Profi League - Sharks

Sharks
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	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Valeri Nichushkin		X	X		100.00	66	44	86	86	83	79	68	70	61	46	42	60	50	61	62	0	56	64	0
2	Micheal Ferland		X			100.00	80	71	80	77	78	76	68	69	59	38	38	61	48	57	62	0	56	62	0
3	Colton Sissons (R)	X		X		100.00	64	83	67	76	54	52	84	66	90	39	43	65	50	49	49	0	56	59	0
4	Nicklas Jensen		X	X		100.00	66	76	72	70	58	68	66	60	74	33	40	63	50	46	46	0	56	56	0
5	Dominik Uher	X	X			100.00	59	73	61	67	55	65	63	56	67	32	33	57	50	44	44	0	56	52	0
6	Adam Tambellini (R)	X				100.00	61	64	70	64	50	55	61	56	64	31	35	59	50	44	44	0	46	51	0
7	Greg Chase (R)	X				100.00	57	68	59	66	52	48	58	56	68	34	29	55	50	44	44	0	46	50	0
8	Ville Pokka (R)				X	100.00	88	76	97	72	73	87	86	52	25	38	33	65	50	60	60	0	53	64	0
9	Cody Corbett (R)				X	100.00	61	74	69	69	60	62	66	63	25	32	33	63	50	49	44	0	56	55	0
10	Robbie Russo (R)				X	100.00	56	70	63	66	58	61	66	67	25	40	29	57	50	46	46	0	56	54	0
11	Dalton Thrower (R)				X	100.00	68	72	69	59	64	65	67	58	25	30	29	58	50	50	50	0	56	54	0
12	Reece Scarlett (R)				X	100.00	55	66	62	60	56	66	68	67	25	37	29	55	50	45	45	0	56	53	0
13	Samuel Morin (R)				X	100.00	55	79	58	65	62	63	66	58	25	32	35	54	50	55	55	0	57	53	0
14	Ludwig Bystrom (R)				X	100.00	58	64	67	66	56	61	66	56	25	29	27	57	50	55	55	0	56	52	0
15	Mason Geertsen (R)				X	100.00	58	78	66	67	62	58	63	55	25	28	26	57	50	46	46	0	46	51	0
Rayé
1	Josh Anderson (R)		X	X		100.00	81	48	68	70	59	54	68	63	58	38	38	58	50	45	45	0	56	56	0
2	Brock McGinn (R)		X	X		100.00	66	44	66	70	52	55	65	61	58	39	45	58	50	45	45	0	56	55	0
3	Stanislav Galiev			X		100.00	59	42	68	73	53	51	61	63	58	40	38	59	50	46	46	0	56	54	0
4	Nathan Walker (R)		X			100.00	56	64	59	64	50	63	62	58	67	35	36	55	50	44	44	0	46	52	0
5	Henri Ikonen (R)		X			100.00	64	66	70	58	51	65	63	54	64	30	29	57	50	44	44	0	46	50	0

	MOYENNE D'ÉQUIPE					100.00	64	66	69	68	59	63	67	60	49	35	34	59	50	49	49	0	53	55

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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	Alex Stalock	99.00	72	73	78	78	66	63	64	69	72	76	49	71	69	0	56	69	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	72	73	78	78	66	63	64	69	72	76	49	71	69	0	56	69

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Rick Kowalsky	60	76	69	67	60	61	82	CAN	44	5	100,000$

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

#	Nom du Joueur	Nom de l'Équipe	#	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Colton Sissons	Sharks (SJS)		C/RW	4	4	2	6	7	4	0	9	12	1	5	33.33%	0	16.:.45	1	2	3	0	0	0	1	1	0	37.50%	8	12	4	0	0	1.79	0
2	Valeri Nichushkin	Sharks (SJS)		LW/RW	4	1	3	4	4	0	0	5	11	5	3	9.09%	4	23.:.23	0	0	0	0	0	0	9	1	0	56.52%	46	14	3	0	0	0.85	0
3	Micheal Ferland	Sharks (SJS)		LW	4	1	3	4	8	0	0	8	8	3	2	12.50%	0	17.:.28	0	1	1	0	0	0	3	0	0	23.08%	13	2	2	0	0	1.14	0
4	Nicklas Jensen	Sharks (SJS)		LW/RW	4	2	0	2	3	0	0	11	6	1	3	33.33%	5	22.:.47	0	0	0	0	0	0	9	1	0	42.42%	33	2	4	0	0	0.44	0
5	Brock McGinn	Sharks (SJS)		LW/RW	4	0	1	1	1	8	0	4	1	2	4	0.00%	2	17.:.36	0	0	0	0	0	0	0	0	0	33.33%	3	13	2	0	0	0.28	0
6	Ville Pokka	Sharks (SJS)		D	4	0	1	1	4	27	5	5	1	3	2	0.00%	12	22.:.53	0	0	0	0	1	1	7	0	0	0.00%	0	3	5	0	0	0.22	0
7	Cody Corbett	Sharks (SJS)		D	4	0	1	1	4	2	0	9	2	0	1	0.00%	14	26.:.47	0	0	0	0	0	0	6	0	0	0.00%	0	1	3	0	0	0.19	0
8	Robbie Russo	Sharks (SJS)		D	4	0	1	1	1	0	0	2	0	0	2	0.00%	1	06.:.16	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.80	0
9	Josh Anderson	Sharks (SJS)		LW/RW	4	0	0	0	-1	0	0	4	5	1	2	0.00%	3	14.:.29	0	0	0	0	0	0	2	0	0	30.77%	13	2	1	0	0	0.00	0
10	Reece Scarlett	Sharks (SJS)		D	4	0	0	0	0	0	0	1	0	0	0	0.00%	1	01.:.51	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
11	Ludwig Bystrom	Sharks (SJS)		D	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.00	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
12	Samuel Morin	Sharks (SJS)		D	4	0	0	0	0	5	5	2	0	0	0	0.00%	0	04.:.13	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0
13	Dalton Thrower	Sharks (SJS)		D	4	0	0	0	5	0	0	5	0	0	0	0.00%	5	11.:.28	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0
14	Stanislav Galiev	Sharks (SJS)		RW	4	0	0	0	1	2	0	2	5	4	5	0.00%	1	14.:.59	0	0	0	0	0	0	0	0	0	66.67%	3	7	2	0	0	0.00	0
15	Dominik Uher	Sharks (SJS)		C/LW	4	0	0	0	-1	0	0	6	2	0	0	0.00%	1	12.:.18	0	0	0	0	0	0	0	0	0	52.17%	23	0	0	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		60	8	12	20	36	48	10	73	62	53	20	29	15.09%	49	853	14.22	1	3	4	1	42	0	1	1	4	41	3	0	45.77%	142	56	29	0	0.47	0	0	0	0	2	0	0	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	Alex Stalock	Sharks (SJS)	1	1	0	0	97.1%	1.00	60	0	0	1	35	24	0	0	0.0%	0	1	3	0	0	0
Stats d'équipe Total ou en Moyenne	1	1	0	0	0.971	1.00	60	0	0	1	35	24	0	0	0.000	0	1	3	0	0	0

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
Adam Tambellini	C	21	31.10.1994	Yes	169 Lbs	6 ft2	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Alex Stalock	G	28	28.11.1987	No	190 Lbs	6 ft0	No	No	1	Pro & Farm	1,700,000$	0$										Lien
Brock McGinn	LW/RW	22	02.02.1994 3:35:42	Yes	185 Lbs	6 ft0	No	No	2	Pro & Farm	1,100,000$	0$	1,100,000$									Lien
Cody Corbett	D	22	14.12.1993	Yes	204 Lbs	6 ft1	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Colton Sissons	C/RW	22	05.11.1993 1:37:55	Yes	187 Lbs	6 ft1	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Dalton Thrower	D	22	20.12.1993 0:57:58	Yes	203 Lbs	6 ft0	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
Dominik Uher	C/LW	23	31.12.1992 12:11:54	No	202 Lbs	6 ft0	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Greg Chase	C	21	31.12.1994	Yes	189 Lbs	6 ft0	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Henri Ikonen	LW	22	17.04.1994	Yes	184 Lbs	5 ft11	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Josh Anderson	LW/RW	26	08.06.1990 2:21:53	Yes	212 Lbs	6 ft3	No	No	2	Pro & Farm	700,000$	0$	700,000$									Lien
Ludwig Bystrom	D	22	20.07.1994	Yes	174 Lbs	6 ft0	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Mason Geertsen	D	21	18.04.1995	Yes	205 Lbs	6 ft4	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Micheal Ferland	LW	24	17.08.1992 12:13:42	No	215 Lbs	6 ft0	No	No	1	Pro & Farm	900,000$	0$										Lien
Nathan Walker	LW	22	07.04.1994	Yes	185 Lbs	5 ft8	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Nicklas Jensen	LW/RW	23	16.03.1993 0:15:21	No	202 Lbs	6 ft3	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Reece Scarlett	D	23	31.03.1993	Yes	180 Lbs	5 ft11	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Robbie Russo	D	23	15.02.1993	Yes	190 Lbs	6 ft0	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Samuel Morin	D	21	11.07.1995	Yes	202 Lbs	6 ft6	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Stanislav Galiev	RW	24	17.01.1992 9:51:55	No	187 Lbs	6 ft1	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Valeri Nichushkin	LW/RW	21	04.03.1995 6:09:40	No	210 Lbs	6 ft4	No	No	1	Pro & Farm	1,400,000$	0$										Lien
Ville Pokka	D	22	03.06.1994 1:44:28	Yes	214 Lbs	6 ft0	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	22.62	195 Lbs	6 ft1	5.8095238095238	542,857$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	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			45	1	2	2
2			35	1	2	2
3			20	1	2	2
4			0	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	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
Centre	Ailier Gauche	Ailier Droit	Défense	Défense

Défense Dernière Minute
Centre	Ailier Gauche	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.
Valeri Nichushkin, Nicklas Jensen, Brock McGinn, Stanislav Galiev, Dominik Uher, Mattias Janmark, Mattias Janmark, Micheal Ferland, Markus Granlund, Colton Sissons, Josh Anderson

Lignes de Défense Perso. en Prol.
Ville Pokka, Cody Corbett, Dalton Thrower, Samuel Morin, Reece Scarlett

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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

#	VS Équipe	GP	W	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	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	Penguins	1	1	5	1	4	2	1.000	5	6	11	6	11	3	23	34	34	31	35	23	0	24	3	1	33.33%	0	0	0.00%	0	25	50	50.00%	31	68	45.59%	22	54	40.74%	86	53	86	32	66	34
2	Bruins	1	1	8	1	7	2	1.000	8	10	18	6	11	3	26	34	34	31	31	20	31	27	3	1	33.33%	3	0	100.00%	0	25	50	50.00%	31	68	45.59%	22	54	40.74%	86	53	86	32	66	34
3	Americans	1	1	3	2	1	2	1.000	3	4	7	6	11	3	24	34	34	31	37	17	11	23	2	1	50.00%	3	1	66.67%	0	25	50	50.00%	31	68	45.59%	22	54	40.74%	86	53	86	32	66	34
4	Pirates	1	1	4	1	3	2	1.000	4	6	10	6	11	3	26	34	34	31	38	14	6	21	1	0	0.00%	3	0	100.00%	1	25	50	50.00%	31	68	45.59%	22	54	40.74%	86	53	86	32	66	34
	Vs Division	1	1	4	1	3	2	1.000	4	6	10	6	11	3	26	34	34	31	38	14	6	21	1	0	0.00%	3	0	100.00%	1	25	50	50.00%	31	68	45.59%	22	54	40.74%	86	53	86	32	66	34
	Vs Conference	1	1	4	1	3	2	1.000	4	6	10	6	11	3	26	34	34	31	38	14	6	21	1	0	0.00%	3	0	100.00%	1	25	50	50.00%	31	68	45.59%	22	54	40.74%	86	53	86	32	66	34
	Since Last GM Reset	4	4	20	5	15	8	1.000	20	26	46	6	11	3	99	34	34	31	141	74	48	95	9	3	33.33%	9	1	88.89%	1	25	50	50.00%	31	68	45.59%	22	54	40.74%	86	53	86	32	66	34
	Total	4	4	20	5	15	8	1.000	20	26	46	6	11	3	99	34	34	31	141	74	48	95	9	3	33.33%	9	1	88.89%	1	25	50	50.00%	31	68	45.59%	22	54	40.74%	86	53	86	32	66	34

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
4	8	W4	20	26	46	99	141	74	48	95	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	20	5

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	7	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	13	2

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	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
9	3	33.33%	9	1	88.89%	1

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
34	34	31	0	6	11	3	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	50	50.00%	31	68	45.59%	22	54	40.74%

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
86	53	86	32	66	34

Astuces sur les Filtres (Anglais seulement)

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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Sun, Nov 24	@	Pirates1,Sharks4	RECAP
Mon, Nov 25	@	Americans2,Sharks3	RECAP
Thu, Nov 28	@	Sharks8,Bruins1	RECAP
Fri, Nov 29	@	Sharks5,Penguins1	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,140,000$	300,000$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour
0$	0$	0$

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

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT