![]() | TigersCats |
| GP: 39 | W: 26 | L: 11 | OTL: 2 | P: 54 GF: 159 | GA: 115 | PP%: 16.42% | PK%: 85.78% GM : Jean-Denis Larouche | Morale : 90 | Team Overall : 59 Next Games #626 vs Warriors |
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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 | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Adam Gaudette | X | 100.00 | 65 | 45 | 91 | 82 | 60 | 52 | 98 | 58 | 80 | 47 | 69 | 63 | 67 | 88 | 75 | 0 | 90 | 65 | 0 | 28 | 4 | 1,000,000$ | ||||
| 2 | Kevin Rooney | X | 100.00 | 81 | 45 | 90 | 78 | 63 | 50 | 85 | 51 | 77 | 46 | 56 | 78 | 65 | 91 | 78 | 0 | 90 | 65 | 0 | 32 | 1 | 1,025,000$ | ||||
| 3 | Justin Brazeau (R) | X | 100.00 | 83 | 45 | 89 | 76 | 90 | 59 | 92 | 57 | 30 | 52 | 62 | 56 | 67 | 87 | 76 | 0 | 90 | 63 | 0 | 27 | 1 | 1,025,000$ | ||||
| 4 | Ethen Frank (R) | X | 100.00 | 56 | 45 | 88 | 81 | 56 | 54 | 40 | 57 | 30 | 50 | 64 | 59 | 67 | 87 | 75 | 0 | 90 | 57 | 0 | 27 | 3 | 900,000$ | ||||
| 5 | Colin White | X | 100.00 | 50 | 45 | 95 | 76 | 64 | 50 | 40 | 45 | 30 | 40 | 50 | 68 | 50 | 88 | 75 | 0 | 90 | 55 | 0 | 28 | 4 | 1,000,000$ | ||||
| 6 | Kailer Yamamoto | X | 100.00 | 56 | 45 | 92 | 81 | 47 | 61 | 40 | 51 | 30 | 44 | 58 | 57 | 65 | 86 | 75 | 0 | 90 | 55 | 0 | 27 | 5 | 1,500,000$ | ||||
| 7 | Johnny Gaudreau | X | 100.00 | 50 | 45 | 88 | 94 | 41 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 90 | 86 | 0 | 90 | 53 | 0 | 32 | 1 | 6,750,000$ | ||||
| 8 | Thomas Bordeleau | X | 100.00 | 50 | 45 | 95 | 78 | 50 | 53 | 40 | 45 | 30 | 40 | 50 | 60 | 50 | 83 | 71 | 0 | 90 | 53 | 0 | 23 | 3 | 900,000$ | ||||
| 9 | Curtis McKenzie | X | 100.00 | 50 | 45 | 95 | 75 | 73 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 92 | 79 | 0 | 90 | 53 | 0 | 33 | 2 | 850,000$ | ||||
| 10 | Rem Pitlick | X | 100.00 | 50 | 45 | 92 | 78 | 56 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 87 | 80 | 0 | 90 | 52 | 0 | 28 | 4 | 1,000,000$ | ||||
| 11 | Brayden Pachal | X | 100.00 | 94 | 57 | 63 | 79 | 64 | 59 | 92 | 52 | 30 | 50 | 55 | 80 | 66 | 85 | 73 | 0 | 90 | 68 | 0 | 26 | 1 | 1,500,000$ | ||||
| 12 | Nick Perbix | X | 100.00 | 61 | 45 | 88 | 81 | 70 | 61 | 89 | 57 | 30 | 54 | 60 | 68 | 67 | 86 | 75 | 0 | 90 | 66 | 0 | 27 | 5 | 2,100,000$ | ||||
| 13 | Nick Leddy | X | 100.00 | 50 | 45 | 93 | 78 | 62 | 78 | 40 | 53 | 30 | 48 | 58 | 69 | 66 | 94 | 87 | 0 | 90 | 63 | 0 | 34 | 3 | 3,800,000$ | ||||
| 14 | Jaycob Megna | X | 100.00 | 50 | 45 | 92 | 74 | 78 | 67 | 40 | 45 | 30 | 40 | 50 | 67 | 50 | 92 | 82 | 0 | 90 | 61 | 0 | 32 | 2 | 900,000$ | ||||
| 15 | Mikhail Maltsev (R) | X | 100.00 | 50 | 45 | 95 | 76 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 56 | 0 | 27 | 1 | 800,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 60 | 46 | 90 | 79 | 62 | 56 | 57 | 50 | 36 | 45 | 55 | 63 | 59 | 88 | 77 | 0 | 90 | 59 | ||||||||||
| 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 | Adam Werner | 100.00 | 70 | 40 | 40 | 90 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 82 | 69 | 0 | 90 | 58 | 0 | 28 | 4 | 1,000,000$ | |
| 2 | Collin Delia | 100.00 | 70 | 40 | 40 | 89 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 88 | 79 | 0 | 90 | 58 | 0 | 31 | 3 | 5,000,000$ | |
