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
1	Mattias Janmark	0	X	X			100.00	53	39	87	70	76	82	85	68	64	69	61	74	71	75	68	53	98	71	0
2	Nick Cousins	0	X				100.00	80	39	80	68	69	74	87	66	75	70	62	68	69	73	67	56	98	71	0
3	Denis Gurianov	0			X		100.00	73	45	87	70	83	78	77	69	54	62	73	59	72	65	67	84	98	71	0
4	Jujhar Khaira	0		X			100.00	86	58	74	64	89	73	82	62	59	63	58	69	62	71	67	64	98	70	0
5	Morgan Klimchuk	0		X			100.00	57	45	86	60	71	82	80	59	52	55	58	56	60	68	65	76	98	64	0
6	Joey Anderson	0			X		100.00	59	39	81	62	70	74	73	61	57	60	59	63	61	63	62	66	98	64	0
7	Kerby Rychel	0		X			100.00	56	35	67	70	80	50	51	70	50	66	66	50	66	52	51	80	98	61	0
8	Adam Musil	0	X				100.00	57	89	68	59	84	50	50	59	70	54	54	50	54	50	50	44	98	56	0
9	Scott Harrington	0				X	100.00	73	45	84	63	81	74	80	62	30	73	55	69	50	73	67	57	98	70	0
10	Ethan Bear	0				X	100.00	62	41	84	66	72	88	75	64	30	71	59	74	52	65	64	58	98	70	0
11	Julius Honka	0				X	100.00	62	35	75	63	68	74	64	63	30	62	55	67	64	53	51	82	98	63	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	65	46	79	65	77	73	73	64	52	64	60	64	62	64	62	65	98	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	98	69	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	73	82	80	85	72	71	73	72	71	73	72	80	86	53	98	69

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Pavel Bure	62	62	62	62	66	66	72	RUS	49	3	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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Nick Cousins	BROOKLYN Wolfpack (NYR)	C	61	25	42	67	13	26	0	161	161	238	56	151	10.50%	29	1566	25.68	3	7	10	25	172	3	82	6	2	57.33%	1200	0	1	0.86	2	6	0	0	4	7	2
2	Ethan Bear	BROOKLYN Wolfpack (NYR)	D	61	12	49	61	2	22	0	59	98	125	37	102	9.60%	98	1689	27.69	4	7	11	67	182	1	85	1	2	34.38%	32	0	0	0.72	0	0	0	0	0	3	5
3	Mattias Janmark	BROOKLYN Wolfpack (NYR)	C/LW	61	25	35	60	10	2	0	22	149	287	70	190	8.71%	39	1592	26.10	2	9	11	39	174	2	81	5	3	57.00%	807	0	2	0.75	0	4	0	0	2	3	2
4	Denis Gurianov	BROOKLYN Wolfpack (NYR)	RW	61	31	28	59	8	22	0	83	108	231	64	172	13.42%	9	1619	26.54	2	4	6	26	169	0	87	5	3	48.11%	954	0	2	0.73	0	6	0	0	3	6	2
5	Julius Honka	BROOKLYN Wolfpack (NYR)	D	61	13	38	51	12	34	0	78	73	91	27	46	14.29%	88	1525	25.01	6	6	12	47	156	0	84	3	2	75.00%	4	0	0	0.67	0	1	0	0	2	4	4
6	Jujhar Khaira	BROOKLYN Wolfpack (NYR)	LW	61	26	22	48	5	73	5	196	81	228	55	149	11.40%	37	1482	24.30	0	6	6	26	152	3	55	5	1	58.82%	136	0	0	0.65	1	2	1	0	5	4	6
7	Scott Harrington	BROOKLYN Wolfpack (NYR)	D	61	7	32	39	4	42	0	119	69	75	37	47	9.33%	87	1544	25.33	4	4	8	34	176	0	67	0	0	22.22%	9	1	0	0.50	0	0	0	0	3	0	4
8	Kerby Rychel	BROOKLYN Wolfpack (NYR)	LW	61	14	21	35	12	4	0	36	51	123	40	105	11.38%	17	1148	18.83	1	1	2	11	71	0	29	0	1	42.42%	132	0	1	0.61	0	2	0	0	1	1	2
9	Morgan Klimchuk	BROOKLYN Wolfpack (NYR)	LW	61	12	17	29	5	16	0	25	37	77	20	54	15.58%	57	1431	23.47	4	6	10	22	171	0	7	2	0	27.27%	22	0	0	0.41	1	1	0	0	1	0	1
10	Joey Anderson	BROOKLYN Wolfpack (NYR)	RW	61	10	18	28	3	10	0	48	53	115	29	76	8.70%	46	1466	24.04	3	3	6	26	159	0	56	3	1	36.45%	107	0	0	0.38	2	2	0	0	3	0	1
11	Adam Musil	BROOKLYN Wolfpack (NYR)	C	61	7	14	21	1	27	5	25	85	54	16	38	12.96%	11	1212	19.88	2	5	7	6	149	0	17	0	1	54.41%	1191	0	0	0.35	0	0	0	1	0	1	0
Stats d'équipe Total ou en Moyenne				671	182	316	498	75	278	10	852	965	1644	451	1130	11.07%	518	16279	24.26	31	58	89	329	1735	9	655	30	16	53.37%	4594	1	6	0.61	6	24	1	1	24	29	29

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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)	61	32	21	7	0.908	2.56	3608	0	3	154	1677	0	5	2	0.769	26	61	0	10	2	1
Stats d'équipe Total ou en Moyenne			61	32	21	7	0.908	2.56	3608	0	3	154	1677	0	5	2	0.769	26	61	0	10	2	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 Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Adam Musil	BROOKLYN Wolfpack (NYR)	C	23	1997-03-26	No	92 Kg	191 CM	No	No	No	2	Pro & Farm	750,000$	199,541$	750,000$	199,541$	0$	0$	No	750,000$		Lien
Andrew Hammond	BROOKLYN Wolfpack (NYR)	G	32	1988-02-11	No	101 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	199,541$	750,000$	199,541$	0$	0$	No	750,000$	750,000$	Lien
Denis Gurianov	BROOKLYN Wolfpack (NYR)	RW	23	1997-06-07	No	91 Kg	191 CM	No	No	No	2	Pro & Farm	1,500,000$	399,082$	1,500,000$	399,082$	0$	0$	No	1,500,000$		Lien
Ethan Bear	BROOKLYN Wolfpack (NYR)	D	23	1997-06-26	No	90 Kg	180 CM	No	No	No	2	Pro & Farm	1,500,000$	399,082$	1,500,000$	399,082$	0$	0$	No	1,500,000$		Lien
Joey Anderson	BROOKLYN Wolfpack (NYR)	RW	22	1998-06-19	No	86 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	199,541$	750,000$	199,541$	0$	0$	No			Lien
Jujhar Khaira	BROOKLYN Wolfpack (NYR)	LW	26	1994-08-13	No	96 Kg	193 CM	No	No	No	3	Pro & Farm	1,200,000$	319,266$	1,200,000$	319,266$	0$	0$	No	1,200,000$	1,200,000$	Lien
Julius Honka	BROOKLYN Wolfpack (NYR)	D	24	1995-12-03	No	82 Kg	180 CM	No	No	No	2	Pro & Farm	750,000$	199,541$	750,000$	199,541$	0$	0$	No	750,000$		Lien
Kerby Rychel	BROOKLYN Wolfpack (NYR)	LW	25	1994-10-07	No	97 Kg	185 CM	No	No	No	2	Pro & Farm	750,000$	199,541$	750,000$	199,541$	0$	0$	No	750,000$		Lien
Mattias Janmark	BROOKLYN Wolfpack (NYR)	C/LW	27	1992-12-08	No	89 Kg	185 CM	No	No	No	1	Pro & Farm	2,100,000$	558,715$	2,100,000$	558,715$	0$	0$	No			Lien
Morgan Klimchuk	BROOKLYN Wolfpack (NYR)	LW	25	1995-03-02	No	84 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	199,541$	750,000$	199,541$	0$	0$	No	750,000$		Lien
Nick Cousins	BROOKLYN Wolfpack (NYR)	C	27	1993-07-20	No	83 Kg	180 CM	No	No	No	1	Pro & Farm	950,000$	252,752$	950,000$	252,752$	0$	0$	No			Lien
Scott Harrington	BROOKLYN Wolfpack (NYR)	D	27	1993-03-10	No	93 Kg	188 CM	No	No	No	2	Pro & Farm	750,000$	199,541$	750,000$	199,541$	0$	0$	No	750,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
12	25.33	90 Kg	185 CM	1.92	1,041,667$

