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	Max Pacioretty		X			100.00	82	46	66	74	77	93	91	99	77	99	99	86	99	90	88	46	33	85	0
2	Mats Zuccarello			X		100.00	57	33	92	77	70	88	93	91	66	92	95	91	89	89	98	64	39	83	0
3	Brandon Dubinsky		X			100.00	85	42	82	69	75	84	80	83	97	99	99	93	99	91	95	28	24	83	0
4	Sean Couturier	X				100.00	64	39	96	85	76	99	98	91	84	81	85	97	78	87	68	79	42	82	0
5	Ryan Callahan			X		100.00	84	47	73	70	73	99	95	99	71	78	85	96	85	86	89	4	45	81	0
6	Mark Letestu			X		100.00	37	25	99	62	75	95	97	98	97	84	86	90	85	81	82	1	42	79	0
7	Robert Nilsson		X			100.00	5	1	99	63	73	99	99	93	53	98	87	93	81	83	93	29	42	79	0
8	Mathew Barzal (R)	X				100.00	60	44	81	87	73	91	98	95	81	97	78	63	53	71	54	82	43	78	0
9	Anton Lander	X				100.00	99	57	58	62	74	72	74	90	76	99	84	74	75	73	78	55	31	76	0
10	Boone Jenner	X				100.00	80	51	79	75	78	85	86	71	83	79	89	87	82	76	74	70	42	76	0
11	Jan Hlavac			X		100.00	21	1	99	63	75	97	99	74	38	74	70	77	73	99	99	19	42	71	0
12	Marcus Foligno		X			100.00	81	42	71	66	82	74	93	66	64	66	61	75	66	70	64	48	42	67	0
13	Dennis Seidenberg				X	100.00	76	46	76	65	78	95	93	97	51	75	76	99	73	99	98	1	38	82	0
14	Jacob Trouba				X	100.00	72	41	88	78	75	92	89	80	25	81	76	95	56	82	75	76	42	79	0
15	Tom Gilbert				X	100.00	5	1	99	61	79	96	99	99	62	99	99	99	99	93	99	23	42	79	0
16	Braydon Coburn				X	100.00	70	35	75	67	94	78	87	67	30	71	66	91	63	87	81	49	42	75	0
17	Dmitry Orlov				X	100.00	71	37	95	67	76	92	97	74	30	70	76	81	70	81	69	56	42	74	0
18	Steve Oleksy				X	100.00	67	60	48	66	73	84	88	89	63	85	81	75	80	83	85	8	25	74	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	62	36	82	70	76	90	92	86	64	85	83	87	78	85	83	41	39	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	Corey Crawford	100.00	85	92	96	81	86	99	99	99	99	92	93	99	99	15	41	91	0
2	Scott Darling	100.00	80	85	85	89	83	95	94	96	99	80	80	80	76	61	41	86	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	83	89	91	85	85	97	97	98	99	86	87	90	88	38	41	89

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Yeo	75	95	86	84	85	73	83	CAN	46	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	Max Pacioretty	Sharks	LW	81	26	46	72	-9	142	10	248	157	279	85	164	9.32%	48	1734	21.41	8	12	20	50	289	0	1	1	11	225	1	2	45.47%	508	43	21	0	0	0.83	0	18	0	0	0	4	3	3
2	Mats Zuccarello	Sharks	RW	82	33	39	72	-9	11	5	125	138	281	94	181	11.74%	40	1609	19.63	8	15	23	63	293	0	2	2	6	118	1	5	40.94%	149	39	23	0	1	0.89	2	15	0	1	0	5	4	3
3	Sean Couturier	Sharks	C	82	27	43	70	-7	2	0	153	201	242	95	172	11.16%	38	1643	20.04	8	14	22	45	295	2	0	2	5	127	1	2	48.84%	1986	44	26	1	0	0.85	7	10	0	0	0	4	5	7
4	Mathew Barzal	Sharks	C	82	24	38	62	-15	45	5	115	174	278	92	158	8.63%	27	1409	17.19	4	4	8	35	225	0	0	0	0	0	3	5	45.53%	1487	54	17	0	0	0.88	0	0	0	0	1	2	7	3
5	Ryan Callahan	Sharks	RW	82	17	26	43	-16	80	10	206	123	170	58	94	10.00%	36	1414	17.25	3	4	7	15	224	0	0	0	1	6	2	2	42.22%	90	21	26	0	0	0.61	2	2	1	0	0	2	3	0
6	Brandon Dubinsky	Sharks	LW	82	23	19	42	-13	24	0	200	163	198	61	100	11.62%	38	1684	20.55	2	2	4	17	218	2	1	3	11	256	3	1	50.43%	115	24	30	0	0	0.50	7	17	0	0	0	4	2	1
7	Anton Lander	Sharks	C	79	14	22	36	-6	41	5	242	127	158	43	83	8.86%	24	1070	13.55	0	0	0	0	1	1	1	2	5	127	1	0	47.38%	762	16	19	0	0	0.67	0	0	0	1	0	2	3	5
8	Robert Nilsson	Sharks	LW	82	13	21	34	-6	2	0	3	69	182	46	96	7.14%	21	1006	12.27	0	1	1	0	20	0	0	0	0	10	2	0	39.66%	58	31	15	1	0	0.68	0	0	0	0	0	3	1	2
9	Tom Gilbert	Sharks	D	82	0	24	24	-8	2	0	6	168	91	41	49	0.00%	93	1820	22.20	0	4	4	10	234	0	0	0	3	220	0	0	0.00%	0	31	42	0	0	0.26	0	1	0	0	0	0	0	1
10	Jacob Trouba	Sharks	D	82	2	21	23	-27	16	0	128	162	118	54	38	1.69%	117	1972	24.06	2	6	8	14	289	0	1	1	4	265	0	0	0.00%	0	25	46	0	0	0.23	0	0	0	0	0	1	0	2
11	Dennis Seidenberg	Sharks	D	81	3	20	23	-29	86	10	173	133	97	31	38	3.09%	93	1827	22.56	1	3	4	14	244	0	1	1	4	253	0	0	0.00%	0	22	57	0	0	0.25	0	0	1	0	1	1	0	1
12	Mark Letestu	Sharks	RW	82	14	8	22	-7	2	0	41	80	121	31	84	11.57%	22	963	11.75	0	0	0	0	13	0	0	0	0	1	3	2	47.83%	46	20	11	0	0	0.46	0	0	0	0	0	0	3	0
13	Boone Jenner	Sharks	C	82	9	10	19	-7	10	0	88	70	147	43	71	6.12%	12	625	7.63	0	0	0	0	0	0	0	0	1	37	4	0	55.89%	263	17	13	0	0	0.61	0	0	0	0	0	0	1	0
14	Steve Oleksy	Sharks	D	77	2	16	18	0	118	10	138	90	84	20	31	2.38%	75	1301	16.90	1	1	2	3	77	0	0	0	2	84	0	0	0.00%	0	23	23	0	0	0.28	0	1	0	1	1	1	0	0
15	Braydon Coburn	Sharks	D	82	0	14	14	-5	34	0	155	104	61	18	22	0.00%	94	1477	18.02	0	0	0	4	57	0	0	0	0	123	0	0	0.00%	0	3	51	0	0	0.19	0	0	0	0	0	0	0	0
16	Jan Hlavac	Sharks	RW	82	7	6	13	-5	4	0	0	44	75	25	48	9.33%	12	535	6.53	0	0	0	0	5	0	0	0	0	0	2	0	29.41%	17	6	7	0	0	0.49	0	0	0	0	0	0	0	0
17	Dmitry Orlov	Sharks	D	82	4	8	12	-3	0	0	114	106	56	26	29	7.14%	71	1453	17.73	0	1	1	4	156	0	0	0	0	38	1	0	0.00%	0	10	35	0	0	0.17	0	0	0	0	0	0	1	0
18	Marcus Foligno	Sharks	LW	82	4	1	5	-8	24	0	91	41	35	6	17	11.43%	14	661	8.07	0	0	0	0	2	0	0	0	1	71	1	1	28.57%	7	2	14	0	0	0.15	0	0	0	0	0	1	0	1
19	David Schlemko	Sharks (SJ )	D	8	0	0	0	0	2	0	3	9	2	1	0	0.00%	8	99	12.45	0	0	0	0	0	0	0	0	1	9	0	0	0.00%	0	0	5	0	0	0.00	0	0	0	0	0	0	0	0
20	Roman Horak	Sharks (SJ )	LW	2	0	0	0	-2	0	0	0	0	0	0	2	0.00%	0	18	9.18	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
21	Joakim Andersson	Sharks (SJ )	C	3	0	0	0	0	0	0	3	8	5	2	5	0.00%	1	23	7.91	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	8	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1479	222	382	604	-182	645	55	2232	2167	2680	872	1482	8.28%	884	24356	16.47	37	67	104	274	2650	5	7	12	55	1980	25	20	47.29%	5496	431	481	2	1	0.50	18	64	2	3	3	30	33	29

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Scott Darling	Sharks	55	25	19	6	0.902	3.18	3112	0	165	1679	694	3	0.758	33	51	31	3	1	3
2	Corey Crawford	Sharks	33	11	16	5	0.904	3.16	1899	10	100	1039	428	1	0.742	31	31	51	5	3	1
Stats d'équipe Total ou en Moyenne			88	36	35	11	0.903	3.17	5011	10	265	2718	1122	4	0.750	64	82	82	8	4	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
Anton Lander	Sharks	C	29	1991-04-24 11:11:13	No	203 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,000,000$