![]() | Butter Knives |
| GP: 51 | W: 24 | L: 23 | OTL: 4 | P: 52 GF: 235 | GA: 245 | PP%: 20.59% | PK%: 74.19% GM : Liam Silva Vail | Morale : 47 | Team Overall : 57 Next Games #584 vs Tomahawks |
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Luke Kunin | X | 100.00 | 81 | 65 | 73 | 66 | 70 | 75 | 86 | 68 | 63 | 60 | 62 | 70 | 50 | 65 | 66 | 0 | 63 | 64 | 0 | 28 | 1 | 500,000$ | ||||
| 2 | Isac Lundestrom | X | 100.00 | 64 | 55 | 92 | 66 | 68 | 73 | 89 | 66 | 69 | 62 | 50 | 78 | 50 | 62 | 67 | 0 | 63 | 63 | 0 | 26 | 3 | 500,000$ | ||||
| 3 | Robby Fabbri | X | 100.00 | 72 | 58 | 77 | 67 | 65 | 78 | 66 | 68 | 60 | 64 | 66 | 67 | 51 | 68 | 68 | 0 | 63 | 63 | 0 | 30 | 1 | 500,000$ | ||||
| 4 | Gage Goncalves (R) | X | 100.00 | 71 | 56 | 87 | 68 | 65 | 72 | 75 | 68 | 50 | 65 | 61 | 62 | 65 | 59 | 61 | 0 | 63 | 62 | 0 | 25 | 2 | 500,000$ | ||||
| 5 | Mark Kastelic | X | 100.00 | 88 | 70 | 72 | 66 | 82 | 67 | 74 | 66 | 71 | 62 | 54 | 63 | 50 | 64 | 64 | 0 | 63 | 62 | 0 | 26 | 4 | 500,000$ | ||||
| 6 | Mathieu Joseph | X | 100.00 | 77 | 56 | 84 | 66 | 66 | 70 | 74 | 66 | 64 | 63 | 52 | 68 | 52 | 67 | 67 | 0 | 63 | 62 | 0 | 28 | 1 | 1,000,000$ | ||||
| 7 | Jesse Puljujarvi | X | 100.00 | 80 | 58 | 83 | 65 | 78 | 67 | 59 | 68 | 50 | 62 | 59 | 59 | 50 | 64 | 64 | 0 | 63 | 61 | 0 | 27 | 2 | 500,000$ | ||||
| 8 | Tanner Jeannot | X | 100.00 | 86 | 69 | 76 | 64 | 79 | 68 | 79 | 62 | 50 | 60 | 58 | 61 | 50 | 66 | 65 | 0 | 63 | 61 | 0 | 28 | 1 | 2,000,000$ | ||||
| 9 | Ryan Lomberg | X | 100.00 | 73 | 69 | 86 | 66 | 64 | 63 | 88 | 68 | 50 | 61 | 50 | 61 | 50 | 69 | 67 | 0 | 63 | 60 | 0 | 31 | 2 | 500,000$ | ||||
| 10 | James Malatesta | X | 100.00 | 54 | 35 | 89 | 57 | 68 | 50 | 51 | 50 | 50 | 50 | 50 | 50 | 50 | 61 | 61 | 0 | 63 | 51 | 0 | 22 | 2 | 500,000$ | ||||
| 11 | Matthew Wood | X | 100.00 | 50 | 40 | 83 | 57 | 75 | 50 | 52 | 50 | 50 | 50 | 50 | 50 | 50 | 51 | 55 | 0 | 63 | 51 | 0 | 20 | 3 | 500,000$ | ||||
| 12 | Rutger McGroarty (R) | X | 100.00 | 56 | 50 | 89 | 50 | 73 | 56 | 53 | 52 | 50 | 50 | 50 | 50 | 50 | 53 | 57 | 0 | 22 | 51 | 0 | 21 | 3 | 500,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Angus Crookshank | X | 100.00 | 54 | 50 | 89 | 57 | 64 | 50 | 51 | 50 | 50 | 50 | 50 | 50 | 50 | 62 | 62 | 0 | 20 | 51 | 0 | 26 | 2 | 500,000$ | ||||
| 2 | Ryan Winterton | X | 100.00 | 55 | 55 | 90 | 57 | 62 | 51 | 52 | 50 | 50 | 50 | 50 | 50 | 50 | 56 | 57 | 0 | 54 | 51 | 0 | 22 | 2 | 500,000$ | ||||
| 3 | Gabe Perreault | X | 100.00 | 50 | 35 | 89 | 57 | 62 | 50 | 53 | 50 | 50 | 50 | 50 | 50 | 50 | 51 | 54 | 0 | 20 | 50 | 0 | 20 | 3 | 500,000$ | ||||
| TEAM AVERAGE | 100.00 | 67 | 55 | 84 | 62 | 69 | 63 | 67 | 60 | 55 | 57 | 54 | 59 | 51 | 61 | 62 | 0 | 54 | 58 | ||||||||||
| 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 | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Erik Portillo (R) | 100.00 | 60 | 60 | 63 | 81 | 54 | 50 | 50 | 50 | 50 | 50 | 50 | 60 | 60 | 0 | 76 | 56 | 0 | 25 | 3 | 682,000$ | |
| 2 | Sebastian Cossa (R) | 100.00 | 50 | 60 | 59 | 84 | 52 | 50 | 50 | 50 | 50 | 50 | 72 | 54 | 54 | 0 | 76 | 54 | 0 | 23 | 3 | 700,000$ | |
| Scratches | |||||||||||||||||||||||
| 1 | Drew Commesso (R) | 100.00 | 50 | 61 | 59 | 69 | 52 | 50 | 50 | 50 | 50 | 50 | 50 | 56 | 56 | 0 | 24 | 53 | 0 | 23 | 3 | 750,000$ | |
| TEAM AVERAGE | 100.00 | 53 | 60 | 60 | 78 | 53 | 50 | 50 | 50 | 50 | 50 | 57 | 57 | 57 | 0 | 59 | 54 | ||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bill Butters | 99 | 80 | 80 | 80 | 71 | 75 | 1 | USA | 74 | 5 | 500,000$ |
| 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 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Angus Crookshank | Butter Knives (BUF) | LW | 26 | 1999-10-02 | CAN | No | 183 Lbs | 5 ft10 | No | No | Free Agent | No | No | 2 | 2025-07-24 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Drew Commesso | Butter Knives (BUF) | G | 23 | 2002-07-19 | USA | Yes | 180 Lbs | 6 ft2 | No | No | Free Agent | No | No | 3 | 2025-07-31 | False | False | Pro & Farm | 750,000$ | 75,000$ | 27,500$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Erik Portillo | Butter Knives (BUF) | G | 25 | 2000-09-03 | SWE | Yes | 218 Lbs | 6 ft6 | No | No | Free Agent | No | No | 3 | 2025-07-31 | False | False | Pro & Farm | 682,000$ | 68,200$ | 25,007$ | No | 682,000$ | 682,000$ | - | - | - | - | - | - | - | 682,000$ | 682,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Gabe Perreault | Butter Knives (BUF) | RW | 20 | 2005-05-07 | CAN | No | 178 Lbs | 5 ft11 | No | No | Free Agent | No | No | 3 | 2025-07-31 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Gage Goncalves | Butter Knives (BUF) | C | 25 | 2001-01-16 | CAN | Yes | 184 Lbs | 6 ft1 | No | No | Free Agent | No | No | 2 | 2025-08-03 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Isac Lundestrom | Butter Knives (BUF) | C | 26 | 1999-11-06 | SWE | No | 191 Lbs | 6 ft0 | No | No | Free Agent | No | No | 3 | 2025-07-24 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| James Malatesta | Butter Knives (BUF) | LW | 22 | 2003-05-31 | CAN | No | 193 Lbs | 5 ft9 | No | No | Free Agent | No | No | 2 | 2025-07-24 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Jesse Puljujarvi | Butter Knives (BUF) | RW | 27 | 1998-05-07 | SWE | No | 216 Lbs | 6 ft4 | No | No | Trade | 2024-08-28 | No | No | 2 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Luke Kunin | Butter Knives (BUF) | C | 28 | 1997-12-04 | USA | No | 197 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | 2024-08-27 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Mark Kastelic | Butter Knives (BUF) | C | 26 | 1999-03-11 | USA | No | 227 Lbs | 6 ft4 | No | No | Free Agent | No | No | 4 | 2025-07-24 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | 500,000$ | 500,000$ | 500,000$ | - | - | - | - | - | - | 500,000$ | 500,000$ | 500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | |
| Mathieu Joseph | Butter Knives (BUF) | RW | 28 | 1997-02-09 | CAN | No | 186 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2024-08-27 | False | False | Pro & Farm | 1,000,000$ | 100,000$ | 36,667$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Matthew Wood | Butter Knives (BUF) | RW | 20 | 2005-02-06 | CAN | No | 205 Lbs | 6 ft5 | No | No | Free Agent | No | No | 3 | 2025-08-03 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Robby Fabbri | Butter Knives (BUF) | C | 30 | 1996-01-22 | CAN | No | 185 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | 2024-08-27 