Ligue de hockey Simulée Ste-Flanelle

Nashville
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Stats d'équipe en Carrière
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	A.J. Greer (R)		X			100.00	57	35	77	72	71	55	35	44	35	53	35	66	48	35	32	0	50	52	0
2	Filip Chlapik	X				100.00	45	45	45	45	67	45	45	45	45	45	45	45	45	32	30	0	50	46	0
3	Samuel Kurker (R)			X		100.00	43	45	45	45	70	42	42	43	45	43	43	45	44	32	30	0	50	45	0
4	Thomas Novak	X				100.00	43	43	43	43	55	43	43	43	43	43	43	43	43	32	30	0	50	44	0
5	Filip Ahl		X	X		100.00	40	40	40	40	80	40	40	40	40	40	40	40	40	32	30	0	50	43	0
6	Justin Auger (R)			X		100.00	38	40	40	40	83	37	37	38	40	38	38	40	39	32	30	0	50	42	0
7	Yan Pavel Laplante (R)	X				100.00	41	43	43	43	54	40	40	41	43	41	41	43	42	32	30	0	50	42	0
8	Pavel Jenys (R)	X				100.00	35	37	37	37	66	35	35	35	37	35	35	37	36	32	30	0	50	39	0
9	Adam Gaudette	X				100.00	37	37	37	37	58	37	37	37	37	37	37	37	37	32	30	0	50	39	0
10	Adam Marsh		X			100.00	37	37	37	37	45	37	37	37	37	37	37	37	37	32	30	0	50	39	0
11	Blaine Byron (R)	X				100.00	35	37	37	37	46	35	35	35	37	35	35	37	36	32	30	0	50	38	0
12	Brian Pinho (R)	X		X		100.00	35	37	37	37	52	35	35	35	37	35	35	37	36	32	30	0	50	38	0
13	Mark Barberio				X	100.00	56	35	88	68	68	68	51	48	35	52	43	69	48	43	41	0	50	58	0
14	Rasmus Andersson (R)				X	100.00	52	35	95	68	70	56	35	31	35	30	32	69	48	35	32	0	50	53	0
15	Chris Martenet				X	100.00	40	40	40	40	72	40	40	40	40	40	40	40	40	32	30	0	50	43	0
16	Tom Nilsson (R)				X	100.00	38	40	40	40	53	37	37	38	40	38	38	40	39	32	30	0	50	40	0
17	Jordan Sambrook (R)				X	100.00	37	37	37	37	37	37	37	37	37	37	37	37	37	37	37	0	50	39	0
Rayé
1	Joel Vermin (R)		X	X		100.00	52	35	89	76	63	56	37	43	45	51	35	69	48	37	34	0	50	53	0
2	Keegan Kolesar			X		100.00	43	43	43	43	78	43	43	43	43	43	43	43	43	32	30	0	50	45	0
3	Grant Besse (R)			X		100.00	35	37	37	37	52	35	35	35	37	35	35	37	36	32	30	0	50	38	0
4	Henri Ikonen (R)		X			100.00	35	37	37	37	57	35	35	35	37	35	35	37	36	32	30	0	50	38	0
5	Victor Crus Rydberg (R)	X				100.00	35	37	37	37	61	35	35	35	37	35	35	37	36	32	30	0	50	38	0

	MOYENNE D'ÉQUIPE					100.00	41	39	48	45	62	42	38	39	39	40	38	45	41	33	31	0	50	43

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	Jacob Markstrom	100.00	72	45	86	75	74	63	71	75	55	80	94	48	44	0	50	65	0
2	Thomas McCollum	100.00	50	45	43	77	49	41	41	47	41	59	58	35	32	0	50	48	0
3	Kent Simpson	100.00	41	45	43	74	41	39	39	40	39	39	38	35	32	0	50	43	0
Rayé
1	Kristian Oldham	100.00	37	37	37	70	37	37	37	37	37	37	37	32	30	0	50	40	0

	MOYENNE D'ÉQUIPE	100.00	50	43	52	74	50	45	47	50	43	54	57	38	35	0	50	49

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ted Dent	54	75	75	49	73	64	65	CAN	47	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Steven Kampfer	Nashville	D	80	27	33	60	-43	132	20	218	146	157	9	31	17.20%	103	1832	22.91	17	15	32	93	256	0	0	0	2	277	2	0	0.00%	0	0	0.65	1	2	2	1	1	2	3	5
2	Rasmus Andersson	Chill (Nas)	D	82	13	34	47	-39	24	0	64	110	122	8	23	10.66%	132	1824	22.25	8	16	24	76	260	1	0	1	1	298	1	0	0.00%	0	0	0.52	2	2	0	0	0	2	0	1
3	Matt Benning	Nashville	D	46	7	38	45	19	54	20	68	44	93	0	0	7.53%	42	941	20.46	6	9	15	65	207	0	1	1	1	105	1	1	0.00%	0	0	0.96	0	0	1	2	1	2	2	3
4	T.J. Tynan	Nashville	C	80	11	31	42	-33	15	5	49	176	181	15	39	6.08%	17	1421	17.77	3	12	15	29	256	1	0	1	7	164	1	0	39.26%	1620	0	0.59	0	7	0	1	0	1	2	2
5	Tobias Lindberg	Nashville	LW/RW	70	19	23	42	-18	46	0	78	131	148	7	14	12.84%	50	1434	20.50	2	9	11	39	232	0	1	1	5	279	2	2	48.89%	135	0	0.59	2	8	0	0	0	1	5	2
6	Samuel Kurker	Chill (Nas)	RW	82	18	20	38	-33	80	20	96	55	163	13	34	11.04%	11	1251	15.26	9	10	19	44	241	0	0	0	0	5	2	2	39.74%	78	0	0.61	2	3	0	1	3	1	1	4
7	Thomas Novak	Chill (Nas)	C	71	15	17	32	-4	50	20	61	75	90	4	9	16.67%	9	621	8.75	2	7	9	11	64	0	0	0	0	6	2	1	41.71%	609	0	1.03	0	0	0	1	3	1	1	0
8	Keegan Kolesar	Chill (Nas)	RW	68	16	14	30	-7	64	10	68	57	117	6	19	13.68%	13	833	12.25	0	0	0	1	15	0	0	0	0	5	3	1	50.00%	44	0	0.72	1	2	1	0	1	2	3	3
9	Filip Chlapik	Chill (Nas)	C	55	6	22	28	-20	57	25	81	101	91	0	3	6.59%	8	974	17.72	2	6	8	26	184	0	0	0	3	119	0	0	51.50%	1031	0	0.57	1	2	0	3	2	0	0	0
10	Filip Ahl	Chill (Nas)	LW/RW	82	13	13	26	-15	40	0	99	35	101	6	18	12.87%	9	1272	15.51	1	6	7	20	179	0	0	0	1	63	1	1	50.72%	69	0	0.41	0	0	0	0	0	2	1	2
11	A.J. Greer	Chill (Nas)	LW	59	7	18	25	-23	27	5	86	108	87	5	9	8.05%	25	977	16.57	1	7	8	28	204	0	0	0	2	187	0	0	42.04%	245	0	0.51	2	7	0	0	0	2	1	0
12	Yan Pavel Laplante	Chill (Nas)	C	82	7	14	21	-19	47	5	79	110	78	9	35	8.97%	19	917	11.19	0	0	0	0	4	0	0	0	0	6	0	0	44.75%	695	0	0.46	0	0	1	0	0	0	1	0
13	Timo Meier	Nashville	LW/RW	18	11	9	20	-5	12	0	41	51	73	0	0	15.07%	3	371	20.63	4	5	9	23	69	0	0	0	4	62	1	0	35.85%	159	0	1.08	1	2	0	0	0	0	3	1
14	Chris Martenet	Chill (Nas)	D	82	2	17	19	-23	79	5	145	31	40	6	10	5.00%	87	1605	19.57	2	6	8	22	225	0	1	1	2	264	0	0	0.00%	0	0	0.24	0	0	0	0	1	0	1	0
15	Mark Barberio	Chill (Nas)	D	20	10	8	18	-11	6	0	30	32	42	1	2	23.81%	34	475	23.77	7	2	9	29	77	0	0	0	1	68	0	1	0.00%	0	1	0.76	1	1	0	0	0	1	2	1
