 | Soldiers |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Louis-Philippe Fraser | Morale : 50 | Team Overall : N/A |
| 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 | Chris Wagner | X | X | X | 100.00 | 94 | 76 | 80 | 77 | 73 | 62 | 89 | 59 | 55 | 56 | 59 | 82 | 63 | 66 | 67 | 67 | 50 | 0 | 0 | 29 | 2 | 1,600,000$ | ||
| 2 | Dmitry Sokolov | X | X | 100.00 | 83 | 78 | 93 | 62 | 78 | 66 | 68 | 58 | 50 | 47 | 65 | 67 | 62 | 44 | 44 | 64 | 50 | 0 | 0 | 22 | 2 | 830,000$ | |||
| 3 | Josh Anderson | X | 100.00 | 91 | 70 | 81 | 80 | 83 | 73 | 78 | 69 | 38 | 61 | 56 | 73 | 25 | 64 | 65 | 67 | 50 | 0 | 0 | 26 | 1 | 678,333$ | ||||
| 4 | Yakov Trenin (R) | X | 100.00 | 87 | 77 | 87 | 63 | 76 | 54 | 81 | 61 | 56 | 65 | 59 | 66 | 25 | 45 | 45 | 64 | 50 | 0 | 0 | 23 | 3 | 863,333$ | ||||
| 5 | Justin Kirkland | X | 100.00 | 72 | 70 | 77 | 61 | 70 | 75 | 80 | 57 | 50 | 61 | 48 | 62 | 46 | 45 | 45 | 58 | 50 | 0 | 0 | 23 | 2 | 925,000$ | ||||
| 6 | Kieffer Bellows | X | 100.00 | 72 | 71 | 74 | 69 | 71 | 77 | 82 | 59 | 50 | 47 | 67 | 62 | 64 | 44 | 44 | 64 | 50 | 0 | 0 | 22 | 2 | 1,106,666$ | ||||
| 7 | Klim Kostin | X | X | X | 100.00 | 72 | 74 | 67 | 70 | 74 | 73 | 76 | 62 | 78 | 58 | 62 | 63 | 59 | 45 | 45 | 64 | 50 | 0 | 0 | 21 | 2 | 1,075,833$ | ||
| 8 | Joel Kellman (R) | X | 100.00 | 73 | 43 | 95 | 77 | 69 | 59 | 68 | 58 | 74 | 61 | 59 | 74 | 25 | 46 | 46 | 65 | 50 | 0 | 0 | 26 | 2 | 937,500$ | ||||
| 9 | Joseph Blandisi | X | X | 100.00 | 77 | 43 | 85 | 73 | 66 | 51 | 74 | 56 | 53 | 62 | 59 | 71 | 25 | 58 | 58 | 65 | 50 | 0 | 0 | 25 | 1 | 680,000$ | |||
| 10 | Tanner Kero | X | 100.00 | 74 | 68 | 87 | 62 | 68 | 71 | 74 | 63 | 79 | 64 | 56 | 66 | 53 | 51 | 51 | 63 | 50 | 0 | 0 | 27 | 1 | 750,000$ | ||||
| 11 | Joseph Veleno (R) | X | 100.00 | 76 | 71 | 89 | 72 | 71 | 70 | 74 | 56 | 70 | 50 | 58 | 63 | 55 | 44 | 44 | 61 | 50 | 0 | 0 | 20 | 3 | 1,243,750$ | ||||
| 12 | Eetu Tuulola (R) | X | 100.00 | 83 | 82 | 86 | 65 | 82 | 69 | 72 | 58 | 50 | 53 | 58 | 67 | 55 | 44 | 44 | 62 | 50 | 0 | 0 | 22 | 3 | 925,000$ | ||||
| 13 | Eeli Tolvanen (R) | X | X | 100.00 | 75 | 68 | 90 | 67 | 68 | 76 | 80 | 60 | 50 | 52 | 63 | 64 | 60 | 44 | 44 | 65 | 50 | 0 | 0 | 21 | 3 | 3,115,000$ | |||
| 14 | Anthony Bitetto | X | 100.00 | 93 | 70 | 82 | 70 | 78 | 66 | 62 | 57 | 25 | 52 | 47 | 76 | 75 | 64 | 65 | 62 | 55 | 0 | 0 | 29 | 1 | 621,500$ | ||||
| 15 | Jake Bean | X | 100.00 | 73 | 69 | 83 | 67 | 69 | 78 | 83 | 62 | 25 | 59 | 51 | 63 | 48 | 44 | 44 | 62 | 50 | 0 | 0 | 22 | 2 | 1,363,333$ | ||||
| 16 | Maxime Lajoie (R) | X | 100.00 | 73 | 68 | 85 | 77 | 68 | 69 | 74 | 51 | 25 | 44 | 41 | 62 | 39 | 51 | 51 | 55 | 50 | 0 | 0 | 22 | 3 | 780,000$ | ||||
| 17 | Mario Ferraro (R) | X | 100.00 | 85 | 44 | 85 | 80 | 67 | 68 | 68 | 61 | 25 | 51 | 48 | 71 | 25 | 51 | 51 | 61 | 50 | 0 | 0 | 21 | 3 | 1,137,500$ | ||||
| 18 | Xavier Ouellet | X | 100.00 | 85 | 45 | 89 | 74 | 69 | 63 | 76 | 57 | 25 | 52 | 47 | 68 | 25 | 61 | 62 | 60 | 50 | 0 | 0 | 26 | 1 | 1,250,000$ | ||||
| 19 | Erik Gustafsson | X | 100.00 | 78 | 53 | 87 | 83 | 66 | 80 | 90 | 80 | 25 | 66 | 50 | 61 | 75 | 64 | 65 | 66 | 50 | 0 | 0 | 28 | 1 | 650,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Adam Mascherin | X | 100.00 | 75 | 73 | 80 | 61 | 73 | 66 | 70 | 53 | 50 | 51 | 51 | 62 | 48 | 44 | 44 | 57 | 50 | 0 | 0 | 22 | 2 | 880,000$ | ||||
| 2 | Ty Ronning | X | 100.00 | 69 | 61 | 89 | 62 | 61 | 55 | 57 | 47 | 50 | 44 | 45 | 57 | 43 | 44 | 44 | 52 | 50 | 0 | 0 | 22 | 2 | 750,833$ | ||||
