Canadian Hockey League

BaronsOKC
Accueil
Formation
Pointeurs
Contrats
Trios
Stats Équipe
Calendrier
Charte
Carrière

Centre de jeu
	Oilers 9-7-2, 20pts	3	FINAL	0	Sabres 13-5-1, 27pts

Team Stats
W4	Streak	W2
4-5-1	Home Record	7-3-0
5-2-1	Away Record	6-2-1
6-3-1	Last 10 Games	8-2-0
2.72	Goals Per Game	3.32
2.39	Goals Against Per Game	2.58
12.90%	Power Play Percentage	14.68%
80.41%	Penalty Kill Percentage	88.00%

Oilers
9-7-2, 20pts

FINAL

BlueJackets
10-7-2, 22pts

Team Stats
W4	Streak	L1
4-5-1	Home Record	2-4-2
5-2-1	Away Record	8-3-0
6-3-1	Last 10 Games	5-4-1
2.72	Goals Per Game	3.11
2.39	Goals Against Per Game	3.16
12.90%	Power Play Percentage	14.61%
80.41%	Penalty Kill Percentage	86.73%

Oilers
9-7-2, 20pts

Jour 38

Senators
7-9-2, 16pts

Stats Équipe
W4	Séquence	L3
4-5-1	Fiche domicile	3-3-2
5-2-1	Fiche visiteur	4-6-0
6-3-1	10 derniers matchs	4-5-1
2.72	Buts par match	2.72
2.39	Buts contre par match	3.61
12.90%	Pourcentage en avantage numérique	20.55%
80.41%	Pourcentage en désavantage numérique	80.68%

Oilers
9-7-2, 20pts

Jour 39

MapleLeafs
11-5-2, 24pts

Stats Équipe
W4	Séquence	L4
4-5-1	Fiche domicile	6-2-0
5-2-1	Fiche visiteur	5-3-2
6-3-1	10 derniers matchs	5-4-1
2.72	Buts par match	4.22
2.39	Buts contre par match	3.89
12.90%	Pourcentage en avantage numérique	27.59%
80.41%	Pourcentage en désavantage numérique	82.52%

Oilers
9-7-2, 20pts

Jour 41

Predators
9-7-0, 18pts

Stats Équipe
W4	Séquence	W1
4-5-1	Fiche domicile	3-4-0
5-2-1	Fiche visiteur	6-3-0
6-3-1	10 derniers matchs	5-5-0
2.72	Buts par match	4.31
2.39	Buts contre par match	4.19
12.90%	Pourcentage en avantage numérique	20.73%
80.41%	Pourcentage en désavantage numérique	79.01%

Meneurs d'équipe
	Buts Marco Rossi 6	Passes Joshua Morrissey 8

	Points Marco Rossi 13	Plus/Moins Mavrik Bourque 9

	Victoires Andrei Vasilevskiy 9	Pourcentage d’arrêts Andrei Vasilevskiy 0.92

Stats Équipe
Buts pour 49 2.72 GFG	Tirs pour 607 33.72 Avg	Pourcentage en avantage numérique 12.9% 12 GF	Début de zone offensive 43.9%
Buts contre 43 2.39 GAA	Tirs contre 529 29.39 Avg	Pourcentage en désavantage numérique 80.4% 19 GA	Début de la zone défensive 40.6%

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Martin Paradis
	Entraîneur	Kris Knoblauch
	Division	Pacific
	Conférence	Western
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Rexall Place
	Capacité	25,000
	Assistance	23,200
	Billets de saison	10,000
Information formation
	Équipe Pro	21
	Équipe Mineure	29
	Limite contact	50 / 50
	Espoirs	25
Plafond salarial
	Cap Salarial de la Saison estimé	83,200,088$
	Plafond salarial disponible	6,799,912$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	18,668,605$
	Dépenses annuelles à ce jour	18,497,314$
	Revenus de la saison estimés	57,872,676$
	Dépenses de la saison estimées	66,202,602$
	Compte bancaire actuel	157,737,409$
	Compte bancaire projeté	145,431,225$
Historique d'équipe
	Saison actuelle	9-7-2 (20PTS)
	Historique	695-826-126 (0.422%)
	Apparitions séries éliminatoires	6
	Historique séries éliminatoires (W-L)	28-27
	Stanley Cup	1

