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	Evgeni Malkin	X	X	X		100.00	58	43	71	83	68	80	75	82	78	81	83	61	50	72	67	0	59	73	0
2	Phil Kessel			X		100.00	52	35	88	81	69	78	95	75	35	75	74	61	50	65	57	0	64	70	0
3	Michael Frolik		X	X		98.00	56	35	86	76	66	74	86	70	38	68	71	73	45	60	52	0	69	68	0
4	Alexandre Burrows		X	X		100.00	65	50	79	72	61	73	93	63	49	59	67	68	55	70	59	0	78	66	0
5	Eric Fehr	X	X	X		100.00	57	43	86	66	74	69	76	63	83	58	67	73	50	65	60	0	73	65	0
6	Michael Grabner		X	X		100.00	57	43	90	70	56	68	86	57	35	51	63	76	56	54	46	0	64	62	0
7	Mikhail Grabovski	X	X			100.00	50	35	83	77	58	67	75	62	82	60	64	61	45	60	51	0	59	62	0
8	Nate Thompson	X	X			100.00	65	43	77	67	73	67	74	55	86	53	56	72	45	60	52	0	78	62	0
9	Dainius Zubrus	X	X	X		100.00	61	43	84	61	80	64	73	50	51	48	52	73	48	90	79	0	66	61	0
10	Sean Bergenheim		X			100.00	61	35	78	73	69	62	62	58	51	52	63	58	54	60	51	0	82	60	0
11	Drew Shore	X		X		100.00	54	35	86	66	72	65	36	57	82	61	52	70	45	45	39	0	80	59	0
12	Josh Anderson (R)		X	X		100.00	59	35	89	66	74	60	36	53	60	55	50	68	48	35	32	0	73	56	0
13	P.K. Subban				X	100.00	71	50	72	76	69	88	90	69	35	80	58	79	45	58	50	0	74	72	0
14	Torey Krug				X	100.00	59	43	85	80	57	78	95	64	45	72	55	74	50	46	43	0	69	67	0
15	John-Michael Liles				X	100.00	59	35	88	74	57	76	91	52	35	54	49	74	48	69	58	0	44	65	0
16	Nick Schultz				X	100.00	59	43	82	65	67	69	86	46	45	48	43	81	48	72	61	0	74	65	0
17	Jared Cowen				X	100.00	84	50	81	60	82	71	62	46	35	46	45	79	48	50	44	0	64	63	0
18	Patrick Wiercioch				X	100.00	61	35	83	60	68	70	71	44	35	47	41	70	56	46	41	0	80	59	0
Rayé
1	Stephen Gionta	X		X		100.00	65	43	84	75	50	65	93	50	77	51	48	73	56	50	45	0	81	60	0
2	Jayson Megna	X		X		100.00	55	35	79	70	67	59	36	53	35	50	56	61	48	41	37	0	82	55	0
3	Cody Bass	X	X	X		100.00	64	50	73	67	71	48	36	35	58	35	35	59	48	45	41	0	20	48	0
4	Andrew Campbell				X	100.00	60	35	87	61	69	55	36	36	35	39	32	75	48	40	36	0	19	55	0
5	Brent Regner				X	100.00	51	35	81	67	60	48	35	31	35	30	32	72	48	35	32	0	39	52	0

	MOYENNE D'ÉQUIPE					99.91	60	40	82	70	67	68	69	55	52	55	55	70	49	56	49	0	65	62

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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	Jaroslav Halak	100.00	89	73	96	65	86	89	84	83	93	84	76	60	53	0	42	79	0
2	Michal Neuvirth	100.00	72	45	96	78	73	69	66	73	71	78	77	53	48	0	45	68	0
Rayé
1	Ben Scrivens	100.00	56	45	87	66	56	56	55	56	56	79	53	45	40	0	20	57	0

