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	Hunter Shinkaruk (R)		X	X		100.00	51	35	87	73	55	57	35	49	35	48	50	62	48	37	34	0	50	53	0
2	Sergei Plotnikov		X			100.00	68	35	81	65	70	47	40	37	49	41	33	60	47	35	32	0	50	49	0
3	Borna Rendulic (R)		X	X		100.00	54	35	95	67	69	53	35	35	40	35	35	65	48	37	34	0	50	48	0
4	Jean-Sebastien Dea (R)	X		X		100.00	51	35	55	78	52	57	35	35	50	35	35	59	48	35	32	0	50	48	0
5	Mitch Callahan (R)			X		100.00	56	35	95	71	62	47	35	35	35	35	35	66	48	37	34	0	50	48	0
6	Jordan Caron		X	X		100.00	59	43	83	67	71	48	34	33	35	33	33	57	47	49	43	0	50	47	0
7	Alexandre Mallet (R)	X	X			100.00	43	45	45	45	67	42	42	43	45	43	43	45	44	32	30	0	50	45	0
8	Jakub Culek (R)		X			100.00	41	43	43	43	60	40	40	41	43	41	41	43	42	32	30	0	50	43	0
9	Jason Wilson (R)		X			100.00	35	37	37	37	71	35	35	35	37	35	35	37	36	32	30	0	50	39	0
10	Adam Payerl	X		X		100.00	31	85	35	35	76	31	43	32	35	32	32	35	46	35	32	0	50	38	0
11	Stefan Della Rovere		X			100.00	53	93	27	32	68	31	31	32	35	32	32	33	46	35	32	0	50	37	0
12	Anton Lindholm (R)				X	100.00	56	35	90	65	61	52	36	31	35	30	32	72	48	35	32	0	50	52	0
13	Andrew Bodnarchuk				X	100.00	60	35	84	65	63	46	37	34	35	38	31	62	47	35	32	0	50	51	0
14	Gleason Fournier (R)				X	100.00	41	43	43	43	61	40	40	41	43	41	41	43	42	32	30	0	50	43	0
15	Tomas Kundratek				X	100.00	31	80	40	49	66	31	48	32	35	32	32	47	46	37	34	0	50	43	0
16	Kevin Czuczman				X	100.00	31	84	36	45	68	31	52	32	35	32	32	35	46	35	32	0	50	40	0
17	Simon Bourque				X	100.00	37	37	37	37	63	37	37	37	37	37	37	37	37	32	30	0	50	40	0
18	Mark Katic				X	100.00	33	92	28	37	62	31	38	32	35	32	32	33	46	35	32	0	50	38	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	46	52	58	53	65	42	39	36	39	36	36	50	45	35	33	0	50	45

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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	Jared Coreau (R)	100.00	38	45	75	85	37	51	47	36	54	65	87	35	32	0	50	50	0
2	Samu Perhonen (R)	100.00	42	43	42	68	42	41	41	41	41	41	40	32	30	0	50	43	0
Rayé
1	Nicola Riopel	100.00	36	37	36	67	36	35	35	35	35	35	35	32	30	0	50	39	0
2	Henri Kiviaho (R)	100.00	36	37	36	60	36	35	35	35	35	35	35	32	30	0	50	38	0

	MOYENNE D'ÉQUIPE	100.00	38	41	47	70	38	41	40	37	41	44	49	33	31	0	50	43

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Rod Brind'Amour	56	70	70	64	69	70	67	CAN	46	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	Mitch Callahan	Wolf Pack (Ran)	RW	82	35	32	67	-9	20	0	34	192	246	8	32	14.23%	49	1360	16.59	6	8	14	56	237	0	0	0	6	73	2	3	51.92%	104	0	0	0.99	0	2	0	0	0	2	9	1
2	Borna Rendulic	Wolf Pack (Ran)	LW/RW	57	25	41	66	-2	24	0	59	142	193	18	42	12.95%	32	1175	20.62	7	15	22	43	195	1	0	1	5	161	2	0	44.66%	103	0	2	1.12	1	3	0	0	0	4	5	2
3	Jean-Sebastien Dea	Wolf Pack (Ran)	C/RW	68	29	37	66	-11	71	5	142	243	250	10	27	11.60%	41	1243	18.29	9	11	20	66	241	0	0	0	1	20	1	1	49.11%	1456	0	0	1.06	0	0	0	0	0	3	5	4
4	Sergei Plotnikov	Wolf Pack (Ran)	LW	82	18	35	53	-10	77	5	163	176	183	11	24	9.84%	42	1400	17.08	4	6	10	40	236	0	0	0	0	105	0	0	51.76%	199	0	0	0.76	1	3	0	0	0	2	1	6
5	Alexandre Mallet	Wolf Pack (Ran)	C/LW	82	14	25	39	-23	52	10	75	145	110	7	25	12.73%	9	1225	14.94	2	4	6	20	177	0	0	0	0	11	2	1	50.03%	1471	0	0	0.64	0	0	0	1	1	1	0	2
6	Jakub Culek	Wolf Pack (Ran)	LW	82	19	18	37	-22	56	10	90	91	175	3	9	10.86%	12	866	10.57	3	3	6	14	40	0	0	0	0	3	1	0	50.00%	76	0	0	0.85	0	0	0	0	2	4	0	2
7	Andrew Bodnarchuk	Wolf Pack (Ran)	D	38	8	22	30	-11	39	5	64	54	62	9	17	12.90%	54	760	20.01	6	11	17	44	124	0	1	1	0	103	1	1	0.00%	0	0	0	0.79	0	0	0	0	1	1	1	3
8	Gleason Fournier	Wolf Pack (Ran)	D	82	6	22	28	-20	89	5	179	42	60	5	8	10.00%	77	1574	19.20	5	7	12	33	261	0	0	0	0	223	0	1	0.00%	0	0	0	0.36	0	0	0	1	0	1	0	0
9	Jason Wilson	Wolf Pack (Ran)	LW	82	8	20	28	-16	38	0	65	44	75	2	5	10.67%	10	909	11.09	1	3	4	5	39	1	0	1	1	96	1	0	39.24%	79	0	0	0.62	0	0	0	0	0	2	0	2
10	Sonny Milano	Rangers	LW	23	7	16	23	-1	4	0	24	62	66	0	0	10.61%	18	477	20.75	2	5	7	16	68	0	0	0	1	51	0	0	41.72%	151	0	0	0.96	0	3	0	0	0	2	1	1
11	Hunter Shinkaruk	Wolf Pack (Ran)	LW/RW	13	10	8	18	-3	2	0	20	51	46	18	41	21.74%	12	297	22.87	6	3	9	21	51	1	0	1	2	56	2	0	41.80%	189	0	0	1.21	0	0	0	0	0	2	1	0
12	Simon Bourque	Wolf Pack (Ran)	D	82	5	12	17	-21	105	5	175	24	43	0	1	11.63%	65	1436	17.52	2	1	3	21	185	0	2	2	0	238	2	1	0.00%	1	0	0	0.24	0	0	0	0	1	1	3	0
13	Anton Lindholm	Wolf Pack (Ran)	D	18	8	6	14	-5	4	0	19	26	37	10	16	21.62%	22	399	22.18	6	2	8	21	57	0	1	1	0	66	0	1	0.00%	0	0	0	0.70	0	0	0	0	0	1	0	0
14	Adam Payerl	Wolf Pack (Ran)	C/RW	70	4	8	12	-34	49	25	33	62	30	3	6	13.33%	9	852	12.18	1	1	2	3	25	0	0	0	0	5	0	0	40.65%	647	0	0	0.28	0	0	1	0	4	0	0	0
15	Jordan Caron	Wolf Pack (Ran)	LW/RW	33	4	7	11	-18	36	0	31	60	50	4	10	8.00%	18	459	13.93	0	0	0	3	12	0	1	1	0	54	0	0	45.76%	59	1	0	0.48	0	0	0	0	0	1	0	0
16	Tomas Kundratek	Wolf Pack (Ran)	D	38	1	10	11	-6	39	5	45	22	23	4	6	4.35%	34	718	18.90	1	2	3	13	106	0	1	1	1	120	0	0	0.00%	0	0	0	0.31	0	0	0	0	1	0	0	0
17	Kevin Czuczman	Wolf Pack (Ran)	D	82	2	4	6	-20	97	25	134	20	16	0	3	12.50%	52	1447	17.65	0	3	3	8	206	0	0	0	0	203	1	1	0.00%	0	0	0	0.08	0	0	2	2	1	0	0	1
18	Mark Katic	Wolf Pack (Ran)	D	38	1	3	4	3	45	5	47	2	5	0	0	20.00%	18	512	13.50	1	1	2	1	39	0	0	0	0	92	0	0	0.00%	0	0	0	0.16	0	0	0	1	0	0	0	0
19	Joey Laleggia	Rangers	D	7	1	2	3	-7	8	0	13	0	3	0	0	33.33%	2	126	18.01	1	1	2	2	16	0	0	0	0	23	0	0	0.00%	0	0	0	0.48	0	0	0	0	0	0	0	0
20	Stefan Della Rovere	Wolf Pack (Ran)	LW	40	0	2	2	-2	30	10	27	25	3	0	0	0.00%	4	254	6.36	0	0	0	0	21	0	1	1	0	92	0	0	34.81%	181	0	0	0.16	0	0	1	0	0	0	0	1
21	Joel Eriksson Ek	Rangers	C/LW	2	0	1	1	0	4	0	5	2	3	0	2	0.00%	0	42	21.21	0	0	0	1	4	0	0	0	0	15	0	0	64.00%	25	0	0	0.47	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1101	205	331	536	-238	889	115	1444	1485	1679	112	274	12.21%	580	17541	15.93	63	87	150	431	2347	3	7	10	17	1820	15	10	47.12%	4741	1	2	0.61	2	11	4	5	11	27	26	25

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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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jared Coreau	Wolf Pack (Ran)	32	10	19	1	0.859	4.41	1565	2	115	813	2	1	0.750	4	32	0	0	0	1
2	Samu Perhonen	Wolf Pack (Ran)	60	10	32	8	0.877	4.62	3016	4	232	1890	4	2	0.500	12	50	38	2	1	0
Stats d'équipe Total ou en Moyenne			92	20	51	9	0.872	4.54	4582	6	347	2703	6	3	0.563	16	82	38	2	1	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 Payerl	Wolf Pack (Ran)	C/RW	25	1991-03-04	No	218 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	600,000$