| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Kevin Labanc (R) | X | X | 100.00 | 66 | 63 | 91 | 87 | 77 | 79 | 58 | 74 | 50 | 73 | 74 | 74 | 65 | 68 | 72 | 0 | 78 | 70 | 0 | |||
| 2 | Anton Slepyshev (R) | X | 100.00 | 87 | 72 | 97 | 80 | 88 | 74 | 42 | 70 | 50 | 69 | 70 | 76 | 53 | 68 | 71 | 0 | 70 | 69 | 0 | ||||
| 3 | Chris Wagner (R) | X | 100.00 | 93 | 67 | 97 | 83 | 86 | 72 | 44 | 68 | 55 | 62 | 73 | 81 | 55 | 70 | 72 | 0 | 27 | 69 | 0 | ||||
| 4 | Tyler Motte (R) | X | X | 100.00 | 75 | 65 | 91 | 84 | 78 | 74 | 35 | 69 | 50 | 66 | 72 | 84 | 54 | 66 | 69 | 0 | 60 | 69 | 0 | |||
| 5 | Alex Tuch (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 3 | 5 | 0 | ||||
| 6 | Danton Heinen (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 4 | 5 | 0 | ||||
| 7 | Jesper Bratt (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 10 | 5 | 0 | ||||
| 8 | Christian Fischer (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 3 | 5 | 0 | ||||
| 9 | John Hayden (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 3 | 5 | 0 | ||||
| 10 | Kevin Connauton (R) | X | 100.00 | 91 | 68 | 79 | 84 | 85 | 78 | 35 | 62 | 50 | 64 | 63 | 72 | 50 | 70 | 72 | 0 | 56 | 69 | 0 | ||||
| 11 | Markus Nutivaara (R) | X | 100.00 | 71 | 64 | 98 | 85 | 78 | 78 | 69 | 65 | 50 | 67 | 66 | 68 | 50 | 68 | 67 | 0 | 78 | 69 | 0 | ||||
| 12 | Brandon Montour (R) | X | 100.00 | 74 | 66 | 89 | 85 | 79 | 83 | 35 | 69 | 50 | 70 | 70 | 69 | 61 | 68 | 69 | 0 | 78 | 68 | 0 | ||||
| 13 | Joakim Ryan (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 3 | 5 | 0 | ||||
| 14 | Neal Pionk (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 3 | 5 | 0 | ||||
| Scratches | ||||||||||||||||||||||||||
| 1 | Curtis McKenzie (R) | X | 100.00 | 90 | 71 | 72 | 82 | 87 | 73 | 55 | 71 | 50 | 70 | 71 | 82 | 53 | 68 | 72 | 0 | 78 | 71 | 0 | ||||
| 2 | Matt Beleskey | X | 100.00 | 91 | 79 | 80 | 80 | 88 | 78 | 52 | 67 | 53 | 67 | 67 | 72 | 50 | 78 | 78 | 0 | 63 | 69 | 0 | ||||
| 3 | Garnet Hathaway (R) | X | 100.00 | 92 | 73 | 64 | 79 | 89 | 72 | 35 | 67 | 62 | 69 | 65 | 77 | 50 | 67 | 68 | 0 | 66 | 67 | 0 | ||||
| 4 | Phil Varone (R) | X | 100.00 | 69 | 62 | 94 | 81 | 79 | 70 | 35 | 61 | 65 | 60 | 62 | 70 | 50 | 68 | 66 | 0 | 32 | 63 | 0 | ||||
| 5 | Zach Bogosian | X | 100.00 | 79 | 76 | 83 | 84 | 89 | 86 | 63 | 67 | 50 | 70 | 67 | 75 | 50 | 77 | 82 | 0 | 19 | 73 | 0 | ||||
| 6 | Ben Hutton (R) | X | 100.00 | 72 | 68 | 90 | 87 | 84 | 86 | 80 | 70 | 50 | 72 | 70 | 67 | 51 | 69 | 72 | 0 | 25 | 72 | 0 | ||||
| 7 | Tim Heed (R) | X | 100.00 | 50 | 65 | 80 | 86 | 77 | 82 | 35 | 61 | 50 | 61 | 64 | 83 | 50 | 63 | 63 | 0 | 28 | 67 | 0 | ||||
| TEAM AVERAGE | 100.00 | 53 | 46 | 58 | 56 | 56 | 52 | 32 | 45 | 35 | 45 | 46 | 50 | 36 | 46 | 48 | 0 | 37 | 48 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Scratches | ||||||||||||||||||||
