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
Georgii Merkulov	0	C/LW	100.00	61	38	89	64	69	70	85	64	70	67	60	63	64	63	62	0	25	73	25	800,000$/2yrs
Zac Funk	0	LW/RW	99.00	76	41	69	68	81	72	88	65	41	57	61	63	67	58	55	0	45	72	22	905,000$/1yrs
David Tomasek	0	C/RW	100.00	65	33	84	57	83	73	70	56	74	57	63	53	60	75	73	0	29	70	30	1,200,000$/1yrs
Olle Lycksell	0	RW	97.00	61	31	96	58	63	74	71	55	60	65	55	54	55	68	68	0	38	69	26	800,000$/2yrs
Jean-Luc Foudy	0	C	100.00	64	38	84	57	68	63	84	59	68	58	53	62	55	59	58	0	37	67	23	850,000$/3yrs
Arshdeep Bains	0	LW	100.00	68	32	89	56	72	71	73	54	58	58	56	56	55	66	65	0	31	67	25	900,000$/2yrs
Koehn Ziemmer (R)	0	RW	98.00	63	39	86	57	78	63	70	57	37	58	53	60	55	56	54	0	35	67	21	845,833$/2yrs
Cam Squires (R)	0	RW	100.00	72	39	73	58	67	63	89	54	49	56	57	60	56	56	53	0	49	67	20	870,000$/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	42	66	21	870,000$/1yrs
Julian Lutz (R)	0	C/LW/RW	100.00	65	39	82	55	77	61	83	58	63	55	52	61	53	55	54	0	46	66	21	925,000$/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	43	66	21	896,667$/2yrs
Cam Hausinger	0	RW	100.00	94	41	53	55	72	63	60	56	52	42	51	63	55	64	69	0	31	65	27	800,000$/2yrs
Carson Ceulemans (R)	0	D	100.00	82	41	61	62	79	68	60	56	30	56	52	60	62	56	52	0	47	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
Kyle Burroughs	0	D	100.00	71	55	60	55	75	68	72	50	30	57	50	53	50	75	71	0	29	67	30	1,100,000$/1yrs
Sean Behrens (R)	0	D	100.00	63	38	86	54	67	63	70	51	30	59	50	62	55	57	56	0	41	67	22	905,833$/2yrs
Ryan Johnson (R)	0	D	100.00	68	39	78	51	67	63	87	49	30	56	51	64	54	61	59	0	40	66	24	850,000$/2yrs
Ben Danford (R)	0	D	100.00	61	39	86	56	74	62	89	52	30	56	51	61	53	54	52	0	43	66	20	964,000$/2yrs
Jack Matier (R)	0	D	100.00	63	40	86	49	86	61	75	48	30	54	51	62	52	57	56	0	45	65	22	801,667$/1yrs
Scratches
Rasmus Asplund	0	C/LW	100.00	62	38	88	59	73	69	80	63	67	60	61	67	60	68	67	0	20	72	28	800,000$/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$/1yrs
Devin Kaplan (R)	0	RW	100.00	78	41	61	57	79	62	72	57	41	55	54	60	54	56	52	0	20	66	22
Thomas Caron	0	LW	100.00	67	40	79	50	85	60	68	62	37	48	50	65	49	62	60	0	23	65	25	800,000$/2yrs
Blake Murray (R)	0	C	100.00	59	38	92	51	75	60	68	61	71	51	49	64	50	61	60	0	19	65	24	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$/1yrs
Dmitri Kuzmin	0	D	100.00	64	38	85	47	71	61	82	47	30	52	52	62	52	57	56	0	19	64	22	795,556$/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
Jakub Malek	0	99.00	77	74	73	79	76	78	77	77	78	78	77	62	69	0	56	80	23	867,500$/1yrs
Erik Portillo	0	100.00	68	68	67	93	52	76	69	68	76	75	71	63	63	0	49	75	25	950,000$/1yrs
Scratches
Hugo Alnefelt	0	100.00	75	82	71	81	69	76	75	75	76	76	75	62	64	0	20	78	24	900,000$/1yrs

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	59	12	23	35	-21	32	0	190	238	65	160	5.04%	17	21.77	2	5	7	188	0	0	0	93	1	0	37.21%	731	0	1	0	0.54	0	6
2	Carson Ceulemans	Eagles (COL)	D	60	5	28	33	-1	66	10	192	91	28	57	5.49%	85	20.94	3	6	9	203	0	0	0	45	2	0	0.00%	0	0	0	0	0.53	0	0
3	Cam Squires	Eagles (COL)	RW	60	19	11	30	11	24	0	143	137	22	114	13.87%	12	19.16	2	6	8	176	1	0	1	97	1	0	43.45%	267	0	0	0	0.52	1	1
4	Ryan Johnson	Eagles (COL)	D	60	4	22	26	-14	8	0	24	75	22	41	5.33%	88	24.10	2	6	8	195	0	0	0	121	1	0	0.00%	0	0	0	0	0.36	0	0
5	Nico Myatovic	Eagles (COL)	C/LW	60	11	14	25	10	14	10	29	137	27	103	8.03%	11	14.84	0	0	0	0	0	0	0	0	2	0	40.00%	50	0	0	0	0.56	0	0
6	Bryce McConnell-Barker	Eagles (COL)	C	60	10	14	24	10	22	0	37	119	27	91	8.40%	7	15.45	0	0	0	12	0	0	0	18	3	0	47.28%	1085	0	0	0	0.52	0	0
7	Olle Lycksell	Eagles (COL)	RW	60	5	16	21	-13	0	0	21	106	33	92	4.72%	8	19.93	4	3	7	170	0	0	0	70	2	1	53.16%	158	0	0	0	0.35	0	0
8	Julian Lutz	Eagles (COL)	C/LW/RW	60	5	16	21	-2	8	0	12	69	17	56	7.25%	16	12.42	3	3	6	91	0	0	0	40	0	0	43.87%	734	0	0	0	0.56	2	6
9	Jean-Luc Foudy	Eagles (COL)	C	50	8	9	17	-15	10	0	60	100	21	65	8.00%	6	16.00	1	5	6	53	0	0	0	59	1	1	38.82%	510	0	0	0	0.43	0	0
10	Koehn Ziemmer	Eagles (COL)	RW	57	9	8	17	-9	10	0	45	96	28	47	9.38%	16	16.52	4	2	6	156	0	0	0	13	0	3	40.78%	1172	0	0	0	0.36	1	2
11	Georgii Merkulov	Eagles (COL)	C/LW	29	6	10	16	-14	10	0	29	73	31	65	8.22%	3	19.99	1	5	6	71	0	0	0	22	2	1	43.48%	69	0	0	0	0.55	0	2
12	Sean Behrens	Eagles (COL)	D	37	1	14	15	3	34	0	68	25	6	18	4.00%	20	14.06	0	1	1	27	0	0	0	19	0	1	0.00%	0	0	0	0	0.58	0	0
13	Vincent Iorio	Eagles (COL)	D	60	4	9	13	8	28	0	83	64	16	36	6.25%	79	19.78	1	1	2	171	0	1	1	111	0	0	0.00%	0	0	0	0	0.22	0	0
14	Jack Matier	Eagles (COL)	D	60	4	7	11	-7	24	0	90	40	9	19	10.00%	47	14.46	0	0	0	27	0	0	0	16	0	0	0.00%	0	0	0	0	0.25	0	0
15	Ben Danford	Eagles (COL)	D	60	2	9	11	-11	24	0	62	36	16	28	5.56%	69	17.83	1	1	2	36	0	0	0	113	1	0	0.00%	0	0	0	0	0.21	0	0
16	Arshdeep Bains	Eagles (COL)	LW	54	4	6	10	-4	4	0	42	52	19	47	7.69%	7	11.44	1	0	1	79	0	0	0	24	0	1	42.11%	38	0	0	0	0.32	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	50	3	1	4	0	18	0	60	33	10	25	9.09%	8	6.51	0	0	0	11	0	0	0	0	0	0	25.00%	24	0	0	0	0.25	0	0
19	Kyle Burroughs	Eagles (COL)	D	4	1	1	2	1	0	0	0	1	0	0	100.00%	0	3.31	1	0	1	1	0	0	0	8	0	0	0.00%	0	0	0	0	3.02	0	0
20	David Tomasek	Eagles (COL)	C/RW	12	1	0	1	1	0	0	8	9	4	2	11.11%	0	11.23	0	0	0	16	0	0	0	0	0	0	60.00%	15	0	0	0	0.15	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	29	0	0	0	0	0	0	0	1	0	1	0.00%	0	0.25	0	0	0	0	0	0	0	0	0	0	25.00%	4	0	0	0	0.00	0	0
Team Total or Average			1057	119	219	338	-65	347	25	1217	1525	404	1092	7.80%	503	15.28	26	44	70	1697	1	1	2	886	16	8	42.75%	5048	0	1	0	0.42	4	17

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	Jakub Malek	Eagles (COL)	33	15	14	3	0.919	2.53	1944	4	2	82	1017	0	0.611	18	32	28	3	3	1
2	Erik Portillo	Eagles (COL)	29	10	15	3	0.924	2.41	1691	0	2	68	893	0	0.833	6	28	32	3	5	0
Team Total or Average		62	25	29	6	0.921	2.48	3636	4	4	150	1910	0	0.667	24	60	60	6	8	1

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 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
Georgii Merkulov	C/LW	25	800,000$	800,000$	800,000$	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
Jakub Malek	G	23	867,500$	867,500$	RFA
Jean-Luc Foudy	C	23	850,000$	850,000$	850,000$	850,000$	RFA
Julian Lutz	C/LW/RW	21	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	# - Koehn Ziemmer	# - Arshdeep Bains
# - Olle Lycksell	# - Zac Funk	# - Georgii Merkulov
# - Nico Myatovic	# - Bryce McConnell-Barker	# - Cam Squires
# - Koehn Ziemmer	# - Zac Funk	# - Olle Lycksell

Defensive Pairings
# - Carson Ceulemans	# - Ryan Johnson
# - Sean Behrens	# - Vincent Iorio
# - Ben Danford	# - Jack Matier

1st Power Play Unit
# - Georgii Merkulov		# - Koehn Ziemmer		# - Arshdeep Bains
# - Carson Ceulemans			# - Ryan Johnson

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

Goalies
# - Jakub Malek		# - 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	1	0	1	0	0	0	2	3	-1	0	0.000	2	4	6	0	43	45	50	8	26	600	532	544	51	35	9	2	16	3	0	0.00%	1	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	40.0%	7.7%	91.4%	99.1	DULL
2	Phantoms	1	0	0	0	1	0	3	2	1	2	1.000	3	4	7	0	43	45	50	8	24	600	532	544	51	26	6	6	27	4	1	25.00%	3	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	55	600	532	544	51	74	19	12	31	8	0	0.00%	5	2	60.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	29	600	532	544	51	27	6	6	17	2	0	0.00%	2	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	26	600	532	544	51	36	15	12	23	0	0	0.00%	6	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	40.0%	7.7%	91.7%	99.4	DULL
6	Wolves	3	2	1	0	0	0	6	5	1	4	0.667	6	11	17	0	43	45	50	8	85	600	532	544	51	94	31	16	57	7	0	0.00%	7	1	85.71%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	60.0%	7.1%	94.7%	101.7	DULL
7	Wolf Pack	2	2	0	0	0	0	6	3	3	4	1.000	6	11	17	0	43	45	50	8	61	600	532	544	51	58	16	10	37	3	1	33.33%	4	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	35	600	532	544	51	29	9	8	20	3	1	33.33%	4	1	75.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	31	600	532	544	51	45	12	8	17	5	0	0.00%	4	1	75.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	40.0%	6.5%	91.1%	97.6	Unlucky
10	Wild	4	0	3	1	0	0	11	15	-4	1	0.125	11	22	33	0	43	45	50	8	142	600	532	544	51	166	44	25	95	14	4	28.57%	9	3	66.67%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	36.8%	7.7%	91.0%	98.7	Unlucky
11	Canucks	2	2	0	0	0	0	8	3	5	4	1.000	8	13	21	0	43	45	50	8	63	600	532	544	51	55	18	17	50	6	1	16.67%	4	1	75.00%	1	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	46	600	532	544	51	65	22	18	44	7	1	14.29%	8	1	87.50%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	142	600	532	544	51	155	49	28	114	25	3	12.00%	14	1	92.86%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	27	600	532	544	51	23	13	2	18	3	0	0.00%	1	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	100.0%	11.1%	100.0%	111.1	LUCKY
15	Condors	1	0	1	0	0	0	2	3	-1	0	0.000	2	3	5	0	43	45	50	8	36	600	532	544	51	42	4	4	29	4	0	0.00%	2	1	50.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	50.0%	5.6%	92.9%	98.4	DULL
16	Thunderbirds	1	1	0	0	0	0	4	2	2	2	1.000	4	7	11	0	43	45	50	8	32	600	532	544	51	20	7	4	19	7	2	28.57%	1	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	54	600	532	544	51	56	23	6	38	14	0	0.00%	3	1	66.67%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	55	600	532	544	51	56	17	8	53	9	0	0.00%	4	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	24	600	532	544	51	31	6	2	34	5	2	40.00%	1	1	0.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	149	600	532	544	51	158	43	26	116	18	2	11.11%	13	2	84.62%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	16	600	532	544	51	35	12	2	23	2	0	0.00%	1	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	21	600	532	544	51	41	12	4	22	2	0	0.00%	2	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	162	600	532	544	51	152	44	31	99	19	1	5.26%	12	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	54	600	532	544	51	74	24	14	38	5	1	20.00%	6	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	33.3%	7.4%	91.9%	99.3	DULL
25	Stars	4	2	2	0	0	0	9	7	2	4	0.500	9	17	26	0	43	45	50	8	84	600	532	544	51	121	34	20	94	15	2	13.33%	10	1	90.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	53.8%	10.7%	94.2%	104.9	LUCKY
26	Marlies	1	1	0	0	0	0	5	1	4	2	1.000	5	6	11	0	43	45	50	8	34	600	532	544	51	21	6	2	23	6	3	50.00%	1	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	27	600	532	544	51	30	7	13	15	2	0	0.00%	4	2	50.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	19	600	532	544	51	36	7	10	22	2	0	0.00%	5	0	100.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	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	43	45	50	8	25	600	532	544	51	32	8	8	17	4	0	0.00%	4	1	75.00%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	33.3%	4.0%	90.6%	94.6	Unlucky
30	Firebirds	4	1	3	0	0	0	8	12	-4	2	0.250	8	13	21	1	43	45	50	8	121	600	532	544	51	117	36	21	91	16	3	18.75%	7	1	85.71%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	31.3%	6.6%	89.7%	96.4	Unlucky
	_Vs Division	26	9	16	2	2	1	60	63	-3	25	0.481	60	105	165	2	43	45	50	8	765	600	532	544	51	828	244	140	575	112	14	12.50%	62	8	87.10%	0	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	45.5%	7.8%	92.4%	100.2	DULL
	_Vs Conference	42	12	22	3	3	2	93	107	-14	35	0.417	93	162	255	3	43	45	50	8	1208	600	532	544	51	1358	396	246	920	159	18	11.32%	105	14	86.67%	1	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	44.6%	7.7%	92.1%	99.8	DULL
	_Since Last GM Reset	60	20	29	3	5	3	143	153	-10	56	0.467	143	241	384	4	43	45	50	8	1705	600	532	544	51	1910	559	345	1299	220	28	12.73%	148	21	85.81%	1	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	46.6%	8.4%	92.0%	100.4	DULL
	Total	60	20	29	3	5	3	143	153	-10	56	0.467	143	241	384	4	43	45	50	8	1705	600	532	544	51	1910	559	345	1299	220	28	12.73%	148	21	85.81%	1	873	1992	43.83%	931	2162	43.06%	376	900	41.78%	1367	906	1458	478	818	402	46.6%	8.4%	92.0%	100.4	DULL

	Puck Time
Offensive Zone	22
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	1992
Neutral Zone Start	900
Defensive Zone Start	2162

	Puck Time
With Puck	29
Without Puck	30

	Faceoffs
Faceoffs Won	2180
Faceoffs Lost	2874

	Team Average Shots after	League Average Shots after
1st Period	10.0	9.57
2nd Period	18.9	20.31
3rd Period	27.9	30.68
Overtime	28.8	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.7	0.64
2nd Period	1.5	1.65
3rd Period	2.3	2.67
Overtime	2.4	2.83


Even Strenght Goal	114
PP Goal	28
PK Goal	1
Empty Net Goal	0

	Home	Away
Win	13	12
Lost	14	15
Overtime Lost	2	4


PP Attempt	220
PP Goal	28
PK Attempt	148
PK Goal Against	21

	Home
Shots For	28.4
Shots Against	31.8
Goals For	2.4
Goals Against	2.6
Hits	21.7
Shots Blocked	9.3
Pim	5.8

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
2026-03-03	Wolves	@	Eagles
2026-03-04	Eagles	@	Wranglers
2026-03-06	Stars	@	Eagles
Trade Deadline --- Trades can�t be done after this day is simulated!
2026-03-10	Wolves	@	Eagles
2026-03-13	Eagles	@	Firebirds
2026-03-15	Wild	@	Eagles
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
2,281,179$	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
7	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,281,179$	2,281,179$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,438,588$	12,673$	1,644,159$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	49	18,229$	674,473$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
674,473$	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

Hugo Alnefelt is suspended for 22 more games.
Rasmus Asplund is suspended for 22 more games.
Kieffer Bellows is suspended for 22 more games.
Chaz Lucius is suspended for 22 more games.
Nikita Grebyonkin is suspended for 22 more games.

Game Center

Eagles25-29-6, 56pts

54Final

Reign20-29-10, 50pts

Griffins37-17-5, 79pts

42Final

Eagles25-29-6, 56pts

Griffins37-17-5, 79pts

Thu, Feb 26

Eagles25-29-6, 56pts

Fri, Oct 10

Wolves30-27-4, 64pts

Eagles25-29-6, 56pts

Tue, Oct 14

Moose23-24-9, 55pts

TRANSACTIONS

Team Info


	Head Coach	Derek Lalonde
	Division	Central
	City	Colorado
	Stadium Capacity	3,000

Eagles Affiliation


	General Manager	Samuel Veillette
	Head Coach	Don Granato
	Stadium	Pepsi Center
	Capacity	18,000

Team Leaders

GOALS Cam Squires Eagles	19 GOALS
POINTS Zac Funk Eagles	35 POINTS
WINS Jakub Malek Eagles	15 WINS
Expanded Player Leaderboard

Team Stats

Goals For 143 2.38 GFG	Goals Against 153 2.55 GAA
Power Play Percentage 12.7% 28 GF	Penalty Kill Percentage 85.8% 21 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain