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
, , , Mikael Granlund, Patric Hornqvist, Joel Armia, Joel Armia, Mikkel Boedker, Markus Granlund, Adam Lowry, Tim Schaller
Lignes de Défense Perso. en Prol.
, , Roman Polak, Dmitry Orlov, Tyler Myers
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
85
60
35
20
180
Assistance
236,115
195,290
76,592
157,389
38,457
Attendance PCT
95.98%
95.26%
93.40%
95.97%
93.80%
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
17167 - 95.37%
1,618,574$
66,361,526$
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
82,120,931$
80,364,832$
70,114,832$
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
80,364,832$
82,120,931$
0$
21
1
Éstimation
Revenus de la Saison Éstimés
Jours Restants de la Saison
Dépenses Par Jour
Dépenses de la Saison Éstimées
0$
1
571,629$
571,629$
Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées
Cap Salarial de la Saison Éstimé
Compte Bancaire Actuel
Compte Bancaire Projeté
571,629$
81,862,957$
13,400,842$
12,829,213$
Charte de Profondeur
Ailier Gauche
Centre
Ailier Droit
Brian Boyle
AGE:33
PO:76
OV:74
Patric Hornqvist
AGE:31
PO:77
OV:71
Mikael Granlund
AGE:26
PO:75
OV:71
Adam Lowry
AGE:25
PO:72
OV:68
Mikkel Boedker
AGE:28
PO:69
OV:68
Tim Schaller
AGE:27
PO:66
OV:68
Reid Boucher
AGE:24
PO:72
OV:67
Sam Bennett
AGE:22
PO:70
OV:66
*Jesperi Kotkaniemi
AGE:17
PO:68
OV:64
Josh Leivo
AGE:25
PO:68
OV:64
Stefan Noesen
AGE:25
PO:65
OV:62
Matt Read
AGE:32
PO:63
OV:61
Peter Cehlarik
AGE:23
PO:67
OV:60
Brett Sutter
AGE:31
PO:64
OV:59
Hampus Gustafsson
AGE:24
PO:54
OV:54
Auston Matthews
AGE:20
PO:84
OV:75
Brian Boyle
AGE:33
PO:76
OV:74
Mikael Granlund
AGE:26
PO:75
OV:71
Markus Granlund
AGE:25
PO:73
OV:68
Adam Lowry
AGE:25
PO:72
OV:68
Tim Schaller
AGE:27
PO:66
OV:68
Vladimir Sobotka
AGE:30
PO:68
OV:67
Sam Bennett
AGE:22
PO:70
OV:66
*Jesperi Kotkaniemi
AGE:17
PO:68
OV:64
Sam Carrick
AGE:26
PO:68
OV:63
T.J. Tynan
AGE:26
PO:65
OV:62
*Brooks Macek
AGE:26
PO:67
OV:61
*Logan Brown
AGE:20
PO:65
OV:61
Matt Read
AGE:32
PO:63
OV:61
Emil Pettersson
AGE:24
PO:63
OV:60
Brett Sutter
AGE:31
PO:64
OV:59
Rourke Chartier
AGE:22
PO:61
OV:57
Landon Ferraro
AGE:26
PO:59
OV:56
Hampus Gustafsson
AGE:24
PO:54
OV:54
Brent Burns
AGE:33
PO:76
OV:77
Brian Boyle
AGE:33
PO:76
OV:74
Patric Hornqvist
AGE:31
PO:77
OV:71
Mikael Granlund
AGE:26
PO:75
OV:71
Joel Armia
AGE:25
PO:74
OV:70
Markus Granlund
AGE:25
PO:73
OV:68
Mikkel Boedker
AGE:28
PO:69
OV:68
Reid Boucher
AGE:24
PO:72
OV:67
Steve Bernier
AGE:33
PO:66
OV:66
Josh Leivo
AGE:25
PO:68
OV:64
Stefan Noesen
AGE:25
PO:65
OV:62
T.J. Tynan
AGE:26
PO:65
OV:62
Yannick Weber
AGE:29
PO:59
OV:62
*Brooks Macek
AGE:26
PO:67
OV:61
Matt Read
AGE:32
PO:63
OV:61
Landon Ferraro
AGE:26
PO:59
OV:56
Défense #1
Défense #2
Gardien
Brent Burns
AGE:33
PO:76
OV:77
Brian Boyle
AGE:33
PO:76
OV:74
Dmitry Orlov
AGE:26
PO:66
OV:73
Roman Polak
AGE:32
PO:64
OV:73
*Cale Makar
AGE:19
PO:70
OV:72
Tyler Myers
AGE:28
PO:66
OV:72
Niklas Kronwall
AGE:37
PO:65
OV:70
*Miro Heiskanen
AGE:18
PO:68
OV:68
Tim Schaller
AGE:27
PO:66
OV:68
Jacob Larsson
AGE:21
PO:61
OV:65
Jacob MacDonald
