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
David Backes, Evgeny Kuznetsov, Gabriel Landeskog, Mark Stone, Jussi Jokinen
Gardien
#1 : Cam Talbot, #2 : Jonas Gustavsson
Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,
Lignes de Défense Perso. en Prol.
, , , ,
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
Date
Matchup
Result
Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1
Niveau 2
Niveau 3
Niveau 4
Luxe
Capacité de l'Aréna
7330
3858
4822
1929
1350
Prix des Billets
101
58
37
26
210
Assistance
0
0
0
0
0
Attendance PCT
0.00%
0.00%
0.00%
0.00%
0.00%
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
0 - 0.00%
0$
0$
19289
100
Dépenses
Salaire Total des Joueurs
Salaire Total Moyen des Joueurs
Salaire des Coachs
Valeur du Cap Salarial Spécial
60,100,000$
6,500,000$
0$
0$
Dépenses Annuelles à Ce Jour
Cap Salarial Par Jour
Cap salarial à ce jour
Taxe de Luxe Totale
0$
0$
0$
0$
Éstimation
Revenus de la Saison Éstimés
Jours Restants de la Saison
Dépenses Par Jour
Dépenses de la Saison Éstimées
0$
0
0$
0$
Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées
Cap Salarial de la Saison Éstimé
Compte Bancaire Actuel
Compte Bancaire Projeté
0$
0$
20,838,540$
20,838,540$
Charte de Profondeur
Ailier Gauche
Centre
Ailier Droit
Gabriel Landeskog
AGE:23
PO:0
OV:72
Jussi Jokinen
AGE:33
PO:0
OV:71
Jaden Schwartz
AGE:24
PO:0
OV:69
Brock Nelson
AGE:25
PO:0
OV:69
Cody Eakin
AGE:25
PO:0
OV:68
Jason Zucker
AGE:24
PO:0
OV:64
Matt Calvert
AGE:26
PO:0
OV:64
*Nikolay Goldobin
AGE:21
PO:0
OV:55
*Vladislav Kamenev
AGE:20
PO:0
OV:54
*Dominik Simon
AGE:22
PO:0
OV:53
Carter Bancks
AGE:27
PO:0
OV:52
Connor Jones
AGE:26
PO:0
OV:50
Pierre-Luc Letourneau-Leblond
AGE:31
PO:0
OV:50
David Backes
AGE:32
PO:0
OV:74
Evgeny Kuznetsov
AGE:24
PO:0
OV:73
Nick Bjugstad
AGE:24
PO:0
OV:70
Jaden Schwartz
AGE:24
PO:0
OV:69
Brock Nelson
AGE:25
PO:0
OV:69
Vincent Trocheck
AGE:23
PO:0
OV:68
Cody Eakin
AGE:25
PO:0
OV:68
Marcus Kruger
AGE:26
PO:0
OV:63
*Vladislav Kamenev
AGE:20
PO:0
OV:54
*Dominik Simon
AGE:22
PO:0
OV:53
*Christoph Bertschy
AGE:22
PO:0
OV:52
Connor Jones
AGE:26
PO:0
OV:50
Andrew Cherniwchan
AGE:27
PO:0
OV:49
David Backes
AGE:32
PO:0
OV:74
Gabriel Landeskog
AGE:23
PO:0
OV:72
Jussi Jokinen
AGE:33
PO:0
OV:71
Mark Stone
AGE:24
PO:0
OV:71
Jaden Schwartz
AGE:24
PO:0
OV:69
Brock Nelson
AGE:25
PO:0
OV:69
Vincent Trocheck
AGE:23
PO:0
OV:68
Jason Zucker
AGE:24
PO:0
OV:64
Matt Calvert
AGE:26
PO:0
OV:64
*Brett Ritchie
AGE:23
PO:0
OV:58
*Hudson Fasching
AGE:21
PO:0
OV:56
*Justin Bailey
AGE:25
PO:0
OV:55
*Nikolay Goldobin
AGE:21
PO:0
OV:55
*Christoph Bertschy
AGE:22
PO:0
OV:52
Brant Harris
AGE:27
PO:0
OV:50
Pierre-Luc Letourneau-Leblond
AGE:31
PO:0
OV:50
Andrew Cherniwchan
AGE:27
PO:0
OV:49
Défense #1
Défense #2
Gardien
John Klingberg
AGE:24
PO:0
OV:75
T.J. Brodie
AGE:26
PO:0
OV:75
Roman Polak
AGE:30
PO:0
OV:71
Michael Del Zotto
AGE:26
PO:0
OV:70
Jake McCabe
AGE:23
PO:0
OV:67
Mark Fayne
AGE:29
PO:0
OV:67
Justin Falk
AGE:28
PO:0
OV:64
Erik Gustafsson
AGE:24
PO:0
OV:62
Chris Breen
AGE:26
PO:0
OV:54
Harrison Ruopp
AGE:23
PO:0
OV:50
*Josiah Didier
AGE:23
PO:0
OV:50
Mike Cornell
AGE:28
PO:0
OV:49
Cam Talbot
AGE:29
PO:0
OV:79
Jonas Gustavsson
AGE:32
PO:0
OV:73
Joni Ortio
AGE:25
PO:0
OV:69
*Leland Irving
AGE:28
PO:0
OV:64
Connor Knapp
AGE:26
PO:0
OV:62
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
