Profi League - Penguins

Penguins
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
History
Injury / Suspension

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	Alexander Steen (A)	X	X			100.00	59	34	90	79	83	92	92	82	71	54	49	73	77	95	99	0	54	73	0
2	Patrick Marleau (C)	X	X	X		100.00	64	30	95	79	85	88	99	85	76	46	53	63	61	99	99	0	54	72	0
3	Artemi Panarin		X	X		100.00	58	34	95	86	82	91	98	90	45	56	56	61	82	64	64	0	54	71	0
4	Troy Brouwer			X		100.00	77	44	92	72	82	86	94	83	60	44	47	71	62	89	94	0	54	70	0
5	Ryan Nugent-Hopkins	X				100.00	60	34	95	76	81	88	94	84	81	48	49	71	63	79	84	0	54	70	0
6	Mitchell Marner (R)			X		100.00	59	30	93	81	83	85	95	91	55	56	49	61	76	58	58	0	54	69	0
7	Kevin Hayes	X	X	X		100.00	60	33	96	77	85	83	95	85	78	51	48	68	74	69	69	0	54	69	0
8	Mark Letestu	X		X		100.00	63	34	97	72	78	82	95	78	83	45	47	74	72	81	81	0	54	69	0
9	Casey Cizikas	X	X			100.00	76	32	93	71	78	77	84	79	82	46	43	75	58	77	77	0	54	68	0
10	Richard Panik		X	X		100.00	73	37	92	73	81	79	89	80	50	45	50	60	70	72	72	0	54	67	0
11	Josh Anderson (R)		X	X		100.00	76	48	86	68	80	75	83	76	48	44	47	62	58	59	59	0	54	64	0
12	Tanner Kero (R)	X	X			100.00	62	30	97	65	72	77	65	73	67	43	42	71	56	57	57	0	54	61	0
13	Andrej Sekera				X	100.00	69	30	96	80	83	89	97	86	34	49	43	79	59	87	87	0	54	74	0
14	Ron Hainsey (A)				X	100.00	75	36	95	74	80	89	92	80	34	44	41	81	58	97	97	0	54	73	0
15	Nikita Zaitsev (R)				X	100.00	81	30	93	82	84	90	99	86	30	50	40	76	59	58	58	0	54	72	0
16	Shayne Gostisbehere (R)				X	100.00	68	30	93	82	81	86	88	87	37	52	45	73	68	63	63	0	54	71	0
17	Travis Hamonic				X	100.00	75	49	85	75	80	88	76	79	34	45	41	79	58	80	85	0	54	70	0
18	David Schlemko				X	100.00	69	30	96	73	77	84	81	78	34	47	40	76	58	77	77	0	54	69	0
Scratches

	TEAM AVERAGE					100.00	68	35	93	76	81	85	90	82	56	48	46	71	65	76	77	0	54	70

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	Ryan Miller	99.00	77	96	96	86	79	75	76	76	76	77	83	90	90	0	54	81	0
2	Philipp Grubauer (R)	100.00	77	96	74	81	79	74	75	75	75	77	75	71	71	0	54	76	0
Scratches
1	Michal Neuvirth	100.00	64	96	75	84	68	64	65	64	65	68	79	81	81	0	46	71	0

	TEAM AVERAGE	99.67	73	96	82	84	75	71	72	72	72	74	79	81	81	0	51	76

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mike Yeo	81	85	90	86	76	77	82	CAN	44	4	1,000,000$

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	SHT	OSB	OSM	SHT%	SB	MP	PPG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG
1	Artemi Panarin	Penguins	LW/RW	4	3	2	5	2	2	0	5	10	1	25	30.00%	0	20.:.16	0	0	0	1	1	0	33.33%	3	21	0	0	0	1.23	0
2	Mitchell Marner	Penguins	RW	4	0	3	3	1	2	0	7	18	3	8	0.00%	0	17.:.15	0	0	0	0	0	0	20.00%	5	6	1	0	0	0.87	0
3	Andrej Sekera	Penguins	D	4	1	2	3	2	0	0	5	7	3	4	14.29%	10	25.:.35	0	0	0	4	0	0	0.00%	0	0	7	0	0	0.59	0
4	Patrick Marleau	Penguins	C/LW/RW	4	1	2	3	4	2	0	3	8	6	10	12.50%	1	19.:.30	0	0	0	0	1	0	51.43%	70	12	2	0	0	0.77	0
5	Alexander Steen	Penguins	C/LW	4	2	1	3	3	0	0	6	6	3	4	33.33%	1	19.:.01	0	0	0	1	0	1	100.00%	1	6	2	0	0	0.79	0
6	Nikita Zaitsev	Penguins	D	4	0	2	2	2	0	0	17	4	3	2	0.00%	3	22.:.59	0	0	0	4	0	0	0.00%	0	0	4	0	0	0.44	0
7	Kevin Hayes	Penguins	C/LW/RW	4	2	0	2	0	0	0	4	9	4	9	22.22%	1	16.:.53	0	0	0	1	1	0	66.67%	3	5	3	0	0	0.59	0
8	Shayne Gostisbehere	Penguins	D	4	0	1	1	-1	2	0	8	12	4	7	0.00%	7	18.:.04	0	0	0	0	0	0	0.00%	0	4	6	0	0	0.28	0
9	Josh Anderson	Penguins	LW/RW	4	0	1	1	1	0	0	3	6	4	5	0.00%	0	08.:.28	0	0	0	0	0	0	0.00%	1	3	0	0	0	0.59	0
10	Ryan Nugent-Hopkins	Penguins	C	4	0	1	1	1	2	0	3	6	3	8	0.00%	2	16.:.18	0	0	0	0	0	0	64.44%	45	6	1	0	0	0.31	0
11	Travis Hamonic	Penguins	D	4	0	0	0	2	2	0	4	7	5	1	0.00%	6	16.:.04	0	0	0	6	0	0	0.00%	0	0	4	0	0	0.00	0
12	Ron Hainsey	Penguins	D	4	0	0	0	0	0	0	1	7	3	5	0.00%	11	21.:.24	0	0	0	7	0	0	0.00%	0	0	2	0	0	0.00	0
13	Tanner Kero	Penguins	C/LW	4	0	0	0	0	0	0	1	5	1	3	0.00%	2	09.:.04	0	0	0	1	0	0	0.00%	2	0	1	0	0	0.00	0
14	Troy Brouwer	Penguins	RW	4	0	0	0	0	0	0	5	6	4	1	0.00%	2	12.:.14	0	0	0	0	0	0	0.00%	1	5	2	0	0	0.00	0
15	David Schlemko	Penguins	D	4	0	0	0	2	0	0	3	6	3	2	0.00%	4	16.:.09	0	0	0	1	0	0	0.00%	0	0	4	0	0	0.00	0
16	Mark Letestu	Penguins	C/RW	4	0	0	0	0	0	0	1	3	2	3	0.00%	1	14.:.36	0	0	0	9	0	0	50.00%	40	5	2	0	0	0.00	0
17	Casey Cizikas	Penguins	C/LW	4	0	0	0	1	0	0	7	6	1	9	0.00%	1	10.:.50	0	0	0	9	0	0	41.67%	24	7	0	0	0	0.00	0
18	Richard Panik	Penguins	LW/RW	4	0	0	0	0	0	0	6	12	4	7	0.00%	3	12.:.14	0	0	0	0	0	0	50.00%	2	6	0	0	0	0.00	0
Team Total or Average			72	9	15	24	20	12	0	89	74	138	57	113	6.52%	55	1188	16.50	7	68	0	0	0	1	47	3	1	51.27%	197	86	41	0	0.40	0	0	0	0	0	2	2	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

#	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
1	Ryan Miller	Penguins	4	3	1	0	95.9%	1.26	239	0	1	5	122	72	0	0	0.0%	0	4	0	1	1	1
Team Total or Average			4	3	1	0	0.959	1.26	239	0	1	5	122	72	0	0	0.000	0	4	0	1	1	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Remaining	Salary Year 2	Salary Year 3	Salary Year 4
Alexander Steen	Penguins	C/LW	33	01.03.1984	No	211 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	5,800,000$	5,800,000$	5,800,000$
Andrej Sekera	Penguins	D	31	08.06.1986	No	198 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	4,000,000$	4,000,000$
Artemi Panarin	Penguins	LW/RW	25	30.10.1991 1:22:13	No	170 Lbs	5 ft11	Yes	No	No	3	RFA	Pro & Farm	6,300,000$	6,300,000$	6,300,000$	6,300,000$
Casey Cizikas (1 Way Contract)	Penguins	C/LW	26	27.02.1991 6:56:46	No	201 Lbs	5 ft11	No	No	No	2	RFA	Pro Only	1,600,000$	1,600,000$	1,600,000$
David Schlemko	Penguins	D	30	07.05.1987	No	190 Lbs	6 ft0	No	No	No	1	UFA	Pro Only	1,400,000$	1,400,000$
Josh Anderson	Penguins	LW/RW	23	07.05.1994 2:21:53	Yes	221 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	700,000$	700,000$
Kevin Hayes	Penguins	C/LW/RW	25	08.05.1992 1:40:10	No	215 Lbs	6 ft5	No	No	No	1	RFA	Pro Only	3,000,000$	3,000,000$
Mark Letestu	Penguins	C/RW	32	04.02.1985	No	197 Lbs	5 ft10	No	No	No	2	UFA	Pro & Farm	2,400,000$	2,400,000$	2,400,000$
Michal Neuvirth	Penguins	G	29	23.03.1988	No	209 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	3,000,000$	3,000,000$
Mitchell Marner	Penguins	RW	20	05.05.1997 16:13:47	Yes	170 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	1,700,000$	1,700,000$	1,700,000$	1,700,000$
Nikita Zaitsev	Penguins	D	25	29.10.1991 14:50:05	Yes	195 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	2,800,000$	2,800,000$
Patrick Marleau	Penguins	C/LW/RW	38	15.09.1979	No	215 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	5,600,000$	5,600,000$	5,600,000$
Philipp Grubauer (1 Way Contract)	Penguins	G	25	25.11.1991 6:32:38	Yes	184 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	1,500,000$	1,500,000$
Richard Panik	Penguins	LW/RW	25	07.02.1992 13:51:01	No	208 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	2,200,000$	2,200,000$	2,200,000$
Ron Hainsey	Penguins	D	36	24.03.1981	No	210 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	2,500,000$	2,500,000$	2,500,000$
Ryan Miller	Penguins	G	37	17.07.1980	No	168 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	5,300,000$	5,300,000$
Ryan Nugent-Hopkins	Penguins	C	24	12.04.1993 14:44:38	No	196 Lbs	6 ft0	Yes	No	No	1	RFA	Pro & Farm	4,800,000$	4,800,000$
Shayne Gostisbehere	Penguins	D	24	20.04.1993 23:48:02	Yes	180 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	2,000,000$	2,000,000$
Tanner Kero	Penguins	C/LW	25	24.07.1992 1:37:37	Yes	185 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	1,100,000$	1,100,000$
Travis Hamonic	Penguins	D	27	16.08.1990	No	205 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$
Troy Brouwer	Penguins	RW	32	17.08.1985	No	215 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	2,700,000$	2,700,000$	2,700,000$	2,700,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	28.19	197 Lbs	6 ft1	1.81	3,042,857$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
63,900,000$	38,300,000$	18,200,000$	4,000,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Artemi Panarin	Patrick Marleau	Mitchell Marner	44	0	2	3
2	Alexander Steen	Ryan Nugent-Hopkins	Kevin Hayes	33	0	2	3
3	Richard Panik	Mark Letestu	Troy Brouwer	17	1	2	2
4	Tanner Kero	Casey Cizikas	Josh Anderson	6	1	3	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Andrej Sekera	Nikita Zaitsev	40	1	2	2
2	Shayne Gostisbehere	Ron Hainsey	30	1	2	2
3	David Schlemko	Travis Hamonic	20	1	3	1
4	Andrej Sekera	Ron Hainsey	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Artemi Panarin	Patrick Marleau	Mitchell Marner	60	0	0	5
2	Alexander Steen	Ryan Nugent-Hopkins	Kevin Hayes	40	0	1	3

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Andrej Sekera	Nikita Zaitsev	60	0	1	4
2	Shayne Gostisbehere	David Schlemko	40	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mark Letestu	Casey Cizikas	66	1	4	0
2	Alexander Steen	Tanner Kero	34	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Travis Hamonic	Ron Hainsey	60	2	3	0
2	Andrej Sekera	Nikita Zaitsev	40	2	3	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Mark Letestu	60	1	4	0	Travis Hamonic	Ron Hainsey	60	1	4	0
2	Casey Cizikas	40	1	4	0	Andrej Sekera	Nikita Zaitsev	40	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Patrick Marleau	Artemi Panarin	60	1	1	3
2	Ryan Nugent-Hopkins	Alexander Steen	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Andrej Sekera	Nikita Zaitsev	60	1	2	2
2	Shayne Gostisbehere	Ron Hainsey	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alexander Steen	Patrick Marleau	Artemi Panarin	Andrej Sekera	Nikita Zaitsev

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alexander Steen	Mark Letestu	Troy Brouwer	Andrej Sekera	Ron Hainsey

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mitchell Marner, Mark Letestu, Casey Cizikas	Richard Panik, Ryan Nugent-Hopkins	Casey Cizikas

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Travis Hamonic, David Schlemko, Nikita Zaitsev	Travis Hamonic	David Schlemko, Nikita Zaitsev

Penalty Shots
Alexander Steen, Kevin Hayes, Artemi Panarin, Mitchell Marner, Richard Panik

Goalie
#1 : Ryan Miller, #2 : Philipp Grubauer

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

#	VS Team	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	EG	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PP%	PKA	PK%	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT	GF%	SH%	SV%	PDO	PDOBRK
1	Hurricanes	1	1	0	2	0	2	2	1.000	2	3	5	1	1	1	0	36	8	17	11	31	12	2	28	3	0.00%	1	100.00%	38	73	52.05%	45	78	57.69%	18	46	39.13%	24	16	19	7	15	8	100.0%	5.6%	100.0%	105.6	DULL
2	Maple Leafs	1	1	0	4	2	2	2	1.000	4	7	11	0	2	0	2	31	13	9	9	32	8	6	16	3	0.00%	3	100.00%	38	73	52.05%	45	78	57.69%	18	46	39.13%	23	16	21	7	14	7	66.7%	12.9%	93.8%	106.7	LUCKY
3	Predators	1	1	0	2	1	1	2	1.000	2	3	5	0	1	0	1	31	11	7	13	30	19	2	18	2	0.00%	1	100.00%	38	73	52.05%	45	78	57.69%	18	46	39.13%	22	14	20	7	17	9	66.7%	6.5%	96.7%	103.1	DULL
4	Senators	1	0	1	1	2	-1	0	0.000	1	2	3	0	1	0	0	40	12	14	14	29	16	2	27	0	0.00%	1	100.00%	38	73	52.05%	45	78	57.69%	18	46	39.13%	25	17	19	7	15	7	33.3%	2.5%	93.1%	95.6	DULL
	Since Last GM Reset	4	3	1	9	5	4	6	0.750	9	15	24	1	5	1	3	138	44	47	47	122	55	12	89	8	0.00%	6	100.00%	38	73	52.05%	45	78	57.69%	18	46	39.13%	96	63	81	29	62	32	64.3%	6.5%	95.9%	102.4	DULL
	Total	4	3	1	9	5	4	6	0.750	9	15	24	1	5	1	3	138	44	47	47	122	55	12	89	8	0.00%	6	100.00%	38	73	52.05%	45	78	57.69%	18	46	39.13%	96	63	81	29	62	32	64.3%	6.5%	95.9%	102.4	DULL
	Vs Conference	4	3	1	9	5	4	6	0.750	9	15	24	1	5	1	3	138	44	47	47	122	55	12	89	8	0.00%	6	100.00%	38	73	52.05%	45	78	57.69%	18	46	39.13%	96	63	81	29	62	32	64.3%	6.5%	95.9%	102.4	DULL
	Vs Division	4	3	1	9	5	4	6	0.750	9	15	24	1	5	1	3	138	44	47	47	122	55	12	89	8	0.00%	6	100.00%	38	73	52.05%	45	78	57.69%	18	46	39.13%	96	63	81	29	62	32	64.3%	6.5%	95.9%	102.4	DULL

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	6	W1	9	15	24	138	122	55	12	89	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	9	5

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	6	3

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	3	2

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	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
8	0	0.00%	6	0	100.00%	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
44	47	47	0	5	1	3	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
38	73	52.05%	45	78	57.69%	18	46	39.13%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
96	63	81	29	62	32

Last Played Games

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

Date		Result	Detail
Trade Deadline --- Trades can’t be done after this day is simulated!
Fri, Nov 22	@	Predators1,Penguins2	RECAP
Sat, Nov 23	@	Penguins2,Hurricanes0	RECAP
Mon, Nov 25	@	Penguins1,Senators2	RECAP
Wed, Nov 27	@	Maple Leafs2,Penguins4	RECAP

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6874	3618	4524	1803	1268
Ticket Price	95	50	33	20	190
Attendance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	0 - 0.00%	0$	0$	18087	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
63,900,000$	6,600,000$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
0$	0$	0$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Team Total Estime
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	24,030,053$	24,030,053$

Depth Chart

Left Wing

Center

Right Wing

Alexander Steen	AGE:33	PO:0	OV:73
Patrick Marleau	AGE:38	PO:0	OV:72
Artemi Panarin	AGE:25	PO:0	OV:71
Kevin Hayes	AGE:25	PO:0	OV:69
Casey Cizikas	AGE:26	PO:0	OV:68
Richard Panik	AGE:25	PO:0	OV:67
*Josh Anderson	AGE:23	PO:0	OV:64
*Drake Caggiula	AGE:23	PO:0	OV:63
*Tanner Kero	AGE:25	PO:0	OV:61
Peter Mueller	AGE:29	PO:0	OV:60
*Roman Lyubimov	AGE:25	PO:0	OV:59
*Tyler Motte	AGE:22	PO:0	OV:59
Andrew Agozzino	AGE:25	PO:0	OV:58
*Adam Erne	AGE:22	PO:0	OV:57
Marek Hrivik	AGE:26	PO:0	OV:55
*Quinton Howden	AGE:25	PO:0	OV:55
Cory Conacher	AGE:27	PO:0	OV:54

Alexander Steen	AGE:33	PO:0	OV:73
Patrick Marleau	AGE:38	PO:0	OV:72
Ryan Nugent-Hopkins	AGE:24	PO:0	OV:70
Kevin Hayes	AGE:25	PO:0	OV:69
Mark Letestu	AGE:32	PO:0	OV:69
Casey Cizikas	AGE:26	PO:0	OV:68
*Tanner Kero	AGE:25	PO:0	OV:61
*Jayson Megna	AGE:27	PO:0	OV:60
Peter Mueller	AGE:29	PO:0	OV:60
Colin Smith	AGE:24	PO:0	OV:58
Carter Rowney	AGE:28	PO:0	OV:58
Andrew Agozzino	AGE:25	PO:0	OV:58
*Nick Paul	AGE:22	PO:0	OV:56
Marek Hrivik	AGE:26	PO:0	OV:55

Patrick Marleau	AGE:38	PO:0	OV:72
Artemi Panarin	AGE:25	PO:0	OV:71
Troy Brouwer	AGE:32	PO:0	OV:70
*Mitchell Marner	AGE:20	PO:0	OV:69
Kevin Hayes	AGE:25	PO:0	OV:69
Mark Letestu	AGE:32	PO:0	OV:69
Richard Panik	AGE:25	PO:0	OV:67
*Josh Anderson	AGE:23	PO:0	OV:64
Peter Mueller	AGE:29	PO:0	OV:60
Justin Fontaine	AGE:29	PO:0	OV:60
Colin Smith	AGE:24	PO:0	OV:58
Carter Rowney	AGE:28	PO:0	OV:58
*Nicolas Aube-Kubel	AGE:21	PO:0	OV:53

Defense #1

Defense #2

Goalie

Andrej Sekera	AGE:31	PO:0	OV:74
Ron Hainsey	AGE:36	PO:0	OV:73
*Nikita Zaitsev	AGE:25	PO:0	OV:72
*Shayne Gostisbehere	AGE:24	PO:0	OV:71
Travis Hamonic	AGE:27	PO:0	OV:70
David Schlemko	AGE:30	PO:0	OV:69
Robert Bortuzzo	AGE:28	PO:0	OV:65
Matt Bartkowski	AGE:29	PO:0	OV:64

Brad Hunt	AGE:29	PO:0	OV:60
*Mike Reilly	AGE:24	PO:0	OV:58
*Devon Toews	AGE:23	PO:0	OV:58
Viktor Svedberg	AGE:26	PO:0	OV:56
*Jordan Oesterle	AGE:25	PO:0	OV:55
Nick Ebert	AGE:23	PO:0	OV:55
*Ethan Prow	AGE:24	PO:0	OV:53
*Daniel Walcott	AGE:23	PO:0	OV:50

Ryan Miller	AGE:37	PO:0	OV:81
*Philipp Grubauer	AGE:25	PO:0	OV:76
Michal Neuvirth	AGE:29	PO:0	OV:71
*Alex Nedeljkovic	AGE:21	PO:0	OV:60
*Nick Ellis	AGE:23	PO:0	OV:59

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
Adam Ruzicka	Penguins	2017	116
Alexander Delnov	Penguins
Alexander Khokhlachev	Penguins
Alexander Pechurski	Penguins
Alexander Urbom	Penguins
Alexandre Fortin	Penguins	2016	177
Andrei Loktionov	Penguins
Artur Lauta	Penguins	2016	252
C.J. Motte	Penguins	2015	189
Calvin Thurkauf	Penguins	2017	92
Christian Jaros	Penguins	2015	142
Damien Riat	Penguins	2016	118
Dmitri Samorukov	Penguins	2017	62
Eric Hartzell	Penguins
Fredrik Forsberg	Penguins	2015	188
Giovanni Fiore	Penguins	2017	141
Igor Shvyryov	Penguins	2016	220
Ivan Lodnia	Penguins	2017	81
Jaycob Megna	Penguins	2017	195
Kole Sherwood	Penguins	2015	168
Kyle Cumiskey	Penguins
Loik Leveille	Penguins	2015	144
Lukas Bengtsson	Penguins	2014	163
Luke Green	Penguins	2016	75
Michael Pastujov	Penguins	2017	139
Nathan Bastian	Penguins	2016	68
Nicholas Boka	Penguins	2015	172
Nick Betz	Penguins	2014	212
Nick Pastujov	Penguins	2016	121
Nick Suzuki	Penguins	2017	13
Otso Rantakari	Penguins	2014	193
Raphael Bussieres	Penguins
Rodrigo Abols	Penguins	2015	187
Ryan Walters	Penguins
Sasha Chmelevski	Penguins	2017	75
Simon Stransky	Penguins	2016	136
Tyler Cuma	Penguins
Viktor Antipin	Penguins	2017	49
Vincent Dunn	Penguins	2015	146
William Knierim	Penguins	2016	251
Zach Aston-Reese	Penguins	2017	43
Zachary Fucale	Penguins
missed pick	Penguins	2017	199

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2018	PIT		NJD		PIT	PIT	PIT
2019	PIT	PIT		PIT	PIT	PIT	PIT
2020	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2021	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2022	PIT	PIT	PIT	PIT	PIT	PIT	PIT

[10.10.2017 20:54:05] - Ron Hainsey has been selected as assistant for Penguins.
[10.10.2017 20:54:05] - Unknown Player is no longer as assistant for Penguins.
[10.10.2017 20:54:05] - Alexander Steen has been selected as assistant for Penguins.
[10.10.2017 20:54:05] - Unknown Player is no longer as assistant for Penguins.
[08.10.2017 10:27:21] - TRADE : From Penguins to Bruins : Y:2017-RND:7-STL.
[05.10.2017 6:00:25] - Penguins drafts missed pick as the #199 overall pick in the Entry Draft of year 2017.
[05.10.2017 5:59:59] - Penguins drafts Jaycob Megna as the #195 overall pick in the Entry Draft of year 2017.
[01.10.2017 10:53:21] - Peter Mueller signed with Penguins for 700 000 Kč for 1 year(s) with 0 Kč in bonus.
[01.10.2017 10:53:21] - Peter Mueller was added to Penguins.
[30.09.2017 11:47:14] - Penguins drafts Giovanni Fiore as the #141 overall pick in the Entry Draft of year 2017.
[30.09.2017 11:47:06] - Penguins drafts Michael Pastujov as the #139 overall pick in the Entry Draft of year 2017.
[23.09.2017 8:14:08] - Matt Bartkowski signed with Penguins for 900 000 Kč for 2 year(s) with 0 Kč in bonus.
[23.09.2017 8:14:08] - Matt Bartkowski was added to Penguins.
[23.09.2017 8:09:43] - Brad Hunt signed with Penguins for 900 000 Kč for 2 year(s) with 0 Kč in bonus.
[23.09.2017 8:09:43] - Brad Hunt was added to Penguins.
[23.09.2017 8:09:30] - Andrew Agozzino signed with Penguins for 900 000 Kč for 2 year(s) with 0 Kč in bonus.
[23.09.2017 8:09:30] - Andrew Agozzino was added to Penguins.
[22.09.2017 5:13:39] - Penguins drafts Adam Ruzicka as the #116 overall pick in the Entry Draft of year 2017.
[22.09.2017 5:07:29] - Penguins drafts Calvin Thurkauf as the #92 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:49:39] - Penguins drafts Ivan Lodnia as the #81 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:48:46] - Penguins drafts Sasha Chmelevski as the #75 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:46:16] - Penguins drafts Dmitri Samorukov as the #62 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:29:13] - Penguins drafts Viktor Antipin as the #49 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:25:34] - Penguins drafts Zach Aston-Reese as the #43 overall pick in the Entry Draft of year 2017.

No Injury or Suspension.

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
2017	4	3	1	0	0	0	0	0	9	5	4	2	2	0	0	0	0	0	0	6	3	3	2	1	1	0	0	0	0	0	3	2	1	6	9	15	24	0	1	5	1	3	0	138	44	47	47	0	122	55	12	89	8	0	0.00%	6	0	100.00%	0	38	73	52.05%	45	78	57.69%	18	46	39.13%	96	63	81	29	62	32
Total Regular Season	4	3	1	0	0	0	0	0	9	5	4	2	2	0	0	0	0	0	0	6	3	3	2	1	1	0	0	0	0	0	3	2	1	6	9	15	24	0	1	5	1	3	0	138	44	47	47	0	122	55	12	89	8	0	0.00%	6	0	100.00%	0	38	73	52.05%	45	78	57.69%	18	46	39.13%	96	63	81	29	62	32