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	TA	SP
1	John Tavares (C)	X				100.00	53	35	83	82	73	81	93	81	85	81	81	63	58	58	48	0	50	73		0
2	Jakub Voracek		X	X		100.00	55	43	80	78	74	78	94	75	35	80	70	58	65	62	51	0	50	69		0
3	Evander Kane		X			100.00	73	61	61	77	73	80	79	70	60	65	75	70	39	56	46	0	50	68		0
4	Ryan Nugent-Hopkins	X				99.00	56	43	86	78	67	77	92	71	79	72	70	72	47	51	44	0	50	68		0
5	Wayne Simmonds			X		100.00	71	66	61	78	59	78	95	73	45	68	77	63	47	62	51	0	50	68		0
6	Andrew Cogliano		X	X		99.00	60	43	86	81	56	71	95	64	35	61	66	72	45	66	56	0	50	66		0
7	Mike Ribeiro (A)	X				100.00	51	35	83	79	55	75	70	69	79	77	61	55	56	80	70	0	50	66		0
8	Teuvo Teravainen	X	X	X		100.00	52	35	89	80	54	70	95	64	78	64	64	61	42	48	42	0	50	64		0
9	Jesper Fast			X		100.00	64	35	88	72	62	67	75	62	35	62	62	74	53	50	42	0	50	63		0
10	Johan Larsson	X	X			100.00	59	43	83	71	68	72	63	58	83	53	62	71	56	43	40	0	50	61		0
11	Nail Yakupov		X	X		100.00	61	35	85	75	66	66	65	62	35	61	62	58	42	48	40	0	50	61		0
12	Emerson Etem		X	X		100.00	61	43	88	64	73	60	41	53	35	48	58	62	56	49	43	0	50	56	X	0
13	Marc-Edouard Vlasic (A)				X	100.00	59	56	82	71	67	80	91	61	35	65	57	83	48	74	64	0	50	70		0
14	Tyson Barrie				X	100.00	56	43	87	80	60	82	92	66	35	73	59	69	56	47	43	0	50	67		0
15	Dmitry Orlov				X	99.00	66	50	82	75	69	73	80	56	35	61	51	75	48	47	41	0	50	65		0
16	Connor Murphy				X	100.00	81	56	81	65	70	73	90	48	35	48	47	75	48	47	38	0	50	64		0
17	Ben Chiarot				X	100.00	73	43	81	64	73	66	62	46	35	48	43	75	48	45	39	0	50	61	X	0
18	Chris Wideman				X	100.00	55	50	81	75	54	62	67	47	35	47	47	69	45	39	36	0	50	58	X	0
Rayé
1	Fedor Tyutin				X	49.64	73	43	82	65	74	74	82	49	35	52	45	75	48	70	60	0	50	65		0

	MOYENNE D'ÉQUIPE					97.16	62	45	82	74	66	73	80	62	49	62	61	68	50	55	47	0	50	65

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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	TA	SP
1	Tuukka Rask	98.00	91	97	94	64	89	85	84	86	85	79	93	60	55	0	50	79		0
2	Curtis McElhinney	100.00	70	45	83	75	72	70	69	75	70	87	70	53	49	0	50	68	X	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	81	71	89	70	81	78	77	81	78	83	82	57	52	0	50	74

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Lindy Ruff	77	88	90	80	99	99	89	CAN	57	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	John Tavares	Philadelphie	C	74	40	42	82	3	32	0	57	150	266	19	39	15.04%	8	1381	18.66	11	18	29	73	331	0	0	0	1	46	4	4	51.58%	1768	0	2	1.19	1	3	0	0	0	7	7	4
2	Jakub Voracek	Philadelphie	LW/RW	82	23	47	70	8	28	0	91	94	219	8	44	10.50%	7	1473	17.97	8	16	24	60	370	0	0	0	1	16	5	1	29.85%	134	0	0	0.95	0	4	0	0	0	6	3	3
3	Evander Kane	Philadelphie	LW	74	24	30	54	-19	125	15	204	106	228	18	37	10.53%	18	1260	17.03	6	13	19	65	273	0	0	0	2	118	1	1	44.51%	319	0	0	0.86	0	0	1	1	1	2	1	2
4	Ryan Nugent-Hopkins	Philadelphie	C	82	23	31	54	0	37	5	78	158	204	10	35	11.27%	21	1438	17.54	7	10	17	51	289	0	0	0	4	156	2	0	48.63%	1820	0	0	0.75	0	0	0	0	1	3	3	1
5	Andrew Cogliano	Philadelphie	LW/RW	82	21	30	51	21	50	0	75	96	172	10	34	12.21%	14	1351	16.48	3	5	8	21	119	0	1	1	12	252	1	1	28.04%	107	0	1	0.75	0	0	0	0	0	5	2	3
6	Tyson Barrie	Philadelphie	D	71	4	45	49	1	71	15	62	79	86	15	6	4.65%	66	1553	21.88	2	14	16	54	329	0	1	1	0	138	0	0	0.00%	0	0	0	0.63	1	2	0	1	2	1	0	4
7	Wayne Simmonds	Philadelphie	RW	80	24	25	49	-4	132	10	204	90	206	9	46	11.65%	9	1326	16.58	4	9	13	43	339	0	0	0	0	2	4	2	37.66%	77	0	0	0.74	0	0	0	0	2	7	0	3
8	Dmitry Orlov	Philadelphie	D	82	10	35	45	-7	54	10	84	79	91	5	21	10.99%	113	1829	22.32	6	13	19	62	338	0	0	0	2	302	2	0	0.00%	0	0	0	0.49	0	0	0	0	1	2	1	4
9	Mike Ribeiro	Philadelphie	C	73	13	32	45	-4	11	5	26	134	130	8	21	10.00%	4	1166	15.97	1	11	12	29	271	0	0	0	0	0	1	1	53.38%	1347	0	1	0.77	0	3	0	0	1	3	1	2
10	Marc-Edouard Vlasic	Philadelphie	D	78	9	25	34	-3	86	30	112	115	114	8	16	7.89%	101	1808	23.18	7	4	11	72	279	0	0	0	1	318	2	0	0.00%	0	1	0	0.38	0	0	1	3	2	0	1	2
11	Nail Yakupov	Philadelphie	LW/RW	83	14	20	34	-3	38	0	72	54	130	3	13	10.77%	6	1032	12.44	0	6	6	20	197	0	0	0	0	2	2	0	28.99%	69	0	1	0.66	1	1	0	0	0	3	0	3
12	Jesper Fast	Philadelphie	RW	82	12	17	29	3	48	0	119	92	175	6	12	6.86%	15	1458	17.79	2	4	6	28	175	1	0	1	9	357	1	1	31.39%	137	0	0	0.40	0	2	0	0	0	1	1	3
13	Teuvo Teravainen	Philadelphie	C/LW/RW	79	12	15	27	6	28	0	41	77	125	8	15	9.60%	5	1155	14.63	2	4	6	26	254	0	0	0	0	55	0	1	50.00%	106	0	0	0.47	0	0	0	0	0	1	1	0
14	Connor Murphy	Philadelphie	D	81	5	20	25	5	166	30	180	46	55	1	7	9.09%	94	1605	19.82	2	4	6	20	239	0	0	0	0	276	0	1	0.00%	0	0	0	0.31	0	1	2	1	3	0	1	1
15	Johan Larsson	Philadelphie	C/LW	78	9	11	20	4	25	5	35	60	75	2	7	12.00%	11	688	8.82	0	0	0	0	5	0	0	0	3	114	0	0	51.22%	451	0	0	0.58	0	2	0	0	1	0	1	1
16	Ben Chiarot	Philadelphie	D	82	8	12	20	15	114	0	132	52	62	3	8	12.90%	76	1383	16.87	3	4	7	16	93	0	0	0	0	200	3	0	0.00%	0	0	0	0.29	0	1	0	0	0	0	3	2
17	Fedor Tyutin	Philadelphie	D	76	2	17	19	16	60	0	91	54	37	3	8	5.41%	66	1242	16.35	0	1	1	8	50	0	1	1	0	164	0	0	0.00%	0	0	0	0.31	0	0	0	0	0	0	1	0
18	Chris Wideman	Philadelphie	D	70	3	9	12	10	44	10	43	41	35	2	2	8.57%	49	1128	16.13	0	0	0	6	84	0	0	0	0	148	0	0	0.00%	0	0	0	0.21	0	0	0	0	2	0	0	0
19	Emerson Etem	Philadelphie	LW/RW	74	4	1	5	-5	22	0	40	22	41	0	4	9.76%	4	568	7.68	0	0	0	0	3	0	0	0	0	12	1	1	25.64%	39	0	0	0.18	1	3	0	0	0	1	0	1
20	Chris Porter	Phantoms (Phi)	C/LW/RW	12	1	1	2	0	6	0	6	4	7	0	0	14.29%	1	106	8.88	0	0	0	0	1	0	0	0	0	15	0	0	27.27%	55	0	0	0.38	0	0	0	0	0	0	0	1
21	Jyrki Jokipakka	Phantoms (Phi)	D	14	0	2	2	-2	12	0	17	7	6	0	0	0.00%	8	194	13.90	0	0	0	1	8	0	0	0	0	10	0	0	0.00%	0	0	0	0.21	0	0	0	0	0	0	0	0
22	Michael Mersch	Phantoms (Phi)	LW	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	6	6.87	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0.00	0	0	0	0	0	0	0	0
23	Oskar Sundqvist	Phantoms (Phi)	C	7	0	0	0	1	0	0	6	7	1	1	2	0.00%	2	80	11.49	0	0	0	0	0	0	0	0	0	17	0	0	52.63%	95	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1517	261	467	728	46	1189	135	1775	1617	2465	139	377	10.59%	698	25241	16.64	64	136	200	655	4057	1	3	4	35	2727	29	14	48.72%	6525	1	5	0.58	4	22	4	6	16	42	27	40

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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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Tuukka Rask	Philadelphie	72	36	26	9	0.899	2.64	4211	6	4	185	1839	2	1	0.737	19	68	14	7	3	3
2	Curtis McElhinney	Philadelphie	16	2	5	2	0.863	4.12	627	0	0	43	315	0	1	0.000	0	12	67	0	1	0
3	Philippe Desrosiers	Phantoms (Phi)	2	0	2	0	0.818	6.05	119	0	0	12	66	1	0	0.000	0	2	1	0	0	0
Stats d'équipe Total ou en Moyenne			90	38	33	11	0.892	2.90	4959	6	4	240	2220	3	2	0.737	19	82	82	7	4	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
Andrew Cogliano	Philadelphie	LW/RW	29	1987-06-14	No	184 Lbs	5 ft10	No	No	No	5	Sans Restriction	Pro & Farm	2,400,000$