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	Sean Monahan	X				100.00	61	42	83	84	74	91	98	90	95	95	93	76	66	75	79	83	59	81	0
2	Jonathan Huberdeau		X			100.00	64	46	79	87	73	91	95	86	69	99	88	77	61	81	81	84	58	81	0
3	James Neal			X		100.00	64	35	75	75	86	89	86	84	63	93	92	78	91	93	93	32	59	80	0
4	Anders Lee		X			100.00	72	45	80	73	82	84	98	89	72	87	98	66	51	86	65	38	60	78	0
5	Auston Matthews	X				100.00	60	35	79	84	88	90	81	83	84	78	93	83	75	58	58	92	60	78	0
6	Mitchell Marner			X		100.00	59	35	82	85	69	92	95	84	74	93	80	80	79	60	58	89	59	78	0
7	Carl Soderberg		X			100.00	66	43	82	73	77	90	94	77	86	87	69	84	69	76	64	39	59	75	0
8	Craig Smith			X		100.00	59	38	89	75	77	84	94	79	69	72	80	78	66	88	82	49	60	74	0
9	David Desharnais	X				100.00	58	40	81	75	60	77	93	74	90	95	76	67	80	89	86	25	55	74	0
10	Artem Anisimov	X				100.00	57	40	87	75	76	85	89	72	88	74	79	77	73	80	82	52	59	73	0
11	Beau Bennett		X			100.00	76	31	99	72	78	72	68	69	69	76	79	68	79	79	72	64	49	70	0
12	Damien Brunner			X		100.00	25	20	99	68	71	80	84	77	63	67	66	73	72	83	80	8	59	68	0
13	Morgan Rielly				X	100.00	64	35	84	81	82	92	95	79	30	86	75	88	69	79	76	85	59	79	0
14	T.J. Brodie				X	100.00	46	31	96	83	72	97	93	82	25	84	79	90	50	83	80	58	61	78	0
15	Alex Goligoski				X	100.00	70	36	91	75	70	95	98	76	25	76	59	85	53	96	97	18	56	77	0
16	Erik Gudbranson				X	100.00	84	42	82	63	83	81	87	67	30	63	69	91	50	84	76	81	60	75	0
17	Jonas Brodin				X	100.00	64	35	80	68	75	87	95	75	30	69	74	88	69	76	83	80	62	75	0
18	Zbynek Michalek				X	100.00	68	35	95	70	77	76	73	93	25	85	65	81	58	93	99	26	27	75	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	62	37	86	76	76	86	90	80	60	82	79	79	67	81	78	56	57	76

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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	Martin Jones	99.00	89	93	92	84	88	99	95	99	99	96	66	82	81	62	59	90	0
2	Jimmy Howard	100.00	87	92	93	81	86	90	92	91	91	89	81	96	99	30	59	88	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	88	93	93	83	87	95	94	95	95	93	74	89	90	46	59	89

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dave Tippett	93	85	87	97	99	99	87	CAN	58	3	2,000,000$

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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	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Sean Monahan	Canucks	C	82	29	49	78	-15	34	0	154	259	300	94	186	9.67%	43	1823	22.24	10	15	25	65	299	0	0	0	2	263	4	2	50.77%	2523	50	28	1	0.86	1	9	0	0	0	5	2	8
2	Jonathan Huberdeau	Canucks	LW	82	31	46	77	-17	81	15	193	156	327	98	205	9.48%	52	1781	21.72	10	17	27	56	300	0	0	0	7	240	3	3	41.61%	149	78	31	1	0.86	2	9	0	1	2	5	6	3
3	Mitchell Marner	Canucks	RW	82	25	43	68	-6	40	0	134	108	263	87	141	9.51%	39	1421	17.34	8	10	18	34	229	0	0	0	0	0	5	1	37.21%	86	53	18	0	0.96	0	3	0	0	0	3	4	8
4	Anders Lee	Canucks	LW	82	17	37	54	-5	65	5	221	137	237	78	155	7.17%	26	1551	18.92	3	10	13	30	229	0	0	0	11	106	3	1	47.06%	85	41	21	0	0.70	1	2	0	0	1	6	1	4
5	Auston Matthews	Canucks	C	82	21	29	50	-6	59	5	167	195	197	72	122	10.66%	31	1420	17.33	5	6	11	19	229	0	0	0	0	0	4	1	46.10%	1564	27	17	0	0.70	0	0	0	0	1	1	4	1
6	James Neal	Canucks	RW	82	23	25	48	-12	82	0	219	94	160	44	115	14.37%	31	1627	19.85	6	6	12	32	299	1	0	1	6	100	3	0	41.52%	171	29	21	0	0.59	3	5	0	0	0	2	5	6
7	T.J. Brodie	Canucks	D	82	10	28	38	-9	12	10	74	168	132	48	59	7.58%	114	2030	24.76	5	11	16	20	326	0	0	0	3	289	1	1	0.00%	0	43	58	1	0.37	0	1	0	0	2	3	1	1
8	Carl Soderberg	Canucks	LW	82	6	23	29	-12	42	0	111	92	179	52	78	3.35%	18	1043	12.72	0	1	1	0	2	0	0	0	3	73	0	1	46.99%	83	22	21	0	0.56	0	0	0	0	0	0	1	1
9	Morgan Rielly	Canucks	D	82	8	20	28	-10	52	0	170	156	119	51	52	6.72%	139	2025	24.70	3	10	13	37	327	0	1	1	2	264	1	1	0.00%	0	31	55	1	0.28	0	0	0	0	0	0	0	3
10	Craig Smith	Canucks	RW	82	10	13	23	-14	21	5	75	57	112	41	82	8.93%	31	951	11.60	0	0	0	1	11	0	0	0	0	0	1	1	32.61%	46	32	17	0	0.48	0	0	0	0	1	1	1	0
11	Artem Anisimov	Canucks	C	82	6	16	22	3	8	0	33	45	139	28	68	4.32%	10	579	7.07	0	0	0	0	2	0	0	0	0	35	0	0	43.50%	223	20	9	0	0.76	0	0	0	0	0	1	0	0
12	Zbynek Michalek	Canucks	D	78	4	18	22	-16	4	0	84	106	69	24	30	5.80%	74	1452	18.62	1	2	3	6	128	0	0	0	0	126	1	0	0.00%	0	7	36	0	0.30	0	0	0	0	0	0	0	0
13	David Desharnais	Canucks	C	81	12	9	21	-15	34	0	88	113	150	44	86	8.00%	32	977	12.07	1	0	1	2	8	0	0	0	3	34	2	1	53.96%	656	34	14	0	0.43	1	2	0	0	0	1	1	0
14	Erik Gudbranson	Canucks	D	82	1	16	17	-12	31	5	121	107	60	24	22	1.67%	70	1283	15.66	0	2	2	4	58	0	0	0	0	41	0	1	100.00%	1	5	32	0	0.26	0	1	0	0	1	0	0	1
15	Alex Goligoski	Canucks	D	82	4	12	16	-8	13	5	145	119	78	29	28	5.13%	105	1742	21.25	1	1	2	7	211	0	0	0	1	168	2	0	0.00%	0	9	50	0	0.18	0	0	0	1	0	1	0	1
16	Damien Brunner	Canucks	RW	82	9	6	15	3	6	0	2	35	67	19	35	13.43%	12	536	6.54	0	0	0	0	8	0	0	0	0	0	2	0	50.00%	14	4	8	0	0.56	0	0	0	0	0	1	1	1
17	Beau Bennett	Canucks	LW	82	9	5	14	5	2	0	90	46	69	17	38	13.04%	10	619	7.55	0	0	0	0	3	0	0	0	3	70	4	1	58.33%	12	6	8	0	0.45	0	0	0	0	0	0	0	1
18	Jonas Brodin	Canucks	D	82	4	9	13	-6	43	5	80	99	65	23	28	6.15%	65	1302	15.88	0	0	0	1	32	0	0	0	0	41	0	0	0.00%	0	17	33	0	0.20	0	0	1	0	0	0	0	0
19	Lance Bouma	Canucks (VAN)	C	1	1	0	1	1	0	0	0	3	1	0	2	100.00%	1	9	9.40	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	3	0	0	0	2.13	0	0	0	0	0	0	0	0
20	Greg Pateryn	Canucks (VAN)	D	4	0	0	0	2	0	0	9	3	1	0	0	0.00%	2	56	14.07	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1476	230	404	634	-149	629	55	2170	2098	2725	873	1532	8.44%	905	24237	16.42	53	91	144	314	2710	1	1	2	41	1858	36	15	48.56%	5616	508	478	4	0.52	8	32	1	2	8	30	27	39

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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	Martin Jones	Canucks	69	33	28	6	0.914	2.88	3920	0	1	188	2191	863	5	1	0.500	26	67	15	12	4	2
2	Jimmy Howard	Canucks	21	6	9	0	0.889	3.81	1040	4	0	66	594	248	0	0	1.000	2	15	67	1	2	0
Stats d'équipe Total ou en Moyenne			90	39	37	6	0.909	3.07	4960	4	1	254	2785	1111	5	1	0.536	28	82	82	13	6	2

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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 Goligoski	Canucks	D	34	1985-07-30 11:11:13	No	184 Lbs	5 ft11	No	No	No	3	Pro & Farm	3,750,000$