Profi League - Comets

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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	Eric Tangradi		X			100.00	85	83	65	67	90	67	70	65	85	38	41	68	58	59	60	0	51	63	0
2	Chris Terry		X	X		100.00	69	43	67	74	53	55	74	66	60	40	44	60	71	59	59	0	51	59	0
3	Phillip Danault	X	X			100.00	64	43	67	68	55	59	77	67	87	41	41	60	50	49	49	0	51	57	0
4	Joel Armia			X		100.00	68	44	67	70	55	58	68	65	60	41	41	61	50	48	48	0	51	56	0
5	Taylor Beck		X	X		100.00	61	75	63	68	57	65	63	61	77	36	39	59	56	55	56	0	54	56	0
6	Jeremy Morin		X	X		100.00	59	69	62	67	53	64	62	60	72	38	37	58	50	55	56	0	51	55	0
7	Tyler Pitlick			X		100.00	67	73	72	69	56	56	61	58	76	37	35	62	50	46	46	0	51	55	0
8	Brett Bulmer		X	X		100.00	71	80	64	72	59	64	63	54	68	30	29	59	50	45	45	0	51	54	0
9	Zack Phillips	X		X		100.00	80	70	77	67	54	65	63	55	66	32	32	60	50	44	44	0	51	54	0
10	Laurent Dauphin (R)	X				100.00	60	67	60	68	51	56	61	56	65	37	41	62	50	44	44	0	51	53	0
11	Daniel Zaar (R)			X		100.00	59	61	69	66	49	57	61	60	68	35	39	60	56	44	44	0	51	53	0
12	Drayson Bowman		X			100.00	59	72	61	72	55	58	61	55	65	29	33	56	50	61	61	0	51	53	0
13	Sebastian Collberg (R)			X		100.00	68	67	73	69	52	59	61	55	65	32	30	59	50	44	44	0	51	52	0
14	Dylan McIlrath				X	100.00	81	99	62	72	95	67	73	69	25	39	39	73	50	61	61	0	46	65	0
15	Cody Goloubef				X	100.00	67	43	83	73	69	69	64	66	25	43	38	73	50	56	56	0	51	61	0
16	Brandon Gormley				X	100.00	67	43	85	80	69	59	74	69	25	39	38	70	50	50	50	0	51	61	0
17	Julius Honka (R)				X	100.00	56	67	62	74	56	69	71	68	25	39	33	56	50	55	55	0	51	57	0
18	Tim Erixon				X	100.00	58	75	65	72	60	66	68	61	25	33	29	58	50	55	55	0	51	55	0
Rayé
1	Duncan Siemens				X	95.16	55	77	58	71	61	65	68	53	25	24	27	55	50	55	55	0	42	52	0

	MOYENNE D'ÉQUIPE					99.74	66	66	67	70	60	62	66	61	56	36	36	62	52	52	52	0	50	56

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	Christopher Gibson	99.00	70	74	66	73	69	73	67	71	70	67	48	56	56	0	51	66	0
2	Chris Driedger (R)	100.00	69	74	78	73	66	68	68	66	66	69	44	61	61	0	51	66	0
Rayé
1	Joe Cannata (R)	100.00	66	73	70	73	67	71	65	69	68	65	45	55	55	0	46	65	0
2	Daniel Altshuller (R)	100.00	63	71	76	72	65	70	64	67	64	62	46	55	55	0	46	63	0

	MOYENNE D'ÉQUIPE	99.75	67	73	73	73	67	71	66	68	67	66	46	57	57	0	49	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	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Eric Tangradi	Comets (VAN)		LW	4	2	2	4	0	2	0	10	8	2	4	25.00%	5	19.:.37	0	1	1	0	1	1	6	0	0	71.43%	7	5	2	0	0	1.02	0
2	Joel Armia	Comets (VAN)		RW	4	1	2	3	1	0	0	9	12	8	9	8.33%	0	21.:.19	0	1	1	0	0	0	2	1	0	50.00%	2	15	0	0	0	0.70	0
3	Brandon Gormley	Comets (VAN)		D	4	1	2	3	-2	2	0	8	14	6	10	7.14%	6	27.:.20	0	0	0	1	0	1	3	0	0	0.00%	0	8	10	0	0	0.55	0
4	Phillip Danault	Comets (VAN)		C/LW	4	1	1	2	-1	2	0	4	10	2	4	10.00%	1	15.:.24	1	0	1	0	0	0	0	0	0	65.62%	32	8	1	0	0	0.65	0
5	Tyler Pitlick	Comets (VAN)		RW	4	0	2	2	1	2	0	10	9	2	2	0.00%	4	19.:.25	0	0	0	0	0	0	2	0	0	50.77%	65	4	1	0	0	0.52	0
6	Chris Terry	Comets (VAN)		LW/RW	4	1	1	2	0	0	0	10	13	5	15	7.69%	5	22.:.18	0	0	0	0	0	0	5	0	0	60.00%	10	14	1	0	0	0.45	0
7	Laurent Dauphin	Comets (VAN)		C	4	1	0	1	0	0	0	6	4	1	7	25.00%	0	13.:.58	0	0	0	0	0	0	2	1	0	42.86%	28	4	1	0	0	0.36	0
8	Taylor Beck	Comets (VAN)		LW/RW	4	1	0	1	1	7	5	5	7	1	5	14.29%	3	18.:.56	0	0	0	0	0	0	1	0	1	100.00%	4	5	3	0	0	0.26	0
9	Dylan McIlrath	Comets (VAN)		D	4	0	1	1	2	47	25	8	15	7	3	0.00%	8	21.:.10	0	0	0	0	0	0	4	0	0	0.00%	0	4	5	0	0	0.24	0
10	Jeremy Morin	Comets (VAN)		LW/RW	4	0	0	0	-2	0	0	4	1	0	1	0.00%	0	07.:.30	0	0	0	0	0	0	2	0	0	100.00%	1	3	1	0	0	0.00	0
11	Brett Bulmer	Comets (VAN)		LW/RW	2	0	0	0	0	0	0	3	1	0	2	0.00%	0	13.:.25	0	0	0	0	0	0	0	0	0	50.00%	2	0	1	0	0	0.00	0
12	Cody Goloubef	Comets (VAN)		D	4	0	0	0	1	0	0	3	6	1	2	0.00%	2	14.:.56	0	0	0	0	0	0	0	0	0	0.00%	0	1	4	0	0	0.00	0
13	Daniel Zaar	Comets (VAN)		RW	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.54	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0	0	0.00	0
14	Duncan Siemens	Comets (VAN)		D	4	0	0	0	1	5	5	2	1	0	0	0.00%	4	15.:.01	0	0	0	0	0	0	5	0	0	0.00%	0	0	3	0	0	0.00	0
15	Drayson Bowman	Comets (VAN)		LW	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.54	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
16	Julius Honka	Comets (VAN)		D	4	0	0	0	-1	2	0	1	2	3	2	0.00%	5	20.:.00	0	0	0	0	0	0	6	0	0	0.00%	0	0	4	0	0	0.00	0
17	Tim Erixon	Comets (VAN)		D	4	0	0	0	-1	0	0	2	4	2	1	0.00%	3	21.:.37	0	0	0	0	0	0	3	0	0	0.00%	0	2	3	0	0	0.00	0
18	Sebastian Collberg	Comets (VAN)		RW	4	0	0	0	-1	0	0	1	1	1	0	0.00%	0	13.:.14	0	0	0	0	0	0	0	0	0	33.33%	3	1	0	0	0	0.00	0
19	Zack Phillips	Comets (VAN)		C/RW	4	0	0	0	0	0	0	10	2	0	1	0.00%	2	16.:.39	0	0	0	0	0	0	0	0	0	53.85%	26	0	3	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		74	8	11	19	-1	69	35	96	102	110	41	68	7.27%	48	1188	16.06	1	2	3	8	51	1	1	2	5	46	2	1	54.70%	181	74	43	0	0.32	0	0	2	2	3	1	2	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

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#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Christopher Gibson	Comets (VAN)	3	1	2	0	92.6%	2.68	179	0	0	8	108	79	0	0.0%	0	3	1	0	0	0
2	Chris Driedger	Comets (VAN)	1	1	0	0	96.9%	1.00	60	0	0	1	32	21	0	0.0%	0	1	3	1	0	0
Stats d'équipe Total ou en Moyenne	4	2	2	0	0.936	2.26	239	0	0	9	140	100	0	0	0.000	4	4	1	0	0

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	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	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
Brandon Gormley	D	24	18.02.1992 3:41:18	No	196 Lbs	6 ft2	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Lien
Brett Bulmer	LW/RW	24	26.04.1992 5:58:15	No	212 Lbs	6 ft4	No	No	2	Pro & Farm	600,000$	0$	600,000$									Lien
Chris Driedger	G	22	18.05.1994	Yes	200 Lbs	6 ft3	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Chris Terry	LW/RW	27	07.04.1989	No	195 Lbs	5 ft10	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Christopher Gibson	G	23	27.12.1992	No	188 Lbs	6 ft1	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Cody Goloubef	D	26	30.11.1989	No	195 Lbs	6 ft1	No	No	2	Pro & Farm	1,600,000$	0$	1,600,000$									Lien
Daniel Altshuller	G	22	24.07.1994	Yes	205 Lbs	6 ft3	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Daniel Zaar	RW	22	23.04.1994	Yes	167 Lbs	5 ft11	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Drayson Bowman	LW	27	08.03.1989	No	195 Lbs	6 ft1	No	No	1	Pro & Farm	600,000$	0$										Lien
Duncan Siemens	D	23	07.09.1993	No	205 Lbs	6 ft3	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Dylan McIlrath	D	24	20.04.1992 3:43:32	No	220 Lbs	6 ft5	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Eric Tangradi	LW	27	10.02.1989	No	221 Lbs	6 ft4	No	No	1	Pro & Farm	600,000$	0$										Lien
Jeremy Morin	LW/RW	25	16.04.1991	No	189 Lbs	6 ft1	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Joe Cannata	G	26	02.01.1990	Yes	200 Lbs	6 ft1	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Joel Armia	RW	23	31.05.1993	No	192 Lbs	6 ft3	No	No	2	Pro & Farm	1,300,000$	0$	1,300,000$									Lien
Julius Honka	D	20	03.12.1995	Yes	185 Lbs	5 ft11	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Laurent Dauphin	C	21	26.03.1995 16:41:21	Yes	180 Lbs	6 ft0	No	No	3	Pro & Farm	800,000$	0$	800,000$	800,000$								Lien
Phillip Danault	C/LW	23	24.02.1993 4:39:44	No	201 Lbs	6 ft0	No	No	2	Pro & Farm	1,300,000$	0$	1,300,000$									Lien
Sebastian Collberg	RW	22	23.02.1994	Yes	186 Lbs	5 ft11	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Taylor Beck	LW/RW	25	13.05.1991 2:27:43	No	203 Lbs	6 ft2	No	No	1	Pro & Farm	900,000$	0$										Lien
Tim Erixon	D	25	24.02.1991 4:48:07	No	200 Lbs	6 ft2	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Tyler Pitlick	RW	24	01.11.1991 4:47:09	No	202 Lbs	6 ft0	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Zack Phillips	C/RW	23	28.10.1992 4:00:37	No	194 Lbs	6 ft0	No	No	7	Farm Only	100,000$	0$	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
23	23.83	197 Lbs	6 ft1	4.4782608695652	652,174$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Tyler Pitlick	Chris Terry	Taylor Beck	40	1	2	2
2	Phillip Danault	Eric Tangradi	Joel Armia	30	1	2	2
3	Zack Phillips	Brett Bulmer	Joel Armia	20	1	2	2
4	Laurent Dauphin	Chris Terry	Sebastian Collberg	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Gormley	Tim Erixon	40	1	2	2
2	Dylan McIlrath	Julius Honka	30	1	2	2
3	Dylan McIlrath	Cody Goloubef	20	1	2	2
4		Brandon Gormley	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Tyler Pitlick	Chris Terry	Taylor Beck	60	1	2	2
2	Phillip Danault	Eric Tangradi	Joel Armia	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Gormley	Tim Erixon	60	1	2	2
2	Dylan McIlrath	Julius Honka	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Chris Terry	Eric Tangradi	60	1	2	2
2	Taylor Beck	Tyler Pitlick	40	1	2	2

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

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Chris Terry	60	1	2	2	Brandon Gormley	Tim Erixon	60	1	2	2
2	Eric Tangradi	40	1	2	2	Dylan McIlrath	Julius Honka	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Chris Terry	Eric Tangradi	60	1	2	2
2	Taylor Beck	Tyler Pitlick	40	1	2	2

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

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Tyler Pitlick	Chris Terry	Taylor Beck	Brandon Gormley	Tim Erixon

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Tyler Pitlick	Chris Terry	Taylor Beck	Brandon Gormley	Tim Erixon

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Zack Phillips, Brett Bulmer, Joel Armia	Zack Phillips, Brett Bulmer	Joel Armia

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dylan McIlrath, Brandon Gormley,	Dylan McIlrath	Brandon Gormley,

Tirs de Pénalité
Chris Terry, Eric Tangradi, Taylor Beck, Tyler Pitlick, Phillip Danault

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

Lignes d'Attaque Perso. en Prol.
Chris Terry, Taylor Beck, Tyler Pitlick, Eric Tangradi, Phillip Danault, Joel Armia, Joel Armia, Brett Bulmer, Zack Phillips, Laurent Dauphin, Sebastian Collberg

Lignes de Défense Perso. en Prol.
Brandon Gormley, Tim Erixon, Julius Honka, , Dylan McIlrath

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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#	VS Équipe	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	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	Devils	1	0	1	1	4	-3	0	0.000	1	1	2	2	2	4	19	39	34	37	44	10	5	15	0	0	0.00%	0	0	0.00%	0	35	66	53.03%	33	62	53.23%	31	53	58.49%	82	50	93	33	64	32
2	Griffins	1	0	1	1	2	-1	0	0.000	1	1	2	2	2	4	21	39	34	37	32	9	9	25	1	0	0.00%	2	1	50.00%	0	35	66	53.03%	33	62	53.23%	31	53	58.49%	82	50	93	33	64	32
3	Barons	1	1	0	4	2	2	2	1.000	4	7	11	2	2	4	34	39	34	37	32	14	12	28	3	1	33.33%	1	1	0.00%	0	35	66	53.03%	33	62	53.23%	31	53	58.49%	82	50	93	33	64	32
4	Stars	1	1	0	2	1	1	2	1.000	2	2	4	2	2	4	36	39	34	37	32	15	43	28	3	0	0.00%	4	0	100.00%	1	35	66	53.03%	33	62	53.23%	31	53	58.49%	82	50	93	33	64	32
	Vs Division	1	1	0	2	1	1	2	1.000	2	2	4	2	2	4	36	39	34	37	32	15	43	28	3	0	0.00%	4	0	100.00%	1	35	66	53.03%	33	62	53.23%	31	53	58.49%	82	50	93	33	64	32
	Vs Conference	3	2	1	7	5	2	4	0.667	7	10	17	2	2	4	91	39	34	37	96	38	64	81	7	1	14.29%	7	2	71.43%	1	35	66	53.03%	33	62	53.23%	31	53	58.49%	82	50	93	33	64	32
	Since Last GM Reset	4	2	2	8	9	-1	4	0.500	8	11	19	2	2	4	110	39	34	37	140	48	69	96	7	1	14.29%	7	2	71.43%	1	35	66	53.03%	33	62	53.23%	31	53	58.49%	82	50	93	33	64	32
	Total	4	2	2	8	9	-1	4	0.500	8	11	19	2	2	4	110	39	34	37	140	48	69	96	7	1	14.29%	7	2	71.43%	1	35	66	53.03%	33	62	53.23%	31	53	58.49%	82	50	93	33	64	32

			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
4	4	W2	8	11	19	110	140	48	69	96	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	8	9

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

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	2	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
7	1	14.29%	7	2	71.43%	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
39	34	37	0	2	2	4	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
35	66	53.03%	33	62	53.23%	31	53	58.49%

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
82	50	93	33	64	32

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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Date	Matchup		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Wed, Dec 17	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-PreSeason/ScheduleSub.php on line 29	@	Comets1,Griffins2	RECAP
Thu, Dec 18	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-PreSeason/ScheduleSub.php on line 29	@	Comets1,Devils4	RECAP
Sat, Dec 20	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-PreSeason/ScheduleSub.php on line 29	@	Stars1,Comets2	RECAP
Mon, Dec 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-PreSeason/ScheduleSub.php on line 29	@	Barons2,Comets4	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
0	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,500,000$	950,000$	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