Ligue de hockey Simulée Ste-Flanelle

Las Vegas
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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	Dave Dziurzynski		X			100.00	61	35	79	65	79	49	34	49	45	51	47	58	47	35	32	0	50	52	0
2	Andrew Miller			X		100.00	45	35	94	73	55	51	33	47	47	49	44	61	47	35	32	0	50	51	0
3	Nikita Scherbak (R)			X		100.00	50	35	95	75	64	57	35	42	71	42	42	59	48	35	32	0	50	51	0
4	Justin Dowling (R)	X				100.00	46	35	88	72	57	52	35	45	56	55	35	64	48	35	32	0	50	51	0
5	Eric Tangradi		X			100.00	55	35	58	67	78	52	34	40	38	38	42	57	44	50	45	0	50	50	0
6	Viktor Tikhonov		X	X		100.00	55	35	84	67	63	49	41	43	39	40	46	58	47	35	32	0	50	50	0
7	Daniel Sprong			X		100.00	48	35	94	73	55	46	34	44	49	33	53	54	47	35	32	0	50	49	0
8	Vladislav Kamenev (R)	X	X			100.00	54	35	73	75	67	51	35	35	50	35	35	60	48	35	32	0	50	48	0
9	Noah Rod (R)	X	X	X		100.00	43	45	45	45	60	42	42	43	45	43	43	45	44	32	30	0	50	44	0
10	Aaron Palushaj		X	X		100.00	31	81	39	53	59	31	48	32	35	32	32	52	46	43	38	0	50	42	0
11	Radovan Bondra		X	X		100.00	37	37	37	37	78	37	37	37	37	37	37	37	37	32	30	0	50	40	0
12	Rudolfs Balcers		X			100.00	37	37	37	37	51	37	37	37	37	37	37	37	37	32	30	0	50	39	0
13	Peter Quenneville (R)	X				100.00	35	37	37	37	56	35	35	35	37	35	35	37	36	32	30	0	50	38	0
14	David Kase		X	X		100.00	37	37	37	37	44	37	37	37	37	37	37	37	37	32	30	0	50	38	0
15	Stefan Elliott				X	100.00	53	35	88	66	61	52	35	46	35	45	47	70	47	46	40	0	50	55	0
16	Luke Witkowski				X	100.00	75	56	70	63	72	56	47	43	35	46	39	60	48	38	35	0	50	55	0
17	Gabriel Carlsson (R)				X	100.00	49	35	95	65	63	54	35	34	35	35	32	54	48	35	33	0	50	49	0
18	Noah Juulsen				X	100.00	50	50	50	50	62	50	50	50	50	50	50	50	50	32	30	0	50	49	0
19	Tyler Cuma				X	100.00	57	90	30	33	56	31	36	32	35	32	32	33	46	35	32	0	50	38	0
20	John Negrin				X	100.00	42	96	24	30	64	31	31	32	35	32	32	30	46	35	32	0	50	36	0
21	Radek Martinek				X	100.00	19	20	20	20	20	19	19	19	20	19	19	20	20	63	56	0	50	27	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	47	45	61	54	60	44	37	39	41	39	39	49	44	37	34	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	Mark Visentin	100.00	48	45	44	72	45	41	43	41	39	39	38	35	32	0	50	45	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	48	45	44	72	45	41	43	41	39	39	38	35	32	0	50	45

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Tom Rowe	73	88	84	72	83	70	78	USA	60	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	Andrew Miller	Las Vegas (Las)	RW	82	27	51	78	-14	24	0	41	148	241	12	46	11.20%	29	1530	18.67	10	24	34	51	263	0	0	0	3	223	3	0	47.40%	192	1	1.02	0	4	0	0	0	4	1	2
2	Justin Dowling	Las Vegas (Las)	C	82	21	49	70	-18	25	5	56	186	179	14	43	11.73%	36	1436	17.51	7	21	28	41	255	0	1	1	3	178	1	1	54.38%	1506	0	0.97	0	3	1	0	0	2	4	2
3	Stefan Elliott	Las Vegas (Las)	D	78	19	50	69	-2	34	0	43	108	144	15	30	13.19%	130	1726	22.14	9	11	20	70	232	0	0	0	3	281	2	1	0.00%	0	0	0.80	0	0	0	0	0	7	1	3
4	Daniel Sprong	Las Vegas (Las)	RW	82	31	27	58	13	8	0	22	107	189	13	46	16.40%	10	840	10.25	1	0	1	9	38	0	0	0	0	0	6	0	44.26%	61	0	1.38	0	0	0	0	0	3	5	1
5	Dave Dziurzynski	Las Vegas (Las)	LW	66	25	32	57	3	46	0	142	96	176	9	15	14.20%	21	1297	19.66	8	12	20	41	201	1	1	2	13	280	4	1	48.48%	328	0	0.88	3	6	0	0	0	4	5	4
6	Nikita Scherbak	Las Vegas (Las)	RW	70	14	40	54	-1	26	10	31	100	133	10	16	10.53%	23	1064	15.20	3	11	14	25	178	0	0	0	1	88	0	1	65.79%	76	0	1.01	0	1	0	0	2	0	5	3
7	Noah Juulsen	Las Vegas (Las)	D	82	13	34	47	-8	179	35	200	44	87	3	13	14.94%	68	1638	19.98	9	10	19	44	238	0	1	1	2	258	1	1	0.00%	0	0	0.57	0	1	2	0	5	0	2	3
8	Eric Tangradi	Las Vegas (Las)	LW	78	22	21	43	-11	94	10	112	84	152	12	36	14.47%	22	954	12.23	0	0	0	3	25	0	0	0	0	52	1	0	44.05%	84	1	0.90	0	0	0	0	0	2	3	4
9	Roman Lyubimov	Las Vegas	C/RW	40	24	19	43	4	12	0	28	68	138	0	0	17.39%	11	746	18.66	7	10	17	35	140	0	0	0	4	106	2	1	44.87%	878	1	1.15	1	4	0	0	0	3	2	3
10	Luke Witkowski	Las Vegas (Las)	D	74	12	28	40	0	127	35	194	45	82	8	8	14.63%	78	1463	19.78	6	10	16	43	238	0	1	1	4	275	1	0	0.00%	0	0	0.55	0	0	3	2	1	1	3	0
11	Viktor Tikhonov	Las Vegas (Las)	LW/RW	82	20	20	40	-23	40	0	91	84	191	17	35	10.47%	26	1186	14.46	4	7	11	42	181	0	0	0	0	24	0	2	50.00%	68	1	0.67	0	1	0	0	0	2	0	3
12	Vladislav Kamenev	Las Vegas (Las)	C/LW	82	10	28	38	-20	37	5	83	161	133	9	16	7.52%	21	1112	13.57	1	3	4	18	118	0	0	0	1	29	1	0	54.70%	1170	0	0.68	0	1	1	0	0	3	0	0
13	Noah Rod	Las Vegas (Las)	C/LW/RW	82	8	22	30	8	46	0	85	72	66	10	13	12.12%	20	814	9.94	0	1	1	3	18	0	0	0	0	32	2	2	47.71%	698	0	0.74	0	0	0	0	0	0	2	4
14	Joseph Cramarossa	Las Vegas	LW	17	11	17	28	9	29	5	59	45	68	0	0	16.18%	5	339	19.99	3	7	10	15	66	1	0	1	2	59	1	0	57.14%	154	1	1.65	0	3	0	0	1	2	2	3
15	Gabriel Carlsson	Las Vegas (Las)	D	80	4	21	25	-9	30	10	33	52	56	6	10	7.14%	113	1671	20.89	3	4	7	24	234	0	0	0	1	295	1	0	0.00%	0	0	0.30	0	0	1	0	1	0	1	0
16	Aaron Palushaj	Las Vegas (Las)	LW/RW	82	7	16	23	-4	37	15	36	47	65	10	19	10.77%	24	692	8.44	0	0	0	0	1	0	0	0	0	0	2	0	44.74%	38	0	0.66	0	0	1	1	1	0	1	1
17	Nick Lappin	Las Vegas	RW	16	4	6	10	-2	4	0	15	39	43	0	0	9.30%	2	292	18.25	0	2	2	5	32	0	0	0	0	60	0	0	52.24%	134	0	0.68	0	0	0	0	0	1	0	2
18	Tyler Cuma	Las Vegas (Las)	D	78	3	6	9	-7	176	10	228	11	14	0	4	21.43%	42	1174	15.05	1	0	1	1	83	0	0	0	0	62	1	1	0.00%	0	0	0.15	0	0	2	0	0	1	0	0
19	Radovan Bondra	Las Vegas (Las)	LW/RW	78	6	3	9	0	39	5	39	11	37	2	12	16.22%	4	426	5.47	0	1	1	3	23	0	0	0	1	34	0	0	48.78%	41	0	0.42	0	0	0	0	1	0	0	0
20	David Kase	Las Vegas (Las)	LW/RW	78	2	6	8	5	10	0	16	13	18	3	5	11.11%	9	296	3.81	1	1	2	5	28	0	0	0	0	98	1	0	31.48%	54	0	0.54	0	0	0	0	0	0	1	0
21	Peter Quenneville	Las Vegas (Las)	C	43	0	4	4	2	27	5	23	36	27	4	4	0.00%	5	360	8.38	0	0	0	0	2	0	0	0	0	2	0	0	42.90%	352	0	0.22	0	0	0	0	1	0	0	0
22	Rudolfs Balcers	Las Vegas (Las)	LW	82	1	3	4	-1	2	0	13	6	7	0	0	14.29%	6	171	2.09	0	3	3	4	52	0	0	0	0	53	1	0	42.42%	33	0	0.47	0	0	0	0	0	0	0	0
23	John Negrin	Las Vegas (Las)	D	82	1	2	3	-8	101	45	114	2	2	1	2	50.00%	26	1214	14.81	0	0	0	0	24	0	0	0	0	145	0	0	0.00%	0	0	0.05	0	0	3	0	5	0	0	0
24	Zach Trotman	Las Vegas	D	4	0	1	1	4	4	0	5	1	4	0	0	0.00%	6	87	21.95	0	1	1	1	18	0	0	0	0	10	0	0	0.00%	0	0	0.23	0	0	0	0	0	0	0	0
25	Radek Martinek	Las Vegas (Las)	D	82	0	0	0	-6	22	0	35	0	0	0	0	0.00%	5	711	8.67	0	0	0	0	57	0	0	0	0	125	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1702	285	506	791	-86	1179	195	1744	1566	2252	158	373	12.66%	742	23250	13.66	73	139	212	483	2758	2	4	6	38	2781	31	11	50.47%	5867	5	0.68	4	24	14	3	18	35	38	38

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Mark Visentin	Las Vegas (Las)	50	17	26	3	0.865	3.96	2545	4	168	1246	1	0.625	16	45	56	2	0	1
2	Dan Vladar	Las Vegas	37	16	13	3	0.862	4.07	2021	2	137	990	0	0.000	0	37	0	0	1	1
Stats d'équipe Total ou en Moyenne			87	33	39	6	0.864	4.01	4567	6	305	2236	1	0.625	16	82	56	2	1	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
Aaron Palushaj	Las Vegas (Las)	LW/RW	27	1989-09-07	No	187 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	500,000$