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	Derek Stepan	X				99.00	55	41	88	77	74	85	91	90	89	99	96	92	70	84	84	55	56	83	0
2	Ryan O'Reilly		X			100.00	41	29	99	78	77	93	88	95	99	96	87	94	86	96	89	51	35	82	0
3	Ondrej Palat			X		100.00	70	25	93	69	73	84	84	96	51	84	97	96	88	87	82	63	43	81	0
4	Michael Frolik		X			100.00	46	30	97	75	74	79	84	91	61	90	95	83	72	98	87	49	56	80	0
5	Nazem Kadri			X		100.00	75	47	77	80	74	87	86	85	93	90	94	75	90	90	83	62	56	80	0
6	Mike Hoffman			X		100.00	39	26	99	76	72	77	89	94	59	99	99	76	50	81	77	30	56	80	0
7	Bo Horvat	X				100.00	63	44	78	70	77	86	90	83	99	88	87	97	59	80	77	84	56	79	0
8	Nick Bonino	X				100.00	66	64	68	72	75	91	80	84	95	85	82	88	77	86	78	13	44	77	0
9	Milan Lucic		X			100.00	99	76	73	69	81	85	92	74	61	86	78	71	72	91	94	36	60	76	0
10	Dale Weise (R)		X			100.00	74	41	74	64	82	76	86	78	63	73	83	74	60	77	77	44	56	72	0
11	Cody Eakin	X				100.00	68	35	78	72	72	84	91	71	84	68	72	82	72	71	57	53	56	71	0
12	Dwight King			X		100.00	79	68	90	56	84	72	80	61	58	58	63	83	69	99	84	36	57	67	0
13	Dion Phaneuf				X	98.00	80	43	85	65	81	95	97	99	56	88	85	97	83	99	99	28	56	84	0
14	Torey Krug				X	97.00	66	42	87	78	70	85	95	97	25	96	90	79	80	81	77	33	53	79	0
15	Jeff Petry				X	100.00	83	35	80	73	85	95	97	72	30	77	80	94	75	77	62	45	56	79	0
16	Calvin de Haan				X	100.00	80	36	95	74	75	86	85	76	25	73	63	96	50	82	78	58	56	77	0
17	Hampus Lindholm				X	100.00	70	40	90	69	77	90	95	77	30	77	81	88	73	80	79	83	56	77	0
18	Brayden McNabb (R)				X	100.00	84	35	70	65	89	84	94	64	30	68	73	92	63	72	70	52	53	75	0
Rayé

	MOYENNE D'ÉQUIPE					99.67	69	42	85	71	77	85	89	83	62	83	84	87	72	85	80	49	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	Sergei Bobrovsky	99.00	93	97	97	77	88	99	99	99	99	84	93	99	89	31	50	91	0
2	Jacob Markstrom	100.00	89	93	95	94	88	92	94	93	92	88	67	84	78	63	56	89	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	91	95	96	86	88	96	97	96	96	86	80	92	84	47	53	90

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Cooper	91	92	94	91	75	82	85	CAN	40	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	Ryan O'Reilly	Ducks	LW	73	34	48	82	2	14	0	101	160	292	98	153	11.64%	36	1608	22.04	10	14	24	66	280	2	2	4	7	264	4	0	52.60%	538	42	24	4	2	1.02	8	15	0	0	0	5	4	7
2	Derek Stepan	Ducks	C	82	23	58	81	3	48	0	172	255	307	91	175	7.49%	54	1829	22.31	8	16	24	52	314	0	2	2	8	289	1	3	48.01%	2064	48	24	0	0	0.89	6	19	0	0	0	2	7	4
3	Mike Hoffman	Ducks	RW	82	26	40	66	-1	4	0	63	126	300	73	161	8.67%	38	1395	17.02	7	7	14	36	238	0	0	0	0	14	3	1	40.70%	86	54	14	0	1	0.95	1	5	0	0	0	5	2	2
4	Michael Frolik	Ducks	LW	82	31	34	65	8	4	0	113	128	275	105	189	11.27%	35	1651	20.14	4	7	11	35	248	4	0	4	15	184	5	2	42.20%	109	46	26	0	1	0.79	2	8	0	0	0	2	3	4
5	Bo Horvat	Ducks	C	82	23	23	46	-2	88	0	187	203	129	37	97	17.83%	37	1393	16.99	5	4	9	20	243	0	0	0	0	0	2	3	51.25%	1559	12	19	0	0	0.66	0	0	0	0	0	3	2	3
6	Ondrej Palat	Ducks	RW	76	26	19	45	5	20	0	152	108	167	58	102	15.57%	30	1462	19.24	6	6	12	38	292	0	1	1	5	132	3	4	37.66%	154	22	22	0	0	0.62	4	12	0	0	0	3	3	4
7	Nazem Kadri	Ducks	RW	82	20	23	43	2	32	0	119	86	224	57	131	8.93%	22	1057	12.90	1	1	2	2	35	0	0	0	2	23	1	3	52.73%	55	35	16	1	1	0.81	2	6	0	0	0	3	2	3
8	Torey Krug	Ducks	D	82	3	35	38	20	63	5	157	172	164	65	60	1.83%	99	2057	25.09	0	7	7	29	350	0	5	5	4	301	0	1	0.00%	0	45	53	0	0	0.37	1	1	0	1	0	1	3	1
9	Dion Phaneuf	Ducks	D	82	6	32	38	22	38	0	193	142	121	57	61	4.96%	92	2018	24.61	2	8	10	16	350	1	3	4	7	304	1	0	0.00%	0	24	49	1	0	0.38	2	2	0	0	0	1	2	3
10	Nick Bonino	Ducks	C	82	15	19	34	11	94	20	87	151	157	64	97	9.55%	22	1008	12.30	0	0	0	1	7	0	0	0	1	40	2	4	52.00%	750	31	13	0	0	0.67	0	1	1	2	1	1	1	1
11	Calvin de Haan	Ducks	D	82	4	21	25	-4	14	0	114	116	83	31	36	4.82%	103	1725	21.04	0	3	3	8	201	0	0	0	1	200	2	0	0.00%	0	17	57	0	0	0.29	0	0	0	0	0	0	0	0
12	Jeff Petry	Ducks	D	82	5	17	22	-5	84	0	171	138	97	28	34	5.15%	98	1725	21.04	3	2	5	9	214	0	0	0	2	188	0	2	0.00%	0	24	42	0	0	0.25	1	1	0	0	0	0	0	3
13	Milan Lucic	Ducks	LW	82	6	15	21	3	60	10	143	79	113	35	69	5.31%	26	982	11.98	0	1	1	0	27	0	0	0	1	88	1	2	52.50%	80	12	14	0	0	0.43	0	0	1	0	1	0	0	0
14	Cody Eakin	Ducks	C	82	9	11	20	1	24	0	42	64	94	48	67	9.57%	15	562	6.87	0	0	0	0	0	0	0	0	0	4	2	1	44.13%	213	14	8	0	0	0.71	0	0	0	0	0	0	1	1
15	Dale Weise	Ducks	LW	82	13	7	20	5	28	0	92	59	104	24	51	12.50%	15	711	8.68	0	0	0	0	2	0	0	0	0	31	5	2	47.62%	21	2	9	0	0	0.56	0	0	0	0	0	2	0	1
16	Brayden McNabb	Ducks	D	82	4	15	19	3	75	5	148	104	57	20	34	7.02%	88	1247	15.22	0	0	0	0	1	0	0	0	0	81	0	0	0.00%	0	7	41	0	0	0.30	0	0	0	1	0	0	0	1
17	Hampus Lindholm	Ducks	D	82	3	9	12	-4	8	0	76	97	63	41	16	4.76%	69	1184	14.44	0	0	0	2	14	0	0	0	1	19	0	0	0.00%	0	24	23	0	0	0.20	0	0	0	0	0	0	1	1
18	Dwight King	Ducks	RW	82	5	3	8	0	7	5	56	46	33	9	17	15.15%	15	549	6.70	1	0	1	1	3	0	0	0	0	0	0	0	38.46%	13	0	9	0	0	0.29	0	1	0	0	1	1	1	0
19	Travis Konecny	Ducks (ANA)	LW	9	0	4	4	-2	4	0	7	6	14	5	9	0.00%	3	77	8.65	0	0	0	0	0	0	0	0	0	10	0	0	60.00%	5	4	1	0	0	1.03	0	0	0	0	0	0	0	0
20	Kaspars Daugavins	Ducks (ANA)	RW	6	0	2	2	4	7	5	10	5	2	2	2	0.00%	1	67	11.20	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	0	1	0	0	0.60	0	0	1	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1476	256	435	691	71	716	50	2203	2245	2796	948	1561	9.16%	898	24317	16.48	47	76	123	315	2828	7	13	20	54	2183	32	28	49.33%	5650	463	465	6	5	0.57	27	71	3	4	3	29	32	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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jacob Markstrom	Ducks	52	25	17	8	0.915	2.86	3023	4	144	1694	723	1	3	0.526	38	50	32	2	3	2
2	Sergei Bobrovsky	Ducks	22	8	8	4	0.900	3.20	1257	0	67	669	285	2	0	0.591	22	20	63	1	2	0
Stats d'équipe Total ou en Moyenne			74	33	25	12	0.911	2.96	4280	4	211	2363	1008	3	3	0.550	60	70	95	3	5	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
Bo Horvat	Ducks	C	25	1995-04-05 23:11:13	No	214 Lbs	6 ft0	No	No	No	2	Pro & Farm	4,000,000$