| 3 | Jack Dougherty | X | 100.00 | 73 | 69 | 83 | 63 | 69 | 69 | 75 | 48 | 25 | 39 | 41 | 61 | 39 | 49 | 49 | 53 | 50 | 0 | 0 | 24 | 2 | 902,000$ | ||||
| 4 | Kale Clague | X | 100.00 | 71 | 65 | 84 | 71 | 65 | 67 | 70 | 57 | 25 | 48 | 51 | 61 | 48 | 44 | 44 | 59 | 50 | 0 | 0 | 22 | 2 | 894,166$ | ||||
| 5 | Teemu Kivihalme (R) | X | 100.00 | 73 | 67 | 86 | 66 | 67 | 69 | 75 | 50 | 25 | 43 | 41 | 60 | 39 | 44 | 44 | 53 | 50 | 0 | 0 | 25 | 3 | 925,000$ | ||||
| TEAM AVERAGE | 100.00 | 78 | 66 | 84 | 70 | 71 | 68 | 75 | 58 | 45 | 54 | 53 | 66 | 47 | 50 | 50 | 61 | 50 | 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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Hunter Miska | 100.00 | 63 | 56 | 70 | 63 | 67 | 67 | 58 | 67 | 66 | 64 | 30 | 44 | 44 | 63 | 36 | 0 | 0 | |
| 2 | Calvin Petersen | 100.00 | 59 | 77 | 96 | 70 | 56 | 64 | 50 | 61 | 57 | 56 | 30 | 44 | 44 | 59 | 48 | 0 | 0 | |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 61 | 67 | 83 | 67 | 62 | 66 | 54 | 64 | 62 | 60 | 30 | 44 | 44 | 61 | 42 | 0 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Hynes | 83 | 80 | 80 | 81 | 66 | 62 | 81 | USA | 47 | 3 | 1,356,000$ |
| 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 | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Type | Current Salary | Salary Remaining | Salary Average | Salary Ave 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 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Mascherin | Soldiers (VGK) | LW | 22 | 1998-06-05 | No | 206 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 880,000$ | 450,000$ | 0$ | 0$ | No | 880,000$ | Link | ||||||||||
| Anthony Bitetto | Soldiers (VGK) | D | 29 | 1990-07-14 | No | 210 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 621,500$ | 621,500$ | 0$ | 0$ | No | Link | |||||||||||
| Calvin Petersen | Soldiers (VGK) | G | 25 | 1994-10-19 | No | 185 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 1,108,333$ | 858,333$ | 0$ | 0$ | No | 858,333$ | 858,333$ | Link | |||||||||
| Chris Wagner | Soldiers (VGK) | C/LW/RW | 29 | 1991-05-27 | No | 198 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,600,000$ | 1,350,000$ | 0$ | 0$ | No | 1,350,000$ | Link | ||||||||||
| Dmitry Sokolov | Soldiers (VGK) | LW/RW | 22 | 1998-04-13 | No | 221 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 830,000$ | 450,000$ | 0$ | 0$ | No | 830,000$ | Link | ||||||||||
| Eeli Tolvanen | Soldiers (VGK) | LW/RW | 21 | 1999-04-22 | Yes | 191 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 3,115,000$ | 3,115,000$ | 0$ | 0$ | No | 3,115,000$ | 3,115,000$ | ||||||||||
| Eetu Tuulola | Soldiers (VGK) | RW | 22 | 1998-03-17 | Yes | 225 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||||
| Erik Gustafsson | Soldiers (VGK) | D | 28 | 1992-03-14 | No | 176 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | Link | |||||||||||
| Hunter Miska | Soldiers (VGK) | G | 24 | 1995-07-06 | No | 170 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | Link | |||||||||||
| Jack Dougherty | Soldiers (VGK) | D | 24 | 1996-05-24 | No | 186 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 902,000$ | 450,000$ | 0$ | 0$ | No | 902,000$ | Link | ||||||||||
| Jake Bean | Soldiers (VGK) | D | 22 | 1998-06-09 | No | 187 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 1,363,333$ | 450,000$ | 0$ | 0$ | No | 1,363,333$ | Link | ||||||||||
