Ligue Canadienne de Hockey Simulé

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Stats d'équipe en Carrière

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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	Corey Perry			X		100.00	90	70	67	75	79	86	85	95	94	99	99	99	95	99	99	23	54	87	0
2	Evgeni Malkin	X				100.00	71	68	63	81	78	94	77	99	96	99	99	98	99	99	99	71	30	87	0
3	Mika Zibanejad	X				100.00	69	30	99	79	78	90	95	86	98	95	93	87	85	82	82	75	59	83	0
4	Gustav Nyquist			X		100.00	53	37	88	75	72	85	98	87	76	94	99	88	61	73	75	28	59	81	0
5	Brayden Schenn		X			100.00	80	46	79	83	76	91	97	87	88	90	90	72	75	84	66	73	52	80	0
6	Nick Foligno		X			100.00	84	50	72	71	77	91	88	87	59	80	88	95	90	85	96	43	59	80	0
7	Jussi Jokinen			X		100.00	61	47	76	65	75	88	94	86	65	92	78	90	75	99	99	1	59	79	0
8	Emerson Etem		X			100.00	98	68	73	73	78	79	86	94	53	83	85	69	99	68	70	62	58	77	0
9	Alex Galchenyuk		X			100.00	48	32	99	78	75	82	94	84	89	80	90	70	56	71	73	82	59	76	0
10	Jay Beagle (R)	X				100.00	58	39	79	65	80	72	78	81	99	79	86	97	61	82	77	42	49	76	0
11	Cal O'Reilly	X				100.00	61	50	73	66	75	54	80	82	91	73	77	71	76	99	97	61	59	72	0
12	Zack Kassian			X		100.00	84	50	58	68	86	82	92	76	50	69	69	68	68	82	61	71	59	70	0
13	Cam Fowler				X	100.00	54	38	96	78	74	95	86	88	30	81	84	92	71	89	87	59	59	79	0
14	Jake Gardiner				X	100.00	57	38	91	76	76	89	98	83	30	92	78	77	64	81	73	68	59	76	0
15	Michael Del Zotto				X	100.00	88	42	86	67	77	88	98	76	30	69	74	80	70	95	85	64	60	76	0
16	Ryan Ellis				X	100.00	65	35	82	78	66	92	95	71	30	84	86	82	65	74	64	70	59	75	0
17	Zach Bogosian				X	100.00	70	53	75	67	89	89	84	66	30	70	65	81	67	90	80	70	63	74	0
18	Kyle Quincey				X	100.00	76	50	70	64	79	77	81	84	25	66	68	81	61	95	99	62	57	74	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	70	47	79	73	77	85	89	84	63	83	84	83	74	86	82	57	56	78

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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	Jake Allen	100.00	88	86	85	81	87	91	92	96	99	95	77	85	82	60	59	88	0
2	Brian Elliott	99.00	82	89	89	80	82	94	93	93	94	85	93	85	84	1	58	86	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	85	88	87	81	85	93	93	95	97	90	85	85	83	31	59	87

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jack Capuano	96	89	93	99	88	66	85	USA	53	3	5,000,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Corey Perry	Stars	RW	82	49	42	91	2	131	25	232	146	348	101	179	14.08%	44	1774	21.64	18	15	33	74	297	2	0	2	11	287	7	3	59.39%	229	52	15	0	1	1.03	3	12	1	3	1	11	6	1
2	Evgeni Malkin	Stars	C	66	31	41	72	-6	162	50	157	187	242	63	151	12.81%	39	1325	20.09	10	15	25	50	218	0	2	2	2	198	2	4	51.17%	1796	40	20	1	1	1.09	2	8	2	1	7	3	5	4
3	Nick Foligno	Stars	LW	82	24	42	66	-1	70	0	180	120	142	41	85	16.90%	29	1499	18.29	9	15	24	36	299	0	0	0	0	31	2	0	40.35%	114	17	29	0	0	0.88	2	7	0	0	0	3	4	4
4	Mika Zibanejad	Stars	C	82	18	39	57	10	0	0	152	199	231	71	139	7.79%	51	1626	19.83	1	10	11	23	242	3	2	5	8	186	6	1	51.84%	1686	37	20	0	0	0.70	2	12	0	0	0	3	5	6
5	Brayden Schenn	Stars	LW	82	28	21	49	-8	116	10	211	134	241	78	139	11.62%	29	1497	18.26	3	3	6	19	222	1	0	1	3	78	5	2	51.04%	96	48	14	0	3	0.65	1	2	0	1	0	4	2	3
6	Jussi Jokinen	Stars	RW	82	15	27	42	-4	26	0	101	87	191	48	122	7.85%	32	996	12.15	1	7	8	5	23	0	0	0	0	0	3	0	50.00%	150	23	17	0	0	0.84	0	0	0	0	0	3	3	2
7	Gustav Nyquist	Stars	RW	82	10	30	40	-4	44	0	110	133	228	77	135	4.39%	36	1517	18.50	0	5	5	20	224	2	2	4	14	128	1	1	44.79%	96	33	22	0	0	0.53	3	9	0	0	0	0	2	3
8	Emerson Etem	Stars	LW	82	18	17	35	-9	74	30	129	60	191	73	112	9.42%	15	937	11.43	0	1	1	1	4	0	0	0	1	60	2	1	37.84%	111	25	20	0	0	0.75	2	4	1	1	3	1	2	1
9	Jake Gardiner	Stars	D	82	2	23	25	-1	10	0	116	157	115	42	52	1.74%	105	1997	24.36	2	6	8	24	306	0	1	1	4	330	0	0	0.00%	0	39	54	0	0	0.25	0	0	0	0	0	1	0	1
10	Michael Del Zotto	Stars	D	82	2	23	25	-3	29	5	158	137	80	36	25	2.50%	93	1776	21.66	2	0	2	9	224	0	2	2	6	221	0	0	0.00%	0	10	43	0	0	0.28	0	0	0	0	1	1	0	1
11	Alex Galchenyuk	Stars	LW	82	8	16	24	3	2	0	29	57	144	56	77	5.56%	9	687	8.38	0	0	0	0	30	0	1	1	3	35	0	0	50.62%	81	24	12	0	0	0.70	0	0	0	0	0	0	2	1
12	Cam Fowler	Stars	D	82	4	19	23	-11	0	0	72	176	117	56	61	3.42%	125	2069	25.23	2	5	7	26	323	0	1	1	6	347	0	1	0.00%	0	24	51	0	0	0.22	0	0	0	0	0	0	1	1
13	Ryan Ellis	Stars	D	82	2	21	23	5	32	0	91	141	108	34	31	1.85%	86	1763	21.51	1	3	4	7	207	0	1	1	3	209	1	1	0.00%	0	36	55	0	0	0.26	0	0	0	0	0	0	1	0
14	Cal O'Reilly	Stars	C	82	12	9	21	5	22	0	63	69	94	21	48	12.77%	19	676	8.25	0	0	0	0	1	0	0	0	1	43	2	0	49.49%	295	7	12	0	0	0.62	0	0	0	0	0	0	0	2
15	Jay Beagle	Stars	C	82	12	9	21	-4	24	0	81	145	92	26	54	13.04%	33	1045	12.75	0	0	0	1	26	1	0	1	4	64	2	1	52.49%	823	8	16	0	0	0.40	0	0	0	0	0	1	3	1
16	Zach Bogosian	Stars	D	82	3	11	14	1	48	10	97	98	48	23	26	6.25%	73	1171	14.28	0	0	0	0	1	0	0	0	0	23	0	1	0.00%	0	4	21	0	0	0.24	0	0	1	0	1	0	0	0
17	Zack Kassian	Stars	RW	82	5	5	10	0	44	0	100	24	44	13	26	11.36%	19	545	6.65	1	0	1	1	7	0	0	0	0	0	0	0	62.50%	8	4	7	0	0	0.37	0	0	0	0	0	1	0	0
18	Kyle Quincey	Stars	D	82	0	10	10	2	68	10	111	82	46	19	22	0.00%	65	1143	13.95	0	0	0	0	4	0	0	0	0	7	0	0	100.00%	1	7	30	0	0	0.17	0	0	0	1	1	0	0	0
19	Chris Wagner	Stars (DAL)	C	9	1	0	1	-1	0	0	7	7	9	2	3	11.11%	2	73	8.22	0	0	0	0	0	0	0	0	0	8	0	0	54.55%	22	1	2	0	0	0.27	0	0	0	0	0	0	0	0
20	Vincent Hinostroza	Stars (DAL)	C	7	0	0	0	-4	0	0	4	6	4	4	0	0.00%	1	52	7.54	0	0	0	0	0	0	0	0	0	5	0	0	40.91%	22	1	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1476	244	405	649	-28	902	140	2201	2165	2715	884	1487	8.99%	905	24176	16.38	50	85	135	296	2667	9	12	21	66	2268	33	16	51.18%	5530	440	460	1	5	0.54	15	54	5	7	14	32	36	31

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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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Brian Elliott	Stars	60	28	22	7	0.908	3.01	3430	4	172	1867	789	4	1	0.722	54	57	25	3	4	3
2	Jake Allen	Stars	30	11	11	3	0.905	3.06	1551	0	79	829	363	1	0	0.000	0	25	57	3	1	1
Stats d'équipe Total ou en Moyenne			90	39	33	10	0.907	3.02	4981	4	251	2696	1152	5	1	0.722	54	82	82	6	5	4

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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	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
Alex Galchenyuk	Stars	LW	26	1994-02-12 17:11:13	No	205 Lbs	6 ft2	No	No	No	3	Pro & Farm	3,000,000$