Toronto Marlies | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Nick Fournier | Morale : 50 | Team Overall : N/A |
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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 | Wayne Simmonds | X | X | 100.00 | 40 | 35 | 40 | 63 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 88 | 76 | 11 | 50 | 0 | 0 | 36 | 3 | 1,999,999$ | |||
2 | Derek Stepan | X | X | 100.00 | 40 | 35 | 40 | 64 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 84 | 73 | 11 | 47 | 0 | 0 | 34 | 3 | 750,000$ | |||
3 | Joseph Blandisi | X | 100.00 | 62 | 43 | 67 | 64 | 71 | 82 | 84 | 62 | 72 | 65 | 63 | 60 | 64 | 70 | 72 | 39 | 40 | 0 | 0 | 30 | 3 | 999,999$ | ||||
4 | Jonathan Dahlen | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 26 | 2 | 750,000$ | ||||
5 | Jacob Perreault (R) | X | 100.00 | 62 | 42 | 68 | 60 | 71 | 76 | 77 | 59 | 60 | 58 | 57 | 56 | 59 | 62 | 64 | 80 | 50 | 0 | 0 | 22 | 1 | 925,000$ | ||||
6 | Wade Allison | X | 100.00 | 78 | 60 | 77 | 62 | 81 | 84 | 82 | 59 | 57 | 56 | 61 | 63 | 59 | 68 | 69 | 61 | 41 | 0 | 0 | 26 | 2 | 925,000$ | ||||
7 | Logan Hutsko (R) | X | 100.00 | 40 | 35 | 40 | 61 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 64 | 66 | 11 | 50 | 0 | 0 | 25 | 1 | 892,500$ | ||||
8 | Filip Cederqvist (R) | X | 100.00 | 74 | 40 | 84 | 58 | 83 | 78 | 80 | 57 | 54 | 56 | 56 | 59 | 55 | 64 | 66 | 53 | 50 | 0 | 0 | 24 | 1 | 850,000$ | ||||
9 | Josh Doan (R) | X | 100.00 | 64 | 37 | 88 | 69 | 74 | 86 | 76 | 67 | 60 | 66 | 72 | 63 | 69 | 62 | 68 | 76 | 43 | 0 | 0 | 22 | 1 | 925,000$ | ||||
10 | Logan Morrison (R) | X | 100.00 | 61 | 36 | 95 | 63 | 70 | 82 | 72 | 62 | 71 | 60 | 58 | 66 | 63 | 62 | 64 | 53 | 50 | 0 | 0 | 22 | 1 | 870,000$ | ||||
11 | Stephen Halliday (R) | X | 100.00 | 77 | 39 | 94 | 62 | 86 | 71 | 60 | 58 | 74 | 65 | 50 | 61 | 54 | 63 | 64 | 62 | 50 | 0 | 0 | 22 | 1 | 950,000$ | ||||
12 | Viktor Neuchev (R) | X | 100.00 | 64 | 37 | 95 | 58 | 73 | 79 | 70 | 56 | 62 | 59 | 57 | 55 | 58 | 61 | 63 | 66 | 50 | 0 | 0 | 20 | 1 | 870,000$ | ||||
13 | Danny DeKeyser | X | 100.00 | 40 | 35 | 40 | 62 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 76 | 72 | 11 | 47 | 0 | 0 | 34 | 3 | 999,999$ | ||||
14 | Ben Hutton | X | 100.00 | 63 | 40 | 90 | 67 | 84 | 87 | 73 | 65 | 30 | 72 | 62 | 64 | 54 | 75 | 71 | 43 | 18 | 0 | 0 | 31 | 3 | 800,000$ | ||||
15 | Nikita Novikov (R) | X | 100.00 | 74 | 41 | 79 | 59 | 83 | 63 | 71 | 56 | 30 | 60 | 53 | 58 | 46 | 61 | 63 | 49 | 52 | 0 | 0 | 21 | 1 | 867,500$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 59 | 39 | 69 | 61 | 63 | 79 | 80 | 53 | 45 | 54 | 53 | 54 | 49 | 66 | 65 | 42 | 46 | 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 | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kevin Poulin | 100.00 | 40 | 90 | 80 | 50 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 73 | 87 | 11 | 50 | 0 | 0 | 34 | 3 | 750,000$ | |
2 | Landon Bow | 100.00 | 40 | 90 | 80 | 50 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 25 | 25 | 11 | 50 | 0 | 0 | 29 | 1 | 700,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 40 | 90 | 80 | 50 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 49 | 56 | 11 | 50 | 0 |
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 |
Country |
Rookie |
Weight |
Height |
No Trade |
Available For Trade |
Acquired By |
Last Trade Date |
Force Waivers |
Waiver Possible |
Contract |
Contract Signature Date |
Force UFA |
Emergency Recall |
Type |
Current Salary |
Salary Remaining | Salary Cap |
Salary Cap Remaining |
Exclude from Salary Cap |
Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ben Hutton | Toronto Marlies (TOR) | D | 31 | 1993-04-20 | CAN | No | 201 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 800,000$ | 114,286$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Danny DeKeyser | Toronto Marlies (TOR) | D | 34 | 1990-03-07 | USA | No | 183 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 999,999$ | 142,857$ | 0$ | 0$ | No | 999,999$ | 999,999$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Derek Stepan | Toronto Marlies (TOR) | C/RW | 34 | 1990-06-18 | USA | No | 196 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 750,000$ | 107,143$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Filip Cederqvist | Toronto Marlies (TOR) | LW | 24 | 2000-08-23 | SWE | Yes | 196 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 850,000$ | 121,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Jacob Perreault | Toronto Marlies (TOR) | RW | 22 | 2002-04-15 | USA | Yes | 192 Lbs | 5 ft11 | No | No | Trade | 2024-01-02 | No | No | 1 | False | False | Pro & Farm | 925,000$ | 