| Joel Kellman | Soldiers (VGK) | C | 26 | 1994-05-25 | Yes | 192 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 937,500$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||||
| Joseph Blandisi | Soldiers (VGK) | C/LW | 25 | 1994-07-18 | No | 182 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 680,000$ | 680,000$ | 0$ | 0$ | No | Link | |||||||||||
| Joseph Veleno | Soldiers (VGK) | C | 20 | 2000-01-13 | Yes | 194 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 1,243,750$ | 1,243,750$ | 0$ | 0$ | No | 1,243,750$ | 1,243,750$ | ||||||||||
| Josh Anderson | Soldiers (VGK) | RW | 26 | 1994-05-06 | No | 221 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 678,333$ | 678,333$ | 0$ | 0$ | No | Link | |||||||||||
| Justin Kirkland | Soldiers (VGK) | LW | 23 | 1996-08-02 | No | 183 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 925,000$ | 450,000$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||||
| Kale Clague | Soldiers (VGK) | D | 22 | 1998-06-05 | No | 177 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 894,166$ | 450,000$ | 0$ | 0$ | No | 894,166$ | Link | ||||||||||
| Kieffer Bellows | Soldiers (VGK) | LW | 22 | 1998-06-10 | No | 196 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,106,666$ | 450,000$ | 0$ | 0$ | No | 1,106,666$ | Link | ||||||||||
| Klim Kostin | Soldiers (VGK) | C/LW/RW | 21 | 1999-05-05 | No | 196 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 1,075,833$ | 450,000$ | 0$ | 0$ | No | 1,075,833$ | Link | ||||||||||
| Mario Ferraro | Soldiers (VGK) | D | 21 | 1998-09-17 | Yes | 185 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 1,137,500$ | 1,137,500$ | 0$ | 0$ | No | 1,137,500$ | 1,137,500$ | ||||||||||
| Maxime Lajoie | Soldiers (VGK) | D | 22 | 1997-11-05 | Yes | 183 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 780,000$ | 780,000$ | 0$ | 0$ | No | 780,000$ | 780,000$ | ||||||||||
| Tanner Kero | Soldiers (VGK) | C | 27 | 1992-07-24 | No | 185 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Link | |||||||||||
| Teemu Kivihalme | Soldiers (VGK) | D | 25 | 1995-06-14 | Yes | 181 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||||
| Ty Ronning | Soldiers (VGK) | RW | 22 | 1997-10-20 | No | 172 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 750,833$ | 450,000$ | 0$ | 0$ | No | 750,833$ | Link | ||||||||||
| Xavier Ouellet | Soldiers (VGK) | D | 26 | 1993-07-28 | No | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,250,000$ | 1,250,000$ | 0$ | 0$ | No | Link | |||||||||||
| Yakov Trenin | Soldiers (VGK) | C | 23 | 1997-01-13 | Yes | 201 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 863,333$ | 863,333$ | 0$ | 0$ | No | 863,333$ | 863,333$ |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 26 | 23.81 | 192 Lbs | 6 ft0 | 2.04 | 1,038,195$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Joseph Blandisi | Chris Wagner | Josh Anderson | 35 | 1 | 2 | 2 |
| 2 | Klim Kostin | Joel Kellman | Eeli Tolvanen | 30 | 1 | 2 | 2 |
| 3 | Kieffer Bellows | Yakov Trenin | Eetu Tuulola | 25 | 1 | 2 | 2 |
| 4 | Dmitry Sokolov | Tanner Kero | Josh Anderson | 10 | 1 | 2 | 2 |
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Erik Gustafsson | Anthony Bitetto | 35 | 1 | 2 | 2 | |
| 2 | Mario Ferraro | Xavier Ouellet | 30 | 1 | 2 | 2 | |
| 3 | Jake Bean | Maxime Lajoie | 25 | 1 | 2 | 2 | |
| 4 | Erik Gustafsson | Anthony Bitetto | 10 | 1 | 2 | 2 | |
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Joseph Blandisi | Chris Wagner | Josh Anderson | 60 | 1 | 2 | 2 |
| 2 | Klim Kostin | Joel Kellman | Eeli Tolvanen | 40 | 1 | 2 | 2 |
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Erik Gustafsson | Anthony Bitetto | 60 | 1 | 2 | 2 | |
| 2 | Mario Ferraro | Xavier Ouellet | 40 | 1 | 2 | 2 | |
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Josh Anderson | Chris Wagner | 60 | 1 | 2 | 2 |
| 2 | Joseph Blandisi | Joel Kellman | 40 | 1 | 2 | 2 |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Erik Gustafsson | Anthony Bitetto | 60 | 1 | 2 | 2 |
| 2 | Mario Ferraro | Xavier Ouellet | 40 | 1 | 2 | 2 |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Josh Anderson | 60 | 1 | 2 | 2 | Erik Gustafsson | Anthony Bitetto | 60 | 1 | 2 | 2 |
| 2 | Chris Wagner | 40 | 1 | 2 | 2 | Mario Ferraro | Xavier Ouellet | 40 | 1 | 2 | 2 |
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Josh Anderson | Chris Wagner | 60 | 1 | 2 | 2 |
| 2 | Joseph Blandisi | Joel Kellman | 40 | 1 | 2 | 2 |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Erik Gustafsson | Anthony Bitetto | 60 | 1 | 2 | 2 |
| 2 | Mario Ferraro | Xavier Ouellet | 40 | 1 | 2 | 2 |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Joseph Blandisi | Chris Wagner | Josh Anderson | Erik Gustafsson | Anthony Bitetto |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Joseph Blandisi | Chris Wagner | Josh Anderson | Erik Gustafsson | Anthony Bitetto |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Joseph Veleno, Justin Kirkland, Yakov Trenin | Joseph Veleno, Justin Kirkland | Yakov Trenin |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Jake Bean, Maxime Lajoie, Mario Ferraro | Jake Bean | Maxime Lajoie, Mario Ferraro |
| Penalty Shots |
|---|
| Josh Anderson, Chris Wagner, Joseph Blandisi, Joel Kellman, Yakov Trenin |
| Goalie |
|---|
| #1 : Hunter Miska, #2 : Calvin Petersen |
| 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
| 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 | 35 | 15 |
| Attendance | 0.00% | 0.00% |
| Attendance PCT | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity | 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 0$ | 2,699,307$ | 2,180,274$ | 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$ |
| 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 |
| Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2020 | 82 | 35 | 36 | 0 | 1 | 1 | 7 | 2 | 206 | 184 | 22 | 41 | 16 | 18 | 0 | 1 | 0 | 5 | 1 | 114 | 92 | 22 | 41 | 19 | 18 | 0 | 0 | 1 | 2 | 1 | 92 | 92 | 0 | 89 | 206 | 358 | 564 | 1 | 13 | 71 | 62 | 65 | 17 | 1534 | 520 | 510 | 488 | 49 | 1514 | 445 | 1300 | 1575 | 454 | 50 | 11.01% | 542 | 70 | 87.08% | 4 | 1181 | 2229 | 52.98% | 1135 | 2233 | 50.83% | 583 | 1146 | 50.87% | 2085 | 1441 | 1862 | 609 | 1018 | 519 |
| Total Regular Season | 82 | 35 | 36 | 0 | 1 | 1 | 7 | 2 | 206 | 184 | 22 | 41 | 16 | 18 | 0 | 1 | 0 | 5 | 1 | 114 | 92 | 22 | 41 | 19 | 18 | 0 | 0 | 1 | 2 | 1 | 92 | 92 | 0 | 89 | 206 | 358 | 564 | 1 | 13 | 71 | 62 | 65 | 17 | 1534 | 520 | 510 | 488 | 49 | 1514 | 445 | 1300 | 1575 | 454 | 50 | 11.01% | 542 | 70 | 87.08% | 4 | 1181 | 2229 | 52.98% | 1135 | 2233 | 50.83% | 583 | 1146 | 50.87% | 2085 | 1441 | 1862 | 609 | 1018 | 519 |
Bruins
Crunch
Flames
Marlies
Monsters
Penguins
Phantoms
Rocket
Senators
Wolf Pack
Admirals
Condors
Griffins
IceHogs
Monarchs
Moose
Rampage
Sharks
Sound Tigers
Stars
Wolves