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, Conor Garland, Teddy Blueger, Bryan Little, Brandon Saad
Gardien
#1 : Mikko Koskinen, #2 : Anton Khudobin
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
6000
5000
2000
4000
1000
Prix des Billets
160
78
45
35
260
Assistance
12,000
10,000
4,000
8,000
2,000
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
3
18000 - 100.00%
2,741,600$
5,483,200$
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$
71,810,555$
67,435,555$
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$
20
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$
-31,914,023$
-31,914,023$
Charte de Profondeur
Ailier Gauche
Centre
Ailier Droit
Brandon Saad
AGE:27
PO:78
OV:0
Oskar Lindblom
AGE:23
PO:78
OV:0
Nikolaj Ehlers
AGE:24
PO:78
OV:0
Ondrej Palat
AGE:29
PO:76
OV:0
Conor Garland
AGE:24
PO:75
OV:0
Tyler Ennis
AGE:30
PO:74
OV:0
Nick Paul
AGE:25
PO:71
OV:0
*Joel Farabee
AGE:20
PO:69
OV:0
Ryan Dzingel
AGE:28
PO:69
OV:0
Tyson Jost
AGE:22
PO:68
OV:0
*Alexander Volkov
AGE:22
PO:65
OV:0
Matthew Peca
AGE:27
PO:65
OV:0
Michael Dal Colle
AGE:24
PO:63
OV:0
Marko Dano
AGE:25
PO:57
OV:0
Jonathan Toews
AGE:32
PO:80
OV:0
Phillip Danault
AGE:27
PO:78
OV:0
Bryan Little
AGE:32
PO:77
OV:0
Nick Paul
AGE:25
PO:71
OV:0
Teddy Blueger
AGE:25
PO:71
OV:0
Jack Roslovic
AGE:23
PO:70
OV:0
Robert Thomas
AGE:20
PO:70
OV:0
Tyson Jost
AGE:22
PO:68
OV:0
Kevin Rooney
AGE:27
PO:66
OV:0
Matthew Peca
AGE:27
PO:65
OV:0
Filip Chlapik
AGE:23
PO:64
OV:0
Michael McLeod
AGE:22
PO:64
OV:0
Brandon Saad
AGE:27
PO:78
OV:0
Nikolaj Ehlers
AGE:24
PO:78
OV:0
Bryan Little
AGE:32
PO:77
OV:0
Conor Garland
AGE:24
PO:75
OV:0
Tyler Ennis
AGE:30
PO:74
OV:0
Jack Roslovic
AGE:23
PO:70
OV:0
Robert Thomas
AGE:20
PO:70
OV:0
Ryan Dzingel
AGE:28
PO:69
OV:0
*Alexander Volkov
AGE:22
PO:65
OV:0
Matthew Peca
AGE:27
PO:65
OV:0
Michael Dal Colle
AGE:24
PO:63
OV:0
Marko Dano
AGE:25
PO:57
OV:0
Défense #1
Défense #2
Gardien
Ryan Ellis
AGE:29
PO:75
OV:0
*Quinn Hughes
AGE:20
PO:69
OV:0
Jonas Brodin
AGE:26
PO:67
OV:0
Samuel Girard
AGE:22
PO:66
OV:0
Radko Gudas
AGE:30
PO:65
OV:0
Adam Larsson
AGE:27
PO:63
OV:0
Martin Marincin
AGE:28
PO:61
OV:0
*Dante Fabbro
AGE:22
PO:61
OV:0
Andreas Englund
AGE:24
PO:59
OV:0
Christian Jaros
AGE:24
PO:59
OV:0
Carl Dahlstrom
AGE:25
PO:57
OV:0
Christian Wolanin
AGE:25
PO:51
OV:0
Jake Dotchin
AGE:26
PO:51
OV:0
Anton Khudobin
AGE:34
PO:88
OV:0
Mikko Koskinen
AGE:31
PO:79
OV:0
Chris Driedger
AGE:26
PO:72
OV:0
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
[2020-06-27 11:45:42 AM] - Senators was eliminated at round 1 of year 2020. [2020-06-22 9:08:13 AM] - Senators didn't make playoff for year 2020. [2020-06-03 1:35:08 PM] - Senators hired Scott Gomez for $850,000 for 3 year(s). [2020-05-29 10:35:02 AM] - Ryan Ellis has been selected as assistant for Senators. [2020-05-29 10:35:02 AM] - Unknown Player is no longer as assistant for Senators. [2020-05-04 4:06:42 PM] - TRADE : From Senators to Flyers : Adam Fox, Nicklas Backstrom. [2020-05-04 4:06:42 PM] - TRADE : From Flyers to Senators : Phillip Danault, Oskar Lindblom. [2020-05-04 4:05:30 PM] - TRADE : From Senators to Canadiens : Alex DeBrincat, Petr Mrazek. [2020-05-04 4:05:30 PM] - TRADE : From Canadiens to Senators : Mikko Koskinen, Tyler Ennis, Y:2021-RND:1-MTL. [2020-04-28 8:47:14 AM] - Matthew Peca signed with Senators for $1,300,000 for 3 year(s). [2020-04-28 8:47:14 AM] - Matthew Peca was added to Senators. [2020-04-28 8:46:43 AM] - Kevin Rooney signed with Senators for $700,000 for 3 year(s). [2020-04-28 8:46:43 AM] - Kevin Rooney was added to Senators. [2020-04-24 5:20:05 PM] - TRADE : From Senators to Red Wings : Marcus Hogberg. [2020-04-24 4:59:05 PM] - Ondrej Palat signed with Senators for $5,300,000 for 3 year(s) / Signing Bonus of $6,000,000. [2020-04-24 4:59:05 PM] - Ondrej Palat was added to Senators. [2020-04-24 4:58:38 PM] - Martin Marincin signed with Senators for $700,000 for 3 year(s) / Signing Bonus of $1,000,000. [2020-04-24 4:58:38 PM] - Martin Marincin was added to Senators. [2020-04-24 4:52:00 PM] - Adam Larsson signed with Senators for $4,166,666 for 2 year(s) / Signing Bonus of $1,500,000. [2020-04-24 