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	Andrew Ladd		X			98.00	64	56	81	73	70	75	93	67	40	60	74	64	44	70	64	0	50	67	0
2	Conor Sheary		X	X		100.00	49	35	86	91	51	66	63	72	36	71	73	63	45	42	43	0	50	66	0
3	Mark Letestu	X		X		96.00	54	43	89	78	66	67	93	60	84	57	63	70	63	57	49	0	50	64	0
4	Carl Soderberg	X	X			96.00	54	35	87	68	73	71	94	62	84	60	63	66	48	45	42	0	50	63	0
5	Nick Bjugstad	X		X		100.00	64	50	83	66	77	68	74	63	85	60	66	58	44	44	40	0	50	62	0
6	Bryan Rust		X	X		100.00	60	35	90	77	63	65	59	61	47	56	66	65	48	42	43	0	50	61	0
7	Ryan Dzingel		X	X		100.00	55	56	85	77	59	65	71	60	41	57	63	62	45	39	36	0	50	60	0
8	Mark Arcobello	X		X		100.00	51	35	89	75	50	62	51	57	83	51	63	64	44	41	38	0	50	58	0
9	Frank Vatrano		X	X		100.00	59	35	86	81	68	63	46	58	35	50	65	57	45	38	35	0	50	58	0
10	Cory Conacher		X	X		100.00	54	35	86	77	53	54	37	58	56	61	54	59	48	46	39	0	50	57	0
11	Miles Wood (R)		X	X		100.00	59	61	64	72	67	63	49	56	35	51	60	56	48	37	34	0	50	56	0
12	Frederik Gauthier (R)	X				100.00	50	43	73	62	85	56	37	47	66	42	52	68	48	37	34	0	50	54	0
13	David Savard (C)				X	98.00	78	43	80	66	77	82	88	60	35	62	57	86	48	48	44	0	50	70	0
14	Dmitry Kulikov				X	99.00	76	50	81	63	67	79	70	50	35	51	49	80	48	56	47	0	50	65	0
15	Kevin Bieksa				X	100.00	82	66	74	68	65	73	91	48	35	48	47	71	45	71	62	0	50	65	0
16	Mark Pysyk				X	95.82	63	35	89	67	65	68	71	48	35	52	43	85	48	45	40	0	50	63	0
17	Tyler Wotherspoon				X	100.00	56	35	95	63	68	61	36	38	35	43	32	73	56	42	39	0	50	56	0
18	Patrick Sieloff				X	100.00	51	35	54	63	67	51	33	33	35	29	37	79	47	35	32	0	50	53	0
Rayé
1	Erik Haula	X	X			75.31	57	35	85	74	65	65	76	61	86	56	66	72	48	49	40	0	50	63	0
2	Brandon Pirri	X	X	X		51.60	54	43	84	74	58	68	76	62	81	59	65	57	58	47	44	0	50	61	0
3	Tim Schaller	X	X	X		93.01	61	43	85	68	76	62	58	52	72	46	58	68	48	38	35	0	50	58	0
4	Ryan Ellis				X	91.32	62	50	84	79	54	80	80	63	35	61	64	86	64	51	46	0	50	69	0
5	Patrik Nemeth				X	90.91	67	35	86	60	71	66	49	42	35	43	41	72	48	44	39	0	50	58	0
6	Michal Jordan				X	50.63	54	35	86	61	63	54	41	38	35	34	41	74	47	41	36	0	50	54	0

	MOYENNE D'ÉQUIPE					93.00	60	43	83	71	66	66	64	55	52	53	57	69	49	46	42	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	Cam Ward	97.00	84	94	97	67	80	76	80	76	72	75	80	67	61	0	50	75	0
2	Jimmy Howard	100.00	74	50	88	82	73	71	70	72	72	83	87	64	57	0	50	71	0
