False | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Taylor Raddysh | Wranglers (Cal) | RW | 22 | 1998-01-01 | CAN | Yes | 198 Lbs | 6 ft3 | No | No | Free Agent | No | No | 2 | 2024-09-07 | False | False | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Trevor Carrick | Wranglers (Cal) | D | 26 | 1994-01-01 | CAN | No | 171 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 825,000$ | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Vitali Kravtsov | Wranglers (Cal) | LW | 21 | 1999-01-01 | RUS | Yes | 186 Lbs | 6 ft3 | No | No | Free Agent | No | No | 3 | 2025-10-01 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Vitek Vanecek | Wranglers (Cal) | G | 24 | 1996-01-01 | CZE | No | 190 Lbs | 5 ft11 | No | No | Free Agent | No | No | 2 | 2024-09-07 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Vladislav Kamenev | Wranglers (Cal) | C | 24 | 1996-01-01 | RUS | Yes | 194 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 825,000$ | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| William Villeneuve | Wranglers (Cal) | D | 18 | 2002-01-01 | CAN | Yes | 181 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2025-07-16 | False | False | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Yan Kuznetsov | Wranglers (Cal) | D | 18 | 2002-01-01 | RUS | Yes | 209 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 2 | 2025-07-16 | False | False | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Yegor Zaitsev | Wranglers (Cal) | D | 22 | 1998-01-01 | RUS | Yes | 187 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-07-10 | False | False | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Zac Jones | Wranglers (Cal) | D | 20 | 2000-01-01 | USA | Yes | 176 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 1 | 2024-07-10 | False | False | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 32 | 22.25 | 195 Lbs | 6 ft1 | 1.56 | 707,813$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Jesper Bratt | Nico Sturm | Barclay Goodrow | 40 | 1 | 2 | 2 |
| 2 | Phillip Danault | Ryan Donato | Taylor Raddysh | 30 | 1 | 2 | 2 |
| 3 | Tanner Jeannot | Vladislav Kamenev | Kaapo Kakko | 20 | 1 | 2 | 2 |
| 4 | Vitali Kravtsov | Marco Rossi | Darren Raddysh | 10 | 1 | 2 | 2 |
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Dominik Masin | Erik Brannstrom | 40 | 1 | 2 | 2 | |
| 2 | Brandon Hickey | Christian Jaros | 30 | 1 | 2 | 2 | |
| 3 | Trevor Carrick | Petteri Lindbohm | 20 | 1 | 2 | 2 | |
| 4 | Brandon Hickey | Christian Jaros | 10 | 1 | 2 | 2 | |
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Jesper Bratt | Nico Sturm | Taylor Raddysh | 60 | 1 | 2 | 2 |
| 2 | Phillip Danault | Ryan Donato | Barclay Goodrow | 40 | 1 | 2 | 2 |
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Dominik Masin | Erik Brannstrom | 60 | 1 | 2 | 2 | |
| 2 | Brandon Hickey | Christian Jaros | 40 | 1 | 2 | 2 | |
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Nico Sturm | Barclay Goodrow | 60 | 1 | 2 | 2 |
| 2 | Marco Rossi | Phillip Danault | 40 | 1 | 2 | 2 |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Dominik Masin | Erik Brannstrom | 60 | 1 | 2 | 2 |
| 2 | Brandon Hickey | Christian Jaros | 40 | 1 | 2 | 2 |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Barclay Goodrow | 60 | 1 | 2 | 2 | Dominik Masin | Christian Jaros | 60 | 1 | 2 | 2 |
| 2 | Nico Sturm | 40 | 1 | 2 | 2 | Brandon Hickey | Petteri Lindbohm | 40 | 1 | 2 | 2 |
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Nico Sturm | Jesper Bratt | 60 | 1 | 2 | 2 |
| 2 | Ryan Donato | Barclay Goodrow | 40 | 1 | 2 | 2 |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Dominik Masin | Erik Brannstrom | 60 | 1 | 2 | 2 |
| 2 | Brandon Hickey | Christian Jaros | 40 | 1 | 2 | 2 |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Jesper Bratt | Nico Sturm | Barclay Goodrow | Dominik Masin | Erik Brannstrom |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Phillip Danault | Nico Sturm | Barclay Goodrow | Dominik Masin | Christian Jaros |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Jesper Bratt, Ryan Donato, Phillip Danault | Phillip Danault, Vladislav Kamenev | Phillip Danault |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Dominik Masin, Erik Brannstrom, Petteri Lindbohm | Brandon Hickey | Christian Jaros, Petteri Lindbohm |
| Penalty Shots |
|---|
| Ryan Donato, Barclay Goodrow, Nico Sturm, Jesper Bratt, Phillip Danault |
| Goalie |
|---|
| #1 : Vitek Vanecek, #2 : Joel Hofer, #3 : 0 |
| Custom OT Lines Forwards |
|---|
| Nico Sturm, Barclay Goodrow, Ryan Donato, Jesper Bratt, Phillip Danault, Taylor Raddysh, Vitali Kravtsov, Vladislav Kamenev, Tanner Jeannot, Marco Rossi |
| Custom OT Lines Defensemen |
|---|
| Erik Brannstrom, Dominik Masin, Christian Jaros, Trevor Carrick, Brandon Hickey |
| 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 |
|---|
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 2000 | 1000 |
| Ticket Price | 70 | 40 |
| Attendance | 0% | 0% |
| Attendance PCT | 0% | 0% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 40 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
| 0$ | 2,265,000$ | 2,265,000$ | 800,000$0$ |
| 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$ | 0 | 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 |
|---|