Profi League - Pirates

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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	Tomas Nosek	X	X			100.00	69	79	64	64	59	66	64	57	73	32	36	55	50	44	44	0	42	54	0
2	Chris Brown	X	X	X		100.00	69	79	64	71	59	64	62	57	75	33	34	55	50	46	46	0	57	54	0
3	David Dziurzynski		X			100.00	58	80	58	69	59	61	61	57	75	33	35	56	50	45	45	0	39	53	0
4	Jordan Szwarz			X		100.00	59	72	61	69	55	64	62	57	68	32	35	57	50	47	47	0	48	53	0
5	Austen Brassard (R)			X		100.00	59	70	61	60	54	71	66	59	69	33	35	57	50	44	44	0	48	52	0
6	Jeremy Langlois			X		100.00	61	64	70	62	50	65	63	57	67	34	34	59	50	44	44	0	48	52	0
7	Ryan Martindale	X				100.00	62	76	70	62	58	49	59	56	75	34	35	62	50	44	44	0	48	52	0
8	Remi Elie (R)		X			100.00	60	75	62	68	57	54	60	55	66	31	32	57	50	44	44	0	48	51	0
9	Cole Cassels (R)	X				100.00	61	65	70	65	51	53	60	52	59	28	28	56	50	44	44	0	48	49	0
10	Ryan Sproul				X	100.00	89	78	98	75	76	85	84	52	25	34	33	65	50	55	55	0	49	63	0
11	Corey Potter				X	100.00	58	76	66	73	60	65	68	60	25	30	30	58	50	59	60	0	52	55	0
12	Clark Seymour (R)				X	100.00	59	77	66	61	62	57	59	60	25	29	34	59	50	47	47	0	48	52	0
13	Mike Moore				X	100.00	58	75	65	60	60	63	67	55	25	26	31	56	50	45	45	0	45	51	0
14	Aaron Harstad (R)				X	100.00	57	73	64	64	59	57	62	54	25	28	26	56	50	45	45	0	48	50	0
Rayé
1	Jeff Tambellini	X	X			100.00	71	67	74	66	52	56	60	61	69	34	42	59	59	44	44	0	48	55	0

	MOYENNE D'ÉQUIPE					100.00	63	74	68	66	58	62	64	57	55	31	33	58	51	46	47	0	48	53

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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	Niklas Treutle (R)	100.00	65	72	66	71	68	67	64	68	63	64	48	55	55	0	48	63	0
2	Eamon McAdam (R)	94.00	64	55	55	60	62	64	66	61	65	63	65	52	55	0	47	62	0

	MOYENNE D'ÉQUIPE	97.00	65	64	61	66	65	66	65	65	64	64	57	54	55	0	48	63

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Travis Green	70	68	71	69	60	61	80	CAN	45	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	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Jordan Szwarz	Pirates (ARI)		RW	4	3	1	4	-2	2	0	4	13	7	14	23.08%	2	18.:.52	0	0	0	0	0	0	0	0.00%	0	13	3	0	0	1.06	0
2	David Dziurzynski	Pirates (ARI)		LW	4	1	2	3	-3	10	10	4	15	2	6	6.67%	4	18.:.53	0	0	0	0	4	0	0	100.00%	1	7	4	0	0	0.79	0
3	Austen Brassard	Pirates (ARI)		RW	4	0	2	2	-3	0	0	5	11	4	5	0.00%	2	21.:.17	0	1	1	0	1	0	0	50.00%	6	9	5	0	0	0.47	0
4	Ryan Martindale	Pirates (ARI)		C	4	0	2	2	-3	0	0	4	14	5	6	0.00%	6	19.:.21	0	0	0	0	1	0	0	62.75%	51	6	2	0	0	0.52	0
5	Chris Brown	Pirates (ARI)		C/LW/RW	4	0	2	2	-3	35	25	8	11	6	6	0.00%	3	18.:.37	0	1	1	0	5	0	0	69.12%	68	10	2	0	0	0.54	0
6	Tomas Nosek	Pirates (ARI)		C/LW	4	1	0	1	-2	16	10	9	15	4	10	6.67%	0	21.:.28	0	0	0	0	6	0	0	75.00%	4	14	2	0	0	0.23	0
7	Ryan Sproul	Pirates (ARI)		D	4	1	0	1	-7	5	5	7	11	8	5	9.09%	8	28.:.30	1	0	1	0	7	0	0	0.00%	1	6	5	0	0	0.18	0
8	Aaron Harstad	Pirates (ARI)		D	4	0	1	1	-2	2	0	5	2	1	0	0.00%	4	19.:.06	0	0	0	0	1	0	0	0.00%	0	0	1	0	0	0.26	0
9	Remi Elie	Pirates (ARI)		LW	4	0	1	1	-4	2	0	11	8	3	9	0.00%	0	17.:.50	0	0	0	0	3	0	0	100.00%	2	8	4	0	0	0.28	0
10	Cole Cassels	Pirates (ARI)		C	4	0	0	0	-5	0	0	7	1	0	5	0.00%	1	18.:.27	0	0	0	0	6	0	0	55.81%	43	1	1	0	0	0.00	0
11	Clark Seymour	Pirates (ARI)		D	4	0	0	0	-3	2	0	4	9	6	4	0.00%	5	25.:.17	0	0	0	0	6	0	0	0.00%	0	3	11	0	0	0.00	0
12	Corey Potter	Pirates (ARI)		D	4	0	0	0	-5	10	10	4	6	1	7	0.00%	10	23.:.55	0	0	0	0	7	0	0	0.00%	0	1	7	0	0	0.00	0
13	Jeremy Langlois	Pirates (ARI)		RW	4	0	0	0	-6	2	0	7	8	3	5	0.00%	2	18.:.34	0	0	0	0	0	0	0	29.41%	17	5	4	0	0	0.00	0
14	Mike Moore	Pirates (ARI)		D	4	0	0	0	-3	17	5	5	7	0	3	0.00%	8	21.:.13	0	0	0	0	6	0	0	0.00%	0	0	1	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		56	6	11	17	-51	103	65	84	85	131	50	85	4.58%	55	1165	20.82	1	2	3	20	69	0	3	59	0	0	60.62%	193	83	52	0	0.29	0	0	5	5	3	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	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Eamon McAdam	Pirates (ARI)	4	0	4	0	86.6%	4.27	239	0	0	17	127	78	0	0	0.0%	0	4	0	0	0	0
Stats d'équipe Total ou en Moyenne	4	0	4	0	0.866	4.27	239	0	0	17	127	78	0	0	0.000	0	4	0	0	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
Aaron Harstad	D	24	27.04.1992	Yes	198 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
Austen Brassard	RW	23	14.01.1993	Yes	188 Lbs	6 ft2	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Chris Brown	C/LW/RW	25	03.02.1991 4:24:21	No	215 Lbs	6 ft2	No	No	1	Pro & Farm	800,000$	0$										Lien
Clark Seymour	D	23	18.05.1993	Yes	202 Lbs	6 ft4	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 Cassels	C	21	04.05.1995	Yes	178 Lbs	6 ft0	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
Corey Potter	D	32	05.01.1984	No	204 Lbs	6 ft3	No	No	1	Pro & Farm	1,500,000$	0$										Lien
David Dziurzynski	LW	27	06.10.1989	No	215 Lbs	6 ft3	No	No	1	Pro & Farm	700,000$	0$										Lien
Eamon McAdam	G	22	24.09.1994 1:02:52	Yes	185 Lbs	6 ft2	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
Jeff Tambellini	C/LW	32	13.04.1984	No	186 Lbs	5 ft11	No	No	1	Pro & Farm	600,000$	0$										Lien
Jeremy Langlois	RW	26	02.06.1990	No	173 Lbs	6 ft0	No	No	3	Pro & Farm	700,000$	0$	700,000$	700,000$								Lien
Jordan Szwarz	RW	24	14.05.1992 18:05:04	No	200 Lbs	5 ft11	No	No	1	Pro & Farm	700,000$	0$										Lien
Mike Moore	D	31	12.12.1984	No	209 Lbs	6 ft1	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Lien
Niklas Treutle	G	25	29.04.1991 4:10:09	Yes	185 Lbs	6 ft2	No	No	1	Pro & Farm	500,000$	0$										Lien
Remi Elie	LW	21	15.04.1995	Yes	205 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
Ryan Martindale	C	24	27.10.1991 2:24:59	No	203 Lbs	6 ft3	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Ryan Sproul	D	23	01.07.1993	No	206 Lbs	6 ft4	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Tomas Nosek	C/LW	24	01.09.1992 1:26:27	No	210 Lbs	6 ft3	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
17	25.12	198 Lbs	6 ft2	4.9411764705882	423,529$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Chris Brown	Tomas Nosek	Austen Brassard	40	0	2	3
2	Ryan Martindale	David Dziurzynski	Jordan Szwarz	30	0	2	3
3	Cole Cassels	Remi Elie	Jeremy Langlois	20	1	3	1
4	Chris Brown	Tomas Nosek	Austen Brassard	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Sproul	Corey Potter	40	2	1	2
2	Clark Seymour	Mike Moore	30	2	2	1
3	Aaron Harstad	Ryan Sproul	20	1	3	1
4	Corey Potter	Clark Seymour	10	1	3	1

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Chris Brown	Tomas Nosek	Austen Brassard	60	1	2	2
2	Ryan Martindale	David Dziurzynski	Jordan Szwarz	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Sproul	Corey Potter	60	1	2	2
2	Clark Seymour	Mike Moore	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Chris Brown	Tomas Nosek	60	1	2	2
2	Austen Brassard	David Dziurzynski	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Sproul	Corey Potter	60	1	2	2
2	Clark Seymour	Mike Moore	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Chris Brown	60	1	2	2	Ryan Sproul	Corey Potter	60	1	2	2
2	Tomas Nosek	40	1	2	2	Clark Seymour	Mike Moore	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Chris Brown	Tomas Nosek	60	1	2	2
2	Austen Brassard	David Dziurzynski	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Sproul	Corey Potter	60	1	2	2
2	Clark Seymour	Mike Moore	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Chris Brown	Tomas Nosek	Austen Brassard	Ryan Sproul	Corey Potter

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Chris Brown	Tomas Nosek	Austen Brassard	Ryan Sproul	Corey Potter

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jeremy Langlois, Remi Elie, Cole Cassels	Jeremy Langlois, Remi Elie	Cole Cassels

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Aaron Harstad, Mike Moore, Ryan Sproul	Aaron Harstad	Mike Moore, Ryan Sproul

Tirs de Pénalité
Chris Brown, Tomas Nosek, Austen Brassard, David Dziurzynski, Jordan Szwarz

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
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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	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	Wolf Pack	1	1	1	6	-5	1	2	3	5	1	18	46	48	39	34	15	41	25	1	0	0.00%	3	1	66.67%	41	69	59.42%	46	67	68.66%	30	57	52.63%	85	52	90	33	64	31
2	Bulldogs	1	1	1	2	-1	1	2	3	5	1	40	46	48	39	36	13	4	17	1	0	0.00%	2	0	100.00%	41	69	59.42%	46	67	68.66%	30	57	52.63%	85	52	90	33	64	31
3	Monsters	1	1	3	5	-2	3	5	8	5	1	37	46	48	39	31	12	56	25	2	1	50.00%	3	0	100.00%	41	69	59.42%	46	67	68.66%	30	57	52.63%	85	52	90	33	64	31
4	Sharks	1	1	1	4	-3	1	2	3	5	1	38	46	48	39	26	15	2	17	3	0	0.00%	1	0	100.00%	41	69	59.42%	46	67	68.66%	30	57	52.63%	85	52	90	33	64	31
	Vs Division	2	2	4	9	-5	4	7	11	5	1	75	46	48	39	57	27	58	42	5	1	20.00%	4	0	100.00%	41	69	59.42%	46	67	68.66%	30	57	52.63%	85	52	90	33	64	31
	Vs Conference	2	2	4	9	-5	4	7	11	5	1	75	46	48	39	57	27	58	42	5	1	20.00%	4	0	100.00%	41	69	59.42%	46	67	68.66%	30	57	52.63%	85	52	90	33	64	31
	Since Last GM Reset	4	4	6	17	-11	6	11	17	5	1	133	46	48	39	127	55	103	84	7	1	14.29%	9	1	88.89%	41	69	59.42%	46	67	68.66%	30	57	52.63%	85	52	90	33	64	31
	Total	4	4	6	17	-11	6	11	17	5	1	133	46	48	39	127	55	103	84	7	1	14.29%	9	1	88.89%	41	69	59.42%	46	67	68.66%	30	57	52.63%	85	52	90	33	64	31

			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	6	11	17	133	127	55	103	84	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	6	17

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	4	11

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
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
7	1	14.29%	9	1	88.89%	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	48	39	0	5	1	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
41	69	59.42%	46	67	68.66%	30	57	52.63%

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
85	52	90	33	64	31

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	@	Pirates1,Sharks4	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	@	Pirates1,Bulldogs2	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	@	Wolf Pack6,Pirates1	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	@	Monsters5,Pirates3	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
720,000$	240,000$	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