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	85	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	85	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	85	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	85	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	85	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	85	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	85	68	0
8	Pascal Dupuis		X	X		100.00	70	45	79	76	81	82	67	64	68	40	43	73	63	93	98	0	86	67	0
9	Zemgus Girgensons	X	X	X		100.00	75	45	88	83	83	82	76	70	68	44	44	68	50	62	62	0	85	67	0
10	Jesper Fast		X	X		100.00	72	44	95	83	62	81	85	66	61	46	44	73	50	60	62	0	84	66	0
11	Kyle Brodziak	X		X		100.00	64	53	81	73	75	73	86	66	86	40	43	73	50	77	79	0	85	65	0
12	Pierre-Alexandre Parenteau			X		100.00	64	42	79	68	66	85	73	81	59	47	49	61	81	59	60	0	85	64	0
13	Brian Campbell				X	100.00	67	43	85	87	82	88	97	79	25	48	41	77	50	93	98	0	84	74	0
14	Johnny Oduya				X	100.00	71	43	85	79	78	82	94	66	25	45	40	80	50	88	88	0	85	70	0
15	Jeff Petry				X	100.00	77	42	86	84	70	86	82	77	25	44	42	78	50	68	69	0	85	69	0
16	Jonas Brodin				X	100.00	68	42	87	86	68	82	87	68	25	41	39	79	50	75	67	0	85	67	0
17	Andrew MacDonald				X	100.00	66	42	89	73	72	83	81	69	25	43	40	76	50	69	70	0	85	66	0
18	Nathan Beaulieu				X	100.00	71	74	75	81	69	76	85	72	25	46	39	74	50	65	61	0	86	66	0
Rayé
1	J.T. Brown		X	X		100.00	70	85	79	78	71	77	74	66	60	44	42	71	50	62	64	0	61	64	0
2	Radek Faksa	X	X			100.00	65	44	67	70	86	74	69	66	87	41	41	67	50	48	48	0	78	61	0
3	Brandon Davidson				X	100.00	75	45	85	81	75	80	76	71	25	41	42	78	50	51	51	0	25	66	0

	MOYENNE D'ÉQUIPE					100.00	68	49	84	80	74	83	82	74	56	46	45	70	56	73	74	0	81	68

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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	85	81	0
2	Devan Dubnyk	100.00	81	96	91	93	78	79	79	79	82	76	75	79	78	0	85	80	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	80	93	87	92	80	78	79	80	81	78	78	78	85	0	85	81

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	PKA	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20
1	Michael Cammalleri	Oilers		C/LW	26	13	17	30	7	6	0	26	83	17	48	15.66%	5	19.:.47	5	6	11	0	0	0	5	0	43.33%	30	63	9	0	0	1.17
2	Bryan Little	Oilers		C/RW	26	13	16	29	8	2	0	39	72	26	67	18.06%	12	21.:.34	4	8	12	0	0	36	2	1	50.31%	479	45	11	0	0	1.03
3	Jordan Eberle	Oilers		RW	26	12	10	22	7	0	0	20	84	15	41	14.29%	8	19.:.49	4	3	7	0	0	0	3	2	40.00%	30	64	5	0	0	0.85
4	Jason Spezza	Oilers		C	26	12	9	21	3	2	0	13	85	20	53	14.12%	16	19.:.02	4	3	7	0	0	0	3	2	52.86%	367	46	4	0	0	0.85
5	Jarome Iginla	Oilers		RW	26	8	12	20	3	8	0	46	55	26	45	14.55%	9	18.:.58	1	5	6	0	0	0	2	0	40.00%	15	52	6	0	0	0.81
6	Brian Campbell	Oilers		D	26	1	11	12	9	10	0	30	52	21	27	1.92%	56	23.:.56	0	3	3	0	0	11	0	0	0.00%	0	12	37	0	0	0.39
7	Nick Foligno	Oilers		C/LW/RW	26	3	9	12	3	4	0	85	62	32	39	4.84%	6	19.:.10	3	1	4	0	0	5	0	0	36.67%	30	44	7	0	0	0.48
8	Johnny Oduya	Oilers		D	26	2	6	8	7	4	0	38	54	25	27	3.70%	48	25.:.15	0	1	1	0	0	44	0	0	0.00%	0	7	54	0	0	0.24
9	Jonas Brodin	Oilers		D	26	1	5	6	-9	6	0	45	38	24	24	2.63%	43	21.:.51	0	0	0	0	0	27	0	1	0.00%	0	8	52	0	0	0.21
10	Drew Stafford	Oilers		LW/RW	26	2	2	4	-8	8	0	27	54	19	44	3.70%	12	14.:.48	0	0	0	0	0	0	1	0	50.00%	10	55	7	0	0	0.21
11	Jeff Petry	Oilers		D	23	0	4	4	-9	8	0	36	45	17	20	0.00%	38	22.:.17	0	0	0	0	0	34	0	0	0.00%	0	9	31	0	0	0.16
12	Kyle Brodziak	Oilers		C/RW	26	0	3	3	-8	6	0	29	30	11	22	0.00%	18	14.:.37	0	0	0	0	0	34	0	0	50.60%	251	9	14	0	0	0.16
13	Andrew MacDonald	Oilers		D	26	0	3	3	1	0	0	17	28	11	15	0.00%	31	16.:.05	0	0	0	0	0	29	0	0	0.00%	0	1	24	0	0	0.14
14	Pierre-Alexandre Parenteau	Oilers		RW	26	2	1	3	-8	12	0	32	66	21	36	3.03%	4	13.:.00	0	0	0	0	0	0	0	0	40.00%	10	31	3	0	0	0.18
15	Nathan Beaulieu	Oilers		D	26	0	3	3	0	12	0	43	26	12	11	0.00%	33	17.:.21	0	1	1	0	0	0	0	0	0.00%	0	3	25	0	0	0.13
16	Brandon Davidson	Oilers		D	3	0	1	1	0	0	0	6	5	1	1	0.00%	5	16.:.43	0	0	0	0	0	4	0	0	0.00%	0	1	5	0	0	0.40
17	Jesper Fast	Oilers		LW/RW	26	0	0	0	-3	0	0	18	36	10	30	0.00%	3	10.:.31	0	0	0	0	0	37	0	0	38.46%	13	31	5	0	0	0.00
18	Pascal Dupuis	Oilers		LW/RW	26	0	0	0	-4	0	0	26	16	5	14	0.00%	12	10.:.40	0	0	0	0	0	37	0	0	50.00%	8	11	5	0	0	0.00
19	Zemgus Girgensons	Oilers		C/LW/RW	26	0	0	0	-4	0	0	27	25	10	26	0.00%	3	08.:.50	0	0	0	0	0	0	0	0	40.00%	115	45	3	0	0	0.00
Stats d'équipe Total ou en Moyenne			468	69	112	181	-5	88	0	603	596	916	323	590	7.53%	362	8243	17.61	21	31	52	100	591	0	0	10	303	16	6	49.19%	1358	537	307	0.44	0	0	0	0	0	11	12	17

