Penguins


	Penguins 0-4-0, 0pts	2	FINAL	3	Islanders 4-2-0, 8pts

Team Stats
L1		L2
0-2-0		2-0-0
0-2-0		2-2-0
0-1-3		4-2-0
2.25		4.17
3.50		3.83
0.00%		33.33%
100.00%		100.00%

Penguins
0-4-0, 0pts

FINAL

Islanders
4-2-0, 8pts

Team Stats
L1		L2
0-2-0		2-0-0
0-2-0		2-2-0
0-1-3		4-2-0
2.25		4.17
3.50		3.83
0.00%		33.33%
100.00%		100.00%


	Mathias Laferriere 2			Cole Koepke 3

	Glenn Gawdin 3			Mathias Laferriere 2

	Sam Montembeault 0			Sam Montembeault 0.897


9 2.25 GFG	127 31.75 Avg	0.0% 0 GF	31.4%
14 3.50 GAA	136 34.00 Avg	100.0%% 0 GA	41.1%



		Metropolitan Division
		Eastern Conference




		5,000
		5,000
		5,000

		23
		20
		43 / 55
		34

Priority		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

#		#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Glenn Gawdin	0	X				100.00	47	59	81	73	76	67	77	78	65	61	68	40	73	25	40	0	50	71	0	27	1	950,000$
2	Brandon Biro (R)	0	X				100.00	45	55	83	74	76	58	66	79	36	62	68	40	73	25	40	0	50	71	0	26	2	878,750$
3	Anders Bjork	0		X			100.00	45	50	84	73	76	58	54	78	36	60	67	40	72	25	40	0	50	70	0	27	1	1,520,000$
4	Matt Luff	0			X		100.00	46	43	82	73	77	58	45	78	36	59	68	40	73	25	40	0	50	70	0	27	1	750,000$
5	Tyler Angle (R)	0	X				100.00	45	63	83	71	75	78	90	76	65	57	67	40	71	25	40	0	50	70	0	23	1	925,000$
6	Cole Koepke (R)	0		X			100.00	45	57	84	73	76	62	72	78	36	59	68	40	73	25	40	0	50	70	0	26	2	750,000$
7	Mathias Laferriere (R)	0			X		100.00	45	55	83	72	76	59	68	77	36	59	67	40	72	25	40	0	50	69	0	24	3	750,000$
8	Tanner Kaspick	0	X	X	X		100.00	47	52	81	71	75	58	58	76	65	57	67	40	71	25	40	0	50	69	0	26	1	750,000$
9	Wilmer Skoog	0	X	X	X		100.00	45	55	84	73	76	58	66	78	65	57	68	40	73	25	40	0	50	69	0	24	1	750,000$
10	Grant Cruikshank	0	X				100.00	45	40	84	71	76	58	45	76	65	57	66	40	71	25	40	0	50	68	0	25	1	750,000$
11	Ilya Nikolaev	0	X				100.00	45	45	84	71	76	58	45	76	65	56	67	40	71	25	40	0	50	68	0	23	1	750,000$
12	Lucas Carlsson	0				X	100.00	46	61	81	73	76	72	83	78	36	60	67	54	73	25	40	0	50	75	0	26	2	760,000$
13	Dylan Coghlan	0				X	100.00	46	61	82	73	76	72	83	78	36	60	67	44	73	25	40	0	50	73	0	26	2	962,000$
14	Blake Hillman	0				X	100.00	45	45	84	72	76	58	45	76	36	59	66	45	71	25	40	0	50	71	0	28	1	750,000$
15	Brenden Miller	0				X	100.00	50	50	76	71	75	58	53	76	36	57	66	46	71	25	40	0	50	71	0	30	1	750,000$
16	William Riedell	0				X	100.00	46	46	82	71	76	58	45	76	36	56	66	42	71	25	40	0	50	70	0	27	1	750,000$
17	Zachary Massicotte	0				X	100.00	45	40	83	70	75	58	45	75	36	56	66	42	71	25	40	0	50	70	0	23	1	750,000$
18	Layton Ahac (R)	0				X	100.00	46	47	82	71	75	58	46	75	36	57	66	40	71	25	40	0	50	70	0	23	1	925,000$

1	Cam Morrison (R)	0		X			100.00	45	48	83	71	76	58	47	76	36	57	67	40	72	25	40	0	50	68	0	25	1	750,000$
2	Danil Zhilkin	0	X				100.00	46	52	83	71	75	58	60	76	65	56	66	40	71	25	40	0	50	68	0	20	1	750,000$
3	Ethan de Jong	0			X		100.00	44	37	85	71	76	58	45	76	36	57	66	40	71	25	40	0	50	68	0	24	1	750,000$

							100.00	46	51	83	72	76	61	59	77	46	58	67	42	72	25	40	0	50	70

Priority		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

#		#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Sam Montembeault	0	100.00	74	63	82	80	80	72	82	77	78	93	77	33	81	0	50	88	0	27	1	950,000$
2	Jacob Ingham (R)	0	100.00	61	55	53	61	56	53	60	54	56	75	57	25	55	0	50	65	0	24	1	775,000$


			100.00	68	59	68	71	68	63	71	66	67	84	67	29	68	0	50	77

	PH	DF	OF	PD	EX	LD	PO	CNT

Priority		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

#		GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PKG	PKA	GT	GA	TA	EG	HT	PSS	S1	S2
1	Glenn Gawdin	Penguins (PIT)	C	4	1	2	3	-2	0	0	9	4	14	6	7	7.14%	0	96	24.01	0	1	1	36.84%	57	8	3	0.62	0	0	1	0
2	Mathias Laferriere	Penguins (PIT)	RW	4	2	1	3	2	0	0	7	5	11	3	6	18.18%	1	82	20.58	1	1	0	50.00%	2	2	2	0.73	0	0	1	0
3	Tyler Angle	Penguins (PIT)	C	4	1	2	3	-2	7	5	6	5	11	5	7	9.09%	3	92	23.25	0	0	0	45.07%	71	3	1	0.65	1	0	0	0
4	Cole Koepke	Penguins (PIT)	LW	4	0	3	3	2	0	0	5	1	5	2	10	0%	1	82	20.73	0	1	0	66.67%	3	1	3	0.72	0	0	0	0
5	Dylan Coghlan	Penguins (PIT)	D	4	0	2	2	-3	5	5	1	9	8	3	3	0%	8	109	27.34	0	1	1	0%	0	2	6	0.37	0	1	0	0
6	Lucas Carlsson	Penguins (PIT)	D	4	0	2	2	-3	0	0	3	9	6	5	5	0%	9	110	27.70	0	0	0	0%	0	6	3	0.36	0	0	0	0
7	Tanner Kaspick	Penguins (PIT)	C/LW/RW	4	1	1	2	0	0	0	5	5	8	3	2	12.50%	1	78	19.68	0	0	0	25.00%	4	4	2	0.51	0	0	0	1
8	Wilmer Skoog	Penguins (PIT)	C/LW/RW	4	1	1	2	0	0	0	6	1	11	3	7	9.09%	1	78	19.68	0	0	0	100.00%	2	11	1	0.51	0	0	0	0
9	Grant Cruikshank	Penguins (PIT)	C	4	1	0	1	1	0	0	5	2	4	1	1	25.00%	0	15	3.80	0	0	0	40.00%	5	0	0	1.32	0	0	0	0
10	Blake Hillman	Penguins (PIT)	D	4	1	0	1	-1	0	0	1	4	6	0	4	16.67%	3	74	18.59	0	0	0	0%	0	1	1	0.27	0	0	0	0
11	William Riedell	Penguins (PIT)	D	4	0	1	1	-1	0	0	6	6	5	1	2	0%	4	82	20.69	0	0	0	0%	0	1	6	0.24	0	0	0	0
12	Brandon Biro	Penguins (PIT)	C	4	1	0	1	-6	0	0	3	8	12	7	15	8.33%	1	95	23.99	1	0	0	39.62%	53	6	1	0.21	0	0	0	0
13	Anders Bjork	Penguins (PIT)	LW	4	0	0	0	-5	0	0	6	3	10	2	5	0%	5	84	21.21	0	0	0	33.33%	3	7	1	0	0	0	0	0
14	Ilya Nikolaev	Penguins (PIT)	C	4	0	0	0	0	0	0	0	0	0	0	0	0%	0	1	0.38	0	0	0	100.00%	1	0	0	0	0	0	0	0
15	Matt Luff	Penguins (PIT)	RW	4	0	0	0	-5	0	0	4	3	11	2	9	0%	1	84	21.21	0	0	0	33.33%	6	7	0	0	0	0	0	0
16	Zachary Massicotte	Penguins (PIT)	D	4	0	0	0	-1	0	0	2	6	4	2	1	0%	7	80	20.00	0	0	0	0%	0	0	2	0	0	0	0	0
17	Layton Ahac	Penguins (PIT)	D	4	0	0	0	-1	0	0	3	7	1	0	2	0%	6	76	19.14	0	1	1	0%	0	2	0	0	0	0	0	0
				68	9	15	24	-25	12	10	72	78	127	45	86	7.09%	51	1327	19.53	2	9	7	41.55%	207	61	32	0.36	1	1	2	1

Priority		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

#		GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Sam Montembeault	Penguins (PIT)	4	0	1	3	0.897	3.17	265	0	0	14	136	79	0	0	0	0	4	0	0	0	0
			4	0	1	3	0.897	3.17	265	0	0	14	136	79	0	0		0	4	0	0	0	0

Priority		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	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	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
Anders Bjork (1 Way Contract)	Penguins (PIT)	LW	27	1996-08-05	USA	No	190 Lbs	6 ft0	No	No	Free Agent	No	No	1	2024-09-25	False	False	Pro & Farm	1,520,000$	542,857$	141,071$	395,000$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Blake Hillman	Penguins (PIT)	D	28	1996-01-26	USA	No	193 Lbs	6 ft1	No	No	Free Agent	No	No	1	2025-02-27	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Brandon Biro	Penguins (PIT)	C	26	1998-03-11	CAN	Yes	170 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	878,750$	313,839$	0$	0$	No	878,750$	Unrestricted		-	-	-	-	878,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Brenden Miller	Penguins (PIT)	D	30	1994-03-29	CAN	No	198 Lbs	6 ft1	No	No	Free Agent	No	No	1	2025-02-27	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cam Morrison	Penguins (PIT)	LW	25	1998-08-27	CAN	Yes	209 Lbs	6 ft3	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cole Koepke	Penguins (PIT)	LW	26	1998-05-17	USA	Yes	196 Lbs	6 ft1	No	No	Free Agent	No	No	2	2024-09-25	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	750,000$	Restricted		-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Danil Zhilkin	Penguins (PIT)	C	20	2003-12-19	RUS	No	196 Lbs	6 ft1	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	831,667$	831,667$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Dylan Coghlan	Penguins (PIT)	D	26	1998-02-19	CAN	No	208 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	962,000$	343,571$	0$	0$	No	962,000$	Unrestricted		-	-	-	-	962,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ethan de Jong	Penguins (PIT)	RW	24	1999-07-12	CAN	No	181 Lbs	5 ft11	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Glenn Gawdin	Penguins (PIT)	C	27	1997-03-25	CAN	No	191 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	950,000$	339,286$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Grant Cruikshank	Penguins (PIT)	C	25	1998-07-19	USA	No	187 Lbs	5 ft11	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ilya Nikolaev	Penguins (PIT)	C	23	2001-06-26	RUS	No	190 Lbs	6 ft0	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	836,667$	836,667$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jacob Ingham	Penguins (PIT)	G	24	2000-06-10	CAN	Yes	205 Lbs	6 ft5	No	No	Prospect	No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	276,786$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Layton Ahac	Penguins (PIT)	D	23	2001-02-22	CAN	Yes	201 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Farm Only	925,000$	330,357$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Lucas Carlsson	Penguins (PIT)	D	26	1997-07-05	SWE	No	189 Lbs	6 ft0	No	No	Free Agent	No	No	2	2024-09-25	False	False	Pro & Farm	760,000$	271,429$	0$	0$	No	760,000$	Unrestricted		-	-	-	-	760,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Mathias Laferriere	Penguins (PIT)	RW	24	2000-06-27	CAN	Yes	185 Lbs	6 ft1	No	No	Free Agent	No	No	3	2024-09-25	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	750,000$	750,000$	Restricted	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Matt Luff	Penguins (PIT)	RW	27	1997-05-05	CAN	No	196 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-09-25	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Sam Montembeault	Penguins (PIT)	G	27	1996-10-30	CAN	No	214 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	950,000$	339,286$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tanner Kaspick	Penguins (PIT)	C/LW/RW	26	1998-01-28	CAN	No	207 Lbs	6 ft1	No	No	Free Agent	No	No	1	2025-02-27	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tyler Angle	Penguins (PIT)	C	23	2000-09-30	CAN	Yes	166 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Farm Only	925,000$	330,357$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
William Riedell	Penguins (PIT)	D	27	1996-10-09	USA	No	198 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Wilmer Skoog	Penguins (PIT)	C/LW/RW	24	1999-07-17	SWE	No	197 Lbs	6 ft2	No	No	Free Agent	No	No	1	2025-02-27	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Zachary Massicotte	Penguins (PIT)	D	23	2001-03-15	CAN	No	220 Lbs	6 ft4	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link


23	25.26	195 Lbs	6 ft1	1.26	832,424$



1	Anders Bjork	Brandon Biro	Matt Luff	30	1	2	2
2	Cole Koepke	Glenn Gawdin	Mathias Laferriere	30	1	2	2
3	Tanner Kaspick	Tyler Angle	Wilmer Skoog	20	1	2	2
4	Brandon Biro	Tyler Angle	Glenn Gawdin	20	1	2	2



1	Blake Hillman	Lucas Carlsson	30	1	2	2
2	Dylan Coghlan	Layton Ahac	30	1	2	2
3	William Riedell	Zachary Massicotte	20	1	2	2
4	Dylan Coghlan	Lucas Carlsson	20	1	2	2



1	Anders Bjork	Brandon Biro	Matt Luff	50	1	2	2
2	Cole Koepke	Glenn Gawdin	Mathias Laferriere	50	1	2	2



1	William Riedell	Lucas Carlsson	50	1	2	2
2	Dylan Coghlan	Layton Ahac	50	1	2	2



1	Brandon Biro	Glenn Gawdin	50	1	2	2
2	Matt Luff	Anders Bjork	50	1	2	2



1	Zachary Massicotte	Lucas Carlsson	50	1	2	2
2	Dylan Coghlan	Layton Ahac	50	1	2	2



1	Brandon Biro	50	1	2	2	Zachary Massicotte	Lucas Carlsson	50	1	2	2
2	Glenn Gawdin	50	1	2	2	Dylan Coghlan	Layton Ahac	50	1	2	2



1	Brandon Biro	Glenn Gawdin	50	1	2	2
2	Matt Luff	Anders Bjork	50	1	2	2



1	William Riedell	Lucas Carlsson	50	1	2	2
2	Dylan Coghlan	Layton Ahac	50	1	2	2



Anders Bjork	Brandon Biro	Matt Luff	Dylan Coghlan	Lucas Carlsson



Anders Bjork	Brandon Biro	Matt Luff	Dylan Coghlan	Lucas Carlsson



Brandon Biro, Glenn Gawdin, Tyler Angle	Brandon Biro, Matt Luff	Tyler Angle



William Riedell, Zachary Massicotte, Dylan Coghlan	William Riedell	Zachary Massicotte, Dylan Coghlan


Brandon Biro, Glenn Gawdin, Matt Luff, Anders Bjork, Tyler Angle


#1 : Sam Montembeault, #2 : Jacob Ingham


Brandon Biro, Glenn Gawdin, Matt Luff, Anders Bjork, Tyler Angle, Cole Koepke, Cole Koepke, Mathias Laferriere, Wilmer Skoog, Tanner Kaspick, Ilya Nikolaev


Blake Hillman, Lucas Carlsson, Dylan Coghlan, Layton Ahac, William Riedell

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
1	Islanders	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	3	6	-3	0	0.000	9	15	24	0	0	2	2	5	0	127	32	48	36	11	136	51	12	72	1	0	0.00%	1	0	100.00%	0	21	65	32.31%	41	85	48.24%	24	57	42.11%	87	52	103	35	74	35
	Total	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	3	6	-3	0	0.000	9	15	24	0	0	2	2	5	0	127	32	48	36	11	136	51	12	72	1	0	0.00%	1	0	100.00%	0	21	65	32.31%	41	85	48.24%	24	57	42.11%	87	52	103	35	74	35
	_Since Last GM Reset	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	3	6	-3	0	0.000	9	15	24	0	0	2	2	5	0	127	32	48	36	11	136	51	12	72	1	0	0.00%	1	0	100.00%	0	21	65	32.31%	41	85	48.24%	24	57	42.11%	87	52	103	35	74	35
	_Vs Conference	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	3	6	-3	0	0.000	9	15	24	0	0	2	2	5	0	127	32	48	36	11	136	51	12	72	1	0	0.00%	1	0	100.00%	0	21	65	32.31%	41	85	48.24%	24	57	42.11%	87	52	103	35	74	35
	_Vs Division	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	3	6	-3	0	0.000	9	15	24	0	0	2	2	5	0	127	32	48	36	11	136	51	12	72	1	0	0.00%	1	0	100.00%	0	21	65	32.31%	41	85	48.24%	24	57	42.11%	87	52	103	35	74	35

			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	L1	9	15	24	127	136	51	12	72	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	9	14

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	6	8

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

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	1	0	3	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
1	0	0.00%	1	0	100.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
32	48	36	11	2	2	5	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
21	65	32.31%	41	85	48.24%	24	57	42.11%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
87	52	103	35	74	35

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	Score	Home	Score	ST	OT	Link
1 - 2025-04-21	4	Islanders	4	Penguins	3	L	X	BoxScore
3 - 2025-04-23	12	Islanders	4	Penguins	3	L	X	BoxScore
5 - 2025-04-25	20	Penguins	2	Islanders	3	L	X	BoxScore
7 - 2025-04-27	28	Penguins	1	Islanders	3	L		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	1500
Ticket Price	50	25
Attendance	7,000	3,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
39	5000 - 100.00%	108,375$	216,750$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	17,625,750$	17,625,750$	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$	10	0$	0$

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 GF: 9 \| GA: 14 \| PP%: 0.00% \| PK%: 100.00% \| 50 \| 71