Ligue de hockey Simulée Ste-Flanelle

Minnesota
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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	Mikko Koivu (C)	X				100.00	56	35	84	74	75	80	95	75	89	79	71	76	58	69	59	0	50	72	0
2	Jaden Schwartz	X	X			99.00	56	35	88	81	58	79	80	76	60	78	73	72	45	53	47	0	50	70	0
3	Paul Stastny	X				99.00	53	43	83	77	69	79	82	75	89	78	72	70	45	68	58	0	50	70	0
4	Kyle Okposo			X		100.00	57	43	84	79	75	79	86	75	46	77	73	58	46	60	52	0	50	69	0
5	Charlie Coyle	X	X	X		100.00	69	35	85	75	77	73	95	69	82	70	68	66	52	50	44	0	50	68	0
6	David Pastrnak			X		99.00	58	35	84	87	56	71	82	72	35	69	75	62	50	38	35	0	50	66	0
7	Rickard Rakell	X	X	X		100.00	61	43	89	78	70	71	86	69	78	62	75	63	55	47	44	0	50	66	0
8	Craig Smith			X		100.00	63	35	85	74	72	70	94	63	57	59	66	62	50	53	44	0	50	64	0
9	Derek MacKenzie	X	X			100.00	73	56	81	72	55	64	93	51	85	48	54	77	48	65	59	0	50	62	0
10	William Karlsson	X				100.00	53	35	91	73	62	65	92	55	79	55	54	71	50	37	34	0	50	60	0
11	Valeri Nichushkin		X	X		100.00	58	35	89	70	72	59	71	55	35	54	55	63	54	45	37	0	50	58	0
12	Blake Pietila (R)		X	X		100.00	55	35	85	69	68	63	36	51	43	48	54	73	48	37	34	0	50	56	0
13	Dougie Hamilton				X	100.00	68	43	78	77	70	77	95	67	35	73	61	73	48	49	43	0	50	69	0
14	Brian Campbell				X	100.00	53	43	87	74	61	76	94	56	35	60	51	72	48	84	77	0	50	67	0
15	Travis Hamonic				X	99.00	74	61	73	66	68	80	72	57	35	60	53	80	48	54	45	0	50	66	0
16	Matt Dumba				X	100.00	69	43	79	78	57	65	69	54	35	53	55	74	48	48	40	0	50	63	0
17	Brian Dumoulin				X	100.00	66	35	89	65	69	72	82	47	40	52	41	76	48	50	48	0	50	63	0
18	John Moore				X	100.00	67	43	82	71	69	67	60	52	35	47	57	73	48	54	48	0	50	62	0
Rayé
1	Brandon Manning				X	100.00	68	67	67	67	67	69	71	46	35	46	45	73	48	46	40	0	50	61	0
2	Evgeny Medvedev				X	100.00	51	35	77	65	61	52	40	46	35	45	47	73	44	35	32	0	50	55	0

	MOYENNE D'ÉQUIPE					99.80	61	42	83	74	67	71	79	61	53	61	60	70	49	52	46	0	50	64

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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	Henrik Lundqvist	99.00	86	92	96	68	86	79	86	85	72	75	90	77	67	0	50	78	0
2	Andrei Vasilevskiy	100.00	72	50	92	78	74	68	69	77	66	83	93	39	36	0	50	67	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	79	71	94	73	80	74	78	81	69	79	92	58	52	0	50	73

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Claude Julien	87	94	83	91	99	99	92	QUE	57	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	Mikko Koivu	Minnesota	C	82	34	59	93	23	46	0	101	169	264	18	37	12.88%	16	1538	18.76	8	23	31	83	390	0	0	0	3	29	6	1	55.65%	2016	3	1	1.21	0	7	0	0	0	6	9	6
2	Jaden Schwartz	Minnesota	C/LW	82	32	42	74	7	32	0	82	140	288	20	58	11.11%	15	1671	20.39	12	17	29	93	385	1	0	1	3	62	5	4	36.97%	165	0	0	0.89	0	0	0	0	0	3	5	7
3	Kyle Okposo	Minnesota	RW	82	32	36	68	4	50	0	106	80	218	26	45	14.68%	6	1595	19.46	10	13	23	64	389	0	0	0	0	5	9	0	37.90%	124	0	1	0.85	0	5	0	0	0	4	7	8
4	Dougie Hamilton	Minnesota	D	82	10	43	53	-1	116	10	124	102	118	8	26	8.47%	72	1844	22.50	7	17	24	80	377	0	0	0	1	63	1	0	0.00%	0	0	0	0.57	0	0	0	0	1	1	2	4
5	David Pastrnak	Minnesota	RW	76	22	30	52	18	34	0	100	99	216	14	43	10.19%	6	1274	16.77	6	9	15	59	313	0	0	0	0	0	2	1	38.38%	99	0	0	0.82	1	2	0	0	0	5	4	1
6	Paul Stastny	Minnesota	C	72	24	27	51	8	66	20	61	144	181	14	45	13.26%	10	1280	17.78	10	11	21	55	280	0	0	0	0	0	3	0	57.17%	1555	0	0	0.80	0	0	0	0	4	4	2	3
7	Rickard Rakell	Minnesota	C/LW/RW	82	23	25	48	16	55	15	80	67	189	11	37	12.17%	7	1389	16.94	4	9	13	45	313	0	0	0	1	5	4	3	50.43%	115	0	0	0.69	1	6	0	3	0	2	4	4
8	Brian Campbell	Minnesota	D	81	4	34	38	0	44	10	37	46	83	4	10	4.82%	75	1727	21.32	3	5	8	48	361	0	1	1	1	177	0	1	0.00%	0	0	0	0.44	0	0	1	0	1	0	1	1
9	Charlie Coyle	Minnesota	C/LW/RW	82	16	21	37	-8	52	0	79	133	159	18	24	10.06%	15	1186	14.47	1	3	4	15	96	1	0	1	9	249	1	1	52.16%	1158	0	0	0.62	1	2	0	0	0	2	1	1
10	Travis Hamonic	Minnesota	D	66	5	29	34	8	193	65	138	52	73	11	18	6.85%	86	1449	21.97	4	6	10	40	257	0	0	0	2	211	1	0	0.00%	0	0	0	0.47	0	0	4	3	5	2	0	0
11	Craig Smith	Minnesota	RW	82	10	15	25	-6	12	0	43	71	101	6	29	9.90%	5	843	10.29	1	2	3	6	32	0	0	0	0	2	1	1	42.86%	56	0	1	0.59	1	1	0	0	0	1	0	1
12	Matt Dumba	Minnesota	D	67	5	16	21	14	70	10	81	56	77	11	14	6.49%	86	1297	19.36	2	5	7	46	275	0	1	1	2	220	2	0	0.00%	0	0	0	0.32	0	0	0	1	1	0	0	2
13	John Moore	Minnesota	D	81	4	12	16	19	70	0	103	55	45	6	4	8.89%	86	1365	16.86	0	0	0	9	51	0	0	0	0	281	0	0	0.00%	0	0	0	0.23	0	0	0	0	0	0	1	3
14	Derek MacKenzie	Minnesota	C/LW	82	7	8	15	-6	64	20	93	78	79	2	22	8.86%	18	1099	13.41	0	0	0	0	2	0	0	0	6	358	1	1	46.70%	227	0	0	0.27	0	0	0	2	2	2	2	0
15	Brian Dumoulin	Minnesota	D	82	2	10	12	-19	58	0	92	61	31	3	6	6.45%	92	1655	20.19	2	4	6	11	146	0	1	1	2	313	0	0	0.00%	0	0	0	0.14	0	0	0	0	0	0	0	0
16	William Karlsson	Minnesota	C	82	7	4	11	-14	18	0	31	109	39	2	5	17.95%	15	910	11.11	0	0	0	0	0	1	0	1	4	389	0	0	47.10%	1291	0	0	0.24	0	0	0	0	0	0	0	1
17	Blake Pietila	Minnesota	LW/RW	81	4	5	9	-12	18	0	27	54	44	3	10	9.09%	13	704	8.69	0	0	0	2	12	0	0	0	2	225	0	1	53.49%	43	0	0	0.26	0	0	0	0	0	0	0	2
18	Valeri Nichushkin	Minnesota	LW/RW	82	2	6	8	-13	14	0	29	25	38	3	3	5.26%	2	541	6.60	1	0	1	2	23	0	0	0	0	0	0	0	22.86%	35	0	0	0.30	0	7	0	0	0	0	0	0
19	Brandon Manning	Minnesota	D	23	1	2	3	-3	43	15	52	13	11	0	0	9.09%	22	394	17.16	0	0	0	2	20	0	0	0	1	72	0	0	0.00%	0	0	0	0.15	0	0	0	3	0	0	0	0
20	Evgeny Medvedev	Minnesota	D	10	1	1	2	-4	6	0	2	3	5	0	0	20.00%	5	140	14.06	0	0	0	0	0	0	0	0	1	7	0	0	0.00%	0	0	0	0.28	0	0	0	0	0	0	0	0
21	Chris Terry	Minnesota (Min)	LW/RW	6	0	1	1	0	0	0	2	4	11	0	0	0.00%	0	62	10.35	0	0	0	0	0	0	0	0	0	5	0	0	60.00%	5	0	0	0.32	0	0	0	0	0	0	0	0
22	Austin Czarnik	Minnesota (Min)	C/RW	1	0	0	0	0	0	0	0	1	0	0	0	0.00%	0	7	7.98	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
23	J.T. Brown	Minnesota (Min)	LW/RW	10	0	0	0	-2	4	0	5	3	6	0	0	0.00%	1	53	5.35	0	0	0	1	1	0	0	0	0	0	0	0	20.00%	5	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1476	245	426	671	29	1065	165	1468	1565	2276	180	436	10.76%	653	24035	16.28	71	124	195	661	3733	3	3	6	38	2681	36	14	52.10%	6894	3	3	0.56	4	30	5	12	14	32	38	44

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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	Henrik Lundqvist	Minnesota	62	30	23	7	0.906	2.58	3625	6	4	156	1658	3	2	0.742	31	57	25	7	3
2	Andrei Vasilevskiy	Minnesota	25	8	12	2	0.880	3.18	1341	0	1	71	593	1	1	0.000	0	25	53	1	1
Stats d'équipe Total ou en Moyenne			87	38	35	9	0.899	2.74	4967	6	5	227	2251	4	3	0.742	31	82	78	8	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
Andrei Vasilevskiy	Minnesota	G	22	1994-07-25	No	207 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	925,000$