| Cabaret Lady Mary Ann | |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Pierre-Luc Chartrand | Morale : 50 | Team Overall : 47 |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 Average |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Joachim Blichfeld | X | X | 100.00 | 75 | 69 | 90 | 66 | 69 | 63 | 63 | 63 | 50 | 58 | 65 | 64 | 62 | 44 | 44 | 0 | 50 | 59 | 0 | 23 | 1 | 736,666$ | |||
| 2 | Michael Eyssimont | X | X | 100.00 | 65 | 67 | 59 | 69 | 67 | 72 | 75 | 63 | 79 | 60 | 62 | 59 | 59 | 44 | 44 | 0 | 50 | 59 | 0 | 25 | 2 | 750,000$ | |||
| 3 | Josh Dunne | X | 100.00 | 75 | 80 | 64 | 78 | 80 | 51 | 50 | 55 | 69 | 47 | 58 | 62 | 55 | 44 | 44 | 0 | 50 | 57 | 0 | 22 | 3 | 925,000$ | ||||
| 4 | Cody McLeod | X | 100.00 | 64 | 75 | 39 | 61 | 75 | 59 | 63 | 51 | 50 | 43 | 46 | 65 | 44 | 80 | 82 | 0 | 50 | 55 | 0 | 37 | 2 | 750,000$ | ||||
| 5 | Jack Dugan | X | 100.00 | 74 | 70 | 82 | 62 | 70 | 47 | 44 | 59 | 50 | 58 | 56 | 63 | 53 | 44 | 44 | 0 | 50 | 55 | 0 | 23 | 1 | 525,000$ | ||||
| 6 | Francis Perron | X | 100.00 | 62 | 62 | 82 | 60 | 62 | 58 | 60 | 49 | 49 | 49 | 47 | 62 | 47 | 51 | 51 | 0 | 50 | 53 | 0 | 25 | 4 | 600,000$ | ||||
| 7 | Joseph LaBate | X | X | 100.00 | 69 | 81 | 42 | 61 | 81 | 59 | 62 | 49 | 61 | 46 | 47 | 58 | 45 | 45 | 45 | 0 | 50 | 53 | 0 | 28 | 3 | 600,000$ | |||
| 8 | Lukas Rousek | X | X | 100.00 | 73 | 63 | 96 | 70 | 63 | 40 | 38 | 49 | 50 | 47 | 46 | 60 | 44 | 44 | 44 | 0 | 50 | 51 | 0 | 22 | 4 | 830,000$ | |||
| 9 | Par Lindholm | X | X | 100.00 | 73 | 67 | 98 | 63 | 67 | 43 | 44 | 43 | 55 | 35 | 41 | 63 | 41 | 57 | 58 | 0 | 50 | 50 | 0 | 30 | 2 | 700,000$ | |||
| 10 | Fredrik Olofsson (R) | X | 100.00 | 31 | 40 | 40 | 40 | 71 | 29 | 29 | 31 | 40 | 30 | 30 | 40 | 35 | 32 | 30 | 0 | 50 | 35 | 0 | 25 | 4 | 600,000$ | ||||
| 11 | Leevi Aaltonen (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 50 | 5 | 0 | 20 | 4 | 560,000$ | ||||
| 12 | Leon Gawanke | X | 100.00 | 75 | 69 | 90 | 67 | 69 | 61 | 63 | 56 | 25 | 49 | 49 | 63 | 47 | 44 | 44 | 0 | 50 | 58 | 0 | 22 | 2 | 796,667$ | ||||
| 13 | Ian McCoshen | X | 100.00 | 78 | 80 | 72 | 60 | 80 | 54 | 57 | 46 | 25 | 37 | 39 | 63 | 37 | 50 | 50 | 0 | 50 | 56 | 0 | 26 | 4 | 600,000$ | ||||
| 14 | Nick Cicek (R) | X | 100.00 | 74 | 76 | 68 | 63 | 76 | 51 | 51 | 53 | 25 | 49 | 42 | 61 | 40 | 44 | 44 | 0 | 50 | 55 | 0 | 21 | 4 | 600,000$ | ||||
| 15 | Nick Boka | X | 100.00 | 64 | 75 | 38 | 61 | 75 | 41 | 40 | 46 | 25 | 31 | 46 | 55 | 44 | 44 | 44 | 0 | 50 | 50 | 0 | 24 | 7 | 600,000$ | ||||
| 16 | Jordan Subban (R) | X | 100.00 | 30 | 40 | 40 | 40 | 51 | 27 | 27 | 30 | 40 | 29 | 29 | 40 | 34 | 32 | 30 | 0 | 50 | 35 | 0 | 26 | 3 | 600,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Nikola Pasic (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 50 | 5 | 0 | 20 | 4 | 560,000$ | ||||