4:52:00 PM] - Adam Larsson was added to Senators. [2020-04-22 6:50:40 PM] - Marcus Hogberg was added to Senators. [2020-04-22 6:48:27 PM] - Alexander Volkov was added to Senators. [2020-04-19 9:53:59 PM] - Senators drafts Thimo Nickl as the #91 overall pick in the Entry Draft of year 2020. [2020-04-19 9:29:28 PM] - Senators drafts Sean Farrell as the #78 overall pick in the Entry Draft of year 2020. [2020-04-19 9:20:36 PM] - Senators drafts Samuel Knazko as the #71 overall pick in the Entry Draft of year 2020. [2020-04-19 8:38:17 PM] - Senators drafts Jan Bednar as the #49 overall pick in the Entry Draft of year 2020. [2020-04-19 8:34:35 PM] - Senators drafts Luke Evangelista as the #47 overall pick in the Entry Draft of year 2020. [2020-04-19 8:22:26 PM] - Senators drafts Tyson Foerster as the #41 overall pick in the Entry Draft of year 2020. [2020-04-19 8:12:14 PM] - Senators drafts Will Cuylle as the #37 overall pick in the Entry Draft of year 2020. [2020-04-19 7:52:25 PM] - Senators drafts Kaiden Guhle as the #27 overall pick in the Entry Draft of year 2020. [2020-04-19 7:04:48 PM] - Senators drafts Marco Rossi as the #5 overall pick in the Entry Draft of year 2020.
[2020-07-08 9:41:05 AM] Current fund for Senators is under $0.
[2020-07-07 11:04:28 AM] Current fund for Senators is under $0.
[2020-07-06 10:29:48 AM] Current fund for Senators is under $0.
[2020-07-05 9:44:37 AM] Current fund for Senators is under $0.
[2020-07-03 9:12:37 AM] Current fund for Senators is under $0.
[2020-07-02 10:12:11 AM] Current fund for Senators is under $0.
[2020-07-01 10:29:07 AM] Current fund for Senators is under $0.
[2020-06-30 1:08:18 PM] Current fund for Senators is under $0.
[2020-06-29 10:26:02 AM] Current fund for Senators is under $0.
[2020-06-27 11:46:59 AM] Current fund for Senators is under $0.
[2020-06-26 10:48:25 AM] Current fund for Senators is under $0.
[2020-06-25 11:45:58 AM] Current fund for Senators is under $0.
[2020-06-24 12:47:15 PM] Current fund for Senators is under $0.
[2020-06-23 11:51:28 AM] Current fund for Senators is under $0.
[2020-06-22 9:08:47 AM] Current fund for Senators is under $0.
[2020-06-18 10:02:56 AM] Current fund for Senators is under $0.
[2020-06-16 8:57:52 AM] Current fund for Senators is under $0.
[2020-06-16 8:57:11 AM] Successfully loaded Senators lines done with STHS Client - 3.2.0.5
[2020-06-15 9:53:59 AM] Current fund for Senators is under $0.
[2020-06-15 9:53:36 AM] Tyler Ennis of Senators was sent to farm.
[2020-06-15 9:53:36 AM] Adam Larsson from Senators completes suspension
[2020-06-15 9:53:26 AM] Auto Lines Function has been run for Senators.
[2020-06-15 9:53:26 AM] Senators lines errors : Normal line # 3 Defense #3 is empty.
PK line 1 Defense #1 is empty.
PK3 line 1 Defense #1 is empty.
[2020-06-15 9:53:26 AM] Auto Roster Partial Function has been run for Senators.
[2020-06-15 9:53:26 AM] Tyler Ennis of Senators was sent to pro.
[2020-06-15 9:53:26 AM] Senators roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required.
Some errors will be automatically fixed.
[2020-06-14 11:52:55 AM] Current fund for Senators is under $0. [2020-06-14 11:52:36 AM] Phillip Danault from Senators is back from Bruised Left Arm Injury. [2020-06-14 11:52:35 AM] Game 86 - Phillip Danault from Senators is injured (Bruised Left Arm) and is out for 2 days.
[2020-06-14 11:52:35 AM] Game 86 - Adam Larsson from Senators suspended for 1 game(s)
[2020-06-14 11:52:18 AM] Successfully loaded Senators lines done with STHS Client - 3.2.0.5
[2020-06-14 11:52:18 AM] Nick Paul of Senators was sent down to farm.
[2020-06-14 11:52:18 AM] Matthew Peca of Senators was sent to pro.
[2020-06-14 11:52:18 AM] Tyler Ennis of Senators was sent down to farm.
[2020-06-14 11:52:18 AM] Dante Fabbro of Senators was sent down to farm.
[2020-06-14 11:52:18 AM] Kevin Rooney of Senators was sent to pro.
[2020-06-13 11:25:51 AM] Current fund for Senators is under $0. [2020-06-13 11:22:17 AM] Samuel Girard from Senators is back from Strained Left Elbow Injury.
[2020-06-12 12:33:29 PM] Current fund for Senators is under $0.
[2020-06-11 10:15:21 AM] Current fund for Senators is under $0.