Rayé

	MOYENNE D'ÉQUIPE	98.50	79	72	93	75	77	74	75	74	72	79	84	66	59	0	50	73

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Sullivan	99	79	82	88	86	95	88	USA	49	3	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	Conor Sheary	Winnipeg	LW/RW	72	26	39	65	-4	26	0	55	117	271	25	61	9.59%	4	1293	17.96	9	14	23	72	299	0	0	0	0	8	3	3	30.37%	135	2	1.01	1	5	0	0	0	7	3	2
2	Erik Haula	Winnipeg	C/LW	77	27	32	59	10	42	0	115	166	177	8	22	15.25%	14	1553	20.17	12	11	23	47	308	1	0	1	4	252	2	1	51.46%	1920	0	0.76	3	6	0	0	0	2	5	2
3	Carl Soderberg	Winnipeg	C/LW	82	20	37	57	6	37	5	62	93	140	14	39	14.29%	11	1559	19.02	4	15	19	34	322	1	0	1	6	168	9	2	52.79%	430	0	0.73	1	4	0	0	0	2	6	6
4	David Savard	Winnipeg	D	82	12	44	56	-7	109	5	173	117	170	8	27	7.06%	103	2029	24.76	7	13	20	107	354	0	2	2	1	344	2	1	0.00%	0	0	0.55	0	0	0	0	0	2	1	3
5	Andrew Ladd	Winnipeg	LW	81	21	27	48	-5	82	20	137	53	194	13	49	10.82%	8	1432	17.68	9	8	17	63	348	0	0	0	2	79	6	1	39.29%	112	0	0.67	0	3	1	1	2	4	2	2
6	Ryan Ellis	Winnipeg	D	63	20	27	47	-8	50	20	49	112	152	3	1	13.16%	97	1506	23.92	8	9	17	94	261	1	0	1	5	285	5	0	0.00%	0	0	0.62	0	1	0	1	3	2	6	3
7	Mark Letestu	Winnipeg	C/RW	82	19	21	40	2	28	0	58	142	178	10	26	10.67%	18	1516	18.50	2	5	7	42	231	0	1	1	10	358	1	1	50.05%	993	0	0.53	0	1	0	0	0	1	1	1
8	Nick Bjugstad	Winnipeg	C/RW	81	14	23	37	0	80	10	143	106	111	8	22	12.61%	4	1247	15.41	4	9	13	42	308	0	0	0	0	4	1	2	49.86%	1388	0	0.59	0	1	0	0	2	1	1	3
9	Mark Pysyk	Winnipeg	D	76	8	25	33	-5	40	0	42	89	89	5	13	8.99%	91	1605	21.12	6	8	14	52	281	0	1	1	1	289	2	1	0.00%	0	0	0.41	0	0	0	0	0	1	2	3
10	Kevin Bieksa	Winnipeg	D	81	5	23	28	-1	213	45	200	52	55	4	8	9.09%	63	1346	16.62	2	3	5	22	129	0	0	0	2	110	1	0	0.00%	0	0	0.42	0	0	3	1	5	1	0	2
11	Bryan Rust	Winnipeg	LW/RW	79	14	14	28	3	41	5	51	72	117	10	24	11.97%	9	896	11.35	0	1	1	2	13	0	1	1	5	106	3	1	26.23%	61	0	0.62	0	0	0	0	0	1	1	3
12	Dmitry Kulikov	Winnipeg	D	69	8	19	27	-10	93	15	122	57	93	8	23	8.60%	98	1524	22.09	6	6	12	56	263	0	1	1	2	262	0	1	0.00%	1	0	0.35	0	0	0	0	3	1	2	0
13	Brandon Pirri	Winnipeg	C/LW/RW	68	7	14	21	-1	27	5	46	91	80	1	7	8.75%	10	855	12.59	0	1	1	1	54	0	0	0	1	118	1	1	47.87%	821	0	0.49	0	0	0	1	0	2	1	0
14	Ryan Dzingel	Winnipeg	LW/RW	73	4	10	14	-9	21	5	36	52	78	6	13	5.13%	5	674	9.24	0	2	2	3	18	0	0	0	0	0	0	0	26.00%	50	0	0.42	0	0	0	0	1	0	2	1