| Scratches | |||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 70 | 40 | 40 | 90 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 85 | 74 | 0 | 90 | 58 | ||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jeremy Colliton | 65 | 65 | 65 | 65 | 73 | 84 | 94 | CAN | 42 | 3 | 750,000$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ethen Frank | TigersCats (HAM) | C | 10 | 2 | 2 | 4 | -3 | 0 | 0 | 6 | 18 | 17 | 7 | 21 | 11.76% | 1 | 172 | 17.30 | 0 | 1 | 1 | 3 | 35 | 0 | 0 | 0 | 0 | 15 | 1 | 0 | 36.73% | 226 | 0 | 0 | 0 | 0 | 0.46 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 |
| Team Total or Average | 10 | 2 | 2 | 4 | -3 | 0 | 0 | 6 | 18 | 17 | 7 | 21 | 11.76% | 1 | 172 | 17.30 | 0 | 1 | 1 | 3 | 35 | 0 | 0 | 0 | 0 | 15 | 1 | 0 | 36.73% | 226 | 0 | 0 | 0 | 0 | 0.46 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 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 |
| # | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Gaudette | TigersCats (HAM) | C | 28 | 1996-10-03 | USA | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | 2026-03-08 | False | False | Pro & Farm | 1,000,000$ | 546,296$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | NHL Link | |
| Adam Werner | TigersCats (HAM) | G | 28 | 1997-05-02 | SWE | No | 205 Lbs | 6 ft5 | No | No | N/A | No | No | 4 | 2026-03-08 | False | False | Pro & Farm | 1,000,000$ | 546,296$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Brayden Pachal | TigersCats (HAM) | D | 26 | 1999-08-23 | CAN | No | 202 Lbs | 6 ft2 | No | No | Trade | 2026-01-16 | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 1,500,000$ | 819,444$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link |
| Colin White | TigersCats (HAM) | RW | 28 | 1997-01-30 | USA | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | 2026-03-08 | False | False | Pro & Farm | 1,000,000$ | 546,296$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | NHL Link | |
| Collin Delia | TigersCats (HAM) | G | 31 | 1994-06-20 | USA | No | 208 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 3 | 2026-03-08 | False | False | Pro & Farm | 5,000,000$ | 2,731,481$ | 0$ | 0$ | No | 5,000,000$ | 5,000,000$ | - | - | - | - | - | - | - | 5,000,000$ | 5,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | |
| Curtis McKenzie | TigersCats (HAM) | LW | 33 | 1991-10-12 | CAN | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | 2026-03-08 | False | False | Pro & Farm | 850,000$ | 464,352$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
| Ethen Frank | TigersCats (HAM) | C | 27 | 1998-02-05 | CAN | Yes | 188 Lbs | 5 ft11 | No | No | Trade | 2026-04-27 | No | No | 3 | 2026-03-08 | False | False | Pro & Farm | 900,000$ | 491,667$ | 0$ | 0$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 900,000$ | 900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link |
| Jaycob Megna | TigersCats (HAM) | D | 32 | 1992-12-10 | USA | No | 220 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | 2026-03-08 | False | False | Pro & Farm | 900,000$ | 491,667$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
| Johnny Gaudreau | TigersCats (HAM) | LW | 32 | 1993-08-13 | USA | No | 163 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 6,750,000$ | 3,687,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Justin Brazeau | TigersCats (HAM) | RW | 27 | 1998-02-02 | CAN | Yes | 220 Lbs | 6 ft5 | No | No | Trade | 2026-01-16 | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 1,025,000$ | 559,954$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link |
| Kailer Yamamoto | TigersCats (HAM) | RW | 27 | 1998-09-29 | USA | No | 153 Lbs | 5 ft8 | No | No | Trade | 2026-01-16 | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 1,500,000$ | 819,444$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | - | - | - | - | - | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | NHL Link |
