Penguins
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
Web Lines Editor

Game Center
	Americans 16-11-0, 32pts	7	FINAL	3	Penguins 11-9-0, 22pts

Team Stats
W2	Streak	L2
9-5-0	Home Record	5-4-0
7-6-0	Away Record	6-5-0
6-4-0	Last 10 Games	5-5-0
3.93	Goals Per Game	3.15
3.26	Goals Against Per Game	3.20
19.32%	Power Play Percentage	16.67%
78.41%	Penalty Kill Percentage	80.65%

Penguins
11-9-0, 22pts

FINAL

Americans
16-11-0, 32pts

Team Stats
L2	Streak	W2
5-4-0	Home Record	9-5-0
6-5-0	Away Record	7-6-0
5-5-0	Last 10 Games	6-4-0
3.15	Goals Per Game	3.93
3.20	Goals Against Per Game	3.26
16.67%	Power Play Percentage	19.32%
80.65%	Penalty Kill Percentage	78.41%

Team Leaders




	Wins Christopher Gibson 11	Save Percentage Christopher Gibson 0.907

Team Stats
Goals For 63 3.15 GFG	Shots For 699 34.95 Avg	Power Play Percentage 16.7% 10 GF	Offensive Zone Start 39.3%
Goals Against 64 3.20 GAA	Shots Against 669 33.45 Avg	Penalty Kill Percentage 80.6% 12 GA	Defensive Zone Start 42.7%

Team Info
	General Manager	Frank-Olivier Allard-Bouchard
	Coach	Scott Gordon
	Division	Atlantic Division
	Conference	Eastern Conference
	Captain	Gabriel Vilardi
	Assistant #1	Jakub Zboril
	Assistant #2	Jamie Drysdale
Arena Info
	Capacity	3,000
	Attendance	2,087
	Season Tickets	300
Roster Info
	Pro Team	30
	Farm Team	20
	Contract Limit	50 / 80
	Prospects	33
Team History
	This Season	11-9
	History	43-32-10 (0.506%)
	Playoff Appearances	0
	Playoff Record (W-L)	11-9
	Stanley Cup	0

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	Gabriel Vilardi (C)	0	X		X		100.00	54	35	94	71	84	85	82	73	81	70	68	65	72	63	66	0	75	67	0	22	2	925,000$
2	Buddy Robinson	0		X	X		100.00	80	76	84	61	99	73	76	62	56	61	64	65	63	78	68	0	75	65	0	30	1	700,000$
3	Byron Froese	0	X		X		100.00	66	37	89	64	78	75	79	66	78	62	64	68	63	78	75	0	75	65	0	30	1	750,000$
4	Joel Kellman	0	X				100.00	68	35	92	64	71	68	72	65	77	66	64	69	63	73	68	0	75	65	0	27	2	950,000$
5	Radim Zohorna (R)	0	X	X	X		100.00	58	43	84	65	96	84	78	66	69	68	65	58	65	69	66	0	75	65	0	25	3	925,000$
6	Tim Gettinger	0		X			100.00	79	73	76	61	96	74	78	62	59	64	63	58	62	65	64	0	75	64	0	23	2	925,000$
7	Liam O'Brien	0	X	X			100.00	82	63	54	62	80	70	74	60	63	64	60	61	61	73	67	0	75	63	0	27	3	974,700$
8	Ryan MacInnis	0	X	X			100.00	63	35	87	61	86	79	83	62	74	63	60	57	61	69	66	0	75	63	0	25	1	750,000$
9	Kole Sherwood	0			X		100.00	86	55	71	62	80	69	70	63	56	62	61	63	62	67	64	0	75	63	0	24	1	999,999$
10	Sven Baertschi	0		X			100.00	58	36	79	67	70	74	73	66	58	67	60	55	64	77	73	0	75	63	0	29	2	2,525,000$
11	Joel Lowry	0		X			100.00	64	51	74	58	73	88	93	57	62	60	56	58	57	78	70	0	75	61	0	30	3	925,000$
12	Brandon Coe (R)	0			X		100.00	65	39	87	63	84	73	68	59	52	58	53	60	56	61	63	0	75	60	0	20	3	925,000$
13	Jamie Drysdale (R) (A)	0				X	100.00	54	35	92	70	69	74	83	69	30	68	65	59	52	61	65	0	75	65	0	19	3	925,000$
14	Jakub Zboril (A)	0				X	100.00	81	39	86	66	73	87	84	65	30	66	54	63	51	67	64	0	75	64	0	24	2	1,190,000$
15	Brandon Manning	0				X	100.00	61	74	57	64	78	77	75	63	30	62	60	61	50	79	71	0	75	63	0	31	1	1,765,000$
16	Kevin Gravel	0				X	100.00	55	35	95	58	87	73	72	58	30	59	56	62	48	77	72	0	75	62	0	29	2	1,499,000$
17	Lassi Thomson (R)	0				X	100.00	63	39	87	57	72	80	85	56	30	61	52	54	46	61	61	0	75	59	0	21	3	925,000$
Scratches
1	Martin Pospisil	0		X			100.00	66	38	54	59	75	78	73	61	74	60	58	56	61	63	62	0	75	60	0	22	2	750,000$
2	Oula Palve	0	X				100.00	61	39	74	56	70	88	93	54	52	55	53	57	56	77	69	0	75	59	0	29	2	750,000$
3	Antoine Waked	0			X		100.00	74	62	59	57	78	74	79	56	55	52	53	58	55	69	65	0	75	59	0	25	1	750,000$
4	Reid Duke	0	X				100.00	64	37	68	58	73	67	72	57	70	56	59	54	58	69	65	0	75	59	0	25	1	750,000$
5	Jake Leschyshyn	0	X				100.00	60	46	80	56	69	87	92	54	65	53	55	52	54	63	62	0	75	58	0	22	2	925,000$
6	Rob O'Gara	0				X	100.00	80	56	75	57	89	67	71	55	30	53	54	59	46	75	68	0	75	60	0	28	1	750,000$
7	Patrick Sieloff	0				X	100.00	69	37	67	56	78	66	71	54	30	55	53	57	45	73	67	0	75	59	0	27	1	750,000$
8	Peter Stoykewych	0				X	100.00	69	34	72	54	78	76	72	53	30	52	50	55	45	77	69	0	75	58	0	29	1	750,000$

	TEAM AVERAGE					100.00	67	46	77	61	79	76	78	61	54	61	58	59	57	70	67	0	75	62

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	Christopher Gibson	100.00	77	89	88	84	76	75	77	76	75	77	76	77	83	0	75	68	0	29	2	750,000$
2	Olivier Rodrigue (R)	100.00	70	85	83	70	69	68	70	69	68	70	69	61	65	0	75	62	0	21	3	925,000$
Scratches
1	Vasily Demchenko (R)	100.00	72	78	76	79	71	70	72	71	70	72	71	73	77	0	75	64	0	27	1	750,000$
2	Antoine Bibeau	100.00	68	74	72	84	67	66	68	67	66	68	67	73	77	0	75	62	0	27	2	1,250,000$
3	Mike Condon	100.00	64	71	79	80	63	62	64	63	62	64	63	79	85	0	75	61	0	31	1	1,750,000$

	TEAM AVERAGE	100.00	70	79	80	79	69	68	70	69	68	70	69	73	77	0	75	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Scott Gordon	71	70	67	74	90	84	59	USA	58	2	750,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	S1	S2	S3
1	Gabriel Vilardi	Penguins (PIT)	C/RW	20	10	14	24	10	2	5	53	87	21	51	11.49%	4	347	17.39	1	2	3	13	55	0	0	0	0	3	1	0	55.43%	442	1	1	1.38	2	0	2
2	Byron Froese	Penguins (PIT)	C/RW	20	8	11	19	4	2	10	73	75	14	48	10.67%	3	380	19.03	1	2	3	12	49	0	0	0	0	51	0	0	56.25%	544	1	0	1.00	0	0	0
3	Buddy Robinson	Penguins (PIT)	LW/RW	20	6	9	15	11	10	56	33	58	20	35	10.34%	6	372	18.64	0	0	0	8	43	0	1	1	2	47	2	0	53.85%	26	0	0	0.80	0	3	2
4	Tim Gettinger	Penguins (PIT)	LW	20	6	9	15	0	10	48	25	42	16	37	14.29%	1	329	16.49	1	3	4	7	51	0	0	0	0	3	0	0	50.00%	28	0	0	0.91	0	1	1
5	Jamie Drysdale	Penguins (PIT)	D	20	3	11	14	-1	2	5	30	33	7	18	9.09%	22	425	21.26	2	2	4	20	53	0	0	0	0	23	0	0	0.00%	0	0	0	0.66	0	1	1
6	Jakub Zboril	Penguins (PIT)	D	20	2	12	14	0	10	67	26	33	8	28	6.06%	35	464	23.23	2	1	3	18	54	0	1	1	1	59	1	0	0.00%	0	0	0	0.60	3	0	0
7	Brandon Manning	Penguins (PIT)	D	20	3	10	13	3	20	49	27	25	10	25	12.00%	25	437	21.90	2	2	4	14	49	1	0	1	1	37	1	0	0.00%	0	0	0	0.59	0	1	2
8	Radim Zohorna	Penguins (PIT)	C/LW/RW	20	7	5	12	1	4	7	34	74	17	43	9.46%	3	367	18.37	0	2	2	15	55	0	0	0	1	12	3	0	44.19%	43	0	0	0.65	1	0	0
9	Sven Baertschi	Penguins (PIT)	LW	14	3	8	11	6	0	9	15	36	8	21	8.33%	1	223	15.96	1	1	2	6	40	0	0	0	0	0	0	1	45.45%	11	0	0	0.98	0	0	0
10	Kole Sherwood	Penguins (PIT)	RW	19	5	4	9	-5	8	44	29	58	13	49	8.62%	12	326	17.20	0	0	0	0	2	0	0	0	1	44	3	1	44.00%	25	0	0	0.55	0	1	0
11	Kevin Gravel	Penguins (PIT)	D	20	1	7	8	2	0	11	20	15	6	14	6.67%	29	391	19.59	0	1	1	0	2	0	0	0	0	58	0	0	0.00%	0	0	0	0.41	1	0	1
12	Joel Kellman	Penguins (PIT)	C	10	3	2	5	-5	2	2	27	27	7	14	11.11%	1	149	14.99	0	0	0	0	4	0	0	0	0	24	0	0	55.83%	206	0	0	0.67	0	0	0
13	Lassi Thomson	Penguins (PIT)	D	20	0	4	4	1	10	19	17	17	4	6	0.00%	12	403	20.16	0	0	0	9	50	0	0	0	0	3	0	0	0.00%	0	0	0	0.20	0	0	0
14	Ryan MacInnis	Penguins (PIT)	C/LW	20	0	3	3	-6	0	5	26	34	7	23	0.00%	0	266	13.32	0	0	0	0	1	0	0	0	0	0	0	0	52.94%	187	0	0	0.23	0	1	0
15	Liam O'Brien	Penguins (PIT)	C/LW	20	1	1	2	-5	6	27	22	24	8	14	4.17%	6	214	10.71	0	0	0	0	0	0	0	0	0	24	0	0	44.21%	233	0	0	0.19	0	0	0
16	Joel Lowry	Penguins (PIT)	LW	20	2	0	2	-3	0	5	12	29	12	13	6.90%	4	231	11.56	0	0	0	0	0	0	0	0	0	0	0	0	46.67%	15	0	0	0.17	1	0	0
17	Rob O'Gara	Penguins (PIT)	D	15	1	1	2	-3	34	47	7	5	5	4	20.00%	13	252	16.83	0	0	0	1	0	0	0	0	0	22	0	0	0.00%	0	0	0	0.16	0	0	0
18	Brandon Coe	Penguins (PIT)	RW	9	1	0	1	-3	0	0	3	13	3	10	7.69%	1	74	8.25	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	3	0	0	0.27	0	0	0
19	Martin Pospisil	Penguins (PIT)	LW	11	1	0	1	-3	4	5	10	12	0	8	8.33%	1	121	11.05	0	0	0	0	0	0	0	0	0	0	0	0	57.14%	7	0	0	0.16	0	0	0
Team Total or Average				338	63	111	174	4	124	421	489	697	186	461	9.04%	179	5781	17.11	10	16	26	123	515	1	2	3	6	419	11	2	53.22%	1770	2	1	0.60	8	8	9

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	GA	SA	EG	ST	BG	S1
1	Christopher Gibson	Penguins (PIT)	20	11	6	2	0.907	2.94	1142	56	601	1	20	0	2
2	Olivier Rodrigue	Penguins (PIT)	2	0	1	0	0.896	4.52	93	7	67	0	0	20	0
Team Total or Average			22	11	7	2	0.906	3.06	1235	63	668	1	20	20	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	Type	Current Salary	Salary Average	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Antoine Bibeau	Penguins (PIT)	G	27	5/1/1994	No	205 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,250,000$	1,250,000$	0$	0$	No	1,250,000$		Link / NHL Link
Antoine Waked	Penguins (PIT)	RW	25	5/17/1996	No	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Brandon Coe	Penguins (PIT)	RW	20	12/1/2001	Yes	188 Lbs	6 ft4	No	No	No	3	Pro & Farm	925,000$	550,000$	0$	0$	No	925,000$	925,000$
Brandon Manning (1 Way Contract)	Penguins (PIT)	D	31	6/4/1990	No	205 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	1,765,000$	1,765,000$	1,765,000$	0$	No			Link / NHL Link
Buddy Robinson	Penguins (PIT)	LW/RW	30	9/30/1991	No	232 Lbs	6 ft6	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	0$	No			Link / NHL Link
Byron Froese	Penguins (PIT)	C/RW	30	3/12/1991	No	202 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Christopher Gibson	Penguins (PIT)	G	29	12/27/1992	No	217 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Link / NHL Link
Gabriel Vilardi	Penguins (PIT)	C/RW	22	8/16/1999	No	201 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link / NHL Link
Jake Leschyshyn	Penguins (PIT)	C	22	3/10/1999	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link / NHL Link
Jakub Zboril	Penguins (PIT)	D	24	2/21/1997	No	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,190,000$	1,190,000$	0$	0$	No	1,190,000$		Link / NHL Link
Jamie Drysdale	Penguins (PIT)	D	19	4/8/2002	Yes	175 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	550,000$	0$	0$	No	925,000$	925,000$
Joel Kellman	Penguins (PIT)	C	27	5/25/1994	No	192 Lbs	5 ft11	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
Joel Lowry	Penguins (PIT)	LW	30	11/15/1991	No	180 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	550,000$	0$	0$	No	925,000$	925,000$	Link / NHL Link
Kevin Gravel	Penguins (PIT)	D	29	3/6/1992	No	205 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$		Link / NHL Link
Kole Sherwood	Penguins (PIT)	RW	24	1/22/1997	No	212 Lbs	6 ft1	No	No	No	1	Pro & Farm	999,999$	999,999$	0$	0$	No			Link / NHL Link
Lassi Thomson	Penguins (PIT)	D	21	9/24/2000	Yes	190 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	550,000$	0$	0$	No	925,000$	925,000$
Liam O'Brien	Penguins (PIT)	C/LW	27	7/29/1994	No	213 Lbs	6 ft1	No	No	No	3	Pro & Farm	974,700$	974,700$	0$	0$	No	974,700$	974,700$	Link / NHL Link
Martin Pospisil	Penguins (PIT)	LW	22	11/19/1999	No	173 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Link / NHL Link
Mike Condon (1 Way Contract)	Penguins (PIT)	G	31	4/27/1990	No	196 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	0$	No			Link / NHL Link
Olivier Rodrigue	Penguins (PIT)	G	21	7/6/2000	Yes	158 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	550,000$	0$	0$	No	925,000$	925,000$
Oula Palve	Penguins (PIT)	C	29	2/19/1992	No	176 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Link / NHL Link
Patrick Sieloff	Penguins (PIT)	D	27	5/15/1994	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Peter Stoykewych	Penguins (PIT)	D	29	7/14/1992	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Radim Zohorna	Penguins (PIT)	C/LW/RW	25	4/29/1996	Yes	220 Lbs	6 ft6	No	No	No	3	Pro & Farm	925,000$	550,000$	0$	0$	No	925,000$	925,000$
Reid Duke	Penguins (PIT)	C	25	1/28/1996	No	191 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Rob O'Gara	Penguins (PIT)	D	28	7/6/1993	No	214 Lbs	6 ft4	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Ryan MacInnis	Penguins (PIT)	C/LW	25	2/14/1996	No	201 Lbs	6 ft4	No	No	No	1	Pro & Farm	750,000$	550,000$	0$	0$	No			Link / NHL Link
Sven Baertschi (1 Way Contract)	Penguins (PIT)	LW	29	10/5/1992	No	190 Lbs	5 ft11	No	No	Yes	2	Pro & Farm	2,525,000$	910,000$	2,525,000$	0$	No	2,525,000$		Link / NHL Link
Tim Gettinger	Penguins (PIT)	LW	23	4/14/1998	No	218 Lbs	6 ft6	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link / NHL Link
Vasily Demchenko	Penguins (PIT)	G	27	3/16/1994	Yes	193 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
30	25.93	197 Lbs	6 ft2	1.83	1,005,957$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Sven Baertschi	Gabriel Vilardi	Buddy Robinson	28	0	2	3
2	Tim Gettinger	Byron Froese	Radim Zohorna	28	0	2	3
3	Ryan MacInnis	Joel Kellman	Kole Sherwood	26	0	2	3
4	Joel Lowry	Liam O'Brien	Brandon Coe	18	0	3	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jamie Drysdale	Jakub Zboril	33	0	4	1
2	Brandon Manning	Lassi Thomson	33	0	4	1
3	Kevin Gravel		17	0	4	1
4	Kevin Gravel		17	0	4	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Sven Baertschi	Gabriel Vilardi	Radim Zohorna	50	0	0	5
2	Tim Gettinger	Byron Froese	Buddy Robinson	50	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jamie Drysdale	Jakub Zboril	60	1	2	2
2	Lassi Thomson	Brandon Manning	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Byron Froese	Buddy Robinson	50	0	5	0
2	Joel Kellman	Kole Sherwood	50	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brandon Manning	Kevin Gravel	50	0	5	0
2	Jakub Zboril		50	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Joel Kellman	50	0	5	0	Brandon Manning	Kevin Gravel	50	0	5	0
2	Gabriel Vilardi	50	0	5	0	Jakub Zboril		50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Gabriel Vilardi	Radim Zohorna	60	0	2	3
2	Joel Kellman	Buddy Robinson	40	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jamie Drysdale	Jakub Zboril	60	0	4	1
2	Brandon Manning	Kevin Gravel	40	0	4	1

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Sven Baertschi	Gabriel Vilardi	Byron Froese	Jamie Drysdale	Jakub Zboril

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Buddy Robinson	Gabriel Vilardi	Byron Froese	Jakub Zboril	Kevin Gravel

Extra Forwards
Normal	PowerPlay	Penalty Kill
Joel Kellman, Gabriel Vilardi, Byron Froese	Gabriel Vilardi, Joel Kellman	Joel Kellman

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jakub Zboril, Jamie Drysdale, Kevin Gravel	Jamie Drysdale	Jakub Zboril, Kevin Gravel

Penalty Shots
Tim Gettinger, Radim Zohorna, Gabriel Vilardi, Lassi Thomson, Kole Sherwood

Goalie
#1 : Christopher Gibson, #2 : Olivier Rodrigue

Custom OT Lines Forwards
Gabriel Vilardi, Radim Zohorna, Sven Baertschi, Buddy Robinson, Ryan MacInnis, Joel Kellman, Joel Kellman, Liam O'Brien, Tim Gettinger, Byron Froese,

Custom OT Lines Defensemen
Jamie Drysdale, Jakub Zboril, Brandon Manning, Lassi Thomson, Kevin Gravel

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	Americans	7	3	4	0	0	0	0	0	21	29	-8	3	1	2	0	0	0	0	0	5	10	-5	4	2	2	0	0	0	0	0	16	19	-3	6	0.429	21	38	59	1	0	21	21	20	1	257	224	219	227	29	251	65	40	151	23	5	21.74%	19	3	84.21%	0	380	701	54.21%	392	762	51.44%	173	322	53.73%	474	328	502	151	260	129
2	Firebirds	6	4	2	0	0	0	0	0	19	19	0	3	2	1	0	0	0	0	0	10	12	-2	3	2	1	0	0	0	0	0	9	7	2	8	0.667	19	33	52	0	0	21	21	20	1	225	224	219	227	29	196	55	44	138	15	3	20.00%	22	7	68.18%	0	380	701	54.21%	392	762	51.44%	173	322	53.73%	474	328	502	151	260	129
3	Phantoms	7	4	3	0	0	0	0	0	23	16	7	3	2	1	0	0	0	0	0	13	5	8	4	2	2	0	0	0	0	0	10	11	-1	8	0.571	23	40	63	0	0	21	21	20	1	217	224	219	227	29	222	61	42	139	22	2	9.09%	21	2	90.48%	1	380	701	54.21%	392	762	51.44%	173	322	53.73%	474	328	502	151	260	129
	Total	20	11	9	0	0	0	0	0	63	64	-1	9	5	4	0	0	0	0	0	28	27	1	11	6	5	0	0	0	0	0	35	37	-2	22	0.550	63	111	174	1	0	21	21	20	1	699	224	219	227	29	669	181	126	428	60	10	16.67%	62	12	80.65%	1	380	701	54.21%	392	762	51.44%	173	322	53.73%	474	328	502	151	260	129
	_Since Last GM Reset	20	11	9	0	0	0	0	0	63	64	-1	9	5	4	0	0	0	0	0	28	27	1	11	6	5	0	0	0	0	0	35	37	-2	22	0.550	63	111	174	1	0	21	21	20	1	699	224	219	227	29	669	181	126	428	60	10	16.67%	62	12	80.65%	1	380	701	54.21%	392	762	51.44%	173	322	53.73%	474	328	502	151	260	129
	_Vs Conference	20	11	9	0	0	0	0	0	63	64	-1	9	5	4	0	0	0	0	0	28	27	1	11	6	5	0	0	0	0	0	35	37	-2	22	0.550	63	111	174	1	0	21	21	20	1	699	224	219	227	29	669	181	126	428	60	10	16.67%	62	12	80.65%	1	380	701	54.21%	392	762	51.44%	173	322	53.73%	474	328	502	151	260	129
	_Vs Division	7	4	3	0	0	0	0	0	23	16	7	3	2	1	0	0	0	0	0	13	5	8	4	2	2	0	0	0	0	0	10	11	-1	8	0.571	23	40	63	0	0	21	21	20	1	217	224	219	227	29	222	61	42	139	22	2	9.09%	21	2	90.48%	1	380	701	54.21%	392	762	51.44%	173	322	53.73%	474	328	502	151	260	129

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
20	22	L2	63	111	174	699	669	181	126	428	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	11	9	0	0	0	0	63	64

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	5	4	0	0	0	0	28	27

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	6	5	0	0	0	0	35	37

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	5	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
60	10	16.67%	62	12	80.65%	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
224	219	227	29	21	21	20	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
380	701	54.21%	392	762	51.44%	173	322	53.73%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
474	328	502	151	260	129

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	Link
1 - 2022-04-12	2	Penguins	0	Phantoms	3	AL		BoxScore
3 - 2022-04-14	10	Penguins	5	Phantoms	3	AW		BoxScore
5 - 2022-04-16	18	Phantoms	1	Penguins	4	BW		BoxScore
7 - 2022-04-18	26	Phantoms	1	Penguins	7	BW		BoxScore
9 - 2022-04-20	34	Penguins	1	Phantoms	3	AL		BoxScore
11 - 2022-04-22	42	Phantoms	3	Penguins	2	BL	X	BoxScore
13 - 2022-04-24	50	Penguins	4	Phantoms	2	AW		BoxScore
15 - 2022-04-26	57	Penguins	2	Firebirds	3	AL	X	BoxScore
17 - 2022-04-28	61	Penguins	4	Firebirds	3	AW		BoxScore
19 - 2022-04-30	65	Firebirds	3	Penguins	4	BW	X	BoxScore
21 - 2022-05-02	69	Firebirds	5	Penguins	1	BL		BoxScore
23 - 2022-05-04	73	Penguins	3	Firebirds	1	AW		BoxScore
25 - 2022-05-06	77	Firebirds	4	Penguins	5	BW		BoxScore
29 - 2022-05-10	85	Penguins	4	Americans	8	AL		BoxScore
31 - 2022-05-12	87	Penguins	5	Americans	3	AW		BoxScore
33 - 2022-05-14	89	Americans	2	Penguins	0	BL		BoxScore
35 - 2022-05-16	91	Americans	1	Penguins	2	BW		BoxScore
37 - 2022-05-18	93	Penguins	3	Americans	2	AW		BoxScore
39 - 2022-05-20	95	Americans	7	Penguins	3	BL		BoxScore
41 - 2022-05-22	97	Penguins	4	Americans	6	AL		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	48	28
Attendance	12,398	6,381
Attendance PCT	68.88%	70.90%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
32	2087 - 69.55%	107,468$	967,215$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,413,870$	2,168,870$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

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

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
1	Gabriel Vilardi	73	40	49	89	14	2	31	212	303	13.20%	17	1212	16.61	13	13	26	75	0	0	0	2	14	2	57.94%	2	1.47	0	1
2	Joel Kellman	73	28	46	74	8	10	63	233	279	10.04%	19	1278	17.51	9	9	18	68	1	1	2	3	3	3	58.15%	1	1.16	1	1
3	Radim Zohorna	80	30	40	70	26	18	67	95	229	13.10%	19	1240	15.51	4	9	13	50	0	0	0	0	2	4	54.71%	0	1.13	0	1
4	Jamie Drysdale	71	20	48	68	-4	12	35	95	146	13.70%	78	1484	20.91	3	12	15	68	0	0	0	2	2	2	0.00%	0	0.92	0	0
5	Jakub Zboril	79	12	51	63	10	90	259	107	137	8.76%	105	1799	22.77	7	16	23	76	0	1	1	3	1	0	0.00%	0	0.70	0	0

Penguins Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Christopher Gibson	64	33	24	5	0.899	3.60	3652	4	1	219	2164	1	1	0.800	5
2	Vasily Demchenko	13	6	4	0	0.905	3.22	633	2	0	34	358	1	1	0.000	0
3	Olivier Rodrigue	10	4	2	1	0.921	2.76	478	0	0	22	278	2	0	0.000	0

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
Regular Season
23	82	32	32	0	10	7	1	0	310	294	16	41	17	15	0	3	6	0	0	152	145	7	41	15	17	0	7	1	1	0	158	149	9	93	310	561	871	2	1	113	99	87	12	3083	1052	1009	985	42	2944	816	665	1947	260	60	23.08%	289	61	78.89%	4	1754	3163	55.45%	1657	2992	55.38%	749	1371	54.63%	2007	1399	1914	582	1036	525
Total Regular Season	82	32	32	0	10	7	1	0	310	294	16	41	17	15	0	3	6	0	0	152	145	7	41	15	17	0	7	1	1	0	158	149	9	93	310	561	871	2	1	113	99	87	12	3083	1052	1009	985	42	2944	816	665	1947	260	60	23.08%	289	61	78.89%	4	1754	3163	55.45%	1657	2992	55.38%	749	1371	54.63%	2007	1399	1914	582	1036	525
23	20	11	9	0	0	0	0	0	63	64	-1	9	5	4	0	0	0	0	0	28	27	1	11	6	5	0	0	0	0	0	35	37	-2	22	63	111	174	1	0	21	21	20	1	699	224	219	227	29	669	181	126	428	60	10	16.67%	62	12	80.65%	1	380	701	54.21%	392	762	51.44%	173	322	53.73%	474	328	502	151	260	129
Total Playoff	20	11	9	0	0	0	0	0	63	64	-1	9	5	4	0	0	0	0	0	28	27	1	11	6	5	0	0	0	0	0	35	37	-2	22	63	111	174	1	0	21	21	20	1	699	224	219	227	29	669	181	126	428	60	10	16.67%	62	12	80.65%	1	380	701	54.21%	392	762	51.44%	173	322	53.73%	474	328	502	151	260	129

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	PKA	PKP	PKS	GW	FO%	HT	P/20
1	Gabriel Vilardi	20	10	14	24	10	2	5	53	87	11.49%	4	347	17.39	1	2	3	13	0	0	0	1	55.43%	1	1.38
2	Byron Froese	20	8	11	19	4	2	10	73	75	10.67%	3	380	19.03	1	2	3	12	0	0	0	0	56.25%	0	1.00
3	Tim Gettinger	20	6	9	15	0	10	48	25	42	14.29%	1	329	16.49	1	3	4	7	0	0	0	0	50.00%	0	0.91
4	Buddy Robinson	20	6	9	15	11	10	56	33	58	10.34%	6	372	18.64	0	0	0	8	1	1	2	2	53.85%	0	0.80
5	Jamie Drysdale	20	3	11	14	-1	2	5	30	33	9.09%	22	425	21.26	2	2	4	20	0	0	0	0	0.00%	0	0.66

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
1	Christopher Gibson	20	11	6	2	0.907	2.94	1142	0	0	56	601	0	0	1	0.000	0
2	Olivier Rodrigue	2	0	1	0	0.896	4.52	93	0	0	7	67	0	0	0	0.000	0

	Penguins
	GP: 20 \| W: 11 \| L: 9 GF: 63 \| GA: 64 \| PP%: 16.67% \| PK%: 80.65% GM : Frank-Olivier Allard-Bouchard \| Morale : 75 \| Team Overall : 62