	MOYENNE D'ÉQUIPE	100.00	72	54	93	70	72	71	68	71	73	80	69	53	47	0	36	68

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jack Capuano	99	91	89	99	89	67	89	USA	50	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	Evgeni Malkin	Anaheim	C/LW/RW	73	32	52	84	9	88	10	149	162	235	0	13.62%	11	1616	22.14	11	21	32	64	328	1	1	2	6	247	2	3	50.39%	2284	0	0	0	1.04	3	12	1	0	1	10	4	3
2	Michael Frolik	Anaheim	LW/RW	81	36	35	71	10	42	0	63	109	237	0	15.19%	14	1586	19.59	10	9	19	56	340	1	0	1	7	200	8	1	30.92%	152	0	1	1	0.89	2	9	0	0	0	5	5	5
3	Phil Kessel	Anaheim	RW	76	26	44	70	15	26	0	45	72	217	0	11.98%	9	1520	20.00	10	13	23	68	343	0	0	0	1	107	5	1	24.03%	154	0	0	1	0.92	4	12	0	0	0	3	5	3
4	P.K. Subban	Anaheim	D	80	13	56	69	1	197	55	219	122	143	0	9.09%	94	1988	24.85	11	14	25	115	369	0	1	1	1	310	1	1	0.00%	0	0	0	1	0.69	0	0	3	0	8	4	7	1
5	Eric Fehr	Anaheim	C/LW/RW	82	18	43	61	0	27	5	67	186	179	0	10.06%	14	1575	19.21	7	16	23	50	340	0	0	0	5	246	2	1	51.98%	1943	0	0	0	0.77	2	5	0	0	1	5	2	3
6	Torey Krug	Anaheim	D	82	10	42	52	-5	47	5	49	72	115	0	8.70%	105	2046	24.96	6	17	23	79	373	0	0	0	2	325	2	0	0.00%	0	0	0	0	0.51	1	2	0	1	0	3	2	3
7	Alexandre Burrows	Anaheim	LW/RW	82	18	28	46	5	119	35	151	76	180	0	10.00%	4	1342	16.38	7	12	19	60	337	0	1	1	0	89	4	1	37.23%	94	0	0	0	0.69	0	4	2	1	3	3	1	4
8	Nick Schultz	Anaheim	D	81	15	21	36	7	41	5	53	56	94	0	15.96%	103	1780	21.98	7	11	18	55	321	0	1	1	1	331	3	1	0.00%	0	0	0	0	0.40	0	0	0	0	1	2	1	2
9	John-Michael Liles	Anaheim	D	74	7	20	27	-12	40	0	104	54	65	0	10.77%	80	1493	20.18	1	8	9	34	186	0	1	1	0	276	0	0	0.00%	1	0	0	0	0.36	0	0	0	0	0	1	1	2
10	Michael Grabner	Anaheim	LW/RW	61	11	13	24	-20	20	0	37	54	98	0	11.22%	15	946	15.51	4	6	10	24	165	1	0	1	5	121	2	1	31.33%	83	0	0	0	0.51	1	2	0	0	0	0	0	2
11	Dainius Zubrus	Anaheim	C/LW/RW	82	11	10	21	-11	36	10	73	68	77	0	14.29%	6	982	11.98	2	1	3	5	22	0	0	0	0	114	0	0	45.54%	202	0	0	0	0.43	0	0	1	0	1	1	0	1
12	Mikhail Grabovski	Anaheim	C/LW	71	6	14	20	-13	16	0	27	101	121	0	4.96%	7	843	11.89	0	6	6	8	76	0	0	0	0	4	1	0	49.94%	859	0	0	0	0.47	0	0	0	0	0	0	0	2
13	Jared Cowen	Anaheim	D	75	5	12	17	6	146	10	162	52	62	0	8.06%	82	1465	19.54	2	3	5	33	242	0	1	1	0	220	0	0	0.00%	0	0	0	0	0.23	0	0	2	0	0	0	2	1
14	Nate Thompson	Anaheim	C/LW	82	6	11	17	-8	46	10	58	81	78	0	7.69%	14	793	9.68	1	3	4	3	20	0	0	0	1	116	1	0	50.56%	708	0	0	0	0.43	0	0	2	0	0	0	0	3
15	Drew Shore	Anaheim	C/RW	78	4	5	9	-14	17	5	15	57	63	0	6.35%	5	632	8.11	0	0	0	0	6	0	0	0	0	15	1	0	54.64%	194	0	0	0	0.28	0	0	0	0	1	0	0	1
16	Stephen Gionta	Anaheim	C/RW	25	5	4	9	-5	8	0	35	24	22	0	22.73%	4	282	11.31	1	1	2	1	5	0	0	0	0	10	1	1	51.25%	80	0	0	0	0.64	0	0	0	0	0	0	0	1
17	Brent Regner	Anaheim	D	67	3	5	8	-17	50	0	52	24	13	0	23.08%	51	1011	15.10	1	0	1	3	23	0	0	0	0	128	0	1	0.00%	0	0	0	0	0.16	0	0	0	0	0	0	0	0
18	Patrick Wiercioch	Anaheim	D	28	2	6	8	-5	14	0	29	10	10	0	20.00%	21	423	15.13	0	0	0	0	19	0	0	0	0	27	0	1	0.00%	0	0	0	0	0.38	0	1	0	0	0	1	0	0
19	Josh Anderson	Anaheim	LW/RW	72	3	2	5	-12	8	0	20	38	26	0	11.54%	4	480	6.67	0	0	0	0	0	0	0	0	0	0	0	0	51.35%	37	0	0	0	0.21	0	0	0	0	0	0	0	1
20	Andrew Campbell	Anaheim	D	58	1	2	3	-17	62	0	71	19	17	0	5.88%	50	803	13.85	0	0	0	1	16	0	0	0	0	46	0	0	0.00%	0	0	0	0	0.07	0	0	0	0	0	0	0	0
21	Sean Bergenheim	Anaheim	LW	28	2	0	2	-1	12	0	18	13	21	0	9.52%	2	207	7.40	0	0	0	0	0	0	0	0	0	1	1	0	52.63%	19	0	0	0	0.19	0	0	0	0	0	0	1	0
22	Jayson Megna	Anaheim	C/RW	2	0	0	0	-3	2	0	0	0	0	0	0.00%	0	13	6.58	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne			1440	234	425	659	-90	1064	150	1497	1450	2073	0	11.29%	695	23836	16.55	81	141	222	659	3544	3	6	9	29	2942	34	13	49.36%	6813	0	1	3	0.55	13	47	11	2	16	38	31	38

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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	Jaroslav Halak	Anaheim	71	41	18	10	0.898	2.67	4153	6	4	185	1813	0	3	0	0.725	51	69	12	8	4	5
2	Michal Neuvirth	Anaheim	18	1	8	3	0.870	3.64	808	0	0	49	378	0	0	0	1.000	2	13	66	0	0	0
Stats d'équipe Total ou en Moyenne		89	42	26	13	0.893	2.83	4962	6	4	234	2191	0	3	0	0.736	53	82	78	8	4	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	Salaire Année 6	Link
Alexandre Burrows	Anaheim	LW/RW	34	1981-04-11	No	188 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	2,750,000$	2,750,000$					Lien
Andrew Campbell	Anaheim	D	27	1988-02-04	No	206 Lbs	6 ft4	No	No	2	Avec Restriction	Pro & Farm	550,000$	550,000$					Lien
Ben Scrivens	Anaheim	G	29	1986-09-11	No	181 Lbs	6 ft2	No	No	0	Avec Restriction	Pro & Farm							Lien
Brent Regner	Anaheim	D	26	1989-05-17	No	189 Lbs	5 ft11	No	No	4	Avec Restriction	Pro & Farm	600,000$	600,000$	600,000$	600,000$			Lien
Cody Bass	Anaheim	C/LW/RW	28	1987-01-07	No	205 Lbs	6 ft0	No	No	0	Avec Restriction	Pro & Farm							Lien
Dainius Zubrus	Anaheim	C/LW/RW	37	1978-06-16	No	225 Lbs	6 ft5	No	No	1	Sans Restriction	Pro & Farm	1,525,051$						Lien
Drew Shore	Anaheim	C/RW	24	1991-01-29	No	205 Lbs	6 ft3	No	No	1	Avec Restriction	Pro & Farm	900,000$						Lien
Eric Fehr	Anaheim	C/LW/RW	30	1985-09-07	No	212 Lbs	6 ft4	No	No	2	Sans Restriction	Pro & Farm	1,800,000$	1,800,000$					Lien
Evgeni Malkin	Anaheim	C/LW/RW	29	1986-07-31	No	195 Lbs	6 ft3	No	No	2	Avec Restriction	Pro & Farm	8,000,000$	8,000,000$					Lien
Jared Cowen	Anaheim	D	24	1991-01-25	No	238 Lbs	6 ft5	No	No	1	Avec Restriction	Pro & Farm	2,100,000$						Lien
Jaroslav Halak	Anaheim	G	30	1985-05-13	No	181 Lbs	5 ft11	No	No	4	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	5,000,000$			Lien
Jayson Megna	Anaheim	C/RW	25	1990-02-01	No	195 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	925,000$	925,000$					Lien
John-Michael Liles	Anaheim	D	34	1980-11-25	No	185 Lbs	5 ft10	No	No	1	Sans Restriction	Pro & Farm	1,900,000$						Lien
Josh Anderson	Anaheim	LW/RW	21	1994-05-07	Yes	212 Lbs	6 ft3	No	No	3	Contrat d'Entrée	Pro & Farm	642,000$	642,000$	642,000$				Lien
Michael Frolik	Anaheim	LW/RW	27	1988-02-17	No	194 Lbs	6 ft1	No	No	1	Avec Restriction	Pro & Farm	1,250,000$						Lien
Michael Grabner	Anaheim	LW/RW	28	1987-10-05	No	181 Lbs	6 ft1	No	No	4	Avec Restriction	Pro & Farm	2,650,000$	2,650,000$	2,650,000$	2,650,000$			Lien
Michal Neuvirth	Anaheim	G	27	1988-03-23	No	209 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	1,300,000$	1,300,000$					Lien
Mikhail Grabovski	Anaheim	C/LW	31	1984-01-31	No	186 Lbs	5 ft11	Yes	No	2	Sans Restriction	Pro & Farm	3,000,000$	3,000,000$					Lien
Nate Thompson	Anaheim	C/LW	30	1984-10-05	No	212 Lbs	6 ft0	No	No	1	Sans Restriction	Pro & Farm	1,000,000$						Lien
Nick Schultz	Anaheim	D	33	1982-08-25	No	203 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	1,600,000$	1,600,000$					Lien
P.K. Subban	Anaheim	D	26	1989-05-13	No	210 Lbs	6 ft0	No	No	6	Avec Restriction	Pro & Farm	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	Lien
Patrick Wiercioch	Anaheim	D	25	1990-09-12	No	202 Lbs	6 ft5	No	No	3	Avec Restriction	Pro & Farm	1,750,000$	2,000,000$	2,500,000$				Lien
Phil Kessel	Anaheim	RW	28	1987-10-02	No	202 Lbs	6 ft0	No	No	4	Avec Restriction	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	6,000,000$			Lien
Sean Bergenheim	Anaheim	LW	31	1984-02-08	No	201 Lbs	5 ft11	No	No	1	Sans Restriction	Pro & Farm	2,750,000$						Lien
Stephen Gionta	Anaheim	C/RW	31	1983-10-09	No	175 Lbs	5 ft7	No	No	4	Sans Restriction	Pro & Farm	1,400,000$	1,400,000$	1,400,000$	1,400,000$			Lien
Torey Krug	Anaheim	D	24	1991-04-12	No	186 Lbs	5 ft9	No	No	3	Avec Restriction	Pro & Farm	3,000,000$	3,000,000$	3,000,000$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	28.42	199 Lbs	6 ft1	2.23	2,265,079$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
58,892,051$	47,717,000$	28,292,000$	22,150,000$	6,500,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Michael Frolik	Evgeni Malkin	Phil Kessel	40	1	1	3
2	Alexandre Burrows	Eric Fehr	Michael Grabner	30	1	2	2
3	Mikhail Grabovski	Nate Thompson	Dainius Zubrus	20	1	3	1
4	Sean Bergenheim	Drew Shore	Josh Anderson	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	P.K. Subban	Torey Krug	40	1	1	3
2	Nick Schultz	John-Michael Liles	30	1	2	2
3	Jared Cowen	Patrick Wiercioch	20	1	3	1
4	P.K. Subban	Torey Krug	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Michael Frolik	Evgeni Malkin	Phil Kessel	60	1	0	4
2	Alexandre Burrows	Eric Fehr	Michael Grabner	40	1	1	3

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	P.K. Subban	Torey Krug	60	1	1	3
2	Nick Schultz	John-Michael Liles	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Eric Fehr	Michael Grabner	60	1	4	0
2	Dainius Zubrus	Drew Shore	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	P.K. Subban	Torey Krug	60	1	3	1
2	Nick Schultz	John-Michael Liles	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Michael Grabner	60	1	2	2	P.K. Subban	Torey Krug	60	1	2	2
2	Eric Fehr	40	1	2	2	Nick Schultz	John-Michael Liles	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Evgeni Malkin	Phil Kessel	60	1	1	3
2	Michael Frolik	Alexandre Burrows	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	P.K. Subban	Torey Krug	60	1	2	2
2	Nick Schultz	John-Michael Liles	40	1	3	1

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Michael Frolik	Evgeni Malkin	Phil Kessel	P.K. Subban	Torey Krug

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Michael Frolik	Eric Fehr	Michael Grabner	P.K. Subban	Nick Schultz

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nate Thompson, Mikhail Grabovski, Dainius Zubrus	Nate Thompson, Mikhail Grabovski	Dainius Zubrus

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jared Cowen, Patrick Wiercioch, Nick Schultz	Jared Cowen	Patrick Wiercioch, Nick Schultz

Tirs de Pénalité
Evgeni Malkin, Phil Kessel, Michael Frolik, Alexandre Burrows, Eric Fehr

Gardien
#1 : Jaroslav Halak, #2 : Michal Neuvirth

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
Atlanta	2	1	0	0	0	1	0	0	6	5	1	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.750	6	8	14	0	0	3	0	3	0	58	22	17	18	1	63	18	20	40	8	1	12.50%	10	2	80.00%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	42	27	54	15	26	12
Boston	2	1	0	0	0	0	0	1	8	7	1	1	0	0	0	0	0	0	1	6	7	-1	1	1	0	0	0	0	0	0	2	0	2	3	0.750	8	16	24	0	1	5	2	1	0	53	18	20	15	3	55	16	22	45	7	1	14.29%	11	1	90.91%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	48	32	48	15	27	13
Buffalo	2	1	0	0	1	0	0	0	6	3	3	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	12	18	0	0	1	1	3	1	53	20	14	18	1	37	18	18	42	7	1	14.29%	9	1	88.89%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	46	30	51	15	26	12
Calgary	5	2	3	0	0	0	0	0	16	16	0	2	1	1	0	0	0	0	0	6	6	0	3	1	2	0	0	0	0	0	10	10	0	4	0.400	16	28	44	0	0	7	4	5	0	133	51	40	42	0	133	31	78	76	28	5	17.86%	20	2	90.00%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	120	81	114	39	65	32
Philadelphie	2	0	1	0	0	0	1	0	5	5	0	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	0	0	1	0	2	1	1	2	0.500	5	6	11	0	0	3	0	1	3	52	26	16	9	8	57	18	15	39	9	1	11.11%	5	0	100.00%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	47	32	52	15	25	12
Chicago	3	1	1	0	1	0	0	0	6	5	1	2	0	1	0	1	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	3	1	2	4	0.667	6	12	18	0	0	1	3	1	1	68	23	25	19	1	79	28	42	66	19	4	21.05%	16	2	87.50%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	71	46	71	23	37	18
Colorado	3	1	2	0	0	0	0	0	7	12	-5	2	1	1	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	1	3	-2	2	0.333	7	13	20	0	0	4	1	2	0	80	22	24	34	0	76	26	38	52	16	0	0.00%	18	2	88.89%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	67	46	74	22	37	17
Kansas City	3	3	0	0	0	0	0	0	12	5	7	1	1	0	0	0	0	0	0	4	3	1	2	2	0	0	0	0	0	0	8	2	6	6	1.000	12	23	35	0	1	3	6	3	0	69	21	29	19	0	82	30	28	43	19	3	15.79%	13	1	92.31%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	71	50	72	23	36	17
Detroit	2	1	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	0	3	-3	1	1	0	0	0	0	0	0	4	2	2	2	0.500	4	7	11	0	0	1	3	0	0	38	10	16	12	0	66	21	40	43	5	1	20.00%	15	2	86.67%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	39	24	53	16	26	12
Edmonton	5	3	0	0	0	1	1	0	17	12	5	3	2	0	0	0	1	0	0	12	9	3	2	1	0	0	0	0	1	0	5	3	2	9	0.900	17	26	43	0	0	3	7	6	1	155	40	54	59	5	119	33	74	86	31	4	12.90%	32	4	87.50%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	122	83	119	38	63	32
Islanders	2	0	1	0	0	1	0	0	3	5	-2	1	0	0	0	0	1	0	0	1	2	-1	1	0	1	0	0	0	0	0	2	3	-1	1	0.250	3	5	8	0	0	1	1	1	0	56	30	15	11	0	66	13	24	36	12	1	8.33%	10	2	80.00%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	43	28	51	16	24	11
LA Kings	5	1	1	0	1	1	0	1	15	19	-4	3	1	1	0	0	1	0	0	12	16	-4	2	0	0	0	1	0	0	1	3	3	0	6	0.600	15	28	43	0	0	2	6	6	3	105	30	33	40	9	146	51	46	87	28	4	14.29%	22	7	68.18%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	115	76	128	41	66	34
Minnesota	3	0	2	0	0	0	0	1	6	9	-3	1	0	0	0	0	0	0	1	2	3	-1	2	0	2	0	0	0	0	0	4	6	-2	1	0.167	6	12	18	0	0	3	2	1	0	79	19	24	35	4	85	24	43	60	20	1	5.00%	18	2	88.89%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	67	44	81	25	36	16
Hartford	2	1	1	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	2	0	2	2	0.500	4	7	11	0	1	1	3	0	0	47	14	20	13	0	49	8	23	35	7	2	28.57%	7	0	100.00%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	45	31	49	14	25	12
Ottawa	2	1	0	0	0	0	1	0	8	4	4	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	8	13	21	0	0	2	3	2	2	55	18	19	18	4	41	8	48	31	13	2	15.38%	13	2	84.62%	1	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	49	33	47	17	27	13
Pittsburgh	2	1	1	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	5	2	3	2	0.500	6	11	17	0	0	2	0	4	0	40	11	9	20	0	55	23	28	35	10	3	30.00%	13	2	84.62%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	41	26	53	15	24	11
Rangers	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	4	7	11	0	0	1	2	1	0	63	19	31	13	0	41	9	20	33	15	3	20.00%	9	0	100.00%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	47	31	44	16	27	14
San Jose	5	2	1	0	0	0	2	0	18	13	5	2	1	1	0	0	0	0	0	6	5	1	3	1	0	0	0	0	2	0	12	8	4	8	0.800	18	27	45	0	0	6	4	6	4	145	38	49	52	11	130	44	60	120	31	6	19.35%	27	3	88.89%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	124	83	120	39	64	32
St-Louis	3	1	1	0	1	0	0	0	12	16	-4	2	1	0	0	1	0	0	0	11	8	3	1	0	1	0	0	0	0	0	1	8	-7	4	0.667	12	23	35	0	0	7	2	2	1	90	34	33	21	2	110	20	59	66	10	3	30.00%	22	4	81.82%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	70	47	71	22	39	20
Tampa Bay	2	0	2	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	5	10	15	0	0	3	2	0	0	57	27	17	13	0	57	10	22	36	13	4	30.77%	11	2	81.82%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	43	28	50	16	26	12
Toronto	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	6	2	4	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	8	12	20	0	0	0	4	4	0	64	15	30	19	0	44	19	29	24	13	3	23.08%	12	1	91.67%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	52	37	42	14	24	11
Vancouver	5	1	2	0	0	0	0	2	17	23	-6	2	1	0	0	0	0	0	1	7	6	1	3	0	2	0	0	0	0	1	10	17	-7	4	0.400	17	30	47	0	0	7	4	6	0	133	46	46	41	8	156	29	63	65	26	6	23.08%	25	4	84.00%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	111	75	134	40	64	30
Quebec	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	3	1	2	4	1.000	10	17	27	0	0	4	2	4	0	66	24	22	20	0	43	21	39	33	14	5	35.71%	11	1	90.91%	1	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	45	30	47	15	26	13
Winnipeg	3	0	1	0	0	0	1	1	8	10	-2	1	0	1	0	0	0	0	0	1	3	-2	2	0	0	0	0	0	1	1	7	7	0	3	0.500	8	13	21	0	0	2	4	1	1	58	10	19	25	10	76	20	43	61	14	1	7.14%	19	2	89.47%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	78	52	69	23	41	21
Nashville	4	1	0	0	1	0	1	1	7	5	2	2	0	0	0	1	0	1	0	4	2	2	2	1	0	0	0	0	0	1	3	3	0	7	0.875	7	11	18	0	0	0	3	2	5	103	28	26	40	18	103	29	36	78	21	4	19.05%	17	1	94.12%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	105	73	94	30	52	26
Montreal	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	6	9	0	0	1	0	2	0	49	19	15	15	0	38	19	28	31	10	1	10.00%	11	3	72.73%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	47	31	46	15	26	13
Washington	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	9	15	24	0	0	2	7	0	0	66	11	34	21	0	63	14	33	54	14	3	21.43%	13	2	84.62%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	51	35	44	15	24	12
Caroline	2	0	1	0	0	1	0	0	5	7	-2	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.250	5	9	14	0	0	3	1	1	0	66	25	19	22	0	64	20	26	41	14	1	7.14%	12	1	91.67%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	51	34	46	15	25	12
Las Vegas	3	1	1	0	0	1	0	0	17	16	1	2	1	0	0	0	1	0	0	14	12	2	1	0	1	0	0	0	0	0	3	4	-1	3	0.500	17	28	45	0	0	10	6	1	0	77	26	28	23	0	75	30	42	51	23	9	39.13%	16	6	62.50%	1	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	72	48	68	22	39	20
Vs Division	29	10	7	0	2	2	4	4	90	88	2	14	6	3	0	1	2	1	1	47	44	3	15	4	4	0	1	0	3	3	43	44	-1	38	0.655	90	150	240	0	0	25	28	31	13	774	233	248	274	51	787	217	357	512	165	29	17.58%	143	21	85.31%	0	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	699	475	711	230	377	188
Vs Conference	50	17	15	0	4	3	5	6	158	161	-3	25	10	6	0	3	3	1	2	88	86	2	25	7	9	0	1	0	4	4	70	75	-5	61	0.610	158	274	432	0	1	55	52	42	16	1295	388	430	450	68	1370	395	652	911	286	50	17.48%	265	40	84.91%	1	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	1200	812	1221	392	645	321
Since Last GM Reset	82	30	27	0	5	6	7	7	252	248	4	41	14	12	0	4	6	2	3	140	142	-2	41	16	15	0	1	0	5	4	112	106	6	97	0.591	252	435	687	0	3	88	83	69	22	2178	697	744	707	85	2209	650	1087	1509	457	83	18.16%	437	62	85.81%	3	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	1943	1308	2009	643	1060	525
Total	82	30	27	0	5	6	7	7	252	248	4	41	14	12	0	4	6	2	3	140	142	-2	41	16	15	0	1	0	5	4	112	106	6	97	0.591	252	435	687	0	3	88	83	69	22	2178	697	744	707	85	2209	650	1087	1509	457	83	18.16%	437	62	85.81%	3	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	1943	1308	2009	643	1060	525

			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	97	L1	252	435	687	2178	2209	650	1087	1509	0	3

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	30	27	5	6	7	7	252	248

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	14	12	4	6	2	3	140	142

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	16	15	1	0	5	4	112	106

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	3	1	1	1	2

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
457	83	18.16%	437	62	85.81%	3

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
697	744	707	85	88	83	69	22

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
1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%

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
1943	1308	2009	643	1060	525

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	9	Anaheim	5	Kansas City	2	W			Sommaire du Match
4 - 2016-10-15	22	Anaheim	5	Pittsburgh	2	W			Sommaire du Match
5 - 2016-10-16	30	Anaheim	2	Islanders	3	L			Sommaire du Match
7 - 2016-10-18	38	Anaheim	2	Hartford	0	W			Sommaire du Match
9 - 2016-10-20	52	Anaheim	2	Philadelphie	1	W	X	X	Sommaire du Match
12 - 2016-10-23	78	Vancouver	2	Anaheim	1	L	X	X	Sommaire du Match
14 - 2016-10-25	93	Anaheim	5	San Jose	4	W	X	X	Sommaire du Match
15 - 2016-10-26	96	Las Vegas	5	Anaheim	4	L	X		Sommaire du Match
17 - 2016-10-28	112	Atlanta	4	Anaheim	3	L	X		Sommaire du Match
21 - 2016-11-01	138	Anaheim	3	LA Kings	2	W	X		Sommaire du Match
22 - 2016-11-02	145	Pittsburgh	2	Anaheim	1	L			Sommaire du Match
24 - 2016-11-04	158	Nashville	1	Anaheim	2	W	X	X	Sommaire du Match
26 - 2016-11-06	179	Calgary	2	Anaheim	5	W			Sommaire du Match
29 - 2016-11-09	193	Anaheim	3	Atlanta	1	W			Sommaire du Match
30 - 2016-11-10	205	Anaheim	3	Caroline	4	L			Sommaire du Match
32 - 2016-11-12	213	Anaheim	3	Las Vegas	4	L			Sommaire du Match
35 - 2016-11-15	242	Edmonton	3	Anaheim	5	W			Sommaire du Match
37 - 2016-11-17	251	Hartford	3	Anaheim	2	L			Sommaire du Match
40 - 2016-11-20	275	LA Kings	2	Anaheim	4	W			Sommaire du Match
42 - 2016-11-22	284	Islanders	2	Anaheim	1	L	X		Sommaire du Match
45 - 2016-11-25	311	Chicago	2	Anaheim	0	L			Sommaire du Match
46 - 2016-11-26	321	Anaheim	3	San Jose	1	W			Sommaire du Match
49 - 2016-11-29	340	Montreal	3	Anaheim	2	L			Sommaire du Match
51 - 2016-12-01	356	Anaheim	3	Vancouver	6	L			Sommaire du Match
53 - 2016-12-03	365	Anaheim	3	Edmonton	2	W			Sommaire du Match
54 - 2016-12-04	375	Anaheim	3	Calgary	4	L			Sommaire du Match
57 - 2016-12-07	393	Caroline	3	Anaheim	2	L	X		Sommaire du Match
59 - 2016-12-09	410	San Jose	3	Anaheim	1	L			Sommaire du Match
61 - 2016-12-11	421	Ottawa	3	Anaheim	4	W	X	X	Sommaire du Match
63 - 2016-12-13	435	Anaheim	3	Kansas City	0	W			Sommaire du Match
65 - 2016-12-15	445	Anaheim	2	Boston	0	W			Sommaire du Match
67 - 2016-12-17	464	Anaheim	4	Detroit	2	W			Sommaire du Match
69 - 2016-12-19	478	Anaheim	2	Toronto	5	L			Sommaire du Match
70 - 2016-12-20	485	Anaheim	1	Montreal	3	L			Sommaire du Match
72 - 2016-12-22	499	Anaheim	4	Ottawa	1	W			Sommaire du Match
77 - 2016-12-27	526	San Jose	2	Anaheim	5	W			Sommaire du Match
79 - 2016-12-29	541	Anaheim	1	Calgary	3	L			Sommaire du Match
80 - 2016-12-30	547	Anaheim	4	Vancouver	7	L			Sommaire du Match
82 - 2017-01-01	561	Philadelphie	4	Anaheim	3	L			Sommaire du Match
85 - 2017-01-04	574	Detroit	3	Anaheim	0	L			Sommaire du Match
87 - 2017-01-06	590	Nashville	1	Anaheim	2	W	X		Sommaire du Match
89 - 2017-01-08	608	Minnesota	3	Anaheim	2	L	X	X	Sommaire du Match
91 - 2017-01-10	618	Kansas City	3	Anaheim	4	W			Sommaire du Match
93 - 2017-01-12	630	Anaheim	1	Colorado	3	L			Sommaire du Match
95 - 2017-01-14	647	Anaheim	1	Nashville	2	L	X	X	Sommaire du Match
96 - 2017-01-15	654	St-Louis	6	Anaheim	7	W	X		Sommaire du Match
98 - 2017-01-17	671	Tampa Bay	9	Anaheim	3	L			Sommaire du Match
100 - 2017-01-19	683	Colorado	5	Anaheim	1	L			Sommaire du Match
102 - 2017-01-21	698	Anaheim	2	Minnesota	3	L			Sommaire du Match
104 - 2017-01-23	708	Anaheim	4	Winnipeg	3	W	X	X	Sommaire du Match
106 - 2017-01-25	727	Edmonton	3	Anaheim	5	W			Sommaire du Match
112 - 2017-01-31	744	Colorado	4	Anaheim	5	W			Sommaire du Match
115 - 2017-02-03	769	Anaheim	3	Quebec	1	W			Sommaire du Match
116 - 2017-02-04	776	Anaheim	2	Tampa Bay	3	L			Sommaire du Match
119 - 2017-02-07	791	Anaheim	0	Rangers	3	L			Sommaire du Match
121 - 2017-02-09	807	Anaheim	3	Buffalo	1	W			Sommaire du Match
123 - 2017-02-11	824	Anaheim	4	Washington	1	W			Sommaire du Match
126 - 2017-02-14	840	Anaheim	2	Minnesota	3	L			Sommaire du Match
129 - 2017-02-17	857	Quebec	3	Anaheim	7	W			Sommaire du Match
131 - 2017-02-19	875	LA Kings	5	Anaheim	4	L	X		Sommaire du Match
132 - 2017-02-20	881	Anaheim	2	Nashville	1	W			Sommaire du Match
134 - 2017-02-22	893	Boston	7	Anaheim	6	L	X	X	Sommaire du Match
137 - 2017-02-25	905	Anaheim	0	LA Kings	1	L	X	X	Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2017-03-03	947	Toronto	2	Anaheim	6	W			Sommaire du Match
145 - 2017-03-05	967	Vancouver	4	Anaheim	6	W			Sommaire du Match
147 - 2017-03-07	981	Las Vegas	7	Anaheim	10	W			Sommaire du Match
149 - 2017-03-09	994	Anaheim	3	Chicago	1	W			Sommaire du Match
150 - 2017-03-10	998	Anaheim	1	St-Louis	8	L			Sommaire du Match
152 - 2017-03-12	1014	Washington	4	Anaheim	5	W			Sommaire du Match
155 - 2017-03-15	1036	St-Louis	2	Anaheim	4	W			Sommaire du Match
157 - 2017-03-17	1052	Buffalo	2	Anaheim	3	W	X		Sommaire du Match
158 - 2017-03-18	1062	Anaheim	4	San Jose	3	W	X	X	Sommaire du Match
162 - 2017-03-22	1087	Edmonton	3	Anaheim	2	L	X		Sommaire du Match
164 - 2017-03-24	1104	Winnipeg	3	Anaheim	1	L			Sommaire du Match
166 - 2017-03-26	1121	Rangers	2	Anaheim	4	W			Sommaire du Match
168 - 2017-03-28	1135	Anaheim	3	Vancouver	4	L	X	X	Sommaire du Match
170 - 2017-03-30	1144	Anaheim	3	Winnipeg	4	L	X	X	Sommaire du Match
172 - 2017-04-01	1164	Anaheim	2	Edmonton	1	W	X	X	Sommaire du Match
173 - 2017-04-02	1174	Anaheim	6	Calgary	3	W			Sommaire du Match
175 - 2017-04-04	1184	Calgary	4	Anaheim	1	L			Sommaire du Match
177 - 2017-04-06	1194	Chicago	2	Anaheim	3	W	X		Sommaire du Match
180 - 2017-04-09	1227	LA Kings	9	Anaheim	4	L			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	3000	3000	1500
Prix des Billets	175	90	65	40	325
Assistance	187782	167313	84461	122805	42350
Attendance PCT	76.33%	81.62%	68.67%	99.84%	68.86%

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	14749 - 79.72%	1,490,200$	61,098,215$	18500	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
58,892,051$	59,079,551$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
56,971,807$	325,370$	56,469,025$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	328,133$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	59,073,480$	92,683,450$	92,683,450$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Evgeni Malkin	AGE:29	PO:0	OV:73
Michael Frolik	AGE:27	PO:0	OV:68
Alexandre Burrows	AGE:34	PO:0	OV:66
Eric Fehr	AGE:30	PO:0	OV:65
Michael Grabner	AGE:28	PO:0	OV:62
Mikhail Grabovski	AGE:31	PO:0	OV:62
Nate Thompson	AGE:30	PO:0	OV:62
Dainius Zubrus	AGE:37	PO:0	OV:61
Sean Bergenheim	AGE:31	PO:0	OV:60
*Josh Anderson	AGE:21	PO:0	OV:56
*Andy Andreoff	AGE:24	PO:0	OV:55
*Brock McGinn	AGE:21	PO:0	OV:53
Dennis Everberg	AGE:23	PO:0	OV:53
Tye McGinn	AGE:25	PO:0	OV:53
Luke Gazdic	AGE:26	PO:0	OV:51
*Joshua Ho-Sang	AGE:19	PO:0	OV:49
Cody Bass	AGE:28	PO:0	OV:48
*Michael Keranen	AGE:25	PO:0	OV:46
*Raphael Bussieres	AGE:21	PO:0	OV:46
*Remi Elie	AGE:20	PO:0	OV:46
*Emil Molin	AGE:22	PO:0	OV:41

Evgeni Malkin	AGE:29	PO:0	OV:73
Eric Fehr	AGE:30	PO:0	OV:65
Mikhail Grabovski	AGE:31	PO:0	OV:62
Nate Thompson	AGE:30	PO:0	OV:62
Dainius Zubrus	AGE:37	PO:0	OV:61
Stephen Gionta	AGE:31	PO:0	OV:60
Drew Shore	AGE:24	PO:0	OV:59
*Andy Andreoff	AGE:24	PO:0	OV:55
Rocco Grimaldi	AGE:22	PO:0	OV:55
Jayson Megna	AGE:25	PO:0	OV:55
Will Acton	AGE:28	PO:0	OV:51
*Joshua Ho-Sang	AGE:19	PO:0	OV:49
*Zack Phillips	AGE:22	PO:0	OV:49
Cody Bass	AGE:28	PO:0	OV:48
*Jordan Weal	AGE:23	PO:0	OV:48
*Michael Keranen	AGE:25	PO:0	OV:46
*Emil Molin	AGE:22	PO:0	OV:41
Philip McRae	AGE:25	PO:0	OV:40

Evgeni Malkin	AGE:29	PO:0	OV:73
Phil Kessel	AGE:28	PO:0	OV:70
Michael Frolik	AGE:27	PO:0	OV:68
Alexandre Burrows	AGE:34	PO:0	OV:66
Eric Fehr	AGE:30	PO:0	OV:65
Michael Grabner	AGE:28	PO:0	OV:62
Dainius Zubrus	AGE:37	PO:0	OV:61
Stephen Gionta	AGE:31	PO:0	OV:60
Drew Shore	AGE:24	PO:0	OV:59
*Josh Anderson	AGE:21	PO:0	OV:56
Rocco Grimaldi	AGE:22	PO:0	OV:55
Jayson Megna	AGE:25	PO:0	OV:55
Ryan Reaves	AGE:28	PO:0	OV:54
*Brock McGinn	AGE:21	PO:0	OV:53
Dennis Everberg	AGE:23	PO:0	OV:53
Tye McGinn	AGE:25	PO:0	OV:53
*Joshua Ho-Sang	AGE:19	PO:0	OV:49
*Zack Phillips	AGE:22	PO:0	OV:49
Cody Bass	AGE:28	PO:0	OV:48
*Jordan Weal	AGE:23	PO:0	OV:48
*Michael Keranen	AGE:25	PO:0	OV:46
*Raphael Bussieres	AGE:21	PO:0	OV:46
*Connor Chatham	AGE:19	PO:0	OV:45
*Cameron Abney	AGE:24	PO:0	OV:44
*Josh Birkholz	AGE:24	PO:0	OV:44
*Christophe Lalancette	AGE:21	PO:0	OV:41
Rhett Rakhshani	AGE:27	PO:0	OV:37

Défense #1

Défense #2

Gardien

P.K. Subban	AGE:26	PO:0	OV:72
Torey Krug	AGE:24	PO:0	OV:67
John-Michael Liles	AGE:34	PO:0	OV:65
Nick Schultz	AGE:33	PO:0	OV:65
Jared Cowen	AGE:24	PO:0	OV:63
Patrick Wiercioch	AGE:25	PO:0	OV:59
Raphael Diaz	AGE:29	PO:0	OV:56
Andrew Campbell	AGE:27	PO:0	OV:55

Brent Regner	AGE:26	PO:0	OV:52
*Gustav Olofsson	AGE:20	PO:0	OV:50
*Ryan Collins	AGE:19	PO:0	OV:46
*Jonathan-Ismael Diaby	AGE:20	PO:0	OV:45
*Justin Sefton	AGE:22	PO:0	OV:45
*Drew Olson	AGE:25	PO:0	OV:42
Shawn Lalonde	AGE:25	PO:0	OV:38

Jaroslav Halak	AGE:30	PO:0	OV:79
Michal Neuvirth	AGE:27	PO:0	OV:68
Ben Scrivens	AGE:29	PO:0	OV:57
Christopher Gibson	AGE:22	PO:0	OV:49
Alexander Pechurski	AGE:25	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
Garrett Pilon	Anaheim	2016	135
James Greenway	Anaheim	2016	109
Trent Frederic	Anaheim	2016	45

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	Ana Isl			Ana	Ana	Isl
2018	Ana		Ana	Ana	Ana		Col
2019	Ana	Ana	Ana	Ana	Ana	Ana	Ana
2020	Ana	Ana	Ana	Ana	Ana	Ana	Ana
2021	Ana	Ana	Ana	Ana	Ana	Ana	Ana

[2016-09-11 15:34:27] - Josh Anderson was added to Anaheim.
[2016-10-02 22:26:00] - TRADE : From Anaheim to Washington : Eric Brewer (23), Y:2018-RND:7-Ana.
[2016-10-02 22:26:00] - TRADE : From Washington to Anaheim : 1 $ (Money).
[2016-10-02 22:26:46] - Evgeni Malkin was added to Anaheim.
[2016-10-02 22:26:48] - TRADE : From Anaheim to Colorado : Seth Jones (65), Y:2017-RND:3-Ana, Y:2018-RND:2-Ana.
[2016-10-02 22:26:48] - TRADE : From Colorado to Anaheim : Evgeni Malkin (73), Y:2018-RND:7-Col.
[2016-10-12 20:00:12] - P.K. Subban is no longer captain for Anaheim.
[2016-10-12 20:00:12] - Patrick Sharp has been selected as captain for Anaheim.
[2016-10-12 20:00:12] - Unknown Player is no longer as assistant for Anaheim.
[2016-10-12 20:00:12] - Eric Fehr has been selected as assistant for Anaheim.
[2016-10-12 20:00:12] - Unknown Player is no longer as assistant for Anaheim.
[2016-10-12 20:00:12] - Evgeni Malkin has been selected as assistant for Anaheim.
[2016-10-13 20:00:20] - New Record for Team's Most Shots Blocked (16) in 1 Game for Anaheim!
[2016-10-14 21:59:10] - Drew Shore was added to Anaheim.
[2016-10-14 21:59:10] - Nick Schultz was added to Anaheim.
[2016-10-14 21:59:11] - TRADE : From Anaheim to Kansas City : Tyler Bertuzzi (45).
[2016-10-14 21:59:11] - TRADE : From Kansas City to Anaheim : Drew Shore (58), Nick Schultz (65).
[2016-10-25 20:49:17] - New Record for Team's Most Shots Blocked (17) in 1 Game for Anaheim!
[2016-12-11 20:00:19] - Patrick Sharp is no longer captain for Anaheim.
[2016-12-11 20:00:19] - Matt Duchene has been selected as captain for Anaheim.
[2016-12-11 20:00:19] - Eric Fehr is no longer as assistant for Anaheim.
[2016-12-11 20:00:19] - Duncan Keith has been selected as assistant for Anaheim.
[2016-12-11 20:00:19] - Evgeni Malkin is no longer as assistant for Anaheim.
[2016-12-11 20:00:19] - Brian Gionta has been selected as assistant for Anaheim.
[2016-12-11 20:00:19] - Unknown Player is no longer as assistant for Admirals.
[2016-12-11 20:00:19] - Michael Blunden has been selected as assistant for Admirals.
[2016-12-11 20:00:19] - Unknown Player is no longer as assistant for Admirals.
[2016-12-11 20:00:19] - Mitch Moroz has been selected as assistant for Admirals.
[2016-12-15 21:13:26] - TRADE : From Anaheim to Vancouver : Iiro Pakarinen (56).
[2017-02-02 20:56:14] - Jordan Weal was added to Anaheim.
[2017-02-02 20:56:15] - TRADE : From Islanders to Anaheim : Jordan Weal (48), Y:2017-RND:1-Isl, Y:2017-RND:6-Isl.
[2017-02-02 20:56:15] - TRADE : From Anaheim to Islanders : Patrick Sharp (71).
[2017-02-11 20:00:24] - New Record for Team's Most Hits (39) in 1 Game for Anaheim!
[2017-03-02 00:03:29] - John-Michael Liles was added to Anaheim.
[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.
[2017-03-08 00:50:37] - New Record for Team's Most Goals (10) in 1 Game for Anaheim!
[2017-03-08 00:50:37] - New Record for Team's Most Assists (16) in 1 Game for Anaheim!
[2017-03-08 00:50:37] - New Record for Team's Most Points (26) in 1 Game for Anaheim!

Ben Scrivens est suspendu indéfiniement.
Cody Bass est suspendu indéfiniement.

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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
Saison Régulière
2016	82	30	27	0	5	6	7	7	252	248	4	41	14	12	0	4	6	2	3	140	142	-2	41	16	15	0	1	0	5	4	112	106	6	60	252	435	687	0	3	88	83	69	22	2178	697	744	707	85	2209	650	1087	1509	457	83	18.16%	437	62	85.81%	3	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	1943	1308	2009	643	1060	525
Total Saison Régulière	82	30	27	0	5	6	7	7	252	248	4	41	14	12	0	4	6	2	3	140	142	-2	41	16	15	0	1	0	5	4	112	106	6	60	252	435	687	0	3	88	83	69	22	2178	697	744	707	85	2209	650	1087	1509	457	83	18.16%	437	62	85.81%	3	1340	2725	49.17%	1397	2859	48.86%	677	1342	50.45%	1943	1308	2009	643	1060	525