Penguins
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Penguins 0-4-0, 0pts	3	Box score	6	Americans 3-1-0, 6pts

Team Stats
L4	Streak	W3
0-2-0	Home Record	2-0-0
0-2-0	Home Record	1-1-0
0-4-0	Last 10 Games	3-1-0
2.50	Goals Per Game	4.75
5.25	Goals Against Per Game	3.00
16.67%	Power Play Percentage	54.55%
60.00%	Penalty Kill Percentage	81.82%

Wolfpack
4-1-0, 8pts

Box score

Penguins
0-4-0, 0pts

Team Stats
W3	Streak	L4
2-0-0	Home Record	0-2-0
2-1-0	Home Record	0-2-0
4-1-0	Last 10 Games	0-4-0
3.80	Goals Per Game	2.50
2.60	Goals Against Per Game	5.25
2.94%	Power Play Percentage	16.67%
76.19%	Penalty Kill Percentage	60.00%

Penguins
0-4-0, 0pts

Day 10

Devils
1-2-0, 2pts

Team Stats
L4	Streak	L2
0-2-0	Home Record	1-1-0
0-2-0	Away Record	0-1-0
0-4-0	Last 10 Games	1-2-0
2.50	Goals Per Game	2.67
5.25	Goals Against Per Game	2.67
16.67%	Power Play Percentage	11.11%
60.00%	Penalty Kill Percentage	75.00%

Aces
2-2-1, 5pts

Day 12

Penguins
0-4-0, 0pts

Team Stats
SOL1	Streak	L4
0-1-1	Home Record	0-2-0
2-1-0	Away Record	0-2-0
2-2-1	Last 10 Games	0-4-0
3.80	Goals Per Game	2.50
4.20	Goals Against Per Game	2.50
11.76%	Power Play Percentage	16.67%
71.43%	Penalty Kill Percentage	60.00%

Penguins
0-4-0, 0pts

Day 13

Phantoms
1-3-0, 2pts

Team Stats
L4	Streak	L3
0-2-0	Home Record	1-1-0
0-2-0	Away Record	0-2-0
0-4-0	Last 10 Games	1-3-0
2.50	Goals Per Game	3.25
5.25	Goals Against Per Game	3.25
16.67%	Power Play Percentage	23.08%
60.00%	Penalty Kill Percentage	87.50%

Team Leaders
Goals Michael Callahan 3		Assists John Hayden 4

	Points John Hayden 4	Plus/Minus Alec Regula 1

	Wins Cal Petersen 0	Save Percentage Cal Petersen 0.849

Team Stats
Goals For 10 2.50 GFG	Shots For 107 26.75 Avg	Power Play Percentage 16.7% 3 GF	Offensive Zone Start 38.2%
Goals Against 21 5.25 GAA	Shots Against 142 35.50 Avg	Penalty Kill Percentage 60.0%% 8 GA	Defensive Zone Start 38.5%

Team Info
	General Manager	Casey Spence
	Coach	Dave Lowry
	Division	Atlantic
	Conference	Canadian
	Captain	Alec Regula
	Assistant #1	Akil Thomas
	Assistant #2	Dylan Coghlan
Arena Info
	Capacity	3,000
	Attendance	2,057
	Season Tickets	0
Roster Info
	Pro Team	22
	Farm Team	18
	Contract Limit	40 / 250
	Prospects	69

Show or Hide Columns

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	Jonah Gadjovich		X			100.00	83	80	79	60	79	59	68	58	54	66	59	70	56	61	58	0	50	64	0	27	1	1,000,000$
2	John Hayden	X	X	X		100.00	60	64	67	63	81	67	67	60	57	59	60	65	55	73	64	0	50	63	0	31	2	1,250,000$
3	Joona Koppanen		X			100.00	59	54	75	60	79	66	63	59	69	61	59	68	56	66	60	0	50	63	0	28	3	950,000$
4	Cole Guttman	X				100.00	55	62	67	64	58	69	67	65	60	64	63	64	59	65	59	0	50	63	0	27	1	1,500,000$
5	Tristan Broz	X				100.00	56	58	68	61	70	66	64	63	70	62	62	65	55	59	56	0	50	63	0	23	2	1,000,000$
6	Alex Bump		X			100.00	59	54	75	60	70	62	59	61	55	61	63	65	57	57	55	0	50	62	0	22	2	850,000$
7	David Tomasek			X		100.00	62	38	74	57	73	60	56	57	55	59	63	69	54	55	54	0	50	62	0	30	3	1,000,000$
8	Akil Thomas (A)	X				100.00	60	62	76	60	69	59	60	57	57	59	58	64	56	62	58	0	50	60	0	26	2	1,500,000$
9	Oscar Eklind	X				100.00	55	55	68	57	79	66	64	58	55	57	57	64	54	66	59	0	50	60	0	28	1	850,000$
10	Jakub Rychlovsky		X			100.00	54	56	69	58	62	67	65	59	55	59	57	66	54	60	56	0	50	60	0	25	1	950,000$
11	Justin Nachbaur			X		100.00	61	55	64	55	74	59	59	54	55	54	55	60	54	64	58	0	50	58	0	26	1	850,000$
12	Dylan Coghlan (A)				X	100.00	56	58	70	65	75	68	65	63	41	63	60	66	55	68	61	0	50	64	0	28	1	950,000$
13	Michael Callahan				X	100.00	57	56	72	62	73	67	64	58	41	59	56	70	55	64	59	0	50	62	0	27	2	1,200,000$
14	Victor Mancini				X	100.00	60	58	80	62	84	65	62	58	41	59	57	67	56	59	57	0	50	62	0	24	1	750,000$
15	Alec Regula (C)				X	100.00	59	62	66	58	72	63	59	57	45	56	56	70	56	59	57	0	50	61	0	26	3	1,400,000$
16	Braden Hache				X	100.00	57	55	62	58	76	67	66	56	40	56	55	65	54	58	55	0	50	60	0	23	1	1,500,000$
17	Alex Kannok Leipert				X	100.00	56	54	65	57	69	68	66	57	40	58	55	65	54	62	57	0	50	60	0	26	1	850,000$
Scratches
1	Joe Fleming			X		100.00	58	55	60	56	74	65	65	56	51	56	55	63	54	57	54	0	50	59	0	23	2	850,000$
2	Nolan Renwick			X		100.00	55	55	69	55	75	61	60	55	55	55	55	61	54	62	57	0	50	58	0	25	1	850,000$
3	Charlie Wright				X	100.00	54	54	70	56	66	62	61	55	40	55	54	62	54	57	54	0	50	58	0	22	2	850,000$

	TEAM AVERAGE					100.00	59	57	70	59	73	64	63	58	52	59	58	65	55	62	57	0	50	61

Show or Hide Columns

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	Cal Petersen	100.00	66	71	71	61	71	68	72	69	68	67	66	74	63	0	50	69	0	31	1	1,000,000$
2	Parker Gahagen	100.00	61	62	62	62	67	59	72	62	69	65	70	77	65	0	50	65	0	33	1	950,000$
Scratches

	TEAM AVERAGE	100.00	64	67	67	62	69	64	72	66	69	66	68	76	64	0	50	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dave Lowry	76	73	69	74	66	61	1	CAN	61	3	250,000$

Show or Hide Columns

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	FO%	FOT	P/20	S1
1	John Hayden	Penguins (Pit)	C/LW/RW	4	0	4	4	-3	0	5	0	6	1	7	0%	0	82	20.56	0	2	2	2	17	0	0	0	0	9	33.33%	3	0.97	0
2	Joona Koppanen	Penguins (Pit)	LW	4	1	2	3	-2	0	5	7	13	3	10	7.69%	1	68	17.20	0	1	1	5	17	0	0	0	0	0	50.00%	6	0.87	0
3	Cole Guttman	Penguins (Pit)	C	4	1	2	3	-3	2	1	15	9	3	8	11.11%	0	82	20.72	0	2	2	4	17	1	0	1	1	14	54.62%	130	0.72	0
4	Michael Callahan	Penguins (Pit)	D	4	3	0	3	0	0	6	4	9	0	5	33.33%	4	87	21.94	2	0	2	7	15	0	0	0	0	16	0%	0	0.68	0
5	Jakub Rychlovsky	Penguins (Pit)	LW	4	3	0	3	-1	2	6	3	9	4	10	33.33%	0	57	14.27	0	0	0	0	0	0	0	0	0	0	25.00%	4	1.05	1
6	Justin Nachbaur	Penguins (Pit)	RW	4	0	3	3	-1	2	10	1	5	1	4	0%	0	58	14.66	0	0	0	0	1	0	0	0	0	0	25.00%	4	1.02	0
7	Alec Regula	Penguins (Pit)	D	4	1	1	2	1	4	7	1	2	0	1	50.00%	2	83	20.88	1	0	1	1	13	0	1	1	0	13	0%	0	0.48	0
8	Dylan Coghlan	Penguins (Pit)	D	4	0	2	2	1	6	12	7	3	1	6	0%	3	91	22.88	0	1	1	0	15	0	0	0	0	12	0%	0	0.44	0
9	Braden Hache	Penguins (Pit)	D	4	0	2	2	-7	2	11	5	3	2	3	0%	2	65	16.48	0	0	0	1	2	0	0	0	0	6	0%	0	0.61	0
10	Tristan Broz	Penguins (Pit)	C	4	0	1	1	-1	2	2	12	14	2	7	0%	1	57	14.27	0	0	0	0	0	0	0	0	0	0	50.77%	65	0.35	0
11	Alex Kannok Leipert	Penguins (Pit)	D	4	1	0	1	-7	2	5	2	3	0	1	33.33%	3	60	15.08	0	0	0	0	0	0	0	0	0	1	0%	0	0.33	0
12	Jonah Gadjovich	Penguins (Pit)	LW	4	0	0	0	-4	6	8	11	8	2	8	0%	2	68	17.14	0	0	0	0	12	0	0	0	0	4	66.67%	3	0	0
13	Akil Thomas	Penguins (Pit)	C	4	0	0	0	-2	2	5	6	6	1	2	0%	0	70	17.57	0	0	0	2	11	0	0	0	0	7	48.31%	89	0	0
14	Oscar Eklind	Penguins (Pit)	C	4	0	0	0	0	0	2	10	1	0	3	0%	0	31	7.89	0	0	0	0	2	0	0	0	0	10	48.57%	35	0	0
15	Victor Mancini	Penguins (Pit)	D	4	0	0	0	0	4	12	6	5	1	1	0%	4	90	22.59	0	0	0	3	15	0	0	0	0	10	0%	0	0	0
16	Alex Bump	Penguins (Pit)	LW	4	0	0	0	1	4	3	2	4	0	3	0%	2	34	8.52	0	0	0	0	0	0	0	0	0	15	66.67%	3	0	0
17	David Tomasek	Penguins (Pit)	RW	4	0	0	0	-3	2	8	8	7	3	7	0%	0	77	19.32	0	0	0	0	12	0	0	0	0	0	0%	6	0	0
Team Total or Average				68	10	17	27	-31	40	108	100	107	24	86	9.35%	24	1167	17.17	3	6	9	25	154	1	1	2	1	123	50.00%	348	0.46	1

Show or Hide Columns

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	L	PCT	GAA	MP	GA	SA	PS %	ST	BG
1	Cal Petersen	Penguins (Pit)	4	4	0.849	5.46	209	19	126	0	4	0
2	Parker Gahagen	Penguins (Pit)	1	0	0.875	4.00	30	2	16	0	0	4
Team Total or Average			5	4	0.852	5.25	240	21	142		4	4

Show or Hide Columns

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Akil Thomas	Penguins (Pit)	C	26	2000-01-02	CAN	No	194 Lbs	6 ft0	No	No	Free Agent		No	No	2	2025-08-20	False	False	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Alec Regula	Penguins (Pit)	D	26	2000-08-06	USA	No	211 Lbs	6 ft3	No	No	Free Agent		No	No	3	2026-08-18	False	False	Pro & Farm	1,400,000$	0$	0$	No	1,400,000$	1,400,000$	-	-	-	-	-	-	-	1,400,000$	1,400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Alex Bump	Penguins (Pit)	LW	22	2003-11-20	USA	No	193 Lbs	6 ft0	No	No	Trade	2026-07-31	No	No	2	2026-07-23	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	950,000$	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Alex Kannok Leipert	Penguins (Pit)	D	26	2000-07-20	CAN	No	201 Lbs	6 ft0	No	No	Free Agent		No	No	1	2026-08-18	False	False	Pro & Farm	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Braden Hache	Penguins (Pit)	D	23	2003-05-21	CAN	No	205 Lbs	6 ft4	No	No	Trade	2026-07-23	No	No	1	2025-08-01	False	False	Pro & Farm	1,500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Cal Petersen	Penguins (Pit)	G	31	1994-10-19	USA	No	185 Lbs	6 ft2	No	No	Trade	2024-12-05	No	No	1	2024-08-26	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Charlie Wright	Penguins (Pit)	D	22	2003-10-22	CAN	No	179 Lbs	6 ft1	No	No	Free Agent		No	No	2	2026-08-04	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Cole Guttman	Penguins (Pit)	C	27	1999-04-06	USA	No	168 Lbs	5 ft9	No	No	Free Agent		No	No	1	2026-07-31	False	False	Pro & Farm	1,500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
David Tomasek	Penguins (Pit)	RW	30	1996-02-10	CZE	No	209 Lbs	6 ft2	No	No	Free Agent		No	No	3	2026-08-04	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Dylan Coghlan	Penguins (Pit)	D	28	1998-02-19	CAN	No	204 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	950,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jakub Rychlovsky	Penguins (Pit)	LW	25	2001-08-07	CZE	No	181 Lbs	5 ft10	No	No	Free Agent		No	No	1	2026-08-04	False	False	Pro & Farm	950,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Joe Fleming	Penguins (Pit)	RW	23	2003-06-19	USA	No	223 Lbs	6 ft1	No	No	Free Agent		No	No	2	2026-08-18	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
John Hayden	Penguins (Pit)	C/LW/RW	31	1995-02-14	USA	No	222 Lbs	6 ft3	No	No	Free Agent		No	No	2	2026-08-04	False	False	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jonah Gadjovich	Penguins (Pit)	LW	27	1998-10-12	CAN	No	211 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Joona Koppanen	Penguins (Pit)	LW	28	1998-02-25	FIN	No	215 Lbs	6 ft5	No	No	Free Agent		No	No	3	2026-08-04	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Justin Nachbaur	Penguins (Pit)	RW	26	2000-03-04	CAN	No	205 Lbs	6 ft3	No	No	Free Agent		No	No	1	2026-08-18	False	False	Pro & Farm	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Michael Callahan	Penguins (Pit)	D	27	1999-09-23	USA	No	193 Lbs	6 ft2	No	No	Free Agent		No	No	2	2026-08-18	False	False	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$	-	-	-	-	-	-	-	-	1,200,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Nolan Renwick	Penguins (Pit)	RW	25	2001-02-16	CAN	No	212 Lbs	6 ft3	No	No	Free Agent		No	No	1	2026-08-18	False	False	Pro & Farm	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Oscar Eklind	Penguins (Pit)	C	28	1998-07-14	SWE	No	227 Lbs	6 ft4	No	No	Free Agent		No	No	1	2026-07-31	False	False	Pro & Farm	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Parker Gahagen	Penguins (Pit)	G	33	1993-05-17	USA	No	194 Lbs	6 ft2	No	No	Free Agent		No	No	1	2025-08-01	False	False	Pro & Farm	950,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tristan Broz	Penguins (Pit)	C	23	2002-10-10	USA	No	204 Lbs	6 ft0	No	No	Free Agent		No	No	2	2026-09-13	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	930,833$	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Victor Mancini	Penguins (Pit)	D	24	2002-05-26	USA	No	228 Lbs	6 ft3	No	No	Free Agent		No	No	1	2025-08-02	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	26.41	203 Lbs	6 ft2	1.59	1,038,636$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jonah Gadjovich	Cole Guttman	David Tomasek	40	0	2	3
2	Joona Koppanen	Akil Thomas	John Hayden	30	1	2	2
3	Jakub Rychlovsky	Tristan Broz	Justin Nachbaur	20	1	2	2
4	Alex Bump	Oscar Eklind	David Tomasek	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dylan Coghlan	Victor Mancini	40	1	2	2
2	Michael Callahan	Alec Regula	30	1	2	2
3	Braden Hache	Alex Kannok Leipert	20	1	2	2
4	Dylan Coghlan	Victor Mancini	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Joona Koppanen	Cole Guttman	John Hayden	60	1	2	2
2	Jonah Gadjovich	Akil Thomas	David Tomasek	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mancini	Michael Callahan	60	1	2	2
2	Alec Regula	Dylan Coghlan	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Cole Guttman	Alex Bump	60	1	2	2
2	Akil Thomas	John Hayden	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Alec Regula	Dylan Coghlan	60	1	2	2
2	Michael Callahan	Victor Mancini	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Cole Guttman	60	1	2	2	Alec Regula	Dylan Coghlan	60	1	2	2
2	John Hayden	40	1	2	2	Michael Callahan	Victor Mancini	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Cole Guttman	David Tomasek	60	1	2	2
2	Akil Thomas	John Hayden	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Alec Regula	Dylan Coghlan	60	1	2	2
2	Michael Callahan	Victor Mancini	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jonah Gadjovich	Cole Guttman	John Hayden	Victor Mancini	Dylan Coghlan

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Bump	Cole Guttman	John Hayden	Alex Kannok Leipert	Dylan Coghlan

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jonah Gadjovich, John Hayden, Oscar Eklind	Jonah Gadjovich, John Hayden	Oscar Eklind

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Dylan Coghlan, Michael Callahan, Braden Hache	Victor Mancini	Dylan Coghlan, Michael Callahan

Penalty Shots
John Hayden, Cole Guttman, David Tomasek, Jonah Gadjovich, Akil Thomas

Goalie
#1 : Cal Petersen, #2 : Parker Gahagen

Custom OT Lines Forwards
, , , Cole Guttman, Akil Thomas, Jonah Gadjovich, John Hayden, , Oscar Eklind,

Custom OT Lines Defensemen
, Dylan Coghlan, Michael Callahan, Victor Mancini,

Show or Hide Columns

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	RI
1	Americans	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	3	5	8	0	0	3	3	4	0	31	33	35	39	0	26	7	8	24	4	1	25.00%	4	4	0.00%	0	63	133	47.37%	72	134	53.73%	39	81	48.15%	90	59	96	30	53	26
2	Senators	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	4	6	0	0	3	3	4	0	31	33	35	39	0	47	2	10	24	6	1	16.67%	5	1	80.00%	0	63	133	47.37%	72	134	53.73%	39	81	48.15%	90	59	96	30	53	26
3	Stars	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	4	7	0	0	3	3	4	0	20	33	35	39	0	26	8	10	29	3	0	0.00%	5	3	40.00%	1	63	133	47.37%	72	134	53.73%	39	81	48.15%	90	59	96	30	53	26
4	Wolfpack	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	3	3	4	0	25	33	35	39	0	43	7	12	31	5	1	20.00%	6	0	100.00%	0	63	133	47.37%	72	134	53.73%	39	81	48.15%	90	59	96	30	53	26
	Total	4	0	4	0	0	0	0	0	10	21	-11	2	0	2	0	0	0	0	0	5	9	-4	2	0	2	0	0	0	0	0	5	12	-7	0	0.000	10	17	27	0	0	3	3	4	0	107	33	35	39	0	142	24	40	108	18	3	16.67%	20	8	60.00%	1	63	133	47.37%	72	134	53.73%	39	81	48.15%	90	59	96	30	53	26
	_Since Last GM Reset	4	0	4	0	0	0	0	0	10	21	-11	2	0	2	0	0	0	0	0	5	9	-4	2	0	2	0	0	0	0	0	5	12	-7	0	0.000	10	17	27	0	0	3	3	4	0	107	33	35	39	0	142	24	40	108	18	3	16.67%	20	8	60.00%	1	63	133	47.37%	72	134	53.73%	39	81	48.15%	90	59	96	30	53	26
	_Vs Conference	4	0	4	0	0	0	0	0	10	21	-11	2	0	2	0	0	0	0	0	5	9	-4	2	0	2	0	0	0	0	0	5	12	-7	0	0.000	10	17	27	0	0	3	3	4	0	107	33	35	39	0	142	24	40	108	18	3	16.67%	20	8	60.00%	1	63	133	47.37%	72	134	53.73%	39	81	48.15%	90	59	96	30	53	26
	_Vs Division	2	0	1	0	0	0	0	0	5	12	-7	0	0	1	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	5	12	-7	0	0.000	5	9	14	0	0	3	3	4	0	62	33	35	39	0	73	9	18	48	10	2	20.00%	9	5	44.44%	0	63	133	47.37%	72	134	53.73%	39	81	48.15%	90	59	96	30	53	26

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	0	L4	10	17	27	107	142	24	40	108	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	10	21

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	9

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	12

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	4	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
18	3	16.67%	20	8	60.00%	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
33	35	39	0	3	3	4	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
63	133	47.37%	72	134	53.73%	39	81	48.15%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
90	59	96	30	53	26

Last Played Games Show or Hide Columns

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
2	7	Stars	5	Penguins	3	L	Box score
4	23	Penguins	2	Senators	6	L	Box score
6	40	Penguins	3	Americans	6	L	Box score
8	54	Wolfpack	4	Penguins	2	L	Box score
10	66	Penguins	-	Devils	-
12	81	Aces	-	Penguins	-
13	84	Penguins	-	Phantoms	-
16	107	Penguins	-	Bears	-
18	117	Penguins	-	Sound Tigers	-
19	127	Bears	-	Penguins	-
22	145	Penguins	-	Falcons	-
23	157	Rocket	-	Penguins	-
26	177	Penguins	-	Phantoms	-
28	189	Phantoms	-	Penguins	-
30	205	Penguins	-	Bruins	-
32	221	Devils	-	Penguins	-
34	238	Penguins	-	Swamp Rabbits	-
36	252	Barracuda	-	Penguins	-
38	263	Penguins	-	Thunderbirds	-
40	274	Penguins	-	Swamp Rabbits	-
42	287	Thunderbirds	-	Penguins	-
44	308	Penguins	-	Admirals	-
46	318	Sound Tigers	-	Penguins	-
48	337	Penguins	-	Wolfpack	-
50	350	Firebirds	-	Penguins	-
52	366	Penguins	-	Marlies	-
54	381	Penguins	-	Monsters	-
55	385	Bruins	-	Penguins	-
58	410	Penguins	-	Wheat Kings	-
59	417	Phantoms	-	Penguins	-
62	439	Penguins	-	Condors	-
63	447	Gulls	-	Penguins	-
66	469	Penguins	-	Aces	-
67	479	Rocket	-	Penguins	-
70	496	Penguins	-	Wolfpack	-
71	510	Heat	-	Penguins	-
74	527	Penguins	-	Bruins	-
76	542	Penguins	-	Stars	-
77	549	Aces	-	Penguins	-
80	574	Bears	-	Penguins	-
82	588	Penguins	-	Crunch	-
85	607	Stars	-	Penguins	-
87	625	Penguins	-	Condors	-
89	638	Penguins	-	Wild	-
90	642	Sound Tigers	-	Penguins	-
93	671	Firebirds	-	Penguins	-
95	681	Penguins	-	Devils	-
97	693	Penguins	-	Phantoms	-
98	704	Thunderbirds	-	Penguins	-
101	727	Penguins	-	Bears	-
102	736	Devils	-	Penguins	-
107	767	Senators	-	Penguins	-
111	797	Swamp Rabbits	-	Penguins	-
114	813	Penguins	-	Americans	-
116	831	Bruins	-	Penguins	-
119	851	Penguins	-	Sound Tigers	-
121	864	Rampage	-	Penguins	-
122	874	Penguins	-	Firebirds	-
125	895	Griffins	-	Penguins	-
129	917	Penguins	-	Falcons	-
130	927	Crunch	-	Penguins	-
134	955	Reign	-	Penguins	-
136	968	Penguins	-	Ice Hogs	-
138	986	Moose	-	Penguins	-
140	998	Penguins	-	Wolves	-
142	1014	Penguins	-	Rocket	-
143	1023	Monsters	-	Penguins	-
147	1049	Falcons	-	Penguins	-
149	1062	Penguins	-	Firebirds	-
151	1077	Penguins	-	Falcons	-
152	1086	Condors	-	Penguins	-
156	1115	Crunch	-	Penguins	-
160	1142	Penguins	-	Senators	-
161	1150	Wolfpack	-	Penguins	-
165	1173	Griffins	-	Penguins	-
170	1204	Americans	-	Penguins	-
171	1209	Penguins	-	Senators	-
180	1248	Falcons	-	Penguins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	200	100
Attendance	2,747	1,367
Attendance PCT	68.68%	68.35%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
37	2057 - 68.57%	480,270$	960,540$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
126,054$	2,285,000$	2,285,000$	250,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
12,624$	113,616$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
17,769,990$	172	14,006$	2,409,032$

Penguins Players Stat Leaders (Regular Season)

Show or Hide Columns

#	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 Columns

#	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 Columns

	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 Players Stat Leaders (Play-Off)

Show or Hide Columns

#	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 Columns

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

	Penguins
	GP: 4 \| W: 0 \| L: 4 \| OTL: 0 \| P: 0 GF: 10 \| GA: 21 \| PP%: 16.67% \| PK%: 60.00% GM : Casey Spence \| Morale : 50 \| Team Overall : 62 Next Games #66 vs Devils