Stanley Cup Winners Hockey League

NEW YORK Rangers
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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	Mattias Janmark	0	X	X			100.00	53	39	87	70	76	82	85	68	64	69	61	74	71	75	68	53	99	71	0	27	4	1,800,000$
2	Nick Cousins	0	X				100.00	80	39	80	68	69	74	87	66	75	70	62	68	69	73	67	56	99	71	0	27	5	1,250,000$
3	Denis Gurianov	0			X		100.00	73	45	87	70	83	78	77	69	54	62	73	59	72	65	67	84	99	71	0	23	1	1,500,000$
4	Jujhar Khaira	0		X			100.00	86	58	74	64	89	73	82	62	59	63	58	69	62	71	67	64	99	70	0	26	2	1,200,000$
5	Morgan Klimchuk	0		X			100.00	57	45	86	60	71	82	80	59	52	55	58	56	60	68	65	76	99	64	0	25	1	750,000$
6	Joey Anderson	0			X		100.00	59	39	81	62	70	74	73	61	57	60	59	63	61	63	62	66	99	64	0	22	4	750,000$
7	Kerby Rychel	0		X			100.00	56	35	67	70	80	50	51	70	50	66	66	50	66	52	51	80	99	61	0	25	1	750,000$
8	Adam Musil	0	X				100.00	57	89	68	59	84	50	50	59	70	54	54	50	54	50	50	44	99	56	0	23	1	750,000$
9	Scott Harrington	0				X	100.00	73	45	84	63	81	74	80	62	30	73	55	69	50	73	67	57	99	70	0	27	1	750,000$
10	Ethan Bear	0				X	100.00	62	41	84	66	72	88	75	64	30	71	59	74	52	65	64	58	99	70	0	23	1	1,500,000$
11	Julius Honka	0				X	100.00	62	35	75	63	68	74	64	63	30	62	55	67	64	53	51	82	99	63	0	24	1	750,000$
Rayé

	MOYENNE D'ÉQUIPE					100.00	65	46	79	65	77	73	73	64	52	64	60	64	62	64	62	65	99	66

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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	Andrew Hammond	100.00	73	82	80	85	72	71	73	72	71	73	72	80	86	53	99	68	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	73	82	80	85	72	71	73	72	71	73	72	80	86	53	99	68