| Kevin Rooney | TigersCats (HAM) | LW | 32 | 1993-05-21 | USA | No | 190 Lbs | 6 ft2 | No | No | Trade | 2026-01-16 | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 1,025,000$ | 559,954$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link |
| Mikhail Maltsev | TigersCats (HAM) | D | 27 | 1998-03-12 | RUS | Yes | 198 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 800,000$ | 437,037$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Nick Leddy | TigersCats (HAM) | D | 34 | 1991-03-20 | USA | No | 205 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2026-03-08 | False | False | Pro & Farm | 3,800,000$ | 2,075,926$ | 0$ | 0$ | No | 3,800,000$ | 3,800,000$ | - | - | - | - | - | - | - | 3,800,000$ | 3,800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | |
| Nick Perbix | TigersCats (HAM) | D | 27 | 1998-06-15 | USA | No | 202 Lbs | 6 ft3 | No | No | N/A | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 2,100,000$ | 1,147,222$ | 0$ | 0$ | No | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | - | - | - | - | - | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | NHL Link | |
| Rem Pitlick | TigersCats (HAM) | C | 28 | 1997-04-02 | CAN | No | 186 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | 2026-03-08 | False | False | Pro & Farm | 1,000,000$ | 546,296$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | NHL Link | |
| Thomas Bordeleau | TigersCats (HAM) | C | 23 | 2002-01-03 | USA | No | 175 Lbs | 5 ft10 | No | No | Trade | 2026-01-04 | No | No | 3 | 2026-03-08 | False | False | Pro & Farm | 900,000$ | 491,667$ | 0$ | 0$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 900,000$ | 900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 17 | 28.82 | 195 Lbs | 6 ft1 | 2.76 | 1,826,471$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 35 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 35 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | |||
| 2 | 45 | 1 | 2 | 2 | |||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 55 | 1 | 2 | 2 | |||
| 2 | 45 | 1 | 2 | 2 | |||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | ||
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | 55 | 1 | 2 | 2 | |||
| 2 | 45 | 1 | 2 | 2 | 45 | 1 | 2 | 2 | |||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | ||
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 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 | RI |
| 1 | Barracudas | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 11 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 5 | 0.833 | 13 | 24 | 37 | 0 | 0 | 52 | 57 | 47 | 4 | 119 | 496 | 544 | 513 | 14 | 124 | 37 | 31 | 96 | 15 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 2 | Bayou | 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 | 52 | 57 | 47 | 4 | 42 | 496 | 544 | 513 | 14 | 42 | 6 | 25 | 25 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 3 | Chiwawa | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 52 | 57 | 47 | 4 | 32 | 496 | 544 | 513 | 14 | 39 | 12 | 10 | 27 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 4 | CoolFm | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 1 | 52 | 57 | 47 | 4 | 44 | 496 | 544 | 513 | 14 | 22 | 7 | 16 | 26 | 7 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 5 | Farmers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 52 | 57 | 47 | 4 | 104 | 496 | 544 | 513 | 14 | 66 | 17 | 20 | 68 | 13 | 2 | 15.38% | 9 | 5 | 