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	Max Pacioretty		X			100.00	62	35	84	80	75	79	95	79	54	77	80	69	52	60	52	0	50	73	0
2	Derek Stepan	X				99.00	53	43	89	78	67	77	92	75	81	78	72	73	55	63	53	0	50	71	0
3	Ryan Johansen	X				100.00	63	50	78	79	76	78	95	75	87	82	67	65	41	52	44	0	50	70	0
4	Taylor Hall		X			100.00	63	43	83	78	69	78	92	76	38	79	73	63	61	53	44	0	50	70	0
5	Cam Atkinson			X		100.00	52	35	87	84	54	76	95	73	35	68	77	70	66	49	44	0	50	69	0
6	Radek Faksa	X				100.00	62	50	77	70	73	66	69	60	82	58	61	74	48	37	34	0	50	62	0
7	Josh Leivo		X	X		100.00	56	35	86	73	71	59	36	67	50	70	64	61	48	42	38	0	50	61	0
8	Matt Nieto		X	X		100.00	55	35	90	72	61	64	59	54	35	46	62	72	48	50	41	0	50	59	0
9	Colton Sissons	X	X	X		100.00	68	43	88	68	69	56	49	50	84	41	58	76	48	40	37	0	50	57	0
10	Kevin Fiala (R)		X	X		100.00	57	35	86	75	63	60	46	54	35	44	63	61	48	38	35	0	50	56	0
11	Cristoval Nieves (R)	X	X			100.00	48	35	95	65	76	53	35	35	35	35	35	54	48	35	32	0	50	47	0
12	Victor Hedman				X	100.00	68	43	81	75	77	84	94	71	35	80	62	82	45	62	53	0	50	73	0
13	Roman Josi				X	100.00	60	50	86	80	66	86	91	70	35	77	62	87	56	54	46	0	50	72	0
14	Adam Larsson				X	99.00	83	56	77	66	71	78	94	50	35	53	47	85	48	52	44	0	50	68	0
15	Jonas Brodin				X	100.00	59	35	87	72	62	77	84	52	35	57	47	79	56	51	44	0	50	65	0
16	Josh Manson				X	100.00	79	65	72	66	71	69	71	50	35	43	57	81	48	39	36	0	50	64	0
17	Ivan Provorov (R)				X	100.00	60	35	85	76	66	60	57	50	35	53	47	80	48	35	32	0	50	61	0
Rayé
1	Anthony Mantha (R)		X	X		88.88	56	56	76	72	78	62	48	64	43	60	68	63	48	37	34	0	50	61	0
2	Anton Slepyshev (R)		X	X		75.30	59	35	92	68	75	56	43	50	67	48	52	64	48	39	36	0	50	55	0
3	Luke Schenn				X	100.00	94	66	70	63	78	72	91	45	40	47	43	76	48	59	49	0	50	66	0
4	Slava Voynov				X	100.00	57	43	81	60	62	68	43	50	35	58	43	74	46	52	49	0	50	59	0

	MOYENNE D'ÉQUIPE					98.14	63	44	83	72	70	69	70	60	48	60	59	72	50	48	42	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	Mike Condon	98.00	85	54	95	73	84	82	82	82	81	65	93	38	35	0	50	72	0
2	Philipp Grubauer	100.00	79	45	82	66	80	79	74	81	83	65	87	43	41	0	50	69	0
Rayé
1	Connor Hellebuyck	100.00	66	57	87	79	67	68	66	68	70	73	89	37	34	0	50	65	0

	MOYENNE D'ÉQUIPE	99.33	77	52	88	73	77	76	74	77	78	68	90	39	37	0	50	69

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Tortorella	87	92	89	88	99	99	92	USA	59	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	Victor Hedman	Calgary	D	70	16	58	74	0	74	0	98	82	118	13	29	13.56%	68	1530	21.86	12	21	33	90	334	0	1	1	0	101	4	0	0.00%	0	0	0	0.97	0	0	0	0	0	2	8	2
2	Roman Josi	Calgary	D	71	20	53	73	7	28	0	50	91	135	13	26	14.81%	70	1545	21.76	15	16	31	98	340	0	0	0	0	183	1	1	0.00%	0	0	0	0.94	0	0	0	0	0	4	5	2
3	Derek Stepan	Calgary	C	82	25	45	70	14	39	15	49	151	239	12	37	10.46%	5	1531	18.68	7	19	26	77	328	0	0	0	2	108	5	4	51.95%	1846	0	0	0.91	1	1	0	1	2	11	4	3
4	Cam Atkinson	Calgary	RW	82	28	40	68	17	10	0	54	105	277	20	41	10.11%	5	1494	18.22	9	17	26	67	378	0	0	0	1	5	7	4	28.42%	95	0	0	0.91	1	1	0	0	0	3	3	6
5	Max Pacioretty	Calgary	LW	78	35	33	68	7	61	5	125	87	254	12	49	13.78%	8	1375	17.64	10	16	26	83	317	0	0	0	0	11	6	5	41.53%	118	1	0	0.99	3	4	0	0	0	5	6	4
6	Ryan Johansen	Calgary	C	82	20	45	65	2	77	5	119	156	176	11	32	11.36%	2	1481	18.07	3	20	23	36	375	0	0	0	0	8	4	0	52.88%	1804	0	0	0.88	1	3	0	1	0	3	4	6
7	Taylor Hall	Calgary	LW	82	30	33	63	2	73	5	148	96	214	7	37	14.02%	10	1465	17.88	8	17	25	60	382	0	0	0	0	1	6	2	37.17%	113	0	0	0.86	1	5	0	0	1	3	6	3
8	Adam Larsson	Calgary	D	82	10	20	30	-8	197	45	208	75	80	5	8	12.50%	104	1837	22.41	8	6	14	45	311	1	0	1	1	300	0	1	0.00%	0	0	0	0.33	0	0	1	4	4	1	1	1
9	Jonas Brodin	Calgary	D	81	10	18	28	-17	38	0	37	68	67	2	7	14.93%	69	1554	19.19	6	4	10	29	168	0	0	0	0	255	1	0	0.00%	0	0	0	0.36	0	1	0	0	0	1	3	1
10	Anthony Mantha	Calgary	LW/RW	81	9	13	22	-7	44	0	59	38	69	3	17	13.04%	4	1147	14.16	2	5	7	17	211	0	0	0	1	69	1	1	37.78%	90	0	0	0.38	0	0	0	0	0	0	0	1
11	Radek Faksa	Calgary	C	79	8	9	17	-13	42	0	88	137	98	7	21	8.16%	7	1004	12.72	0	0	0	4	36	1	0	1	7	214	1	2	48.43%	1053	0	0	0.34	0	0	0	0	0	1	2	2
12	Ivan Provorov	Calgary	D	54	4	11	15	5	44	0	47	38	46	0	3	8.70%	29	1051	19.47	2	3	5	25	184	0	1	1	1	85	0	0	0.00%	0	0	0	0.29	0	0	0	0	0	0	0	0
13	Josh Manson	Calgary	D	78	4	10	14	-20	152	40	140	45	63	4	15	6.35%	76	1349	17.30	3	3	6	20	94	0	0	0	1	257	0	0	0.00%	0	0	0	0.21	0	0	2	3	3	0	0	1
14	Colton Sissons	Calgary	C/LW/RW	82	3	7	10	-9	22	0	56	109	57	4	12	5.26%	14	896	10.93	0	0	0	0	1	0	2	2	1	408	0	1	51.33%	1241	0	0	0.22	0	0	0	0	0	0	0	2
15	Kevin Fiala	Calgary	LW/RW	52	6	3	9	0	18	0	23	14	35	5	7	17.14%	3	505	9.72	0	0	0	0	4	0	0	0	0	0	1	0	31.03%	29	0	1	0.36	0	0	0	0	0	2	0	1
16	Matt Nieto	Calgary	LW/RW	50	4	5	9	-1	4	0	13	32	51	4	15	7.84%	4	571	11.43	0	0	0	0	0	0	0	0	3	120	0	0	34.38%	32	0	0	0.31	0	0	0	0	0	0	2	1
17	Josh Leivo	Calgary	LW/RW	59	2	6	8	-11	10	0	15	32	53	1	1	3.77%	1	393	6.66	0	0	0	0	4	0	0	0	0	0	0	0	39.29%	28	0	0	0.41	0	0	0	0	0	0	2	0
18	Slava Voynov	Calgary	D	17	0	5	5	7	12	0	17	10	4	0	0	0.00%	9	288	16.97	0	1	1	2	59	0	0	0	1	11	0	0	0.00%	0	0	0	0.35	0	0	0	0	0	0	0	0
19	Luke Schenn	Calgary	D	26	1	3	4	19	98	40	70	9	9	2	4	11.11%	21	409	15.74	0	0	0	0	5	0	0	0	0	68	1	0	0.00%	0	0	0	0.20	0	0	2	4	2	0	0	1
20	Anton Slepyshev	Calgary	LW/RW	37	1	1	2	-7	0	0	14	11	23	4	8	4.35%	4	390	10.56	0	0	0	0	9	0	1	1	0	171	0	0	50.00%	20	0	0	0.10	0	0	0	0	0	0	0	0
21	Daniel Paille	Heat (Cal)	LW	2	0	0	0	-1	0	0	2	1	2	0	0	0.00%	0	22	11.06	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	2	0	0	0.00	0	0	0	0	0	0	0	0
22	Cristoval Nieves	Calgary	C/LW	24	0	0	0	-7	0	0	1	1	1	0	1	0.00%	1	154	6.43	0	0	0	0	1	0	0	0	0	7	0	0	28.57%	7	0	0	0.00	0	0	0	0	0	0	0	0
23	Brett Kulak	Heat (Cal)	D	3	0	0	0	0	2	0	2	3	1	0	0	0.00%	2	41	13.97	0	0	0	0	2	0	0	0	0	4	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
24	Tyler Motte	Heat (Cal)	C/LW/RW	5	0	0	0	0	0	0	0	3	4	0	0	0.00%	0	25	5.19	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1359	236	418	654	-21	1045	155	1435	1394	2076	129	370	11.37%	516	22068	16.24	85	148	233	653	3554	2	5	7	19	2398	38	21	50.25%	6480	1	1	0.59	7	15	5	13	12	36	46	37

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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	S2	S3
1	Mike Condon	Calgary	41	19	12	5	0.911	2.44	2286	0	1	93	1048	2	0	0.600	5	38	23	2	3	1
2	Connor Hellebuyck	Calgary	49	17	23	4	0.878	3.28	2671	2	1	146	1192	3	2	0.667	15	44	21	2	1	0
3	Philipp Grubauer	Calgary	18	5	8	1	0.877	2.81	855	0	0	40	325	1	0	0.667	3	13	56	0	0	0
Stats d'équipe Total ou en Moyenne			108	41	43	10	0.891	2.88	5812	2	2	279	2565	6	2	0.652	23	95	100	4	4	1

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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
Adam Larsson	Calgary	D	23	1992-11-12	No	215 Lbs	6 ft3	No	No	No	5	Avec Restriction	Pro & Farm	2,750,000$