| 2 | Ethan Prow | X | 100.00 | 75 | 66 | 96 | 65 | 66 | 62 | 63 | 58 | 25 | 54 | 48 | 63 | 46 | 44 | 44 | 0 | 50 | 58 | 0 | 28 | 4 | 600,000$ | ||||
| TEAM AVERAGE | 100.00 | 59 | 60 | 61 | 55 | 62 | 46 | 46 | 45 | 40 | 40 | 42 | 52 | 41 | 41 | 41 | 0 | 50 | 47 | ||||||||||
| 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 Average |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Michael McNiven | 100.00 | 44 | 45 | 56 | 76 | 42 | 46 | 50 | 51 | 48 | 48 | 30 | 44 | 44 | 0 | 50 | 50 | 0 | 24 | 2 | 682,222$ | |
| Scratches | |||||||||||||||||||||||
| 1 | Ken Appleby (R) | HO | 44 | 42 | 53 | 85 | 45 | 44 | 45 | 49 | 45 | 45 | 45 | 44 | 44 | 0 | 50 | 49 | 0 | 26 | 0 | 0$ | |
| 2 | Isaiah Saville (R) | 100.00 | 44 | 40 | 50 | 74 | 45 | 44 | 45 | 49 | 45 | 45 | 45 | 44 | 44 | 0 | 50 | 48 | 0 | 21 | 4 | 849,667$ | |
| 3 | Filip Lindberg (R) | 100.00 | 44 | 40 | 50 | 71 | 45 | 44 | 45 | 49 | 45 | 45 | 45 | 44 | 44 | 0 | 50 | 47 | 0 | 22 | 4 | 925,000$ | |
| TEAM AVERAGE | 100.00 | 44 | 42 | 52 | 77 | 44 | 45 | 46 | 50 | 46 | 46 | 41 | 44 | 44 | 0 | 50 | 49 | ||||||
| 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 |
Type |
Current Salary |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cody McLeod (1 Way Contract) | Cabaret Lady Mary Ann (Que) | LW | 37 | 1984-06-26 | No | 204 Lbs | 6 ft2 | No | No | Yes | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | |||||||||
| Ethan Prow (1 Way Contract) | Cabaret Lady Mary Ann (Que) | D | 28 | 1992-11-17 | No | 182 Lbs | 5 ft11 | No | No | Yes | 4 | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | Link | |||||||
| Filip Lindberg | Cabaret Lady Mary Ann (Que) | G | 22 | 1999-01-31 | Yes | 194 Lbs | 6 ft0 | No | No | No | 4 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | 925,000$ | Link | |||||||
| Francis Perron | Cabaret Lady Mary Ann (Que) | LW | 25 | 1996-04-18 | No | 166 Lbs | 6 ft0 | No | No | Yes | 4 | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | Link | |||||||
| Fredrik Olofsson | Cabaret Lady Mary Ann (Que) | LW | 25 | 1996-05-27 | Yes | 204 Lbs | 6 ft2 | No | No | Yes | 4 | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | Link | |||||||
| Ian McCoshen (1 Way Contract) | Cabaret Lady Mary Ann (Que) | D | 26 | 1995-08-05 | No | 218 Lbs | 6 ft3 | No | No | Yes | 4 | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | Link | |||||||
| Isaiah Saville | Cabaret Lady Mary Ann (Que) | G | 21 | 2000-09-21 | Yes | 196 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 849,667$ | 0$ | 0$ | No | 849,667$ | 849,667$ | 849,667$ | Link | |||||||
| Jack Dugan | Cabaret Lady Mary Ann (Que) | LW | 23 | 1998-03-24 | No | 185 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 525,000$ | 0$ | 0$ | No | Link | ||||||||||
| Joachim Blichfeld | Cabaret Lady Mary Ann (Que) | LW/RW | 23 | 1998-07-17 | No | 180 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 736,666$ | 0$ | 0$ | No | Link | ||||||||||
| Jordan Subban (1 Way Contract) | Cabaret Lady Mary Ann (Que) | D | 26 | 1995-05-03 | Yes | 175 Lbs | 5 ft9 | No | No | Yes | 3 | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | Link | ||||||||
| Joseph LaBate (1 Way Contract) | Cabaret Lady Mary Ann (Que) | C/LW | 28 | 1993-04-16 | No | 210 Lbs | 6 ft5 | No | No | Yes | 3 | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | Link | ||||||||
| Josh Dunne | Cabaret Lady Mary Ann (Que) | C | 22 | 1998-12-08 | No | 210 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Link | ||||||||
| Ken Appleby (1 Way Contract) | Cabaret Lady Mary Ann (Que) | G | 26 | 1995-04-09 | Yes | 210 Lbs | 6 ft4 | No | No | Yes | 0 | Pro & Farm | 0$ | 0$ | No | Link | |||||||||||
| Leevi Aaltonen | Cabaret Lady Mary Ann (Que) | C | 20 | 2001-01-24 08:27:20 | Yes | 176 Lbs | 5 ft9 | No | No | No | 4 | Pro & Farm | 560,000$ | 0$ | 0$ | No | 560,000$ | 560,000$ | 560,000$ | ||||||||
| Leon Gawanke | Cabaret Lady Mary Ann (Que) | D | 22 | 1999-05-31 | No | 186 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 796,667$ | 0$ | 0$ | No | 796,667$ | Link | |||||||||
| Lukas Rousek | Cabaret Lady Mary Ann (Que) | LW/RW | 22 | 1999-04-20 | No | 172 Lbs | 5 ft11 | No | No | No | 4 | Pro & Farm | 830,000$ | 0$ | 0$ | No | 830,000$ | 830,000$ | 830,000$ | Link | |||||||
| Michael Eyssimont | Cabaret Lady Mary Ann (Que) | C/LW | 25 | 1996-09-09 | No | 181 Lbs | 6 ft0 | No | No | Yes | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | |||||||||
| Michael McNiven | Cabaret Lady Mary Ann (Que) | G | 24 | 1997-07-08 | No | 203 Lbs | 6 ft1 | No | No | Yes | 2 | Pro & Farm | 682,222$ | 0$ | 0$ | No | 682,222$ | Link | |||||||||
| Nick Boka | Cabaret Lady Mary Ann (Que) | D | 24 | 1997-09-08 | No | 209 Lbs | 6 ft1 | No | No | Yes | 7 | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | 600,000$ | 600,000$ | 600,000$ | Link | ||||
| Nick Cicek | Cabaret Lady Mary Ann (Que) | D | 21 | 2000-05-29 | Yes | 201 Lbs | 6 ft3 | Yes | No | No | 4 | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | Link | |||||||
| Nikola Pasic | Cabaret Lady Mary Ann (Que) | C | 20 | 2000-10-16 08:28:42 | Yes | 187 Lbs | 5 ft10 | No | No | No | 4 | Pro & Farm | 560,000$ | 0$ | 0$ | No | 560,000$ | 560,000$ | 560,000$ | ||||||||
| Par Lindholm (1 Way Contract) | Cabaret Lady Mary Ann (Que) | C/LW | 30 | 1991-10-05 | No | 183 Lbs | 6 ft0 | No | No | Yes | 2 | Pro & Farm | 700,000$ | 0$ | 0$ | No | 700,000$ | Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 22 | 24.55 | 192 Lbs | 6 ft1 | 3.09 | 654,101$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
| 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 0$ | 1,054,023$ | 1,054,023$ | 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$ |
| # | 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 |
|---|