Éspoir
Nom de l'Équipe
Année de Repêchage
Choix Total
Information
Lien
Alexander Dergachyov
Flames
2015
88
Andre Petersson
Flames
Andrew Mangiapane
Flames
2014
220
Anthony Richard
Flames
2015
73
Ben Hanowski
Flames
Colin Suellentrop
Flames
2011
140
Deven Sideroff
Flames
2015
156
Hardy Haman-Aktell
Flames
2016
155
Henrik Bjorklund
Flames
Jakob Stenqvist
Flames
2016
116
James Greenway
Flames
2016
86
Jim Slater
Flames
Jonas Junland
Flames
Julius Vahatalo
Flames
2014
203
Juuso Puustinen
Flames
Logan Pyett
Flames
Luca Caputi
Flames
Ludvig Rensfeldt
Flames
Marcus Högberg
Flames
2013
67
Markus Lauridsen
Flames
Matthew Grzelcyk
Flames
2012
165
Michael Dal Colle
Flames
2014
3
Mitch Wahl
Flames
Nick Larson
Flames
Nick Palmieri
Flames
Nick Petersen
Flames
Rasmus Andersson
Flames
2015
36
Robin Kovacs
Flames
2015
76
Rudolfs Balcers
Flames
2015
175
Sam Jardine
Flames
2011
189
Spencer Bennett
Flames
Terry Broadhurst
Flames
Travis Konecny
Flames
2015
8
Troy Terry
Flames
2015
126
Vladimir Bobylyov
Flames
2015
232
William Lagesson
Flames
2014
153
Yassin Cisse
Flames
Zach Pochiro
Flames
2013
220
Choix au Repêchage
Année
R1
R2
R3
R4
R5
R6
R7
2017
CGY
CGY
BUF CGY
CGY
BOS CGY
CGY
2018
CGY
CGY
CGY
CGY
CGY
CGY
CGY
2019
CGY
CGY
CGY
CGY
CGY
CGY
CGY
2020
CGY
CGY
CGY
CGY
CGY
CGY
CGY
2021
CGY
CGY
CGY
CGY
CGY
CGY
CGY
[12.09.2016 4:56:30] - Jonas Gustavsson was added to Flames. [12.09.2016 4:56:30] - Jonas Gustavsson signed with Flames for 1 400 000 Kč for 2 year(s) with 0 Kč in bonus. [19.09.2016 5:38:42] - Flames drafts James Greenway as the #86 overall pick in the Entry Draft of year 2016. [19.09.2016 5:45:36] - TRADE : From Islanders to Flames : Y:2016-RND:4-CGY, Y:2016-RND:6-NYI. [19.09.2016 5:45:36] - TRADE : From Flames to Islanders : Y:2016-RND:4-ANA. [22.09.2016 7:46:12] - Mark Fayne was added to Flames. [22.09.2016 7:46:12] - Mark Fayne signed with Flames for 2 000 000 Kč for 3 year(s) with 0 Kč in bonus. [24.09.2016 5:30:33] - Flames drafts Jakob Stenqvist as the #116 overall pick in the Entry Draft of year 2016. [24.09.2016 5:55:41] - Heat hired Pascal Vincent for 100 000 Kč for 5 year(s). [26.09.2016 6:31:09] - Flames paid 0 Kč to release Johan Sundstrom. [26.09.2016 6:31:09] - Johan Sundstrom was released. [02.10.2016 7:20:28] - Flames drafts Hardy Haman-Aktell as the #155 overall pick in the Entry Draft of year 2016. [08.10.2016 6:12:42] - TRADE : From Flames to Ducks : Andrew Ference (64), 2 000 000 Kč (Money). [15.10.2016 7:44:18] - Mike Cornell was added to Flames. [15.10.2016 7:44:18] - Mike Cornell signed with Flames for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus. [15.10.2016 7:46:41] - Andrew Cherniwchan was added to Flames. [15.10.2016 7:46:41] - Andrew Cherniwchan signed with Flames for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus. [15.10.2016 7:46:54] - Pierre-Luc Letourneau-Leblond was added to Flames. [15.10.2016 7:46:54] - Pierre-Luc Letourneau-Leblond signed with Flames for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus. [15.10.2016 7:47:08] - Connor Jones was added to Flames. [15.10.2016 7:47:08] - Connor Jones signed with Flames for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus. [15.10.2016 7:47:25] - Brant Harris was added to Flames. [15.10.2016 7:47:25] - Brant Harris signed with Flames for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.