 | Americans |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Jay Cwik | Morale : 50 | Team Overall : 59 Next Games #12 vs Stars |
|
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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 | Sammy Blais | X | X | 100.00 | 94 | 47 | 89 | 87 | 76 | 62 | 64 | 58 | 55 | 65 | 73 | 63 | 25 | 54 | 55 | 70 | 47 | 65 | 0 | 25 | 2 | 1,356,000$ | |||
| 2 | Michael Bunting | X | X | 100.00 | 78 | 44 | 83 | 68 | 70 | 74 | 73 | 76 | 56 | 62 | 85 | 51 | 25 | 46 | 46 | 75 | 47 | 64 | 0 | 25 | 1 | 750,000$ | |||
| 3 | Lias Andersson | X | X | 100.00 | 61 | 41 | 84 | 78 | 71 | 62 | 68 | 61 | 45 | 61 | 64 | 71 | 25 | 55 | 55 | 66 | 47 | 62 | 0 | 22 | 3 | 1,268,300$ | |||
| 4 | Jake Evans | X | X | 100.00 | 82 | 44 | 82 | 62 | 67 | 61 | 84 | 58 | 81 | 66 | 57 | 78 | 25 | 50 | 51 | 65 | 47 | 62 | 0 | 25 | 1 | 906,044$ | |||
| 5 | Sven Baertschi | X | 100.00 | 74 | 69 | 87 | 62 | 69 | 61 | 61 | 63 | 50 | 59 | 58 | 69 | 55 | 64 | 65 | 62 | 47 | 61 | 0 | 28 | 2 | 1,050,000$ | ||||
| 6 | Adam Johnson | X | X | 100.00 | 71 | 64 | 87 | 62 | 64 | 59 | 58 | 65 | 80 | 59 | 67 | 63 | 64 | 45 | 45 | 65 | 47 | 60 | 0 | 27 | 1 | 750,000$ | |||
| 7 | Nicholas Caamano | X | X | 100.00 | 82 | 45 | 80 | 63 | 76 | 54 | 61 | 58 | 25 | 54 | 55 | 68 | 25 | 47 | 47 | 60 | 47 | 58 | 0 | 23 | 1 | 750,000$ | |||
| 8 | Angus Crookshank (R) | X | 100.00 | 57 | 66 | 35 | 60 | 66 | 55 | 53 | 64 | 50 | 65 | 60 | 56 | 57 | 44 | 44 | 59 | 50 | 57 | 0 | 21 | 3 | 866,212$ | ||||
| 9 | Kristian Vesalainen | X | X | 100.00 | 69 | 43 | 99 | 62 | 77 | 52 | 62 | 55 | 25 | 58 | 55 | 56 | 25 | 45 | 45 | 58 | 47 | 56 | 0 | 22 | 1 | 919,409$ | |||
| 10 | Nick Moutrey | X | 100.00 | 81 | 80 | 82 | 65 | 80 | 61 | 65 | 48 | 60 | 43 | 47 | 64 | 45 | 44 | 44 | 55 | 47 | 55 | 0 | 26 | 1 | 837,000$ | ||||
| 11 | Damien Riat (R) | X | X | 100.00 | 73 | 67 | 88 | 66 | 67 | 58 | 61 | 50 | 50 | 48 | 47 | 60 | 45 | 44 | 44 | 55 | 50 | 54 | 0 | 24 | 3 | 795,370$ | |||
| 12 | Pavel Shen | X | 100.00 | 72 | 68 | 82 | 65 | 68 | 51 | 52 | 50 | 63 | 49 | 46 | 60 | 44 | 44 | 44 | 54 | 47 | 53 | 0 | 22 | 2 | 750,000$ | ||||
| 13 | Jonathan Davidsson (R) | X | 100.00 | 75 | 67 | 94 | 70 | 67 | 32 | 30 | 44 | 50 | 38 | 44 | 60 | 42 | 44 | 44 | 50 | 47 | 50 | 0 | 24 | 2 | 750,000$ | ||||
| 14 | Dakota Mermis | X | 100.00 | 81 | 42 | 83 | 67 | 71 | 73 | 55 | 62 | 24 | 48 | 48 | 71 | 79 | 55 | 55 | 60 | 47 | 63 | 0 | 27 | 1 | 1,600,000$ | ||||
| 15 | Yannick Weber | X | 100.00 | 69 | 41 | 85 | 77 | 72 | 61 | 48 | 55 | 24 | 42 | 45 | 63 | 75 | 70 | 71 | 57 | 47 | 61 | 0 | 32 | 1 | 1,295,000$ | ||||
| 16 | Andy Welinski | X | 100.00 | 76 | 44 | 99 | 68 | 74 | 66 | 53 | 69 | 25 | 39 | 47 | 56 | 70 | 58 | 59 | 56 | 47 | 59 | 0 | 28 | 1 | 750,000$ | ||||
| 17 | Joseph Duszak | X | 100.00 | 70 | 62 | 89 | 67 | 62 | 61 | 63 | 56 | 25 | 46 | 51 | 60 | 48 | 44 | 44 | 58 | 47 | 57 | 0 | 24 | 2 | 750,000$ | ||||
