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	Marcus Foligno		X			99.00	85	66	74	68	81	68	92	56	39	51	61	71	45	48	42	0	50	63	0
2	Tyler Ennis		X	X		100.00	54	35	88	76	51	71	63	62	35	62	62	57	53	55	48	0	50	61	0
3	Mikko Rantanen (R) (A)		X	X		100.00	53	35	87	73	74	69	59	62	52	56	67	59	42	37	34	0	50	60	0
4	Travis Konecny (R)		X	X		100.00	56	43	79	83	52	56	50	58	35	55	60	58	42	35	32	0	50	57	0
5	Chris Wagner	X	X	X		100.00	69	35	88	70	66	54	46	50	62	41	58	67	48	39	36	0	50	56	0
6	Michael Chaput	X	X	X		100.00	60	43	84	69	71	56	50	47	87	44	50	64	48	44	38	0	50	55	0
7	Timo Meier (R)		X	X		100.00	65	35	87	75	72	54	40	48	35	44	52	61	48	35	33	0	50	54	0
8	Charles Hudon (R)		X			100.00	56	35	83	74	65	61	36	42	47	42	42	61	42	37	34	0	50	51	0
9	Tobias Lindberg		X	X		100.00	47	35	78	63	75	54	33	35	35	36	33	70	47	35	32	0	50	48	0
10	T.J. Tynan (R)	X				100.00	48	35	95	76	46	48	35	35	35	35	35	56	48	32	30	0	50	46	0
11	Nikita Korostelev			X		100.00	37	37	37	37	69	37	37	37	37	37	37	37	37	32	30	0	50	40	0
12	Andreas Johnson (R)		X			100.00	35	37	37	37	56	35	35	35	37	35	35	37	36	32	30	0	50	38	0
13	Marc Staal				X	99.00	68	35	83	62	69	77	91	49	50	48	49	81	48	70	60	0	50	66	0
14	Luca Sbisa				X	99.00	76	50	83	64	69	72	66	46	35	48	43	84	48	58	50	0	50	64	0
15	Carl Gunnarsson				X	100.00	60	43	89	65	64	67	76	45	35	46	43	71	48	59	51	0	50	61	0
16	Cody Goloubef				X	99.00	58	50	79	65	65	64	46	45	35	48	41	67	48	46	42	0	50	57	0
17	Matt Benning (R)				X	100.00	64	43	83	73	63	54	48	45	35	47	43	70	48	36	34	0	50	57	0
18	Steven Kampfer				X	100.00	61	43	82	68	61	64	39	43	50	43	43	66	48	46	40	0	50	56	0
Rayé
1	Jeff Carter (A)	X				100.00	58	43	84	77	75	78	95	77	85	77	77	70	66	76	70	0	50	73	0
2	David Backes (C)	X		X		100.00	83	65	73	72	77	78	92	71	86	70	72	65	58	68	58	0	50	70	0
3	Bobby Ryan		X	X		100.00	64	35	85	73	71	73	84	69	36	66	71	58	65	65	56	0	50	66	0
4	Alexei Emelin				X	100.00	94	43	74	63	72	76	88	45	35	47	43	78	48	53	45	0	50	65	0
5	Jamie Oleksiak				X	71.33	71	56	74	60	95	67	52	47	35	40	53	67	48	45	40	0	50	60	0

	MOYENNE D'ÉQUIPE					98.57	62	42	79	67	68	62	59	50	46	49	51	64	48	47	42	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	Mike Smith	100.00	80	81	95	82	81	78	81	81	74	76	92	61	54	0	50	76	0
2	Thomas Greiss	99.00	81	69	92	87	81	81	84	81	77	72	83	52	48	0	50	75	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	81	75	94	85	81	80	83	81	76	74	88	57	51	0	50	76

