Profi League - Americans

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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	Mason Raymond		X	X		100.00	57	41	87	87	62	75	68	68	61	39	43	58	53	73	77	0	50	62	0
2	Kevin Porter	X	X	X		100.00	77	45	78	73	53	56	73	65	60	40	38	70	50	64	64	0	50	60	0
3	Chris Conner		X			100.00	59	62	69	70	50	66	68	62	78	44	41	63	51	61	62	0	50	58	0
4	Ben Street	X				100.00	72	67	75	70	52	57	67	65	79	43	43	63	60	46	46	0	53	58	0
5	Greg Carey	X	X			100.00	81	71	77	75	54	63	67	62	75	33	42	64	59	44	44	0	43	58	0
6	Barclay Goodrow		X	X		100.00	60	99	58	76	59	54	65	61	64	42	39	63	50	53	53	0	58	57	0
7	Shane Prince	X	X			100.00	61	41	68	74	53	55	74	66	60	44	42	61	50	51	51	0	53	57	0
8	Andrew Miller	X		X		100.00	62	65	70	69	51	67	64	62	71	42	41	62	57	44	44	0	50	56	0
9	Matt Lorito		X	X		100.00	62	64	70	66	50	57	61	60	71	41	37	58	50	44	44	0	50	54	0
10	Evan Rodrigues (R)	X	X	X		100.00	61	64	70	68	50	56	61	57	67	33	33	59	50	44	44	0	53	52	0
11	Danick Martel (R)	X	X			100.00	54	57	59	67	49	55	60	59	59	32	39	53	56	44	44	0	53	51	0
12	Michael Bunting (R)		X			100.00	57	67	59	63	51	54	60	57	67	32	35	56	50	44	44	0	53	50	0
13	Davis Drewiske				X	100.00	92	81	99	64	79	81	83	50	25	26	30	63	50	59	59	0	60	61	0
14	Esa Lindell (R)				X	100.00	69	74	72	79	69	59	57	52	25	39	36	66	50	60	57	0	58	58	0
15	Chad Ruhwedel				X	100.00	71	66	69	69	56	69	70	67	25	33	32	60	50	55	55	0	53	57	0
16	Brent Regner				X	100.00	64	67	62	67	56	69	70	64	25	37	37	70	50	46	46	0	50	57	0
17	Brady Austin (R)				X	100.00	61	85	66	58	64	68	70	54	25	26	27	60	50	48	48	0	54	52	0
Rayé
1	Michael Sgarbossa	X				100.00	58	68	60	71	52	55	60	60	72	36	34	58	57	53	54	0	46	54	0
2	Kurtis Gabriel (R)			X		100.00	58	80	58	69	59	66	65	54	65	27	32	53	50	44	44	0	46	51	0
3	Brad Stuart				X	71.79	76	47	88	76	76	73	74	57	25	39	38	73	50	98	99	0	39	66	0
4	Alexandre Grenier				X	100.00	73	78	72	68	74	83	81	55	25	39	34	62	50	48	48	0	46	60	0
5	Linus Arnesson (R)				X	100.00	59	69	67	70	57	59	64	53	25	25	26	58	50	46	46	0	46	51	0
6	Oleg Yevenko				X	100.00	55	87	55	63	65	60	64	53	25	24	27	52	50	44	44	0	46	50	0
7	Tyler Lewington (R)				X	100.00	54	69	54	60	57	57	63	54	25	25	31	50	50	44	44	0	46	48	0

	MOYENNE D'ÉQUIPE					98.79	65	67	69	70	58	63	67	59	50	35	36	61	52	52	53	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
1	Nathan Lieuwen	100.00	66	71	68	74	69	72	65	70	68	65	48	55	55	0	53	65	0
2	Mackenzie Skapski (R)	98.00	60	69	68	64	69	69	66	63	63	63	52	58	57	0	53	63	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	63	70	68	69	69	71	66	67	66	64	50	57	56	0	53	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dan Lambert	74	59	61	70	60	61	78	CAN	46	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	Ben Street	Americans (BUF)		C	4	3	2	5	-1	2	0	5	15	11	17	20.00%	0	18.:.19	1	1	2	0	0	0	0	68.66%	67	11	4	0	0	1.36	0
2	Shane Prince	Americans (BUF)		C/LW	4	1	3	4	3	0	0	3	10	6	10	10.00%	1	16.:.11	0	0	0	0	5	0	0	33.33%	3	12	0	0	0	1.24	0
3	Greg Carey	Americans (BUF)		C/LW	4	3	1	4	3	0	0	9	11	2	10	27.27%	1	13.:.44	0	0	0	0	0	2	0	64.29%	28	4	1	0	0	1.45	0
4	Mason Raymond	Americans (BUF)		LW/RW	4	3	1	4	4	0	0	8	29	5	10	10.34%	3	23.:.34	0	0	0	0	9	0	0	80.00%	20	28	4	0	0	0.85	0
5	Chris Conner	Americans (BUF)		LW	4	0	3	3	-1	4	0	1	13	4	15	0.00%	1	18.:.31	0	2	2	0	1	0	0	0.00%	0	11	2	0	0	0.81	0
6	Kevin Porter	Americans (BUF)		C/LW/RW	4	0	3	3	4	4	0	6	5	4	12	0.00%	3	19.:.03	0	0	0	0	8	0	0	52.24%	67	10	4	0	0	0.79	0
7	Barclay Goodrow	Americans (BUF)		LW/RW	4	1	1	2	1	49	25	3	11	6	9	9.09%	0	13.:.35	0	0	0	0	0	1	0	40.00%	5	7	0	0	0	0.74	0
8	Andrew Miller	Americans (BUF)		C/RW	4	1	1	2	4	0	0	6	7	4	1	14.29%	4	16.:.42	0	0	0	0	0	0	0	33.33%	3	7	2	0	0	0.60	0
9	Davis Drewiske	Americans (BUF)		D	4	0	2	2	2	15	15	8	7	3	5	0.00%	5	25.:.38	0	1	1	0	11	0	0	0.00%	0	0	3	0	0	0.39	0
10	Chad Ruhwedel	Americans (BUF)		D	4	1	1	2	2	0	0	10	3	0	4	33.33%	2	19.:.06	1	0	1	0	2	0	0	0.00%	0	0	3	0	0	0.52	0
11	Matt Lorito	Americans (BUF)		LW/RW	4	0	1	1	3	0	0	12	3	2	1	0.00%	1	14.:.21	0	0	0	0	0	0	0	0.00%	0	4	2	0	0	0.35	0
12	Brent Regner	Americans (BUF)		D	4	0	1	1	2	2	0	2	2	5	5	0.00%	1	18.:.04	0	0	0	0	0	0	0	0.00%	0	2	7	0	0	0.28	0
13	Esa Lindell	Americans (BUF)		D	4	0	0	0	1	15	15	8	12	3	0	0.00%	3	20.:.04	0	0	0	0	3	0	0	0.00%	0	2	5	0	0	0.00	0
14	Brad Stuart	Americans (BUF)		D	3	0	0	0	-1	0	0	2	6	8	4	0.00%	7	17.:.19	0	0	0	0	7	0	0	0.00%	0	1	10	0	0	0.00	0
15	Brady Austin	Americans (BUF)		D	4	0	0	0	2	27	15	2	2	1	1	0.00%	2	15.:.05	0	0	0	0	1	0	0	0.00%	0	2	4	0	0	0.00	0
16	Danick Martel	Americans (BUF)		C/LW	4	0	0	0	-2	0	0	0	1	0	1	0.00%	2	08.:.37	0	0	0	0	2	0	0	33.33%	3	0	3	0	0	0.00	0
17	Evan Rodrigues	Americans (BUF)		C/LW/RW	4	0	0	0	0	0	0	3	1	0	0	0.00%	2	07.:.06	0	0	0	0	0	0	0	40.00%	10	0	1	0	0	0.00	0
18	Michael Bunting	Americans (BUF)		LW	4	0	0	0	0	0	0	1	3	1	1	0.00%	1	07.:.06	0	0	0	0	0	0	0	0.00%	0	1	3	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		71	13	20	33	26	118	70	89	86	141	65	106	9.22%	39	1151	16.22	2	4	6	15	79	0	0	54	3	0	60.19%	206	102	58	0	0.57	0	0	6	1	7	2	1	4

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Nathan Lieuwen	Americans (BUF)	3	2	1	0	93.8%	1.68	179	0	0	5	81	49	0	0.0%	0	3	1	1	1	0
2	Mackenzie Skapski	Americans (BUF)	1	1	0	0	95.3%	2.00	60	0	0	2	43	23	0	0.0%	0	1	3	0	0	0
Stats d'équipe Total ou en Moyenne	4	3	1	0	0.944	1.76	239	0	0	7	124	72	0	0	0.000	4	4	1	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

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
Alexandre Grenier	D	25	05.09.1991 9:40:19	No	200 Lbs	6 ft5	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Andrew Miller	C/RW	28	18.09.1988	No	181 Lbs	5 ft10	No	No	2	Pro & Farm	500,000$	0$	500,000$									Lien
Barclay Goodrow	LW/RW	23	26.02.1993 1:51:57	No	215 Lbs	6 ft2	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Ben Street	C	29	13.02.1987	No	185 Lbs	5 ft11	No	No	1	Pro & Farm	500,000$	0$										Lien
Brad Stuart (Sur la Masse Salariale)	D	36	06.11.1979	No	215 Lbs	6 ft2	No	No	2	Pro & Farm	1,700,000$	0$	1,700,000$									Lien
Brady Austin	D	23	16.06.1993	Yes	234 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
Brent Regner	D	27	17.05.1989	No	189 Lbs	5 ft11	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Chad Ruhwedel	D	26	07.05.1990 9:51:06	No	181 Lbs	5 ft11	No	No	3	Pro & Farm	1,100,000$	0$	1,100,000$	1,100,000$								Lien
Chris Conner	LW	32	23.12.1983	No	181 Lbs	5 ft7	No	No	2	Pro & Farm	500,000$	0$	500,000$									Lien
Danick Martel	C/LW	21	12.12.1994	Yes	161 Lbs	5 ft8	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
Davis Drewiske	D	31	22.11.1984	No	222 Lbs	6 ft2	No	No	1	Pro & Farm	400,000$	0$										Lien
Esa Lindell	D	22	23.05.1994 23:57:58	Yes	198 Lbs	6 ft3	No	No	2	Pro & Farm	1,300,000$	0$	1,300,000$									Lien
Evan Rodrigues	C/LW/RW	23	28.07.1993	Yes	179 Lbs	5 ft11	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Greg Carey	C/LW	26	05.04.1990	No	195 Lbs	6 ft0	No	No	1	Pro & Farm	400,000$	0$										Lien
Kevin Porter	C/LW/RW	30	12.03.1986	No	194 Lbs	5 ft11	No	No	2	Pro & Farm	1,100,000$	0$	1,100,000$									Lien
Kurtis Gabriel	RW	23	20.04.1993	Yes	214 Lbs	6 ft4	No	No	2	Farm Only	1,000,000$	0$	1,000,000$									Lien
Linus Arnesson	D	22	21.09.1994	Yes	188 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
Mackenzie Skapski	G	22	15.06.1994 1:49:50	Yes	191 Lbs	6 ft3	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Mason Raymond	LW/RW	31	17.09.1985	No	185 Lbs	6 ft0	No	No	2	Pro & Farm	1,700,000$	0$	1,700,000$									Lien
Matt Lorito	LW/RW	26	03.07.1990	No	181 Lbs	5 ft9	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Michael Bunting	LW	21	17.09.1995	Yes	187 Lbs	5 ft11	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Michael Sgarbossa	C	24	25.07.1992 9:37:53	No	180 Lbs	5 ft11	No	No	3	Pro & Farm	800,000$	0$	800,000$	800,000$								Lien
Nathan Lieuwen	G	25	08.08.1991 15:25:07	No	186 Lbs	6 ft5	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Oleg Yevenko	D	25	21.01.1991	No	229 Lbs	6 ft7	No	No	1	Pro & Farm	1,300,000$	0$										Lien
Shane Prince	C/LW	23	16.12.1992 9:36:42	No	190 Lbs	5 ft11	No	No	2	Pro & Farm	1,300,000$	0$	1,300,000$									Lien
Tyler Lewington	D	21	05.12.1994	Yes	189 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

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	25.58	194 Lbs	6 ft1	3.6153846153846	788,462$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Kevin Porter	Mason Raymond	Andrew Miller	40	1	2	2
2	Ben Street	Chris Conner	Barclay Goodrow	30	1	2	2
3	Greg Carey	Shane Prince	Matt Lorito	20	1	2	2
4	Evan Rodrigues	Michael Bunting	Mason Raymond	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Davis Drewiske	40	1	2	2
2	Esa Lindell	Chad Ruhwedel	30	1	2	2
3	Brent Regner	Brady Austin	20	1	2	2
4		Davis Drewiske	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Kevin Porter	Mason Raymond	Andrew Miller	60	1	2	2
2	Ben Street	Chris Conner	Barclay Goodrow	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Davis Drewiske	60	1	2	2
2	Esa Lindell	Chad Ruhwedel	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mason Raymond	Kevin Porter	60	1	2	2
2	Ben Street	Chris Conner	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Davis Drewiske	60	1	2	2
2	Esa Lindell	Chad Ruhwedel	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Mason Raymond	60	1	2	2		Davis Drewiske	60	1	2	2
2	Kevin Porter	40	1	2	2	Esa Lindell	Chad Ruhwedel	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mason Raymond	Kevin Porter	60	1	2	2
2	Ben Street	Chris Conner	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Davis Drewiske	60	1	2	2
2	Esa Lindell	Chad Ruhwedel	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Kevin Porter	Mason Raymond	Andrew Miller		Davis Drewiske

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Kevin Porter	Mason Raymond	Andrew Miller		Davis Drewiske

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Danick Martel, Greg Carey, Shane Prince	Danick Martel, Greg Carey	Shane Prince

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brent Regner, Brady Austin, Esa Lindell	Brent Regner	Brady Austin, Esa Lindell

Tirs de Pénalité
Mason Raymond, Kevin Porter, Ben Street, Chris Conner, Greg Carey

Gardien
#1 : Mackenzie Skapski, #2 : Nathan Lieuwen

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

#	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 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	0	6	2	4	2	1.000	6	10	16	7	3	3	33	66	30	45	43	14	67	16	2	1	50.00%	1	1	0.00%	46	81	56.79%	47	77	61.04%	31	48	64.58%	106	72	71	28	61	32
2	Bulldogs	1	1	0	2	1	1	2	1.000	2	2	4	7	3	3	35	66	30	45	30	11	8	20	0	0	0.00%	4	0	100.00%	46	81	56.79%	47	77	61.04%	31	48	64.58%	106	72	71	28	61	32
3	Monsters	1	1	0	3	1	2	2	1.000	3	5	8	7	3	3	36	66	30	45	27	9	34	32	4	0	0.00%	2	0	100.00%	46	81	56.79%	47	77	61.04%	31	48	64.58%	106	72	71	28	61	32
4	Sharks	1	0	1	2	3	-1	0	0.000	2	3	5	7	3	3	37	66	30	45	24	5	9	21	3	1	33.33%	2	1	50.00%	46	81	56.79%	47	77	61.04%	31	48	64.58%	106	72	71	28	61	32
	Vs Division	1	1	0	2	1	1	2	1.000	2	2	4	7	3	3	35	66	30	45	30	11	8	20	0	0	0.00%	4	0	100.00%	46	81	56.79%	47	77	61.04%	31	48	64.58%	106	72	71	28	61	32
	Vs Conference	2	2	0	8	3	5	4	1.000	8	12	20	7	3	3	68	66	30	45	73	25	75	36	2	1	50.00%	5	1	80.00%	46	81	56.79%	47	77	61.04%	31	48	64.58%	106	72	71	28	61	32
	Since Last GM Reset	4	3	1	13	7	6	6	0.750	13	20	33	7	3	3	141	66	30	45	124	39	118	89	9	2	22.22%	9	2	77.78%	46	81	56.79%	47	77	61.04%	31	48	64.58%	106	72	71	28	61	32
	Total	4	3	1	13	7	6	6	0.750	13	20	33	7	3	3	141	66	30	45	124	39	118	89	9	2	22.22%	9	2	77.78%	46	81	56.79%	47	77	61.04%	31	48	64.58%	106	72	71	28	61	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	13	20	33	141	124	39	118	89	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	13	7

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	1	1	0	0	0	0	4	4

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	1	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
9	2	22.22%	9	2	77.78%	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
66	30	45	0	7	3	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
46	81	56.79%	47	77	61.04%	31	48	64.58%

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
106	72	71	28	61	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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Sun, Nov 24	@	Americans2,Bulldogs1	RECAP
Mon, Nov 25	@	Americans2,Sharks3	RECAP
Thu, Nov 28	@	Monsters1,Americans3	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
1,880,000$	1,190,000$	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