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	Taylor Hall		X			100.00	68	44	80	86	75	93	80	99	99	99	99	99	99	86	86	73	82	87	0
2	Steven Stamkos	X				100.00	69	47	68	79	76	83	97	99	99	99	99	99	99	88	80	65	82	87	0
3	Johnny Gaudreau		X			100.00	42	28	99	83	64	93	94	99	59	99	99	96	94	88	81	69	82	86	0
4	Patrik Berglund (A)	X				100.00	25	1	99	66	77	99	99	98	96	96	99	99	97	99	95	72	82	85	0
5	Filip Forsberg			X		100.00	77	47	88	80	74	92	98	97	61	93	99	92	63	78	78	63	82	85	0
6	Mark Scheifele			X		100.00	63	38	93	86	76	95	79	95	89	94	98	95	77	66	61	82	79	84	0
7	Matt Duchene	X				100.00	65	41	85	89	72	89	90	83	99	99	96	86	93	86	83	69	78	84	0
8	Brendan Gallagher			X		100.00	52	35	89	76	71	84	86	99	71	99	99	96	92	69	75	48	77	84	0
9	Mark Stone			X		100.00	46	31	94	74	77	88	88	96	60	97	91	99	60	83	83	59	82	83	0
10	Nail Yakupov		X			100.00	55	23	98	72	73	94	87	96	63	90	96	98	88	76	76	82	80	82	0
11	Gabriel Bourque	X				100.00	68	45	92	62	72	96	97	84	98	85	91	93	91	75	76	35	82	79	0
12	Erik Johnson				X	100.00	89	53	76	67	82	94	90	99	58	99	89	99	84	91	89	49	79	85	0
13	Erik Karlsson				X	100.00	63	40	93	84	73	99	98	99	30	99	99	99	91	82	81	66	83	85	0
14	Kevin Shattenkirk (A)				X	100.00	79	50	69	75	76	86	90	98	53	95	93	98	85	82	92	47	82	83	0
15	Éliane Champagne (C)				X	100.00	57	46	93	73	80	92	89	69	20	98	98	99	99	99	99	29	82	82	0
16	Olli Maatta				X	100.00	68	36	93	81	77	79	76	93	25	91	90	99	75	69	73	44	82	80	0
17	Andrei Markov				X	100.00	19	1	99	63	75	83	84	99	67	99	99	95	99	99	99	46	82	80	0
18	Shayne Gostisbehere				X	100.00	61	40	90	78	68	89	94	85	30	99	94	93	58	67	59	59	82	79	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	59	36	89	76	74	90	90	94	65	96	96	96	86	82	81	59	81	83

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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	Braden Holtby	100.00	90	98	99	82	89	99	99	99	99	98	99	99	99	77	82	93	0
2	Matt Murray (R)	100.00	93	89	96	82	92	96	98	97	96	92	62	85	78	62	82	90	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	92	94	98	82	91	98	99	98	98	95	81	92	89	70	82	92