| 1 | Ondrej Pavelec | 100.00 | 70 | 60 | 72 | 90 | 69 | 67 | 69 | 68 | 70 | 67 | 68 | 78 | 76 | 0 | 57 | 70 | 0 | |
| TEAM AVERAGE | 100.00 | 70 | 60 | 72 | 90 | 69 | 67 | 69 | 68 | 70 | 67 | 68 | 78 | 76 | 0 | 57 | 70 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Status | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Tuch | Cyclone (STO) | RW | 22 | 1996-05-10 06:49:37 | Yes | 222 Lbs | 6 ft4 | No | No | No | 2 | ELC | Pro & Farm | 1,350,000$ | 0$ | 0$ | No | |
| Anton Slepyshev | Cyclone (STO) | LW | 23 | 1995-03-23 03:26:19 | Yes | 221 Lbs | 6 ft2 | No | No | No | 1 | ELC | Pro & Farm | 1,525,000$ | 0$ | 0$ | No | |
| Ben Hutton | Cyclone (STO) | D | 24 | 1994-03-22 21:26:19 | Yes | 207 Lbs | 6 ft2 | No | No | No | 0 | ELC | Pro & Farm | 0$ | 0$ | No | ||
| Brandon Montour | Cyclone (STO) | D | 23 | 1995-03-23 03:26:19 | Yes | 192 Lbs | 6 ft0 | No | No | No | 1 | ELC | Pro & Farm | 925,000$ | 0$ | 0$ | No | |
| Chris Wagner | Cyclone (STO) | C | 26 | 1992-03-22 09:26:19 | Yes | 198 Lbs | 6 ft0 | No | No | No | 1 | ELC | Pro & Farm | 637,500$ | 0$ | 0$ | No | |
| Christian Fischer | Cyclone (STO) | RW | 21 | 1997-04-15 07:25:31 | Yes | 214 Lbs | 6 ft2 | No | No | No | 3 | ELC | Pro & Farm | 1,137,500$ | 0$ | 0$ | No | |
| Curtis McKenzie | Cyclone (STO) | LW | 26 | 1992-03-22 09:26:19 | Yes | 205 Lbs | 6 ft2 | Yes | No | No | 0 | ELC | Pro & Farm | 0$ | 0$ | No | ||
| Danton Heinen | Cyclone (STO) | C | 23 | 1995-07-05 05:53:09 | Yes | 188 Lbs | 6 ft1 | No | No | No | 2 | ELC | Pro & Farm | 995,833$ | 0$ | 0$ | No | |
| Garnet Hathaway | Cyclone (STO) | RW | 27 | 1991-11-23 08:30:22 | Yes | 208 Lbs | 6 ft2 | Yes | No | No | 0 | RFA | Pro & Farm | 0$ | 0$ | No | ||
| Jesper Bratt | Cyclone (STO) | LW | 20 | 1998-07-30 06:29:54 | Yes | 175 Lbs | 5 ft10 | No | No | No | 3 | ELC | Pro & Farm | 825,000$ | 0$ | 0$ | No | |
| Joakim Ryan | Cyclone (STO) | D | 25 | 1993-06-17 07:31:17 | Yes | 185 Lbs | 5 ft11 | No | No | No | 2 | ELC | Pro & Farm | 650,000$ | 0$ | 0$ | No | |
| John Hayden | Cyclone (STO) | RW | 24 | 1995-02-14 07:38:07 | Yes | 215 Lbs | 6 ft3 | No | No | No | 1 | ELC | Pro & Farm | 925,000$ | 0$ | 0$ | No | |
| Kevin Connauton | Cyclone (STO) | D | 27 | 1991-03-23 03:26:19 | Yes | 200 Lbs | 6 ft2 | No | No | No | 1 | RFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | |
| Kevin Labanc | Cyclone (STO) | LW/RW | 22 | 1996-03-22 09:26:19 | Yes | 185 Lbs | 5 ft11 | No | No | No | 2 | ELC | Pro & Farm | 717,500$ | 0$ | 0$ | No | |
| Markus Nutivaara | Cyclone (STO) | D | 23 | 1995-03-23 03:26:19 | Yes | 191 Lbs | 6 ft1 | No | No | No | 1 | ELC | Pro & Farm | 925,000$ | 0$ | 0$ | No | |
| Matt Beleskey | Cyclone (STO) | LW | 29 | 1989-03-22 15:26:19 | No | 204 Lbs | 6 ft0 | No | No | No | 2 | UFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | |
| Neal Pionk | Cyclone (STO) | D | 23 | 1995-07-29 07:51:12 | Yes | 186 Lbs | 6 ft0 | No | No | No | 2 | ELC | Pro & Farm | 1,775,000$ | 0$ | 0$ | No | |
| Ondrej Pavelec | Cyclone (STO) | G | 31 | 1987-08-31 09:26:20 | No | 212 Lbs | 6 ft3 | Yes | No | No | 0 | UFA | Pro & Farm | 0$ | 0$ | No | ||
| Phil Varone | Cyclone (STO) | C | 28 | 1990-12-04 03:26:19 | Yes | 193 Lbs | 5 ft10 | No | No | No | 0 | UFA | Pro & Farm | 0$ | 0$ | No | ||
| Tim Heed | Cyclone (STO) | D | 28 | 1991-01-27 08:56:38 | Yes | 185 Lbs | 6 ft0 | Yes | No | No | 0 | UFA | Pro & Farm | 0$ | 0$ | No | ||
| Tyler Motte | Cyclone (STO) | LW/RW | 22 | 1996-03-22 09:26:19 | Yes | 191 Lbs | 5 ft10 | No | No | No | 2 | ELC | Pro & Farm | 925,000$ | 0$ | 0$ | No | |
| Zach Bogosian | Cyclone (STO) | D | 27 | 1991-03-23 03:26:19 | No | 215 Lbs | 6 ft3 | Yes | No | No | 3 | RFA | Pro & Farm | 2,000,000$ | 0$ | 0$ | No |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 22 | 24.73 | 200 Lbs | 6 ft1 | 1.32 | 786,970$ |
| 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 | Tyler Motte | 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 | Kevin Connauton | Markus Nutivaara | 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 | Kevin Connauton | Markus Nutivaara | 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 | Kevin Connauton | Markus Nutivaara | 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 | Kevin Connauton | Markus Nutivaara | 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 | Kevin Connauton | Markus Nutivaara | 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 |
| , Tyler Motte, | , Tyler Motte | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , Kevin Connauton | , Kevin Connauton | |
| 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 |
| 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 | |
| Arena 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 | Arena Capacity | Team Popularity |
| 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 0$ | 1,731,333$ | 1,065,833$ | 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 |
| Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2017 | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 51 | 57 | -6 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 26 | 27 | -1 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 25 | 30 | -5 | 8 | 51 | 94 | 145 | 0 | 0 | 9 | 23 | 18 | 1 | 306 | 101 | 90 | 113 | 2 | 309 | 86 | 69 | 133 | 31 | 12 | 38.71% | 27 | 17 | 37.04% | 2 | 60 | 128 | 46.88% | 70 | 135 | 51.85% | 102 | 216 | 47.22% | 199 | 118 | 188 | 83 | 155 | 76 |
| Total Playoff | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 51 | 57 | -6 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 26 | 27 | -1 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 25 | 30 | -5 | 8 | 51 | 94 | 145 | 0 | 0 | 9 | 23 | 18 | 1 | 306 | 101 | 90 | 113 | 2 | 309 | 86 | 69 | 133 | 31 | 12 | 38.71% | 27 | 17 | 37.04% | 2 | 60 | 128 | 46.88% | 70 | 135 | 51.85% | 102 | 216 | 47.22% | 199 | 118 | 188 | 83 | 155 | 76 |