Stanley Cup Winners Hockey League

NEW YORK Rangers
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Stats d'équipe en Carrière
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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	Nick Cousins	0	X				100.00	72	41	70	68	69	82	94	67	77	70	64	60	66	60	53	63	99	69	0
2	Jujhar Khaira	0		X			100.00	79	50	68	67	89	80	73	66	71	70	62	68	64	56	52	65	99	69	0
3	Joey Anderson (R)	0			X		100.00	65	35	75	64	70	72	67	63	64	61	61	65	62	51	50	66	99	63	0
4	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
5	Morgan Klimchuk	0		X			100.00	50	89	65	65	71	50	50	65	50	59	59	50	59	50	50	78	99	57	0
6	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
7	Scott Harrington	0				X	100.00	67	41	73	66	82	73	86	65	30	65	58	71	67	56	52	67	99	68	0
8	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
9	Matt Roy (R)	0				X	100.00	60	35	73	69	77	61	62	68	30	56	53	60	65	51	50	48	99	61	0
10	Andrei Mironov (R)	0				X	100.00	59	43	76	53	76	53	53	60	30	46	40	73	59	50	50	60	99	56	0
11	Ethan Bear	0				X	100.00	52	89	65	70	74	50	50	70	30	50	45	54	55	51	50	59	99	56	0
12	Brandon Gormley	0				X	100.00	53	35	72	64	74	46	43	47	30	32	29	59	48	62	52	63	98	50	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	61	51	71	65	76	62	62	64	47	58	54	61	61	54	51	65	99	61

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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	77	65	94	83	76	75	77	76	75	76	71	54	66	34	99	67	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	77	65	94	83	76	75	77	76	75	76	71	54	66	34	99	67

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Pavel Bure	60	60	60	60	66	66	76	RUS	49	2	150,000$

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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	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
1	Brandon Gormley	BROOKLYN Wolfpack (NYR)	D	2	0	0	0	-7	0	0	1	2	1	0	0	0.00%	10	33	16.73	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				2	0	0	0	-7	0	0	1	2	1	0	0	0.00%	10	33	16.73	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	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 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
Stats d'équipe Total ou en Moyenne							0.000	0.00	0								0.000

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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	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	Link
Adam Musil	BROOKLYN Wolfpack (NYR)	C	22	1997-03-26	No	92 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$	750,000$		Lien
Andrei Mironov	BROOKLYN Wolfpack (NYR)	D	25	1994-07-29	Yes	88 Kg	191 CM	No	No	No	1	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No				Lien
Andrew Hammond	BROOKLYN Wolfpack (NYR)	G	31	1988-02-11	No	98 Kg	188 CM	No	No	No	4	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$	750,000$	750,000$	Lien
Brandon Gormley	BROOKLYN Wolfpack (NYR)	D	27	1992-02-18	No	89 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No
Ethan Bear	BROOKLYN Wolfpack (NYR)	D	22	1997-06-26	No	95 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No				Lien
Joey Anderson	BROOKLYN Wolfpack (NYR)	RW	21	1998-06-19	Yes	86 Kg	180 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien
Jujhar Khaira	BROOKLYN Wolfpack (NYR)	LW	25	1994-08-13	No	96 Kg	193 CM	No	No	No	4	Pro & Farm	1,200,000$	1,178,378$	1,200,000$	1,178,378$	0$	0$	No	1,200,000$	1,200,000$	1,200,000$	Lien
Julius Honka	BROOKLYN Wolfpack (NYR)	D	23	1995-12-03	No	82 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No				Lien
Kerby Rychel	BROOKLYN Wolfpack (NYR)	LW	24	1994-10-07	No	97 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$	750,000$		Lien
Matt Roy	BROOKLYN Wolfpack (NYR)	D	24	1995-03-01	Yes	91 Kg	185 CM	No	No	No	2	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$			Lien
Morgan Klimchuk	BROOKLYN Wolfpack (NYR)	LW	24	1995-03-02	No	84 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$	750,000$		Lien
Nick Cousins	BROOKLYN Wolfpack (NYR)	C	26	1993-07-20	No	84 Kg	180 CM	No	No	No	2	Pro & Farm	950,000$	932,882$	950,000$	932,882$	0$	0$	No	950,000$			Lien
Scott Harrington	BROOKLYN Wolfpack (NYR)	D	26	1993-03-10	No	94 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	736,486$	750,000$	736,486$	0$	0$	No	750,000$	750,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
13	24.62	90 Kg	185 CM	2.31	800,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				31	1	2	2
2				26	1	2	2
3				23	1	2	2
4				20	1	2	2

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

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

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

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

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

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

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2		Brandon Gormley	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
, ,	,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , Brandon Gormley,

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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	COLORADO Eagles	2	0	2	0	0	0	0	0	0	22	-22	1	0	1	0	0	0	0	0	0	11	-11	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	0	0	0	0	0	0	0	0	0	6	2	3	1	0	161	38	0	9	7	0	0.00%	0	0	0.00%	0	0	15	0.00%	6	69	8.70%	3	34	8.82%	8	4	95	13	16	3
	Total	2	0	2	0	0	0	0	0	0	22	-22	1	0	1	0	0	0	0	0	0	11	-11	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	0	0	0	0	0	0	0	0	0	6	2	3	1	0	161	38	0	9	7	0	0.00%	0	0	0.00%	0	0	15	0.00%	6	69	8.70%	3	34	8.82%	8	4	95	13	16	3
	_Since Last GM Reset	2	0	2	0	0	0	0	0	0	22	-22	1	0	1	0	0	0	0	0	0	11	-11	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	0	0	0	0	0	0	0	0	0	6	2	3	1	0	161	38	0	9	7	0	0.00%	0	0	0.00%	0	0	15	0.00%	6	69	8.70%	3	34	8.82%	8	4	95	13	16	3
	_Vs Conference	2	0	2	0	0	0	0	0	0	22	-22	1	0	1	0	0	0	0	0	0	11	-11	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	0	0	0	0	0	0	0	0	0	6	2	3	1	0	161	38	0	9	7	0	0.00%	0	0	0.00%	0	0	15	0.00%	6	69	8.70%	3	34	8.82%	8	4	95	13	16	3

			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	0	L2	0	0	0	6	161	38	0	9	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	0	22

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	0	11

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	0	11

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	2	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
7	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
2	3	1	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	15	0.00%	6	69	8.70%	3	34	8.82%

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
8	4	95	13	16	3

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 - 2020-01-15	5	BROOKLYN Wolfpack	0	COLORADO Eagles	11	L	Sommaire du Match
2 - 2020-01-16	18	COLORADO Eagles	11	BROOKLYN Wolfpack	0	L	Sommaire du Match
3 - 2020-01-17	31	SAN DIEGO Gulls	-	BROOKLYN Wolfpack	-
4 - 2020-01-18	45	BROOKLYN Wolfpack	-	MONT-LAURIER Sommet	-
5 - 2020-01-19	56	Binghampton Devils	-	BROOKLYN Wolfpack	-
7 - 2020-01-21	71	BROOKLYN Wolfpack	-	ROCKFORD IceHogs	-
9 - 2020-01-23	89	ROCKFORD IceHogs	-	BROOKLYN Wolfpack	-
11 - 2020-01-25	93	BROOKLYN Wolfpack	-	MILWAUKEE Admirals	-
13 - 2020-01-27	111	BROOKLYN Wolfpack	-	MONT-LAURIER Sommet	-
15 - 2020-01-29	118	PROVIDENCE Bruins	-	BROOKLYN Wolfpack	-
17 - 2020-01-31	139	BROOKLYN Wolfpack	-	TUSCON Roadrunners	-
18 - 2020-02-01	144	BROOKLYN Wolfpack	-	BRIDGEPORT Sound Tigers	-
20 - 2020-02-03	154	TUSCON Roadrunners	-	BROOKLYN Wolfpack	-
22 - 2020-02-05	176	LAVAL Rockets	-	BROOKLYN Wolfpack	-
24 - 2020-02-07	190	COLORADO Eagles	-	BROOKLYN Wolfpack	-
25 - 2020-02-08	202	BROOKLYN Wolfpack	-	HERSEY Bears	-
26 - 2020-02-09	216	BROOKLYN Wolfpack	-	Manitoba Moose	-
27 - 2020-02-10	228	MONT-LAURIER Sommet	-	BROOKLYN Wolfpack	-
28 - 2020-02-11	242	BROOKLYN Wolfpack	-	IOWA Wild	-
29 - 2020-02-12	254	CHICAGO Wolves	-	BROOKLYN Wolfpack	-
31 - 2020-02-14	268	BROOKLYN Wolfpack	-	HERSEY Bears	-
32 - 2020-02-15	280	CORNWALL Aces	-	BROOKLYN Wolfpack	-
33 - 2020-02-16	293	BROOKLYN Wolfpack	-	UTICA Comets	-
35 - 2020-02-18	305	HERSEY Bears	-	BROOKLYN Wolfpack	-
36 - 2020-02-19	319	BROOKLYN Wolfpack	-	COLORADO Eagles	-
37 - 2020-02-20	330	COLORADO Eagles	-	BROOKLYN Wolfpack	-
38 - 2020-02-21	345	BROOKLYN Wolfpack	-	COLORADO Eagles	-
40 - 2020-02-23	358	Manitoba Moose	-	BROOKLYN Wolfpack	-
41 - 2020-02-24	372	LAVAL Rockets	-	BROOKLYN Wolfpack	-
44 - 2020-02-27	394	BROOKLYN Wolfpack	-	ROCKFORD IceHogs	-
45 - 2020-02-28	407	HERSEY Bears	-	BROOKLYN Wolfpack	-
46 - 2020-02-29	423	WILKIES-BARRIE Penguins	-	BROOKLYN Wolfpack	-
47 - 2020-03-01	434	BROOKLYN Wolfpack	-	Marlies de Toronto	-
48 - 2020-03-02	446	TUSCON Roadrunners	-	BROOKLYN Wolfpack	-
49 - 2020-03-03	459	BROOKLYN Wolfpack	-	MONT-LAURIER Sommet	-
51 - 2020-03-05	472	Marlies de Toronto	-	BROOKLYN Wolfpack	-
52 - 2020-03-06	485	BROOKLYN Wolfpack	-	Marlies de Toronto	-
54 - 2020-03-08	499	PV Sharapovas	-	BROOKLYN Wolfpack	-
56 - 2020-03-10	513	BROOKLYN Wolfpack	-	TUSCON Roadrunners	-
57 - 2020-03-11	523	BROOKLYN Wolfpack	-	Syracruse Crunch	-
58 - 2020-03-12	533	MILWAUKEE Admirals	-	BROOKLYN Wolfpack	-
59 - 2020-03-13	550	BROOKLYN Wolfpack	-	VICTORIAVILLE Tigres	-
60 - 2020-03-14	559	HOLLYWOOD Oscar	-	BROOKLYN Wolfpack	-
62 - 2020-03-16	578	ROCKFORD IceHogs	-	BROOKLYN Wolfpack	-
63 - 2020-03-17	593	BROOKLYN Wolfpack	-	LAVAL Rockets	-
64 - 2020-03-18	602	BRIDGEPORT Sound Tigers	-	BROOKLYN Wolfpack	-
65 - 2020-03-19	617	BROOKLYN Wolfpack	-	MILWAUKEE Admirals	-
66 - 2020-03-20	628	VICTORIAVILLE Tigres	-	BROOKLYN Wolfpack	-
68 - 2020-03-22	647	BELLEVILLE Senators	-	BROOKLYN Wolfpack	-
69 - 2020-03-23	662	BROOKLYN Wolfpack	-	PROVIDENCE Bruins	-
70 - 2020-03-24	668	BROOKLYN Wolfpack	-	BELLEVILLE Senators	-
71 - 2020-03-25	681	Marlies de Toronto	-	BROOKLYN Wolfpack	-
73 - 2020-03-27	699	BROOKLYN Wolfpack	-	LAVAL Rockets	-
74 - 2020-03-28	707	CHICAGO Wolves	-	BROOKLYN Wolfpack	-
75 - 2020-03-29	725	BROOKLYN Wolfpack	-	Binghampton Devils	-
76 - 2020-03-30	733	IOWA Wild	-	BROOKLYN Wolfpack	-
77 - 2020-03-31	744	BROOKLYN Wolfpack	-	SAN DIEGO Gulls	-
78 - 2020-04-01	759	SAN DIEGO Gulls	-	BROOKLYN Wolfpack	-
79 - 2020-04-02	769	BROOKLYN Wolfpack	-	UTICA Comets	-
80 - 2020-04-03	785	SAN DIEGO Gulls	-	BROOKLYN Wolfpack	-
82 - 2020-04-05	799	BROOKLYN Wolfpack	-	SAN DIEGO Gulls	-
83 - 2020-04-06	807	BROOKLYN Wolfpack	-	STOCKTON Flames	-
84 - 2020-04-07	819	PROVIDENCE Bruins	-	BROOKLYN Wolfpack	-
85 - 2020-04-08	837	Syracruse Crunch	-	BROOKLYN Wolfpack	-
87 - 2020-04-10	850	BROOKLYN Wolfpack	-	LEHIGH VALLEY Phantoms	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11	863	Binghampton Devils	-	BROOKLYN Wolfpack	-
89 - 2020-04-12	877	BROOKLYN Wolfpack	-	PROVIDENCE Bruins	-
90 - 2020-04-13	888	LEHIGH VALLEY Phantoms	-	BROOKLYN Wolfpack	-
91 - 2020-04-14	895	BROOKLYN Wolfpack	-	WILKIES-BARRIE Penguins	-
92 - 2020-04-15	907	BROOKLYN Wolfpack	-	HOLLYWOOD Oscar	-
93 - 2020-04-16	924	UTICA Comets	-	BROOKLYN Wolfpack	-
94 - 2020-04-17	935	BROOKLYN Wolfpack	-	CHICAGO Wolves	-
96 - 2020-04-19	947	MILWAUKEE Admirals	-	BROOKLYN Wolfpack	-
97 - 2020-04-20	966	Binghampton Devils	-	BROOKLYN Wolfpack	-
98 - 2020-04-21	974	BROOKLYN Wolfpack	-	CORNWALL Aces	-
99 - 2020-04-22	988	BROOKLYN Wolfpack	-	CHICAGO Wolves	-
100 - 2020-04-23	996	BROOKLYN Wolfpack	-	PV Sharapovas	-
102 - 2020-04-25	1008	BRIDGEPORT Sound Tigers	-	BROOKLYN Wolfpack	-
104 - 2020-04-27	1021	BROOKLYN Wolfpack	-	PV Sharapovas	-
105 - 2020-04-28	1031	BROOKLYN Wolfpack	-	BRIDGEPORT Sound Tigers	-
106 - 2020-04-29	1037	UTICA Comets	-	BROOKLYN Wolfpack	-
109 - 2020-05-02	1059	STOCKTON Flames	-	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
40	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
21,442$	1,040,000$	1,040,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	18,738$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	109	10,721$	1,168,589$

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
33	2	0	2	0	0	0	0	0	0	22	-22	1	0	1	0	0	0	0	0	0	11	-11	1	0	1	0	0	0	0	0	0	11	-11	0	0	0	0	0	0	0	0	0	0	6	2	3	1	0	161	38	0	9	7	0	0.00%	0	0	0.00%	0	0	15	0.00%	6	69	8.70%	3	34	8.82%	8	4	95	13	16	3
Total Saison Régulière	2	0	2	0	0	0	0	0	0	22	-22	1	0	1	0	0	0	0	0	0	11	-11	1	0	1	0	0	0	0	0	0	11	-11	0	0	0	0	0	0	0	0	0	0	6	2	3	1	0	161	38	0	9	7	0	0.00%	0	0	0.00%	0	0	15	0.00%	6	69	8.70%	3	34	8.82%	8	4	95	13	16	3