COACH - EDMONTON OILERS

EDMONTON BUSCHWACKERS
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
Web Lines Editor

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
1	Chris Stewart			X		100.00	94	90	40	55	82	71	85	77	51	71	79	66	81	99	99	0	50	71	0
2	Jujhar Khaira (R)	X	X			100.00	67	64	39	78	82	76	78	65	40	69	63	64	49	79	68	0	59	66	2
3	Michael Rasmussen (R)	X	X	X		100.00	80	52	48	76	79	76	71	66	64	64	69	62	58	72	62	0	59	66	1
4	Sven Andrighetto		X	X		100.00	68	45	73	71	75	81	79	65	42	63	65	62	45	78	74	0	56	65	2
5	Lauri Korpikoski	X	X			100.00	32	31	99	61	77	77	83	55	68	52	49	86	65	95	99	0	56	63	0
6	Max Jones (R)		X			100.00	90	75	45	75	75	73	77	56	53	59	65	61	59	63	65	0	56	63	1
7	Cameron Abney			X		100.00	8	1	99	66	73	74	71	64	44	59	60	73	58	77	83	0	47	62	2
8	Oliver Wahlstrom (R)			X		100.00	60	15	69	69	64	70	68	66	56	59	61	62	60	58	60	0	53	61	2
9	Cliff Pu (R)	X		X		100.00	34	24	66	69	70	63	63	69	45	61	58	58	49	63	66	0	56	60	2
10	Blake Geoffrion	X	X			100.00	9	11	99	64	76	43	65	63	71	52	67	54	64	93	92	0	56	59	0
11	Vaclav Karabacek (R)			X		100.00	32	13	96	66	74	62	76	60	41	61	58	55	56	70	66	0	56	59	2
12	Janne Kuokkanen (R)	X	X			100.00	40	18	99	70	71	55	65	58	60	55	53	61	54	68	59	0	56	58	2
13	Beat Forster				X	100.00	24	1	99	70	71	98	74	99	38	99	84	72	73	99	99	0	56	76	2
14	Alex Goligoski				X	100.00	13	1	99	67	72	73	78	97	50	88	90	72	66	87	89	0	56	72	0
15	Keegan Lowe				X	100.00	98	98	11	69	74	59	68	39	63	59	45	89	56	66	66	0	59	67	2
16	Theo Ruth				X	100.00	45	37	73	58	79	55	64	67	50	78	64	78	67	88	86	0	56	66	0
17	Ville Pokka (R)				X	100.00	39	24	87	59	82	73	74	76	43	73	57	68	46	73	78	0	56	65	2
18	David Liffiton				X	100.00	99	99	1	62	79	35	56	40	55	27	42	68	63	99	99	0	48	60	0
Scratches
1	Boris Katchouk		X			100.00	45	29	86	65	68	54	67	52	38	65	62	62	45	55	51	0	42	58	2
2	Jonas Røndbjerg (R)			X		100.00	40	20	83	68	68	59	61	54	39	54	54	57	56	55	61	0	45	56	2
3	Matt Nickerson				X	100.00	29	20	99	68	72	52	69	49	56	60	50	76	74	99	89	0	45	63	2
4	Andrey Zubarev			X	X	100.00	55	20	99	57	78	69	77	40	43	36	27	71	56	90	88	0	45	61	2
5	Matthew Cairns (R)				X	100.00	55	40	66	64	69	58	60	56	44	68	44	60	30	54	60	0	45	58	2
6	Kasper Kotkansalo (R)				X	100.00	41	14	81	64	68	61	64	56	40	60	53	63	44	58	53	0	45	58	2
7	Adam Ginning (R)				X	100.00	76	12	77	60	58	59	60	53	44	53	50	58	45	54	59	0	42	57	2
8	Nico Gross (R)				X	100.00	16	8	89	69	65	67	63	58	33	50	45	58	44	46	54	0	42	55	2

	TEAM AVERAGE					100.00	50	33	74	66	73	65	70	62	49	61	58	66	56	75	74	0	52	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
1	Jake Allen	100.00	70	78	86	76	78	92	82	75	86	80	58	93	83	0	53	79	1
2	Anthony Stolarz (R)	98.00	57	74	76	87	73	78	69	65	66	67	68	77	72	0	56	70	2
Scratches
1	Stuart Skinner (R)	100.00	63	63	65	68	65	63	60	58	61	62	58	60	57	0	45	61	2
2	Olivier Rodrigue (R)	100.00	65	59	57	67	58	64	63	59	68	58	59	56	60	0	42	60	2

	TEAM AVERAGE	99.50	64	69	71	75	69	74	69	64	70	67	61	72	68	0	49	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Claude Noel	76	70	76	71	94	90	6	CAN	59	1	1,017,500$

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	P/20	FW	S1	S2	S3
1	Beat Forster	EDMONTON OILERS (EDM)	D	5	0	5	5	4	0	0	1	4	21	4	13	0.00%	3	136	27.36	0	1	1	4	20	0	0	0	0	11	0	0	0.00%	0	6	4	0.73	0	0	1	0
2	Sven Andrighetto	EDMONTON OILERS (EDM)	LW/RW	5	2	3	5	5	0	0	8	7	11	2	4	18.18%	0	84	16.80	1	0	1	1	15	0	0	0	0	0	1	0	42.86%	7	3	1	1.19	0	0	1	2
3	Alex Goligoski	EDMONTON OILERS (EDM)	D	5	0	4	4	4	0	0	0	7	14	4	3	0.00%	2	108	21.78	0	0	0	1	13	0	1	1	0	7	0	0	0.00%	0	2	4	0.73	0	1	0	0
4	Matt Carle	EDMONTON BUSCHWACKERS	D	4	1	2	3	3	6	0	13	13	7	3	5	14.29%	5	104	26.16	0	0	0	0	19	0	0	0	0	5	0	0	0.00%	0	1	5	0.57	0	0	0	1
5	Joel Broda	EDMONTON BUSCHWACKERS	C	4	2	1	3	3	0	0	4	3	9	2	7	22.22%	1	75	18.91	0	1	1	0	13	0	0	0	0	9	1	0	51.43%	35	0	1	0.79	0	0	0	1
6	Marc-Olivier Roy	EDMONTON BUSCHWACKERS	C	4	2	1	3	1	0	0	1	4	20	11	11	10.00%	1	89	22.48	0	0	0	1	16	0	0	0	0	9	0	0	44.78%	134	3	0	0.67	0	0	0	0
7	Jujhar Khaira	EDMONTON OILERS (EDM)	C/LW	5	1	2	3	2	9	5	13	5	12	2	11	8.33%	1	102	20.51	0	0	0	1	17	0	0	0	0	4	0	0	33.33%	12	1	3	0.58	1	0	0	0
8	Blake Geoffrion	EDMONTON OILERS (EDM)	C/LW	5	1	1	2	1	0	0	0	1	5	4	5	20.00%	0	39	7.99	0	0	0	0	0	0	0	0	0	0	1	0	50.00%	16	3	1	1.00	0	0	0	0
9	Lauri Korpikoski	EDMONTON OILERS (EDM)	C/LW	5	1	1	2	1	0	0	1	4	6	1	1	16.67%	1	62	12.54	0	0	0	0	0	0	0	0	0	2	0	0	72.00%	25	0	1	0.64	0	1	0	0
10	Michael Rasmussen	EDMONTON OILERS (EDM)	C/LW/RW	5	1	1	2	2	11	5	12	5	10	1	11	10.00%	1	102	20.42	0	0	0	0	18	0	0	0	0	3	1	0	45.45%	33	0	1	0.39	1	0	0	0
11	Theo Ruth	EDMONTON OILERS (EDM)	D	5	0	1	1	0	2	0	2	7	12	3	4	0.00%	1	67	13.47	0	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	0	1	0.30	0	0	0	0
12	Oliver Wahlstrom	EDMONTON OILERS (EDM)	RW	5	1	0	1	2	0	0	6	6	4	3	0	25.00%	0	80	16.05	0	0	0	0	14	0	0	0	0	0	0	1	0.00%	0	2	0	0.25	0	0	0	1
13	Vaclav Karabacek	EDMONTON OILERS (EDM)	RW	5	0	1	1	1	0	0	1	1	5	1	5	0.00%	0	39	7.91	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	1	0.51	0	0	0	0
14	Cameron Abney	EDMONTON OILERS (EDM)	RW	1	0	1	1	2	0	0	0	0	2	1	1	0.00%	0	14	14.82	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	0	0	1.35	0	0	0	0
15	Max Jones	EDMONTON OILERS (EDM)	LW	5	1	0	1	2	0	0	7	3	5	1	6	20.00%	2	65	13.15	0	0	0	0	2	0	0	0	0	1	0	0	0.00%	1	1	0	0.30	0	0	1	0
16	Cliff Pu	EDMONTON OILERS (EDM)	C/RW	5	1	0	1	-2	0	0	1	6	8	4	10	12.50%	1	69	13.81	0	0	0	0	1	1	0	1	1	4	0	0	40.00%	15	2	1	0.29	0	0	1	0
17	Janne Kuokkanen	EDMONTON OILERS (EDM)	C/LW	5	1	0	1	1	0	0	3	2	4	1	3	25.00%	0	39	7.86	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.51	0	0	0	0
18	David Liffiton	EDMONTON OILERS (EDM)	D	1	0	0	0	0	0	0	2	1	0	0	0	0.00%	0	13	13.67	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0
19	Ville Pokka	EDMONTON OILERS (EDM)	D	5	0	0	0	-1	0	0	0	8	4	1	2	0.00%	4	70	14.16	0	0	0	0	0	0	0	0	0	7	0	0	0.00%	0	0	2	0.00	0	0	0	0
20	Keegan Lowe	EDMONTON OILERS (EDM)	D	5	0	0	0	4	11	5	12	8	3	2	0	0.00%	2	97	19.42	0	0	0	0	13	0	0	0	0	4	0	0	0.00%	0	1	4	0.00	1	0	0	0
21	Chris Stewart	EDMONTON OILERS (EDM)	RW	1	0	0	0	-1	0	0	4	0	1	0	0	0.00%	0	14	14.05	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0.00	0	0	0	0
Team Total or Average				90	15	24	39	34	39	15	91	95	163	51	102	9.20%	25	1478	16.43	1	2	3	8	169	1	1	2	1	74	4	1	47.31%	279	26	30	0.53	3	2	4	5

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	PCT	GAA	MP	GA	SA	SAR	ST	BG	S1
1	Anthony Stolarz	EDMONTON OILERS (EDM)	4	3	0	0.959	1.23	195	4	98	51	3	2	1
2	Jake Allen	EDMONTON OILERS (EDM)	2	1	1	0.884	2.89	104	5	43	14	2	3	1
Team Total or Average			6	4	1	0.936	1.80	300	9	141	65	5	5	2

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	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Adam Ginning	EDMONTON OILERS (EDM)	D	19	1/13/2000 7:27:20 AM	Yes	192 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	600,000$	60,000$	56,690$	No
Alex Goligoski	EDMONTON OILERS (EDM)	D	34	7/30/1985	No	191 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	1,120,000$	112,000$	105,821$	No
Andrey Zubarev	EDMONTON OILERS (EDM)	RW/D	32	3/3/1987	No	224 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	580,000$	58,000$	54,800$	No
Anthony Stolarz	EDMONTON OILERS (EDM)	G	25	9/10/1994 3:10:58 AM	Yes	240 Lbs	6 ft6	No	No	No	1	RFA	Pro & Farm	400,000$	40,000$	37,793$	No
Beat Forster	EDMONTON OILERS (EDM)	D	37	8/7/1982 5:35:08 AM	No	184 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	750,000$	75,000$	70,862$	No
Blake Geoffrion	EDMONTON OILERS (EDM)	C/LW	31	2/3/1988	No	202 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	650,000$	65,000$	61,414$	No
Boris Katchouk	EDMONTON OILERS (EDM)	LW	21	6/1/1998 9:55:00 AM	No	207 Lbs	6 ft4	No	No	No	1	ELC	Pro & Farm	400,000$	40,000$	37,793$	No
Cameron Abney	EDMONTON OILERS (EDM)	RW	29	8/7/1990 5:32:53 AM	No	194 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	625,000$	62,500$	59,052$	No
Chris Stewart	EDMONTON OILERS (EDM)	RW	31	10/30/1987	No	240 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	1,425,000$	142,500$	134,638$	No	NHL Link
Cliff Pu	EDMONTON OILERS (EDM)	C/RW	21	5/3/1998 2:48:29 AM	Yes	197 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	500,000$	50,000$	47,241$	No
David Liffiton	EDMONTON OILERS (EDM)	D	34	10/18/1984	No	214 Lbs	6 ft3	No	No	No	4	UFA	Pro & Farm	500,000$	50,000$	47,241$	No
Jake Allen	EDMONTON OILERS (EDM)	G	29	6/7/1990	No	190 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	500,000$	50,000$	47,241$	No
Janne Kuokkanen	EDMONTON OILERS (EDM)	C/LW	21	5/25/1998 9:53:06 AM	Yes	197 Lbs	6 ft5	No	No	No	1	ELC	Pro & Farm	500,000$	50,000$	47,241$	No
Jonas Røndbjerg	EDMONTON OILERS (EDM)	RW	20	3/31/1999 7:56:01 AM	Yes	182 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	450,000$	45,000$	42,517$	No
Jujhar Khaira	EDMONTON OILERS (EDM)	C/LW	25	9/12/1994 6:35:56 AM	Yes	224 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	300,000$	30,000$	28,345$	No
Kasper Kotkansalo	EDMONTON OILERS (EDM)	D	20	6/1/1999 8:04:04 AM	Yes	203 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	400,000$	40,000$	37,793$	No
Keegan Lowe	EDMONTON OILERS (EDM)	D	26	3/29/1993 7:38:40 AM	No	193 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	465,000$	46,500$	43,934$	No
Lauri Korpikoski	EDMONTON OILERS (EDM)	C/LW	33	7/28/1986	No	209 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	400,000$	40,000$	37,793$	No
Matt Nickerson	EDMONTON OILERS (EDM)	D	34	8/12/1985 11:45:01 AM	No	190 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	580,000$	58,000$	54,800$	No
Matthew Cairns	EDMONTON OILERS (EDM)	D	21	6/1/1998 3:14:33 AM	Yes	210 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	300,000$	30,000$	28,345$	No
Max Jones	EDMONTON OILERS (EDM)	LW	21	2/17/1998 8:55:20 AM	Yes	209 Lbs	6 ft4	No	No	No	1	ELC	Pro & Farm	650,000$	65,000$	61,414$	No
Michael Rasmussen	EDMONTON OILERS (EDM)	C/LW/RW	20	4/17/1999 4:51:52 AM	Yes	224 Lbs	6 ft9	No	No	No	2	ELC	Pro & Farm	750,000$	75,000$	70,862$	No
Nico Gross	EDMONTON OILERS (EDM)	D	20	6/1/1999 5:31:40 AM	Yes	200 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	500,000$	50,000$	47,241$	No
Oliver Wahlstrom	EDMONTON OILERS (EDM)	RW	19	6/13/2000 5:06:58 AM	Yes	205 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	750,000$	75,000$	70,862$	No
Olivier Rodrigue	EDMONTON OILERS (EDM)	G	20	6/1/1999 7:49:45 AM	Yes	220 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	550,000$	55,000$	51,966$	No
Stuart Skinner	EDMONTON OILERS (EDM)	G	20	6/1/1999 8:15:11 AM	Yes	205 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	450,000$	45,000$	42,517$	No
Sven Andrighetto	EDMONTON OILERS (EDM)	LW/RW	24	6/22/1995 7:59:18 AM	No	198 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	400,000$	40,000$	37,793$	No
Theo Ruth	EDMONTON OILERS (EDM)	D	30	2/14/1989	No	226 Lbs	6 ft1	No	No	No	4	UFA	Pro & Farm	562,500$	56,250$	53,147$	No
Vaclav Karabacek	EDMONTON OILERS (EDM)	RW	23	5/2/1996 5:31:40 AM	Yes	200 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	500,000$	50,000$	47,241$	No
Ville Pokka	EDMONTON OILERS (EDM)	D	25	9/10/1994 2:52:46 AM	Yes	233 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	400,000$	40,000$	37,793$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
30	25.50	207 Lbs	6 ft2	1.93	565,250$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jujhar Khaira	Michael Rasmussen	Sven Andrighetto	40	1	2	2
2	Chris Stewart	Cliff Pu	Oliver Wahlstrom	30	1	2	2
3	Max Jones	Lauri Korpikoski	Cameron Abney	20	1	2	2
4	Janne Kuokkanen	Blake Geoffrion	Vaclav Karabacek	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Beat Forster	Alex Goligoski	40	1	2	2
2	Theo Ruth	Keegan Lowe	30	1	2	2
3	David Liffiton	Ville Pokka	20	1	2	2
4	Beat Forster	Alex Goligoski	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jujhar Khaira	Michael Rasmussen	Sven Andrighetto	60	1	2	2
2	Max Jones	Cliff Pu	Oliver Wahlstrom	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Beat Forster	Alex Goligoski	60	1	2	2
2	Theo Ruth	Keegan Lowe	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Lauri Korpikoski	Cameron Abney	60	1	2	2
2	Jujhar Khaira	Michael Rasmussen	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Beat Forster	Ville Pokka	60	1	2	2
2	Alex Goligoski	Keegan Lowe	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Lauri Korpikoski	60	1	2	2	Beat Forster	Theo Ruth	60	1	2	2
2	Cameron Abney	40	1	2	2	Alex Goligoski	Keegan Lowe	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Cliff Pu	Cameron Abney	60	1	2	2
2	Jujhar Khaira	Michael Rasmussen	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Beat Forster	Theo Ruth	60	1	2	2
2	Alex Goligoski	Keegan Lowe	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jujhar Khaira	Michael Rasmussen	Sven Andrighetto	Beat Forster	Alex Goligoski

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jujhar Khaira	Michael Rasmussen	Sven Andrighetto	Beat Forster	Alex Goligoski

Extra Forwards
Normal	PowerPlay	Penalty Kill
Max Jones, Lauri Korpikoski, Cliff Pu	Max Jones, Lauri Korpikoski	Cliff Pu

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Theo Ruth, Ville Pokka, Alex Goligoski	Theo Ruth	Ville Pokka, Alex Goligoski

Penalty Shots
Blake Geoffrion, Beat Forster, Oliver Wahlstrom, Michael Rasmussen, Sven Andrighetto

Goalie
#1 : Anthony Stolarz, #2 : Jake Allen

Custom OT Lines Forwards
Oliver Wahlstrom, Max Jones, Jujhar Khaira, Michael Rasmussen, Sven Andrighetto, Chris Stewart, Chris Stewart, Lauri Korpikoski, Cameron Abney, Cliff Pu, Blake Geoffrion

Custom OT Lines Defensemen
Beat Forster, Alex Goligoski, Ville Pokka, Keegan Lowe, Theo Ruth

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
1	MANHATTAN SWEDES	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	5	8	0	0	2	5	8	0	37	57	57	49	0	23	7	0	16	5	0	0.00%	0	0	0.00%	0	49	109	44.95%	49	100	49.00%	34	70	48.57%	111	63	99	43	89	46
2	NEWTON NIGHTHAWKS	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	4	7	0	0	2	5	8	0	32	57	57	49	0	27	7	11	18	4	1	25.00%	3	0	100.00%	1	49	109	44.95%	49	100	49.00%	34	70	48.57%	111	63	99	43	89	46
3	SAN JOSE AVACADOES	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	2	5	8	0	20	57	57	49	0	30	4	8	17	6	0	0.00%	4	1	75.00%	0	49	109	44.95%	49	100	49.00%	34	70	48.57%	111	63	99	43	89	46
4	SYRACUSE BABY BULLS	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	2	5	8	0	35	57	57	49	0	29	3	4	18	2	0	0.00%	2	0	100.00%	0	49	109	44.95%	49	100	49.00%	34	70	48.57%	111	63	99	43	89	46
	Total	5	4	1	0	0	0	0	0	15	9	6	2	1	1	0	0	0	0	0	5	5	0	3	3	0	0	0	0	0	0	10	4	6	8	0.800	15	24	39	0	0	2	5	8	0	163	57	57	49	0	141	25	39	91	19	1	5.26%	12	2	83.33%	1	49	109	44.95%	49	100	49.00%	34	70	48.57%	111	63	99	43	89	46
6	VANCOUVER THOUSANDAIRES	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	6	10	0	0	2	5	8	0	39	57	57	49	0	32	4	16	22	2	0	0.00%	3	1	66.67%	0	49	109	44.95%	49	100	49.00%	34	70	48.57%	111	63	99	43	89	46
	_Since Last GM Reset	5	4	1	0	0	0	0	0	15	9	6	2	1	1	0	0	0	0	0	5	5	0	3	3	0	0	0	0	0	0	10	4	6	8	0.800	15	24	39	0	0	2	5	8	0	163	57	57	49	0	141	25	39	91	19	1	5.26%	12	2	83.33%	1	49	109	44.95%	49	100	49.00%	34	70	48.57%	111	63	99	43	89	46
	_Vs Conference	4	3	1	0	0	0	0	0	12	8	4	2	1	1	0	0	0	0	0	5	5	0	2	2	0	0	0	0	0	0	7	3	4	6	0.750	12	19	31	0	0	2	5	8	0	143	57	57	49	0	111	21	31	74	13	1	7.69%	8	1	87.50%	1	49	109	44.95%	49	100	49.00%	34	70	48.57%	111	63	99	43	89	46
	_Vs Division	3	3	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	3	1	2	2	2	0	0	0	0	0	0	7	3	4	6	1.000	10	15	25	0	0	2	5	8	0	108	57	57	49	0	82	18	27	56	11	1	9.09%	6	1	83.33%	1	49	109	44.95%	49	100	49.00%	34	70	48.57%	111	63	99	43	89	46

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
5	8	W4	15	24	39	163	141	25	39	91	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	15	9

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	5	5

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	3	0	0	0	0	0	10	4

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	1	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
19	1	5.26%	12	2	83.33%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
57	57	49	0	2	5	8	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
49	109	44.95%	49	100	49.00%	34	70	48.57%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
111	63	99	43	89	46

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	Link
1 - 2019-09-05	4	SYRACUSE BABY BULLS	4	EDMONTON OILERS	2	L	BoxScore
2 - 2019-09-06	13	EDMONTON OILERS	3	NEWTON NIGHTHAWKS	1	W	BoxScore
5 - 2019-09-09	28	MANHATTAN SWEDES	1	EDMONTON OILERS	3	W	BoxScore
6 - 2019-09-10	34	EDMONTON OILERS	3	SAN JOSE AVACADOES	1	W	BoxScore
7 - 2019-09-11	40	EDMONTON OILERS	4	VANCOUVER THOUSANDAIRES	2	W	BoxScore
9 - 2019-09-13	58	CAPE FEAR WILDCATS	-	EDMONTON OILERS	-
11 - 2019-09-15	71	MANHATTAN SWEDES	-	EDMONTON OILERS	-
12 - 2019-09-16	78	EDMONTON OILERS	-	MANHATTAN SWEDES	-
14 - 2019-09-18	88	EDMONTON OILERS	-	NEWTON NIGHTHAWKS	-
15 - 2019-09-19	101	SYRACUSE BABY BULLS	-	EDMONTON OILERS	-
17 - 2019-09-21	108	EDMONTON OILERS	-	HALIFAX HELL	-
18 - 2019-09-22	120	HALIFAX HELL	-	EDMONTON OILERS	-
20 - 2019-09-24	128	EDMONTON OILERS	-	VANCOUVER THOUSANDAIRES	-
22 - 2019-09-26	145	CAPE FEAR WILDCATS	-	EDMONTON OILERS	-
24 - 2019-09-28	160	VANCOUVER THOUSANDAIRES	-	EDMONTON OILERS	-
25 - 2019-09-29	169	EDMONTON OILERS	-	COQUITLAM EXPRESS	-
27 - 2019-10-01	181	EDMONTON OILERS	-	NEWTON NIGHTHAWKS	-
29 - 2019-10-03	190	COQUITLAM EXPRESS	-	EDMONTON OILERS	-
31 - 2019-10-05	204	EDMONTON OILERS	-	COQUITLAM EXPRESS	-
33 - 2019-10-07	212	LAS CRUCES MESCALEROS	-	EDMONTON OILERS	-
34 - 2019-10-08	224	PINCHER CREEK WOLVERINES	-	EDMONTON OILERS	-
36 - 2019-10-10	239	EDMONTON OILERS	-	PINCHER CREEK WOLVERINES	-
38 - 2019-10-12	247	EDMONTON OILERS	-	SYRACUSE BABY BULLS	-
39 - 2019-10-13	255	HAWAII PUNCH	-	EDMONTON OILERS	-
41 - 2019-10-15	269	CAPE FEAR WILDCATS	-	EDMONTON OILERS	-
43 - 2019-10-17	280	EDMONTON OILERS	-	MANHATTAN SWEDES	-
44 - 2019-10-18	291	MANHATTAN SWEDES	-	EDMONTON OILERS	-
46 - 2019-10-20	301	EDMONTON OILERS	-	CAPE FEAR WILDCATS	-
49 - 2019-10-23	313	DETROIT STEELERS	-	EDMONTON OILERS	-
50 - 2019-10-24	324	EDMONTON OILERS	-	HAWAII PUNCH	-
51 - 2019-10-25	334	EDMONTON OILERS	-	BROOKLYN GRINDERS	-
53 - 2019-10-27	342	SYRACUSE BABY BULLS	-	EDMONTON OILERS	-
54 - 2019-10-28	352	EDMONTON OILERS	-	SAN JOSE AVACADOES	-
56 - 2019-10-30	365	EDMONTON OILERS	-	CAPE FEAR WILDCATS	-
57 - 2019-10-31	373	NEWTON NIGHTHAWKS	-	EDMONTON OILERS	-
59 - 2019-11-02	387	VANCOUVER THOUSANDAIRES	-	EDMONTON OILERS	-
60 - 2019-11-03	396	EDMONTON OILERS	-	BANGOR PUPPIES	-
63 - 2019-11-06	409	BANGOR PUPPIES	-	EDMONTON OILERS	-
65 - 2019-11-08	421	EDMONTON OILERS	-	LAS CRUCES MESCALEROS	-
66 - 2019-11-09	432	HAWAII PUNCH	-	EDMONTON OILERS	-
68 - 2019-11-11	439	EDMONTON OILERS	-	COQUITLAM EXPRESS	-
70 - 2019-11-13	454	COLORADO CUBS	-	EDMONTON OILERS	-
71 - 2019-11-14	463	EDMONTON OILERS	-	COLORADO CUBS	-
72 - 2019-11-15	473	EDMONTON OILERS	-	CHICAGO UNDERTAKERS	-
73 - 2019-11-16	481	CALGARY WRANGLERS	-	EDMONTON OILERS	-
75 - 2019-11-18	496	MANHATTAN SWEDES	-	EDMONTON OILERS	-
77 - 2019-11-20	508	EDMONTON OILERS	-	SYRACUSE BABY BULLS	-
79 - 2019-11-22	520	SAN JOSE AVACADOES	-	EDMONTON OILERS	-
81 - 2019-11-24	528	EDMONTON OILERS	-	MANHATTAN SWEDES	-
82 - 2019-11-25	536	EDMONTON OILERS	-	CALGARY WRANGLERS	-
84 - 2019-11-27	548	NEWTON NIGHTHAWKS	-	EDMONTON OILERS	-
86 - 2019-11-29	562	EDMONTON OILERS	-	PINCHER CREEK WOLVERINES	-
87 - 2019-11-30	569	COQUITLAM EXPRESS	-	EDMONTON OILERS	-
90 - 2019-12-03	586	BROOKLYN GRINDERS	-	EDMONTON OILERS	-
91 - 2019-12-04	595	EDMONTON OILERS	-	CAPE BRETON LEPRECHAUNS	-
92 - 2019-12-05	602	EDMONTON OILERS	-	PHILADELPHIA PHANTOMS	-
94 - 2019-12-07	613	NORTH VAN ROCKERS	-	EDMONTON OILERS	-
95 - 2019-12-08	621	EDMONTON OILERS	-	NEWTON NIGHTHAWKS	-
96 - 2019-12-09	630	NEWTON NIGHTHAWKS	-	EDMONTON OILERS	-
98 - 2019-12-11	640	EDMONTON OILERS	-	SAN JOSE AVACADOES	-
99 - 2019-12-12	653	SYRACUSE BABY BULLS	-	EDMONTON OILERS	-
101 - 2019-12-14	663	EDMONTON OILERS	-	CAPE FEAR WILDCATS	-
103 - 2019-12-16	673	EDMONTON OILERS	-	PENSACOLA BLACK BEARS	-
104 - 2019-12-17	682	VANCOUVER THOUSANDAIRES	-	EDMONTON OILERS	-
106 - 2019-12-19	697	PHILADELPHIA PHANTOMS	-	EDMONTON OILERS	-
107 - 2019-12-20	706	EDMONTON OILERS	-	NORTH VAN ROCKERS	-
108 - 2019-12-21	716	EDMONTON OILERS	-	DETROIT STEELERS	-
109 - 2019-12-22	724	HALIFAX HELL	-	EDMONTON OILERS	-
112 - 2019-12-25	738	EDMONTON OILERS	-	HALIFAX HELL	-
Trade Deadline --- Trades can’t be done after this day is simulated!
113 - 2019-12-26	747	NORTH VAN ROCKERS	-	EDMONTON OILERS	-
115 - 2019-12-28	761	EDMONTON OILERS	-	HALIFAX HELL	-
116 - 2019-12-29	768	PENSACOLA BLACK BEARS	-	EDMONTON OILERS	-
119 - 2020-01-01	783	EDMONTON OILERS	-	LAS CRUCES MESCALEROS	-
120 - 2020-01-02	793	CHICAGO UNDERTAKERS	-	EDMONTON OILERS	-
122 - 2020-01-04	807	EDMONTON OILERS	-	VANCOUVER THOUSANDAIRES	-
123 - 2020-01-05	814	CAPE BRETON LEPRECHAUNS	-	EDMONTON OILERS	-
126 - 2020-01-08	830	PINCHER CREEK WOLVERINES	-	EDMONTON OILERS	-
131 - 2020-01-13	849	CAPE FEAR WILDCATS	-	EDMONTON OILERS	-
134 - 2020-01-16	868	PENSACOLA BLACK BEARS	-	EDMONTON OILERS	-
135 - 2020-01-17	879	EDMONTON OILERS	-	SAN JOSE AVACADOES	-
137 - 2020-01-19	889	LAS CRUCES MESCALEROS	-	EDMONTON OILERS	-
139 - 2020-01-21	895	EDMONTON OILERS	-	VANCOUVER THOUSANDAIRES	-
142 - 2020-01-24	909	DETROIT STEELERS	-	EDMONTON OILERS	-
144 - 2020-01-26	922	EDMONTON OILERS	-	HAWAII PUNCH	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	3,558	1,996
Attendance PCT	88.95%	99.80%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
40	2777 - 92.57%	77,235$	154,470$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
146,924$	1,695,750$	112,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
1,695,750$	90,788$	30	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,089,400$	137	18,712$	2,563,544$

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
7	84	41	25	0	5	5	3	5	277	246	31	42	19	12	0	2	4	2	3	142	134	8	42	22	13	0	3	1	1	2	135	112	23	82	277	464	741	3	2	67	108	94	13	2650	885	914	823	56	2462	813	1002	1910	298	77	25.84%	277	59	78.70%	5	824	1754	46.98%	895	1744	51.32%	615	1188	51.77%	1818	1011	1735	781	1547	779
8	5	4	1	0	0	0	0	0	15	9	6	2	1	1	0	0	0	0	0	5	5	0	3	3	0	0	0	0	0	0	10	4	6	8	15	24	39	0	0	2	5	8	0	163	57	57	49	0	141	25	39	91	19	1	5.26%	12	2	83.33%	1	49	109	44.95%	49	100	49.00%	34	70	48.57%	111	63	99	43	89	46
Total Regular Season	89	45	26	0	5	5	3	5	292	255	37	44	20	13	0	2	4	2	3	147	139	8	45	25	13	0	3	1	1	2	145	116	29	90	292	488	780	3	2	69	113	102	13	2813	942	971	872	56	2603	838	1041	2001	317	78	24.61%	289	61	78.89%	6	873	1863	46.86%	944	1844	51.19%	649	1258	51.59%	1929	1074	1835	825	1636	825
Playoff
7	6	2	4	0	0	0	0	0	14	15	-1	3	1	2	0	0	0	0	0	6	7	-1	3	1	2	0	0	0	0	0	8	8	0	4	14	26	40	1	1	2	7	5	0	215	58	71	86	0	164	48	52	141	38	9	23.68%	16	3	81.25%	1	97	183	53.01%	56	128	43.75%	43	80	53.75%	138	79	115	54	105	54
Total Playoff	6	2	4	0	0	0	0	0	14	15	-1	3	1	2	0	0	0	0	0	6	7	-1	3	1	2	0	0	0	0	0	8	8	0	4	14	26	40	1	1	2	7	5	0	215	58	71	86	0	164	48	52	141	38	9	23.68%	16	3	81.25%	1	97	183	53.01%	56	128	43.75%	43	80	53.75%	138	79	115	54	105	54