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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Tim Stutzle			X		100.00	77	46	79	94	57	87	99	85	83	95	74	72	87	68	78	80	27	78	0	23	7	1$
2	Brady Tkachuk		X			100.00	99	73	56	84	82	85	92	76	86	70	83	71	53	74	80	65	29	75	0	26	5	8,000,000$
3	Bo Horvat	X				100.00	69	53	86	86	71	89	98	74	93	69	78	74	72	82	86	45	27	74	0	30	1	9,000,000$
4	Timo Meier			X		100.00	81	59	76	85	73	84	98	72	40	68	77	75	67	80	82	50	29	73	0	29	4	5,750,000$
5	Marco Rossi	X				100.00	58	41	84	91	46	85	99	75	82	76	74	70	40	70	78	75	27	72	0	24	2	5,500,000$
6	Adam Lowry	X				100.00	85	67	82	78	76	80	93	64	87	60	68	82	40	86	83	35	27	71	0	32	1	3,500,000$
7	Jake DeBrusk		X			100.00	67	49	86	84	62	82	99	69	40	60	78	66	75	80	81	50	27	70	0	29	1	4,000,000$
8	Matthew Peca			X		100.00	65	41	85	85	47	77	67	63	70	59	67	70	65	86	82	35	27	66	0	32	3	575,000$
9	Nathan Walker	X				100.00	99	56	73	80	49	75	93	54	88	49	59	70	40	84	80	40	27	65	0	31	2	575,000$
10	Mason Appleton		X			100.00	65	49	84	79	62	79	92	58	40	54	62	67	40	80	80	50	31	65	0	29	4	2,400,000$
11	Mavrik Bourque			X		100.00	55	43	88	82	50	76	93	59	81	56	62	70	40	68	72	80	28	64	0	23	1	925,000$
12	Isac Lundestrom		X			100.00	54	46	87	78	57	77	97	53	82	51	54	76	40	74	76	65	27	63	0	26	1	1,500,000$
13	Mikhail Sergachev				X	100.00	59	54	82	86	73	92	96	77	40	80	74	85	73	76	84	60	27	77	0	27	2	6,600,000$
14	Joshua Morrissey				X	100.00	54	47	85	91	59	90	98	80	40	89	72	78	40	82	86	45	27	76	0	30	5	9,000,000$
15	Jacob Trouba				X	100.00	90	65	73	75	73	84	96	53	40	54	52	85	40	84	84	40	27	73	0	31	3	5,000,000$
16	Nick Seeler				X	100.00	78	56	81	77	66	79	96	56	40	58	55	87	40	86	83	35	27	73	0	32	3	3,500,000$
17	Simon Benoit				X	100.00	99	63	75	75	75	77	96	51	40	49	52	75	40	76	77	60	27	70	0	27	3	1,600,000$
18	Sean Durzi				X	100.00	52	55	77	82	61	84	64	63	40	59	66	79	40	76	80	60	27	68	0	27	3	5,000,000$
Rayé
1	Ryan Carpenter	X				100.00	58	49	86	76	63	81	71	53	70	54	52	56	40	90	86	25	20	61	0	34	2	575,000$
Équipe Mineure
1	Brock McGinn		X			100.00	95	46	90	80	57	74	61	58	40	53	63	81	84	84	79	40	24	66	0	31	3	2,000,000$
2	Charles Hudon		X			100.00	79	44	73	85	51	76	66	64	40	70	54	70	40	84	80	40	24	65	0	31	3	575,000$
3	Mattias Janmark	X				100.00	53	52	85	76	68	77	98	54	76	56	52	71	40	88	83	30	24	64	0	33	3	2,000,000$
4	Craig Smith	X				100.00	62	50	78	79	65	74	83	58	40	53	63	68	64	94	84	15	24	64	0	36	3	2,000,000$
5	Kevin Labanc			X		100.00	60	44	83	82	52	72	66	59	40	64	55	67	81	82	77	45	24	63	0	30	3	975,000$
6	Samuel Poulin	X				100.00	63	54	78	76	72	66	56	56	70	55	57	70	40	70	68	75	24	61	0	24	3	2,000,000$
7	Zach Sanford		X			100.00	59	54	73	75	71	79	69	50	40	48	52	66	73	84	82	40	24	60	0	31	2	575,000$
8	Pierre-Edouard Bellemare		X			100.00	52	47	87	77	58	60	50	52	89	46	58	67	40	99	80	0	24	59	0	40	1	2,000,000$
9	Nail Yakupov			X		100.00	81	46	83	77	57	60	50	50	40	52	47	50	40	86	73	35	24	56	0	32	1	2,000,000$
10	Caedan Bankier	X				100.00	55	48	79	75	61	77	67	41	70	37	44	50	40	66	72	85	24	53	0	22	2	925,000$
11	Philippe Myers				X	100.00	89	64	82	75	81	77	68	52	40	47	57	73	40	78	78	55	24	68	0	28	2	575,000$
12	Urho Vaakanainen				X	100.00	49	52	83	78	68	77	78	59	40	63	55	70	40	74	76	65	24	66	0	26	3	1,000,000$
13	Erik Gustafsson				X	100.00	51	47	83	80	58	77	84	58	40	62	54	62	40	88	83	30	24	65	0	33	3	2,000,000$
14	Marc-Edouard Vlasic				X	100.00	43	51	89	75	66	74	62	50	40	46	55	71	40	98	86	5	24	63	0	38	2	1,000,000$
15	Nikita Okhotyuk				X	100.00	99	48	72	76	61	55	50	52	40	53	52	70	40	72	64	70	24	63	0	25	3	2,000,000$
16	Scott Perunovich				X	100.00	50	40	84	82	45	77	67	57	40	56	57	69	40	76	77	60	24	63	0	27	3	2,000,000$
17	Kevin Korchinski				X	100.00	43	46	80	76	56	78	54	51	40	45	58	66	40	64	71	90	24	60	0	21	2	925,000$
18	Tyson Kozak	X				100.00	69	44	88	80	52	72	57	55	81	48	62	71	40	68	70	80	20	61	0	23	1	925,000$
19	Noah Laba (R)		X			100.00	66	51	79	85	61	60	50	44	40	35	52	63	40	66	63	85	20	55	0	22	3	925,000$
20	Sandis Vilmanis (R)		X			100.00	64	47	86	86	59	70	60	43	40	44	42	55	40	64	67	90	20	55	0	21	3	925,000$
21	Matthew Maggio		X			100.00	55	56	79	75	53	69	59	38	40	36	40	50	73	68	69	80	20	51	0	23	2	925,000$
22	Sam Lipkin (R)		X			100.00	58	47	80	86	53	65	55	36	40	27	45	52	40	66	66	85	20	51	0	22	3	925,000$
23	Ryan Hofer			X		100.00	57	51	84	75	63	60	50	33	40	28	38	65	40	68	64	80	20	50	0	23	2	925,000$
24	Fabian Wagner (R)		X			100.00	54	43	84	89	49	60	50	36	40	28	43	51	40	64	62	90	20	50	0	21	3	925,000$
25	Kale Clague				X	100.00	57	46	81	77	56	73	68	51	40	54	48	63	40	76	75	60	20	61	0	27	3	575,000$
26	Michael Buchinger (R)				X	100.00	62	50	77	86	57	55	50	33	40	31	35	50	40	64	60	90	20	53	0	21	3	925,000$

	MOYENNE D’ÉQUIPE					100.00	66	51	81	81	61	75	75	56	54	54	58	68	49	78	77	56	25	64

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 gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Andrei Vasilevskiy	100.00	94	99	99	99	94	94	94	93	92	91	99	84	89	40	28	91	0	31	5	8,500,000$
2	Antoine Bibeau	100.00	75	50	60	92	50	50	50	50	50	50	63	84	67	40	30	59	0	31	3	575,000$
Rayé
Équipe Mineure
1	Chris Driedger	100.00	80	50	60	95	50	50	50	50	50	50	90	84	67	40	28	59	0	31	3	975,000$
2	Olivier Rodrigue	100.00	81	70	75	78	50	50	50	50	50	50	76	72	61	70	28	58	0	25	3	975,000$
3	Zachary Emond	100.00	75	50	60	87	50	50	50	50	50	50	75	72	61	70	20	57	0	25	3	575,000$

	MOYENNE D’ÉQUIPE	100.00	81	64	71	90	59	59	59	59	58	58	81	79	69	52	27	65

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Kris Knoblauch	68	86	89	90	82	75	76	CAN	47	4	1,500,000$

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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	FW	FT	S1	S2	S3
1	Marco Rossi	Oilers	C	18	6	7	13	1	0	0	4	33	53	23	33	11.32%	1	297	16.50	2	3	5	21	75	0	0	1	1	50.70%	71	0.88	0	0	1	1	0
2	Joshua Morrissey	Oilers	D	18	4	8	12	6	2	0	3	27	37	11	32	10.81%	24	469	26.06	1	1	2	20	80	2	82	2	0	0.00%	0	0.51	0	0	0	2	2
3	Mikhail Sergachev	Oilers	D	18	4	8	12	5	12	0	16	26	54	14	25	7.41%	27	430	23.92	2	2	4	36	82	1	77	0	0	0.00%	0	0.56	0	0	1	1	0
4	Mavrik Bourque	Oilers	RW	18	5	6	11	9	0	0	1	26	33	7	17	15.15%	0	241	13.42	1	2	3	16	53	0	0	2	0	56.06%	289	0.91	0	0	0	1	2
5	Adam Lowry	Oilers	C	18	6	4	10	6	26	0	33	31	35	17	31	17.14%	0	249	13.88	0	0	0	1	10	1	41	3	0	55.59%	295	0.80	0	0	2	0	0
6	Jake DeBrusk	Oilers	LW	18	6	4	10	7	6	0	8	15	48	14	39	12.50%	0	269	14.97	3	0	3	11	67	0	1	1	1	41.18%	17	0.74	0	0	0	2	0
7	Tim Stutzle	Oilers	RW	18	5	5	10	3	6	0	7	43	47	13	40	10.64%	0	369	20.53	0	3	3	14	84	0	0	0	1	40.74%	27	0.54	0	0	1	0	0
8	Brady Tkachuk	Oilers	LW	18	4	5	9	1	61	15	82	11	54	13	40	7.41%	0	364	20.27	1	2	3	15	82	0	4	0	1	48.39%	31	0.49	3	0	1	1	0
9	Timo Meier	Oilers	RW	18	2	7	9	4	17	5	49	27	64	18	33	3.13%	7	408	22.71	1	4	5	17	65	2	91	1	0	25.00%	32	0.44	1	0	1	0	1
10	Bo Horvat	Oilers	C	18	2	6	8	1	0	0	8	62	57	18	47	3.51%	10	396	22.03	1	1	2	17	67	3	101	0	0	57.05%	603	0.40	0	0	0	0	0
11	Jacob Trouba	Oilers	D	18	2	5	7	5	42	0	59	12	29	9	13	6.90%	19	404	22.49	0	2	2	14	68	0	54	1	0	0.00%	0	0.35	0	0	0	0	1
12	Matthew Peca	Oilers	RW	18	1	5	6	5	4	0	4	23	32	10	14	3.13%	0	190	10.58	0	0	0	0	1	0	0	0	0	14.29%	7	0.63	0	0	0	1	0
13	Nick Seeler	Oilers	D	18	1	4	5	7	23	5	49	9	15	1	10	6.67%	17	309	17.17	0	0	0	1	1	0	63	0	0	0.00%	0	0.32	0	1	1	0	0
14	Sean Durzi	Oilers	D	18	1	4	5	2	0	0	0	10	17	6	12	5.88%	10	236	13.16	0	0	0	1	8	0	6	0	0	0.00%	0	0.42	0	0	0	1	0
15	Mason Appleton	Oilers	LW	18	1	3	4	-1	0	0	4	23	20	5	9	5.00%	4	223	12.40	0	0	0	1	7	2	86	0	0	33.99%	303	0.36	0	0	0	0	0
16	Nathan Walker	Oilers	C	18	1	2	3	3	10	0	15	10	4	0	7	25.00%	4	78	4.37	0	0	0	0	0	0	0	0	0	53.13%	96	0.76	0	0	0	0	0
17	Simon Benoit	Oilers	D	18	0	3	3	2	40	0	60	9	7	7	7	0.00%	17	251	13.97	0	0	0	0	0	0	25	0	0	0.00%	0	0.24	0	0	0	0	1
18	Isac Lundestrom	Oilers	LW	18	1	1	2	4	0	0	0	13	9	5	6	11.11%	3	125	6.99	0	0	0	0	0	2	45	0	0	33.33%	3	0.32	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				324	52	87	139	70	249	25	402	410	615	191	415	8.46%	143	5317	16.41	12	20	32	185	758	13	682	11	4	50.90%	1774	0.52	4	1	8	10	7

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 gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	ST	BG	S1	S2	S3
1	Andrei Vasilevskiy	Oilers	18	9	7	2	0.920	2.32	1036	2	3	40	501	2	18	0	2	1	3
2	Antoine Bibeau	Oilers	1	0	0	0	0.893	3.60	50	0	0	3	28	0	0	18	0	0	0
Statistiques d’équipe totales ou en moyenne			19	9	7	2	0.919	2.38	1086	2	3	43	529	2	18	18	2	1	3

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	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	2043	2044	2045	2046	Link
Adam Lowry	Oilers	C	32	1993-03-29	No	210 Lbs	6 ft5	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	2,772,472$	No	UFA							Lien / Lien NHL
Andrei Vasilevskiy	Oilers	G	31	1994-07-25	No	207 Lbs	6 ft5	No	No	Yes	5	Pro Only	8,500,000$	8,500,000$	6,733,146$	No	8,500,000$	8,500,000$	8,500,000$	8,500,000$	UFA			Lien / Lien NHL
Antoine Bibeau	Oilers	G	31	1994-05-01	No	210 Lbs	6 ft2	No	No	No	3	Pro & Farm	575,000$	575,000$	455,478$	No	575,000$	575,000$	UFA					Lien / Lien NHL
Bo Horvat	Oilers	C	30	1995-04-05	No	215 Lbs	6 ft1	No	No	Yes	1	Pro Only	9,000,000$	9,000,000$	7,129,213$	No	UFA							Lien / Lien NHL
Brady Tkachuk	Oilers	LW	26	1999-09-16	No	225 Lbs	6 ft4	No	No	Yes	5	Pro Only	8,000,000$	8,000,000$	6,337,079$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	UFA			Lien / Lien NHL
Isac Lundestrom	Oilers	LW	26	1999-11-06	No	191 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	1,188,202$	No	RFA							Lien / Lien NHL
Jacob Trouba	Oilers	D	31	1994-02-26	No	212 Lbs	6 ft3	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	3,960,674$	No	5,000,000$	5,000,000$	UFA					Lien / Lien NHL
Jake DeBrusk	Oilers	LW	29	1996-10-17	No	198 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	3,168,539$	No	UFA							Lien / Lien NHL
Joshua Morrissey	Oilers	D	30	1995-03-28	No	195 Lbs	6 ft0	No	No	Yes	5	Pro Only	9,000,000$	9,000,000$	7,129,213$	No	9,000,000$	9,000,000$	9,000,000$	9,000,000$	UFA			Lien / Lien NHL
Marco Rossi	Oilers	C	24	2001-09-23	No	182 Lbs	5 ft9	No	No	Yes	2	Pro Only	5,500,000$	5,500,000$	4,356,742$	No	5,500,000$	RFA						Lien / Lien NHL
Mason Appleton	Oilers	LW	29	1996-01-15	No	194 Lbs	6 ft2	No	No	Yes	4	Pro & Farm	2,400,000$	2,400,000$	1,901,124$	No	2,400,000$	2,400,000$	2,400,000$	UFA				Lien / Lien NHL
Matthew Peca	Oilers	RW	32	1993-04-27	No	180 Lbs	5 ft10	No	No	No	3	Pro & Farm	575,000$	575,000$	455,478$	No	575,000$	575,000$	UFA					Lien / Lien NHL
Mavrik Bourque	Oilers	RW	23	2002-01-08	No	181 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	925,000$	732,725$	No	RFA							Lien / Lien NHL
Mikhail Sergachev	Oilers	D	27	1998-06-25	No	212 Lbs	6 ft3	No	No	Yes	2	Pro Only	6,600,000$	6,600,000$	5,228,090$	No	6,600,000$	UFA						Lien / Lien NHL
Nathan Walker	Oilers	C	31	1994-02-07	No	187 Lbs	5 ft9	No	No	No	2	Pro & Farm	575,000$	575,000$	455,478$	No	575,000$	UFA						Lien / Lien NHL
Nick Seeler	Oilers	D	32	1993-06-03	No	197 Lbs	6 ft3	No	No	Yes	3	Pro & Farm	3,500,000$	3,500,000$	2,772,472$	No	3,500,000$	3,500,000$	UFA					Lien / Lien NHL
Ryan Carpenter	Oilers	C	34	1991-01-18	No	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	575,000$	575,000$	455,478$	No	575,000$	UFA						Lien / Lien NHL
Sean Durzi	Oilers	D	27	1998-10-21	No	196 Lbs	6 ft1	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	3,960,674$	No	5,000,000$	5,000,000$	UFA					Lien / Lien NHL
Simon Benoit	Oilers	D	27	1998-09-19	No	211 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,600,000$	1,600,000$	1,267,416$	No	1,600,000$	1,600,000$	UFA					Lien / Lien NHL
Tim Stutzle	Oilers	RW	23	2002-01-15	No	192 Lbs	6 ft0	Yes	No	Yes	7	Pro Only	1$	1$	1$	No	9,000,000$	9,000,000$	9,000,000$	9,000,000$	9,000,000$	9,000,000$	UFA	Lien / Lien NHL
Timo Meier	Oilers	RW	29	1996-10-08	No	220 Lbs	6 ft1	No	No	Yes	4	Pro Only	5,750,000$	5,750,000$	4,554,775$	No	5,750,000$	5,750,000$	5,750,000$	UFA				Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	28.76	201 Lbs	6 ft1	2.90	3,908,333$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
82,075,001$	72,150,000$	58,900,000$	42,650,000$	34,500,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brady Tkachuk	Bo Horvat	Tim Stutzle	40	1	2	2
2	Jake DeBrusk	Marco Rossi	Timo Meier	30	1	2	2
3	Mason Appleton	Adam Lowry	Matthew Peca	20	1	2	2
4	Isac Lundestrom	Nathan Walker	Mavrik Bourque	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Joshua Morrissey	40	1	2	2
2	Mikhail Sergachev	Nick Seeler	30	1	2	2
3	Simon Benoit	Sean Durzi	20	1	2	2
4	Mikhail Sergachev	Joshua Morrissey	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brady Tkachuk	Marco Rossi	Tim Stutzle	60	1	2	2
2	Jake DeBrusk	Bo Horvat	Timo Meier	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Joshua Morrissey	Mikhail Sergachev	60	1	2	2
2	Jacob Trouba	Marco Rossi	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Bo Horvat	Timo Meier	60	1	2	2
2	Adam Lowry	Isac Lundestrom	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Mikhail Sergachev	Joshua Morrissey	60	1	2	2
2	Jacob Trouba	Nick Seeler	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Bo Horvat	60	1	2	2	Mikhail Sergachev	Joshua Morrissey	60	1	2	2
2	Adam Lowry	40	1	2	2	Jacob Trouba	Nick Seeler	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Marco Rossi	Timo Meier	60	1	2	2
2	Adam Lowry	Jake DeBrusk	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Mikhail Sergachev	Joshua Morrissey	60	1	2	2
2	Jacob Trouba	Nick Seeler	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brady Tkachuk	Bo Horvat	Tim Stutzle	Mikhail Sergachev	Joshua Morrissey

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brady Tkachuk	Bo Horvat	Tim Stutzle	Mikhail Sergachev	Joshua Morrissey

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jake DeBrusk, Adam Lowry, Matthew Peca	Adam Lowry, Marco Rossi	Mason Appleton

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Nick Seeler, Simon Benoit, Sean Durzi	Sean Durzi	Simon Benoit, Sean Durzi

Tirs de pénalité
Tim Stutzle, Brady Tkachuk, Bo Horvat, Timo Meier, Marco Rossi

Gardien
#1 : Andrei Vasilevskiy, #2 : Antoine Bibeau

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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

	Total												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	Avalanche	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	0	0	0	0	38	6	18	14	0	22	5	12	15	5	0	0.00%	5	1	80.00%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	28	20	19	6	11	6
2	BlueJackets	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	3	1	2	2	0.500	5	9	14	0	0	1	3	1	0	60	21	22	17	0	47	18	23	39	13	0	0.00%	9	1	88.89%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	51	36	45	15	23	11
3	Blues	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	1	1	1	0	25	13	5	7	0	33	7	8	27	3	0	0.00%	3	1	66.67%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	23	15	25	6	11	5
4	Canucks	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	1	2	0	0	27	5	15	7	0	28	4	20	19	8	2	25.00%	10	1	90.00%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	19	13	26	8	13	6
5	Devils	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	4	7	0	0	1	1	1	0	33	14	9	10	0	23	10	6	26	9	0	0.00%	2	1	50.00%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	25	17	20	8	13	7
6	Ducks	1	0	1	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	3	8	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	2	1	0	0	28	5	11	12	0	40	6	29	22	8	1	12.50%	11	4	63.64%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	22	14	25	7	12	5
7	Flames	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	5	8	0	0	0	1	1	1	44	14	14	9	7	28	5	23	13	2	0	0.00%	4	1	75.00%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	28	21	21	6	12	6
8	GoldenKnights	2	0	0	0	1	1	0	0	5	5	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	1	1	0	0	5	5	0	3	0.750	5	9	14	0	0	0	3	1	1	83	32	30	19	2	70	23	28	51	6	2	33.33%	13	1	92.31%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	49	34	47	14	24	11
9	Kings	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	7	11	0	0	1	2	1	0	27	6	9	11	1	35	16	20	33	2	1	50.00%	8	3	62.50%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	23	15	26	8	13	6
10	Mammoth	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	0	4	2	1.000	4	8	12	0	1	2	1	1	0	48	11	25	12	0	11	4	0	20	11	1	9.09%	0	0	0.00%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	32	24	16	7	11	6
11	MapleLeafs	1	1	0	0	0	0	0	0	6	0	6	1	1	0	0	0	0	0	0	6	0	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	9	15	0	1	3	2	1	0	51	21	19	11	0	19	4	4	27	6	1	16.67%	2	0	100.00%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	29	21	18	7	12	6
12	Rangers	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	0	1	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	26	11	6	9	0	33	7	8	24	4	0	0.00%	4	1	75.00%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	27	19	20	7	12	6
13	Sabres	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	0	3	2	1.000	3	5	8	0	1	0	3	0	0	42	11	24	7	0	35	8	10	19	2	0	0.00%	4	0	100.00%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	23	16	24	7	11	5
14	Senators	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	0	1	0	18	9	4	5	0	31	9	30	22	4	0	0.00%	6	1	83.33%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	21	14	26	7	12	5
15	Sharks	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	2	1	0	0	27	17	6	4	0	49	8	20	17	4	2	50.00%	10	2	80.00%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	22	14	24	7	13	6
16	Stars	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	0	2	1	0	30	8	11	11	0	25	7	12	26	6	2	33.33%	6	1	83.33%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	28	20	19	7	11	6
	Total	18	7	7	0	2	2	0	0	49	43	6	10	4	5	0	0	1	0	0	28	29	-1	8	3	2	0	2	1	0	0	21	14	7	20	0.556	49	87	136	0	3	14	23	10	2	607	204	228	165	10	529	141	253	400	93	12	12.90%	97	19	80.41%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	458	321	408	131	219	111
	_Since Last GM Reset	18	7	7	0	2	2	0	0	49	43	6	10	4	5	0	0	1	0	0	28	29	-1	8	3	2	0	2	1	0	0	21	14	7	20	0.556	49	87	136	0	3	14	23	10	2	607	204	228	165	10	529	141	253	400	93	12	12.90%	97	19	80.41%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	458	321	408	131	219	111
	_Vs Conference	11	3	4	0	2	2	0	0	31	32	-1	5	2	2	0	0	1	0	0	16	19	-3	6	1	2	0	2	1	0	0	15	13	2	12	0.545	31	58	89	0	1	9	14	6	2	377	117	144	106	10	341	85	172	243	55	11	20.00%	70	15	78.57%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	279	195	252	78	135	68
	_Vs Division	8	2	2	0	2	2	0	0	25	25	0	4	1	2	0	0	1	0	0	13	18	-5	4	1	0	0	2	1	0	0	12	7	5	10	0.625	25	47	72	0	1	8	11	4	2	284	90	110	74	10	261	66	140	175	41	9	21.95%	56	12	78.57%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	199	138	187	58	100	50

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
18	20	W4	49	87	136	607	529	141	253	400	0	3

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	7	7	2	2	0	0	49	43

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	4	5	0	1	0	0	28	29

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	2	2	1	0	0	21	14

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	1	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
93	12	12.90%	97	19	80.41%	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
204	228	165	10	14	23	10	2

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
387	703	55.05%	369	651	56.68%	132	249	53.01%

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
458	321	408	131	219	111

Derniers matchs 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	Lien
1	3	Oilers	3	Flames	2	AW	X	Sommaire du match
3	22	Sharks	4	Oilers	3	BL		Sommaire du match
5	37	Oilers	0	Avalanche	2	AL		Sommaire du match
6	51	Oilers	2	GoldenKnights	1	AW	X	Sommaire du match
8	60	Ducks	8	Oilers	3	BL		Sommaire du match
10	79	Stars	1	Oilers	3	BW		Sommaire du match
12	90	Kings	5	Oilers	4	BL	X	Sommaire du match
15	112	Senators	3	Oilers	1	BL		Sommaire du match
17	129	BlueJackets	4	Oilers	2	BL		Sommaire du match
19	150	Oilers	3	Blues	4	AL		Sommaire du match
21	161	Oilers	3	GoldenKnights	4	AL	X	Sommaire du match
22	162	Oilers	4	Mammoth	0	AW		Sommaire du match
25	190	Devils	2	Oilers	3	BW		Sommaire du match
27	203	Rangers	1	Oilers	0	BL		Sommaire du match
29	218	MapleLeafs	0	Oilers	6	BW		Sommaire du match
31	234	Canucks	1	Oilers	3	BW		Sommaire du match
34	254	Oilers	3	Sabres	0	AW		Sommaire du match
36	266	Oilers	3	BlueJackets	1	AW		Sommaire du match
38	287	Oilers	-	Senators	-
39	293	Oilers	-	MapleLeafs	-
41	307	Oilers	-	Predators	-
43	320	Ducks	-	Oilers	-
45	334	Islanders	-	Oilers	-
47	350	Mammoth	-	Oilers	-
50	374	Oilers	-	Islanders	-
51	383	Oilers	-	Hurricanes	-
53	397	Oilers	-	Penguins	-
57	424	Sharks	-	Oilers	-
59	442	Oilers	-	Wild	-
61	455	Blackhawks	-	Oilers	-
63	469	Oilers	-	Canadiens	-
64	480	Oilers	-	Flyers	-
71	510	RedWings	-	Oilers	-
73	518	Hurricanes	-	Oilers	-
74	525	Flames	-	Oilers	-
77	551	Oilers	-	Canucks	-
79	563	Sabres	-	Oilers	-
81	577	Mammoth	-	Oilers	-
83	592	Panthers	-	Oilers	-
85	610	Oilers	-	Sharks	-
87	621	Oilers	-	Ducks	-
88	630	Oilers	-	Kings	-
91	652	Oilers	-	Mammoth	-
93	669	Jets	-	Oilers	-
95	680	Sharks	-	Oilers	-
97	695	Canucks	-	Oilers	-
99	720	Lightning	-	Oilers	-
103	749	Blues	-	Oilers	-
105	766	Oilers	-	Canucks	-
107	781	Flyers	-	Oilers	-
108	793	Oilers	-	Jets	-
110	802	Oilers	-	Avalanche	-
112	814	Flames	-	Oilers	-
114	831	Wild	-	Oilers	-
116	846	Oilers	-	Blues	-
118	857	Oilers	-	Stars	-
120	868	GoldenKnights	-	Oilers	-
122	885	Kings	-	Oilers	-
124	898	Stars	-	Oilers	-
126	912	Oilers	-	Kings	-
128	926	Oilers	-	Ducks	-
130	955	Oilers	-	Sharks	-
132	968	GoldenKnights	-	Oilers	-
133	972	Oilers	-	Flames	-
137	1002	Canadiens	-	Oilers	-
139	1014	Avalanche	-	Oilers	-
142	1040	Oilers	-	Panthers	-
144	1056	Oilers	-	Lightning	-
145	1062	Oilers	-	Capitals	-
147	1068	Oilers	-	RedWings	-
149	1084	Blackhawks	-	Oilers	-
151	1100	Wild	-	Oilers	-
153	1109	Oilers	-	Blackhawks	-
154	1120	Oilers	-	Predators	-
156	1135	Capitals	-	Oilers	-
158	1146	Penguins	-	Oilers	-
161	1160	Predators	-	Oilers	-
163	1176	Bruins	-	Oilers	-
165	1194	Oilers	-	Jets	-
168	1211	Oilers	-	Rangers	-
169	1216	Oilers	-	Bruins	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
174	1250	Oilers	-	Devils	-

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Brady Tkachuk

AGE:26
SK:		84
EN:		85
DU:		92
PH:		76
PA:		70
SC:		83
DF:		71
Jake DeBrusk

AGE:29
SK:		84
EN:		82
DU:		99
PH:		69
PA:		60
SC:		78
DF:		66
Brock McGinn

AGE:31
SK:		80
EN:		74
DU:		61
PH:		58
PA:		53
SC:		63
DF:		81
Mason Appleton

AGE:29
SK:		79
EN:		79
DU:		92
PH:		58
PA:		54
SC:		62
DF:		67
Charles Hudon

AGE:31
SK:		85
EN:		76
DU:		66
PH:		64
PA:		70
SC:		54
DF:		70
Isac Lundestrom

AGE:26
SK:		78
EN:		77
DU:		97
PH:		53
PA:		51
SC:		54
DF:		76
Zach Sanford

AGE:31
SK:		75
EN:		79
DU:		69
PH:		50
PA:		48
SC:		52
DF:		66
Pierre-Edouard Bellemare

AGE:40
SK:		77
EN:		60
DU:		50
PH:		52
PA:		46
SC:		58
DF:		67
Sandis Vilmanis (R)

AGE:21
SK:		86
EN:		70
DU:		60
PH:		43
PA:		44
SC:		42
DF:		55
Noah Laba (R)

AGE:22
SK:		85
EN:		60
DU:		50
PH:		44
PA:		35
SC:		52
DF:		63
Sam Lipkin (R)

AGE:22
SK:		86
EN:		65
DU:		55
PH:		36
PA:		27
SC:		45
DF:		52
Matthew Maggio

AGE:23
SK:		75
EN:		69
DU:		59
PH:		38
PA:		36
SC:		40
DF:		50
Fabian Wagner (R)

AGE:21
SK:		89
EN:		60
DU:		50
PH:		36
PA:		28
SC:		43
DF:		51

Bo Horvat

AGE:30
SK:		86
EN:		89
DU:		98
PH:		74
PA:		69
SC:		78
DF:		74
Marco Rossi

AGE:24
SK:		91
EN:		85
DU:		99
PH:		75
PA:		76
SC:		74
DF:		70
Adam Lowry

AGE:32
SK:		78
EN:		80
DU:		93
PH:		64
PA:		60
SC:		68
DF:		82
Nathan Walker

AGE:31
SK:		80
EN:		75
DU:		93
PH:		54
PA:		49
SC:		59
DF:		70
Mattias Janmark

AGE:33
SK:		76
EN:		77
DU:		98
PH:		54
PA:		56
SC:		52
DF:		71
Craig Smith

AGE:36
SK:		79
EN:		74
DU:		83
PH:		58
PA:		53
SC:		63
DF:		68
Tyson Kozak

AGE:23
SK:		80
EN:		72
DU:		57
PH:		55
PA:		48
SC:		62
DF:		71
Samuel Poulin

AGE:24
SK:		76
EN:		66
DU:		56
PH:		56
PA:		55
SC:		57
DF:		70
Ryan Carpenter

AGE:34
SK:		76
EN:		81
DU:		71
PH:		53
PA:		54
SC:		52
DF:		56
Caedan Bankier

AGE:22
SK:		75
EN:		77
DU:		67
PH:		41
PA:		37
SC:		44
DF:		50

Tim Stutzle

AGE:23
SK:		94
EN:		87
DU:		99
PH:		85
PA:		95
SC:		74
DF:		72
Timo Meier

AGE:29
SK:		85
EN:		84
DU:		98
PH:		72
PA:		68
SC:		77
DF:		75
Matthew Peca

AGE:32
SK:		85
EN:		77
DU:		67
PH:		63
PA:		59
SC:		67
DF:		70
Mavrik Bourque

AGE:23
SK:		82
EN:		76
DU:		93
PH:		59
PA:		56
SC:		62
DF:		70
Kevin Labanc

AGE:30
SK:		82
EN:		72
DU:		66
PH:		59
PA:		64
SC:		55
DF:		67
Nail Yakupov

AGE:32
SK:		77
EN:		60
DU:		50
PH:		50
PA:		52
SC:		47
DF:		50
Ryan Hofer

AGE:23
SK:		75
EN:		60
DU:		50
PH:		33
PA:		28
SC:		38
DF:		65

Défense #1

Défense #2

Gardien

Mikhail Sergachev

AGE:27
SK:		86
EN:		92
DU:		96
PH:		77
PA:		80
SC:		74
DF:		85
Joshua Morrissey

AGE:30
SK:		91
EN:		90
DU:		98
PH:		80
PA:		89
SC:		72
DF:		78
Jacob Trouba

AGE:31
SK:		75
EN:		84
DU:		96
PH:		53
PA:		54
SC:		52
DF:		85
Nick Seeler

AGE:32
SK:		77
EN:		79
DU:		96
PH:		56
PA:		58
SC:		55
DF:		87
Simon Benoit

AGE:27
SK:		75
EN:		77
DU:		96
PH:		51
PA:		49
SC:		52
DF:		75
Sean Durzi

AGE:27
SK:		82
EN:		84
DU:		64
PH:		63
PA:		59
SC:		66
DF:		79
Philippe Myers

AGE:28
SK:		75
EN:		77
DU:		68
PH:		52
PA:		47
SC:		57
DF:		73
Urho Vaakanainen

AGE:26
SK:		78
EN:		77
DU:		78
PH:		59
PA:		63
SC:		55
DF:		70

Erik Gustafsson

AGE:33
SK:		80
EN:		77
DU:		84
PH:		58
PA:		62
SC:		54
DF:		62
Nikita Okhotyuk

AGE:25
SK:		76
EN:		55
DU:		50
PH:		52
PA:		53
SC:		52
DF:		70
Scott Perunovich

AGE:27
SK:		82
EN:		77
DU:		67
PH:		57
PA:		56
SC:		57
DF:		69
Marc-Edouard Vlasic

AGE:38
SK:		75
EN:		74
DU:		62
PH:		50
PA:		46
SC:		55
DF:		71
Kale Clague

AGE:27
SK:		77
EN:		73
DU:		68
PH:		51
PA:		54
SC:		48
DF:		63
Kevin Korchinski

AGE:21
SK:		76
EN:		78
DU:		54
PH:		51
PA:		45
SC:		58
DF:		66
Michael Buchinger (R)

AGE:21
SK:		86
EN:		55
DU:		50
PH:		33
PA:		31
SC:		35
DF:		50

Andrei Vasilevskiy

AGE:31
SK:		94
AG:		94
RB:		94
SC:		94
HS:		93
RT:		92
DF:		91
Chris Driedger

AGE:31
SK:		80
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Antoine Bibeau

AGE:31
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Olivier Rodrigue

AGE:25
SK:		81
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Zachary Emond

AGE:25
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Aidan Hreschuk	Oilers	2035	107
Albert Sjoberg	Oilers	2036	169
Alex Bump	Oilers	2036	156
Arsenii Sergeev	Oilers	2036	190
Daniil Orlov	Oilers	2036	135
Dans Locmelis	Oilers	2036	134
Dmitri Rashevsky	Oilers	2035	156
Eric Jamieson	Oilers	2038	190
Graham Sward	Oilers	2036	151
Jake Karabela	Oilers	2036	157
Jake Richard	Oilers	2036	200
Jakub Fibigr	Oilers	2038	217
Jakub Vondras	Oilers	2036	201
Jesper Eliasson	Oilers	2032	79
Joe Vrbetic	Oilers	2036	189
Joel Nystrom	Oilers	2036	171
Joey Muldowney	Oilers	2036	202
Ludvig Jansson	Oilers	2036	138
Luke Devlin	Oilers	2036	213
Marc-Andre Gaudet	Oilers	2036	159
Maxim Barbashev	Oilers	2036	143
Nikita Guslistov	Oilers	2036	166
Roman Shokhrin	Oilers	2038	198
Ryann O'Reilly	Oilers	2032	83
Taige Harding	Oilers	2035	105

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2041
2042

Oilers Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Ryan Getzlaf	708	303	504	807	-13	1336	2423	1744	2683	11.29%	318	16611	23.46	77	181	258	546	11	4	15	66	46	19	53.58%	8	0.97	11	66
2	Thomas Vanek	1042	329	415	744	-44	320	605	1336	2967	11.09%	171	20944	20.10	90	156	246	691	4	2	6	49	40	18	36.30%	9	0.71	20	63
3	Aaron Johnson	1478	267	453	720	19	1267	1781	1783	2408	11.09%	761	23292	15.76	33	62	95	225	12	15	27	72	37	13	48.40%	3	0.62	1	27
4	Nicklas Backstrom	791	275	433	708	-69	455	1106	2335	2415	11.39%	298	17817	22.53	79	142	221	520	8	6	14	86	36	23	52.89%	5	0.79	17	79
5	Niklas Kronvall	815	147	390	537	-95	545	1174	1374	1632	9.01%	1205	20714	25.42	80	127	207	840	1	12	13	22	27	9	0.00%	0	0.52	1	4

Oilers Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	James Howard	680	302	307	51	0.898	3.18	39186	100	27	2076	20329	1504	17	12	0.752	238
2	Linus Ullmark	82	59	20	1	0.906	2.73	4810	0	3	219	2325	0	4	0	0.727	11
3	Darcy Kuemper	173	53	65	8	0.900	3.23	8397	29	7	452	4517	0	6	2	0.729	48
4	Thatcher Demko	81	53	24	4	0.904	2.78	4857	4	4	225	2347	0	5	0	0.750	28
5	Marc-Andre Fleury	82	49	25	7	0.910	2.75	4910	21	1	225	2508	1015	6	3	0.848	46

Oilers Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison régulière
2017	82	34	38	0	2	4	1	3	279	297	-18	41	19	17	0	1	3	1	0	148	142	6	41	15	21	0	1	1	0	3	131	155	-24	76	279	457	736	0	0	0	72	108	96	2412	0	698	893	808	2632	852	1316	1841	259	38	14.67%	324	61	81.17%	13	857	1869	45.85%	921	2005	45.94%	696	1443	48.23%	1659	895	1926	859	1543	756
2018	82	32	38	0	2	3	3	4	209	235	-26	41	15	18	0	1	3	2	2	95	115	-20	41	17	20	0	1	0	1	2	114	120	-6	71	209	328	537	0	1	0	54	82	68	2418	0	734	877	786	2480	823	1220	1928	222	34	15.32%	256	58	77.34%	5	1047	1975	53.01%	995	1882	52.87%	689	1305	52.80%	1790	1015	1656	746	1512	762
2019	82	32	33	0	0	5	5	7	235	253	-18	41	18	13	0	0	5	3	2	121	120	1	41	14	20	0	0	0	2	5	114	133	-19	69	235	384	619	2	0	0	67	89	74	2589	0	851	860	855	2643	808	1053	1979	243	38	15.64%	210	32	84.76%	7	1116	2084	53.55%	1028	2028	50.69%	679	1232	55.11%	1836	1075	1683	729	1468	747
2020	82	41	28	0	1	1	5	6	286	256	30	41	22	15	0	1	1	1	1	133	119	14	41	19	13	0	0	0	4	5	153	137	16	85	286	462	748	3	1	0	89	95	96	2763	0	928	916	906	2551	790	1183	1900	249	63	25.30%	237	36	84.81%	6	1168	2100	55.62%	1105	2053	53.82%	702	1308	53.67%	1874	1125	1655	725	1445	731
2021	82	37	30	0	3	3	3	6	256	246	10	41	22	14	0	1	1	2	1	134	107	27	41	15	16	0	2	2	1	5	122	139	-17	83	256	451	707	0	7	0	93	86	71	2607	0	898	849	827	2527	755	969	1857	423	75	17.73%	413	76	81.60%	4	1676	3137	53.43%	1609	3107	51.79%	620	1221	50.78%	1958	1347	2002	618	1021	503
2022	82	41	33	0	3	2	3	0	285	229	56	41	24	13	0	2	1	1	0	150	102	48	41	17	20	0	1	1	2	0	135	127	8	90	285	503	788	3	8	0	110	84	85	2677	0	921	883	853	2515	673	1015	1732	450	85	18.89%	383	65	83.03%	2	1681	3171	53.01%	1521	2980	51.04%	672	1285	52.30%	2015	1396	1909	608	1023	519
2023	82	26	46	0	2	1	6	1	267	309	-42	41	11	24	0	2	1	2	1	132	159	-27	41	15	22	0	0	0	4	0	135	150	-15	57	267	461	728	2	2	0	99	79	81	2440	0	859	745	817	2625	736	887	1827	441	76	17.23%	395	95	75.95%	5	1454	2891	50.29%	1388	2974	46.67%	660	1362	48.46%	2016	1414	1928	608	1016	506
2024	82	37	32	0	2	5	2	4	256	247	9	41	19	17	0	0	3	1	1	123	129	-6	41	18	15	0	2	2	1	3	133	118	15	91	256	457	713	1	4	0	96	88	68	2256	0	770	769	700	2484	748	1004	1688	437	81	18.54%	404	78	80.69%	2	1421	2771	51.28%	1502	2931	51.25%	660	1294	51.00%	2029	1408	1911	611	1032	519
2025	82	35	37	0	3	0	2	5	260	267	-7	41	19	19	0	0	0	0	3	122	127	-5	41	16	18	0	3	0	2	2	138	140	-2	85	260	453	713	0	4	0	95	89	71	2304	0	797	711	783	2392	771	1026	1642	442	69	15.61%	405	81	80.00%	4	1466	2865	51.17%	1461	2827	51.68%	641	1256	51.04%	2048	1424	1883	613	1029	522
2026	82	22	45	0	1	2	6	6	242	316	-74	41	13	21	0	0	2	2	3	122	162	-40	41	9	24	0	1	0	4	3	120	154	-34	66	242	422	664	1	1	0	85	85	65	2159	0	737	709	685	2757	811	1081	1857	410	85	20.73%	482	106	78.01%	4	1374	2727	50.39%	1555	3172	49.02%	669	1308	51.15%	1955	1341	2005	613	1026	513
2027	82	27	43	0	2	2	6	2	213	251	-38	41	14	19	0	1	2	3	2	104	125	-21	41	13	24	0	1	0	3	0	109	126	-17	74	213	368	581	1	6	0	76	70	59	2078	0	734	719	603	2687	777	1016	1783	401	67	16.71%	455	92	79.78%	4	1360	2661	51.11%	1516	3119	48.61%	639	1233	51.82%	1920	1310	2031	617	1020	500
2030	82	12	56	0	1	3	7	3	163	298	-135	41	6	26	0	1	1	5	2	88	144	-56	41	6	30	0	0	2	2	1	75	154	-79	46	163	281	444	2	0	0	63	55	37	1963	0	614	682	648	2777	792	977	1785	395	55	13.92%	435	111	74.48%	1	1286	2597	49.52%	1490	3181	46.84%	616	1245	49.48%	1841	1238	2101	636	1037	501
2031	82	17	57	0	2	3	0	3	226	374	-148	41	9	29	0	1	1	0	1	113	186	-73	41	8	28	0	1	2	0	2	113	188	-75	44	226	414	640	2	1	0	94	77	53	2282	0	701	808	762	2982	835	922	1914	383	75	19.58%	403	91	77.42%	4	1194	2732	43.70%	1257	3042	41.32%	557	1336	41.69%	1772	1182	2148	618	1019	488
2032	82	22	46	0	3	3	2	6	255	331	-76	41	12	21	0	2	1	0	5	135	166	-31	41	10	25	0	1	2	2	1	120	165	-45	63	255	445	700	1	2	0	85	95	70	2454	0	805	802	817	2729	827	923	1917	411	71	17.27%	410	86	79.02%	4	1208	2885	41.87%	1242	3016	41.18%	556	1360	40.88%	1907	1291	2019	623	1048	515
2033	82	19	46	0	5	3	2	7	230	298	-68	41	8	22	0	2	2	2	5	111	147	-36	41	11	24	0	3	1	0	2	119	151	-32	62	230	404	634	2	4	0	85	77	61	2311	0	730	778	778	2898	843	987	1826	425	87	20.47%	415	86	79.28%	3	1398	2880	48.54%	1473	3249	45.34%	576	1321	43.60%	1862	1252	2077	631	1039	504
2034	82	17	51	0	3	2	5	4	206	317	-111	41	7	24	0	2	2	3	3	114	158	-44	41	10	27	0	1	0	2	1	92	159	-67	56	206	364	570	1	2	0	75	61	62	2344	0	730	799	791	3097	921	995	1826	386	57	14.77%	425	86	79.76%	1	1374	2819	48.74%	1490	3289	45.30%	590	1266	46.60%	1761	1161	2183	637	1032	490
2035	82	12	59	0	1	3	3	4	232	381	-149	41	4	30	0	1	1	3	2	109	185	-76	41	8	29	0	0	2	0	2	123	196	-73	39	232	408	640	4	0	0	81	69	78	2414	0	829	767	800	2989	822	919	1919	398	75	18.84%	395	97	75.44%	1	1441	2907	49.57%	1401	2969	47.19%	729	1409	51.74%	1828	1230	2084	620	1044	503
2036	82	9	56	0	4	10	1	2	262	434	-172	41	7	27	0	0	4	1	2	133	214	-81	41	2	29	0	4	6	0	0	129	220	-91	40	262	476	738	0	2	0	96	73	88	2451	0	829	760	824	2948	860	1167	2000	387	80	20.67%	517	146	71.76%	6	1550	2843	54.52%	1472	2887	50.99%	778	1464	53.14%	1860	1250	2068	621	1047	506
2037	82	54	22	0	3	0	2	1	334	228	106	41	28	10	0	2	0	1	0	177	106	71	41	26	12	0	1	0	1	1	157	122	35	119	334	592	926	0	3	119	114	96	8	2798	958	912	916	24	2402	636	1132	1980	425	87	20.47%	463	80	82.72%	3	1736	3087	56.24%	1619	2936	55.14%	742	1303	56.95%	2103	1480	1829	588	1009	523
2038	82	45	23	0	5	4	3	2	298	234	64	41	24	10	0	3	2	0	2	156	122	34	41	21	13	0	2	2	3	0	142	112	30	112	298	527	825	0	4	99	100	91	11	2601	854	857	866	45	2371	653	1112	1806	420	89	21.19%	467	73	84.37%	9	1661	2984	55.66%	1546	2869	53.89%	719	1295	55.52%	2090	1460	1852	598	1017	521
2039	18	7	7	0	2	2	0	0	49	43	6	10	4	5	0	0	1	0	0	28	29	-1	8	3	2	0	2	1	0	0	21	14	7	20	49	87	136	0	3	14	23	10	2	607	204	228	165	10	529	141	253	400	93	12	12.90%	97	19	80.41%	0	387	703	55.05%	369	651	56.68%	132	249	53.01%	458	321	408	131	219	111
Total Saison régulière	1658	578	826	0	50	61	67	76	5043	5844	-801	830	305	394	0	23	37	33	38	2548	2864	-316	828	273	432	0	27	24	34	38	2495	2980	-485	1448	5043	8744	13787	25	55	232	1752	1659	1304	48928	2016	16162	16274	14122	54015	15874	21157	37407	7700	1399	18.17%	7991	1655	79.29%	88	27855	54688	50.93%	27960	57167	48.91%	13322	26495	50.28%	38592	25626	39368	13058	22655	11248
Séries éliminatoires
2020	23	16	7	0	0	0	0	0	78	54	24	11	7	4	0	0	0	0	0	41	33	8	12	9	3	0	0	0	0	0	37	21	16	32	78	129	207	0	0	0	15	30	31	807	0	257	236	282	662	217	359	579	78	12	15.38%	63	11	82.54%	0	340	649	52.39%	274	542	50.55%	178	345	51.59%	556	333	476	219	431	215
2021	5	1	4	0	0	0	0	0	16	21	-5	2	1	1	0	0	0	0	0	7	7	0	3	0	3	0	0	0	0	0	9	14	-5	2	16	27	43	0	0	0	5	5	5	193	0	73	52	64	197	62	51	121	25	6	24.00%	23	3	86.96%	0	135	231	58.44%	91	207	43.96%	50	94	53.19%	118	81	129	35	63	31
2022	7	3	4	0	0	0	0	0	13	17	-4	3	1	2	0	0	0	0	0	4	7	-3	4	2	2	0	0	0	0	0	9	10	-1	6	13	22	35	0	1	0	5	4	4	198	0	74	62	62	243	57	85	161	38	9	23.68%	34	7	79.41%	0	111	236	47.03%	144	285	50.53%	50	99	50.51%	159	107	174	52	86	42
2025	5	1	4	0	0	0	0	0	11	19	-8	2	1	1	0	0	0	0	0	6	6	0	3	0	3	0	0	0	0	0	5	13	-8	2	11	19	30	0	0	0	6	2	3	122	0	49	38	35	184	40	94	115	27	3	11.11%	36	10	72.22%	1	76	147	51.70%	98	190	51.58%	35	78	44.87%	107	72	130	38	62	29
2037	9	5	4	0	0	0	0	0	37	33	4	4	2	2	0	0	0	0	0	15	14	1	5	3	2	0	0	0	0	0	22	19	3	10	37	61	98	0	0	8	13	15	1	304	89	106	86	23	306	101	147	256	45	10	22.22%	59	13	77.97%	0	176	343	51.31%	167	358	46.65%	88	163	53.99%	226	157	224	70	118	59
2038	6	2	4	0	0	0	0	0	14	20	-6	3	0	3	0	0	0	0	0	7	14	-7	3	2	1	0	0	0	0	0	7	6	1	4	14	25	39	0	1	7	2	5	0	158	60	58	39	1	170	50	82	132	25	6	24.00%	31	8	74.19%	1	96	184	52.17%	110	216	50.93%	44	85	51.76%	142	97	145	45	77	39
Total Séries éliminatoires	55	28	27	0	0	0	0	0	169	164	5	25	12	13	0	0	0	0	0	80	81	-1	30	16	14	0	0	0	0	0	89	83	6	56	169	283	452	0	2	15	46	61	44	1782	149	617	513	467	1762	527	818	1364	238	46	19.33%	246	52	78.86%	2	934	1790	52.18%	884	1798	49.17%	445	864	51.50%	1310	848	1281	462	839	417

Oilers Leaders statistiques (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Ryan Getzlaf	40	21	21	42	0	47	131	72	157	13.38%	18	972	24.32	8	8	16	33	1	0	1	8	5	1	56.50%	1	0.86
2	Ryan Kesler	35	10	20	30	-9	53	80	106	122	8.20%	13	781	22.34	2	8	10	20	0	0	0	3	1	0	55.24%	0	0.77
3	Thomas Vanek	40	16	14	30	2	20	37	37	133	12.03%	13	808	20.22	4	4	8	19	0	0	0	0	3	2	32.56%	0	0.74
4	Nicklas Backstrom	33	8	22	30	14	25	46	85	103	7.77%	16	656	19.90	1	4	5	17	0	1	1	5	1	1	51.61%	0	0.91
5	Niklas Kronvall	40	6	20	26	8	43	65	60	84	7.14%	50	1097	27.43	1	3	4	25	0	0	0	1	1	1	0.00%	0	0.47

Oilers Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A
1	Marc-Andre Fleury	23	16	3	4	0.918	2.22	1463	0	0	54	662	275	4
2	James Howard	17	5	11	1	0.907	3.38	995	2	1	56	602	0	1
3	Linus Ullmark	8	5	3	0	0.897	3.31	508	0	0	28	271	0	0
4	Jesper Wallstedt	7	2	4	1	0.866	3.81	394	0	1	25	187	0	0
5	Darcy Kuemper	1	0	0	0	0.955	1.82	33	0	0	1	22	0	0