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
Jonathan Toews, Joe Pavelski, Ondrej Kase, Jaden Schwartz, Mark Letestu
Gardien
#1 : Sergei Bobrovsky, #2 : Andrei Vasilevskiy
Lignes d'Attaque Perso. en Prol.
Joe Pavelski, Jaden Schwartz, Jonathan Toews, Tyler Toffoli, Ondrej Kase, Max Domi, Max Domi, Miles Wood, Robby Fabbri, Colin Wilson, Mark Letestu
Lignes de Défense Perso. en Prol.
Keith Yandle, Colton Parayko, Cody Ceci, Nate Schmidt, Olli Maatta
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
6000
5000
2000
4000
1000
Prix des Billets
60
35
16
10
100
Assistance
42,000
35,000
14,000
28,000
7,000
Attendance PCT
100.00%
100.00%
100.00%
100.00%
100.00%
Revenus
Matchs à domicile Restants
Assistance Moyenne - %
Revenus Moyen par Match
Revenus Annuels à ce Jour
Capacité de l'Aréna
Popularité de l'Équipe
34
18000 - 100.00%
1,053,430$
7,374,010$
18000
100
Dépenses
Dépenses Annuelles à Ce Jour
Salaire Total des Joueurs
Salaire Total Moyen des Joueurs
Salaire des Coachs
Valeur du Cap Salarial Spécial
0$
77,235,833$
43,255,833$
0$
0$
Cap Salarial Par Jour
Cap salarial à ce jour
Taxe de Luxe Totale
Joueurs Inclut dans la Cap Salariale
Joueurs Exclut dans la Cap Salariale
0$
0$
0$
21
0
Éstimation
Revenus de la Saison Éstimés
Jours Restants de la Saison
Dépenses Par Jour
Dépenses de la Saison Éstimées
0$
2
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$
2,035,648$
2,035,648$
Charte de Profondeur
Ailier Gauche
Centre
Ailier Droit
Joe Pavelski
AGE:33
PO:79
OV:76
Jaden Schwartz
AGE:26
PO:82
OV:73
Max Domi
AGE:23
PO:69
OV:70
Tyler Toffoli
AGE:26
PO:76
OV:69
Ondrej Kase
AGE:22
PO:75
OV:69
Miles Wood
AGE:22
PO:72
OV:66
Colin Wilson
AGE:28
PO:66
OV:66
Robby Fabbri
AGE:22
PO:73
OV:65
Oskar Lindblom
AGE:21
PO:65
OV:65
Matt Puempel
AGE:25
PO:68
OV:64
Barclay Goodrow
AGE:25
PO:68
OV:63
Marko Dano
AGE:23
PO:63
OV:60
Hunter Shinkaruk
AGE:23
PO:63
OV:59
*Julien Nantel
AGE:21
PO:56
OV:55
Turner Elson
AGE:25
PO:58
OV:54
Brendan Woods
AGE:26
PO:53
OV:51
*Vincent Dunn
AGE:22
PO:51
OV:51
*Jeremiah Addison
AGE:21
PO:55
OV:50
Joe Pavelski
AGE:33
PO:79
OV:76
Jonathan Toews
AGE:30
PO:78
OV:76
Max Domi
AGE:23
PO:69
OV:70
Tyler Toffoli
AGE:26
PO:76
OV:69
Mark Letestu
AGE:33
PO:69
OV:69
Mike Fisher
AGE:38
PO:69
OV:68
Colin Wilson
AGE:28
PO:66
OV:66
Robby Fabbri
AGE:22
PO:73
OV:65
Nick Cousins
AGE:24
PO:69
OV:65
Barclay Goodrow
AGE:25
PO:68
OV:63
Andrew Agozzino
AGE:27
PO:63
OV:60
Chase Balisy
AGE:26
PO:63
OV:60
*Mitch Hults
AGE:23
PO:63
OV:59
*Julien Nantel
AGE:21
PO:56
OV:55
Brendan Woods
AGE:26
PO:53
OV:51
*Vincent Dunn
AGE:22
PO:51
OV:51
Joe Pavelski
AGE:33
PO:79
OV:76
Jaden Schwartz
AGE:26
PO:82
OV:73
Tyler Toffoli
AGE:26
PO:76
OV:69
Ondrej Kase
AGE:22
PO:75
OV:69
Mark Letestu
AGE:33
PO:69
OV:69
Miles Wood
AGE:22
PO:72
OV:66
Robby Fabbri
AGE:22
PO:73
OV:65
Barclay Goodrow
AGE:25
PO:68
OV:63
Daniel Sprong
AGE:21
PO:68
OV:62
Ryan Haggerty
AGE:25
PO:66
OV:62
Marko Dano
AGE:23
PO:63
OV:60
JC Lipon
AGE:24
PO:61
OV:58
Défense #1
Défense #2
Gardien
Keith Yandle
AGE:31
PO:71
OV:77
Colton Parayko
AGE:25
PO:70
OV:75
Cody Ceci
AGE:24
PO:68
OV:75
Nate Schmidt
AGE:26
PO:67
OV:72
Olli Maatta
AGE:23
PO:66
OV:70
Robert Hagg
AGE:23
PO:64
OV:69
Cody Franson
AGE:30
PO:61
OV:65
*Victor Mete
AGE:19
PO:59
OV:61
Kurtis MacDermid
AGE:24
PO:58
OV:60
*Mitchell Vande Sompel
AGE:21
PO:58
OV:59
*Frederic Allard
AGE:20
PO:58
OV:58
Joe Hicketts
AGE:22
PO:53
OV:57
Maxim Lamarche
AGE:25
PO:50
OV:55
Dysin Mayo
AGE:21
PO:51
OV:54
Matt MacKenzie
AGE:26
PO:47
OV:51
Sergei Bobrovsky
AGE:29
PO:88
OV:82
Andrei Vasilevskiy
AGE:23
PO:84
OV:80
Anthony Peters
AGE:27
PO:56
OV:57
Jamie Phillips
AGE:25
PO:56
OV:56
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
Adam Mascherin
Golden Seals
2016
30
Brandon Baddock
Golden Seals
2014
176
Dane Birks
Golden Seals
2013
164
Daniil Tarasov
Golden Seals
2017
100
Danila Zhuravlyov
Golden Seals
2018
100
GIORGIO ESTEPHAN
Golden Seals
2015
145
Jacob Friend
Golden Seals
2016
210
Jacob Ingham
Golden Seals
2018
172
Jan Drozg
Golden Seals
2017
130
Jason Robertson
Golden Seals
2017
30
Jeremy Morin
Golden Seals
Jonatan Berggren
Golden Seals
2018
22
Jordan Hollett
Golden Seals
2017
190
Leon Gawanke
Golden Seals
2017
160
Liam Kirk
Golden Seals
2018
134
Lukas Elvenes
Golden Seals
2017
70
Mathias From
Golden Seals
2016
120
Michael Schumacher
Golden Seals
Nick Suzuki
Golden Seals
2017
10
Niklas Nordgren
Golden Seals
2018
34
Oskar Steen
Golden Seals
2016
130
Patrick Harper
Golden Seals
2016
180
Peter Quenneville
Golden Seals
2013
195
RYAN BEDNARD
Golden Seals
2015
205
Ryan Olsen
Golden Seals
Taylor Cammarata
Golden Seals
2013
74
Terrance Amorosa
Golden Seals
2013
134
Toni Utunen
Golden Seals
2018
108
Tyler Soy
Golden Seals
2016
150
Tyler Tucker
Golden Seals
2018
202
William Bitten
Golden Seals
2016
55
Zachary Gallant
Golden Seals
2017
106
Choix au Repêchage
Année
R1
R2
R3
R4
R5
R6
R7
R8
2019
COL CLF
CLF OTT NJD
CLF
CLF
CLF
CLF
CLF
CLF
2020
CLF
CLF
CLF
CLF
CLF
CLF
CLF
CLF
2021
CLF
CLF
CLF
CLF
CLF
CLF
CLF
CLF
2022
CLF
CLF
CLF
CLF
CLF
CLF
CLF
CLF
2023
CLF
CLF
CLF
CLF
CLF
CLF
CLF
CLF
[2019-05-06 08:40:38] - Golden Seals was eliminated at round 2 of year 2018. [2019-04-26 16:16:34] - Lake Erie Monsters was eliminated at round 1 of year 2018. [2019-02-23 08:01:38] - New Record for Team's Most Points (23) in 1 Game for Golden Seals! [2019-02-23 08:01:38] - New Record for Team's Most Assists (15) in 1 Game for Golden Seals! [2019-02-16 21:21:03] - Patrik Elias has been deleted from Golden Seals. [2019-02-16 14:12:46] - Steve Downie has been deleted from Golden Seals. [2019-02-16 14:10:34] - Martin Havlat has been deleted from Golden Seals. [2019-02-16 14:10:08] - Jonas Gunnarsson has been deleted from Golden Seals. [2019-02-16 14:09:18] - Joel Rumpel has been deleted from Golden Seals. [2019-02-16 14:07:12] - igor bobkov has been deleted from Golden Seals. [2019-02-16 14:06:14] - Eric Hartzell has been deleted from Golden Seals. [2019-02-16 14:05:26] - Eetu Laurikainen has been deleted from Golden Seals. [2019-02-16 14:03:48] - Derek Hulak has been deleted from Golden Seals. [2019-02-16 14:00:55] - Jani Hakanpaa has been deleted from Golden Seals. [2019-02-16 13:58:25] - Luke Moffatt has been deleted from Golden Seals. [2019-02-16 13:52:59] - Michael St. Croix has been deleted from Golden Seals. [2019-01-03 15:44:20] - New Record for Team's Most Shots Blocked (25) in 1 Game for Golden Seals! [2018-12-11 19:38:14] - Oskar Lindblom has been selected as captain for Lake Erie Monsters. [2018-12-11 19:38:14] - Unknown Player is no longer captain for Lake Erie Monsters. [2018-12-06 20:04:38] - Daniel Sprong has been selected as assistant for Lake Erie Monsters. [2018-12-06 20:04:38] - Unknown Player is no longer as assistant for Lake Erie Monsters. [2018-12-06 20:04:38] - Oskar Lindblom has been selected as captain for Lake Erie Monsters. [2018-12-06 20:04:38] - Unknown Player is no longer captain for Lake Erie Monsters. [2018-10-08 11:20:16] - Barclay Goodrow has been selected as assistant for Lake Erie Monsters. [2018-10-08 11:20:16] - Hunter Shinkaruk is no longer as assistant for Lake Erie Monsters. [2018-10-08 11:20:16] - Victor Mete has been selected as assistant for Lake Erie Monsters. [2018-10-08 11:20:16] - Unknown Player is no longer as assistant for Lake Erie Monsters. [2018-10-08 11:20:16] - Matt Puempel has been selected as captain for Lake Erie Monsters. [2018-10-08 11:20:16] - Unknown Player is no longer captain for Lake Erie Monsters. [2018-09-21 16:29:40] - Matt Puempel signed with Golden Seals for 675 000 $ for 2 year(s) with 0 $ in bonus. [2018-09-21 16:29:40] - Matt Puempel was added to Golden Seals. [2018-09-21 16:29:29] - Jamie Phillips signed with Golden Seals for 550 000 $ for 1 year(s) with 0 $ in bonus. [2018-09-21 16:29:29] - Jamie Phillips was added to Golden Seals. [2018-09-21 16:29:19] - Brendan Woods signed with Golden Seals for 550 000 $ for 1 year(s) with 0 $ in bonus. [2018-09-21 16:29:19] - Brendan Woods was added to Golden Seals. [2018-09-21 16:29:08] - Matt MacKenzie signed with Golden Seals for 550 000 $ for 1 year(s) with 0 $ in bonus. [2018-09-21 16:29:08] - Matt MacKenzie was added to Golden Seals. [2018-09-21 16:28:56] - Turner Elson signed with Golden Seals for 550 000 $ for 1 year(s) with 0 $ in bonus. [2018-09-21 16:28:56] - Turner Elson was added to Golden Seals. [2018-09-21 16:28:43] - Maxim Lamarche signed with Golden Seals for 550 000 $ for 1 year(s) with 0 $ in bonus. [2018-09-21 16:28:43] - Maxim Lamarche was added to Golden Seals. [2018-09-21 16:27:35] - Miles Wood signed with Golden Seals for 2 200 000 $ for 1 year(s) with 0 $ in bonus. [2018-09-21 16:27:35] - Miles Wood was added to Golden Seals. [2018-09-10 18:53:50] - Hunter Shinkaruk has been selected as assistant for Lake Erie Monsters. [2018-09-10 18:53:50] - Unknown Player is no longer as assistant for Lake Erie Monsters.
