Ligue de hockey Simulée Ste-Flanelle

Quebec
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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	Mason Raymond		X	X		100.00	51	35	89	69	55	59	41	49	35	42	56	54	48	66	57	0	50	54	0
2	Matt Fraser		X			100.00	62	43	85	69	71	48	42	46	40	39	52	55	40	42	39	0	50	52	0
3	Bracken Kearns	X				100.00	50	35	67	71	69	59	35	42	67	48	35	64	48	42	39	0	50	51	0
4	Mike Angelidis		X			100.00	51	43	56	65	74	49	33	37	35	33	40	59	47	41	38	0	50	48	0
5	Alex Friesen	X	X			100.00	52	35	94	73	57	49	33	33	35	33	33	57	47	35	32	0	50	46	0
6	Danny Kristo (R)			X		100.00	43	45	45	45	60	42	42	43	45	43	43	45	44	32	30	0	50	44	0
7	Maksim Mayorov		X	X		100.00	31	89	31	46	69	31	41	32	35	32	32	53	46	41	38	0	50	41	0
8	Nikita Filatov		X	X		100.00	32	85	35	49	62	31	42	32	35	32	32	46	46	42	38	0	50	41	0
9	Shane Eiserman (R)	X	X			100.00	38	40	40	40	69	37	37	38	40	38	38	40	39	32	30	0	50	41	0
10	Mike Halmo		X	X		100.00	43	83	37	42	66	31	43	32	35	32	32	48	46	35	32	0	50	40	0
11	Branden Troock (R)			X		100.00	35	37	37	37	67	35	35	35	37	35	35	37	36	32	30	0	50	39	0
12	Carter Bancks		X			100.00	31	87	33	33	55	31	46	32	35	32	32	33	46	35	32	0	50	36	0
13	Tim Erixon				X	100.00	50	35	84	61	66	55	42	40	35	39	41	63	46	43	38	0	50	53	0
14	Jakub Nakladal				X	100.00	57	35	90	60	70	57	36	42	35	39	45	59	48	37	34	0	50	52	0
15	Matt Taormina				X	100.00	50	35	94	71	55	47	33	30	35	29	31	63	47	43	39	0	50	50	0
16	Raman Hrabarenka				X	100.00	47	35	93	62	70	42	31	32	35	32	32	66	46	35	32	0	50	50	0
17	Jordan Subban (R)				X	100.00	38	40	40	40	51	37	37	38	40	38	38	40	39	32	30	0	50	40	0
18	Kevin Marshall				X	100.00	40	90	30	33	62	31	33	32	35	32	32	33	46	35	32	0	50	37	0
Rayé
1	Nikita Nikitin				X	100.00	54	35	82	59	73	58	37	45	35	44	45	71	47	50	43	0	50	56	0

	MOYENNE D'ÉQUIPE					100.00	45	51	61	54	64	44	38	37	38	36	38	52	45	39	36	0	50	46

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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	Jack Campbell (R)	100.00	53	45	45	73	54	45	45	54	45	65	45	37	34	0	50	51	0
2	David Rittich (R)	100.00	25	45	45	76	35	45	45	35	45	65	45	35	32	0	50	45	0
Rayé
1	Nathan Lieuwen	100.00	61	49	46	69	52	43	46	42	39	39	38	35	32	0	50	47	0

	MOYENNE D'ÉQUIPE	100.00	46	46	45	73	47	44	45	44	43	56	43	36	33	0	50	48

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Kevin Dineen	51	76	72	56	83	85	70	CAN	54	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	Mason Raymond	Cabaret Lady Mary Ann (Que)	LW/RW	82	58	54	112	0	41	5	108	220	429	35	90	13.52%	36	1808	22.05	14	21	35	93	313	2	1	3	5	251	6	7	49.18%	122	0	3	1.24	2	11	0	0	0	15	7	0
2	Bracken Kearns	Cabaret Lady Mary Ann (Que)	C	82	23	56	79	5	32	0	77	241	225	11	45	10.22%	25	1429	17.43	6	19	25	59	265	0	1	1	2	96	1	1	64.17%	1630	0	0	1.11	0	0	0	0	0	6	3	5
3	Matt Fraser	Cabaret Lady Mary Ann (Que)	LW	82	44	30	74	5	48	0	86	172	340	20	54	12.94%	15	1417	17.28	12	10	22	78	259	1	0	1	3	94	8	1	41.46%	205	0	1	1.04	2	9	0	0	0	5	9	6
4	Jakub Nakladal	Cabaret Lady Mary Ann (Que)	D	82	22	46	68	-11	60	0	133	118	181	7	36	12.15%	135	1847	22.53	10	17	27	82	279	0	1	1	1	226	3	1	0.00%	0	0	1	0.74	0	0	0	0	0	3	4	3
5	Matt Taormina	Cabaret Lady Mary Ann (Que)	D	82	15	41	56	-9	53	5	64	103	139	19	19	10.79%	112	1769	21.58	9	9	18	68	265	1	1	2	1	212	0	1	0.00%	0	1	0	0.63	0	0	0	1	0	5	0	2
6	Raman Hrabarenka	Cabaret Lady Mary Ann (Que)	D	82	10	42	52	0	38	0	57	109	136	13	31	7.35%	157	1622	19.79	5	13	18	82	251	0	0	0	0	215	0	0	0.00%	0	0	0	0.64	0	0	0	0	0	0	3	3
7	Danny Kristo	Cabaret Lady Mary Ann (Que)	RW	82	18	24	42	-9	60	10	184	41	142	7	39	12.68%	13	1378	16.81	6	7	13	39	280	0	0	0	0	0	2	1	44.44%	99	0	0	0.61	0	0	0	1	1	0	6	4
8	Alex Friesen	Cabaret Lady Mary Ann (Que)	C/LW	82	22	16	38	-31	46	0	104	267	242	21	55	9.09%	47	1309	15.97	0	0	0	0	3	0	0	0	0	1	1	2	40.65%	1171	0	0	0.58	0	0	0	0	0	1	2	2
9	Shane Eiserman	Cabaret Lady Mary Ann (Que)	C/LW	82	3	29	32	-14	78	0	112	45	44	3	8	6.82%	73	1214	14.81	0	0	0	0	0	0	0	0	0	0	1	0	54.55%	55	0	0	0.53	0	0	0	0	0	1	1	2
10	Jordan Subban	Cabaret Lady Mary Ann (Que)	D	82	3	12	15	-4	73	5	135	23	25	0	3	12.00%	49	1596	19.47	1	4	5	8	247	0	1	1	0	197	1	1	100.00%	2	0	0	0.19	0	0	0	0	1	0	0	2
11	Mike Halmo	Cabaret Lady Mary Ann (Que)	LW/RW	82	7	7	14	0	91	25	118	17	39	6	8	17.95%	5	1274	15.54	3	2	5	12	245	0	0	0	0	0	0	0	35.05%	97	0	0	0.22	0	0	1	1	3	0	1	1
12	Kevin Marshall	Cabaret Lady Mary Ann (Que)	D	82	0	3	3	-14	143	35	154	8	10	1	2	0.00%	35	1369	16.70	0	0	0	5	121	0	0	0	0	114	0	0	0.00%	0	0	0	0.04	0	0	2	1	4	0	0	0
13	Philip Varone	Quebec	C/LW	2	1	2	3	-1	0	0	0	5	9	0	0	11.11%	1	44	22.30	1	1	2	4	7	0	0	0	0	4	0	0	59.57%	47	0	0	1.35	1	1	0	0	0	0	0	0
14	Mike Angelidis	Cabaret Lady Mary Ann (Que)	LW	4	1	0	1	-3	2	0	3	7	7	0	0	14.29%	2	70	17.70	0	0	0	1	5	0	0	0	0	4	0	0	60.00%	10	0	0	0.28	0	0	0	0	0	0	0	0
15	Branden Troock	Cabaret Lady Mary Ann (Que)	RW	4	0	0	0	-2	0	0	3	5	1	0	0	0.00%	0	67	16.95	0	0	0	0	2	0	0	0	0	7	0	0	50.00%	8	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				994	227	362	589	-88	765	85	1338	1381	1969	143	390	11.53%	705	18221	18.33	67	103	170	531	2549	4	5	9	12	1426	23	15	52.67%	3446	1	5	0.65	5	21	3	4	9	36	36	30

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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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jack Campbell	Cabaret Lady Mary Ann (Que)	82	36	37	7	0.879	3.69	4637	2	0	285	2351	0	6	2	0.710	31	82	82	3	2	1
Stats d'équipe Total ou en Moyenne			82	36	37	7	0.879	3.69	4637	2	0	285	2351	0	6	2	0.710	31	82	82	3	2	1

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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
Alex Friesen	Cabaret Lady Mary Ann (Que)	C/LW	25	1991-01-30	No	186 Lbs	5 ft9	No	No	No	4	Avec Restriction	Pro & Farm	450,000$