Ligue de hockey Simulée Ste-Flanelle

Cougars
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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	Claude Giroux (A)	X	X			99.00	57	43	82	85	57	81	95	77	89	83	71	61	51	65	56	0	50	71	0
2	Justin Williams			X		99.00	50	43	81	82	61	73	94	71	68	69	73	64	50	86	82	0	50	70	0
3	Tyler Bozak	X				100.00	57	43	85	80	67	75	90	74	88	77	70	60	44	56	47	0	50	69	0
4	Nick Foligno	X	X	X		100.00	75	61	79	79	71	77	93	72	84	70	73	63	45	63	53	0	50	69	0
5	Chris Kreider		X			100.00	72	56	77	76	81	74	92	70	40	66	73	60	56	51	46	0	50	67	0
6	Jakob Silfverberg		X	X		99.00	55	35	87	75	68	77	94	68	35	65	71	75	57	53	46	0	50	67	0
7	Jason Zucker		X	X		100.00	62	35	86	79	58	69	93	65	39	62	68	70	45	48	44	0	50	65	0
8	Jean-Gabriel Pageau	X		X		100.00	63	35	87	76	54	70	94	63	86	60	65	76	45	47	44	0	50	65	0
9	Brock Nelson	X	X			100.00	59	35	84	75	72	68	94	65	78	60	69	63	45	49	39	0	50	65	0
10	Sam Reinhart	X		X		100.00	51	35	92	78	66	73	94	66	69	65	67	61	58	37	34	0	50	64	0
11	Sven Baertschi		X	X		100.00	55	35	90	78	63	67	73	62	35	57	67	64	42	47	43	0	50	62	0
12	Sam Bennett	X	X			100.00	66	50	76	74	59	69	79	58	79	54	62	66	42	39	36	0	50	61	0
13	Ryan McDonagh				X	99.00	66	50	84	73	71	84	92	65	40	72	57	89	48	62	53	0	50	72	0
14	Anton Stralman				X	100.00	66	35	87	71	60	81	91	59	35	63	55	85	45	67	59	0	50	70	0
15	Justin Faulk (A)				X	99.00	78	43	84	78	70	83	91	65	35	64	66	76	56	50	42	0	50	70	0
16	Morgan Rielly				X	100.00	62	43	87	71	70	80	93	58	35	61	55	78	45	49	39	0	50	67	0
17	Kevin Klein				X	100.00	72	61	84	67	68	74	77	53	35	55	51	78	48	69	61	0	50	66	0
18	Colton Parayko				X	100.00	62	43	85	67	78	72	84	55	35	61	49	80	48	41	38	0	50	65	0
Rayé
1	Joel Armia			X		100.00	62	35	86	69	72	62	51	56	40	50	61	71	48	37	34	0	50	58	0
2	Jacob Trouba				X	94.57	74	61	75	71	67	81	80	60	35	62	57	86	48	48	39	0	50	68	0

	MOYENNE D'ÉQUIPE					99.45	63	44	84	75	67	75	87	64	54	64	64	71	48	53	47	0	50	67

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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	Antti Niemi	100.00	69	55	85	81	67	67	68	66	65	82	91	62	57	0	50	68	0
2	Jason Kasdorf	100.00	44	45	55	63	44	43	43	44	43	62	60	35	32	0	50	47	0
Rayé
1	Jake Allen	99.00	90	76	92	76	89	84	84	87	84	77	94	47	41	0	50	77	0
2	Antti Raanta	82.52	77	45	85	71	77	79	78	78	79	80	53	44	39	0	50	70	0

	MOYENNE D'ÉQUIPE	95.25	70	55	79	73	69	68	68	69	68	75	75	47	42	0	50	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Paul Maurice	90	85	88	91	99	76	88	CAN	50	2	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	Claude Giroux	Detroit	C/LW	80	32	53	85	12	34	0	83	192	228	20	46	14.04%	6	1687	21.09	6	16	22	73	383	0	1	1	5	234	5	2	52.53%	1639	0	0	1.01	0	4	0	0	0	7	5	6
2	Ryan McDonagh	Detroit	D	81	21	59	80	8	88	20	75	117	147	11	16	14.29%	114	2057	25.40	13	14	27	100	382	1	1	2	3	339	6	0	0.00%	0	1	0	0.78	0	0	1	1	2	5	8	2
3	Justin Faulk	Detroit	D	82	18	41	59	2	120	0	172	74	157	14	28	11.46%	91	1911	23.31	11	14	25	93	388	1	0	1	5	319	4	1	0.00%	0	0	1	0.62	1	5	0	0	0	1	6	5
4	Justin Williams	Detroit	RW	77	25	31	56	6	28	10	63	83	158	20	30	15.82%	2	1289	16.74	6	14	20	47	342	0	0	0	1	5	6	0	54.02%	87	0	0	0.87	0	0	0	1	1	4	3	4
5	Tyler Bozak	Detroit	C	82	12	43	55	5	22	0	46	155	183	19	43	6.56%	5	1458	17.79	4	21	25	52	375	0	1	1	1	111	4	0	54.48%	1907	0	0	0.75	0	0	0	0	0	3	0	3
6	Jakob Silfverberg	Detroit	LW/RW	80	18	33	51	9	48	0	80	95	205	19	36	8.78%	25	1698	21.23	6	11	17	59	335	1	0	1	10	389	3	3	29.29%	140	1	0	0.60	1	6	0	0	0	5	0	4
7	Jacob Trouba	Detroit	D	75	13	31	44	5	105	5	158	84	120	13	26	10.83%	79	1630	21.74	8	11	19	83	294	0	1	1	0	243	2	2	0.00%	0	0	0	0.54	0	0	0	0	1	1	3	2
8	Nick Foligno	Detroit	C/LW/RW	77	23	19	42	8	150	50	193	74	145	12	23	15.86%	6	1316	17.09	6	8	14	48	357	0	1	1	1	66	7	3	53.92%	293	0	1	0.64	0	0	4	1	4	6	1	4
9	Jean-Gabriel Pageau	Detroit	C/RW	80	16	16	32	9	38	0	69	127	130	15	19	12.31%	14	1536	19.21	7	8	15	43	328	0	0	0	4	333	4	1	50.36%	961	0	0	0.42	0	0	0	0	0	1	4	0
10	Morgan Rielly	Detroit	D	82	8	24	32	2	56	10	46	61	91	8	17	8.79%	75	1613	19.68	4	11	15	61	328	1	0	1	1	262	2	0	0.00%	0	0	0	0.40	0	0	0	0	1	1	1	1
11	Anton Stralman	Detroit	D	82	5	23	28	11	60	0	103	68	46	3	13	10.87%	75	1427	17.41	2	0	2	14	78	1	1	2	2	225	3	0	0.00%	0	0	0	0.39	0	0	0	0	0	1	2	2
12	Jason Zucker	Detroit	LW/RW	82	10	15	25	2	34	0	55	74	139	11	27	7.19%	7	1046	12.76	0	1	1	5	19	0	1	1	5	193	1	0	30.00%	80	0	0	0.48	0	0	0	0	0	0	3	5
13	Sam Reinhart	Detroit	C/RW	82	11	12	23	-1	4	0	16	70	102	7	15	10.78%	5	849	10.36	0	0	0	2	25	0	0	0	0	0	1	2	44.69%	875	0	0	0.54	0	6	0	0	0	1	2	0
14	Chris Kreider	Detroit	LW	82	11	11	22	-8	102	30	142	38	118	3	15	9.32%	6	914	11.15	0	2	2	9	50	0	2	2	0	69	0	1	40.85%	71	0	0	0.48	0	0	1	3	2	1	1	2
15	Brock Nelson	Detroit	C/LW	83	8	11	19	-2	27	5	28	43	103	12	24	7.77%	6	724	8.73	0	1	1	0	2	0	0	0	0	6	1	1	54.37%	160	0	0	0.52	0	0	0	0	1	0	2	1
16	Joel Armia	Detroit	RW	49	6	7	13	5	12	0	18	15	43	3	1	13.95%	6	413	8.43	0	0	0	0	0	0	0	0	0	0	0	0	29.17%	24	0	0	0.63	0	0	0	0	0	0	1	0
17	Sam Bennett	Detroit	C/LW	78	6	6	12	-6	42	10	50	67	59	2	12	10.17%	5	649	8.32	1	0	1	4	17	0	0	0	0	4	0	0	46.88%	657	0	0	0.37	0	1	0	2	0	0	1	0
18	Sven Baertschi	Detroit	LW/RW	82	5	2	7	-4	23	5	21	46	67	5	15	7.46%	1	705	8.61	0	0	0	0	0	0	0	0	0	0	0	1	25.00%	44	0	0	0.20	0	0	0	1	0	0	0	1
19	Colton Parayko	Detroit	D	30	0	5	5	3	26	10	24	18	15	6	2	0.00%	15	414	13.81	0	0	0	1	3	0	0	0	0	12	0	0	0.00%	0	0	0	0.24	0	0	1	0	1	0	0	0
20	Kevin Klein	Detroit	D	36	0	3	3	-6	64	20	49	13	18	0	0	0.00%	17	454	12.62	0	0	0	3	8	0	0	0	0	26	0	0	25.00%	8	0	0	0.13	0	0	2	0	2	0	0	0
21	Tanner Kero	Cougars (Det)	C/LW	12	0	1	1	-4	0	0	4	11	8	0	0	0.00%	2	92	7.74	0	0	0	0	0	0	0	0	0	0	0	0	54.29%	35	0	0	0.22	0	0	0	0	0	0	0	0
22	Brett Connolly	Cougars (Det)	LW/RW	2	0	0	0	0	2	0	6	0	2	0	0	0.00%	0	19	9.88	0	0	0	0	0	0	0	0	0	2	0	0	50.00%	2	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1496	248	446	694	56	1085	175	1501	1525	2284	203	408	10.86%	562	23910	15.98	74	132	206	697	3723	5	9	14	38	2848	49	17	50.25%	6983	2	2	0.58	2	22	9	9	15	37	43	42

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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	Jake Allen	Detroit	72	42	20	9	0.900	2.55	4207	2	7	179	1797	3	0.739	23	70	7	5	3	3
2	Antti Raanta	Detroit	11	5	1	1	0.885	3.17	511	0	2	27	234	0	0.000	0	9	55	2	0	0
3	Antti Niemi	Detroit	3	2	1	0	0.882	2.01	179	0	0	6	51	0	0.000	0	3	1	0	0	0
4	Adam Wilcox	Cougars (Det)	1	0	1	0	0.750	6.86	35	0	0	4	16	0	0.000	0	0	4	0	0	0
5	Niklas Svedberg	Cougars (Det)	1	0	0	0	0.833	5.14	35	0	0	3	18	0	0.000	0	0	14	0	0	0
Stats d'équipe Total ou en Moyenne			88	49	23	10	0.897	2.64	4969	2	9	219	2116	3	0.739	23	82	81	7	3	3

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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
Anton Stralman	Detroit	D	30	1986-08-01	No	190 Lbs	5 ft11	Yes	No	No	3	Sans Restriction	Pro & Farm	3,800,000$