[2019-05-03 16:05:36] Successfully loaded Golden Seals lines done with STHS Client - 3.1.6.6
[2019-05-01 16:17:08] Current fund for Golden Seals is under 0 $.
[2019-05-01 16:16:10] Successfully loaded Golden Seals lines done with STHS Client - 3.1.7.7
[2019-04-29 18:37:31] Current fund for Golden Seals is under 0 $.
[2019-04-29 18:34:27] Successfully loaded Golden Seals lines done with STHS Client - 3.1.7.7
[2019-04-26 16:17:23] Current fund for Golden Seals is under 0 $.
[2019-04-26 16:17:00] Current fund for Golden Seals is under 0 $.
[2019-04-26 16:16:34] Nate Schmidt from Golden Seals is back from Right Hip Injury.
[2019-04-26 16:16:34] Game 43 - Nate Schmidt from Golden Seals is injured (Right Hip) and is out for 1 days.
[2019-04-25 17:24:10] Current fund for Golden Seals is under 0 $.
[2019-04-25 17:22:32] Current fund for Golden Seals is under 0 $.
[2019-04-25 17:00:53] Successfully loaded Golden Seals lines done with STHS Client - 3.1.6.6
[2019-04-24 16:15:19] Current fund for Golden Seals is under 0 $.
[2019-04-24 16:13:56] Current fund for Golden Seals is under 0 $.
[2019-04-23 15:13:16] Current fund for Golden Seals is under 0 $.
[2019-04-23 15:12:41] Mitch Hults from Lake Erie Monsters is back from Left Leg Injury.
[2019-04-23 15:12:40] Game 24 - Mitch Hults from Lake Erie Monsters is injured (Left Leg) and is out for 5 days.
[2019-04-23 15:12:20] Successfully loaded Golden Seals lines done with STHS Client - 3.1.6.6
[2019-04-22 16:49:19] Current fund for Golden Seals is under 0 $.
[2019-04-22 16:48:46] Current fund for Golden Seals is under 0 $.
[2019-04-19 15:19:56] Current fund for Golden Seals is under 0 $.
[2019-04-19 15:19:10] Current fund for Golden Seals is under 0 $.
[2019-04-19 14:55:56] Current fund for Golden Seals is under 0 $.
[2019-04-19 14:53:18] Successfully loaded Golden Seals lines done with STHS Client - 3.1.7.7
[2019-04-18 15:09:21] Current fund for Golden Seals is under 0 $.
[2019-04-17 17:31:51] Current fund for Golden Seals is under 0 $.
[2019-04-16 15:19:18] Current fund for Golden Seals is under 0 $.
[2019-04-15 14:38:10] Current fund for Golden Seals is under 0 $.
[2019-04-15 14:34:24] Current fund for Golden Seals is under 0 $.
[2019-04-12 14:21:39] Current fund for Golden Seals is under 0 $.
[2019-04-12 14:20:48] Current fund for Golden Seals is under 0 $.
[2019-04-11 20:17:03] Current fund for Golden Seals is under 0 $.
[2019-04-11 20:16:33] Current fund for Golden Seals is under 0 $.
[2019-04-10 09:19:25] Current fund for Golden Seals is under 0 $.
[2019-04-09 16:14:12] Current fund for Golden Seals is under 0 $.
[2019-04-09 16:13:03] Current fund for Golden Seals is under 0 $.
[2019-04-08 21:10:30] Current fund for Golden Seals is under 0 $.
[2019-04-08 20:54:28] Current fund for Golden Seals is under 0 $.
[2019-04-08 20:43:49] Last 7 Days Farm Star : 1 - Jordan Greenway of Victoriaville Tigres (7-5-12) / 2 - Matt Read of Seattle Thunderbirds (4-9-13) / 3 - Oskar Lindblom of Lake Erie Monsters (7-2-9)
[2019-04-05 14:22:01] Current fund for Golden Seals is under 0 $.
[2019-04-05 14:21:10] Current fund for Golden Seals is under 0 $.
[2019-04-04 13:09:44] Current fund for Golden Seals is under 0 $.