Ligue de hockey Simulée Ste-Flanelle

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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	Josh Bailey			X		98.00	51	35	89	78	73	76	95	70	42	76	64	63	47	59	50	0	50	68	0
2	Jonathan Huberdeau		X			100.00	59	43	83	82	61	75	63	76	37	79	72	63	61	48	40	0	50	67	0
3	Elias Lindholm	X		X		98.00	65	35	88	76	65	75	91	69	86	74	64	73	45	48	38	0	50	67	0
4	Tomas Hertl	X	X			99.00	65	35	87	70	75	74	73	68	85	66	69	69	48	50	42	0	50	66	0
5	Max Domi		X			100.00	54	61	78	80	67	72	74	71	35	77	65	58	39	37	34	0	50	65	0
6	Mikhail Grigorenko	X	X			100.00	55	35	89	71	73	70	92	60	83	58	62	65	56	45	40	0	50	63	0
7	Andrew Copp	X	X			100.00	62	35	88	70	71	63	76	56	80	51	60	71	48	37	34	0	50	60	0
8	Peter Holland	X				100.00	58	50	84	70	69	64	65	56	80	54	58	59	58	46	42	0	50	59	0
9	Linden Vey	X		X		100.00	53	35	91	73	61	62	40	59	61	59	58	61	53	44	39	0	50	58	0
10	Oliver Bjorkstrand (R)			X		99.00	49	35	89	75	53	62	39	62	45	58	66	58	45	38	35	0	50	58	0
11	Drew Miller		X	X		100.00	61	35	87	68	58	62	55	48	35	43	52	74	48	65	58	0	50	57	0
12	Phillip Di Giuseppe		X	X		100.00	67	43	84	71	69	63	50	54	35	54	54	59	45	37	34	0	50	56	0
13	Johnny Boychuk				X	100.00	73	50	86	68	77	79	82	60	40	62	57	85	45	66	61	0	50	70	0
14	Niklas Kronwall				X	99.00	61	43	82	71	62	78	75	56	35	63	49	73	48	76	69	0	50	66	0
15	Trevor van Riemsdyk				X	100.00	57	43	84	68	61	72	76	49	35	49	49	80	56	38	37	0	50	62	0
16	Zach Werenski (R)				X	99.00	53	35	89	81	72	59	55	60	35	64	55	72	48	35	32	0	50	62	0
17	Christian Folin				X	100.00	69	50	83	63	68	67	61	46	35	47	45	78	48	44	39	0	50	61	0
18	Colin Miller				X	100.00	65	50	74	70	64	66	68	51	35	49	53	66	45	38	35	0	50	59	0
Rayé
1	Anze Kopitar (C)	X				S2	55	43	86	73	79	83	93	76	86	81	71	74	63	70	63	0	50	73	0
2	Ryan O'Reilly	X	X			99.00	53	35	91	75	73	83	90	77	90	80	74	77	47	57	48	0	50	72	0
3	Tanner Pearson		X			S1	61	43	89	76	71	70	94	64	38	58	70	71	50	49	43	0	50	65	0

	MOYENNE D'ÉQUIPE					99.57	59	41	86	73	68	70	72	61	54	62	60	69	50	49	43	0	50	64

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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	Craig Anderson	98.00	84	72	95	68	85	84	84	85	84	78	91	70	63	0	50	78	0
2	Jonathan Bernier	100.00	71	51	87	66	71	71	70	71	72	74	84	53	51	0	50	67	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	78	62	91	67	78	78	77	78	78	76	88	62	57	0	50	73

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Alain Vigneault	88	92	90	96	99	99	94	QUE	56	1	500,000$

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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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Ryan O'Reilly	Washington	C/LW	79	42	51	93	5	14	0	45	177	321	12	55	13.08%	17	1681	21.29	15	21	36	94	370	2	0	2	12	184	10	0	56.84%	1835	0	1.11	0	1	0	0	0	8	8	8
2	Elias Lindholm	Washington	C/RW	82	27	43	70	8	42	0	114	166	215	26	48	12.56%	14	1608	19.62	11	17	28	63	333	0	1	1	6	238	4	1	51.20%	1246	1	0.87	1	1	0	0	0	8	2	1
3	Jonathan Huberdeau	Washington	LW	73	24	41	65	6	24	0	83	118	254	21	50	9.45%	5	1338	18.33	4	21	25	49	292	1	0	1	2	59	3	1	32.98%	94	1	0.97	2	5	0	0	0	6	2	1
4	Anze Kopitar	Washington	C	74	15	48	63	13	32	0	83	194	191	14	27	7.85%	12	1651	22.31	4	17	21	56	314	0	1	1	3	325	1	2	53.83%	2311	0	0.76	1	6	0	0	0	2	3	5
5	Josh Bailey	Washington	RW	82	23	37	60	5	16	0	49	85	181	13	45	12.71%	7	1463	17.84	14	21	35	52	345	0	1	1	0	38	1	1	36.00%	125	0	0.82	1	1	0	0	0	2	2	5
6	Johnny Boychuk	Washington	D	82	12	45	57	2	176	50	128	95	137	9	27	8.76%	114	1963	23.95	7	15	22	88	353	0	1	1	2	283	3	1	0.00%	0	0	0.58	0	0	1	2	6	2	4	3
7	Tomas Hertl	Washington	C/LW	79	16	35	51	0	24	0	74	104	184	6	27	8.70%	10	1258	15.92	4	12	16	51	247	0	0	0	3	157	1	0	52.40%	1042	0	0.81	1	1	0	0	0	1	1	1
8	Tanner Pearson	Washington	LW	75	23	16	39	12	46	10	53	68	163	4	15	14.11%	12	1107	14.76	2	4	6	17	95	0	0	0	4	183	3	0	33.10%	142	0	0.70	1	1	1	0	0	5	3	5
9	Max Domi	Washington	LW	81	11	27	38	3	60	20	76	74	146	7	22	7.53%	5	1179	14.56	2	5	7	25	181	0	0	0	2	46	0	0	32.95%	88	0	0.64	0	1	0	3	1	1	4	1
10	Zach Werenski	Washington	D	75	8	28	36	-8	26	0	18	48	69	7	20	11.59%	47	1428	19.05	5	8	13	43	287	0	0	0	0	78	1	1	0.00%	0	0	0.50	0	0	0	0	0	1	2	2
11	Niklas Kronwall	Washington	D	81	6	27	33	-4	36	0	67	77	89	5	15	6.74%	97	1806	22.31	4	12	16	58	353	0	0	0	1	288	0	0	0.00%	0	0	0.37	0	0	0	0	0	1	3	2
12	Christian Folin	Washington	D	77	4	16	20	5	89	5	109	56	52	3	13	7.69%	89	1462	19.00	1	4	5	11	128	0	0	0	1	188	0	0	0.00%	0	0	0.27	0	0	0	0	1	0	2	0
13	Trevor van Riemsdyk	Washington	D	50	3	16	19	-10	14	0	45	47	42	5	5	7.14%	56	973	19.46	0	4	4	9	82	0	0	0	2	163	1	0	0.00%	0	0	0.39	0	0	0	0	0	0	2	2
14	Oliver Bjorkstrand	Washington	RW	60	11	6	17	-6	12	0	25	40	82	7	11	13.41%	0	717	11.96	0	1	1	2	42	0	0	0	0	0	2	0	29.27%	41	0	0.47	0	0	0	0	0	0	1	0
15	Mikhail Grigorenko	Washington	C/LW	41	6	10	16	0	24	0	26	51	68	1	5	8.82%	4	569	13.89	0	3	3	4	82	0	0	0	0	12	1	1	57.91%	449	0	0.56	0	1	0	0	0	1	0	1
16	Colin Miller	Washington	D	74	4	10	14	-20	92	10	92	30	34	7	12	11.76%	48	1325	17.91	1	2	3	10	205	0	0	0	0	109	0	0	0.00%	0	0	0.21	0	0	0	0	2	0	1	0
17	Linden Vey	Washington	C/RW	78	4	10	14	-11	10	0	17	39	63	7	15	6.35%	4	617	7.92	0	0	0	2	19	0	0	0	0	0	1	0	34.88%	43	0	0.45	0	0	0	0	0	0	1	0
18	Drew Miller	Washington	LW/RW	76	2	8	10	-5	41	5	46	41	54	5	12	3.70%	4	732	9.64	1	1	2	6	46	0	0	0	0	116	0	0	28.13%	64	0	0.27	0	1	0	0	0	0	0	1
19	Peter Holland	Washington	C	57	3	7	10	-4	25	5	34	34	34	2	0	8.82%	2	420	7.37	0	0	0	2	17	0	0	0	0	1	1	0	52.09%	455	0	0.48	3	4	0	0	1	0	1	0
20	Andrew Copp	Washington	C/LW	82	4	5	9	-22	18	0	66	97	74	3	17	5.41%	10	875	10.68	0	0	0	1	26	2	0	2	3	166	1	0	48.76%	523	0	0.21	0	0	0	0	0	0	1	1
21	Shea Theodore	Bears (Was)	D	35	1	5	6	3	26	0	28	14	9	0	3	11.11%	19	533	15.25	0	0	0	1	27	0	0	0	0	53	0	0	0.00%	0	0	0.22	0	0	0	0	0	0	0	0
22	Joe Morrow	Bears (Was)	D	6	0	1	1	0	2	0	6	0	0	0	0	0.00%	5	100	16.76	0	0	0	0	2	0	0	0	0	14	0	0	0.00%	0	0	0.20	0	0	0	0	0	0	0	0
23	Andreas Martinsen	Bears (Was)	LW/RW	4	0	0	0	0	4	0	4	2	1	0	0	0.00%	0	27	6.94	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0.00	0	0	0	0	0	0	0	0
24	Byron Froese	Bears (Was)	C	10	0	0	0	-5	4	0	1	14	7	0	0	0.00%	0	86	8.67	0	0	0	0	0	0	0	0	0	1	0	0	56.79%	81	0	0.00	0	0	0	0	0	0	0	0
25	Michael McCarron	Bears (Was)	C/RW	6	0	0	0	-2	9	5	2	1	3	0	0	0.00%	0	39	6.61	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	14	0	0.00	0	0	1	0	0	0	0	0
26	Phillip Di Giuseppe	Washington	LW/RW	28	0	0	0	-6	10	0	18	5	17	0	1	0.00%	1	225	8.06	0	0	0	0	0	0	0	0	0	3	0	0	38.46%	13	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1547	249	492	741	-41	876	110	1309	1677	2490	164	445	10.00%	582	25196	16.29	75	168	243	644	3856	5	4	9	41	2717	34	8	52.28%	8568	2	0.59	10	23	3	5	11	38	43	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	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Craig Anderson	Washington	76	35	28	6	0.897	2.66	4304	4	6	191	1851	1	0.864	22	70	12	5	1	5
2	Jonathan Bernier	Washington	16	4	9	0	0.843	4.45	647	2	0	48	306	0	0.000	0	12	70	0	1	1
Stats d'équipe Total ou en Moyenne			92	39	37	6	0.889	2.90	4952	6	6	239	2157	1	0.864	22	82	82	5	2	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	Status	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 Copp	Washington	C/LW	22	1994-07-08	No	206 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	925,000$