Profi League

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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	Brett Ritchie (R)			X		100.00	75	80	64	70	59	65	67	62	79	37	41	63	58	47	47	0	42	58	0
2	Hudson Fasching (R)			X		100.00	76	63	56	62	59	59	65	62	58	40	39	61	50	50	50	0	48	56	0
3	Justin Bailey (R)			X		100.00	64	73	71	64	55	60	61	61	75	38	38	63	56	44	44	0	48	55	0
4	Nikolay Goldobin (R)		X	X		100.00	62	66	71	77	51	57	61	61	38	39	38	60	56	51	51	0	48	55	0
5	Vladislav Kamenev (R)	X	X			100.00	60	75	63	69	57	54	60	59	76	37	37	60	50	44	44	0	51	54	0
6	Christoph Bertschy (R)	X		X		100.00	57	66	59	70	51	56	61	57	68	35	34	55	50	44	44	0	48	52	0
7	Carter Bancks		X			100.00	57	66	59	62	51	67	65	57	69	34	35	55	50	44	44	0	45	52	0
8	Connor Jones	X	X			100.00	59	62	69	59	49	59	61	54	59	29	32	56	50	44	44	0	47	50	0
9	Brant Harris			X		100.00	66	75	71	63	57	47	56	52	64	28	27	60	50	44	44	0	47	50	0
10	Pierre-Luc Letourneau-Leblond		X	X		100.00	57	77	57	59	58	62	62	53	65	29	29	52	50	47	48	0	48	50	0
11	Andrew Cherniwchan	X		X		100.00	57	66	59	60	51	62	62	53	59	27	31	52	50	44	44	0	47	49	0
12	Justin Falk				X	100.00	73	69	78	70	81	67	74	68	25	42	38	73	50	61	62	0	51	64	0
13	Erik Gustafsson				X	100.00	66	42	89	77	66	69	64	76	25	47	37	72	50	55	55	0	48	62	0
14	Chris Breen				X	100.00	61	86	66	67	65	67	69	56	25	29	27	61	50	48	48	0	29	54	0
15	Harrison Ruopp				X	100.00	56	73	64	71	59	55	58	53	25	24	26	55	50	44	44	0	47	50	0
16	Josiah Didier (R)				X	100.00	57	75	65	63	60	60	64	53	25	25	26	56	50	45	45	0	38	50	0
Rayé
1	Dominik Simon (R)	X	X			89.76	56	64	59	68	50	56	60	61	68	35	41	57	58	44	44	0	43	53	0
2	Mike Cornell				X	33.92	54	70	54	60	57	64	67	55	25	26	29	50	50	44	44	0	37	49	0

	MOYENNE D'ÉQUIPE					95.67	62	69	65	66	58	60	63	59	52	33	34	59	52	47	47	0	45	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	Joni Ortio	100.00	72	77	71	77	71	69	71	72	71	69	46	68	65	0	51	69	0
2	Leland Irving (R)	100.00	67	74	64	74	67	71	65	69	68	64	46	55	55	0	51	64	0
3	Connor Knapp	100.00	55	68	74	69	64	71	62	67	62	62	48	55	55	0	51	62	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	65	73	70	73	67	70	66	69	67	65	47	59	58	0	51	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Pascal Vincent	68	58	57	69	60	61	82	CAN	44	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	PPP	PKG	PKM	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Erik Gustafsson	Heat (CGY)		D	4	1	4	5	-35	0	0	6	30	11	17	3.33%	7	28.:.03	0	0	3	0	0.00%	0	3	3	0	0	0.89	0	0
2	Hudson Fasching	Heat (CGY)		RW	4	4	0	4	-28	2	0	16	11	7	7	36.36%	2	22.:.00	0	0	0	0	33.33%	3	11	3	0	1	0.91	0	0
3	Brett Ritchie	Heat (CGY)		RW	4	2	1	3	-33	54	30	9	13	8	9	15.38%	3	22.:.17	0	0	1	0	50.00%	14	18	1	0	0	0.67	0	0
4	Justin Bailey	Heat (CGY)		RW	4	1	2	3	-19	0	0	5	7	3	6	14.29%	2	15.:.00	0	0	0	0	50.00%	2	6	4	0	0	1.00	0	0
5	Dominik Simon	Heat (CGY)		C/LW	4	0	2	2	-23	0	0	4	5	4	11	0.00%	1	18.:.11	0	0	0	0	46.15%	65	9	2	0	0	0.55	0	0
6	Nikolay Goldobin	Heat (CGY)		LW/RW	4	0	2	2	-42	0	0	5	16	5	11	0.00%	4	23.:.30	0	0	4	0	16.67%	18	9	6	0	0	0.43	0	0
7	Justin Falk	Heat (CGY)		D	4	0	2	2	-30	5	5	9	18	15	10	0.00%	11	29.:.29	0	0	3	0	0.00%	0	3	5	0	0	0.34	0	0
8	Pierre-Luc Letourneau-Leblond	Heat (CGY)		LW/RW	2	0	1	1	-5	20	20	3	3	2	1	0.00%	2	13.:.14	0	0	1	0	33.33%	3	0	0	0	0	0.76	0	0
9	Carter Bancks	Heat (CGY)		LW	4	0	1	1	-19	5	5	11	6	2	2	0.00%	0	19.:.48	0	0	0	0	16.67%	6	3	2	0	0	0.25	0	0
10	Harrison Ruopp	Heat (CGY)		D	4	0	0	0	-13	15	15	1	2	0	0	0.00%	4	14.:.12	0	0	0	0	0.00%	0	1	2	0	0	0.00	0	0
11	Christoph Bertschy	Heat (CGY)		C/RW	4	0	0	0	-18	0	0	5	3	2	10	0.00%	1	18.:.03	0	0	0	0	48.78%	41	5	3	0	0	0.00	0	0
12	Vladislav Kamenev	Heat (CGY)		C/LW	4	0	0	0	-27	27	15	3	7	3	8	0.00%	2	19.:.17	0	0	0	0	47.89%	71	4	2	0	0	0.00	0	0
13	Andrew Cherniwchan	Heat (CGY)		C/RW	2	0	0	0	-1	0	0	3	0	0	0	0.00%	2	11.:.01	0	0	1	0	58.82%	17	0	2	0	0	0.00	0	0
14	Connor Jones	Heat (CGY)		C/LW	2	0	0	0	-6	0	0	0	0	0	0	0.00%	2	07.:.30	0	0	0	0	30.00%	10	1	0	0	0	0.00	0	0
15	Brant Harris	Heat (CGY)		RW	2	0	0	0	-6	0	0	0	0	0	0	0.00%	3	07.:.07	0	0	0	0	0.00%	0	0	2	0	0	0.00	0	0
16	Mike Cornell	Heat (CGY)		D	1	0	0	0	-3	0	0	1	1	0	0	0.00%	1	13.:.19	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
17	Josiah Didier	Heat (CGY)		D	4	0	0	0	-32	2	0	1	0	0	2	0.00%	9	18.:.58	0	0	0	0	0.00%	0	1	2	0	0	0.00	0	0
18	Chris Breen	Heat (CGY)		D	4	0	0	0	-35	67	35	4	5	0	2	0.00%	3	19.:.20	0	0	0	0	0.00%	0	2	6	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		61	8	15	23	-375	197	125	86	95	127	62	96	6.30%	59	1163	19.08	0	16	105	0	18	0	0	44.40%	250	76	45	0	1	0.40	0	0	4	10	11	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 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
Stats d'équipe Total ou en Moyenne					0.000	0.00	0								0.000

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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	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
Andrew Cherniwchan	C/RW	27	20.04.1989	No	181 Lbs	5 ft11	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Brant Harris	RW	27	08.10.1989	No	205 Lbs	6 ft1	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Brett Ritchie	RW	23	01.07.1993 1:13:18	Yes	209 Lbs	6 ft3	No	No	2	Pro & Farm	1,300,000$	0$	1,300,000$									Lien
Carter Bancks	LW	27	09.08.1989	No	181 Lbs	5 ft11	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Lien
Chris Breen	D	26	29.06.1990 18:51:44	No	224 Lbs	6 ft7	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Christoph Bertschy	C/RW	22	05.04.1994 16:06:20	Yes	189 Lbs	5 ft10	No	No	9	Pro & Farm	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Connor Jones	C/LW	26	16.08.1990	No	176 Lbs	5 ft9	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Connor Knapp	G	26	01.05.1990 9:49:32	No	206 Lbs	6 ft6	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Dominik Simon	C/LW	22	08.08.1994 16:08:26	Yes	176 Lbs	5 ft11	No	No	9	Pro & Farm	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Erik Gustafsson	D	24	14.03.1992 16:05:08	No	176 Lbs	6 ft0	No	No	1	Pro & Farm	1,500,000$	0$										Lien
Harrison Ruopp	D	23	17.03.1993 14:46:01	No	192 Lbs	6 ft3	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Hudson Fasching	RW	21	28.07.1995 0:04:42	Yes	216 Lbs	6 ft2	No	No	3	Pro & Farm	1,100,000$	0$	1,100,000$	1,100,000$
Joni Ortio	G	25	16.04.1991 6:34:05	No	185 Lbs	6 ft1	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Josiah Didier	D	23	08.04.1993	Yes	203 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
Justin Bailey	RW	25	01.07.1991 0:05:21	Yes	190 Lbs	6 ft3	No	No	3	Pro & Farm	1,000,000$	0$	1,000,000$	1,000,000$								Lien
Justin Falk	D	28	11.10.1988	No	215 Lbs	6 ft5	No	No	2	Pro & Farm	1,100,000$	0$	1,100,000$									Lien
Leland Irving	G	28	10.04.1988	Yes	177 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
Mike Cornell (Sur la Masse Salariale)	D	28	12.03.1988	No	194 Lbs	6 ft0	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Nikolay Goldobin	LW/RW	21	07.10.1995 0:06:24	Yes	181 Lbs	6 ft0	No	No	3	Pro & Farm	1,100,000$	0$	1,100,000$	1,100,000$								Lien
Pierre-Luc Letourneau-Leblond	LW/RW	31	04.06.1985	No	214 Lbs	6 ft1	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Vladislav Kamenev	C/LW	20	12.08.1996 16:07:25	Yes	203 Lbs	6 ft2	No	No	9	Pro & Farm	100,000$	0$	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
21	24.90	195 Lbs	6 ft1	4.1428571428571	742,857$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Vladislav Kamenev	Nikolay Goldobin	Brett Ritchie	40	1	2	2
2		Carter Bancks	Hudson Fasching	30	1	2	2
3	Christoph Bertschy	Pierre-Luc Letourneau-Leblond	Justin Bailey	20	1	2	2
4	Connor Jones	Brett Ritchie	Brant Harris	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Justin Falk	Erik Gustafsson	40	1	2	2
2	Chris Breen	Josiah Didier	30	1	2	2
3		Harrison Ruopp	20	1	2	2
4	Justin Falk	Erik Gustafsson	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Vladislav Kamenev	Nikolay Goldobin	Brett Ritchie	60	1	2	2
2		Carter Bancks	Hudson Fasching	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Justin Falk	Erik Gustafsson	60	1	2	2
2	Chris Breen	Josiah Didier	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brett Ritchie	Nikolay Goldobin	60	1	2	2
2	Hudson Fasching	Justin Bailey	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Justin Falk	Erik Gustafsson	60	1	2	2
2	Chris Breen	Josiah Didier	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Brett Ritchie	60	1	2	2	Justin Falk	Erik Gustafsson	60	1	2	2
2	Nikolay Goldobin	40	1	2	2	Chris Breen	Josiah Didier	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brett Ritchie	Nikolay Goldobin	60	1	2	2
2	Hudson Fasching	Justin Bailey	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Justin Falk	Erik Gustafsson	60	1	2	2
2	Chris Breen	Josiah Didier	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Vladislav Kamenev	Nikolay Goldobin	Brett Ritchie	Justin Falk	Erik Gustafsson

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Vladislav Kamenev	Nikolay Goldobin	Brett Ritchie	Justin Falk	Erik Gustafsson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Andrew Cherniwchan, Christoph Bertschy, Pierre-Luc Letourneau-Leblond	Andrew Cherniwchan, Christoph Bertschy	Pierre-Luc Letourneau-Leblond

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Harrison Ruopp, Chris Breen		Harrison Ruopp, Chris Breen

Tirs de Pénalité
Brett Ritchie, Nikolay Goldobin, Hudson Fasching, Justin Bailey, Vladislav Kamenev

Gardien
#1 : , #2 :

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	L	GF	GA	Diff	G	A	TP	GP1	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	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	Senators	1	1	1	24	-23	1	2	3	5	3	29	60	31	36	35	15	42	22	4	0.00%	1	1	0.00%	38	75	50.67%	14	41	34.15%	59	134	44.03%	85	53	88	31	65	31
2	Wolves	1	1	1	22	-21	1	2	3	5	3	26	60	31	36	38	16	7	20	1	0.00%	1	1	0.00%	38	75	50.67%	14	41	34.15%	59	134	44.03%	85	53	88	31	65	31
3	IceHogs	1	1	2	20	-18	2	4	6	5	3	41	60	31	36	34	13	56	21	4	0.00%	3	0	100.00%	38	75	50.67%	14	41	34.15%	59	134	44.03%	85	53	88	31	65	31
4	Monarchs	1	1	4	21	-17	4	7	11	5	3	31	60	31	36	36	15	92	23	4	0.00%	1	1	0.00%	38	75	50.67%	14	41	34.15%	59	134	44.03%	85	53	88	31	65	31
	Vs Division	2	2	3	42	-39	3	6	9	5	3	67	60	31	36	72	29	63	41	5	0.00%	4	1	75.00%	38	75	50.67%	14	41	34.15%	59	134	44.03%	85	53	88	31	65	31
	Vs Conference	3	3	7	63	-56	7	13	20	5	3	98	60	31	36	108	44	155	64	9	0.00%	5	2	60.00%	38	75	50.67%	14	41	34.15%	59	134	44.03%	85	53	88	31	65	31
	Since Last GM Reset	4	4	8	87	-79	8	15	23	5	3	127	60	31	36	143	59	197	86	13	0.00%	6	3	50.00%	38	75	50.67%	14	41	34.15%	59	134	44.03%	85	53	88	31	65	31
	Total	4	4	8	87	-79	8	15	23	5	3	127	60	31	36	143	59	197	86	13	0.00%	6	3	50.00%	38	75	50.67%	14	41	34.15%	59	134	44.03%	85	53	88	31	65	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	8	15	23	127	143	59	197	86	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	8	87

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	6	41

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	46

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
13	0	0.00%	6	3	50.00%	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
60	31	36	0	5	0	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
38	75	50.67%	14	41	34.15%	59	134	44.03%

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	53	88	31	65	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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Mon, Apr 21	@	Heat1,Senators24	RECAP
Tue, Apr 22	@	Heat1,Wolves22	RECAP
Fri, Apr 25	@	IceHogs20,Heat2	RECAP
Sat, Apr 26	@	Monarchs21,Heat4	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
1,450,000$	740,000$	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