AGE:25
PO:62
OV:64
Yannick Weber
AGE:29
PO:59
OV:62
Joey LaLeggia
AGE:26
PO:61
OV:61
Matt Irwin
AGE:30
PO:58
OV:61
Matt Tennyson
AGE:28
PO:56
OV:61
*Logan Stanley
AGE:20
PO:55
OV:60
Andrew Campbell
AGE:30
PO:53
OV:60
Rob O'Gara
AGE:24
PO:53
OV:58
Vincent LoVerde
AGE:29
PO:52
OV:57
Tuukka Rask
AGE:31
PO:79
OV:76
Jack Campbell
AGE:26
PO:78
OV:73
*Mitch Gillam
AGE:25
PO:68
OV:64
John Muse
AGE:29
PO:65
OV:62
Zane McIntyre
AGE:25
PO:59
OV:59
Jake Paterson
AGE:24
PO:46
OV:48
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
Andrew Miller
Penguins
Benoit Pouliot
Penguins
Blake Heinrich
Penguins
2013
145
Brendan De Jong
Penguins
2017
196
Brett Davis
Penguins
2017
175
Graeme Clarke
Penguins
2019
99
Hugo Alnefelt
Penguins
2019
101
IVAN FEDOTOV
Penguins
2015
187
Jack Malone
Penguins
2019
193
Jamie McBain
Penguins
John Beecher
Penguins
2019
41
Kody Clark
Penguins
2018
65
Mackenze Stewart
Penguins
2014
192
Marian Gaborik
Penguins
Matej Machovsky
Penguins
Samuel Fagemo
Penguins
2019
52
Shane Prince
Penguins
Simon Johansson
Penguins
2018
166
Spencer Knight
Penguins
2019
11
TATE OLSON
Penguins
2015
195
Vincent Desharnais
Penguins
2016
198
Choix au Repêchage
Année
R1
R2
R3
R4
R5
R6
R7
R8
2020
PIT
PIT
PIT COL
PIT
COL PIT FLA
PIT
2021
PIT
PIT
PIT
PIT
PIT
PIT
PIT
PIT
2022
PIT
PIT
PIT
PIT
PIT
PIT
PIT
PIT
2023
PIT
PIT
PIT
PIT
PIT
PIT
PIT
PIT
2024
PIT
PIT
PIT
PIT
PIT
PIT
PIT
PIT
[2020-04-06 17:04:52] - New Record for Team's Most Shots (49) in 1 Game for Penguins! [2020-02-13 20:35:35] - New Record for Team's Most Shots Blocked (26) in 1 Game for Penguins! [2020-02-10 20:03:09] - TRADE : From Panthers to Penguins : Y:2020-RND:4-COL, Y:2020-RND:6-FLA. [2020-02-10 20:03:09] - TRADE : From Penguins to Panthers : Marcus Foligno (68), Y:2020-RND:7-PIT. [2019-11-30 12:21:22] - Cale Makar was added to Penguins. [2019-09-30 18:15:46] - Niklas Kronwall has been selected as assistant for Penguins. [2019-09-30 18:15:46] - Brent Burns is no longer as assistant for Penguins. [2019-09-30 18:15:46] - Brent Burns has been selected as captain for Penguins. [2019-09-30 18:15:46] - Unknown Player is no longer captain for Penguins. [2019-09-22 11:35:10] - TRADE : From Wild to Penguins : Adam Lowry (69), Y:2020-RND:6-COL. [2019-09-22 11:35:10] - TRADE : From Penguins to Wild : Keaton Middleton (59), IAKOV TRENIN (P), Y:2020-RND:3-PIT. [2019-09-10 15:28:35] - Brooks Macek signed with Penguins for 900 000 $ for 1 year(s) / Option : No Trade. [2019-09-10 15:28:35] - Brooks Macek was added to Penguins. [2019-09-10 15:26:22] - John Muse signed with Penguins for 1 000 000 $ for 1 year(s) / Option : No Trade. [2019-09-10 15:26:22] - John Muse was added to Penguins. [2019-09-10 15:25:26] - Kevin Porter signed with Penguins for 900 000 $ for 1 year(s) / Option : No Trade. [2019-09-10 15:25:26] - Kevin Porter was added to Penguins. [2019-09-10 15:25:10] - Greg Carey signed with Penguins for 1 000 000 $ for 1 year(s) / Option : No Trade. [2019-09-10 15:25:10] - Greg Carey was added to Penguins. [2019-09-08 15:33:56] - Seattle Thunderbirds hired Dave Hakstol for 60 