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/\d/
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4
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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
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Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8
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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
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
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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
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
*
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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
Filter Tips
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
Filter Tips
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
Shayne Gostisbehere, Derek Forbort, Nick Leddy, Robert Hagg, Erik Brannstrom
Filter Tips
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
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
Level 3
Level 4
Luxury
Arena Capacity
5750
4750
3750
2750
1000
Ticket Price
102
70
60
34
220
Attendance
0.00%
0.00%
0.00%
0.00%
0.00%
Attendance PCT
0.00%
0.00%
0.00%
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$
18000
90
Expenses
Year To Date Expenses
Players Total Salaries
Players Total Average Salaries
Coaches Salaries
Special Salary Cap Value
0$
82,245,200$
74,188,200$
0$
291,667$
Salary Cap Per Days
Salary Cap To Date
Luxury Taxe Total
Players In Salary Cap
Players Out of Salary Cap
0$
0$
0$
23
0
Estimate
Estimated Season Revenue
Remaining Season Days
Expenses Per Days
Estimated Season Expenses
0$
1
0$
0$
Team Total Estimate
Estimated Season Expenses
Estimated Season Salary Cap
Current Bank Account
Projected Bank Account
0$
0$
6,662,777$
6,662,777$
Depth Chart
Left Wing
Center
Right Wing
Josh Bailey
AGE:34
PO:0
OV:69
Evgenii Dadonov
AGE:34
PO:0
OV:69
Tyler Johnson
AGE:33
PO:0
OV:68
Sammy Blais
AGE:27
PO:0
OV:67
Adam Erne
AGE:28
PO:0
OV:66
*Jansen Harkins
AGE:26
PO:0
OV:66
Matthew Highmore
AGE:27
PO:0
OV:65
Chris Wagner
AGE:32
PO:0
OV:63
*Jonah Gadjovich
AGE:25
PO:0
OV:61
Colin Theisen
AGE:26
PO:0
OV:61
*Brent Gates Jr.
AGE:26
PO:0
OV:60
*Cole Fonstad
AGE:23
PO:0
OV:60
Brandon Cutler
AGE:23
PO:0
OV:58
Nick Suzuki
AGE:24
PO:0
OV:73
Mikael Backlund
AGE:34
PO:0
OV:71
Nicklas Backstrom
AGE:36
PO:0
OV:70
Josh Bailey
AGE:34
PO:0
OV:69
Tyler Johnson
AGE:33
PO:0
OV:68
Curtis Lazar
AGE:28
PO:0
OV:66
*Jansen Harkins
AGE:26
PO:0
OV:66
Matthew Highmore
AGE:27
PO:0
OV:65
*Paul Cotter
AGE:24
PO:0
OV:64
*Raphael Lavoie
AGE:23
PO:0
OV:64
Chris Wagner
AGE:32
PO:0
OV:63
*Nate Schnarr
AGE:24
PO:0
OV:60
Jake Gaudet
AGE:27
PO:0
OV:59
Nick Suzuki
AGE:24
PO:0
OV:73
Troy Terry
AGE:26
PO:0
OV:72
Mikael Backlund
AGE:34
PO:0
OV:71
Josh Bailey
AGE:34
PO:0
OV:69
Evgenii Dadonov
AGE:34
PO:0
OV:69
Tyler Johnson
AGE:33
PO:0
OV:68
Sammy Blais
AGE:27
PO:0
OV:67
Curtis Lazar
AGE:28
PO:0
OV:66
Julien Gauthier
AGE:26
PO:0
OV:66
Matthew Highmore
AGE:27
PO:0
OV:65
*Joakim Kemell
AGE:19
PO:0
OV:64
*Justin Brazeau
AGE:25
PO:0
OV:64
Chris Wagner
AGE:32
PO:0
OV:63
*Reese Johnson
AGE:25
PO:0
OV:63
*Alex Whelan
AGE:26
PO:0
OV:60
*Lucas Edmonds
AGE:22
PO:0
OV:60
Greg Meireles
AGE:24
PO:0
OV:59
*Patrick Giles
AGE:23
PO:0
OV:59
Defense #1
Defense #2
Goalie
Shayne Gostisbehere
AGE:30
PO:0
OV:71
Nick Leddy
AGE:32
PO:0
OV:68
Derek Forbort
AGE:31
PO:0
OV:68
Josh Brown
AGE:29
PO:0
OV:65
Erik Brannstrom
AGE:24
PO:0
OV:65
Robert Hagg
AGE:28
PO:0
OV:65
Gavin Bayreuther
AGE:29
PO:0
OV:65
Noah Juulsen
AGE:26
PO:0
OV:64
*Reilly Walsh
AGE:24
PO:0
OV:63
*Brandt Clarke
AGE:20
PO:0
OV:62
*Mac Hollowell
AGE:25
PO:0
OV:62
*Parker Wotherspoon
AGE:26
PO:0
OV:62
Darien Kielb
AGE:24
PO:0
OV:59
*Will Reilly
AGE:26
PO:0
OV:58
*Tyrel Bauer
AGE:21
PO:0
OV:57
Jordan Binnington
AGE:30
PO:0
OV:74
David Rittich
AGE:31
PO:0
OV:68
*Joel Hofer
AGE:23
PO:0
OV:66
Zach Fucale
AGE:28
PO:0
OV:65
*Devon Levi
AGE:22
PO:0
OV:64
*Nolan Maier
AGE:22
PO:0
OV:60
Prospects
Filter Tips
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