OTHL - Wolf Pack

Rangers
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance

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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	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Robby Fabbri	X	X	100.00	73	43	93	73	68	63	44	62	34	61	57	59	25	60	61	62	50	59	0
Rayé

	MOYENNE D'ÉQUIPE			100.00	73	43	93	73	68	63	44	62	34	61	57	59	25	60	61	62	50	59

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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

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#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV
Rayé

	MOYENNE D'ÉQUIPE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Pascal Vincent	62	46	71	73	53	43	58	CAN	44	4	900,000$

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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

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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

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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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	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
Robby Fabbri	Wolf Pack (NYR)	C/LW	24	1996-01-22	No	190 Lbs	5 ft10	No	No	No	1	Pro & Farm	900,000$		0$	0$	No										Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
1	24.00	190 Lbs	5 ft10	1.00	900,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	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.
, , , ,

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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	Americans	3	0	3	0	0	0	0	0	1	20	-19	2	0	2	0	0	0	0	0	1	13	-12	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	1	2	3	0	0	79	65	53	3	28	752	712	814	20	125	36	13	33	7	0	0.00%	3	1	66.67%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
2	Admirals	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	3	1	2	0.500	7	13	20	0	0	79	65	53	3	100	752	712	814	20	77	31	6	37	3	0	0.00%	3	0	100.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
3	Barracudas	2	0	2	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	2	4	6	0	0	79	65	53	3	45	752	712	814	20	74	20	4	27	1	1	100.00%	2	1	50.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
4	Bears	4	0	4	0	0	0	0	0	8	27	-19	2	0	2	0	0	0	0	0	3	13	-10	2	0	2	0	0	0	0	0	5	14	-9	0	0.000	8	16	24	0	0	79	65	53	3	133	752	712	814	20	207	52	8	63	4	0	0.00%	4	0	100.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
5	Bruins	3	0	3	0	0	0	0	0	2	17	-15	2	0	2	0	0	0	0	0	2	12	-10	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	2	4	6	0	0	79	65	53	3	54	752	712	814	20	95	35	10	29	5	0	0.00%	5	2	60.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
6	Checkers	4	0	4	0	0	0	0	0	5	39	-34	2	0	2	0	0	0	0	0	3	23	-20	2	0	2	0	0	0	0	0	2	16	-14	0	0.000	5	10	15	0	0	79	65	53	3	61	752	712	814	20	244	64	16	47	9	2	22.22%	8	3	62.50%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
7	Comets	2	0	2	0	0	0	0	0	1	16	-15	1	0	1	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	0	8	-8	0	0.000	1	2	3	0	0	79	65	53	3	20	752	712	814	20	98	32	8	21	2	0	0.00%	3	1	66.67%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
8	Condors	2	0	2	0	0	0	0	0	1	14	-13	1	0	1	0	0	0	0	0	0	8	-8	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	1	2	3	0	0	79	65	53	3	13	752	712	814	20	87	23	10	18	2	0	0.00%	4	2	50.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
9	Crunch	3	0	3	0	0	0	0	0	4	23	-19	1	0	1	0	0	0	0	0	2	6	-4	2	0	2	0	0	0	0	0	2	17	-15	0	0.000	4	8	12	0	0	79	65	53	3	61	752	712	814	20	134	45	12	52	5	1	20.00%	5	1	80.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
10	Devils	4	1	2	0	0	0	0	1	22	23	-1	2	0	1	0	0	0	0	1	11	14	-3	2	1	1	0	0	0	0	0	11	9	2	3	0.375	22	44	66	1	0	79	65	53	3	183	752	712	814	20	209	59	32	122	7	0	0.00%	7	1	85.71%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
11	Eagles	2	1	0	0	0	1	0	0	10	9	1	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	1	0	0	5	6	-1	3	0.750	10	20	30	0	0	79	65	53	3	119	752	712	814	20	94	36	2	67	2	1	50.00%	1	0	100.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
12	Griffins	3	0	3	0	0	0	0	0	8	17	-9	2	0	2	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	8	16	24	0	0	79	65	53	3	88	752	712	814	20	151	42	15	45	8	0	0.00%	5	1	80.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
13	Gulls	2	0	2	0	0	0	0	0	3	17	-14	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	3	5	8	0	0	79	65	53	3	47	752	712	814	20	145	36	8	37	2	0	0.00%	3	0	100.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
14	Heat	2	0	2	0	0	0	0	0	4	19	-15	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	2	11	-9	0	0.000	4	7	11	0	0	79	65	53	3	33	752	712	814	20	123	33	0	16	9	1	11.11%	0	0	0.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
15	IceHogs	2	0	2	0	0	0	0	0	3	17	-14	1	0	1	0	0	0	0	0	0	8	-8	1	0	1	0	0	0	0	0	3	9	-6	0	0.000	3	5	8	0	0	79	65	53	3	12	752	712	814	20	113	28	6	22	4	1	25.00%	2	0	100.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
16	Marlies	3	0	3	0	0	0	0	0	10	21	-11	2	0	2	0	0	0	0	0	7	13	-6	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	10	20	30	0	0	79	65	53	3	92	752	712	814	20	156	37	16	45	7	1	14.29%	8	2	75.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
17	Monsters	4	0	4	0	0	0	0	0	5	33	-28	2	0	2	0	0	0	0	0	3	18	-15	2	0	2	0	0	0	0	0	2	15	-13	0	0.000	5	10	15	0	0	79	65	53	3	49	752	712	814	20	166	64	14	47	11	2	18.18%	6	1	83.33%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
18	Moose	2	0	2	0	0	0	0	0	3	12	-9	1	0	1	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	3	6	9	0	0	79	65	53	3	39	752	712	814	20	94	24	18	22	5	0	0.00%	9	4	55.56%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
19	Penguins	4	0	4	0	0	0	0	0	8	25	-17	2	0	2	0	0	0	0	0	5	13	-8	2	0	2	0	0	0	0	0	3	12	-9	0	0.000	8	16	24	0	0	79	65	53	3	110	752	712	814	20	158	51	14	75	9	2	22.22%	6	3	50.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
20	Phantoms	4	0	4	0	0	0	0	0	6	33	-27	2	0	2	0	0	0	0	0	4	18	-14	2	0	2	0	0	0	0	0	2	15	-13	0	0.000	6	11	17	0	0	79	65	53	3	88	752	712	814	20	238	56	10	73	9	0	0.00%	5	2	60.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
21	Rampage	2	1	1	0	0	0	0	0	12	12	0	1	1	0	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	5	6	-1	2	0.500	12	24	36	0	0	79	65	53	3	102	752	712	814	20	95	32	4	36	8	3	37.50%	2	0	100.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
22	Reign	2	1	1	0	0	0	0	0	11	10	1	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	7	5	2	2	0.500	11	22	33	0	0	79	65	53	3	106	752	712	814	20	92	24	6	51	2	1	50.00%	3	1	66.67%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
23	Roadrunners	2	1	1	0	0	0	0	0	6	14	-8	1	1	0	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	0	9	-9	2	0.500	6	12	18	0	0	79	65	53	3	69	752	712	814	20	91	26	4	29	2	0	0.00%	2	0	100.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
24	Rocket	3	0	3	0	0	0	0	0	2	28	-26	1	0	1	0	0	0	0	0	1	8	-7	2	0	2	0	0	0	0	0	1	20	-19	0	0.000	2	4	6	0	0	79	65	53	3	38	752	712	814	20	192	40	16	27	5	0	0.00%	7	3	57.14%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
25	Senators	3	1	2	0	0	0	0	0	11	14	-3	1	0	1	0	0	0	0	0	3	6	-3	2	1	1	0	0	0	0	0	8	8	0	2	0.333	11	22	33	0	0	79	65	53	3	166	752	712	814	20	134	37	2	57	4	0	0.00%	1	0	100.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
26	Sound Tigers	4	1	1	0	0	1	1	0	18	19	-1	2	1	0	0	0	0	1	0	11	9	2	2	0	1	0	0	1	0	0	7	10	-3	5	0.625	18	34	52	0	0	79	65	53	3	174	752	712	814	20	203	57	6	108	3	0	0.00%	3	0	100.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
27	Stars	2	0	2	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	4	8	12	0	0	79	65	53	3	79	752	712	814	20	98	23	12	49	5	0	0.00%	6	3	50.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
28	Thunderbirds	3	0	3	0	0	0	0	0	10	22	-12	1	0	1	0	0	0	0	0	3	6	-3	2	0	2	0	0	0	0	0	7	16	-9	0	0.000	10	20	30	0	0	79	65	53	3	54	752	712	814	20	116	41	8	32	10	2	20.00%	4	1	75.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
	Total	82	8	69	0	0	2	1	2	198	551	-353	41	4	34	0	0	0	1	2	106	273	-167	41	4	35	0	0	2	0	0	92	278	-186	22	0.134	198	389	587	1	0	79	65	53	3	2285	752	712	814	20	4009	1137	294	1362	157	18	11.46%	125	34	72.80%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
30	Wild	2	0	2	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	6	12	18	0	0	79	65	53	3	92	752	712	814	20	106	34	8	42	4	0	0.00%	4	0	100.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
31	Wolves	2	0	1	0	0	0	0	1	5	14	-9	1	0	0	0	0	0	0	1	4	5	-1	1	0	1	0	0	0	0	0	1	9	-8	1	0.250	5	10	15	0	0	79	65	53	3	30	752	712	814	20	94	19	6	33	3	0	0.00%	4	1	75.00%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
	_Since Last GM Reset	82	8	69	0	0	2	1	2	198	551	-353	41	4	34	0	0	0	1	2	106	273	-167	41	4	35	0	0	2	0	0	92	278	-186	22	0.134	198	389	587	1	0	79	65	53	3	2285	752	712	814	20	4009	1137	294	1362	157	18	11.46%	125	34	72.80%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
	_Vs Conference	51	3	45	0	0	1	1	1	120	357	-237	25	1	22	0	0	0	1	1	63	178	-115	26	2	23	0	0	1	0	0	57	179	-122	10	0.098	120	237	357	1	0	79	65	53	3	1371	752	712	814	20	2501	712	187	843	98	10	10.20%	77	21	72.73%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
	_Vs Division	28	1	23	0	0	1	1	0	72	199	-127	14	1	11	0	0	0	1	0	40	108	-68	14	0	12	0	0	1	0	0	32	91	-59	5	0.089	72	141	213	1	0	79	65	53	3	798	752	712	814	20	1425	403	100	535	52	6	11.54%	39	10	74.36%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346

			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
82	22	L12	198	389	587	2285	4009	1137	294	1362	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	8	69	0	2	1	2	198	551

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	4	34	0	0	1	2	106	273

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	4	35	0	2	0	0	92	278

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	10	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
157	18	11.46%	125	34	72.80%	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
752	712	814	20	79	65	53	3

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
688	1733	39.70%	876	2401	36.48%	562	1471	38.21%

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
1232	849	2838	551	864	346

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	Lien
2 - 2019-10-05	10	Moose	8	Wolf Pack	3	L			Sommaire du Match
4 - 2019-10-07	26	Wolf Pack	5	Senators	4	W			Sommaire du Match
11 - 2019-10-14	71	Condors	8	Wolf Pack	0	L			Sommaire du Match
16 - 2019-10-19	103	Wolf Pack	7	Devils	3	W			Sommaire du Match
17 - 2019-10-20	112	Wolf Pack	3	Bears	6	L			Sommaire du Match
19 - 2019-10-22	127	Comets	8	Wolf Pack	1	L			Sommaire du Match
21 - 2019-10-24	141	Roadrunners	5	Wolf Pack	6	W			Sommaire du Match
23 - 2019-10-26	153	Americans	5	Wolf Pack	1	L			Sommaire du Match
26 - 2019-10-29	174	Bruins	6	Wolf Pack	0	L			Sommaire du Match
28 - 2019-10-31	185	Crunch	6	Wolf Pack	2	L			Sommaire du Match
32 - 2019-11-04	213	Wolf Pack	4	Admirals	3	W			Sommaire du Match
34 - 2019-11-06	223	Senators	6	Wolf Pack	3	L			Sommaire du Match
36 - 2019-11-08	236	Griffins	6	Wolf Pack	1	L			Sommaire du Match
37 - 2019-11-09	238	Wolf Pack	2	Checkers	9	L			Sommaire du Match
40 - 2019-11-12	267	Thunderbirds	6	Wolf Pack	3	L			Sommaire du Match
42 - 2019-11-14	276	Penguins	5	Wolf Pack	3	L			Sommaire du Match
44 - 2019-11-16	292	Wolf Pack	2	Crunch	9	L			Sommaire du Match
46 - 2019-11-18	303	Wolf Pack	3	Thunderbirds	8	L			Sommaire du Match
50 - 2019-11-22	332	Bears	5	Wolf Pack	1	L			Sommaire du Match
52 - 2019-11-24	346	Wolf Pack	3	Senators	4	L			Sommaire du Match
53 - 2019-11-25	353	Wolf Pack	1	Rocket	11	L			Sommaire du Match
55 - 2019-11-27	370	Wild	6	Wolf Pack	4	L			Sommaire du Match
57 - 2019-11-29	384	Checkers	7	Wolf Pack	1	L			Sommaire du Match
59 - 2019-12-01	392	Wolf Pack	0	Bruins	5	L			Sommaire du Match
60 - 2019-12-02	411	Wolf Pack	4	Devils	6	L			Sommaire du Match
62 - 2019-12-04	423	Wolves	5	Wolf Pack	4	L	X	X	Sommaire du Match
65 - 2019-12-07	440	Wolf Pack	0	Monsters	7	L			Sommaire du Match
66 - 2019-12-08	450	Rocket	8	Wolf Pack	1	L			Sommaire du Match
68 - 2019-12-10	466	Wolf Pack	1	Wolves	9	L			Sommaire du Match
70 - 2019-12-12	477	Wolf Pack	7	Reign	5	W			Sommaire du Match
72 - 2019-12-14	495	Wolf Pack	1	Barracudas	4	L			Sommaire du Match
74 - 2019-12-16	501	Wolf Pack	2	Gulls	8	L			Sommaire du Match
76 - 2019-12-18	522	Admirals	4	Wolf Pack	3	L			Sommaire du Match
80 - 2019-12-22	551	Marlies	7	Wolf Pack	4	L			Sommaire du Match
82 - 2019-12-24	567	Gulls	9	Wolf Pack	1	L			Sommaire du Match
83 - 2019-12-25	576	Wolf Pack	1	Phantoms	8	L			Sommaire du Match
87 - 2019-12-29	589	Checkers	16	Wolf Pack	2	L			Sommaire du Match
88 - 2019-12-30	599	Wolf Pack	3	Marlies	8	L			Sommaire du Match
91 - 2020-01-02	620	Wolf Pack	1	Condors	6	L			Sommaire du Match
93 - 2020-01-04	630	Wolf Pack	2	Heat	11	L			Sommaire du Match
95 - 2020-01-06	651	Wolf Pack	0	Comets	8	L			Sommaire du Match
98 - 2020-01-09	670	Eagles	3	Wolf Pack	5	W			Sommaire du Match
100 - 2020-01-11	684	Devils	7	Wolf Pack	5	L			Sommaire du Match
102 - 2020-01-13	700	Wolf Pack	5	Rampage	6	L			Sommaire du Match
104 - 2020-01-15	710	Sound Tigers	5	Wolf Pack	6	W	X	X	Sommaire du Match
107 - 2020-01-18	734	Wolf Pack	4	Sound Tigers	6	L			Sommaire du Match
110 - 2020-01-21	757	Monsters	11	Wolf Pack	2	L			Sommaire du Match
112 - 2020-01-23	764	Sound Tigers	4	Wolf Pack	5	W			Sommaire du Match
122 - 2020-02-02	788	Griffins	5	Wolf Pack	3	L			Sommaire du Match
123 - 2020-02-03	795	Wolf Pack	4	Griffins	6	L			Sommaire du Match
125 - 2020-02-05	810	Stars	5	Wolf Pack	2	L			Sommaire du Match
127 - 2020-02-07	826	Marlies	6	Wolf Pack	3	L			Sommaire du Match
129 - 2020-02-09	841	Americans	8	Wolf Pack	0	L			Sommaire du Match
131 - 2020-02-11	858	Reign	5	Wolf Pack	4	L			Sommaire du Match
133 - 2020-02-13	876	Wolf Pack	0	Moose	4	L			Sommaire du Match
135 - 2020-02-15	884	Wolf Pack	2	Wild	6	L			Sommaire du Match
136 - 2020-02-16	892	Wolf Pack	2	Monsters	8	L			Sommaire du Match
138 - 2020-02-18	910	Bruins	6	Wolf Pack	2	L			Sommaire du Match
141 - 2020-02-21	928	Wolf Pack	3	IceHogs	9	L			Sommaire du Match
143 - 2020-02-23	942	Wolf Pack	0	Checkers	7	L			Sommaire du Match
144 - 2020-02-24	952	Barracudas	2	Wolf Pack	1	L			Sommaire du Match
147 - 2020-02-27	976	Wolf Pack	3	Sound Tigers	4	L	X		Sommaire du Match
149 - 2020-02-29	987	Wolf Pack	0	Rocket	9	L			Sommaire du Match
150 - 2020-03-01	997	Wolf Pack	1	Phantoms	7	L			Sommaire du Match
152 - 2020-03-03	1015	Phantoms	9	Wolf Pack	4	L			Sommaire du Match
154 - 2020-03-05	1023	Rampage	6	Wolf Pack	7	W			Sommaire du Match
156 - 2020-03-07	1038	Bears	8	Wolf Pack	2	L			Sommaire du Match
158 - 2020-03-09	1055	Devils	7	Wolf Pack	6	L	X	X	Sommaire du Match
161 - 2020-03-12	1071	Wolf Pack	2	Stars	6	L			Sommaire du Match
162 - 2020-03-13	1080	Wolf Pack	5	Eagles	6	L	X		Sommaire du Match
165 - 2020-03-16	1098	Wolf Pack	0	Roadrunners	9	L			Sommaire du Match
167 - 2020-03-18	1121	Heat	8	Wolf Pack	2	L			Sommaire du Match
169 - 2020-03-20	1134	Penguins	8	Wolf Pack	2	L			Sommaire du Match
171 - 2020-03-22	1150	Wolf Pack	2	Penguins	7	L			Sommaire du Match
173 - 2020-03-24	1164	Wolf Pack	0	Americans	7	L			Sommaire du Match
175 - 2020-03-26	1180	Monsters	7	Wolf Pack	1	L			Sommaire du Match
177 - 2020-03-28	1198	Wolf Pack	2	Bears	8	L			Sommaire du Match
179 - 2020-03-30	1214	Wolf Pack	0	Crunch	8	L			Sommaire du Match
181 - 2020-04-01	1227	Wolf Pack	4	Thunderbirds	8	L			Sommaire du Match
183 - 2020-04-03	1241	Phantoms	9	Wolf Pack	0	L			Sommaire du Match
184 - 2020-04-04	1250	Wolf Pack	1	Penguins	5	L			Sommaire du Match
186 - 2020-04-06	1267	IceHogs	8	Wolf Pack	0	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	19	0
Assistance	73,896	35,726
Assistance PCT	90.12%	87.14%

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	2674 - 89.12%	34,244$	1,404,024$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,241,769$	90,000$	90,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
484$	341,843$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	5,323$	0$

Afficher ou Masquer des Colonnes

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	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
2019	82	8	69	0	0	2	1	2	198	551	-353	41	4	34	0	0	0	1	2	106	273	-167	41	4	35	0	0	2	0	0	92	278	-186	22	198	389	587	1	0	79	65	53	3	2285	752	712	814	20	4009	1137	294	1362	157	18	11.46%	125	34	72.80%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346
Total Saison Régulière	82	8	69	0	0	2	1	2	198	551	-353	41	4	34	0	0	0	1	2	106	273	-167	41	4	35	0	0	2	0	0	92	278	-186	22	198	389	587	1	0	79	65	53	3	2285	752	712	814	20	4009	1137	294	1362	157	18	11.46%	125	34	72.80%	0	688	1733	39.70%	876	2401	36.48%	562	1471	38.21%	1232	849	2838	551	864	346