000 $ for 1 year(s). [2019-09-08 15:24:35] - Emil Pettersson signed with Penguins for 700 000 $ for 1 year(s). [2019-09-08 15:24:35] - Emil Pettersson was added to Penguins. [2019-09-08 15:24:24] - Rob O'Gara signed with Penguins for 700 000 $ for 1 year(s). [2019-09-08 15:24:24] - Rob O'Gara was added to Penguins. [2019-09-08 15:24:14] - Stefan Noesen signed with Penguins for 1 500 000 $ for 1 year(s). [2019-09-08 15:24:14] - Stefan Noesen was added to Penguins.
[2020-04-27 19:39:11] Auston Matthews from Penguins is back from Exhaustion.
[2020-04-27 19:39:11] Brian Boyle from Penguins is back from Exhaustion.
[2020-04-27 19:39:11] Brent Burns from Penguins is back from Exhaustion.
[2020-04-27 19:35:22] Penguins are expected to be under the minimum salary cap by 3 576 043 $!
[2020-04-27 19:35:16] Auston Matthews from Penguins is injured from Exhaustion.
[2020-04-27 19:35:16] Brian Boyle from Penguins is injured from Exhaustion.
[2020-04-27 19:35:16] Brent Burns from Penguins is injured from Exhaustion.
[2020-04-23 16:06:28] Successfully loaded Penguins lines done with STHS Client - 3.2.1.1
[2020-04-23 16:06:28] Jacob Larsson of Penguins was sent down to farm.
[2020-04-20 16:05:53] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2020-04-20 16:05:49] Auto Lines Function has been run for Penguins.
[2020-04-20 16:03:40] Auto Lines Function has been run for Penguins.
[2020-04-20 16:03:40] Auto Roster Partial Function has been run for Penguins.
[2020-04-20 16:03:40] Jacob Larsson of Penguins was sent to pro.
[2020-04-15 17:04:45] Penguins lines for next game are empty. Current rosters/lines are not erased. But, Seattle Thunderbirds lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2020-04-15 17:04:45] Last 7 Days Pro Star : 1 - Auston Matthews of Penguins (5-4-9) / 2 - Logan Couture of Maple Leafs (3-7-10) / 3 - Nikolaj Ehlers of Maple Leafs (6-1-7)
[2020-04-15 17:04:44] Sam Carrick from Seattle Thunderbirds has scored a Hat Trick!
[2020-04-15 17:04:43] Game 1160 - Cale Makar from Penguins is injured (Broken Ribs) and is out for 3 weeks.
[2020-04-15 16:54:47] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-04-14 17:33:51] Penguins lines for next game are empty. Current rosters/lines are not erased. But, Seattle Thunderbirds lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2020-04-14 17:27:12] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-04-14 17:27:12] Auto Lines Function has been run for Penguins.
[2020-04-11 10:13:26] Brent Burns from Penguins is back from Exhaustion.
[2020-04-11 10:10:13] Auto Lines Function has been run for Penguins.
[2020-04-09 17:13:13] Brent Burns from Penguins is injured from Exhaustion.
[2020-04-09 17:09:46] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-04-08 16:33:13] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-04-06 17:07:19] Yannick Weber from Seattle Thunderbirds is back from Upper Body Injury.
[2020-04-06 17:04:52] New Record for Team's Most Shots (49) in 1 Game for Penguins!
[2020-04-03 21:42:58] Auto Lines Function has been run for Seattle Thunderbirds.