Profi League - Bulldogs

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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	Dainius Zubrus		X			100.00	69	45	83	68	93	74	67	64	60	40	41	67	50	94	99	0	45	66	0
2	Danny Kristo			X		100.00	82	71	78	75	55	70	68	64	83	35	39	66	56	44	44	0	44	59	0
3	Jacob De La Rose	X	X			100.00	71	45	67	79	59	58	68	62	80	39	39	66	50	49	50	0	51	58	0
4	Colin McDonald			X		100.00	72	79	64	72	59	65	67	61	78	36	38	59	51	59	60	0	51	58	0
5	Sean B. Collins	X	X			100.00	63	72	70	70	55	70	67	59	71	37	39	62	54	53	54	0	51	57	0
6	Max Gortz (R)			X		100.00	65	74	71	66	56	58	61	59	76	38	37	62	50	44	44	0	51	55	0
7	Brandon DeFazio		X			100.00	60	75	63	64	57	71	67	61	75	33	39	58	56	44	44	0	51	54	0
8	Gabriel Dumont	X		X		100.00	57	65	60	68	50	69	65	61	69	38	38	57	50	45	46	0	50	54	0
9	Ryan Murray				X	100.00	69	43	82	87	73	90	69	78	25	46	40	78	50	65	61	0	45	68	0
10	Michael Paliotta (R)				X	100.00	62	77	69	69	62	61	65	61	25	30	33	64	50	49	44	0	51	55	0
Rayé
1	Anton Slepyshev (R)		X	X		100.00	64	44	67	70	55	51	60	62	60	39	38	57	50	45	45	0	51	54	0
2	Scott Kosmachuk (R)			X		100.00	61	67	60	60	51	69	66	60	68	44	38	57	50	44	44	0	51	54	0
3	John Kurtz		X			100.00	56	76	57	65	58	54	61	52	64	25	27	50	50	44	44	0	51	48	0
4	Brett Gallant		X			100.00	52	70	55	60	53	60	61	52	59	26	27	45	50	44	44	0	51	47	0
5	Greg Pateryn				X	100.00	83	94	69	75	80	74	75	69	25	41	38	74	50	50	51	0	48	65	0
6	Petter Granberg				X	100.00	88	67	83	72	73	63	67	55	25	30	34	69	50	49	49	0	50	59	0
7	Jared Nightingale				X	100.00	55	77	58	68	61	58	63	55	25	26	29	53	50	44	44	0	51	50	0
8	Mac Bennett				X	100.00	55	67	62	60	56	63	67	53	25	24	27	52	50	44	44	0	50	49	0

	MOYENNE D'ÉQUIPE					100.00	66	67	68	69	61	65	66	60	55	35	36	61	51	51	51	0	50	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
Rayé
1	Yann Danis	100.00	68	85	68	71	75	66	64	62	63	72	51	65	65	0	48	67	0
2	Jeff Malcolm	94.00	71	74	67	74	76	57	66	58	59	77	51	55	55	0	49	64	0

	MOYENNE D'ÉQUIPE	97.00	70	80	68	73	76	62	65	60	61	75	51	60	60	0	49	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Sylvain Lefebvre	62	62	65	67	60	60	74	CAN	48	5	100,000$

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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	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Petter Granberg	Bulldogs (MTL)		D	4	3	3	6	2	0	0	8	29	13	13	10.34%	9	15.:.55	0	0	0	0	0	0	0.00%	0	10	12	0	0	1.88	0
2	Brandon DeFazio	Bulldogs (MTL)		LW	4	2	2	4	-2	7	5	9	23	6	9	8.70%	10	15.:.37	0	0	0	0	0	0	50.00%	2	14	9	0	0	1.28	0
3	Gabriel Dumont	Bulldogs (MTL)		C/RW	4	1	3	4	-2	0	0	6	24	7	16	4.17%	6	15.:.46	0	0	0	0	0	1	45.28%	53	10	6	0	0	1.27	0
4	Danny Kristo	Bulldogs (MTL)		RW	4	1	2	3	-6	10	10	6	9	5	7	11.11%	7	12.:.40	0	0	0	0	0	0	0.00%	1	13	8	0	0	1.18	0
5	Colin McDonald	Bulldogs (MTL)		RW	4	2	0	2	-5	5	5	15	14	6	18	14.29%	16	20.:.38	1	0	1	0	1	0	50.00%	2	23	10	0	0	0.48	0
6	Mac Bennett	Bulldogs (MTL)		D	4	0	1	1	-2	0	0	0	11	8	4	0.00%	8	10.:.23	0	0	0	0	0	0	0.00%	0	2	5	0	0	0.48	0
7	Sean B. Collins	Bulldogs (MTL)		C/LW	4	0	0	0	-3	5	5	3	7	2	7	0.00%	9	08.:.25	0	0	0	0	0	0	100.00%	1	11	5	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		28	9	11	20	-18	27	25	47	70	117	47	74	7.69%	65	397	14.20	1	0	1	11	22	0	0	1	1	45.76%	59	83	55	0	1.01	0	0	0	2	3	0	2	1

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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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jeff Malcolm	Bulldogs (MTL)	4	1	2	0	87.8%	4.68	231	0	0	18	147	93	0	0	0.0%	0	4	0	1	0	0
Stats d'équipe Total ou en Moyenne	4	1	2	0	0.878	4.68	231	0	0	18	147	93	0	0	0.000	0	4	0	1	0	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 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
Anton Slepyshev	LW/RW	22	13.05.1994 2:16:53	Yes	194 Lbs	6 ft2	No	No	2	Pro & Farm	900,000$	0$	900,000$									Lien
Brandon DeFazio	LW	28	13.09.1988	No	204 Lbs	6 ft2	No	No	2	Pro & Farm	700,000$	0$	700,000$									Lien
Brett Gallant	LW	27	28.12.1988	No	194 Lbs	6 ft0	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Lien
Colin McDonald	RW	32	30.09.1984	No	219 Lbs	6 ft2	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Dainius Zubrus	LW	38	16.06.1978	No	225 Lbs	6 ft4	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Danny Kristo	RW	26	18.06.1990 9:23:21	No	195 Lbs	6 ft0	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Gabriel Dumont	C/RW	26	06.10.1990	No	184 Lbs	5 ft10	No	No	1	Pro & Farm	700,000$	0$										Lien
Greg Pateryn	D	26	01.06.1990 9:24:17	No	222 Lbs	6 ft2	No	No	2	Pro & Farm	1,600,000$	0$	1,600,000$									Lien
Jacob De La Rose	C/LW	21	20.05.1995 1:10:20	No	207 Lbs	6 ft3	No	No	2	Pro & Farm	900,000$	0$	900,000$									Lien
Jared Nightingale	D	34	03.10.1982	No	205 Lbs	6 ft3	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Lien
Jeff Malcolm	G	27	13.04.1989	No	179 Lbs	6 ft2	No	No	2	Pro & Farm	700,000$	0$	700,000$									Lien
John Kurtz	LW	27	16.05.1989	No	209 Lbs	6 ft2	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Lien
Mac Bennett	D	25	25.03.1991	No	182 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
Max Gortz	RW	23	28.01.1993	Yes	196 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
Michael Paliotta	D	23	05.04.1993	Yes	207 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
Petter Granberg	D	24	27.08.1992 3:33:04	No	200 Lbs	6 ft3	No	No	1	Pro & Farm	900,000$	0$										Lien
Ryan Murray	D	23	27.09.1993 3:35:30	No	208 Lbs	6 ft1	No	No	1	Pro & Farm	1,500,000$	0$										Lien
Scott Kosmachuk	RW	22	24.01.1994	Yes	185 Lbs	5 ft11	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Sean B. Collins	C/LW	27	29.12.1988 0:59:25	No	198 Lbs	6 ft1	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Yann Danis	G	35	09.08.1981	No	185 Lbs	6 ft0	No	No	1	Pro & Farm	900,000$	0$										Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	26.80	200 Lbs	6 ft2	3.55	685,000$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Dainius Zubrus	Jacob De La Rose	Colin McDonald	40	1	2	2
2	Gabriel Dumont	Brandon DeFazio		30	1	2	2
3			Danny Kristo	20	1	2	2
4		Sean B. Collins	Dainius Zubrus	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan Murray	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	Dainius Zubrus	Jacob De La Rose	Colin McDonald	60	1	2	2
2	Gabriel Dumont	Brandon DeFazio		40	1	2	2

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

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Dainius Zubrus	Colin McDonald	60	1	2	2
2	Jacob De La Rose		40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan Murray	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	Dainius Zubrus	60	1	2	2		Ryan Murray	60	1	2	2
2	Colin McDonald	40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Dainius Zubrus	Colin McDonald	60	1	2	2
2	Jacob De La Rose		40	1	2	2

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

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Dainius Zubrus	Jacob De La Rose	Colin McDonald		Ryan Murray

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Dainius Zubrus	Jacob De La Rose	Colin McDonald		Ryan Murray

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Danny Kristo, ,	Danny Kristo,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
Dainius Zubrus, Colin McDonald, Jacob De La Rose, , Danny Kristo

Gardien
#1 : , #2 :

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

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

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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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#	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%	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	Penguins	1	0	1	1	12	-11	0	0.000	1	2	3	4	2	3	31	42	35	51	41	26	15	12	0	0	0.00%	0	0.00%	15	68	22.06%	15	68	22.06%	17	54	31.48%	72	49	113	31	54	22
2	Bruins	1	0	1	5	11	-6	0	0.000	5	6	11	4	2	3	31	42	35	51	40	18	10	14	4	1	25.00%	0	0.00%	15	68	22.06%	15	68	22.06%	17	54	31.48%	72	49	113	31	54	22
3	Americans	1	0	1	1	2	-1	0	0.000	1	2	3	4	2	3	30	42	35	51	35	19	0	12	4	0	0.00%	0	0.00%	15	68	22.06%	15	68	22.06%	17	54	31.48%	72	49	113	31	54	22
4	Pirates	1	1	0	2	1	1	2	1.000	2	3	5	4	2	3	36	42	35	51	40	15	2	16	2	0	0.00%	1	100.00%	15	68	22.06%	15	68	22.06%	17	54	31.48%	72	49	113	31	54	22
	Vs Division	2	0	2	2	14	-12	0	0.000	2	4	6	4	2	3	61	42	35	51	76	45	15	24	4	0	0.00%	0	0.00%	15	68	22.06%	15	68	22.06%	17	54	31.48%	72	49	113	31	54	22
	Vs Conference	3	0	3	7	25	-18	0	0.000	7	10	17	4	2	3	92	42	35	51	116	63	25	38	8	1	12.50%	0	0.00%	15	68	22.06%	15	68	22.06%	17	54	31.48%	72	49	113	31	54	22
	Since Last GM Reset	4	1	3	9	26	-17	2	0.250	9	13	22	4	2	3	128	42	35	51	156	78	27	54	10	1	10.00%	1	100.00%	15	68	22.06%	15	68	22.06%	17	54	31.48%	72	49	113	31	54	22
	Total	4	1	3	9	26	-17	2	0.250	9	13	22	4	2	3	128	42	35	51	156	78	27	54	10	1	10.00%	1	100.00%	15	68	22.06%	15	68	22.06%	17	54	31.48%	72	49	113	31	54	22

			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	2	L2	9	13	22	128	156	78	27	54	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	9	26

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	3	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	6	23

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	3	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
10	1	10.00%	1	0	100.00%	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
42	35	51	0	4	2	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
15	68	22.06%	15	68	22.06%	17	54	31.48%

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
72	49	113	31	54	22

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!
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	@	Americans2,Bulldogs1	RECAP
Fri, Dec 19	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	@	Pirates1,Bulldogs2	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	@	Bulldogs1,Penguins12	RECAP
Tue, Dec 23	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	@	Bulldogs5,Bruins11	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
1,370,000$	730,000$	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