Ligue de hockey Simulée Ste-Flanelle

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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	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	Jamie Benn (A)		X			100.00	66	56	77	83	73	81	94	83	83	82	84	72	47	54	45	0	88	75	0
2	Alexander Ovechkin (C)		X	X		100.00	78	35	79	80	86	81	94	80	48	68	92	61	55	68	57	0	79	74	0
3	Jason Spezza (A)	X		X		100.00	53	35	87	81	77	75	93	77	88	78	75	61	55	72	62	0	79	72	0
4	Jussi Jokinen		X	X		100.00	54	35	83	81	67	76	94	72	86	78	66	73	55	68	57	0	89	71	0
5	Brayden Schenn	X	X	X		100.00	71	56	85	81	67	75	95	73	80	73	73	63	50	52	46	0	90	70	0
6	Tyler Johnson	X		X		100.00	56	35	87	82	56	75	88	75	82	77	73	65	53	47	43	0	89	69	0
7	Tyler Bozak	X				100.00	59	43	85	76	67	77	78	73	87	75	71	64	46	54	45	0	62	68	0
8	Ales Hemsky			X		100.00	51	35	88	83	58	69	93	68	35	70	66	60	53	69	59	0	75	67	0
9	Daniel Winnik	X	X	X		100.00	55	43	84	68	71	72	93	63	83	63	63	80	48	63	53	0	74	67	0
10	Edward Purcell		X	X		100.00	53	35	89	76	67	75	93	70	35	71	68	63	53	54	47	0	55	67	0
11	Vernon Fiddler	X	X			100.00	54	50	85	72	70	64	95	58	84	52	63	75	53	68	59	0	89	65	0
12	Matt Calvert		X	X		100.00	62	56	80	73	63	72	80	61	35	56	66	75	50	49	43	0	86	64	0
13	T.J. Brodie				X	100.00	57	50	87	77	57	84	88	65	35	73	57	86	48	47	42	0	88	70	0
14	Kevin Klein				X	100.00	70	56	87	72	66	76	80	58	35	57	58	82	48	67	59	0	60	69	0
15	Kevin Shattenkirk				X	100.00	64	50	78	79	66	80	84	67	35	72	62	75	44	56	47	0	87	69	0
16	Alec Martinez				X	100.00	67	35	84	72	69	75	90	57	35	56	57	81	48	57	54	0	80	68	0
17	Jake Gardiner				X	100.00	65	43	85	73	64	77	94	57	45	61	53	67	48	48	41	0	80	65	0
18	Jonas Brodin				X	100.00	61	43	88	66	63	80	86	49	35	50	47	81	56	48	41	0	73	64	0
Rayé
1	Dominic Moore	X	X			100.00	52	35	85	71	64	67	95	55	89	52	58	73	53	71	61	0	25	63	0
2	Marcus Foligno		X	X		100.00	77	65	72	67	80	67	88	58	44	55	61	71	45	46	40	0	70	63	0
3	Justin Fontaine			X		100.00	48	35	87	74	51	62	64	58	35	59	56	71	45	47	38	0	35	59	0
4	Deryk Engelland				X	100.00	68	56	77	64	70	65	65	45	35	43	47	75	48	54	47	0	20	61	0

	MOYENNE D'ÉQUIPE					100.00	61	45	84	75	67	74	87	65	57	65	64	72	50	57	49	0	72	67

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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	Pekka Rinne	100.00	85	99	97	84	81	82	82	77	81	74	88	62	55	0	88	79	0
2	Mike Condon (R)	100.00	63	45	92	73	62	58	59	60	56	65	87	35	32	0	89	59	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	74	72	95	79	72	70	71	69	69	70	88	49	44	0	89	69

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ken Hitchcock	93	95	88	93	99	99	95	CAN	64	2	500,000$