15	Miles Wood	Winnipeg	LW/RW	78	6	3	9	-6	60	20	71	17	46	3	5	13.04%	2	608	7.80	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	27	0	0.30	0	0	2	1	1	0	0	0
16	Cory Conacher	Winnipeg	LW/RW	49	2	5	7	-1	6	0	11	25	56	2	19	3.57%	1	427	8.73	0	1	1	2	17	0	0	0	0	15	0	0	36.84%	19	0	0.33	0	0	0	0	0	0	0	0
17	Mark Arcobello	Winnipeg	C/RW	28	6	1	7	-3	12	0	6	41	28	1	10	21.43%	2	281	10.07	0	0	0	1	11	0	0	0	0	14	1	0	49.64%	278	0	0.50	0	0	0	0	0	0	0	1
18	Tyler Wotherspoon	Winnipeg	D	28	3	4	7	11	4	0	11	15	12	3	3	25.00%	20	443	15.84	1	0	1	3	28	0	0	0	1	42	0	0	0.00%	0	0	0.32	0	0	0	0	0	1	0	0
19	Frank Vatrano	Winnipeg	LW/RW	33	3	3	6	-4	6	0	24	27	28	7	10	10.71%	0	302	9.18	0	0	0	0	5	0	0	0	0	0	0	0	38.46%	26	0	0.40	0	0	0	0	0	0	0	0
20	Tim Schaller	Winnipeg	C/LW/RW	51	2	4	6	-3	14	0	33	44	33	0	5	6.06%	6	507	9.95	0	0	0	0	2	1	0	1	5	118	0	1	44.27%	506	0	0.24	0	0	0	0	0	0	0	0
21	Patrick Sieloff	Winnipeg	D	18	3	3	6	9	39	5	29	8	8	2	2	37.50%	18	239	13.28	0	0	0	0	3	0	0	0	0	4	1	0	0.00%	0	0	0.50	0	0	0	0	0	1	0	1
22	Frederik Gauthier	Winnipeg	C	14	1	1	2	3	4	0	4	18	13	1	5	7.69%	2	125	8.99	0	0	0	0	0	0	0	0	0	10	0	1	46.21%	145	0	0.32	0	0	0	0	0	0	1	0
23	Keaton Ellerby	IceCaps (Win)	D	5	0	0	0	2	2	0	2	3	0	0	0	0.00%	4	79	15.80	0	0	0	0	3	0	0	0	0	7	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
24	Michael Sgarbossa	IceCaps (Win)	C/LW	1	0	0	0	-1	0	0	0	0	1	0	0	0.00%	0	8	8.07	0	0	0	0	0	0	0	0	0	0	0	0	71.43%	7	0	0.00	0	0	0	0	0	0	0	0
25	Michal Jordan	Winnipeg	D	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	1	1.45	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
26	Patrik Nemeth	Winnipeg	D	4	0	0	0	-3	0	0	6	1	0	0	0	0.00%	4	48	12.04	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1376	231	379	610	-25	1036	160	1486	1518	2130	142	394	10.85%	595	22115	16.07	70	106	176	643	3270	4	6	10	45	2606	38	17	48.72%	6919	2	0.55	5	21	6	5	17	29	34	33

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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	S3
1	Cam Ward	Winnipeg	75	33	31	8	0.891	2.95	4249	8	2	209	1920	3	1	0.500	20	73	8	6	2
2	Jimmy Howard	Winnipeg	19	3	9	1	0.885	3.35	861	2	0	48	419	0	1	1.000	3	12	67	0	0
Stats d'équipe Total ou en Moyenne			94	36	40	9	0.890	3.02	5111	10	2	257	2339	3	2	0.565	23	85	75	6	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 Ladd	Winnipeg	LW	30	1985-12-12	No	200 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	4,500,000$