132,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Jonathan Dahlen | Toronto Marlies (TOR) | LW | 26 | 1997-12-20 | SWE | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 107,143$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 702,020$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Joseph Blandisi | Toronto Marlies (TOR) | LW | 30 | 1994-07-18 | CAN | No | 184 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 999,999$ | 142,857$ | 0$ | 0$ | No | 999,999$ | 999,999$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Josh Doan | Toronto Marlies (TOR) | RW | 22 | 2002-02-01 | USA | Yes | 183 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2024-05-19 | False | False | Pro & Farm | 925,000$ | 132,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Kevin Poulin | Toronto Marlies (TOR) | G | 34 | 1990-04-12 | CAN | No | 206 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 750,000$ | 107,143$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Landon Bow | Toronto Marlies (TOR) | G | 29 | 1995-08-24 | CAN | No | 220 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 100,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Logan Hutsko | Toronto Marlies (TOR) | RW | 25 | 1999-01-11 | USA | Yes | 172 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 892,500$ | 127,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Logan Morrison | Toronto Marlies (TOR) | C | 22 | 2002-07-09 | CAN | Yes | 179 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 870,000$ | 124,286$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Nikita Novikov | Toronto Marlies (TOR) | D | 21 | 2003-07-25 | RUS | Yes | 196 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 867,500$ | 123,929$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Stephen Halliday | Toronto Marlies (TOR) | C | 22 | 2002-07-02 | CAN | Yes | 213 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 950,000$ | 135,714$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Viktor Neuchev | Toronto Marlies (TOR) | LW | 20 | 2003-10-25 | RUS | Yes | 165 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 870,000$ | 124,286$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Wade Allison | Toronto Marlies (TOR) | RW | 26 | 1997-10-14 | CAN | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 925,000$ | 132,143$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Wayne Simmonds | Toronto Marlies (TOR) | LW/RW | 36 | 1988-07-27 | CAN | No | 184 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,999,999$ | 285,714$ | 0$ | 0$ | No | 1,999,999$ | 1,999,999$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
17 | 26.94 | 191 Lbs | 6 ft1 | 1.82 | 930,882$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# |
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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 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% | 0 | 0 | 0% | 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% | 0 | 0 | 0% | 0 | 0 | 0% |
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% | 0% |
Attendance PCT | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
36 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
0$ | 1,582,500$ | 1,155,202$ | 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$ | 2 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 36 | 11 | 16 | 27 | 26 | 12 | 63 | 28 | 126 | 8.73% | 3 | 449 | 12.49 | 3 | 0 | 3 | 34 | 0 | 0 | 0 | 0 | 2 | 0 | 83.33% | 0 | 1.20 | 0 | 0 |
# |
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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
21 | 72 | 9 | 47 | 0 | 2 | 4 | 5 | 5 | 154 | 316 | -162 | 36 | 6 | 22 | 0 | 1 | 2 | 2 | 3 | 77 | 151 | -74 | 36 | 3 | 25 | 0 | 1 | 2 | 3 | 2 | 77 | 165 | -88 | 41 | 154 | 292 | 446 | 1 | 0 | 58 | 48 | 41 | 11 | 2042 | 625 | 709 | 673 | 71 | 3103 | 852 | 202 | 1453 | 132 | 13 | 9.85% | 89 | 17 | 80.90% | 1 | 660 | 1507 | 43.80% | 828 | 1975 | 41.92% | 440 | 1090 | 40.37% | 1229 | 860 | 2361 | 495 | 790 | 334 |
Total Regular Season | 72 | 9 | 47 | 0 | 2 | 4 | 5 | 5 | 154 | 316 | -162 | 36 | 6 | 22 | 0 | 1 | 2 | 2 | 3 | 77 | 151 | -74 | 36 | 3 | 25 | 0 | 1 | 2 | 3 | 2 | 77 | 165 | -88 | 41 | 154 | 292 | 446 | 1 | 0 | 58 | 48 | 41 | 11 | 2042 | 625 | 709 | 673 | 71 | 3103 | 852 | 202 | 1453 | 132 | 13 | 9.85% | 89 | 17 | 80.90% | 1 | 660 | 1507 | 43.80% | 828 | 1975 | 41.92% | 440 | 1090 | 40.37% | 1229 | 860 | 2361 | 495 | 790 | 334 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Playoff | 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 | 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 | 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 |
---|