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
Joe Pavelski, Patrick Kane, Aleksander Barkov, James van Riemsdyk, Blake Comeau
Gardien
#1 : Anton Khudobin, #2 : Ben Bishop
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
7151
3764
4705
1882
1317
Prix des Billets
90
55
35
25
180
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$
18819
100
Dépenses
Salaire Total des Joueurs
Salaire Total Moyen des Joueurs
Salaire des Coachs
Valeur du Cap Salarial Spécial
65,800,000$
14,540,000$
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$
32,632,141$
32,632,141$
Charte de Profondeur
Ailier Gauche
Centre
Ailier Droit
James van Riemsdyk
AGE:28
PO:0
OV:71
Blake Comeau
AGE:31
PO:0
OV:69
*Nikolaj Ehlers
AGE:21
PO:0
OV:68
Steve Ott
AGE:35
PO:0
OV:64
Drew Miller
AGE:33
PO:0
OV:63
Ryan Dzingel
AGE:25
PO:0
OV:63
Andreas Martinsen
AGE:27
PO:0
OV:62
Chad Nehring
AGE:30
PO:0
OV:55
Cole Ully
AGE:22
PO:0
OV:53
Garrett Thompson
AGE:27
PO:0
OV:53
Mark McNeill
AGE:24
PO:0
OV:53
Matt Mangene
AGE:28
PO:0
OV:53
Marc Hagel
AGE:29
PO:0
OV:51
Austin Fyten
AGE:26
PO:0
OV:50
Alex Krushelnyski
AGE:26
PO:0
OV:50
Domenic Monardo
AGE:29
PO:0
OV:50
Danny Hobbs
AGE:28
PO:0
OV:50
Patrick Kane
AGE:28
PO:0
OV:76
Joe Pavelski
AGE:33
PO:0
OV:76
Aleksander Barkov
AGE:22
PO:0
OV:72
Steve Ott
AGE:35
PO:0
OV:64
Ryan Dzingel
AGE:25
PO:0
OV:63
Nic Dowd
AGE:27
PO:0
OV:62
Jordan Schroeder
AGE:27
PO:0
OV:59
Chase Balisy
AGE:25
PO:0
OV:58
*Blake Coleman
AGE:25
PO:0
OV:57
Chad Nehring
AGE:30
PO:0
OV:55
Mark McNeill
AGE:24
PO:0
OV:53
Matt Mangene
AGE:28
PO:0
OV:53
Marc Hagel
AGE:29
PO:0
OV:51
Austin Fyten
AGE:26
PO:0
OV:50
Domenic Monardo
AGE:29
PO:0
OV:50
Danny Hobbs
AGE:28
PO:0
OV:50
Chris DeSousa
AGE:26
PO:0
OV:47
Patrick Kane
AGE:28
PO:0
OV:76
Joe Pavelski
AGE:33
PO:0
OV:76
Blake Comeau
AGE:31
PO:0
OV:69
*Nikolaj Ehlers
AGE:21
PO:0
OV:68
Steve Ott
AGE:35
PO:0
OV:64
Drew Miller
AGE:33
PO:0
OV:63
Ryan Dzingel
AGE:25
PO:0
OV:63
Andreas Martinsen
AGE:27
PO:0
OV:62
Jordan Schroeder
AGE:27
PO:0
OV:59
Chase Balisy
AGE:25
PO:0
OV:58
Colin McDonald
AGE:33
PO:0
OV:55
Chad Nehring
AGE:30
PO:0
OV:55
Cole Ully
AGE:22
PO:0
OV:53
Mark McNeill
AGE:24
PO:0
OV:53
Matt Mangene
AGE:28
PO:0
OV:53
Marc Hagel
AGE:29
PO:0
OV:51
Austin Fyten
AGE:26
PO:0
OV:50
Domenic Monardo
AGE:29
PO:0
OV:50
Danny Hobbs
AGE:28
PO:0
OV:50
Défense #1
Défense #2
Gardien
Mark Giordano
AGE:34
PO:0
OV:78
Paul Martin
AGE:36
PO:0
OV:73
Sami Vatanen
AGE:26
PO:0
OV:72
Justin Braun
AGE:30
PO:0
OV:71
*Damon Severson
AGE:23
PO:0
OV:70
*Anthony DeAngelo
AGE:21
PO:0
OV:67
Ben Chiarot
AGE:25
PO:0
OV:67
*Robert Hagg
AGE:22
PO:0
OV:59
*Ben Harpur
AGE:22
PO:0
OV:57
Darren Dietz
AGE:24
PO:0
OV:54
Justin Holl
AGE:25
PO:0
OV:54
*Jacob Middleton
AGE:21
PO:0
OV:53
Jan Kostalek
AGE:22
PO:0
OV:52
*Sam Jardine
AGE:24
PO:0
OV:50
*Nick Seeler
AGE:24
PO:0
OV:49
Ben Bishop
AGE:30
PO:0
OV:78
Anton Khudobin
AGE:31
PO:0
OV:72
*Mason McDonald
AGE:21