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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	HTT	SHT	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Jamie Benn	Montreal	LW	77	54	63	117	20	72	30	93	138	314	0	17.20%	4	1507	19.58	22	26	48	89	358	0	0	0	0	11	7	2	47.41%	135	0	0	2	1.55	3	3	3	0	3	11	9	6
2	Tyler Johnson	Montreal	C/RW	82	32	46	78	24	8	0	34	130	225	0	14.22%	10	1519	18.53	11	12	23	73	329	0	0	0	0	0	5	2	49.45%	1460	0	0	0	1.03	1	2	0	0	0	6	3	5
3	T.J. Brodie	Montreal	D	82	20	57	77	13	53	5	77	99	157	0	12.74%	124	1964	23.95	14	23	37	110	385	1	3	4	3	342	6	1	0.00%	0	0	0	0	0.78	0	0	0	1	0	5	5	5
4	Alexander Ovechkin	Montreal	LW/RW	79	42	33	75	23	112	0	249	73	238	0	17.65%	6	1616	20.46	14	12	26	77	372	0	0	0	1	64	6	3	35.61%	132	0	1	0	0.93	0	9	0	0	0	4	8	4
5	Kevin Shattenkirk	Montreal	D	80	13	62	75	13	113	5	160	84	111	0	11.71%	83	1985	24.82	6	23	29	74	373	1	1	2	2	302	5	0	0.00%	0	0	0	0	0.76	0	0	0	0	1	5	4	0
6	Jason Spezza	Montreal	C/RW	75	22	45	67	6	6	0	29	122	188	0	11.70%	3	1266	16.89	8	29	37	50	343	0	0	0	0	11	3	2	56.84%	1455	0	0	0	1.06	4	7	0	0	0	1	3	6
7	Brayden Schenn	Montreal	C/LW/RW	82	25	36	61	-4	99	35	148	100	205	0	12.20%	10	1361	16.61	11	14	25	68	328	1	0	1	3	75	5	0	53.61%	720	0	0	1	0.90	0	0	2	2	3	4	3	2
8	Edward Purcell	Montreal	LW/RW	80	25	36	61	-17	10	0	36	95	202	0	12.38%	9	1466	18.33	11	12	23	66	334	0	0	0	2	80	1	1	28.17%	142	0	0	0	0.83	0	3	0	0	0	2	5	2
9	Tyler Bozak	Montreal	C	78	17	31	48	-20	42	10	80	163	199	0	8.54%	5	1356	17.39	4	18	22	58	346	0	0	0	7	107	1	1	51.83%	1555	0	0	0	0.71	1	3	1	0	1	3	0	2
10	Jussi Jokinen	Montreal	LW/RW	82	12	33	45	1	28	0	74	111	161	0	7.45%	16	1438	17.54	2	11	13	34	236	4	1	5	14	406	1	1	59.67%	181	0	0	0	0.63	0	6	0	0	0	1	2	4
11	Ales Hemsky	Montreal	RW	82	14	20	34	-5	8	0	26	96	111	0	12.61%	5	1096	13.37	2	7	9	14	127	0	0	0	0	10	1	1	29.17%	72	0	0	0	0.62	2	4	0	0	0	0	2	3
12	Alec Martinez	Montreal	D	83	4	29	33	-2	56	0	122	50	86	0	4.65%	102	1720	20.73	3	14	17	52	334	0	0	0	3	281	1	0	0.00%	0	0	0	0	0.38	0	0	0	0	0	0	1	0
13	Kevin Klein	Montreal	D	77	5	28	33	-15	140	30	105	60	89	0	5.62%	84	1592	20.68	3	11	14	41	237	0	0	0	2	247	0	0	0.00%	0	0	0	0	0.41	0	0	2	1	3	1	1	1
14	Daniel Winnik	Montreal	C/LW/RW	81	12	18	30	-5	14	0	33	161	142	0	8.45%	20	1374	16.97	3	4	7	38	194	0	1	1	5	374	0	1	52.49%	1669	0	0	0	0.44	0	0	0	0	0	0	4	1
15	Jonas Brodin	Montreal	D	82	6	16	22	5	54	0	85	60	69	0	8.70%	100	1745	21.29	0	2	2	20	172	1	3	4	4	332	1	1	0.00%	0	0	0	0	0.25	1	3	0	0	0	1	2	1
16	Vernon Fiddler	Montreal	C/LW	82	11	10	21	3	15	5	50	142	69	0	15.94%	16	1041	12.71	0	0	0	0	0	0	2	2	4	362	2	1	54.84%	1260	0	0	0	0.40	1	1	0	0	1	1	2	4
17	Matt Calvert	Montreal	LW/RW	82	10	9	19	11	96	30	45	56	65	0	15.38%	18	908	11.08	0	0	0	1	12	1	1	2	2	184	1	0	30.17%	179	0	0	0	0.42	0	0	2	1	3	1	0	0
18	Jake Gardiner	Montreal	D	80	5	13	18	10	60	0	75	39	37	0	13.51%	55	1325	16.57	0	3	3	10	107	0	1	1	0	123	0	0	0.00%	0	0	0	0	0.27	0	0	0	0	0	0	2	0
19	Dominic Moore	Montreal	C/LW	58	3	13	16	3	8	0	9	80	62	0	4.84%	16	702	12.11	0	0	0	0	0	1	1	2	6	238	0	1	55.23%	784	0	0	0	0.46	1	2	0	0	0	0	1	0
20	Marcus Foligno	Montreal	LW/RW	68	3	4	7	1	70	20	80	29	54	0	5.56%	4	608	8.94	0	0	0	0	3	0	1	1	1	164	2	0	46.51%	43	0	0	0	0.23	0	0	0	1	3	0	0	1
21	Justin Fontaine	Montreal	RW	46	1	4	5	-4	2	0	0	21	35	0	2.86%	3	306	6.66	0	0	0	0	0	0	0	0	0	0	0	0	25.64%	39	0	1	0	0.33	0	0	0	0	0	0	0	0
22	Deryk Engelland	Montreal	D	29	0	3	3	-1	33	15	43	13	4	0	0.00%	21	466	16.10	0	0	0	0	8	0	1	1	0	90	0	0	0.00%	0	0	0	0	0.13	0	0	0	1	2	0	0	0
Stats d'équipe Total ou en Moyenne			1647	336	609	945	60	1099	185	1653	1922	2823	0	11.90%	714	28372	17.23	114	221	335	875	4608	10	16	26	59	3813	48	18	51.95%	9826	0	2	3	0.67	14	43	10	7	20	46	57	47

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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	Pekka Rinne	Montreal	65	45	15	5	0.903	2.51	3940	8	2	165	1693	0	2	0	0.667	18	65	16	5	5	3
2	Mike Condon	Montreal	17	9	7	1	0.869	3.43	1033	0	0	59	449	0	0	1	0.727	11	17	65	0	0	2
Stats d'équipe Total ou en Moyenne		82	54	22	6	0.895	2.70	4973	8	2	224	2142	0	2	1	0.690	29	82	81	5	5	5

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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	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Alec Martinez	Montreal	D	28	1987-07-26	No	210 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	1,650,000$	1,650,000$				Lien
Ales Hemsky	Montreal	RW	32	1983-08-13	No	185 Lbs	6 ft0	No	No	2	Sans Restriction	Pro & Farm	3,000,000$	2,500,000$				Lien
Alexander Ovechkin	Montreal	LW/RW	30	1985-09-17	No	239 Lbs	6 ft3	No	No	1	Sans Restriction	Pro & Farm	8,000,000$					Lien
Brayden Schenn	Montreal	C/LW/RW	24	1991-08-22	No	195 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	1,750,000$	2,000,000$				Lien
Daniel Winnik	Montreal	C/LW/RW	30	1985-03-06	No	203 Lbs	6 ft2	No	No	2	Sans Restriction	Pro & Farm	2,700,000$	2,800,000$				Lien
Deryk Engelland	Montreal	D	33	1982-04-03	No	214 Lbs	6 ft2	No	No	3	Sans Restriction	Pro & Farm	700,000$	700,000$	700,000$			Lien
Dominic Moore	Montreal	C/LW	35	1980-08-03	No	192 Lbs	6 ft0	No	No	1	Sans Restriction	Pro & Farm	750,000$					Lien
Edward Purcell	Montreal	LW/RW	30	1985-09-08	No	195 Lbs	6 ft2	No	No	4	Sans Restriction	Pro & Farm	3,125,000$	3,250,000$	3,125,000$	3,000,000$		Lien
Jake Gardiner	Montreal	D	25	1990-07-04	No	197 Lbs	6 ft2	No	No	5	Avec Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	Lien
Jamie Benn	Montreal	LW	26	1989-07-18	No	210 Lbs	6 ft2	No	No	2	Avec Restriction	Pro & Farm	4,400,000$	4,400,000$				Lien
Jason Spezza	Montreal	C/RW	32	1983-06-13	No	220 Lbs	6 ft3	No	No	4	Sans Restriction	Pro & Farm	6,000,000$	5,500,000$	4,000,000$	3,000,000$		Lien
Jonas Brodin	Montreal	D	22	1993-07-12	No	195 Lbs	6 ft1	No	No	1	Avec Restriction	Pro & Farm	925,000$					Lien
Jussi Jokinen	Montreal	LW/RW	32	1983-04-01	No	198 Lbs	5 ft11	No	No	4	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$		Lien
Justin Fontaine	Montreal	RW	27	1987-11-06	No	174 Lbs	5 ft10	No	No	2	Avec Restriction	Pro & Farm	600,000$	600,000$				Lien
Kevin Klein	Montreal	D	30	1984-12-13	No	202 Lbs	6 ft1	No	No	1	Sans Restriction	Pro & Farm	1,500,000$					Lien
Kevin Shattenkirk	Montreal	D	26	1989-01-29	No	202 Lbs	6 ft0	No	No	2	Avec Restriction	Pro & Farm	3,500,000$	3,500,000$				Lien
Marcus Foligno	Montreal	LW/RW	24	1991-08-10	No	226 Lbs	6 ft3	No	No	4	Avec Restriction	Pro & Farm	1,200,000$	1,450,000$	1,500,000$	1,750,000$		Lien
Matt Calvert	Montreal	LW/RW	25	1989-12-24	No	192 Lbs	5 ft11	No	No	3	Avec Restriction	Pro & Farm	1,400,000$	1,600,000$	1,800,000$			Lien
Mike Condon	Montreal	G	25	1990-04-27	Yes	197 Lbs	6 ft2	No	No	4	Avec Restriction	Pro & Farm	575,000$	575,000$	575,000$	575,000$		Lien
Pekka Rinne	Montreal	G	32	1982-11-03	No	217 Lbs	6 ft5	No	No	2	Sans Restriction	Pro & Farm	4,600,000$	4,600,000$				Lien
T.J. Brodie	Montreal	D	25	1990-06-07	No	182 Lbs	6 ft1	No	No	3	Avec Restriction	Pro & Farm	2,600,000$	2,600,000$	2,600,000$			Lien
Tyler Bozak	Montreal	C	29	1986-03-19	No	196 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	2,300,000$	2,750,000$				Lien
Tyler Johnson	Montreal	C/RW	25	1990-07-29	No	185 Lbs	5 ft8	No	No	1	Avec Restriction	Pro & Farm	740,000$					Lien
Vernon Fiddler	Montreal	C/LW	35	1980-05-09	No	205 Lbs	5 ft11	No	No	3	Sans Restriction	Pro & Farm	2,400,001$	2,400,001$	2,400,001$			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	28.42	201 Lbs	6 ft1	2.50	2,558,958$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
61,415,001$	49,875,001$	23,700,001$	15,325,000$	3,500,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jamie Benn	Tyler Johnson	Alexander Ovechkin	35	1	1	3
2	Edward Purcell	Tyler Bozak	Jason Spezza	30	1	1	3
3	Brayden Schenn	Daniel Winnik	Jussi Jokinen	25	1	2	2
4	Matt Calvert	Vernon Fiddler	Ales Hemsky	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Shattenkirk	Jake Gardiner	33	1	2	2
2	T.J. Brodie	Alec Martinez	33	1	2	2
3	Kevin Klein	Jonas Brodin	33	1	2	2
4	T.J. Brodie	Kevin Shattenkirk	1	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jamie Benn	Jason Spezza	Alexander Ovechkin	60	1	0	4
2	Brayden Schenn	Tyler Bozak	Tyler Johnson	40	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	T.J. Brodie	Kevin Shattenkirk	60	1	1	3
2	Jake Gardiner	Alec Martinez	40	1	1	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Daniel Winnik	Matt Calvert	60	1	3	1
2	Vernon Fiddler	Jussi Jokinen	40	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	T.J. Brodie	Kevin Klein	60	1	3	1
2	Jonas Brodin	Alec Martinez	40	1	3	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Daniel Winnik	60	1	3	1	T.J. Brodie	Kevin Klein	60	1	3	1
2	Jussi Jokinen	40	1	3	1	Jonas Brodin	Alec Martinez	40	1	3	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Spezza	Jamie Benn	60	1	1	3
2	Brayden Schenn	Alexander Ovechkin	40	1	1	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	T.J. Brodie	Kevin Shattenkirk	60	1	2	2
2	Kevin Klein	Alec Martinez	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jamie Benn	Jason Spezza	Alexander Ovechkin	T.J. Brodie	Kevin Shattenkirk

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jamie Benn	Daniel Winnik	Jussi Jokinen	T.J. Brodie	Kevin Klein

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tyler Bozak, Daniel Winnik, Ales Hemsky	Tyler Bozak, Daniel Winnik	Ales Hemsky

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jake Gardiner, Jonas Brodin, Kevin Shattenkirk	Kevin Klein	Kevin Shattenkirk, Jake Gardiner

Tirs de Pénalité
Jussi Jokinen, Alexander Ovechkin, Jason Spezza, Jamie Benn, Brayden Schenn

Gardien
#1 : Pekka Rinne, #2 : Mike Condon

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
Anaheim	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	10	16	0	0	1	3	2	0	38	9	13	16	0	49	12	26	33	11	3	27.27%	10	1	90.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	46	30	47	16	26	13
Atlanta	3	1	0	0	2	0	0	0	9	6	3	1	1	0	0	0	0	0	0	3	2	1	2	0	0	0	2	0	0	0	6	4	2	6	1.000	9	15	24	0	0	5	1	1	2	102	39	26	35	2	83	20	22	65	21	2	9.52%	10	1	90.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	77	54	66	22	38	19
Boston	4	1	2	0	0	0	0	1	14	18	-4	2	0	1	0	0	0	0	1	6	11	-5	2	1	1	0	0	0	0	0	8	7	1	3	0.375	14	27	41	0	0	4	5	5	0	126	41	39	46	3	115	37	48	70	24	7	29.17%	24	6	75.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	102	71	91	29	50	26
Buffalo	4	3	1	0	0	0	0	0	15	13	2	2	2	0	0	0	0	0	0	10	7	3	2	1	1	0	0	0	0	0	5	6	-1	6	0.750	15	28	43	0	0	6	7	2	0	108	37	35	36	0	82	22	45	90	15	3	20.00%	17	3	82.35%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	105	73	81	28	52	26
Calgary	2	2	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	16	26	0	0	3	3	4	0	55	15	23	17	0	63	14	24	40	10	3	30.00%	11	1	90.91%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	47	33	47	13	25	13
Philadelphie	3	0	3	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	5	10	15	0	0	2	1	2	0	73	28	21	24	0	76	22	36	54	18	2	11.11%	15	4	73.33%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	68	46	71	23	39	19
Chicago	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	4	7	11	0	0	0	2	2	0	48	7	11	30	0	50	18	27	32	9	2	22.22%	11	4	63.64%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	46	32	47	15	25	11
Colorado	2	0	0	0	1	1	0	0	6	6	0	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	1	0	0	0	4	3	1	3	0.750	6	12	18	0	0	1	2	2	1	68	18	16	29	5	60	15	14	33	11	4	36.36%	7	2	71.43%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	50	34	47	14	26	13
Kansas City	2	0	1	0	0	0	1	0	4	4	0	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	6	10	0	0	0	1	2	2	47	18	13	15	8	62	19	34	54	8	0	0.00%	12	3	75.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	52	37	46	15	25	12
Detroit	5	2	1	0	0	0	2	0	15	11	4	2	0	0	0	0	0	2	0	7	5	2	3	2	1	0	0	0	0	0	8	6	2	8	0.800	15	22	37	0	0	3	5	5	3	159	49	53	51	13	139	55	71	84	33	8	24.24%	27	3	88.89%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	119	82	126	39	64	31
Edmonton	2	1	0	0	1	0	0	0	10	3	7	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	7	1	6	4	1.000	10	20	30	0	0	5	1	3	1	61	24	21	15	1	43	6	12	34	12	2	16.67%	6	1	83.33%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	51	35	42	15	27	14
Islanders	3	0	2	0	0	0	0	1	9	13	-4	1	0	0	0	0	0	0	1	4	5	-1	2	0	2	0	0	0	0	0	5	8	-3	1	0.167	9	16	25	0	0	5	1	3	0	98	28	41	28	3	94	31	43	62	13	3	23.08%	18	3	83.33%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	75	51	71	22	38	19
LA Kings	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	2	0	2	4	1.000	8	15	23	0	1	2	3	3	0	52	19	18	15	0	72	13	27	42	9	1	11.11%	11	0	100.00%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	44	28	51	14	24	12
Minnesota	2	0	1	0	0	0	0	1	5	8	-3	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0.250	5	10	15	0	0	2	1	2	0	46	14	20	9	6	51	19	32	31	5	1	20.00%	16	2	87.50%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	46	29	52	16	25	12
Hartford	3	2	1	0	0	0	0	0	14	10	4	1	1	0	0	0	0	0	0	5	4	1	2	1	1	0	0	0	0	0	9	6	3	4	0.667	14	26	40	0	1	8	3	3	0	75	36	15	24	0	86	29	38	65	18	4	22.22%	19	3	84.21%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	67	44	74	23	38	19
Ottawa	5	3	0	0	2	0	0	0	19	9	10	3	3	0	0	0	0	0	0	12	4	8	2	0	0	0	2	0	0	0	7	5	2	10	1.000	19	34	53	0	0	3	6	8	2	142	50	41	49	2	127	37	73	92	27	6	22.22%	28	2	92.86%	2	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	127	88	112	37	63	31
Pittsburgh	3	2	0	0	0	0	1	0	11	6	5	2	2	0	0	0	0	0	0	7	3	4	1	0	0	0	0	0	1	0	4	3	1	6	1.000	11	19	30	0	0	5	2	3	2	79	31	20	26	5	70	26	49	58	16	5	31.25%	12	1	91.67%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	74	51	72	23	38	19
Rangers	3	2	0	0	1	0	0	0	13	6	7	1	1	0	0	0	0	0	0	6	1	5	2	1	0	0	1	0	0	0	7	5	2	6	1.000	13	23	36	0	0	6	3	3	1	117	41	38	37	1	78	30	53	63	22	4	18.18%	16	2	87.50%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	79	55	63	22	38	20
San Jose	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	6	3	3	2	0.500	7	14	21	0	0	4	2	1	0	55	22	17	16	0	62	16	35	34	11	2	18.18%	15	0	100.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	46	31	47	14	25	12
St-Louis	2	1	0	0	0	0	0	1	9	8	1	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	0	0	1	5	6	-1	3	0.750	9	17	26	0	0	5	3	1	1	46	20	15	8	6	53	23	29	40	13	2	15.38%	12	1	91.67%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	45	29	53	17	26	12
Tampa Bay	4	1	3	0	0	0	0	0	11	14	-3	2	1	1	0	0	0	0	0	7	7	0	2	0	2	0	0	0	0	0	4	7	-3	2	0.250	11	22	33	0	0	2	3	6	0	102	34	32	36	0	106	39	49	82	22	2	9.09%	21	5	76.19%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	100	68	89	31	49	25
Toronto	4	4	0	0	0	0	0	0	12	4	8	2	2	0	0	0	0	0	0	7	2	5	2	2	0	0	0	0	0	0	5	2	3	8	1.000	12	23	35	0	0	3	4	5	0	106	29	37	40	0	78	17	60	70	25	3	12.00%	24	1	95.83%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	108	75	80	30	51	27
Vancouver	2	2	0	0	0	0	0	0	12	2	10	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	5	1	4	4	1.000	12	23	35	0	0	6	5	1	0	72	26	34	12	0	35	11	12	35	17	7	41.18%	6	0	100.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	54	39	39	14	25	13
Quebec	4	3	0	0	0	1	0	0	21	15	6	2	1	0	0	0	1	0	0	13	10	3	2	2	0	0	0	0	0	0	8	5	3	7	0.875	21	37	58	0	0	7	11	3	0	119	40	39	40	0	93	29	86	84	23	7	30.43%	27	6	77.78%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	101	71	89	28	49	25
Winnipeg	2	2	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	8	1	7	4	1.000	11	18	29	0	0	4	3	4	0	65	16	22	27	0	59	17	18	41	11	4	36.36%	9	1	88.89%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	51	35	44	14	23	12
Nashville	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	6	9	0	0	0	3	0	0	54	18	19	17	0	60	17	34	37	12	2	16.67%	11	1	90.91%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	49	33	46	14	24	12
Washington	3	3	0	0	0	0	0	0	16	11	5	2	2	0	0	0	0	0	0	11	8	3	1	1	0	0	0	0	0	0	5	3	2	6	1.000	16	31	47	0	0	5	4	7	0	96	33	37	26	0	79	27	29	54	23	6	26.09%	12	2	83.33%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	79	55	63	22	37	20
Caroline	3	1	2	0	0	0	0	0	6	8	-2	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	6	12	18	1	0	4	2	0	0	89	23	33	33	0	64	23	28	50	20	2	10.00%	14	2	85.71%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	77	52	63	23	39	21
Las Vegas	2	1	0	0	0	0	1	0	11	8	3	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	0	1	0	6	5	1	4	1.000	11	19	30	0	0	3	5	2	2	77	18	31	25	6	54	5	25	40	12	5	41.67%	10	2	80.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	59	41	39	13	26	14
Vs Division	30	17	7	0	2	1	2	1	107	84	23	15	9	2	0	0	1	2	1	62	46	16	15	8	5	0	2	0	0	0	45	38	7	44	0.733	107	193	300	0	0	28	41	34	5	862	280	276	298	18	740	236	432	572	169	36	21.30%	168	26	84.52%	4	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	765	530	672	225	380	193
Vs Conference	54	28	15	0	5	1	3	2	190	156	34	27	17	5	0	0	1	2	2	107	82	25	27	11	10	0	5	0	1	0	83	74	9	75	0.694	190	345	535	1	1	68	58	56	10	1591	539	507	531	29	1370	444	730	1043	320	64	20.00%	284	44	84.51%	6	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	1365	941	1217	410	688	354
Since Last GM Reset	82	42	22	0	7	2	5	4	296	229	67	41	24	8	0	1	2	3	3	156	116	40	41	18	14	0	6	0	2	1	140	113	27	114	0.695	296	538	834	1	2	104	95	85	17	2375	783	780	782	61	2143	649	1079	1569	471	102	21.66%	431	63	85.38%	8	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	2059	1415	1871	622	1048	537
Total	82	42	22	0	7	2	5	4	296	229	67	41	24	8	0	1	2	3	3	156	116	40	41	18	14	0	6	0	2	1	140	113	27	114	0.695	296	538	834	1	2	104	95	85	17	2375	783	780	782	61	2143	649	1079	1569	471	102	21.66%	431	63	85.38%	8	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	2059	1415	1871	622	1048	537

			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
82	114	W1	296	538	834	2375	2143	649	1079	1569	1	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	42	22	7	2	5	4	296	229

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	24	8	1	2	3	3	156	116

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	14	6	0	2	1	140	113

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	4	0	1	2	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
471	102	21.66%	431	63	85.38%	8

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
783	780	782	61	104	95	85	17

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
1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%

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
2059	1415	1871	622	1048	537

Derniers Match Joués

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	Lien
2 - 2016-10-13	10	Montreal	4	Buffalo	3	W			Sommaire du Match
4 - 2016-10-15	19	Montreal	5	Ottawa	4	W	X		Sommaire du Match
7 - 2016-10-18	41	Pittsburgh	1	Montreal	4	W			Sommaire du Match
9 - 2016-10-20	54	Nashville	4	Montreal	2	L			Sommaire du Match
11 - 2016-10-22	74	Montreal	1	Boston	2	L			Sommaire du Match
13 - 2016-10-24	81	Philadelphie	6	Montreal	3	L			Sommaire du Match
15 - 2016-10-26	97	Montreal	4	Islanders	5	L			Sommaire du Match
16 - 2016-10-27	102	Tampa Bay	4	Montreal	5	W			Sommaire du Match
18 - 2016-10-29	122	Toronto	1	Montreal	2	W			Sommaire du Match
22 - 2016-11-02	143	Vancouver	1	Montreal	7	W			Sommaire du Match
24 - 2016-11-04	159	Montreal	4	Atlanta	3	W	X		Sommaire du Match
25 - 2016-11-05	164	Philadelphie	3	Montreal	2	L			Sommaire du Match
28 - 2016-11-08	189	Boston	6	Montreal	2	L			Sommaire du Match
30 - 2016-11-10	196	LA Kings	3	Montreal	6	W			Sommaire du Match
32 - 2016-11-12	216	Detroit	1	Montreal	2	W	X	X	Sommaire du Match
33 - 2016-11-13	226	Montreal	2	Chicago	5	L			Sommaire du Match
35 - 2016-11-15	241	Quebec	3	Montreal	7	W			Sommaire du Match
38 - 2016-11-18	258	Montreal	2	Caroline	4	L			Sommaire du Match
39 - 2016-11-19	269	Toronto	1	Montreal	5	W			Sommaire du Match
42 - 2016-11-22	287	Ottawa	1	Montreal	4	W			Sommaire du Match
44 - 2016-11-24	300	Caroline	1	Montreal	3	W			Sommaire du Match
46 - 2016-11-26	315	Montreal	2	Detroit	3	L			Sommaire du Match
49 - 2016-11-29	340	Montreal	3	Anaheim	2	W			Sommaire du Match
52 - 2016-12-02	358	Montreal	6	San Jose	3	W			Sommaire du Match
54 - 2016-12-04	377	Montreal	2	LA Kings	0	W			Sommaire du Match
56 - 2016-12-06	384	Montreal	5	St-Louis	6	L	X	X	Sommaire du Match
58 - 2016-12-08	398	Hartford	4	Montreal	5	W			Sommaire du Match
60 - 2016-12-10	420	Colorado	3	Montreal	2	L	X		Sommaire du Match
62 - 2016-12-12	430	Boston	5	Montreal	4	L	X	X	Sommaire du Match
66 - 2016-12-16	454	San Jose	3	Montreal	1	L			Sommaire du Match
67 - 2016-12-17	465	Montreal	5	Washington	3	W			Sommaire du Match
70 - 2016-12-20	485	Anaheim	1	Montreal	3	W			Sommaire du Match
72 - 2016-12-22	498	Minnesota	3	Montreal	2	L	X	X	Sommaire du Match
73 - 2016-12-23	513	Montreal	2	Atlanta	1	W	X		Sommaire du Match
78 - 2016-12-28	529	Montreal	1	Tampa Bay	3	L			Sommaire du Match
79 - 2016-12-29	536	Montreal	3	Quebec	2	W			Sommaire du Match
81 - 2016-12-31	556	Montreal	4	Pittsburgh	3	W	X	X	Sommaire du Match
84 - 2017-01-03	570	Montreal	6	Las Vegas	5	W	X	X	Sommaire du Match
85 - 2017-01-04	577	Montreal	1	Kansas City	2	L			Sommaire du Match
88 - 2017-01-07	591	Montreal	3	Toronto	1	W			Sommaire du Match
90 - 2017-01-09	610	Washington	3	Montreal	4	W			Sommaire du Match
92 - 2017-01-11	621	Montreal	8	Winnipeg	1	W			Sommaire du Match
93 - 2017-01-12	628	Montreal	3	Minnesota	5	L			Sommaire du Match
95 - 2017-01-14	642	Rangers	1	Montreal	6	W			Sommaire du Match
97 - 2017-01-16	658	Montreal	3	Detroit	1	W			Sommaire du Match
99 - 2017-01-18	672	Pittsburgh	2	Montreal	3	W			Sommaire du Match
101 - 2017-01-20	688	Montreal	4	Hartford	6	L			Sommaire du Match
102 - 2017-01-21	693	Buffalo	3	Montreal	4	W			Sommaire du Match
105 - 2017-01-24	718	Calgary	3	Montreal	6	W			Sommaire du Match
107 - 2017-01-26	740	Montreal	1	Islanders	3	L			Sommaire du Match
112 - 2017-01-31	750	Buffalo	4	Montreal	6	W			Sommaire du Match
114 - 2017-02-02	759	Montreal	0	Philadelphie	3	L			Sommaire du Match
116 - 2017-02-04	771	Washington	5	Montreal	7	W			Sommaire du Match
117 - 2017-02-05	785	Edmonton	2	Montreal	3	W	X		Sommaire du Match
119 - 2017-02-07	800	Montreal	4	Colorado	3	W	X		Sommaire du Match
121 - 2017-02-09	805	Montreal	1	Nashville	3	L			Sommaire du Match
123 - 2017-02-11	822	St-Louis	2	Montreal	4	W			Sommaire du Match
124 - 2017-02-12	832	Montreal	7	Boston	5	W			Sommaire du Match
130 - 2017-02-18	858	Winnipeg	1	Montreal	3	W			Sommaire du Match
133 - 2017-02-21	883	Montreal	5	Rangers	4	W	X		Sommaire du Match
135 - 2017-02-23	895	Islanders	5	Montreal	4	L	X	X	Sommaire du Match
137 - 2017-02-25	908	Montreal	2	Toronto	1	W			Sommaire du Match
139 - 2017-02-27	919	Montreal	5	Hartford	0	W			Sommaire du Match
140 - 2017-02-28	929	Atlanta	2	Montreal	3	W			Sommaire du Match
142 - 2017-03-02	941	Las Vegas	3	Montreal	5	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2017-03-04	956	Montreal	2	Rangers	1	W			Sommaire du Match
147 - 2017-03-07	980	Montreal	5	Vancouver	1	W			Sommaire du Match
149 - 2017-03-09	986	Montreal	4	Calgary	2	W			Sommaire du Match
152 - 2017-03-12	1013	Montreal	7	Edmonton	1	W			Sommaire du Match
154 - 2017-03-14	1032	Chicago	3	Montreal	2	L			Sommaire du Match
158 - 2017-03-18	1056	Montreal	2	Ottawa	1	W	X		Sommaire du Match
159 - 2017-03-19	1064	Ottawa	1	Montreal	4	W			Sommaire du Match
161 - 2017-03-21	1079	Detroit	4	Montreal	5	W	X	X	Sommaire du Match
163 - 2017-03-23	1092	Caroline	3	Montreal	1	L			Sommaire du Match
165 - 2017-03-25	1107	Ottawa	2	Montreal	4	W			Sommaire du Match
168 - 2017-03-28	1132	Kansas City	2	Montreal	3	W	X	X	Sommaire du Match
170 - 2017-03-30	1149	Quebec	7	Montreal	6	L	X		Sommaire du Match
172 - 2017-04-01	1160	Montreal	3	Tampa Bay	4	L			Sommaire du Match
174 - 2017-04-03	1178	Montreal	5	Quebec	3	W			Sommaire du Match
176 - 2017-04-05	1192	Montreal	1	Buffalo	3	L			Sommaire du Match
178 - 2017-04-07	1206	Tampa Bay	3	Montreal	2	L			Sommaire du Match
179 - 2017-04-08	1212	Montreal	3	Detroit	2	W			Sommaire du Match

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	150	86	72	41	385
Assistance	193213	152641	63861	128595	31558
Attendance PCT	78.54%	74.46%	77.88%	78.41%	76.97%

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	13899 - 77.22%	1,571,844$	64,445,584$	18000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
61,415,001$	58,015,001$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
57,438,298$	339,309$	56,935,564$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	342,072$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	59,982,688$	120,510,704$	120,510,704$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Jamie Benn	AGE:26	PO:0	OV:75
Alexander Ovechkin	AGE:30	PO:0	OV:74
Jussi Jokinen	AGE:32	PO:0	OV:71
Brayden Schenn	AGE:24	PO:0	OV:70
Daniel Winnik	AGE:30	PO:0	OV:67
Edward Purcell	AGE:30	PO:0	OV:67
Vernon Fiddler	AGE:35	PO:0	OV:65
Matt Calvert	AGE:25	PO:0	OV:64
Dominic Moore	AGE:35	PO:0	OV:63
Marcus Foligno	AGE:24	PO:0	OV:63
Michael Santorelli	AGE:29	PO:0	OV:61
*Brian Hart	AGE:21	PO:0	OV:46
*Ludvig Rensfeldt	AGE:23	PO:0	OV:45
*Mattias Lindstrom	AGE:24	PO:0	OV:44
*Alexander Delnov	AGE:21	PO:0	OV:42
*Andrew Yogan	AGE:23	PO:0	OV:42
*Rob Flick	AGE:24	PO:0	OV:42
*Julien Pelletier	AGE:19	PO:0	OV:41
*Christopher Clapperton	AGE:21	PO:0	OV:39

Jason Spezza	AGE:32	PO:0	OV:72
Brayden Schenn	AGE:24	PO:0	OV:70
Tyler Johnson	AGE:25	PO:0	OV:69
Tyler Bozak	AGE:29	PO:0	OV:68
Daniel Winnik	AGE:30	PO:0	OV:67
Vernon Fiddler	AGE:35	PO:0	OV:65
Dominic Moore	AGE:35	PO:0	OV:63
Michael Santorelli	AGE:29	PO:0	OV:61
*Mike Winther	AGE:21	PO:0	OV:45
*Dominic Turgeon	AGE:19	PO:0	OV:44
*Louis-Marc Aubry	AGE:23	PO:0	OV:44
*Andrew Yogan	AGE:23	PO:0	OV:42
*Joseph Labate	AGE:22	PO:0	OV:42
*Rob Flick	AGE:24	PO:0	OV:42
*Joachim Nermark	AGE:22	PO:0	OV:41
Bill Arnold	AGE:23	PO:0	OV:39

Alexander Ovechkin	AGE:30	PO:0	OV:74
Jason Spezza	AGE:32	PO:0	OV:72
Jussi Jokinen	AGE:32	PO:0	OV:71
Brayden Schenn	AGE:24	PO:0	OV:70
Tyler Johnson	AGE:25	PO:0	OV:69
Ales Hemsky	AGE:32	PO:0	OV:67
Daniel Winnik	AGE:30	PO:0	OV:67
Edward Purcell	AGE:30	PO:0	OV:67
Matt Calvert	AGE:25	PO:0	OV:64
Marcus Foligno	AGE:24	PO:0	OV:63
David Jones	AGE:31	PO:0	OV:61
Michael Santorelli	AGE:29	PO:0	OV:61
Justin Fontaine	AGE:27	PO:0	OV:59
Mike Sislo	AGE:27	PO:0	OV:55
*Brian Hart	AGE:21	PO:0	OV:46
*Zach O'Brien	AGE:23	PO:0	OV:45
*Max Gaede	AGE:23	PO:0	OV:44
*Markus Soberg	AGE:20	PO:0	OV:39

Défense #1

Défense #2

Gardien

T.J. Brodie	AGE:25	PO:0	OV:70
Kevin Klein	AGE:30	PO:0	OV:69
Kevin Shattenkirk	AGE:26	PO:0	OV:69
Alec Martinez	AGE:28	PO:0	OV:68
Jake Gardiner	AGE:25	PO:0	OV:65
Jonas Brodin	AGE:22	PO:0	OV:64
Deryk Engelland	AGE:33	PO:0	OV:61
James Wisniewski	AGE:31	PO:0	OV:60
Brian Lashoff	AGE:25	PO:0	OV:56
*Julian Melchiori	AGE:23	PO:0	OV:52
*Taylor Doherty	AGE:24	PO:0	OV:47

*Keegan Kanzig	AGE:20	PO:0	OV:46
*Dalton Thrower	AGE:21	PO:0	OV:45
*Guillaume Gelinas	AGE:22	PO:0	OV:45
*Alexander Peters	AGE:19	PO:0	OV:44
*Alex Theriau	AGE:23	PO:0	OV:42
*Andrew O'Brien	AGE:22	PO:0	OV:42
*Michael Downing	AGE:20	PO:0	OV:42
*Rhett Holland	AGE:22	PO:0	OV:42
*Timothy Boyle	AGE:22	PO:0	OV:41
*Eric Roy	AGE:20	PO:0	OV:39

Pekka Rinne	AGE:32	PO:0	OV:79
*Mike Condon	AGE:25	PO:0	OV:59
Joni Ortio	AGE:24	PO:0	OV:51
Tyler Bunz	AGE:23	PO:0	OV:47
*Olivier Roy	AGE:24	PO:0	OV:40
*Fredrik Pettersson-Wentzel	AGE:24	PO:0	OV:39

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
Auguste Impose	Montreal	2015	157
Brandon Duhaime	Montreal	2016	167
Fredrik Karlstrom	Montreal	2016	170
Luke Green	Montreal	2016	112
Nolan Stevens	Montreal	2016	180

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2018	Mon			Was	Tor	Ana Mon	Det [CON: Har]
2019	Mon	Mon	Mon	Mon	Mon	Mon	Atl
2020	Mon	Mon	Mon	Mon	Mon	Mon	Mon
2021	Mon	Mon	Mon	Mon	Mon	Mon	Mon

[2016-09-11 15:34:27] - Mike Condon was added to Montreal.
[2016-09-16 21:12:20] - David Jones was added to Montreal.
[2016-09-20 19:49:36] - Justin Fontaine was added to Montreal.
[2016-09-20 19:49:37] - TRADE : From Montreal to Seattle : Viktor Stalberg (60).
[2016-09-20 19:49:37] - TRADE : From Seattle to Montreal : Justin Fontaine (59).
[2016-10-26 20:00:16] - Unknown Player is no longer as assistant for Montreal.
[2016-10-26 20:00:16] - Jason Spezza has been selected as assistant for Montreal.
[2016-11-22 06:22:31] - TRADE : From Montreal to Kansas City : 1 $ (Money).
[2016-11-26 08:15:07] - James Wisniewski was added to Montreal.
[2016-11-26 08:15:09] - TRADE : From Kansas City to Montreal : James Wisniewski (61).
[2016-11-26 08:15:09] - TRADE : From Montreal to Kansas City : 1 $ (Money).
[2017-01-12 22:24:32] - Montreal show interest in Tomas Fleischmann from waiver.
[2017-01-13 20:00:22] - Montreal claimed Tomas Fleischmann from waivers by Kansas City for 0 $.
[2017-01-13 20:00:22] - Tomas Fleischmann was added to Montreal.
[2017-01-14 00:27:01] - Montreal paid 2 688 482 $ to release Tomas Fleischmann.
[2017-01-14 00:27:01] - Tomas Fleischmann was released.
[2017-01-17 21:50:42] - Jori Lehtera was added to Montreal.
[2017-01-17 21:50:42] - TRADE : From Montreal to Nashville : Christopher Wagner (39).
[2017-01-17 21:50:42] - TRADE : From Nashville to Montreal : Jori Lehtera (64).
[2017-01-17 21:51:35] - Matt Read was added to Montreal.
[2017-01-17 21:51:36] - TRADE : From Montreal to Washington : Sean Day (P), Y:2017-RND:7-LA .
[2017-01-17 21:51:36] - TRADE : From Washington to Montreal : Matt Read (64), Y:2018-RND:5-Stl.
[2017-01-20 22:56:06] - Dominic Moore was added to Montreal.
[2017-01-20 22:56:07] - TRADE : From Montreal to Hartford : Jori Lehtera (64), Conditional Draft Pick - Y:2018-RND:7-Det.
[2017-01-20 22:56:07] - TRADE : From Hartford to Montreal : Dominic Moore (63).
[2017-02-02 20:55:14] - Kevin Klein was added to Montreal.
[2017-02-02 20:55:15] - TRADE : From Kansas City to Montreal : Kevin Klein (68).
[2017-02-02 20:55:15] - TRADE : From Montreal to Kansas City : Ben Lovejoy (66), Linus Nassen (P), Ross Colton (P).
[2017-02-04 10:35:16] - John-Michael Liles was added to Montreal.
[2017-02-04 10:35:17] - TRADE : From Montreal to San Jose : Y:2018-RND:5-Stl.
[2017-02-04 10:35:17] - TRADE : From San Jose to Montreal : John-Michael Liles (65).
[2017-02-04 14:29:46] - Ales Hemsky was added to Montreal.
[2017-02-04 14:29:46] - Deryk Engelland was added to Montreal.
[2017-02-04 14:29:46] - Jonas Brodin was added to Montreal.
[2017-02-04 14:29:46] - TRADE : From Montreal to Hartford : Jannik Hansen (66), Jared Spurgeon (68), Y:2018-RND:4-Mon.
[2017-02-04 14:29:46] - TRADE : From Hartford to Montreal : Ales Hemsky (66), Deryk Engelland (61), Jonas Brodin (64).
[2017-02-07 20:13:26] - Tyler Bozak was added to Montreal.
[2017-02-07 20:13:27] - TRADE : From Montreal to Toronto : John Mitchell (64), Connor Ingram (P), Taylor Raddysh (P).
[2017-02-07 20:13:27] - TRADE : From Toronto to Montreal : Tyler Bozak (68), Y:2017-RND:4-Stl.
[2017-02-08 20:00:17] - Maxim Lapierre is no longer captain for Rocket.
[2017-02-08 20:00:17] - Michael Santorelli has been selected as captain for Rocket.
[2017-02-08 20:00:17] - Simon Moser is no longer as assistant for Rocket.
[2017-02-08 20:00:17] - Dominic Turgeon has been selected as assistant for Rocket.
[2017-02-08 20:00:17] - Unknown Player is no longer as assistant for Rocket.
[2017-02-08 20:00:17] - Brian Hart has been selected as assistant for Rocket.
[2017-02-08 23:57:59] - Calvin de Haan was added to Montreal.
[2017-02-08 23:57:59] - Thomas Hickey was added to Montreal.
[2017-02-08 23:58:00] - TRADE : From Montreal to Kansas City : Alec Martinez (68), Jake Gardiner (65), Sami Niku (P).
[2017-02-08 23:58:00] - TRADE : From Kansas City to Montreal : Calvin de Haan (63), Thomas Hickey (65).
[2017-02-25 09:08:33] - Alec Martinez was added to Montreal.
[2017-02-25 09:08:33] - Jake Gardiner was added to Montreal.
[2017-02-25 09:08:35] - TRADE : From Montreal to Kansas City : Calvin de Haan (63), Thomas Hickey (65).
[2017-02-25 09:08:35] - TRADE : From Kansas City to Montreal : Alec Martinez (68), Jake Gardiner (64), Sami Niku (P).
[2017-02-27 21:58:45] - TRADE : From Montreal to Kansas City : Sami Niku (P).
[2017-02-27 21:58:45] - TRADE : From Kansas City to Montreal : 1 $ (Money).
[2017-03-02 00:03:30] - TRADE : From Montreal to Anaheim : John-Michael Liles (65).
[2017-03-02 00:03:30] - TRADE : From Anaheim to Montreal : Y:2018-RND:6-Ana.
[2017-03-02 00:04:34] - Daniel Winnik was added to Montreal.
[2017-03-02 00:04:36] - TRADE : From Montreal to Rangers : Matt Read (64), Simon Bourque (P), Y:2017-RND:4-Stl.
[2017-03-02 00:04:36] - TRADE : From Rangers to Montreal : Daniel Winnik (66).
[2017-03-02 00:05:48] - Edward Purcell was added to Montreal.
[2017-03-02 00:05:49] - TRADE : From Montreal to San Jose : Cam Dineen (P).
[2017-03-02 00:05:49] - TRADE : From San Jose to Montreal : Edward Purcell (66).

Pas de Blessure ou de Suspension.

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
Saison Régulière
2016	82	42	22	0	7	2	5	4	296	229	67	41	24	8	0	1	2	3	3	156	116	40	41	18	14	0	6	0	2	1	140	113	27	84	296	538	834	1	2	104	95	85	17	2375	783	780	782	61	2143	649	1079	1569	471	102	21.66%	431	63	85.38%	8	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	2059	1415	1871	622	1048	537
Total Saison Régulière	82	42	22	0	7	2	5	4	296	229	67	41	24	8	0	1	2	3	3	156	116	40	41	18	14	0	6	0	2	1	140	113	27	84	296	538	834	1	2	104	95	85	17	2375	783	780	782	61	2143	649	1079	1569	471	102	21.66%	431	63	85.38%	8	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	2059	1415	1871	622	1048	537