Ligue de hockey Simulée Ste-Flanelle

Buffalo
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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	Ryan Garbutt	X	X			100.00	60	43	79	69	66	59	48	50	39	45	54	64	45	48	43	0	50	55	0
2	Joe Vitale	X				100.00	50	43	78	65	70	51	41	45	86	43	46	64	47	51	45	0	50	53	0
3	Michael Dal Colle (R)		X			100.00	52	55	54	54	57	51	51	52	54	52	52	55	53	32	30	0	50	51	0
4	Joey Hishon	X				100.00	44	35	93	73	49	44	32	44	45	40	47	57	46	35	32	0	50	49	0
5	Akim Aliu			X		100.00	69	87	33	47	80	31	46	32	35	32	32	53	46	37	34	0	50	43	0
6	Mackenzie MacEachern (R)		X			100.00	41	43	43	43	56	40	40	41	43	41	41	43	42	32	30	0	50	43	0
7	Austin Wuthrich (R)			X		100.00	38	40	40	40	63	37	37	38	40	38	38	40	39	32	30	0	50	41	0
8	Eric Wellwood		X			100.00	31	86	34	49	55	31	45	32	35	32	32	55	46	41	38	0	50	41	0
9	Jamie Devane		X			100.00	31	85	35	35	76	31	39	32	35	32	32	35	46	35	32	0	50	38	0
10	Joonas Nattinen	X				100.00	31	85	35	35	66	31	34	32	35	32	32	35	46	35	32	0	50	37	0
11	Olli Jokinen	X				100.00	19	20	20	20	20	19	19	19	20	19	19	20	20	76	65	0	50	27	0
12	Chris Butler				X	100.00	58	43	83	64	64	70	36	38	40	37	39	72	48	57	49	0	50	57	0
13	Seth Helgeson				X	100.00	63	50	65	60	70	61	36	42	35	37	47	73	48	37	34	0	50	55	0
14	Jarred Tinordi				X	100.00	61	56	59	59	80	57	35	32	35	34	31	65	47	42	39	0	50	53	0
15	Alex Grant				X	100.00	53	43	63	63	68	46	33	30	35	29	31	72	47	35	32	0	50	51	0
16	Ryan Johnston (R)				X	100.00	51	35	83	74	54	52	35	31	35	30	32	63	48	37	34	0	50	51	0
17	Jesse Blacker				X	100.00	45	35	93	64	61	35	31	32	35	32	32	65	46	35	32	0	50	49	0
18	Patrick McNally (R)				X	100.00	38	40	40	40	56	37	37	38	40	38	38	40	39	32	30	0	50	41	0
19	Matthew Konan				X	100.00	31	87	33	33	61	31	44	32	35	32	32	33	46	35	32	0	50	37	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	46	53	56	52	62	43	38	36	40	36	37	53	44	40	36	0	50	46

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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	Adam Morrison (R)	100.00	42	43	42	72	42	41	41	41	41	41	40	32	30	0	50	44	0
2	Connor Knapp	100.00	41	45	45	79	41	40	40	41	39	39	38	35	32	0	50	44	0
Rayé
1	Callum Booth	100.00	40	40	40	69	40	40	40	40	40	40	40	32	30	0	50	42	0
2	Mike Lee (R)	100.00	39	40	39	69	39	38	38	38	38	38	37	32	30	0	50	41	0

	MOYENNE D'ÉQUIPE	100.00	41	42	42	72	41	40	40	40	40	40	39	33	31	0	50	43

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Chadd Cassidy	49	51	65	50	65	61	57	USA	44	1	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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Joey Hishon	Crunch (Buf)	C	82	30	32	62	-36	6	0	25	251	305	19	33	9.84%	45	1524	18.59	6	5	11	47	139	1	3	4	9	277	4	2	44.28%	1827	0	0.81	2	3	0	0	0	3	5	2
2	Milan Michalek	Buffalo	LW/RW	39	31	29	60	16	29	5	34	65	180	0	0	17.22%	5	763	19.58	8	14	22	47	169	2	0	2	3	58	6	5	49.46%	93	2	1.57	3	6	0	0	1	5	7	2
3	Mackenzie MacEachern	Crunch (Buf)	LW	82	30	28	58	-3	77	25	128	87	194	7	11	15.46%	23	1440	17.56	8	7	15	45	232	0	0	0	4	114	2	0	41.09%	129	0	0.81	0	2	2	1	2	3	4	2
4	Eric Wellwood	Crunch (Buf)	LW	82	20	32	52	-19	130	50	125	95	175	4	7	11.43%	26	1270	15.50	0	3	3	7	65	0	0	0	0	41	3	0	35.86%	145	0	0.82	1	1	1	1	8	5	4	2
5	Vernon Fiddler	Buffalo	C/LW	39	23	29	52	9	34	20	31	138	164	0	0	14.02%	25	832	21.35	8	9	17	43	141	0	1	1	10	191	1	1	71.50%	1158	0	1.25	0	6	2	0	1	5	4	2
6	Jesse Blacker	Crunch (Buf)	D	82	6	45	51	-31	35	5	46	130	111	4	10	5.41%	148	1357	16.55	3	6	9	51	105	0	0	0	1	124	0	1	100.00%	1	0	0.75	1	1	0	0	1	1	3	3
7	Joe Vitale	Crunch (Buf)	C	46	20	25	45	-19	21	5	28	141	128	21	45	15.63%	16	916	19.92	11	13	24	40	120	0	0	0	6	174	2	2	66.29%	792	0	0.98	1	7	0	1	0	2	2	4
8	Chris Butler	Crunch (Buf)	D	42	14	30	44	-17	36	0	48	78	97	18	38	14.43%	89	996	23.72	9	15	24	48	140	0	0	0	1	167	1	1	0.00%	1	0	0.88	0	1	0	0	0	4	0	1
9	Austin Wuthrich	Crunch (Buf)	RW	82	14	28	42	0	52	10	107	46	147	2	12	9.52%	13	1354	16.52	4	4	8	25	234	0	0	0	0	17	1	1	57.29%	96	0	0.62	1	1	1	0	0	1	1	3
10	Ryan Garbutt	Crunch (Buf)	C/LW	46	19	17	36	-9	10	0	67	135	192	22	66	9.90%	14	1045	22.72	3	8	11	35	150	0	0	0	7	181	3	1	46.19%	1208	0	0.69	3	7	0	0	0	2	2	2
11	Michael Dal Colle	Crunch (Buf)	LW	42	17	19	36	0	18	0	48	66	127	9	44	13.39%	9	810	19.31	6	9	15	29	136	1	0	1	4	112	1	2	43.71%	167	0	0.89	1	4	0	0	0	2	1	0
12	Jarred Tinordi	Crunch (Buf)	D	42	4	24	28	-23	68	0	114	48	48	10	14	8.33%	63	867	20.66	1	13	14	31	128	0	0	0	0	138	0	1	0.00%	1	0	0.65	0	0	0	0	0	1	1	1
13	Seth Helgeson	Crunch (Buf)	D	31	9	16	25	-14	41	5	74	40	65	4	9	13.85%	38	628	20.26	6	9	15	35	85	0	0	0	1	114	0	0	0.00%	3	0	0.80	1	1	0	0	1	1	2	3
14	Akim Aliu	Crunch (Buf)	RW	62	10	13	23	-12	128	20	216	55	90	5	10	11.11%	18	1001	16.15	4	5	9	30	187	0	0	0	3	51	0	0	41.45%	152	0	0.46	0	1	3	0	0	0	0	3
15	Alex Grant	Crunch (Buf)	D	64	5	18	23	-2	54	0	76	55	58	3	7	8.62%	72	1214	18.97	3	1	4	14	61	0	0	0	0	200	2	0	0.00%	0	0	0.38	0	0	0	0	0	1	0	2
16	Ryan Johnston	Crunch (Buf)	D	42	3	16	19	-19	20	0	35	80	51	11	10	5.88%	44	859	20.47	2	8	10	29	122	0	0	0	0	146	0	0	100.00%	1	0	0.44	0	0	0	0	0	0	0	1
17	Patrick McNally	Crunch (Buf)	D	82	3	12	15	-29	152	10	244	33	33	1	3	9.09%	57	1347	16.43	2	3	5	13	88	0	0	0	0	145	0	0	0.00%	0	0	0.22	0	0	1	0	1	0	0	0
18	TJ Brennan	Buffalo	D	9	2	3	5	2	10	0	14	12	14	0	0	14.29%	10	187	20.87	1	1	2	6	35	0	0	0	0	19	0	1	0.00%	0	0	0.53	0	0	0	0	0	0	1	0
19	Jamie Devane	Crunch (Buf)	LW	42	2	1	3	-27	49	15	62	5	8	2	2	25.00%	2	619	14.75	0	0	0	0	33	0	0	0	0	3	0	1	47.83%	23	0	0.10	0	0	1	0	2	0	0	1
20	Matthew Konan	Crunch (Buf)	D	42	0	1	1	-8	12	0	26	4	2	0	1	0.00%	6	376	8.96	0	0	0	0	29	0	0	0	0	60	0	0	41.18%	17	0	0.05	0	0	0	0	0	0	0	0
21	Olli Jokinen	Crunch (Buf)	C	42	0	1	1	-18	12	0	18	28	0	0	0	0.00%	0	423	10.07	0	1	1	0	23	0	0	0	0	32	0	0	27.85%	219	0	0.05	0	0	0	0	0	0	0	0
22	Joonas Nattinen	Crunch (Buf)	C	10	0	0	0	-3	2	0	4	7	0	0	2	0.00%	1	94	9.47	0	0	0	0	4	0	0	0	0	28	0	0	41.67%	84	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1132	262	419	681	-262	996	170	1570	1599	2189	142	324	11.97%	724	19932	17.61	85	134	219	575	2437	4	4	8	49	2400	26	19	51.95%	6117	2	0.68	14	41	11	3	17	36	37	34

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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	Adam Morrison	Crunch (Buf)	41	14	24	3	0.868	4.11	2235	0	2	153	1163	2	1	0.864	22	41	0	2	0	0
2	Connor Knapp	Crunch (Buf)	49	14	17	2	0.869	4.84	2219	2	0	179	1369	4	0	0.571	7	40	41	2	1	2
Stats d'équipe Total ou en Moyenne			90	28	41	5	0.869	4.47	4454	2	2	332	2532	6	1	0.793	29	81	41	4	1	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 Morrison	Crunch (Buf)	G	25	1991-02-09	Yes	194 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	700,000$