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	Patrice Bergeron (A)	X				100.00	59	43	81	80	67	80	94	76	91	77	75	77	49	74	66	0	84	73	0
2	Rick Nash		X	X		100.00	62	35	83	71	77	75	79	76	38	74	77	71	44	73	62	0	87	71	0
3	Mats Zuccarello		X	X		100.00	58	43	84	86	52	76	95	75	35	76	73	64	66	52	47	0	85	70	0
4	Antoine Vermette	X				100.00	55	35	72	79	68	76	93	69	89	66	71	64	58	73	64	0	62	69	0
5	Brad Marchand		X			100.00	56	43	69	84	54	77	93	72	35	65	79	73	47	59	53	0	85	69	0
6	Mark Stone			X		100.00	56	35	84	78	72	75	82	75	42	78	72	69	50	42	39	0	87	69	0
7	Mike Fisher (A)	X				100.00	67	50	83	71	75	76	82	66	87	61	71	71	56	82	72	0	85	69	0
8	Nino Niederreiter		X	X		100.00	74	43	84	75	73	72	95	67	35	61	72	63	56	48	43	0	80	66	0
9	Vincent Trocheck	X		X		100.00	63	35	81	81	55	71	76	68	82	65	71	71	47	44	36	0	67	66	0
10	Tommy Wingels		X	X		100.00	88	61	76	72	69	69	86	59	41	55	62	68	56	52	47	0	70	64	0
11	Brock Nelson	X	X			100.00	58	35	86	74	72	69	90	64	80	56	71	66	45	47	37	0	82	64	0
12	Nick Cousins	X				100.00	54	35	91	74	49	55	41	54	61	48	60	68	61	35	32	0	81	56	0
13	John Carlson (C)				X	100.00	63	43	87	74	71	83	78	70	35	78	61	86	56	59	51	0	87	72	0
14	Brian Campbell				X	100.00	55	43	87	76	61	81	95	57	35	63	51	78	45	82	74	0	79	70	0
15	Alexander Edler				X	100.00	77	43	76	67	71	85	74	61	35	63	58	80	48	66	57	0	78	69	0
16	Jake Muzzin				X	100.00	74	35	79	72	72	78	94	59	35	64	53	78	48	50	47	0	76	69	0
17	Zbynek Michalek				X	100.00	62	43	87	62	69	74	86	47	35	45	49	84	48	67	57	0	76	66	0
18	Cody Franson				X	100.00	62	43	84	63	81	74	79	57	35	60	53	72	48	56	47	0	85	65	0
Rayé
1	Michael Cammalleri	X	X			98.09	49	35	84	84	56	79	67	78	83	78	77	66	52	67	58	0	76	71	0
2	Justin Schultz				X	100.00	57	43	88	70	63	75	84	55	35	57	53	69	45	47	42	0	48	63	0

	MOYENNE D'ÉQUIPE					99.90	62	41	82	75	66	75	83	65	52	65	65	72	51	59	52	0	78	68

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Braden Holtby	100.00	93	99	97	82	93	92	93	92	90	74	83	52	47	0	80	84	0
2	Jonathan Bernier	100.00	75	66	92	66	76	77	76	76	78	79	78	51	49	0	64	71	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	84	83	95	74	85	85	85	84	84	77	81	52	48	0	72	78

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bill Peters	89	91	83	99	76	62	83	CAN	56	3	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	John Carlson	St-Louis	D	82	13	68	81	40	48	20	59	121	127	0	10.24%	131	2024	24.69	8	14	22	86	353	0	1	1	3	314	0	1	0.00%	0	0	0	0.80	0	1	1	1	2	3	5	3
2	Patrice Bergeron	St-Louis	C	80	26	52	78	23	31	5	109	186	270	0	9.63%	12	1611	20.15	5	20	25	71	335	0	0	0	6	302	5	0	55.39%	2179	0	1	0.97	3	15	0	1	0	6	5	4
3	Mark Stone	St-Louis	RW	82	29	48	77	25	34	0	80	102	219	0	13.24%	14	1637	19.97	9	20	29	56	327	0	0	0	13	341	2	2	34.59%	133	0	1	0.94	0	0	0	0	0	3	3	4
4	Michael Cammalleri	St-Louis	C/LW	77	32	43	75	19	14	0	42	124	214	0	14.95%	10	1301	16.91	13	19	32	66	323	0	0	0	1	17	3	3	53.53%	1020	0	2	1.15	7	13	0	0	0	4	5	2
5	Mats Zuccarello	St-Louis	LW/RW	82	31	40	71	33	55	25	75	107	206	0	15.05%	6	1306	15.93	7	10	17	35	242	0	0	0	2	88	5	0	27.21%	136	0	0	1.09	2	9	1	1	3	7	5	5
6	Rick Nash	St-Louis	LW/RW	82	31	31	62	24	42	0	109	80	216	0	14.35%	9	1410	17.20	6	14	20	44	294	0	0	0	6	130	6	1	38.89%	108	0	0	0.88	1	6	0	0	0	5	8	3
7	Vincent Trocheck	St-Louis	C/RW	83	26	36	62	16	60	0	81	126	198	0	13.13%	11	1374	16.56	5	9	14	47	219	1	0	1	6	113	8	2	49.21%	955	0	0	0.90	0	2	0	0	0	3	4	3
8	Brad Marchand	St-Louis	LW	82	30	30	60	21	59	15	108	85	216	0	13.89%	11	1385	16.89	10	9	19	52	337	0	0	0	0	39	6	2	23.08%	104	0	1	0.87	2	4	0	1	2	4	3	9
9	Brian Campbell	St-Louis	D	82	7	52	59	26	61	15	48	59	111	0	6.31%	95	1744	21.28	3	15	18	59	339	0	1	1	1	161	1	1	0.00%	0	0	0	0.68	0	0	0	2	1	1	1	4
10	Mike Fisher	St-Louis	C	82	23	23	46	22	76	30	109	145	136	0	16.91%	13	1260	15.37	0	1	1	0	7	1	0	1	6	264	7	3	56.99%	1616	0	0	0.73	0	0	1	1	4	2	3	3
11	Nino Niederreiter	St-Louis	LW/RW	81	15	27	42	13	46	0	110	51	155	0	9.68%	6	1121	13.85	3	6	9	26	122	0	0	0	0	16	1	1	29.36%	109	0	0	0.75	0	2	0	0	0	2	1	2
12	Jake Muzzin	St-Louis	D	81	6	35	41	25	157	5	189	68	56	0	10.71%	105	1686	20.82	1	2	3	22	111	0	0	0	0	251	1	0	0.00%	0	0	0	0.49	0	0	0	1	0	2	1	1
13	Antoine Vermette	St-Louis	C	78	15	23	38	8	16	0	71	135	146	0	10.27%	9	1144	14.67	1	5	6	22	167	0	0	0	3	91	1	1	56.26%	1365	0	0	0.66	1	3	0	0	0	1	2	5
14	Alexander Edler	St-Louis	D	74	12	23	35	34	153	25	168	47	71	0	16.90%	93	1706	23.06	8	10	18	45	313	0	0	0	0	257	2	0	0.00%	0	0	0	0.41	0	0	0	3	2	3	2	2
15	Tommy Wingels	St-Louis	LW/RW	85	15	19	34	-19	145	45	208	65	116	0	12.93%	13	1221	14.37	4	8	12	23	166	0	0	0	1	195	3	1	35.92%	103	0	1	0.56	0	0	2	1	5	2	2	3
16	Zbynek Michalek	St-Louis	D	79	9	20	29	3	84	20	68	76	72	0	12.50%	96	1598	20.23	5	3	8	34	219	0	0	0	1	293	2	1	0.00%	0	0	0	0.36	0	0	0	0	4	1	1	3
17	Cody Franson	St-Louis	D	62	3	14	17	6	48	0	75	29	30	0	10.00%	28	1036	16.72	0	1	1	10	103	0	0	0	0	85	0	0	0.00%	0	0	0	0.33	0	0	0	0	0	1	0	1
18	Justin Schultz	St-Louis	D	41	2	15	17	9	12	0	19	22	27	0	7.41%	22	670	16.36	2	3	5	20	171	0	0	0	0	20	0	1	0.00%	0	0	0	0.51	0	0	0	0	0	0	0	0
19	Brock Nelson	St-Louis	C/LW	81	9	7	16	11	16	0	24	69	87	0	10.34%	6	689	8.52	0	0	0	0	0	0	0	0	0	2	0	3	50.96%	467	0	0	0.46	0	0	0	0	0	2	2	0
20	Nick Cousins	St-Louis	C	5	0	0	0	-4	2	0	1	7	7	0	0.00%	0	32	6.56	0	0	0	0	0	0	0	0	0	0	0	0	36.67%	30	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne			1481	334	606	940	335	1159	205	1753	1704	2680	0	12.46%	690	25965	17.53	90	169	259	718	4157	2	2	4	49	2990	53	23	52.60%	8325	0	6	0.72	16	55	5	12	23	52	53	57

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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	Braden Holtby	St-Louis	70	45	14	9	0.906	2.37	4121	4	5	163	1727	0	1	0	0.706	51	67	14	9	3	2
2	Jonathan Bernier	St-Louis	23	9	8	2	0.853	3.82	1101	2	0	70	476	0	1	1	0.000	0	18	62	0	0	1
Stats d'équipe Total ou en Moyenne		93	54	22	11	0.894	2.68	5222	6	5	233	2203	0	2	1	0.706	51	85	76	9	3	3

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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
Alexander Edler	St-Louis	D	29	1986-04-21	No	215 Lbs	6 ft3	No	No	2	Avec Restriction	Pro & Farm	3,500,000$	3,500,000$					Lien
Antoine Vermette	St-Louis	C	33	1982-07-20	No	198 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	3,000,000$	2,500,000$					Lien
Brad Marchand	St-Louis	LW	27	1988-05-11	No	181 Lbs	5 ft9	No	No	2	Avec Restriction	Pro & Farm	2,875,000$	2,875,000$					Lien
Braden Holtby	St-Louis	G	26	1989-09-16	No	217 Lbs	6 ft2	No	No	2	Avec Restriction	Pro & Farm	3,000,000$	3,000,000$					Lien
Brian Campbell	St-Louis	D	36	1979-05-23	No	192 Lbs	5 ft10	Yes	No	1	Sans Restriction	Pro & Farm	5,250,000$						Lien
Brock Nelson	St-Louis	C/LW	23	1991-10-15	No	206 Lbs	6 ft3	No	No	2	Avec Restriction	Pro & Farm	900,000$	900,000$					Lien
Cody Franson	St-Louis	D	28	1987-08-08	No	234 Lbs	6 ft5	No	No	2	Avec Restriction	Pro & Farm	2,250,000$	2,250,000$					Lien
Jake Muzzin	St-Louis	D	26	1989-02-21	No	216 Lbs	6 ft3	No	No	4	Avec Restriction	Pro & Farm	2,100,000$	2,100,000$	2,100,000$	2,100,000$			Lien
John Carlson	St-Louis	D	25	1990-01-10	No	215 Lbs	6 ft3	No	No	2	Avec Restriction	Pro & Farm	3,750,000$	3,750,000$					Lien
Jonathan Bernier	St-Louis	G	27	1988-08-07	No	184 Lbs	6 ft0	No	No	6	Avec Restriction	Pro & Farm	3,350,000$	3,350,000$	3,350,000$	3,350,000$	3,350,000$	3,350,000$	Lien
Justin Schultz	St-Louis	D	25	1990-07-06	No	193 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	925,000$						Lien
Mark Stone	St-Louis	RW	23	1992-05-13	No	205 Lbs	6 ft3	No	No	1	Avec Restriction	Pro & Farm	605,000$						Lien
Mats Zuccarello	St-Louis	LW/RW	28	1987-09-01	No	179 Lbs	5 ft7	No	No	4	Avec Restriction	Pro & Farm	2,800,000$	2,800,000$	2,800,000$	2,800,000$			Lien
Michael Cammalleri	St-Louis	C/LW	33	1982-06-08	No	185 Lbs	5 ft9	No	No	2	Sans Restriction	Pro & Farm	3,750,000$	3,750,000$					Lien
Mike Fisher (Contrat à 1 Volet)	St-Louis	C	35	1980-06-05	No	216 Lbs	6 ft1	Yes	No	2	Sans Restriction	Pro & Farm	2,775,000$	2,775,000$					Lien
Nick Cousins	St-Louis	C	22	1993-07-20	No	169 Lbs	5 ft10	No	No	3	Avec Restriction	Pro & Farm	843,000$	843,000$	843,000$				Lien
Nino Niederreiter	St-Louis	LW/RW	23	1992-09-08	No	211 Lbs	6 ft2	No	No	4	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	1,200,000$			Lien
Patrice Bergeron	St-Louis	C	30	1985-07-24	No	195 Lbs	6 ft1	No	No	6	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	6,250,000$	6,250,000$	6,500,000$	7,000,000$	Lien
Rick Nash	St-Louis	LW/RW	31	1984-06-16	No	220 Lbs	6 ft4	Yes	No	6	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	7,000,000$	7,000,000$	7,000,000$	Lien
Tommy Wingels	St-Louis	LW/RW	27	1988-04-12	No	200 Lbs	6 ft0	No	No	1	Avec Restriction	Pro & Farm	2,250,000$						Lien
Vincent Trocheck	St-Louis	C/RW	22	1993-07-11	No	182 Lbs	5 ft10	No	No	2	Avec Restriction	Pro & Farm	693,000$	693,000$					Lien
Zbynek Michalek	St-Louis	D	32	1982-12-23	No	210 Lbs	6 ft2	No	No	1	Sans Restriction	Pro & Farm	3,500,000$						Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	27.77	201 Lbs	6 ft1	2.64	2,741,636$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
60,316,000$	47,286,000$	21,543,000$	22,700,000$	16,850,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brad Marchand	Antoine Vermette	Rick Nash	27	0	1	4
2	Mats Zuccarello	Patrice Bergeron	Mark Stone	27	0	1	4
3	Nino Niederreiter	Mike Fisher	Vincent Trocheck	27	0	2	3
4	Brock Nelson	Nick Cousins	Tommy Wingels	19	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Alexander Edler	30	0	2	3
2	Brian Campbell	Jake Muzzin	30	0	2	3
3	Cody Franson	Zbynek Michalek	30	0	2	3
4	John Carlson	Jake Muzzin	10	0	3	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Rick Nash	Vincent Trocheck	Nino Niederreiter	51	0	0	5
2	Mats Zuccarello	Antoine Vermette	Mark Stone	49	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Alexander Edler	54	0	1	4
2	Brian Campbell	Jake Muzzin	46	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Patrice Bergeron	Mark Stone	52	1	4	0
2	Vincent Trocheck	Rick Nash	48	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Jake Muzzin	52	1	4	0
2	Zbynek Michalek	Alexander Edler	48	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Stone	55	1	4	0	John Carlson	Alexander Edler	51	1	4	0
2	Mike Fisher	45	1	4	0	Zbynek Michalek	Jake Muzzin	49	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Patrice Bergeron	Vincent Trocheck	52	0	1	4
2	Mike Fisher	Mats Zuccarello	48	0	1	4

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Alexander Edler	51	0	2	3
2	Brian Campbell	Jake Muzzin	49	0	2	3

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Vincent Trocheck	Antoine Vermette	Brad Marchand	John Carlson	Brian Campbell

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Rick Nash	Mike Fisher	Mark Stone	John Carlson	Zbynek Michalek

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Vincent Trocheck, Rick Nash, Nino Niederreiter	Vincent Trocheck, Nino Niederreiter	Mats Zuccarello

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jake Muzzin, Alexander Edler, Brian Campbell	Jake Muzzin	Zbynek Michalek, Brian Campbell

Tirs de Pénalité
Mark Stone, Brad Marchand, Mats Zuccarello, Rick Nash, Vincent Trocheck

Gardien
#1 : Jonathan Bernier, #2 : Braden Holtby

Lignes d'Attaque Perso. en Prol.
, Brad Marchand, Rick Nash, Mats Zuccarello, , , , Mark Stone, Mike Fisher, Vincent Trocheck,

Lignes de Défense Perso. en Prol.
John Carlson, Brian Campbell, , ,

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	3	1	1	0	0	1	0	0	16	12	4	1	1	0	0	0	0	0	0	8	1	7	2	0	1	0	0	1	0	0	8	11	-3	3	0.500	16	30	46	0	0	7	6	3	0	110	28	52	30	0	90	25	35	52	22	4	18.18%	10	3	70.00%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	71	49	70	22	39	19
Atlanta	2	1	0	0	0	0	1	0	9	5	4	1	1	0	0	0	0	0	0	5	2	3	1	0	0	0	0	0	1	0	4	3	1	4	1.000	9	13	22	0	0	5	2	1	2	65	25	19	20	6	56	15	16	45	14	1	7.14%	7	0	100.00%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	49	33	50	15	24	12
Boston	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	2	1	1	4	1.000	10	16	26	0	0	3	5	2	0	67	21	32	14	0	48	7	19	53	8	2	25.00%	7	2	71.43%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	50	35	42	12	27	14
Buffalo	2	1	0	0	0	0	1	0	9	5	4	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	9	14	23	0	0	3	2	3	2	62	29	11	20	4	39	17	16	33	11	1	9.09%	8	2	75.00%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	57	40	41	15	26	13
Calgary	3	3	0	0	0	0	0	0	15	7	8	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	5	3	2	6	1.000	15	27	42	0	0	6	5	4	0	98	31	31	36	0	55	19	41	52	24	6	25.00%	13	2	84.62%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	75	51	64	22	39	21
Philadelphie	2	1	1	0	0	0	0	0	1	1	0	1	1	0	0	0	0	0	0	1	0	1	1	0	1	0	0	0	0	0	0	1	-1	2	0.500	1	2	3	0	1	0	1	0	0	54	20	13	21	0	43	17	15	49	11	0	0.00%	5	0	100.00%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	51	35	42	14	26	13
Chicago	5	2	2	0	0	0	0	1	15	13	2	3	1	1	0	0	0	0	1	9	8	1	2	1	1	0	0	0	0	0	6	5	1	5	0.500	15	30	45	0	1	4	7	4	1	143	45	60	38	4	150	48	74	98	30	4	13.33%	32	3	90.63%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	118	79	122	39	63	30
Colorado	5	2	2	0	0	0	0	1	18	19	-1	2	0	2	0	0	0	0	0	7	10	-3	3	2	0	0	0	0	0	1	11	9	2	5	0.500	18	31	49	0	0	9	3	6	0	158	44	56	53	11	119	36	74	77	24	5	20.83%	31	8	74.19%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	123	83	115	37	65	33
Kansas City	4	2	1	0	0	0	1	0	13	11	2	2	1	1	0	0	0	0	0	6	6	0	2	1	0	0	0	0	1	0	7	5	2	6	0.750	13	22	35	0	0	2	4	6	2	121	38	38	44	4	115	36	47	79	12	3	25.00%	19	1	94.74%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	96	64	95	29	52	28
Detroit	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	5	3	2	4	1.000	8	15	23	0	1	2	5	1	0	61	20	20	21	0	67	21	30	39	14	3	21.43%	14	1	92.86%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	52	35	41	15	25	13
Edmonton	3	1	1	0	0	0	1	0	7	7	0	2	0	1	0	0	0	1	0	5	6	-1	1	1	0	0	0	0	0	0	2	1	1	4	0.667	7	11	18	0	0	2	1	3	1	94	34	29	28	5	78	23	32	46	15	1	6.67%	15	2	86.67%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	83	60	64	21	37	18
Islanders	2	1	1	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	8	13	21	0	0	3	4	1	0	43	16	12	15	0	44	18	20	37	11	2	18.18%	10	3	70.00%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	46	31	47	14	25	13
LA Kings	3	0	0	0	0	0	0	3	12	15	-3	1	0	0	0	0	0	0	1	3	4	-1	2	0	0	0	0	0	0	2	9	11	-2	3	0.500	12	24	36	0	0	4	6	2	1	95	27	36	29	13	85	18	26	67	15	3	20.00%	12	4	66.67%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	85	61	69	22	39	20
Minnesota	5	2	1	0	0	0	1	1	18	12	6	2	1	0	0	0	0	0	1	7	4	3	3	1	1	0	0	0	1	0	11	8	3	7	0.700	18	31	49	0	0	6	4	7	3	135	54	42	37	11	171	44	79	97	30	7	23.33%	28	3	89.29%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	123	84	123	38	62	30
Hartford	2	1	1	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	0	2	-2	2	0.500	5	10	15	0	0	1	3	1	0	53	18	19	16	0	52	17	25	36	12	3	25.00%	10	2	80.00%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	45	30	49	15	24	12
Ottawa	2	2	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	8	15	23	0	1	1	5	2	0	47	19	19	9	0	47	9	21	38	11	2	18.18%	8	0	100.00%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	46	32	47	15	26	13
Pittsburgh	2	1	0	0	1	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	1	0	0	0	3	2	1	4	1.000	5	8	13	0	0	2	0	2	1	49	21	12	15	1	63	18	35	52	7	2	28.57%	15	1	93.33%	1	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	44	29	51	16	24	11
Rangers	2	0	1	0	0	1	0	0	5	8	-3	1	0	0	0	0	1	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0.250	5	10	15	0	0	2	3	0	0	50	16	13	20	1	62	14	21	41	7	0	0.00%	8	1	87.50%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	54	38	43	15	25	13
San Jose	3	3	0	0	0	0	0	0	16	5	11	1	1	0	0	0	0	0	0	5	2	3	2	2	0	0	0	0	0	0	11	3	8	6	1.000	16	25	41	0	0	7	3	6	0	111	39	33	39	0	63	19	29	42	24	5	20.83%	12	2	83.33%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	85	61	58	22	35	19
Tampa Bay	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	6	3	3	4	1.000	8	15	23	0	0	3	4	1	0	54	17	20	17	0	58	11	14	34	6	0	0.00%	7	1	85.71%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	46	30	47	15	26	13
Toronto	2	2	0	0	0	0	0	0	12	5	7	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	5	3	2	4	1.000	12	21	33	0	0	4	6	2	0	84	31	28	25	0	41	26	25	35	11	1	9.09%	10	2	80.00%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	60	45	34	12	25	14
Vancouver	3	3	0	0	0	0	0	0	14	6	8	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	5	2	3	6	1.000	14	25	39	0	0	5	4	5	0	84	28	33	23	0	64	28	46	55	15	2	13.33%	17	3	82.35%	1	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	71	47	69	22	38	19
Quebec	2	0	1	0	0	0	0	1	7	10	-3	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	4	6	-2	1	0.250	7	12	19	1	0	3	1	3	1	46	21	10	14	4	39	11	35	37	5	1	20.00%	14	3	78.57%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	47	33	53	15	24	11
Winnipeg	5	3	1	0	1	0	0	0	18	15	3	3	2	1	0	0	0	0	0	8	7	1	2	1	0	0	1	0	0	0	10	8	2	8	0.800	18	31	49	0	0	11	5	1	1	143	48	44	49	2	141	40	51	114	27	6	22.22%	21	7	66.67%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	122	83	113	36	65	35
Nashville	3	0	3	0	0	0	0	0	9	12	-3	1	0	1	0	0	0	0	0	2	3	-1	2	0	2	0	0	0	0	0	7	9	-2	0	0.000	9	16	25	0	0	2	1	6	0	82	23	24	35	0	80	35	58	67	14	2	14.29%	17	2	88.24%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	71	50	73	20	34	17
Montreal	2	0	1	0	0	0	1	0	8	9	-1	1	0	0	0	0	0	1	0	6	5	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	8	11	19	0	0	2	4	1	2	53	18	10	20	7	46	13	31	40	12	1	8.33%	13	2	84.62%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	53	35	45	16	26	13
Washington	2	1	0	0	0	0	0	1	7	5	2	1	0	0	0	0	0	0	1	2	3	-1	1	1	0	0	0	0	0	0	5	2	3	3	0.750	7	12	19	0	0	3	3	1	0	74	23	22	26	8	33	22	14	31	7	0	0.00%	6	0	100.00%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	58	42	39	13	26	14
Caroline	2	1	0	0	0	0	1	0	7	4	3	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	11	18	0	0	2	1	3	1	77	19	23	34	3	33	13	52	50	13	1	7.69%	7	1	85.71%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	56	39	41	14	26	13
Las Vegas	5	5	0	0	0	0	0	0	26	16	10	3	3	0	0	0	0	0	0	15	10	5	2	2	0	0	0	0	0	0	11	6	5	10	1.000	26	50	76	0	1	8	10	8	0	143	50	41	52	0	121	44	75	89	27	11	40.74%	30	7	76.67%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	127	90	110	35	62	33
Vs Division	29	16	7	0	1	0	2	3	108	86	22	15	8	5	0	0	0	0	2	52	45	7	14	8	2	0	1	0	2	1	56	41	15	41	0.707	108	195	303	0	2	40	33	32	7	843	279	281	273	32	817	248	400	554	150	36	24.00%	161	29	81.99%	0	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	712	486	680	217	372	191
Vs Conference	50	27	12	0	1	1	3	6	197	150	47	25	14	7	0	0	0	1	3	94	69	25	25	13	5	0	1	1	2	3	103	81	22	69	0.690	197	353	550	0	2	73	59	61	9	1517	489	519	493	50	1332	415	667	935	279	59	21.15%	257	47	81.71%	1	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	1258	868	1151	372	637	327
Since Last GM Reset	82	45	18	0	2	2	7	8	314	229	85	41	24	7	0	0	1	4	5	157	104	53	41	21	11	0	2	1	3	3	157	125	32	118	0.720	314	551	865	1	5	112	108	85	18	2456	823	802	800	84	2103	664	1056	1585	439	79	18.00%	406	68	83.25%	2	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	2080	1438	1872	609	1049	541
Total	82	45	18	0	2	2	7	8	314	229	85	41	24	7	0	0	1	4	5	157	104	53	41	21	11	0	2	1	3	3	157	125	32	118	0.720	314	551	865	1	5	112	108	85	18	2456	823	802	800	84	2103	664	1056	1585	439	79	18.00%	406	68	83.25%	2	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	2080	1438	1872	609	1049	541

			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	118	L1	314	551	865	2456	2103	664	1056	1585	1	5

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	45	18	2	2	7	8	314	229

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	24	7	0	1	4	5	157	104

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	21	11	2	1	3	3	157	125

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	4	0	0	0	1

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
439	79	18.00%	406	68	83.25%	2

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
823	802	800	84	112	108	85	18

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
1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%

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
2080	1438	1872	609	1049	541

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
1 - 2016-10-12	2	St-Louis	4	Chicago	5	L			Sommaire du Match
2 - 2016-10-13	7	Minnesota	2	St-Louis	1	L	X	X	Sommaire du Match
4 - 2016-10-15	26	Rangers	5	St-Louis	4	L	X		Sommaire du Match
7 - 2016-10-18	37	St-Louis	5	Vancouver	2	W			Sommaire du Match
9 - 2016-10-20	60	St-Louis	2	Edmonton	1	W			Sommaire du Match
11 - 2016-10-22	72	St-Louis	5	Calgary	3	W			Sommaire du Match
14 - 2016-10-25	89	Calgary	2	St-Louis	6	W			Sommaire du Match
16 - 2016-10-27	103	Detroit	0	St-Louis	3	W			Sommaire du Match
18 - 2016-10-29	116	LA Kings	4	St-Louis	3	L	X	X	Sommaire du Match
21 - 2016-11-01	140	St-Louis	1	Rangers	3	L			Sommaire du Match
23 - 2016-11-03	146	St-Louis	3	Kansas City	2	W			Sommaire du Match
25 - 2016-11-05	169	Atlanta	2	St-Louis	5	W			Sommaire du Match
26 - 2016-11-06	175	Colorado	4	St-Louis	3	L			Sommaire du Match
29 - 2016-11-09	195	Chicago	1	St-Louis	4	W			Sommaire du Match
30 - 2016-11-10	200	St-Louis	5	Las Vegas	2	W			Sommaire du Match
32 - 2016-11-12	212	St-Louis	4	Atlanta	3	W	X	X	Sommaire du Match
35 - 2016-11-15	231	Buffalo	3	St-Louis	4	W	X	X	Sommaire du Match
37 - 2016-11-17	247	San Jose	2	St-Louis	5	W			Sommaire du Match
39 - 2016-11-19	261	Las Vegas	5	St-Louis	6	W			Sommaire du Match
42 - 2016-11-22	285	St-Louis	2	Boston	1	W			Sommaire du Match
43 - 2016-11-23	291	St-Louis	5	Washington	2	W			Sommaire du Match
46 - 2016-11-26	318	Minnesota	2	St-Louis	6	W			Sommaire du Match
48 - 2016-11-28	329	Kansas City	3	St-Louis	4	W			Sommaire du Match
51 - 2016-12-01	351	Tampa Bay	1	St-Louis	2	W			Sommaire du Match
53 - 2016-12-03	361	Winnipeg	3	St-Louis	2	L			Sommaire du Match
56 - 2016-12-06	384	Montreal	5	St-Louis	6	W	X	X	Sommaire du Match
58 - 2016-12-08	396	St-Louis	2	Islanders	5	L			Sommaire du Match
59 - 2016-12-09	407	St-Louis	0	Hartford	2	L			Sommaire du Match
61 - 2016-12-11	424	St-Louis	2	Minnesota	3	L			Sommaire du Match
63 - 2016-12-13	433	St-Louis	6	Las Vegas	4	W			Sommaire du Match
65 - 2016-12-15	449	Hartford	1	St-Louis	5	W			Sommaire du Match
67 - 2016-12-17	467	Chicago	4	St-Louis	3	L	X	X	Sommaire du Match
69 - 2016-12-19	479	Edmonton	4	St-Louis	2	L			Sommaire du Match
70 - 2016-12-20	490	St-Louis	4	Kansas City	3	W	X	X	Sommaire du Match
72 - 2016-12-22	500	St-Louis	6	Tampa Bay	3	W			Sommaire du Match
78 - 2016-12-28	530	Philadelphie	0	St-Louis	1	W			Sommaire du Match
80 - 2016-12-30	546	Las Vegas	0	St-Louis	3	W			Sommaire du Match
83 - 2017-01-02	562	Chicago	3	St-Louis	2	L			Sommaire du Match
86 - 2017-01-05	581	Caroline	2	St-Louis	3	W	X	X	Sommaire du Match
88 - 2017-01-07	596	Kansas City	3	St-Louis	2	L			Sommaire du Match
91 - 2017-01-10	614	Boston	5	St-Louis	8	W			Sommaire du Match
93 - 2017-01-12	632	St-Louis	4	LA Kings	5	L	X	X	Sommaire du Match
95 - 2017-01-14	651	St-Louis	8	San Jose	2	W			Sommaire du Match
96 - 2017-01-15	654	St-Louis	6	Anaheim	7	L	X		Sommaire du Match
98 - 2017-01-17	666	Ottawa	0	St-Louis	2	W			Sommaire du Match
100 - 2017-01-19	680	Washington	3	St-Louis	2	L	X	X	Sommaire du Match
102 - 2017-01-21	701	St-Louis	5	Winnipeg	4	W			Sommaire du Match
105 - 2017-01-24	717	St-Louis	3	Pittsburgh	2	W	X		Sommaire du Match
107 - 2017-01-26	733	St-Louis	6	Minnesota	3	W			Sommaire du Match
112 - 2017-01-31	754	Winnipeg	2	St-Louis	3	W			Sommaire du Match
114 - 2017-02-02	761	Toronto	2	St-Louis	7	W			Sommaire du Match
116 - 2017-02-04	779	Pittsburgh	1	St-Louis	2	W			Sommaire du Match
118 - 2017-02-06	787	St-Louis	0	Philadelphie	1	L			Sommaire du Match
119 - 2017-02-07	795	St-Louis	6	Ottawa	2	W			Sommaire du Match
121 - 2017-02-09	812	St-Louis	5	Toronto	3	W			Sommaire du Match
123 - 2017-02-11	822	St-Louis	2	Montreal	4	L			Sommaire du Match
127 - 2017-02-15	844	St-Louis	5	Detroit	3	W			Sommaire du Match
128 - 2017-02-16	850	Vancouver	3	St-Louis	4	W			Sommaire du Match
130 - 2017-02-18	862	St-Louis	5	Buffalo	2	W			Sommaire du Match
132 - 2017-02-20	880	Quebec	4	St-Louis	3	L	X	X	Sommaire du Match
138 - 2017-02-26	917	St-Louis	2	Chicago	0	W			Sommaire du Match
140 - 2017-02-28	931	Edmonton	2	St-Louis	3	W	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	950	St-Louis	5	Winnipeg	4	W	X		Sommaire du Match
145 - 2017-03-05	966	St-Louis	3	Colorado	2	W			Sommaire du Match
147 - 2017-03-07	977	St-Louis	3	Minnesota	2	W	X	X	Sommaire du Match
150 - 2017-03-10	998	Anaheim	1	St-Louis	8	W			Sommaire du Match
151 - 2017-03-11	1009	Islanders	1	St-Louis	6	W			Sommaire du Match
153 - 2017-03-13	1023	St-Louis	5	LA Kings	6	L	X	X	Sommaire du Match
155 - 2017-03-15	1036	St-Louis	2	Anaheim	4	L			Sommaire du Match
156 - 2017-03-16	1038	St-Louis	3	San Jose	1	W			Sommaire du Match
158 - 2017-03-18	1060	St-Louis	3	Nashville	4	L			Sommaire du Match
161 - 2017-03-21	1085	St-Louis	4	Colorado	2	W			Sommaire du Match
163 - 2017-03-23	1095	Vancouver	1	St-Louis	5	W			Sommaire du Match
165 - 2017-03-25	1112	Calgary	2	St-Louis	4	W			Sommaire du Match
167 - 2017-03-27	1122	Nashville	3	St-Louis	2	L			Sommaire du Match
169 - 2017-03-29	1140	St-Louis	4	Nashville	5	L			Sommaire du Match
171 - 2017-03-31	1153	St-Louis	4	Colorado	5	L	X	X	Sommaire du Match
173 - 2017-04-02	1170	Las Vegas	5	St-Louis	6	W			Sommaire du Match
175 - 2017-04-04	1179	Winnipeg	2	St-Louis	3	W			Sommaire du Match
177 - 2017-04-06	1202	St-Louis	4	Quebec	6	L			Sommaire du Match
179 - 2017-04-08	1214	St-Louis	4	Caroline	2	W			Sommaire du Match
180 - 2017-04-09	1223	Colorado	6	St-Louis	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	6500	5500	3500	3000	1500
Prix des Billets	200	100	99	98	400
Assistance	138398	133601	57400	56219	29566
Attendance PCT	51.93%	59.25%	40.00%	45.71%	48.07%

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	10126 - 50.63%	1,562,394$	64,058,162$	20000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
60,316,000$	58,087,334$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
56,632,148$	333,238$	56,129,349$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	336,000$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	58,948,679$	279,151,396$	279,151,396$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Michael Cammalleri	AGE:33	PO:0	OV:71
Rick Nash	AGE:31	PO:0	OV:71
Mats Zuccarello	AGE:28	PO:0	OV:70
Brad Marchand	AGE:27	PO:0	OV:69
Nino Niederreiter	AGE:23	PO:0	OV:66
Tommy Wingels	AGE:27	PO:0	OV:64
Brock Nelson	AGE:23	PO:0	OV:64
Gabriel Bourque	AGE:25	PO:0	OV:57
Magnus Paajarvi	AGE:24	PO:0	OV:55
Quinton Howden	AGE:23	PO:0	OV:55
Brandon McMillan	AGE:25	PO:0	OV:52
Brendan Gaunce	AGE:21	PO:0	OV:51
*Daniel Catenacci	AGE:22	PO:0	OV:48
Stefan Noesen	AGE:22	PO:0	OV:47
*Greg Carey	AGE:25	PO:0	OV:46
Matt Carey	AGE:23	PO:0	OV:39
Andre Petersson	AGE:25	PO:0	OV:36

Patrice Bergeron	AGE:30	PO:0	OV:73
Michael Cammalleri	AGE:33	PO:0	OV:71
Antoine Vermette	AGE:33	PO:0	OV:69
Mike Fisher	AGE:35	PO:0	OV:69
Vincent Trocheck	AGE:22	PO:0	OV:66
Brock Nelson	AGE:23	PO:0	OV:64
Nick Cousins	AGE:22	PO:0	OV:56
Brandon McMillan	AGE:25	PO:0	OV:52
Brendan Gaunce	AGE:21	PO:0	OV:51
Eric O'Dell	AGE:25	PO:0	OV:50
*Conner Bleackley	AGE:19	PO:0	OV:49
Brendan Shinnimin	AGE:24	PO:0	OV:49
*Daniel Catenacci	AGE:22	PO:0	OV:48
*Greg Carey	AGE:25	PO:0	OV:46
*Gregory Chase	AGE:20	PO:0	OV:39

Rick Nash	AGE:31	PO:0	OV:71
Mats Zuccarello	AGE:28	PO:0	OV:70
Mark Stone	AGE:23	PO:0	OV:69
Nino Niederreiter	AGE:23	PO:0	OV:66
Vincent Trocheck	AGE:22	PO:0	OV:66
Tommy Wingels	AGE:27	PO:0	OV:64
Gabriel Bourque	AGE:25	PO:0	OV:57
Magnus Paajarvi	AGE:24	PO:0	OV:55
Quinton Howden	AGE:23	PO:0	OV:55
Brandon McMillan	AGE:25	PO:0	OV:52
*J.C. Lipon	AGE:22	PO:0	OV:48
Paul Thompson	AGE:26	PO:0	OV:48
Stefan Noesen	AGE:22	PO:0	OV:47
*Greg Carey	AGE:25	PO:0	OV:46
*Maxim Shalunov	AGE:22	PO:0	OV:41
Andre Petersson	AGE:25	PO:0	OV:36

Défense #1

Défense #2

Gardien

John Carlson	AGE:25	PO:0	OV:72
Brian Campbell	AGE:36	PO:0	OV:70
Alexander Edler	AGE:29	PO:0	OV:69
Jake Muzzin	AGE:26	PO:0	OV:69
Zbynek Michalek	AGE:32	PO:0	OV:66
Cody Franson	AGE:28	PO:0	OV:65
Justin Schultz	AGE:25	PO:0	OV:63
Yannick Weber	AGE:27	PO:0	OV:58
Ben Hutton	AGE:22	PO:0	OV:57
Xavier Ouellet	AGE:22	PO:0	OV:57

Noah Hanifin	AGE:18	PO:0	OV:57
Chris Summers	AGE:27	PO:0	OV:54
Darren Dietz	AGE:22	PO:0	OV:53
Paul Postma	AGE:26	PO:0	OV:53
*Dean Kukan	AGE:22	PO:0	OV:51
*Travis Sanheim	AGE:19	PO:0	OV:48
*Dillon Heatherington	AGE:20	PO:0	OV:45
*Robbie Russo	AGE:22	PO:0	OV:41
*MacKenzie Weegar	AGE:21	PO:0	OV:39

Braden Holtby	AGE:26	PO:0	OV:84
Jonathan Bernier	AGE:27	PO:0	OV:71
Matt Murray	AGE:21	PO:0	OV:53
Marek Mazanec	AGE:24	PO:0	OV:52
Chris Driedger	AGE:21	PO:0	OV:50
Jordan Binnington	AGE:22	PO:0	OV:47
*Antoine Bibeau	AGE:21	PO:0	OV:41

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
Adam Brooks	St-Louis	2016	126
Anthony Beauvillier	St-Louis	2015	26
Dmitry Sokolov	St-Louis	2016	150
German Rubtsov	St-Louis	2016	27
Jonas Siegenthaler	St-Louis	2015	86
Mathew Barzal	St-Louis	2015	9
Matthew Benning	St-Louis	2016	179
Matthew Bradley	St-Louis	2015	207
Matthew Spencer	St-Louis	2015	99
Michael Kempny	St-Louis	2016	120
Pascal Laberge	St-Louis	2016	43
Pius Suter	St-Louis	2015	183
Tyler Lewington	St-Louis	2015	202
Vadim Shipachev	St-Louis	2016	58

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	Stl		Win	Phi	Stl		Que Min
2018	Stl	Win Stl	Stl	Stl Edm	Was	Stl	Ana Pit Stl
2019	Stl	Stl	Stl	Stl	Stl	Stl	Stl
2020	Stl	Stl	Stl	Stl	Stl	Stl	Stl
2021	Stl	Stl	Stl	Stl	Stl	Stl	Stl

[2016-09-30 20:00:10] - Michael Cammalleri is no longer as assistant for St-Louis.
[2016-09-30 20:00:10] - Patrice Bergeron has been selected as assistant for St-Louis.
[2016-09-30 20:00:10] - Brian Campbell is no longer as assistant for St-Louis.
[2016-09-30 20:00:10] - Mike Fisher has been selected as assistant for St-Louis.
[2016-11-22 20:00:21] - New Record for Team's Most Hits (33) in 1 Game for St-Louis!
[2016-11-28 06:34:52] - Nino Niederreiter was added to St-Louis.
[2016-11-28 06:34:52] - Xavier Ouellet was added to St-Louis.
[2016-11-28 06:34:53] - TRADE : From St-Louis to Washington : Elias Lindholm (64), Ryan Gropp (P), Y:2017-RND:2-Stl, Y:2017-RND:3-Stl, Y:2018-RND:5-Stl.
[2016-11-28 06:34:53] - TRADE : From Washington to St-Louis : Nino Niederreiter (66), Xavier Ouellet (56), Y:2017-RND:4-Phi, Y:2018-RND:7-Ana, Y:2018-RND:7-Pit.
[2016-12-10 06:46:46] - Vincent Trocheck was added to St-Louis.
[2016-12-10 06:46:47] - TRADE : From St-Louis to Winnipeg : Dmitry Kulikov (67), Nick Bjugstad (64).
[2016-12-10 06:46:47] - TRADE : From Winnipeg to St-Louis : Vincent Trocheck (65), Y:2017-RND:3-Win.
[2016-12-20 22:26:26] - Jonathan Bernier was added to St-Louis.
[2016-12-20 22:26:27] - TRADE : From St-Louis to Nashville : Bobby Ryan (70), Mark Barberio (58).
[2016-12-20 22:26:27] - TRADE : From Nashville to St-Louis : Jonathan Bernier (71), Mathew Barzal (P), Pascal Laberge (P).
[2017-01-10 20:00:14] - New Record for Team's Most Goals (8) in 1 Game for St-Louis!
[2017-01-15 14:51:14] - TRADE : From St-Louis to Calgary : Eddie Lack (61).
[2017-01-15 14:51:14] - TRADE : From Calgary to St-Louis : Y:2017-RND:7-Que, Y:2018-RND:4-Edm.
[2017-01-28 08:48:41] - Jarret Stoll was added to St-Louis.
[2017-01-28 08:48:42] - TRADE : From Toronto to St-Louis : Jarret Stoll (64), Y:2017-RND:7-Min.
[2017-01-28 08:48:42] - TRADE : From St-Louis to Toronto : Y:2017-RND:4-Stl.
[2017-01-31 06:00:34] - Carl Gunnarsson was added to St-Louis.
[2017-01-31 06:00:34] - Tommy Wingels was added to St-Louis.
[2017-01-31 06:00:35] - TRADE : From Winnipeg to St-Louis : Carl Gunnarsson (63), Tommy Wingels (63), Y:2018-RND:2-Win.
[2017-01-31 06:00:35] - TRADE : From St-Louis to Winnipeg : Jesper Fast (61), Mark Pysyk (58), Michael Sgarbossa (51), Y:2018-RND:5-Edm.
[2017-02-12 09:47:33] - Antoine Vermette was added to St-Louis.
[2017-02-12 09:47:33] - Zbynek Michalek was added to St-Louis.
[2017-02-12 09:47:34] - TRADE : From Nashville to St-Louis : Antoine Vermette (68), Zbynek Michalek (65).
[2017-02-12 09:47:34] - TRADE : From St-Louis to Nashville : Carl Gunnarsson (63), Peter Holland (62).
[2017-02-16 21:05:13] - TRADE : From St-Louis to Winnipeg : Jarret Stoll (64), 1 000 000 $ (Money).
[2017-02-16 21:05:13] - TRADE : From Winnipeg to St-Louis : 1 $ (Money).
[2017-03-10 20:00:12] - New Record for Team's Most Points (22) in 1 Game for St-Louis!
[2017-04-08 20:00:26] - New Record for Team's Most Penalties Minutes (46) in 1 Game for St-Louis!

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	45	18	0	2	2	7	8	314	229	85	41	24	7	0	0	1	4	5	157	104	53	41	21	11	0	2	1	3	3	157	125	32	90	314	551	865	1	5	112	108	85	18	2456	823	802	800	84	2103	664	1056	1585	439	79	18.00%	406	68	83.25%	2	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	2080	1438	1872	609	1049	541
Total Saison Régulière	82	45	18	0	2	2	7	8	314	229	85	41	24	7	0	0	1	4	5	157	104	53	41	21	11	0	2	1	3	3	157	125	32	90	314	551	865	1	5	112	108	85	18	2456	823	802	800	84	2103	664	1056	1585	439	79	18.00%	406	68	83.25%	2	1461	2848	51.30%	1437	2696	53.30%	732	1348	54.30%	2080	1438	1872	609	1049	541