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	Zach Parise		X	X		99.00	58	43	84	80	66	77	86	73	37	71	74	67	44	73	63	0	50	70	0
2	Boone Jenner	X	X			100.00	81	50	78	72	75	71	95	63	84	58	68	69	53	49	40	0	50	66	0
3	Blake Comeau (A)		X	X		100.00	71	43	78	71	70	72	93	62	80	60	63	68	50	62	54	0	50	65	0
4	Zack Smith	X	X			100.00	65	56	75	72	72	71	92	62	86	56	68	71	45	58	51	0	50	65	0
5	Drew Stafford		X	X		100.00	57	35	85	71	74	71	78	63	42	61	65	60	50	65	55	0	50	63	0
6	Ryan Callahan (A)			X		100.00	66	56	75	71	58	72	53	63	35	60	65	68	61	72	63	0	50	63	0
7	Jamie McGinn		X	X		100.00	65	43	86	72	71	66	92	59	35	53	64	56	48	60	51	0	50	61	0
8	Dale Weise		X	X		100.00	67	50	82	70	72	65	79	56	43	50	61	63	48	55	48	0	50	60	0
9	Mikhail Grabovski	X	X	X		100.00	47	35	82	76	58	62	69	59	81	57	61	61	44	60	51	0	50	60	0
10	Matt Hendricks	X	X			100.00	66	61	75	68	72	63	66	51	85	46	56	73	53	60	52	0	50	60	0
11	Erik Condra		X	X		100.00	51	43	83	72	59	62	49	53	35	46	60	66	48	55	47	0	50	57	0
12	Gabriel Dumont (R)	X	X	X		100.00	64	50	78	71	60	53	41	48	80	48	48	65	48	44	41	0	50	55	0
13	Marc Methot (C)				X	100.00	76	43	85	63	74	76	84	46	35	49	43	83	48	64	56	0	50	66	0
14	Matt Hunwick				X	99.00	68	35	87	70	64	73	82	47	35	52	41	78	48	61	53	0	50	65	0
15	Jake McCabe				X	100.00	67	43	84	69	69	75	84	49	35	52	45	78	48	45	38	0	50	64	0
16	Nikita Zadorov				X	100.00	83	50	68	61	79	72	58	46	35	51	41	72	48	45	38	0	50	61	0
17	Tom Gilbert				X	96.65	53	43	87	65	69	67	47	47	35	47	47	69	48	64	54	0	50	59	0
18	Mike Reilly				X	100.00	56	35	89	66	63	59	38	42	35	39	45	63	48	37	34	0	50	54	0
Rayé
1	Taylor Chorney				X	85.63	61	43	83	68	61	56	40	44	35	45	43	73	48	50	46	0	50	58	0

	MOYENNE D'ÉQUIPE					98.89	64	45	81	70	68	68	70	54	51	53	56	69	49	57	49	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	Marc-Andre Fleury	100.00	82	73	96	66	82	77	84	81	69	78	90	74	70	0	50	76	0
Rayé
1	Anton Khudobin	69.72	43	45	78	70	41	47	47	39	47	90	70	50	46	0	50	52	0

	MOYENNE D'ÉQUIPE	84.50	63	59	87	68	62	62	66	60	58	84	80	62	58	0	50	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter DeBoer	78	95	88	84	87	75	84	CAN	49	2	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	Boone Jenner	Hartford	C/LW	84	25	38	63	-25	122	10	214	118	176	20	36	14.20%	5	1332	15.86	13	9	22	46	251	0	0	0	0	20	3	5	52.86%	1031	1	1	0.95	1	4	1	1	0	2	3	5
2	Zach Parise	Hartford	LW/RW	67	31	31	62	4	40	0	77	111	220	12	37	14.09%	11	1367	20.41	6	17	23	46	260	0	1	1	6	203	6	2	36.36%	165	0	1	0.91	1	1	0	0	0	9	4	3
3	Ryan Callahan	Hartford	RW	64	20	32	52	1	63	15	100	94	168	18	53	11.90%	5	1114	17.41	1	14	15	43	232	0	1	1	1	64	3	0	34.83%	89	0	0	0.93	0	3	0	1	2	3	4	3
4	Zack Smith	Hartford	C/LW	78	15	36	51	-7	91	25	112	144	209	14	28	7.18%	16	1428	18.32	6	12	18	58	242	0	0	0	9	228	4	0	52.75%	1621	0	0	0.71	0	0	1	3	1	3	1	2
5	Blake Comeau	Hartford	LW/RW	82	16	30	46	-15	64	0	121	104	178	16	30	8.99%	19	1382	16.86	3	12	15	27	172	2	0	2	9	229	1	0	53.69%	149	0	0	0.67	0	2	0	0	0	1	3	0
6	Jake McCabe	Hartford	D	81	10	33	43	-13	63	5	83	71	94	11	23	10.64%	108	1823	22.51	7	6	13	54	264	0	4	4	1	323	1	0	0.00%	0	0	0	0.47	0	0	0	0	1	1	3	2
7	Drew Stafford	Hartford	LW/RW	85	18	19	37	-2	34	0	40	85	148	11	33	12.16%	8	1231	14.49	4	5	9	25	180	0	0	0	0	49	3	1	37.50%	104	0	0	0.60	1	1	0	0	0	1	1	1
8	Matt Hunwick	Hartford	D	77	5	27	32	-5	56	0	66	93	73	3	11	6.85%	77	1705	22.15	2	3	5	42	261	0	0	0	1	268	0	0	0.00%	0	0	0	0.38	0	0	0	0	0	0	1	3
9	Mikhail Grabovski	Hartford	C/LW/RW	78	16	15	31	-17	14	0	17	73	142	7	24	11.27%	4	1074	13.78	7	5	12	40	250	0	0	0	0	28	1	1	49.54%	761	0	1	0.58	0	0	0	0	0	3	0	1
10	Marc Methot	Hartford	D	74	2	21	23	-12	102	0	143	65	58	3	9	3.45%	114	1458	19.72	0	2	2	12	47	1	2	3	2	295	0	0	0.00%	0	0	0	0.32	0	0	0	0	0	0	0	1
11	Tom Gilbert	Hartford	D	65	7	14	21	-12	32	0	37	35	42	2	8	16.67%	51	1158	17.82	2	5	7	17	187	0	1	1	0	122	1	0	0.00%	0	0	0	0.36	0	0	0	0	0	0	1	1
12	Nikita Zadorov	Hartford	D	71	4	17	21	-6	174	20	187	43	45	5	10	8.89%	74	1349	19.01	2	6	8	26	220	0	0	0	0	185	0	1	0.00%	0	0	0	0.31	0	0	2	0	2	1	1	0
13	Matt Hendricks	Hartford	C/LW	72	4	9	13	-14	50	20	75	126	58	4	15	6.90%	15	912	12.67	0	0	0	0	1	1	1	2	4	316	1	0	56.50%	1154	0	0	0.28	0	2	3	0	1	0	1	0
14	Jamie McGinn	Hartford	LW/RW	77	5	7	12	-2	24	0	36	44	71	5	14	7.04%	3	605	7.87	1	1	2	4	18	0	0	0	0	8	1	0	34.04%	47	0	0	0.40	1	1	0	0	0	1	0	0
15	Jesse Puljujarvi	Spiders (Har)	RW	33	5	3	8	-2	4	0	8	19	20	2	12	25.00%	1	332	10.07	0	0	0	2	20	0	0	0	0	0	1	0	22.58%	31	0	0	0.48	0	0	0	0	0	0	0	0
16	Erik Condra	Hartford	LW/RW	66	3	4	7	-7	10	0	32	41	74	9	26	4.05%	4	598	9.07	0	0	0	3	14	0	1	1	6	128	0	0	29.55%	44	0	0	0.23	0	0	0	0	0	0	0	1
17	Jimmy Vesey	Spiders (Har)	LW/RW	40	5	2	7	-5	4	0	9	14	27	0	0	18.52%	2	476	11.90	1	1	2	6	96	0	0	0	0	0	1	0	28.13%	32	0	0	0.29	0	2	0	0	0	0	0	0
18	Mike Reilly	Hartford	D	30	3	4	7	0	10	0	24	9	17	3	10	17.65%	21	539	17.98	0	1	1	7	74	0	0	0	0	40	1	0	0.00%	0	0	0	0.26	0	0	0	0	0	0	0	2
19	Dale Weise	Hartford	LW/RW	77	4	2	6	-15	50	10	56	47	62	4	3	6.45%	6	866	11.26	0	0	0	1	24	2	0	2	3	184	2	0	40.26%	77	0	0	0.14	0	2	1	1	0	0	0	1
20	John Quenneville	Spiders (Har)	C/LW	37	3	2	5	-2	4	0	9	28	35	0	0	8.57%	2	429	11.61	0	0	0	0	0	0	0	0	0	128	0	1	36.36%	88	0	0	0.23	0	0	0	0	0	0	0	0
21	Taylor Chorney	Hartford	D	42	1	3	4	0	24	0	30	22	13	0	0	7.69%	33	645	15.38	0	0	0	1	27	1	0	1	2	81	1	0	0.00%	0	0	0	0.12	0	0	0	0	0	0	0	0
22	Gabriel Dumont	Hartford	C/LW/RW	40	2	1	3	-4	30	10	22	33	23	2	2	8.70%	3	345	8.63	0	0	0	0	4	0	0	0	1	70	0	1	54.37%	160	0	0	0.17	0	0	1	0	1	1	0	0
23	Markus Nutivaara	Spiders (Har)	D	17	0	3	3	-3	4	0	8	4	3	1	0	0.00%	11	269	15.87	0	0	0	1	5	0	0	0	0	22	0	0	0.00%	0	0	0	0.22	0	0	0	0	0	0	0	0
24	John Hayden	Spiders (Har)	C/LW	21	0	2	2	0	18	0	19	6	8	0	0	0.00%	1	163	7.81	0	0	0	0	0	0	0	0	0	0	0	0	28.57%	14	0	0	0.24	0	0	0	0	0	0	0	0
25	Anders Bjork	Spiders (Har)	C/LW	32	1	0	1	-4	14	0	12	3	2	0	0	50.00%	1	262	8.21	1	0	1	1	11	0	0	0	0	21	1	0	19.44%	72	0	0	0.08	0	0	0	0	0	0	0	0
26	Tyler Graovac	Spiders (Har)	C/LW	21	0	1	1	-3	2	0	4	12	10	0	1	0.00%	1	161	7.70	0	0	0	0	0	0	0	0	0	10	0	0	50.59%	170	0	0	0.12	0	0	0	0	0	0	0	0
27	Taylor Leier	Spiders (Har)	LW	7	0	1	1	0	2	0	0	4	3	1	4	0.00%	1	102	14.68	0	0	0	0	0	0	0	0	0	26	0	0	30.00%	10	0	0	0.19	0	0	0	0	0	0	0	0
28	Nikolay Goldobin	Spiders (Har)	LW/RW	6	0	0	0	0	0	0	0	4	7	0	0	0.00%	2	78	13.06	0	0	0	0	3	0	0	0	0	18	0	0	40.00%	5	0	0	0.00	0	0	0	0	0	0	0	0
29	Tomas Nosek	Spiders (Har)	C/LW	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	11	11.13	0	0	0	0	0	0	0	0	0	3	0	0	14.29%	7	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1525	205	357	562	-170	1105	115	1541	1452	1986	153	389	10.32%	600	23230	15.23	56	99	155	462	2875	7	11	18	45	3081	32	12	50.49%	5831	1	3	0.48	4	18	9	6	8	26	23	26

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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	Marc-Andre Fleury	Hartford	71	31	32	6	0.889	3.06	4156	4	6	212	1918	2	0.667	24	69	8	6	6	3
2	Jon Gillies	Spiders (Har)	9	1	7	1	0.831	5.48	460	0	0	42	248	0	0.000	0	8	37	0	0	0
3	Anton Khudobin	Hartford	8	0	4	0	0.859	4.22	341	0	0	24	170	1	0.000	0	5	37	0	0	0
Stats d'équipe Total ou en Moyenne			88	32	43	7	0.881	3.37	4957	4	6	278	2336	3	0.667	24	82	82	6	6	3

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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
Anton Khudobin	Hartford	G	30	1986-05-07	No	195 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	1,600,000$