| 18 | Filip Kral (R) | X | 100.00 | 76 | 66 | 99 | 59 | 66 | 52 | 55 | 41 | 25 | 28 | 39 | 59 | 37 | 44 | 44 | 49 | 50 | 53 | 0 | 21 | 3 | 943,065$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Christopher Wilkie (R) | X | 100.00 | 70 | 70 | 71 | 68 | 70 | 56 | 55 | 60 | 50 | 51 | 65 | 61 | 62 | 44 | 44 | 62 | 50 | 58 | 0 | 25 | 3 | 750,000$ | ||||
| 2 | Mark Friedman | X | 100.00 | 81 | 44 | 72 | 64 | 67 | 56 | 54 | 55 | 25 | 49 | 62 | 56 | 25 | 45 | 45 | 60 | 50 | 56 | 0 | 25 | 0 | 0$ | ||||
| TEAM AVERAGE | 100.00 | 75 | 56 | 84 | 67 | 70 | 58 | 59 | 57 | 44 | 52 | 56 | 62 | 45 | 49 | 50 | 60 | 48 | 58 | ||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Laurent Brossoit | 100.00 | 71 | 52 | 52 | 81 | 79 | 63 | 90 | 68 | 79 | 71 | 45 | 55 | 55 | 71 | 50 | 69 | 0 | |
| 2 | Michael Hutchinson | 100.00 | 67 | 53 | 66 | 80 | 70 | 66 | 72 | 76 | 71 | 71 | 30 | 59 | 60 | 68 | 50 | 68 | 0 | |
| Scratches | ||||||||||||||||||||
| 1 | Andrew Shortridge (R) | 100.00 | 66 | 49 | 61 | 78 | 70 | 65 | 72 | 75 | 71 | 71 | 30 | 44 | 44 | 67 | 47 | 65 | 0 | |
| 2 | David Rittich | 100.00 | 64 | 68 | 67 | 82 | 72 | 56 | 62 | 61 | 67 | 64 | 43 | 59 | 60 | 64 | 47 | 64 | 0 | |
| 3 | Emil Larmi (R) | 100.00 | 44 | 49 | 61 | 68 | 40 | 42 | 50 | 51 | 44 | 45 | 30 | 44 | 44 | 46 | 50 | 48 | 0 | |
| TEAM AVERAGE | 100.00 | 62 | 54 | 61 | 78 | 66 | 58 | 69 | 66 | 66 | 64 | 36 | 52 | 53 | 63 | 49 | 63 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Scott Stevens | 30 | 30 | 30 | 30 | 30 | 30 | 30 | CAN | 52 | 1 | 55,000$ |
| 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 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 Johnson | Americans (BUF) | C/LW | 27 | 6/22/1994 | No | 174 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Andrew Shortridge | Americans (BUF) | G | 26 | 4/26/1995 | Yes | 185 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Link | |||||||||
| Andy Welinski | Americans (BUF) | D | 28 | 4/27/1993 | No | 201 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Angus Crookshank | Americans (BUF) | LW | 21 | 10/2/1999 | Yes | 181 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 866,212$ | 866,212$ | 0$ | 0$ | No | 866,212$ | 866,212$ | ||||||||
| Christopher Wilkie | Americans (BUF) | RW | 25 | 7/10/1996 | Yes | 190 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
| Dakota Mermis | Americans (BUF) | D | 27 | 1/5/1994 | No | 196 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,600,000$ | 1,600,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Damien Riat | Americans (BUF) | LW/RW | 24 | 2/26/1997 | Yes | 180 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 795,370$ | 795,370$ | 0$ | 0$ | No | 795,370$ | 795,370$ | ||||||||
| David Rittich | Americans (BUF) | G | 29 | 8/18/1992 | No | 206 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 2,758,000$ | 2,758,000$ | 0$ | 0$ | No | 2,758,000$ | Link / NHL Link | ||||||||
| Emil Larmi | Americans (BUF) | G | 24 | 9/27/1996 | Yes | 185 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 807,282$ | 807,282$ | 0$ | 0$ | No | 807,282$ | 807,282$ | Link | |||||||
| Filip Kral | Americans (BUF) | D | 21 | 10/20/1999 | Yes | 176 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 943,065$ | 943,065$ | 0$ | 0$ | No | 943,065$ | 943,065$ | ||||||||
| Jake Evans | Americans (BUF) | C/RW | 25 | 6/2/1996 | No | 183 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 906,044$ | 906,044$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Jonathan Davidsson | Americans (BUF) | RW | 24 | 3/12/1997 | Yes | 185 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
| Joseph Duszak | Americans (BUF) | D | 24 | 7/22/1997 | No | 176 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
| Kristian Vesalainen | Americans (BUF) | LW/RW | 22 | 6/1/1999 | No | 207 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 919,409$ | 919,409$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Laurent Brossoit | Americans (BUF) | G | 28 | 3/22/1993 | No | 205 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 2,200,000$ | 2,200,000$ | 0$ | 0$ | No | 2,200,000$ | Link | ||||||||
| Lias Andersson | Americans (BUF) | C/LW | 22 | 10/13/1998 | No | 190 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 1,268,300$ | 1,268,300$ | 0$ | 0$ | No | 1,268,300$ | 1,268,300$ | Link / NHL Link | |||||||
| Mark Friedman | Americans (BUF) | D | 25 | 12/25/1995 | No | 185 Lbs | 5 ft11 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | |||||||||||
| Michael Bunting | Americans (BUF) | LW/RW | 25 | 9/17/1995 | No | 197 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Michael Hutchinson | Americans (BUF) | G | 31 | 3/1/1990 | No | 198 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 2,100,000$ | 2,100,000$ | 0$ | 0$ | No | 2,100,000$ | Link / NHL Link | ||||||||
| Nicholas Caamano | Americans (BUF) | LW/RW | 23 | 9/7/1998 | No | 201 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Link | |||||||||
| Nick Moutrey | Americans (BUF) | C | 26 | 6/23/1995 | No | 218 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 837,000$ | 837,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Pavel Shen | Americans (BUF) | C | 22 | 8/14/1999 | No | 183 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
| Sammy Blais | Americans (BUF) | LW/RW | 25 | 6/17/1996 | No | 205 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 1,356,000$ | 1,356,000$ | 0$ | 0$ | No | 1,356,000$ | Link | ||||||||
| Sven Baertschi | Americans (BUF) | LW | 28 | 10/4/1992 | No | 190 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 1,050,000$ | 1,050,000$ | 0$ | 0$ | No | 1,050,000$ | Link | ||||||||
