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
Oliver Okuliar	0	LW	100.00	84	40	65	65	72	72	90	66	46	62	69	65	66	65	61	0	45	75	24	870,000$/1yrs
Marcus Sylvegard	0	LW/RW	100.00	60	38	93	64	74	74	90	65	40	61	69	71	65	67	66	0	42	75	25	870,000$/1yrs
Joey Anderson	0	RW	100.00	66	33	96	61	80	77	79	60	55	61	62	66	61	68	68	0	40	72	26	900,000$/2yrs
Nicolas Aube-Kubel	0	RW	100.00	83	40	81	55	80	75	83	59	59	61	60	59	59	72	70	0	58	71	28	1,100,000$/2yrs
Nick Cousins	0	C/LW/RW	97.00	72	39	76	55	74	75	88	61	61	62	61	58	61	77	75	0	19	71	31	1,300,000$/2yrs
Riley Tufte	24	LW	99.00	82	43	55	58	94	67	86	63	41	55	61	65	58	66	62	0	61	71	26	850,000$/1yrs
Jaxson Nelson	0	C	100.00	54	39	94	63	84	71	91	62	70	53	57	66	63	65	64	0	61	70	25	870,000$/1yrs
Owen Sillinger	0	C	100.00	73	40	70	54	69	65	90	64	67	58	53	67	55	68	65	0	61	69	27	800,000$/2yrs
Ross Johnston	0	LW	100.00	79	70	50	55	93	69	78	54	61	55	52	59	53	76	71	0	65	67	31	1,100,000$/2yrs
Jack Finley (R)	0	C	100.00	68	41	77	55	92	63	86	59	68	53	55	62	54	59	57	0	56	67	22	797,500$/1yrs
Jakob Pivonka	0	C	100.00	62	39	85	60	76	68	60	58	70	51	53	64	60	63	64	0	45	67	25	900,000$/1yrs
Adam Edstrom (R)	0	C	100.00	67	39	88	54	94	64	71	60	70	49	59	62	54	63	62	0	43	67	24	846,667$/1yrs
Louie Belpedio	0	D	100.00	70	33	99	62	75	77	67	60	30	61	67	72	64	72	72	0	38	75	28	775,000$/1yrs
Chad Ruhwedel	2	D	100.00	77	32	92	55	73	78	80	57	30	56	53	71	55	82	82	0	35	72	34	775,000$/1yrs
Mikulas Hovorka (R)	0	D	100.00	78	42	72	55	93	67	90	55	30	58	56	69	57	63	60	0	59	71	23	950,000$/2yrs
Dennis Cholowski	0	D	99.00	60	39	91	54	83	64	88	50	30	60	48	67	54	66	65	0	61	69	27	825,000$/2yrs
Kurtis MacDermid	56	LWD	100.00	77	63	52	55	94	66	79	54	62	56	55	59	54	75	71	0	62	69	31	1,150,000$/3yrs
Tyler Kleven (R)	0	D	100.00	76	33	90	55	82	81	90	50	30	54	50	65	50	62	61	0	61	68	23	916,667$/1yrs
Scratches
Oscar Eklind	0	C/LW	95.00	92	43	55	61	85	70	88	62	50	58	66	67	62	66	62	0	57	73	26	950,000$/1yrs
Cam Morrison	0	C	100.00	62	39	88	51	84	62	79	63	50	50	53	67	51	66	65	0	20	67	26
Cam Thiesing	0	C	100.00	85	43	50	61	72	66	85	58	62	52	53	60	61	59	54	0	55	67	24	870,000$/2yrs
Isaac Ratcliffe	0	LW	100.00	78	42	62	50	85	61	85	63	37	50	51	66	50	64	60	0	20	66	26
Tyler Angle	0	LW	100.00	65	38	84	53	66	62	83	61	70	51	54	64	53	63	61	0	19	66	24	900,000$/2yrs
Tyce Thompson	0	RW	100.00	71	39	73	52	70	62	86	62	36	54	49	66	52	64	62	0	20	66	25
Kyle McDonald	0	RW	100.00	63	40	86	55	84	62	75	59	36	51	56	63	53	59	58	0	23	66	23	870,000$/2yrs
Serron Noel	18	RW	100.00	84	45	67	57	93	71	60	58	56	49	46	59	55	62	64	0	20	65	24	900,000$/1yrs
Curtis Hall	0	C	100.00	61	39	89	49	85	59	75	62	66	48	47	65	48	62	61	0	20	64	24	825,000$/2yrs
Sam Hentges	31	C	100.00	61	38	89	48	69	59	68	63	71	48	47	66	47	64	63	0	20	64	25
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	23	836,667$/1yrs
Bogdan Trineyev (R)	0	RW	100.00	61	39	90	51	82	60	76	60	41	48	51	63	50	59	58	0	20	64	23	859,167$/1yrs
Cameron Butler	0	RW	100.00	79	42	59	52	85	60	70	60	44	42	44	63	51	59	55	0	20	62	22	858,333$/2yrs
Jacob Larsson	0	D	100.00	72	40	71	51	76	64	84	49	30	56	50	67	53	68	65	0	20	67	27
Markus Niemelainen	56	D	100.00	86	33	93	55	81	72	69	50	30	50	50	53	50	68	67	0	20	66	26
Jacob Moverare (R)	0	D	100.00	61	33	91	55	84	73	69	50	30	50	56	59	53	68	67	0	19	66	26	775,000$/2yrs
Cameron Crotty	5	D	100.00	65	40	83	46	85	60	86	45	30	51	47	66	49	64	62	0	20	64	25	800,000$/2yrs

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	99.00	75	94	70	82	66	73	75	75	73	72	74	64	73	0	53	79	24	850,000$/1yrs
Nikita Tolopilo	0	99.00	75	69	72	94	57	76	75	75	76	76	76	64	67	0	69	78	25	950,000$/1yrs
Scratches
Michael Bullion	0	100.00	78	66	75	77	83	79	80	78	79	77	79	69	69	0	20	80	27
Waltteri Ignatjew	0	100.00	71	84	68	80	68	71	72	71	71	70	72	66	75	0	19	76	25	870,000$/1yrs
Victor Ostman	0	100.00	69	73	66	81	60	72	69	69	72	72	70	63	71	0	20	74	24	870,000$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dominique Ducharme	79	74	73	78	73	68	77	CAN	51	5	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	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	TA	EG	HT	P/20	PSG	PSS
1	Oscar Eklind	Penguins (PIT)	C/LW	68	20	34	54	13	81	5	253	260	71	189	7.69%	17	20.96	4	4	8	174	0	1	1	147	3	3	42.82%	724	0	0	0	0.76	0	2
2	Jaxson Nelson	Penguins (PIT)	C	69	19	31	50	0	0	0	3	216	61	158	8.80%	16	19.07	6	14	20	174	0	0	0	88	4	2	51.36%	1688	0	0	0	0.76	0	1
3	Riley Tufte	Penguins (PIT)	LW	69	25	21	46	1	81	5	225	230	50	158	10.87%	20	19.57	6	5	11	161	0	0	0	137	10	1	42.12%	387	0	1	1	0.68	1	1
4	Oliver Okuliar	Penguins (PIT)	LW	61	22	24	46	0	20	0	142	198	54	135	11.11%	11	17.38	4	8	12	110	0	0	0	68	1	2	41.83%	832	0	1	1	0.87	0	3
5	Louie Belpedio	Penguins (PIT)	D	43	8	34	42	8	20	0	81	94	34	66	8.51%	59	20.68	3	7	10	99	0	0	0	133	0	1	0.00%	0	0	0	0	0.94	0	0
6	Joey Anderson	Penguins (PIT)	RW	52	17	21	38	-1	0	0	10	196	51	131	8.67%	11	20.02	4	8	12	117	0	0	0	93	5	2	48.11%	185	0	0	0	0.73	1	3
7	Tyler Kleven	Penguins (PIT)	D	69	5	26	31	10	16	0	43	64	24	50	7.81%	102	21.34	3	10	13	174	0	0	0	214	0	0	0.00%	0	0	0	0	0.42	0	0
8	Marcus Sylvegard	Penguins (PIT)	LW/RW	41	15	16	31	8	0	0	1	117	34	82	12.82%	5	16.51	4	5	9	74	1	0	1	77	0	0	40.10%	207	0	0	0	0.92	0	1
9	Kurtis MacDermid	Penguins (PIT)	LW/D	69	9	21	30	6	87	5	220	71	17	43	12.68%	79	21.23	7	7	14	170	0	0	0	182	4	0	57.69%	26	0	0	0	0.41	3	6
10	Nicolas Aube-Kubel	Penguins (PIT)	RW	68	10	19	29	-5	24	0	78	136	24	95	7.35%	6	16.48	4	8	12	115	0	0	0	62	1	0	56.06%	132	0	0	0	0.52	1	2
11	Owen Sillinger	Penguins (PIT)	C	69	17	12	29	-2	28	0	44	172	43	115	9.88%	14	14.91	0	0	0	7	0	0	0	24	0	1	53.03%	1237	0	0	1	0.56	0	0
12	Dennis Cholowski	Penguins (PIT)	D	69	3	22	25	8	32	0	71	61	22	38	4.92%	90	21.17	2	5	7	176	0	0	0	218	0	0	0.00%	0	0	0	0	0.34	0	0
13	Mikulas Hovorka	Penguins (PIT)	D	69	2	21	23	-7	96	10	179	50	25	45	4.00%	85	18.62	0	2	2	42	0	0	0	41	0	0	0.00%	0	0	0	0	0.36	0	0
14	Ross Johnston	Penguins (PIT)	LW	69	6	14	20	-7	62	10	159	117	27	65	5.13%	3	15.14	0	0	0	9	0	0	0	32	2	0	55.56%	72	0	0	0	0.38	0	0
15	Chad Ruhwedel	Penguins (PIT)	D	57	4	12	16	-1	24	0	76	67	12	49	5.97%	79	20.37	1	3	4	73	0	0	0	79	1	0	0.00%	0	0	0	0	0.28	0	0
16	Nick Cousins	Penguins (PIT)	C/LW/RW	36	9	6	15	0	0	0	24	60	15	39	15.00%	7	15.78	2	0	2	43	0	0	0	68	2	1	53.77%	106	0	0	0	0.53	0	0
17	Adam Edstrom	Penguins (PIT)	C	54	7	7	14	7	2	0	10	39	14	19	17.95%	1	6.68	0	1	1	37	0	0	0	0	0	1	51.58%	190	0	0	0	0.78	0	0
18	Jacob Moverare	Penguins (PIT)	D	34	0	7	7	-13	20	0	42	18	11	16	0.00%	32	16.90	0	0	0	10	0	0	0	71	0	0	0.00%	0	0	0	0	0.24	0	0
19	Jakob Pivonka	Penguins (PIT)	C	62	2	3	5	1	0	0	3	52	14	43	3.85%	4	6.55	0	2	2	22	0	0	0	7	0	0	51.90%	158	0	0	0	0.25	2	2
20	Kyle McDonald	Penguins (PIT)	RW	32	0	2	2	0	0	0	2	30	11	27	0.00%	2	5.96	0	0	0	2	0	0	0	0	0	0	44.44%	9	0	0	0	0.21	0	0
21	Cam Thiesing	Penguins (PIT)	C	63	0	2	2	1	2	0	10	6	2	7	0.00%	2	1.81	0	0	0	27	0	0	0	50	0	0	40.85%	71	0	0	0	0.35	0	0
22	Cameron Crotty	Penguins (PIT)	D	4	0	0	0	-1	0	0	2	2	0	3	0.00%	7	16.51	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0
23	Tyler Angle	Penguins (PIT)	LW	11	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.21	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0	0.00	0	0
24	Serron Noel	Penguins (PIT)	RW	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	1.53	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0
25	Jack Finley	Penguins (PIT)	C	67	0	0	0	-3	0	0	2	22	5	19	0.00%	1	4.04	0	0	0	26	0	0	0	53	0	0	43.85%	130	0	0	0	0.00	0	0
Team Total or Average			1306	200	355	555	23	595	35	1680	2278	621	1592	8.78%	653	15.58	50	89	139	1854	1	1	2	1856	33	14	48.29%	6154	0	2	3	0.55	8	21

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Benjamin Kraws	Penguins (PIT)	51	27	16	7	0.912	2.72	3000	10	3	136	1542	0	1	2	0.800	5	51	10	6	1	2
2	Nikita Tolopilo	Penguins (PIT)	20	10	5	4	0.924	2.55	1175	2	2	50	656	0	2	1	0.706	17	18	44	3	1	1
3	Waltteri Ignatjew	Penguins (PIT)	1	0	0	0	1.000	0.00	17	0	0	0	9	0	0	1	0.000	0	0	13	0	0	0
Team Total or Average		72	37	21	11	0.916	2.66	4194	12	5	186	2207	0	3	4	0.727	22	69	67	9	2	3

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Adam Edstrom	C	24	846,667$	846,667$	RFA
Benjamin Kraws	G	24	850,000$	850,000$	RFA
Bogdan Trineyev	RW	23	859,167$	859,167$	RFA
Cam Morrison	C	26	0$	RFA
Cam Thiesing	C	24	870,000$	870,000$	870,000$	RFA
Cameron Butler	RW	22	858,333$	858,333$	858,333$	RFA
Cameron Crotty	D	25	800,000$	800,000$	800,000$	RFA
Chad Ruhwedel	D	34	775,000$	775,000$	UFA
Curtis Hall	C	24	825,000$	825,000$	825,000$	RFA
Dennis Cholowski	D	27	825,000$	825,000$	825,000$	UFA
Ilya Nikolayev	C	23	836,667$	836,667$	RFA
Isaac Ratcliffe	LW	26	0$	RFA
Jack Finley	C	22	797,500$	797,500$	RFA
Jacob Larsson	D	27	0$	UFA
Jacob Moverare	D	26	775,000$	775,000$	775,000$	UFA
Jakob Pivonka	C	25	900,000$	900,000$	RFA
Jaxson Nelson	C	25	870,000$	870,000$	RFA
Joey Anderson	RW	26	900,000$	900,000$	900,000$	UFA
Kurtis MacDermid	LW/D	31	1,150,000$	1,150,000$	1,150,000$	1,150,000$	UFA
Kyle McDonald	RW	23	870,000$	870,000$	870,000$	RFA
Louie Belpedio	D	28	775,000$	775,000$	UFA
Marcus Sylvegard	LW/RW	25	870,000$	870,000$	RFA
Markus Niemelainen	D	26	0$	RFA
Michael Bullion	G	27	0$	UFA
Mikulas Hovorka	D	23	950,000$	950,000$	950,000$	RFA
Nick Cousins	C/LW/RW	31	1,300,000$	1,300,000$	1,300,000$	UFA
Nicolas Aube-Kubel	RW	28	1,100,000$	1,100,000$	1,100,000$	UFA
Nikita Tolopilo	G	25	950,000$	950,000$	RFA
Nikita Tolopilo	G	25	950,000$	950,000$	RFA
Oliver Okuliar	LW	24	870,000$	870,000$	RFA
Oscar Eklind	C/LW	26	950,000$	950,000$	RFA
Owen Sillinger	C	27	800,000$	800,000$	800,000$	UFA
Riley Tufte	LW	26	850,000$	850,000$	UFA
Ross Johnston	LW	31	1,100,000$	1,100,000$	1,100,000$	UFA
Sam Hentges	C	25	0$	RFA
Serron Noel	RW	24	900,000$	900,000$	RFA
Tyce Thompson	RW	25	0$	RFA
Tyler Angle	LW	24	900,000$	900,000$	900,000$	RFA
Tyler Kleven	D	23	916,667$	916,667$	RFA
Victor Ostman	G	24	870,000$	870,000$	870,000$	RFA
Waltteri Ignatjew	G	25	870,000$	870,000$	RFA

Lines

Forward Lines
# - Nick Cousins	# - Marcus Sylvegard	# - Oliver Okuliar
# - Jaxson Nelson	# - Jakob Pivonka
# - Ross Johnston	# - Owen Sillinger	# - Riley Tufte
# - Nick Cousins	# - Riley Tufte

Defensive Pairings
# - Chad Ruhwedel	# - Mikulas Hovorka
# - Kurtis MacDermid	# - Tyler Kleven
# - Dennis Cholowski	# - Louie Belpedio

1st Power Play Unit
# - Nick Cousins		# - Oliver Okuliar
# - Dennis Cholowski			# - Louie Belpedio

2nd Power Play Unit
# - Marcus Sylvegard		# - Jaxson Nelson		# - Riley Tufte
# - Kurtis MacDermid			# - Tyler Kleven

Goalies
# - Nikita Tolopilo		# - Nikita Tolopilo		# - Benjamin Kraws

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	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	GF%	SH%	SV%	PDO	PDOBRK
1	Wranglers	1	0	0	0	1	0	0	3	4	-1	1	0.500	3	5	8	0	0	68	66	63	11	34	724	682	836	57	34	8	11	28	6	1	16.67%	3	0	100.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	33.3%	8.8%	88.2%	97.1	Unlucky
2	Phantoms	5	1	4	0	0	0	0	4	11	-7	2	0.200	4	8	12	0	1	68	66	63	11	137	724	682	836	57	145	44	28	119	19	3	15.79%	14	2	85.71%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	10.0%	2.9%	92.4%	95.3	DULL
3	Comets	2	2	0	0	0	0	0	10	4	6	4	1.000	10	18	28	0	0	68	66	63	11	71	724	682	836	57	57	19	14	38	7	5	71.43%	7	1	85.71%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	62.5%	14.1%	93.0%	107.1	LUCKY
4	Senators	2	2	0	0	0	0	0	8	6	2	4	1.000	8	14	22	0	0	68	66	63	11	66	724	682	836	57	61	18	16	71	6	0	0.00%	8	1	87.50%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	61.5%	12.1%	90.2%	102.3	FUN
5	Islanders	4	3	1	0	0	0	0	10	8	2	6	0.750	10	18	28	0	1	68	66	63	11	125	724	682	836	57	110	28	30	94	15	6	40.00%	15	2	86.67%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	40.0%	8.0%	92.7%	100.7	DULL
6	Wolves	1	0	0	0	1	0	0	3	4	-1	1	0.500	3	6	9	0	0	68	66	63	11	37	724	682	836	57	37	10	8	34	1	0	0.00%	4	0	100.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	42.9%	8.1%	89.2%	97.3	Unlucky
7	Eagles	1	1	0	0	0	0	0	4	1	3	2	1.000	4	6	10	0	0	68	66	63	11	37	724	682	836	57	22	6	14	32	4	2	50.00%	7	1	85.71%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	100.0%	10.8%	95.5%	106.3	LUCKY
8	Wolf Pack	5	3	2	0	0	0	0	14	9	5	6	0.600	14	26	40	1	1	68	66	63	11	169	724	682	836	57	143	42	48	100	25	5	20.00%	21	2	90.48%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	56.3%	8.3%	93.7%	102.0	DULL
9	Griffins	2	2	0	0	0	0	0	9	5	4	4	1.000	9	17	26	0	0	68	66	63	11	71	724	682	836	57	59	21	22	52	6	3	50.00%	9	2	77.78%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	66.7%	12.7%	91.5%	104.2	LUCKY
10	Rocket	2	2	0	0	0	0	0	6	4	2	4	1.000	6	12	18	0	0	68	66	63	11	64	724	682	836	57	53	19	10	54	5	1	20.00%	5	0	100.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	55.6%	9.4%	92.5%	101.8	LUCKY
11	Bears	4	1	1	0	1	1	0	10	9	1	5	0.625	10	15	25	0	0	68	66	63	11	114	724	682	836	57	140	25	37	100	6	1	16.67%	13	2	84.62%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	56.3%	8.8%	93.6%	102.3	DULL
12	Wild	1	0	0	0	1	0	0	3	4	-1	1	0.500	3	6	9	0	0	68	66	63	11	22	724	682	836	57	42	15	12	21	1	0	0.00%	6	0	100.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	42.9%	13.6%	90.5%	104.1	FUN
13	Canucks	2	1	0	0	1	0	0	10	8	2	3	0.750	10	15	25	0	0	68	66	63	11	75	724	682	836	57	75	13	22	53	6	0	0.00%	11	1	90.91%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	58.8%	13.3%	89.3%	102.7	FUN
14	Reign	1	0	1	0	0	0	0	3	5	-2	0	0.000	3	4	7	0	0	68	66	63	11	27	724	682	836	57	32	11	4	27	1	0	0.00%	2	1	50.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	42.9%	11.1%	84.4%	95.5	FUN
15	Crunch	4	2	1	1	0	0	0	12	9	3	6	0.750	12	22	34	0	1	68	66	63	11	120	724	682	836	57	109	39	33	106	18	4	22.22%	13	2	84.62%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	53.3%	10.0%	91.7%	101.7	LUCKY
16	Condors	2	2	0	0	0	0	0	6	3	3	4	1.000	6	11	17	0	0	68	66	63	11	65	724	682	836	57	62	21	16	45	4	0	0.00%	7	1	85.71%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	75.0%	9.2%	95.2%	104.4	LUCKY
17	Thunderbirds	5	1	3	0	1	0	0	9	18	-9	3	0.300	9	17	26	0	0	68	66	63	11	143	724	682	836	57	192	75	36	128	16	2	12.50%	16	2	87.50%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	30.4%	6.3%	90.6%	96.9	Unlucky
18	Roadrunners	1	1	0	0	0	0	0	4	0	4	2	1.000	4	5	9	0	1	68	66	63	11	43	724	682	836	57	29	7	10	30	5	1	20.00%	5	0	100.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	100.0%	9.3%	100.0%	109.3	LUCKY
19	Bruins	4	0	2	1	0	0	1	12	16	-4	3	0.375	12	18	30	0	0	68	66	63	11	142	724	682	836	57	130	35	36	83	11	3	27.27%	10	1	90.00%	1	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	37.5%	8.5%	87.7%	96.1	Unlucky
20	Americans	3	0	2	0	0	1	0	9	12	-3	2	0.333	9	15	24	2	0	68	66	63	11	115	724	682	836	57	125	32	38	62	4	0	0.00%	19	4	78.95%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	52.9%	7.8%	90.4%	98.2	Unlucky
21	IceHogs	1	0	0	1	0	0	0	5	4	1	2	1.000	5	9	14	0	0	68	66	63	11	28	724	682	836	57	34	4	14	31	2	1	50.00%	6	1	83.33%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	57.1%	17.9%	88.2%	106.1	FUN
22	Checkers	4	2	2	0	0	0	0	12	14	-2	4	0.500	12	24	36	0	0	68	66	63	11	146	724	682	836	57	143	51	34	101	9	4	44.44%	16	4	75.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	44.4%	8.2%	90.2%	98.4	Unlucky
23	Monsters	2	1	0	0	0	1	0	7	3	4	4	1.000	7	12	19	0	0	68	66	63	11	79	724	682	836	57	59	16	4	41	9	0	0.00%	1	0	100.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	70.0%	8.9%	94.9%	103.8	Unlucky
24	Moose	1	0	0	0	1	0	0	4	5	-1	1	0.500	4	8	12	0	0	68	66	63	11	39	724	682	836	57	31	9	7	25	4	1	25.00%	1	0	100.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	37.5%	10.3%	83.9%	94.1	FUN
25	Gulls	1	0	0	0	1	0	0	3	4	-1	1	0.500	3	6	9	0	0	68	66	63	11	43	724	682	836	57	39	12	13	29	5	1	20.00%	4	2	50.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	50.0%	7.0%	89.7%	96.7	Unlucky
26	Stars	1	0	1	0	0	0	0	2	3	-1	0	0.000	2	2	4	0	0	68	66	63	11	28	724	682	836	57	30	5	18	19	3	0	0.00%	8	0	100.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	40.0%	7.1%	90.0%	97.1	Unlucky
27	Marlies	2	1	0	0	1	0	0	8	7	1	3	0.750	8	13	21	0	0	68	66	63	11	65	724	682	836	57	67	24	24	42	9	3	33.33%	11	3	72.73%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	55.6%	12.3%	89.6%	101.9	FUN
28	Barracuda	1	0	0	0	0	0	1	3	4	-1	1	0.500	3	6	9	0	0	68	66	63	11	30	724	682	836	57	34	8	12	21	2	0	0.00%	6	2	66.67%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	60.0%	10.0%	88.2%	98.2	FUN
29	Silver Knights	1	1	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	68	66	63	11	31	724	682	836	57	23	5	8	15	6	1	16.67%	4	0	100.00%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	66.7%	9.7%	95.7%	105.3	LUCKY
30	Firebirds	3	1	1	0	0	1	0	8	7	1	4	0.667	8	12	20	1	0	68	66	63	11	112	724	682	836	57	94	31	28	79	11	2	18.18%	14	5	64.29%	0	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	75.0%	7.1%	92.6%	99.7	DULL
	_Vs Division	23	11	15	1	2	1	1	76	73	3	29	0.630	76	135	211	2	1	68	66	63	11	789	724	682	836	57	747	239	213	571	68	18	26.47%	91	17	81.32%	1	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	50.9%	9.6%	90.2%	99.9	FUN
	_Vs Conference	50	23	18	2	3	3	1	140	135	5	60	0.600	140	249	389	3	4	68	66	63	11	1627	724	682	836	57	1593	488	410	1191	165	40	24.24%	178	28	84.27%	1	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	48.3%	8.6%	91.5%	100.1	DULL
	_Since Last GM Reset	69	30	21	3	9	4	2	204	192	12	85	0.616	204	355	559	4	5	68	66	63	11	2278	724	682	836	57	2211	653	607	1680	226	50	22.12%	266	42	84.21%	1	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	50.7%	9.0%	91.3%	100.3	LUCKY
	Total	69	30	21	3	9	4	2	204	192	12	85	0.616	204	355	559	4	5	68	66	63	11	2278	724	682	836	57	2211	653	607	1680	226	50	22.12%	266	42	84.21%	1	1261	2548	49.49%	1225	2492	49.16%	486	1034	47.00%	1635	1092	1639	538	922	457	50.7%	9.0%	91.3%	100.3	LUCKY

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	2548
Neutral Zone Start	1034
Defensive Zone Start	2492

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	2972
Faceoffs Lost	3102

	Team Average Shots after	League Average Shots after
1st Period	10.5	9.57
2nd Period	20.4	20.31
3rd Period	32.5	30.68
Overtime	33.3	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.0	0.64
2nd Period	1.9	1.65
3rd Period	2.9	2.67
Overtime	3.0	2.83


Even Strenght Goal	149
PP Goal	50
PK Goal	1
Empty Net Goal	4

	Home	Away
Win	20	17
Lost	10	11
Overtime Lost	4	7


PP Attempt	226
PP Goal	50
PK Attempt	266
PK Goal Against	42

	Home
Shots For	33.0
Shots Against	32.0
Goals For	3.0
Goals Against	2.8
Hits	24.3
Shots Blocked	9.5
Pim	8.8

Schedule

Date	Matchup			Result	Detail
2024-10-09	Thunderbirds	@	Penguins	Thunderbirds1,Penguins2	RECAP
2024-10-11	Bruins	@	Penguins	Bruins6,Penguins4	RECAP
2024-10-12	Penguins	@	Phantoms	Penguins2,Phantoms0	RECAP
2024-10-16	Crunch	@	Penguins	Crunch2,Penguins3	RECAP
2024-10-19	Penguins	@	Wolf Pack	Penguins5,Wolf Pack0	RECAP
2024-10-21	Penguins	@	Phantoms	Penguins0,Phantoms3	RECAP
2024-10-24	Thunderbirds	@	Penguins	Thunderbirds3,Penguins1	RECAP
2024-10-27	Islanders	@	Penguins	Islanders0,Penguins2	RECAP
2024-10-30	Penguins	@	Wolf Pack	Penguins3,Wolf Pack2	RECAP
2024-10-31	Bears	@	Penguins	Bears2,Penguins1 (OT)	RECAP
2024-11-02	Crunch	@	Penguins	Crunch5,Penguins3	RECAP
2024-11-04	Penguins	@	Firebirds	Penguins5,Firebirds3	RECAP
2024-11-06	Penguins	@	Thunderbirds	Penguins1,Thunderbirds4	RECAP
2024-11-07	Penguins	@	Checkers	Penguins3,Checkers7	RECAP
2024-11-11	Barracuda	@	Penguins	Barracuda4,Penguins3 (SO)	RECAP
2024-11-13	Firebirds	@	Penguins	Firebirds1,Penguins2 (SO)	RECAP
2024-11-14	Penguins	@	Americans	Penguins4,Americans3 (SO)	RECAP
2024-11-16	Americans	@	Penguins	Americans5,Penguins3	RECAP
2024-11-17	Penguins	@	Comets	Penguins3,Comets1	RECAP
2024-11-22	Penguins	@	Phantoms	Penguins0,Phantoms3	RECAP
2024-11-23	Checkers	@	Penguins	Checkers1,Penguins3	RECAP
2024-11-25	Phantoms	@	Penguins	Phantoms3,Penguins1	RECAP
2024-11-27	Penguins	@	Wolf Pack	Penguins1,Wolf Pack3	RECAP
2024-11-29	Monsters	@	Penguins	Monsters2,Penguins3 (SO)	RECAP
2024-12-04	Penguins	@	Bears	Penguins3,Bears1	RECAP
2024-12-05	Silver Knights	@	Penguins	Silver Knights1,Penguins3	RECAP
2024-12-11	Comets	@	Penguins	Comets3,Penguins7	RECAP
2024-12-13	Penguins	@	Thunderbirds	Penguins1,Thunderbirds5	RECAP
2024-12-16	Senators	@	Penguins	Senators4,Penguins5	RECAP
2024-12-21	Penguins	@	Marlies	Penguins3,Marlies4 (OT)	RECAP
2024-12-23	Penguins	@	Crunch	Penguins3,Crunch2 (OT)	RECAP
2024-12-25	Americans	@	Penguins	Americans4,Penguins2	RECAP
2024-12-27	Penguins	@	Islanders	Penguins5,Islanders4	RECAP
2024-12-28	Condors	@	Penguins	Condors2,Penguins3	RECAP
2025-01-02	Marlies	@	Penguins	Marlies3,Penguins5	RECAP
2025-01-04	Penguins	@	Checkers	Penguins4,Checkers2	RECAP
2025-01-06	Penguins	@	Wild	Penguins3,Wild4 (OT)	RECAP
2025-01-07	Phantoms	@	Penguins	Phantoms2,Penguins1	RECAP
2025-01-11	Penguins	@	Canucks	Penguins7,Canucks4	RECAP
2025-01-12	Thunderbirds	@	Penguins	Thunderbirds5,Penguins4 (OT)	RECAP
2025-01-17	Checkers	@	Penguins	Checkers4,Penguins2	RECAP
2025-01-21	Penguins	@	Bruins	Penguins2,Bruins3 (SO)	RECAP
2025-01-23	Penguins	@	Monsters	Penguins4,Monsters1	RECAP
2025-01-24	Bears	@	Penguins	Bears2,Penguins3 (SO)	RECAP
2025-01-26	Wolf Pack	@	Penguins	Wolf Pack1,Penguins3	RECAP
2025-01-29	Penguins	@	Bears	Penguins3,Bears4	RECAP
2025-01-31	Penguins	@	Moose	Penguins4,Moose5 (OT)	RECAP
2025-02-01	Roadrunners	@	Penguins	Roadrunners0,Penguins4	RECAP
2025-02-04	Penguins	@	Canucks	Penguins3,Canucks4 (OT)	RECAP
2025-02-06	Wolves	@	Penguins	Wolves4,Penguins3 (OT)	RECAP
2025-02-09	Penguins	@	Islanders	Penguins0,Islanders2	RECAP
2025-02-11	Bruins	@	Penguins	Bruins3,Penguins4 (OT)	RECAP
2025-02-12	Penguins	@	Griffins	Penguins5,Griffins3	RECAP
2025-02-15	Penguins	@	Bruins	Penguins2,Bruins4	RECAP
2025-02-16	Crunch	@	Penguins	Crunch0,Penguins3	RECAP
2025-02-20	Griffins	@	Penguins	Griffins2,Penguins4	RECAP
2025-02-24	Penguins	@	IceHogs	Penguins5,IceHogs4 (OT)	RECAP
2025-02-26	Eagles	@	Penguins	Eagles1,Penguins4	RECAP
2025-02-28	Penguins	@	Condors	Penguins3,Condors1	RECAP
2025-03-01	Rocket	@	Penguins	Rocket2,Penguins3	RECAP
2025-03-03	Penguins	@	Wranglers	Penguins3,Wranglers4 (OT)	RECAP
2025-03-05	Penguins	@	Reign	Penguins3,Reign5	RECAP
2025-03-07	Wolf Pack	@	Penguins	Wolf Pack3,Penguins2	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
2025-03-13	Islanders	@	Penguins	Islanders2,Penguins3	RECAP
2025-03-16	Penguins	@	Gulls	Penguins3,Gulls4 (OT)	RECAP
2025-03-18	Stars	@	Penguins	Stars3,Penguins2	RECAP
2025-03-20	Penguins	@	Senators	Penguins3,Senators2	RECAP
2025-03-22	Penguins	@	Rocket	Penguins3,Rocket2	RECAP
2025-03-23	Penguins	@	Firebirds	Penguins1,Firebirds3	RECAP
2025-03-26	Admirals	@	Penguins
2025-03-29	Admirals	@	Penguins
2025-04-01	Penguins	@	IceHogs

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,958,001$	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
2	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,958,001$	2,958,001$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
3,561,177$	16,253$	2,621,671$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	25	21,747$	239,217$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
239,217$	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

No Injury or Suspension.

Game Center

Penguins37-21-11, 85pts

32Final

Rocket28-28-12, 68pts

Penguins37-21-11, 85pts

13Final

Firebirds33-28-9, 75pts

Penguins37-21-11, 85pts

Mon, Mar 24

Firebirds33-28-9, 75pts

Bruins36-28-5, 77pts

Sat, Oct 12

Penguins37-21-11, 85pts

Sun, Oct 13

Phantoms42-23-5, 89pts

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 Riley Tufte Penguins	25 GOALS
POINTS Oscar Eklind Penguins	54 POINTS
WINS Benjamin Kraws Penguins	27 WINS
Expanded Player Leaderboard

Team Stats

Goals For 204 2.96 GFG	Goals Against 192 2.78 GAA
Power Play Percentage 22.1% 50 GF	Penalty Kill Percentage 84.2% 42 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain