Canadian Hockey League

BaronsOKC
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Team Leaders

Team Stats

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager	Martin Paradis
	Coach	Kris Knoblauch
	Division	Pacific
	Conference	Western
	Captain
	Assistant #1
	Assistant #2
Uniforms

Arena Info
	Name	Rexall Place
	Capacity	25,000
	Attendance
	Season Tickets	10,000
Roster Info
	Pro Team	23
	Farm Team	32
	Contract Limit	55 / 50
	Prospects	16
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	90,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	16
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	152,087,348$
	Projected Bank Account	152,087,348$
Team History
	This Season	0-0-0 (0PTS)
	History	737-841-130 (0.431%)
	Playoff Appearances	7
	Playoff Record (W-L)	32-33
	Stanley Cup	1

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Brady Tkachuk		X			100.00	99	69	66	88	82	83	84	85	93	91	80	71	53	78	81	55	20	78	0	26	4	8,000,000$
2	Joel Eriksson-Ek	X				100.00	75	53	81	85	71	87	91	75	84	77	72	81	57	82	85	45	27	75	0	28	1	5,500,000$
3	J.T. Miller	X				100.00	82	54	80	88	67	88	89	77	97	83	71	66	75	90	89	25	20	75	0	32	2	7,500,000$
4	Marco Rossi	X				100.00	62	41	86	90	46	84	77	74	84	78	70	68	73	74	79	65	20	71	0	24	1	5,500,000$
5	Adam Lowry	X				100.00	90	67	81	75	76	79	91	57	90	59	56	83	40	90	85	25	20	69	0	32	0	0$
6	Jake DeBrusk		X			100.00	59	49	87	83	62	83	98	66	40	59	73	69	77	84	84	40	20	69	0	29	0	0$
7	Michael Bunting		X			100.00	54	45	85	83	54	79	94	63	40	61	66	61	73	86	83	35	26	66	0	30	1	4,500,000$
8	Adam Henrique	X				100.00	52	47	84	78	59	77	87	54	89	55	54	82	57	96	87	10	20	65	0	35	0	0$
9	Nathan Walker		X			100.00	99	43	78	80	51	74	75	55	89	52	57	69	40	88	81	30	20	64	0	31	1	575,000$
10	Justin Danforth	X				100.00	88	41	84	82	47	60	50	59	85	56	62	76	40	90	75	25	20	64	0	32	0	0$
11	Mason Appleton	X				100.00	72	49	76	76	63	77	87	54	40	50	58	72	40	84	81	40	20	63	0	29	3	2,400,000$
12	Matthew Peca			X		100.00	65	41	84	81	47	72	62	56	70	66	46	50	40	90	81	25	20	60	0	32	2	575,000$
13	Jacob Trouba				X	100.00	81	57	82	80	73	88	98	65	40	65	65	83	40	88	88	30	20	76	0	31	2	5,000,000$
14	Mikhail Sergachev				X	100.00	51	54	79	87	73	90	96	79	40	92	66	80	73	80	85	50	20	76	0	27	1	6,600,000$
15	Joshua Morrissey				X	100.00	51	47	82	90	59	91	96	78	40	84	72	75	40	86	89	35	20	75	0	30	4	9,000,000$
16	Nick Seeler				X	100.00	77	56	81	75	66	79	98	51	40	46	56	80	40	90	85	25	20	70	0	32	2	3,500,000$
17	Sean Durzi				X	100.00	56	48	73	83	61	82	84	65	40	70	60	67	40	80	81	50	20	68	0	27	2	5,000,000$
18	Philippe Myers				X	100.00	73	59	79	75	82	74	70	47	40	44	50	69	40	82	78	45	20	65	0	28	1	575,000$
Scratches
1	Tim Stutzle	X				100.00	77	48	80	95	55	89	98	88	88	90	85	79	88	72	81	70	20	80	0	23	6	9,000,000$
2	Mavrik Bourque	X				100.00	62	44	85	85	53	80	99	66	80	61	70	68	40	72	76	70	20	68	0	23	0	0$
3	Isac Lundestrom	X				100.00	52	47	89	76	59	75	89	52	87	50	55	68	40	78	77	55	20	62	0	26	0	0$
Farm Team
1	Noah Laba	X				100.00	75	57	82	76	74	77	94	58	86	57	60	74	40	70	74	75	20	66	0	22	2	925,000$
2	Mattias Janmark	X				100.00	45	52	80	75	68	74	72	53	40	53	52	69	40	92	83	20	20	61	0	33	2	2,000,000$
3	Ryan Carpenter	X				100.00	58	49	84	76	64	80	70	53	70	56	50	56	99	94	87	15	20	61	0	34	1	575,000$
4	Tyson Kozak	X				100.00	99	44	89	77	52	74	75	50	83	47	54	71	40	72	73	70	20	61	0	23	0	0$
5	Sandis Vilmanis		X			100.00	87	47	86	78	59	72	56	56	40	49	63	67	40	68	70	80	20	61	0	21	2	925,000$
6	Charles Hudon		X			100.00	79	44	73	85	51	60	50	64	40	60	54	55	40	88	74	30	20	60	0	31	2	575,000$
7	Kevin Labanc			X		100.00	60	44	83	82	52	60	50	59	40	54	55	57	81	86	73	35	20	59	0	30	2	975,000$
8	Zach Sanford		X			100.00	59	54	73	75	71	60	50	50	40	48	52	56	73	88	74	30	20	57	0	31	1	575,000$
9	Nail Yakupov			X		100.00	81	46	83	77	57	60	50	50	40	52	47	50	40	90	75	25	20	56	0	32	0	0$
10	Jonathan Aspirot				X	100.00	73	61	76	77	67	77	85	55	40	53	56	78	40	78	78	55	20	68	0	26	0	0$
11	Erik Gustafsson				X	100.00	51	47	74	84	56	55	50	66	40	70	43	70	40	92	74	20	20	63	0	33	2	2,000,000$
12	Urho Vaakanainen				X	100.00	48	51	82	75	66	73	66	52	40	54	50	72	40	78	76	55	20	63	0	26	2	1,000,000$
13	Scott Perunovich				X	100.00	50	40	73	83	45	68	63	59	40	70	47	64	40	80	74	50	20	62	0	27	2	2,000,000$
14	Nikita Okhotyuk				X	100.00	99	48	72	76	61	55	50	52	40	53	52	60	40	76	66	60	20	61	0	25	2	2,000,000$
15	Kevin Korchinski				X	100.00	47	46	84	76	56	72	52	51	40	53	50	66	40	68	70	80	20	60	0	21	1	925,000$
16	Marc-Edouard Vlasic				X	100.00	43	51	89	75	66	55	50	50	40	46	55	60	40	99	77	0	20	59	0	38	1	1,000,000$
17	Kale Clague				X	100.00	57	46	79	75	56	71	66	44	40	42	47	50	40	80	76	50	20	57	0	27	2	575,000$
18	Alex Bump (R)		X			100.00	62	47	88	84	59	76	55	67	40	59	74	66	40	70	73	75	20	65	0	22	0	0$
19	Dans Locmelis (R)	X				100.00	42	32	87	90	51	60	50	52	70	45	59	70	40	68	64	80	20	58	0	21	0	0$
20	Matthew Maggio		X			100.00	55	56	80	75	53	72	62	46	40	47	46	57	90	72	72	70	20	55	0	23	1	925,000$
21	Sam Lipkin (R)		X			100.00	58	47	76	75	67	60	50	32	40	33	32	70	40	70	65	75	20	51	0	22	2	925,000$
22	Ryan Hofer			X		100.00	57	51	86	75	63	60	50	29	70	27	30	59	40	72	66	70	20	48	0	23	1	925,000$
23	Fabian Wagner (R)		X			100.00	54	43	87	75	49	60	50	29	40	26	33	51	40	68	64	80	20	46	0	21	2	925,000$
24	Joel Nystrom (R)				X	100.00	46	42	87	81	48	75	69	56	40	59	53	70	40	72	74	70	20	63	0	23	0	0$
25	Taige Harding (R)				X	100.00	85	75	45	72	94	55	50	34	40	30	38	59	40	72	64	70	20	58	0	23	0	0$
26	Ludvig Jansson (R)				X	100.00	44	35	82	89	52	55	50	42	40	41	42	60	40	70	63	75	20	56	0	22	0	0$
27	Marc-Andre Gaudet (R)				X	100.00	53	40	85	83	65	57	52	42	40	43	42	50	40	70	64	75	20	55	0	22	0	0$
28	Michael Buchinger (R)				X	100.00	62	50	79	75	57	62	57	35	40	27	43	54	40	68	65	80	20	54	0	21	2	925,000$

	TEAM AVERAGE					100.00	65	49	81	80	61	72	71	56	55	56	56	66	49	80	76	49	20	63

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Andrei Vasilevskiy	100.00	94	99	99	98	95	95	95	94	93	92	97	88	92	30	20	92	0	31	4	8,500,000$
2	Antoine Bibeau	100.00	75	50	60	92	50	50	50	50	50	50	63	88	69	30	20	59	0	31	2	575,000$
Scratches
Farm Team
1	Chris Driedger	100.00	80	50	60	95	50	50	50	50	50	50	90	88	69	30	20	59	0	31	2	975,000$
2	Olivier Rodrigue	100.00	81	50	60	78	50	50	50	50	50	50	76	76	63	60	20	57	0	25	2	975,000$
3	Zachary Emond	100.00	75	50	60	87	50	50	50	50	50	50	75	76	63	60	20	57	0	25	2	575,000$
4	Arsenii Sergeev (R)	100.00	70	55	60	92	50	50	50	50	50	50	40	72	61	70	20	57	0	23	0	0$

	TEAM AVERAGE	100.00	79	59	67	90	58	58	58	57	57	57	74	81	70	47	20	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kris Knoblauch	74	75	94	80	83	79	74	CAN	48	3	1,500,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2040	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2041	2042	2043	2044	2045	2046	Link
Adam Henrique	Oilers	C	35	1990-02-06	No	195 Lbs	6 ft0	No	No	Yes	0	Pro Only	UFA	0$	0$	No							Link / NHL Link
Adam Lowry	Oilers	C	32	1993-03-29	No	210 Lbs	6 ft5	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No							Link / NHL Link
Andrei Vasilevskiy	Oilers	G	31	1994-07-25	No	207 Lbs	6 ft5	No	No	Yes	4	Pro Only	8,500,000$	8,500,000$	8,500,000$	No	8,500,000$	8,500,000$	8,500,000$	UFA			Link / NHL Link
Antoine Bibeau	Oilers	G	31	1994-05-01	No	210 Lbs	6 ft2	No	No	No	2	Pro & Farm	575,000$	575,000$	575,000$	No	575,000$	UFA					Link / NHL Link
Brady Tkachuk	Oilers	LW	26	1999-09-16	No	226 Lbs	6 ft4	No	No	Yes	4	Pro Only	8,000,000$	8,000,000$	8,000,000$	No	8,000,000$	8,000,000$	8,000,000$	UFA			Link / NHL Link
Isac Lundestrom	Oilers	C	26	1999-11-06	No	192 Lbs	6 ft1	No	No	No	0	Pro & Farm	RFA	0$	0$	No							Link / NHL Link
J.T. Miller	Oilers	C	32	1993-03-14	No	211 Lbs	6 ft0	No	No	Yes	2	Pro Only	7,500,000$	7,500,000$	7,500,000$	No	7,500,000$	UFA					Link / NHL Link
Jacob Trouba	Oilers	D	31	1994-02-26	No	212 Lbs	6 ft3	No	No	Yes	2	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	UFA					Link / NHL Link
Jake DeBrusk	Oilers	LW	29	1996-10-17	No	198 Lbs	6 ft1	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No							Link / NHL Link
Joel Eriksson-Ek	Oilers	C	28	1997-01-29	No	207 Lbs	6 ft3	No	No	Yes	1	Pro Only	5,500,000$	5,500,000$	5,500,000$	No	UFA						Link / NHL Link
Joshua Morrissey	Oilers	D	30	1995-03-28	No	195 Lbs	6 ft0	No	No	Yes	4	Pro Only	9,000,000$	9,000,000$	9,000,000$	No	9,000,000$	9,000,000$	9,000,000$	UFA			Link / NHL Link
Justin Danforth	Oilers	C	32	1993-03-15	No	188 Lbs	5 ft8	No	No	No	0	Pro & Farm	UFA	0$	0$	No							Link / NHL Link
Marco Rossi	Oilers	C	24	2001-09-23	No	182 Lbs	5 ft9	No	No	Yes	1	Pro Only	5,500,000$	5,500,000$	5,500,000$	No	RFA						Link / NHL Link
Mason Appleton	Oilers	C	29	1996-01-15	No	196 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	2,400,000$	2,400,000$	2,400,000$	No	2,400,000$	2,400,000$	UFA				Link / NHL Link
Matthew Peca	Oilers	RW	32	1993-04-27	No	180 Lbs	5 ft10	No	No	No	2	Pro & Farm	575,000$	575,000$	575,000$	No	575,000$	UFA					Link / NHL Link
Mavrik Bourque	Oilers	C	23	2002-01-08	No	187 Lbs	5 ft11	No	No	No	0	Pro & Farm	RFA	0$	0$	No							Link / NHL Link
Michael Bunting	Oilers	LW	30	1995-09-17	No	186 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	No	UFA						Link / NHL Link
Mikhail Sergachev	Oilers	D	27	1998-06-25	No	212 Lbs	6 ft3	No	No	Yes	1	Pro Only	6,600,000$	6,600,000$	6,600,000$	No	UFA						Link / NHL Link
Nathan Walker	Oilers	LW	31	1994-02-07	No	191 Lbs	5 ft9	No	No	No	1	Pro & Farm	575,000$	575,000$	575,000$	No	UFA						Link / NHL Link
Nick Seeler	Oilers	D	32	1993-06-03	No	197 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	UFA					Link / NHL Link
Philippe Myers	Oilers	D	28	1997-01-25	No	221 Lbs	6 ft5	No	No	No	1	Pro & Farm	575,000$	575,000$	575,000$	No	UFA						Link / NHL Link
Sean Durzi	Oilers	D	27	1998-10-21	No	196 Lbs	6 ft1	No	No	Yes	2	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	UFA					Link / NHL Link
Tim Stutzle	Oilers	C	23	2002-01-15	No	187 Lbs	6 ft0	No	No	Yes	6	Pro Only	9,000,000$	9,000,000$	9,000,000$	No	9,000,000$	9,000,000$	9,000,000$	9,000,000$	9,000,000$	UFA	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	29.09	199 Lbs	6 ft1	1.70	3,578,261$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
82,300,000$	59,050,000$	36,900,000$	34,500,000$	9,000,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brady Tkachuk	Bo Horvat	J.T. Miller	40	1	2	2
2	Jake DeBrusk	Marco Rossi		30	1	2	2
3	Mason Appleton	Adam Lowry	Matthew Peca	20	1	2	2
4	J.T. Miller	Adam Henrique		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Mikhail Sergachev	Joshua Morrissey	40	1	2	2
2	Jacob Trouba	Nick Seeler	30	1	2	2
3	Philippe Myers	Sean Durzi	20	1	2	2
4	Mikhail Sergachev	Joshua Morrissey	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brady Tkachuk	Bo Horvat	J.T. Miller	60	1	2	2
2	Jake DeBrusk	Marco Rossi		40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Mikhail Sergachev	Joshua Morrissey	60	1	2	2
2	Jacob Trouba	Nick Seeler	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	J.T. Miller		60	1	2	2
2	Brady Tkachuk	Bo Horvat	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Mikhail Sergachev	Joshua Morrissey	60	1	2	2
2	Jacob Trouba	Nick Seeler	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	J.T. Miller	60	1	2	2	Mikhail Sergachev	Joshua Morrissey	60	1	2	2
2		40	1	2	2	Jacob Trouba	Nick Seeler	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	J.T. Miller		60	1	2	2
2	Brady Tkachuk	Bo Horvat	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Mikhail Sergachev	Joshua Morrissey	60	1	2	2
2	Jacob Trouba	Nick Seeler	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brady Tkachuk	Bo Horvat	J.T. Miller	Mikhail Sergachev	Joshua Morrissey

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brady Tkachuk	Bo Horvat	J.T. Miller	Mikhail Sergachev	Joshua Morrissey

Extra Forwards
Normal	PowerPlay	Penalty Kill
Justin Danforth, Nathan Walker, Adam Lowry	Justin Danforth, Nathan Walker	Adam Lowry

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Philippe Myers, Sean Durzi, Jacob Trouba	Philippe Myers	Sean Durzi, Jacob Trouba

Penalty Shots
J.T. Miller, , Brady Tkachuk, Bo Horvat, Marco Rossi

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

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0.00%	0	0	0.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link

Depth Chart

Left Wing

Center

Right Wing

Brady Tkachuk

AGE:26
SK:		88
EN:		83
DU:		84
PH:		85
PA:		91
SC:		80
DF:		71
Jake DeBrusk

AGE:29
SK:		83
EN:		83
DU:		98
PH:		66
PA:		59
SC:		73
DF:		69
Michael Bunting

AGE:30
SK:		83
EN:		79
DU:		94
PH:		63
PA:		61
SC:		66
DF:		61
Alex Bump (R)

AGE:22
SK:		84
EN:		76
DU:		55
PH:		67
PA:		59
SC:		74
DF:		66
Nathan Walker

AGE:31
SK:		80
EN:		74
DU:		75
PH:		55
PA:		52
SC:		57
DF:		69
Sandis Vilmanis

AGE:21
SK:		78
EN:		72
DU:		56
PH:		56
PA:		49
SC:		63
DF:		67
Charles Hudon

AGE:31
SK:		85
EN:		60
DU:		50
PH:		64
PA:		60
SC:		54
DF:		55
Zach Sanford

AGE:31
SK:		75
EN:		60
DU:		50
PH:		50
PA:		48
SC:		52
DF:		56
Matthew Maggio

AGE:23
SK:		75
EN:		72
DU:		62
PH:		46
PA:		47
SC:		46
DF:		57
Sam Lipkin (R)

AGE:22
SK:		75
EN:		60
DU:		50
PH:		32
PA:		33
SC:		32
DF:		70
Fabian Wagner (R)

AGE:21
SK:		75
EN:		60
DU:		50
PH:		29
PA:		26
SC:		33
DF:		51

Tim Stutzle

AGE:23
SK:		95
EN:		89
DU:		98
PH:		88
PA:		90
SC:		85
DF:		79
Joel Eriksson-Ek

AGE:28
SK:		85
EN:		87
DU:		91
PH:		75
PA:		77
SC:		72
DF:		81
J.T. Miller

AGE:32
SK:		88
EN:		88
DU:		89
PH:		77
PA:		83
SC:		71
DF:		66
Marco Rossi

AGE:24
SK:		90
EN:		84
DU:		77
PH:		74
PA:		78
SC:		70
DF:		68
Adam Lowry

AGE:32
SK:		75
EN:		79
DU:		91
PH:		57
PA:		59
SC:		56
DF:		83
Mavrik Bourque

AGE:23
SK:		85
EN:		80
DU:		99
PH:		66
PA:		61
SC:		70
DF:		68
Noah Laba

AGE:22
SK:		76
EN:		77
DU:		94
PH:		58
PA:		57
SC:		60
DF:		74
Adam Henrique

AGE:35
SK:		78
EN:		77
DU:		87
PH:		54
PA:		55
SC:		54
DF:		82
Justin Danforth

AGE:32
SK:		82
EN:		60
DU:		50
PH:		59
PA:		56
SC:		62
DF:		76
Mason Appleton

AGE:29
SK:		76
EN:		77
DU:		87
PH:		54
PA:		50
SC:		58
DF:		72
Isac Lundestrom

AGE:26
SK:		76
EN:		75
DU:		89
PH:		52
PA:		50
SC:		55
DF:		68
Tyson Kozak

AGE:23
SK:		77
EN:		74
DU:		75
PH:		50
PA:		47
SC:		54
DF:		71
Mattias Janmark

AGE:33
SK:		75
EN:		74
DU:		72
PH:		53
PA:		53
SC:		52
DF:		69
Ryan Carpenter

AGE:34
SK:		76
EN:		80
DU:		70
PH:		53
PA:		56
SC:		50
DF:		56
Dans Locmelis (R)

AGE:21
SK:		90
EN:		60
DU:		50
PH:		52
PA:		45
SC:		59
DF:		70

Matthew Peca

AGE:32
SK:		81
EN:		72
DU:		62
PH:		56
PA:		66
SC:		46
DF:		50
Kevin Labanc

AGE:30
SK:		82
EN:		60
DU:		50
PH:		59
PA:		54
SC:		55
DF:		57
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:		29
PA:		27
SC:		30
DF:		59

Defense #1

Defense #2

Goalie

Mikhail Sergachev

AGE:27
SK:		87
EN:		90
DU:		96
PH:		79
PA:		92
SC:		66
DF:		80
Jacob Trouba

AGE:31
SK:		80
EN:		88
DU:		98
PH:		65
PA:		65
SC:		65
DF:		83
Joshua Morrissey

AGE:30
SK:		90
EN:		91
DU:		96
PH:		78
PA:		84
SC:		72
DF:		75
Nick Seeler

AGE:32
SK:		75
EN:		79
DU:		98
PH:		51
PA:		46
SC:		56
DF:		80
Jonathan Aspirot

AGE:26
SK:		77
EN:		77
DU:		85
PH:		55
PA:		53
SC:		56
DF:		78
Sean Durzi

AGE:27
SK:		83
EN:		82
DU:		84
PH:		65
PA:		70
SC:		60
DF:		67
Philippe Myers

AGE:28
SK:		75
EN:		74
DU:		70
PH:		47
PA:		44
SC:		50
DF:		69
Joel Nystrom (R)

AGE:23
SK:		81
EN:		75
DU:		69
PH:		56
PA:		59
SC:		53
DF:		70
Urho Vaakanainen

AGE:26
SK:		75
EN:		73
DU:		66
PH:		52
PA:		54
SC:		50
DF:		72
Erik Gustafsson

AGE:33
SK:		84
EN:		55
DU:		50
PH:		66
PA:		70
SC:		43
DF:		70

Scott Perunovich

AGE:27
SK:		83
EN:		68
DU:		63
PH:		59
PA:		70
SC:		47
DF:		64
Nikita Okhotyuk

AGE:25
SK:		76
EN:		55
DU:		50
PH:		52
PA:		53
SC:		52
DF:		60
Kevin Korchinski

AGE:21
SK:		76
EN:		72
DU:		52
PH:		51
PA:		53
SC:		50
DF:		66
Marc-Edouard Vlasic

AGE:38
SK:		75
EN:		55
DU:		50
PH:		50
PA:		46
SC:		55
DF:		60
Taige Harding (R)

AGE:23
SK:		72
EN:		55
DU:		50
PH:		34
PA:		30
SC:		38
DF:		59
Kale Clague

AGE:27
SK:		75
EN:		71
DU:		66
PH:		44
PA:		42
SC:		47
DF:		50
Ludvig Jansson (R)

AGE:22
SK:		89
EN:		55
DU:		50
PH:		42
PA:		41
SC:		42
DF:		60
Marc-Andre Gaudet (R)

AGE:22
SK:		83
EN:		57
DU:		52
PH:		42
PA:		43
SC:		42
DF:		50
Michael Buchinger (R)

AGE:21
SK:		75
EN:		62
DU:		57
PH:		35
PA:		27
SC:		43
DF:		54

Andrei Vasilevskiy

AGE:31
SK:		94
AG:		95
RB:		95
SC:		95
HS:		94
RT:		93
DF:		92
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
Arsenii Sergeev (R)

AGE:23
SK:		70
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

Prospects

Show or Hide Column

Filter Tips

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

Prospect	Team Name	Draft Year	Overall Pick
Aidan Hreschuk	Oilers	2035	107
Albert Sjoberg	Oilers	2036	169
Daniil Orlov	Oilers	2036	135
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
Joe Vrbetic	Oilers	2036	189
Joey Muldowney	Oilers	2036	202
Luke Devlin	Oilers	2036	213
Maxim Barbashev	Oilers	2036	143
Nikita Guslistov	Oilers	2036	166
Roman Shokhrin	Oilers	2038	198

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2041
2042
2043

Oilers Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	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 Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	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	Andrei Vasilevskiy	82	51	22	9	0.915	2.50	4893	16	6	204	2386	0	4	0	0.800	25

Oilers Career Team Stats

Show or Hide Column

	Overall											Home											Visitor
Year	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
Regular Season
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	82	44	22	0	3	6	4	3	274	212	62	41	26	10	0	0	3	2	0	149	107	42	41	18	12	0	3	3	2	3	125	105	20	111	274	478	752	0	6	92	102	73	10	2522	813	893	774	69	2429	752	1093	1905	372	69	18.55%	458	74	83.84%	2	1574	2915	54.00%	1616	2978	54.26%	678	1250	54.24%	1996	1368	1946	614	1033	518
Total Regular Season	1722	615	841	0	51	65	71	79	5268	6013	-745	861	327	399	0	23	39	35	38	2669	2942	-273	861	288	442	0	28	26	36	41	2599	3071	-472	1539	5268	9135	14403	25	58	310	1831	1722	1312	50843	2625	16827	16883	14181	55915	16485	21997	38912	7979	1456	18.25%	8352	1710	79.53%	90	29042	56900	51.04%	29207	59494	49.09%	13868	27496	50.44%	40129	26673	40906	13542	23468	11655
Playoff
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
2039	10	4	6	0	0	0	0	0	31	38	-7	5	1	4	0	0	0	0	0	10	18	-8	5	3	2	0	0	0	0	0	21	20	1	8	31	59	90	0	0	10	6	14	1	316	94	100	107	15	358	105	160	223	37	6	16.22%	68	15	77.94%	0	203	374	54.28%	237	433	54.73%	83	166	50.00%	261	180	254	80	138	68
Total Playoff	65	32	33	0	0	0	0	0	200	202	-2	30	13	17	0	0	0	0	0	90	99	-9	35	19	16	0	0	0	0	0	110	103	7	64	200	342	542	0	2	25	52	75	45	2098	243	717	620	482	2120	632	978	1587	275	52	18.91%	314	67	78.66%	2	1137	2164	52.54%	1121	2231	50.25%	528	1030	51.26%	1571	1028	1535	542	977	486

Oilers Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	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 Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	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	Andrei Vasilevskiy	10	4	3	3	0.894	3.49	654	0	0	38	358	0	1
5	Jesper Wallstedt	7	2	4	1	0.866	3.81	394	0	1	25	187	0	0