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
Brandon Pirri, Radim Vrbata, Johnny Gaudreau, Drew Miller, Patrick Sharp
Gardien
#1 : Brian Elliott, #2 : Karri Ramo
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
Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1
Niveau 2
Niveau 3
Niveau 4
Luxe
Capacité de l'Aréna
7790
4100
5125
2050
1435
Prix des Billets
100
56
36
23
190
Assistance
39567
21727
27239
11906
8360
Attendance PCT
84.65%
88.32%
88.58%
96.80%
97.10%
Revenus
Matchs à domicile Restants
Assistance Moyenne - %
Revenus Moyen par Match
Revenus Annuels à ce Jour
Capacité de l'Aréna
Popularité de l'Équipe
35
18133 - 88.45%
2,045,766$
12,274,597$
20500
100
Dépenses
Salaire Total des Joueurs
Salaire Total Moyen des Joueurs
Salaire des Coachs
Valeur du Cap Salarial Spécial
64,300,000$
4,700,000$
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$
56,182,211$
56,182,211$
Charte de Profondeur
Ailier Gauche
Centre
Ailier Droit
Johnny Gaudreau
AGE:23
PO:0
OV:72
Wayne Simmonds
AGE:28
PO:0
OV:72
Patrick Sharp
AGE:35
PO:0
OV:71
Rickard Rakell
AGE:24
PO:0
OV:67
Benoit Pouliot
AGE:30
PO:0
OV:66
Michael Grabner
AGE:29
PO:0
OV:66
Erik Haula
AGE:26
PO:0
OV:65
Teuvo Teravainen
AGE:22
PO:0
OV:64
Brandon Pirri
AGE:26
PO:0
OV:64
Sven Baertschi
AGE:24
PO:0
OV:63
Drew Miller
AGE:33
PO:0
OV:62
Max Friberg
AGE:24
PO:0
OV:56
Scott Wilson
AGE:25
PO:0
OV:56
Nick Tarnasky
AGE:32
PO:0
OV:54
Tyler Brown
AGE:27
PO:0
OV:52
*Austin Carroll
AGE:23
PO:0
OV:51
Patrice Bergeron
AGE:31
PO:0
OV:77
Ryan Johansen
AGE:24
PO:0
OV:74
Rickard Rakell
AGE:24
PO:0
OV:67
Erik Haula
AGE:26
PO:0
OV:65
Teuvo Teravainen
AGE:22
PO:0
OV:64
Josh Jooris
AGE:26
PO:0
OV:61
Byron Froese
AGE:26
PO:0
OV:56
Scott Wilson
AGE:25
PO:0
OV:56
Tyler Brown
AGE:27
PO:0
OV:52
T.J. Tynan
AGE:25
PO:0
OV:51
Wayne Simmonds
AGE:28
PO:0
OV:72
Radim Vrbata
AGE:35
PO:0
OV:68
Rickard Rakell
AGE:24
PO:0
OV:67
Michael Grabner
AGE:29
PO:0
OV:66
Teuvo Teravainen
AGE:22
PO:0
OV:64
Brandon Pirri
AGE:26
PO:0
OV:64
Sven Baertschi
AGE:24
PO:0
OV:63
Drew Miller
AGE:33
PO:0
OV:62
Josh Jooris
AGE:26
PO:0
OV:61
Seth Griffith
AGE:24
PO:0
OV:57
*Riley Barber
AGE:23
PO:0
OV:57
Max Friberg
AGE:24
PO:0
OV:56
Scott Wilson
AGE:25
PO:0
OV:56
*Austin Carroll
AGE:23
PO:0
OV:51
Shawn O'Donnell
AGE:28
PO:0
OV:49
Daniel Maggio
AGE:26
PO:0
OV:48
Derek DeBlois
AGE:26
PO:0
OV:48
Défense #1
Défense #2
Gardien
Duncan Keith
AGE:33
PO:0
OV:76
Justin Faulk
AGE:25
PO:0
OV:76
Erik Johnson
AGE:29
PO:0
OV:74
Christopher Tanev
AGE:27
PO:0
OV:71
Nikita Zadorov
AGE:22
PO:0
OV:68
Nate Schmidt
AGE:25
PO:0
OV:68
*Jaccob Slavin
AGE:23
PO:0
OV:66
Jared Cowen
AGE:26
PO:0
OV:65
Korbinian Holzer
AGE:29
PO:0
OV:62
Victor Bartley
AGE:29
PO:0
OV:59
*Jordan Subban
AGE:22
PO:0
OV:54
Andrew MacWilliam
AGE:27
PO:0
OV:54
Kevin Gravel
AGE:25
PO:0
OV:53
*Mackenzie Weegar
AGE:23
PO:0
OV:52
*Zach Leslie
AGE:23
PO:0
OV:51
Daniel Maggio
AGE:26
PO:0
OV:48
Brian Elliott
AGE:32
PO:0
OV:79
Karri Ramo
AGE:30
PO:0
OV:74
Dustin Tokarski
AGE:27
PO:0
OV:66
Pheonix Copley
AGE:25
PO:0
OV:65
*Eric Comrie
AGE:21
PO:0
OV:65
Stephon Williams
AGE:24
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
Artur Gavrus
Blackhawks
2012
193
Clinston Franklin
Blackhawks
2014
216
Colin Stevens
Blackhawks
2015
167
Daniil Tarasov
Blackhawks
Derek Mathers
Blackhawks
Fabrice Herzog
Blackhawks
2013
136
Fredrik Olofsson
Blackhawks
2014
204
John Hayden
Blackhawks
2013
143
John Quenneville
Blackhawks
2014
51
Kent Simpson
Blackhawks
Kyle Jenkins
Blackhawks
2014
166
Ludvig Hoff
Blackhawks
2015
242
Lukas Vejdemo
Blackhawks
2015
148
Maxim Letunov
Blackhawks
2014
112
Pavel Karnaukhov
Blackhawks
2015
141
Rasmus Bengtsson
Blackhawks
2011
60
Sean Maguire
Blackhawks
2012
144
Sergei Kostenko
Blackhawks
Sergei Zborovskiy
Blackhawks
2015
122
Steffen Soberg
Blackhawks
2011
124
Thomas Chabot
Blackhawks
2015
28
William Bitten
Blackhawks
2016
30
Choix au Repêchage
Année
R1
R2
R3
R4
R5
R6
R7
2017
CHI PIT
CHI TOR
CHI
PIT NJD CHI
CHI
2018
CHI
CHI
CHI STL
CHI
CHI
CHI
CHI
2019
CHI
CHI
CHI
CHI
CHI
CHI
CHI
2020
CHI
CHI
CHI
CHI
CHI
CHI
CHI
2021
CHI
CHI
CHI
CHI
CHI
CHI
CHI
[15.10.2016 22:21:33] - Austin Carroll was added to Blackhawks. [15.10.2016 22:21:34] - TRADE : From Penguins to Blackhawks : Austin Carroll (51), Y:2017-RND:2-PIT. [15.10.2016 22:21:34] - TRADE : From Blackhawks to Penguins : Pascal Dupuis (67), Nikita Zaitsev (P), 2 000 000 Kč (Money). [15.10.2016 22:25:04] - Drew Miller was added to Blackhawks. [15.10.2016 22:25:05] - TRADE : From Blackhawks to Kings : Philippe Myers (P). [15.10.2016 22:25:05] - TRADE : From Kings to Blackhawks : Drew Miller (61), Y:2017-RND:3-TOR. [16.10.2016 22:56:05] - Tyler Brown was added to Blackhawks. [16.10.2016 22:56:05] - Tyler Brown signed with Blackhawks for 600 000 Kč for 2 year(s) with 0 Kč in bonus. [16.10.2016 22:56:17] - Andrew MacWilliam was added to Blackhawks. [16.10.2016 22:56:17] - Andrew MacWilliam signed with Blackhawks for 600 000 Kč for 2 year(s) with 0 Kč in bonus. [31.10.2016 21:13:39] - New Record for Team's Most Shots Blocked (24) in 1 Game for Blackhawks! [2.12.2016 20:41:57] - Nick Tarnasky was added to Blackhawks. [2.12.2016 20:41:57] - Nick Tarnasky signed with Blackhawks for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus. [12.2.2017 21:07:54] - Nate Schmidt was added to Blackhawks. [12.2.2017 21:07:55] - TRADE : From Blackhawks to Blues : Nikita Gusev (P). [12.2.2017 21:07:55] - TRADE : From Blues to Blackhawks : Nate Schmidt (68), Y:2018-RND:3-STL. [7.4.2017 20:43:42] - IceHogs was eliminated at round 1 of year 2016. [26.4.2017 22:18:10] - Blackhawks was eliminated at round 2 of year 2016.