Profi League - Comets

Canucks
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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	Emerson Etem		X	X		100.00	71	56	85	83	76	76	73	66	60	41	43	62	99	61	63	0	61	65	0
2	Anton Lander (C)	X	X	X		100.00	68	43	67	79	52	57	78	67	96	41	40	72	50	62	62	0	66	61	0
3	Chris Terry		X	X		100.00	69	43	67	74	53	55	74	66	60	40	44	60	71	59	59	0	75	59	0
4	Phillip Danault	X	X			100.00	64	43	67	68	55	59	77	67	87	41	41	60	50	49	49	0	75	57	0
5	Taylor Beck		X	X		100.00	61	75	63	68	57	65	63	61	77	36	39	59	56	55	56	0	78	56	0
6	Jeremy Welsh	X	X			100.00	72	79	64	71	59	71	66	56	70	35	36	61	50	46	46	0	38	56	0
7	Brett Bulmer		X	X		100.00	71	80	64	72	59	64	63	54	68	30	29	59	50	45	45	0	80	54	0
8	Zack Phillips	X		X		100.00	80	70	77	67	54	65	63	55	66	32	32	60	50	44	44	0	78	54	0
9	Laurent Dauphin (R)	X				100.00	60	67	60	68	51	56	61	56	65	37	41	62	50	44	44	0	65	53	0
10	Daniel Zaar (R)			X		100.00	59	61	69	66	49	57	61	60	68	35	39	60	56	44	44	0	63	53	0
11	Drayson Bowman		X			100.00	59	72	61	72	55	58	61	55	65	29	33	56	50	61	61	0	46	53	0
12	Sebastian Collberg (R)			X		100.00	68	67	73	69	52	59	61	55	65	32	30	59	50	44	44	0	20	52	0
13	Cody Goloubef (A)				X	100.00	67	43	83	73	69	69	64	66	25	43	38	73	50	56	56	0	67	61	0
14	Brandon Gormley				X	100.00	67	43	85	80	69	59	74	69	25	39	38	70	50	50	50	0	69	61	0
15	Julius Honka (R)				X	100.00	62	67	65	75	61	69	71	69	25	42	35	59	50	55	55	0	62	59	0
16	Tim Erixon				X	100.00	58	75	65	72	60	66	68	61	25	33	29	58	50	55	55	0	81	55	0
17	Duncan Siemens				X	100.00	55	77	58	71	61	65	68	53	25	24	27	55	50	55	55	0	52	52	0
18	Corbin McPherson				X	100.00	59	80	66	67	63	69	70	53	25	25	27	58	50	46	46	0	28	52	0
Rayé
1	Eric Tangradi (A)		X			100.00	85	83	65	67	90	67	70	65	85	38	41	68	58	59	60	0	72	63	0
2	Andrew Rowe		X			100.00	80	70	77	63	54	48	56	58	64	28	44	55	61	44	44	0	45	53	0
3	Kevin Lynch (R)	X				100.00	62	76	73	55	53	51	53	51	57	28	27	54	54	45	53	0	19	48	0
4	Dylan McIlrath				X	100.00	81	99	62	72	95	67	73	69	25	39	39	73	50	61	61	0	55	65	0
5	Jesse Graham (R)				X	100.00	55	65	61	58	56	64	67	61	25	31	31	54	50	44	44	0	20	51	0

	MOYENNE D'ÉQUIPE					100.00	67	67	69	70	61	62	67	61	54	35	36	61	55	51	52	0	57	56

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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	Christopher Gibson	100.00	70	74	66	73	69	73	67	71	70	67	48	56	56	0	68	66	0
2	Chris Driedger (R)	100.00	69	74	78	73	66	68	68	66	66	69	44	61	61	0	75	66	0
Rayé
1	Joe Cannata (R)	100.00	66	73	70	73	67	71	65	69	68	65	45	55	55	0	20	65	0
2	Daniel Altshuller (R)	100.00	63	71	76	72	65	70	64	67	64	62	46	55	55	0	20	63	0

	MOYENNE D'ÉQUIPE	100.00	67	73	73	73	67	71	66	68	67	66	46	57	57	0	46	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter Horachek	40	49	56	57	50	48	41	CAN	56	5	100,000$

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

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#	Nom du Joueur	Nom de l'Équipe	#	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20
1	Cody Goloubef	Comets (VAN)		D	5	2	3	5	1	0	0	5	36	18	7	5.56%	17	30.:.00	1	0	1	0	0	13	0	0	0.00%	0	6	15	0	0	0.67
2	Anton Lander	Comets (VAN)		C/LW/RW	5	1	3	4	-2	4	0	12	18	7	4	5.56%	5	22.:.47	0	1	1	0	0	4	0	0	62.89%	97	11	3	0	0	0.70
3	Phillip Danault	Comets (VAN)		C/LW	5	1	3	4	3	0	0	6	21	7	13	4.76%	4	18.:.29	0	1	1	0	0	3	0	0	60.76%	79	12	2	0	0	0.87
4	Emerson Etem	Comets (VAN)		LW/RW	5	2	1	3	-2	0	0	9	20	5	12	10.00%	3	19.:.27	1	0	1	0	0	0	1	0	0.00%	3	22	0	0	0	0.62
5	Tim Erixon	Comets (VAN)		D	5	0	2	2	-3	17	15	9	4	3	1	0.00%	6	27.:.32	0	0	0	0	0	7	0	0	0.00%	0	2	4	0	0	0.29
6	Dylan McIlrath	Comets (VAN)		D	2	2	0	2	2	32	20	7	5	2	8	40.00%	5	16.:.26	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	1.22
7	Chris Terry	Comets (VAN)		LW/RW	5	1	1	2	-1	2	0	11	11	2	7	9.09%	2	20.:.51	0	1	1	0	0	0	0	0	57.14%	7	14	1	0	0	0.38
8	Daniel Zaar	Comets (VAN)		RW	5	0	1	1	3	2	0	8	6	6	5	0.00%	2	18.:.04	0	0	0	0	0	1	0	0	25.00%	4	7	3	0	0	0.22
9	Brandon Gormley	Comets (VAN)		D	5	0	1	1	0	0	0	9	15	13	9	0.00%	8	26.:.36	0	0	0	0	0	6	0	0	0.00%	0	4	12	0	0	0.15
10	Laurent Dauphin	Comets (VAN)		C	5	0	0	0	-3	2	0	9	13	2	7	0.00%	2	17.:.50	0	0	0	0	0	13	0	0	48.44%	64	15	1	0	0	0.00
11	Andrew Rowe	Comets (VAN)		LW	3	0	0	0	3	17	5	10	2	2	1	0.00%	1	13.:.50	0	0	0	0	0	0	0	0	100.00%	1	5	1	0	0	0.00
12	Brett Bulmer	Comets (VAN)		LW/RW	5	0	0	0	0	32	20	10	2	2	4	0.00%	0	11.:.53	0	0	0	0	0	4	0	0	0.00%	0	2	0	0	0	0.00
13	Taylor Beck	Comets (VAN)		LW/RW	5	0	0	0	-3	24	20	7	19	6	5	0.00%	4	14.:.49	0	0	0	0	0	0	0	0	100.00%	2	9	5	0	0	0.00
14	Duncan Siemens	Comets (VAN)		D	3	0	0	0	1	0	0	1	2	0	2	0.00%	0	04.:.00	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00
15	Corbin McPherson	Comets (VAN)		D	5	0	0	0	-3	40	40	6	2	0	1	0.00%	5	14.:.39	0	0	0	0	0	2	0	0	0.00%	0	0	1	0	0	0.00
16	Drayson Bowman	Comets (VAN)		LW	2	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.00	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00
17	Julius Honka	Comets (VAN)		D	5	0	0	0	0	2	0	11	12	6	5	0.00%	7	25.:.20	0	0	0	0	0	7	0	0	0.00%	0	2	7	0	0	0.00
18	Jeremy Welsh	Comets (VAN)		C/LW	5	0	0	0	1	27	15	8	6	6	12	0.00%	1	16.:.43	0	0	0	0	0	10	0	0	66.67%	36	7	6	0	0	0.00
19	Sebastian Collberg	Comets (VAN)		RW	5	0	0	0	1	0	0	5	4	4	3	0.00%	0	10.:.45	0	0	0	0	0	0	0	0	0.00%	0	2	0	0	0	0.00
20	Zack Phillips	Comets (VAN)		C/RW	5	0	0	0	-3	0	0	15	6	3	2	0.00%	3	15.:.01	0	0	0	0	0	0	0	0	25.00%	4	1	2	0	0	0.00
Stats d'équipe Total ou en Moyenne			90	9	15	24	-5	201	135	158	156	204	94	108	4.41%	75	1640	18.23	2	3	5	14	60	0	0	2	78	1	0	58.25%	297	121	64	0.29	0	0	6	4	17	1	1	0

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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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Christopher Gibson	Comets (VAN)	5	1	2	2	94.3%	1.99	331	0	0	11	194	113	0	0	0.0%	0	5	0	0	1	2
Stats d'équipe Total ou en Moyenne		5	1	2	2	0.943	1.99	331	0	0	11	194	113	0	0	0.000	0	5	0	0	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	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	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
Andrew Rowe	Comets (VAN)	LW	29	22.1.1988	No	185 Lbs	6 ft2	No	No	1	Sans Restriction	Pro & Farm	700,000$										Lien
Anton Lander	Comets (VAN)	C/LW/RW	26	24.4.1991 4:25:24	No	186 Lbs	6 ft0	No	No	1	Avec Restriction	Pro & Farm	1,300,000$										Lien
Brandon Gormley	Comets (VAN)	D	25	18.2.1992 3:41:18	No	196 Lbs	6 ft2	No	No	2	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$									Lien
Brett Bulmer	Comets (VAN)	LW/RW	25	26.4.1992 5:58:15	No	212 Lbs	6 ft4	No	No	2	Avec Restriction	Pro & Farm	600,000$	600,000$									Lien
Chris Driedger	Comets (VAN)	G	23	18.5.1994	Yes	200 Lbs	6 ft3	No	No	8	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Chris Terry	Comets (VAN)	LW/RW	28	7.4.1989	No	195 Lbs	5 ft10	No	No	2	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$									Lien
Christopher Gibson	Comets (VAN)	G	24	27.12.1992	No	188 Lbs	6 ft1	No	No	8	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Cody Goloubef	Comets (VAN)	D	27	30.11.1989	No	195 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	1,600,000$	1,600,000$									Lien
Corbin McPherson	Comets (VAN)	D	28	7.9.1988 0:06:44	No	210 Lbs	6 ft4	No	No	6	Sans Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Daniel Altshuller	Comets (VAN)	G	22	24.7.1994	Yes	205 Lbs	6 ft3	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Daniel Zaar	Comets (VAN)	RW	23	23.4.1994	Yes	167 Lbs	5 ft11	No	No	10	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Drayson Bowman	Comets (VAN)	LW	28	8.3.1989	No	195 Lbs	6 ft1	No	No	1	Sans Restriction	Pro & Farm	600,000$										Lien
Duncan Siemens	Comets (VAN)	D	23	7.9.1993	No	205 Lbs	6 ft3	No	No	8	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Dylan McIlrath	Comets (VAN)	D	25	20.4.1992 3:43:32	No	220 Lbs	6 ft5	No	No	1	Avec Restriction	Pro & Farm	1,200,000$										Lien
Emerson Etem	Comets (VAN)	LW/RW	24	16.6.1992 3:44:19	No	212 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	1,100,000$	1,100,000$									Lien
Eric Tangradi	Comets (VAN)	LW	28	10.2.1989	No	221 Lbs	6 ft4	No	No	1	Sans Restriction	Pro & Farm	600,000$										Lien
Jeremy Welsh	Comets (VAN)	C/LW	29	30.4.1988 0:56:55	No	210 Lbs	6 ft3	No	No	1	Sans Restriction	Pro & Farm	700,000$										Lien
Jesse Graham	Comets (VAN)	D	23	13.5.1994	Yes	176 Lbs	6 ft0	No	No	9	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Joe Cannata	Comets (VAN)	G	27	2.1.1990	Yes	200 Lbs	6 ft1	No	No	10	Sans Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Julius Honka	Comets (VAN)	D	21	3.12.1995	Yes	185 Lbs	5 ft11	No	No	1	Contrat d'Entrée	Pro & Farm	399,999$										Lien
Kevin Lynch	Comets (VAN)	C	26	23.4.1991	Yes	198 Lbs	6 ft1	No	No	9	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
Laurent Dauphin	Comets (VAN)	C	22	26.3.1995 16:41:21	Yes	180 Lbs	6 ft0	No	No	3	Contrat d'Entrée	Pro & Farm	800,000$	800,000$	800,000$								Lien
Phillip Danault	Comets (VAN)	C/LW	24	24.2.1993 4:39:44	No	201 Lbs	6 ft0	No	No	2	Avec Restriction	Pro & Farm	1,300,000$	1,300,000$									Lien
Sebastian Collberg	Comets (VAN)	RW	23	23.2.1994	Yes	186 Lbs	5 ft11	No	No	9	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Taylor Beck	Comets (VAN)	LW/RW	26	13.5.1991 2:27:43	No	203 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	900,000$										Lien
Tim Erixon	Comets (VAN)	D	26	24.2.1991 4:48:07	No	200 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	1,200,000$										Lien
Zack Phillips	Comets (VAN)	C/RW	24	28.10.1992 4:00:37	No	194 Lbs	6 ft0	No	No	7	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
27	25.15	197 Lbs	6 ft1	4.37	603,704$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Emerson Etem	Anton Lander	Chris Terry	40	0	2	3
2	Daniel Zaar	Phillip Danault	Jeremy Welsh	30	0	2	3
3	Taylor Beck	Laurent Dauphin	Zack Phillips	20	0	2	3
4	Brett Bulmer	Jeremy Welsh	Sebastian Collberg	10	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tim Erixon	Cody Goloubef	45	0	2	3
2	Julius Honka	Brandon Gormley	35	0	3	2
3	Corbin McPherson	Tim Erixon	20	0	3	2
4	Brandon Gormley	Cody Goloubef	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Emerson Etem	Anton Lander	Chris Terry	60	0	1	4
2	Daniel Zaar	Phillip Danault	Jeremy Welsh	40	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tim Erixon	Cody Goloubef	60	0	2	3
2	Julius Honka	Brandon Gormley	40	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Laurent Dauphin	Jeremy Welsh	60	0	3	2
2	Phillip Danault	Daniel Zaar	40	0	3	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tim Erixon	Cody Goloubef	60	0	4	1
2	Brandon Gormley	Julius Honka	40	0	4	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Anton Lander	60	0	4	1	Corbin McPherson	Cody Goloubef	60	0	5	0
2	Chris Terry	40	0	4	1	Brandon Gormley	Julius Honka	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Anton Lander	Emerson Etem	60	0	2	3
2	Phillip Danault	Chris Terry	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tim Erixon	Cody Goloubef	60	1	2	2
2	Brandon Gormley	Julius Honka	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Emerson Etem	Anton Lander	Chris Terry	Brandon Gormley	Cody Goloubef

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Chris Terry	Anton Lander	Emerson Etem	Brandon Gormley	Cody Goloubef

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Anton Lander, Chris Terry, Emerson Etem	Anton Lander, Chris Terry	Anton Lander

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brandon Gormley, Cody Goloubef, Tim Erixon	Cody Goloubef	Cody Goloubef, Brandon Gormley

Tirs de Pénalité
Anton Lander, Emerson Etem, Chris Terry, Taylor Beck, Phillip Danault

Gardien
#1 : Christopher Gibson, #2 : Chris Driedger

Lignes d'Attaque Perso. en Prol.
Anton Lander, Chris Terry, Emerson Etem, Phillip Danault, Laurent Dauphin, Jeremy Welsh, Jeremy Welsh, Taylor Beck, Daniel Zaar, Zack Phillips, Brett Bulmer

Lignes de Défense Perso. en Prol.
Cody Goloubef, Julius Honka, Tim Erixon, Corbin McPherson, Brandon Gormley

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

#	VS Équipe	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	Monsters	5	1	4	9	11	-2	2	0.200	9	15	24	2	4	3	204	60	66	67	11	194	75	201	158	8	2	25.00%	13	3	76.92%	64	107	59.81%	70	122	57.38%	39	68	57.35%	130	84	114	44	87	44
	Vs Division	5	1	4	9	11	-2	2	0.200	9	15	24	2	4	3	204	60	66	67	11	194	75	201	158	8	2	25.00%	13	3	76.92%	64	107	59.81%	70	122	57.38%	39	68	57.35%	130	84	114	44	87	44
	Vs Conference	5	1	4	9	11	-2	2	0.200	9	15	24	2	4	3	204	60	66	67	11	194	75	201	158	8	2	25.00%	13	3	76.92%	64	107	59.81%	70	122	57.38%	39	68	57.35%	130	84	114	44	87	44
	Since Last GM Reset	5	1	4	9	11	-2	2	0.200	9	15	24	2	4	3	204	60	66	67	11	194	75	201	158	8	2	25.00%	13	3	76.92%	64	107	59.81%	70	122	57.38%	39	68	57.35%	130	84	114	44	87	44
	Total	5	1	4	9	11	-2	2	0.200	9	15	24	2	4	3	204	60	66	67	11	194	75	201	158	8	2	25.00%	13	3	76.92%	64	107	59.81%	70	122	57.38%	39	68	57.35%	130	84	114	44	87	44

			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
5	2	OTL1	9	15	24	204	194	75	201	158	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	9	11

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	3	6

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	6	5

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	2	0	2	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
8	2	25.00%	13	3	76.92%	0

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
60	66	67	11	2	4	3	0

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
64	107	59.81%	70	122	57.38%	39	68	57.35%

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
130	84	114	44	87	44

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

Date	Matchup		Result	Detail
Fri, May 22	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Comets1,Monsters2 (OT)	RECAP
Sun, May 24	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Comets4,Monsters1	RECAP
Tue, May 26	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Monsters4,Comets2	RECAP
Thu, May 28	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Monsters2,Comets1	RECAP
Sat, May 30	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-Playoffs/ScheduleSub.php on line 29	@	Comets1,Monsters2 (OT)	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
39	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,630,000$	870,000$	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