Ligue Canadienne de Hockey Simulé

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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	Sam Bennett (R)		X			100.00	65	50	78	81	70	79	81	71	69	74	71	78	69	56	52	95	72	70	0
2	Curtis McKenzie (R)		X			100.00	74	85	68	69	76	66	68	68	61	83	67	69	63	72	69	55	56	68	0
3	Ben Smith	X				100.00	50	28	99	60	72	60	62	87	86	67	64	73	65	79	81	21	71	67	0
4	Chris Mueller (R)	X				100.00	89	91	64	60	66	82	85	77	70	57	59	64	58	83	72	6	73	65	0
5	Stefan Noesen (R)			X		100.00	60	38	72	69	74	59	62	63	60	74	62	68	59	67	64	71	68	64	0
6	Derek Ryan (R)	X				100.00	50	35	78	83	62	58	68	66	86	65	64	61	63	74	68	15	72	64	0
7	Nigel Dawes			X		100.00	58	25	99	61	73	75	81	61	33	57	66	48	67	99	95	59	71	63	0
8	Brandon Bollig (R)		X			100.00	98	99	51	63	64	49	52	68	53	63	61	65	60	80	75	43	68	63	0
9	Barclay Goodrow (R)			X		100.00	55	38	71	71	78	52	54	67	60	63	66	67	64	71	68	71	72	63	0
10	Chris Porter (R)		X			100.00	88	46	68	63	62	49	52	66	56	61	58	69	59	79	75	42	72	62	0
11	Brendan Leipsic (R)	X				100.00	55	60	58	72	54	65	69	60	68	57	59	57	64	59	59	41	71	59	0
12	Joonas Kemppainen (R)	X				100.00	55	39	72	68	64	56	60	58	79	59	57	68	59	54	54	44	72	59	0
13	Blake Pietila (R)			X		100.00	53	35	74	69	68	47	53	57	52	51	57	72	64	60	52	71	72	58	0
14	Tyler Randell (R)			X		100.00	75	93	64	67	63	43	49	60	54	57	56	68	58	56	51	45	74	58	0
15	Anton Blidh (R)		X			100.00	56	40	75	69	70	47	51	56	30	49	53	60	54	56	49	87	71	55	0
16	Ryan Murray (R)				X	100.00	67	44	81	82	77	84	90	76	25	85	78	85	71	67	70	83	70	76	0
17	Jake McCabe (R)				X	100.00	81	53	80	73	78	77	80	88	25	70	62	79	60	62	68	52	71	73	0
18	Kyle Quincey				X	100.00	65	39	81	69	78	77	81	81	25	63	65	82	61	89	94	65	71	73	0
19	Milan Jurcina				X	100.00	42	15	99	54	85	67	72	79	40	68	86	88	81	87	99	24	72	71	0
20	Mark Barberio (R)				X	100.00	55	35	95	71	74	64	69	73	30	72	68	68	68	72	63	47	72	66	0
21	Scott Harrington (R)				X	100.00	62	38	80	62	79	68	73	78	49	63	52	70	57	60	57	50	66	65	0
22	Rasmus Andersson (R)				X	100.00	52	35	78	68	75	59	41	51	30	46	44	69	50	54	50	95	19	57	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	64	48	77	68	71	63	66	69	52	64	63	69	62	70	68	54	68	65

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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	Andrei Vasilevski (R)	100.00	86	77	87	80	86	84	87	87	88	88	86	58	57	79	72	80	0
2	Joni Ortio (R)	100.00	70	77	71	74	72	77	79	80	79	74	77	72	69	64	72	73	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	78	77	79	77	79	81	83	84	84	81	82	65	63	72	72	77

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Adam Oates	74	84	78	75	72	71	76	CAN	54	3	800,000$