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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	Marc-Andre Fleury	Oilers	13	9	3	1	93.9%	1.94	835	0	0	27	440	265	1	1	0.0%	0	13	13	2	4	0
2	Devan Dubnyk	Oilers	13	7	3	3	93.5%	2.18	827	0	1	30	460	275	1	0	0.0%	0	13	13	1	1	1
Stats d'équipe Total ou en Moyenne		26	16	6	4	0.937	2.06	1662	0	1	57	900	540	2	1	0.000	0	26	26	3	5	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	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Andrew MacDonald	Oilers	D	30	7.9.1986	No	204 Lbs	6 ft2	No	No	1	Sans Restriction	Pro & Farm	2,400,000$				Lien
Brandon Davidson	Oilers	D	25	21.8.1991 9:11:13	No	210 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	900,000$				Lien
Brian Campbell	Oilers	D	38	23.5.1979	No	192 Lbs	5 ft10	No	No	2	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$			Lien
Bryan Little	Oilers	C/RW	29	12.11.1987	No	189 Lbs	5 ft11	No	No	2	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$			Lien
Devan Dubnyk	Oilers	G	31	4.4.1986	No	210 Lbs	6 ft6	No	No	4	Sans Restriction	Pro & Farm	4,900,000$	4,900,000$	4,900,000$	4,900,000$	Lien
Drew Stafford	Oilers	LW/RW	31	30.10.1985	No	214 Lbs	6 ft2	No	No	3	Sans Restriction	Pro & Farm	3,300,000$	3,300,000$	3,300,000$		Lien
J.T. Brown	Oilers	LW/RW	26	2.7.1990 1:17:10	No	172 Lbs	5 ft10	No	No	1	Avec Restriction	Pro Only	1,200,000$				Lien
Jarome Iginla	Oilers	RW	39	1.7.1977	No	210 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	4,400,000$	4,400,000$			Lien
Jason Spezza	Oilers	C	33	13.6.1983	No	220 Lbs	6 ft3	No	No	2	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$			Lien
Jeff Petry	Oilers	D	29	9.12.1987	No	198 Lbs	6 ft3	No	No	1	Sans Restriction	Pro & Farm	3,000,000$				Lien
Jesper Fast (Contrat à 1 Volet)	Oilers	LW/RW	25	2.12.1991 1:21:53	No	185 Lbs	6 ft0	No	No	2	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$			Lien
Johnny Oduya	Oilers	D	35	1.10.1981	No	188 Lbs	6 ft0	Yes	No	2	Sans Restriction	Pro & Farm	5,200,000$	5,200,000$			Lien
Jonas Brodin	Oilers	D	23	12.7.1993 4:25:26	No	194 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	2,400,000$	2,400,000$			Lien
Jordan Eberle	Oilers	RW	27	15.5.1990	No	183 Lbs	5 ft11	Yes	No	4	Sans Restriction	Pro & Farm	5,400,000$	5,400,000$	5,400,000$	5,400,000$	Lien
Kyle Brodziak	Oilers	C/RW	33	25.5.1984	No	212 Lbs	6 ft2	No	No	2	Sans Restriction	Pro & Farm	2,200,000$	2,200,000$			Lien
Marc-Andre Fleury	Oilers	G	32	28.11.1984	No	180 Lbs	6 ft2	No	No	2	Sans Restriction	Pro & Farm	4,800,000$	4,800,000$			Lien
Michael Cammalleri	Oilers	C/LW	34	8.6.1982	No	190 Lbs	5 ft9	No	No	2	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$			Lien
Nathan Beaulieu	Oilers	D	24	5.12.1992 9:13:44	No	194 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	1,400,000$				Lien
Nick Foligno	Oilers	C/LW/RW	29	31.10.1987	No	210 Lbs	6 ft0	No	No	2	Sans Restriction	Pro & Farm	2,800,000$	2,800,000$			Lien
Pascal Dupuis	Oilers	LW/RW	38	7.4.1979	No	205 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	2,800,000$	2,800,000$			Lien
Pierre-Alexandre Parenteau	Oilers	RW	34	24.3.1983	No	197 Lbs	6 ft0	No	No	1	Sans Restriction	Pro & Farm	3,800,000$				Lien
Radek Faksa	Oilers	C/LW	23	9.1.1994 5:20:15	No	210 Lbs	6 ft3	No	No	2	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$			Lien
Zemgus Girgensons	Oilers	C/LW/RW	23	5.1.1994 9:15:22	No	190 Lbs	6 ft1	No	No	1	Avec Restriction	Pro & Farm	1,100,000$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	30.04	198 Lbs	6 ft1	1.91	3,247,826$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Michael Cammalleri	Bryan Little	Jordan Eberle	40	0	1	4
2	Nick Foligno	Jason Spezza	Jarome Iginla	38	0	2	3
3	Drew Stafford	Kyle Brodziak	Pierre-Alexandre Parenteau	20	1	2	2
4	Jesper Fast	Zemgus Girgensons	Pascal Dupuis	2	1	3	1

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

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

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Johnny Oduya	Brian Campbell	60	0	1	4
2	Drew Stafford	Nathan Beaulieu	40	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	Pascal Dupuis	50	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Johnny Oduya	Jeff Petry	60	1	4	0
2	Andrew MacDonald	Jonas Brodin	40	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	55	0	5	0
2	Kyle Brodziak	50	0	5	0	Andrew MacDonald	Jonas Brodin	45	0	5	0

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

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

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Michael Cammalleri	Bryan Little	Jordan Eberle	Johnny Oduya	Brian Campbell

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Pascal Dupuis	Bryan Little	Kyle Brodziak	Johnny Oduya	Jeff Petry

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Bryan Little, Jason Spezza, Jordan Eberle	Michael Cammalleri, Jason Spezza	Nick Foligno

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Johnny Oduya, Brian Campbell, Jeff Petry	Brian Campbell	Brian Campbell, Andrew MacDonald

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

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

Lignes d'Attaque Perso. en Prol.
, , Bryan Little, , Jordan Eberle, , , , 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	L	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%	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	Capitals	7	4	3	13	12	1	8	0.571	13	22	35	0	0	6	4	2	1	240	92	59	77	12	225	102	26	180	21	4	19.05%	13	3	76.92%	247	538	45.91%	256	506	50.59%	165	314	52.55%	170	112	170	58	112	55
2	Blackhawks	6	4	2	19	15	4	8	0.667	19	29	48	0	0	8	8	2	1	211	94	61	55	1	219	79	16	119	14	5	35.71%	8	1	87.50%	247	538	45.91%	256	506	50.59%	165	314	52.55%	130	86	144	43	84	43
3	Flames	6	4	2	15	10	5	8	0.667	15	23	38	0	1	6	5	4	0	195	64	68	61	2	194	73	22	139	14	6	42.86%	11	2	81.82%	247	538	45.91%	256	506	50.59%	165	314	52.55%	135	88	135	46	90	45
4	Kings	7	4	3	22	21	1	8	0.571	22	38	60	1	0	11	5	4	2	270	100	63	62	45	263	108	24	165	25	6	24.00%	12	3	75.00%	247	538	45.91%	256	506	50.59%	165	314	52.55%	185	124	186	62	117	57
	Vs Division	12	8	4	34	25	9	16	0.667	34	52	86	0	1	14	13	6	1	406	158	129	116	3	413	152	38	258	28	11	39.29%	19	3	84.21%	247	538	45.91%	256	506	50.59%	165	314	52.55%	266	175	280	89	175	88
	Vs Conference	19	12	7	56	46	10	24	0.632	56	90	146	1	1	25	18	10	3	676	258	192	178	48	676	260	62	423	53	17	32.08%	31	6	80.65%	247	538	45.91%	256	506	50.59%	165	314	52.55%	451	299	466	151	292	146
	Since Last GM Reset	26	16	10	69	58	11	32	0.615	69	112	181	1	1	31	22	12	4	916	350	251	255	60	901	362	88	603	74	21	28.38%	44	9	79.55%	247	538	45.91%	256	506	50.59%	165	314	52.55%	621	412	637	210	405	201
	Total	26	16	10	69	58	11	32	0.615	69	112	181	1	1	31	22	12	4	916	350	251	255	60	901	362	88	603	74	21	28.38%	44	9	79.55%	247	538	45.91%	256	506	50.59%	165	314	52.55%	621	412	637	210	405	201

			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
26	32	W1	69	112	181	916	901	362	88	603	1	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	16	10	0	0	0	0	69	58

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	8	4	0	0	0	0	31	26

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	8	6	0	0	0	0	38	32

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	2	3	2	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
74	21	28.38%	44	9	79.55%	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
350	251	255	60	31	22	12	4

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
247	538	45.91%	256	506	50.59%	165	314	52.55%

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
621	412	637	210	405	201

Derniers Match Joués

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
Sat, Nov 23	@	Oilers4,Flames0	RECAP
Mon, Nov 25	@	Oilers3,Flames1	RECAP
Wed, Nov 27	@	Flames2,Oilers1 (OT)	RECAP
Fri, Nov 29	@	Flames4,Oilers2	RECAP
Sun, Dec 1	@	Oilers3,Flames2	RECAP
Tue, Dec 3	@	Flames1,Oilers2	RECAP
Sat, Dec 7	@	Blackhawks2,Oilers3 (OT)	RECAP
Mon, Dec 9	@	Blackhawks1,Oilers3	RECAP
Wed, Dec 11	@	Oilers1,Blackhawks2	RECAP
Fri, Dec 13	@	Oilers5,Blackhawks6	RECAP
Sun, Dec 15	@	Blackhawks2,Oilers3	RECAP
Tue, Dec 17	@	Oilers4,Blackhawks2	RECAP
Sat, Dec 21	@	Oilers4,Kings5 (OT)	RECAP
Mon, Dec 23	@	Oilers2,Kings1	RECAP
Wed, Dec 25	@	Kings4,Oilers2	RECAP
Fri, Dec 27	@	Kings2,Oilers5	RECAP
Sun, Dec 29	@	Oilers2,Kings4	RECAP
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Tue, Dec 31	@	Kings2,Oilers3 (OT)	RECAP
Thu, Jan 2	@	Oilers4,Kings3 (OT)	RECAP
Fri, Jan 3	@	Oilers2,Capitals1	RECAP
Sat, Jan 4	@	Oilers1,Capitals2 (OT)	RECAP
Sun, Jan 5	@	Capitals2,Oilers3	RECAP
Mon, Jan 6	@	Capitals2,Oilers1	RECAP
Tue, Jan 7	@	Oilers1,Capitals2 (OT)	RECAP
Wed, Jan 8	@	Capitals2,Oilers3 (OT)	RECAP
Thu, Jan 9	@	Oilers2,Capitals1	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	130	84	52	36	250
Assistance	75881	39465	49186	19562	14071
Attendance PCT	98.82%	97.65%	97.36%	96.80%	99.46%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
29	16514 - 98.06%	2,189,899$	26,278,784$	16840	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
74,700,000$	12,700,000$	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$	26,590,767$	26,590,767$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Nick Foligno	AGE:29	PO:0	OV:70
Michael Cammalleri	AGE:34	PO:0	OV:69
Drew Stafford	AGE:31	PO:0	OV:68
Pascal Dupuis	AGE:38	PO:0	OV:67
Zemgus Girgensons	AGE:23	PO:0	OV:67
Jesper Fast	AGE:25	PO:0	OV:66
J.T. Brown	AGE:26	PO:0	OV:64
Radek Faksa	AGE:23	PO:0	OV:61
*Devin Shore	AGE:22	PO:0	OV:59
Michael Chaput	AGE:25	PO:0	OV:57
Borna Rendulic	AGE:25	PO:0	OV:55
Ryan Craig	AGE:35	PO:0	OV:55
*Oskar Sundqvist	AGE:23	PO:0	OV:54
Patrick Bordeleau	AGE:31	PO:0	OV:54
*Blake Pietila	AGE:24	PO:0	OV:52
Blair Riley	AGE:31	PO:0	OV:50

Jason Spezza	AGE:33	PO:0	OV:72
Bryan Little	AGE:29	PO:0	OV:71
Nick Foligno	AGE:29	PO:0	OV:70
Michael Cammalleri	AGE:34	PO:0	OV:69
Zemgus Girgensons	AGE:23	PO:0	OV:67
Kyle Brodziak	AGE:33	PO:0	OV:65
Radek Faksa	AGE:23	PO:0	OV:61
*Devin Shore	AGE:22	PO:0	OV:59
Michael Chaput	AGE:25	PO:0	OV:57
Bogdan Yakimov	AGE:22	PO:0	OV:56
Ryan Craig	AGE:35	PO:0	OV:55
*Frederik Gauthier	AGE:22	PO:0	OV:54
*Oskar Sundqvist	AGE:23	PO:0	OV:54
Alex Friesen	AGE:26	PO:0	OV:51
Chris DeSousa	AGE:26	PO:0	OV:49
Kelly Zajac	AGE:28	PO:0	OV:48

Bryan Little	AGE:29	PO:0	OV:71
Jarome Iginla	AGE:39	PO:0	OV:71
Jordan Eberle	AGE:27	PO:0	OV:70
Nick Foligno	AGE:29	PO:0	OV:70
Drew Stafford	AGE:31	PO:0	OV:68
Pascal Dupuis	AGE:38	PO:0	OV:67
Zemgus Girgensons	AGE:23	PO:0	OV:67
Jesper Fast	AGE:25	PO:0	OV:66
Kyle Brodziak	AGE:33	PO:0	OV:65
Pierre-Alexandre Parenteau	AGE:34	PO:0	OV:64
J.T. Brown	AGE:26	PO:0	OV:64
Borna Rendulic	AGE:25	PO:0	OV:55
*Oskar Sundqvist	AGE:23	PO:0	OV:54
Patrick Bordeleau	AGE:31	PO:0	OV:54
Ryan Carpenter	AGE:26	PO:0	OV:54
Vinny Saponari	AGE:27	PO:0	OV:53
*Blake Pietila	AGE:24	PO:0	OV:52

Défense #1

Défense #2

Gardien

Brian Campbell	AGE:38	PO:0	OV:74
Johnny Oduya	AGE:35	PO:0	OV:70
Jeff Petry	AGE:29	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:24	PO:0	OV:66

Taylor Chorney	AGE:30	PO:0	OV:62
Joe Morrow	AGE:24	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:26	PO:0	OV:54
Reid McNeill	AGE:25	PO:0	OV:53
Jesse Blacker	AGE:25	PO:0	OV:51

Marc-Andre Fleury	AGE:32	PO:0	OV:81
Devan Dubnyk	AGE:31	PO:0	OV:80
*Spencer Martin	AGE:21	PO:0	OV:67
*Vitek Vanecek	AGE:21	PO:0	OV:66
*Roman Will	AGE:25	PO:0	OV:61
Kenny Reiter	AGE:30	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
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

[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.
[6.2.2017 21:30:25] - Taylor Chorney was added to Oilers.
[6.2.2017 21:30:26] - TRADE : From Lightning to Oilers : Taylor Chorney (62), 2 000 000 Kč (Money).
[6.2.2017 21:30:26] - TRADE : From Oilers to Lightning : Brian Strait (63).
[9.2.2017 6:22:21] - Brian Campbell was added to Oilers.
[9.2.2017 6:22:22] - TRADE : From Oilers to Devils : Y:2017-RND:3-EDM.
[9.2.2017 6:22:22] - TRADE : From Devils to Oilers : Brian Campbell (74).
[21.2.2017 21:49:37] - Pascal Dupuis was added to Oilers.
[21.2.2017 21:49:39] - TRADE : From Oilers to Lightning : Y:2017-RND:6-EDM.
[21.2.2017 21:49:39] - TRADE : From Lightning to Oilers : Pascal Dupuis (67), 4 500 000 Kč (Money).
[26.2.2017 22:47:25] - Pierre-Alexandre Parenteau was added to Oilers.
[26.2.2017 22:47:26] - TRADE : From Islanders to Oilers : Pierre-Alexandre Parenteau (64).
[26.2.2017 22:47:26] - TRADE : From Oilers to Islanders : Y:2017-RND:5-EDM.
[12.5.2017 21:31:37] - Barons was eliminated at round 3 of year 2016.
[26.5.2017 20:41:50] - Oilers are the Playoffs Champions for year 2016!

Pas de Blessure ou de Suspension.

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