Profi League - Canadiens

Bulldogs
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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	Ryan Kesler	X				100.00	78	59	78	83	90	93	92	76	99	51	50	79	55	82	82	0	48	75	0
2	Tomas Plekanec (A)	X				100.00	65	42	82	83	64	89	99	83	92	54	48	71	50	81	92	0	48	72	0
3	Taylor Hall		X			100.00	68	43	79	96	75	91	80	90	63	54	53	61	56	78	78	0	48	72	0
4	Bobby Ryan		X	X		100.00	71	44	87	84	81	86	93	81	63	53	50	61	65	75	77	0	48	71	0
5	Lee Stempniak		X	X		100.00	71	44	83	81	79	87	87	79	62	50	49	70	60	81	82	0	48	71	0
6	Cody McLeod		X	X		100.00	84	99	57	73	79	73	97	66	61	39	43	67	99	75	77	0	44	67	0
7	Chris Higgins		X			100.00	59	42	86	83	71	78	74	67	61	40	41	68	73	77	81	0	48	65	0
8	Ben Smith	X	X	X		100.00	61	43	69	70	54	58	72	67	80	42	40	69	63	62	64	0	48	59	0
9	P.K. Subban (C)				X	100.00	77	55	70	95	82	98	99	91	25	55	44	79	50	81	86	0	48	78	0
10	Ryan McDonagh (A)				X	100.00	75	44	86	88	86	89	88	79	25	49	44	81	50	82	84	0	48	74	0
Rayé
1	Marian Gaborik		X	X		100.00	61	42	84	90	82	81	75	79	62	45	50	60	71	96	89	0	48	70	0
2	Sam Gagner	X	X	X		100.00	60	52	81	75	68	78	81	71	62	43	45	59	61	75	75	0	48	64	0
3	Tobias Lindberg (R)		X	X		100.00	65	75	71	64	57	54	60	58	75	38	35	62	50	44	44	0	54	54	0
4	Aaron Palushaj		X	X		100.00	58	68	60	72	52	54	60	57	68	34	35	56	50	52	52	0	54	53	0
5	Dustin Byfuglien		X	X	X	100.00	86	58	64	85	98	97	91	87	25	51	49	77	50	76	79	0	48	77	0
6	Zach Bogosian				X	100.00	79	65	71	82	84	89	79	73	25	47	43	78	90	79	71	0	48	71	0
7	Oscar Klefbom				X	100.00	67	43	88	87	77	88	71	77	25	45	43	77	50	70	70	0	48	69	0
8	Mark Borowiecki				X	100.00	95	99	62	74	77	69	79	68	25	39	38	79	50	60	61	0	48	66	0

	MOYENNE D'ÉQUIPE					100.00	71	57	75	81	75	81	82	75	55	46	44	70	61	74	75	0	48	68

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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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Carey Price	96.00	75	71	87	92	82	78	77	79	79	78	67	90	93	0	47	79	0
Rayé

	MOYENNE D'ÉQUIPE	96.00	75	71	87	92	82	78	77	79	79	78	67	90	93	0	47	79

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Craig Berube	60	64	61	67	61	58	50	CAN	60	4	1,000,000$

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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

#	Nom du Joueur	Nom de l'Équipe	#	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Bobby Ryan	Canadiens		LW/RW	4	2	1	3	2	0	0	6	8	3	6	25.00%	0	17.:.58	2	0	2	0	1	0	0	0.00%	2	3	1	0	0	0.83	0
2	Dustin Byfuglien	Canadiens		LW/RW/D	4	1	2	3	0	4	0	20	9	1	7	11.11%	12	26.:.06	0	1	1	0	11	0	0	25.00%	8	7	13	0	0	0.57	0
3	Marian Gaborik	Canadiens		LW/RW	4	2	1	3	1	2	0	3	12	5	3	16.67%	2	18.:.36	0	0	0	0	0	0	0	66.67%	3	11	0	0	0	0.81	0
4	Ryan Kesler	Canadiens		C	4	1	2	3	-1	0	0	3	10	4	4	10.00%	4	23.:.51	0	0	0	0	16	0	0	54.55%	99	4	2	0	0	0.63	0
5	Taylor Hall	Canadiens		LW	4	2	1	3	2	0	0	3	16	4	9	12.50%	3	21.:.14	0	1	1	0	16	1	0	66.67%	3	24	1	0	0	0.71	0
6	Ryan McDonagh	Canadiens		D	4	0	2	2	-4	0	0	2	5	5	2	0.00%	4	18.:.32	0	1	1	0	3	0	0	0.00%	0	3	8	0	0	0.54	0
7	Sam Gagner	Canadiens		C/LW/RW	4	2	0	2	-1	0	0	2	5	5	10	40.00%	1	15.:.25	0	0	0	0	0	0	0	29.73%	37	3	0	0	0	0.65	0
8	Tomas Plekanec	Canadiens		C	4	1	1	2	1	0	0	4	20	1	15	5.00%	0	19.:.28	0	0	0	0	1	0	0	55.36%	56	8	3	0	0	0.51	0
9	Chris Higgins	Canadiens		LW	4	0	1	1	0	0	0	0	0	1	0	0.00%	0	03.:.09	0	0	0	0	0	0	0	0.00%	2	0	0	0	0	1.58	0
10	Lee Stempniak	Canadiens		LW/RW	4	0	1	1	1	0	0	7	3	3	3	0.00%	3	18.:.37	0	0	0	0	0	0	0	50.00%	2	7	1	0	0	0.27	0
11	P.K. Subban	Canadiens		D	4	0	1	1	2	4	0	7	11	7	7	0.00%	10	23.:.06	0	0	0	0	11	0	0	0.00%	0	2	6	0	0	0.22	0
12	Ben Smith	Canadiens		C/LW/RW	4	0	1	1	-1	4	0	3	4	3	2	0.00%	0	15.:.33	0	0	0	0	0	0	0	33.33%	3	0	1	0	0	0.32	0
13	Oscar Klefbom	Canadiens		D	4	0	0	0	0	0	0	0	7	4	1	0.00%	1	11.:.06	0	0	0	0	0	0	0	0.00%	0	1	4	0	0	0.00	0
14	Zach Bogosian	Canadiens		D	4	0	0	0	-4	6	0	6	7	3	3	0.00%	2	18.:.19	0	0	0	0	2	0	0	0.00%	0	1	8	0	0	0.00	0
15	Cody McLeod	Canadiens		LW/RW	4	0	0	0	-2	46	20	8	4	1	0	0.00%	0	13.:.50	0	0	0	0	0	0	0	33.33%	3	3	1	0	0	0.00	0
16	Mark Borowiecki	Canadiens		D	4	0	0	0	1	2	0	1	0	1	0	0.00%	2	07.:.03	0	0	0	0	0	0	0	0.00%	0	1	2	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		64	11	14	25	-3	68	20	75	97	121	51	72	9.09%	44	1087	17.00	2	3	5	22	90	0	0	66	1	0	48.17%	218	78	51	0	0.46	0	0	0	1	3	1	1	1

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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

#	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
1	Carey Price	Canadiens	4	1	3	0	87.9%	4.07	221	2	0	15	124	73	0	0	0.0%	0	4	0	0	0	0
Stats d'équipe Total ou en Moyenne	4	1	3	0	0.879	4.07	221	2	0	15	124	73	0	0	0.000	0	4	0	0	0	0

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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

Nom du Joueur	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Aaron Palushaj	LW/RW	27	07.09.1989	No	187 Lbs	6 ft0	No	No	2	Pro & Farm	800,000$	0$	800,000$			Lien
Ben Smith	C/LW/RW	28	11.07.1988	No	199 Lbs	5 ft11	No	No	2	Pro Only	1,000,000$	0$	1,000,000$			Lien
Bobby Ryan	LW/RW	29	17.03.1987	No	207 Lbs	6 ft2	No	No	1	Pro & Farm	5,100,000$	0$				Lien
Carey Price	G	29	16.10.1987	No	216 Lbs	6 ft3	Yes	No	2	Pro & Farm	5,000,000$	0$	5,000,000$			Lien
Chris Higgins	LW	33	02.06.1983	No	205 Lbs	6 ft0	No	No	3	Pro & Farm	2,600,000$	0$	2,600,000$	2,600,000$		Lien
Cody McLeod	LW/RW	32	26.06.1984	No	210 Lbs	6 ft2	No	No	1	Pro Only	800,000$	0$				Lien
Dustin Byfuglien	LW/RW/D	31	27.03.1985	No	260 Lbs	6 ft5	No	No	4	Pro & Farm	5,700,000$	0$	5,700,000$	5,700,000$	5,700,000$	Lien
Lee Stempniak	LW/RW	33	04.02.1983	No	196 Lbs	5 ft11	No	No	2	Pro Only	1,400,000$	0$	1,400,000$			Lien
Marian Gaborik	LW/RW	34	14.02.1982	No	204 Lbs	6 ft1	No	No	2	Pro & Farm	3,000,000$	0$	3,000,000$			Lien
Mark Borowiecki	D	27	12.07.1989 14:39:40	No	205 Lbs	6 ft2	No	No	3	Pro Only	1,800,000$	0$	1,800,000$	1,800,000$		Lien
Oscar Klefbom	D	23	20.07.1993 3:29:05	No	210 Lbs	6 ft3	No	No	1	Pro & Farm	1,000,000$	0$				Lien
P.K. Subban	D	27	13.05.1989	No	214 Lbs	6 ft0	No	No	1	Pro & Farm	5,700,000$	0$				Lien
Ryan Kesler	C	32	31.08.1984	No	208 Lbs	6 ft2	No	No	3	Pro & Farm	5,000,000$	0$	5,000,000$	5,000,000$		Lien
Ryan McDonagh	D	27	13.06.1989	No	213 Lbs	6 ft1	No	No	3	Pro Only	4,800,000$	0$	4,800,000$	4,800,000$		Lien
Sam Gagner (Contrat à 1 Volet)	C/LW/RW	27	10.08.1989	No	202 Lbs	5 ft11	No	No	2	Pro & Farm	1,500,000$	0$	1,500,000$			Lien
Taylor Hall	LW	24	14.11.1991	No	198 Lbs	6 ft1	No	No	2	Pro & Farm	6,000,000$	0$	6,000,000$			Lien
Tobias Lindberg	LW/RW	21	22.07.1995 2:18:54	Yes	201 Lbs	6 ft2	No	No	3	Pro & Farm	900,000$	0$	900,000$	900,000$		Lien
Tomas Plekanec	C	33	31.10.1982	No	198 Lbs	5 ft11	No	No	2	Pro & Farm	4,500,000$	0$	4,500,000$			Lien
Zach Bogosian	D	26	15.07.1990	No	225 Lbs	6 ft3	No	No	1	Pro & Farm	3,000,000$	0$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
19	28.58	208 Lbs	6 ft1	2.1052631578947	3,136,842$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Ryan Kesler	Taylor Hall	Bobby Ryan	40	1	2	2
2		Chris Higgins		30	1	2	2
3	Tomas Plekanec		Lee Stempniak	20	1	2	2
4	Ben Smith	Cody McLeod		10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan McDonagh	P.K. Subban	40	1	2	2
2			30	1	2	2
3			20	1	2	2
4	P.K. Subban		10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Tomas Plekanec	Bobby Ryan	Taylor Hall	60	1	2	2
2	Ryan Kesler			40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	P.K. Subban		60	1	2	2
2	Ryan McDonagh		40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Tomas Plekanec	Cody McLeod	60	1	2	2
2	Ryan Kesler		40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2	Ryan McDonagh	P.K. Subban	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Tomas Plekanec	60	1	2	2		P.K. Subban	60	1	2	2
2	Ryan Kesler	40	1	2	2	Ryan McDonagh		40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Tomas Plekanec	Taylor Hall	60	1	2	2
2	Ryan Kesler	Bobby Ryan	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	P.K. Subban	Ryan McDonagh	60	1	2	2
2			40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Ryan Kesler	Taylor Hall	Bobby Ryan		P.K. Subban

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Tomas Plekanec	Chris Higgins		Ryan McDonagh

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tomas Plekanec, Taylor Hall, Bobby Ryan	Ryan Kesler, Taylor Hall	Chris Higgins

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, P.K. Subban, Ryan McDonagh		,

Tirs de Pénalité
Bobby Ryan, Taylor Hall, Ryan Kesler, P.K. Subban, Tomas Plekanec

Gardien
#1 : Carey Price, #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

#	VS Équipe	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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
1	Penguins	1	0	1	1	3	-2	0	0.000	1	1	2	0	1	0	30	5	6	19	35	13	8	18	2	0	0.00%	4	3	25.00%	41	77	53.25%	38	77	49.35%	26	64	40.63%	20	12	25	7	14	7
2	Bruins	1	0	1	2	5	-3	0	0.000	2	2	4	2	0	0	28	15	4	9	31	10	4	16	3	0	0.00%	2	2	0.00%	41	77	53.25%	38	77	49.35%	26	64	40.63%	20	13	21	8	17	8
3	Sabres	1	0	1	1	10	-9	0	0.000	1	1	2	1	0	0	33	13	10	10	34	11	29	19	1	0	0.00%	7	4	42.86%	41	77	53.25%	38	77	49.35%	26	64	40.63%	22	14	24	7	13	6
4	Coyotes	1	1	0	7	1	6	2	1.000	7	11	18	3	2	2	32	14	11	7	30	14	29	23	4	2	50.00%	2	0	100.00%	41	77	53.25%	38	77	49.35%	26	64	40.63%	26	17	17	7	15	8
	Vs Division	2	0	2	2	13	-11	0	0.000	2	2	4	1	1	0	63	18	16	29	69	24	37	37	3	0	0.00%	11	7	36.36%	41	77	53.25%	38	77	49.35%	26	64	40.63%	42	27	49	15	28	13
	Vs Conference	3	0	3	4	18	-14	0	0.000	4	4	8	3	1	0	91	33	20	38	100	34	41	53	6	0	0.00%	13	9	30.77%	41	77	53.25%	38	77	49.35%	26	64	40.63%	63	40	70	23	45	22
	Since Last GM Reset	4	1	3	11	19	-8	2	0.250	11	15	26	6	3	2	123	47	31	45	130	48	70	76	10	2	20.00%	15	9	40.00%	41	77	53.25%	38	77	49.35%	26	64	40.63%	90	58	88	30	61	30
	Total	4	1	3	11	19	-8	2	0.250	11	15	26	6	3	2	123	47	31	45	130	48	70	76	10	2	20.00%	15	9	40.00%	41	77	53.25%	38	77	49.35%	26	64	40.63%	90	58	88	30	61	30

			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
4	2	L2	11	15	26	123	130	48	70	76	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	11	19

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	8	11

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	3	8

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	3	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
10	2	20.00%	15	9	40.00%	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
47	31	45	0	6	3	2	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
41	77	53.25%	38	77	49.35%	26	64	40.63%

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
90	58	88	30	61	30

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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Tue, Apr 22	@	Sabres10,Canadiens1	RECAP
Wed, Apr 23	@	Coyotes1,Canadiens7	RECAP
Sat, Apr 26	@	Canadiens1,Penguins3	RECAP
Sun, Apr 27	@	Canadiens2,Bruins5	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	8084	4255	5318	2127	1489
Prix des Billets	93	50	32	25	195
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$	21273	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
59,600,000$	0$	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$	28,394,728$	28,394,728$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Dustin Byfuglien	AGE:31	PO:0	OV:77
Taylor Hall	AGE:24	PO:0	OV:72
Bobby Ryan	AGE:29	PO:0	OV:71
Lee Stempniak	AGE:33	PO:0	OV:71
Marian Gaborik	AGE:34	PO:0	OV:70
Cody McLeod	AGE:32	PO:0	OV:67
Dainius Zubrus	AGE:38	PO:0	OV:66
Chris Higgins	AGE:33	PO:0	OV:65
Sam Gagner	AGE:27	PO:0	OV:64
Ben Smith	AGE:28	PO:0	OV:59
Jacob De La Rose	AGE:21	PO:0	OV:58
Sean B. Collins	AGE:27	PO:0	OV:57
*Anton Slepyshev	AGE:22	PO:0	OV:54
*Tobias Lindberg	AGE:21	PO:0	OV:54
Brandon DeFazio	AGE:28	PO:0	OV:54
Aaron Palushaj	AGE:27	PO:0	OV:53
John Kurtz	AGE:27	PO:0	OV:48
Brett Gallant	AGE:27	PO:0	OV:47

Ryan Kesler	AGE:32	PO:0	OV:75
Tomas Plekanec	AGE:33	PO:0	OV:72
Sam Gagner	AGE:27	PO:0	OV:64
Ben Smith	AGE:28	PO:0	OV:59
Jacob De La Rose	AGE:21	PO:0	OV:58
Sean B. Collins	AGE:27	PO:0	OV:57
Gabriel Dumont	AGE:26	PO:0	OV:54

Dustin Byfuglien	AGE:31	PO:0	OV:77
Bobby Ryan	AGE:29	PO:0	OV:71
Lee Stempniak	AGE:33	PO:0	OV:71
Marian Gaborik	AGE:34	PO:0	OV:70
Cody McLeod	AGE:32	PO:0	OV:67
Sam Gagner	AGE:27	PO:0	OV:64
Danny Kristo	AGE:26	PO:0	OV:59
Ben Smith	AGE:28	PO:0	OV:59
Colin McDonald	AGE:32	PO:0	OV:58
*Max Gortz	AGE:23	PO:0	OV:55
*Anton Slepyshev	AGE:22	PO:0	OV:54
*Tobias Lindberg	AGE:21	PO:0	OV:54
*Scott Kosmachuk	AGE:22	PO:0	OV:54
Gabriel Dumont	AGE:26	PO:0	OV:54
Aaron Palushaj	AGE:27	PO:0	OV:53

Défense #1

Défense #2

Gardien

P.K. Subban	AGE:27	PO:0	OV:78
Dustin Byfuglien	AGE:31	PO:0	OV:77
Ryan McDonagh	AGE:27	PO:0	OV:74
Zach Bogosian	AGE:26	PO:0	OV:71
Oscar Klefbom	AGE:23	PO:0	OV:69
Ryan Murray	AGE:23	PO:0	OV:68

Mark Borowiecki	AGE:27	PO:0	OV:66
Greg Pateryn	AGE:26	PO:0	OV:65
Petter Granberg	AGE:24	PO:0	OV:59
*Michael Paliotta	AGE:23	PO:0	OV:55
Jared Nightingale	AGE:34	PO:0	OV:50
Mac Bennett	AGE:25	PO:0	OV:49

Carey Price	AGE:29	PO:0	OV:79
Yann Danis	AGE:35	PO:0	OV:67
Jeff Malcolm	AGE:27	PO:0	OV:64

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Alec Dillon	Canadiens	2014	165
Andreas Engqvist	Canadiens
Anton Belov	Canadiens
Ben Maxwell	Canadiens
Boris Katchouk	Canadiens	2016	24
Brad Morrison	Canadiens	2015	84
Brent Moran	Canadiens	2014	135
Christian Wolanin	Canadiens	2015	204
Elvis Merzlikins	Canadiens	2014	105
Emil Pettersson	Canadiens	2013	215
Jansen Harkins	Canadiens	2015	24
Jonathan Iilahti	Canadiens
Joonas Nattinen	Canadiens
Justin Sefton	Canadiens	2011	127
Kenton Helgesen	Canadiens	2014	195
Libor Hajek	Canadiens	2016	53
Louis Leblanc	Canadiens
Matt Cooke	Canadiens
Max Gaede	Canadiens
Michael Cichy	Canadiens
Michael McNiven	Canadiens	2015	174
Mike Weaver	Canadiens
Nikko Mikkola	Canadiens	2016	223
Niklas Svedberg	Canadiens
Olivier Archambault	Canadiens
Petteri Simila	Canadiens
Riley Stillman	Canadiens	2016	171
Robert Mayer	Canadiens
Roland McKeown	Canadiens	2014	29
Ryan Gropp	Canadiens	2015	51
Ryan MacInnis	Canadiens	2014	44
Ryan Russell	Canadiens
Sergei Kostitsyn	Canadiens
Tom Pyatt	Canadiens
Yaroslav Kosov	Canadiens	2011	157

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	MTL	MTL	MTL	MTL	MTL	MTL	MTL
2018	MTL	MTL	MTL	MTL	MTL	MTL	MTL
2019	MTL	MTL	MTL	MTL	MTL	MTL	MTL
2020	MTL	MTL	MTL	MTL	MTL	MTL	MTL
2021	MTL	MTL	MTL	MTL	MTL	MTL	MTL

[12.09.2016 4:50:07] - Canadiens drafts Libor Hajek as the #53 overall pick in the Entry Draft of year 2016.
[24.09.2016 5:41:40] - Bulldogs hired Sylvain Lefebvre for 100 000 Kč for 5 year(s).
[06.10.2016 6:58:59] - Canadiens drafts Riley Stillman as the #171 overall pick in the Entry Draft of year 2016.
[06.10.2016 6:59:41] - Canadiens drafts MISSED PICK as the #174 overall pick in the Entry Draft of year 2016.
[12.10.2016 6:39:05] - MISSED PICK has been deleted from Canadiens.
[12.10.2016 6:39:07] - Nikko Mikkola has been added to Canadiens.

Jeff Malcolm est dehors pour 1 jours à cause de Exhaustion.

Afficher ou Masquer des Colonnes

	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