Profi League - Crunch

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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	Phil Di Giuseppe (R)		X	X		100.00	63	46	66	78	68	62	67	67	62	44	44	57	58	50	54	0	54	59	0
2	Liam O'Brien (R)	X				100.00	79	75	57	66	76	64	63	55	66	38	38	51	51	53	54	0	54	57	0
3	Zach Sill	X	X			100.00	74	73	62	70	55	68	65	56	67	38	42	62	50	55	55	0	51	57	0
4	Anthony Mantha		X	X		100.00	56	81	65	65	59	69	68	65	55	39	43	57	58	44	44	0	49	56	0
5	Lucas Lessio		X			100.00	73	45	68	67	59	53	65	63	58	39	40	57	90	47	47	0	51	56	0
6	Grayson Downing (R)	X				100.00	63	73	70	68	55	54	60	62	77	37	41	63	58	44	44	0	54	55	0
7	Vincent Hinostroza (R)	X		X		100.00	58	56	69	80	49	57	61	60	65	39	37	59	50	44	44	0	54	54	0
8	Charles Hudon (R)	X	X			100.00	56	63	59	61	50	70	65	62	69	37	42	57	59	44	44	0	54	54	0
9	Chandler Stephenson (R)	X				100.00	58	69	60	63	53	64	62	58	73	39	33	58	50	44	44	0	54	53	0
10	Joey Hishon	X				100.00	55	62	59	72	49	67	64	59	69	39	36	55	50	45	46	0	54	53	0
11	Cameron Darcy (R)	X				100.00	59	70	60	62	53	52	60	54	64	28	31	54	50	44	44	0	54	49	0
12	Stefan Fournier (R)			X		100.00	53	77	56	60	58	54	60	54	65	27	33	48	50	44	44	0	55	48	0
13	Connor Carrick (R)				X	100.00	76	78	76	79	66	70	88	72	25	40	42	70	50	50	50	0	55	64	0
14	Derrick Pouliot (R)				X	100.00	67	43	89	87	70	70	79	73	25	45	38	71	50	50	50	0	54	64	0
15	Taylor Chorney				X	100.00	70	54	85	78	68	62	79	59	25	40	38	73	50	58	59	0	51	62	0
16	Frank Corrado (R)				X	100.00	72	44	78	74	67	67	66	70	25	41	40	72	50	52	53	0	54	61	0
17	Taylor Aronson				X	100.00	85	75	97	60	72	84	84	52	25	41	30	64	50	49	44	0	56	60	0
18	Trevor Carrick (R)				X	100.00	56	70	63	58	58	69	71	67	25	39	33	57	50	55	55	0	54	55	0
Rayé
1	Bryce Van Brabant		X			100.00	61	76	63	62	58	64	63	54	66	29	33	57	50	44	44	0	46	51	0
2	Evan Rankin			X		100.00	70	69	74	62	53	53	60	55	66	32	28	59	50	44	44	0	46	51	0
3	Morgan Ellis (R)				X	100.00	57	74	65	62	59	65	67	68	25	35	34	59	50	55	55	0	46	55	0
4	Brenden Kichton				X	100.00	55	66	62	58	56	69	70	67	25	38	33	56	50	45	45	0	46	54	0
5	Joshua Morrissey (R)				X	100.00	56	70	62	73	58	60	65	62	25	35	28	56	50	55	55	0	46	54	0

	MOYENNE D'ÉQUIPE					100.00	64	66	68	68	60	64	67	61	50	37	36	60	53	48	49	0	52	56

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Joonas Korpisalo (R)	99.00	77	81	79	89	79	73	75	74	75	80	62	61	68	0	54	74	0
2	Jon Gillies (R)	100.00	71	61	78	68	66	64	65	68	66	64	48	66	67	0	54	65	0
Rayé
1	Parker Milner	100.00	63	69	67	73	65	71	64	67	64	63	47	55	55	0	50	63	0

	MOYENNE D'ÉQUIPE	99.67	70	70	75	77	70	69	68	70	68	69	52	61	63	0	53	67

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Derek Laxdal	78	63	81	71	60	60	70	CAN	50	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	PSG	PSS
1	Connor Carrick	Crunch (TBL)		D	4	5	2	7	5	5	5	14	20	11	12	25.00%	14	23.:.27	1	0	1	0	10	1	0	0.00%	0	3	7	0	0	1.49	0	0
2	Vincent Hinostroza	Crunch (TBL)		C/RW	4	1	3	4	2	0	0	3	5	3	5	20.00%	3	16.:.44	0	0	0	0	1	0	0	50.00%	2	13	4	0	0	1.20	0	0
3	Phil Di Giuseppe	Crunch (TBL)		LW/RW	4	0	4	4	0	2	0	5	17	11	16	0.00%	2	19.:.01	0	2	2	0	0	0	0	20.00%	5	15	3	0	0	1.05	1	1
4	Derrick Pouliot	Crunch (TBL)		D	4	0	3	3	5	0	0	3	25	12	10	0.00%	7	24.:.51	0	1	1	0	10	0	0	0.00%	0	5	9	0	0	0.60	0	0
5	Anthony Mantha	Crunch (TBL)		LW/RW	4	0	2	2	0	15	15	5	11	1	5	0.00%	0	18.:.25	0	1	1	0	1	0	0	50.00%	4	1	1	0	0	0.54	0	1
6	Taylor Chorney	Crunch (TBL)		D	4	0	2	2	0	0	0	4	10	7	5	0.00%	8	21.:.25	0	0	0	0	7	0	0	0.00%	0	6	2	0	0	0.47	0	0
7	Grayson Downing	Crunch (TBL)		C	4	1	1	2	2	4	0	7	5	3	5	20.00%	5	17.:.46	0	0	0	0	10	0	0	46.67%	60	4	4	0	0	0.56	0	0
8	Lucas Lessio	Crunch (TBL)		LW	4	1	1	2	2	4	0	9	2	2	6	50.00%	2	16.:.07	0	0	0	0	2	0	0	33.33%	3	10	2	0	0	0.62	1	1
9	Zach Sill	Crunch (TBL)		C/LW	4	2	0	2	1	0	0	7	7	1	6	28.57%	2	15.:.49	0	0	0	0	13	1	0	80.00%	5	8	2	0	0	0.63	0	0
10	Chandler Stephenson	Crunch (TBL)		C	4	0	1	1	0	0	0	4	5	1	1	0.00%	4	10.:.32	0	0	0	0	2	0	0	57.14%	14	2	1	0	0	0.47	0	0
11	Charles Hudon	Crunch (TBL)		C/LW	4	1	0	1	0	2	0	8	6	2	4	16.67%	0	20.:.06	1	0	1	0	4	0	0	50.00%	86	0	2	0	0	0.25	0	1
12	Joey Hishon	Crunch (TBL)		C	4	0	1	1	1	2	0	1	2	4	5	0.00%	1	11.:.52	0	0	0	0	0	0	0	50.00%	28	5	1	0	0	0.42	0	0
13	Liam O'Brien	Crunch (TBL)		C	4	0	0	0	1	6	0	4	2	0	3	0.00%	0	12.:.04	0	0	0	0	0	0	0	25.00%	4	1	0	0	0	0.00	0	0
14	Cameron Darcy	Crunch (TBL)		C	4	0	0	0	0	0	0	5	4	0	3	0.00%	0	09.:.36	0	0	0	0	0	0	0	50.00%	4	0	0	0	0	0.00	0	0
15	Stefan Fournier	Crunch (TBL)		RW	4	0	0	0	0	5	5	4	2	1	1	0.00%	0	09.:.57	0	0	0	0	0	0	0	100.00%	1	0	1	0	0	0.00	0	0
16	Taylor Aronson	Crunch (TBL)		D	4	0	0	0	-2	10	10	5	2	0	1	0.00%	6	14.:.40	0	0	0	0	0	0	0	0.00%	0	0	4	0	0	0.00	0	0
17	Trevor Carrick	Crunch (TBL)		D	4	0	0	0	0	0	0	4	0	1	1	0.00%	2	07.:.43	0	0	0	0	0	0	0	0.00%	0	1	2	0	0	0.00	0	0
18	Frank Corrado	Crunch (TBL)		D	4	0	0	0	0	0	0	7	14	6	7	0.00%	2	21.:.05	0	0	0	0	7	0	0	0.00%	0	6	5	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		72	11	20	31	17	55	35	99	93	139	66	96	7.91%	58	1165	16.18	2	4	6	14	72	0	1	70	2	0	49.07%	216	80	50	0	0	0.53	2	4	0	2	5	2	1	2

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

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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	S2	S3
1	Joonas Korpisalo	Crunch (TBL)	3	3	0	0	96.2%	1.30	185	0	0	4	106	62	0	0	75.0%	4	3	1	2	0
2	Jon Gillies	Crunch (TBL)	1	0	1	0	89.7%	4.00	60	0	0	4	39	26	0	0	0.0%	0	1	3	0	0
Stats d'équipe Total ou en Moyenne	4	3	1	0	0.945	1.96	245	0	0	8	145	88	0	0	0.750	4	4	4	0	2

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du Joueur	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 Mantha	LW/RW	22	16.09.1994 14:57:16	No	214 Lbs	6 ft5	No	No	3	Pro & Farm	1,100,000$	0$	1,100,000$	1,100,000$								Lien
Brenden Kichton	D	24	18.06.1992	No	185 Lbs	5 ft10	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Bryce Van Brabant	LW	24	12.11.1991	No	205 Lbs	6 ft2	No	No	1	Pro & Farm	900,000$	0$										Lien
Cameron Darcy	C	22	02.03.1994	Yes	192 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
Chandler Stephenson	C	22	22.04.1994	Yes	190 Lbs	5 ft11	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Charles Hudon	C/LW	22	23.06.1994 3:18:44	Yes	178 Lbs	5 ft10	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Connor Carrick	D	22	14.04.1994 15:34:18	Yes	185 Lbs	5 ft11	No	No	1	Pro & Farm	800,000$	0$										Lien
Derrick Pouliot	D	22	16.01.1994 14:59:48	Yes	208 Lbs	6 ft0	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Lien
Evan Rankin	RW	30	28.03.1986	No	185 Lbs	6 ft1	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Lien
Frank Corrado	D	23	26.03.1993 3:17:54	Yes	190 Lbs	6 ft0	No	No	1	Pro & Farm	600,000$	0$										Lien
Grayson Downing	C	24	17.04.1992	Yes	200 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
Joey Hishon	C	25	20.10.1991 3:21:19	No	170 Lbs	5 ft10	No	No	1	Pro & Farm	900,000$	0$										Lien
Jon Gillies	G	22	21.01.1994	Yes	216 Lbs	6 ft5	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
Joonas Korpisalo	G	22	28.04.1994 15:42:16	Yes	185 Lbs	6 ft3	No	No	2	Pro & Farm	1,400,000$	0$	1,400,000$									Lien
Joshua Morrissey	D	21	28.03.1995	Yes	194 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
Liam O'Brien	C	22	29.07.1994 1:35:30	Yes	209 Lbs	6 ft2	No	No	2	Pro & Farm	900,000$	0$	900,000$
Lucas Lessio	LW	23	23.01.1993 3:22:53	No	212 Lbs	6 ft1	No	No	1	Pro & Farm	900,000$	0$										Lien
Morgan Ellis	D	24	30.04.1992 15:31:25	Yes	204 Lbs	6 ft1	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Parker Milner	G	26	06.09.1990	No	196 Lbs	6 ft1	No	No	1	Pro & Farm	400,000$	0$										Lien
Phil Di Giuseppe	LW/RW	23	08.10.1993	Yes	197 Lbs	6 ft0	No	No	2	Pro & Farm	1,100,000$	0$	1,100,000$									Lien
Stefan Fournier	RW	24	29.04.1992	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
Taylor Aronson	D	24	30.12.1991 3:13:51	No	205 Lbs	6 ft1	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 Chorney	D	29	27.04.1987	No	190 Lbs	6 ft1	No	No	1	Pro & Farm	500,000$	0$										Lien
Trevor Carrick	D	22	04.07.1994	Yes	186 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
Vincent Hinostroza	C/RW	22	03.04.1994 14:44:14	Yes	158 Lbs	5 ft9	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Zach Sill	C/LW	27	04.05.1989 18:45:21	No	202 Lbs	6 ft0	No	No	1	Pro & Farm	600,000$	0$										Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	23.58	195 Lbs	6 ft1	4.5384615384615	546,154$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Charles Hudon	Phil Di Giuseppe	Anthony Mantha	40	0	2	3
2	Grayson Downing	Lucas Lessio	Vincent Hinostroza	33	0	2	3
3	Joey Hishon	Zach Sill	Liam O'Brien	20	1	2	2
4	Chandler Stephenson	Cameron Darcy	Stefan Fournier	7	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derrick Pouliot	Connor Carrick	40	1	2	2
2	Taylor Chorney	Frank Corrado	35	1	2	2
3	Taylor Aronson	Trevor Carrick	25	1	2	2
4	Derrick Pouliot	Connor Carrick	0	0	2	3

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Charles Hudon	Phil Di Giuseppe	Anthony Mantha	60	0	0	5
2	Grayson Downing	Lucas Lessio	Vincent Hinostroza	40	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derrick Pouliot	Connor Carrick	60	0	1	4
2	Taylor Chorney	Frank Corrado	40	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Grayson Downing	Zach Sill	60	1	4	0
2	Chandler Stephenson	Lucas Lessio	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derrick Pouliot	Connor Carrick	60	1	4	0
2	Taylor Chorney	Frank Corrado	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Grayson Downing	50	0	5	0	Derrick Pouliot	Connor Carrick	50	0	5	0
2	Zach Sill	50	0	5	0	Taylor Chorney	Frank Corrado	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Charles Hudon	Phil Di Giuseppe	50	0	2	3
2	Zach Sill	Anthony Mantha	50	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Derrick Pouliot	Connor Carrick	50	0	3	2
2	Taylor Chorney	Frank Corrado	50	0	3	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Charles Hudon	Phil Di Giuseppe	Anthony Mantha	Derrick Pouliot	Connor Carrick

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Charles Hudon	Phil Di Giuseppe	Anthony Mantha	Taylor Chorney	Frank Corrado

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Phil Di Giuseppe, Anthony Mantha, Charles Hudon	Chandler Stephenson, Grayson Downing	Charles Hudon

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Derrick Pouliot, Trevor Carrick, Frank Corrado	Trevor Carrick	Taylor Aronson, Trevor Carrick

Tirs de Pénalité
Phil Di Giuseppe, Anthony Mantha, Charles Hudon, Lucas Lessio, Grayson Downing

Gardien
#1 : Joonas Korpisalo, #2 : Jon Gillies

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

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	W	L	SOW	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Devils	1	0	0	1	2	1	1	2	1.000	2	2	4	7	2	2	2	41	48	48	45	4	29	10	7	26	0	0	0.00%	1	0	100.00%	42	81	51.85%	42	83	50.60%	22	52	42.31%	88	54	90	34	66	32
2	Senators	1	1	0	0	7	2	5	2	1.000	7	12	19	7	2	2	2	29	48	48	45	4	38	14	14	28	4	1	25.00%	2	1	50.00%	42	81	51.85%	42	83	50.60%	22	52	42.31%	88	54	90	34	66	32
3	Griffins	1	0	1	0	1	4	-3	0	0.000	1	2	3	7	2	2	2	29	48	48	45	4	39	15	8	27	2	0	0.00%	4	0	100.00%	42	81	51.85%	42	83	50.60%	22	52	42.31%	88	54	90	34	66	32
4	Barons	1	1	0	0	2	1	1	2	1.000	2	4	6	7	2	2	2	42	48	48	45	4	39	22	26	22	3	1	33.33%	3	1	66.67%	42	81	51.85%	42	83	50.60%	22	52	42.31%	88	54	90	34	66	32
	Vs Division	1	0	0	1	2	1	1	2	1.000	2	2	4	7	2	2	2	41	48	48	45	4	29	10	7	26	0	0	0.00%	1	0	100.00%	42	81	51.85%	42	83	50.60%	22	52	42.31%	88	54	90	34	66	32
	Vs Conference	2	1	0	1	9	3	6	4	1.000	9	14	23	7	2	2	2	70	48	48	45	4	67	24	21	54	4	1	25.00%	3	1	66.67%	42	81	51.85%	42	83	50.60%	22	52	42.31%	88	54	90	34	66	32
	Since Last GM Reset	4	2	1	1	12	8	4	6	0.750	12	20	32	7	2	2	2	141	48	48	45	4	145	61	55	103	9	2	22.22%	10	2	80.00%	42	81	51.85%	42	83	50.60%	22	52	42.31%	88	54	90	34	66	32
	Total	4	2	1	1	12	8	4	6	0.750	12	20	32	7	2	2	2	141	48	48	45	4	145	61	55	103	9	2	22.22%	10	2	80.00%	42	81	51.85%	42	83	50.60%	22	52	42.31%	88	54	90	34	66	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	6	W2	12	20	32	141	145	61	55	103	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	0	0	1	0	12	8

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	9	3

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	1	0	0	1	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
9	2	22.22%	10	2	80.00%	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
48	48	45	4	7	2	2	2

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
42	81	51.85%	42	83	50.60%	22	52	42.31%

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
88	54	90	34	66	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	@	Crunch2,Devils1 (SO)	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	@	Crunch1,Griffins4	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	@	Barons1,Crunch2	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	@	Senators2,Crunch7	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
1,420,000$	860,000$	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