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
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
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
Mike Fisher, Drew Stafford, Dustin Brown, Milan Michalek, Brian Boyle
Gardien
#1 : Ondrej Pavelec, #2 : Jacob Markstrom
Lignes d'Attaque Perso. en Prol.
Mike Fisher, Drew Stafford, Dustin Brown, Milan Michalek, Brian Boyle, Marian Gaborik, Marian Gaborik, Joffrey Lupul, Brock Nelson, Cal Clutterbuck, Anders Lee
Lignes de Défense Perso. en Prol.
Dan Hamhuis, Kevin Bieksa, Darnell Nurse, Simon Despres, Brian Dumoulin
Astuces sur les Filtres (Anglais seulement)
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
Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1
Niveau 2
Niveau 3
Niveau 4
Luxe
Capacité de l'Aréna
7000
6000
3000
5000
2000
Prix des Billets
100
60
35
25
200
Assistance
223186
195404
93500
161860
64093
Attendance PCT
75.91%
77.54%
74.21%
77.08%
76.30%
Revenus
Matchs à domicile Restants
Assistance Moyenne - %
Revenus Moyen par Match
Revenus Annuels à ce Jour
Capacité de l'Aréna
Popularité de l'Équipe
0
17572 - 76.40%
1,922,116$
80,728,856$
23000
100
Dépenses
Salaire Total des Joueurs
Salaire Total Moyen des Joueurs
Salaire des Coachs
Valeur du Cap Salarial Spécial
89,080,997$
45,842,134$
0$
0$
Dépenses Annuelles à Ce Jour
Cap Salarial Par Jour
Cap salarial à ce jour
Taxe de Luxe Totale
89,435,604$
573,281$
89,249,691$
0$
Éstimation
Revenus de la Saison Éstimés
Jours Restants de la Saison
Dépenses Par Jour
Dépenses de la Saison Éstimées
0$
0
582,229$
0$
Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées
Cap Salarial de la Saison Éstimé
Compte Bancaire Actuel
Compte Bancaire Projeté
65,283$
89,249,691$
163,835,313$
163,770,030$
Charte de Profondeur
Ailier Gauche
Centre
Ailier Droit
Dustin Brown
AGE:31
PO:0
OV:87
Milan Michalek
AGE:31
PO:0
OV:85
Joffrey Lupul
AGE:33
PO:0
OV:84
Brock Nelson
AGE:24
PO:0
OV:84
Marian Gaborik
AGE:34
PO:0
OV:84
Anders Lee
AGE:26
PO:0
OV:83
Zemgus Girgensons
AGE:22
PO:0
OV:82
Luke Glendening
AGE:27
PO:0
OV:81
Tyler Ennis
AGE:26
PO:0
OV:81
Kyle Clifford
AGE:25
PO:0
OV:78
*Nikolay Goldobin
AGE:20
PO:0
OV:67
*Charles Hudon
AGE:22
PO:0
OV:66
Mike Fisher
AGE:36
PO:0
OV:90
Brian Boyle
AGE:31
PO:0
OV:85
Brock Nelson
AGE:24
PO:0
OV:84
Anders Lee
AGE:26
PO:0
OV:83
Zemgus Girgensons
AGE:22
PO:0
OV:82
Luke Glendening
AGE:27
PO:0
OV:81
Tyler Ennis
AGE:26
PO:0
OV:81
Casey Cizikas
AGE:25
PO:0
OV:80
Jordan Nolan
AGE:27
PO:0
OV:75
Jordan Schroeder
AGE:25
PO:0
OV:72
*Alex Khokhlachev
AGE:23
PO:0
OV:65
Dustin Brown
AGE:31
PO:0
OV:87
Drew Stafford
AGE:30
PO:0
OV:87
Milan Michalek
AGE:31
PO:0
OV:85
Joffrey Lupul
AGE:33
PO:0
OV:84
Brock Nelson
AGE:24
PO:0
OV:84
Marian Gaborik
AGE:34
PO:0
OV:84
Cal Clutterbuck
AGE:28
PO:0
OV:83
Zemgus Girgensons
AGE:22
PO:0
OV:82
Jimmy Hayes
AGE:26
PO:0
OV:82
Luke Glendening
AGE:27
PO:0
OV:81
Alex Chiasson
AGE:25
PO:0
OV:79
*Michael McCarron
AGE:21
PO:0
OV:74
*Tobias Lindberg
AGE:21
PO:0
OV:72
*Tyler Randell
AGE:25
PO:0
OV:70
*Brody Sutter
AGE:24
PO:0
OV:68
Défense #1
Défense #2
Gardien
Dan Hamhuis
AGE:33
PO:0
OV:88
Kevin Bieksa
AGE:35
PO:0
OV:87
Danny DeKeyser
AGE:26
PO:0
OV:85
Dennis Seidenberg
AGE:35
PO:0
OV:85
*Darnell Nurse
AGE:21
PO:0
OV:81
Brian Dumoulin
AGE:25
PO:0
OV:81
Simon Despres
AGE:25
PO:0
OV:81
Jon Merrill
AGE:24
PO:0
OV:78
Derrick Pouliot
AGE:22
PO:0
OV:77
Dylan Olsen
AGE:25
PO:0
OV:77
*Viktor Svedberg
AGE:25
PO:0
OV:76
Jarred Tinordi
AGE:24
PO:0
OV:75
*Ryan Pulock
AGE:21
PO:0
OV:74
*Adam Pelech
AGE:22
PO:0
OV:72
*Keegan Lowe
AGE:23
PO:0
OV:72
*Rinat Valiev
AGE:21
PO:0
OV:69
Ondrej Pavelec
AGE:29
PO:0
OV:92
Jacob Markstrom
AGE:26
PO:0
OV:90
*Garret Sparks
AGE:23
PO:0
OV:85
*Scott Wedgewood
AGE:24
PO:0
OV:84
Éspoirs
Astuces sur les Filtres (Anglais seulement)
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
[2017-05-01 06:05:45] - Vladimir Kuznetsov has been deleted from Jawz. [2017-02-23 06:03:05] - TRADE : From Pioneers to Jawz : Jake Debrusk (P). [2017-02-23 06:03:05] - TRADE : From Jawz to Pioneers : Jakob Silfverberg (85). [2017-02-19 19:36:15] - TRADE : From Lycans to Jawz : Ondrej Pavelec (92), Henrik Borgstrom (P), Tage Thompson (P), Graham Knott (P). [2017-02-19 19:36:15] - TRADE : From Jawz to Lycans : John Gibson (91), Robby Fabbri (78), Rasmus Andersson (P). [2017-02-19 19:36:13] - Ondrej Pavelec was added to Jawz. [2017-02-19 14:43:11] - TRADE : From Outlaws to Jawz : Caleb Jones (P), Colin White (P). [2017-02-19 14:43:11] - TRADE : From Jawz to Outlaws : Nick Bjugstad (86), Alexander Dergachyov (P). [2017-02-13 06:05:51] - TRADE : From Goblins to Jawz : Derrick Pouliot (77), Nikolay Goldobin (67), Jordan Subban (P). [2017-02-13 06:05:51] - TRADE : From Jawz to Goblins : Justin Schultz (82), Olli Maatta (82), Michael Spacek (P). [2017-02-13 06:05:50] - Nikolay Goldobin was added to Jawz. [2017-02-13 06:05:50] - Derrick Pouliot was added to Jawz. [2017-02-11 21:14:58] - TRADE : From Jawz to Lycans : Charlie Coyle (85). [2017-02-11 21:14:58] - TRADE : From Lycans to Jawz : Jakob Chychrun (P), Y:2017-RND:1-PIR. [2017-01-10 19:18:24] - TRADE : From Expos to Jawz : Mike Fisher (90). [2017-01-10 19:18:24] - TRADE : From Jawz to Expos : Y:2019-RND:3-Jaw. [2017-01-10 19:18:23] - Mike Fisher was added to Jawz. [2017-01-04 15:55:09] - TRADE : From Pioneers to Jawz : Nicholas Merkley (P). [2017-01-04 15:55:09] - TRADE : From Jawz to Pioneers : Andrew Shaw (83). [2016-12-26 07:27:00] - TRADE : From Jawz to Lycans : Y:2018-RND:2-GOB. [2016-12-26 07:27:00] - TRADE : From Lycans to Jawz : Zemgus Girgensons (82). [2016-12-26 07:26:59] - Zemgus Girgensons was added to Jawz. [2016-10-05 19:08:08] - Dan Boyle retired from Jawz [2016-09-29 06:09:53] - TRADE : From Jawz to Expos : Brendan Smith (83). [2016-09-29 06:09:48] - TRADE : From Expos to Jawz : 75 000 $ (Money). [2016-09-29 06:00:40] - TRADE : From Jawz to Goblins : Matt Martin (83). [2016-09-29 06:00:40] - TRADE : From Goblins to Jawz : 75 000 $ (Money). [2016-09-29 05:58:58] - TRADE : From Expos to Jawz : 75 000 $ (Money). [2016-09-29 05:58:58] - TRADE : From Jawz to Expos : Paul Byron (79). [2016-09-29 05:55:39] - TRADE : From Jawz to Lycans : Thomas Hickey (84). [2016-09-29 05:55:39] - TRADE : From Lycans to Jawz : 75 000 $ (Money).