Ligue de Hockey Simulé du Saguenay

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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	Âge	Contrat	Salaire
1	Calle Jarnkrok (R)	X				100.00	66	31	75	74	75	79	77	71	81	76	77	66	72	63	57	38	40	72	0	25	1	995,000$
2	Michael Bournival (R)		X			100.00	77	39	78	77	78	73	74	74	68	70	78	71	77	65	53	41	40	72	0	24	1	950,000$
3	Tomas Kubalik			X		100.00	70	32	81	77	76	81	77	77	72	69	75	67	70	62	52	36	40	72	0	26	2	950,000$
4	Travis Konecny (R)			X		100.00	62	31	74	83	63	76	67	86	68	69	71	62	81	45	44	69	40	70	0	19	1	500,000$
5	Sven Andrighetto (R)			X		100.00	77	34	79	65	78	74	70	68	71	64	78	57	71	48	48	48	40	68	0	23	3	700,000$
6	Alex DeBrincat (R)		X			100.00	74	54	84	75	74	66	74	65	71	72	71	57	75	43	41	79	40	68	0	19	2	500,000$
7	Nick Shore (R)	X				100.00	54	26	74	69	69	72	67	73	82	75	73	53	58	52	55	39	40	67	0	24	2	800,000$
8	Cristoval Nieves (R)	X				100.00	66	26	75	74	64	67	72	70	74	76	68	52	67	45	46	46	40	66	0	22	2	600,000$
9	Morgan Klimchuk (R)		X			100.00	64	32	72	72	68	73	73	67	66	69	66	68	73	45	43	49	40	66	0	21	3	650,000$
10	Erik Nystrom (R)		X			100.00	68	23	74	70	74	68	67	69	67	61	70	64	73	48	47	38	40	65	0	23	2	600,000$
11	Lucas Wallmarkk (R)	X				100.00	70	38	71	64	62	71	61	72	71	73	64	63	62	43	43	58	40	65	0	20	4	600,000$
12	Dylan Olsen (R)				X	100.00	79	34	76	71	77	80	76	71	55	76	72	76	64	67	49	35	40	73	0	25	1	600,000$
13	Jake Dotchin (R)				X	100.00	79	40	78	74	75	73	61	67	53	74	53	75	58	59	46	46	40	71	0	22	3	800,000$
14	Reid McNeill (R)				X	100.00	75	47	78	74	80	67	81	73	59	67	58	70	66	62	48	39	40	71	0	24	1	650,000$
15	Ivan Provorov (R)				X	100.00	71	47	79	73	73	72	65	67	47	71	65	71	55	49	42	76	40	69	0	19	1	500,000$
16	Mark Alt (R)				X	100.00	70	32	73	68	68	67	68	55	51	67	58	80	53	54	54	31	40	67	0	25	1	400,000$
17	Blake Heinrich (R)				X	100.00	67	34	68	68	70	71	59	55	45	70	66	75	51	46	44	48	40	66	0	21	3	500,000$
18	Brenden Kichton (R)				X	100.00	65	30	76	68	66	68	66	66	53	60	60	71	61	54	55	35	40	65	0	24	1	400,000$
19	Devon Teows (R)				X	100.00	72	48	72	67	64	64	60	68	49	62	52	69	51	47	48	51	40	65	0	22	4	600,000$
20	Rinat Valiev (R)				X	100.00	71	34	78	68	65	66	64	71	50	62	57	65	59	45	44	56	40	65	0	21	3	500,000$
21	Mikko Lehtonen (R)				X	100.00	70	41	74	57	50	65	71	75	46	69	75	54	61	48	48	49	40	64	0	22	2	500,000$
Rayé
1	David Kampf (R)	X				100.00	57	42	81	62	68	68	66	69	65	65	71	54	65	43	46	58	40	64	0	21	1	500,000$
2	Brendan Leipsic (R)		X			100.00	52	33	68	63	64	63	60	64	75	71	70	52	61	45	46	44	40	62	0	22	2	500,000$
3	Laurent Dauphin (R)	X				100.00	70	37	77	59	67	61	67	68	57	68	61	48	65	43	43	50	40	61	0	21	3	500,000$
4	Nick Sorensen (R)			X		100.00	56	33	75	71	66	65	66	62	59	52	72	52	71	46	46	49	40	61	0	22	3	525,000$
5	JC Lipon (R)			X		100.00	72	56	66	65	69	49	67	62	64	54	60	49	54	48	47	42	40	59	0	23	2	450,000$
6	Anthony Angello (R)	X				100.00	48	36	78	60	62	73	64	53	64	62	59	56	50	42	42	51	40	58	0	20	3	450,000$
7	A.J. Greer (R)		X			100.00	59	42	59	65	66	59	70	56	57	55	59	49	49	44	43	50	40	57	0	20	1	500,000$
8	Brett Murray (R)		X			100.00	74	36	61	64	74	53	62	54	43	53	60	52	40	40	40	73	40	56	0	18	2	500,000$
9	Cooper Marody (R)	X				100.00	42	34	68	59	50	58	58	58	70	71	54	36	46	44	42	55	40	55	0	20	1	500,000$
10	Matt Kiersted (R)				X	100.00	63	45	61	57	62	53	51	51	39	53	40	55	46	40	40	67	40	55	0	18	2	500,000$
11	Riley Stillman (R)				X	100.00	65	39	61	56	60	54	59	50	32	55	50	53	44	40	40	70	40	55	0	18	2	500,000$