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Rutger McGroarty | Butter Knives (BUF) | RW | 21 | 2004-03-30 | USA | Yes | 203 Lbs | 6 ft1 | No | No | Free Agent | No | No | 3 | 2025-08-03 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Ryan Lomberg | Butter Knives (BUF) | LW | 31 | 1994-12-09 | CAN | No | 184 Lbs | 5 ft9 | No | No | Free Agent | No | No | 2 | 2025-07-24 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Ryan Winterton | Butter Knives (BUF) | C | 22 | 2003-09-04 | CAN | No | 175 Lbs | 6 ft2 | No | No | Free Agent | No | No | 2 | 2025-07-24 | False | False | Pro & Farm | 500,000$ | 50,000$ | 18,333$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Sebastian Cossa | Butter Knives (BUF) | G | 23 | 2002-11-21 | CAN | Yes | 229 Lbs | 6 ft6 | No | No | Free Agent | No | No | 3 | 2025-07-31 | False | False | Pro & Farm | 700,000$ | 70,000$ | 25,667$ | No | 700,000$ | 700,000$ | - | - | - | - | - | - | - | 700,000$ | 700,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Tanner Jeannot | Butter Knives (BUF) | LW | 28 | 1997-05-29 | CAN | No | 220 Lbs | 6 ft2 | No | No | Trade | 2024-08-10 | No | No | 1 | False | False | Pro & Farm | 2,000,000$ | 200,000$ | 73,333$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 18 | 25.06 | 197 Lbs | 6 ft1 | 2.28 | 646,222$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 | |||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 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 : |
| 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 |
| 1 | Aces | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 92 | 75 | 64 | 5 | 70 | 736 | 789 | 771 | 35 | 79 | 23 | 8 | 43 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 2 | Admirals | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 26 | 16 | 10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 9 | 5 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 0.750 | 26 | 50 | 76 | 0 | 0 | 92 | 75 | 64 | 5 | 196 | 736 | 789 | 771 | 35 | 126 | 41 | 26 | 84 | 12 | 3 | 25.00% | 12 | 4 | 66.67% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 3 | Americiens | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 20 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 13 | -1 | 2 | 0.333 | 15 | 28 | 43 | 0 | 0 | 92 | 75 | 64 | 5 | 154 | 736 | 789 | 771 | 35 | 151 | 54 | 27 | 88 | 6 | 0 | 0.00% | 12 | 4 | 66.67% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 4 | Barons | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 92 | 75 | 64 | 5 | 32 | 736 | 789 | 771 | 35 | 31 | 8 | 6 | 21 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 5 | Barracuda | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 10 | 10 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 3 | 0.750 | 10 | 19 | 29 | 0 | 0 | 92 | 75 | 64 | 5 | 95 | 736 | 789 | 771 | 35 | 86 | 28 | 12 | 39 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 6 | Bruins | 5 | 2 | 1 | 0 | 0 | 0 | 1 | 1 | 24 | 17 | 7 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 16 | 10 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 7 | 0.700 | 24 | 43 | 67 | 0 | 0 | 92 | 75 | 64 | 5 | 238 | 736 | 789 | 771 | 35 | 203 | 55 | 28 | 109 | 12 | 3 | 25.00% | 12 | 3 | 75.00% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 7 | Canucks | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 20 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 16 | -4 | 4 | 0.500 | 19 | 38 | 57 | 1 | 0 | 92 | 75 | 64 | 5 | 178 | 736 | 789 | 771 | 35 | 128 | 53 | 20 | 83 | 2 | 0 | 0.00% | 8 | 1 | 87.50% | 1 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 8 | Fighting Pandas | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 19 | 24 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 4 | 0.400 | 19 | 34 | 53 | 0 | 0 | 92 | 75 | 64 | 5 | 192 | 736 | 789 | 771 | 35 | 196 | 64 | 16 | 92 | 15 | 3 | 20.00% | 8 | 1 | 87.50% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 9 | Firebirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 92 | 75 | 64 | 5 | 49 | 736 | 789 | 771 | 35 | 32 | 11 | 4 | 23 | 0 | 0 | 0% | 2 | 0 | 100.00% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 10 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 92 | 75 | 64 | 5 | 54 | 736 | 789 | 771 | 35 | 63 | 23 | 2 | 31 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 11 | Ice Bats | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 20 | 12 | 8 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 9 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 5 | 0.833 | 20 | 40 | 60 | 0 | 0 | 92 | 75 | 64 | 5 | 148 | 736 | 789 | 771 | 35 | 125 | 35 | 10 | 82 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 12 | Lions | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 92 | 75 | 64 | 5 | 60 | 736 | 789 | 771 | 35 | 42 | 13 | 4 | 24 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 13 | Lynx | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 11 | 22 | -11 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 11 | 21 | 32 | 1 | 0 | 92 | 75 | 64 | 5 | 198 | 736 | 789 | 771 | 35 | 120 | 34 | 16 | 86 | 3 | 2 | 66.67% | 8 | 3 | 62.50% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 14 | Marlies | 7 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 27 | 34 | -7 | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 21 | 25 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 8 | 0.571 | 27 | 53 | 80 | 0 | 0 | 92 | 75 | 64 | 5 | 277 | 736 | 789 | 771 | 35 | 265 | 76 | 54 | 133 | 22 | 4 | 18.18% | 25 | 7 | 72.00% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 15 | Quacken | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 12 | 22 | 34 | 0 | 0 | 92 | 75 | 64 | 5 | 85 | 736 | 789 | 771 | 35 | 88 | 29 | 10 | 40 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 16 | Roadrunners | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 14 | 21 | 0 | 0 | 92 | 75 | 64 | 5 | 128 | 736 | 789 | 771 | 35 | 87 | 27 | 18 | 48 | 3 | 1 | 33.33% | 8 | 2 | 75.00% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 17 | Tomahawks | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 8 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 8 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 7 | 14 | 21 | 0 | 0 | 92 | 75 | 64 | 5 | 79 | 736 | 789 | 771 | 35 | 78 | 20 | 4 | 27 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 18 | Wombats | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 92 | 75 | 64 | 5 | 48 | 736 | 789 | 771 | 35 | 49 | 13 | 9 | 17 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| 19 | Wranglers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 7 | 14 | 21 | 0 | 0 | 92 | 75 | 64 | 5 | 38 | 736 | 789 | 771 | 35 | 67 | 15 | 4 | 24 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 |
| Total | 51 | 20 | 23 | 0 | 3 | 3 | 1 | 1 | 235 | 245 | -10 | 27 | 11 | 10 | 0 | 2 | 2 | 1 | 1 | 133 | 127 | 6 | 24 | 9 | 13 | 0 | 1 | 1 | 0 | 0 | 102 | 118 | -16 | 52 | 0.510 | 235 | 452 | 687 | 2 | 0 | 92 | 75 | 64 | 5 | 2319 | 736 | 789 | 771 | 35 | 2016 | 622 | 278 | 1094 | 102 | 21 | 20.59% | 124 | 32 | 74.19% | 1 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 | |
| _Since Last GM Reset | 51 | 20 | 23 | 0 | 3 | 3 | 1 | 1 | 235 | 245 | -10 | 27 | 11 | 10 | 0 | 2 | 2 | 1 | 1 | 133 | 127 | 6 | 24 | 9 | 13 | 0 | 1 | 1 | 0 | 0 | 102 | 118 | -16 | 52 | 0.510 | 235 | 452 | 687 | 2 | 0 | 92 | 75 | 64 | 5 | 2319 | 736 | 789 | 771 | 35 | 2016 | 622 | 278 | 1094 | 102 | 21 | 20.59% | 124 | 32 | 74.19% | 1 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 | |
| _Vs Conference | 33 | 12 | 17 | 0 | 2 | 0 | 1 | 1 | 138 | 152 | -14 | 17 | 6 | 8 | 0 | 1 | 0 | 1 | 1 | 77 | 77 | 0 | 16 | 6 | 9 | 0 | 1 | 0 | 0 | 0 | 61 | 75 | -14 | 31 | 0.470 | 138 | 261 | 399 | 1 | 0 | 92 | 75 | 64 | 5 | 1480 | 736 | 789 | 771 | 35 | 1229 | 375 | 198 | 680 | 74 | 16 | 21.62% | 89 | 25 | 71.91% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 | |
| _Vs Division | 24 | 8 | 13 | 0 | 1 | 0 | 1 | 1 | 96 | 117 | -21 | 14 | 4 | 7 | 0 | 1 | 0 | 1 | 1 | 57 | 63 | -6 | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 39 | 54 | -15 | 21 | 0.438 | 96 | 179 | 275 | 1 | 0 | 92 | 75 | 64 | 5 | 1059 | 736 | 789 | 771 | 35 | 935 | 283 | 141 | 508 | 58 | 12 | 20.69% | 65 | 18 | 72.31% | 0 | 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% | 1043 | 732 | 1412 | 376 | 628 | 286 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 51 | 52 | W1 | 235 | 452 | 687 | 2319 | 2016 | 622 | 278 | 1094 | 2 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 51 | 20 | 23 | 3 | 3 | 1 | 1 | 235 | 245 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 27 | 11 | 10 | 2 | 2 | 1 | 1 | 133 | 127 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 24 | 9 | 13 | 1 | 1 | 0 | 0 | 102 | 118 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 6 | 3 | 1 | 0 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 102 | 21 | 20.59% | 124 | 32 | 74.19% | 1 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 736 | 789 | 771 | 35 | 92 | 75 | 64 | 5 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 833 | 1934 | 43.07% | 836 | 1880 | 44.47% | 428 | 985 | 43.45% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 1043 | 732 | 1412 | 376 | 628 | 286 |
| 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 |
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 2000 | 1000 |
| Ticket Price | 35 | 15 |
| Attendance | 0 | 0 |
| Attendance PCT | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 14 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
| 1,081,160$ | 1,163,200$ | 1,163,200$ | 500,000$0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 1,163,200$ | 764,468$ | 18 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 66 | 9,240$ | 609,840$ |
| # | 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 |
|---|