Ligue de Hockey Simulé du Saguenay

Senateurs
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance

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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	Jonathan Ferland			X		100.00	61	36	74	74	76	72	67	75	61	68	71	73	73	83	77	16	33	70	0	32	1	750,000$
2	Tomas Jurco (R)			X		100.00	75	33	77	67	78	69	65	71	69	73	71	63	69	55	55	44	47	68	0	23	1	700,000$
3	Zemgus Girgensons (R)		X			100.00	75	34	79	67	74	72	65	67	71	73	74	54	70	46	43	53	54	67	0	21	2	500,000$
4	Zachary Sanford (R)		X			100.00	64	22	71	78	58	74	63	78	63	70	68	63	70	46	45	57	35	67	0	21	2	650,000$
5	Kevin Rooney (R)	X				100.00	64	45	72	71	67	69	73	62	75	69	67	55	74	48	49	46	34	65	0	22	2	500,000$
6	Chandler Stephenson (R)	X				100.00	65	38	80	69	65	67	70	66	63	67	64	53	69	45	43	50	38	63	0	21	1	500,000$
7	Kyle Connor (R)		X			100.00	53	35	85	65	65	68	73	67	50	52	85	41	72	43	42	76	30	62	0	19	2	500,000$
8	Grant Besse (R)			X		100.00	53	32	74	65	58	66	56	69	65	59	61	59	69	44	43	39	58	61	0	21	1	500,000$
9	Anthony Richard (R)	X				100.00	54	33	72	64	55	67	43	68	68	72	59	51	76	43	42	71	43	61	0	19	2	500,000$
10	Jake Evans (R)	X				100.00	63	41	69	69	56	61	66	67	67	66	61	49	56	41	41	65	43	61	0	19	1	500,000$
11	Joel Eriksson Ek (R)	X				100.00	56	27	75	67	63	65	60	52	60	59	55	64	57	40	40	84	36	59	0	18	2	500,000$
12	Brett Bulmer (R)			X		100.00	63	36	62	62	64	57	62	62	59	63	64	51	56	45	45	36	58	59	0	23	1	500,000$
13	Warren Foegele (R)		X			100.00	45	30	89	61	68	75	67	55	57	63	48	57	55	41	41	71	34	58	0	19	1	500,000$
14	Scott Harrington (R)				X	100.00	66	33	75	67	70	73	69	65	52	71	56	76	60	49	44	50	49	67	0	22	2	999,999$
15	Dylan Blujus (R)				X	100.00	68	35	77	70	67	67	71	70	56	64	65	73	59	47	43	50	61	67	0	21	1	450,000$
16	Eric Mestery (R)				X	100.00	68	26	71	71	67	73	67	63	50	69	61	71	63	49	48	33	46	66	0	25	1	800,000$
17	Jack Dougherty (R)				X	100.00	67	39	68	66	62	59	59	65	57	65	61	61	62	44	41	70	50	62	0	19	1	500,000$
18	Philippe Myers (R)				X	100.00	57	35	75	67	64	53	55	57	37	64	55	64	47	40	40	85	32	60	0	18	2	500,000$
19	Joonas Lyytinen (R)				X	100.00	63	29	74	60	57	48	55	53	30	59	41	75	41	44	44	58	33	60	0	20	1	500,000$
20	Adam Ollas-Mattsson (R)				X	100.00	54	38	62	64	65	61	60	54	35	63	52	65	38	43	41	64	40	59	0	19	1	500,000$
Rayé
1	Nathan Gerbe	X				100.00	68	37	75	76	73	79	71	72	74	74	69	59	77	62	58	26	34	70	0	28	1	950,000$
2	Nick Foligno		X			100.00	70	40	78	70	65	68	73	67	69	73	69	67	76	65	60	26	36	68	0	28	1	650,000$
3	A.J. Jenks (R)		X			100.00	72	27	66	69	68	72	73	72	71	69	71	65	63	48	47	33	36	67	0	25	1	900,000$
4	Jordan Schroeder (R)	X				100.00	61	33	77	67	67	69	64	75	64	66	70	62	69	56	57	37	19	66	0	25	1	900,000$
5	Blake Coleman (R)	X				100.00	57	23	75	55	60	64	62	57	48	49	67	50	63	58	57	34	19	57	0	24	1	350,000$
6	Branden Troock (R)			X		100.00	56	38	71	66	56	54	61	57	62	56	58	51	55	43	43	39	20	57	0	21	1	995,000$
7	Zach Nastasiuk (R)			X		100.00	55	26	63	53	57	63	63	61	49	61	64	38	50	42	42	51	20	55	0	20	1	995,000$
8	Maxim Letunov (R)	X				100.00	49	38	65	56	55	60	57	55	59	58	62	45	52	41	41	53	19	55	0	19	1	500,000$
9	Keegan Lowe (R)				X	100.00	67	27	75	70	73	82	62	64	46	71	64	73	52	48	44	51	42	68	0	22	1	450,000$
10	Mason Geertsen (R)				X	100.00	66	43	73	56	61	49	74	57	44	51	50	63	52	44	42	54	21	59	0	20	1	250,000$
11	Jonas Siegenthaler (R)				X	100.00	52	24	79	50	55	51	62	43	22	54	36	72	36	40	40	64	19	55	0	18	2	500,000$
12	Gustav Forsling (R)				X	100.00	65	28	71	50	49	62	59	55	32	55	59	49	47	41	41	71	19	54	0	19	1	500,000$
13	Pontus Sjalin (R)				X	100.00	42	33	57	48	49	56	51	48	34	52	48	45	35	41	41	47	20	48	0	19	1	250,000$

	MOYENNE D'ÉQUIPE					100.00	61	33	73	65	63	65	64	63	55	64	61	59	59	47	46	52	36	62

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Justin Peters	100.00	77	68	71	72	75	74	63	65	72	73	71	59	58	17	53	70	0
2	Sami Aittokallio	100.00	59	69	66	62	58	69	70	75	64	66	63	45	45	37	58	64	0
Rayé
1	Keven Bouchard	100.00	37	63	44	45	50	56	52	52	56	52	54	41	41	48	19	51	0

	MOYENNE D'ÉQUIPE	100.00	58	67	60	60	61	66	62	64	64	64	63	48	48	34	43	62

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mario Lemieux	58	69	72	72	51	55	55	CAN	51	3	1,000,000$

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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2
A.J. Jenks	Senators (Ott)	LW	25	1990-01-01	Yes	206 Lbs	6 ft2	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Adam Ollas-Mattsson	Senators (Ott)	D	19	1996-01-01	Yes	215 Lbs	6 ft5	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Anthony Richard	Senators (Ott)	C	19	1996-01-01	Yes	163 Lbs	5 ft10	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Blake Coleman	Senators (Ott)	C	24	1991-01-01	Yes	200 Lbs	5 ft11	No	No	No	1	Pro & Farm	350,000$	0$	0$	No
Branden Troock	Senators (Ott)	RW	21	1994-01-01	Yes	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	995,000$	0$	0$	No
Brett Bulmer	Senators (Ott)	RW	23	1992-01-01	Yes	212 Lbs	6 ft4	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Chandler Stephenson	Senators (Ott)	C	21	1994-01-01	Yes	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Dylan Blujus	Senators (Ott)	D	21	1994-01-01	Yes	191 Lbs	6 ft2	No	No	No	1	Pro & Farm	450,000$	0$	0$	No
Eric Mestery	Senators (Ott)	D	25	1990-01-01	Yes	195 Lbs	6 ft5	No	No	No	1	Pro & Farm	800,000$	0$	0$	No
Grant Besse	Senators (Ott)	RW	21	1994-01-01	Yes	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Gustav Forsling	Senators (Ott)	D	19	1996-01-01	Yes	186 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Jack Dougherty	Senators (Ott)	D	19	1996-01-01	Yes	196 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Jake Evans	Senators (Ott)	C	19	1996-01-01	Yes	188 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Joel Eriksson Ek	Senators (Ott)	C	18	1997-01-01	Yes	210 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Jonas Siegenthaler	Senators (Ott)	D	18	1997-01-01	Yes	210 Lbs	6 ft3	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Jonathan Ferland	Senators (Ott)	RW	32	1983-01-01	No	209 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	0$	0$	No
Joonas Lyytinen	Senators (Ott)	D	20	1995-01-01	Yes	189 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Jordan Schroeder	Senators (Ott)	C	25	1990-01-01	Yes	175 Lbs	5 ft8	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Justin Peters	Senators (Ott)	G	29	1986-01-01	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	0$	0$	No
Keegan Lowe	Senators (Ott)	D	22	1993-01-01	Yes	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	450,000$	0$	0$	No
Keven Bouchard	Senators (Ott)	G	19	1996-01-01	No	212 Lbs	6 ft2	No	No	No	1	Pro & Farm	250,000$	0$	0$	No
Kevin Rooney	Senators (Ott)	C	22	1993-01-01	Yes	190 Lbs	6 ft2	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Kyle Connor	Senators (Ott)	LW	19	1996-01-01	Yes	182 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Mason Geertsen	Senators (Ott)	D	20	1995-01-01	Yes	185 Lbs	6 ft4	No	No	No	1	Pro & Farm	250,000$	0$	0$	No
Maxim Letunov	Senators (Ott)	C	19	1996-01-01	Yes	185 Lbs	6 ft4	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Nathan Gerbe	Senators (Ott)	C	28	1987-01-01	No	173 Lbs	5 ft6	No	No	No	1	Pro & Farm	950,000$	0$	0$	No
Nick Foligno	Senators (Ott)	LW	28	1987-01-01	No	208 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	0$	0$	No
Philippe Myers	Senators (Ott)	D	18	1997-01-01	Yes	210 Lbs	6 ft5	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Pontus Sjalin	Senators (Ott)	D	19	1996-01-01	Yes	187 Lbs	6 ft0	No	No	No	1	Pro & Farm	250,000$	0$	0$	No
Sami Aittokallio	Senators (Ott)	G	23	1992-01-01	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Scott Harrington	Senators (Ott)	D	22	1993-01-01	Yes	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	999,999$	0$	0$	No	999,999$
Tomas Jurco	Senators (Ott)	RW	23	1992-01-01	Yes	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No
Warren Foegele	Senators (Ott)	LW	19	1996-01-01	Yes	198 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Zach Nastasiuk	Senators (Ott)	RW	20	1995-01-01	Yes	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	995,000$	0$	0$	No
Zachary Sanford	Senators (Ott)	LW	21	1994-01-01	Yes	185 Lbs	6 ft3	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	650,000$
Zemgus Girgensons	Senators (Ott)	LW	21	1994-01-01	Yes	186 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
36	21.69	194 Lbs	6 ft1	1.25	595,556$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Zachary Sanford	Kevin Rooney	Jonathan Ferland	40	1	2	2
2	Zemgus Girgensons	Chandler Stephenson	Tomas Jurco	30	1	2	2
3	Kyle Connor	Jake Evans	Grant Besse	20	1	2	2
4	Warren Foegele	Anthony Richard	Brett Bulmer	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Scott Harrington	Dylan Blujus	40	1	2	2
2	Eric Mestery	Jack Dougherty	30	1	2	2
3	Philippe Myers	Joonas Lyytinen	20	1	2	2
4	Adam Ollas-Mattsson	Scott Harrington	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Zachary Sanford	Kevin Rooney	Jonathan Ferland	60	1	2	2
2	Zemgus Girgensons	Chandler Stephenson	Tomas Jurco	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Scott Harrington	Dylan Blujus	60	1	2	2
2	Eric Mestery	Jack Dougherty	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jonathan Ferland	Tomas Jurco	60	1	2	2
2	Zachary Sanford	Zemgus Girgensons	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Scott Harrington	Dylan Blujus	60	1	2	2
2	Eric Mestery	Jack Dougherty	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jonathan Ferland	60	1	2	2	Scott Harrington	Dylan Blujus	60	1	2	2
2	Tomas Jurco	40	1	2	2	Eric Mestery	Jack Dougherty	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jonathan Ferland	Tomas Jurco	60	1	2	2
2	Zachary Sanford	Zemgus Girgensons	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Scott Harrington	Dylan Blujus	60	1	2	2
2	Eric Mestery	Jack Dougherty	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Zachary Sanford	Kevin Rooney	Jonathan Ferland	Scott Harrington	Dylan Blujus

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Zachary Sanford	Kevin Rooney	Jonathan Ferland	Scott Harrington	Dylan Blujus

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Joel Eriksson Ek, Kyle Connor, Jake Evans	Joel Eriksson Ek, Kyle Connor	Jake Evans

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Philippe Myers, Joonas Lyytinen, Adam Ollas-Mattsson	Philippe Myers	Joonas Lyytinen, Adam Ollas-Mattsson

Tirs de Pénalité
Jonathan Ferland, Tomas Jurco, Zachary Sanford, Zemgus Girgensons, Kevin Rooney

Gardien
#1 : Justin Peters, #2 : Sami Aittokallio

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	33	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
40	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$	2,144,000$	2,124,000$	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

	Senators
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Didier Théodore \| Morale : 1 \| Moyenne d'Équipe : 62