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

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mattias Janmark	Nick Cousins	Denis Gurianov	55	1	2	2
2	Jujhar Khaira	Adam Musil	Joey Anderson	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	Nick Cousins	55	1	2	2
2	Mattias Janmark	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	Nick Cousins	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	Nick Cousins	55	1	2	2
2	Mattias Janmark	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
Mattias Janmark	Nick Cousins	Denis Gurianov	Ethan Bear	Scott Harrington

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mattias Janmark	Nick Cousins	Denis Gurianov	Ethan Bear	Scott Harrington

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

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

Tirs de Pénalité
Denis Gurianov, Nick Cousins, Mattias Janmark, Jujhar Khaira, Joey Anderson

Gardien
#1 : Andrew Hammond, #2 :

Lignes d'Attaque Perso. en Prol.
Denis Gurianov, Nick Cousins, Mattias Janmark, Jujhar Khaira, Joey Anderson, 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	BELLEVILLE Senators	3	1	2	0	0	0	0	0	4	9	-5	1	1	0	0	0	0	0	0	3	1	2	2	0	2	0	0	0	0	0	1	8	-7	2	0.333	4	8	12	0	0	70	65	43	10	71	557	565	514	55	81	25	14	50	10	2	20.00%	7	0	100.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
2	BRIDGEPORT Sound Tigers	3	0	2	0	1	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	2	-1	2	0	1	0	1	0	0	0	3	3	0	2	0.333	4	6	10	0	0	70	65	43	10	70	557	565	514	55	79	35	10	35	15	1	6.67%	5	3	40.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
3	Binghampton Devils	3	2	1	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	5	2	3	2	1	1	0	0	0	0	0	2	2	0	4	0.667	7	13	20	0	1	70	65	43	10	73	557	565	514	55	94	22	12	42	7	0	0.00%	6	1	83.33%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
4	CHICAGO Wolves	3	0	2	0	0	1	0	0	5	13	-8	1	0	1	0	0	0	0	0	3	7	-4	2	0	1	0	0	1	0	0	2	6	-4	1	0.167	5	10	15	0	0	70	65	43	10	73	557	565	514	55	96	19	12	41	5	0	0.00%	6	1	83.33%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
5	COLORADO Eagles	3	1	1	0	0	0	1	0	5	5	0	1	0	0	0	0	0	1	0	2	1	1	2	1	1	0	0	0	0	0	3	4	-1	4	0.667	5	7	12	0	0	70	65	43	10	62	557	565	514	55	69	36	10	49	12	1	8.33%	4	1	75.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
6	HERSEY Bears	3	2	1	0	0	0	0	0	6	5	1	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	1	0	1	4	0.667	6	11	17	0	1	70	65	43	10	59	557	565	514	55	62	29	12	43	8	1	12.50%	5	1	80.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
7	HOLLYWOOD Oscar	3	1	1	0	0	0	0	1	8	6	2	2	0	1	0	0	0	0	1	3	5	-2	1	1	0	0	0	0	0	0	5	1	4	3	0.500	8	15	23	0	0	70	65	43	10	72	557	565	514	55	102	31	18	43	11	2	18.18%	7	1	85.71%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
8	IOWA Wild	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	6	9	15	0	0	70	65	43	10	50	557	565	514	55	53	17	8	46	8	3	37.50%	4	1	75.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
9	LAVAL Rockets	2	1	1	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	3	9	-6	1	1	0	0	0	0	0	0	3	1	2	2	0.500	6	10	16	0	0	70	65	43	10	44	557	565	514	55	75	26	14	25	6	2	33.33%	6	3	50.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
10	LEHIGH VALLEY Phantoms	3	2	1	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	5	1	4	2	1	1	0	0	0	0	0	5	6	-1	4	0.667	10	16	26	0	0	70	65	43	10	87	557	565	514	55	76	24	16	65	14	2	14.29%	8	2	75.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
11	MILWAUKEE Admirals	3	2	1	0	0	0	0	0	7	5	2	2	1	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	2	3	4	0.667	7	12	19	1	1	70	65	43	10	76	557	565	514	55	78	27	2	27	6	1	16.67%	1	0	100.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
12	MONT-LAURIER Sommet	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	3	1	2	0.500	5	10	15	0	0	70	65	43	10	74	557	565	514	55	42	8	6	28	6	0	0.00%	2	0	100.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
13	Manitoba Moose	2	1	0	0	1	0	0	0	6	4	2	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	11	17	0	0	70	65	43	10	54	557	565	514	55	71	22	20	28	18	2	11.11%	10	3	70.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
14	Marlies de Toronto	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	3	4	-1	1	0.500	3	6	9	0	0	70	65	43	10	28	557	565	514	55	30	6	10	12	2	0	0.00%	5	0	100.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
15	PROVIDENCE Bruins	3	0	1	0	0	0	1	1	7	11	-4	2	0	0	0	0	0	1	1	6	6	0	1	0	1	0	0	0	0	0	1	5	-4	3	0.500	7	10	17	0	0	70	65	43	10	82	557	565	514	55	94	27	6	37	21	3	14.29%	2	0	100.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
16	PV Sharapovas	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	1	0	70	65	43	10	24	557	565	514	55	34	7	4	14	2	0	0.00%	2	0	100.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
17	Quebec Nordiques	2	1	0	0	0	1	0	0	5	4	1	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	5	7	12	0	0	70	65	43	10	63	557	565	514	55	33	20	9	21	3	0	0.00%	1	0	100.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
18	ROCKFORD IceHogs	2	1	1	0	0	0	0	0	4	4	0	2	1	1	0	0	0	0	0	4	4	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	4	6	10	0	0	70	65	43	10	44	557	565	514	55	72	24	8	34	8	0	0.00%	4	1	75.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
19	SAN DIEGO Gulls	4	4	0	0	0	0	0	0	37	11	26	2	2	0	0	0	0	0	0	15	8	7	2	2	0	0	0	0	0	0	22	3	19	8	1.000	37	67	104	0	0	70	65	43	10	227	557	565	514	55	63	16	10	54	4	1	25.00%	5	1	80.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
20	STOCKTON Flames	3	1	0	0	1	0	1	0	11	8	3	1	1	0	0	0	0	0	0	3	2	1	2	0	0	0	1	0	1	0	8	6	2	6	1.000	11	17	28	0	0	70	65	43	10	68	557	565	514	55	106	13	16	45	19	4	21.05%	6	0	100.00%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
21	Syracruse Crunch	4	0	2	0	1	1	0	0	13	18	-5	2	0	1	0	0	1	0	0	6	8	-2	2	0	1	0	1	0	0	0	7	10	-3	3	0.375	13	22	35	0	0	70	65	43	10	123	557	565	514	55	116	30	16	35	13	2	15.38%	8	1	87.50%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
22	TUSCON Roadrunners	3	2	0	0	0	1	0	0	12	8	4	2	1	0	0	0	1	0	0	9	6	3	1	1	0	0	0	0	0	0	3	2	1	5	0.833	12	21	33	0	0	70	65	43	10	94	557	565	514	55	104	27	35	40	9	2	22.22%	9	1	88.89%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
	Total	61	26	21	0	4	4	3	3	185	168	17	30	13	10	0	1	2	2	2	93	86	7	31	13	11	0	3	2	1	1	92	82	10	73	0.598	185	317	502	2	3	70	65	43	10	1667	557	565	514	55	1729	527	280	858	217	31	14.29%	119	22	81.51%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
24	WILKIES-BARRIE Penguins	3	2	1	0	0	0	0	0	11	10	1	1	1	0	0	0	0	0	0	3	2	1	2	1	1	0	0	0	0	0	8	8	0	4	0.667	11	18	29	0	0	70	65	43	10	49	557	565	514	55	99	36	12	44	10	2	20.00%	6	1	83.33%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
	_Since Last GM Reset	61	26	21	0	4	4	3	3	185	168	17	30	13	10	0	1	2	2	2	93	86	7	31	13	11	0	3	2	1	1	92	82	10	73	0.598	185	317	502	2	3	70	65	43	10	1667	557	565	514	55	1729	527	280	858	217	31	14.29%	119	22	81.51%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
	_Vs Conference	30	13	10	0	1	2	2	2	96	81	15	16	6	6	0	0	1	2	1	50	51	-1	14	7	4	0	1	1	0	1	46	30	16	36	0.600	96	166	262	1	2	70	65	43	10	859	557	565	514	55	822	272	129	397	96	12	12.50%	52	12	76.92%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
	_Vs Division	15	4	2	0	0	1	1	2	73	39	34	8	2	1	0	0	1	1	1	31	24	7	7	2	1	0	0	0	0	1	42	15	27	13	0.433	73	130	203	0	0	70	65	43	10	535	557	565	514	55	417	95	85	210	49	9	18.37%	29	3	89.66%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392

			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
61	73	W1	185	317	502	1667	1729	527	280	858	2	3

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
61	26	21	4	4	3	3	185	168

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	13	10	1	2	2	2	93	86

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	13	11	3	2	1	1	92	82

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	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
217	31	14.29%	119	22	81.51%	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
557	565	514	55	70	65	43	10

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
996	1833	54.34%	941	1863	50.51%	522	943	55.36%

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
1526	1090	1414	420	762	392

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	RI	Lien
1 - 2020-08-02	9	BROOKLYN Wolfpack	2	CHICAGO Wolves	3	L	X			Sommaire du Match
2 - 2020-08-03	20	HERSEY Bears	2	BROOKLYN Wolfpack	5	W				Sommaire du Match
4 - 2020-08-05	35	BROOKLYN Wolfpack	1	Binghampton Devils	2	L				Sommaire du Match
5 - 2020-08-06	40	PV Sharapovas	5	BROOKLYN Wolfpack	3	L				Sommaire du Match
6 - 2020-08-07	60	Syracruse Crunch	3	BROOKLYN Wolfpack	2	L				Sommaire du Match
8 - 2020-08-09	76	BROOKLYN Wolfpack	4	MONT-LAURIER Sommet	3	W				Sommaire du Match
9 - 2020-08-10	86	HOLLYWOOD Oscar	3	BROOKLYN Wolfpack	2	L	X	X		Sommaire du Match
11 - 2020-08-12	101	BROOKLYN Wolfpack	1	BRIDGEPORT Sound Tigers	2	L				Sommaire du Match
12 - 2020-08-13	114	Manitoba Moose	2	BROOKLYN Wolfpack	3	W	X		R3	Sommaire du Match
13 - 2020-08-14	124	BROOKLYN Wolfpack	3	LEHIGH VALLEY Phantoms	2	W				Sommaire du Match
14 - 2020-08-15	140	COLORADO Eagles	1	BROOKLYN Wolfpack	2	W	X	X		Sommaire du Match
16 - 2020-08-17	153	BROOKLYN Wolfpack	2	COLORADO Eagles	1	W				Sommaire du Match
17 - 2020-08-18	165	BROOKLYN Wolfpack	11	SAN DIEGO Gulls	2	W				Sommaire du Match
18 - 2020-08-19	176	BROOKLYN Wolfpack	3	Syracruse Crunch	7	L				Sommaire du Match
19 - 2020-08-20	181	Binghampton Devils	2	BROOKLYN Wolfpack	5	W				Sommaire du Match
21 - 2020-08-22	200	MILWAUKEE Admirals	0	BROOKLYN Wolfpack	1	W				Sommaire du Match
22 - 2020-08-23	217	LAVAL Rockets	9	BROOKLYN Wolfpack	3	L				Sommaire du Match
24 - 2020-08-25	232	BROOKLYN Wolfpack	2	Quebec Nordiques	3	L	X			Sommaire du Match
25 - 2020-08-26	244	STOCKTON Flames	2	BROOKLYN Wolfpack	3	W				Sommaire du Match
26 - 2020-08-27	257	BROOKLYN Wolfpack	4	STOCKTON Flames	3	W	X	X		Sommaire du Match
27 - 2020-08-28	270	CHICAGO Wolves	7	BROOKLYN Wolfpack	3	L				Sommaire du Match
29 - 2020-08-30	290	MONT-LAURIER Sommet	3	BROOKLYN Wolfpack	1	L				Sommaire du Match
30 - 2020-08-31	295	BROOKLYN Wolfpack	6	WILKIES-BARRIE Penguins	3	W				Sommaire du Match
32 - 2020-09-02	311	BROOKLYN Wolfpack	1	PROVIDENCE Bruins	5	L				Sommaire du Match
33 - 2020-09-03	322	ROCKFORD IceHogs	1	BROOKLYN Wolfpack	0	L				Sommaire du Match
34 - 2020-09-04	330	BROOKLYN Wolfpack	4	Syracruse Crunch	3	W	X			Sommaire du Match
36 - 2020-09-06	346	BRIDGEPORT Sound Tigers	2	BROOKLYN Wolfpack	1	L				Sommaire du Match
37 - 2020-09-07	354	BROOKLYN Wolfpack	0	BELLEVILLE Senators	3	L				Sommaire du Match
38 - 2020-09-08	374	BELLEVILLE Senators	1	BROOKLYN Wolfpack	3	W				Sommaire du Match
40 - 2020-09-10	389	BROOKLYN Wolfpack	3	Marlies de Toronto	4	L	X	X	R3	Sommaire du Match
41 - 2020-09-11	396	BROOKLYN Wolfpack	11	SAN DIEGO Gulls	1	W				Sommaire du Match
42 - 2020-09-12	408	Quebec Nordiques	1	BROOKLYN Wolfpack	3	W				Sommaire du Match
44 - 2020-09-14	425	BROOKLYN Wolfpack	2	WILKIES-BARRIE Penguins	5	L				Sommaire du Match
45 - 2020-09-15	432	PROVIDENCE Bruins	3	BROOKLYN Wolfpack	4	W	X	X		Sommaire du Match
46 - 2020-09-16	450	IOWA Wild	3	BROOKLYN Wolfpack	5	W				Sommaire du Match
48 - 2020-09-18	463	BROOKLYN Wolfpack	1	HERSEY Bears	0	W				Sommaire du Match
49 - 2020-09-19	473	BROOKLYN Wolfpack	3	Manitoba Moose	2	W			R3	Sommaire du Match
50 - 2020-09-20	483	PROVIDENCE Bruins	3	BROOKLYN Wolfpack	2	L	X	X		Sommaire du Match
52 - 2020-09-22	502	BROOKLYN Wolfpack	0	CHICAGO Wolves	3	L				Sommaire du Match
53 - 2020-09-23	509	WILKIES-BARRIE Penguins	2	BROOKLYN Wolfpack	3	W				Sommaire du Match
54 - 2020-09-24	528	HOLLYWOOD Oscar	2	BROOKLYN Wolfpack	1	L				Sommaire du Match
55 - 2020-09-25	535	BROOKLYN Wolfpack	1	BELLEVILLE Senators	5	L				Sommaire du Match
56 - 2020-09-26	547	BROOKLYN Wolfpack	1	COLORADO Eagles	3	L				Sommaire du Match
58 - 2020-09-28	563	HERSEY Bears	3	BROOKLYN Wolfpack	0	L				Sommaire du Match
59 - 2020-09-29	581	Syracruse Crunch	5	BROOKLYN Wolfpack	4	L	X			Sommaire du Match
60 - 2020-09-30	592	BROOKLYN Wolfpack	4	STOCKTON Flames	3	W	X			Sommaire du Match
61 - 2020-10-01	603	TUSCON Roadrunners	1	BROOKLYN Wolfpack	5	W				Sommaire du Match
63 - 2020-10-03	620	BROOKLYN Wolfpack	2	BRIDGEPORT Sound Tigers	1	W	X			Sommaire du Match
64 - 2020-10-04	628	BROOKLYN Wolfpack	1	Binghampton Devils	0	W				Sommaire du Match
65 - 2020-10-05	639	LEHIGH VALLEY Phantoms	1	BROOKLYN Wolfpack	5	W			R3	Sommaire du Match
66 - 2020-10-06	654	TUSCON Roadrunners	5	BROOKLYN Wolfpack	4	L	X			Sommaire du Match
67 - 2020-10-07	665	BROOKLYN Wolfpack	3	TUSCON Roadrunners	2	W				Sommaire du Match
69 - 2020-10-09	674	BROOKLYN Wolfpack	5	HOLLYWOOD Oscar	1	W				Sommaire du Match
70 - 2020-10-10	691	MILWAUKEE Admirals	3	BROOKLYN Wolfpack	1	L				Sommaire du Match
72 - 2020-10-12	708	BROOKLYN Wolfpack	3	LAVAL Rockets	1	W				Sommaire du Match
73 - 2020-10-13	719	SAN DIEGO Gulls	6	BROOKLYN Wolfpack	7	W				Sommaire du Match
74 - 2020-10-14	734	BROOKLYN Wolfpack	2	LEHIGH VALLEY Phantoms	4	L			R3	Sommaire du Match
75 - 2020-10-15	743	ROCKFORD IceHogs	3	BROOKLYN Wolfpack	4	W				Sommaire du Match
77 - 2020-10-17	760	SAN DIEGO Gulls	2	BROOKLYN Wolfpack	8	W				Sommaire du Match
79 - 2020-10-19	773	BROOKLYN Wolfpack	1	IOWA Wild	3	L				Sommaire du Match
80 - 2020-10-20	785	BROOKLYN Wolfpack	5	MILWAUKEE Admirals	2	W				Sommaire du Match
81 - 2020-10-21	795	BROOKLYN Wolfpack	-	VICTORIAVILLE Tigres	-
82 - 2020-10-22	805	Manitoba Moose	-	BROOKLYN Wolfpack	-
83 - 2020-10-23	822	VICTORIAVILLE Tigres	-	BROOKLYN Wolfpack	-
85 - 2020-10-25	838	BROOKLYN Wolfpack	-	LAVAL Rockets	-
86 - 2020-10-26	846	PV Sharapovas	-	BROOKLYN Wolfpack	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-10-28	866	Marlies de Toronto	-	BROOKLYN Wolfpack	-
89 - 2020-10-29	876	BROOKLYN Wolfpack	-	MONT-LAURIER Sommet	-
90 - 2020-10-30	894	COLORADO Eagles	-	BROOKLYN Wolfpack	-
91 - 2020-10-31	902	BROOKLYN Wolfpack	-	IOWA Wild	-
93 - 2020-11-02	917	PV Sharapovas	-	BROOKLYN Wolfpack	-
94 - 2020-11-03	926	BROOKLYN Wolfpack	-	UTICA Comets	-
95 - 2020-11-04	947	Marlies de Toronto	-	BROOKLYN Wolfpack	-
96 - 2020-11-05	957	BROOKLYN Wolfpack	-	PV Sharapovas	-
98 - 2020-11-07	970	UTICA Comets	-	BROOKLYN Wolfpack	-
100 - 2020-11-09	988	BROOKLYN Wolfpack	-	Quebec Nordiques	-
102 - 2020-11-11	1000	UTICA Comets	-	BROOKLYN Wolfpack	-
103 - 2020-11-12	1005	BROOKLYN Wolfpack	-	VICTORIAVILLE Tigres	-
106 - 2020-11-15	1026	Binghampton Devils	-	BROOKLYN Wolfpack	-
107 - 2020-11-16	1036	BROOKLYN Wolfpack	-	ROCKFORD IceHogs	-

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
10	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
920,192$	1,250,000$	1,250,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	917,440$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	29	11,468$	332,572$

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison Régulière
33	82	1	78	0	1	2	0	0	83	867	-784	41	1	39	0	1	0	0	0	50	422	-372	41	0	39	0	0	2	0	0	33	445	-412	2	83	158	241	0	0	38	26	18	1	1281	423	439	411	8	6668	1967	48	879	84	4	4.76%	27	12	55.56%	0	352	1056	33.33%	309	2236	13.82%	271	1572	17.24%	710	457	3473	489	743	237
34	61	26	21	0	4	4	3	3	185	168	17	30	13	10	0	1	2	2	2	93	86	7	31	13	11	0	3	2	1	1	92	82	10	73	185	317	502	2	3	70	65	43	10	1667	557	565	514	55	1729	527	280	858	217	31	14.29%	119	22	81.51%	0	996	1833	54.34%	941	1863	50.51%	522	943	55.36%	1526	1090	1414	420	762	392
Total Saison Régulière	143	27	99	0	5	6	3	3	268	1035	-767	71	14	49	0	2	2	2	2	143	508	-365	72	13	50	0	3	4	1	1	125	527	-402	75	268	475	743	2	3	108	91	61	11	2948	980	1004	925	63	8397	2494	328	1737	301	35	11.63%	146	34	76.71%	0	1348	2889	46.66%	1250	4099	30.50%	793	2515	31.53%	2236	1547	4887	909	1505	630