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
Tomas Plekanec, David Krejci, Justin Abdelkader, Jiri Hudler, Tyler Bozak
Gardien
#1 : Corey Crawford, #2 : Cam Ward
Lignes d'Attaque Perso. en Prol.
David Krejci, Tomas Plekanec, , Justin Abdelkader, Jiri Hudler, Tyler Bozak, Tyler Bozak, Michael Frolik, Ondrej Palat, Colin Wilson, Joe Colborne
Lignes de Défense Perso. en Prol.
Jared Spurgeon, Ron Hainsey, Paul Martin, Tyson Barrie, Jeff Petry
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
95
57
32
23
193
Assistance
270647
232503
117131
193893
78384
Attendance PCT
92.06%
92.26%
92.96%
92.33%
93.31%
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
21251 - 92.40%
2,221,704$
93,311,550$
23000
100
Dépenses
Salaire Total des Joueurs
Salaire Total Moyen des Joueurs
Salaire des Coachs
Valeur du Cap Salarial Spécial
111,636,048$
23,159,836$
0$
0$
Dépenses Annuelles à Ce Jour
Cap Salarial Par Jour
Cap salarial à ce jour
Taxe de Luxe Totale
110,569,425$
729,647$
110,569,425$
0$
Éstimation
Revenus de la Saison Éstimés
Jours Restants de la Saison
Dépenses Par Jour
Dépenses de la Saison Éstimées
0$
0
729,647$
0$
Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées
Cap Salarial de la Saison Éstimé
Compte Bancaire Actuel
Compte Bancaire Projeté
25,056$
110,569,425$
61,020,332$
60,995,276$
Charte de Profondeur
Ailier Gauche
Centre
Ailier Droit
Daniel Sedin
AGE:35
PO:0
OV:90
Justin Abdelkader
AGE:29
PO:0
OV:88
Jiri Hudler
AGE:32
PO:0
OV:87
Ondrej Palat
AGE:25
PO:0
OV:85
Michael Frolik
AGE:28
PO:0
OV:85
Colin Wilson
AGE:26
PO:0
OV:84
Joe Colborne
AGE:26
PO:0
OV:84
Craig Smith
AGE:27
PO:0
OV:83
Tomas Tatar
AGE:25
PO:0
OV:81
Johan Franzen
AGE:36
PO:0
OV:79
Jiri Sekac
AGE:24
PO:0
OV:75
Joakim Andersson
AGE:27
PO:0
OV:74
Seth Griffith
AGE:23
PO:0
OV:72
Carl Klingberg
AGE:25
PO:0
OV:62
David Krejci
AGE:30
PO:0
OV:92
Tomas Plekanec
AGE:33
PO:0
OV:91
Tyler Bozak
AGE:30
PO:0
OV:86
Colin Wilson
AGE:26
PO:0
OV:84
Joe Colborne
AGE:26
PO:0
OV:84
Craig Smith
AGE:27
PO:0
OV:83
Tomas Tatar
AGE:25
PO:0
OV:81
Johan Franzen
AGE:36
PO:0
OV:79
*William Karlsson
AGE:23
PO:0
OV:78
Mark Arcobello
AGE:28
PO:0
OV:77
Joakim Andersson
AGE:27
PO:0
OV:74
*Chandler Stephenson
AGE:22
PO:0
OV:65
Justin Abdelkader
AGE:29
PO:0
OV:88
Jiri Hudler
AGE:32
PO:0
OV:87
Michael Frolik
AGE:28
PO:0
OV:85
Colin Wilson
AGE:26
PO:0
OV:84
Joe Colborne
AGE:26
PO:0
OV:84
Craig Smith
AGE:27
PO:0
OV:83
Tomas Tatar
AGE:25
PO:0
OV:81
Chris Neil
AGE:37
PO:0
OV:79
Johan Franzen
AGE:36
PO:0
OV:79
Mark Arcobello
AGE:28
PO:0
OV:77
Défense #1
Défense #2
Gardien
Matt Niskanen
AGE:29
PO:0
OV:90
Ron Hainsey
AGE:35
PO:0
OV:88
Paul Martin
AGE:35
PO:0
OV:87
Tyson Barrie
AGE:25
PO:0
OV:87
Jared Spurgeon
AGE:26
PO:0
OV:86
Jeff Petry
AGE:28
PO:0
OV:86
Justin Braun
AGE:29
PO:0
OV:86
Nick Schultz
AGE:34
PO:0
OV:85
Andrew MacDonald
AGE:30
PO:0
OV:84
Luca Sbisa
AGE:26
PO:0
OV:81
Matt Irwin
AGE:28
PO:0
OV:79
Brandon Manning
AGE:26
PO:0
OV:78
Korbinian Holzer
AGE:28
PO:0
OV:77
Robert Bortuzzo
AGE:27
PO:0
OV:77
*Colin Miller
AGE:23
PO:0
OV:76
*Michael Matheson
AGE:22
PO:0
OV:75
*Stuart Percy
AGE:23
PO:0
OV:73
Matt Tennyson
AGE:26
PO:0
OV:72
Corey Crawford
AGE:31
PO:0
OV:98
Cam Ward
AGE:32
PO:0
OV:94
*Anders Nilsson
AGE:26
PO:0
OV:85
Tom McCollum
AGE:26
PO:0
OV:81
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
[2017-02-03 16:29:44] - TRADE : From Piranhas to Hellpepitos : William Karlsson (78). [2017-02-03 16:29:44] - TRADE : From Hellpepitos to Piranhas : Carl Soderberg (88). [2017-02-03 16:29:43] - William Karlsson was added to Hellpepitos. [2016-12-21 20:46:47] - TRADE : From Moose to Hellpepitos : Joe Colborne (84). [2016-12-21 20:46:47] - TRADE : From Hellpepitos to Moose : Joe Thornton (96). [2016-12-21 20:46:46] - Joe Colborne was added to Hellpepitos. [2016-12-21 06:08:56] - TRADE : From Hellpepitos to Moose : Joe Colborne (84), David Savard (87). [2016-12-21 06:08:56] - TRADE : From Moose to Hellpepitos : Tomas Tatar (81), Paul Martin (87), Y:2017-RND:2-COU. [2016-12-21 06:08:55] - Paul Martin was added to Hellpepitos. [2016-12-21 06:08:55] - Tomas Tatar was added to Hellpepitos. [2016-12-21 06:08:01] - TRADE : From Hellpepitos to Lycans : Travis Zajac (90), Y:2018-RND:1-HEL. [2016-12-21 06:08:01] - TRADE : From Lycans to Hellpepitos : Joe Colborne (84), Michael Frolik (85), Y:2017-RND:1-TIT. [2016-12-21 06:08:00] - Michael Frolik was added to Hellpepitos. [2016-12-21 06:08:00] - Joe Colborne was added to Hellpepitos. [2016-11-24 19:01:23] - TRADE : From Hellpepitos to Goblins : Julius Honka (P), Y:2017-RND:5-HEL. [2016-11-24 19:01:23] - TRADE : From Goblins to Hellpepitos : Michael Matheson (75). [2016-11-24 19:01:21] - Michael Matheson was added to Hellpepitos.