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	Nazem Kadri	X				100.00	66	50	70	82	66	75	93	74	82	72	76	60	47	53	48	0	50	69	0
2	Scott Hartnell		X			100.00	69	56	73	75	75	68	94	68	36	66	69	59	56	83	72	0	50	68	0
3	Jason Chimera		X	X		98.00	59	56	84	73	75	67	95	64	41	57	70	65	50	79	69	0	50	66	0
4	Brad Richards	X				100.00	47	35	90	75	68	68	80	63	84	63	63	61	53	86	79	0	50	65	0
5	Andrew Shaw	X	X	X		100.00	75	65	64	77	54	71	88	62	85	60	64	63	56	56	53	0	50	64	0
6	Viktor Arvidsson		X	X		99.00	52	35	85	84	54	69	67	66	35	61	71	72	45	37	34	0	50	64	0
7	Jake Guentzel (R)	X	X			100.00	54	35	88	80	55	65	42	70	39	67	73	59	30	37	37	0	50	62	0
8	Shawn Matthias	X	X			100.00	56	43	87	65	83	67	68	58	83	51	64	69	48	59	52	0	50	62	0
9	Matt Beleskey		X	X		100.00	71	65	74	70	70	68	71	58	37	56	60	60	48	59	52	0	50	61	0
10	Jimmy Hayes		X	X		100.00	66	56	81	64	75	63	78	55	35	51	58	56	53	47	43	0	50	58	0
11	Nate Thompson	X	X			100.00	63	50	80	65	73	62	57	48	85	45	50	74	45	64	56	0	50	58	0
12	Miikka Salomaki		X	X		100.00	66	35	84	65	69	62	44	50	41	45	54	70	48	38	35	0	50	55	0
13	Francois Beauchemin				X	100.00	68	50	85	67	68	81	94	57	35	58	55	80	48	75	68	0	50	69	0
14	Brett Pesce				X	100.00	60	35	88	64	66	74	86	49	35	53	45	88	48	37	34	0	50	64	0
15	Damon Severson				X	99.00	66	50	79	72	68	77	93	53	35	60	45	67	45	37	34	0	50	63	0
16	Shayne Gostisbehere				X	100.00	53	35	85	80	55	74	80	66	40	72	60	64	53	37	34	0	50	63	0
17	Joshua Morrissey				X	100.00	69	35	84	76	63	65	58	50	35	46	53	75	48	35	32	0	50	61	0
18	Thomas Chabot (R)				X	100.00	46	35	95	65	62	43	35	31	35	30	32	50	48	35	32	0	50	47	0
Rayé
1	Curtis McKenzie		X			100.00	74	65	66	69	71	61	46	55	38	54	56	70	48	37	34	0	50	58	0
2	Daniel Carr (R)		X	X		100.00	53	35	89	77	60	60	45	57	35	56	58	64	48	37	34	0	50	57	0
3	Connor Carrick				X	100.00	63	50	77	68	62	66	66	45	35	45	45	73	48	38	35	0	50	59	0

	MOYENNE D'ÉQUIPE					99.81	62	46	81	72	66	67	70	57	48	56	58	67	48	51	46	0	50	62

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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	Jonas Hiller	99.00	54	56	88	70	54	54	54	53	53	69	68	59	52	0	50	58	0
2	Garret Sparks	98.00	44	45	89	78	45	45	45	45	44	62	60	35	32	0	50	50	0
Rayé
1	Keith Kinkaid	80.90	68	45	88	73	68	67	65	69	69	76	94	43	38	0	50	64	0

	MOYENNE D'ÉQUIPE	92.33	55	49	88	74	56	55	55	56	55	69	74	46	41	0	50	57

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bob Hartley	63	63	70	70	99	99	77	CAN	57	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	EG	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nazem Kadri	San Jose	C	82	30	50	80	-17	74	10	126	155	255	13	46	11.76%	7	1435	17.51	16	21	37	73	335	0	0	0	3	37	8	1	51.08%	1848	0	1.11	1	3	1	0	0	8	3	4
2	Jake Guentzel	San Jose	C/LW	82	29	37	66	-15	12	0	30	120	218	14	39	13.30%	6	1412	17.22	9	16	25	56	321	0	0	0	0	1	1	3	30.39%	102	0	0.93	0	2	0	0	0	2	6	3
3	Shayne Gostisbehere	San Jose	D	82	14	43	57	-29	58	0	76	79	115	7	24	12.17%	44	1726	21.05	10	17	27	86	315	0	1	1	1	61	3	0	0.00%	0	0	0.66	0	0	0	0	0	3	2	1
4	Jason Chimera	San Jose	LW/RW	82	22	27	49	0	53	25	47	75	169	12	33	13.02%	13	1545	18.85	4	10	14	49	296	2	0	2	8	215	0	3	38.05%	113	0	0.63	0	0	1	1	3	0	2	6
5	Andrew Shaw	San Jose	C/LW/RW	79	16	31	47	-23	213	75	198	123	163	11	22	9.82%	10	1452	18.39	7	14	21	55	288	0	0	0	4	184	2	0	52.69%	780	0	0.65	2	3	7	1	7	1	1	2
6	Scott Hartnell	San Jose	LW	82	19	22	41	-24	105	35	103	77	165	15	20	11.52%	7	1303	15.90	9	9	18	54	284	0	0	0	0	19	2	0	37.39%	115	0	0.63	1	3	1	1	5	3	2	1
7	Francois Beauchemin	San Jose	D	77	10	27	37	-27	128	10	137	93	121	7	13	8.26%	137	1850	24.03	6	9	15	74	254	0	1	1	1	331	1	1	0.00%	0	0	0.40	0	0	0	1	1	1	1	3
8	Viktor Arvidsson	San Jose	LW/RW	76	18	18	36	-9	18	0	42	102	179	10	44	10.06%	12	1460	19.22	4	8	12	46	287	1	0	1	9	283	2	1	27.12%	118	1	0.49	0	0	0	0	0	2	1	5
9	Brett Pesce	San Jose	D	82	7	28	35	-17	116	0	124	90	59	4	12	11.86%	121	1616	19.72	1	0	1	12	73	0	2	2	1	339	1	0	0.00%	0	0	0.43	0	0	0	0	0	0	2	0
10	Damon Severson	San Jose	D	79	6	23	29	-27	114	10	113	67	70	8	12	8.57%	97	1761	22.30	3	10	13	49	293	0	0	0	0	328	1	0	0.00%	0	0	0.33	0	0	1	0	1	0	0	1
11	Joshua Morrissey	San Jose	D	71	6	22	28	-13	60	0	97	42	85	6	10	7.06%	89	1275	17.96	4	11	15	52	271	0	1	1	1	194	0	2	0.00%	0	0	0.44	0	0	0	0	0	0	1	1
12	Brad Richards	San Jose	C	82	12	11	23	-14	0	0	8	102	104	10	25	11.54%	6	918	11.20	1	1	2	3	40	0	0	0	0	49	3	0	53.98%	954	0	0.50	0	1	0	0	0	0	1	2
13	Jimmy Hayes	San Jose	LW/RW	79	5	12	17	-13	66	30	85	32	56	2	14	8.93%	3	917	11.62	1	1	2	6	64	0	0	0	1	30	0	2	31.58%	57	0	0.37	0	0	2	2	2	0	1	1
14	Shawn Matthias	San Jose	C/LW	75	7	8	15	-1	21	5	25	100	69	6	25	10.14%	15	828	11.05	0	0	0	0	1	0	0	0	3	224	1	1	54.11%	791	0	0.36	0	0	1	0	0	0	0	2
15	Nate Thompson	San Jose	C/LW	79	4	10	14	-13	21	5	17	109	49	3	6	8.16%	16	850	10.76	0	0	0	0	2	0	2	2	2	311	0	0	54.61%	1084	0	0.33	0	0	0	1	0	0	0	0
16	Matt Beleskey	San Jose	LW/RW	76	5	8	13	-12	93	25	106	48	73	11	16	6.85%	6	971	12.78	0	1	1	3	37	1	0	1	2	110	0	0	23.66%	93	0	0.27	0	0	2	2	1	1	0	1
17	Curtis McKenzie	San Jose	LW	63	6	5	11	-17	72	20	80	36	51	0	1	11.76%	8	703	11.16	0	0	0	0	0	1	0	1	1	266	1	0	21.05%	57	0	0.31	0	0	1	0	3	1	0	1
18	Miikka Salomaki	San Jose	LW/RW	52	3	4	7	-5	20	0	25	22	41	3	7	7.32%	6	442	8.51	0	1	1	0	5	0	0	0	0	31	0	0	37.04%	27	0	0.32	0	0	0	0	0	0	1	0
19	Connor Carrick	San Jose	D	52	2	5	7	-10	40	0	56	29	19	0	3	10.53%	51	784	15.09	0	0	0	0	9	0	0	0	0	161	0	1	0.00%	0	0	0.18	0	0	0	0	0	0	0	0
20	Daniel Carr	San Jose	LW/RW	47	2	4	6	-16	2	0	4	22	24	4	7	8.33%	1	343	7.32	0	0	0	0	19	0	0	0	0	4	0	0	11.11%	18	0	0.35	0	0	0	0	0	0	0	1
21	Dylan DeMelo	Sharks (San)	D	5	1	2	3	1	4	0	6	3	6	2	3	16.67%	3	90	18.10	0	2	2	3	19	0	0	0	0	10	0	0	0.00%	0	0	0.66	0	0	0	0	0	0	1	0
22	Scott Harrington	Sharks (San)	D	6	0	2	2	0	8	0	4	1	2	0	3	0.00%	7	102	17.15	0	0	0	0	1	0	0	0	0	21	0	0	0.00%	0	0	0.39	0	0	0	0	0	0	0	0
23	Nicklas Grossman	Sharks (San)	D	9	1	0	1	1	10	0	16	7	5	3	0	20.00%	10	143	15.96	0	0	0	0	3	0	0	0	0	25	0	0	0.00%	0	0	0.14	0	0	0	0	0	0	1	0
24	Thomas Chabot	San Jose	D	17	0	1	1	-1	7	5	5	1	1	2	1	0.00%	12	288	16.95	0	0	0	1	53	0	0	0	0	33	0	0	0.00%	0	0	0.07	0	0	0	0	1	0	0	0
Stats d'équipe Total ou en Moyenne				1516	225	400	625	-301	1315	255	1530	1535	2099	153	386	10.72%	687	24227	15.98	75	131	206	622	3282	5	7	12	37	3277	26	15	50.40%	6157	1	0.52	4	12	17	9	24	22	26	35

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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	A	EG	ST	BG	S1	S2
1	Keith Kinkaid	San Jose	29	7	17	2	0.869	3.84	1611	0	103	788	0	0	29	12	1	1
2	Jonas Hiller	San Jose	24	6	12	2	0.872	3.70	1183	6	73	570	1	1	17	51	0	1
3	Garret Sparks	San Jose	6	2	3	0	0.823	5.24	252	0	22	124	0	0	5	8	0	0
Stats d'équipe Total ou en Moyenne			59	15	32	4	0.866	3.90	3047	6	198	1482	1	1	51	71	1	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	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 Shaw	San Jose	C/LW/RW	25	1991-07-20	No	179 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	2,000,000$