LHSIR - Rocket

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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	Antti Suomela	X				100.00	79	43	93	74	64	54	71	60	72	75	57	66	25	48	48	65	50	0	0
2	Jonah Gadjovich		X			100.00	76	76	76	66	76	59	60	57	50	45	64	63	61	44	44	62	50	0	0
3	Lias Andersson	X	X			100.00	77	44	91	78	70	54	71	57	62	56	55	81	25	51	51	64	50	0	0
4	Lukas Vejdemo	X	X	X		100.00	77	72	87	64	72	72	77	56	70	50	57	64	54	44	44	61	50	0	0
5	Alexandre Texier (R)	X				100.00	67	42	90	83	71	63	67	64	42	65	70	60	25	47	47	69	50	0	0
6	Ryan Carpenter	X		X		100.00	82	45	87	77	73	67	86	60	74	63	56	86	25	60	61	68	50	0	0
7	Trevor Lewis	X		X		100.00	77	44	90	74	75	61	67	59	44	60	60	69	25	74	78	64	50	0	0
8	Troy Brouwer		X	X		100.00	83	93	84	73	83	54	62	57	44	50	58	67	57	79	84	62	50	0	0
9	Will Bitten	X		X		100.00	68	60	87	62	60	69	73	57	71	53	56	59	53	44	44	59	50	0	0
10	Austin Czarnik	X	X	X		100.00	65	58	80	80	58	65	64	71	80	65	70	66	67	62	63	69	50	0	0
11	Nick Henry (R)			X		100.00	74	69	85	66	69	69	74	49	50	47	46	60	44	44	44	54	50	0	0
12	Sam Anas	X		X		100.00	66	54	94	66	54	77	79	70	80	74	62	62	59	44	44	67	50	0	0
13	Braydon Coburn				X	100.00	80	45	87	72	84	64	74	61	25	47	48	70	80	85	92	60	50	0	0
14	Radim Simek				X	100.00	84	45	90	66	72	71	63	58	25	51	48	81	25	55	55	62	50	0	0
15	Joel Hanley				X	100.00	77	70	93	72	70	72	78	49	25	43	39	64	37	53	54	54	50	0	0
16	Lawrence Pilut				X	100.00	71	42	90	77	61	69	74	56	25	39	47	80	25	48	48	59	50	0	0
17	Otto Leskinen (R)				X	100.00	64	61	70	74	61	69	74	52	25	49	40	56	38	44	44	53	50	0	0
18	Dakota Mermis				X	100.00	85	44	87	67	67	77	80	65	25	50	50	75	79	55	55	63	50	0	0
Rayé
1	Brett Lernout				X	100.00	80	80	81	64	80	66	73	44	25	31	39	65	37	55	55	52	50	0	0

	MOYENNE D'ÉQUIPE					100.00	75	57	86	71	69	66	72	58	48	53	54	68	44	55	56	61	50	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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Adam Wilcox	100.00	47	55	69	69	43	46	50	53	46	47	30	44	44	48	50	0	0
2	Vitek Vanecek	100.00	63	63	79	68	63	65	64	70	65	65	30	44	44	64	50	0	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	55	59	74	69	53	56	57	62	56	56	30	44	44	56	50	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Travis Green	81	84	80	82	72	67	77	CAN	51	3	1,650,250$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S2	S3
1	Dakota Mermis	Rocket (MTL)	D	5	2	1	3	-1	8	12	5	6	1	4	33.33%	1	110	22.11	2	1	3	5	27	0	16	1	0.00%	0	0.54	1	0
2	Radim Simek	Rocket (MTL)	D	5	0	2	2	0	4	9	11	7	3	3	0.00%	3	114	23.00	0	0	0	5	26	0	19	0	0.00%	0	0.35	0	0
3	Lawrence Pilut	Rocket (MTL)	D	5	1	1	2	-1	2	0	8	11	3	4	9.09%	3	108	21.64	1	1	2	10	26	0	17	0	0.00%	0	0.37	0	0
4	Ryan Carpenter	Rocket (MTL)	C/RW	5	0	2	2	-1	4	5	8	12	2	8	0.00%	1	103	20.78	0	2	2	1	27	0	18	0	44.44%	9	0.38	0	0
5	Trevor Lewis	Rocket (MTL)	C/RW	5	1	1	2	0	2	6	11	3	2	2	33.33%	1	95	19.10	0	1	1	0	26	0	13	0	51.04%	96	0.42	0	1
6	Austin Czarnik	Rocket (MTL)	C/LW/RW	5	2	0	2	-1	0	3	20	12	2	6	16.67%	0	106	21.37	1	0	1	2	26	1	19	0	61.44%	153	0.37	1	0
7	Sam Anas	Rocket (MTL)	C/RW	5	0	2	2	0	2	0	3	2	1	3	0.00%	2	81	16.32	0	1	1	0	29	0	0	0	75.00%	8	0.49	0	1
8	Braydon Coburn	Rocket (MTL)	D	5	0	1	1	1	6	6	3	0	3	3	0.00%	4	112	22.41	0	1	1	0	27	0	16	0	0.00%	0	0.18	0	0
9	Lias Andersson	Rocket (MTL)	C/LW	5	0	1	1	0	4	7	12	7	2	5	0.00%	0	79	15.80	0	0	0	1	26	0	0	0	50.00%	2	0.25	0	0
10	Alexandre Texier	Rocket (MTL)	C	5	1	0	1	0	2	4	10	8	4	1	12.50%	1	64	12.91	0	0	0	0	0	0	13	1	58.82%	51	0.31	1	0
11	Antti Suomela	Rocket (MTL)	C	5	0	0	0	0	0	2	5	3	2	1	0.00%	2	46	9.23	0	0	0	0	6	0	1	0	66.67%	33	0.00	0	0
12	Joel Hanley	Rocket (MTL)	D	5	0	0	0	-1	4	8	3	0	0	1	0.00%	0	75	15.19	0	0	0	0	6	0	2	0	0.00%	0	0.00	0	0
13	Jonah Gadjovich	Rocket (MTL)	LW	5	0	0	0	0	2	2	6	3	0	3	0.00%	0	45	9.11	0	0	0	0	0	0	9	0	33.33%	6	0.00	0	0
14	Lukas Vejdemo	Rocket (MTL)	C/LW/RW	5	0	0	0	0	0	5	1	5	2	2	0.00%	0	60	12.05	0	0	0	0	4	1	5	0	0.00%	1	0.00	0	0
15	Troy Brouwer	Rocket (MTL)	LW/RW	5	0	0	0	-1	2	10	4	2	1	4	0.00%	0	79	15.98	0	0	0	2	27	0	0	0	37.50%	8	0.00	0	0
16	Will Bitten	Rocket (MTL)	C/RW	5	0	0	0	0	2	1	6	4	0	2	0.00%	0	49	9.83	0	0	0	0	1	0	0	0	100.00%	2	0.00	0	0
17	Otto Leskinen	Rocket (MTL)	D	5	0	0	0	0	10	7	1	5	0	2	0.00%	2	76	15.20	0	0	0	2	3	0	8	0	0.00%	0	0.00	0	0
18	Nick Henry	Rocket (MTL)	RW	5	0	0	0	0	0	1	1	0	2	0	0.00%	0	37	7.48	0	0	0	0	0	0	0	0	100.00%	2	0.00	0	0
Stats d'équipe Total ou en Moyenne				90	7	11	18	-5	54	88	118	90	30	54	7.78%	20	1447	16.08	4	7	11	28	293	2	160	2	57.95%	371	0.25	3	2

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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
1	Vitek Vanecek	Rocket (MTL)	5	2	3	0	0.933	1.41	298	0	2	7	105	0	1	0	0.000	0	5	0	2	0	1
Stats d'équipe Total ou en Moyenne			5	2	3	0	0.933	1.41	298	0	2	7	105	0	1	0	0.000	0	5	0	2	0	1

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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	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Moyen	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Adam Wilcox	Rocket (MTL)	G	26	1994-04-25	No	187 Lbs	6 ft0	No	No	No	3	Pro & Farm	808,750$	808,750$	0$	0$	No	808,750$	808,750$	Lien
Alexandre Texier	Rocket (MTL)	C	20	1999-09-13	Yes	192 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$
Antti Suomela	Rocket (MTL)	C	26	1994-03-17	No	172 Lbs	6 ft0	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	0$	No	700,000$	700,000$	Lien
Austin Czarnik	Rocket (MTL)	C/LW/RW	27	1992-12-12	No	160 Lbs	5 ft9	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No			Lien
Braydon Coburn	Rocket (MTL)	D	35	1985-02-27	No	223 Lbs	6 ft5	No	No	No	1	Pro & Farm	2,500,000$	2,500,000$	0$	0$	No			Lien
Brett Lernout	Rocket (MTL)	D	24	1995-09-23	No	213 Lbs	6 ft4	No	No	No	2	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$		Lien
Dakota Mermis	Rocket (MTL)	D	26	1994-01-05	No	188 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No			Lien
Joel Hanley	Rocket (MTL)	D	29	1991-06-08	No	193 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,200,000$	1,200,000$	0$	0$	No	1,200,000$		Lien
Jonah Gadjovich	Rocket (MTL)	LW	21	1998-10-12	No	209 Lbs	6 ft2	No	No	No	2	Pro & Farm	863,333$	450,000$	0$	0$	No	863,333$		Lien
Lawrence Pilut	Rocket (MTL)	D	24	1995-12-29	No	165 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No			Lien
Lias Andersson	Rocket (MTL)	C/LW	21	1998-10-13	No	198 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,744,166$	450,000$	0$	0$	No	1,744,166$		Lien
Lukas Vejdemo	Rocket (MTL)	C/LW/RW	24	1996-01-25	No	194 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	450,000$	0$	0$	No	925,000$		Lien
Nick Henry	Rocket (MTL)	RW	20	1999-07-04	Yes	192 Lbs	5 ft11	No	No	No	3	Pro & Farm	826,666$	826,666$	0$	0$	No	826,666$	826,666$
Otto Leskinen	Rocket (MTL)	D	23	1997-02-06	Yes	168 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No			Lien
Radim Simek	Rocket (MTL)	D	27	1992-09-20	No	205 Lbs	5 ft10	No	No	No	3	Pro & Farm	675,000$	675,000$	0$	0$	No	675,000$	675,000$	Lien
Ryan Carpenter	Rocket (MTL)	C/RW	29	1991-01-18	No	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No			Lien
Sam Anas	Rocket (MTL)	C/RW	27	1993-05-31	No	154 Lbs	5 ft8	No	No	No	3	Pro & Farm	675,000$	675,000$	0$	0$	No	675,000$	675,000$	Lien
Trevor Lewis	Rocket (MTL)	C/RW	33	1987-01-07	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	0$	0$	No	2,000,000$		Lien
Troy Brouwer	Rocket (MTL)	LW/RW	34	1985-08-17	No	215 Lbs	6 ft3	No	No	No	1	Pro & Farm	3,000,000$	3,000,000$	0$	0$	No			Lien
Vitek Vanecek	Rocket (MTL)	G	24	1996-01-08	No	180 Lbs	6 ft1	No	No	No	2	Pro & Farm	863,333$	450,000$	0$	0$	No	863,333$		Lien
Will Bitten	Rocket (MTL)	C/RW	21	1998-07-10	No	168 Lbs	5 ft10	No	No	No	2	Pro & Farm	910,000$	450,000$	0$	0$	No	910,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	25.76	190 Lbs	6 ft0	1.95	1,165,059$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Troy Brouwer	Austin Czarnik	Ryan Carpenter	35	1	2	2
2	Lias Andersson	Trevor Lewis	Sam Anas	30	1	2	2
3	Lukas Vejdemo	Alexandre Texier	Will Bitten	25	1	2	2
4	Jonah Gadjovich	Antti Suomela	Nick Henry	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Braydon Coburn	Radim Simek	35	1	2	2
2	Dakota Mermis	Lawrence Pilut	30	1	2	2
3	Joel Hanley	Otto Leskinen	25	1	2	2
4	Braydon Coburn	Radim Simek	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Troy Brouwer	Austin Czarnik	Ryan Carpenter	60	1	2	2
2	Lias Andersson	Trevor Lewis	Sam Anas	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Braydon Coburn	Radim Simek	60	1	2	2
2	Dakota Mermis	Lawrence Pilut	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Austin Czarnik	Ryan Carpenter	60	1	2	2
2	Trevor Lewis	Alexandre Texier	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Braydon Coburn	Radim Simek	60	1	2	2
2	Dakota Mermis	Lawrence Pilut	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Austin Czarnik	60	1	2	2	Braydon Coburn	Radim Simek	60	1	2	2
2	Ryan Carpenter	40	1	2	2	Dakota Mermis	Lawrence Pilut	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Austin Czarnik	Ryan Carpenter	60	1	2	2
2	Trevor Lewis	Alexandre Texier	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Braydon Coburn	Radim Simek	60	1	2	2
2	Dakota Mermis	Lawrence Pilut	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Troy Brouwer	Austin Czarnik	Ryan Carpenter	Braydon Coburn	Radim Simek

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Troy Brouwer	Austin Czarnik	Ryan Carpenter	Braydon Coburn	Radim Simek

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Antti Suomela, Lukas Vejdemo, Jonah Gadjovich	Antti Suomela, Lukas Vejdemo	Jonah Gadjovich

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Joel Hanley, Otto Leskinen, Dakota Mermis	Joel Hanley	Otto Leskinen, Dakota Mermis

Tirs de Pénalité
Austin Czarnik, Ryan Carpenter, Trevor Lewis, Alexandre Texier, Troy Brouwer

Gardien
#1 : Vitek Vanecek, #2 : Adam Wilcox

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
1	Bruins	5	2	3	0	0	0	0	0	7	7	0	3	2	1	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	1	3	-2	4	0.400	7	11	18	0	2	2	5	0	0	90	28	31	31	0	105	20	54	88	38	4	10.53%	24	3	87.50%	0	87	153	56.86%	90	159	56.60%	38	59	64.41%	119	81	119	38	61	30
	Total	5	2	3	0	0	0	0	0	7	7	0	3	2	1	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	1	3	-2	4	0.400	7	11	18	0	2	2	5	0	0	90	28	31	31	0	105	20	54	88	38	4	10.53%	24	3	87.50%	0	87	153	56.86%	90	159	56.60%	38	59	64.41%	119	81	119	38	61	30
	_Since Last GM Reset	5	2	3	0	0	0	0	0	7	7	0	3	2	1	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	1	3	-2	4	0.400	7	11	18	0	2	2	5	0	0	90	28	31	31	0	105	20	54	88	38	4	10.53%	24	3	87.50%	0	87	153	56.86%	90	159	56.60%	38	59	64.41%	119	81	119	38	61	30
	_Vs Conference	5	2	3	0	0	0	0	0	7	7	0	3	2	1	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	1	3	-2	4	0.400	7	11	18	0	2	2	5	0	0	90	28	31	31	0	105	20	54	88	38	4	10.53%	24	3	87.50%	0	87	153	56.86%	90	159	56.60%	38	59	64.41%	119	81	119	38	61	30
	_Vs Division	5	2	3	0	0	0	0	0	7	7	0	3	2	1	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	1	3	-2	4	0.400	7	11	18	0	2	2	5	0	0	90	28	31	31	0	105	20	54	88	38	4	10.53%	24	3	87.50%	0	87	153	56.86%	90	159	56.60%	38	59	64.41%	119	81	119	38	61	30

			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
5	4	L3	7	11	18	90	105	20	54	88	0	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	7	7

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	6	4

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	1	3

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	3	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
38	4	10.53%	24	3	87.50%	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
28	31	31	0	2	5	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
87	153	56.86%	90	159	56.60%	38	59	64.41%

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
119	81	119	38	61	30

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	Lien
1 - 2020-06-22	2	Bruins	0	Rocket	3	W	Sommaire du Match
2 - 2020-06-23	6	Bruins	0	Rocket	1	W	Sommaire du Match
3 - 2020-06-24	10	Rocket	1	Bruins	2	L	Sommaire du Match
4 - 2020-06-25	14	Rocket	0	Bruins	1	L	Sommaire du Match
5 - 2020-06-26	18	Bruins	4	Rocket	2	L	Sommaire du Match

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
-3	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$	2,446,625$	2,141,042$	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
2020	5	2	3	0	0	0	0	0	7	7	0	3	2	1	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	1	3	-2	4	7	11	18	0	2	2	5	0	0	90	28	31	31	0	105	20	54	88	38	4	10.53%	24	3	87.50%	0	87	153	56.86%	90	159	56.60%	38	59	64.41%	119	81	119	38	61	30
Total Séries	5	2	3	0	0	0	0	0	7	7	0	3	2	1	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	1	3	-2	4	7	11	18	0	2	2	5	0	0	90	28	31	31	0	105	20	54	88	38	4	10.53%	24	3	87.50%	0	87	153	56.86%	90	159	56.60%	38	59	64.41%	119	81	119	38	61	30