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
Tye Felhaber	43	LW	99.00	85	42	50	56	72	67	71	65	40	57	58	68	58	70	65	0	40	71	27	800,000$/2yrs
Gage Goncalves	0	C	99.00	70	32	88	59	71	77	75	59	59	63	63	54	61	65	64	0	37	71	24	900,000$/2yrs
Daniil Gushchin	0	LW	99.00	61	31	87	64	61	77	67	59	60	59	58	62	58	63	62	0	39	70	23	900,000$/3yrs
Ryan Suzuki	0	C	100.00	62	39	88	59	75	67	70	62	66	62	57	65	59	65	63	0	20	70	24	800,000$/1yrs
Landon Slaggert	0	LW	100.00	66	37	81	59	71	76	73	57	55	60	57	63	57	62	61	0	39	69	23	800,000$/2yrs
Dylan Peterson (R)	0	C/LW/RW	100.00	85	43	50	56	83	65	67	62	42	54	57	65	56	64	59	0	39	69	23	850,000$/2yrs
Blade Jenkins	0	LW	100.00	62	39	88	53	78	63	66	63	47	54	52	67	53	66	65	0	40	68	25	800,000$/2yrs
Brooklyn Kalmikov	0	LW	100.00	63	38	89	64	72	69	60	60	47	55	55	61	63	59	58	0	39	68	24	800,000$/2yrs
Reid Schaefer (R)	0	LW	100.00	71	42	72	56	91	64	68	60	45	56	56	63	56	61	58	0	36	68	22	886,666$/2yrs
Caedan Bankier (R)	0	C	100.00	65	39	82	56	77	64	69	60	60	55	56	63	56	61	59	0	39	68	22	850,000$/3yrs
Francesco Pinelli (R)	0	C	97.00	65	39	82	56	74	63	70	60	44	54	56	63	55	61	59	0	38	67	22	845,000$/1yrs
Jakub Brabenec (R)	0	C	100.00	60	38	91	55	74	63	68	60	48	54	54	64	54	61	60	0	36	67	22	828,333$/1yrs
Emil Andrae	0	D	100.00	69	32	88	55	70	84	72	51	30	60	54	61	52	63	62	0	33	69	23	903,333$/1yrs
Ben Harpur	22	D	99.00	83	44	53	48	95	65	65	48	30	54	52	72	53	75	70	0	37	68	30	800,000$/2yrs
Connor Mayer	0	D	100.00	68	39	78	50	71	66	66	50	30	55	56	68	55	68	66	0	39	68	26	800,000$/2yrs
Dawson Barteaux (R)	0	D	100.00	60	38	91	50	77	64	66	49	30	56	52	67	54	66	65	0	37	67	25	800,000$/2yrs
Helge Grans (R)	0	D	100.00	66	40	81	49	83	63	67	48	30	54	52	65	53	63	61	0	35	66	23	787,500$/2yrs
Yan Kuznetsov	0	D	100.00	65	40	83	49	90	63	67	48	30	54	53	65	53	63	61	0	32	66	23	850,000$/2yrs
Victor Mete	0	D	100.00	65	37	82	48	68	63	75	46	30	53	46	65	49	66	64	0	24	65	27	850,000$/2yrs
Scratches
Adam Brooks	0	C	100.00	64	38	85	55	70	66	83	65	70	57	56	68	56	70	68	0	20	70	29	800,000$/1yrs
Ozzy Wiesblatt (R)	0	RW	100.00	73	40	69	53	70	61	82	60	42	52	50	63	51	59	56	0	32	65	23	800,000$/2yrs
Adam Sykora (R)	0	LW/RW	100.00	56	37	97	53	66	60	77	58	64	52	50	61	51	55	55	0	19	64	21	800,000$/2yrs
Isak Rosen (R)	0	RW	100.00	56	31	99	55	62	71	67	51	30	56	50	52	50	61	61	0	19	64	22	894,167$/1yrs
Albin Grewe (R)	0	LW	100.00	1	1	1	1	1	1	60	1	1	1	1	1	1	1	1	0	20	9	24	800,000$/3yrs
Case McCarthy (R)	0	D	100.00	57	38	95	46	78	61	65	46	30	51	50	66	51	64	64	0	19	64	24	800,000$/2yrs
Adam Jiricek (R)	0	D	100.00	58	38	96	53	74	57	74	48	30	53	50	52	52	53	53	0	19	63	19	975,000$/2yrs
Axel Andersson	58	D	100.00	64	38	85	44	70	59	71	43	30	48	46	65	47	62	61	0	20	62	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
Niklas Kokko	0	97.00	75	63	72	79	72	77	74	75	77	78	75	59	65	0	29	77	21	891,666$/2yrs
Keith Petruzzelli	0	100.00	66	61	66	78	63	74	68	66	74	72	69	69	67	0	32	73	26	850,000$/1yrs
Scratches
Dylan Wells	0	100.00	67	55	66	74	66	72	68	67	72	71	69	65	70	0	30	72	27	775,000$/1yrs
Jesper Wallstedt	0	100.00	60	62	66	87	57	60	60	60	60	61	60	61	64	0	34	67	23	2,200,000$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Gruden	68	70	76	68	78	75	58	USA	55	3	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	PKP	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS
1	Landon Slaggert	Checkers (FLA)	LW	21	7	9	16	5	0	0	4	53	21	43	13.21%	2	16.96	0	2	2	54	0	0	1	0	47.37%	19	0	0	0.90	0	0
2	Dylan Peterson	Checkers (FLA)	C/LW/RW	21	6	10	16	-1	16	0	58	71	15	50	8.45%	5	16.86	1	1	2	54	0	0	0	2	50.00%	224	0	0	0.90	0	0
3	Reid Schaefer	Checkers (FLA)	LW	21	7	5	12	3	11	5	28	60	15	44	11.67%	2	16.98	0	1	1	54	0	0	2	1	44.00%	25	0	0	0.67	0	0
4	Daniil Gushchin	Checkers (FLA)	LW	21	2	9	11	-4	4	0	13	59	22	54	3.39%	2	21.26	0	5	5	56	0	73	0	0	53.66%	41	0	0	0.49	0	0
5	Connor Mayer	Checkers (FLA)	D	21	1	9	10	4	18	0	45	24	3	22	4.17%	29	22.44	1	0	1	55	0	49	0	0	0.00%	0	0	0	0.42	0	0
6	Ben Harpur	Checkers (FLA)	D	18	2	7	9	0	26	0	59	20	5	13	10.00%	24	20.13	1	2	3	44	0	30	1	1	0.00%	0	0	0	0.50	0	0
7	Yan Kuznetsov	Checkers (FLA)	D	21	2	7	9	3	28	10	21	7	1	11	28.57%	19	15.52	0	0	0	2	0	19	0	0	0.00%	0	0	0	0.55	0	0
8	Gage Goncalves	Checkers (FLA)	C	9	7	2	9	3	2	0	13	31	12	15	22.58%	1	18.12	1	0	1	7	0	2	1	0	52.34%	214	0	1	1.10	0	1
9	Ryan Suzuki	Checkers (FLA)	C	9	3	3	6	3	2	0	0	13	4	18	23.08%	1	14.64	0	0	0	1	0	8	0	1	50.87%	173	0	0	0.91	0	0
10	Dawson Barteaux	Checkers (FLA)	D	18	1	4	5	-1	2	0	19	15	3	9	6.67%	22	16.06	0	0	0	6	0	12	0	0	0.00%	0	0	0	0.35	0	0
11	Francesco Pinelli	Checkers (FLA)	C	21	1	4	5	-4	2	0	28	33	5	28	3.03%	4	21.05	0	0	0	39	0	51	0	0	44.83%	116	0	0	0.23	0	0
12	Helge Grans	Checkers (FLA)	D	21	3	1	4	8	23	5	27	20	6	10	15.00%	20	19.53	1	0	1	43	0	52	0	0	0.00%	0	0	0	0.20	0	0
13	Brooklyn Kalmikov	Checkers (FLA)	LW	21	2	2	4	2	2	0	10	26	9	17	7.69%	0	11.69	0	0	0	0	0	3	0	0	40.81%	223	0	0	0.33	0	0
14	Caedan Bankier	Checkers (FLA)	C	21	1	3	4	2	8	0	20	37	10	24	2.70%	7	16.48	0	0	0	0	0	33	0	0	44.62%	65	0	0	0.23	0	0
15	Tye Felhaber	Checkers (FLA)	LW	18	0	2	2	-5	14	0	33	27	14	23	0.00%	1	12.56	0	0	0	3	0	16	0	0	44.52%	155	0	0	0.18	0	0
16	Emil Andrae	Checkers (FLA)	D	9	0	2	2	-7	14	0	20	17	0	3	0.00%	8	21.12	0	0	0	16	0	28	0	0	0.00%	0	0	0	0.21	0	0
17	Case McCarthy	Checkers (FLA)	D	3	0	2	2	-1	0	0	3	3	0	1	0.00%	9	18.95	0	0	0	5	0	7	0	0	0.00%	0	0	0	0.70	0	0
18	Blade Jenkins	Checkers (FLA)	LW	18	0	1	1	0	0	0	0	0	0	0	0.00%	0	0.31	0	1	1	0	0	4	0	0	0.00%	0	0	0	3.60	0	0
19	Victor Mete	Checkers (FLA)	D	3	0	0	0	0	0	0	1	0	0	0	0.00%	1	4.97	0	0	0	3	0	9	0	0	0.00%	0	0	0	0.00	0	0
20	Ozzy Wiesblatt	Checkers (FLA)	RW	9	0	0	0	0	0	0	1	1	0	0	0.00%	0	0.64	0	0	0	1	0	0	0	0	0.00%	0	0	0	0.00	0	0
21	Adam Sykora	Checkers (FLA)	LW/RW	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	1.59	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0
22	Isak Rosen	Checkers (FLA)	RW	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.66	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0
23	Jakub Brabenec	Checkers (FLA)	C	18	0	0	0	-2	0	0	2	9	1	8	0.00%	0	3.97	0	0	0	2	0	7	0	0	50.00%	16	0	0	0.00	1	1
24	Adam Jiricek	Checkers (FLA)	D	3	0	0	0	-3	0	0	2	0	1	0	0.00%	10	17.83	0	0	0	5	0	8	0	0	0.00%	0	0	0	0.00	0	0
Team Total or Average			351	45	82	127	5	172	20	407	526	147	393	8.56%	167	15.19	5	12	17	458	0	422	5	5	47.44%	1271	0	1	0.48	1	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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Niklas Kokko	Checkers (FLA)	18	6	9	1	0.905	3.13	959	0	50	528	0	0.600	5	18	3	2	1	1
2	Keith Petruzzelli	Checkers (FLA)	1	1	0	0	1.000	0.00	46	0	0	32	0	0.000	0	0	6	0	0	0
3	Jesper Wallstedt	Checkers (FLA)	3	1	2	0	0.910	3.98	181	0	12	133	0	0.000	0	3	0	0	0	0
Team Total or Average		22	8	11	1	0.911	3.13	1187	0	62	693	0	0.600	5	21	9	2	1	1

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Adam Brooks	C	29	800,000$	800,000$	UFA
Adam Jiricek	D	19	975,000$	975,000$	975,000$	RFA
Adam Sykora	LW/RW	21	800,000$	800,000$	800,000$	RFA
Albin Grewe	LW	24	800,000$	800,000$	800,000$	800,000$	RFA
Axel Andersson	D	25	800,000$	800,000$	800,000$	RFA
Ben Harpur	D	30	800,000$	800,000$	800,000$	UFA
Blade Jenkins	LW	25	800,000$	800,000$	800,000$	RFA
Brooklyn Kalmikov	LW	24	800,000$	800,000$	800,000$	RFA
Caedan Bankier	C	22	850,000$	850,000$	850,000$	850,000$	RFA
Case McCarthy	D	24	800,000$	800,000$	800,000$	RFA
Connor Mayer	D	26	800,000$	800,000$	800,000$	UFA
Daniil Gushchin	LW	23	900,000$	900,000$	900,000$	900,000$	RFA
Dawson Barteaux	D	25	800,000$	800,000$	800,000$	RFA
Dylan Peterson	C/LW/RW	23	850,000$	850,000$	850,000$	RFA
Dylan Wells	G	27	775,000$	775,000$	UFA
Dylan Wells	G	27	775,000$	775,000$	UFA
Emil Andrae	D	23	903,333$	903,333$	RFA
Francesco Pinelli	C	22	845,000$	845,000$	RFA
Gage Goncalves	C	24	900,000$	900,000$	900,000$	RFA
Helge Grans	D	23	787,500$	787,500$	787,500$	RFA
Isak Rosen	RW	22	894,167$	894,167$	RFA
Jakub Brabenec	C	22	828,333$	828,333$	RFA
Jesper Wallstedt	G	23	2,200,000$	2,200,000$	2,200,000$	RFA
Keith Petruzzelli	G	26	850,000$	850,000$	RFA
Landon Slaggert	LW	23	800,000$	800,000$	800,000$	RFA
Niklas Kokko	G	21	891,666$	891,666$	891,666$	RFA
Ozzy Wiesblatt	RW	23	800,000$	800,000$	800,000$	RFA
Reid Schaefer	LW	22	886,666$	886,666$	886,666$	RFA
Ryan Suzuki	C	24	800,000$	800,000$	RFA
Tye Felhaber	LW	27	800,000$	800,000$	800,000$	UFA
Victor Mete	D	27	850,000$	850,000$	850,000$	UFA
Yan Kuznetsov	D	23	850,000$	850,000$	850,000$	RFA

Lines

Forward Lines
# - Daniil Gushchin	# - Gage Goncalves	# - Francesco Pinelli
# - Landon Slaggert	# - Ryan Suzuki	# - Tye Felhaber
# - Reid Schaefer	# - Dylan Peterson	# - Caedan Bankier
# - Tye Felhaber	# - Gage Goncalves	# - Brooklyn Kalmikov

Defensive Pairings
# - Yan Kuznetsov	# - Ben Harpur
# - Connor Mayer	# - Helge Grans
# - Emil Andrae	# - Dawson Barteaux

1st Power Play Unit
# - Francesco Pinelli		# - Gage Goncalves		# - Daniil Gushchin
# - Emil Andrae			# - Connor Mayer

2nd Power Play Unit
# - Landon Slaggert		# - Dylan Peterson		# - Reid Schaefer
# - Helge Grans			# - Ben Harpur

Goalies
# - Niklas Kokko		# - Keith Petruzzelli

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	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	Phantoms	1	0	1	0	0	0	0	3	4	-1	0	0.000	3	6	9	16	19	20	3	15	192	197	229	13	66	12	8	17	0	0	0.00%	4	1	75.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	50.0%	20.0%	93.9%	113.9	LUCKY
2	Senators	1	0	1	0	0	0	0	0	3	-3	0	0.000	0	0	0	16	19	20	3	28	192	197	229	13	34	9	13	19	0	0	0.00%	4	1	75.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	0.0%	0.0%	91.2%	91.2	DULL
3	Islanders	3	2	1	0	0	0	0	7	5	2	4	0.667	7	13	20	16	19	20	3	77	192	197	229	13	93	32	35	69	8	2	25.00%	13	2	84.62%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	62.5%	9.1%	94.6%	103.7	LUCKY
4	Wolf Pack	1	1	0	0	0	0	0	5	2	3	2	1.000	5	8	13	16	19	20	3	37	192	197	229	13	27	7	4	18	4	1	25.00%	2	0	100.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	66.7%	13.5%	92.6%	106.1	LUCKY
5	Griffins	1	0	1	0	0	0	0	2	3	-1	0	0.000	2	4	6	16	19	20	3	38	192	197	229	13	27	5	6	25	5	0	0.00%	3	0	100.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	40.0%	5.3%	88.9%	94.2	Unlucky
6	Bears	2	0	1	0	0	1	0	4	6	-2	2	0.500	4	6	10	16	19	20	3	52	192	197	229	13	63	12	19	43	6	1	16.67%	6	3	50.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	50.0%	7.7%	90.5%	98.2	Unlucky
7	Canucks	1	0	1	0	0	0	0	3	4	-1	0	0.000	3	6	9	16	19	20	3	31	192	197	229	13	46	8	12	18	2	0	0.00%	5	0	100.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	42.9%	9.7%	91.3%	101.0	LUCKY
8	Reign	1	0	0	1	0	0	0	5	4	1	2	1.000	5	10	15	16	19	20	3	36	192	197	229	13	42	6	16	16	3	0	0.00%	8	3	62.50%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	83.3%	13.9%	90.5%	104.4	FUN
9	Thunderbirds	2	1	1	0	0	0	0	4	5	-1	2	0.500	4	7	11	16	19	20	3	62	192	197	229	13	62	14	16	60	10	1	10.00%	8	2	75.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	50.0%	6.5%	91.9%	98.4	DULL
10	Bruins	1	0	0	0	1	0	0	4	5	-1	1	0.500	4	6	10	16	19	20	3	39	192	197	229	13	40	16	17	23	4	0	0.00%	2	0	100.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	44.4%	10.3%	87.5%	97.8	FUN
11	IceHogs	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	2	3	16	19	20	3	21	192	197	229	13	30	8	12	16	2	1	50.00%	5	1	80.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	0.0%	4.8%	90.0%	94.8	Unlucky
12	Monsters	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	3	5	16	19	20	3	28	192	197	229	13	28	11	6	28	2	1	50.00%	2	0	100.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	20.0%	7.1%	85.7%	92.9	Unlucky
13	Moose	1	0	0	0	0	0	1	4	5	-1	1	0.500	4	6	10	16	19	20	3	25	192	197	229	13	38	16	4	31	0	0	0.00%	2	1	50.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	50.0%	16.0%	86.8%	102.8	FUN
14	Penguins	2	1	1	0	0	0	0	5	5	0	2	0.500	5	7	12	16	19	20	3	68	192	197	229	13	74	14	8	52	7	1	14.29%	4	1	75.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	50.0%	7.4%	93.2%	100.6	DULL
15	Barracuda	1	0	1	0	0	0	0	2	3	-1	0	0.000	2	3	5	16	19	20	3	32	192	197	229	13	20	7	0	25	3	0	0.00%	0	0	0.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	40.0%	6.3%	85.0%	91.3	Unlucky
16	Firebirds	1	1	0	0	0	0	0	6	4	2	2	1.000	6	10	16	16	19	20	3	38	192	197	229	13	46	9	8	37	4	0	0.00%	4	0	100.00%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	60.0%	15.8%	91.3%	107.1	LUCKY
	_Vs Division	3	5	5	0	1	1	0	6	11	-5	13	2.167	6	10	16	16	19	20	3	105	192	197	229	13	101	30	36	67	9	0	0.00%	9	1	88.89%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	37.5%	5.7%	89.1%	94.8	Unlucky
	_Vs Conference	15	5	8	0	1	1	0	36	42	-6	13	0.433	36	60	96	16	19	20	3	444	192	197	229	13	514	132	132	354	46	7	15.22%	48	10	79.17%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	47.5%	8.1%	91.8%	99.9	DULL
	_Since Last GM Reset	21	6	11	1	1	1	1	57	65	-8	18	0.429	57	97	154	16	19	20	3	627	192	197	229	13	736	186	184	497	60	8	13.33%	72	15	79.17%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	49.5%	9.1%	91.2%	100.3	LUCKY
	Total	21	6	11	1	1	1	1	57	65	-8	18	0.429	57	97	154	16	19	20	3	627	192	197	229	13	736	186	184	497	60	8	13.33%	72	15	79.17%	348	701	49.64%	385	769	50.07%	155	343	45.19%	474	312	517	166	284	139	49.5%	9.1%	91.2%	100.3	LUCKY

	Puck Time
Offensive Zone	22
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	701
Neutral Zone Start	343
Defensive Zone Start	769

	Puck Time
With Puck	29
Without Puck	31

	Faceoffs
Faceoffs Won	888
Faceoffs Lost	925

	Team Average Shots after	League Average Shots after
1st Period	9.1	9.57
2nd Period	18.5	20.31
3rd Period	29.4	30.68
Overtime	30.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.8	0.64
2nd Period	1.7	1.65
3rd Period	2.6	2.67
Overtime	2.8	2.83


Even Strenght Goal	49
PP Goal	8
PK Goal	0
Empty Net Goal	0

	Home	Away
Win	6	2
Lost	3	8
Overtime Lost	2	0


PP Attempt	60
PP Goal	8
PK Attempt	72
PK Goal Against	15

	Home
Shots For	29.9
Shots Against	35.0
Goals For	2.7
Goals Against	3.1
Hits	23.7
Shots Blocked	8.9
Pim	8.8

Schedule

Date	Matchup			Result	Detail
2025-10-09	Islanders	@	Checkers	Islanders3,Checkers1	RECAP
2025-10-13	Bruins	@	Checkers	Bruins5,Checkers4 (OT)	RECAP
2025-10-15	Checkers	@	Phantoms	Checkers3,Phantoms4	RECAP
2025-10-18	Thunderbirds	@	Checkers	Thunderbirds2,Checkers3	RECAP
2025-10-21	Checkers	@	Islanders	Checkers4,Islanders1	RECAP
2025-10-22	Bears	@	Checkers	Bears5,Checkers2	RECAP
2025-10-25	Checkers	@	Barracuda	Checkers2,Barracuda3	RECAP
2025-10-26	Penguins	@	Checkers	Penguins1,Checkers2	RECAP
2025-10-29	Wolf Pack	@	Checkers	Wolf Pack2,Checkers5	RECAP
2025-10-30	Checkers	@	Senators	Checkers0,Senators3	RECAP
2025-11-02	Checkers	@	Thunderbirds	Checkers1,Thunderbirds3	RECAP
2025-11-03	Bears	@	Checkers	Bears1,Checkers2 (SO)	RECAP
2025-11-09	Penguins	@	Checkers	Penguins4,Checkers3	RECAP
2025-11-13	Checkers	@	Canucks	Checkers3,Canucks4	RECAP
2025-11-14	Reign	@	Checkers	Reign4,Checkers5 (OT)	RECAP
2025-11-17	Checkers	@	Griffins	Checkers2,Griffins3	RECAP
2025-11-19	Moose	@	Checkers	Moose5,Checkers4 (SO)	RECAP
2025-11-21	Checkers	@	Monsters	Checkers2,Monsters4	RECAP
2025-11-23	Checkers	@	Firebirds	Checkers6,Firebirds4	RECAP
2025-11-25	Islanders	@	Checkers	Islanders1,Checkers2	RECAP
2025-11-27	Checkers	@	IceHogs	Checkers1,IceHogs3	RECAP
2025-11-29	Checkers	@	Thunderbirds
2025-12-01	Rocket	@	Checkers
2025-12-03	Checkers	@	Rocket
2025-12-05	Griffins	@	Checkers
2025-12-08	Checkers	@	Barracuda
2025-12-11	Checkers	@	Senators
2025-12-13	Marlies	@	Checkers
2025-12-16	Penguins	@	Checkers
2025-12-18	Checkers	@	Condors
2025-12-21	Checkers	@	Penguins
2025-12-22	Admirals	@	Checkers
2025-12-27	Wranglers	@	Checkers
2025-12-29	Wolf Pack	@	Checkers
2025-12-31	Checkers	@	Wild
2026-01-02	Checkers	@	Marlies
2026-01-04	Crunch	@	Checkers
2026-01-08	Checkers	@	Roadrunners
2026-01-09	Monsters	@	Checkers
2026-01-12	Checkers	@	Bruins
2026-01-14	Bears	@	Checkers
2026-01-19	Islanders	@	Checkers
2026-01-21	Checkers	@	Wolves
2026-01-23	Phantoms	@	Checkers
2026-01-27	Checkers	@	Eagles
2026-01-29	Comets	@	Checkers
2026-02-01	Checkers	@	Bears
2026-02-02	Wolf Pack	@	Checkers
2026-02-05	Checkers	@	Islanders
2026-02-07	Checkers	@	Silver Knights
2026-02-08	Phantoms	@	Checkers
2026-02-12	Checkers	@	Bruins
2026-02-13	Americans	@	Checkers
2026-02-17	Checkers	@	Wolf Pack
2026-02-18	Gulls	@	Checkers
2026-02-22	Thunderbirds	@	Checkers
2026-02-25	Checkers	@	Americans
2026-02-27	Checkers	@	Penguins
2026-03-01	Thunderbirds	@	Checkers
2026-03-04	Bruins	@	Checkers
2026-03-07	Checkers	@	Crunch
Trade Deadline --- Trades can�t be done after this day is simulated!
2026-03-09	Silver Knights	@	Checkers
2026-03-10	Checkers	@	Phantoms
2026-03-13	Checkers	@	Admirals
2026-03-14	Senators	@	Checkers
2026-03-19	Stars	@	Checkers
2026-03-20	Checkers	@	Comets
2026-03-24	Bruins	@	Checkers
2026-03-26	Checkers	@	Phantoms
2026-03-29	Stars	@	Checkers
2026-03-31	Checkers	@	Bears
2026-04-03	Checkers	@	Wolf Pack

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,483,666$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Charlotte
	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
25	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,483,666$	2,483,666$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
814,765$	13,798$	673,110$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	141	16,576$	2,138,304$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
2,138,304$	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

Adam Brooks is suspended for 61 more games.
Axel Andersson is suspended for 61 more games.
Leon Gawanke is suspended for 59 more games.
Nikita Okhotyuk is suspended for 59 more games.
Albin Grewe is suspended for 61 more games.