Ligue Hockey General Manager Québec

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Joey Anderson	0	RW	100.00	66	33	95	60	80	78	76	58	59	62	58	70	58	70	69	0	42	72	27	900,000$/1yrs
Riley Tufte	24	LW	100.00	79	43	59	58	94	68	73	65	47	58	61	68	59	70	66	0	39	72	27	800,000$/1yrs
Nicolas Aube-Kubel	0	RW	100.00	83	39	82	55	80	75	78	58	59	60	59	60	59	73	71	0	41	71	29	1,100,000$/1yrs
Nick Cousins	0	C/LW/RW	100.00	77	39	70	55	74	76	83	59	60	60	61	58	60	78	75	0	40	71	32	1,300,000$/1yrs
Owen Sillinger	0	C	100.00	70	39	75	56	69	68	69	66	50	59	56	69	58	72	69	0	44	71	28	800,000$/1yrs
Jack Finley (R)	0	C	100.00	67	41	80	59	91	66	70	61	62	58	59	64	59	63	61	0	42	70	23	775,000$/3yrs
Adam Edstrom (R)	0	C	100.00	79	38	84	58	92	71	75	56	55	56	62	60	59	65	64	0	41	70	25	975,000$/2yrs
Jaxson Nelson	0	C	100.00	54	39	94	63	84	71	91	62	70	53	57	66	63	65	64	0	42	70	25	850,000$/2yrs
Samuel Laberge	0	LW	100.00	90	43	50	51	82	64	67	66	49	53	53	70	53	71	66	0	41	69	28	775,000$/1yrs
Oscar Eklind	0	C/LW	100.00	64	40	85	53	89	65	66	65	45	56	52	69	54	70	68	0	42	69	27	850,000$/1yrs
Isaac Ratcliffe	0	LW	100.00	77	42	64	51	84	63	66	64	49	51	53	68	52	68	64	0	38	68	26	775,000$/1yrs
Curtis Hall	0	C	100.00	61	39	90	52	85	63	66	63	61	53	53	67	53	66	65	0	41	68	25	825,000$/1yrs
Matt Rempe	0	C/RW	100.00	87	75	50	55	99	68	74	58	58	58	58	56	58	62	57	0	49	68	23	900,000$/3yrs
Gavin Bayreuther	0	D	100.00	69	38	84	58	77	82	73	61	30	65	56	67	59	76	74	0	41	75	31	775,000$/1yrs
Nick Cicek	0	D	100.00	77	49	68	61	81	79	67	56	30	66	50	54	53	65	61	0	41	72	25	825,000$/3yrs
Dennis Cholowski	0	D	100.00	54	33	91	58	83	77	71	50	30	62	59	55	55	70	69	0	41	70	27	825,000$/1yrs
Jacob Moverare	0	D	100.00	62	33	92	55	84	75	76	52	30	58	54	58	53	69	68	0	41	69	27	775,000$/1yrs
Kurtis MacDermid	56	LWD	100.00	77	64	52	55	94	64	76	51	65	52	54	56	53	77	72	0	39	67	31	1,150,000$/2yrs
Cameron Crotty	5	D	100.00	69	41	76	48	85	63	66	48	30	54	51	68	52	68	65	0	28	66	26	800,000$/1yrs
Scratches
Marcus Sylvegard	0	LW/RW	100.00	60	38	93	64	74	74	90	65	40	61	69	71	65	67	66	0	20	75	26	800,000$/2yrs
Oliver Okuliar	0	LW	100.00	90	42	50	57	71	67	68	63	44	57	58	66	58	66	61	0	20	70	25	850,000$/2yrs
Tyce Thompson	0	RW	100.00	81	42	57	53	76	64	67	64	39	55	53	68	54	68	64	0	20	69	26	800,000$/2yrs
Bogdan Trineyev (R)	0	RW	100.00	62	39	88	55	82	63	69	61	41	53	56	65	54	63	61	0	19	68	23	900,000$/2yrs
Kyle McDonald	0	RW	100.00	65	40	82	55	84	64	69	61	47	53	56	64	55	63	61	0	19	68	23	870,000$/1yrs
Ross Johnston	0	LW	100.00	84	64	50	55	93	69	82	52	59	55	53	60	53	77	72	0	19	67	31	1,100,000$/1yrs
Cameron Butler	0	RW	100.00	88	44	50	52	87	62	66	62	43	52	51	65	52	63	58	0	19	67	23	858,333$/1yrs
Jakob Pivonka	0	C	100.00	62	39	85	60	76	68	60	58	70	51	53	64	60	63	64	0	20	67	25	850,000$/2yrs
Cam Thiesing	0	C	100.00	85	43	50	61	72	66	85	58	62	52	53	60	61	59	54	0	19	67	24	870,000$/1yrs
Tyler Angle	0	LW	100.00	65	38	84	53	66	62	83	61	70	51	54	64	53	63	61	0	20	66	25	900,000$/1yrs
Serron Noel	18	RW	100.00	84	45	67	57	93	71	60	58	56	49	46	59	55	62	64	0	20	65	25	800,000$/1yrs
Ilya Nikolayev (R)	0	C	100.00	61	38	89	49	74	59	71	61	64	47	49	64	48	61	59	0	20	64	24	850,000$/2yrs
Markus Niemelainen	56	D	100.00	86	33	93	55	81	72	69	50	30	50	50	53	50	68	67	0	20	66	27	800,000$/1yrs
Mikulas Hovorka (R)	0	D	100.00	66	41	81	47	94	62	66	47	30	53	52	66	52	64	62	0	24	66	24	950,000$/1yrs

