Stanley Cup Winners Hockey League - VICTORIAVILLE Tigres

VEGAS Golden Knights
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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	Peter Cehlarik	0		X			100.00	63	38	89	63	81	79	75	64	57	62	61	63	64	69	65	63	75	68	0
2	Anton Slepyshev	0		X			100.00	70	41	82	72	82	76	68	66	30	65	65	62	70	54	52	62	46	67	0
3	Daniel Sprong	0			X		100.00	58	43	89	64	71	82	81	63	58	61	62	59	68	65	63	73	70	67	0
4	Dylan Gambrell	0	X				100.00	59	43	87	65	71	79	77	63	75	62	60	64	63	67	65	66	75	67	0
5	Troy Terry	0			X		100.00	58	39	85	67	70	76	73	69	57	68	63	61	72	65	66	54	75	67	0
6	Carl Grundstrom	0			X		100.00	65	45	88	64	75	84	78	62	57	60	60	63	66	65	63	72	75	67	0
7	Sam Steel	0	X				100.00	56	39	85	67	70	79	73	66	83	70	64	61	67	63	64	78	75	67	0
8	Shawn Matthias	0	X	X			100.00	63	41	82	71	89	77	44	60	30	62	61	69	65	72	61	58	71	66	0
9	Garrett Pilon	0	X				100.00	58	43	82	60	72	88	90	59	68	58	57	61	59	63	62	64	76	66	0
10	Mason Appleton	0			X		100.00	62	43	87	60	79	73	77	62	66	59	58	61	60	67	64	56	76	65	0
11	Trent Frederic	0	X				100.00	63	56	79	60	81	75	74	58	71	59	59	61	60	63	65	79	75	65	0
12	Givani Smith	0		X			100.00	64	53	81	61	82	74	73	59	52	57	58	60	59	63	62	74	67	65	0
13	Robbie Russo	0				X	100.00	59	48	87	61	73	87	89	62	30	60	53	56	48	73	67	53	53	67	0
14	Kyle Capobianco	0				X	100.00	61	47	84	64	77	79	73	62	30	63	59	61	55	65	62	68	75	66	0
15	Olli Juolevi	0				X	100.00	63	38	89	65	77	80	76	63	30	64	53	62	45	63	62	88	27	66	0
16	Matt Hunwick	0				X	100.00	54	35	80	61	71	73	57	61	30	58	53	71	62	71	57	26	18	63	0
17	Dalton Prout	0				X	100.00	69	35	75	60	86	69	60	60	30	54	56	69	64	60	53	40	33	63	0
Rayé
1	Brandon Gignac	0		X			100.00	55	42	85	61	66	79	77	59	54	60	58	57	61	65	63	64	75	64	0
2	Lukas Jasek	0			X		100.00	54	43	86	58	55	87	89	59	54	57	57	60	58	65	61	63	59	64	0
3	Chase Balisy (R)	0	X		X		100.00	50	89	64	63	68	50	50	63	70	54	54	51	54	50	50	42	21	55	0
4	Linus Olund (R)	0	X				100.00	50	89	71	62	71	47	50	62	70	54	54	52	54	50	50	44	21	55	0
5	Travis Barron (R)	0		X			100.00	53	89	64	55	77	50	50	55	50	53	53	51	53	50	50	44	21	54	0
6	Jonne Tammela	0	X				100.00	50	89	71	57	68	44	50	57	70	52	52	51	52	50	50	44	21	53	0
7	Brian Lashoff	0				X	100.00	66	47	88	59	86	81	72	58	30	57	56	61	52	78	68	46	72	66	0
8	Samuel Morin	0				X	100.00	69	35	75	53	93	64	52	53	30	50	50	65	58	50	50	83	76	59	0

	MOYENNE D'ÉQUIPE					100.00	60	50	81	62	76	73	69	61	51	59	57	60	60	63	60	60	57	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	Oscar Dansk	100.00	76	70	68	82	75	74	76	75	74	76	75	71	75	74	77	68	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	76	70	68	82	75	74	76	75	74	76	75	71	75	74	77	68

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ross Yates	62	62	62	62	75	75	48	CAN	61	3	300,000$

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	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Anton Slepyshev	VICTORIAVILLE Tigres (VGK)	LW	25	1994-05-13	No	100 Kg	188 CM	No	No	No	2	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	1,000,000$	0$	0$	No	1,000,000$					Lien
Brandon Gignac	VICTORIAVILLE Tigres (VGK)	LW	21	1997-11-07	No	77 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Brian Lashoff	VICTORIAVILLE Tigres (VGK)	D	29	1990-07-16	No	97 Kg	191 CM	No	No	No	2	Pro & Farm	650,000$	650,000$	650,000$	650,000$	0$	0$	No	650,000$					Lien
Carl Grundstrom	VICTORIAVILLE Tigres (VGK)	RW	21	1997-12-01	No	91 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Chase Balisy	VICTORIAVILLE Tigres (VGK)	C/RW	27	1992-02-02	Yes	81 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Dalton Prout	VICTORIAVILLE Tigres (VGK)	D	29	1990-03-13	No	98 Kg	191 CM	No	No	No	2	Pro & Farm	2,250,000$	2,250,000$	2,250,000$	2,250,000$	0$	0$	No	2,250,000$					Lien
Daniel Sprong	VICTORIAVILLE Tigres (VGK)	RW	22	1997-03-17	No	87 Kg	180 CM	No	No	No	4	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Dylan Gambrell	VICTORIAVILLE Tigres (VGK)	C	23	1996-08-26	No	84 Kg	183 CM	No	No	No	6	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	Lien
Garrett Pilon	VICTORIAVILLE Tigres (VGK)	C	21	1998-04-13	No	85 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Givani Smith	VICTORIAVILLE Tigres (VGK)	LW	21	1998-02-27	No	95 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Jonne Tammela	VICTORIAVILLE Tigres (VGK)	C	22	1997-08-05	No	85 Kg	178 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$				Lien
Kyle Capobianco	VICTORIAVILLE Tigres (VGK)	D	22	1997-08-13	No	89 Kg	185 CM	No	No	No	4	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Linus Olund	VICTORIAVILLE Tigres (VGK)	C	22	1997-06-05	Yes	84 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Lukas Jasek	VICTORIAVILLE Tigres (VGK)	RW	22	1997-08-28	No	75 Kg	155 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Mason Appleton	VICTORIAVILLE Tigres (VGK)	RW	23	1996-01-15	No	88 Kg	188 CM	No	No	No	5	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$		Lien
Matt Hunwick	VICTORIAVILLE Tigres (VGK)	D	34	1985-05-21	No	88 Kg	180 CM	No	No	No	1	Pro & Farm	2,250,000$	2,250,000$	2,250,000$	2,250,000$	0$	0$	No						Lien
Olli Juolevi	VICTORIAVILLE Tigres (VGK)	D	21	1998-05-05	No	83 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Oscar Dansk	VICTORIAVILLE Tigres (VGK)	G	25	1994-02-28	No	89 Kg	191 CM	No	No	No	4	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Peter Cehlarik	VICTORIAVILLE Tigres (VGK)	LW	24	1995-08-02	No	92 Kg	188 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$					Lien
Robbie Russo	VICTORIAVILLE Tigres (VGK)	D	26	1993-02-15	No	87 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$					Lien
Sam Steel	VICTORIAVILLE Tigres (VGK)	C	21	1998-02-03	No	86 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No						Lien
Samuel Morin	VICTORIAVILLE Tigres (VGK)	D	24	1995-07-12	No	92 Kg	198 CM	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$				Lien
Shawn Matthias	VICTORIAVILLE Tigres (VGK)	C/LW	31	1988-02-19	No	105 Kg	193 CM	No	No	No	2	Pro & Farm	2,250,000$	2,250,000$	2,250,000$	2,250,000$	0$	0$	No	2,250,000$					Lien
Travis Barron	VICTORIAVILLE Tigres (VGK)	LW	20	1998-11-17	Yes	91 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	325,000$	325,000$	0$	0$	No						Lien
Trent Frederic	VICTORIAVILLE Tigres (VGK)	C	21	1998-02-11	No	92 Kg	188 CM	No	No	No	3	Pro & Farm	925,000$	925,000$	925,000$	925,000$	0$	0$	No	925,000$	925,000$				Lien
Troy Terry	VICTORIAVILLE Tigres (VGK)	RW	21	1997-09-10	No	82 Kg	183 CM	No	No	No	4	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	750,000$			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	23.77	89 Kg	185 CM	2.27	935,577$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				31	1	2	2
2		Sam Steel		26	1	2	2
3		Trent Frederic	Mason Appleton	23	1	2	2
4			Carl Grundstrom	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			31	1	2	2
2			26	1	2	2
3			23	1	2	2
4			20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				55	1	2	2
2		Sam Steel		45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2		Mason Appleton	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		55	1	2	2			55	1	2	2
2		45	1	2	2			45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2		Mason Appleton	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	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
Garrett Pilon, , Carl Grundstrom	Garrett Pilon,	Carl Grundstrom

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , Mason Appleton, Sam Steel

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
, , , Mason Appleton, Sam Steel, Carl Grundstrom, Carl Grundstrom, , Trent Frederic, ,

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 de l'Aréna	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 de l'Aréna	Popularité de l'Équipe
41	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$	2,432,500$	2,390,000$	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
Saison Régulière
33	82	36	34	0	4	6	2	0	405	315	90	41	18	16	0	1	5	1	0	207	156	51	41	18	18	0	3	1	1	0	198	159	39	72	405	688	1093	0	13	210	111	78	7	4302	1441	1405	1445	18	2097	604	357	1283	242	30	12.40%	153	42	72.55%	0	1926	3007	64.05%	923	1748	52.80%	859	1397	61.49%	2498	1994	1598	444	856	462
Total Saison Régulière	82	36	34	0	4	6	2	0	405	315	90	41	18	16	0	1	5	1	0	207	156	51	41	18	18	0	3	1	1	0	198	159	39	72	405	688	1093	0	13	210	111	78	7	4302	1441	1405	1445	18	2097	604	357	1283	242	30	12.40%	153	42	72.55%	0	1926	3007	64.05%	923	1748	52.80%	859	1397	61.49%	2498	1994	1598	444	856	462
Séries
33	4	0	4	0	0	0	0	0	8	32	-24	2	0	2	0	0	0	0	0	5	17	-12	2	0	2	0	0	0	0	0	3	15	-12	0	8	14	22	0	0	0	5	3	0	111	40	41	30	0	147	49	36	85	28	4	14.29%	17	7	58.82%	0	75	142	52.82%	30	80	37.50%	33	74	44.59%	85	59	108	27	45	22
Total Séries	4	0	4	0	0	0	0	0	8	32	-24	2	0	2	0	0	0	0	0	5	17	-12	2	0	2	0	0	0	0	0	3	15	-12	0	8	14	22	0	0	0	5	3	0	111	40	41	30	0	147	49	36	85	28	4	14.29%	17	7	58.82%	0	75	142	52.82%	30	80	37.50%	33	74	44.59%	85	59	108	27	45	22