16	Justin Auger	Chill (Nas)	RW	64	5	13	18	-10	73	5	122	45	24	4	18	20.83%	60	1005	15.70	0	0	0	0	7	0	0	0	1	54	0	1	27.78%	18	0	0.36	0	0	0	0	1	1	0	0
17	Tom Nilsson	Chill (Nas)	D	82	3	14	17	-15	66	0	128	28	47	6	7	6.38%	82	1539	18.78	0	4	4	22	182	0	1	1	1	235	0	2	0.00%	0	0	0.22	0	0	0	0	0	1	0	3
18	Adam Marsh	Chill (Nas)	LW	82	2	15	17	-22	44	0	59	43	58	4	18	3.45%	9	918	11.20	0	0	0	1	5	0	0	0	0	22	0	0	47.37%	57	0	0.37	0	0	0	0	0	0	0	0
19	Charles Hudon	Nashville	LW	37	5	11	16	6	18	0	49	40	64	0	0	7.81%	10	431	11.66	0	0	0	4	18	0	0	0	0	0	1	0	38.46%	26	0	0.74	0	0	0	0	0	1	1	0
20	Jordan Sambrook	Chill (Nas)	D	64	3	9	12	-5	91	5	126	32	33	3	6	9.09%	55	1077	16.83	1	1	2	7	71	0	0	0	0	133	0	0	0.00%	0	0	0.22	0	0	0	0	1	0	0	1
21	Adam Gaudette	Chill (Nas)	C	46	6	5	11	5	14	0	29	40	35	12	20	17.14%	6	422	9.18	0	0	0	0	16	0	0	0	1	47	3	0	46.47%	368	0	0.52	0	0	0	0	0	1	1	1
22	Nikita Korostelev	Nashville	RW	80	2	8	10	-28	28	0	60	33	36	4	15	5.56%	20	795	9.95	0	4	4	4	58	0	0	0	0	55	0	0	45.12%	82	0	0.25	0	0	0	0	0	0	1	0
23	Andreas Johnson	Nashville	LW	62	5	4	9	-4	12	0	34	17	30	9	1	16.67%	4	418	6.74	0	0	0	0	1	0	0	0	0	2	2	1	48.28%	29	0	0.43	0	0	0	0	0	1	0	1
24	Pavel Jenys	Chill (Nas)	C	82	1	5	6	1	12	0	32	12	13	0	3	7.69%	14	474	5.78	1	0	1	7	65	0	0	0	1	171	0	0	41.49%	94	0	0.25	0	0	0	0	0	0	1	0
25	Blaine Byron	Chill (Nas)	C	28	1	3	4	0	8	0	26	43	19	1	7	5.26%	4	316	11.29	0	2	2	1	14	0	0	0	0	120	0	1	36.58%	421	0	0.25	0	0	0	0	0	0	1	0
26	Brian Pinho	Chill (Nas)	C/RW	2	0	0	0	-3	2	0	1	0	2	3	3	0.00%	0	33	16.84	0	0	0	0	4	0	0	0	0	0	0	0	0.00%	1	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1606	215	398	613	-349	1101	145	1929	1595	1944	135	344	11.06%	826	24185	15.06	66	121	187	552	2926	2	4	6	33	2759	22	14	43.30%	5781	1	0.51	13	36	5	9	14	22	31	30

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	Jacob Markstrom	Chill (Nas)	26	13	9	4	0.929	2.34	1592	2	1	62	868	2	1	0.636	22	26	0	5	3	2
2	Kent Simpson	Chill (Nas)	43	12	29	0	0.865	4.45	2211	0	2	164	1214	2	0	1.000	7	40	20	2	0	0
3	Thomas McCollum	Chill (Nas)	16	3	11	1	0.864	3.99	888	2	0	59	433	0	0	0.667	12	16	26	0	0	0
4	Kristian Oldham	Chill (Nas)	4	0	0	0	0.906	3.35	161	0	0	9	96	0	0	0.000	0	0	12	0	0	0
Stats d'équipe Total ou en Moyenne			89	28	49	5	0.887	3.64	4853	4	3	294	2611	4	1	0.707	41	82	58	7	3	2

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
A.J. Greer	Chill (Nas)	LW	19	1996-12-14	Yes	204 Lbs	6 ft3	No	No	No	4	Contrat d'Entrée	Pro & Farm	725,000$