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
Zac Funk	0	LW/RW	99.00	76	41	69	68	81	72	88	65	41	57	61	63	67	58	55	0	44	72	22	905,000$/1yrs
David Tomasek	0	C/RW	97.00	65	33	84	57	83	73	70	56	74	57	63	53	60	75	73	0	28	70	30	1,200,000$/1yrs
Olle Lycksell	0	RW	99.00	61	31	96	58	63	74	71	55	60	65	55	54	55	68	68	0	37	69	26	800,000$/2yrs
Jean-Luc Foudy	0	C	99.00	64	38	84	57	68	63	84	59	68	58	53	62	55	59	58	0	36	67	24	850,000$/3yrs
Arshdeep Bains	0	LW	97.00	68	32	89	56	72	71	73	54	58	58	56	56	55	66	65	0	31	67	25	900,000$/2yrs
Koehn Ziemmer (R)	0	RW	100.00	63	39	86	57	78	63	70	57	37	58	53	60	55	56	54	0	34	67	21	845,833$/2yrs
Cam Squires (R)	0	RW	99.00	72	39	73	58	67	63	89	54	49	56	57	60	56	56	53	0	48	67	20	870,000$/2yrs
Bryce McConnell-Barker (R)	0	C	100.00	64	39	84	56	78	62	88	57	64	54	54	60	54	56	54	0	41	66	21	870,000$/1yrs
Julian Lutz (R)	0	C/LW/RW	100.00	65	39	82	55	77	61	83	58	63	55	52	61	53	55	54	0	45	66	22	925,000$/2yrs
Nico Myatovic (R)	0	C/LW	100.00	62	39	88	57	79	62	87	57	61	54	55	60	54	56	54	0	45	66	21	896,667$/2yrs
Blake Murray (R)	0	C	100.00	59	38	92	51	75	60	68	61	71	51	49	64	50	61	60	0	20	65	24	800,000$/2yrs
Cam Hausinger	0	RW	100.00	94	41	53	55	72	63	60	56	52	42	51	63	55	64	69	0	31	65	27	800,000$/2yrs
Carson Ceulemans (R)	0	D	98.00	82	41	61	62	79	68	60	56	30	56	52	60	62	56	52	0	46	69	22	925,000$/1yrs
Vincent Iorio (R)	0	D	100.00	63	39	85	53	81	64	83	51	30	59	52	63	55	59	58	0	43	68	23	814,167$/1yrs
David Reinbacher (R)	0	D	100.00	67	40	79	54	84	65	72	52	30	59	56	61	58	56	54	0	21	68	21	950,000$/1yrs
Kyle Burroughs	0	D	100.00	71	55	60	55	75	68	72	50	30	57	50	53	50	75	71	0	28	67	30	1,100,000$/1yrs
Sean Behrens (R)	0	D	100.00	63	38	86	54	67	63	70	51	30	59	50	62	55	57	56	0	40	67	22	905,833$/2yrs
Ryan Johnson (R)	0	D	98.00	68	39	78	51	67	63	87	49	30	56	51	64	54	61	59	0	39	66	24	850,000$/2yrs
Ben Danford (R)	0	D	99.00	61	39	86	56	74	62	89	52	30	56	51	61	53	54	52	0	42	66	20	964,000$/2yrs
Scratches
Rasmus Asplund	0	C/LW	100.00	62	38	88	59	73	69	80	63	67	60	61	67	60	68	67	0	20	72	28	800,000$/1yrs
Kieffer Bellows	0	LW	100.00	78	33	89	57	77	73	69	56	62	58	61	55	58	71	69	0	19	70	27	800,000$/2yrs
Nikita Grebyonkin (R)	0	LW/RW	100.00	72	41	71	60	83	65	77	58	47	59	58	61	59	57	55	0	19	69	22	875,000$/2yrs
Gracyn Sawchyn (R)	0	C	100.00	55	36	99	63	61	66	71	61	64	64	57	59	61	54	54	0	20	69	21
Chaz Lucius (R)	0	C	100.00	60	38	91	57	74	63	71	58	68	57	54	61	55	57	56	0	20	67	22	894,167$/1yrs
Devin Kaplan (R)	0	RW	100.00	78	41	61	57	79	62	72	57	41	55	54	60	54	56	52	0	20	66	22
Thomas Caron	0	LW	100.00	67	40	79	50	85	60	68	62	37	48	50	65	49	62	60	0	20	65	25	800,000$/2yrs
Matt Stienburg (R)	0	C	100.00	71	40	72	53	73	62	72	61	65	44	44	65	52	63	60	0	19	63	25	775,000$/1yrs
Braeden Kressler	0	C	100.00	1	1	1	1	1	1	60	1	1	1	1	1	1	1	1	0	19	9	23	800,556$/1yrs
Jack Matier (R)	0	D	100.00	63	40	86	49	86	61	75	48	30	54	51	62	52	57	56	0	39	65	22	801,667$/1yrs
Dmitri Kuzmin	0	D	100.00	64	38	85	47	71	61	82	47	30	52	52	62	52	57	56	0	19	64	22	795,556$/1yrs

Show or Hide Column

Filter Tips

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

Goalie	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Hugo Alnefelt	0	96.00	75	82	71	81	69	76	75	75	76	76	75	62	64	0	21	78	24	900,000$/1yrs
Erik Portillo	0	100.00	68	68	67	93	52	76	69	68	76	75	71	63	63	0	50	75	25	950,000$/1yrs
Scratches

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Derek Lalonde	83	81	87	91	67	63	73	USA	50	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	Zac Funk	Eagles (COL)	LW/RW	66	13	27	40	-24	38	0	218	272	71	176	4.78%	23	21.87	2	8	10	209	0	0	0	101	1	0	38.05%	925	0	1	0	0.55	0	6
2	Carson Ceulemans	Eagles (COL)	D	67	6	30	36	-5	87	15	230	102	29	63	5.88%	102	21.13	4	7	11	224	0	0	0	58	3	0	0.00%	0	0	0	0	0.51	0	0
3	Cam Squires	Eagles (COL)	RW	67	21	12	33	11	24	0	158	156	28	124	13.46%	14	19.31	2	7	9	198	1	0	1	114	2	0	44.27%	314	0	0	0	0.51	1	1
4	Ryan Johnson	Eagles (COL)	D	67	4	25	29	-18	10	0	29	86	28	46	4.65%	103	24.01	2	6	8	216	0	0	0	135	1	0	0.00%	0	0	0	0	0.36	0	0
5	Nico Myatovic	Eagles (COL)	C/LW	67	13	16	29	10	21	15	30	150	31	112	8.67%	12	14.84	0	0	0	0	0	0	0	0	2	0	40.74%	54	0	0	0	0.58	0	0
6	Bryce McConnell-Barker	Eagles (COL)	C	67	11	17	28	10	22	0	43	140	31	102	7.86%	8	15.42	0	0	0	13	0	0	0	18	3	0	48.52%	1214	0	0	0	0.54	0	0
7	Olle Lycksell	Eagles (COL)	RW	67	6	18	24	-16	0	0	24	114	36	105	5.26%	8	20.02	5	4	9	191	0	0	0	78	2	1	52.30%	174	0	0	0	0.36	0	0
8	Jean-Luc Foudy	Eagles (COL)	C	57	11	10	21	-16	10	0	67	112	26	75	9.82%	8	16.23	2	5	7	62	0	0	0	65	2	1	38.93%	524	0	0	0	0.45	0	0
9	Julian Lutz	Eagles (COL)	C/LW/RW	67	5	16	21	-2	8	0	12	70	17	56	7.14%	16	11.19	3	3	6	92	0	0	0	44	0	0	43.87%	734	0	0	0	0.56	2	6
10	Koehn Ziemmer	Eagles (COL)	RW	64	9	10	19	-14	10	0	54	108	30	55	8.33%	17	16.50	4	2	6	167	0	0	0	18	0	3	39.87%	1259	0	0	0	0.36	1	2
11	Sean Behrens	Eagles (COL)	D	44	2	16	18	4	40	0	76	33	7	22	6.06%	32	14.42	0	1	1	27	0	0	0	19	0	1	0.00%	0	0	0	0	0.57	0	0
12	Vincent Iorio	Eagles (COL)	D	67	6	11	17	9	32	0	104	75	19	42	8.00%	89	19.92	2	1	3	192	0	1	1	125	0	0	0.00%	0	0	0	0	0.25	0	0
13	Arshdeep Bains	Eagles (COL)	LW	61	6	9	15	-6	8	0	53	74	25	61	8.11%	9	12.64	1	1	2	99	0	0	0	31	0	2	46.43%	56	0	0	0	0.39	0	0
14	Ben Danford	Eagles (COL)	D	67	2	12	14	-12	24	0	68	41	19	34	4.88%	87	18.03	1	1	2	57	0	0	0	129	1	0	0.00%	0	0	0	0	0.23	0	0
15	Jack Matier	Eagles (COL)	D	64	4	8	12	-6	24	0	93	43	9	19	9.30%	54	14.45	0	0	0	27	0	0	0	16	0	0	0.00%	0	0	0	0	0.26	0	0
16	David Reinbacher	Eagles (COL)	D	36	3	9	12	9	21	5	58	22	6	5	13.64%	38	15.21	0	0	0	3	0	0	0	25	0	0	0.00%	0	0	0	0	0.44	0	0
17	Matt Stienburg	Eagles (COL)	C	25	5	1	6	2	11	5	21	23	3	24	21.74%	3	6.76	0	0	0	1	0	0	0	4	0	0	50.27%	185	0	0	0	0.71	0	0
18	Cam Hausinger	Eagles (COL)	RW	56	3	1	4	0	18	0	61	33	10	25	9.09%	8	5.88	0	0	0	12	0	0	0	0	0	0	25.00%	24	0	0	0	0.24	0	0
19	David Tomasek	Eagles (COL)	C/RW	19	2	2	4	2	0	0	18	20	7	9	10.00%	0	11.97	0	0	0	24	0	0	0	6	0	0	50.43%	117	0	0	0	0.35	0	0
20	Kyle Burroughs	Eagles (COL)	D	11	1	1	2	1	0	0	1	2	0	0	50.00%	1	2.87	1	0	1	2	0	0	0	16	0	0	0.00%	0	0	0	0	1.27	0	0
21	Braeden Kressler	Eagles (COL)	C	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	1.59	0	0	0	1	0	0	0	3	0	0	0.00%	5	0	0	0	0.00	0	0
22	Thomas Caron	Eagles (COL)	LW	48	0	0	0	0	0	0	1	0	0	1	0.00%	1	0.33	0	0	0	4	0	0	0	0	0	0	0.00%	1	0	0	0	0.00	0	0
23	Blake Murray	Eagles (COL)	C	33	0	0	0	0	0	0	0	1	0	1	0.00%	0	0.27	0	0	0	0	0	0	0	0	0	0	25.00%	4	0	0	0	0.00	0	0
Team Total or Average			1190	133	251	384	-61	408	40	1419	1677	432	1157	7.93%	633	15.18	29	46	75	1830	1	1	2	1013	17	8	43.04%	5590	0	1	0	0.43	4	15

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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Erik Portillo	Eagles (COL)	29	10	15	3	0.924	2.41	1691	0	2	68	893	0	0.833	6	28	39	3	5	0
2	Hugo Alnefelt	Eagles (COL)	5	2	1	2	0.926	2.97	303	2	0	15	204	0	0.000	0	5	0	2	0	0
Team Total or Average		34	12	16	5	0.924	2.50	1994	2	2	83	1097	0	0.833	6	33	39	5	5	0

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Arshdeep Bains	LW	25	900,000$	900,000$	900,000$	RFA
Ben Danford	D	20	964,000$	964,000$	964,000$	RFA
Blake Murray	C	24	800,000$	800,000$	800,000$	RFA
Braeden Kressler	C	23	800,556$	800,556$	RFA
Bryce McConnell-Barker	C	21	870,000$	870,000$	RFA
Cam Hausinger	RW	27	800,000$	800,000$	800,000$	UFA
Cam Squires	RW	20	870,000$	870,000$	870,000$	RFA
Carson Ceulemans	D	22	925,000$	925,000$	RFA
Chaz Lucius	C	22	894,167$	894,167$	RFA
David Reinbacher	D	21	950,000$	950,000$	RFA
David Tomasek	C/RW	30	1,200,000$	1,200,000$	UFA
Devin Kaplan	RW	22	0$	RFA
Dmitri Kuzmin	D	22	795,556$	795,556$	RFA
Erik Portillo	G	25	950,000$	950,000$	RFA
Gracyn Sawchyn	C	21	0$	RFA
Hugo Alnefelt	G	24	900,000$	900,000$	RFA
Jack Matier	D	22	801,667$	801,667$	RFA
Jean-Luc Foudy	C	24	850,000$	850,000$	850,000$	850,000$	RFA
Julian Lutz	C/LW/RW	22	925,000$	925,000$	925,000$	RFA
Kieffer Bellows	LW	27	800,000$	800,000$	800,000$	UFA
Koehn Ziemmer	RW	21	845,833$	845,833$	845,833$	RFA
Kyle Burroughs	D	30	1,100,000$	1,100,000$	UFA
Matt Stienburg	C	25	775,000$	775,000$	RFA
Nico Myatovic	C/LW	21	896,667$	896,667$	896,667$	RFA
Nikita Grebyonkin	LW/RW	22	875,000$	875,000$	875,000$	RFA
Olle Lycksell	RW	26	800,000$	800,000$	800,000$	UFA
Rasmus Asplund	C/LW	28	800,000$	800,000$	UFA
Ryan Johnson	D	24	850,000$	850,000$	850,000$	RFA
Sean Behrens	D	22	905,833$	905,833$	905,833$	RFA
Thomas Caron	LW	25	800,000$	800,000$	800,000$	RFA
Vincent Iorio	D	23	814,167$	814,167$	RFA
Zac Funk	LW/RW	22	905,000$	905,000$	RFA

Lines

Forward Lines
# - Jean-Luc Foudy	# - David Tomasek	# - Arshdeep Bains
# - Olle Lycksell	# - Zac Funk	# - Koehn Ziemmer
# - Nico Myatovic	# - Bryce McConnell-Barker	# - Cam Squires
# - David Tomasek	# - Zac Funk	# - Arshdeep Bains

Defensive Pairings
# - Carson Ceulemans	# - Ryan Johnson
# - Sean Behrens	# - Vincent Iorio
# - Ben Danford	# - David Reinbacher

1st Power Play Unit
# - Jean-Luc Foudy		# - David Tomasek		# - Arshdeep Bains
# - Carson Ceulemans			# - Ryan Johnson

2nd Power Play Unit
# - Cam Squires		# - Zac Funk		# - Olle Lycksell
# - Ben Danford			# - Vincent Iorio

Goalies
# - Hugo Alnefelt		# - Erik Portillo

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	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	Wranglers	2	0	2	0	0	0	4	7	-3	0	0.000	4	7	11	0	53	51	53	8	54	677	605	609	51	79	24	12	40	6	0	0.00%	6	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	36.4%	7.4%	91.1%	98.5	Unlucky
2	Phantoms	1	0	0	0	1	0	3	2	1	2	1.000	3	4	7	0	53	51	53	8	24	677	605	609	51	26	6	6	27	4	1	25.00%	3	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	50.0%	12.5%	92.3%	104.8	LUCKY
3	Comets	2	1	1	0	0	0	6	6	0	2	0.500	6	10	16	0	53	51	53	8	55	677	605	609	51	74	19	12	31	8	0	0.00%	5	2	60.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	60.0%	10.9%	91.9%	102.8	LUCKY
4	Senators	1	0	0	0	1	0	4	3	1	2	1.000	4	5	9	0	53	51	53	8	29	677	605	609	51	27	6	6	17	2	0	0.00%	2	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	57.1%	13.8%	88.9%	102.7	FUN
5	Islanders	1	0	0	0	0	1	2	3	-1	1	0.500	2	3	5	0	53	51	53	8	26	677	605	609	51	36	15	12	23	0	0	0.00%	6	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	40.0%	7.7%	91.7%	99.4	DULL
6	Wolves	5	3	2	0	0	0	10	10	0	6	0.600	10	18	28	0	53	51	53	8	146	677	605	609	51	169	56	29	119	15	1	6.67%	10	1	90.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	50.0%	6.8%	94.1%	100.9	DULL
7	Wolf Pack	2	2	0	0	0	0	6	3	3	4	1.000	6	11	17	0	53	51	53	8	61	677	605	609	51	58	16	10	37	3	1	33.33%	4	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	62.5%	9.8%	94.8%	104.7	LUCKY
8	Griffins	1	0	1	0	0	0	2	4	-2	0	0.000	2	3	5	0	53	51	53	8	35	677	605	609	51	29	9	8	20	3	1	33.33%	4	1	75.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	25.0%	5.7%	86.2%	91.9	Unlucky
9	Bears	1	0	1	0	0	0	2	4	-2	0	0.000	2	4	6	0	53	51	53	8	31	677	605	609	51	45	12	8	17	5	0	0.00%	4	1	75.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	40.0%	6.5%	91.1%	97.6	Unlucky
10	Wild	5	0	3	2	0	0	16	21	-5	2	0.200	16	32	48	0	53	51	53	8	174	677	605	609	51	208	62	29	117	18	5	27.78%	11	3	72.73%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	37.9%	9.2%	89.9%	99.1	FUN
11	Canucks	2	2	0	0	0	0	8	3	5	4	1.000	8	13	21	0	53	51	53	8	63	677	605	609	51	55	18	17	50	6	1	16.67%	4	1	75.00%	1	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	77.8%	12.7%	94.5%	107.2	LUCKY
12	Reign	2	1	1	0	0	0	5	8	-3	2	0.500	5	9	14	0	53	51	53	8	46	677	605	609	51	65	22	18	44	7	1	14.29%	8	1	87.50%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	36.4%	10.9%	87.7%	98.6	FUN
13	Admirals	5	2	2	0	1	0	11	10	1	6	0.600	11	19	30	1	53	51	53	8	142	677	605	609	51	155	49	28	114	25	3	12.00%	14	1	92.86%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	47.1%	7.7%	93.5%	101.3	DULL
14	Crunch	1	1	0	0	0	0	3	0	3	2	1.000	3	4	7	1	53	51	53	8	27	677	605	609	51	23	13	2	18	3	0	0.00%	1	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	100.0%	11.1%	100.0%	111.1	LUCKY
15	Condors	2	1	1	0	0	0	6	4	2	2	0.500	6	10	16	0	53	51	53	8	75	677	605	609	51	73	16	23	48	9	2	22.22%	4	1	75.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	57.1%	8.0%	94.5%	102.5	DULL
16	Thunderbirds	1	1	0	0	0	0	4	2	2	2	1.000	4	7	11	0	53	51	53	8	32	677	605	609	51	20	7	4	19	7	2	28.57%	1	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	50.0%	12.5%	90.0%	102.5	FUN
17	Roadrunners	2	0	1	0	1	0	4	7	-3	2	0.500	4	5	9	0	53	51	53	8	54	677	605	609	51	56	23	6	38	14	0	0.00%	3	1	66.67%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	40.0%	7.4%	87.5%	94.9	Unlucky
18	Bruins	2	0	2	0	0	0	1	3	-2	0	0.000	1	2	3	0	53	51	53	8	55	677	605	609	51	56	17	8	53	9	0	0.00%	4	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	25.0%	1.8%	94.6%	96.5	DULL
19	Americans	1	1	0	0	0	0	4	3	1	2	1.000	4	8	12	0	53	51	53	8	24	677	605	609	51	31	6	2	34	5	2	40.00%	1	1	0.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	50.0%	16.7%	90.3%	107.0	FUN
20	IceHogs	5	1	4	0	0	0	9	11	-2	2	0.200	9	16	25	1	53	51	53	8	149	677	605	609	51	158	43	26	116	18	2	11.11%	13	2	84.62%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	43.8%	6.0%	93.0%	99.1	DULL
21	Checkers	1	0	1	0	0	0	0	3	-3	0	0.000	0	0	0	0	53	51	53	8	16	677	605	609	51	35	12	2	23	2	0	0.00%	1	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	0.0%	0.0%	91.4%	91.4	DULL
22	Monsters	1	1	0	0	0	0	5	3	2	2	1.000	5	8	13	0	53	51	53	8	21	677	605	609	51	41	12	4	22	2	0	0.00%	2	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	62.5%	23.8%	92.7%	116.5	LUCKY
23	Moose	5	1	1	1	1	1	12	11	1	6	0.600	12	19	31	0	53	51	53	8	162	677	605	609	51	152	44	31	99	19	1	5.26%	12	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	50.0%	7.4%	92.8%	100.2	DULL
24	Gulls	2	0	0	1	0	1	4	6	-2	2	0.500	4	8	12	0	53	51	53	8	54	677	605	609	51	74	24	14	38	5	1	20.00%	6	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	33.3%	7.4%	91.9%	99.3	DULL
25	Stars	5	2	2	1	0	0	11	10	1	5	0.500	11	21	32	0	53	51	53	8	115	677	605	609	51	158	52	26	118	16	2	12.50%	13	1	92.31%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	50.0%	9.6%	93.7%	103.2	LUCKY
26	Marlies	1	1	0	0	0	0	5	1	4	2	1.000	5	6	11	0	53	51	53	8	34	677	605	609	51	21	6	2	23	6	3	50.00%	1	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	66.7%	14.7%	95.2%	109.9	LUCKY
27	Penguins	1	0	1	0	0	0	3	6	-3	0	0.000	3	4	7	0	53	51	53	8	27	677	605	609	51	30	7	13	15	2	0	0.00%	4	2	50.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	42.9%	11.1%	80.0%	91.1	FUN
28	Barracuda	1	0	1	0	0	0	1	3	-2	0	0.000	1	1	2	0	53	51	53	8	19	677	605	609	51	36	7	10	22	2	0	0.00%	5	0	100.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	25.0%	5.3%	91.7%	96.9	DULL
29	Silver Knights	1	0	1	0	0	0	1	3	-2	0	0.000	1	2	3	0	53	51	53	8	25	677	605	609	51	32	8	8	17	4	0	0.00%	4	1	75.00%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	33.3%	4.0%	90.6%	94.6	Unlucky
30	Firebirds	5	2	3	0	0	0	10	13	-3	4	0.400	10	16	26	1	53	51	53	8	145	677	605	609	51	158	51	25	126	19	3	15.79%	8	1	87.50%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	36.8%	6.9%	91.8%	98.7	DULL
	_Vs Division	28	11	17	4	2	1	67	72	-5	31	0.554	67	119	186	2	53	51	53	8	828	677	605	609	51	907	280	150	621	117	15	12.82%	67	8	88.06%	0	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	44.8%	8.1%	92.1%	100.2	DULL
	_Vs Conference	49	15	24	5	3	2	112	127	-15	43	0.439	112	196	308	3	53	51	53	8	1423	677	605	609	51	1628	499	302	1106	183	22	12.02%	121	14	88.43%	1	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	44.3%	7.9%	92.2%	100.1	DULL
	_Since Last GM Reset	67	23	31	5	5	3	162	173	-11	64	0.478	162	275	437	4	53	51	53	8	1920	677	605	609	51	2180	662	401	1485	244	32	13.11%	164	21	87.20%	1	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	46.1%	8.4%	92.1%	100.5	DULL
	Total	67	23	31	5	5	3	162	173	-11	64	0.478	162	275	437	4	53	51	53	8	1920	677	605	609	51	2180	662	401	1485	244	32	13.11%	164	21	87.20%	1	987	2237	44.12%	1060	2434	43.55%	419	1002	41.82%	1516	1004	1640	532	910	446	46.1%	8.4%	92.1%	100.5	DULL

	Puck Time
Offensive Zone	22
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	2237
Neutral Zone Start	1002
Defensive Zone Start	2434

	Puck Time
With Puck	29
Without Puck	31

	Faceoffs
Faceoffs Won	2466
Faceoffs Lost	3207

	Team Average Shots after	League Average Shots after
1st Period	10.1	9.57
2nd Period	19.1	20.31
3rd Period	28.2	30.68
Overtime	29.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.8	0.64
2nd Period	1.6	1.65
3rd Period	2.3	2.67
Overtime	2.5	2.83


Even Strenght Goal	129
PP Goal	32
PK Goal	1
Empty Net Goal	0

	Home	Away
Win	14	14
Lost	15	16
Overtime Lost	4	4


PP Attempt	244
PP Goal	32
PK Attempt	164
PK Goal Against	21

	Home
Shots For	28.7
Shots Against	32.5
Goals For	2.4
Goals Against	2.6
Hits	22.2
Shots Blocked	9.9
Pim	6.0

Schedule

Date	Matchup			Result	Detail
2025-10-08	Admirals	@	Eagles	Admirals0,Eagles3	RECAP
2025-10-09	Eagles	@	Wolves	Eagles3,Wolves1	RECAP
2025-10-13	Eagles	@	Moose	Eagles1,Moose2	RECAP
2025-10-14	Eagles	@	IceHogs	Eagles2,IceHogs3	RECAP
2025-10-16	Eagles	@	Wild	Eagles4,Wild5 (OT)	RECAP
2025-10-17	Stars	@	Eagles	Stars1,Eagles4	RECAP
2025-10-20	Moose	@	Eagles	Moose2,Eagles1 (SO)	RECAP
2025-10-22	Eagles	@	Firebirds	Eagles2,Firebirds4	RECAP
2025-10-24	Stars	@	Eagles	Stars1,Eagles0	RECAP
2025-10-26	Eagles	@	Wolves	Eagles2,Wolves1	RECAP
2025-10-28	Eagles	@	Wild	Eagles3,Wild4	RECAP
2025-10-29	Admirals	@	Eagles	Admirals1,Eagles4	RECAP
2025-11-01	Wolf Pack	@	Eagles	Wolf Pack1,Eagles3	RECAP
2025-11-03	Eagles	@	Firebirds	Eagles3,Firebirds4	RECAP
2025-11-05	Eagles	@	Admirals	Eagles0,Admirals1	RECAP
2025-11-08	Comets	@	Eagles	Comets5,Eagles4	RECAP
2025-11-10	Eagles	@	Silver Knights	Eagles1,Silver Knights3	RECAP
2025-11-13	Comets	@	Eagles	Comets1,Eagles2	RECAP
2025-11-15	Eagles	@	Stars	Eagles4,Stars1	RECAP
2025-11-17	Senators	@	Eagles	Senators3,Eagles4 (SO)	RECAP
2025-11-20	Eagles	@	Islanders	Eagles2,Islanders3 (SO)	RECAP
2025-11-22	Gulls	@	Eagles	Gulls3,Eagles2 (SO)	RECAP
2025-11-28	Roadrunners	@	Eagles	Roadrunners2,Eagles3 (SO)	RECAP
2025-11-30	Eagles	@	Bruins	Eagles1,Bruins2	RECAP
2025-12-02	Penguins	@	Eagles	Penguins6,Eagles3	RECAP
2025-12-04	Eagles	@	Roadrunners	Eagles1,Roadrunners5	RECAP
2025-12-08	Wolf Pack	@	Eagles	Wolf Pack2,Eagles3	RECAP
2025-12-12	Crunch	@	Eagles	Crunch0,Eagles3	RECAP
2025-12-14	Eagles	@	Americans	Eagles4,Americans3	RECAP
2025-12-16	Eagles	@	Monsters	Eagles5,Monsters3	RECAP
2025-12-18	IceHogs	@	Eagles	IceHogs3,Eagles1	RECAP
2025-12-20	Eagles	@	Phantoms	Eagles3,Phantoms2 (SO)	RECAP
2025-12-22	Eagles	@	Wild	Eagles2,Wild3	RECAP
2025-12-23	Bears	@	Eagles	Bears4,Eagles2	RECAP
2025-12-27	Eagles	@	Moose	Eagles4,Moose1	RECAP
2025-12-28	Wild	@	Eagles	Wild3,Eagles2	RECAP
2026-01-01	Reign	@	Eagles	Reign4,Eagles0	RECAP
2026-01-03	Eagles	@	Moose	Eagles3,Moose4 (OT)	RECAP
2026-01-06	Admirals	@	Eagles	Admirals3,Eagles4 (SO)	RECAP
2026-01-09	Eagles	@	Admirals	Eagles0,Admirals5	RECAP
2026-01-11	Firebirds	@	Eagles	Firebirds4,Eagles2	RECAP
2026-01-15	Bruins	@	Eagles	Bruins1,Eagles0	RECAP
2026-01-18	Eagles	@	Canucks	Eagles4,Canucks1	RECAP
2026-01-20	Wranglers	@	Eagles	Wranglers3,Eagles2	RECAP
2026-01-22	Eagles	@	Thunderbirds	Eagles4,Thunderbirds2	RECAP
2026-01-23	Eagles	@	Stars	Eagles1,Stars4	RECAP
2026-01-27	Checkers	@	Eagles	Checkers3,Eagles0	RECAP
2026-01-31	Condors	@	Eagles	Condors3,Eagles2	RECAP
2026-02-02	Eagles	@	Marlies	Eagles5,Marlies1	RECAP
2026-02-03	Canucks	@	Eagles	Canucks2,Eagles4	RECAP
2026-02-06	Eagles	@	Gulls	Eagles2,Gulls3 (OT)	RECAP
2026-02-08	IceHogs	@	Eagles	IceHogs2,Eagles1	RECAP
2026-02-10	Eagles	@	IceHogs	Eagles3,IceHogs0	RECAP
2026-02-13	Eagles	@	IceHogs	Eagles2,IceHogs3	RECAP
2026-02-15	Firebirds	@	Eagles	Firebirds0,Eagles1	RECAP
2026-02-17	Eagles	@	Wolves	Eagles1,Wolves3	RECAP
2026-02-18	Eagles	@	Barracuda	Eagles1,Barracuda3	RECAP
2026-02-20	Moose	@	Eagles	Moose2,Eagles3 (SO)	RECAP
2026-02-24	Eagles	@	Reign	Eagles5,Reign4	RECAP
2026-02-25	Griffins	@	Eagles	Griffins4,Eagles2	RECAP
2026-03-01	Eagles	@	Condors	Eagles4,Condors1	RECAP
2026-03-03	Wolves	@	Eagles	Wolves4,Eagles2	RECAP
2026-03-04	Eagles	@	Wranglers	Eagles2,Wranglers4	RECAP
2026-03-06	Stars	@	Eagles	Stars3,Eagles2 (OT)	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
2026-03-10	Wolves	@	Eagles	Wolves1,Eagles2	RECAP
2026-03-13	Eagles	@	Firebirds	Eagles2,Firebirds1	RECAP
2026-03-15	Wild	@	Eagles	Wild6,Eagles5 (OT)	RECAP
2026-03-20	Silver Knights	@	Eagles
2026-03-24	Barracuda	@	Eagles
2026-03-29	Eagles	@	Wolves
2026-03-31	Rocket	@	Eagles
2026-04-01	Eagles	@	Canucks

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,299,429$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Colorado
	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
2,299,429$	2,299,429$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,730,300$	12,775$	1,846,985$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	33	18,330$	384,930$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
384,930$	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

Rasmus Asplund is suspended for 15 more games.
Kieffer Bellows is suspended for 15 more games.
Chaz Lucius is suspended for 15 more games.
Nikita Grebyonkin is suspended for 15 more games.