Profi League - Bruins

Bruins
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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	Jonathan Marchessault		X	X		100.00	68	55	85	77	60	75	69	82	63	44	44	59	90	48	49	0	45	62	0
2	Adam Cracknell	X		X		99.00	79	46	67	70	59	58	69	65	85	40	41	64	50	55	56	0	45	59	0
3	Oliver Bjorkstrand (R)			X		100.00	67	42	69	74	59	63	67	70	59	41	44	61	55	52	52	0	48	59	0
4	Bryan Rust		X	X		100.00	70	44	67	69	53	57	67	65	60	41	40	61	50	49	49	0	45	56	0
5	Mike Blunden		X	X		100.00	72	99	58	64	59	51	62	62	57	40	43	57	50	58	59	0	41	56	0
6	Jordan Caron (A)		X	X		100.00	57	76	58	69	58	66	64	59	73	33	37	56	50	60	61	0	48	55	0
7	Tyler Randell			X		100.00	68	99	58	64	58	49	62	59	58	37	44	58	50	46	46	0	52	54	0
8	Brendan Woods	X	X			100.00	74	80	64	66	59	67	64	56	69	32	34	61	50	44	44	0	48	54	0
9	Carter Camper	X		X		100.00	59	62	69	68	49	69	65	59	67	37	33	59	50	44	44	0	48	53	0
10	Joshua Winquist		X			100.00	58	67	60	61	51	60	61	60	77	43	36	58	50	44	44	0	48	53	0
11	Jamie Devane		X			100.00	80	82	65	68	59	62	62	53	66	27	32	59	50	44	44	0	49	53	0
12	Xavier Ouellet				X	100.00	65	74	72	74	69	81	81	52	25	40	38	71	50	68	62	0	42	62	0
13	Slater Koekkoek (R)				X	100.00	66	69	90	78	67	85	86	51	25	41	37	69	50	55	55	0	48	62	0
14	Shane O'Brien				X	100.00	74	85	72	66	86	75	76	51	25	32	27	62	50	73	75	0	47	61	0
15	Tommy Cross				X	100.00	55	77	58	75	61	67	69	61	25	34	29	54	50	44	44	0	52	54	0
16	Keegan Lowe (R)				X	100.00	57	73	64	70	59	68	69	57	25	29	29	56	50	46	46	0	48	53	0
17	Trevor Murphy (R)				X	100.00	55	62	61	67	55	60	64	67	25	36	34	54	50	44	44	0	48	53	0
18	Justin Hache				X	100.00	58	75	65	66	60	68	69	56	25	28	27	56	50	45	45	0	49	52	0
Rayé
1	Eric Boulton		X			94.22	62	60	56	61	59	49	59	59	56	32	42	62	50	76	77	0	46	55	0
2	Joseph Cramarossa	X				100.00	59	70	61	65	54	64	63	55	64	28	35	55	50	44	44	0	46	51	0
3	Ben Sexton	X				100.00	57	66	59	67	51	52	60	53	57	26	32	52	50	44	44	0	46	49	0

	MOYENNE D'ÉQUIPE					99.67	65	70	66	69	59	64	67	60	52	35	36	59	52	52	52	0	47	56

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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	Ryan Massa	100.00	59	63	63	66	67	73	65	67	65	66	53	55	55	0	49	63	0
Rayé
1	Dan Ellis	95.00	69	85	74	73	72	74	61	61	62	59	65	64	62	0	48	66	0

	MOYENNE D'ÉQUIPE	97.50	64	74	69	70	70	74	63	64	64	63	59	60	59	0	49	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ted Dent	58	71	68	66	60	61	78	CAN	46	5	100,000$

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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	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Jonathan Marchessault	Bruins (BOS)		LW/RW	4	3	6	9	-2	2	0	10	22	5	10	13.64%	1	23.:.47	1	1	2	0	8	0	0	62.50%	24	24	3	0	0	1.89	0	0
2	Oliver Bjorkstrand	Bruins (BOS)		RW	4	3	4	7	-2	2	0	6	15	2	15	20.00%	0	17.:.37	0	2	2	0	1	1	0	25.00%	4	9	2	0	0	1.99	0	0
3	Adam Cracknell	Bruins (BOS)		C/RW	4	2	4	6	-1	0	0	11	8	6	15	25.00%	3	24.:.08	0	0	0	0	9	0	0	61.84%	76	5	5	0	0	1.24	0	0
4	Bryan Rust	Bruins (BOS)		LW/RW	4	0	3	3	-2	0	0	4	15	3	13	0.00%	3	18.:.55	0	0	0	0	1	0	0	25.00%	4	10	3	0	0	0.79	0	0
5	Brendan Woods	Bruins (BOS)		C/LW	4	0	3	3	-2	0	0	8	4	2	8	0.00%	0	19.:.46	0	0	0	0	2	0	0	51.56%	64	1	3	0	0	0.76	0	0
6	Mike Blunden	Bruins (BOS)		LW/RW	4	3	0	3	1	32	20	10	10	3	6	30.00%	1	14.:.35	0	0	0	0	0	0	0	80.00%	5	10	3	0	1	1.03	0	0
7	Slater Koekkoek	Bruins (BOS)		D	4	1	2	3	-6	0	0	7	4	2	1	25.00%	8	27.:.18	1	1	2	0	8	0	0	0.00%	0	2	11	0	0	0.55	0	0
8	Xavier Ouellet	Bruins (BOS)		D	4	1	1	2	-4	12	10	3	8	2	4	12.50%	13	25.:.22	0	0	0	0	8	0	1	0.00%	0	1	10	0	0	0.39	0	0
9	Tyler Randell	Bruins (BOS)		RW	4	1	1	2	-7	84	40	6	7	7	5	14.29%	0	11.:.02	0	0	0	0	0	0	0	0.00%	0	14	2	0	0	0.91	0	0
10	Carter Camper	Bruins (BOS)		C/RW	4	0	2	2	-8	0	0	4	10	8	10	0.00%	1	15.:.26	0	0	0	0	0	0	0	50.00%	36	3	5	0	0	0.65	0	0
11	Trevor Murphy	Bruins (BOS)		D	4	1	1	2	-2	2	0	2	4	3	1	25.00%	3	15.:.46	0	0	0	0	0	0	0	0.00%	0	0	3	0	0	0.63	0	0
12	Eric Boulton	Bruins (BOS)		LW	3	1	0	1	-5	0	0	3	6	2	8	16.67%	0	12.:.44	0	0	0	0	2	0	0	25.00%	4	9	0	0	0	0.52	0	0
13	Justin Hache	Bruins (BOS)		D	4	0	1	1	1	7	5	2	4	2	1	0.00%	4	14.:.14	0	0	0	0	1	0	0	0.00%	0	0	4	0	0	0.35	0	0
14	Jordan Caron	Bruins (BOS)		LW/RW	4	0	0	0	2	0	0	2	2	0	2	0.00%	1	04.:.08	0	0	0	0	0	0	0	0.00%	0	2	0	0	0	0.00	0	0
15	Keegan Lowe	Bruins (BOS)		D	4	0	0	0	-5	0	0	4	6	9	4	0.00%	6	19.:.15	0	0	0	0	6	0	0	0.00%	0	1	5	0	0	0.00	0	0
16	Joshua Winquist	Bruins (BOS)		LW	4	0	0	0	-2	0	0	1	1	1	1	0.00%	0	02.:.50	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0	0
17	Tommy Cross	Bruins (BOS)		D	4	0	0	0	-5	14	10	4	5	3	5	0.00%	5	18.:.47	0	0	0	0	4	0	0	0.00%	0	1	4	0	0	0.00	0	0
18	Jamie Devane	Bruins (BOS)		LW	4	0	0	0	-3	5	5	7	3	1	1	0.00%	1	10.:.00	0	0	0	0	2	0	0	0.00%	3	3	0	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		71	16	28	44	-52	160	90	94	84	134	61	110	11.94%	50	1170	16.48	2	4	6	13	67	0	1	58	1	1	54.55%	220	95	64	0	1	0.75	0	0	3	3	12	2	1	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 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	Dan Ellis	Bruins (BOS)	4	1	2	1	85.2%	4.98	229	0	0	19	128	72	0	0	0.0%	0	4	0	0	0	0
Stats d'équipe Total ou en Moyenne	4	1	2	1	0.852	4.98	229	0	0	19	128	72	0	0	0.000	0	4	0	0	0	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 Joueur	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
Adam Cracknell	C/RW	31	15.07.1985	No	210 Lbs	6 ft2	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Ben Sexton	C	25	06.06.1991	No	182 Lbs	5 ft11	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Brendan Woods	C/LW	24	11.06.1992	No	210 Lbs	6 ft4	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Bryan Rust	LW/RW	24	11.05.1992 15:24:46	No	192 Lbs	5 ft11	No	No	1	Pro & Farm	900,000$	0$										Lien
Carter Camper	C/RW	28	06.07.1988 0:50:40	No	176 Lbs	5 ft9	No	No	2	Pro & Farm	700,000$	0$	700,000$									Lien
Dan Ellis	G	36	19.06.1980	No	195 Lbs	5 ft11	No	No	1	Pro & Farm	1,700,000$	0$										Lien
Eric Boulton	LW	40	17.08.1976	No	227 Lbs	6 ft0	No	No	1	Pro & Farm	400,000$	0$										Lien
Jamie Devane	LW	25	20.02.1991 7:37:31	No	217 Lbs	6 ft5	No	No	3	Pro & Farm	600,000$	0$	600,000$	600,000$								Lien
Jonathan Marchessault	LW/RW	25	27.12.1990	No	184 Lbs	5 ft8	No	No	1	Pro & Farm	1,500,000$	0$										Lien
Jordan Caron	LW/RW	25	02.11.1990	No	204 Lbs	6 ft3	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Joseph Cramarossa	C	23	26.10.1992	No	190 Lbs	6 ft0	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Joshua Winquist	LW	23	06.09.1993	No	185 Lbs	5 ft11	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Justin Hache	D	22	10.01.1994	No	202 Lbs	6 ft2	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Keegan Lowe	D	23	29.03.1993	Yes	195 Lbs	6 ft2	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Mike Blunden	LW/RW	29	15.12.1986	No	216 Lbs	6 ft4	No	No	2	Pro & Farm	600,000$	0$	600,000$									Lien
Oliver Bjorkstrand	RW	21	10.04.1995 6:35:04	Yes	176 Lbs	6 ft0	No	No	3	Pro & Farm	1,400,000$	0$	1,400,000$	1,400,000$								Lien
Ryan Massa	G	26	06.07.1990	No	172 Lbs	6 ft0	No	No	1	Pro & Farm	400,000$	0$
Shane O'Brien	D	33	09.08.1983	No	230 Lbs	6 ft3	No	No	2	Pro & Farm	600,000$	0$	600,000$									Lien
Slater Koekkoek	D	22	18.02.1994	Yes	184 Lbs	6 ft2	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Lien
Tommy Cross	D	27	12.09.1989 1:57:38	No	206 Lbs	6 ft3	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Trevor Murphy	D	21	16.07.1995	Yes	172 Lbs	5 ft10	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Tyler Randell	RW	25	15.06.1991 1:34:13	No	197 Lbs	6 ft1	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Xavier Ouellet	D	23	29.07.1993 15:08:31	No	200 Lbs	6 ft1	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	26.13	197 Lbs	6 ft1	3.7391304347826	691,304$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Adam Cracknell	Jonathan Marchessault	Oliver Bjorkstrand	40	1	2	2
2	Brendan Woods	Bryan Rust	Mike Blunden	30	1	2	2
3	Carter Camper		Tyler Randell	20	1	2	2
4	Jonathan Marchessault	Jordan Caron	Adam Cracknell	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Slater Koekkoek	Xavier Ouellet	40	1	2	2
2	Tommy Cross	Keegan Lowe	30	1	2	2
3	Trevor Murphy	Justin Hache	20	1	2	2
4	Slater Koekkoek	Xavier Ouellet	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Adam Cracknell	Jonathan Marchessault	Oliver Bjorkstrand	60	1	2	2
2	Brendan Woods	Bryan Rust	Mike Blunden	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Slater Koekkoek	Xavier Ouellet	60	1	2	2
2	Tommy Cross	Keegan Lowe	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jonathan Marchessault	Adam Cracknell	60	1	2	2
2	Oliver Bjorkstrand	Bryan Rust	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Slater Koekkoek	Xavier Ouellet	60	1	2	2
2	Tommy Cross	Keegan Lowe	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jonathan Marchessault	60	1	2	2	Slater Koekkoek	Xavier Ouellet	60	1	2	2
2	Adam Cracknell	40	1	2	2	Tommy Cross	Keegan Lowe	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jonathan Marchessault	Adam Cracknell	60	1	2	2
2	Oliver Bjorkstrand	Bryan Rust	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Slater Koekkoek	Xavier Ouellet	60	1	2	2
2	Tommy Cross	Keegan Lowe	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Adam Cracknell	Jonathan Marchessault	Oliver Bjorkstrand	Slater Koekkoek	Xavier Ouellet

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Adam Cracknell	Jonathan Marchessault	Oliver Bjorkstrand	Slater Koekkoek	Xavier Ouellet

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jamie Devane, Joshua Winquist,	Jamie Devane, Joshua Winquist

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Trevor Murphy, Justin Hache, Tommy Cross	Trevor Murphy	Justin Hache, Tommy Cross

Tirs de Pénalité
Jonathan Marchessault, Adam Cracknell, Oliver Bjorkstrand, Bryan Rust, Mike Blunden

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

#	VS Équipe	GP	W	L	OTL	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	Wolf Pack	1	0	0	1	2	3	-1	1	0.500	2	4	6	7	5	4	30	53	40	40	1	41	18	37	22	4	1	25.00%	1	0	100.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
2	Bulldogs	1	1	0	0	11	5	6	2	1.000	11	18	29	7	5	4	40	53	40	40	1	31	14	28	25	0	0	0.00%	4	1	75.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
3	Monsters	1	0	1	0	2	11	-9	0	0.000	2	4	6	7	5	4	33	53	40	40	1	38	13	84	27	3	1	33.33%	2	0	100.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
4	Sharks	1	0	1	0	1	8	-7	0	0.000	1	2	3	7	5	4	31	53	40	40	1	26	5	11	20	3	0	0.00%	3	1	66.67%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
	Vs Division	1	0	0	1	2	3	-1	1	0.500	2	4	6	7	5	4	30	53	40	40	1	41	18	37	22	4	1	25.00%	1	0	100.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
	Vs Conference	2	1	0	1	13	8	5	3	0.750	13	22	35	7	5	4	70	53	40	40	1	72	32	65	47	4	1	25.00%	5	1	80.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
	Since Last GM Reset	4	1	2	1	16	27	-11	3	0.375	16	28	44	7	5	4	134	53	40	40	1	136	50	160	94	10	2	20.00%	10	2	80.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
	Total	4	1	2	1	16	27	-11	3	0.375	16	28	44	7	5	4	134	53	40	40	1	136	50	160	94	10	2	20.00%	10	2	80.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32

			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
4	3	W1	16	28	44	134	136	50	160	94	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	0	1	0	0	16	27

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	12	13

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	0	1	0	0	4	14

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	2	0	1	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
10	2	20.00%	10	2	80.00%	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
53	40	40	1	7	5	4	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
45	71	63.38%	39	77	50.65%	36	73	49.32%

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
96	63	80	30	65	32

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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Sun, Nov 24	@	Bruins2,Wolf Pack3 (OT)	RECAP
Mon, Nov 25	@	Bruins2,Monsters11	RECAP
Thu, Nov 28	@	Sharks8,Bruins1	RECAP
Fri, Nov 29	@	Bulldogs5,Bruins11	RECAP

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
0	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,590,000$	800,000$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour
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