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	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Benjamin Kraws	0	100.00	75	94	70	82	66	73	75	75	73	72	74	64	73	0	36	79	25	775,000$/1yrs
Parker Gahagen	0	100.00	70	66	70	79	72	77	75	70	77	72	74	79	79	0	54	77	32	775,000$/1yrs
Scratches
Victor Ostman	0	100.00	69	73	66	81	60	72	69	69	72	72	70	63	71	0	26	74	25	870,000$/1yrs
Waltteri Ignatjew	0	100.00	69	62	68	81	64	74	71	69	74	72	71	69	68	0	25	74	26	850,000$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dominique Ducharme	79	74	73	78	73	68	77	CAN	52	4	1,000,000$

General Manager

Player Stats

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	AMG	PPG	PPA	PPP	PPM	PKP	PKM	GW	GT	FO%	FOT	TA	EG	HT	P/20	PSG	PSS
1	Riley Tufte	Penguins (PIT)	LW	29	7	16	23	-8	57	5	114	95	18	69	7.37%	2	18.97	0	4	4	64	0	57	1	0	52.24%	245	0	0	0	0.84	0	0
2	Owen Sillinger	Penguins (PIT)	C	26	6	15	21	1	24	0	58	95	23	58	6.32%	3	21.38	1	1	2	70	0	20	1	0	45.99%	237	0	0	0	0.76	0	0
3	Jack Finley	Penguins (PIT)	C	29	9	11	20	6	4	0	23	77	17	43	11.69%	4	14.50	0	0	0	0	0	0	0	0	52.19%	502	0	0	0	0.95	0	0
4	Gavin Bayreuther	Penguins (PIT)	D	30	4	14	18	-1	8	0	30	49	17	29	8.16%	56	24.84	2	1	3	81	0	110	0	1	0.00%	0	0	0	0	0.48	0	0
5	Samuel Laberge	Penguins (PIT)	LW	30	9	8	17	-2	56	0	106	109	27	73	8.26%	9	19.99	1	5	6	78	0	56	0	1	40.00%	60	0	0	0	0.57	0	0
6	Curtis Hall	Penguins (PIT)	C	30	12	5	17	-2	0	0	4	70	19	33	17.14%	3	13.98	0	0	0	2	0	10	2	2	53.53%	510	0	0	0	0.81	0	0
7	Adam Edstrom	Penguins (PIT)	C	30	5	10	15	-1	2	0	11	76	22	57	6.58%	11	20.90	2	3	5	79	0	76	1	0	51.36%	806	0	0	0	0.48	0	0
8	Jaxson Nelson	Penguins (PIT)	C	29	3	12	15	-5	0	0	2	71	13	51	4.23%	6	15.45	1	1	2	56	0	0	1	0	48.15%	27	0	0	0	0.67	0	0
9	Joey Anderson	Penguins (PIT)	RW	29	2	11	13	-3	8	0	6	71	22	45	2.82%	5	14.60	0	2	2	25	0	24	0	0	46.09%	115	0	0	0	0.61	0	1
10	Nicolas Aube-Kubel	Penguins (PIT)	RW	30	5	7	12	-1	6	0	31	90	33	64	5.56%	7	21.44	1	0	1	80	0	74	0	0	55.56%	72	0	1	0	0.37	0	0
11	Jacob Moverare	Penguins (PIT)	D	30	5	7	12	-11	16	0	51	31	5	23	16.13%	46	21.36	2	1	3	79	0	87	3	0	0.00%	0	0	0	0	0.37	0	0
12	Dennis Cholowski	Penguins (PIT)	D	30	0	11	11	-11	12	0	50	21	8	17	0.00%	36	21.50	0	5	5	78	0	92	0	0	0.00%	0	0	0	0	0.34	0	0
13	Nick Cicek	Penguins (PIT)	D	30	3	8	11	-1	32	0	87	22	10	15	13.64%	37	24.21	2	1	3	81	0	93	0	0	0.00%	0	0	0	0	0.30	0	0
14	Matt Rempe	Penguins (PIT)	C/RW	28	5	5	10	8	10	0	26	27	8	21	18.52%	0	10.42	0	1	1	11	0	13	0	2	56.52%	276	0	0	1	0.69	0	0
15	Kurtis MacDermid	Penguins (PIT)	LW/D	29	1	5	6	7	41	5	84	5	4	8	20.00%	14	15.34	0	0	0	9	0	41	1	0	50.00%	2	0	0	0	0.27	0	0
16	Nick Cousins	Penguins (PIT)	C/LW/RW	28	4	2	6	-6	8	0	25	23	9	16	17.39%	2	9.18	2	1	3	25	0	57	1	0	47.37%	38	0	0	0	0.47	0	1
17	Mikulas Hovorka	Penguins (PIT)	D	19	1	4	5	3	2	0	9	5	3	10	20.00%	26	14.16	0	0	0	1	0	5	0	0	0.00%	0	0	0	0	0.37	0	0
18	Ross Johnston	Penguins (PIT)	LW	1	0	1	1	1	0	0	4	1	0	2	0.00%	0	14.85	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	1.35	0	0
19	Cameron Crotty	Penguins (PIT)	D	12	1	0	1	6	2	0	10	9	1	4	11.11%	11	13.71	0	0	0	1	0	2	1	0	0.00%	0	0	0	0	0.12	0	0
20	Bogdan Trineyev	Penguins (PIT)	RW	6	0	1	1	1	0	0	0	3	0	4	0.00%	1	3.11	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	1.07	0	0
21	Isaac Ratcliffe	Penguins (PIT)	LW	24	0	0	0	0	0	0	1	1	0	0	0.00%	0	0.18	0	0	0	1	0	0	0	0	0.00%	0	0	0	0	0.00	0	0
22	Oscar Eklind	Penguins (PIT)	C/LW	29	0	0	0	0	0	0	1	1	0	2	0.00%	0	0.41	0	0	0	0	0	2	0	0	60.00%	5	0	0	0	0.00	0	0
23	Kyle McDonald	Penguins (PIT)	RW	6	0	0	0	-1	0	0	0	1	0	1	0.00%	0	1.51	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0
24	Cameron Butler	Penguins (PIT)	RW	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0
25	Cam Thiesing	Penguins (PIT)	C	1	0	0	0	-1	0	0	0	1	0	0	0.00%	0	6.50	0	0	0	0	0	0	0	0	30.00%	10	0	0	0	0.00	0	0
Team Total or Average			566	82	153	235	-21	288	10	733	954	259	645	8.60%	279	15.79	14	26	40	829	0	828	12	6	51.53%	2905	0	1	1	0.53	0	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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Benjamin Kraws	Penguins (PIT)	28	12	13	3	0.900	3.03	1626	0	82	820	0	2	0.333	3	28	0	1	4	1
2	Parker Gahagen	Penguins (PIT)	4	1	1	0	0.933	2.67	180	0	8	119	0	0	0.000	0	2	19	0	0	0
Team Total or Average		32	13	14	3	0.904	2.99	1807	0	90	939	0	2	0.333	3	30	19	1	4	1

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Adam Edstrom	C	25	975,000$	975,000$	975,000$	RFA
Benjamin Kraws	G	25	775,000$	775,000$	RFA
Bogdan Trineyev	RW	23	900,000$	900,000$	900,000$	RFA
Cam Thiesing	C	24	870,000$	870,000$	RFA
Cameron Butler	RW	23	858,333$	858,333$	RFA
Cameron Crotty	D	26	800,000$	800,000$	RFA
Curtis Hall	C	25	825,000$	825,000$	RFA
Dennis Cholowski	D	27	825,000$	825,000$	UFA
Gavin Bayreuther	D	31	775,000$	775,000$	UFA
Ilya Nikolayev	C	24	850,000$	850,000$	850,000$	RFA
Isaac Ratcliffe	LW	26	775,000$	775,000$	RFA
Jack Finley	C	23	775,000$	775,000$	775,000$	775,000$	RFA
Jacob Moverare	D	27	775,000$	775,000$	UFA
Jakob Pivonka	C	25	850,000$	850,000$	850,000$	RFA
Jaxson Nelson	C	25	850,000$	850,000$	850,000$	RFA
Joey Anderson	RW	27	900,000$	900,000$	UFA
Kurtis MacDermid	LW/D	31	1,150,000$	1,150,000$	1,150,000$	UFA
Kyle McDonald	RW	23	870,000$	870,000$	RFA
Marcus Sylvegard	LW/RW	26	800,000$	800,000$	800,000$	UFA
Markus Niemelainen	D	27	800,000$	800,000$	UFA
Matt Rempe	C/RW	23	900,000$	900,000$	900,000$	900,000$	RFA
Mikulas Hovorka	D	24	950,000$	950,000$	RFA
Nick Cicek	D	25	825,000$	825,000$	825,000$	825,000$	UFA
Nick Cousins	C/LW/RW	32	1,300,000$	1,300,000$	UFA
Nicolas Aube-Kubel	RW	29	1,100,000$	1,100,000$	UFA
Oliver Okuliar	LW	25	850,000$	850,000$	850,000$	RFA
Oscar Eklind	C/LW	27	850,000$	850,000$	UFA
Owen Sillinger	C	28	800,000$	800,000$	UFA
Parker Gahagen	G	32	775,000$	775,000$	UFA
Riley Tufte	LW	27	800,000$	800,000$	UFA
Ross Johnston	LW	31	1,100,000$	1,100,000$	UFA
Samuel Laberge	LW	28	775,000$	775,000$	UFA
Serron Noel	RW	25	800,000$	800,000$	RFA
Tyce Thompson	RW	26	800,000$	800,000$	800,000$	UFA
Tyler Angle	LW	25	900,000$	900,000$	RFA
Victor Ostman	G	25	870,000$	870,000$	RFA
Waltteri Ignatjew	G	26	850,000$	850,000$	850,000$	UFA

Lines

Forward Lines
# - Owen Sillinger	# - Jack Finley	# - Joey Anderson
# - Samuel Laberge	# - Adam Edstrom	# - Nicolas Aube-Kubel
# - Riley Tufte	# - Curtis Hall	# - Jaxson Nelson
# - Nicolas Aube-Kubel	# - Owen Sillinger	# - Riley Tufte

Defensive Pairings
# - Gavin Bayreuther	# - Nick Cicek
# - Dennis Cholowski	# - Jacob Moverare
# - Kurtis MacDermid	# - Cameron Crotty

1st Power Play Unit
# - Owen Sillinger		# - Riley Tufte		# - Jaxson Nelson
# - Gavin Bayreuther			# - Nick Cicek

2nd Power Play Unit
# - Samuel Laberge		# - Adam Edstrom		# - Nicolas Aube-Kubel
# - Dennis Cholowski			# - Jacob Moverare

Goalies
# - Benjamin Kraws		# - Parker Gahagen

Team Stats

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	VS Team	GP	W	L	OTW	OTL	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT	GF%	SH%	SV%	PDO	PDOBRK
1	Wranglers	1	1	0	0	0	0	4	1	3	2	1.000	4	8	12	0	32	31	17	1	40	300	324	329	7	22	6	4	17	5	0	0.00%	1	0	100.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	80.0%	10.0%	95.5%	105.5	LUCKY
2	Phantoms	1	0	1	0	0	0	2	4	-2	0	0.000	2	3	5	1	32	31	17	1	30	300	324	329	7	27	12	6	25	4	1	25.00%	3	0	100.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	20.0%	6.7%	85.2%	91.9	Unlucky
3	Comets	1	1	0	0	0	0	3	2	1	2	1.000	3	6	9	0	32	31	17	1	39	300	324	329	7	33	3	6	21	5	1	20.00%	2	0	100.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	50.0%	7.7%	93.9%	101.6	DULL
4	Senators	2	0	2	0	0	0	5	9	-4	0	0.000	5	10	15	1	32	31	17	1	55	300	324	329	7	71	19	18	40	6	0	0.00%	8	3	62.50%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	45.5%	9.1%	87.3%	96.4	FUN
5	Islanders	3	0	3	0	0	0	9	14	-5	0	0.000	9	16	25	0	32	31	17	1	106	300	324	329	7	89	28	26	84	10	2	20.00%	12	4	66.67%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	41.2%	8.5%	84.3%	92.8	Unlucky
6	Eagles	1	1	0	0	0	0	6	3	3	2	1.000	6	11	17	0	32	31	17	1	30	300	324	329	7	27	9	19	31	4	2	50.00%	2	0	100.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	57.1%	20.0%	88.9%	108.9	FUN
7	Wolf Pack	2	1	1	0	0	0	7	8	-1	2	0.500	7	13	20	0	32	31	17	1	54	300	324	329	7	86	23	35	56	3	0	0.00%	10	3	70.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	58.3%	13.0%	90.7%	103.7	FUN
8	Griffins	1	0	1	0	0	0	0	2	-2	0	0.000	0	0	0	0	32	31	17	1	33	300	324	329	7	23	3	6	36	2	0	0.00%	3	1	66.67%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	0.0%	0.0%	91.3%	91.3	DULL
9	Bears	1	0	1	0	0	0	1	6	-5	0	0.000	1	1	2	0	32	31	17	1	34	300	324	329	7	27	5	10	22	6	1	16.67%	4	2	50.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	0.0%	2.9%	77.8%	80.7	Unlucky
10	Crunch	1	1	0	0	0	0	5	3	2	2	1.000	5	10	15	0	32	31	17	1	37	300	324	329	7	38	12	6	23	3	0	0.00%	3	0	100.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	62.5%	13.5%	92.1%	105.6	LUCKY
11	Condors	1	1	0	0	0	0	2	1	1	2	1.000	2	3	5	0	32	31	17	1	24	300	324	329	7	30	10	8	16	5	0	0.00%	4	1	75.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	100.0%	8.3%	96.7%	105.0	DULL
12	Thunderbirds	3	1	1	1	0	0	10	9	1	4	0.667	10	20	30	0	32	31	17	1	105	300	324	329	7	85	32	34	62	10	2	20.00%	15	1	93.33%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	50.0%	9.5%	89.4%	98.9	FUN
13	Bruins	4	0	1	0	2	1	5	11	-6	3	0.375	5	10	15	0	32	31	17	1	115	300	324	329	7	140	46	34	102	5	2	40.00%	15	0	100.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	21.4%	4.3%	92.1%	96.5	DULL
14	IceHogs	1	0	1	0	0	0	3	4	-1	0	0.000	3	6	9	0	32	31	17	1	25	300	324	329	7	37	9	18	30	2	0	0.00%	9	2	77.78%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	60.0%	12.0%	89.2%	101.2	FUN
15	Checkers	4	2	2	0	0	0	10	12	-2	4	0.500	10	17	27	0	32	31	17	1	143	300	324	329	7	127	37	28	86	13	3	23.08%	14	2	85.71%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	41.2%	7.0%	90.6%	97.5	Unlucky
16	Stars	1	1	0	0	0	0	3	1	2	2	1.000	3	6	9	0	32	31	17	1	30	300	324	329	7	33	12	8	19	3	0	0.00%	4	0	100.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	75.0%	10.0%	97.0%	107.0	LUCKY
17	Marlies	1	1	0	0	0	0	2	1	1	2	1.000	2	3	5	0	32	31	17	1	29	300	324	329	7	24	10	10	22	2	0	0.00%	5	1	80.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	100.0%	6.9%	95.8%	102.7	DULL
18	Silver Knights	1	1	0	0	0	0	4	2	2	2	1.000	4	8	12	0	32	31	17	1	29	300	324	329	7	22	5	6	24	5	0	0.00%	2	0	100.00%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	66.7%	13.8%	90.9%	104.7	FUN
	_Vs Division	13	4	10	1	2	1	27	38	-11	13	0.500	27	50	77	1	32	31	17	1	412	300	324	329	7	423	127	102	309	31	5	16.13%	48	7	85.42%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	41.5%	6.6%	91.0%	97.6	Unlucky
	_Vs Conference	24	7	13	1	2	1	59	81	-22	19	0.396	59	109	168	2	32	31	17	1	780	300	324	329	7	770	230	219	579	69	12	17.39%	94	17	81.91%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	42.3%	7.6%	89.5%	97.0	Unlucky
	_Since Last GM Reset	30	12	14	1	2	1	81	93	-12	29	0.483	81	151	232	2	32	31	17	1	958	300	324	329	7	941	281	282	716	93	14	15.05%	116	20	82.76%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	47.9%	8.5%	90.1%	98.6	Unlucky
	Total	30	12	14	1	2	1	81	93	-12	29	0.483	81	151	232	2	32	31	17	1	958	300	324	329	7	941	281	282	716	93	14	15.05%	116	20	82.76%	549	1091	50.32%	556	1068	52.06%	243	469	51.81%	686	451	723	236	400	199	47.9%	8.5%	90.1%	98.6	Unlucky

	Puck Time
Offensive Zone	22
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	1091
Neutral Zone Start	469
Defensive Zone Start	1068

	Puck Time
With Puck	29
Without Puck	30

	Faceoffs
Faceoffs Won	1348
Faceoffs Lost	1280

	Team Average Shots after	League Average Shots after
1st Period	10.0	9.57
2nd Period	20.8	20.31
3rd Period	31.8	30.68
Overtime	32.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.1	0.64
2nd Period	2.1	1.65
3rd Period	2.7	2.67
Overtime	2.7	2.83


Even Strenght Goal	65
PP Goal	14
PK Goal	0
Empty Net Goal	2

	Home	Away
Win	8	5
Lost	5	9
Overtime Lost	3	0


PP Attempt	93
PP Goal	14
PK Attempt	116
PK Goal Against	20

	Home
Shots For	31.9
Shots Against	31.4
Goals For	2.7
Goals Against	3.1
Hits	23.9
Shots Blocked	9.4
Pim	9.4

Schedule

Date	Matchup			Result	Detail
2025-10-10	Bruins	@	Penguins	Bruins2,Penguins1 (OT)	RECAP
2025-10-13	Penguins	@	Thunderbirds	Penguins4,Thunderbirds3 (OT)	RECAP
2025-10-15	Thunderbirds	@	Penguins	Thunderbirds3,Penguins2	RECAP
2025-10-16	Penguins	@	Islanders	Penguins3,Islanders4	RECAP
2025-10-17	Penguins	@	Bears	Penguins1,Bears6	RECAP
2025-10-20	Phantoms	@	Penguins	Phantoms4,Penguins2	RECAP
2025-10-23	Bruins	@	Penguins	Bruins2,Penguins1 (SO)	RECAP
2025-10-25	Penguins	@	Bruins	Penguins1,Bruins4	RECAP
2025-10-26	Penguins	@	Checkers	Penguins1,Checkers2	RECAP
2025-10-28	Wolf Pack	@	Penguins	Wolf Pack3,Penguins4	RECAP
2025-10-30	Penguins	@	Wolf Pack	Penguins3,Wolf Pack5	RECAP
2025-11-01	Thunderbirds	@	Penguins	Thunderbirds3,Penguins4	RECAP
2025-11-05	Islanders	@	Penguins	Islanders5,Penguins3	RECAP
2025-11-07	Penguins	@	Islanders	Penguins3,Islanders5	RECAP
2025-11-09	Penguins	@	Checkers	Penguins4,Checkers3	RECAP
2025-11-13	Senators	@	Penguins	Senators4,Penguins2	RECAP
2025-11-15	Penguins	@	Senators	Penguins3,Senators5	RECAP
2025-11-17	Silver Knights	@	Penguins	Silver Knights2,Penguins4	RECAP
2025-11-20	Wranglers	@	Penguins	Wranglers1,Penguins4	RECAP
2025-11-22	Penguins	@	IceHogs	Penguins3,IceHogs4	RECAP
2025-11-26	Bruins	@	Penguins	Bruins3,Penguins2 (OT)	RECAP
2025-11-30	Comets	@	Penguins	Comets2,Penguins3	RECAP
2025-12-02	Penguins	@	Eagles	Penguins6,Eagles3	RECAP
2025-12-04	Crunch	@	Penguins	Crunch3,Penguins5	RECAP
2025-12-07	Penguins	@	Stars	Penguins3,Stars1	RECAP
2025-12-09	Penguins	@	Marlies	Penguins2,Marlies1	RECAP
2025-12-12	Griffins	@	Penguins	Griffins2,Penguins0	RECAP
2025-12-14	Condors	@	Penguins	Condors1,Penguins2	RECAP
2025-12-16	Penguins	@	Checkers	Penguins1,Checkers4	RECAP
2025-12-21	Checkers	@	Penguins	Checkers3,Penguins4	RECAP
2025-12-24	Monsters	@	Penguins
2025-12-26	Penguins	@	Wolf Pack
2025-12-29	Islanders	@	Penguins
2025-12-31	Penguins	@	Wolf Pack
2026-01-02	Penguins	@	Americans
2026-01-03	Barracuda	@	Penguins
2026-01-08	Thunderbirds	@	Penguins
2026-01-10	Penguins	@	Wild
2026-01-13	Penguins	@	Gulls
2026-01-14	Wolf Pack	@	Penguins
2026-01-17	Penguins	@	Griffins
2026-01-19	Phantoms	@	Penguins
2026-01-21	Penguins	@	Crunch
2026-01-23	Rocket	@	Penguins
2026-01-26	Penguins	@	Canucks
2026-01-28	Penguins	@	Islanders
2026-01-31	Americans	@	Penguins
2026-02-02	Penguins	@	Bruins
2026-02-03	Reign	@	Penguins
2026-02-06	Admirals	@	Penguins
2026-02-10	Penguins	@	Comets
2026-02-12	Bears	@	Penguins
2026-02-17	Phantoms	@	Penguins
2026-02-19	Penguins	@	Phantoms
2026-02-22	Bruins	@	Penguins
2026-02-24	Penguins	@	Rocket
2026-02-27	Checkers	@	Penguins
2026-03-04	Bears	@	Penguins
2026-03-05	Penguins	@	Bruins
2026-03-07	Penguins	@	Phantoms
Trade Deadline --- Trades can�t be done after this day is simulated!
2026-03-09	Moose	@	Penguins
2026-03-12	Penguins	@	Wolves
2026-03-13	Marlies	@	Penguins
2026-03-16	Penguins	@	Bears
2026-03-18	Roadrunners	@	Penguins
2026-03-19	Penguins	@	Reign
2026-03-21	Penguins	@	Bears
2026-03-24	Roadrunners	@	Penguins
2026-03-25	Penguins	@	Thunderbirds
2026-03-27	Penguins	@	Monsters
2026-04-01	Firebirds	@	Penguins
2026-04-03	Penguins	@	Thunderbirds

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,644,333$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Wilkes-Barre/Scranton
	Capacity	3000
	Season Ticket Holders	0%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	0$	$	$	$
Attendance	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
20	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,644,333$	2,644,333$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,541,892$	14,691$	1,114,128$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	115	20,246$	2,085,338$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
2,085,338$	0$	0$	0$

Sponsors
TV Rights	Primary Sponsor	Secondary Sponsor	Secondary Sponsor

Depth Chart

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Defense #1

Defense #2

Goalie

Transactions

Injuries

Waltteri Ignatjew is suspended for 52 more games.
Markus Niemelainen is suspended for 52 more games.
Tyce Thompson is suspended for 52 more games.
Ilya Nikolayev is suspended for 52 more games.
Jakob Pivonka is suspended for 52 more games.
Oliver Okuliar is suspended for 52 more games.
Marcus Sylvegard is suspended for 52 more games.

Game Center

Penguins13-14-3, 29pts

14Final

Checkers11-17-4, 26pts

34Final

Penguins13-14-3, 29pts

Checkers11-17-4, 26pts

Mon, Dec 22

Penguins13-14-3, 29pts

Tue, Oct 14

Thunderbirds12-18-3, 27pts

Thu, Oct 16

Penguins13-14-3, 29pts

TRANSACTIONS

Team Info


	Head Coach	Dominique Ducharme
	Division	Atlantic
	City	Wilkes-Barre/Scranton
	Stadium Capacity	3,000

Penguins Affiliation


	General Manager	Étienne Côté
	Head Coach	Pascal Vincent
	Stadium	PPG Paints Arena
	Capacity	18,000

Team Leaders

GOALS Curtis Hall Penguins	12 GOALS
POINTS Riley Tufte Penguins	23 POINTS
WINS Benjamin Kraws Penguins	12 WINS
Expanded Player Leaderboard

Team Stats

Goals For 81 2.70 GFG	Goals Against 93 3.10 GAA
Power Play Percentage 15.1% 14 GF	Penalty Kill Percentage 82.8% 20 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain