Ligue de hockey Simulée Ste-Flanelle

Crunch
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Stats d'équipe en Carrière
Client Web pour Formation
Client Web pour Lignes

Afficher ou Masquer des Colonnes

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	P.A. Parenteau		X	X		98.00	57	43	80	76	69	70	86	64	35	60	68	54	49	58	50	0	50	63	0
2	Milan Michalek		X	X		99.00	54	35	85	64	79	70	45	63	35	59	66	63	56	72	63	0	50	62	0
3	Joakim Nordstrom		X	X		100.00	71	43	89	70	62	66	92	54	35	48	60	76	45	47	41	0	50	61	0
4	Matthew Tkachuk (R)		X			100.00	57	50	65	81	70	56	53	66	38	69	62	61	48	35	33	0	50	61	0
5	Devin Shore (R)	X	X	X		99.00	53	35	90	73	71	65	66	60	73	59	60	60	45	37	34	0	50	60	0
6	Joonas Donskoi		X	X		100.00	52	35	89	73	62	67	75	61	35	59	62	59	53	40	37	0	50	60	0
7	Vernon Fiddler	X	X			99.00	54	50	75	69	70	64	80	50	86	45	54	71	56	71	61	0	50	60	0
8	Pavel Zacha (R)	X	X			100.00	57	35	87	70	73	67	50	56	74	55	56	58	45	37	34	0	50	57	0
9	Boyd Gordon	X				100.00	47	35	90	67	69	60	50	47	90	43	50	67	48	70	62	0	50	56	0
10	Jacob De La Rose	X	X			98.00	58	35	85	65	75	62	43	42	47	41	42	68	48	39	36	0	50	52	0
11	Clayton Keller (R)	X	X			96.00	42	35	95	77	48	54	35	38	35	40	35	50	48	35	32	0	50	47	0
12	Ryan Suter				X	99.00	71	50	84	71	68	90	95	65	35	72	57	88	45	72	62	0	50	73	0
13	Mattias Ekholm				X	98.00	63	35	84	64	72	79	95	55	35	59	51	84	56	48	45	0	50	67	0
14	Jonathan Ericsson				X	100.00	74	56	71	61	74	73	71	48	35	50	45	79	48	65	58	0	50	64	0
15	Stephane Robidas				X	100.00	73	43	78	63	60	60	58	42	35	43	41	84	46	75	65	0	50	63	0
16	Eric Gryba				X	100.00	88	66	61	62	77	69	62	46	35	47	45	71	48	48	42	0	50	61	0
17	TJ Brennan				X	100.00	58	35	72	65	71	61	37	46	35	38	52	73	47	42	38	0	50	57	0
18	Anthony DeAngelo (R)				X	100.00	55	35	74	80	56	59	45	53	44	51	55	60	56	35	32	0	50	56	0
Rayé
1	Patrick Kane (A)			X		S2	49	35	85	92	53	82	94	84	41	85	83	62	52	73	68	0	50	75	0
2	Devante Smith-Pelly		X	X		71.07	69	35	87	68	74	68	73	57	38	52	61	67	56	50	45	0	50	61	0
3	Roman Horak	X	X			100.00	31	84	36	59	50	31	50	32	35	32	32	62	46	43	36	0	50	44	0
4	Jordie Benn				X	76.89	67	43	85	67	66	71	79	50	35	50	49	78	45	48	44	0	50	63	0

	MOYENNE D'ÉQUIPE					96.95	59	43	79	70	67	66	65	54	45	53	54	68	49	52	46	0	50	60

Afficher ou Masquer des Colonnes

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	Sergei Bobrovsky	96.00	92	89	96	66	92	86	87	92	84	75	93	52	46	0	50	79	0
2	Jhonas Enroth	100.00	40	45	77	62	37	48	46	35	50	97	45	51	47	0	50	51	0
Rayé

	MOYENNE D'ÉQUIPE	98.00	66	67	87	64	65	67	67	64	67	86	69	52	47	0	50	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Joel Quenneville	69	94	89	76	99	99	88	CAN	59	1	500,000$

Afficher ou Masquer des Colonnes

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	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Ryan Suter	Buffalo	D	79	14	37	51	-46	157	55	149	149	129	10	26	10.85%	119	1863	23.59	11	14	25	89	332	0	229	1	0	0.00%	0	0	0.55	0	0	1	5	5	2	3	2
2	Patrick Kane	Buffalo	RW	68	26	24	50	-37	12	0	42	143	175	9	34	14.86%	12	1431	21.05	10	14	24	53	319	1	223	2	4	32.92%	562	1	0.70	3	8	0	0	0	5	1	2
3	Matthew Tkachuk	Buffalo	LW	76	19	18	37	-30	91	15	170	50	136	5	21	13.97%	10	1269	16.70	7	5	12	45	271	2	69	2	0	27.34%	128	0	0.58	0	3	0	0	2	2	3	1
4	Mattias Ekholm	Buffalo	D	82	10	21	31	-42	62	0	86	102	98	19	16	10.20%	105	1899	23.16	6	9	15	67	351	2	268	1	0	0.00%	0	0	0.33	1	1	0	0	0	1	1	1
5	Jordie Benn	Buffalo	D	78	6	23	29	-24	79	5	108	57	59	5	18	10.17%	64	1359	17.43	4	4	8	30	184	0	167	1	1	0.00%	0	0	0.43	0	0	0	1	0	0	1	2
6	Devin Shore	Buffalo	C/LW/RW	82	5	23	28	-26	8	0	30	114	119	9	22	4.20%	3	1186	14.47	0	6	6	22	190	2	87	0	0	48.53%	1331	0	0.47	0	1	0	0	0	0	0	1
7	Jonathan Ericsson	Buffalo	D	82	7	19	26	-20	126	30	124	66	59	0	11	11.86%	72	1407	17.17	3	3	6	33	172	0	122	0	0	0.00%	0	0	0.37	0	0	1	2	3	0	2	0
8	Devante Smith-Pelly	Buffalo	LW/RW	71	12	11	23	-7	44	0	96	53	117	7	24	10.26%	6	1013	14.27	3	2	5	23	172	3	148	0	1	31.25%	240	0	0.45	1	4	0	0	0	0	0	0
9	Joakim Nordstrom	Buffalo	LW/RW	82	12	10	22	-24	50	0	118	79	114	3	11	10.53%	10	1206	14.71	2	4	6	22	186	2	110	1	1	33.90%	118	0	0.36	1	1	0	0	0	0	1	3
10	Pavel Zacha	Buffalo	C/LW	70	2	19	21	-14	32	0	52	57	58	5	14	3.45%	7	893	12.76	0	4	4	5	105	3	20	0	0	50.00%	574	0	0.47	1	2	0	0	0	0	0	0
11	Anthony DeAngelo	Buffalo	D	81	6	11	17	-26	22	0	49	44	62	8	14	9.68%	21	998	12.33	0	2	2	8	49	1	107	0	1	46.67%	30	0	0.34	0	1	0	0	0	1	0	2
12	P.A. Parenteau	Buffalo	LW/RW	68	9	8	17	-4	33	5	52	22	73	9	31	12.33%	2	711	10.47	0	1	1	4	46	1	10	1	1	29.55%	44	0	0.48	1	1	1	0	0	2	1	1
13	Joonas Donskoi	Buffalo	LW/RW	82	7	9	16	-29	18	0	40	52	105	7	32	6.67%	2	1036	12.64	3	2	5	19	158	0	4	0	0	20.97%	62	0	0.31	0	0	0	0	0	0	0	0
14	Stephane Robidas	Buffalo	D	72	6	9	15	4	76	0	120	25	45	1	7	13.33%	80	1096	15.22	3	0	3	10	59	0	124	1	0	0.00%	0	0	0.27	0	0	0	0	0	1	0	2
15	Vernon Fiddler	Buffalo	C/LW	39	6	7	13	-14	15	5	18	48	48	8	12	12.50%	1	498	12.79	2	2	4	11	58	2	65	1	0	52.15%	418	0	0.52	0	0	0	0	1	0	1	0
16	Eric Gryba	Buffalo	D	61	2	6	8	-12	148	50	165	37	24	3	3	8.33%	57	910	14.92	1	0	1	3	72	0	70	0	0	0.00%	0	0	0.18	0	0	0	4	6	0	1	0
17	Jacob De La Rose	Buffalo	C/LW	79	4	3	7	-16	28	0	36	30	43	3	6	9.30%	4	747	9.46	0	0	0	2	15	1	29	0	0	37.18%	234	0	0.19	0	0	0	0	0	0	0	1
18	Clayton Keller	Buffalo	C/LW	79	0	7	7	-23	0	0	10	48	9	0	4	0.00%	2	1203	15.24	0	4	4	5	261	0	4	0	0	26.38%	1035	0	0.12	1	2	0	0	0	0	0	0
19	Milan Michalek	Buffalo	LW/RW	44	3	3	6	-9	10	0	25	22	62	5	23	4.84%	6	493	11.22	0	0	0	6	49	1	58	0	0	38.81%	67	0	0.24	2	5	0	0	0	0	0	0
20	Boyd Gordon	Buffalo	C	44	1	4	5	-4	2	0	8	53	25	1	4	4.00%	7	390	8.88	0	0	0	3	16	1	42	0	0	57.02%	363	0	0.26	0	0	0	0	0	0	0	0
21	TJ Brennan	Buffalo	D	28	1	3	4	-11	6	0	14	15	15	4	11	6.67%	24	404	14.44	0	0	0	1	2	0	33	0	0	0.00%	0	0	0.20	0	0	0	0	0	0	0	0
22	Roman Horak	Buffalo	C/LW	4	0	0	0	2	0	0	1	0	0	0	0	0.00%	0	18	4.65	0	0	0	0	0	0	0	0	0	50.00%	2	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1451	158	275	433	-412	1019	165	1513	1266	1575	121	344	10.03%	614	22041	15.19	55	76	131	461	3077	22	1999	11	9	40.71%	5208	1	0.39	11	29	3	12	17	14	15	18

Afficher ou Masquer des Colonnes

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	Sergei Bobrovsky	Buffalo	67	16	35	8	0.892	2.85	3559	8	4	169	1562	2	0	0.731	26	56	26	6	3	1
2	Jhonas Enroth	Buffalo	33	2	18	3	0.819	5.08	1418	2	0	120	664	0	1	0.429	7	26	56	1	0	0
Stats d'équipe Total ou en Moyenne			100	18	53	11	0.870	3.48	4978	10	4	289	2226	2	1	0.667	33	82	82	7	3	1

Afficher ou Masquer des Colonnes

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
Anthony DeAngelo	Buffalo	D	20	1995-10-24	Yes	183 Lbs	5 ft11	No	No	No	3	Contrat d'Entrée	Pro & Farm	925,000$