Penguins
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension
Web Roster Editor
Web Lines Editor

Team Leaders

Team Stats

Team Info
	General Manager	Sylvain Leblanc
	Coach	Pat Burns
	Division	Ziegler
	Conference	Clarence Campbell
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	PPG Paint Arena
	Capacity	18,000
	Attendance
	Season Tickets	7,200
Roster Info
	Pro Team	19
	Farm Team	31
	Contract Limit	50 / 250
	Prospects	0
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	88,708,535$
	Special Salary Cap Value	0$
	Players In Salary Cap	19
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	28,708,535$
	Projected Bank Account	28,708,535$

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	Steven Stamkos	X				100.00	82	28	82	91	83	95	82	94	86	87	84	73	92	82	80	37	40	84	2	27	3	8,000,000$
2	Derek Stepan	X				100.00	80	31	83	82	79	85	85	89	83	87	81	66	74	70	58	34	40	79	1	27	1	5,250,000$
3	Jamie Benn		X			100.00	82	37	81	77	82	77	77	78	81	80	76	71	79	74	55	30	40	76	0	28	1	2,750,000$
4	Marcus Foligno			X		100.00	79	42	77	79	83	77	79	79	75	80	82	75	71	61	55	33	40	76	0	26	1	2,000,000$
5	William Nylander (R)		X			100.00	76	44	85	72	73	71	78	78	78	77	77	67	70	57	46	60	40	73	0	21	3	1,500,000$
6	Oliver Ekman-Larsson				X	100.00	87	46	87	84	82	84	82	86	66	87	76	84	75	82	50	43	40	82	2	26	1	6,800,000$
7	Oscar Klefbom				X	100.00	74	29	88	85	80	82	86	87	55	88	76	78	61	71	48	43	43	79	1	24	1	3,000,000$
8	Nick Leddy				X	100.00	78	28	86	80	80	84	84	79	61	80	80	75	73	74	50	39	40	77	1	26	1	3,000,000$
9	Robert Hagg				X	100.00	70	28	88	78	80	81	74	75	45	75	60	86	60	54	46	48	40	75	0	22	2	1,500,000$
Scratches
1	Nikita Kucherov			X		100.00	73	35	81	87	81	87	86	87	74	80	93	61	84	67	56	49	40	79	1	24	4	5,250,000$
2	Cal Clutterbuck			X		100.00	84	38	75	83	83	76	76	74	70	82	77	79	68	72	64	21	40	76	0	30	2	1,750,000$
3	Jamie Arniel	X				100.00	77	41	79	75	77	78	76	80	79	84	70	76	78	77	67	29	40	76	0	28	2	2,250,000$
4	Joe Colborne	X				100.00	77	30	72	80	77	77	78	77	77	81	79	72	66	57	53	31	40	74	0	27	1	1,200,000$
5	Andy Andreoff		X			100.00	92	70	74	74	89	66	88	70	68	71	69	67	74	70	61	38	40	72	0	26	1	900,000$
6	Brandon Tanev		X			100.00	81	45	71	82	87	57	85	75	56	74	75	72	60	57	54	41	40	72	0	26	3	1,000,000$
7	Keith Aulie				X	100.00	82	36	73	81	80	84	77	83	59	83	75	83	67	82	54	24	40	79	1	28	2	3,750,000$
8	Justin Schultz				X	100.00	82	42	81	81	81	79	80	83	67	84	70	77	73	71	52	36	40	78	1	27	1	3,500,000$
Farm Team
1	Frederick Gaudreau (R)	X				100.00	67	47	87	65	74	87	80	73	64	74	65	71	66	57	51	51	40	70	0	24	3	1,000,000$
2	Iven Barbashev (R)		X			100.00	67	41	73	76	73	70	70	70	68	75	69	62	75	46	44	51	40	68	0	21	3	600,000$
3	Max Gortz (R)			X		100.00	57	33	83	67	63	63	64	70	65	67	73	53	72	51	49	37	40	65	0	24	2	625,000$
4	Curtis Hamilton		X			100.00	59	26	81	64	67	72	65	67	61	69	72	50	65	55	56	30	40	64	0	26	1	600,000$
5	Sam Kurker (R)			X		100.00	70	43	64	66	75	63	79	70	63	66	69	53	57	45	45	36	40	64	0	23	2	575,000$
6	Adam Brooks (R)	X				100.00	69	35	73	55	78	60	62	66	69	72	77	46	65	44	45	58	40	64	0	21	1	500,000$
7	German Rubtsov (R)	X				100.00	50	39	74	50	54	55	49	60	52	56	59	39	49	41	41	65	40	53	0	19	1	500,000$
8	Christopher Tanev				X	100.00	76	51	95	71	73	77	84	63	51	77	60	82	53	66	66	41	40	75	0	28	2	995,000$
9	Dakota Mermis (R)				X	100.00	68	37	82	79	69	68	68	67	52	69	69	69	67	57	50	48	40	69	0	23	2	900,000$
10	Gavin Bayreuther (R)				X	100.00	57	38	73	81	63	63	66	85	32	87	60	65	40	53	50	56	40	68	0	23	1	500,000$
11	Danny Biega				X	100.00	65	36	80	61	68	73	65	63	43	71	57	76	45	61	56	26	40	67	0	26	1	650,000$
12	Josh Jooris			X		100.00	77	33	72	76	72	73	79	75	72	73	78	66	68	75	72	31	40	73	0	27	1	975,000$
13	Cedric Paquette (R)	X				100.00	88	64	82	67	80	62	85	77	64	70	67	57	68	58	50	42	40	69	0	24	2	700,000$
14	Kyle Connor (R)		X			100.00	61	34	89	75	72	74	78	73	59	60	88	51	77	51	46	62	40	69	0	21	3	800,000$
15	Evan Rodrigues (R)			X		100.00	65	53	79	70	74	78	76	70	65	72	71	65	75	51	49	51	40	69	0	24	4	900,000$
16	Anthony Beauvillier (R)			X		100.00	68	48	76	70	70	66	71	70	75	74	68	65	72	45	43	63	40	68	0	20	4	700,000$
17	Eetu Luostarinen (R)	X				100.00	53	31	91	66	63	80	73	52	64	67	54	70	51	43	41	75	40	63	0	20	2	500,000$
18	Denis Malgin (R)	X				100.00	70	38	71	65	61	68	69	69	69	62	65	54	71	43	44	61	40	63	0	20	4	500,000$
19	Raphael Bussieres (R)		X			100.00	65	40	72	64	71	62	63	63	58	65	70	56	66	46	47	33	40	63	0	24	1	575,000$
20	Juuso Ikonen (R)		X			100.00	54	29	75	67	63	59	59	71	60	62	66	62	64	44	46	43	40	62	0	22	2	500,000$
21	Jeff Malott (R)		X			100.00	67	37	65	55	74	59	54	60	64	70	81	40	64	47	45	60	40	62	0	22	2	500,000$
22	Josh Ho-Sang (R)			X		100.00	56	36	69	63	64	65	66	66	53	59	67	35	58	43	43	47	40	58	0	21	3	500,000$
23	Brett Pollock (R)		X			100.00	56	30	70	61	58	63	56	56	56	63	49	62	50	43	43	49	40	57	0	21	2	500,000$
24	Steven Spinner (R)			X		100.00	64	56	59	53	68	57	71	53	55	54	60	38	48	43	43	45	40	55	0	21	2	500,000$
25	Andrew O'Brien				X	100.00	77	59	80	69	75	65	75	62	53	72	64	75	59	64	53	37	40	71	0	25	1	800,000$
26	John Marino (R)				X	100.00	70	44	79	68	64	70	70	70	54	74	59	65	53	43	44	58	40	66	0	20	4	700,000$
27	Matthew Finn (R)				X	100.00	58	28	76	69	63	62	62	70	39	71	48	70	49	45	45	33	40	64	0	23	2	550,000$
28	Austin Strand (R)				X	100.00	57	31	65	57	63	56	66	66	33	59	45	59	49	43	45	57	40	58	0	21	2	500,000$

	TEAM AVERAGE					100.00	70	39	78	72	73	71	73	72	62	73	70	65	65	57	51	44	40	69

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	Viktor Fasth	100.00	63	75	67	74	79	74	82	76	87	70	75	88	99	14	40	78	1	35	1	4,000,000$
Scratches
1	Andrei Vasilevskiy	100.00	70	92	69	74	77	75	78	92	82	77	71	54	49	45	39	77	0	23	2	2,500,000$
Farm Team
1	Connor Hellebyuk	100.00	73	73	74	70	70	69	67	69	72	80	77	62	50	37	40	70	0	24	1	900,000$
2	Anthony Stolarz	100.00	73	70	78	57	63	71	71	65	54	76	62	46	49	41	40	65	0	23	1	800,000$
3	Jeremy Swayman (R)	100.00	49	79	61	68	63	69	74	82	78	63	50	43	41	82	40	68	0	20	2	500,000$

	TEAM AVERAGE	100.00	66	78	70	69	70	72	74	77	75	73	67	59	58	44	40	72

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Pat Burns	79	89	88	76	99	99	46	CAN	61	1	2,000,000$

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	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	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Andrei Vasilevskiy	Penguins	G	23	1994-01-01	No	198 Lbs	6 ft3	No	No	No	2	Pro Only	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No	3,000,000$			Link
Andy Andreoff	Penguins	LW	26	1991-01-01	No	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	900,000$	900,000$	900,000$	900,000$	No
Brandon Tanev	Penguins	LW	26	1991-01-01	No	181 Lbs	6 ft0	No	No	No	3	Pro Only	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	1,200,000$	1,500,000$		Link
Cal Clutterbuck	Penguins	RW	30	1987-01-01	No	213 Lbs	5 ft11	No	No	No	2	Pro Only	1,750,000$	1,750,000$	1,750,000$	1,750,000$	No	1,500,000$
Derek Stepan	Penguins	C	27	1990-01-01	No	190 Lbs	6 ft0	No	No	No	1	Pro Only	5,250,000$	5,250,000$	5,250,000$	5,250,000$	No
Jamie Arniel	Penguins	C	28	1989-01-01	No	183 Lbs	5 ft11	No	No	No	2	Pro Only	2,250,000$	2,250,000$	2,250,000$	2,250,000$	No	2,250,000$
Jamie Benn	Penguins	LW	28	1989-01-01	No	205 Lbs	6 ft2	No	No	No	1	Pro Only	2,750,000$	2,750,000$	2,750,000$	2,750,000$	No
Joe Colborne	Penguins	C	27	1990-01-01	No	213 Lbs	6 ft5	No	No	No	1	Pro Only	1,200,000$	1,200,000$	1,200,000$	1,200,000$	No
Justin Schultz	Penguins	D	27	1990-01-01	No	163 Lbs	6 ft1	No	No	No	1	Pro Only	3,500,000$	3,500,000$	3,500,000$	3,500,000$	No
Keith Aulie	Penguins	D	28	1989-01-01	No	217 Lbs	6 ft6	No	No	No	2	Pro Only	3,750,000$	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$
Marcus Foligno	Penguins	RW	26	1991-01-01	No	223 Lbs	6 ft3	No	No	No	1	Pro Only	2,000,000$	2,000,000$	2,000,000$	2,000,000$	No
Nick Leddy	Penguins	D	26	1991-01-01	No	191 Lbs	6 ft0	No	No	No	1	Pro Only	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No
Nikita Kucherov	Penguins	RW	24	1993-01-01	No	178 Lbs	5 ft11	No	No	No	4	Pro Only	5,250,000$	5,250,000$	5,250,000$	5,250,000$	No	5,500,000$	5,750,000$	6,000,000$
Oliver Ekman-Larsson	Penguins	D	26	1991-01-01	No	190 Lbs	6 ft2	No	No	No	1	Pro Only	6,800,000$	6,800,000$	6,800,000$	6,800,000$	No
Oscar Klefbom	Penguins	D	24	1993-01-01	No	215 Lbs	6 ft3	No	No	No	1	Pro Only	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No
Robert Hagg	Penguins	D	22	1995-01-01	No	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	2,000,000$			Link
Steven Stamkos	Penguins	C	27	1990-01-01	No	188 Lbs	6 ft1	No	No	No	3	Pro Only	8,000,000$	8,000,000$	8,000,000$	8,000,000$	No	8,000,000$	10,000,000$
Viktor Fasth	Penguins	G	35	1982-01-01	No	186 Lbs	6 ft0	No	No	No	1	Pro Only	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No
William Nylander	Penguins	LW	21	1996-01-01	Yes	191 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	2,500,000$	2,500,000$		Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
19	26.37	195 Lbs	6 ft1	1.74	3,152,632$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
59,900,000$	29,700,000$	19,750,000$	6,000,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jamie Benn	Steven Stamkos		40	1	2	2
2	William Nylander	Derek Stepan		30	1	2	2
3				20	1	2	2
4			Marcus Foligno	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Oliver Ekman-Larsson		40	1	2	2
2		Nick Leddy	30	1	2	2
3		Robert Hagg	20	1	2	2
4	Oliver Ekman-Larsson		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	William Nylander	Steven Stamkos		60	0	0	5
2	Jamie Benn	Derek Stepan		40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Oliver Ekman-Larsson		60	0	1	4
2		Nick Leddy	40	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Steven Stamkos		60	1	4	0
2		Marcus Foligno	40	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Oliver Ekman-Larsson		60	1	4	0
2		Robert Hagg	40	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	4	0	Oliver Ekman-Larsson		60	1	4	0
2	Marcus Foligno	40	1	4	0		Robert Hagg	40	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Steven Stamkos		60	1	0	4
2	Derek Stepan		40	1	0	4

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Oliver Ekman-Larsson		60	1	2	2
2		Nick Leddy	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
William Nylander	Steven Stamkos		Oliver Ekman-Larsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jamie Benn			Oliver Ekman-Larsson

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Jamie Benn,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Oliver Ekman-Larsson, , Robert Hagg	Oliver Ekman-Larsson	, Oliver Ekman-Larsson

Penalty Shots
Steven Stamkos, , Derek Stepan, , Jamie Benn

Goalie
#1 : Viktor Fasth, #2 :

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

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	0.00%	0.00%	0.00%	0.00%	0.00%
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	Capacity	Team Popularity
40	0 - 0.00%	0$	0$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	59,900,000$	42,600,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	19	0

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

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
0$	28,708,535$	28,708,535$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
0$	88,708,535$	88,708,535$	-35,000,000$

Depth Chart

Left Wing

Center

Right Wing

Jamie Benn	AGE:28	PO:30	OV:76
William Nylander (R)	AGE:21	PO:60	OV:73
Brandon Tanev	AGE:26	PO:41	OV:72
Andy Andreoff	AGE:26	PO:38	OV:72
Kyle Connor (R)	AGE:21	PO:62	OV:69
Iven Barbashev (R)	AGE:21	PO:51	OV:68
Curtis Hamilton	AGE:26	PO:30	OV:64
Raphael Bussieres (R)	AGE:24	PO:33	OV:63
Jeff Malott (R)	AGE:22	PO:60	OV:62
Juuso Ikonen (R)	AGE:22	PO:43	OV:62
Brett Pollock (R)	AGE:21	PO:49	OV:57

Steven Stamkos	AGE:27	PO:37	OV:84
Derek Stepan	AGE:27	PO:34	OV:79
Jamie Arniel	AGE:28	PO:29	OV:76
Joe Colborne	AGE:27	PO:31	OV:74
Frederick Gaudreau (R)	AGE:24	PO:51	OV:70
Cedric Paquette (R)	AGE:24	PO:42	OV:69
Adam Brooks (R)	AGE:21	PO:58	OV:64
Eetu Luostarinen (R)	AGE:20	PO:75	OV:63
Denis Malgin (R)	AGE:20	PO:61	OV:63
German Rubtsov (R)	AGE:19	PO:65	OV:53

Nikita Kucherov	AGE:24	PO:49	OV:79
Marcus Foligno	AGE:26	PO:33	OV:76
Cal Clutterbuck	AGE:30	PO:21	OV:76
Josh Jooris	AGE:27	PO:31	OV:73
Evan Rodrigues (R)	AGE:24	PO:51	OV:69
Anthony Beauvillier (R)	AGE:20	PO:63	OV:68
Max Gortz (R)	AGE:24	PO:37	OV:65
Sam Kurker (R)	AGE:23	PO:36	OV:64
Josh Ho-Sang (R)	AGE:21	PO:47	OV:58
Steven Spinner (R)	AGE:21	PO:45	OV:55

Defense #1

Defense #2

Goalie

Oliver Ekman-Larsson	AGE:26	PO:43	OV:82
Oscar Klefbom	AGE:24	PO:43	OV:79
Keith Aulie	AGE:28	PO:24	OV:79
Justin Schultz	AGE:27	PO:36	OV:78
Nick Leddy	AGE:26	PO:39	OV:77
Robert Hagg	AGE:22	PO:48	OV:75
Christopher Tanev	AGE:28	PO:41	OV:75

Andrew O'Brien	AGE:25	PO:37	OV:71
Dakota Mermis (R)	AGE:23	PO:48	OV:69
Gavin Bayreuther (R)	AGE:23	PO:56	OV:68
Danny Biega	AGE:26	PO:26	OV:67
John Marino (R)	AGE:20	PO:58	OV:66
Matthew Finn (R)	AGE:23	PO:33	OV:64
Austin Strand (R)	AGE:21	PO:57	OV:58

Viktor Fasth	AGE:35	PO:14	OV:78
Andrei Vasilevskiy	AGE:23	PO:45	OV:77
Connor Hellebyuk	AGE:24	PO:37	OV:70
Jeremy Swayman (R)	AGE:20	PO:82	OV:68
Anthony Stolarz	AGE:23	PO:41	OV:65

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	Information	Lien

Draft Picks

Year	R1	R2	R3	R4	R5
2
3
4
5
6

[2022-10-24 6:31:05 PM] - Evan Rodrigues signed with Penguins for $900,000 for 4 year(s).
[2022-10-24 6:31:05 PM] - Evan Rodrigues was added to Penguins.
[2022-10-11 5:43:25 PM] - Lars Eller was released.
[2022-10-11 5:43:25 PM] - Penguins paid $0 to release Lars Eller.

[2022-10-24 6:31:05 PM] Evan Rodrigues signed with Penguins for $900,000 for 4 year(s).
[2022-10-24 6:31:05 PM] Evan Rodrigues was added to Penguins.
[2022-10-11 5:43:25 PM] Lars Eller was released by Penguins.
[2022-10-11 5:43:25 PM] Penguins paid $0 to release Lars Eller.
[2022-10-11 5:43:21 PM] Penguins roster errors : Not enough Defenseman available in Farm Team! 4 Dressed. 5 Required. Not enough Players available in Farm Team! 11 Dressed. 18 Required. Some errors will be automatically fixed.
[2022-10-11 5:43:21 PM] Penguins roster errors : Not enough Centers available in Pro Team! 2 Dressed. 3 Required. Not enough Left Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 1 Dressed. 3 Required. Not enough Forward available in Pro Team! 5 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 4 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 9 Dressed. 18 Required. Some errors will be automatically fixed.

No Injury or Suspension.

Penguins 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

Penguins 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

Penguins 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

Penguins 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	PSG	PSS

Penguins Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Penguins
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : Sylvain Leblanc \| Morale : 40 \| Team Overall : 77