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	Thomas Vanek (A)		X	X		96.00	56	35	87	79	74	71	76	73	35	74	71	55	80	71	61	0	50	68	0
2	Patrik Elias (A)	X	X			98.00	46	43	85	73	63	69	49	67	81	70	63	62	56	97	91	0	50	66	0
3	Colin Wilson	X	X			98.00	59	43	88	74	76	70	86	65	54	67	63	62	45	58	50	0	50	65	0
4	Chris Stewart		X	X		100.00	63	67	68	70	86	63	91	59	35	52	65	56	61	61	52	0	50	62	0
5	Christian Dvorak (R)	X	X			100.00	54	35	87	79	59	58	55	59	80	55	62	70	45	35	32	0	50	60	0
6	Ryan White	X		X		100.00	73	66	66	73	69	62	78	55	82	48	61	60	45	53	48	0	50	60	0
7	Sebastian Aho (R)		X			100.00	53	35	87	85	51	59	57	64	50	59	68	59	61	35	32	0	50	60	0
8	Nathan Gerbe		X	X		100.00	52	35	85	72	51	63	67	52	46	49	55	68	51	54	47	0	50	58	0
9	Greg McKegg (R)	X	X			100.00	57	50	84	70	63	61	48	52	77	50	54	66	48	43	38	0	50	56	0
10	David Clarkson			X		100.00	64	50	64	68	71	57	50	49	35	43	55	55	44	64	55	0	50	55	0
11	Ondrej Kase (R)		X	X		100.00	52	35	86	79	55	58	48	52	35	52	52	56	64	36	33	0	50	55	0
12	Brendan Smith				X	98.00	73	56	69	63	69	74	71	48	35	49	47	78	48	51	46	0	50	63	0
13	James Wisniewski				X	98.00	63	43	79	61	66	51	44	61	35	65	55	65	47	63	55	0	50	59	0
14	Justin Falk				X	99.00	69	43	81	61	76	64	61	43	50	47	39	67	48	52	47	0	50	59	0
15	Jakob Chychrun (R)				X	100.00	67	43	79	75	66	54	49	49	35	47	51	69	45	35	32	0	50	58	0
16	Ladislav Smid				X	100.00	66	43	85	59	70	52	39	36	35	35	37	63	47	60	50	0	50	54	0
17	Gustav Forsling (R)				X	100.00	49	35	92	72	58	58	42	43	35	40	45	61	48	35	32	0	50	53	0
Rayé
1	Jeff Skinner (C)		X			94.00	55	35	85	83	68	76	94	73	35	68	78	63	44	53	44	0	50	69	0
2	Pavel Buchnevich (R)		X	X		90.58	50	43	87	73	66	61	44	60	35	58	62	55	48	35	33	0	50	57	0
3	Shawn Thornton			X		100.00	58	65	64	67	75	56	57	46	37	43	48	55	48	77	73	0	50	55	0
4	Jim O'Brien	X				100.00	53	35	82	66	68	51	33	33	60	33	33	63	47	42	37	0	50	48	0
5	Colby Robak				X	100.00	48	35	86	59	64	54	33	34	35	37	32	68	46	42	38	0	50	52	0
6	Marc-Andre Bourdon				X	100.00	45	83	37	48	67	31	41	32	35	32	32	54	46	35	33	0	50	45	0

	MOYENNE D'ÉQUIPE					98.74	58	46	79	70	67	60	57	52	47	51	53	62	51	52	46	0	50	58

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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	Petr Mrazek	98.00	78	72	91	67	77	75	80	76	69	78	94	44	41	0	50	70	0
2	Michael Leighton	100.00	36	45	70	68	35	46	47	35	45	95	70	54	50	0	50	51	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	57	59	81	68	56	61	64	56	57	87	82	49	46	0	50	61

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Randy Carlyle	71	71	70	76	99	99	81	CAN	61	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	Thomas Vanek	Dallas	LW/RW	74	28	43	71	5	38	0	87	83	196	18	31	14.29%	9	1423	19.24	8	13	21	59	303	1	1	2	9	170	0	0	41.83%	153	0	1.00	0	0	0	0	0	3	3	3
2	Jeff Skinner	Dallas	LW	65	34	34	68	6	32	0	69	110	247	13	41	13.77%	14	1340	20.62	6	11	17	52	244	1	0	1	14	224	5	0	32.76%	586	2	1.01	0	0	0	0	0	7	3	3
3	Patrik Elias	Dallas	C/LW	66	22	38	60	9	6	0	21	114	153	14	31	14.38%	9	1069	16.20	6	11	17	44	234	0	0	0	3	85	1	0	53.77%	1233	0	1.12	0	1	0	0	0	3	3	1
4	Sebastian Aho	Dallas	LW	65	18	26	44	4	16	0	43	104	141	9	35	12.77%	10	907	13.96	7	8	15	31	135	1	0	1	2	25	0	0	36.68%	259	0	0.97	0	0	0	0	0	1	2	1
5	Ryan White	Dallas	C/RW	82	18	22	40	-11	110	30	132	119	136	13	21	13.24%	3	1111	13.55	2	2	4	14	99	0	2	2	2	134	2	0	52.01%	944	0	0.72	1	1	2	2	2	2	1	1
6	Pavel Buchnevich	Dallas	LW/RW	81	15	25	40	-25	14	0	26	61	113	5	19	13.27%	5	1094	13.51	3	6	9	13	126	1	0	1	2	94	2	0	30.18%	169	0	0.73	0	0	0	0	0	2	2	0
7	Jakob Chychrun	Dallas	D	70	11	29	40	-8	79	5	116	60	90	7	6	12.22%	99	1418	20.27	3	10	13	53	241	1	0	1	1	251	2	1	0.00%	0	0	0.56	0	0	0	0	1	1	2	1
8	Chris Stewart	Dallas	LW/RW	82	17	21	38	-6	91	15	118	55	138	6	23	12.32%	5	1301	15.87	1	8	9	25	253	1	0	1	4	105	0	0	28.89%	135	0	0.58	0	1	1	0	2	0	2	2
9	Brendan Smith	Dallas	D	77	8	28	36	-10	209	15	218	86	89	4	16	8.99%	138	1749	22.73	5	6	11	49	292	0	1	1	1	287	1	2	0.00%	0	0	0.41	0	0	2	0	1	3	0	0
10	Christian Dvorak	Dallas	C/LW	79	15	19	34	5	26	0	46	125	109	10	19	13.76%	18	984	12.47	2	1	3	10	62	1	0	1	3	170	2	0	49.11%	1124	0	0.69	0	0	0	0	0	2	2	2
11	Colin Wilson	Dallas	C/LW	82	12	20	32	3	32	0	73	84	141	14	35	8.51%	19	1236	15.08	3	0	3	17	110	0	1	1	10	263	2	2	42.80%	542	0	0.52	0	0	0	0	0	0	2	2
12	Colby Robak	Dallas	D	61	4	13	17	-17	36	0	47	39	25	2	8	16.00%	63	1061	17.39	3	2	5	11	94	0	0	0	0	149	1	1	0.00%	6	0	0.32	0	0	0	0	0	0	1	0
13	Justin Falk	Dallas	D	79	4	9	13	-15	94	10	116	47	54	3	8	7.41%	123	1732	21.93	1	0	1	22	281	0	2	2	1	319	0	0	0.00%	0	0	0.15	0	0	0	1	1	0	0	0
14	Nathan Gerbe	Dallas	LW/RW	55	5	8	13	-13	4	0	18	69	71	9	16	7.04%	11	636	11.57	0	0	0	6	31	1	1	2	4	107	1	0	25.00%	68	0	0.41	0	0	0	0	0	0	0	0
15	Gustav Forsling	Dallas	D	57	5	8	13	-14	40	0	48	19	22	1	13	22.73%	44	991	17.39	1	1	2	5	89	0	0	0	0	132	0	0	0.00%	0	0	0.26	0	0	0	0	0	0	2	0
16	Ondrej Kase	Dallas	LW/RW	60	5	8	13	-24	8	0	17	55	47	1	9	10.64%	9	688	11.48	0	1	1	3	20	0	0	0	1	84	0	0	21.10%	109	0	0.38	0	0	0	0	0	0	0	1
17	James Wisniewski	Dallas	D	20	1	9	10	-5	24	0	16	14	9	2	9	11.11%	30	341	17.06	1	1	2	3	30	0	0	0	0	39	1	0	0.00%	0	0	0.59	0	0	0	0	0	0	0	0
18	Greg McKegg	Dallas	C/LW	72	2	8	10	-23	21	5	27	106	68	8	9	2.94%	18	744	10.34	0	0	0	3	4	0	0	0	3	157	0	0	47.72%	725	0	0.27	0	0	0	0	1	0	0	1
19	David Clarkson	Dallas	RW	49	3	2	5	-25	39	5	42	24	26	1	2	11.54%	7	448	9.15	0	0	0	1	14	0	0	0	0	13	1	0	38.24%	34	0	0.22	0	0	0	0	1	0	0	0
20	Ahtti Oksanen	Stars (Dal)	D	22	0	3	3	3	30	0	24	5	2	0	0	0.00%	7	369	16.77	0	1	1	0	43	0	0	0	0	50	0	0	0.00%	0	0	0.16	0	0	0	0	0	0	0	0
21	Ladislav Smid	Dallas	D	27	0	3	3	-6	34	0	35	10	6	1	0	0.00%	32	530	19.65	0	0	0	3	85	0	1	1	0	83	0	0	0.00%	0	0	0.11	0	0	0	0	0	0	0	0
22	Jim O'Brien	Dallas	C	35	1	2	3	-18	4	0	18	31	14	0	0	7.14%	6	337	9.63	0	0	0	0	4	0	0	0	2	85	0	0	43.64%	165	0	0.18	0	0	0	0	0	0	0	0
23	Marc-Andre Bourdon	Dallas	D	27	0	2	2	-11	44	10	40	4	3	0	5	0.00%	19	447	16.57	0	0	0	1	43	0	0	0	0	67	0	0	0.00%	0	0	0.09	0	0	0	0	2	0	0	0
24	Shawn Thornton	Dallas	RW	53	2	0	2	-13	40	20	34	11	17	0	1	11.76%	2	369	6.97	0	0	0	0	0	0	0	0	0	2	0	0	33.33%	21	0	0.11	0	0	1	2	1	0	0	1
25	Andrew Nielsen	Stars (Dal)	D	6	0	1	1	1	8	0	13	1	3	0	0	0.00%	2	101	16.85	0	0	0	1	7	0	0	0	0	11	0	0	0.00%	0	0	0.20	0	0	0	0	0	0	0	0
26	Brandon Bollig	Stars (Dal)	LW/RW	2	0	0	0	0	8	0	2	0	1	0	0	0.00%	1	17	8.70	0	0	0	0	0	0	0	0	0	3	0	0	50.00%	10	0	0.00	0	0	0	0	0	0	0	0
27	Colby Cohen	Stars (Dal)	D	2	0	0	0	-1	4	0	6	0	0	0	0	0.00%	0	30	15.28	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
28	Brandon Hickey	Stars (Dal)	D	9	0	0	0	-2	12	0	15	3	1	0	0	0.00%	5	140	15.56	0	0	0	0	4	0	0	0	0	8	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
29	Daniel Audette	Stars (Dal)	C	12	0	0	0	1	0	0	2	7	0	0	0	0.00%	0	164	13.71	0	0	0	0	26	0	0	0	0	39	0	0	26.92%	78	0	0.00	0	0	0	0	0	0	0	0
30	Max Sauve	Stars (Dal)	C/LW	4	0	0	0	1	0	0	4	1	0	0	0	0.00%	0	34	8.74	0	0	0	0	1	0	0	0	0	2	0	0	50.00%	6	0	0.00	0	0	0	0	0	0	0	0
31	Philippe Cornet	Stars (Dal)	LW	4	0	0	0	0	2	0	1	0	0	0	0	0.00%	0	42	10.62	0	0	0	0	2	0	0	0	0	1	0	0	40.00%	5	0	0.00	0	0	0	0	0	0	0	0
32	Rob Klinkhammer	Stars (Dal)	LW	6	0	0	0	0	0	0	1	2	3	0	0	0.00%	2	45	7.59	0	0	0	0	1	0	0	0	0	7	0	0	33.33%	3	0	0.00	0	0	0	0	0	0	0	0
33	Ryan Donato	Stars (Dal)	C	16	0	0	0	-10	8	0	15	15	2	0	0	0.00%	1	176	11.04	0	0	0	1	14	0	0	0	0	1	0	0	34.76%	187	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1501	230	381	611	-219	1113	115	1490	1464	1927	141	357	11.94%	711	23087	15.38	52	82	134	427	2907	8	9	17	62	3187	21	6	45.02%	6562	2	0.53	1	3	6	5	12	24	25	19

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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	PS %	PSA	ST	BG	S2	S3
1	Petr Mrazek	Dallas	66	20	39	1	0.873	4.17	3327	6	231	1821	3	0	1.000	4	58	24	1	2
2	Michael Leighton	Dallas	37	2	17	1	0.847	4.91	1381	0	113	737	3	2	0.000	0	22	51	0	1
3	Andrew Hammond	Stars (Dal)	5	0	1	1	0.864	4.49	214	0	16	118	0	0	0.000	0	2	7	0	0
Stats d'équipe Total ou en Moyenne			108	22	57	3	0.865	4.39	4923	6	360	2676	6	2	1.000	4	82	82	1	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
Brendan Smith	Dallas	D	27	1989-02-08	No	211 Lbs	6 ft2	No	No	No	5	Avec Restriction	Pro & Farm	2,000,000$