Profi League - Marlies

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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	Mark McNeill (R)	X		X		100.00	90	78	78	66	59	67	68	64	80	36	41	65	58	44	44	0	48	59	0
2	Brayden Irwin (R)	X				100.00	76	84	72	54	59	68	58	56	61	34	36	62	65	54	60	0	49	55	0
3	Chase Balisy	X	X	X		100.00	60	63	69	66	50	69	65	57	65	32	33	59	50	44	44	0	47	52	0
4	Kenny Ryan			X		100.00	73	73	75	61	56	64	63	54	65	28	33	55	50	44	44	0	47	52	0
5	Cole Ully (R)		X	X		100.00	64	66	71	64	51	50	60	56	67	32	34	60	50	44	44	0	47	51	0
6	Ben Johnson (R)		X			100.00	67	68	72	62	52	48	56	58	64	30	39	55	56	44	44	0	47	51	0
7	Blake Coleman	X				100.00	58	69	60	59	53	48	57	58	67	32	38	57	51	44	44	0	47	50	0
8	Greger Hanson		X			100.00	57	66	59	58	51	50	59	53	59	27	31	52	50	44	44	0	47	48	0
9	Shane Bakker	X				100.00	54	78	56	63	59	47	56	52	64	25	31	48	50	44	44	0	47	48	0
10	Joel Rechlicz			X		100.00	56	83	56	55	59	49	59	52	65	27	27	50	50	44	44	0	48	47	0
11	Ryan Cruthers	X				100.00	45	38	61	54	62	55	41	45	33	32	31	48	40	61	56	0	44	46	0
12	Mike Liambas		X			100.00	52	70	55	62	53	50	59	52	59	26	28	45	50	44	44	0	47	46	0
13	Darren Dietz (R)				X	100.00	79	94	72	65	72	69	87	69	25	43	40	70	50	49	45	0	40	63	0
14	Anthony DeAngelo (R)				X	100.00	55	64	61	73	55	61	66	67	25	39	31	54	50	55	55	0	37	55	0
15	Calle Andersson (R)				X	100.00	62	79	69	70	63	58	63	56	25	25	33	63	50	49	44	0	51	53	0
16	Jan Kostalek (R)				X	100.00	59	68	67	66	57	59	64	55	25	26	27	58	50	46	46	0	47	51	0
17	Justin Holl (R)			X	X	100.00	64	66	70	63	51	53	60	56	57	32	31	59	50	44	44	0	47	51	0
18	Robert Hagg (R)				X	100.00	58	75	65	66	60	68	69	53	25	24	28	56	50	45	45	0	47	51	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	63	71	66	63	57	57	62	56	52	31	33	56	51	47	46	0	46	52

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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	Mason McDonald (R)	99.00	59	67	72	76	63	69	62	67	67	62	45	50	50	0	47	63	0
2	Pat Nagle (R)	100.00	46	50	59	74	51	48	46	48	50	45	46	51	53	0	44	50	0
Rayé
1	Jeff Lerg	100.00	62	63	63	66	69	75	68	69	68	68	56	55	55	0	48	65	0

	MOYENNE D'ÉQUIPE	99.67	56	60	65	72	61	64	59	61	62	58	49	52	53	0	46	59

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Sheldon Keefe	76	77	84	71	60	65	99	CAN	35	5	100,000$

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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

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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	PKM	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Darren Dietz	Marlies (TOR)		D	4	1	3	4	-6	57	35	11	22	4	7	4.55%	10	23.:.06	1	0	1	0	1	0	0.00%	0	9	10	0	0	0.87	0
2	Mark McNeill	Marlies (TOR)		C/RW	4	3	1	4	-7	5	5	14	21	8	12	14.29%	6	21.:.27	0	1	1	0	1	0	61.67%	60	10	1	0	0	0.93	0
3	Anthony DeAngelo	Marlies (TOR)		D	4	0	2	2	-8	0	0	4	14	4	3	0.00%	9	26.:.18	0	0	0	0	1	0	0.00%	0	2	7	0	0	0.38	0
4	Chase Balisy	Marlies (TOR)		C/LW/RW	4	1	1	2	-6	2	0	4	9	2	6	11.11%	3	24.:.24	0	0	0	0	1	0	42.11%	19	7	4	0	0	0.41	0
5	Blake Coleman	Marlies (TOR)		C	4	0	1	1	-2	0	0	5	7	1	6	0.00%	0	13.:.05	0	0	0	0	0	0	59.09%	22	2	3	0	0	0.38	0
6	Cole Ully	Marlies (TOR)		LW/RW	4	0	1	1	-3	0	0	9	5	3	11	0.00%	1	22.:.06	0	0	0	0	1	0	50.00%	4	10	2	0	0	0.23	0
7	Jan Kostalek	Marlies (TOR)		D	4	0	1	1	0	0	0	2	3	1	0	0.00%	7	20.:.03	0	0	0	0	0	0	0.00%	0	0	4	0	0	0.25	0
8	Justin Holl	Marlies (TOR)		RW/D	4	1	0	1	-5	0	0	8	6	2	3	16.67%	2	21.:.23	0	0	0	0	1	0	0.00%	1	3	4	0	0	0.23	0
9	Kenny Ryan	Marlies (TOR)		RW	4	0	1	1	-8	0	0	8	1	2	3	0.00%	5	23.:.40	0	1	1	0	1	0	57.14%	7	3	3	0	0	0.21	0
10	Brayden Irwin	Marlies (TOR)		C	4	1	0	1	-4	20	20	11	10	4	6	10.00%	1	21.:.49	0	0	0	0	0	0	52.27%	88	4	7	0	0	0.23	0
11	Ryan Cruthers	Marlies (TOR)		C	4	0	0	0	0	0	0	0	1	0	0	0.00%	0	04.:.06	0	0	0	0	0	0	50.00%	4	0	0	0	0	0.00	0
12	Calle Andersson	Marlies (TOR)		D	4	0	0	0	-5	22	10	6	8	2	4	0.00%	9	23.:.49	0	0	0	0	0	0	0.00%	0	4	4	0	0	0.00	0
13	Ben Johnson	Marlies (TOR)		LW	4	0	0	0	-6	0	0	10	9	1	5	0.00%	2	17.:.01	0	0	0	0	0	0	0.00%	0	7	1	0	0	0.00	0
14	Mike Liambas	Marlies (TOR)		LW	4	0	0	0	-1	0	0	2	0	0	0	0.00%	0	07.:.02	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
15	Joel Rechlicz	Marlies (TOR)		RW	4	0	0	0	0	10	10	2	1	0	0	0.00%	1	05.:.29	0	0	0	0	0	0	0.00%	0	1	1	0	0	0.00	0
16	Robert Hagg	Marlies (TOR)		D	4	0	0	0	-9	0	0	3	3	2	0	0.00%	2	22.:.30	0	0	0	0	0	0	0.00%	0	0	2	0	0	0.00	0
17	Greger Hanson	Marlies (TOR)		LW	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.54	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
18	Shane Bakker	Marlies (TOR)		C	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.37	0	0	0	0	0	0	0.00%	1	0	1	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		72	7	11	18	-70	116	80	99	111	120	36	66	5.83%	58	1195	16.61	1	2	3	18	113	0	12	0	0	54.37%	206	62	54	0	0.30	0	0	4	4	8	0	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

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#	Nom du Gardien	Nom de l'Équipe	GP	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S2	S3
1	Mason McDonald	Marlies (TOR)	4	3	0	85.5%	5.43	188	0	0	17	117	63	0	0.0%	0	3	1	1	0
2	Pat Nagle	Marlies (TOR)	1	1	0	82.6%	4.80	50	0	0	4	23	13	0	0.0%	0	1	3	0	0
Stats d'équipe Total ou en Moyenne	5	0	4	0.850	5.27	239	0	0	21	140	76	0	0	0.000	4	4	0	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	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
Anthony DeAngelo	D	20	24.10.1995	Yes	175 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
Ben Johnson	LW	22	07.06.1994	Yes	187 Lbs	6 ft0	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
Blake Coleman	C	24	28.11.1991 15:45:20	No	198 Lbs	5 ft10	No	No	9	Pro & Farm	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Brayden Irwin	C	28	24.03.1988 7:45:01	Yes	215 Lbs	6 ft5	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$
Calle Andersson	D	22	16.05.1994	Yes	216 Lbs	6 ft2	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
Chase Balisy	C/LW/RW	24	02.02.1992	No	170 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
Cole Ully	LW/RW	21	20.02.1995 15:46:38	Yes	181 Lbs	5 ft11	No	No	9	Pro & Farm	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Darren Dietz	D	23	17.07.1993	Yes	204 Lbs	6 ft1	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Greger Hanson	LW	28	17.02.1988	No	185 Lbs	5 ft10	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Jan Kostalek	D	21	16.02.1995	Yes	181 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
Jeff Lerg	G	30	09.04.1986	No	163 Lbs	5 ft6	No	No	1	Pro & Farm	500,000$	0$										Lien
Joel Rechlicz	RW	29	14.06.1987	No	220 Lbs	6 ft4	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Justin Holl	RW/D	24	30.01.1992	Yes	170 Lbs	6 ft2	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
Kenny Ryan	RW	25	10.07.1991 3:30:31	No	204 Lbs	6 ft0	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Mark McNeill	C/RW	23	22.02.1993 3:35:38	Yes	214 Lbs	6 ft2	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Mason McDonald	G	20	23.04.1996 1:19:01	Yes	201 Lbs	6 ft4	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$
Mike Liambas	LW	27	16.02.1989	No	204 Lbs	5 ft9	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Pat Nagle	G	29	21.09.1987	Yes	169 Lbs	6 ft2	No	No	1	Pro & Farm	1,100,000$	0$
Robert Hagg	D	21	08.02.1995	Yes	204 Lbs	6 ft2	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
Ryan Cruthers	C	32	04.07.1984	No	175 Lbs	6 ft0	No	No	1	Pro & Farm	1,100,000$	0$
Shane Bakker	C	28	11.11.1987	No	209 Lbs	6 ft4	No	No	1	Pro & Farm	1,100,000$	0$										Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	24.81	193 Lbs	6 ft1	5.7619047619048	447,619$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Brayden Irwin			40	1	2	2
2	Mark McNeill	Kenny Ryan		30	1	2	2
3	Chase Balisy		Kenny Ryan	20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Brayden Irwin			60	1	2	2
2	Mark McNeill	Kenny Ryan		40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2	Brayden Irwin	Mark McNeill	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2	Brayden Irwin	Mark McNeill	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Brayden Irwin

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Brayden Irwin

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kenny Ryan, Chase Balisy,	Kenny Ryan, Chase Balisy

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , Brayden Irwin, Mark McNeill,

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
, , Brayden Irwin, Mark McNeill, , Kenny Ryan, Kenny Ryan, Chase Balisy, , ,

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

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#	VS Équipe	GP	L	GF	GA	Diff	G	A	TP	GP1	GP2	SHF	SH1	SP2	SP3	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	Senators	1	1	1	6	-5	1	2	3	1	6	32	46	37	37	34	12	10	25	3	1	33.33%	0	0	0.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
2	Wolves	1	1	3	5	-2	3	5	8	1	6	28	46	37	37	40	20	22	24	2	0	0.00%	1	0	100.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
3	IceHogs	1	1	2	8	-6	2	3	5	1	6	27	46	37	37	28	11	45	26	1	0	0.00%	0	0	0.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
4	Monarchs	1	1	1	2	-1	1	1	2	1	6	33	46	37	37	38	15	39	24	7	0	0.00%	2	1	50.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
	Vs Division	1	1	1	6	-5	1	2	3	1	6	32	46	37	37	34	12	10	25	3	1	33.33%	0	0	0.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
	Vs Conference	1	1	1	6	-5	1	2	3	1	6	32	46	37	37	34	12	10	25	3	1	33.33%	0	0	0.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
	Since Last GM Reset	4	4	7	21	-14	7	11	18	1	6	120	46	37	37	140	58	116	99	13	1	7.69%	3	1	66.67%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
	Total	4	4	7	21	-14	7	11	18	1	6	120	46	37	37	140	58	116	99	13	1	7.69%	3	1	66.67%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35

			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	0	L4	7	11	18	120	140	58	116	99	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	7	21

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	13

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	8

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	4	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
13	1	7.69%	3	1	66.67%	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
46	37	37	0	1	6	0	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
37	70	52.86%	46	75	61.33%	29	61	47.54%

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
73	40	96	35	69	35

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	@	Marlies1,Monarchs2	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	@	Marlies1,Senators6	RECAP
Sun, Dec 21	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	@	Wolves5,Marlies3	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	@	IceHogs8,Marlies2	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
940,000$	230,000$	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