LHS OpenIce - Today's Games Farm

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Adam Edstrom (R)	34	C	100.00	86	41	89	62	99	76	69	59	56	57	63	64	58	65	66	48	75	0	23	846,667$/1yrs
Givani Smith	48	RW	100.00	78	83	59	62	83	74	77	58	55	59	60	61	57	66	68	70	75	0	26	800,000$/1yrs
Jacob Melanson (R)	43	RW	100.00	61	43	64	58	70	81	71	57	52	55	56	53	58	61	63	59	75	0	20	826,111$/2yrs
Matthew Maggio (R)	0	RW	100.00	60	38	89	61	69	80	71	59	64	60	57	55	58	62	64	56	75	0	21	870,000$/2yrs
Ryder Korczak (R)	38	C	100.00	58	36	88	57	67	80	73	56	60	55	54	53	56	62	64	66	75	0	21	859,167$/1yrs
Daemon Hunt (R)	62	D	100.00	67	38	89	63	78	74	82	61	30	62	56	65	49	62	64	67	75	0	22	828,333$/1yrs
Nolan Allan (R)	2	D	100.00	70	55	75	58	79	65	70	57	30	56	54	62	46	61	63	77	75	0	21	825,000$/2yrs
Scratches
Liam Kirk (R)	94	C	100.00	58	38	84	57	80	68	80	58	61	56	55	59	59	63	63	55	75	0	24
Brayden Tracey	7	LW	100.00	62	38	81	58	70	73	82	56	61	59	57	55	58	63	65	79	75	0	23
Jonathan Gruden	84	LW	100.00	70	39	73	62	69	77	82	59	64	58	60	62	59	64	66	61	75	0	24	775,000$/2yrs
Curtis Douglas	49	C	100.00	90	82	53	56	99	78	82	54	65	57	55	63	56	64	66	59	75	0	24
Beck Malenstyn	83	LW	100.00	84	40	88	68	83	80	84	62	58	64	60	84	59	66	67	53	75	0	26
Garrett Pilon	41	C	100.00	65	37	90	63	73	82	81	62	67	64	60	61	59	66	68	60	75	0	26
Oskar Back (R)	63	C	100.00	75	39	95	64	84	72	83	63	72	65	55	62	58	64	66	63	75	0	24	775,000$/1yrs
Samuel Houde	47	C	100.00	60	37	82	63	69	79	74	62	74	64	61	60	62	64	66	56	75	0	24
Spencer Stastney (R)	24	D	100.00	60	36	95	64	71	82	84	63	30	65	60	68	52	64	65	56	75	0	24
Albert Johansson (R)	20	D	100.00	59	39	77	56	68	69	82	55	30	57	54	53	46	63	65	67	75	0	23	775,000$/1yrs
Eemil Viro (R)	4	D	100.00	60	36	92	58	67	63	74	57	30	55	52	56	45	62	64	67	75	0	22	828,333$/1yrs
Louis Crevier (R)	76	D	100.00	84	50	91	62	99	82	84	59	30	63	55	67	51	63	65	49	75	0	23
Andrew Nielsen	58	D	100.00	76	41	74	53	85	62	64	52	30	53	51	57	45	67	69	56	75	0	27

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
Taylor Gauthier	31	100.00	67	74	70	76	66	65	67	66	65	67	66	64	69	44	75	0	23	859,167$/1yrs
Scratches
Olivier Rodrigue	61	100.00	77	82	78	70	76	75	77	76	75	77	76	64	71	66	75	0	23	775,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mike Vellucci	73	69	72	71	87	81	60	USA	58	1	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	MP	AMG	PPG	PPA	PPP	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS

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

Salary

Player Name	POS	Age	Cap Hit	2024-25	2025-26	2026-27
Adam Edstrom	C	23	846,667$	846,667$	RFA
Albert Johansson	D	23	775,000$	775,000$	RFA
Andrew Nielsen	D	27	0$	UFA
Beck Malenstyn	LW	26	0$	RFA
Brayden Tracey	LW	23	0$	RFA
Curtis Douglas	C	24	0$	RFA
Daemon Hunt	D	22	828,333$	828,333$	RFA
Eemil Viro	D	22	828,333$	828,333$	RFA
Garrett Pilon	C	26	0$	RFA
Givani Smith	RW	26	800,000$	800,000$	RFA
Jacob Melanson	RW	20	826,111$	826,111$	826,111$	RFA
Jonathan Gruden	LW	24	775,000$	775,000$	775,000$	RFA
Liam Kirk	C	24	0$	RFA
Louis Crevier	D	23	0$	RFA
Matthew Maggio	RW	21	870,000$	870,000$	870,000$	RFA
Nolan Allan	D	21	825,000$	825,000$	825,000$	RFA
Olivier Rodrigue	G	23	775,000$	775,000$	RFA
Oskar Back	C	24	775,000$	775,000$	RFA
Ryder Korczak	C	21	859,167$	859,167$	RFA
Samuel Houde	C	24	0$	RFA
Spencer Stastney	D	24	0$	RFA
Taylor Gauthier	G	23	859,167$	859,167$	RFA

Lines

Forward Lines
# - Matthew Maggio
# - Jacob Melanson
# - Adam Edstrom	# - Givani Smith

Defensive Pairings
# - Nolan Allan	# - Daemon Hunt

1st Power Play Unit
# - Matthew Maggio

2nd Power Play Unit
# - Jacob Melanson
# - Nolan Allan			# - Daemon Hunt

Goalies
# - Taylor Gauthier

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	T	OTW	OTL	SOW	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%	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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0	0.0%	0.0%	0.0%	0.0	Unlucky

	Puck Time
Offensive Zone	0
Neutral Zone	0
Defensive Zone	0

	Puck Time
Offensive Zone Start	0
Neutral Zone Start	0
Defensive Zone Start	0

	Puck Time
With Puck	0
Without Puck	0

	Faceoffs
Faceoffs Won	0
Faceoffs Lost	0

	Team Average Shots after	League Average Shots after
1st Period	0.0	9.57
2nd Period	0.0	20.31
3rd Period	0.0	30.68
Overtime	0.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.0	0.64
2nd Period	0.0	1.65
3rd Period	0.0	2.67
Overtime	0.0	2.83


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

	Home	Away
Win	0	0
Lost	0	0
Overtime Lost	0	0


PP Attempt	0
PP Goal	0
PK Attempt	0
PK Goal Against	0

	Home
Shots For	0.0
Shots Against	0.0
Goals For	0.0
Goals Against	0.0
Hits	0.0
Shots Blocked	0.0
Pim	0.0

Schedule

Date	Matchup
2024-10-14	Senators	@	Bears
2024-10-15	Monsters	@	Bears
2024-10-20	Bears	@	Bruins
2024-10-21	Bears	@	Bruins
2024-10-22	Bears	@	Islanders
2024-10-25	Bears	@	Penguins
2024-10-28	Phantoms	@	Bears
2024-10-29	Penguins	@	Bears
2024-11-03	Bears	@	Penguins
2024-11-04	Islanders	@	Bears
2024-11-11	Bears	@	Phantoms
2024-11-12	Phantoms	@	Bears
2024-11-15	Bears	@	Penguins
2024-11-17	Islanders	@	Bears
2024-11-18	Bears	@	Islanders
2024-11-22	Penguins	@	Bears
2024-11-25	Wild	@	Bears
2024-11-26	Wild	@	Bears
2024-11-29	Bears	@	Penguins
2024-12-01	Bears	@	Checkers
2024-12-02	Bears	@	Checkers
2024-12-08	Bears	@	Crunch
2024-12-09	Monsters	@	Bears
2024-12-10	Checkers	@	Bears
2024-12-13	Bruins	@	Bears
2024-12-16	Rocket	@	Bears
2024-12-17	Thunderbirds	@	Bears
2024-12-22	Bears	@	Thunderbirds
2024-12-23	Bruins	@	Bears
2024-12-27	Penguins	@	Bears
2024-12-29	Bears	@	Americans
2024-12-30	Bears	@	Phantoms
2025-01-03	Checkers	@	Bears
2025-01-06	Wolf Pack	@	Bears
2025-01-07	Phantoms	@	Bears
2025-01-13	Bears	@	Phantoms
2025-01-15	Bears	@	Islanders
2025-01-19	Bears	@	Wolf Pack
2025-01-20	Penguins	@	Bears
2025-01-24	Thunderbirds	@	Bears
2025-01-27	Bears	@	Penguins
2025-01-28	Marlies	@	Bears
2025-01-31	Bears	@	Phantoms
2025-02-02	Bears	@	Phantoms
2025-02-03	Islanders	@	Bears
2025-02-09	Bears	@	Bruins
2025-02-10	Bears	@	Thunderbirds
2025-02-14	Phantoms	@	Bears
2025-02-17	Bears	@	Marlies
2025-02-19	Bears	@	Senators
2025-02-21	Bears	@	Rocket
2025-02-23	Penguins	@	Bears
2025-02-24	Americans	@	Bears
2025-03-03	Comets	@	Bears
2025-03-04	Bears	@	Phantoms
2025-03-09	Bears	@	Checkers
2025-03-10	Bears	@	Checkers
Trade Deadline --- Trades can’t be done after this day is simulated!
2025-03-16	Bears	@	Comets
2025-03-17	Crunch	@	Bears
2025-03-18	Wolf Pack	@	Bears
2025-03-22	Bears	@	Monsters
2025-03-24	Bears	@	Monsters
2025-03-27	Bruins	@	Bears
2025-03-31	Bears	@	Wolf Pack
2025-04-03	Phantoms	@	Bears
2025-04-06	Bears	@	Wild
2025-04-07	Bears	@	Wild
2025-04-13	Phantoms	@	Bears
2025-04-14	Bears	@	Penguins
2025-04-15	Penguins	@	Bears
2025-04-18	Checkers	@	Bears
2025-04-21	Checkers	@	Bears