Ligue de hockey Simulée Ste-Flanelle

LA 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	Matt Martin		X			100.00	82	70	62	67	77	55	73	49	35	44	54	58	48	45	42	0	50	56	0
2	Curtis Lazar	X		X		100.00	63	43	90	68	72	59	48	54	54	55	52	63	48	38	35	0	50	56	0
3	Joseph Blandisi	X	X			100.00	59	50	74	71	69	61	42	56	59	56	56	55	45	37	34	0	50	56	0
4	Kenny Agostino (R)		X			100.00	51	35	88	73	69	60	35	58	35	57	58	59	48	37	34	0	50	56	0
5	Dustin Jeffrey	X	X			100.00	49	35	86	72	71	49	33	50	60	46	55	59	47	47	42	0	50	54	0
6	Matt Halischuk		X	X		100.00	52	35	90	69	55	56	47	47	49	48	44	66	47	54	48	0	50	54	0
7	Brandon Tanev (R)		X	X		100.00	69	43	82	75	55	56	45	44	45	41	46	67	48	37	34	0	50	53	0
8	Kyle Connor (R)		X			100.00	46	35	89	77	57	54	37	52	50	50	54	55	48	35	32	0	50	53	0
9	Brendan Leipsic		X	X		100.00	47	35	85	74	46	52	33	39	45	38	40	68	47	35	32	0	50	49	0
10	Bud Holloway			X		100.00	44	35	94	72	66	45	33	33	35	33	33	55	47	35	32	0	50	46	0
11	Jeremy Welsh	X	X			100.00	52	35	72	66	73	47	33	33	35	33	33	55	47	39	36	0	50	46	0
12	Daniel Ciampini		X			100.00	45	45	45	45	57	45	45	45	45	45	45	45	45	32	30	0	50	45	0
13	Mitchell Stephens	X				100.00	45	45	45	45	61	45	45	45	45	45	45	45	45	32	30	0	50	45	0
14	Warren Foegele (R)		X			100.00	41	43	43	43	54	40	40	41	43	41	41	43	42	32	30	0	50	42	0
15	Evgeny Grachev	X	X	X		100.00	31	87	33	42	80	31	40	32	35	32	32	44	46	37	34	0	50	40	0
16	Adam Pelech (R)				X	100.00	62	35	91	65	69	61	43	47	35	46	47	68	48	37	34	0	50	57	0
17	Derrick Pouliot				X	100.00	57	35	88	65	68	63	36	38	35	43	32	69	48	38	37	0	50	55	0
18	Viktor Svedberg				X	100.00	55	35	89	59	85	49	35	42	35	37	47	68	47	35	32	0	50	54	0
19	Philip Larsen				X	100.00	50	35	90	67	58	54	37	45	35	47	43	56	48	47	42	0	50	52	0
20	Andreas Englund (R)				X	100.00	55	35	85	67	62	47	35	31	35	30	32	66	48	35	32	0	50	51	0
21	Marc-Andre Gragnani				X	100.00	47	35	82	63	68	47	33	30	35	29	31	63	47	45	41	0	50	50	0
22	Jesper Lindgren				X	100.00	40	40	40	40	46	40	40	40	40	40	40	40	40	32	30	0	50	41	0
Rayé
1	Matthew Mistele		X			100.00	37	37	37	37	64	37	37	37	37	37	37	37	37	32	30	0	50	39	0
2	Alexander Kerfoot (R)	X				100.00	35	37	37	37	40	35	35	35	37	35	35	37	36	32	30	0	50	37	0
3	Mike Connolly	X	X			100.00	43	90	30	33	54	31	40	32	35	32	32	33	46	35	32	0	50	37	0

	MOYENNE D'ÉQUIPE					100.00	50	43	70	60	63	49	40	42	41	42	43	55	46	38	35	0	50	49

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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	Thomas Heemskerk (R)	100.00	44	45	44	74	44	43	43	43	43	43	42	32	30	0	50	45	0
Rayé
1	Eamon McAdam (R)	100.00	42	43	42	69	42	41	41	41	41	41	40	32	30	0	50	43	0

	MOYENNE D'ÉQUIPE	100.00	43	44	43	72	43	42	42	42	42	42	41	32	30	0	50	44

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Sheldon Keefe	49	84	81	46	64	69	65	CAN	36	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	Joseph Blandisi	Monarchs (LA )	C/LW	82	27	65	92	33	87	45	128	189	231	15	38	11.69%	18	1707	20.83	7	20	27	57	311	1	0	1	8	263	2	0	58.20%	2036	0	1	1.08	1	7	2	3	3	4	2	6
2	Curtis Lazar	Monarchs (LA )	C/RW	82	43	48	91	34	68	20	103	145	275	13	43	15.64%	12	1578	19.25	7	19	26	65	320	1	0	1	15	203	4	4	53.65%	425	0	3	1.15	0	4	1	1	1	7	4	3
3	Kenny Agostino	Monarchs (LA )	LW	77	27	55	82	27	14	0	46	142	260	13	49	10.38%	7	1599	20.78	8	16	24	67	295	0	1	1	6	252	4	3	39.25%	214	0	1	1.03	2	5	0	0	0	3	5	1
4	Adam Pelech	Monarchs (LA )	D	82	28	47	75	17	42	0	110	95	167	11	23	16.77%	85	1882	22.95	16	18	34	94	302	0	1	1	0	234	5	2	0.00%	0	0	0	0.80	0	1	0	0	0	7	4	5
5	Dustin Jeffrey	Monarchs (LA )	C/LW	82	28	47	75	14	10	0	24	135	207	9	47	13.53%	5	1299	15.85	4	18	22	40	262	0	0	0	1	56	8	0	57.37%	1424	0	1	1.15	0	1	0	0	0	2	6	2
6	Matt Martin	Monarchs (LA )	LW	81	35	40	75	29	161	25	259	55	212	7	37	16.51%	8	1383	17.08	8	15	23	57	307	1	0	1	3	129	6	4	48.65%	148	1	1	1.08	2	6	1	3	1	9	6	4
7	Matt Halischuk	Monarchs (LA )	LW/RW	82	22	42	64	14	19	5	26	95	220	17	37	10.00%	8	1323	16.15	7	17	24	65	317	0	0	0	0	1	1	1	61.63%	86	0	0	0.97	0	2	0	0	1	1	2	4
8	Derrick Pouliot	Monarchs (LA )	D	82	16	35	51	26	61	5	107	60	102	9	16	15.69%	70	1725	21.04	11	9	20	58	312	0	2	2	1	243	0	0	0.00%	0	0	0	0.59	1	1	0	1	0	0	2	4
9	Philip Larsen	Monarchs (LA )	D	82	4	41	45	20	48	10	83	47	73	2	18	5.48%	58	1535	18.72	3	10	13	45	215	0	2	2	0	169	0	2	0.00%	0	0	0	0.59	1	1	1	1	0	0	1	5
10	Brandon Tanev	Monarchs (LA )	LW/RW	80	20	23	43	2	90	30	121	107	182	11	31	10.99%	19	1053	13.17	1	4	5	9	76	0	0	0	0	17	1	0	51.56%	64	0	0	0.82	1	1	1	2	3	2	3	1
11	Kyle Connor	Monarchs (LA )	LW	82	17	25	42	-1	17	5	23	91	162	16	34	10.49%	7	912	11.13	1	0	1	1	8	0	1	1	1	24	2	1	48.94%	47	0	0	0.92	0	1	0	0	1	1	2	4
12	Viktor Svedberg	Monarchs (LA )	D	82	16	24	40	32	78	10	86	47	122	6	12	13.11%	80	1621	19.78	8	7	15	43	278	1	0	1	2	206	4	2	0.00%	0	0	0	0.49	0	0	0	1	1	2	1	3
13	Andrej Sustr	LA Kings	D	30	6	24	30	12	8	0	40	31	54	0	0	11.11%	37	703	23.46	4	10	14	32	110	0	0	0	1	97	1	0	0.00%	0	0	1	0.85	0	0	0	0	0	4	1	1
14	Brendan Leipsic	Monarchs (LA )	LW/RW	82	12	14	26	-17	17	5	26	104	126	8	15	9.52%	6	819	9.99	0	1	1	1	9	0	0	0	1	10	3	0	37.78%	45	0	0	0.63	0	0	0	0	1	2	0	1
15	Andreas Englund	Monarchs (LA )	D	82	3	19	22	-9	83	5	106	50	61	4	11	4.92%	79	1287	15.70	0	1	1	10	69	0	0	0	1	68	1	0	0.00%	0	0	0	0.34	1	1	0	0	0	1	2	0
16	Jeremy Welsh	Monarchs (LA )	C/LW	82	5	13	18	-2	42	0	67	84	41	4	9	12.20%	4	957	11.68	0	0	0	0	4	0	0	0	0	5	0	0	46.50%	914	0	0	0.38	0	0	0	0	0	0	0	1
17	Marc-Andre Gragnani	Monarchs (LA )	D	51	3	9	12	-7	14	0	45	21	32	6	7	9.38%	38	785	15.41	0	0	0	2	14	0	0	0	0	66	1	0	0.00%	0	0	0	0.31	0	0	0	0	0	0	0	0
18	Mitchell Stephens	Monarchs (LA )	C	82	4	8	12	-13	47	15	83	42	27	2	6	14.81%	1	566	6.90	0	0	0	0	7	0	0	0	0	8	1	0	47.70%	566	0	0	0.42	0	0	1	1	1	0	0	1
19	Daniel Ciampini	Monarchs (LA )	LW	82	6	5	11	7	8	0	29	9	23	1	2	26.09%	5	330	4.03	2	0	2	10	41	0	0	0	0	65	0	1	53.73%	67	0	0	0.66	0	0	0	0	0	0	0	0
20	Bud Holloway	Monarchs (LA )	RW	65	3	5	8	-13	10	0	8	34	49	4	8	6.12%	4	538	8.28	0	0	0	0	0	0	0	0	0	0	0	0	40.63%	32	0	0	0.30	0	0	0	0	0	0	0	1
21	Alexander Kerfoot	Monarchs (LA )	C	58	0	7	7	-14	11	5	18	24	23	0	0	0.00%	5	432	7.46	0	2	2	5	59	0	0	0	1	53	0	0	43.46%	214	0	0	0.32	0	0	0	0	1	0	0	0
22	Warren Foegele	Monarchs (LA )	LW	82	0	1	1	0	2	0	10	1	3	1	1	0.00%	2	124	1.51	0	1	1	1	38	0	0	0	0	27	0	0	41.67%	24	0	0	0.16	0	0	0	0	0	0	0	0
23	Evgeny Grachev	Monarchs (LA )	C/LW/RW	40	0	0	0	-1	4	0	2	5	2	0	0	0.00%	3	110	2.76	0	0	0	0	17	0	0	0	2	75	0	0	42.62%	61	0	0	0.00	0	0	0	0	0	0	0	0
24	Jesper Lindgren	Monarchs (LA )	D	40	0	0	0	-15	20	0	22	1	3	0	0	0.00%	6	306	7.66	0	0	0	1	32	0	0	0	0	37	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1752	325	597	922	175	961	185	1572	1614	2657	159	444	12.23%	567	24587	14.03	87	168	255	663	3414	4	7	11	43	2316	44	20	53.16%	6367	1	8	0.75	9	31	7	13	14	45	41	47

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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	GA	SA	A	PS %	PSA	ST	BG	S1	S2
1	Anton Forsberg	LA Kings	81	44	29	7	0.854	3.37	4635	6	260	1779	2	0.607	28	81	0	2	2
2	Thomas Heemskerk	Monarchs (LA )	11	2	0	0	0.895	2.54	331	2	14	133	0	0.667	3	1	82	0	0
Stats d'équipe Total ou en Moyenne			92	46	29	7	0.857	3.31	4966	8	274	1912	2	0.613	31	82	82	2	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
Adam Pelech	Monarchs (LA )	D	22	1994-08-16	Yes	210 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	846,000$