Profi League - Wolf Pack

Rangers
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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	Alan Quine	X				99.00	82	71	78	70	55	69	68	65	79	40	40	62	57	44	44	0	52	59	0
2	Ty Rattie (R)			X		100.00	59	41	67	78	50	52	68	63	58	41	46	57	50	46	46	0	49	56	0
3	Justin Florek		X			100.00	70	75	74	62	57	70	66	54	66	29	32	55	50	44	45	0	49	53	0
4	Rob Flick	X	X			100.00	62	76	63	63	58	66	64	56	69	32	33	59	50	44	44	0	52	53	0
5	Kale Kessy		X			100.00	68	79	64	64	59	55	61	54	66	28	33	58	50	44	44	0	50	52	0
6	Ethan Werek	X	X			100.00	58	69	60	65	53	61	61	57	65	31	36	56	50	44	44	0	52	51	0
7	Ryan Bourque		X			100.00	59	61	69	60	49	69	66	57	65	32	33	57	50	44	44	0	52	51	0
8	Danny Hobbs	X		X		100.00	70	69	74	65	53	55	61	53	59	28	30	58	50	44	44	0	52	51	0
9	Travis Ewanyk (R)	X	X			100.00	56	74	57	62	56	67	65	54	64	27	31	51	50	44	44	0	54	50	0
10	Philippe Paradis	X				100.00	56	76	57	64	58	60	61	54	66	29	32	52	50	44	44	0	56	50	0
11	Jimmy Lodge (R)	X		X		100.00	60	63	69	66	50	50	60	52	56	27	27	55	50	44	44	0	52	49	0
12	Dalton Smith		X			100.00	56	76	57	66	58	59	61	53	64	25	29	51	50	44	44	0	53	49	0
13	Josh Manson				X	100.00	81	86	72	74	79	80	84	69	25	42	40	77	50	56	56	0	46	66	0
14	Jon Merrill				X	100.00	68	44	79	84	73	73	75	61	25	41	39	74	50	70	63	0	52	64	0
15	Brady Skjei (R)				X	100.00	73	77	72	74	73	59	58	51	25	37	37	75	50	59	59	0	50	59	0
16	Will O'Neill (R)				X	100.00	64	73	60	55	60	66	72	67	50	35	36	69	57	55	60	0	52	57	0
17	Kane Lafranchise				X	100.00	61	72	68	64	59	58	63	64	25	39	27	62	50	48	48	0	52	54	0
18	Michael Matheson (R)				X	100.00	56	70	62	66	58	60	64	62	25	30	33	56	50	45	45	0	52	52	0
Rayé
1	Luke Adam	X	X			85.76	62	76	63	66	58	69	66	59	76	34	35	61	50	55	55	0	39	55	0
2	Matt Tassone (R)	X				100.00	55	36	56	64	77	47	40	46	30	31	32	49	42	51	43	0	46	48	0
3	Kyle Burroughs (R)				X	100.00	56	71	62	61	58	58	63	60	25	33	29	56	50	45	45	0	46	51	0
4	Jeremie Blain (R)				X	100.00	56	74	64	60	59	57	63	54	25	23	34	55	50	44	44	0	46	50	0

	MOYENNE D'ÉQUIPE					99.27	63	69	66	66	60	62	64	58	50	32	34	59	50	48	48	0	50	54

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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	Antoine Bibeau (R)	96.00	65	72	77	71	68	72	66	69	67	64	48	55	55	0	51	65	0
2	Doug Carr	100.00	58	66	69	68	67	73	64	68	64	65	51	55	55	0	52	63	0
Rayé
1	Ray Emery	100.00	54	69	68	64	63	65	61	59	57	58	67	81	77	0	43	63	0

	MOYENNE D'ÉQUIPE	98.67	59	69	71	68	66	70	64	65	63	62	55	64	62	0	49	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ken Gernander	84	71	65	72	60	60	76	USA	47	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

#	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	Brady Skjei	Wolf Pack (NYR)		D	4	4	1	5	3	12	10	5	22	10	10	18.18%	4	20.:.21	0	0	0	0	5	0	1	0.00%	0	4	3	0	0	1.23	0
2	Jon Merrill	Wolf Pack (NYR)		D	4	1	4	5	2	0	0	6	21	12	16	4.76%	8	27.:.51	1	0	1	0	11	0	0	0.00%	0	9	10	0	0	0.90	0
3	Josh Manson	Wolf Pack (NYR)		D	4	3	1	4	2	45	35	10	13	8	6	23.08%	11	19.:.36	0	1	1	0	9	1	0	0.00%	0	5	10	0	0	1.02	0
4	Rob Flick	Wolf Pack (NYR)		C/LW	4	1	2	3	2	18	10	6	6	4	9	16.67%	4	19.:.24	1	0	1	0	6	0	0	59.32%	59	6	2	0	0	0.77	0
5	Will O'Neill	Wolf Pack (NYR)		D	4	1	2	3	1	2	0	6	17	2	6	5.88%	4	20.:.43	0	0	0	0	6	0	0	0.00%	0	6	6	0	0	0.72	0
6	Ty Rattie	Wolf Pack (NYR)		RW	4	2	0	2	0	2	0	4	11	2	8	18.18%	1	14.:.26	0	0	0	0	2	1	0	66.67%	3	23	2	0	0	0.69	0
7	Alan Quine	Wolf Pack (NYR)		C	4	0	2	2	-1	0	0	14	15	6	9	0.00%	2	24.:.44	0	0	0	0	13	0	0	43.42%	76	18	1	0	0	0.40	0
8	Danny Hobbs	Wolf Pack (NYR)		C/RW	4	0	2	2	2	4	0	7	7	2	0	0.00%	2	18.:.31	0	0	0	0	0	0	0	100.00%	2	3	0	0	0	0.54	0
9	Kane Lafranchise	Wolf Pack (NYR)		D	4	0	1	1	-2	0	0	1	0	3	4	0.00%	1	17.:.47	0	1	1	0	0	0	0	0.00%	0	0	4	0	0	0.28	0
10	Jimmy Lodge	Wolf Pack (NYR)		C/RW	4	0	1	1	1	0	0	5	1	0	1	0.00%	0	13.:.23	0	0	0	0	0	0	0	100.00%	1	2	2	0	0	0.37	0
11	Justin Florek	Wolf Pack (NYR)		LW	4	0	1	1	2	0	0	7	11	1	7	0.00%	1	19.:.58	0	1	1	0	3	0	0	75.00%	4	2	1	0	0	0.25	0
12	Ryan Bourque	Wolf Pack (NYR)		LW	4	0	1	1	-2	4	0	4	0	0	0	0.00%	1	10.:.04	0	0	0	0	0	0	0	0.00%	1	0	1	0	0	0.50	0
13	Travis Ewanyk	Wolf Pack (NYR)		C/LW	4	0	0	0	-1	20	20	6	2	1	3	0.00%	0	08.:.39	0	0	0	0	2	0	0	62.50%	8	1	0	0	0	0.00	0
14	Kale Kessy	Wolf Pack (NYR)		LW	4	0	0	0	2	30	30	7	6	1	3	0.00%	1	18.:.42	0	0	0	0	4	0	0	66.67%	3	4	0	0	0	0.00	0
15	Ethan Werek	Wolf Pack (NYR)		C/LW	4	0	0	0	1	2	0	7	13	3	8	0.00%	0	13.:.51	0	0	0	0	0	0	0	42.11%	38	5	3	0	0	0.00	0
16	Michael Matheson	Wolf Pack (NYR)		D	4	0	0	0	-1	0	0	2	6	3	1	0.00%	7	15.:.07	0	0	0	0	4	0	0	0.00%	0	3	2	0	0	0.00	0
17	Dalton Smith	Wolf Pack (NYR)		LW	4	0	0	0	1	5	5	0	1	0	1	0.00%	1	03.:.20	0	0	0	0	0	0	0	60.00%	5	3	1	0	0	0.00	0
18	Luke Adam	Wolf Pack (NYR)		C/LW	1	0	0	0	0	0	0	0	0	0	0	0.00%	1	06.:.14	0	0	0	0	2	0	0	0.00%	0	0	0	0	0	0.00	0
19	Philippe Paradis	Wolf Pack (NYR)		C	4	0	0	0	-2	10	10	7	2	0	1	0.00%	2	09.:.33	0	0	0	0	0	0	0	30.43%	23	3	1	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		73	12	18	30	10	154	120	104	90	154	58	93	7.79%	51	1190	16.31	2	3	5	12	80	0	0	72	2	1	48.88%	223	97	49	0	0.50	0	0	4	7	13	1	2	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 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	Antoine Bibeau	Wolf Pack (NYR)	4	2	2	0	90.0%	2.73	242	0	0	11	110	68	0	0	0.0%	0	4	0	0	0	1
Stats d'équipe Total ou en Moyenne	4	2	2	0	0.900	2.73	242	0	0	11	110	68	0	0	0.000	0	4	0	0	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
Alan Quine	C	23	25.02.1993	No	196 Lbs	6 ft0	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Antoine Bibeau	G	22	05.01.1994 15:20:40	Yes	207 Lbs	6 ft3	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Brady Skjei	D	22	26.03.1994	Yes	205 Lbs	6 ft3	No	No	2	Pro & Farm	1,100,000$	0$	1,100,000$									Lien
Dalton Smith	LW	24	30.06.1992 2:34:36	No	206 Lbs	6 ft2	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Danny Hobbs	C/RW	27	21.06.1989 2:35:41	No	192 Lbs	5 ft11	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Doug Carr	G	27	12.03.1989	No	201 Lbs	6 ft2	No	No	2	Pro & Farm	600,000$	0$	600,000$									Lien
Ethan Werek	C/LW	25	07.06.1991 2:32:13	No	189 Lbs	6 ft1	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Jeremie Blain	D	24	19.03.1992	Yes	195 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
Jimmy Lodge	C/RW	21	04.03.1995	Yes	166 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
Jon Merrill	D	24	03.02.1992 2:36:39	No	205 Lbs	6 ft3	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Josh Manson	D	25	07.10.1991 5:17:48	No	217 Lbs	6 ft3	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Justin Florek	LW	26	18.05.1990 2:34:13	No	199 Lbs	6 ft4	No	No	1	Pro & Farm	800,000$	0$										Lien
Kale Kessy	LW	23	04.12.1992	No	212 Lbs	6 ft3	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Kane Lafranchise	D	28	27.05.1988	No	196 Lbs	6 ft1	No	No	1	Pro & Farm	500,000$	0$										Lien
Kyle Burroughs	D	21	12.07.1995	Yes	198 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
Luke Adam (Sur la Masse Salariale)	C/LW	26	18.06.1990	No	206 Lbs	6 ft2	No	No	3	Pro & Farm	700,000$	0$	700,000$	700,000$								Lien
Matt Tassone	C	26	28.11.1989 1:47:01	Yes	201 Lbs	6 ft0	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$
Michael Matheson	D	22	27.02.1994	Yes	192 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
Philippe Paradis	C	24	02.01.1992 18:52:47	No	205 Lbs	6 ft2	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Ray Emery	G	34	28.04.1982	No	196 Lbs	6 ft2	No	No	1	Pro & Farm	500,000$	0$										Lien
Rob Flick	C/LW	25	28.03.1991 2:37:17	No	208 Lbs	6 ft2	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Ryan Bourque	LW	25	03.01.1991 2:38:12	No	170 Lbs	5 ft9	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Travis Ewanyk	C/LW	23	29.03.1993	Yes	202 Lbs	6 ft1	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Ty Rattie	RW	23	01.07.1993	Yes	178 Lbs	6 ft0	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Will O'Neill	D	28	28.04.1988 5:06:28	Yes	205 Lbs	6 ft1	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
25	24.72	198 Lbs	6 ft1	5.32	364,000$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Alan Quine		Ty Rattie	40	1	2	2
2	Rob Flick	Justin Florek	Danny Hobbs	30	1	2	2
3	Ethan Werek	Kale Kessy	Jimmy Lodge	20	1	2	2
4	Philippe Paradis	Ryan Bourque	Alan Quine	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Josh Manson	Jon Merrill	40	1	2	2
2	Brady Skjei	Will O'Neill	30	1	2	2
3	Kane Lafranchise	Michael Matheson	20	1	2	2
4	Josh Manson	Jon Merrill	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Alan Quine		Ty Rattie	60	1	2	2
2	Rob Flick	Justin Florek	Danny Hobbs	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Josh Manson	Jon Merrill	60	1	2	2
2	Brady Skjei	Will O'Neill	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Alan Quine		60	1	2	2
2	Ty Rattie	Justin Florek	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Josh Manson	Jon Merrill	60	1	2	2
2	Brady Skjei	Will O'Neill	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Alan Quine	60	1	2	2	Josh Manson	Jon Merrill	60	1	2	2
2		40	1	2	2	Brady Skjei	Will O'Neill	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Alan Quine		60	1	2	2
2	Ty Rattie	Justin Florek	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Josh Manson	Jon Merrill	60	1	2	2
2	Brady Skjei	Will O'Neill	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Alan Quine		Ty Rattie	Josh Manson	Jon Merrill

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Alan Quine		Ty Rattie	Josh Manson	Jon Merrill

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Travis Ewanyk, Dalton Smith, Kale Kessy	Travis Ewanyk, Dalton Smith	Kale Kessy

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kane Lafranchise, Michael Matheson, Brady Skjei	Kane Lafranchise	Michael Matheson, Brady Skjei

Tirs de Pénalité
Alan Quine, , Ty Rattie, Justin Florek, Rob Flick

Gardien
#1 : Antoine Bibeau, #2 : Doug Carr

Lignes d'Attaque Perso. en Prol.
Alan Quine, Justin Florek, Ty Rattie, Rob Flick, Kale Kessy, Danny Hobbs, Danny Hobbs, Travis Ewanyk, Dalton Smith, Ethan Werek, Ryan Bourque

Lignes de Défense Perso. en Prol.
Josh Manson, Jon Merrill, Brady Skjei, Will O'Neill, Kane Lafranchise

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

VS Équipe	GP	W	L	OTW	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
Vs Division	1	0	0	1	3	2	1	2	1.000	3	4	7	3	4	4	1	41	42	61	45	6	30	7	33	28	1	0	0.00%	4	1	75.00%	38	87	43.68%	39	76	51.32%	32	60	53.33%	85	50	87	34	68	35
Vs Conference	3	0	2	1	6	10	-4	2	0.333	6	9	15	3	4	4	1	120	42	61	45	6	92	40	117	78	7	1	14.29%	11	3	72.73%	38	87	43.68%	39	76	51.32%	32	60	53.33%	85	50	87	34	68	35
Since Last GM Reset	4	1	2	1	12	11	1	4	0.500	12	18	30	3	4	4	1	154	42	61	45	6	110	51	154	104	10	2	20.00%	12	3	75.00%	38	87	43.68%	39	76	51.32%	32	60	53.33%	85	50	87	34	68	35
Total	4	1	2	1	12	11	1	4	0.500	12	18	30	3	4	4	1	154	42	61	45	6	110	51	154	104	10	2	20.00%	12	3	75.00%	38	87	43.68%	39	76	51.32%	32	60	53.33%	85	50	87	34	68	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	4	L1	12	18	30	154	110	51	154	104	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	1	0	0	0	12	11

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	1	0	0	0	4	4

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	8	7

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	2	1	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	2	20.00%	12	3	75.00%	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	61	45	6	3	4	4	1

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
38	87	43.68%	39	76	51.32%	32	60	53.33%

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	50	87	34	68	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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Sun, Nov 24	@	Bruins2,Wolf Pack3 (OT)	RECAP
Mon, Nov 25	@	Penguins2,Wolf Pack1	RECAP
Thu, Nov 28	@	Wolf Pack6,Pirates1	RECAP
Fri, Nov 29	@	Wolf Pack2,Americans6	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
840,000$	330,000$	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