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Patrick Roy	98	95	93	99	70	77	82	CAN	53	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	S1	S2	S3
1	Matt Duchene	Wild	C	80	33	51	84	17	34	0	179	220	255	79	179	12.94%	40	1622	20.28	8	18	26	56	299	0	0	0	2	158	3	3	50.48%	1969	49	20	0	0	1.04	5	14	0	0	6	8	4
2	Steven Stamkos	Wild	C	82	28	52	80	11	104	0	240	208	208	78	134	13.46%	29	1647	20.10	6	16	22	31	272	0	0	0	0	3	4	2	51.71%	1961	31	21	2	0	0.97	3	11	0	0	6	4	6
3	Taylor Hall	Wild	LW	82	34	44	78	6	28	0	174	147	283	92	167	12.01%	42	1641	20.02	10	11	21	44	274	0	0	0	0	1	9	3	48.57%	105	61	20	0	1	0.95	2	11	0	0	9	5	4
4	Johnny Gaudreau	Wild	LW	82	32	43	75	23	10	0	126	138	246	103	162	13.01%	45	1535	18.73	7	18	25	42	276	0	0	0	0	15	8	4	42.25%	71	45	31	0	2	0.98	5	10	0	0	8	5	6
5	Mark Scheifele	Wild	RW	80	34	40	74	17	22	0	156	123	251	62	138	13.55%	31	1429	17.87	11	15	26	33	271	0	0	0	0	0	5	3	45.12%	82	41	18	0	0	1.04	0	0	0	0	6	12	1
6	Brendan Gallagher	Wild	RW	78	26	36	62	5	17	5	123	100	211	39	114	12.32%	41	1497	19.19	7	12	19	41	263	0	0	0	0	0	5	1	39.18%	97	30	19	0	0	0.83	0	1	0	1	3	2	3
7	Patrik Berglund	Wild	C	82	19	38	57	22	4	0	44	187	128	40	71	14.84%	40	1326	16.18	5	9	14	14	182	1	0	1	3	103	3	1	53.66%	1174	10	22	1	0	0.86	3	6	0	0	2	5	2
8	Nail Yakupov	Wild	LW	82	19	30	49	29	4	0	163	104	191	66	121	9.95%	40	1458	17.78	0	0	0	0	2	0	2	2	8	216	1	1	42.86%	70	28	20	0	0	0.67	0	0	0	0	6	5	4
9	Filip Forsberg	Wild	RW	82	15	20	35	16	30	0	145	87	157	55	104	9.55%	20	955	11.65	0	0	0	3	21	0	0	0	0	0	3	2	34.88%	43	35	15	0	0	0.73	0	0	0	0	0	1	6
10	Mark Stone	Wild	RW	82	12	15	27	17	4	0	33	67	120	41	65	10.00%	28	834	10.18	0	0	0	0	0	1	1	2	13	228	3	0	42.11%	38	24	22	0	0	0.65	0	0	0	0	3	0	3
11	Erik Karlsson	Wild	D	82	11	13	24	6	21	5	120	144	114	37	51	9.65%	93	1667	20.34	6	4	10	28	275	0	0	0	3	66	2	1	0.00%	0	33	30	1	0	0.29	0	0	1	0	0	1	2
12	Erik Johnson	Wild	D	82	3	19	22	32	86	0	163	133	64	26	19	4.69%	87	1478	18.03	0	0	0	1	4	0	0	0	1	196	1	0	0.00%	0	14	37	0	0	0.30	0	0	0	0	2	0	1
13	Éliane Champagne	Wild	D	82	5	16	21	29	20	0	91	101	64	27	20	7.81%	81	1644	20.06	3	2	5	13	279	0	1	1	3	204	0	0	0.00%	0	18	40	0	0	0.26	0	4	0	0	0	2	0
14	Kevin Shattenkirk	Wild	D	82	3	18	21	13	130	0	188	135	80	34	30	3.75%	90	1508	18.40	0	0	0	0	3	0	1	1	4	177	0	0	0.00%	0	26	41	0	0	0.28	0	0	0	0	0	0	2
15	Shayne Gostisbehere	Wild	D	82	3	18	21	25	14	0	117	115	65	28	43	4.62%	85	1572	19.17	2	3	5	14	277	0	0	0	2	23	2	0	0.00%	0	16	48	0	0	0.27	0	2	0	0	1	1	0
16	Olli Maatta	Wild	D	82	2	13	15	20	22	0	125	146	93	33	34	2.15%	92	1644	20.05	1	6	7	17	275	0	1	1	3	106	1	0	0.00%	0	32	45	0	0	0.18	0	0	0	0	0	0	2
17	Gabriel Bourque	Wild	C	82	6	6	12	11	6	0	74	96	53	20	25	11.32%	17	767	9.36	0	0	0	0	2	1	0	1	4	233	3	1	52.03%	615	2	16	0	0	0.31	0	0	0	0	0	0	0
18	Andrei Markov	Wild	D	82	0	2	2	-5	2	0	1	29	18	5	8	0.00%	25	419	5.12	0	0	0	1	1	0	0	0	6	165	0	0	0.00%	0	5	6	0	0	0.10	2	2	0	0	0	0	0
19	Nikita Scherbak	Wild (MIN)	LW	6	0	0	0	0	0	0	1	0	0	0	0	0.00%	0	4	0.77	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				1474	285	474	759	294	558	10	2263	2280	2601	865	1485	10.96%	926	24657	16.73	66	114	180	338	2983	3	6	9	52	1901	53	22	51.00%	6225	500	471	4	3	0.62	20	61	1	1	52	51	46

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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	Braden Holtby	Wild	55	38	11	5	0.931	2.26	3299	8	0	124	1805	772	5	1	0.718	39	55	27	4	8	5
2	Matt Murray	Wild	28	22	4	2	0.943	1.90	1677	2	2	53	923	387	0	1	0.500	12	27	55	7	3	1
Stats d'équipe Total ou en Moyenne			83	60	15	7	0.935	2.13	4977	10	2	177	2728	1159	5	2	0.667	51	82	82	11	11	6

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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
Andrei Markov	Wild	D	41	1978-12-20 17:11:13	No	203 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,500,000$