44.44% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 6 | Hunters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 52 | 57 | 47 | 4 | 39 | 496 | 544 | 513 | 14 | 36 | 5 | 12 | 36 | 8 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 7 | Husky | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 52 | 57 | 47 | 4 | 45 | 496 | 544 | 513 | 14 | 30 | 9 | 8 | 28 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 8 | Igloos | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 52 | 57 | 47 | 4 | 37 | 496 | 544 | 513 | 14 | 41 | 14 | 12 | 34 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 9 | Marlies | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 5 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 3 | 0.750 | 8 | 16 | 24 | 0 | 0 | 52 | 57 | 47 | 4 | 78 | 496 | 544 | 513 | 14 | 61 | 10 | 24 | 61 | 10 | 3 | 30.00% | 12 | 1 | 91.67% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 10 | Marmots | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 52 | 57 | 47 | 4 | 33 | 496 | 544 | 513 | 14 | 24 | 5 | 8 | 11 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 11 | Outlaws | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 52 | 57 | 47 | 4 | 31 | 496 | 544 | 513 | 14 | 37 | 14 | 18 | 32 | 6 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 12 | Predateurs | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 0.667 | 11 | 22 | 33 | 0 | 0 | 52 | 57 | 47 | 4 | 114 | 496 | 544 | 513 | 14 | 87 | 27 | 52 | 64 | 13 | 2 | 15.38% | 14 | 3 | 78.57% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 13 | Raptors | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 2 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 52 | 57 | 47 | 4 | 92 | 496 | 544 | 513 | 14 | 53 | 16 | 22 | 55 | 7 | 1 | 14.29% | 11 | 1 | 90.91% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 14 | Rockets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 52 | 57 | 47 | 4 | 29 | 496 | 544 | 513 | 14 | 44 | 16 | 10 | 29 | 3 | 2 | 66.67% | 5 | 1 | 80.00% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 15 | Sags | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 52 | 57 | 47 | 4 | 40 | 496 | 544 | 513 | 14 | 15 | 9 | 17 | 21 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 16 | Scorpions | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 52 | 57 | 47 | 4 | 75 | 496 | 544 | 513 | 14 | 42 | 11 | 29 | 45 | 9 | 2 | 22.22% | 12 | 1 | 91.67% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 17 | Snowbirds | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 52 | 57 | 47 | 4 | 76 | 496 | 544 | 513 | 14 | 52 | 31 | 30 | 51 | 10 | 2 | 20.00% | 12 | 2 | 83.33% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 18 | Supreme | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 21 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 13 | -1 | 2 | 0.200 | 15 | 28 | 43 | 0 | 0 | 52 | 57 | 47 | 4 | 230 | 496 | 544 | 513 | 14 | 169 | 56 | 47 | 110 | 39 | 8 | 20.51% | 20 | 3 | 85.00% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 19 | Thugs | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 14 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 14 | 3 | 4 | 0.667 | 17 | 30 | 47 | 0 | 0 | 52 | 57 | 47 | 4 | 120 | 496 | 544 | 513 | 14 | 136 | 46 | 46 | 83 | 11 | 2 | 18.18% | 20 | 4 | 80.00% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 20 | Twins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 52 | 57 | 47 | 4 | 34 | 496 | 544 | 513 | 14 | 40 | 13 | 18 | 37 | 3 | 0 | 0.00% | 9 | 0 | 100.00% | 1 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 21 | Vandals | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 52 | 57 | 47 | 4 | 74 | 496 | 544 | 513 | 14 | 32 | 16 | 25 | 42 | 7 | 2 | 28.57% | 6 | 1 | 83.33% | 1 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| 22 | Wolves | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 52 | 57 | 47 | 4 | 73 | 496 | 544 | 513 | 14 | 67 | 20 | 28 | 45 | 10 | 4 | 40.00% | 13 | 2 | 84.62% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | |
| Total | 39 | 23 | 11 | 0 | 1 | 2 | 2 | 0 | 159 | 115 | 44 | 20 | 13 | 4 | 0 | 0 | 2 | 1 | 0 | 75 | 49 | 26 | 19 | 10 | 7 | 0 | 1 | 0 | 1 | 0 | 84 | 66 | 18 | 54 | 0.692 | 159 | 299 | 458 | 0 | 1 | 52 | 57 | 47 | 4 | 1561 | 496 | 544 | 513 | 14 | 1259 | 397 | 508 | 1026 | 201 | 33 | 16.42% | 211 | 30 | 85.78% | 2 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | ||
| _Since Last GM Reset | 39 | 23 | 11 | 0 | 1 | 2 | 2 | 0 | 159 | 115 | 44 | 20 | 13 | 4 | 0 | 0 | 2 | 1 | 0 | 75 | 49 | 26 | 19 | 10 | 7 | 0 | 1 | 0 | 1 | 0 | 84 | 66 | 18 | 54 | 0.692 | 159 | 299 | 458 | 0 | 1 | 52 | 57 | 47 | 4 | 1561 | 496 | 544 | 513 | 14 | 1259 | 397 | 508 | 1026 | 201 | 33 | 16.42% | 211 | 30 | 85.78% | 2 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | ||
| _Vs Conference | 10 | 6 | 2 | 0 | 0 | 1 | 1 | 0 | 41 | 25 | 16 | 6 | 4 | 1 | 0 | 0 | 1 | 0 | 0 | 26 | 15 | 11 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 15 | 10 | 5 | 15 | 0.750 | 41 | 79 | 120 | 0 | 1 | 52 | 57 | 47 | 4 | 409 | 496 | 544 | 513 | 14 | 324 | 83 | 110 | 293 | 56 | 9 | 16.07% | 54 | 11 | 79.63% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | ||
| _Vs Division | 6 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 23 | 17 | 6 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 9 | 2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 7 | 0.583 | 23 | 45 | 68 | 0 | 0 | 52 | 57 | 47 | 4 | 244 | 496 | 544 | 513 | 14 | 195 | 48 | 62 | 169 | 30 | 7 | 23.33% | 30 | 8 | 73.33% | 0 | 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% | 962 | 691 | 951 | 264 | 439 | 219 | ||
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 39 | 54 | L1 | 159 | 299 | 458 | 1561 | 1259 | 397 | 508 | 1026 | 0 | 1 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 39 | 23 | 11 | 1 | 2 | 2 | 0 | 159 | 115 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 20 | 13 | 4 | 0 | 2 | 1 | 0 | 75 | 49 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 19 | 10 | 7 | 1 | 0 | 1 | 0 | 84 | 66 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 5 | 4 | 0 | 1 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 201 | 33 | 16.42% | 211 | 30 | 85.78% | 2 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 496 | 544 | 513 | 14 | 52 | 57 | 47 | 4 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 799 | 1558 | 51.28% | 721 | 1369 | 52.67% | 317 | 622 | 50.96% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 962 | 691 | 951 | 264 | 439 | 219 |
| 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 | 40 | 20 |
| Attendance | 39,766 | 19,528 |
| Attendance PCT | 99.42% | 97.64% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 21 | 2965 - 98.82% | 118,872$ | 2,377,440$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
| 1,688,776$ | 3,105,000$ | 3,105,000$ | 750,000$0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 0$ | 1,348,501$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 2,496,312$ | 59 | 35,694$ | 2,105,946$ |
| # | 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 |
|---|