Ligue de hockey Simulée Ste-Flanelle

Dallas
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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	Chris Neil			X		100.00	69	66	63	68	72	55	56	45	45	43	46	54	45	81	70	0	50	55	0
2	Rob Klinkhammer		X			100.00	63	35	84	64	75	54	43	46	42	40	51	63	54	46	42	0	50	53	0
3	Brandon Bollig		X	X		100.00	72	66	57	65	76	53	62	42	70	40	44	54	47	49	46	0	50	52	0
4	Drayson Bowman		X			100.00	47	35	87	68	67	46	38	45	55	44	47	58	46	48	42	0	50	51	0
5	Marek Hrivik (R)	X	X	X		100.00	52	35	91	70	68	56	36	42	41	48	35	61	48	37	34	0	50	51	0
6	John McCarthy		X			100.00	49	35	94	68	67	47	33	33	76	33	33	62	47	43	38	0	50	47	0
7	John McFarland			X		100.00	53	35	94	69	73	47	33	33	35	33	33	51	47	35	32	0	50	46	0
8	Ryan Donato (R)	X				100.00	43	45	45	45	52	42	42	43	45	43	43	45	44	32	30	0	50	44	0
9	Brent Gates Jr. (R)	X				100.00	41	43	43	43	67	40	40	41	43	41	41	43	42	32	30	0	50	43	0
10	Erik Foley (R)		X			100.00	41	43	43	43	57	40	40	41	43	41	41	43	42	32	30	0	50	43	0
11	Lane MacDermid		X			100.00	47	84	36	49	75	31	40	32	35	32	32	50	46	39	36	0	50	42	0
12	Daniel Audette (R)	X				100.00	35	37	37	37	51	35	35	35	37	35	35	37	36	32	30	0	50	38	0
13	Philippe Cornet		X			100.00	31	90	30	34	67	31	39	32	35	32	32	33	46	35	32	0	50	37	0
14	Max Sauve	X	X			100.00	31	90	30	33	50	31	31	32	35	32	32	33	46	35	32	0	50	35	0
15	Ahtti Oksanen (R)				X	100.00	43	45	45	45	69	42	42	43	45	43	43	45	44	32	30	0	50	45	0
16	Andrew Nielsen (R)				X	100.00	41	43	43	43	69	40	40	41	43	41	41	43	42	32	30	0	50	44	0
17	Brandon Hickey (R)				X	100.00	41	43	43	43	54	40	40	41	43	41	41	43	42	32	30	0	50	43	0
18	Sergey Zborovskiy (R)				X	100.00	41	43	43	43	65	40	40	41	43	41	41	43	42	32	30	0	50	43	0
19	Colby Cohen				X	100.00	48	93	27	32	66	31	39	32	35	32	32	33	46	35	32	0	50	38	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	47	53	54	51	65	42	40	39	45	39	39	47	45	39	36	0	50	45

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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	Andrew Hammond	100.00	41	45	75	81	39	47	48	37	46	89	91	42	39	0	50	52	0
2	Yann Danis	100.00	44	45	44	64	44	43	43	43	43	62	60	44	40	0	50	47	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	43	45	60	73	42	45	46	40	45	76	76	43	40	0	50	50

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Keith McCambridge	44	69	70	42	72	69	61	CAN	43	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	Drayson Bowman	Stars (Dal)	LW	81	43	36	79	-15	14	0	52	183	301	19	35	14.29%	47	1584	19.56	10	9	19	75	240	0	0	0	5	216	3	3	52.07%	217	0	0	1.00	3	7	0	0	0	3	1	3
2	Marek Hrivik	Stars (Dal)	C/LW/RW	81	16	55	71	-20	4	0	23	240	202	20	45	7.92%	39	1641	20.26	2	12	14	42	267	0	1	1	2	224	1	0	45.38%	1798	0	1	0.87	3	6	0	0	0	0	5	2
3	Chris Neil	Stars (Dal)	RW	81	32	33	65	-6	101	15	197	165	233	24	62	13.73%	25	1715	21.18	7	9	16	52	288	1	0	1	6	311	5	1	54.13%	811	0	0	0.76	0	10	2	0	1	5	2	2
4	Brandon Bollig	Stars (Dal)	LW/RW	68	22	27	49	-17	98	10	231	135	198	16	59	11.11%	18	1440	21.18	2	5	7	44	217	2	2	4	13	237	1	1	62.96%	243	0	0	0.68	2	9	0	1	1	3	1	3
5	John McCarthy	Stars (Dal)	LW	82	20	25	45	-35	18	0	30	195	217	9	40	9.22%	74	1344	16.40	2	2	4	23	73	0	1	1	3	150	2	1	66.67%	120	0	0	0.67	1	2	0	0	0	1	2	2
6	Brent Gates Jr.	Stars (Dal)	C	82	18	26	44	-24	55	5	102	142	134	11	24	13.43%	14	1216	14.83	3	2	5	15	86	0	0	0	1	53	2	1	48.60%	1140	0	0	0.72	0	0	0	1	0	0	3	1
7	John McFarland	Stars (Dal)	RW	82	13	30	43	-26	20	0	52	123	169	8	22	7.69%	25	1445	17.63	4	9	13	42	253	0	0	0	0	46	0	1	36.27%	102	0	0	0.60	0	1	0	0	0	1	3	1
8	Ryan Donato	Stars (Dal)	C	64	12	31	43	-17	37	5	136	102	95	10	30	12.63%	7	1083	16.92	5	9	14	30	193	0	0	0	0	27	0	1	43.79%	1160	0	0	0.79	0	0	0	0	1	1	5	1
9	Erik Foley	Stars (Dal)	LW	81	16	24	40	-35	86	20	94	92	129	14	25	12.40%	9	1265	15.63	1	1	2	11	77	0	0	0	0	25	2	1	49.43%	87	0	0	0.63	0	0	0	1	3	1	0	3
10	Rob Klinkhammer	Stars (Dal)	LW	36	22	15	37	-8	18	0	58	80	168	0	0	13.10%	26	787	21.89	5	2	7	39	123	2	0	2	2	128	3	1	43.79%	354	0	0	0.94	1	2	0	0	0	3	2	2
11	James Wisniewski	Dallas	D	44	8	24	32	23	42	0	65	52	32	0	0	25.00%	30	703	15.99	2	5	7	9	39	1	1	2	1	57	1	0	0.00%	0	0	0	0.91	0	0	0	0	0	2	4	0
12	Lane MacDermid	Stars (Dal)	LW	82	6	19	25	-30	77	15	110	44	63	5	9	9.52%	48	999	12.19	2	3	5	14	77	0	0	0	0	73	1	0	47.67%	86	0	0	0.50	0	0	2	0	1	0	1	1
13	Sergey Zborovskiy	Stars (Dal)	D	82	1	24	25	-25	78	0	122	37	46	2	7	2.17%	99	1534	18.72	0	8	8	20	178	0	0	0	0	193	0	0	50.00%	6	0	0	0.33	0	0	0	0	0	1	0	2
14	Brandon Hickey	Stars (Dal)	D	73	8	15	23	-18	76	10	121	41	43	4	5	18.60%	73	1444	19.79	3	4	7	20	207	0	0	0	1	210	1	0	0.00%	0	0	0	0.32	0	0	0	1	0	2	0	2
15	Andrew Nielsen	Stars (Dal)	D	70	5	14	19	-11	71	5	128	26	27	1	8	18.52%	66	1408	20.12	2	3	5	12	216	0	1	1	1	216	1	1	0.00%	0	1	0	0.27	0	0	0	0	1	2	0	0
16	Ahtti Oksanen	Stars (Dal)	D	52	2	8	10	-25	56	0	78	22	30	8	16	6.67%	56	1090	20.97	0	3	3	14	159	0	0	0	1	166	0	0	100.00%	1	0	0	0.18	0	0	0	0	0	0	0	0
17	Daniel Audette	Stars (Dal)	C	69	1	9	10	-19	12	0	30	35	21	3	4	4.76%	20	638	9.25	1	1	2	3	43	0	0	0	0	9	0	0	42.47%	332	0	0	0.31	0	0	0	0	0	1	0	0
18	Marc-Andre Bourdon	Dallas	D	42	5	3	8	-15	72	20	104	27	26	0	0	19.23%	63	831	19.79	1	1	2	10	119	1	0	1	2	112	0	1	50.00%	2	0	0	0.19	0	0	2	1	1	0	0	1
19	Max Sauve	Stars (Dal)	C/LW	72	3	3	6	-5	59	25	71	29	13	0	1	23.08%	14	662	9.20	1	0	1	8	56	0	2	2	0	107	0	0	34.85%	264	0	0	0.18	0	0	3	0	2	0	0	0
20	Philippe Cornet	Stars (Dal)	LW	71	3	3	6	-2	44	10	37	10	14	1	2	21.43%	12	604	8.52	0	0	0	4	88	0	0	0	1	98	0	0	39.68%	63	0	0	0.20	1	1	1	1	0	0	0	0
21	Colby Cohen	Stars (Dal)	D	80	0	4	4	-37	170	40	213	8	7	1	0	0.00%	37	1342	16.78	0	2	2	0	114	0	0	0	0	166	0	0	50.00%	2	0	0	0.06	0	0	1	3	4	0	0	0
Stats d'équipe Total ou en Moyenne				1475	256	428	684	-367	1208	180	2054	1788	2168	156	394	11.81%	802	24784	16.80	53	90	143	487	3120	7	8	15	39	2832	23	13	47.19%	6788	1	1	0.55	11	38	11	9	15	26	29	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	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2
1	Andrew Hammond	Stars (Dal)	72	21	41	3	0.867	4.39	3667	2	268	2015	2	2	0.821	28	72	0	2	2
2	Yann Danis	Stars (Dal)	29	3	12	1	0.885	4.20	1228	2	86	747	0	0	0.000	0	10	73	0	0
Stats d'équipe Total ou en Moyenne			101	24	53	4	0.872	4.34	4895	4	354	2762	2	2	0.821	28	82	73	2	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
Ahtti Oksanen	Stars (Dal)	D	23	1993-03-10	Yes	207 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	825,000$