Ligue de Hockey Simulé du Saguenay

Marlies
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière Transactions
Blessure/Suspension
Client Web pour Formation
Client Web pour Lignes

Afficher ou Masquer des Colonnes

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Claude Giroux		X			100.00	80	44	86	87	86	84	90	89	82	92	87	77	88	87	80	40	43	85	2
2	Patrick Kane			X		100.00	84	33	81	85	84	91	85	92	74	84	84	78	95	82	85	32	43	83	2
3	Brayden Schenn	X				100.00	88	44	85	81	83	79	85	82	79	82	84	79	76	74	55	46	43	80	1
4	Ben Smith			X		100.00	87	33	79	79	80	84	80	80	70	80	78	78	72	75	68	29	43	77	1
5	Jake Guentzel		X			100.00	77	31	87	78	86	79	82	78	76	79	92	65	76	55	48	60	43	77	1
6	Logan Couture	X				100.00	74	39	86	76	79	76	77	79	77	79	81	75	79	72	53	32	43	76	1
7	Bo Horvat (R)	X				100.00	81	30	84	74	85	76	79	77	72	75	89	65	72	56	48	60	43	75	0
8	Andre Burakovsky (R)		X			100.00	68	30	76	83	76	79	74	85	71	76	76	72	86	50	45	61	43	74	0
9	Beau Bennett			X		100.00	75	33	71	83	78	75	71	78	70	74	77	69	76	61	60	36	43	73	0
10	Pontus Aberg (R)			X		100.00	72	36	84	75	87	71	71	73	77	78	82	60	71	57	50	50	43	73	0
11	Tim Schaller (R)		X			100.00	82	31	75	81	73	73	79	76	70	78	72	70	71	70	65	33	43	73	0
12	Hampus Lindholm				X	100.00	78	34	88	89	77	80	87	90	52	90	75	80	64	64	44	59	43	80	1
13	John Klingberg				X	100.00	75	43	90	85	80	86	87	86	63	85	79	74	76	74	46	49	43	79	1
14	Jon Merrill				X	100.00	77	25	92	84	76	86	84	80	58	81	73	89	70	65	48	45	43	79	1
15	Braydon Coburn				X	100.00	78	44	80	77	80	82	75	74	66	82	70	84	67	90	66	21	43	78	1
16	Ryan Parent				X	100.00	73	33	81	80	69	79	78	82	59	79	74	82	60	76	55	23	43	76	1
17	Zach Werenski (R)				X	100.00	68	37	81	91	63	62	79	89	37	90	65	76	52	52	43	77	43	74	0
Rayé
1	Patrice Cormier	X				100.00	71	34	83	72	77	83	72	75	76	79	74	76	66	60	52	35	43	73	0

	MOYENNE D'ÉQUIPE					100.00	77	35	83	81	79	79	80	81	68	81	78	75	73	68	56	44	43	77

Afficher ou Masquer des Colonnes

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	John Gibson	100.00	80	81	88	74	74	91	90	70	75	86	83	63	51	48	43	79	1
2	Martin Jones	100.00	76	84	71	74	76	79	75	80	86	80	72	67	67	33	43	78	1
Rayé

	MOYENNE D'ÉQUIPE	100.00	78	83	80	74	75	85	83	75	81	83	78	65	59	41	43	79

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Joel Quenneville	78	73	74	78	90	82	52	CAN	54	1	800,000$

Afficher ou Masquer des Colonnes

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Afficher ou Masquer des Colonnes

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou Masquer des Colonnes

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4
Andre Burakovsky	Maple Leafs	LW	21	1995-01-01	Yes	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,300,000$	1,300,000$	1,300,000$	1,300,000$	No
Beau Bennett	Maple Leafs	RW	25	1991-01-01	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	995,000$	995,000$	995,000$	995,000$	No
Ben Smith	Maple Leafs	RW	28	1988-01-01	No	207 Lbs	5 ft11	No	No	No	2	Pro Only	2,200,000$	2,200,000$	2,200,000$	2,200,000$	No	2,500,000$
Bo Horvat	Maple Leafs	C	21	1995-01-01	Yes	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	1,200,000$	No
Brayden Schenn	Maple Leafs	C	25	1991-01-01	No	190 Lbs	6 ft1	No	No	No	3	Pro Only	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No	3,000,000$	4,000,000$
Braydon Coburn	Maple Leafs	D	31	1985-01-01	No	220 Lbs	6 ft5	No	No	No	1	Pro Only	2,675,000$	2,675,000$	2,675,000$	2,675,000$	No
Claude Giroux	Maple Leafs	LW	28	1988-01-01	No	172 Lbs	5 ft11	No	No	No	2	Pro Only	7,000,000$	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$
Hampus Lindholm	Maple Leafs	D	22	1994-01-01	No	195 Lbs	6 ft3	No	No	No	3	Pro Only	4,750,000$	4,750,000$	4,750,000$	4,750,000$	No	5,750,000$	6,250,000$
Jake Guentzel	Maple Leafs	LW	22	1994-01-01	No	185 Lbs	5 ft9	No	No	No	1	Pro Only	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No
John Gibson	Maple Leafs	G	23	1993-01-01	No	226 Lbs	6 ft3	No	No	No	2	Pro Only	3,250,000$	3,250,000$	3,250,000$	3,250,000$	No	3,500,000$
John Klingberg	Maple Leafs	D	24	1992-01-01	No	180 Lbs	6 ft2	No	No	No	1	Pro Only	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No
Jon Merrill	Maple Leafs	D	24	1992-01-01	No	205 Lbs	6 ft3	No	No	No	2	Pro Only	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No	3,000,000$
Logan Couture	Maple Leafs	C	27	1989-01-01	No	195 Lbs	6 ft1	No	No	No	2	Pro Only	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No	2,750,000$
Martin Jones	Maple Leafs	G	26	1990-01-01	No	187 Lbs	6 ft4	No	No	No	2	Pro Only	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No	2,750,000$
Patrice Cormier	Maple Leafs	C	26	1990-01-01	No	215 Lbs	6 ft2	No	No	No	4	Pro Only	1,550,000$	1,550,000$	1,550,000$	1,550,000$	No	1,550,000$	1,550,000$	1,550,000$
Patrick Kane	Maple Leafs	RW	28	1988-01-01	No	178 Lbs	5 ft11	No	No	No	1	Pro Only	9,000,000$	9,000,000$	9,000,000$	9,000,000$	No
Pontus Aberg	Maple Leafs	RW	23	1993-01-01	Yes	189 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No
Ryan Parent	Maple Leafs	D	29	1987-01-01	No	198 Lbs	6 ft3	No	No	No	1	Pro Only	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No
Tim Schaller	Maple Leafs	LW	26	1990-01-01	Yes	206 Lbs	6 ft2	No	No	No	1	Pro Only	995,000$	995,000$	995,000$	995,000$	No
Zach Werenski	Maple Leafs	D	19	1997-01-01	Yes	212 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	500,000$	500,000$	500,000$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	24.90	196 Lbs	6 ft1	1.65	2,770,750$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
55,415,000$	31,800,000$	11,800,000$	1,550,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,	,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

Afficher ou Masquer des Colonnes

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
0	0	0.00%	0	0	0.00%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
0	0	0	0	0	0	0	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
0	0	0.00%	0	0	0.00%	0	0	0.00%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
0	0	0	0	0	0

Derniers Match Joués Afficher ou Masquer des Colonnes

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	RI	Lien

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	25	200
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
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	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	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$	55,415,000$	39,125,000$	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	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	63,495,783$	63,495,783$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
0$	60,000,000$	60,000,000$	-35,000,000$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Claude Giroux	AGE:28	PO:40	OV:85
Jake Guentzel	AGE:22	PO:60	OV:77
Andre Burakovsky (R)	AGE:21	PO:61	OV:74
Tim Schaller (R)	AGE:26	PO:33	OV:73
Nick Ritchie (R)	AGE:20	PO:66	OV:71
JT Compher (R)	AGE:21	PO:59	OV:70
Johan Larsson (R)	AGE:24	PO:39	OV:66
Tyler Benson (R)	AGE:18	PO:82	OV:60
Henri Ikonen (R)	AGE:21	PO:43	OV:60
Otto Koivula (R)	AGE:18	PO:72	OV:56

Brayden Schenn	AGE:25	PO:46	OV:80
Logan Couture	AGE:27	PO:32	OV:76
Bo Horvat (R)	AGE:21	PO:60	OV:75
Patrice Cormier	AGE:26	PO:35	OV:73
Pavel Zacha (R)	AGE:19	PO:76	OV:69
Colton Sissons (R)	AGE:23	PO:41	OV:69
Shane Prince (R)	AGE:24	PO:37	OV:66
Aleksi Saarela (R)	AGE:19	PO:76	OV:63
Logan Brown (R)	AGE:18	PO:83	OV:62
Jakob Forsbacka-Karlsson (R)	AGE:20	PO:56	OV:56
Zack MacEwen (R)	AGE:20	PO:45	OV:56

Patrick Kane	AGE:28	PO:32	OV:83
Ben Smith	AGE:28	PO:29	OV:77
Pontus Aberg (R)	AGE:23	PO:50	OV:73
Beau Bennett	AGE:25	PO:36	OV:73
Linden Vey (R)	AGE:25	PO:37	OV:71
Justin Bailey (R)	AGE:21	PO:57	OV:69
Nicholas Baptiste (R)	AGE:21	PO:55	OV:68
Mathieu Olivier (R)	AGE:19	PO:70	OV:60
Jaden Lindo (R)	AGE:20	PO:55	OV:54
Radovan Bondra (R)	AGE:19	PO:53	OV:50

Défense #1

Défense #2

Gardien

Hampus Lindholm	AGE:22	PO:59	OV:80
John Klingberg	AGE:24	PO:49	OV:79
Jon Merrill	AGE:24	PO:45	OV:79
Braydon Coburn	AGE:31	PO:21	OV:78
Ryan Parent	AGE:29	PO:23	OV:76
Zach Werenski (R)	AGE:19	PO:77	OV:74
Haydn Fleury (R)	AGE:20	PO:60	OV:72
Tim Erixon (R)	AGE:25	PO:36	OV:72

Neal Pionk (R)	AGE:21	PO:61	OV:71
Brett Pesce (R)	AGE:22	PO:47	OV:70
Jeff Corbett (R)	AGE:22	PO:46	OV:65
Lucas Carlsson (R)	AGE:19	PO:75	OV:62
Dennis Gilbert (R)	AGE:20	PO:50	OV:59
Brycen Martin (R)	AGE:20	PO:56	OV:56
Simon Bourque (R)	AGE:19	PO:58	OV:48

John Gibson	AGE:23	PO:48	OV:79
Martin Jones	AGE:26	PO:33	OV:78
Malcolm Subban	AGE:23	PO:47	OV:73
Charlie Lindgren	AGE:23	PO:57	OV:68
Jamie Phillips	AGE:23	PO:35	OV:64

Éspoirs

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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

Choix au Repêchage

Année	R1	R2	R3	R4	R5
2
3
4
5
6

[2021-11-26 8:04:39 PM] - Patrice Cormier was added to Maple Leafs.
[2021-11-20 9:39:09 AM] - Marlies hired Peter DeBoer for $666,000 for 4 year(s).
[2021-11-09 7:50:20 PM] - Al Montoya was released.
[2021-11-09 7:50:20 PM] - Maple Leafs paid $0 to release Al Montoya.
[2021-11-09 7:50:01 PM] - Dany Heatley was released.
[2021-11-09 7:50:01 PM] - Maple Leafs paid $0 to release Dany Heatley.
[2021-11-09 7:49:46 PM] - Conner Bleackley was released.
[2021-11-09 7:49:46 PM] - Maple Leafs paid $0 to release Conner Bleackley.
[2021-11-09 7:49:36 PM] - Mitchell Moroz was released.
[2021-11-09 7:49:36 PM] - Maple Leafs paid $0 to release Mitchell Moroz.
[2021-11-09 7:49:24 PM] - Shane Sims was released.
[2021-11-09 7:49:24 PM] - Maple Leafs paid $0 to release Shane Sims.
[2021-11-09 7:49:13 PM] - Blake Comeau was released.
[2021-11-09 7:49:13 PM] - Maple Leafs paid $0 to release Blake Comeau.
[2021-09-26 4:01:12 PM] - TRADE : From Capitals to Maple Leafs : Y:5-RND:2-Was.
[2021-09-26 4:00:55 PM] - TRADE : From Capitals to Maple Leafs : Y:4-RND:2-Was.
[2021-09-26 4:00:39 PM] - TRADE : From Panthers to Maple Leafs : Y:3-RND:3-Flo.
[2021-09-26 4:00:23 PM] - TRADE : From Red Wings to Maple Leafs : Y:2-RND:3-Det.
[2021-09-26 4:00:10 PM] - TRADE : From Senateurs to Maple Leafs : Y:2-RND:1-Ott.
[2021-09-26 3:53:43 PM] - TRADE : From Maple Leafs to Kings : Y:2-RND:1-TOR.
[2021-09-26 3:25:35 PM] - TRADE : From Maple Leafs to Blues : Y:2-RND:2-TOR.
[2021-09-26 10:20:17 AM] - Maple Leafs hired Joel Quenneville for $800,000 for 1 year(s).

[2021-11-26 8:23:00 PM] -$1,550,000 was added to Maple Leafs bank account.
[2021-11-26 8:04:39 PM] Patrice Cormier was added to Maple Leafs.
[2021-11-20 9:39:09 AM] Marlies hired Peter DeBoer for $666,000 for 4 year(s).
[2021-11-09 7:50:20 PM] Al Montoya was released by Maple Leafs.
[2021-11-09 7:50:20 PM] Maple Leafs paid $0 to release Al Montoya.
[2021-11-09 7:50:01 PM] Dany Heatley was released by Maple Leafs.
[2021-11-09 7:50:01 PM] Maple Leafs paid $0 to release Dany Heatley.
[2021-11-09 7:49:46 PM] Conner Bleackley was released by Maple Leafs.
[2021-11-09 7:49:46 PM] Maple Leafs paid $0 to release Conner Bleackley.
[2021-11-09 7:49:36 PM] Mitchell Moroz was released by Maple Leafs.
[2021-11-09 7:49:36 PM] Maple Leafs paid $0 to release Mitchell Moroz.
[2021-11-09 7:49:24 PM] Shane Sims was released by Maple Leafs.
[2021-11-09 7:49:24 PM] Maple Leafs paid $0 to release Shane Sims.
[2021-11-09 7:49:13 PM] Blake Comeau was released by Maple Leafs.
[2021-11-09 7:49:13 PM] Maple Leafs paid $0 to release Blake Comeau.
[2021-10-27 8:58:13 PM] Auto Roster Function has been run for Maple Leafs.
[2021-10-20 7:07:05 PM] $65,045,783 was added to Maple Leafs bank account.
[2021-10-20 7:06:49 PM] -$10,000,000 was added to Maple Leafs bank account.
[2021-09-26 4:01:12 PM] TRADE : From Capitals to Maple Leafs : Y:5-RND:2-Was.
[2021-09-26 4:00:55 PM] TRADE : From Capitals to Maple Leafs : Y:4-RND:2-Was.
[2021-09-26 4:00:39 PM] TRADE : From Panthers to Maple Leafs : Y:3-RND:3-Flo.
[2021-09-26 4:00:23 PM] TRADE : From Red Wings to Maple Leafs : Y:2-RND:3-Det.
[2021-09-26 4:00:10 PM] TRADE : From Senateurs to Maple Leafs : Y:2-RND:1-Ott.
[2021-09-26 3:53:43 PM] TRADE : From Maple Leafs to Kings : Y:2-RND:1-TOR.
[2021-09-26 3:25:35 PM] TRADE : From Maple Leafs to Blues : Y:2-RND:2-TOR.
[2021-09-26 10:20:17 AM] Maple Leafs hired Joel Quenneville for $800,000 for 1 year(s).

Pas de Blessure ou de Suspension.

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	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

	Maple Leafs
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Pascal Landry \| Morale : 40 \| Moyenne d'Équipe : 77