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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	GA	TA	HT	P/20	FW	FL	FT	S1	S2	S3
1	Linden Vey	Capitals	C	12	4	13	17	-3	0	0	13	37	67	20	35	5.97%	4	276	23.06	1	7	8	10	49	0	1	1	2	50	0	0	60.15%	389	5	5	0	1.23	0	0	0	0	1	0
2	Sam Bennett	Capitals (WAS)	LW	12	9	6	15	-3	16	0	26	21	54	13	26	16.67%	4	268	22.42	4	4	8	7	49	0	1	1	3	43	1	0	35.71%	14	16	8	1	1.12	0	0	0	1	0	1
3	Ryan Murray	Capitals (WAS)	D	12	1	9	10	-3	21	5	20	26	31	15	12	3.23%	19	285	23.83	1	2	3	9	48	0	0	0	0	43	0	0	0.00%	0	11	9	0	0.70	0	0	0	0	1	0
4	Ben Smith	Capitals (WAS)	C	12	4	4	8	1	0	0	6	26	50	11	21	8.00%	2	164	13.70	0	0	0	1	10	0	0	0	0	7	0	1	58.68%	167	2	4	0	0.97	0	0	0	2	0	0
5	J.T. Brown	Capitals	RW	12	2	4	6	-3	2	0	25	12	24	2	15	8.33%	3	218	18.21	2	2	4	7	49	0	0	0	0	0	0	0	71.43%	14	3	7	0	0.55	0	0	0	0	0	0
6	Curtis McKenzie	Capitals (WAS)	LW	12	4	2	6	-4	37	15	31	21	40	15	32	10.00%	5	209	17.42	0	1	1	0	36	1	0	1	2	15	1	0	58.33%	12	12	2	0	0.57	0	3	0	0	0	0
7	Brandon Bollig	Capitals (WAS)	LW	12	4	1	5	4	19	5	32	10	25	2	8	16.00%	3	139	11.63	0	0	0	0	0	0	0	0	0	3	2	1	0.00%	3	4	1	0	0.72	0	1	0	1	0	1
8	Stefan Noesen	Capitals (WAS)	RW	10	1	3	4	-3	4	0	15	14	19	3	14	5.26%	3	161	16.12	0	0	0	4	27	0	0	0	0	0	0	0	30.77%	13	1	0	0	0.50	0	0	0	0	0	0
9	Chris Mueller	Capitals (WAS)	C	12	1	3	4	3	9	5	11	7	9	3	10	11.11%	5	81	6.82	0	0	0	0	0	0	0	0	0	0	0	0	44.83%	29	3	5	0	0.98	1	0	0	0	1	0
10	Milan Jurcina	Capitals (WAS)	D	12	0	4	4	4	0	0	3	26	27	13	9	0.00%	22	264	22.01	0	1	1	3	34	0	0	0	0	33	0	0	0.00%	0	11	12	0	0.30	0	0	0	0	0	0
11	Marko Dano	Capitals	C	10	1	2	3	-4	6	0	25	22	25	10	19	4.00%	5	184	18.47	1	0	1	2	28	0	0	0	1	17	0	0	51.66%	211	9	4	0	0.32	0	0	0	0	0	1
12	Mark Barberio	Capitals (WAS)	D	12	0	3	3	-4	0	0	4	16	17	8	4	0.00%	9	186	15.53	0	0	0	0	6	0	0	0	0	2	0	0	0.00%	0	4	8	0	0.32	0	0	0	0	0	0
13	Kyle Quincey	Capitals (WAS)	D	12	0	3	3	-1	9	5	22	23	25	6	7	0.00%	22	293	24.42	0	0	0	0	45	0	0	0	2	46	0	0	0.00%	0	6	6	0	0.20	0	0	1	0	0	1
14	Scott Harrington	Capitals (WAS)	D	12	2	0	2	-2	4	0	7	10	9	3	1	22.22%	11	178	14.85	0	0	0	0	1	0	0	0	0	12	1	0	0.00%	0	0	9	0	0.22	0	0	0	0	1	1
15	Chris Porter	Capitals (WAS)	LW	12	1	1	2	0	14	0	13	8	5	1	4	20.00%	1	93	7.75	0	0	0	0	0	0	0	0	0	13	0	0	100.00%	3	0	2	0	0.43	0	0	0	0	0	0
16	Nigel Dawes	Capitals (WAS)	RW	12	1	1	2	4	0	0	9	5	11	3	15	9.09%	1	135	11.28	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	1	1	0	0.30	0	0	0	0	0	1
17	Jake McCabe	Capitals (WAS)	D	12	0	1	1	2	15	5	24	21	18	5	8	0.00%	25	278	23.18	0	0	0	3	43	0	0	0	0	38	0	0	0.00%	0	9	5	0	0.07	1	0	0	0	0	0
18	Tyler Randell	Capitals (WAS)	RW	12	0	1	1	1	5	5	2	3	0	0	0	0.00%	0	25	2.15	0	0	0	0	0	0	0	0	0	12	0	0	0.00%	0	0	0	0	0.78	1	0	0	0	0	0
19	Blake Pietila	Capitals (WAS)	RW	12	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	2	0.18	0	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0	0
20	Brendan Leipsic	Capitals (WAS)	C	12	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	14	1.22	0	0	0	0	1	0	0	0	0	5	0	0	100.00%	3	0	0	0	0.00	0	0	0	0	0	0
21	Joonas Kemppainen	Capitals (WAS)	C	12	0	0	0	0	0	0	1	0	2	0	0	0.00%	0	13	1.15	0	0	0	0	2	0	0	0	0	6	0	0	0.00%	1	0	0	0	0.00	0	0	0	0	0	0
22	Derek Ryan	Capitals (WAS)	C	12	0	0	0	1	2	0	4	3	6	3	5	0.00%	0	47	3.99	0	0	0	0	5	0	0	0	0	0	0	0	57.14%	14	0	0	0	0.00	0	0	0	0	0	0
23	Barclay Goodrow	Capitals (WAS)	RW	12	0	0	0	-1	6	0	5	9	10	7	4	0.00%	2	98	8.19	0	0	0	0	7	0	0	0	0	0	0	0	33.33%	3	2	4	0	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				272	35	61	96	-11	169	45	298	320	474	143	249	7.38%	147	3621	13.32	9	17	26	46	449	1	2	3	10	352	5	2	56.44%	877	99	92	1	0.53	3	4	1	4	4	6

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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	SAR	A	ST	BG	S1	S3
1	Andrei Vasilevski	Capitals (WAS)	9	5	3	1	0.921	2.88	562	2	27	340	143	1	9	3	2	1
2	Joni Ortio	Capitals (WAS)	3	0	3	0	0.887	4.02	179	0	12	106	55	0	3	9	0	0
Stats d'équipe Total ou en Moyenne			12	5	6	1	0.913	3.16	741	2	39	446	198	1	12	12	2	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	CONT	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3
Andrei Vasilevski	Capitals (WAS)	LW	22	1995-08-03 17:11:14	Yes	212 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	777,777$
Anton Blidh	Capitals (WAS)	LW	23	1995-03-14 09:14:08	Yes	201 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	784,167$	784,167$	784,167$
Barclay Goodrow	Capitals (WAS)	RW	23	1994-08-03 11:11:13	Yes	213 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	626,667$
Ben Smith	Capitals (WAS)	C	28	1989-08-03 05:11:13	No	212 Lbs	5 ft11	No	No	No	2	Avec Restriction	Pro & Farm	600,000$	600,000$
Blake Pietila	Capitals (WAS)	RW	23	1994-08-03 11:11:13	Yes	190 Lbs	5 ft11	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	750,000$
Brandon Bollig	Capitals (WAS)	LW	29	1988-08-02 23:11:13	Yes	224 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	1,250,000$
Brendan Leipsic	Capitals (WAS)	C	22	1995-08-03 17:11:13	Yes	165 Lbs	5 ft9	No	No	No	2	Contrat d'Entrée	Pro & Farm	894,000$	894,000$
Chris Mueller	Capitals (WAS)	C	30	1987-08-03 17:11:13	Yes	214 Lbs	5 ft11	No	No	No	3	Avec Restriction	Pro & Farm	575,000$	575,000$	575,000$
Chris Porter	Capitals (WAS)	LW	32	1985-08-03 05:11:13	Yes	206 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	675,000$
Curtis McKenzie	Capitals (WAS)	LW	25	1992-08-02 23:11:13	Yes	195 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	645,000$
Derek Ryan	Capitals (WAS)	C	31	1986-12-29 13:03:29	Yes	170 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	600,000$	600,000$
Jake McCabe	Capitals (WAS)	D	23	1994-08-03 11:11:13	Yes	198 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	777,777$
Joni Ortio	Capitals (WAS)	D	25	1992-08-02 23:11:14	Yes	184 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	600,000$
Joonas Kemppainen	Capitals (WAS)	C	28	1989-08-03 05:11:13	Yes	213 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	925,000$	925,000$
Kyle Quincey	Capitals (WAS)	D	31	1986-08-03 11:11:13	No	220 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$
Mark Barberio	Capitals (WAS)	D	26	1991-08-03 17:11:13	Yes	186 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	874,125$
Milan Jurcina	Capitals (WAS)	D	33	1984-08-02 23:11:13	No	250 Lbs	6 ft4	No	No	No	3	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	1,000,000$
Nigel Dawes	Capitals (WAS)	RW	31	1986-08-03 11:11:13	No	202 Lbs	5 ft9	No	No	No	2	Sans Restriction	Pro & Farm	575,000$	575,000$
Rasmus Andersson	Capitals (WAS)	D	21	1996-10-27 08:36:44	Yes	214 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	755,833$	755,833$	755,833$
Ryan Murray	Capitals (WAS)	D	23	1994-08-03 11:11:13	Yes	214 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	3,000,000$	3,000,000$	3,000,000$
Sam Bennett	Capitals (WAS)	LW	20	1997-08-03 05:11:13	Yes	178 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	3,194,000$	3,194,000$
Scott Harrington	Capitals (WAS)	D	23	1994-08-03 11:11:13	Yes	214 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	777,777$
Stefan Noesen	Capitals (WAS)	RW	23	1994-08-03 11:11:13	Yes	191 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	777,777$
Tyler Randell	Capitals (WAS)	RW	25	1992-08-02 23:11:13	Yes	197 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	600,000$	600,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	25.83	203 Lbs	6 ft1	1.79	959,788$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sam Bennett	Ben Smith	Stefan Noesen	40	1	2	2
2	Curtis McKenzie	Chris Mueller	Barclay Goodrow	30	1	2	2
3	Brandon Bollig	Derek Ryan	Nigel Dawes	20	1	2	2
4	Chris Porter	Joonas Kemppainen	Tyler Randell	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Murray	Jake McCabe	40	1	2	2
2	Kyle Quincey	Milan Jurcina	30	1	2	2
3	Mark Barberio	Scott Harrington	20	1	2	2
4	Rasmus Andersson	Ryan Murray	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sam Bennett	Ben Smith	Stefan Noesen	60	1	2	2
2	Curtis McKenzie	Chris Mueller	Barclay Goodrow	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Murray	Jake McCabe	60	1	2	2
2	Kyle Quincey	Milan Jurcina	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sam Bennett	Curtis McKenzie	60	1	2	2
2	Ben Smith	Chris Mueller	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Murray	Jake McCabe	60	1	2	2
2	Kyle Quincey	Milan Jurcina	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Sam Bennett	60	1	2	2	Ryan Murray	Jake McCabe	60	1	2	2
2	Curtis McKenzie	40	1	2	2	Kyle Quincey	Milan Jurcina	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sam Bennett	Curtis McKenzie	60	1	2	2
2	Ben Smith	Chris Mueller	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Murray	Jake McCabe	60	1	2	2
2	Kyle Quincey	Milan Jurcina	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sam Bennett	Ben Smith	Stefan Noesen	Ryan Murray	Jake McCabe

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sam Bennett	Ben Smith	Stefan Noesen	Ryan Murray	Jake McCabe

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brendan Leipsic, Blake Pietila, Anton Blidh	Brendan Leipsic, Blake Pietila	Anton Blidh

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mark Barberio, Scott Harrington, Rasmus Andersson	Mark Barberio	Scott Harrington, Rasmus Andersson

Tirs de Pénalité
Sam Bennett, Curtis McKenzie, Ben Smith, Chris Mueller, Stefan Noesen

Gardien
#1 : Andrei Vasilevski, #2 : Joni Ortio

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Bruins	7	4	3	0	0	0	0	0	22	22	0	4	3	1	0	0	0	0	0	15	12	3	3	1	2	0	0	0	0	0	7	10	-3	8	0.571	22	39	61	0	0	13	9	12	1	280	161	167	140	6	279	84	69	175	32	8	25.00%	23	3	86.96%	1	201	347	57.93%	203	350	58.00%	91	180	50.56%	264	149	262	118	217	110
2	Islanders	5	1	4	0	0	0	0	0	13	17	-4	3	1	2	0	0	0	0	0	8	9	-1	2	0	2	0	0	0	0	0	5	8	-3	2	0.200	13	22	35	0	0	13	9	12	1	194	161	167	140	6	167	63	102	123	25	1	4.00%	31	8	74.19%	0	201	347	57.93%	203	350	58.00%	91	180	50.56%	264	149	262	118	217	110
	Total	12	5	7	0	0	0	0	0	35	39	-4	7	4	3	0	0	0	0	0	23	21	2	5	1	4	0	0	0	0	0	12	18	-6	10	0.417	35	61	96	0	0	13	9	12	1	474	161	167	140	6	446	147	171	298	57	9	15.79%	54	11	79.63%	1	201	347	57.93%	203	350	58.00%	91	180	50.56%	264	149	262	118	217	110
	_Since Last GM Reset	12	5	7	0	0	0	0	0	35	39	-4	7	4	3	0	0	0	0	0	23	21	2	5	1	4	0	0	0	0	0	12	18	-6	10	0.417	35	61	96	0	0	13	9	12	1	474	161	167	140	6	446	147	171	298	57	9	15.79%	54	11	79.63%	1	201	347	57.93%	203	350	58.00%	91	180	50.56%	264	149	262	118	217	110
	_Vs Conference	12	5	7	0	0	0	0	0	35	39	-4	7	4	3	0	0	0	0	0	23	21	2	5	1	4	0	0	0	0	0	12	18	-6	10	0.417	35	61	96	0	0	13	9	12	1	474	161	167	140	6	446	147	171	298	57	9	15.79%	54	11	79.63%	1	201	347	57.93%	203	350	58.00%	91	180	50.56%	264	149	262	118	217	110
	_Vs Division	5	1	4	0	0	0	0	0	13	17	-4	3	1	2	0	0	0	0	0	8	9	-1	2	0	2	0	0	0	0	0	5	8	-3	2	0.200	13	22	35	0	0	13	9	12	1	194	161	167	140	6	167	63	102	123	25	1	4.00%	31	8	74.19%	0	201	347	57.93%	203	350	58.00%	91	180	50.56%	264	149	262	118	217	110

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
12	10	L4	35	61	96	474	446	147	171	298	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	5	7	0	0	0	0	35	39

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	3	0	0	0	0	23	21

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	12	18

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	6	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
57	9	15.79%	54	11	79.63%	1

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
161	167	140	6	13	9	12	1

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
201	347	57.93%	203	350	58.00%	91	180	50.56%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
264	149	262	118	217	110

Derniers Match Joués

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	Lien
1 - 2017-09-30	3	Bruins	6	Capitals	5	L	X	Sommaire du Match
3 - 2017-10-02	11	Bruins	1	Capitals	2	W		Sommaire du Match
5 - 2017-10-04	19	Capitals	3	Bruins	4	L		Sommaire du Match
7 - 2017-10-06	27	Capitals	2	Bruins	5	L		Sommaire du Match
9 - 2017-10-08	35	Bruins	3	Capitals	5	W		Sommaire du Match
11 - 2017-10-10	43	Capitals	2	Bruins	1	W	X	Sommaire du Match
13 - 2017-10-12	51	Bruins	2	Capitals	3	W		Sommaire du Match
15 - 2017-10-14	58	Islanders	2	Capitals	4	W		Sommaire du Match
17 - 2017-10-16	62	Islanders	3	Capitals	2	L		Sommaire du Match
19 - 2017-10-18	66	Capitals	3	Islanders	4	L		Sommaire du Match
21 - 2017-10-20	70	Capitals	2	Islanders	4	L		Sommaire du Match
23 - 2017-10-22	74	Islanders	4	Capitals	2	L		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	45	25
Assistance	12991	6594
Assistance PCT	92.79%	94.20%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
34	2798 - 93.26%	159,525$	1,116,674$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,303,491$	329,000$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour
0$	0$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
12	12	5	7	0	0	0	0	0	35	39	-4	7	4	3	0	0	0	0	0	23	21	2	5	1	4	0	0	0	0	0	12	18	-6	10	35	61	96	0	0	13	9	12	1	474	161	167	140	6	446	147	171	298	57	9	15.79%	54	11	79.63%	1	201	347	57.93%	203	350	58.00%	91	180	50.56%	264	149	262	118	217	110
Total Séries	12	5	7	0	0	0	0	0	35	39	-4	7	4	3	0	0	0	0	0	23	21	2	5	1	4	0	0	0	0	0	12	18	-6	10	35	61	96	0	0	13	9	12	1	474	161	167	140	6	446	147	171	298	57	9	15.79%	54	11	79.63%	1	201	347	57.93%	203	350	58.00%	91	180	50.56%	264	149	262	118	217	110

Pro Standing	Pro Team Roster	Pro Team Scoring	Pro Team PlayersInfo	Pro Team Lines	Pro Team Schedule	Team Finance
Team Prospects	Team History	Team Injury Suspension	Pro Team Stats	Pro Team Stats VS	Coaches	Waivers
Today Transactions	Transactions	Schedule	Pro Leaders	Pro Individual Leaders	Unassigned	Farm Standing
Farm Team Roster	Farm Team Scoring	Farm Team PlayersInfo	Farm Team Lines	Farm Team Schedule	Farm Team Stats	Farm Team StatsVS
Farm Leaders	Farm Individual Leaders	Teams And GM Info	Pro Power Ranking	Farm Power Ranking	Free Agents	Awards
Rerate Difference	Pro All Players Stats	Farm All Players Stats	Trade History