PO:0
OV:56
*Daniel Vladar
AGE:20
PO:0
OV:55
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
Anthony Cirelli
Maple Leafs
2015
112
Blake Kessel
Maple Leafs
Brendan O'Donnell
Maple Leafs
Brett Howden
Maple Leafs
2016
19
Calle Andersson
Maple Leafs
Chaz Reddekopp
Maple Leafs
2015
215
Chris Martenet
Maple Leafs
2015
119
Conor Timmins
Maple Leafs
2017
27
Eemeli Rasanen
Maple Leafs
2017
47
Eetu Tuulola
Maple Leafs
2016
79
Eric Knodel
Maple Leafs
Eric Roy
Maple Leafs
2013
128
Evan Cowley
Maple Leafs
2013
173
Fredrik Pettersson-Wentzel
Maple Leafs
Gabriel Beaupre
Maple Leafs
Greg Scott
Maple Leafs
Jeremy Lauzon
Maple Leafs
2015
56
Joe Basaraba
Maple Leafs
John Westin
Maple Leafs
Jonne Tammela
Maple Leafs
2015
179
Kailer Yamamoto
Maple Leafs
2017
24
Kelly Summers
Maple Leafs
2014
210
Marcel Muller
Maple Leafs
Markus Niemelainen
Maple Leafs
2016
60
Max Gardiner
Maple Leafs
Oskar Lindblom
Maple Leafs
2014
96
Pierre Engvall
Maple Leafs
2014
186
Ryan Donato
Maple Leafs
2014
49
Ryan Mantha
Maple Leafs
2014
156
Ukko-Pekka Luukkonen
Maple Leafs
2017
44
Vojtech Budik
Maple Leafs
2016
199
missed pick
Maple Leafs
2017
197
Choix au Repêchage
Année
R1
R2
R3
R4
R5
R6
R7
2018
CAR TOR
TOR
TOR
TOR
TOR
2019
TOR
TOR
TOR
TOR
TOR
TOR
TOR
2020
TOR
TOR
TOR
TOR
TOR
TOR
TOR
2021
TOR
TOR
TOR
TOR
TOR
TOR
TOR
2022
TOR
TOR
TOR
TOR
TOR
TOR
TOR
[08.10.2017 10:12:39] - Chris DeSousa was added to Maple Leafs. [08.10.2017 10:12:33] - Domenic Monardo was added to Maple Leafs. [08.10.2017 10:12:29] - Alex Krushelnyski was added to Maple Leafs. [08.10.2017 10:11:59] - Danny Hobbs was added to Maple Leafs. [08.10.2017 10:11:39] - TRADE : From Flames to Maple Leafs : Austin Fyten (50), Matt Mangene (53). [08.10.2017 10:11:38] - Matt Mangene was added to Maple Leafs. [08.10.2017 10:11:38] - Austin Fyten was added to Maple Leafs. [08.10.2017 10:10:41] - TRADE : From Flames to Maple Leafs : Colin McDonald (55), Garrett Thompson (53), Chad Nehring (55), Marc Hagel (51), Sam Jardine (50). [08.10.2017 10:10:39] - Sam Jardine was added to Maple Leafs. [08.10.2017 10:10:39] - Marc Hagel was added to Maple Leafs. [08.10.2017 10:10:39] - Chad Nehring was added to Maple Leafs. [08.10.2017 10:10:39] - Garrett Thompson was added to Maple Leafs. [08.10.2017 10:10:39] - Colin McDonald was added to Maple Leafs. [05.10.2017 6:00:08] - Maple Leafs drafts missed pick as the #197 overall pick in the Entry Draft of year 2017. [02.10.2017 8:37:13] - TRADE : From Maple Leafs to Lightning : Jakub Kindl (64). [01.10.2017 10:54:25] - Jakub Kindl signed with Maple Leafs for 900 000 Kč for 2 year(s) with 0 Kč in bonus. [01.10.2017 10:54:25] - Jakub Kindl was added to Maple Leafs. [16.09.2017 16:28:16] - Maple Leafs drafts Eemeli Rasanen as the #47 overall pick in the Entry Draft of year 2017. [16.09.2017 16:25:48] - Maple Leafs drafts Ukko-Pekka Luukkonen as the #44 overall pick in the Entry Draft of year 2017.