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	Tyler Gaudet (R) (A)	X	X			100.00	55	35	95	64	72	62	35	49	53	52	46	75	48	37	34	0	50	55	0
2	Lawson Crouse (R)		X			100.00	73	56	79	71	77	53	51	47	50	44	50	64	48	35	32	0	50	55	0
3	Freddie Hamilton	X	X	X		100.00	63	35	87	68	67	56	38	45	60	38	52	58	48	42	39	0	50	52	0
4	Kyle Rau (R)	X	X			100.00	49	35	89	74	52	55	38	47	45	41	52	64	48	37	34	0	50	52	0
5	Lucas Wallmark (R)	X				100.00	49	35	88	72	53	52	35	46	55	56	35	65	48	35	32	0	50	52	0
6	Michael Zalewski (R)		X			100.00	55	35	86	66	71	53	35	43	45	51	35	64	48	37	34	0	50	51	0
7	Josh Archibald (R)			X		100.00	51	35	85	73	52	54	35	41	35	35	46	65	48	38	37	0	50	50	0
8	Zack Mitchell (R)	X		X		100.00	50	35	95	75	58	49	36	35	64	35	35	57	48	35	32	0	50	47	0
9	Henrik Samuelsson	X	X	X		100.00	47	35	77	65	73	47	31	32	39	32	32	60	46	35	32	0	50	46	0
10	Aleksi Saarela	X				100.00	43	43	43	43	67	43	43	43	43	43	43	43	43	32	30	0	50	44	0
11	Dmitry Zhukenov	X				100.00	40	40	40	40	54	40	40	40	40	40	40	40	40	32	30	0	50	41	0
12	Conor Garland			X		100.00	37	37	37	37	45	37	37	37	37	37	37	37	37	32	30	0	50	39	0
13	Nikita Tryamkin (R)				X	100.00	81	50	73	60	99	61	50	42	35	40	43	73	48	37	34	0	50	60	0
14	Matthew Carle (C)				X	100.00	56	35	87	64	64	65	47	46	35	48	43	67	45	73	64	0	50	59	0
15	Steven Santini (R) (A)				X	100.00	74	35	85	65	68	59	41	44	35	43	45	70	48	37	34	0	50	57	0
16	Kevin Gravel (R)				X	100.00	60	35	91	61	70	55	44	41	35	41	41	73	48	37	34	0	50	56	0
17	Frank Corrado				X	100.00	59	35	73	65	67	53	36	41	35	40	41	66	48	44	41	0	50	54	0
18	Robert Hagg (R)				X	100.00	54	35	95	61	67	59	35	31	35	30	32	78	48	35	32	0	50	54	0
19	Dan Renouf (R)				X	100.00	60	35	95	67	68	50	35	31	35	30	32	69	48	35	32	0	50	53	0
20	Oliver Lauridsen				X	100.00	58	35	30	58	75	40	31	32	35	32	32	67	46	37	34	0	50	50	0
Rayé
1	Korbinian Holzer				X	100.00	70	43	80	64	71	56	42	43	35	43	43	67	48	46	41	0	50	56	0
2	William Lagesson (R)				X	100.00	38	40	40	40	64	37	37	38	40	38	38	40	39	32	30	0	50	41	0
3	Adam Almquist				X	100.00	31	85	35	40	52	31	49	32	35	32	32	44	46	35	32	0	50	40	0
4	Nick Ebert (R)				X	100.00	35	37	37	37	66	35	35	35	37	35	35	37	36	32	30	0	50	39	0
5	Gustav Bouramman				X	100.00	37	37	37	37	57	37	37	37	37	37	37	37	37	32	30	0	50	39	0
6	Mattias Backman (R)				X	100.00	35	37	37	37	51	35	35	35	37	35	35	37	36	32	30	0	50	38	0

	MOYENNE D'ÉQUIPE					100.00	52	40	69	58	65	49	39	40	41	40	40	58	45	37	34	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	Laurent Brossoit (R)	100.00	49	45	68	77	48	48	51	47	45	65	45	38	35	0	50	51	0
2	Matthew O'Connor	100.00	44	45	53	79	44	43	43	44	43	62	60	35	32	0	50	48	0
Rayé
1	Zane McIntyre (R)	100.00	32	45	63	77	35	45	45	35	45	65	45	35	32	0	50	46	0
2	Ville Husso (R)	100.00	39	40	39	77	39	38	38	38	38	38	37	32	30	0	50	42	0

	MOYENNE D'ÉQUIPE	100.00	41	44	56	78	42	44	44	41	43	58	47	35	32	0	50	47

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Stevens	70	80	70	72	97	83	79	CAN	51	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	Tyler Gaudet	Baby Hawks (Chi)	C/LW	59	28	46	74	19	8	0	23	117	222	22	42	12.61%	12	1112	18.86	4	22	26	58	244	1	0	1	3	76	6	1	53.38%	1272	0	0	1.33	1	2	0	0	0	8	3	4
2	Lawson Crouse	Baby Hawks (Chi)	LW	82	29	38	67	23	125	45	203	99	236	11	33	12.29%	6	1393	16.99	13	11	24	64	308	0	0	0	2	35	4	1	50.98%	102	0	0	0.96	4	10	5	1	2	4	7	3
3	Kyle Rau	Baby Hawks (Chi)	C/LW	82	40	23	63	16	39	15	63	106	217	18	32	18.43%	5	1162	14.18	11	5	16	45	208	1	1	2	7	141	6	5	46.11%	180	1	2	1.08	0	0	0	0	3	7	4	4
4	Matthew Carle	Baby Hawks (Chi)	D	82	11	51	62	10	11	5	21	72	148	15	18	7.43%	38	1571	19.16	6	19	25	92	346	0	0	0	0	32	4	1	0.00%	0	0	0	0.79	0	0	1	0	0	2	2	6
5	Lucas Wallmark	Baby Hawks (Chi)	C	82	15	46	61	5	25	5	40	173	139	10	27	10.79%	7	1281	15.63	3	20	23	19	248	0	1	1	1	73	0	1	56.15%	1375	1	0	0.95	0	0	0	0	1	1	2	5
6	Freddie Hamilton	Baby Hawks (Chi)	C/LW/RW	82	15	42	57	30	73	15	130	64	130	7	15	11.54%	5	1404	17.13	3	14	17	31	328	0	0	0	0	8	2	1	53.67%	477	0	0	0.81	1	2	0	1	1	1	5	2
7	Josh Archibald	Baby Hawks (Chi)	RW	82	24	29	53	3	31	5	70	76	190	10	30	12.63%	4	1310	15.98	8	11	19	44	312	0	0	0	0	38	3	1	35.35%	99	0	2	0.81	0	0	1	0	0	2	3	5
8	Steven Santini	Baby Hawks (Chi)	D	82	19	34	53	11	78	0	136	71	137	10	16	13.87%	76	1501	18.31	12	10	22	83	308	1	0	1	2	221	1	1	0.00%	0	0	0	0.71	0	0	0	0	0	0	3	6
9	Nikita Tryamkin	Baby Hawks (Chi)	D	81	15	35	50	10	172	30	197	64	119	13	21	12.61%	72	1506	18.60	9	13	22	71	265	0	1	1	0	75	2	4	0.00%	0	0	0	0.66	0	0	1	0	4	1	4	2
10	Kevin Gravel	Baby Hawks (Chi)	D	82	10	34	44	13	33	5	29	62	119	7	13	8.40%	66	1469	17.93	8	13	21	73	285	0	1	1	3	219	1	1	0.00%	0	0	0	0.60	0	0	0	0	1	1	0	5
11	Frank Corrado	Baby Hawks (Chi)	D	82	10	22	32	11	70	10	91	47	70	3	7	14.29%	48	1043	12.72	3	4	7	28	98	0	1	1	0	98	1	2	0.00%	0	0	0	0.61	0	0	0	0	2	3	2	2
12	Michael Zalewski	Baby Hawks (Chi)	LW	82	11	16	27	0	40	0	53	112	112	8	16	9.82%	12	1071	13.07	0	1	1	5	20	0	1	1	3	176	4	2	53.21%	109	0	0	0.50	0	0	0	0	0	1	1	1
13	Robert Hagg	Baby Hawks (Chi)	D	82	12	13	25	9	19	5	26	51	63	4	8	19.05%	67	1052	12.83	0	0	0	0	4	0	1	1	3	203	2	0	0.00%	0	0	0	0.48	0	0	0	0	1	3	1	2
14	Zack Mitchell	Baby Hawks (Chi)	C/RW	82	5	20	25	0	18	0	25	61	77	4	9	6.49%	8	952	11.62	1	3	4	6	67	0	0	0	0	3	2	0	71.43%	63	0	0	0.52	0	0	0	0	0	1	0	2
15	Dan Renouf	Baby Hawks (Chi)	D	82	5	17	22	12	10	0	22	47	36	1	5	13.89%	67	908	11.08	1	1	2	7	26	1	1	2	1	291	0	0	0.00%	0	0	0	0.48	0	0	0	0	0	1	0	2
16	Henrik Samuelsson	Baby Hawks (Chi)	C/LW/RW	82	10	11	21	0	20	0	33	55	86	5	14	11.63%	17	915	11.17	0	0	0	1	6	1	1	2	8	249	0	0	40.00%	130	0	0	0.46	0	0	0	0	0	1	0	2
17	Oliver Lauridsen	Baby Hawks (Chi)	D	71	2	10	12	13	71	5	118	41	23	0	4	8.70%	36	718	10.12	0	1	1	0	2	0	1	1	1	194	1	0	0.00%	0	0	0	0.33	0	0	1	0	0	1	1	0
18	Matt Stajan	Chicago	C	6	3	8	11	4	2	0	6	17	25	0	0	12.00%	3	126	21.06	1	3	4	9	26	0	1	1	1	18	1	0	64.64%	181	0	0	1.74	0	1	0	0	0	2	2	0
19	Aleksi Saarela	Baby Hawks (Chi)	C	77	5	3	8	-5	90	20	113	74	42	0	0	11.90%	2	955	12.41	1	0	1	2	21	1	0	1	6	108	0	0	49.51%	917	0	0	0.17	0	0	1	0	3	0	1	1
20	Dmitry Zhukenov	Baby Hawks (Chi)	C	77	2	5	7	7	46	10	76	82	23	0	3	8.70%	5	891	11.57	1	0	1	2	40	0	0	0	4	246	0	0	44.33%	1049	0	0	0.16	0	0	0	0	2	1	0	0
21	Korbinian Holzer	Baby Hawks (Chi)	D	11	1	2	3	2	23	5	11	9	8	0	0	12.50%	7	159	14.50	0	1	1	3	22	0	0	0	0	20	0	0	0.00%	0	0	0	0.38	0	0	0	0	0	0	1	0
22	Conor Garland	Baby Hawks (Chi)	RW	59	0	2	2	3	17	5	55	6	9	1	0	0.00%	2	609	10.33	0	0	0	0	21	0	1	1	0	95	0	0	58.06%	31	0	0	0.07	0	1	0	0	0	0	0	0
23	Mattias Backman	Baby Hawks (Chi)	D	1	0	1	1	-1	0	0	1	0	0	0	0	0.00%	0	8	8.90	0	1	1	0	1	0	0	0	0	0	0	0	0.00%	1	0	0	2.25	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1590	272	508	780	195	1021	185	1542	1506	2231	149	313	12.19%	565	23128	14.55	85	153	238	643	3217	6	12	18	45	2629	40	21	51.55%	5986	2	4	0.67	6	16	10	2	20	41	42	54

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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	Laurent Brossoit	Baby Hawks (Chi)	82	49	24	3	0.872	3.01	4664	8	4	234	1833	2	1	0.818	22	82	0	3	1	1
2	Matthew O'Connor	Baby Hawks (Chi)	4	1	1	0	0.889	2.11	114	0	0	4	36	0	0	0.000	0	0	49	0	0	0
Stats d'équipe Total ou en Moyenne			86	50	25	3	0.873	2.99	4778	8	4	238	1869	2	1	0.818	22	82	49	3	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 Almquist	Baby Hawks (Chi)	D	25	1991-02-27	No	174 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	620,000$