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	Jamie Benn		X			100.00	58	48	99	78	79	94	95	99	84	99	99	99	94	92	95	66	54	87	0
2	Ryan Kesler (A)	X				100.00	80	48	76	72	76	96	79	96	94	99	88	99	82	99	99	58	43	85	0
3	Loui Eriksson			X		100.00	42	29	99	71	74	95	93	99	61	92	93	93	86	96	91	63	54	82	0
4	Reilly Smith		X			100.00	63	43	83	86	72	85	95	89	58	86	87	95	67	81	79	53	55	81	0
5	Jakob Silfverberg			X		100.00	58	36	91	76	77	85	85	99	63	81	87	99	80	97	81	54	54	81	0
6	Derick Brassard	X				100.00	68	34	95	73	75	88	87	93	92	79	86	93	84	97	88	45	46	80	0
7	Sebastian Aho (R)			X		100.00	63	35	81	83	70	93	95	82	90	82	81	79	79	60	58	76	54	76	0
8	Mattias Janmark-Nylen (R)		X			100.00	56	41	86	75	73	86	97	79	70	86	80	79	65	77	67	58	54	75	0
9	Casey Cizikas	X				100.00	76	35	69	71	71	81	86	70	88	71	74	89	73	88	93	59	54	74	0
10	Jim O'Brien	X				100.00	71	46	67	65	77	69	94	87	93	75	76	77	74	77	76	59	54	73	0
11	Brian Boyle		X			100.00	79	44	69	68	99	82	86	67	79	63	71	82	69	86	95	41	57	72	0
12	Ryan White			X		100.00	80	68	73	68	75	75	80	70	92	56	59	65	69	84	85	33	55	66	0
13	Roman Josi				X	100.00	70	53	81	84	76	95	97	99	25	91	95	96	87	87	88	56	54	84	0
14	Matt Niskanen				X	100.00	90	44	84	75	77	97	94	99	25	81	78	93	75	98	94	48	54	83	0
15	Adam Larsson				X	100.00	92	35	76	69	85	89	95	85	30	71	71	99	65	83	77	82	54	81	0
16	Marc-Edouard Vlasic				X	100.00	68	38	94	76	76	88	92	87	25	78	80	95	79	96	95	41	54	81	0
17	Andy Greene				X	100.00	65	35	83	67	70	87	95	67	30	70	63	90	65	96	88	20	54	75	0
18	Justin Falk				X	100.00	90	43	82	62	84	72	66	61	30	70	57	94	56	86	90	44	54	74	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	71	42	83	73	77	87	90	85	63	79	79	90	75	88	86	53	53	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	Frederik Andersen	100.00	92	97	99	86	91	99	99	99	99	90	69	90	83	49	54	92	0
2	Jordan Binnington (R)	100.00	97	83	82	72	96	99	99	99	99	96	52	89	75	60	54	90	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	95	90	91	79	94	99	99	99	99	93	61	90	79	55	54	91

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Joel Quenneville	72	99	92	81	99	99	86	CAN	61	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	FT	S1	S2	S3
1	Jamie Benn	Blackhawks	LW	82	22	52	74	-9	16	0	135	205	327	109	185	6.73%	35	1854	22.61	7	14	21	57	290	3	1	4	13	342	1	3	51.67%	718	50	42	0	0	0.80	2	10	0	0	3	4	4
2	Reilly Smith	Blackhawks	LW	82	38	34	72	9	63	5	166	131	338	94	176	11.24%	31	1616	19.71	9	6	15	36	210	1	2	3	8	204	9	4	32.95%	88	57	25	0	1	0.89	0	1	0	1	9	3	1
3	Loui Eriksson	Blackhawks	RW	82	32	37	69	-3	6	0	84	143	249	70	158	12.85%	49	1641	20.01	9	9	18	53	289	1	3	4	8	175	3	4	48.18%	137	28	25	1	1	0.84	4	7	0	0	3	4	3
4	Ryan Kesler	Blackhawks	C	72	32	35	67	-9	106	0	184	186	213	57	129	15.02%	31	1467	20.38	7	10	17	34	214	1	1	2	6	227	5	0	49.57%	1626	33	25	1	0	0.91	3	7	0	0	1	4	3
5	Derick Brassard	Blackhawks	C	79	16	37	53	6	4	0	150	193	179	47	100	8.94%	30	1413	17.89	4	12	16	25	220	1	0	1	2	47	2	0	51.87%	1685	17	14	0	0	0.75	0	0	0	0	1	2	5
6	Jakob Silfverberg	Blackhawks	RW	82	19	34	53	3	10	0	95	107	258	70	157	7.36%	31	1400	17.08	6	8	14	30	211	0	1	1	0	27	0	3	35.29%	102	38	21	0	0	0.76	0	3	0	0	2	3	1
7	Sebastian Aho	Blackhawks	RW	82	17	25	42	-10	34	0	89	85	195	64	122	8.72%	20	947	11.55	0	0	0	0	5	0	0	0	0	0	1	3	44.44%	45	44	16	0	0	0.89	0	0	0	0	1	3	2
8	Roman Josi	Blackhawks	D	82	7	34	41	-14	88	0	174	188	185	70	76	3.78%	105	2020	24.63	3	12	15	31	318	0	2	2	6	324	1	0	0.00%	0	45	31	0	0	0.41	0	1	0	0	1	1	3
9	Mattias Janmark-Nylen	Blackhawks	LW	82	17	17	34	-9	20	0	58	71	165	59	98	10.30%	24	997	12.16	0	0	0	3	6	0	0	0	1	37	1	2	41.18%	51	32	14	0	0	0.68	0	0	0	0	2	0	0
10	Matt Niskanen	Blackhawks	D	82	8	23	31	-11	50	0	182	120	128	40	45	6.25%	112	2008	24.49	4	8	12	25	318	1	2	3	5	334	0	0	100.00%	1	29	52	0	0	0.31	0	0	0	0	0	2	2
11	Adam Larsson	Blackhawks	D	82	3	18	21	23	104	0	197	130	98	32	37	3.06%	110	1736	21.18	0	1	1	4	184	1	1	2	4	208	2	0	0.00%	0	15	42	0	0	0.24	0	0	0	0	1	1	0
12	Marc-Edouard Vlasic	Blackhawks	D	82	3	17	20	25	10	0	77	131	136	61	54	2.21%	94	1753	21.39	0	0	0	7	184	1	2	3	5	232	0	1	0.00%	0	32	39	0	0	0.23	0	0	0	0	0	2	0
13	Casey Cizikas	Blackhawks	C	82	8	10	18	-15	82	0	197	129	74	25	35	10.81%	32	1154	14.08	0	1	1	1	52	0	0	0	0	97	2	0	51.52%	924	3	19	0	0	0.31	0	0	0	0	1	3	1
14	Jim O'Brien	Blackhawks	C	82	10	8	18	1	22	0	58	61	116	32	48	8.62%	9	605	7.38	0	0	0	0	7	0	0	0	0	14	2	1	48.73%	316	13	7	0	0	0.59	0	0	0	0	1	0	4
15	Brian Boyle	Blackhawks	LW	82	5	9	14	-7	31	5	74	34	66	10	34	7.58%	9	508	6.20	0	0	0	0	0	0	0	0	0	0	0	0	53.85%	13	7	8	0	0	0.55	0	0	1	0	0	0	0
16	Justin Falk	Blackhawks	D	82	1	7	8	-28	42	0	131	96	51	20	16	1.96%	61	1254	15.30	0	0	0	0	1	0	0	0	0	92	0	0	0.00%	0	6	35	0	0	0.13	0	0	0	0	0	0	0
17	Andy Greene	Blackhawks	D	82	0	8	8	-25	30	0	55	96	47	17	21	0.00%	67	1145	13.97	0	0	0	0	1	0	0	0	0	2	0	0	100.00%	1	10	17	0	0	0.14	0	0	0	0	0	0	1
18	Ryan White	Blackhawks	RW	82	1	3	4	-7	33	5	77	24	33	9	21	3.03%	6	512	6.25	0	0	0	0	2	0	0	0	0	0	0	0	50.00%	12	1	3	0	0	0.16	0	0	0	1	0	0	0
19	Mark Jankowski	Blackhawks (CHI)	C	10	0	1	1	-2	2	0	1	12	7	9	7	0.00%	1	78	7.82	0	0	0	0	0	0	0	0	0	0	0	0	52.08%	48	2	2	0	0	0.26	0	0	0	0	0	0	0
20	Alexandre Fortin	Blackhawks (CHI)	LW	3	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.65	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
Stats d'équipe Total ou en Moyenne				1476	239	409	648	-82	753	15	2184	2142	2865	895	1519	8.34%	857	24117	16.34	49	81	130	306	2520	10	15	25	58	2371	29	21	50.16%	5767	462	437	2	2	0.54	9	29	1	2	26	32	30

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Jordan Binnington	Blackhawks	46	19	20	4	0.903	3.16	2602	6	1	137	1411	571	2	0.783	23	44	38	4	1	4
2	Frederik Andersen	Blackhawks	42	17	21	1	0.904	3.15	2363	4	0	124	1287	489	2	1.000	6	38	44	3	1	0
Stats d'équipe Total ou en Moyenne			88	36	41	5	0.903	3.15	4965	10	1	261	2698	1060	4	0.828	29	82	82	7	2	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
Adam Larsson	Blackhawks	D	27	1992-11-12 23:11:13	No	208 Lbs	6 ft3	No	No	No	2	Pro & Farm	4,250,000$