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
Samuel Fagemo	0	LW	98.00	63	39	85	60	78	67	88	61	42	57	63	64	60	63	61	0	75	70	25	800,000$/2yrs
Mike Hardman	0	LW/RW	99.00	61	39	89	59	81	67	84	62	69	58	60	65	59	65	63	0	72	70	27	800,000$/1yrs
Adam Beckman (R)	0	LW	99.00	65	39	83	61	74	67	84	60	70	61	61	63	61	61	59	0	74	70	24	800,000$/2yrs
Ben Meyers	0	C	100.00	69	32	94	55	74	71	71	57	77	59	59	59	58	70	69	0	73	69	27	800,000$/1yrs
Martin Chromiak (R)	0	RW	99.00	58	38	94	60	74	66	89	59	45	59	60	62	59	59	59	0	73	69	23	900,000$/3yrs
Mikael Pyyhtia	0	LW	100.00	62	32	95	58	66	75	75	53	62	56	59	72	56	65	64	0	77	69	24	1,250,000$/2yrs
Jon-Randall Avon	0	C	100.00	59	37	92	58	69	64	85	58	66	57	55	61	56	57	57	0	73	67	22	800,000$/1yrs
Xavier Simoneau (R)	81	C/LW/RW	100.00	83	41	53	56	65	64	86	60	62	57	53	63	55	61	56	0	77	67	24	800,000$/2yrs
Otto Stenberg (R)	0	C/LW/RW	98.00	58	37	95	59	70	63	79	56	60	58	55	59	56	54	53	0	78	67	20	918,333$/3yrs
Ondrej Becher (R)	0	C	100.00	60	38	91	58	75	63	85	57	66	58	55	60	56	56	55	0	62	67	22	850,000$/3yrs
Coulson Pitre (R)	0	C/RW	100.00	61	38	89	56	74	62	80	57	66	56	52	61	54	55	54	0	33	66	21	860,000$/2yrs
Isaac Howard (R)	0	LW/RW	100.00	55	32	80	58	68	71	69	53	55	55	62	48	58	60	58	0	74	66	21	950,000$/3yrs
Owen Allard (R)	0	C/LW	100.00	60	38	91	56	75	61	71	57	66	53	54	61	54	55	55	0	73	66	22	869,167$/3yrs
Maksymilian Szuber (R)	0	D	98.00	69	40	77	54	81	65	86	53	30	60	54	63	57	59	57	0	66	69	23	859,167$/1yrs
Tobie Bisson	0	D	100.00	61	39	89	49	79	64	86	48	30	55	52	68	53	68	67	0	71	67	29	800,000$/3yrs
Wyatte Wylie	0	D	100.00	64	39	84	49	74	63	81	48	30	54	52	66	53	64	63	0	70	66	26	900,000$/3yrs
Stanislav Svozil (R)	0	D	99.00	67	39	80	52	71	63	86	50	30	57	52	62	54	57	55	0	78	66	23	825,000$/1yrs
Ethan Samson (R)	0	D	99.00	66	39	81	50	72	63	85	50	30	56	55	62	55	57	55	0	44	66	22	846,667$/1yrs
Stian Solberg (R)	0	D	99.00	73	41	70	50	81	62	74	50	30	56	55	60	55	54	51	0	78	66	20	975,000$/2yrs
Scratches
Tyler Madden	0	C	100.00	60	37	91	58	66	66	81	62	70	61	55	65	58	65	64	0	19	70	26	950,000$/2yrs
Oskar Steen	0	C/RW	100.00	82	32	95	55	73	71	70	53	55	50	54	60	53	70	69	0	20	67	27	800,000$/1yrs
Aidan Dudas	0	LW	100.00	67	38	80	53	63	62	78	61	46	53	53	65	53	63	60	0	19	66	25	850,000$/2yrs
Jett Luchanko (R)	0	C	100.00	65	39	82	57	71	61	90	52	66	55	53	58	54	52	50	0	20	64	19	942,500$/3yrs
Ty Pelton-Byce	0	C	100.00	70	39	89	52	79	70	60	51	58	45	46	55	53	65	67	0	19	62	28	800,000$/2yrs
Patrick Bajkov	46	LW/RW	100.00	55	30	99	58	72	56	60	56	51	42	42	55	50	71	63	0	19	61	28	800,000$/2yrs
Tarmo Reunanen	0	D	100.00	64	36	86	65	71	78	60	64	30	58	49	63	51	64	66	0	19	72	27	925,000$/2yrs
Topi Niemela (R)	0	D	100.00	61	38	89	53	70	64	80	51	30	59	51	63	55	59	58	0	20	67	23	975,000$/2yrs
Jared McIsaac	0	D	100.00	63	39	85	48	76	61	79	46	30	54	47	65	50	62	61	0	19	65	25	1,000,000$/3yrs
Xavier Bernard	0	D	100.00	72	41	71	48	85	62	71	47	30	53	50	65	52	62	60	0	20	65	25	850,000$/3yrs
Ryan Chesley (R)	0	D	100.00	59	38	92	49	75	62	72	49	30	54	55	61	55	56	55	0	48	65	21	923,333$/3yrs
Jake Furlong (R)	0	D	100.00	60	38	91	48	77	60	84	47	30	53	50	61	52	55	55	0	13	64	21	870,833$/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
Dylan Garand	0	98.00	72	76	70	68	79	76	72	72	76	76	73	60	61	0	80	77	23	1,000,000$/2yrs
Taylor Gauthier	0	98.00	74	72	71	82	67	75	74	74	75	75	74	62	62	0	21	77	25	800,000$/2yrs
Scratches
Ruslan Khazheyev	0	100.00	68	63	66	82	57	74	66	68	74	75	69	56	56	0	24	72	21	845,000$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeff Blashill	55	64	70	88	73	66	69	USA	50	5	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	TA	EG	HT	P/20	PSG	PSS
1	Samuel Fagemo	Firebirds (SEA)	LW	56	33	29	62	21	14	0	105	235	61	186	14.04%	10	20.52	12	7	19	139	0	70	9	3	46.15%	143	0	0	0	1.08	1	1
2	Otto Stenberg	Firebirds (SEA)	C/LW/RW	56	12	33	45	21	12	0	47	121	36	90	9.92%	8	19.28	2	12	14	174	0	46	3	1	44.69%	1526	0	0	0	0.83	0	1
3	Mike Hardman	Firebirds (SEA)	LW/RW	56	26	15	41	8	18	0	73	193	50	133	13.47%	9	17.67	6	4	10	165	0	120	4	1	62.96%	81	0	0	1	0.83	0	2
4	Adam Beckman	Firebirds (SEA)	LW	56	12	27	39	3	28	10	73	183	59	144	6.56%	14	20.75	1	8	9	155	0	129	1	1	45.53%	123	0	0	0	0.67	0	2
5	Isaac Howard	Firebirds (SEA)	LW/RW	48	11	26	37	21	18	0	40	121	36	68	9.09%	10	13.51	1	4	5	85	0	0	2	1	43.33%	60	0	0	0	1.14	0	0
6	Mikael Pyyhtia	Firebirds (SEA)	LW	54	13	23	36	9	10	0	45	145	32	105	8.97%	18	15.80	0	3	3	40	0	32	4	0	54.36%	631	0	0	0	0.84	0	0
7	Xavier Simoneau	Firebirds (SEA)	C/LW/RW	56	15	15	30	0	57	5	192	111	31	89	13.51%	5	14.96	3	6	9	83	0	103	3	0	52.60%	673	0	0	0	0.72	0	0
8	Maksymilian Szuber	Firebirds (SEA)	D	56	5	23	28	14	46	10	93	75	27	33	6.67%	65	21.77	2	4	6	154	0	131	1	0	0.00%	0	0	0	0	0.46	0	0
9	Tobie Bisson	Firebirds (SEA)	D	53	3	25	28	27	17	5	64	32	6	22	9.38%	59	17.38	0	1	1	10	0	70	0	0	0.00%	0	0	0	0	0.61	0	0
10	Ondrej Becher	Firebirds (SEA)	C	56	9	18	27	11	16	0	46	105	24	65	8.57%	4	12.25	0	0	0	17	0	0	1	0	52.81%	871	0	0	0	0.79	0	0
11	Martin Chromiak	Firebirds (SEA)	RW	56	15	9	24	1	10	0	34	142	33	124	10.56%	8	15.48	3	0	3	57	0	4	2	2	32.84%	67	0	0	0	0.55	0	0
12	Stanislav Svozil	Firebirds (SEA)	D	56	5	15	20	5	26	0	54	35	15	34	14.29%	51	14.00	1	6	7	73	0	70	0	1	0.00%	0	0	0	0	0.51	0	0
13	Stian Solberg	Firebirds (SEA)	D	56	2	18	20	3	63	15	147	50	17	46	4.00%	77	21.69	1	6	7	166	0	86	0	0	0.00%	0	0	0	0	0.33	0	0
14	Owen Allard	Firebirds (SEA)	C/LW	56	7	13	20	8	4	0	17	106	26	65	6.60%	6	11.79	1	2	3	99	0	52	1	1	52.76%	398	0	0	0	0.61	0	0
15	Wyatte Wylie	Firebirds (SEA)	D	53	7	10	17	15	14	0	62	45	10	33	15.56%	67	18.10	1	1	2	78	0	112	2	0	0.00%	0	0	0	0	0.35	0	0
16	Ryan Chesley	Firebirds (SEA)	D	37	3	13	16	7	41	5	82	44	13	38	6.82%	49	21.46	1	1	2	106	0	76	1	0	0.00%	0	0	1	0	0.40	0	0
17	Jon-Randall Avon	Firebirds (SEA)	C	53	2	7	9	-2	4	0	2	40	12	38	5.00%	6	5.49	0	0	0	3	0	22	1	0	39.08%	325	0	0	0	0.62	0	0
18	Ethan Samson	Firebirds (SEA)	D	38	0	5	5	0	31	5	69	33	8	20	0.00%	43	20.73	0	2	2	93	0	53	0	0	0.00%	0	0	0	0	0.13	0	0
19	Coulson Pitre	Firebirds (SEA)	C/RW	31	2	2	4	6	10	0	21	41	15	36	4.88%	2	11.24	1	0	1	6	0	21	1	0	43.30%	97	0	0	0	0.23	0	0
20	Jake Furlong	Firebirds (SEA)	D	3	0	1	1	1	0	0	2	0	0	1	0.00%	4	16.52	0	0	0	1	0	2	0	0	0.00%	0	0	0	0	0.40	0	0
21	Ben Meyers	Firebirds (SEA)	C	51	0	0	0	0	2	0	9	19	5	13	0.00%	1	4.44	0	0	0	0	0	3	0	0	40.00%	20	0	0	0	0.00	0	0
22	Xavier Bernard	Firebirds (SEA)	D	19	0	0	0	-1	0	0	3	1	0	2	0.00%	0	1.42	0	0	0	7	0	3	0	0	0.00%	0	0	0	0	0.00	0	0
23	Jett Luchanko	Firebirds (SEA)	C	5	0	0	0	0	0	0	0	0	0	0	0.00%	0	1.10	0	0	0	1	0	1	0	0	75.00%	4	0	0	0	0.00	0	0
Team Total or Average			1061	182	327	509	178	441	55	1280	1877	516	1385	9.70%	516	15.61	36	67	103	1722	0	1215	36	11	48.81%	5019	0	1	1	0.61	1	6

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	Dylan Garand	Firebirds (SEA)	24	15	6	2	0.929	2.13	1410	4	1	50	700	0	0	0	0.400	5	23	32	3	3	0
2	Taylor Gauthier	Firebirds (SEA)	8	4	4	0	0.918	3.01	478	2	0	24	291	0	1	1	0.000	0	8	1	0	0	0
Team Total or Average		32	19	10	2	0.925	2.35	1889	6	1	74	991	0	1	1	0.400	5	31	33	3	3	0

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Adam Beckman	LW	24	800,000$	800,000$	800,000$	RFA
Aidan Dudas	LW	25	850,000$	850,000$	850,000$	RFA
Ben Meyers	C	27	800,000$	800,000$	UFA
Coulson Pitre	C/RW	21	860,000$	860,000$	860,000$	RFA
Dylan Garand	G	23	1,000,000$	1,000,000$	1,000,000$	RFA
Ethan Samson	D	22	846,667$	846,667$	RFA
Isaac Howard	LW/RW	21	950,000$	950,000$	950,000$	950,000$	RFA
Jake Furlong	D	21	870,833$	870,833$	RFA
Jared McIsaac	D	25	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Jett Luchanko	C	19	942,500$	942,500$	942,500$	942,500$	RFA
Jon-Randall Avon	C	22	800,000$	800,000$	RFA
Maksymilian Szuber	D	23	859,167$	859,167$	RFA
Martin Chromiak	RW	23	900,000$	900,000$	900,000$	900,000$	RFA
Mikael Pyyhtia	LW	24	1,250,000$	1,250,000$	1,250,000$	RFA
Mike Hardman	LW/RW	27	800,000$	800,000$	UFA
Ondrej Becher	C	22	850,000$	850,000$	850,000$	850,000$	RFA
Oskar Steen	C/RW	27	800,000$	800,000$	UFA
Otto Stenberg	C/LW/RW	20	918,333$	918,333$	918,333$	918,333$	RFA
Owen Allard	C/LW	22	869,167$	869,167$	869,167$	869,167$	RFA
Patrick Bajkov	LW/RW	28	800,000$	800,000$	800,000$	UFA
Ruslan Khazheyev	G	21	845,000$	845,000$	845,000$	RFA
Ryan Chesley	D	21	923,333$	923,333$	923,333$	923,333$	RFA
Samuel Fagemo	LW	25	800,000$	800,000$	800,000$	RFA
Stanislav Svozil	D	23	825,000$	825,000$	RFA
Stian Solberg	D	20	975,000$	975,000$	975,000$	RFA
Tarmo Reunanen	D	27	925,000$	925,000$	925,000$	UFA
Taylor Gauthier	G	25	800,000$	800,000$	800,000$	RFA
Tobie Bisson	D	29	800,000$	800,000$	800,000$	800,000$	UFA
Topi Niemela	D	23	975,000$	975,000$	975,000$	RFA
Ty Pelton-Byce	C	28	800,000$	800,000$	800,000$	UFA
Tyler Madden	C	26	950,000$	950,000$	950,000$	UFA
Wyatte Wylie	D	26	900,000$	900,000$	900,000$	900,000$	UFA
Xavier Bernard	D	25	850,000$	850,000$	850,000$	850,000$	UFA
Xavier Simoneau	C/LW/RW	24	800,000$	800,000$	800,000$	RFA

Lines

Forward Lines
# - Samuel Fagemo	# - Otto Stenberg	# - Mike Hardman
# - Adam Beckman	# - Xavier Simoneau	# - Martin Chromiak
# - Mikael Pyyhtia	# - Ondrej Becher	# - Coulson Pitre
# - Isaac Howard	# - Owen Allard	# - Samuel Fagemo

Defensive Pairings
# - Maksymilian Szuber	# - Ethan Samson
# - Stian Solberg	# - Stanislav Svozil
# - Tobie Bisson	# - Wyatte Wylie

1st Power Play Unit
# - Mikael Pyyhtia		# - Otto Stenberg		# - Samuel Fagemo
# - Maksymilian Szuber			# - Ethan Samson

2nd Power Play Unit
# - Mike Hardman		# - Xavier Simoneau		# - Martin Chromiak
# - Stian Solberg			# - Stanislav Svozil

Goalies
# - Taylor Gauthier		# - Dylan Garand

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	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	2	0	0	0	0	6	3	3	4	1.000	6	9	15	0	0	62	57	61	3	69	607	613	648	13	54	16	16	47	8	2	25.00%	8	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	57.1%	8.7%	94.4%	103.1	DULL
2	Phantoms	1	1	0	0	0	0	4	1	3	2	1.000	4	7	11	0	0	62	57	61	3	25	607	613	648	13	21	12	2	24	3	0	0.00%	1	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	80.0%	16.0%	95.2%	111.2	LUCKY
3	Comets	1	0	1	0	0	0	2	4	-2	0	0.000	2	3	5	1	0	62	57	61	3	35	607	613	648	13	37	6	10	29	2	0	0.00%	5	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	33.3%	5.7%	89.2%	94.9	Unlucky
4	Islanders	1	1	0	0	0	0	2	0	2	2	1.000	2	4	6	0	1	62	57	61	3	36	607	613	648	13	29	5	4	31	5	1	20.00%	2	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	100.0%	5.6%	100.0%	105.6	DULL
5	Wolves	5	3	2	0	0	0	15	14	1	6	0.600	15	26	41	0	0	62	57	61	3	159	607	613	648	13	156	42	48	104	20	4	20.00%	13	4	69.23%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	52.4%	9.4%	91.0%	100.5	FUN
6	Eagles	4	3	1	0	0	0	12	8	4	6	0.750	12	22	34	0	0	62	57	61	3	117	607	613	648	13	121	22	39	86	7	1	14.29%	16	3	81.25%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	68.8%	10.3%	93.4%	103.6	LUCKY
7	Wolf Pack	1	0	0	1	0	0	3	2	1	2	1.000	3	6	9	0	0	62	57	61	3	27	607	613	648	13	32	6	4	16	2	1	50.00%	2	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	50.0%	11.1%	93.8%	104.9	LUCKY
8	Rocket	1	1	0	0	0	0	4	2	2	2	1.000	4	6	10	0	0	62	57	61	3	43	607	613	648	13	32	7	6	22	6	1	16.67%	3	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	60.0%	9.3%	93.8%	103.1	LUCKY
9	Bears	1	0	1	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	62	57	61	3	39	607	613	648	13	29	6	2	26	3	0	0.00%	1	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	40.0%	5.1%	89.7%	94.8	Unlucky
10	Wild	5	4	1	0	0	0	20	14	6	8	0.800	20	36	56	0	0	62	57	61	3	175	607	613	648	13	165	50	53	106	21	2	9.52%	16	6	62.50%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	69.2%	11.4%	91.5%	102.9	LUCKY
11	Canucks	2	1	1	0	0	0	6	5	1	2	0.500	6	11	17	0	0	62	57	61	3	75	607	613	648	13	55	10	14	47	7	2	28.57%	7	2	71.43%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	57.1%	8.0%	90.9%	98.9	Unlucky
12	Reign	1	1	0	0	0	0	5	2	3	2	1.000	5	10	15	0	0	62	57	61	3	55	607	613	648	13	30	15	6	13	6	3	50.00%	3	1	66.67%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	66.7%	9.1%	93.3%	102.4	LUCKY
13	Admirals	4	2	2	0	0	0	8	12	-4	4	0.500	8	15	23	0	1	62	57	61	3	105	607	613	648	13	120	44	30	92	13	1	7.69%	15	4	73.33%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	46.7%	7.6%	90.0%	97.6	Unlucky
14	Crunch	1	0	1	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	62	57	61	3	24	607	613	648	13	30	9	8	20	1	0	0.00%	4	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	40.0%	8.3%	90.0%	98.3	Unlucky
15	Condors	2	1	1	0	0	0	6	5	1	2	0.500	6	10	16	0	0	62	57	61	3	81	607	613	648	13	43	21	14	31	10	4	40.00%	7	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	28.6%	7.4%	88.4%	95.8	Unlucky
16	Thunderbirds	1	0	0	0	0	1	4	5	-1	1	0.500	4	7	11	0	0	62	57	61	3	24	607	613	648	13	37	11	4	20	1	0	0.00%	2	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	44.4%	16.7%	86.5%	103.2	FUN
17	Roadrunners	1	1	0	0	0	0	4	1	3	2	1.000	4	8	12	0	0	62	57	61	3	51	607	613	648	13	38	8	13	17	4	0	0.00%	3	1	66.67%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	100.0%	7.8%	97.4%	105.2	DULL
18	Bruins	1	0	1	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	62	57	61	3	27	607	613	648	13	28	6	6	28	5	0	0.00%	2	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	28.6%	7.4%	82.1%	89.6	Unlucky
19	Americans	1	0	1	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	62	57	61	3	33	607	613	648	13	40	11	2	22	6	1	16.67%	1	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	25.0%	6.1%	92.5%	98.6	DULL
20	IceHogs	3	2	1	0	0	0	10	8	2	4	0.667	10	18	28	0	0	62	57	61	3	91	607	613	648	13	112	30	27	82	8	0	0.00%	11	5	54.55%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	76.9%	11.0%	92.9%	103.8	LUCKY
21	Checkers	1	0	1	0	0	0	4	6	-2	0	0.000	4	7	11	0	0	62	57	61	3	46	607	613	648	13	38	9	8	19	4	0	0.00%	4	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	40.0%	8.7%	84.2%	92.9	Unlucky
22	Monsters	1	0	0	0	1	0	2	3	-1	1	0.500	2	4	6	0	0	62	57	61	3	28	607	613	648	13	55	12	8	22	1	0	0.00%	4	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	40.0%	7.1%	94.5%	101.7	DULL
23	Moose	5	5	0	0	0	0	21	9	12	10	1.000	21	38	59	0	0	62	57	61	3	182	607	613	648	13	136	47	35	126	23	3	13.04%	15	1	93.33%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	69.2%	11.5%	93.4%	104.9	LUCKY
24	Gulls	1	1	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	62	57	61	3	24	607	613	648	13	27	10	6	27	5	1	20.00%	3	1	66.67%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	66.7%	20.8%	88.9%	109.7	FUN
25	Stars	5	3	1	1	0	0	19	11	8	8	0.800	19	34	53	0	0	62	57	61	3	193	607	613	648	13	165	47	50	131	19	7	36.84%	14	3	78.57%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	60.0%	9.8%	93.3%	103.2	LUCKY
26	Marlies	1	1	0	0	0	0	5	2	3	2	1.000	5	10	15	0	0	62	57	61	3	24	607	613	648	13	36	11	6	32	2	0	0.00%	3	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	71.4%	20.8%	94.4%	115.3	LUCKY
27	Barracuda	1	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	62	57	61	3	37	607	613	648	13	42	17	4	17	6	1	16.67%	2	0	100.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	25.0%	5.4%	92.9%	98.3	DULL
28	Silver Knights	2	1	1	0	0	0	5	7	-2	2	0.500	5	9	14	0	0	62	57	61	3	50	607	613	648	13	103	25	22	40	2	1	50.00%	11	1	90.91%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	40.0%	10.0%	93.2%	103.2	LUCKY
	_Vs Division	28	22	8	1	0	0	98	68	30	46	0.821	98	178	276	0	1	62	57	61	3	938	607	613	648	13	894	259	251	660	96	14	14.58%	92	23	75.00%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	65.1%	10.4%	92.4%	102.8	LUCKY
	_Vs Conference	43	30	11	1	0	1	144	105	39	63	0.733	144	259	403	0	1	62	57	61	3	1464	607	613	648	13	1367	404	377	966	159	32	20.13%	144	32	77.78%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	60.5%	9.8%	92.3%	102.2	LUCKY
	_Since Last GM Reset	56	34	17	2	1	2	182	144	38	75	0.670	182	327	509	1	2	62	57	61	3	1875	607	613	648	13	1811	515	447	1277	200	36	18.00%	178	32	82.02%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	56.6%	9.7%	92.0%	101.8	LUCKY
	Total	56	34	17	2	1	2	182	144	38	75	0.670	182	327	509	1	2	62	57	61	3	1875	607	613	648	13	1811	515	447	1277	200	36	18.00%	178	32	82.02%	996	2055	48.47%	1042	2031	51.30%	412	904	45.58%	1310	879	1311	442	753	373	56.6%	9.7%	92.0%	101.8	LUCKY

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	2055
Neutral Zone Start	904
Defensive Zone Start	2031

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	2450
Faceoffs Lost	2540

	Team Average Shots after	League Average Shots after
1st Period	10.8	9.57
2nd Period	21.8	20.31
3rd Period	33.4	30.68
Overtime	33.6	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.1	0.64
2nd Period	2.1	1.65
3rd Period	3.2	2.67
Overtime	3.3	2.83


Even Strenght Goal	145
PP Goal	36
PK Goal	0
Empty Net Goal	1

	Home	Away
Win	20	16
Lost	8	9
Overtime Lost	2	1


PP Attempt	200
PP Goal	36
PK Attempt	178
PK Goal Against	32

	Home
Shots For	33.5
Shots Against	32.3
Goals For	3.3
Goals Against	2.6
Hits	22.8
Shots Blocked	9.2
Pim	8.0

Schedule

Date	Matchup			Result	Detail
2025-10-10	IceHogs	@	Firebirds	IceHogs3,Firebirds2	RECAP
2025-10-11	Firebirds	@	Stars	Firebirds3,Stars2	RECAP
2025-10-15	Moose	@	Firebirds	Moose2,Firebirds3	RECAP
2025-10-18	Wild	@	Firebirds	Wild2,Firebirds5	RECAP
2025-10-21	Firebirds	@	Admirals	Firebirds2,Admirals0	RECAP
2025-10-22	Eagles	@	Firebirds	Eagles2,Firebirds4	RECAP
2025-10-24	Firebirds	@	Admirals	Firebirds2,Admirals4	RECAP
2025-10-26	Wild	@	Firebirds	Wild3,Firebirds5	RECAP
2025-10-28	Firebirds	@	Stars	Firebirds3,Stars1	RECAP
2025-10-29	Firebirds	@	Wolves	Firebirds5,Wolves4	RECAP
2025-10-31	IceHogs	@	Firebirds	IceHogs3,Firebirds5	RECAP
2025-11-03	Eagles	@	Firebirds	Eagles3,Firebirds4	RECAP
2025-11-05	Firebirds	@	Moose	Firebirds5,Moose1	RECAP
2025-11-10	Moose	@	Firebirds	Moose2,Firebirds3	RECAP
2025-11-14	Firebirds	@	Americans	Firebirds2,Americans3	RECAP
2025-11-15	Wild	@	Firebirds	Wild2,Firebirds3	RECAP
2025-11-19	Stars	@	Firebirds	Stars3,Firebirds2	RECAP
2025-11-23	Checkers	@	Firebirds	Checkers6,Firebirds4	RECAP
2025-11-25	Firebirds	@	Admirals	Firebirds0,Admirals5	RECAP
2025-11-29	Rocket	@	Firebirds	Rocket2,Firebirds4	RECAP
2025-12-01	Firebirds	@	Moose	Firebirds4,Moose2	RECAP
2025-12-03	Wolf Pack	@	Firebirds	Wolf Pack2,Firebirds3 (OT)	RECAP
2025-12-05	Firebirds	@	Wolves	Firebirds3,Wolves4	RECAP
2025-12-08	Firebirds	@	Canucks	Firebirds4,Canucks2	RECAP
2025-12-10	Bruins	@	Firebirds	Bruins5,Firebirds2	RECAP
2025-12-13	Firebirds	@	Wild	Firebirds4,Wild3	RECAP
2025-12-14	IceHogs	@	Firebirds	IceHogs2,Firebirds3	RECAP
2025-12-20	Monsters	@	Firebirds	Monsters3,Firebirds2 (OT)	RECAP
2025-12-22	Firebirds	@	Islanders	Firebirds2,Islanders0	RECAP
2025-12-24	Moose	@	Firebirds	Moose2,Firebirds6	RECAP
2025-12-28	Firebirds	@	Wranglers	Firebirds3,Wranglers2	RECAP
2025-12-29	Gulls	@	Firebirds	Gulls3,Firebirds5	RECAP
2026-01-01	Firebirds	@	Stars	Firebirds6,Stars1	RECAP
2026-01-02	Admirals	@	Firebirds	Admirals3,Firebirds4	RECAP
2026-01-07	Firebirds	@	Condors	Firebirds2,Condors4	RECAP
2026-01-08	Barracuda	@	Firebirds	Barracuda3,Firebirds2 (SO)	RECAP
2026-01-11	Firebirds	@	Eagles	Firebirds4,Eagles2	RECAP
2026-01-12	Wranglers	@	Firebirds	Wranglers1,Firebirds3	RECAP
2026-01-17	Firebirds	@	Bears	Firebirds2,Bears3	RECAP
2026-01-18	Reign	@	Firebirds	Reign2,Firebirds5	RECAP
2026-01-22	Stars	@	Firebirds	Stars4,Firebirds5 (OT)	RECAP
2026-01-23	Firebirds	@	Silver Knights	Firebirds4,Silver Knights2	RECAP
2026-01-28	Silver Knights	@	Firebirds	Silver Knights5,Firebirds1	RECAP
2026-01-31	Firebirds	@	Wolves	Firebirds4,Wolves2	RECAP
2026-02-01	Firebirds	@	Crunch	Firebirds2,Crunch3	RECAP
2026-02-02	Phantoms	@	Firebirds	Phantoms1,Firebirds4	RECAP
2026-02-06	Wolves	@	Firebirds	Wolves1,Firebirds2	RECAP
2026-02-08	Firebirds	@	Thunderbirds	Firebirds4,Thunderbirds5 (SO)	RECAP
2026-02-11	Condors	@	Firebirds	Condors1,Firebirds4	RECAP
2026-02-13	Firebirds	@	Wild	Firebirds3,Wild4	RECAP
2026-02-15	Firebirds	@	Eagles	Firebirds0,Eagles1	RECAP
2026-02-17	Firebirds	@	Marlies	Firebirds5,Marlies2	RECAP
2026-02-18	Canucks	@	Firebirds	Canucks3,Firebirds2	RECAP
2026-02-21	Firebirds	@	Roadrunners	Firebirds4,Roadrunners1	RECAP
2026-02-22	Wolves	@	Firebirds	Wolves3,Firebirds1	RECAP
2026-02-27	Comets	@	Firebirds	Comets4,Firebirds2	RECAP
2026-03-01	Firebirds	@	Barracuda
2026-03-03	Firebirds	@	Monsters
2026-03-04	Griffins	@	Firebirds
2026-03-07	Admirals	@	Firebirds
Trade Deadline --- Trades can�t be done after this day is simulated!
2026-03-08	Firebirds	@	Gulls
2026-03-11	Firebirds	@	Senators
2026-03-13	Eagles	@	Firebirds
2026-03-18	Firebirds	@	Marlies
2026-03-19	Roadrunners	@	Firebirds
2026-03-20	Firebirds	@	IceHogs
2026-03-24	Marlies	@	Firebirds
2026-03-25	Firebirds	@	Stars
2026-03-29	Firebirds	@	Reign
2026-03-31	Marlies	@	Firebirds
2026-04-01	Firebirds	@	Penguins
2026-04-03	Firebirds	@	IceHogs

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,443,500$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Coachella Valley
	Capacity	3000
	Season Ticket Holders	0%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
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
6	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,443,500$	2,443,500$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,420,905$	13,575$	2,029,229$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	49	16,353$	605,061$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
605,061$	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

Oskar Steen is suspended for 26 more games.
Tarmo Reunanen is suspended for 26 more games.
Aidan Dudas is suspended for 26 more games.
Jared McIsaac is suspended for 26 more games.
Tyler Madden is suspended for 26 more games.
Topi Niemela is suspended for 26 more games.

Game Center

Wolves30-27-4, 64pts

31Final

Firebirds36-17-3, 75pts

Comets29-24-7, 65pts

42Final

Firebirds36-17-3, 75pts

Comets29-24-7, 65pts

Sat, Feb 28

Firebirds36-17-3, 75pts

Sun, Oct 12

Stars21-28-8, 50pts

Moose23-24-9, 55pts

Thu, Oct 16

Firebirds36-17-3, 75pts

TRANSACTIONS

Team Info


	Head Coach	Jeff Blashill
	Division	Central
	City	Coachella Valley
	Stadium Capacity	3,000

Firebirds Affiliation


	General Manager	Maxim Grimard
	Head Coach	Dave Hakstol
	Stadium	Climate Pledge Arena
	Capacity	21,500

Team Leaders

GOALS Samuel Fagemo Firebirds	33 GOALS
POINTS Samuel Fagemo Firebirds	62 POINTS
WINS Ivan Fedotov Firebirds	17 WINS
Expanded Player Leaderboard

Team Stats

Goals For 182 3.25 GFG	Goals Against 144 2.57 GAA
Power Play Percentage 18.0% 36 GF	Penalty Kill Percentage 82.0% 32 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain