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	Bryan Rust (R)			X		100.00	68	25	86	72	77	87	77	72	74	74	74	74	67	62	51	43	40	72	0	24	1	995,000$
2	Matthew Nieto (R)		X			100.00	71	27	78	72	75	79	77	72	75	80	72	63	69	62	58	42	40	71	0	24	1	900,000$
3	Jake DeBrusk (R)		X			100.00	75	52	80	73	76	75	73	70	67	73	76	65	69	48	44	66	40	70	0	20	1	500,000$
4	Kevin Labanc (R)			X		100.00	59	27	78	86	72	70	72	79	70	71	70	65	82	52	46	59	40	70	0	20	4	950,000$
5	Evgeny Svechnikov (R)			X		100.00	67	32	84	64	87	74	75	69	76	68	87	48	68	47	45	64	40	69	0	20	1	500,000$
6	Philip Varone (R)	X				100.00	69	24	67	70	74	73	76	74	77	74	71	59	65	68	63	32	40	69	0	26	2	900,000$
7	Victor Rask (R)	X				100.00	69	33	77	71	77	71	73	71	75	69	77	61	74	54	47	48	40	69	0	23	1	950,000$
8	Ryan Spooner (R)	X				100.00	62	31	74	71	72	71	71	67	74	77	68	58	64	50	47	40	40	67	0	24	2	800,000$
9	Nico Sturm (R)	X				100.00	61	29	86	68	73	77	74	61	69	72	53	70	65	44	47	54	40	66	0	21	2	500,000$
10	Barclay Goodrow (R)			X		100.00	74	29	71	71	66	67	66	65	62	66	68	67	61	45	47	42	40	65	0	23	2	800,000$
11	Peter Cehlarik (R)		X			100.00	64	45	78	68	64	69	68	69	73	71	67	56	67	44	44	57	40	65	0	21	1	750,000$
12	Chris Brown (R)	X				100.00	61	41	79	71	69	68	72	63	59	55	80	51	68	49	49	33	40	64	0	25	1	700,000$
13	Tyler Shattock (R)			X		100.00	60	32	62	65	63	68	63	68	62	59	71	60	61	58	56	29	40	63	0	26	1	650,000$
14	Mathieu Brodeur (R)				X	100.00	70	28	83	66	70	75	75	70	45	68	58	75	56	62	51	28	40	69	0	26	1	850,000$
15	Greg Pateryn (R)				X	100.00	72	37	63	71	72	77	65	65	56	71	64	73	58	61	51	30	40	68	0	26	1	800,000$
16	Rasmus Andersson (R)				X	100.00	65	36	79	78	56	61	67	78	36	76	61	68	49	44	45	67	40	67	0	20	1	500,000$
17	Frank Corrado (R)				X	100.00	67	40	73	68	72	73	72	70	54	67	55	68	56	47	47	43	40	66	0	23	1	650,000$
18	John Gilmour (R)				X	100.00	70	32	75	62	59	73	64	72	47	70	56	62	54	45	46	37	40	64	0	23	1	600,000$
19	Trevor Carrick (R)				X	100.00	58	38	72	77	61	66	73	72	36	72	52	65	37	44	44	38	40	64	0	22	2	575,000$
20	Petteri Lindbohm (R)				X	100.00	56	39	74	59	62	64	67	70	42	65	69	64	53	45	49	40	40	63	0	23	2	575,000$
Rayé
1	Eric Karlsson (R)		X			100.00	79	33	69	63	76	64	69	62	59	62	69	56	53	44	44	45	40	62	0	22	1	550,000$
2	Ryan Donato (R)	X				100.00	70	34	71	60	75	63	67	62	69	63	72	44	63	42	42	61	40	62	0	20	2	600,000$
3	Jesper Bratt (R)		X			100.00	56	47	66	65	59	68	64	65	67	64	62	50	67	40	40	79	40	60	0	18	2	500,000$
4	Vladislav Kamenev (R)	X				100.00	67	27	70	46	69	63	65	64	56	54	71	54	70	42	42	62	40	59	0	20	2	600,000$
5	Tage Thompson (R)			X		100.00	54	29	82	65	61	74	61	47	61	67	48	57	56	43	42	73	40	57	0	19	2	500,000$
6	Radim Zohorna (R)		X			100.00	54	36	72	54	65	69	57	56	51	53	66	40	52	45	43	62	40	56	0	20	2	500,000$
7	Alexander True (R)	X				100.00	59	39	60	54	61	50	64	56	53	53	50	43	53	41	41	54	40	52	0	19	1	500,000$
8	Dominik Masin (R)				X	100.00	61	31	82	61	64	58	65	46	23	54	35	72	43	42	42	59	40	60	0	20	1	500,000$
9	Brandon Hickey (R)				X	100.00	59	26	79	56	58	58	59	48	32	63	40	72	47	42	42	48	40	59	0	20	3	600,000$
10	Christian Jaros (R)				X	100.00	62	28	72	59	57	57	54	57	29	64	42	68	48	42	43	54	40	59	0	20	1	500,000$

	MOYENNE D'ÉQUIPE					100.00	65	34	75	66	68	69	68	65	58	67	63	61	60	48	47	50	40	64

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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	Michael Hutchinson	100.00	69	77	71	72	75	74	72	77	76	70	70	59	58	29	40	73	0
Rayé
1	Nathan Lieuwen	100.00	65	65	65	60	60	68	61	66	69	60	63	60	58	31	40	64	0
2	Vitek Vanecek	100.00	60	66	67	53	55	69	75	48	53	72	59	42	42	56	40	60	0
3	Collin Delia (R)	100.00	70	49	61	68	66	52	47	54	59	51	64	40	40	70	40	56	0

	MOYENNE D'ÉQUIPE	100.00	66	64	66	63	64	66	64	61	64	63	64	50	50	47	40	63

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dan Bylsma	77	70	68	70	49	50	64	USA	42	1	800,000$

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
Alexander True	Heat (Cal)	C	19	1997-01-01	Yes	200 Lbs	6 ft5	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Barclay Goodrow	Heat (Cal)	RW	23	1993-01-01	Yes	215 Lbs	6 ft2	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	850,000$
Brandon Hickey	Heat (Cal)	D	20	1996-01-01	Yes	201 Lbs	6 ft2	No	No	No	3	Pro & Farm	600,000$	600,000$	0$	0$	No	600,000$	600,000$
Bryan Rust	Heat (Cal)	RW	24	1992-01-01	Yes	192 Lbs	5 ft11	No	No	No	1	Pro & Farm	995,000$	995,000$	0$	0$	No
Chris Brown	Heat (Cal)	C	25	1991-01-01	Yes	215 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	0$	No
Christian Jaros	Heat (Cal)	D	20	1996-01-01	Yes	222 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Collin Delia	Heat (Cal)	G	22	1994-01-01	Yes	207 Lbs	6 ft2	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$
Dominik Masin	Heat (Cal)	D	20	1996-01-01	Yes	196 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Eric Karlsson	Heat (Cal)	LW	22	1994-01-01	Yes	161 Lbs	5 ft11	No	No	No	1	Pro & Farm	550,000$	550,000$	0$	0$	No
Evgeny Svechnikov	Heat (Cal)	RW	20	1996-01-01	Yes	208 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Frank Corrado	Heat (Cal)	D	23	1993-01-01	Yes	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	650,000$	0$	0$	No
Greg Pateryn	Heat (Cal)	D	26	1990-01-01	Yes	214 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No
Jake DeBrusk	Heat (Cal)	LW	20	1996-01-01	Yes	188 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Jesper Bratt	Heat (Cal)	LW	18	1998-01-01	Yes	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$
John Gilmour	Heat (Cal)	D	23	1993-01-01	Yes	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	600,000$	600,000$	0$	0$	No
Kevin Labanc	Heat (Cal)	RW	20	1996-01-01	Yes	185 Lbs	5 ft11	No	No	No	4	Pro & Farm	950,000$	950,000$	0$	0$	No	1,200,000$	1,900,000$	2,800,000$
Mathieu Brodeur	Heat (Cal)	D	26	1990-01-01	Yes	215 Lbs	6 ft6	No	No	No	1	Pro & Farm	850,000$	850,000$	0$	0$	No
Matthew Nieto	Heat (Cal)	LW	24	1992-01-01	Yes	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	0$	No
Michael Hutchinson	Heat (Cal)	G	26	1990-01-01	No	202 Lbs	6 ft3	No	No	No	2	Pro & Farm	975,000$	975,000$	0$	0$	No	975,000$
Nathan Lieuwen	Heat (Cal)	G	25	1991-01-01	No	189 Lbs	6 ft5	No	No	No	2	Pro & Farm	700,000$	700,000$	0$	0$	No	700,000$
Nico Sturm	Heat (Cal)	C	21	1995-01-01	Yes	207 Lbs	6 ft3	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$
Peter Cehlarik	Heat (Cal)	LW	21	1995-01-01	Yes	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No
Petteri Lindbohm	Heat (Cal)	D	23	1993-01-01	Yes	209 Lbs	6 ft3	No	No	No	2	Pro & Farm	575,000$	575,000$	0$	0$	No	600,000$
Philip Varone	Heat (Cal)	C	26	1990-01-01	Yes	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$
Radim Zohorna	Heat (Cal)	LW	20	1996-01-01	Yes	229 Lbs	6 ft6	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$
Rasmus Andersson	Heat (Cal)	D	20	1996-01-01	Yes	214 Lbs	6 ft1	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Ryan Donato	Heat (Cal)	C	20	1996-01-01	Yes	193 Lbs	6 ft0	No	No	No	2	Pro & Farm	600,000$	600,000$	0$	0$	No	600,000$
Ryan Spooner	Heat (Cal)	C	24	1992-01-01	Yes	181 Lbs	5 ft11	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	850,000$
Tage Thompson	Heat (Cal)	RW	19	1997-01-01	Yes	218 Lbs	6 ft7	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$
Trevor Carrick	Heat (Cal)	D	22	1994-01-01	Yes	171 Lbs	6 ft1	No	No	No	2	Pro & Farm	575,000$	575,000$	0$	0$	No	600,000$
Tyler Shattock	Heat (Cal)	RW	26	1990-01-01	Yes	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	650,000$	650,000$	0$	0$	No
Victor Rask	Heat (Cal)	C	23	1993-01-01	Yes	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No
Vitek Vanecek	Heat (Cal)	G	20	1996-01-01	No	190 Lbs	5 ft11	No	No	No	3	Pro & Farm	600,000$	600,000$	0$	0$	No	600,000$	600,000$
Vladislav Kamenev	Heat (Cal)	C	20	1996-01-01	Yes	194 Lbs	6 ft2	No	No	No	2	Pro & Farm	600,000$	600,000$	0$	0$	No	600,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
34	22.09	198 Lbs	6 ft2	1.62	663,824$

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$	2,257,000$	1,565,000$	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

	Heat
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Steve Landry \| Morale : 40 \| Moyenne d'Équipe : 64