Profi League - Oilers

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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	Jason Spezza (C)	X				100.00	58	42	87	80	81	86	90	83	99	53	56	61	70	88	89	0	49	72	0
2	Bryan Little	X		X		100.00	65	42	93	85	61	92	78	85	97	52	52	72	60	77	78	0	49	71	0
3	Jarome Iginla (A)			X		100.00	67	66	82	76	82	84	97	79	63	49	52	60	56	98	99	0	49	71	0
4	Jordan Eberle (A)			X		100.00	62	41	97	85	73	87	86	84	63	50	54	61	73	69	69	0	49	70	0
5	Nick Foligno	X	X	X		100.00	82	71	79	83	80	86	87	76	63	51	48	64	50	75	77	0	49	70	0
6	Michael Cammalleri	X	X			100.00	58	41	83	87	67	92	70	84	63	53	52	64	60	79	81	0	49	69	0
7	Drew Stafford		X	X		100.00	66	43	84	78	76	87	87	72	56	46	50	65	65	76	78	0	49	68	0
8	Zemgus Girgensons	X	X	X		100.00	75	45	88	83	83	82	76	70	68	44	44	68	50	62	62	0	49	67	0
9	Jesper Fast		X	X		100.00	72	44	95	83	62	81	85	66	61	46	44	73	50	60	62	0	49	66	0
10	Kyle Brodziak	X		X		100.00	64	53	81	73	75	73	86	66	86	40	43	73	50	77	79	0	49	65	0
11	J.T. Brown		X	X		100.00	70	85	79	78	71	77	74	66	60	44	42	71	50	62	64	0	49	64	0
12	Radek Faksa	X	X			100.00	65	44	67	70	86	74	69	66	87	41	41	67	50	48	48	0	49	61	0
13	Johnny Oduya				X	100.00	71	43	85	79	78	82	94	66	25	45	40	80	50	88	88	0	49	70	0
14	Jeff Petry				X	100.00	77	42	86	84	70	86	82	77	25	44	42	78	50	68	69	0	49	69	0
15	Jonas Brodin				X	100.00	68	42	87	86	68	82	87	68	25	41	39	79	50	75	67	0	49	67	0
16	Andrew MacDonald				X	97.18	66	42	89	73	72	83	81	69	25	43	40	76	50	69	70	0	39	66	0
17	Brandon Davidson				X	100.00	75	45	85	81	75	80	76	71	25	41	42	78	50	51	51	0	49	66	0
18	Nathan Beaulieu				X	100.00	71	74	75	81	69	76	85	72	25	46	39	74	50	65	61	0	52	66	0
Rayé
1	Ryan Craig	X	X			100.00	65	78	64	67	59	67	66	56	70	33	33	59	50	62	63	0	50	55	0
2	Patrick Bordeleau		X	X		100.00	79	86	65	68	59	52	60	52	68	31	28	60	50	59	60	0	50	54	0

	MOYENNE D'ÉQUIPE					99.85	69	53	83	79	72	80	81	71	58	45	44	69	54	70	71	0	49	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	Marc-Andre Fleury	100.00	79	90	83	90	82	77	79	81	80	80	80	77	91	0	49	81	0
2	Devan Dubnyk	100.00	81	96	91	93	78	79	79	79	82	76	75	79	78	0	49	80	0
Rayé
1	Kenny Reiter	100.00	53	65	48	72	80	58	58	56	56	54	50	47	55	0	50	58	0

	MOYENNE D'ÉQUIPE	100.00	71	84	74	85	80	71	72	72	73	70	68	68	75	0	49	73

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bob Hartley	87	69	82	86	85	80	60	CAN	55	4	1,000,000$

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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	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Jason Spezza	Oilers		C	4	3	2	5	2	0	0	9	11	4	4	27.27%	1	19.:.41	0	1	1	0	0	1	0	59.65%	57	8	2	0	0	1.27	2
2	Michael Cammalleri	Oilers		C/LW	4	2	2	4	4	0	0	3	20	8	6	10.00%	1	17.:.46	0	0	0	0	0	0	0	0.00%	0	11	1	0	0	1.13	2
3	Jordan Eberle	Oilers		RW	4	2	2	4	2	0	0	3	9	4	11	22.22%	0	19.:.32	1	0	1	0	0	1	1	0.00%	2	11	0	0	0	1.02	2
4	Bryan Little	Oilers		C/RW	4	1	2	3	4	0	0	4	12	4	10	8.33%	4	19.:.19	0	0	0	0	4	0	0	52.54%	59	11	1	0	0	0.78	0
5	Jeff Petry	Oilers		D	4	0	2	2	4	0	0	6	1	3	2	0.00%	3	23.:.09	0	0	0	0	5	0	0	0.00%	0	0	6	0	0	0.43	0
6	Jarome Iginla	Oilers		RW	4	1	0	1	4	0	0	5	3	3	1	33.33%	1	16.:.22	0	0	0	0	0	0	0	50.00%	4	0	1	0	0	0.31	0
7	Kyle Brodziak	Oilers		C/RW	4	0	1	1	-1	0	0	1	9	2	3	0.00%	1	11.:.38	0	0	0	0	5	0	0	40.00%	20	1	1	0	0	0.43	0
8	Johnny Oduya	Oilers		D	4	0	1	1	3	0	0	6	4	3	2	0.00%	11	24.:.59	0	0	0	0	5	0	0	0.00%	0	0	14	0	0	0.20	0
9	Nathan Beaulieu	Oilers		D	4	0	1	1	1	0	0	9	5	5	5	0.00%	7	21.:.20	0	0	0	0	0	0	0	0.00%	0	1	9	0	0	0.23	0
10	Jonas Brodin	Oilers		D	4	0	1	1	1	2	0	5	12	3	1	0.00%	6	21.:.45	0	0	0	0	4	0	0	0.00%	0	2	5	0	0	0.23	0
11	Jesper Fast	Oilers		LW/RW	4	0	0	0	-2	0	0	6	6	0	3	0.00%	1	14.:.17	0	0	0	0	4	0	0	100.00%	1	7	1	0	0	0.00	0
12	Drew Stafford	Oilers		LW/RW	4	0	0	0	-2	0	0	7	5	4	7	0.00%	2	14.:.21	0	0	0	0	0	0	0	100.00%	1	5	3	0	0	0.00	0
13	Radek Faksa	Oilers		C/LW	4	0	0	0	-1	4	0	5	4	0	1	0.00%	2	10.:.12	0	0	0	0	0	0	0	100.00%	1	1	1	0	0	0.00	0
14	Andrew MacDonald	Oilers		D	4	0	0	0	-1	0	0	3	5	2	3	0.00%	4	11.:.44	0	0	0	0	0	0	0	0.00%	0	0	4	0	0	0.00	0
15	Nick Foligno	Oilers		C/LW/RW	4	0	0	0	2	4	0	8	9	0	2	0.00%	1	18.:.11	0	0	0	0	0	0	0	50.00%	2	3	1	0	0	0.00	0
16	J.T. Brown	Oilers		LW/RW	4	0	0	0	-1	2	0	3	7	1	3	0.00%	2	11.:.19	0	0	0	0	5	0	0	100.00%	1	2	0	0	0	0.00	0
17	Brandon Davidson	Oilers		D	4	0	0	0	-2	0	0	5	10	5	3	0.00%	10	16.:.44	0	0	0	0	4	0	0	0.00%	0	3	3	0	0	0.00	0
18	Zemgus Girgensons	Oilers		C/LW/RW	4	0	0	0	-2	0	0	8	7	1	4	0.00%	1	12.:.24	0	0	0	0	0	0	0	31.25%	16	4	1	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		72	9	14	23	15	12	0	96	100	139	52	71	6.47%	58	1219	16.94	1	1	2	8	69	0	1	41	2	1	51.83%	164	70	54	0	0.38	0	6	0	0	0	1	2	3

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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	Devan Dubnyk	Oilers	1	1	0	0	97.1%	1.00	60	0	0	1	34	22	0	0	0.0%	0	1	3	1	0	0
2	Marc-Andre Fleury	Oilers	3	1	0	2	95.0%	1.58	190	0	0	5	100	75	0	0	50.0%	4	3	1	0	1	1
Stats d'équipe Total ou en Moyenne	4	2	0	2	0.955	1.44	250	0	0	6	134	97	0	0	0.500	4	4	4	1	1	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	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	Link
Andrew MacDonald	D	30	07.09.1986	No	204 Lbs	6 ft2	No	No	1	Pro & Farm	2,400,000$	0$				Lien
Brandon Davidson	D	25	21.08.1991 9:11:13	No	210 Lbs	6 ft2	No	No	1	Pro & Farm	900,000$	0$				Lien
Bryan Little	C/RW	28	12.11.1987	No	189 Lbs	5 ft11	No	No	2	Pro & Farm	5,000,000$	0$	5,000,000$			Lien
Devan Dubnyk	G	30	04.04.1986	No	210 Lbs	6 ft6	No	No	4	Pro & Farm	4,900,000$	0$	4,900,000$	4,900,000$	4,900,000$	Lien
Drew Stafford	LW/RW	30	30.10.1985	No	214 Lbs	6 ft2	No	No	3	Pro & Farm	3,300,000$	0$	3,300,000$	3,300,000$		Lien
J.T. Brown	LW/RW	26	02.07.1990 1:17:10	No	172 Lbs	5 ft10	No	No	1	Pro Only	1,200,000$	0$				Lien
Jarome Iginla	RW	39	01.07.1977	No	210 Lbs	6 ft1	No	No	2	Pro & Farm	4,400,000$	0$	4,400,000$			Lien
Jason Spezza	C	33	13.06.1983	No	220 Lbs	6 ft3	No	No	2	Pro & Farm	6,000,000$	0$	6,000,000$			Lien
Jeff Petry	D	28	09.12.1987	No	198 Lbs	6 ft3	No	No	1	Pro & Farm	3,000,000$	0$				Lien
Jesper Fast (Contrat à 1 Volet)	LW/RW	24	02.12.1991 1:21:53	No	185 Lbs	6 ft0	No	No	2	Pro & Farm	1,500,000$	0$	1,500,000$			Lien
Johnny Oduya	D	35	01.10.1981	No	188 Lbs	6 ft0	Yes	No	2	Pro & Farm	5,200,000$	0$	5,200,000$			Lien
Jonas Brodin	D	23	12.07.1993 4:25:26	No	194 Lbs	6 ft1	No	No	2	Pro & Farm	2,400,000$	0$	2,400,000$			Lien
Jordan Eberle	RW	26	15.05.1990	No	183 Lbs	5 ft11	Yes	No	4	Pro & Farm	5,400,000$	0$	5,400,000$	5,400,000$	5,400,000$	Lien
Kenny Reiter	G	29	24.11.1986	No	170 Lbs	5 ft11	No	No	1	Pro & Farm	500,000$	0$
Kyle Brodziak	C/RW	32	25.05.1984	No	212 Lbs	6 ft2	No	No	2	Pro & Farm	2,200,000$	0$	2,200,000$			Lien
Marc-Andre Fleury	G	31	28.11.1984	No	180 Lbs	6 ft2	No	No	2	Pro & Farm	4,800,000$	0$	4,800,000$			Lien
Michael Cammalleri	C/LW	34	08.06.1982	No	190 Lbs	5 ft9	No	No	2	Pro & Farm	4,000,000$	0$	4,000,000$			Lien
Nathan Beaulieu	D	23	05.12.1992 9:13:44	No	194 Lbs	6 ft2	No	No	1	Pro & Farm	1,400,000$	0$				Lien
Nick Foligno	C/LW/RW	28	31.10.1987	No	210 Lbs	6 ft0	No	No	2	Pro & Farm	2,800,000$	0$	2,800,000$			Lien
Patrick Bordeleau	LW/RW	30	23.03.1986	No	225 Lbs	6 ft6	No	No	1	Pro & Farm	500,000$	0$				Lien
Radek Faksa	C/LW	22	09.01.1994 5:20:15	No	210 Lbs	6 ft3	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$			Lien
Ryan Craig	C/LW	34	06.01.1982	No	215 Lbs	6 ft1	No	No	1	Pro & Farm	400,000$	0$				Lien
Zemgus Girgensons	C/LW/RW	22	05.01.1994 9:15:22	No	190 Lbs	6 ft1	No	No	1	Pro & Farm	1,100,000$	0$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	28.78	199 Lbs	6 ft1	1.8260869565217	2,804,348$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Jason Spezza	Nick Foligno	Jordan Eberle	40	0	1	4
2	Bryan Little	Michael Cammalleri	Jarome Iginla	37	0	2	3
3	Zemgus Girgensons	Jesper Fast	Drew Stafford	20	1	2	2
4	Kyle Brodziak	Radek Faksa	J.T. Brown	3	2	3	0

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Johnny Oduya	Jeff Petry	40	0	3	2
2	Jonas Brodin	Nathan Beaulieu	40	0	4	1
3	Andrew MacDonald	Brandon Davidson	20	1	4	0
4	Johnny Oduya	Jeff Petry	0	0	3	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Jason Spezza	Michael Cammalleri	Jordan Eberle	60	0	0	5
2	Bryan Little	Jarome Iginla	Nick Foligno	40	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Johnny Oduya	Nathan Beaulieu	65	0	1	4
2	Jeff Petry	Drew Stafford	35	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Bryan Little	Jesper Fast	50	1	4	0
2	Kyle Brodziak	J.T. Brown	50	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Johnny Oduya	Jeff Petry	50	1	4	0
2	Jonas Brodin	Brandon Davidson	50	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Bryan Little	50	0	5	0	Johnny Oduya	Jeff Petry	50	0	5	0
2	Kyle Brodziak	50	0	5	0	Jonas Brodin	Brandon Davidson	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Spezza	Jordan Eberle	50	0	2	3
2	Bryan Little	Michael Cammalleri	50	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Johnny Oduya	Jeff Petry	50	0	4	1
2	Jonas Brodin	Nathan Beaulieu	50	0	4	1

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Jason Spezza	Michael Cammalleri	Jordan Eberle	Bryan Little	Nathan Beaulieu

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Bryan Little	Jesper Fast	Kyle Brodziak	Johnny Oduya	Jeff Petry

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jason Spezza, Bryan Little, Jordan Eberle	Michael Cammalleri, Jason Spezza	Zemgus Girgensons

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Johnny Oduya, Jeff Petry, Nathan Beaulieu	Jeff Petry	Jeff Petry, Andrew MacDonald

Tirs de Pénalité
Jason Spezza, Jordan Eberle, Michael Cammalleri, Bryan Little, Jarome Iginla

Gardien
#1 : Marc-Andre Fleury, #2 : Devan Dubnyk

Lignes d'Attaque Perso. en Prol.
Nick Foligno, Zemgus Girgensons, Bryan Little, Jason Spezza, Jordan Eberle, Michael Cammalleri, Michael Cammalleri, , Kyle Brodziak, ,

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

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

#	VS Équipe	GP	W	SOL	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	Lightning	1	0	1	1	2	-1	1	0.500	1	2	3	1	0	0	33	12	9	11	4	32	8	6	26	1	0	0.00%	3	1	66.67%	32	67	47.76%	30	58	51.72%	23	39	58.97%	23	15	25	8	16	8
2	Panthers	1	1	0	4	2	2	2	1.000	4	5	9	2	2	0	33	11	9	13	0	44	22	2	19	3	0	0.00%	1	0	100.00%	32	67	47.76%	30	58	51.72%	23	39	58.97%	23	16	22	7	14	7
3	Canucks	1	0	1	2	3	-1	1	0.500	2	3	5	1	1	0	37	15	9	11	5	24	17	2	27	4	1	25.00%	1	0	100.00%	32	67	47.76%	30	58	51.72%	23	39	58.97%	25	16	22	8	16	8
4	Stars	1	1	0	2	1	1	2	1.000	2	4	6	1	0	1	36	7	6	23	0	34	11	2	24	0	0	0.00%	1	0	100.00%	32	67	47.76%	30	58	51.72%	23	39	58.97%	20	13	23	8	15	7
	Vs Conference	2	1	1	4	4	0	3	0.750	4	7	11	2	1	1	73	22	15	34	5	58	28	4	51	4	1	25.00%	2	0	100.00%	32	67	47.76%	30	58	51.72%	23	39	58.97%	46	29	46	16	32	15
	Since Last GM Reset	4	2	2	9	8	1	6	0.750	9	14	23	5	3	1	139	45	33	58	9	134	58	12	96	8	1	12.50%	6	1	83.33%	32	67	47.76%	30	58	51.72%	23	39	58.97%	92	61	94	32	63	31
	Total	4	2	2	9	8	1	6	0.750	9	14	23	5	3	1	139	45	33	58	9	134	58	12	96	8	1	12.50%	6	1	83.33%	32	67	47.76%	30	58	51.72%	23	39	58.97%	92	61	94	32	63	31

			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	6	SOL2	9	14	23	139	134	58	12	96	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	0	0	0	0	2	9	8

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	6	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	0	0	0	0	2	3	5

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	0	0	0	0	2

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
8	1	12.50%	6	1	83.33%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
45	33	58	9	5	3	1	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
32	67	47.76%	30	58	51.72%	23	39	58.97%

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
92	61	94	32	63	31

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!
Fri, Nov 22	@	Panthers2,Oilers4	RECAP
Sat, Nov 23	@	Stars1,Oilers2	RECAP
Tue, Nov 26	@	Oilers1,Lightning2 (SO)	RECAP
Wed, Nov 27	@	Oilers2,Canucks3 (SO)	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6399	3368	4210	1684	1179
Prix des Billets	95	62	40	30	150
Assistance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	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$	16840	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
64,500,000$	14,100,000$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
0$	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$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	15,614,379$	15,614,379$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Nick Foligno	AGE:28	PO:0	OV:70
Michael Cammalleri	AGE:34	PO:0	OV:69
Drew Stafford	AGE:30	PO:0	OV:68
Zemgus Girgensons	AGE:22	PO:0	OV:67
Jesper Fast	AGE:24	PO:0	OV:66
J.T. Brown	AGE:26	PO:0	OV:64
Radek Faksa	AGE:22	PO:0	OV:61
*Devin Shore	AGE:22	PO:0	OV:59
Michael Chaput	AGE:24	PO:0	OV:57
Borna Rendulic	AGE:24	PO:0	OV:55
Ryan Craig	AGE:34	PO:0	OV:55
*Oskar Sundqvist	AGE:22	PO:0	OV:54
Patrick Bordeleau	AGE:30	PO:0	OV:54
*Blake Pietila	AGE:23	PO:0	OV:52
Blair Riley	AGE:30	PO:0	OV:50

Jason Spezza	AGE:33	PO:0	OV:72
Bryan Little	AGE:28	PO:0	OV:71
Nick Foligno	AGE:28	PO:0	OV:70
Michael Cammalleri	AGE:34	PO:0	OV:69
Zemgus Girgensons	AGE:22	PO:0	OV:67
Kyle Brodziak	AGE:32	PO:0	OV:65
Radek Faksa	AGE:22	PO:0	OV:61
*Devin Shore	AGE:22	PO:0	OV:59
Michael Chaput	AGE:24	PO:0	OV:57
Bogdan Yakimov	AGE:22	PO:0	OV:56
Ryan Craig	AGE:34	PO:0	OV:55
*Frederik Gauthier	AGE:21	PO:0	OV:54
*Oskar Sundqvist	AGE:22	PO:0	OV:54
Alex Friesen	AGE:25	PO:0	OV:51
Chris DeSousa	AGE:26	PO:0	OV:49
Kelly Zajac	AGE:28	PO:0	OV:48

Bryan Little	AGE:28	PO:0	OV:71
Jarome Iginla	AGE:39	PO:0	OV:71
Jordan Eberle	AGE:26	PO:0	OV:70
Nick Foligno	AGE:28	PO:0	OV:70
Drew Stafford	AGE:30	PO:0	OV:68
Zemgus Girgensons	AGE:22	PO:0	OV:67
Jesper Fast	AGE:24	PO:0	OV:66
Kyle Brodziak	AGE:32	PO:0	OV:65
J.T. Brown	AGE:26	PO:0	OV:64
Borna Rendulic	AGE:24	PO:0	OV:55
*Oskar Sundqvist	AGE:22	PO:0	OV:54
Patrick Bordeleau	AGE:30	PO:0	OV:54
Ryan Carpenter	AGE:25	PO:0	OV:54
Vinny Saponari	AGE:26	PO:0	OV:53
*Blake Pietila	AGE:23	PO:0	OV:52

Défense #1

Défense #2

Gardien

Johnny Oduya	AGE:35	PO:0	OV:70
Jeff Petry	AGE:28	PO:0	OV:69
Christian Ehrhoff	AGE:34	PO:0	OV:68
Jonas Brodin	AGE:23	PO:0	OV:67
Andrew MacDonald	AGE:30	PO:0	OV:66
Brandon Davidson	AGE:25	PO:0	OV:66
Nathan Beaulieu	AGE:23	PO:0	OV:66
Brian Strait	AGE:28	PO:0	OV:63

Joe Morrow	AGE:23	PO:0	OV:62
Anthony Bitetto	AGE:26	PO:0	OV:61
Jerome Leduc	AGE:24	PO:0	OV:60
Andrey Pedan	AGE:23	PO:0	OV:59
David Shields	AGE:25	PO:0	OV:54
Reid McNeill	AGE:24	PO:0	OV:53
Jesse Blacker	AGE:25	PO:0	OV:51

Marc-Andre Fleury	AGE:31	PO:0	OV:81
Devan Dubnyk	AGE:30	PO:0	OV:80
*Spencer Martin	AGE:21	PO:0	OV:67
*Vitek Vanecek	AGE:20	PO:0	OV:66
*Roman Will	AGE:24	PO:0	OV:61
Kenny Reiter	AGE:29	PO:0	OV:58

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
A.J. Jenks	Oilers
Alex DeBrincat	Oilers	2016	22
Andrew Fritsch	Oilers	2011	147
Anthony Louis	Oilers	2013	206
Benjamin Marshall	Oilers
Brock Beukeboom	Oilers
Cameron Abney	Oilers
Carl Grundstrom	Oilers	2016	82
Carter Ashton	Oilers
Chris Phillips	Oilers
Cody Donaghey	Oilers	2014	133
Colin Sullivan	Oilers	2011	209
Danny ORegan	Oilers	2012	184
David Bernhardt	Oilers	2016	142
Fredrik Bergvik	Oilers	2013	135
James Melindy	Oilers
Joonas Rask	Oilers
Josh Birkholz	Oilers
Mark Owuya	Oilers
Martin Ouellette	Oilers
Maxim Mayorov	Oilers
Nicolas Meloche	Oilers	2015	41
Niklas Tikkinen	Oilers	2012	124
Olivier Roy	Oilers
Petr Zamorsky	Oilers	2014	170
Philippe Hudon	Oilers	2011	151
Saku Maenalanen	Oilers	2013	167
Tim Heed	Oilers
Victor Olofsson	Oilers	2014	140
William Quist	Oilers

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	EDM	EDM	EDM	EDM	EDM	EDM	EDM
2018	EDM	EDM	EDM	EDM	EDM	EDM	EDM
2019	EDM	EDM	EDM	EDM	EDM	EDM	EDM
2020	EDM	EDM	EDM	EDM	EDM	EDM	EDM
2021	EDM	EDM	EDM	EDM	EDM	EDM	EDM

[12.09.2016 4:56:50] - Johnny Oduya was added to Oilers.
[12.09.2016 4:56:50] - Johnny Oduya signed with Oilers for 5 200 000 Kč for 2 year(s) with 0 Kč in bonus.
[19.09.2016 5:38:11] - Oilers drafts Carl Grundstrom as the #82 overall pick in the Entry Draft of year 2016.
[24.09.2016 5:56:31] - Barons hired Kirk Muller for 100 000 Kč for 5 year(s).
[02.10.2016 7:09:43] - Christian Ehrhoff was added to Oilers.
[02.10.2016 7:09:43] - Christian Ehrhoff signed with Oilers for 1 500 000 Kč for 2 year(s) with 0 Kč in bonus.
[02.10.2016 7:15:25] - Oilers drafts David Bernhardt as the #142 overall pick in the Entry Draft of year 2016.
[02.10.2016 7:17:55] - TRADE : From Lightning to Oilers : 4 000 000 Kč (Money).
[02.10.2016 7:17:55] - TRADE : From Oilers to Lightning : Y:2016-RND:6-EDM.
[15.10.2016 7:40:59] - Kelly Zajac was added to Oilers.
[15.10.2016 7:40:59] - Kelly Zajac signed with Oilers for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 7:42:02] - Chris DeSousa was added to Oilers.
[15.10.2016 7:42:02] - Chris DeSousa signed with Oilers for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 22:15:43] - Unknown Player is no longer as assistant for Oilers.
[15.10.2016 22:15:43] - Jarome Iginla has been selected as assistant for Oilers.
[15.10.2016 22:15:43] - Unknown Player is no longer as assistant for Oilers.
[15.10.2016 22:15:43] - Jordan Eberle has been selected as assistant for Oilers.
[15.10.2016 22:32:20] - Ryan Carpenter was added to Oilers.
[15.10.2016 22:32:20] - Ryan Carpenter signed with Oilers for 600 000 Kč for 1 year(s) with 0 Kč in bonus.
[17.10.2016 21:17:46] - Jerome Leduc was added to Oilers.
[17.10.2016 21:17:46] - Reid McNeill was added to Oilers.
[17.10.2016 21:17:47] - TRADE : From Lightning to Oilers : Jerome Leduc (59), Reid McNeill (52).
[21.10.2016 4:38:37] - Ryan Craig was added to Oilers.
[21.10.2016 4:38:37] - Ryan Craig signed with Oilers for 400 000 Kč for 1 year(s) with 0 Kč in bonus.
[21.10.2016 4:38:54] - Patrick Bordeleau was added to Oilers.
[21.10.2016 4:38:54] - Patrick Bordeleau signed with Oilers for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[21.10.2016 4:39:29] - Kenny Reiter was added to Oilers.
[21.10.2016 4:39:29] - Kenny Reiter signed with Oilers for 500 000 Kč for 1 year(s) with 0 Kč in bonus.

David Shields est suspendu pour 1 plusieurs matchs.

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