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
Jujhar Khaira	16	C/LW	100.00	80	48	79	61	86	78	73	59	77	61	62	79	61	75	73	0	81	75	30	775,000$/2yrs
T.J. Tynan	36	C	100.00	71	38	73	60	60	73	90	72	76	76	51	71	63	77	74	0	79	75	33	800,000$/2yrs
Lane Pederson	0	C/RW	100.00	84	51	67	55	75	75	69	60	78	59	62	59	61	70	66	0	82	71	27	800,000$/1yrs
Jeff Malott	0	LW	100.00	76	41	64	57	82	68	90	64	46	57	61	68	59	70	66	0	80	71	28	800,000$/3yrs
Nicholas Abruzzese (R)	0	C/LW	100.00	60	38	90	66	71	65	60	66	67	61	56	60	67	63	62	0	79	71	25	850,000$/2yrs
Jacob Quillan	0	C	100.00	61	39	85	66	73	72	91	64	70	59	56	64	66	61	60	0	80	71	23	875,000$/2yrs
Bennett MacArthur	0	LW	100.00	42	39	79	67	76	72	60	64	36	56	60	64	66	60	58	0	71	70	24	859,167$/1yrs
Devin Shore	0	C	100.00	67	33	95	55	81	70	76	56	76	61	54	61	55	75	75	0	72	69	30	775,000$/1yrs
Nikita Nesterenko (R)	0	C/LW	100.00	66	38	84	56	74	65	76	60	63	53	57	62	56	61	59	0	19	67	23	800,000$/3yrs
Brady Stonehouse	0	RW	100.00	77	40	67	63	73	67	60	60	37	51	55	61	61	56	53	0	37	67	20	845,000$/2yrs
Marc Gatcomb	0	RW	100.00	66	39	82	50	78	61	84	63	70	50	50	66	50	64	62	0	37	66	25	800,000$/3yrs
Matthew Benning	0	D	100.00	71	33	84	59	80	88	79	62	30	67	52	69	57	76	74	0	81	76	30	1,250,000$/2yrs
Matt Donovan	0	D	100.00	81	42	57	56	80	68	77	52	30	62	48	75	55	80	76	0	75	73	34	775,000$/2yrs
Trevor Carrick	47	D	100.00	72	40	72	55	70	68	88	53	30	62	54	71	58	73	71	0	69	72	30	775,000$/2yrs
Derrick Pouliot	51	D	100.00	75	40	67	57	76	69	81	53	30	63	51	70	57	74	70	0	59	72	31	850,000$/2yrs
Hunter Drew	65	D	100.00	99	46	50	51	77	62	82	64	43	50	52	67	51	66	61	0	65	69	26	800,000$/3yrs
Vladislav Kolyachonok	18	D	100.00	62	33	96	55	76	75	75	50	30	60	60	55	55	64	64	0	62	69	23	900,000$/3yrs
Scratches
Martin Frk	0	LW/RW	89.07	75	41	66	59	82	72	77	67	44	60	65	70	63	75	72	0	62	74	31	850,000$/1yrs
Mason Shaw	18	C/LW	75.37	74	60	52	59	70	73	77	60	62	61	61	65	60	68	63	0	72	71	26	1,000,000$/2yrs
Brendan Perlini	0	LW	100.00	67	40	79	54	86	66	76	65	72	53	58	68	56	70	68	0	65	70	28	775,000$/2yrs
Nolan Burke (R)	0	C	100.00	64	39	83	65	74	69	60	62	67	54	58	61	64	58	56	0	46	69	22	861,667$/1yrs
Curtis Douglas (R)	0	C	100.00	99	47	50	51	99	61	86	62	65	51	50	65	51	62	57	0	19	67	25	800,000$/3yrs
Maxim Cajkovic	0	LW/RW	100.00	62	39	88	52	78	61	67	61	39	51	51	64	51	61	59	0	19	65	24	775,000$/1yrs
Zach Dean (R)	0	C	100.00	66	37	82	53	70	62	72	58	57	48	52	62	50	58	56	0	19	64	22	883,333$/1yrs
Tucker Robertson (R)	0	C	100.00	63	38	85	52	72	59	72	59	69	48	51	62	50	57	56	0	20	64	21	870,000$/2yrs
Jordan Frasca	0	C	100.00	62	39	88	52	76	53	60	48	65	42	42	60	50	59	58	0	19	59	23	859,167$/1yrs
Robin Salo (R)	0	D	100.00	64	38	84	50	74	63	82	48	30	56	49	66	52	66	65	0	19	67	26	850,000$/2yrs
Jeremie Biakabutuka	0	D	100.00	77	41	68	58	82	66	60	55	30	52	50	63	59	59	56	0	19	67	23	825,000$/2yrs
Mark Pysyk	31	D	100.00	63	39	87	43	78	61	71	42	30	48	45	73	46	76	75	0	19	64	33	775,000$/2yrs
Simon Johansson	0	D	100.00	67	39	80	46	70	61	89	45	30	51	49	66	50	64	62	0	20	64	25	800,000$/2yrs
Peetro Seppala	0	D	100.00	66	39	81	46	77	59	86	44	30	51	46	65	48	62	60	0	19	63	24	800,000$/3yrs

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
Louis Domingue	35	99.00	73	85	71	83	70	76	77	72	76	72	75	78	80	0	61	80	33	850,000$/2yrs
Adam Scheel	0	100.00	74	77	71	79	71	75	75	74	75	74	75	65	66	0	74	78	25	800,000$/1yrs
Scratches
Brandon Halverson	0	100.00	73	69	71	85	67	77	75	73	77	75	75	71	71	0	26	78	29	850,000$/3yrs
Amir Miftakhov	0	100.00	66	71	72	70	65	64	66	65	64	66	65	62	67	0	20	71	24
Will Cranley	0	100.00	60	62	66	84	59	60	60	60	60	63	60	60	63	0	20	67	23	775,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Darryl Sutter	75	82	86	78	99	90	87	CAN	64	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	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	TA	EG	HT	P/20	PSG	PSS
1	Mason Shaw	Phantoms (PHI)	C/LW	66	23	25	48	12	62	10	139	166	48	129	13.86%	9	16.50	7	8	15	148	0	1	1	84	1	4	50.30%	334	0	0	1	0.88	0	1
2	Jujhar Khaira	Phantoms (PHI)	C/LW	48	17	28	45	12	30	10	57	205	67	171	8.29%	16	20.02	4	7	11	96	0	1	1	199	5	0	61.03%	1129	0	1	0	0.94	0	3
3	T.J. Tynan	Phantoms (PHI)	C	66	20	22	42	4	6	0	46	201	50	131	9.95%	11	19.80	3	7	10	175	0	1	1	162	4	1	55.79%	1545	0	0	0	0.64	1	3
4	Martin Frk	Phantoms (PHI)	LW/RW	66	18	22	40	14	56	0	100	233	59	174	7.73%	14	18.55	3	1	4	50	1	0	1	257	2	2	42.28%	123	0	0	1	0.65	0	4
5	Matt Donovan	Phantoms (PHI)	D	62	1	37	38	15	60	0	134	58	19	61	1.72%	85	20.88	0	7	7	127	0	1	1	161	1	0	0.00%	0	0	0	0	0.59	0	0
6	Matthew Benning	Phantoms (PHI)	D	67	4	34	38	5	10	0	41	91	42	65	4.40%	68	24.15	2	8	10	181	1	1	2	268	0	0	0.00%	0	0	0	0	0.47	0	0
7	Nicholas Abruzzese	Phantoms (PHI)	C/LW	68	10	24	34	0	16	0	42	153	36	140	6.54%	6	15.15	3	9	12	117	0	0	0	12	6	0	45.61%	114	0	0	0	0.66	0	1
8	Lane Pederson	Phantoms (PHI)	C/RW	68	12	17	29	3	73	5	159	145	45	107	8.28%	4	16.85	4	4	8	180	0	0	0	57	3	0	60.61%	462	0	0	0	0.51	1	2
9	Jeff Malott	Phantoms (PHI)	LW	68	14	13	27	2	46	0	112	181	54	128	7.73%	8	17.53	5	5	10	166	0	0	0	108	4	0	41.03%	117	0	0	0	0.45	1	1
10	Jacob Quillan	Phantoms (PHI)	C	68	9	13	22	-3	28	0	71	122	34	125	7.38%	13	14.06	0	0	0	1	0	0	0	11	2	0	54.10%	1048	0	0	0	0.46	0	0
11	Derrick Pouliot	Phantoms (PHI)	D	63	3	18	21	-1	36	0	127	57	16	36	5.26%	64	19.98	1	5	6	121	0	0	0	164	0	1	0.00%	0	0	0	0	0.33	0	0
12	Brendan Perlini	Phantoms (PHI)	LW	62	12	5	17	3	20	0	69	105	39	76	11.43%	10	11.39	0	0	0	6	0	0	0	51	1	0	49.23%	130	0	0	0	0.48	0	1
13	Bennett MacArthur	Phantoms (PHI)	LW	62	6	11	17	0	0	0	9	103	33	86	5.83%	3	13.48	0	0	0	0	0	0	0	1	3	0	48.91%	92	0	0	0	0.41	0	0
14	Hunter Drew	Phantoms (PHI)	D	52	6	7	13	10	96	0	177	35	17	31	17.14%	46	17.22	2	0	2	42	0	0	0	91	3	0	0.00%	0	0	0	0	0.29	0	0
15	Trevor Carrick	Phantoms (PHI)	D	62	2	10	12	-10	34	0	74	52	17	39	3.85%	63	18.70	0	2	2	116	0	0	0	163	0	1	0.00%	0	0	0	0	0.21	0	0
16	Devin Shore	Phantoms (PHI)	C	65	5	5	10	6	6	0	12	46	18	42	10.87%	4	7.39	0	0	0	14	0	0	0	10	0	0	55.85%	530	0	0	0	0.42	0	0
17	Vladislav Kolyachonok	Phantoms (PHI)	D	54	2	8	10	12	8	0	17	14	12	15	14.29%	38	15.08	1	1	2	9	0	0	0	31	0	0	0.00%	0	0	0	0	0.25	0	0
18	Brady Stonehouse	Phantoms (PHI)	RW	40	6	2	8	5	31	5	61	59	16	38	10.17%	4	10.29	2	0	2	26	0	0	0	0	1	0	23.33%	30	0	0	0	0.39	0	0
19	Robin Salo	Phantoms (PHI)	D	28	1	4	5	6	4	0	10	11	1	5	9.09%	16	13.75	0	0	0	0	0	0	0	9	1	0	0.00%	0	0	0	0	0.26	0	0
20	Nolan Burke	Phantoms (PHI)	C	44	0	1	1	1	2	0	1	8	2	5	0.00%	2	1.38	0	0	0	0	0	0	0	0	0	0	42.11%	57	0	0	0	0.33	0	0
21	Curtis Douglas	Phantoms (PHI)	C	26	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.12	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0	0.00	0	0
22	Nikita Nesterenko	Phantoms (PHI)	C/LW	18	0	0	0	1	2	0	1	2	0	1	0.00%	0	1.43	0	0	0	0	0	0	0	0	0	0	20.00%	5	0	0	0	0.00	0	0
23	Jeremie Biakabutuka	Phantoms (PHI)	D	2	0	0	0	0	0	0	2	0	0	1	0.00%	1	17.08	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0
24	Marc Gatcomb	Phantoms (PHI)	RW	1	0	0	0	-1	2	0	0	2	1	0	0.00%	0	10.98	0	0	0	0	0	0	0	0	0	0	100.00%	2	0	0	0	0.00	0	0
Team Total or Average			1226	171	306	477	96	628	30	1461	2049	626	1606	8.35%	485	15.41	37	64	101	1584	2	5	7	1852	37	9	55.21%	5718	0	1	2	0.50	3	16

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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Louis Domingue	Phantoms (PHI)	56	32	17	5	0.916	2.45	3207	4	5	131	1560	0	1	0.733	15	55	9	9	3	5
2	Adam Scheel	Phantoms (PHI)	18	9	4	0	0.920	2.23	806	0	0	30	377	0	0	1.000	3	12	46	0	0	3
3	Brandon Halverson	Phantoms (PHI)	2	0	1	0	0.936	1.67	108	0	0	3	47	0	0	0.000	0	1	13	0	0	0
Team Total or Average		76	41	22	5	0.917	2.39	4122	4	5	164	1984	0	1	0.778	18	68	68	9	3	8

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Adam Scheel	G	25	800,000$	800,000$	RFA
Amir Miftakhov	G	24	0$	RFA
Bennett MacArthur	LW	24	859,167$	859,167$	RFA
Brady Stonehouse	RW	20	845,000$	845,000$	845,000$	RFA
Brandon Halverson	G	29	850,000$	850,000$	850,000$	850,000$	UFA
Brendan Perlini	LW	28	775,000$	775,000$	775,000$	UFA
Curtis Douglas	C	25	800,000$	800,000$	800,000$	800,000$	UFA
Derrick Pouliot	D	31	850,000$	850,000$	850,000$	UFA
Devin Shore	C	30	775,000$	775,000$	UFA
Hunter Drew	D	26	800,000$	800,000$	800,000$	800,000$	UFA
Jacob Quillan	C	23	875,000$	875,000$	875,000$	RFA
Jeff Malott	LW	28	800,000$	800,000$	800,000$	800,000$	UFA
Jeremie Biakabutuka	D	23	825,000$	825,000$	825,000$	RFA
Jordan Frasca	C	23	859,167$	859,167$	RFA
Jujhar Khaira	C/LW	30	775,000$	775,000$	775,000$	UFA
Lane Pederson	C/RW	27	800,000$	800,000$	UFA
Louis Domingue	G	33	850,000$	850,000$	850,000$	UFA
Marc Gatcomb	RW	25	800,000$	800,000$	800,000$	800,000$	UFA
Mark Pysyk	D	33	775,000$	775,000$	775,000$	UFA
Martin Frk	LW/RW	31	850,000$	850,000$	UFA
Mason Shaw	C/LW	26	1,000,000$	1,000,000$	1,000,000$	UFA
Matt Donovan	D	34	775,000$	775,000$	775,000$	UFA
Matthew Benning	D	30	1,250,000$	1,250,000$	1,250,000$	UFA
Maxim Cajkovic	LW/RW	24	775,000$	775,000$	RFA
Nicholas Abruzzese	C/LW	25	850,000$	850,000$	850,000$	RFA
Nikita Nesterenko	C/LW	23	800,000$	800,000$	800,000$	800,000$	RFA
Nolan Burke	C	22	861,667$	861,667$	RFA
Peetro Seppala	D	24	800,000$	800,000$	800,000$	800,000$	RFA
Robin Salo	D	26	850,000$	850,000$	850,000$	UFA
Simon Johansson	D	25	800,000$	800,000$	800,000$	RFA
T.J. Tynan	C	33	800,000$	800,000$	800,000$	UFA
Trevor Carrick	D	30	775,000$	775,000$	775,000$	UFA
Tucker Robertson	C	21	870,000$	870,000$	870,000$	RFA
Vladislav Kolyachonok	D	23	900,000$	900,000$	900,000$	900,000$	RFA
Will Cranley	G	23	775,000$	775,000$	RFA
Zach Dean	C	22	883,333$	883,333$	RFA

Lines

Forward Lines
# - Nicholas Abruzzese	# - Jujhar Khaira
# - Jeff Malott	# - T.J. Tynan	# - Lane Pederson
# - Bennett MacArthur	# - Jacob Quillan	# - Marc Gatcomb
# - Nikita Nesterenko	# - Devin Shore	# - Brady Stonehouse

Defensive Pairings
# - Matthew Benning	# - Matt Donovan
# - Trevor Carrick	# - Derrick Pouliot
# - Hunter Drew	# - Vladislav Kolyachonok

1st Power Play Unit
# - Nicholas Abruzzese		# - Jujhar Khaira
# - Matthew Benning			# - Matt Donovan

2nd Power Play Unit
# - Jeff Malott		# - T.J. Tynan		# - Lane Pederson
# - Trevor Carrick			# - Derrick Pouliot

Goalies
# - Adam Scheel		# - Louis Domingue

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	1	0	0	0	0	3	5	-2	0	0.000	3	5	8	0	0	74	40	58	11	31	727	655	727	57	29	8	8	25	3	0	0.00%	3	2	33.33%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	50.0%	9.7%	82.8%	92.4	FUN
2	Comets	2	0	1	1	0	0	0	6	6	0	2	0.500	6	9	15	0	0	74	40	58	11	70	727	655	727	57	57	15	24	43	6	2	33.33%	11	1	90.91%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	44.4%	8.6%	89.5%	98.0	Unlucky
3	Senators	2	1	1	0	0	0	0	4	4	0	2	0.500	4	8	12	1	1	74	40	58	11	51	727	655	727	57	69	23	20	51	6	2	33.33%	10	1	90.00%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	40.0%	7.8%	94.2%	102.0	DULL
4	Islanders	4	3	0	1	0	0	0	15	8	7	8	1.000	15	24	39	0	0	74	40	58	11	127	727	655	727	57	104	28	24	74	17	1	5.88%	12	0	100.00%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	63.6%	11.8%	92.3%	104.1	LUCKY
5	Wolves	1	1	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	74	40	58	11	22	727	655	727	57	23	10	10	19	5	1	20.00%	5	0	100.00%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	50.0%	13.6%	91.3%	104.9	LUCKY
6	Eagles	1	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	74	40	58	11	31	727	655	727	57	19	9	8	24	2	1	50.00%	4	1	75.00%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	66.7%	9.7%	89.5%	99.2	FUN
7	Wolf Pack	5	3	2	0	0	0	0	13	14	-1	6	0.600	13	25	38	0	0	74	40	58	11	146	727	655	727	57	147	42	63	118	10	2	20.00%	23	7	69.57%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	61.1%	8.9%	90.5%	99.4	Unlucky
8	Griffins	3	1	2	0	0	0	0	6	9	-3	2	0.333	6	11	17	0	0	74	40	58	11	99	727	655	727	57	97	24	30	78	10	1	10.00%	14	4	71.43%	2	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	50.0%	6.1%	90.7%	96.8	Unlucky
9	Rocket	2	0	1	1	0	0	0	6	6	0	2	0.500	6	11	17	0	0	74	40	58	11	55	727	655	727	57	60	13	22	40	5	1	20.00%	11	2	81.82%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	55.6%	10.9%	90.0%	100.9	FUN
10	Bears	5	2	2	0	0	1	0	11	12	-1	6	0.600	11	19	30	0	1	74	40	58	11	159	727	655	727	57	130	45	52	104	18	3	16.67%	19	4	78.95%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	50.0%	6.9%	90.8%	97.7	Unlucky
11	Wild	3	1	2	0	0	0	0	4	7	-3	2	0.333	4	7	11	0	0	74	40	58	11	96	727	655	727	57	97	22	26	69	5	0	0.00%	12	1	91.67%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	40.0%	4.2%	92.8%	97.0	DULL
12	Canucks	2	1	0	0	0	0	1	7	5	2	3	0.750	7	12	19	0	0	74	40	58	11	63	727	655	727	57	50	7	18	40	7	2	28.57%	8	1	87.50%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	55.6%	11.1%	90.0%	101.1	FUN
13	Reign	1	1	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	74	40	58	11	47	727	655	727	57	28	8	2	30	9	1	11.11%	1	0	100.00%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	50.0%	4.3%	96.4%	100.7	DULL
14	Admirals	1	1	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	74	40	58	11	36	727	655	727	57	16	12	12	24	1	0	0.00%	6	1	83.33%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	100.0%	5.6%	93.8%	99.3	DULL
15	Crunch	2	0	0	1	1	0	0	7	7	0	3	0.750	7	13	20	0	0	74	40	58	11	55	727	655	727	57	58	19	21	46	3	0	0.00%	7	0	100.00%	1	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	50.0%	12.7%	87.9%	100.7	FUN
16	Condors	1	0	0	0	0	1	0	3	2	1	2	1.000	3	2	5	0	0	74	40	58	11	43	727	655	727	57	34	11	12	28	2	1	50.00%	6	2	66.67%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	100.0%	7.0%	94.1%	101.1	DULL
17	Thunderbirds	3	0	2	1	0	0	0	7	11	-4	2	0.333	7	14	21	0	0	74	40	58	11	90	727	655	727	57	79	21	22	76	9	1	11.11%	11	2	81.82%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	40.0%	7.8%	86.1%	93.9	Unlucky
18	Roadrunners	2	1	1	0	0	0	0	4	5	-1	2	0.500	4	8	12	0	0	74	40	58	11	62	727	655	727	57	63	13	16	54	4	1	25.00%	8	1	87.50%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	42.9%	6.5%	92.1%	98.5	DULL
19	Bruins	4	3	1	0	0	0	0	11	9	2	6	0.750	11	20	31	0	0	74	40	58	11	135	727	655	727	57	110	29	33	90	13	3	23.08%	14	1	92.86%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	50.0%	8.1%	91.8%	100.0	DULL
20	Americans	2	1	1	0	0	0	0	3	5	-2	2	0.500	3	4	7	0	0	74	40	58	11	57	727	655	727	57	62	14	33	52	7	0	0.00%	7	1	85.71%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	42.9%	5.3%	91.9%	97.2	DULL
21	IceHogs	1	1	0	0	0	0	0	5	2	3	2	1.000	5	9	14	0	0	74	40	58	11	35	727	655	727	57	35	11	16	29	4	2	50.00%	6	0	100.00%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	60.0%	14.3%	94.3%	108.6	LUCKY
22	Checkers	4	3	0	0	0	0	1	15	5	10	7	0.875	15	28	43	0	1	74	40	58	11	144	727	655	727	57	129	38	30	94	10	2	20.00%	15	1	93.33%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	76.5%	10.4%	96.1%	106.5	LUCKY
23	Monsters	2	0	0	0	1	1	0	7	7	0	3	0.750	7	11	18	0	0	74	40	58	11	76	727	655	727	57	79	15	30	60	8	3	37.50%	14	3	78.57%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	50.0%	9.2%	91.1%	100.3	Unlucky
24	Moose	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	74	40	58	11	39	727	655	727	57	22	5	2	20	2	0	0.00%	1	0	100.00%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	33.3%	5.1%	81.8%	86.9	Unlucky
25	Gulls	1	0	1	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	74	40	58	11	31	727	655	727	57	38	8	14	27	0	0	0.00%	6	2	66.67%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	25.0%	3.2%	86.8%	90.1	Unlucky
26	Stars	1	1	0	0	0	0	0	5	2	3	2	1.000	5	10	15	0	0	74	40	58	11	42	727	655	727	57	35	6	10	12	2	1	50.00%	4	0	100.00%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	66.7%	11.9%	94.3%	106.2	LUCKY
27	Marlies	2	0	2	0	0	0	0	2	6	-4	0	0.000	2	3	5	0	0	74	40	58	11	45	727	655	727	57	63	15	38	44	9	1	11.11%	18	5	72.22%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	50.0%	4.4%	90.5%	94.9	Unlucky
28	Penguins	5	4	1	0	0	0	0	11	4	7	8	0.800	11	21	32	0	2	74	40	58	11	145	727	655	727	57	137	31	38	119	14	2	14.29%	19	3	84.21%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	90.0%	7.6%	97.1%	104.7	DULL
29	Barracuda	1	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	74	40	58	11	23	727	655	727	57	35	8	12	11	3	0	0.00%	6	0	100.00%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	60.0%	13.0%	94.3%	107.3	LUCKY
30	Silver Knights	1	1	0	0	0	0	0	5	4	1	2	1.000	5	9	14	0	0	74	40	58	11	31	727	655	727	57	27	5	8	31	4	2	50.00%	3	0	100.00%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	42.9%	16.1%	85.2%	101.3	FUN
31	Firebirds	2	1	0	0	1	0	0	6	5	1	3	0.750	6	12	18	0	0	74	40	58	11	63	727	655	727	57	53	12	25	43	5	2	40.00%	9	1	88.89%	0	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	50.0%	9.5%	90.6%	100.1	FUN
	_Vs Division	21	18	8	2	0	1	1	54	51	3	43	1.024	54	98	152	1	2	74	40	58	11	641	727	655	727	57	648	175	227	495	63	10	15.87%	96	15	84.38%	3	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	55.0%	8.4%	92.1%	100.6	DULL
	_Vs Conference	47	21	16	5	2	2	1	124	113	11	59	0.628	124	221	345	1	5	74	40	58	11	1454	727	655	727	57	1381	372	480	1089	145	24	16.55%	205	35	82.93%	3	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	56.2%	8.5%	91.8%	100.3	DULL
	_Since Last GM Reset	68	31	22	7	3	3	2	182	167	15	87	0.640	182	327	509	1	5	74	40	58	11	2149	727	655	727	57	1985	527	679	1575	203	38	18.72%	293	47	83.96%	3	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	54.5%	8.5%	91.6%	100.1	DULL
	Total	68	31	22	7	3	3	2	182	167	15	87	0.640	182	327	509	1	5	74	40	58	11	2149	727	655	727	57	1985	527	679	1575	203	38	18.72%	293	47	83.96%	3	1316	2387	55.13%	1332	2350	56.68%	526	958	54.91%	1725	1178	1491	514	907	463	54.5%	8.5%	91.6%	100.1	DULL

	Puck Time
Offensive Zone	25
Neutral Zone	13
Defensive Zone	21

	Puck Time
Offensive Zone Start	2387
Neutral Zone Start	958
Defensive Zone Start	2350

	Puck Time
With Puck	31
Without Puck	28

	Faceoffs
Faceoffs Won	3174
Faceoffs Lost	2521

	Team Average Shots after	League Average Shots after
1st Period	10.7	9.57
2nd Period	20.3	20.31
3rd Period	31.0	30.68
Overtime	31.9	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.1	0.64
2nd Period	1.7	1.65
3rd Period	2.5	2.67
Overtime	2.7	2.83


Even Strenght Goal	140
PP Goal	38
PK Goal	3
Empty Net Goal	1

	Home	Away
Win	18	23
Lost	12	10
Overtime Lost	3	2


PP Attempt	203
PP Goal	38
PK Attempt	293
PK Goal Against	47

	Home
Shots For	31.6
Shots Against	29.2
Goals For	2.7
Goals Against	2.5
Hits	23.2
Shots Blocked	7.8
Pim	10.0

Schedule

Date	Matchup			Result	Detail
2024-10-06	Phantoms	@	Wild	Phantoms3,Wild1	RECAP
2024-10-09	Wolf Pack	@	Phantoms	Wolf Pack3,Phantoms4	RECAP
2024-10-10	Phantoms	@	Bears	Phantoms3,Bears1	RECAP
2024-10-12	Penguins	@	Phantoms	Penguins2,Phantoms0	RECAP
2024-10-16	Bruins	@	Phantoms	Bruins3,Phantoms4	RECAP
2024-10-21	Penguins	@	Phantoms	Penguins0,Phantoms3	RECAP
2024-10-25	Thunderbirds	@	Phantoms	Thunderbirds5,Phantoms1	RECAP
2024-10-26	Phantoms	@	Wolf Pack	Phantoms3,Wolf Pack5	RECAP
2024-10-29	Phantoms	@	Rocket	Phantoms3,Rocket4	RECAP
2024-10-31	Phantoms	@	Checkers	Phantoms3,Checkers0	RECAP
2024-11-01	Checkers	@	Phantoms	Checkers1,Phantoms5	RECAP
2024-11-03	Islanders	@	Phantoms	Islanders2,Phantoms3 (OT)	RECAP
2024-11-06	Phantoms	@	Griffins	Phantoms3,Griffins2	RECAP
2024-11-08	Roadrunners	@	Phantoms	Roadrunners2,Phantoms3	RECAP
2024-11-12	Phantoms	@	Comets	Phantoms0,Comets1	RECAP
2024-11-13	Griffins	@	Phantoms	Griffins4,Phantoms3	RECAP
2024-11-15	Phantoms	@	Marlies	Phantoms1,Marlies2	RECAP
2024-11-16	Condors	@	Phantoms	Condors2,Phantoms3 (SO)	RECAP
2024-11-19	Phantoms	@	Americans	Phantoms0,Americans3	RECAP
2024-11-22	Penguins	@	Phantoms	Penguins0,Phantoms3	RECAP
2024-11-24	Phantoms	@	Wolves	Phantoms3,Wolves2	RECAP
2024-11-25	Phantoms	@	Penguins	Phantoms3,Penguins1	RECAP
2024-11-26	Thunderbirds	@	Phantoms	Thunderbirds3,Phantoms2	RECAP
2024-11-28	Phantoms	@	Bruins	Phantoms4,Bruins2	RECAP
2024-12-01	Phantoms	@	Silver Knights	Phantoms5,Silver Knights4	RECAP
2024-12-03	IceHogs	@	Phantoms	IceHogs2,Phantoms5	RECAP
2024-12-05	Phantoms	@	Reign	Phantoms2,Reign1	RECAP
2024-12-07	Phantoms	@	Checkers	Phantoms6,Checkers2	RECAP
2024-12-10	Islanders	@	Phantoms	Islanders1,Phantoms3	RECAP
2024-12-13	Phantoms	@	Griffins	Phantoms0,Griffins3	RECAP
2024-12-14	Admirals	@	Phantoms	Admirals1,Phantoms2	RECAP
2024-12-18	Phantoms	@	Firebirds	Phantoms3,Firebirds4 (OT)	RECAP
2024-12-22	Checkers	@	Phantoms	Checkers2,Phantoms1 (SO)	RECAP
2024-12-24	Phantoms	@	Monsters	Phantoms5,Monsters4 (SO)	RECAP
2024-12-26	Phantoms	@	Eagles	Phantoms3,Eagles2 (OT)	RECAP
2024-12-27	Monsters	@	Phantoms	Monsters3,Phantoms2 (OT)	RECAP
2024-12-30	Phantoms	@	Wolf Pack	Phantoms2,Wolf Pack1	RECAP
2025-01-01	Roadrunners	@	Phantoms	Roadrunners3,Phantoms1	RECAP
2025-01-03	Phantoms	@	Wranglers	Phantoms3,Wranglers5	RECAP
2025-01-06	Stars	@	Phantoms	Stars2,Phantoms5	RECAP
2025-01-07	Phantoms	@	Penguins	Phantoms2,Penguins1	RECAP
2025-01-09	Marlies	@	Phantoms	Marlies4,Phantoms1	RECAP
2025-01-13	Phantoms	@	Bruins	Phantoms0,Bruins2	RECAP
2025-01-15	Phantoms	@	Senators	Phantoms2,Senators0	RECAP
2025-01-16	Bruins	@	Phantoms	Bruins2,Phantoms3	RECAP
2025-01-22	Phantoms	@	Wild	Phantoms0,Wild3	RECAP
2025-01-23	Wolf Pack	@	Phantoms	Wolf Pack4,Phantoms2	RECAP
2025-01-25	Comets	@	Phantoms	Comets5,Phantoms6 (OT)	RECAP
2025-01-28	Phantoms	@	Rocket	Phantoms3,Rocket2 (OT)	RECAP
2025-01-29	Canucks	@	Phantoms	Canucks4,Phantoms3 (SO)	RECAP
2025-02-02	Americans	@	Phantoms	Americans2,Phantoms3	RECAP
2025-02-04	Phantoms	@	Barracuda	Phantoms3,Barracuda2 (OT)	RECAP
2025-02-09	Gulls	@	Phantoms	Gulls5,Phantoms1	RECAP
2025-02-11	Phantoms	@	Wolf Pack	Phantoms2,Wolf Pack1	RECAP
2025-02-12	Moose	@	Phantoms	Moose4,Phantoms2	RECAP
2025-02-15	Phantoms	@	Islanders	Phantoms3,Islanders1	RECAP
2025-02-17	Crunch	@	Phantoms	Crunch3,Phantoms4 (OT)	RECAP
2025-02-19	Phantoms	@	Crunch	Phantoms3,Crunch4 (OT)	RECAP
2025-02-22	Wild	@	Phantoms	Wild3,Phantoms1	RECAP
2025-02-26	Phantoms	@	Islanders	Phantoms6,Islanders4	RECAP
2025-02-27	Bears	@	Phantoms	Bears0,Phantoms1	RECAP
2025-03-02	Phantoms	@	Bears	Phantoms1,Bears4	RECAP
2025-03-03	Phantoms	@	Canucks	Phantoms4,Canucks1	RECAP
2025-03-04	Firebirds	@	Phantoms	Firebirds1,Phantoms3	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
2025-03-09	Senators	@	Phantoms	Senators4,Phantoms2	RECAP
2025-03-13	Phantoms	@	Thunderbirds	Phantoms4,Thunderbirds3 (OT)	RECAP
2025-03-14	Phantoms	@	Bears	Phantoms3,Bears2 (SO)	RECAP
2025-03-16	Bears	@	Phantoms	Bears5,Phantoms3	RECAP
2025-03-19	Phantoms	@	Thunderbirds
2025-03-21	Reign	@	Phantoms
2025-03-26	Rocket	@	Phantoms
2025-04-03	Reign	@	Phantoms

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,747,834$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Lehigh Valley
	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
3	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,747,834$	2,747,834$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
3,515,502$	15,098$	2,614,462$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	32	20,592$	370,656$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
370,656$	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

Mason Shaw is out for 3 weeks because of a Sprained Right Finger Injury.

Martin Frk is out for 6 days because of a Sprained Right Finger Injury.

Game Center

Phantoms41-22-5, 87pts

32Final

Bears38-26-3, 79pts

53Final

Phantoms41-22-5, 87pts

Bears38-26-3, 79pts

Mon, Mar 17

Phantoms41-22-5, 87pts

Wolf Pack31-30-6, 68pts

Thu, Oct 10

Phantoms41-22-5, 87pts

Fri, Oct 11

Bears38-26-3, 79pts

TRANSACTIONS

Team Info


	Head Coach	Darryl Sutter
	Division	Atlantic
	City	Lehigh Valley
	Stadium Capacity	3,000

Phantoms Affiliation


	General Manager	Pierre-Etienne Jobin
	Head Coach	Drew Bannister
	Stadium	Wells Fargo Center
	Capacity	18,000

Team Leaders

GOALS Mason Shaw Phantoms	23 GOALS
POINTS Mason Shaw Phantoms	48 POINTS
WINS Louis Domingue Phantoms	32 WINS
Expanded Player Leaderboard

Team Stats

Goals For 182 2.68 GFG	Goals Against 167 2.46 GAA
Power Play Percentage 18.7% 38 GF	Penalty Kill Percentage 84.0% 47 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain