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	Sidney Crosby (C)	X				99.00	56	43	85	91	68	81	91	86	83	84	88	62	68	78	75	0	50	77	0
2	Daniel Sedin		X			100.00	50	35	85	80	63	77	95	72	36	72	71	57	53	84	73	0	50	69	0
3	Antoine Vermette	X	X			100.00	54	35	78	77	68	73	90	64	92	63	65	62	50	77	68	0	50	66	0
4	Leo Komarov		X			100.00	80	43	84	73	72	74	93	64	79	61	66	72	48	49	40	0	50	66	0
5	Troy Brouwer			X		99.00	73	56	83	70	75	75	93	64	62	59	68	64	50	71	64	0	50	66	0
6	Alex Killorn		X	X		99.00	64	50	78	75	67	75	94	65	39	62	68	64	42	51	45	0	50	65	0
7	Nikolai Kulemin		X	X		100.00	61	43	88	70	78	70	92	60	66	55	65	76	53	60	50	0	50	65	0
8	Joffrey Lupul		X	X		100.00	54	35	85	69	73	66	63	58	38	51	64	58	50	68	59	0	50	60	0
9	Michael Raffl		X			100.00	64	50	85	71	69	66	76	57	79	52	62	62	56	48	39	0	50	60	0
10	Derek Ryan	X		X		100.00	51	43	86	83	50	65	56	60	86	57	62	61	45	37	34	0	50	59	0
11	Joel Eriksson Ek (R)	X	X			100.00	64	35	88	76	68	52	36	44	42	42	46	56	48	35	33	0	50	52	0
12	Sonny Milano (R)		X			100.00	52	35	95	75	68	58	35	39	35	43	35	56	48	38	35	0	50	50	0
13	Kyle Quincey				X	98.00	72	50	78	66	71	74	80	53	35	52	53	81	48	67	60	0	50	67	0
14	Dan Boyle (A)				X	99.00	52	35	84	77	62	70	83	56	35	55	57	68	48	87	79	0	50	66	0
15	Michael Stone				X	100.00	75	35	81	64	69	78	82	56	40	59	53	81	48	48	43	0	50	66	0
16	Radko Gudas				X	99.00	94	61	64	71	67	73	86	51	35	53	49	79	48	45	41	0	50	66	0
17	John Oduya				X	99.00	59	43	86	66	63	75	75	51	35	54	47	79	48	68	59	0	50	65	0
18	Mark Fayne				X	100.00	60	43	88	62	70	59	48	46	35	47	45	69	48	55	47	0	50	58	0
Rayé
1	Dennis Rasmussen	X	X			100.00	60	35	90	66	72	60	70	48	78	44	52	73	48	38	35	0	50	57	0
2	Cody Almond	X	X			HO	46	89	31	41	69	31	40	32	35	32	32	49	46	40	36	0	50	41	0
3	Adam McQuaid				X	80.84	80	65	72	61	70	73	91	45	35	46	43	81	48	60	54	0	50	65	0
4	Victor Bartley				X	HO	61	43	79	60	70	53	35	45	35	47	41	67	47	44	39	0	50	55	0
5	Joey Laleggia (R)				X	100.00	35	37	37	37	55	35	35	35	37	35	35	37	36	32	30	0	50	39	0

	MOYENNE D'ÉQUIPE					98.78	62	45	79	69	68	66	71	54	51	53	55	66	49	56	49	0	50	61

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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	Ben Bishop	97.00	90	76	95	84	89	83	85	87	80	71	90	54	50	0	50	78	0
2	Darcy Kuemper	100.00	65	45	88	83	66	62	57	66	66	83	87	44	41	0	50	64	0
Rayé

	MOYENNE D'ÉQUIPE	98.50	78	61	92	84	78	73	71	77	73	77	89	49	46	0	50	71

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd Richards	79	66	75	78	90	69	76	USA	51	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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Sidney Crosby	Rangers	C	53	29	32	61	-10	31	5	46	150	221	16	39	13.12%	4	1092	20.61	10	11	21	52	207	0	0	0	1	89	2	3	52.94%	1379	0	2	1.12	1	3	0	0	1	5	6	2
2	Daniel Sedin	Rangers	LW	69	20	39	59	-1	8	0	29	98	184	14	42	10.87%	7	1340	19.43	5	17	22	49	269	0	0	0	6	164	2	0	26.67%	120	1	0	0.88	1	3	0	0	0	1	3	5
3	Alex Killorn	Rangers	LW/RW	82	26	30	56	1	72	20	111	73	206	14	35	12.62%	11	1424	17.38	7	11	18	49	298	0	1	1	1	112	4	3	37.84%	111	0	0	0.79	1	1	2	1	1	4	5	2
4	Troy Brouwer	Rangers	RW	82	25	30	55	-8	104	20	206	80	217	15	32	11.52%	13	1588	19.37	11	14	25	60	326	1	0	1	3	127	6	2	49.02%	153	0	0	0.69	1	2	2	1	1	4	4	3
5	Michael Stone	Rangers	D	78	11	40	51	-9	143	5	129	98	105	12	12	10.48%	106	1755	22.51	6	14	20	66	290	0	1	1	1	301	3	2	0.00%	0	0	0	0.58	0	0	0	0	1	2	1	1
6	Dan Boyle	Rangers	D	82	13	34	47	2	26	0	17	65	94	9	22	13.83%	81	1803	22.00	6	13	19	59	294	0	0	0	0	310	1	1	0.00%	2	0	1	0.52	0	0	0	0	0	2	2	3
7	Leo Komarov	Rangers	LW	82	23	24	47	9	105	5	187	123	201	11	33	11.44%	13	1411	17.22	8	7	15	46	225	0	3	3	6	257	6	0	49.40%	419	0	0	0.67	1	3	0	0	1	5	4	4
8	Radko Gudas	Rangers	D	82	11	35	46	0	245	55	285	90	103	7	15	10.68%	119	1668	20.34	7	7	14	57	255	1	0	1	4	252	1	1	0.00%	0	0	0	0.55	0	0	2	4	5	1	3	5
9	Kyle Quincey	Rangers	D	62	12	32	44	-4	73	5	114	77	85	12	28	14.12%	89	1439	23.22	3	11	14	45	222	1	1	2	1	238	2	1	0.00%	0	1	0	0.61	0	0	1	0	0	3	1	3
10	Derek Ryan	Rangers	C/RW	78	9	34	43	-9	10	0	21	131	150	11	22	6.00%	6	1256	16.11	4	14	18	47	267	0	1	1	2	32	1	0	50.57%	1497	0	0	0.68	0	1	0	0	0	0	1	2
11	Antoine Vermette	Rangers	C/LW	83	19	18	37	13	24	0	36	128	120	5	17	15.83%	5	1166	14.06	3	4	7	19	139	0	1	1	6	212	3	0	58.69%	1174	0	0	0.63	0	1	0	0	0	1	2	3
12	Nikolai Kulemin	Rangers	LW/RW	79	16	15	31	3	24	0	50	91	160	6	23	10.00%	24	1070	13.56	2	2	4	9	42	2	0	2	9	216	5	0	46.86%	175	0	0	0.58	0	0	0	0	0	1	3	4
13	John Oduya	Rangers	D	80	2	23	25	9	9	5	28	76	65	6	6	3.08%	99	1554	19.43	1	5	6	28	184	0	1	1	0	262	0	0	0.00%	0	0	0	0.32	0	0	0	0	1	0	0	0
14	Adam McQuaid	Rangers	D	81	4	19	23	-7	170	40	145	43	46	4	5	8.70%	79	1391	17.18	2	0	2	15	114	0	0	0	0	206	1	2	0.00%	0	0	0	0.33	0	0	2	2	4	1	0	1
15	Joffrey Lupul	Rangers	LW/RW	82	9	10	19	-12	18	0	17	32	85	4	18	10.59%	6	842	10.27	0	0	0	4	37	0	0	0	2	64	0	0	43.88%	98	0	0	0.45	1	2	0	0	0	1	0	0
16	Dennis Rasmussen	Rangers	C/LW	67	7	10	17	5	16	0	39	103	63	6	16	11.11%	11	870	12.99	1	2	3	1	22	0	0	0	4	269	0	0	49.30%	1069	0	0	0.39	0	0	0	0	0	1	1	3
17	Michael Raffl	Rangers	LW	76	5	10	15	-6	44	10	44	40	70	9	12	7.14%	11	766	10.09	0	0	0	0	12	0	0	0	0	40	0	0	53.01%	83	0	0	0.39	0	1	0	1	1	0	0	0
18	Joel Eriksson Ek	Rangers	C/LW	52	4	5	9	-10	25	5	44	31	22	3	4	18.18%	2	494	9.50	1	2	3	5	92	0	0	0	0	6	2	0	30.57%	543	0	0	0.36	0	0	0	0	1	0	2	0
19	Mark Fayne	Rangers	D	63	2	5	7	-12	23	5	23	24	23	0	0	8.70%	48	957	15.20	0	1	1	7	40	0	0	0	0	134	1	1	0.00%	0	0	0	0.15	0	0	0	0	1	0	1	0
20	Sonny Milano	Rangers	LW	40	0	1	1	-14	5	5	5	10	8	1	1	0.00%	1	434	10.87	0	0	0	0	3	0	0	0	0	0	0	0	21.74%	23	0	0	0.05	0	0	0	0	1	0	0	0
21	Andrew Bodnarchuk	Wolf Pack (Ran)	D	1	0	0	0	0	2	0	0	0	0	0	0	0.00%	0	15	15.22	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
22	Borna Rendulic	Wolf Pack (Ran)	LW/RW	1	0	0	0	0	2	0	0	1	0	0	0	0.00%	0	5	5.47	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
23	Jordan Caron	Wolf Pack (Ran)	LW/RW	1	0	0	0	0	2	0	0	0	0	0	0	0.00%	0	7	7.48	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
24	Hunter Shinkaruk	Wolf Pack (Ran)	LW/RW	2	0	0	0	0	0	0	0	1	2	0	1	0.00%	0	18	9.20	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
25	Jean-Sebastien Dea	Wolf Pack (Ran)	C/RW	1	0	0	0	0	0	0	0	1	1	0	0	0.00%	0	4	4.85	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0.00	0	0	0	0	0	0	0	0
26	Joey Laleggia	Rangers	D	31	0	0	0	-8	14	0	16	0	1	0	0	0.00%	0	300	9.68	0	0	0	1	28	0	0	0	0	16	0	0	25.00%	12	0	0	0.00	0	0	0	0	0	0	0	0
27	Adam Payerl	Wolf Pack (Ran)	C/RW	3	0	0	0	-1	0	0	0	3	0	0	0	0.00%	0	23	7.69	0	0	0	0	0	0	0	0	0	0	0	0	24.14%	29	0	0	0.00	0	0	0	0	0	0	0	0
28	Anton Lindholm	Wolf Pack (Ran)	D	9	0	0	0	-4	4	0	6	6	4	0	0	0.00%	6	122	13.66	0	0	0	0	1	0	0	0	0	15	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1502	247	446	693	-73	1199	185	1598	1575	2236	165	383	11.05%	741	24829	16.53	77	135	212	619	3377	5	9	14	46	3334	40	16	49.51%	6888	2	3	0.56	6	17	9	9	19	32	39	41

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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	Ben Bishop	Rangers	62	35	22	1	0.904	2.80	3532	2	2	165	1722	6	0.846	13	59	22	7	1	2
2	Darcy Kuemper	Rangers	29	9	12	3	0.864	3.88	1437	0	0	93	683	0	0.500	2	23	59	2	0	0
Stats d'équipe Total ou en Moyenne			91	44	34	4	0.893	3.12	4970	2	2	258	2405	6	0.800	15	82	81	9	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
Adam McQuaid	Rangers	D	29	1986-10-12	No	212 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	1,250,000$