| Yannick Weber | Americans (BUF) | D | 32 | 9/23/1988 | No | 200 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,295,000$ | 1,295,000$ | 0$ | 0$ | No | Link / NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 25 | 25.36 | 192 Lbs | 6 ft1 | 1.76 | 1,058,067$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 | |||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Penalty Shots |
|---|
| , , , , |
| Goalie |
|---|
| #1 : , #2 : |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 - 2021-09-15 | 12 | Stars | - | Americans | - | |||||
| 3 - 2021-09-17 | 29 | Americans | - | Stars | - | |||||
| 4 - 2021-09-18 | 44 | Americans | - | Heat | - | |||||
| 5 - 2021-09-19 | 59 | Penguins | - | Americans | - | |||||
| 7 - 2021-09-21 | 67 | Americans | - | Admirals | - | |||||
| 8 - 2021-09-22 | 88 | Admirals | - | Americans | - | |||||
| 9 - 2021-09-23 | 98 | Eagles | - | Americans | - | |||||
| 11 - 2021-09-25 | 118 | Americans | - | Checkers | - | |||||
| 12 - 2021-09-26 | 126 | Americans | - | Penguins | - | |||||
| 13 - 2021-09-27 | 145 | Americans | - | Moose | - | |||||
| 14 - 2021-09-28 | 155 | Checkers | - | Americans | - | |||||
| 15 - 2021-09-29 | 166 | Americans | - | Eagles | - | |||||
| 17 - 2021-10-01 | 185 | Heat | - | Americans | - | |||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
| 21 - 2021-10-05 | 210 | Moose | - | Americans | - | |||||
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 2000 | 1000 |
| Ticket Price | 26 | 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 |
| 7 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 0$ | 2,645,168$ | 2,610,838$ | 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$ | 22 | 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 | 90 | 33 | 36 | 0 | 3 | 4 | 6 | 8 | 298 | 291 | 7 | 45 | 19 | 15 | 0 | 1 | 2 | 4 | 4 | 162 | 141 | 21 | 45 | 14 | 21 | 0 | 2 | 2 | 2 | 4 | 136 | 150 | -14 | 96 | 298 | 478 | 776 | 3 | 4 | 54 | 110 | 125 | 17 | 2209 | 586 | 810 | 795 | 63 | 2028 | 659 | 1249 | 2006 | 240 | 75 | 31.25% | 267 | 86 | 67.79% | 10 | 831 | 1515 | 54.85% | 769 | 1453 | 52.92% | 617 | 1167 | 52.87% | 1680 | 712 | 1657 | 978 | 2136 | 1050 |
| 2020 | 90 | 19 | 44 | 0 | 7 | 10 | 6 | 4 | 180 | 250 | -70 | 45 | 9 | 22 | 0 | 4 | 6 | 2 | 2 | 95 | 133 | -38 | 45 | 10 | 22 | 0 | 3 | 4 | 4 | 2 | 85 | 117 | -32 | 78 | 180 | 278 | 458 | 5 | 7 | 28 | 69 | 70 | 18 | 1261 | 249 | 465 | 510 | 70 | 1849 | 682 | 826 | 1486 | 184 | 51 | 27.72% | 227 | 70 | 69.16% | 6 | 460 | 1076 | 42.75% | 602 | 1413 | 42.60% | 375 | 890 | 42.13% | 1490 | 497 | 1677 | 1010 | 2290 | 1159 |
| Total Regular Season | 180 | 52 | 80 | 0 | 10 | 14 | 12 | 12 | 478 | 541 | -63 | 90 | 28 | 37 | 0 | 5 | 8 | 6 | 6 | 257 | 274 | -17 | 90 | 24 | 43 | 0 | 5 | 6 | 6 | 6 | 221 | 267 | -46 | 174 | 478 | 756 | 1234 | 8 | 11 | 82 | 179 | 195 | 35 | 3470 | 835 | 1275 | 1305 | 133 | 3877 | 1341 | 2075 | 3492 | 424 | 126 | 29.72% | 494 | 156 | 68.42% | 16 | 1291 | 2591 | 49.83% | 1371 | 2866 | 47.84% | 992 | 2057 | 48.23% | 3170 | 1209 | 3334 | 1989 | 4426 | 2210 |
Barracuda
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