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	Tyler Bozak	X				100.00	63	45	69	75	75	89	93	99	99	84	85	98	81	99	99	8	52	83	0
2	Mikkel Boedker		X			100.00	53	39	90	83	75	92	75	99	61	96	86	80	63	81	81	58	60	81	0
3	Maxim Afinogenov			X		100.00	94	42	67	66	73	67	68	97	60	97	97	84	99	99	99	16	26	81	0
4	Kyle Turris	X				100.00	59	46	69	75	74	85	89	99	95	89	91	74	89	97	88	66	46	80	0
5	Bobby Ryan		X			100.00	69	35	96	74	79	86	93	85	60	91	87	76	65	95	85	45	49	79	0
6	Peter Mueller			X		100.00	29	20	99	61	77	93	96	98	87	87	81	90	76	89	84	46	59	78	0
7	Mark Arcobello (R)	X				100.00	89	48	71	72	68	63	69	90	77	97	85	78	69	81	77	19	65	77	0
8	Lauri Korpikoski			X		100.00	82	43	80	72	75	86	91	80	69	67	68	96	69	92	89	34	59	76	0
9	Marcus Johansson		X			100.00	43	29	99	74	77	86	90	80	63	84	79	75	73	99	87	65	59	76	0
10	Matt Moulson		X			100.00	27	21	99	61	76	81	91	91	82	74	90	74	92	94	86	1	59	75	0
11	Paul Byron	X				100.00	79	41	78	77	62	85	73	72	67	74	76	87	67	76	61	39	60	72	0
12	Matt Frattin			X		100.00	99	61	70	63	76	76	80	75	66	72	69	63	68	84	87	24	59	70	0
13	Jay Bouwmeester				X	100.00	54	33	88	61	80	99	99	92	48	90	94	92	92	90	99	25	59	81	0
14	Kris Russell				X	100.00	54	29	99	74	73	96	93	99	53	87	89	85	79	99	93	63	57	80	0
15	Jonathan Ericsson				X	100.00	76	44	79	64	81	77	96	65	30	64	68	93	66	96	69	21	61	75	0
16	Deryk Engelland				X	100.00	82	35	83	64	83	84	87	64	30	75	76	83	63	76	82	19	59	74	0
17	Ryan Wilson				X	100.00	63	40	86	59	77	74	76	71	43	61	58	98	63	99	93	12	60	74	0
18	Dmitry Kulikov				X	100.00	67	41	85	63	76	79	91	85	30	74	72	76	67	91	82	55	59	73	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	66	38	84	69	75	83	86	86	62	81	81	83	75	91	86	34	56	77

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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	Henrik Lundqvist	99.00	87	92	91	78	84	99	99	99	99	83	78	99	99	26	58	90	0
2	Andrew Hammond	100.00	72	79	88	80	78	94	99	96	99	80	88	77	80	57	59	84	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	80	86	90	79	81	97	99	98	99	82	83	88	90	42	59	87

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter Laviolette	85	65	65	82	99	99	79	USA	54	3	3,000,000$

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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	Mikkel Boedker	Predators	LW	82	37	56	93	3	21	5	125	140	328	107	227	11.28%	31	1723	21.02	16	19	35	55	297	0	0	0	3	206	5	3	47.37%	133	83	35	0	1	1.08	2	5	0	0	1	6	8	3
2	Tyler Bozak	Predators	C	78	27	58	85	9	86	0	206	285	272	99	159	9.93%	56	1684	21.60	10	20	30	55	289	0	3	3	4	260	3	1	52.45%	2349	41	27	1	1	1.01	1	8	0	0	0	5	3	9
3	Kyle Turris	Predators	C	79	35	35	70	-3	126	0	204	228	293	97	163	11.95%	30	1496	18.95	7	10	17	34	224	0	0	0	1	102	7	3	53.13%	1564	40	19	0	2	0.94	0	5	0	0	0	3	5	5
4	Bobby Ryan	Predators	LW	82	27	42	69	-4	18	10	157	120	234	54	141	11.54%	30	1450	17.69	3	11	14	16	228	0	0	0	2	31	1	1	38.82%	85	35	19	0	1	0.95	1	2	1	1	0	3	6	1
5	Peter Mueller	Predators	RW	82	23	32	55	2	0	0	42	101	182	52	100	12.64%	41	1432	17.47	8	7	15	22	242	0	0	0	0	3	6	0	45.35%	86	21	19	0	0	0.77	1	1	0	0	0	3	1	4
6	Mark Arcobello	Predators	C	82	22	27	49	-4	66	10	188	107	192	72	120	11.46%	37	1129	13.77	2	2	4	11	45	0	0	0	1	77	4	3	43.89%	818	28	22	0	0	0.87	0	0	2	0	0	5	5	2
7	Kris Russell	Predators	D	76	9	32	41	1	2	0	87	172	139	45	44	6.47%	117	1898	24.98	6	10	16	27	307	1	0	1	8	298	0	2	0.00%	0	43	57	1	0	0.43	0	0	0	0	0	1	1	2
8	Maxim Afinogenov	Predators	RW	65	18	23	41	-4	103	5	206	111	167	40	129	10.78%	27	1320	20.32	3	11	14	28	224	2	0	2	3	173	3	1	47.29%	129	23	26	0	0	0.62	4	5	0	1	0	0	2	8
9	Marcus Johansson	Predators	LW	82	15	17	32	-5	6	0	39	100	192	64	111	7.81%	22	1084	13.23	1	0	1	2	5	0	0	0	6	144	2	0	42.86%	98	31	10	0	1	0.59	0	0	0	0	0	2	1	1
10	Jay Bouwmeester	Predators	D	82	5	23	28	-3	26	0	127	160	110	38	52	4.55%	111	2011	24.53	2	10	12	16	331	0	0	0	3	306	0	1	0.00%	0	23	54	0	0	0.28	0	0	0	0	0	0	1	0
11	Lauri Korpikoski	Predators	RW	82	8	18	26	-2	30	0	148	76	77	18	45	10.39%	31	1029	12.56	1	2	3	2	63	0	0	0	0	0	0	2	39.62%	53	7	16	0	0	0.50	0	0	0	0	0	3	1	0
12	Matt Moulson	Predators	LW	82	10	12	22	5	2	0	0	38	127	37	91	7.87%	15	573	6.99	0	0	0	0	0	0	0	0	2	25	2	0	48.57%	35	12	12	0	0	0.77	0	2	0	0	0	0	0	0
13	Paul Byron	Predators	C	82	9	9	18	3	29	5	80	74	99	48	58	9.09%	20	593	7.23	0	1	1	0	5	0	0	0	0	11	1	0	46.22%	238	11	14	0	0	0.61	0	0	0	0	1	0	2	0
14	Dmitry Kulikov	Predators	D	82	2	15	17	5	18	0	78	92	50	14	26	4.00%	74	1247	15.22	0	0	0	0	3	0	0	0	0	36	0	0	0.00%	0	9	42	0	0	0.27	0	0	0	0	0	0	0	2
15	Jonathan Ericsson	Predators	D	82	3	12	15	-4	56	10	145	134	69	34	35	4.35%	103	1746	21.30	0	0	0	7	211	0	0	0	2	190	0	1	0.00%	0	6	44	0	0	0.17	0	0	0	0	2	0	1	0
16	Deryk Engelland	Predators	D	82	2	11	13	3	32	0	146	105	68	26	33	2.94%	78	1416	17.27	1	0	1	2	96	0	0	0	0	75	0	0	0.00%	0	9	32	0	0	0.18	0	0	0	0	0	0	1	0
17	Ryan Wilson	Predators	D	82	2	10	12	0	19	5	106	111	61	22	18	3.28%	74	1463	17.85	0	0	0	4	109	0	0	0	0	132	0	0	0.00%	0	5	46	0	0	0.16	0	0	0	0	1	0	0	0
18	Matt Frattin	Predators	RW	82	3	3	6	5	30	0	108	34	34	7	29	8.82%	7	551	6.72	0	0	0	0	6	0	0	0	0	0	1	0	30.77%	13	5	4	0	0	0.22	0	0	0	0	0	1	0	0
19	Melker Karlsson	Predators (NSH)	RW	9	1	0	1	-1	0	0	6	13	4	2	2	25.00%	6	90	10.10	0	0	0	0	0	0	0	0	0	2	0	0	42.86%	7	0	2	0	0	0.22	0	0	0	0	0	0	0	0
20	Oskar Sundqvist	Predators (NSH)	C	7	0	1	1	0	2	0	3	6	4	1	3	0.00%	1	50	7.21	0	0	0	0	0	0	0	0	0	0	0	0	40.00%	25	0	1	0	0	0.40	0	0	0	0	0	0	0	0
21	Colton Sissons	Predators (NSH)	RW	9	0	0	0	-2	6	0	13	10	0	1	1	0.00%	5	92	10.23	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	1	3	0	0	0.00	0	0	0	0	0	0	0	0
22	Micheal Ferland	Predators (NSH)	LW	1	0	0	0	-1	0	0	3	0	1	0	1	0.00%	1	12	12.25	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	0	0.00	0	0	0	0	0	0	0	0
23	Lukas Krajicek	Predators (NSH)	D	6	0	0	0	1	0	0	0	1	3	3	3	0.00%	3	90	15.05	0	0	0	0	0	0	0	0	0	3	0	0	0.00%	0	1	1	0	0	0.00	0	0	0	0	0	0	0	0
24	Phil Di Giuseppe	Predators (NSH)	LW	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.23	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1479	258	436	694	4	678	50	2217	2218	2706	881	1591	9.53%	920	24190	16.36	60	103	163	281	2692	3	3	6	35	2083	35	18	50.14%	5636	434	505	2	6	0.57	9	28	3	2	5	32	38	37

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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	Henrik Lundqvist	Predators	68	31	31	4	0.910	2.98	3905	10	194	2165	846	1	0.625	24	65	17	8	5	4
2	Andrew Hammond	Predators	21	8	6	2	0.904	3.19	1053	0	56	581	241	0	0.667	6	17	65	2	2	0
Stats d'équipe Total ou en Moyenne			89	39	37	6	0.909	3.03	4958	10	250	2746	1087	1	0.633	30	82	82	10	7	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
Andrew Hammond	Predators	G	32	1988-02-11 05:11:14	No	215 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,500,000$