Ligue de hockey Simulée Ste-Flanelle

Oil Kings
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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	Tyler Seguin	X		X		98.00	60	43	88	84	69	78	94	80	87	81	79	60	66	57	48	0	50	72	0
2	Aleksander Barkov	X				100.00	58	43	90	76	74	79	78	78	82	79	77	74	87	47	38	0	50	71	0
3	Derick Brassard	X				100.00	60	35	87	76	71	76	94	72	84	74	70	61	47	66	58	0	50	69	0
4	Alex Galchenyuk	X	X			100.00	60	43	86	80	73	75	79	74	78	74	74	60	44	51	43	0	50	68	0
5	Tyler Toffoli			X		100.00	56	35	86	76	69	74	82	71	38	68	73	69	53	48	46	0	50	67	0
6	Riley Nash	X		X		99.00	58	35	89	70	69	67	93	57	83	54	60	73	61	48	43	0	50	63	0
7	Scott Wilson (R)		X	X		100.00	66	50	84	77	56	59	63	55	43	54	56	58	48	40	39	0	50	58	0
8	Colin Greening		X			100.00	63	43	80	67	73	59	41	56	51	51	61	62	44	52	44	0	50	57	0
9	Brendan Perlini (R)		X			100.00	53	35	86	75	74	60	49	57	40	48	66	58	64	35	32	0	50	57	0
10	Jordan Szwarz			X		100.00	48	43	81	66	68	50	32	42	39	32	50	69	46	37	34	0	50	50	0
11	Daniel O'Regan (R)	X				100.00	44	35	95	76	54	53	35	39	50	35	42	58	48	35	32	0	50	49	0
12	Dustin Byfuglien				X	98.00	86	56	63	70	98	89	95	69	40	73	64	80	56	68	61	0	50	75	0
13	Dennis Wideman				X	99.00	61	50	81	71	66	78	71	60	35	62	57	75	48	70	60	0	50	66	0
14	Jaccob Slavin				X	98.00	57	35	90	69	68	77	80	54	35	60	47	89	58	37	34	0	50	66	0
15	Brenden Dillon				X	100.00	87	66	78	63	79	68	86	44	35	45	43	70	48	51	46	0	50	63	0
16	Matt Bartkowski				X	100.00	70	50	76	64	64	65	45	43	35	40	45	67	48	50	46	0	50	57	0
Rayé
1	Brendan Gallagher			X		76.22	57	43	81	79	55	72	77	69	42	68	69	65	56	51	44	0	50	65	0
2	Jonathan Marchessault		X	X		99.00	58	43	83	84	51	70	76	68	78	62	73	57	56	45	39	0	50	64	0
3	Darnell Nurse				X	87.88	72	65	77	66	74	73	63	52	35	49	55	71	48	39	36	0	50	62	0

	MOYENNE D'ÉQUIPE					97.58	62	45	83	73	69	70	70	60	53	58	61	67	54	49	43	0	50	63

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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	Cory Schneider	99.00	83	92	94	77	83	80	82	82	77	70	92	54	49	0	50	76	0
2	Michael Hutchinson	100.00	67	45	79	76	67	62	62	67	62	79	70	43	38	0	50	63	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	75	69	87	77	75	71	72	75	70	75	81	49	44	0	50	70

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Glen Gulutzan	65	80	78	65	77	67	72	CAN	46	4	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	Tyler Seguin	Edmonton	C/RW	74	27	43	70	12	60	0	88	183	244	23	46	11.07%	4	1521	20.55	12	13	25	79	319	0	0	0	6	160	6	1	53.44%	1499	0	1	0.92	1	3	0	0	0	7	2	1
2	Tyler Toffoli	Edmonton	RW	77	32	38	70	15	44	0	71	78	220	13	41	14.55%	8	1406	18.27	11	16	27	77	296	0	0	0	6	183	4	0	27.43%	113	0	1	1.00	0	1	0	0	0	6	4	8
3	Alex Galchenyuk	Edmonton	C/LW	80	22	43	65	10	70	10	89	95	196	19	44	11.22%	4	1555	19.44	3	14	17	48	330	0	0	0	2	147	5	2	49.31%	217	1	0	0.84	1	1	0	1	0	4	3	4
4	Dustin Byfuglien	Edmonton	D	74	18	41	59	-7	218	20	269	108	147	15	31	12.24%	114	1812	24.49	12	11	23	100	325	0	0	0	1	306	3	2	0.00%	0	0	0	0.65	0	0	1	2	1	2	3	5
5	Aleksander Barkov	Edmonton	C	75	24	30	54	-18	35	5	58	156	226	17	39	10.62%	12	1273	16.98	9	14	23	69	288	0	1	1	2	94	2	2	51.50%	1635	0	0	0.85	0	1	0	1	0	1	4	3
6	Brendan Gallagher	Edmonton	RW	79	21	30	51	0	36	0	66	95	150	14	36	14.00%	13	1334	16.90	6	9	15	23	201	0	0	0	6	104	1	1	28.07%	114	0	0	0.76	0	3	0	0	0	2	5	3
7	Derick Brassard	Edmonton	C	73	16	31	47	13	42	0	67	121	149	12	30	10.74%	5	1026	14.07	1	13	14	25	192	1	0	1	3	86	2	2	55.42%	1236	0	0	0.92	1	3	0	0	0	1	3	3
8	Jaccob Slavin	Edmonton	D	82	8	34	42	-3	16	0	18	111	112	8	15	7.14%	123	1969	24.01	2	8	10	55	328	0	0	0	2	402	0	1	0.00%	0	0	0	0.43	0	0	0	0	0	2	0	4
9	Dennis Wideman	Edmonton	D	78	13	28	41	-13	37	5	65	94	96	9	23	13.54%	116	1706	21.87	6	11	17	49	215	0	1	1	3	327	1	1	0.00%	0	0	0	0.48	0	0	0	0	1	1	4	0
10	Jonathan Marchessault	Edmonton	LW/RW	71	18	16	34	0	24	0	82	67	145	8	20	12.41%	8	1267	17.85	4	5	9	43	234	1	0	1	9	210	5	1	54.05%	111	0	1	0.54	0	0	0	0	0	4	3	2
11	Darnell Nurse	Edmonton	D	75	5	17	22	3	96	20	139	58	70	5	22	7.14%	78	1393	18.58	2	3	5	36	230	0	0	0	2	249	3	0	0.00%	0	0	0	0.32	0	0	2	0	2	0	3	2
12	Riley Nash	Edmonton	C/RW	82	9	10	19	1	27	5	62	139	93	11	18	9.68%	16	1163	14.19	2	1	3	7	49	0	0	0	4	357	2	0	52.44%	942	0	0	0.33	0	0	0	0	1	2	0	0
13	Brendan Perlini	Edmonton	LW	76	9	7	16	-1	14	0	29	22	75	3	17	12.00%	4	841	11.08	1	2	3	8	95	0	0	0	0	34	0	2	30.77%	52	0	0	0.38	1	1	0	0	0	0	1	1
14	Brenden Dillon	Edmonton	D	80	0	13	13	1	206	50	174	36	26	2	4	0.00%	69	1277	15.97	0	2	2	6	71	0	0	0	0	148	0	0	0.00%	0	0	0	0.20	0	0	6	1	3	0	0	0
15	Scott Wilson	Edmonton	LW/RW	82	7	3	10	-5	39	5	62	47	60	3	9	11.67%	5	718	8.76	0	0	0	1	10	0	0	0	0	4	0	1	38.10%	42	0	0	0.28	0	0	1	0	0	0	0	0
16	Colin Greening	Edmonton	LW	74	4	4	8	-19	24	0	55	29	66	6	9	6.06%	3	635	8.59	0	1	1	1	14	0	0	0	1	48	1	1	46.03%	63	0	0	0.25	0	0	0	0	0	0	0	1
17	Matt Bartkowski	Edmonton	D	55	2	4	6	-1	90	10	85	15	15	1	5	13.33%	38	716	13.02	0	0	0	0	8	0	2	2	0	37	0	0	0.00%	0	0	0	0.17	0	0	0	0	2	0	1	2
18	Yannick Weber	Oil Kings (Edm)	D	10	0	2	2	-1	4	0	9	3	3	0	0	0.00%	14	166	16.61	0	0	0	1	18	0	0	0	0	8	0	0	0.00%	0	0	0	0.24	0	0	0	0	0	0	0	0
19	Ben Street	Oil Kings (Edm)	C	10	0	1	1	-4	2	0	2	12	3	0	0	0.00%	0	77	7.79	0	0	0	0	1	0	0	0	0	8	0	0	44.87%	78	0	0	0.26	0	0	0	0	0	0	0	0
20	Steve Ott	Oil Kings (Edm)	C/LW	4	0	1	1	-3	12	0	7	7	2	0	0	0.00%	0	46	11.54	0	0	0	0	0	0	0	0	0	0	0	0	57.69%	52	0	0	0.43	0	0	0	0	0	0	0	0
21	Daniel O'Regan	Edmonton	C	56	1	0	1	-17	4	0	4	42	9	2	4	11.11%	2	455	8.13	0	0	0	0	0	0	0	0	0	0	0	0	39.48%	423	0	0	0.04	0	0	0	0	0	0	1	0
22	Vince Dunn	Oil Kings (Edm)	D	11	0	1	1	1	10	0	8	1	0	0	0	0.00%	6	143	13.04	0	0	0	0	1	0	0	0	0	6	0	0	0.00%	0	0	0	0.14	0	0	0	0	0	0	0	0
23	Victor Mete	Oil Kings (Edm)	D	2	0	0	0	1	0	0	1	0	0	0	0	0.00%	1	27	13.74	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
24	Kael Mouillierat	Oil Kings (Edm)	C/LW	1	0	0	0	-1	0	0	0	0	0	0	0	0.00%	0	4	4.07	0	0	0	0	0	0	0	0	0	0	0	0	25.00%	4	0	0	0.00	0	0	0	0	0	0	0	0
25	Jordan Szwarz	Edmonton	RW	21	0	0	0	-8	4	0	2	10	9	0	3	0.00%	2	186	8.87	0	0	0	0	0	0	0	0	0	9	0	0	27.78%	18	0	0	0.00	0	0	0	0	0	0	0	0
26	Radel Fazleev	Oil Kings (Edm)	C/LW	4	0	0	0	0	0	0	1	1	0	0	0	0.00%	0	23	5.95	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	27	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1406	236	397	633	-44	1114	130	1513	1530	2116	171	416	11.15%	645	22750	16.18	71	123	194	628	3238	2	4	6	47	2939	35	17	50.71%	6626	1	3	0.56	4	13	10	5	10	32	37	39

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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	Cory Schneider	Edmonton	73	32	35	3	0.891	3.14	4094	14	1	214	1961	6	0.889	9	68	14	2	6	2
2	Michael Hutchinson	Edmonton	18	5	6	0	0.882	2.99	782	2	1	39	331	0	1.000	3	13	62	1	0	0
3	Jonas Johansson	Oil Kings (Edm)	1	1	0	0	0.933	2.00	60	0	0	2	30	0	0.000	0	1	2	0	0	0
Stats d'équipe Total ou en Moyenne			92	38	41	3	0.890	3.10	4936	16	2	255	2322	6	0.917	12	82	78	3	6	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
Aleksander Barkov	Edmonton	C	21	1995-09-02	No	213 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	925,000$