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Willie Desjardins	75	88	82	79	76	74	79	CAN	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Bobby Ryan	Nashville	LW/RW	80	31	29	60	6	26	0	69	93	226	27	42	13.72%	6	1523	19.04	11	10	21	63	355	1	0	1	8	114	5	0	26.03%	146	1	1	0.79	4	8	0	0	0	6	4	4
2	Jeff Carter	Nashville	C	70	22	38	60	0	33	5	54	155	233	11	43	9.44%	9	1425	20.36	6	17	23	64	319	0	0	0	2	138	5	2	54.92%	1828	0	0	0.84	1	5	0	0	0	2	5	5
3	David Backes	Nashville	C/RW	74	22	32	54	15	147	35	215	91	221	22	42	9.95%	9	1470	19.88	6	12	18	55	330	1	1	2	10	208	5	2	60.92%	458	1	1	0.73	3	6	3	1	3	4	4	7
4	Marc Staal	Nashville	D	81	8	33	41	-1	52	0	78	69	105	9	30	7.62%	124	1994	24.62	4	13	17	50	373	0	1	1	2	372	0	2	0.00%	0	0	0	0.41	0	0	0	0	0	2	1	2
5	Tyler Ennis	Nashville	LW/RW	85	17	24	41	6	22	0	44	72	168	24	37	10.12%	5	1379	16.23	4	8	12	44	300	0	0	0	0	18	2	1	33.58%	134	0	1	0.59	2	4	0	0	0	2	3	2
6	Luca Sbisa	Nashville	D	82	4	33	37	10	127	15	177	74	58	13	28	6.90%	88	1524	18.59	1	8	9	29	163	0	0	0	0	291	1	0	0.00%	0	0	0	0.49	0	0	0	1	2	1	2	1
7	Travis Konecny	Nashville	LW/RW	82	12	21	33	0	34	0	47	60	117	13	43	10.26%	2	815	9.95	0	2	2	1	13	0	1	1	0	38	2	0	32.46%	114	0	0	0.81	0	0	0	0	0	1	3	2
8	Alexei Emelin	Nashville	D	81	7	25	32	13	217	15	236	58	87	4	18	8.05%	86	1810	22.35	4	8	12	55	346	0	1	1	0	279	0	1	0.00%	0	0	0	0.35	0	0	0	0	3	0	2	2
9	Marcus Foligno	Nashville	LW	82	15	16	31	13	109	15	180	59	104	13	43	14.42%	14	1120	13.66	2	2	4	18	159	1	0	1	3	220	1	3	32.59%	135	0	0	0.55	1	1	1	1	1	4	4	2
10	Mikko Rantanen	Nashville	LW/RW	84	14	13	27	5	16	0	39	66	123	21	30	11.38%	8	992	11.81	4	2	6	27	118	0	0	0	0	18	3	1	41.44%	111	0	0	0.54	1	2	0	0	0	2	1	1
11	Carl Gunnarsson	Nashville	D	82	6	17	23	13	50	0	59	48	41	7	12	14.63%	68	1432	17.47	2	3	5	16	166	0	0	0	0	196	1	1	0.00%	0	0	0	0.32	0	0	0	0	0	0	1	1
12	Chris Wagner	Nashville	C/LW/RW	67	10	9	19	0	18	0	56	77	76	10	25	13.16%	12	871	13.01	2	2	4	14	113	0	0	0	2	166	0	0	39.15%	1032	0	0	0.44	0	0	0	0	0	1	0	1
13	Cody Goloubef	Nashville	D	55	2	12	14	2	75	15	63	27	15	1	6	13.33%	42	778	14.15	1	2	3	6	15	0	0	0	1	99	0	0	0.00%	9	0	0	0.36	0	0	2	1	0	0	0	0
14	Jamie Oleksiak	Nashville	D	70	5	9	14	0	140	20	136	26	32	2	10	15.63%	66	1140	16.29	1	1	2	7	104	0	1	1	0	127	1	0	0.00%	0	0	0	0.25	0	0	3	0	1	2	2	0
15	Joel Vermin	Chill (Nas)	LW/RW	72	3	8	11	-13	14	0	17	53	47	4	5	6.38%	8	585	8.13	0	0	0	2	9	0	0	0	0	63	1	0	32.14%	28	0	0	0.38	0	0	0	0	0	0	1	1
16	Michael Chaput	Nashville	C/LW/RW	70	4	7	11	-4	19	5	24	69	35	4	8	11.43%	4	602	8.61	0	0	0	1	6	0	1	1	2	65	0	0	54.13%	593	0	0	0.36	0	0	1	0	0	0	0	3
17	Matt Benning	Nashville	D	27	1	8	9	-1	10	0	26	16	11	3	9	9.09%	27	400	14.83	0	0	0	2	2	0	0	0	0	49	0	1	0.00%	0	0	0	0.45	0	0	0	0	0	0	1	0
18	Timo Meier	Nashville	LW/RW	52	6	3	9	-5	12	0	37	25	34	4	6	17.65%	5	426	8.19	0	0	0	0	0	0	0	0	0	0	0	0	15.79%	19	0	0	0.42	0	1	0	0	0	0	0	0
19	Charles Hudon	Nashville	LW	33	3	1	4	-5	8	0	17	16	13	5	7	23.08%	3	292	8.87	0	0	0	0	14	0	0	0	0	9	0	0	32.19%	146	0	0	0.27	0	0	0	0	0	0	0	0
20	Mark Barberio	Chill (Nas)	D	4	1	0	1	-4	0	0	5	1	1	0	0	100.00%	0	33	8.28	0	0	0	0	0	0	0	0	0	0	0	0	22.58%	31	0	0	0.60	0	0	0	0	0	0	0	0
21	Andreas Johnson	Nashville	LW	2	0	0	0	-1	0	0	3	4	1	0	0	0.00%	0	22	11.32	0	0	0	0	0	0	0	0	0	1	0	0	45.83%	24	0	0	0.00	0	0	0	0	0	0	0	0
22	Steven Kampfer	Nashville	D	2	0	0	0	-2	4	0	2	0	1	0	0	0.00%	1	31	15.87	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
23	A.J. Greer	Chill (Nas)	LW	4	0	0	0	0	0	0	6	5	4	0	1	0.00%	0	31	7.95	0	0	0	0	1	0	0	0	0	0	0	0	33.33%	3	0	0	0.00	0	0	0	0	0	0	0	0
24	T.J. Tynan	Nashville	C	2	0	0	0	-2	0	0	0	0	0	0	0	0.00%	0	24	12.06	0	0	0	0	0	0	0	0	0	0	0	0	26.92%	26	0	0	0.00	0	0	0	0	0	0	0	0
25	Tobias Lindberg	Nashville	LW/RW	12	0	0	0	-2	2	0	4	8	2	1	7	0.00%	2	115	9.63	0	0	0	0	0	0	0	0	0	7	0	0	20.00%	5	0	0	0.00	0	0	0	0	0	0	0	0
26	Filip Chlapik	Chill (Nas)	C	2	0	0	0	1	0	0	2	0	0	0	0	0.00%	0	11	5.66	0	0	0	0	0	0	0	0	0	0	0	0	41.67%	12	0	0	0.00	0	0	0	0	0	0	0	0
27	Nikita Korostelev	Nashville	RW	2	0	0	0	-1	2	0	2	0	0	0	0	0.00%	0	20	10.44	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1359	193	338	531	43	1137	125	1598	1172	1755	198	452	11.00%	589	20877	15.36	48	90	138	454	2916	3	6	9	30	2492	27	14	47.57%	4854	2	3	0.51	12	27	10	4	10	27	34	34

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Mike Smith	Nashville	64	28	22	10	0.902	2.67	3660	6	3	163	1671	2	0.577	26	58	24	4	2	2
2	Thomas Greiss	Nashville	33	18	14	1	0.892	2.93	1883	0	3	92	853	0	0.786	14	33	49	3	0	2
3	Jacob Markstrom	Chill (Nas)	9	3	1	0	0.868	3.87	279	0	0	18	136	0	0.000	0	6	41	0	1	0
Stats d'équipe Total ou en Moyenne			106	49	37	11	0.897	2.81	5823	6	6	273	2660	2	0.650	40	97	114	7	3	4

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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
Alexei Emelin	Nashville	D	30	1986-04-25	No	218 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	2,175,000$