	MOYENNE D'ÉQUIPE					100.00	66	37	73	68	68	67	67	66	60	66	64	61	61	49	46	51	40	65

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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	Anton Forsberg	100.00	73	72	71	78	73	78	74	70	72	74	72	61	55	40	40	72	0
Rayé
1	Zachary Fucale	100.00	65	75	55	63	67	71	70	72	76	71	56	44	44	50	40	68	0
2	Jason Kasdorf	100.00	66	65	78	63	63	70	68	68	64	69	66	52	52	41	40	66	0

	MOYENNE D'ÉQUIPE	100.00	68	71	68	68	68	73	71	70	71	71	65	52	50	44	40	69

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Kevin Dineen	73	65	66	79	32	72	57	Can	48	4	500,000$

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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

#	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

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4
A.J. Greer	Phantoms (Phi)	LW	20	1996-01-01	Yes	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Alex DeBrincat	Phantoms (Phi)	LW	19	1997-01-01	Yes	165 Lbs	5 ft7	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$
Anthony Angello	Phantoms (Phi)	C	20	1996-01-01	Yes	210 Lbs	6 ft5	No	No	No	3	Pro & Farm	450,000$	450,000$	0$	0$	No	450,000$	450,000$
Anton Forsberg	Phantoms (Phi)	G	24	1992-01-01	No	191 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Blake Heinrich	Phantoms (Phi)	D	21	1995-01-01	Yes	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$	500,000$
Brendan Leipsic	Phantoms (Phi)	LW	22	1994-01-01	Yes	165 Lbs	5 ft8	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$
Brenden Kichton	Phantoms (Phi)	D	24	1992-01-01	Yes	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	400,000$	400,000$	0$	0$	No
Brett Murray	Phantoms (Phi)	LW	18	1998-01-01	Yes	216 Lbs	6 ft4	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$
Calle Jarnkrok	Phantoms (Phi)	C	25	1991-01-01	Yes	156 Lbs	5 ft11	No	No	No	1	Pro & Farm	995,000$	995,000$	0$	0$	No
Cooper Marody	Phantoms (Phi)	C	20	1996-01-01	Yes	184 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Cristoval Nieves	Phantoms (Phi)	C	22	1994-01-01	Yes	192 Lbs	6 ft2	No	No	No	2	Pro & Farm	600,000$	600,000$	0$	0$	No	600,000$
David Kampf	Phantoms (Phi)	C	21	1995-01-01	Yes	188 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Devon Teows	Phantoms (Phi)	D	22	1994-01-01	Yes	191 Lbs	5 ft11	No	No	No	4	Pro & Farm	600,000$	600,000$	0$	0$	No	700,000$	800,000$	900,000$
Dylan Olsen	Phantoms (Phi)	D	25	1991-01-01	Yes	223 Lbs	6 ft2	No	No	No	1	Pro & Farm	600,000$	600,000$	0$	0$	No
Erik Nystrom	Phantoms (Phi)	LW	23	1993-01-01	Yes	176 Lbs	5 ft11	No	No	No	2	Pro & Farm	600,000$	600,000$	0$	0$	No	600,000$
Ivan Provorov	Phantoms (Phi)	D	19	1997-01-01	Yes	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
JC Lipon	Phantoms (Phi)	RW	23	1993-01-01	Yes	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	450,000$	450,000$	0$	0$	No	450,000$
Jake Dotchin	Phantoms (Phi)	D	22	1994-01-01	Yes	207 Lbs	6 ft2	No	No	No	3	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	800,000$
Jason Kasdorf	Phantoms (Phi)	G	24	1992-01-01	No	172 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Laurent Dauphin	Phantoms (Phi)	C	21	1995-01-01	Yes	185 Lbs	6 ft0	No	No	No	3	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$	500,000$
Lucas Wallmarkk	Phantoms (Phi)	C	20	1996-01-01	Yes	178 Lbs	6 ft0	No	No	No	4	Pro & Farm	600,000$	600,000$	0$	0$	No	700,000$	800,000$	900,000$
Mark Alt	Phantoms (Phi)	D	25	1991-01-01	Yes	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	400,000$	400,000$	0$	0$	No
Matt Kiersted	Phantoms (Phi)	D	18	1998-01-01	Yes	184 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$
Michael Bournival	Phantoms (Phi)	LW	24	1992-01-01	Yes	195 Lbs	5 ft11	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No
Mikko Lehtonen	Phantoms (Phi)	D	22	1994-01-01	Yes	196 Lbs	6 ft0	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$
Morgan Klimchuk	Phantoms (Phi)	LW	21	1995-01-01	Yes	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	650,000$	650,000$	0$	0$	No	650,000$	650,000$
Nick Shore	Phantoms (Phi)	C	24	1992-01-01	Yes	194 Lbs	6 ft1	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	850,000$
Nick Sorensen	Phantoms (Phi)	RW	22	1994-01-01	Yes	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	525,000$	525,000$	0$	0$	No	525,000$	525,000$
Reid McNeill	Phantoms (Phi)	D	24	1992-01-01	Yes	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	650,000$	650,000$	0$	0$	No
Riley Stillman	Phantoms (Phi)	D	18	1998-01-01	Yes	196 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$
Rinat Valiev	Phantoms (Phi)	D	21	1995-01-01	Yes	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$	500,000$
Sven Andrighetto	Phantoms (Phi)	RW	23	1993-01-01	Yes	185 Lbs	5 ft10	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	0$	No	700,000$	700,000$
Tomas Kubalik	Phantoms (Phi)	RW	26	1990-01-01	No	212 Lbs	6 ft2	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	1,000,000$
Travis Konecny	Phantoms (Phi)	RW	19	1997-01-01	Yes	175 Lbs	5 ft10	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Zachary Fucale	Phantoms (Phi)	G	21	1995-01-01	No	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$	500,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
35	21.80	190 Lbs	6 ft0	2.00	577,714$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,	,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

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

	Ligue												Domicile											Visiteur
#	VS Équipe	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	PCT	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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

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

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

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
0	0	0.00%	0	0	0.00%	0	0	0.00%

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
0	0	0	0	0	0

Derniers Match Joués 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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	RI	Lien

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	35	15
Assistance	0.00%	0.00%
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	2,022,000$	1,685,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	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

	Phantoms
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Simon DeChamplain \| Morale : 40 \| Moyenne d'Équipe : 65