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Pavel Bure	62	62	62	62	66	66	72	RUS	50	2	300,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	FO%	FOT	GA	TA	HT	P/20	S1	S2	S3
1	Denis Gurianov	BROOKLYN Wolfpack (NYR)	RW	2	6	4	10	7	0	6	4	33	10	18	18.18%	0	49	24.92	0	3	3	1	6	0	1	70.00%	30	1	1	1	4.01	2	0	0
2	Ethan Bear	BROOKLYN Wolfpack (NYR)	D	2	1	7	8	8	0	1	7	11	8	6	9.09%	4	54	27.05	1	2	3	2	6	0	0	0.00%	0	0	0	0	2.96	0	1	1
3	Scott Harrington	BROOKLYN Wolfpack (NYR)	D	2	3	3	6	8	0	3	1	13	5	3	23.08%	1	51	25.72	2	0	2	5	7	0	0	0.00%	0	0	1	0	2.33	0	1	1
4	Jujhar Khaira	BROOKLYN Wolfpack (NYR)	LW	2	1	3	4	1	2	5	3	15	3	7	6.67%	2	46	23.48	0	1	1	1	3	0	0	100.00%	2	0	0	0	1.70	0	0	0
5	Adam Musil	BROOKLYN Wolfpack (NYR)	C	2	2	1	3	1	0	1	3	12	1	8	16.67%	0	35	17.87	0	1	1	2	3	0	0	88.89%	27	1	0	0	1.68	0	0	0
6	Kerby Rychel	BROOKLYN Wolfpack (NYR)	LW	2	1	2	3	2	0	1	2	11	11	6	9.09%	1	29	14.83	0	0	0	0	1	0	0	42.86%	7	1	0	0	2.02	0	0	0
7	Julius Honka	BROOKLYN Wolfpack (NYR)	D	2	1	1	2	1	2	2	4	11	4	4	9.09%	5	50	25.09	1	0	1	7	5	0	1	0.00%	0	1	0	0	0.80	0	0	0
8	Morgan Klimchuk	BROOKLYN Wolfpack (NYR)	LW	2	1	0	1	1	0	1	2	10	3	5	10.00%	2	43	21.73	0	0	0	3	5	0	0	0.00%	0	1	0	0	0.46	0	0	0
Stats d'équipe Total ou en Moyenne				16	16	21	37	29	4	20	26	116	45	57	13.79%	15	361	22.59	4	7	11	21	40	3	2	75.76%	66	5	2	1	2.05	2	2	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	Andrew Hammond	BROOKLYN Wolfpack (NYR)	2	2	0	0	0.937	2.00	120	0	1	4	64	23	0	0	0.000	0	2	0	0	0	0
Stats d'équipe Total ou en Moyenne			2	2	0	0	0.937	2.00	120	0	1	4	64	23	0	0	0.000	0	2	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	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	Link
Adam Musil	BROOKLYN Wolfpack (NYR)	C	23	3/26/1997	No	92 Kg	191 CM	No	No	No	1	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No					Lien
Andrew Hammond	BROOKLYN Wolfpack (NYR)	G	32	2/11/1988	No	101 Kg	188 CM	No	No	No	2	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$				Lien
Denis Gurianov	BROOKLYN Wolfpack (NYR)	RW	23	6/7/1997	No	91 Kg	191 CM	No	No	No	1	Pro & Farm	1,500,000$	1,474,576$	1,500,000$	1,474,576$	0$	0$	No					Lien
Ethan Bear	BROOKLYN Wolfpack (NYR)	D	23	6/26/1997	No	90 Kg	180 CM	No	No	No	1	Pro & Farm	1,500,000$	1,474,576$	1,500,000$	1,474,576$	0$	0$	No					Lien
Joey Anderson	BROOKLYN Wolfpack (NYR)	RW	22	6/19/1998	No	86 Kg	180 CM	No	No	No	4	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No	750,000$	750,000$	750,000$		Lien
Jujhar Khaira	BROOKLYN Wolfpack (NYR)	LW	26	8/13/1994	No	96 Kg	193 CM	No	No	No	2	Pro & Farm	1,200,000$	1,179,661$	1,200,000$	1,179,661$	0$	0$	No	1,200,000$				Lien
Julius Honka	BROOKLYN Wolfpack (NYR)	D	24	12/3/1995	No	82 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No					Lien
Kerby Rychel	BROOKLYN Wolfpack (NYR)	LW	25	10/7/1994	No	97 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No					Lien
Mattias Janmark	BROOKLYN Wolfpack (NYR)	C/LW	27	12/8/1992	No	89 Kg	185 CM	No	No	No	4	Pro & Farm	1,800,000$	1,769,492$	750,000$	737,288$	0$	0$	No	1,800,000$	1,800,000$	1,800,000$		Lien
Morgan Klimchuk	BROOKLYN Wolfpack (NYR)	LW	25	3/2/1995	No	84 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No					Lien
Nick Cousins	BROOKLYN Wolfpack (NYR)	C	27	7/20/1993	No	83 Kg	180 CM	No	No	No	5	Pro & Farm	1,250,000$	1,228,814$	750,000$	737,288$	0$	0$	No	1,250,000$	1,250,000$	1,250,000$	1,250,000$	Lien
Scott Harrington	BROOKLYN Wolfpack (NYR)	D	27	3/10/1993	No	93 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	737,288$	750,000$	737,288$	0$	0$	No					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
12	25.33	90 Kg	185 CM	2.00	1,041,667$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1			Denis Gurianov	31	1	2	2
2	Jujhar Khaira	Adam Musil		26	1	2	2
3	Morgan Klimchuk	Denis Gurianov		23	1	2	2
4	Kerby Rychel		Jujhar Khaira	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ethan Bear	Scott Harrington	31	1	2	2
2	Julius Honka	Morgan Klimchuk	26	1	2	2
3	Ethan Bear	Scott Harrington	23	1	2	2
4	Julius Honka		20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1			Denis Gurianov	55	1	2	2
2	Jujhar Khaira	Adam Musil		45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ethan Bear	Scott Harrington	55	1	2	2
2	Julius Honka	Morgan Klimchuk	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Denis Gurianov		55	1	2	2
2		Jujhar Khaira	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ethan Bear	Scott Harrington	55	1	2	2
2	Julius Honka		45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Denis Gurianov	55	1	2	2	Ethan Bear	Scott Harrington	55	1	2	2
2		45	1	2	2	Julius Honka		45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Denis Gurianov		55	1	2	2
2		Jujhar Khaira	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ethan Bear	Scott Harrington	55	1	2	2
2	Julius Honka		45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
		Denis Gurianov	Ethan Bear	Scott Harrington

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
		Denis Gurianov	Ethan Bear	Scott Harrington

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kerby Rychel, Adam Musil,	Kerby Rychel, Adam Musil

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ethan Bear, Scott Harrington, Julius Honka	Ethan Bear	Scott Harrington, Julius Honka

Tirs de Pénalité
Denis Gurianov, , , Jujhar Khaira,

Gardien
#1 : Andrew Hammond, #2 :

Lignes d'Attaque Perso. en Prol.
Denis Gurianov, , , Jujhar Khaira, , Morgan Klimchuk, Morgan Klimchuk, Kerby Rychel, Adam Musil, ,

Lignes de Défense Perso. en Prol.
Ethan Bear, Scott Harrington, Julius Honka, ,

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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

	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	TUSCON Roadrunners	1	1	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	10	0	10	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	18	28	0	1	8	7	2	0	69	47	50	33	0	23	5	2	12	4	1	25.00%	1	0	100.00%	0	25	49	51.02%	24	42	57.14%	21	39	53.85%	56	45	38	13	24	11
	Total	2	2	0	0	0	0	0	0	17	4	13	1	1	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	7	4	3	4	1.000	17	30	47	0	1	8	7	2	0	130	47	50	33	0	64	21	6	26	8	4	50.00%	3	2	33.33%	0	25	49	51.02%	24	42	57.14%	21	39	53.85%	56	45	38	13	24	11
2	UTICA Comets	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	4	3	2	1.000	7	12	19	0	0	8	7	2	0	61	47	50	33	0	41	16	4	14	4	3	75.00%	2	2	0.00%	0	25	49	51.02%	24	42	57.14%	21	39	53.85%	56	45	38	13	24	11
	_Since Last GM Reset	2	2	0	0	0	0	0	0	17	4	13	1	1	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	7	4	3	4	1.000	17	30	47	0	1	8	7	2	0	130	47	50	33	0	64	21	6	26	8	4	50.00%	3	2	33.33%	0	25	49	51.02%	24	42	57.14%	21	39	53.85%	56	45	38	13	24	11
	_Vs Conference	2	2	0	0	0	0	0	0	17	4	13	1	1	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	7	4	3	4	1.000	17	30	47	0	1	8	7	2	0	130	47	50	33	0	64	21	6	26	8	4	50.00%	3	2	33.33%	0	25	49	51.02%	24	42	57.14%	21	39	53.85%	56	45	38	13	24	11
	_Vs Division	2	2	0	0	0	0	0	0	17	4	13	1	1	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	7	4	3	4	1.000	17	30	47	0	1	8	7	2	0	130	47	50	33	0	64	21	6	26	8	4	50.00%	3	2	33.33%	0	25	49	51.02%	24	42	57.14%	21	39	53.85%	56	45	38	13	24	11

			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
2	4	W2	17	30	47	130	64	21	6	26	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	17	4

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	10	0

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	7	4

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	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
8	4	50.00%	3	2	33.33%	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
47	50	33	0	8	7	2	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
25	49	51.02%	24	42	57.14%	21	39	53.85%

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
56	45	38	13	24	11

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 - 2021-01-17	10	BROOKLYN Wolfpack	7	UTICA Comets	4	W	Sommaire du Match
2 - 2021-01-18	17	TUSCON Roadrunners	0	BROOKLYN Wolfpack	10	W	Sommaire du Match
3 - 2021-01-19	28	BROOKLYN Wolfpack	-	PROVIDENCE Bruins	-
5 - 2021-01-21	43	BROOKLYN Wolfpack	-	SYRACUSE Crunch	-
6 - 2021-01-22	50	HERSEY Bears	-	BROOKLYN Wolfpack	-
7 - 2021-01-23	66	BROOKLYN Wolfpack	-	CAROLINA Checkers	-
8 - 2021-01-24	75	TORONTO Marlies	-	BROOKLYN Wolfpack	-
11 - 2021-01-27	94	UTICA Comets	-	BROOKLYN Wolfpack	-
12 - 2021-01-28	100	BROOKLYN Wolfpack	-	GRAND RAPIDS Griffins	-
14 - 2021-01-30	121	TORONTO Marlies	-	BROOKLYN Wolfpack	-
16 - 2021-02-01	138	PROVIDENCE Bruins	-	BROOKLYN Wolfpack	-
17 - 2021-02-02	144	BROOKLYN Wolfpack	-	TUSCON Roadrunners	-
19 - 2021-02-04	160	BROOKLYN Wolfpack	-	BRIDGEPORT Sound Tigers	-
20 - 2021-02-05	171	BRIDGEPORT Sound Tigers	-	BROOKLYN Wolfpack	-
21 - 2021-02-06	188	HERSEY Bears	-	BROOKLYN Wolfpack	-
23 - 2021-02-08	199	BROOKLYN Wolfpack	-	SAN DIEGO Gulls	-
24 - 2021-02-09	212	BROOKLYN Wolfpack	-	SAN ANTONIO Rampage	-
26 - 2021-02-11	223	TORONTO Marlies	-	BROOKLYN Wolfpack	-
27 - 2021-02-12	238	BROOKLYN Wolfpack	-	ROCKFORD IceHogs	-
28 - 2021-02-13	247	BROOKLYN Wolfpack	-	BRIDGEPORT Sound Tigers	-
30 - 2021-02-15	259	STOCKTON Flames	-	BROOKLYN Wolfpack	-
31 - 2021-02-16	274	GRAND RAPIDS Griffins	-	BROOKLYN Wolfpack	-
32 - 2021-02-17	290	SYRACUSE Crunch	-	BROOKLYN Wolfpack	-
34 - 2021-02-19	304	BROOKLYN Wolfpack	-	UTICA Comets	-
35 - 2021-02-20	310	BROOKLYN Wolfpack	-	IOWA Wild	-
37 - 2021-02-22	325	BROOKLYN Wolfpack	-	STOCKTON Flames	-
38 - 2021-02-23	339	LAVAL Rocket	-	BROOKLYN Wolfpack	-
40 - 2021-02-25	354	BROOKLYN Wolfpack	-	LAVAL Rocket	-
41 - 2021-02-26	363	LAVAL Rocket	-	BROOKLYN Wolfpack	-
42 - 2021-02-27	377	BROOKLYN Wolfpack	-	SYRACUSE Crunch	-
44 - 2021-03-01	388	CAROLINA Checkers	-	BROOKLYN Wolfpack	-
45 - 2021-03-02	402	BROOKLYN Wolfpack	-	TORONTO Marlies	-
47 - 2021-03-04	414	SAN DIEGO Gulls	-	BROOKLYN Wolfpack	-
48 - 2021-03-05	431	LEHIGH VALLEY Phantoms	-	BROOKLYN Wolfpack	-
50 - 2021-03-07	446	BROOKLYN Wolfpack	-	MILWAUKEE Admirals	-
51 - 2021-03-08	456	BROOKLYN Wolfpack	-	TUSCON Roadrunners	-
52 - 2021-03-09	468	COLORADO Eagles	-	BROOKLYN Wolfpack	-
54 - 2021-03-11	481	BRIDGEPORT Sound Tigers	-	BROOKLYN Wolfpack	-
55 - 2021-03-12	495	BROOKLYN Wolfpack	-	LEHIGH VALLEY Phantoms	-
56 - 2021-03-13	510	TUSCON Roadrunners	-	BROOKLYN Wolfpack	-
58 - 2021-03-15	524	BROOKLYN Wolfpack	-	TORONTO Marlies	-
59 - 2021-03-16	535	SAN ANTONIO Rampage	-	BROOKLYN Wolfpack	-
61 - 2021-03-18	551	IOWA Wild	-	BROOKLYN Wolfpack	-
62 - 2021-03-19	563	BROOKLYN Wolfpack	-	SYRACUSE Crunch	-
64 - 2021-03-21	577	PROVIDENCE Bruins	-	BROOKLYN Wolfpack	-
65 - 2021-03-22	586	BROOKLYN Wolfpack	-	CAROLINA Checkers	-
66 - 2021-03-23	599	BROOKLYN Wolfpack	-	COLORADO Eagles	-
68 - 2021-03-25	615	SAN ANTONIO Rampage	-	BROOKLYN Wolfpack	-
69 - 2021-03-26	629	BINGHAMTON Devils	-	BROOKLYN Wolfpack	-
70 - 2021-03-27	637	BROOKLYN Wolfpack	-	COLORADO Eagles	-
73 - 2021-03-30	656	BELLEVILLE Senators	-	BROOKLYN Wolfpack	-
74 - 2021-03-31	667	BROOKLYN Wolfpack	-	BELLEVILLE Senators	-
76 - 2021-04-02	681	BROOKLYN Wolfpack	-	GRAND RAPIDS Griffins	-
77 - 2021-04-03	693	SCRANTON Penguins	-	BROOKLYN Wolfpack	-
78 - 2021-04-04	703	BROOKLYN Wolfpack	-	BAKERSFIELD Condors	-
80 - 2021-04-06	718	ROCKFORD IceHogs	-	BROOKLYN Wolfpack	-
81 - 2021-04-07	734	HERSEY Bears	-	BROOKLYN Wolfpack	-
82 - 2021-04-08	737	BROOKLYN Wolfpack	-	ONTARIO Reign	-
84 - 2021-04-10	757	BROOKLYN Wolfpack	-	SAN DIEGO Gulls	-
86 - 2021-04-12	770	BINGHAMTON Devils	-	BROOKLYN Wolfpack	-
87 - 2021-04-13	779	BROOKLYN Wolfpack	-	MANITOBA Moose	-
88 - 2021-04-14	795	TUSCON Roadrunners	-	BROOKLYN Wolfpack	-
90 - 2021-04-16	806	BROOKLYN Wolfpack	-	SCRANTON Penguins	-
92 - 2021-04-18	821	CHICAGO Wolves	-	BROOKLYN Wolfpack	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19	824	BROOKLYN Wolfpack	-	HERSEY Bears	-
94 - 2021-04-20	845	BROOKLYN Wolfpack	-	HERSEY Bears	-
95 - 2021-04-21	854	ONTARIO Reign	-	BROOKLYN Wolfpack	-
97 - 2021-04-23	874	MILWAUKEE Admirals	-	BROOKLYN Wolfpack	-
98 - 2021-04-24	882	BROOKLYN Wolfpack	-	BINGHAMTON Devils	-
100 - 2021-04-26	901	BAKERSFIELD Condors	-	BROOKLYN Wolfpack	-
101 - 2021-04-27	911	BROOKLYN Wolfpack	-	CHICAGO Wolves	-
102 - 2021-04-28	921	BROOKLYN Wolfpack	-	PROVIDENCE Bruins	-
104 - 2021-04-30	934	ROCKFORD IceHogs	-	BROOKLYN Wolfpack	-
106 - 2021-05-02	951	MILWAUKEE Admirals	-	BROOKLYN Wolfpack	-
107 - 2021-05-03	956	BROOKLYN Wolfpack	-	UTICA Comets	-
109 - 2021-05-05	978	UTICA Comets	-	BROOKLYN Wolfpack	-
111 - 2021-05-07	990	BROOKLYN Wolfpack	-	PROVIDENCE Bruins	-
113 - 2021-05-09	1008	UTICA Comets	-	BROOKLYN Wolfpack	-
114 - 2021-05-10	1021	BROOKLYN Wolfpack	-	GRAND RAPIDS Griffins	-
116 - 2021-05-12	1035	MANITOBA Moose	-	BROOKLYN Wolfpack	-

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
39	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
20,127$	1,250,000$	1,095,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	20,127$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	116	10,593$	1,228,788$

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
34	80	33	30	0	6	5	3	3	240	219	21	40	16	16	0	1	3	2	2	116	111	5	40	17	14	0	5	2	1	1	124	108	16	92	240	414	654	2	4	93	83	55	12	2228	747	738	707	60	2237	679	361	1090	283	41	14.49%	154	28	81.82%	0	1300	2389	54.42%	1227	2460	49.88%	684	1225	55.84%	1994	1422	1849	552	1002	516
34	80	33	30	0	6	5	3	3	240	219	21	40	16	16	0	1	3	2	2	116	111	5	40	17	14	0	5	2	1	1	124	108	16	92	240	414	654	2	4	93	83	55	12	2228	747	738	707	60	2237	679	361	1090	283	41	14.49%	154	28	81.82%	0	1300	2389	54.42%	1227	2460	49.88%	684	1225	55.84%	1994	1422	1849	552	1002	516
36	2	2	0	0	0	0	0	0	17	4	13	1	1	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	7	4	3	4	17	30	47	0	1	8	7	2	0	130	47	50	33	0	64	21	6	26	8	4	50.00%	3	2	33.33%	0	25	49	51.02%	24	42	57.14%	21	39	53.85%	56	45	38	13	24	11
Total Saison Régulière	162	68	60	0	12	10	6	6	497	442	55	81	33	32	0	2	6	4	4	242	222	20	81	35	28	0	10	4	2	2	255	220	35	188	497	858	1355	4	9	194	173	112	24	4586	1541	1526	1447	120	4538	1379	728	2206	574	86	14.98%	311	58	81.35%	0	2625	4827	54.38%	2478	4962	49.94%	1389	2489	55.81%	4046	2890	3736	1119	2030	1044
Séries
34	7	3	4	0	0	0	0	0	11	17	-6	3	2	1	0	0	0	0	0	5	4	1	4	1	3	0	0	0	0	0	6	13	-7	6	11	21	32	0	0	5	2	2	2	144	54	36	39	15	222	56	36	97	24	2	8.33%	17	3	82.35%	0	91	186	48.92%	101	248	40.73%	52	121	42.98%	157	105	197	56	92	44
Total Séries	7	3	4	0	0	0	0	0	11	17	-6	3	2	1	0	0	0	0	0	5	4	1	4	1	3	0	0	0	0	0	6	13	-7	6	11	21	32	0	0	5	2	2	2	144	54	36	39	15	222	56	36	97	24	2	8.33%	17	3	82.35%	0	91	186	48.92%	101	248	40.73%	52	121	42.98%	157	105	197	56	92	44