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
Cameron Hughes	53	C/LW	100.00	73	40	69	62	71	71	86	64	68	68	59	67	64	70	67	0	44	75	27	775,000$/1yrs
Nathan Walker	0	LW	100.00	74	45	84	58	70	72	78	63	77	67	59	70	61	75	74	0	46	75	30	825,000$/1yrs
Gerald Mayhew	0	C/RW	100.00	82	40	55	58	61	64	60	58	65	61	61	70	61	75	71	0	19	73	31	775,000$/1yrs
Brandon Gignac	51	C	100.00	66	39	81	61	71	70	84	63	69	64	60	67	62	68	66	0	49	73	26	775,000$/1yrs
Olivier Nadeau (R)	0	RW	100.00	74	41	71	64	81	69	60	60	66	63	63	64	63	58	55	0	11	73	21	836,667$/3yrs
Mitchell Stephens	0	C	100.00	67	39	78	58	73	68	84	63	71	59	60	66	60	68	66	0	47	72	27	1,000,000$/1yrs
Joona Koppanen	19	C	100.00	65	39	83	56	81	67	86	62	72	60	55	67	57	66	65	0	53	71	26	800,000$/2yrs
Austin Rueschhoff	0	RW	100.00	72	42	70	54	95	65	84	64	69	56	54	67	55	68	65	0	44	71	26	775,000$/1yrs
Shane Wright (R)	0	C	100.00	59	37	91	63	76	68	71	62	51	60	65	62	62	56	55	0	28	71	20	950,000$/2yrs
Scott Reedy	0	C	100.00	61	39	89	57	84	66	82	62	72	56	58	65	57	64	63	0	44	70	25	850,000$/2yrs
Justin Sourdif (R)	0	C/RW	100.00	73	39	69	59	67	65	82	59	62	60	56	62	58	59	56	0	49	70	22	847,500$/2yrs
James Malatesta (R)	0	LW	100.00	80	41	59	60	71	65	71	58	66	56	61	61	59	57	53	0	19	70	20	841,667$/3yrs
Andre Lee	0	LW	100.00	71	41	73	53	84	62	83	61	66	52	54	65	53	63	60	0	17	69	23	883,000$/1yrs
Travis Dermott	0	D	100.00	65	33	88	57	78	84	81	64	30	63	50	81	57	70	69	0	17	77	27	800,000$/1yrs
Mark Friedman	0	D	100.00	77	44	72	55	71	78	74	60	30	62	58	70	59	72	69	0	44	74	28	775,000$/1yrs
Cam Dineen	12	D	100.00	60	38	91	58	72	68	87	55	30	64	54	67	59	66	65	0	49	72	25	800,000$/2yrs
Lian Bichsel (R)	0	D	100.00	98	46	50	55	95	64	69	52	30	61	52	61	56	56	51	0	35	70	19	950,000$/3yrs
Simon Lundmark	0	D	100.00	60	39	90	50	80	63	86	49	30	56	51	65	54	63	62	0	50	67	23	850,333$/1yrs
Nolan Allan (R)	0	D	100.00	64	39	84	49	78	61	72	48	30	54	50	62	52	57	56	0	25	65	20	847,500$/2yrs
Scratches
Joel Kiviranta	0	LW/RW	100.00	75	32	82	57	71	75	85	63	58	60	67	75	65	72	70	0	20	76	28
Markus Nurmi	0	LW/RW	100.00	63	39	89	64	85	71	60	62	38	64	65	65	65	67	68	0	20	75	25
Colt Conrad	72	C	100.00	70	38	82	61	69	70	60	61	70	64	61	66	62	68	70	0	20	74	26
Mitchell Balmas	0	C	100.00	60	37	93	58	66	67	60	58	35	56	61	67	58	66	67	0	20	71	26
Jermaine Loewen	0	RW	100.00	86	44	50	51	89	62	79	63	40	52	51	67	52	66	61	0	20	69	26
Filip Cederqvist (R)	0	LW	100.00	66	40	80	56	82	64	83	61	70	56	55	64	55	63	61	0	25	69	23	775,000$/1yrs
Karl Henriksson (R)	0	C	100.00	60	37	90	55	66	63	88	60	65	54	54	64	54	61	60	0	20	68	23	775,000$/1yrs
Alexander Kisakov (R)	0	LW	100.00	63	38	85	55	64	62	81	59	71	52	55	63	53	59	58	0	20	67	21	775,000$/1yrs
Isaac Belliveau (R)	0	D	94.79	76	40	68	61	75	67	60	59	60	62	57	63	59	58	54	0	41	72	21	875,000$/3yrs
Brandon Fortunato	57	D	100.00	65	38	82	54	66	59	60	56	65	58	50	70	54	68	66	0	20	71	27
Filip Johansson (R)	0	D	100.00	61	38	89	50	71	63	70	49	30	56	52	65	54	63	61	0	20	67	24

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
Arvid Holm	0	100.00	74	80	71	85	66	76	75	74	76	74	75	67	69	0	47	79	25	775,000$/1yrs
Hunter Jones	0	100.00	70	63	68	80	68	75	71	70	75	74	72	64	67	0	18	75	23	787,000$/1yrs
Scratches
Alexei Kolosov	0	100.00	85	90	80	74	95	83	85	85	83	84	84	61	62	0	36	86	22	925,000$/3yrs
Zachary Sawchenko	36	100.00	68	57	67	74	69	73	70	68	73	72	70	67	71	0	54	74	26	775,000$/1yrs
Zachary Emond	0	100.00	67	54	65	74	66	71	67	67	71	71	68	62	66	0	19	72	23	775,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Travis Green	74	77	74	79	75	70	75	CAN	51	2	500,000$

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	Mitchell Stephens	Stars (DAL)	C	62	14	27	41	-8	14	0	61	183	59	133	7.65%	13	20.47	1	11	12	145	0	0	0	96	2	0	52.92%	1217	0	0	0	0.65	2	3
2	Cameron Hughes	Stars (DAL)	C/LW	58	18	20	38	-12	33	5	118	196	53	141	9.18%	17	22.02	4	3	7	157	0	0	0	88	2	2	52.16%	347	0	0	0	0.60	2	4
3	Shane Wright	Stars (DAL)	C	62	17	19	36	18	2	0	12	163	40	114	10.43%	16	17.13	4	5	9	146	0	1	1	130	1	1	46.65%	731	0	1	0	0.68	0	0
4	Cam Dineen	Stars (DAL)	D	63	10	24	34	-5	22	0	20	73	29	51	13.70%	76	22.53	5	5	10	133	1	0	1	140	1	1	0.00%	1	0	0	0	0.48	0	0
5	Nathan Walker	Stars (DAL)	LW	61	15	16	31	2	37	5	94	188	50	152	7.98%	17	20.37	2	2	4	137	0	0	0	122	3	1	53.77%	385	0	0	0	0.50	2	4
6	Brandon Gignac	Stars (DAL)	C	59	11	19	30	3	6	0	34	147	38	114	7.48%	9	16.31	0	4	4	42	0	2	2	37	1	3	55.36%	233	0	0	1	0.62	1	1
7	Simon Lundmark	Stars (DAL)	D	63	4	23	27	14	14	0	26	57	15	34	7.02%	84	20.85	3	5	8	170	0	0	0	145	1	0	0.00%	0	0	0	0	0.41	0	0
8	Mark Friedman	Stars (DAL)	D	70	5	20	25	-24	95	15	235	95	25	66	5.26%	124	23.25	3	2	5	189	0	0	0	141	1	1	0.00%	0	0	0	0	0.31	0	0
9	Gerald Mayhew	Stars (DAL)	C/RW	53	12	11	23	0	40	0	164	103	23	84	11.65%	14	20.10	1	4	5	116	2	0	2	64	4	2	51.22%	205	0	0	0	0.43	0	0
10	Isaac Belliveau	Stars (DAL)	D	62	1	22	23	5	22	0	59	46	13	41	2.17%	60	17.53	0	1	1	56	0	1	1	104	0	0	0.00%	0	0	0	0	0.42	0	0
11	Austin Rueschhoff	Stars (DAL)	RW	62	8	14	22	5	31	5	97	94	23	75	8.51%	20	14.96	2	4	6	110	0	0	0	30	3	0	51.41%	249	0	0	0	0.47	0	1
12	Olivier Nadeau	Stars (DAL)	RW	50	4	14	18	-3	34	10	63	95	28	63	4.21%	6	11.80	1	2	3	55	1	1	2	15	2	0	48.21%	112	0	0	0	0.61	0	0
13	Travis Dermott	Stars (DAL)	D	26	4	13	17	-7	6	0	35	26	9	29	15.38%	36	20.06	3	4	7	64	0	0	0	17	0	0	0.00%	0	0	0	0	0.65	0	0
14	Joona Koppanen	Stars (DAL)	C	63	8	6	14	1	7	5	9	67	15	37	11.94%	5	5.65	0	1	1	31	0	0	0	7	2	0	53.30%	394	0	0	0	0.79	0	0
15	Lian Bichsel	Stars (DAL)	D	62	2	11	13	1	77	5	190	31	14	31	6.45%	54	17.02	1	3	4	71	0	0	0	68	0	0	0.00%	0	0	0	0	0.25	0	0
16	Scott Reedy	Stars (DAL)	C	53	4	7	11	6	2	0	6	58	15	29	6.90%	4	6.84	0	0	0	2	0	0	0	0	1	0	56.33%	300	0	0	0	0.61	0	0
17	Nolan Allan	Stars (DAL)	D	39	2	9	11	14	24	0	89	16	9	18	12.50%	33	18.24	1	2	3	70	0	0	0	40	0	0	0.00%	0	0	0	0	0.31	0	0
18	Justin Sourdif	Stars (DAL)	C/RW	57	3	7	10	-3	10	0	63	68	13	45	4.41%	2	9.83	1	0	1	21	0	0	0	0	1	0	51.35%	37	0	0	0	0.36	0	0
19	Filip Cederqvist	Stars (DAL)	LW	30	0	1	1	-4	0	0	12	21	3	15	0.00%	1	4.55	0	0	0	19	0	0	0	12	0	0	60.00%	5	0	0	0	0.15	0	0
20	James Malatesta	Stars (DAL)	LW	33	0	1	1	1	2	0	2	1	1	1	0.00%	0	0.27	0	0	0	4	0	1	1	0	0	0	0.00%	0	0	0	0	2.27	0	0
21	Andre Lee	Stars (DAL)	LW	11	0	0	0	0	2	0	0	2	0	4	0.00%	0	1.50	0	0	0	3	0	0	0	5	0	0	0.00%	0	0	0	0	0.00	0	0
22	Alexander Kisakov	Stars (DAL)	LW	2	0	0	0	0	0	0	1	0	0	0	0.00%	0	1.69	0	0	0	0	0	0	0	2	0	0	0.00%	0	0	0	0	0.00	0	0
Team Total or Average			1101	142	284	426	4	480	50	1390	1730	475	1277	8.21%	591	15.96	32	58	90	1749	4	6	10	1271	25	11	51.94%	4216	0	1	1	0.48	7	13

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	Alexei Kolosov	Stars (DAL)	24	15	7	2	0.920	2.42	1414	6	1	57	709	0	0	0	0.857	7	24	0	2	3	1
2	Zachary Sawchenko	Stars (DAL)	19	7	5	5	0.907	2.80	1051	0	1	49	527	0	0	0	0.500	6	18	36	2	2	0
3	Hunter Jones	Stars (DAL)	13	5	5	1	0.926	2.63	707	0	1	31	421	0	0	0	0.500	4	11	9	3	1	0
4	Arvid Holm	Stars (DAL)	11	3	6	2	0.925	2.49	651	0	0	27	358	0	2	0	0.000	0	10	12	1	2	1
Team Total or Average		67	30	23	10	0.919	2.57	3824	6	3	164	2015	0	2	0	0.647	17	63	57	8	8	2

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Alexander Kisakov	LW	21	775,000$	775,000$	RFA
Alexei Kolosov	G	22	925,000$	925,000$	925,000$	925,000$	RFA
Andre Lee	LW	23	883,000$	883,000$	RFA
Arvid Holm	G	25	775,000$	775,000$	RFA
Austin Rueschhoff	RW	26	775,000$	775,000$	RFA
Brandon Fortunato	D	27	0$	UFA
Brandon Gignac	C	26	775,000$	775,000$	RFA
Cam Dineen	D	25	800,000$	800,000$	800,000$	RFA
Cameron Hughes	C/LW	27	775,000$	775,000$	UFA
Colt Conrad	C	26	0$	RFA
Filip Cederqvist	LW	23	775,000$	775,000$	RFA
Filip Johansson	D	24	0$	RFA
Gerald Mayhew	C/RW	31	775,000$	775,000$	UFA
Hunter Jones	G	23	787,000$	787,000$	RFA
Isaac Belliveau	D	21	875,000$	875,000$	875,000$	875,000$	RFA
James Malatesta	LW	20	841,667$	841,667$	841,667$	841,667$	RFA
Jermaine Loewen	RW	26	0$	RFA
Joel Kiviranta	LW/RW	28	0$	UFA
Joona Koppanen	C	26	800,000$	800,000$	800,000$	UFA
Justin Sourdif	C/RW	22	847,500$	847,500$	847,500$	RFA
Karl Henriksson	C	23	775,000$	775,000$	RFA
Lian Bichsel	D	19	950,000$	950,000$	950,000$	950,000$	RFA
Mark Friedman	D	28	775,000$	775,000$	UFA
Markus Nurmi	LW/RW	25	0$	RFA
Mitchell Balmas	C	26	0$	RFA
Mitchell Stephens	C	27	1,000,000$	1,000,000$	UFA
Nathan Walker	LW	30	825,000$	825,000$	UFA
Nolan Allan	D	20	847,500$	847,500$	847,500$	RFA
Olivier Nadeau	RW	21	836,667$	836,667$	836,667$	836,667$	RFA
Scott Reedy	C	25	850,000$	850,000$	850,000$	RFA
Shane Wright	C	20	950,000$	950,000$	950,000$	RFA
Simon Lundmark	D	23	850,333$	850,333$	RFA
Travis Dermott	D	27	800,000$	800,000$	UFA
Zachary Emond	G	23	775,000$	775,000$	RFA
Zachary Sawchenko	G	26	775,000$	775,000$	RFA

Lines

Forward Lines
# - Justin Sourdif	# - Joona Koppanen	# - Cameron Hughes
# - Nathan Walker	# - Austin Rueschhoff	# - Olivier Nadeau
# - Gerald Mayhew	# - Scott Reedy	# - Shane Wright
# - Nathan Walker	# - Brandon Gignac	# - Gerald Mayhew

Defensive Pairings
# - Cam Dineen	# - Mark Friedman
# - Simon Lundmark	# - Lian Bichsel
# - Nolan Allan	# - Travis Dermott

1st Power Play Unit
# - Olivier Nadeau		# - Cameron Hughes		# - Joona Koppanen
# - Travis Dermott			# - Mark Friedman

2nd Power Play Unit
# - Shane Wright		# - Gerald Mayhew		# - Nathan Walker
# - Simon Lundmark			# - Cam Dineen

Goalies
# - Arvid Holm		# - Hunter Jones

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	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	Wolves	8	2	3	0	2	1	0	22	37	-15	8	0.500	22	40	62	0	60	62	46	9	256	630	761	665	53	343	79	42	173	37	7	18.92%	19	4	78.95%	0	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	31.3%	8.6%	89.2%	97.8	Unlucky
2	Eagles	4	3	1	0	0	0	0	13	7	6	6	0.750	13	24	37	0	60	62	46	9	135	630	761	665	53	129	36	24	109	12	0	0.00%	11	1	90.91%	0	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	68.4%	9.6%	94.6%	104.2	LUCKY
3	Griffins	8	4	2	1	1	0	0	29	25	4	11	0.688	29	53	82	0	60	62	46	9	248	630	761	665	53	232	73	44	181	30	4	13.33%	22	3	86.36%	1	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	53.2%	11.7%	89.2%	100.9	FUN
4	Wild	8	2	3	0	1	1	1	20	21	-1	8	0.500	20	35	55	0	60	62	46	9	213	630	761	665	53	282	83	87	170	18	5	27.78%	31	4	87.10%	0	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	46.9%	9.4%	92.6%	101.9	LUCKY
5	Admirals	8	2	4	0	1	0	1	16	33	-17	6	0.375	16	28	44	0	60	62	46	9	225	630	761	665	53	291	99	68	189	18	0	0.00%	24	3	87.50%	0	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	34.8%	7.1%	88.7%	95.8	Unlucky
6	Condors	4	3	1	0	0	0	0	10	8	2	6	0.750	10	18	28	1	60	62	46	9	130	630	761	665	53	122	31	22	95	15	3	20.00%	9	4	55.56%	0	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	63.6%	7.7%	93.4%	101.1	DULL
7	Roadrunners	4	1	3	0	0	0	0	3	24	-21	2	0.250	3	5	8	0	60	62	46	9	95	630	761	665	53	206	63	26	75	18	2	11.11%	13	3	76.92%	1	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	4.5%	3.2%	88.3%	91.5	Unlucky
8	IceHogs	8	2	3	1	2	0	0	21	30	-9	8	0.500	21	41	62	1	60	62	46	9	258	630	761	665	53	226	57	68	174	29	6	20.69%	25	12	52.00%	0	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	45.5%	8.1%	86.7%	94.9	Unlucky
9	Moose	6	2	4	0	0	0	0	14	19	-5	4	0.333	14	24	38	0	60	62	46	9	185	630	761	665	53	223	62	30	112	17	4	23.53%	16	4	75.00%	0	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	40.0%	7.6%	91.5%	99.0	DULL
10	Gulls	4	1	2	0	0	1	0	8	8	0	4	0.500	8	12	20	0	60	62	46	9	114	630	761	665	53	135	31	30	85	14	1	7.14%	10	0	100.00%	1	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	46.7%	7.0%	94.1%	101.1	DULL
11	Barracuda	4	2	2	0	0	0	0	8	5	3	4	0.500	8	13	21	1	60	62	46	9	137	630	761	665	53	148	41	39	66	14	3	21.43%	13	2	84.62%	0	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	62.5%	5.8%	96.6%	102.5	DULL
12	Firebirds	4	1	2	0	1	0	0	9	11	-2	3	0.375	9	17	26	0	60	62	46	9	97	630	761	665	53	114	29	22	84	11	0	0.00%	11	3	72.73%	1	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	52.9%	9.3%	90.4%	99.6	FUN
	_Vs Division	38	14	20	1	7	2	2	87	134	-47	43	0.566	87	157	244	1	60	62	46	9	1111	630	761	665	53	1357	400	303	829	112	17	15.18%	120	27	77.50%	1	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	39.5%	7.8%	90.1%	98.0	Unlucky
	_Vs Conference	62	21	28	1	7	3	2	144	203	-59	59	0.476	144	257	401	3	60	62	46	9	1845	630	761	665	53	2219	611	458	1332	203	31	15.27%	182	40	78.02%	3	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	40.9%	7.8%	90.9%	98.7	Unlucky
	_Since Last GM Reset	70	25	30	2	8	3	2	173	228	-55	70	0.500	173	310	483	3	60	62	46	9	2093	630	761	665	53	2451	684	502	1513	233	35	15.02%	204	43	78.92%	4	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	42.7%	8.3%	90.7%	99.0	Unlucky
	Total	70	25	30	2	8	3	2	173	228	-55	70	0.500	173	310	483	3	60	62	46	9	2093	630	761	665	53	2451	684	502	1513	233	35	15.02%	204	43	78.92%	4	1132	2319	48.81%	1270	2586	49.11%	530	1083	48.94%	1545	1029	1777	545	925	449	42.7%	8.3%	90.7%	99.0	Unlucky

	Puck Time
Offensive Zone	22
Neutral Zone	13
Defensive Zone	25

	Puck Time
Offensive Zone Start	2319
Neutral Zone Start	1083
Defensive Zone Start	2586

	Puck Time
With Puck	28
Without Puck	31

	Faceoffs
Faceoffs Won	2932
Faceoffs Lost	3056

	Team Average Shots after	League Average Shots after
1st Period	9.0	9.57
2nd Period	19.9	20.31
3rd Period	29.4	30.68
Overtime	30.1	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.9	0.64
2nd Period	1.7	1.65
3rd Period	2.4	2.67
Overtime	2.5	2.83


Even Strenght Goal	134
PP Goal	35
PK Goal	4
Empty Net Goal	0

	Home	Away
Win	16	14
Lost	13	17
Overtime Lost	5	5


PP Attempt	233
PP Goal	35
PK Attempt	204
PK Goal Against	43

	Home
Shots For	29.9
Shots Against	35.0
Goals For	2.5
Goals Against	3.3
Hits	21.6
Shots Blocked	9.8
Pim	7.2

Schedule

Date	Matchup			Result	Detail
2023-10-13	Roadrunners	@	Stars	Roadrunners10,Stars0	RECAP
2023-10-14	Roadrunners	@	Stars	Roadrunners10,Stars0	RECAP
2023-10-18	Stars	@	Wolves	Stars1,Wolves9	RECAP
2023-10-21	Stars	@	Admirals	Stars0,Admirals10	RECAP
2023-10-22	Stars	@	Wolves	Stars1,Wolves12	RECAP
2023-10-27	Moose	@	Stars	Moose6,Stars2	RECAP
2023-10-28	Moose	@	Stars	Moose5,Stars3	RECAP
2023-11-04	Stars	@	Wild	Stars4,Wild1	RECAP
2023-11-05	Stars	@	Wild	Stars3,Wild2 (SO)	RECAP
2023-11-08	Stars	@	IceHogs	Stars1,IceHogs0	RECAP
2023-11-10	Admirals	@	Stars	Admirals1,Stars3	RECAP
2023-11-11	Admirals	@	Stars	Admirals4,Stars2	RECAP
2023-11-17	Griffins	@	Stars	Griffins5,Stars1	RECAP
2023-11-18	Griffins	@	Stars	Griffins1,Stars5	RECAP
2023-11-24	Stars	@	Eagles	Stars3,Eagles1	RECAP
2023-11-25	Stars	@	Eagles	Stars5,Eagles1	RECAP
2023-11-29	Stars	@	Gulls	Stars0,Gulls2	RECAP
2023-12-01	Stars	@	Condors	Stars2,Condors1	RECAP
2023-12-02	Stars	@	Condors	Stars3,Condors4	RECAP
2023-12-08	Wolves	@	Stars	Wolves3,Stars2 (OT)	RECAP
2023-12-09	Wolves	@	Stars	Wolves3,Stars4 (SO)	RECAP
2023-12-13	Stars	@	Griffins	Stars7,Griffins5	RECAP
2023-12-15	Stars	@	Griffins	Stars3,Griffins2 (OT)	RECAP
2023-12-16	Stars	@	Wolves	Stars3,Wolves4	RECAP
2023-12-19	Griffins	@	Stars	Griffins1,Stars3	RECAP
2023-12-20	Griffins	@	Stars	Griffins2,Stars4	RECAP
2023-12-29	Stars	@	Moose	Stars2,Moose3	RECAP
2023-12-31	Stars	@	Moose	Stars2,Moose1	RECAP
2024-01-02	Stars	@	Wolves	Stars2,Wolves3 (OT)	RECAP
2024-01-05	IceHogs	@	Stars	IceHogs4,Stars2	RECAP
2024-01-06	IceHogs	@	Stars	IceHogs3,Stars4	RECAP
2024-01-13	Wolves	@	Stars	Wolves2,Stars6	RECAP
2024-01-14	Wolves	@	Stars	Wolves1,Stars3	RECAP
2024-01-19	Stars	@	Admirals	Stars1,Admirals5	RECAP
2024-01-20	Stars	@	Admirals	Stars2,Admirals3 (SO)	RECAP
2024-01-22	Stars	@	Wild	Stars2,Wild3 (SO)	RECAP
2024-01-24	Stars	@	Wild	Stars0,Wild2	RECAP
2024-01-26	Firebirds	@	Stars	Firebirds3,Stars2	RECAP
2024-01-27	Firebirds	@	Stars	Firebirds2,Stars1 (OT)	RECAP
2024-02-02	Condors	@	Stars	Condors0,Stars1	RECAP
2024-02-03	Condors	@	Stars	Condors3,Stars4	RECAP
2024-02-09	Stars	@	IceHogs	Stars2,IceHogs7	RECAP
2024-02-10	Stars	@	Admirals	Stars0,Admirals3	RECAP
2024-02-13	Stars	@	IceHogs	Stars2,IceHogs5	RECAP
2024-02-16	Wild	@	Stars	Wild1,Stars4	RECAP
2024-02-17	Wild	@	Stars	Wild4,Stars2	RECAP
2024-02-21	Stars	@	Griffins	Stars3,Griffins5	RECAP
2024-02-23	Stars	@	IceHogs	Stars4,IceHogs5 (OT)	RECAP
2024-02-24	Stars	@	Griffins	Stars3,Griffins4 (OT)	RECAP
2024-02-27	Gulls	@	Stars	Gulls1,Stars2 (SO)	RECAP
2024-02-28	Gulls	@	Stars	Gulls4,Stars2	RECAP
2024-03-02	Stars	@	Moose	Stars0,Moose2	RECAP
2024-03-03	Stars	@	Moose	Stars5,Moose2	RECAP
2024-03-08	Barracuda	@	Stars	Barracuda1,Stars4	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
2024-03-09	Barracuda	@	Stars	Barracuda2,Stars1	RECAP
2024-03-12	IceHogs	@	Stars	IceHogs2,Stars3 (OT)	RECAP
2024-03-13	IceHogs	@	Stars	IceHogs4,Stars3 (OT)	RECAP
2024-03-16	Stars	@	Roadrunners	Stars2,Roadrunners1	RECAP
2024-03-17	Stars	@	Roadrunners	Stars1,Roadrunners3	RECAP
2024-03-20	Stars	@	Firebirds	Stars4,Firebirds2	RECAP
2024-03-22	Stars	@	Gulls	Stars4,Gulls1	RECAP
2024-03-23	Stars	@	Firebirds	Stars2,Firebirds4	RECAP
2024-03-29	Wild	@	Stars	Wild4,Stars3 (OT)	RECAP
2024-03-30	Wild	@	Stars	Wild4,Stars2	RECAP
2024-04-02	Eagles	@	Stars	Eagles2,Stars3	RECAP
2024-04-03	Eagles	@	Stars	Eagles3,Stars2	RECAP
2024-04-06	Admirals	@	Stars	Admirals2,Stars4	RECAP
2024-04-07	Admirals	@	Stars	Admirals5,Stars4 (OT)	RECAP
2024-04-12	Stars	@	Barracuda	Stars2,Barracuda0	RECAP
2024-04-13	Stars	@	Barracuda	Stars1,Barracuda2	RECAP
2024-04-19	Moose	@	Stars
2024-04-20	Moose	@	Stars

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,139,367$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Texas
	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
2,139,367$	2,139,367$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,719,071$	10,971$	2,226,776$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	13,535$	40,605$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
40,605$	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

Carey Price is out for the rest of the season because of a Unknown.
Alexei Kolosov is suspended for 43 more games.
Colt Conrad is suspended for 43 more games.
Mitchell Balmas is suspended for 43 more games.
Markus Nurmi is suspended for 43 more games.

Isaac Belliveau is out for 1 days because of a Sprained Right Ankle Injury.

Game Center

Stars30-30-10, 70pts

20Final

Barracuda36-27-7, 79pts

Stars30-30-10, 70pts

12Final

Barracuda36-27-7, 79pts

Stars30-30-10, 70pts

Sun, Apr 14

Barracuda36-27-7, 79pts

Roadrunners46-21-3, 95pts

Sun, Oct 15

Stars30-30-10, 70pts

Thu, Oct 19

Wolves34-28-7, 75pts

TRANSACTIONS

Team Info


	Head Coach	Travis Green
	Division	Central
	City	Texas
	Stadium Capacity	3,000

Stars Affiliation


	General Manager	Mathieu Cloutier
	Head Coach	Rick Bowness
	Stadium	American Airlines Center
	Capacity	18,000

Team Leaders

GOALS Cameron Hughes Stars	18 GOALS
POINTS Mitchell Stephens Stars	41 POINTS
WINS Alexei Kolosov Stars	15 WINS
Expanded Player Leaderboard

Team Stats

Goals For 173 2.47 GFG	Goals Against 228 3.26 GAA
Power Play Percentage 15.0% 35 GF	Penalty Kill Percentage 78.9% 43 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain