LSFH - 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
Jonatan Berggren	52	C/LW/RW	99.00	64	45	79	67	74	66	69	63	54	69	65	65	54	56	56	0	50	68	23	925,000$/2yrs
Philip Tomasino	0	C/LW/RW	99.00	64	46	81	67	66	65	69	63	57	69	62	65	62	56	56	0	50	67	22	1,005,000$/2yrs
Rudolfs Balcers	26	LW/RW	99.00	63	47	77	63	65	63	67	59	54	63	62	65	54	60	57	0	50	65	27	750,000$/1yrs
Nolan Patrick	0	C/RW	100.00	66	38	85	56	71	60	65	57	70	67	56	62	55	58	55	0	50	64	25	1,200,000$/1yrs
Trey Fix-Wolansky	46	RW	100.00	57	58	67	64	59	65	63	63	54	61	62	60	61	58	55	0	50	64	24	750,000$/3yrs
Gabriel Bourque	50	C/LW	100.00	55	56	65	59	64	67	65	59	55	57	58	61	54	74	64	0	50	63	33	750,000$/1yrs
Gemel Smith	64	C/LW/RW	100.00	57	58	61	60	62	62	62	61	70	59	59	62	60	67	60	0	50	63	30	750,000$/1yrs
Oskar Steen	62	C/RW	100.00	55	57	66	61	60	65	63	59	69	57	59	62	54	60	56	0	50	63	26	800,000$/2yrs
Curtis Douglas	28	C	100.00	58	56	58	59	80	66	66	57	70	56	57	59	54	56	54	0	50	62	24	837,500$/2yrs
Jonathan Gruden	45	C/LW	100.00	56	56	64	58	59	65	64	59	65	57	59	60	54	56	54	0	50	62	23	802,500$/2yrs
Curtis Hall	20	C	100.00	54	55	67	56	70	62	61	55	70	55	54	60	54	56	54	0	50	60	23	925,000$/2yrs
Reilly Walsh	8	D	100.00	55	56	66	61	61	68	66	61	40	60	57	61	54	58	55	0	50	63	25	925,000$/2yrs
Ryan Merkley	6	D	100.00	58	50	71	65	63	67	63	58	40	61	56	62	54	56	55	0	50	63	23	1,163,333$/1yrs
Alex Peters	0	D	100.00	56	57	64	57	70	61	61	56	40	56	56	63	54	63	58	0	50	62	27	750,000$/1yrs
Nikita Okhotiuk	82	D	100.00	62	52	68	56	66	63	60	55	40	58	56	66	54	56	54	0	50	62	23	905,000$/2yrs
Jordan Spence	53	D	100.00	56	55	67	61	59	64	62	61	40	62	55	60	54	55	53	0	50	62	23	919,167$/2yrs
Nick Cicek	59	D	100.00	59	58	67	58	69	64	61	56	40	60	54	63	54	56	54	0	50	62	23	835,000$/2yrs
Vladislav Kolyachonok	92	D	100.00	55	54	66	58	65	66	64	57	40	57	55	62	54	55	53	0	50	61	22	905,000$/2yrs
Scratches
Akil Thomas	41	C/RW	100.00	55	54	67	56	60	58	57	55	66	55	56	60	56	56	54	0	50	60	24	910,833$/2yrs
Yushiroh Hirano	0	RW	100.00	55	54	67	55	69	58	58	55	55	54	55	60	54	65	59	0	50	60	28	750,000$/1yrs
Olle Lycksell (R)	0	C/LW/RW	100.00	52	50	65	58	56	62	58	57	51	58	55	57	51	55	52	0	50	60	24	837,500$/3yrs
Ryan Chyzowski	13	C/LW	100.00	54	55	67	56	58	60	59	54	55	54	55	59	54	56	54	0	50	59	23	750,000$/1yrs
Shane Wright (R)	0	C	100.00	55	45	69	51	67	57	53	51	60	60	55	57	52	49	51	0	50	59	20	3,980,833$/4yrs
Marco Kasper (R)	0	C	100.00	54	38	84	52	67	68	56	48	48	56	50	57	51	51	55	0	50	58	20	1,918,333$/4yrs
William Villeneuve (R)	0	D	100.00	55	54	62	56	60	61	60	57	44	57	55	60	54	54	53	0	50	60	22	817,778$/2yrs
Will Reilly	44	D	100.00	55	55	67	56	68	60	59	55	40	55	54	60	54	62	57	0	50	60	26	750,000$/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
Kevin Mandolese	70	99.00	59	58	59	73	64	57	65	60	61	58	62	56	53	0	50	62	23	861,667$/2yrs
Filip Lindberg	31	100.00	56	58	58	64	65	54	67	58	59	57	60	58	54	0	50	61	25	925,000$/1yrs
Scratches
Sebastian Cossa	0	100.00	51	52	52	73	61	51	60	51	52	52	62	49	48	0	50	56	21	1,713,333$/3yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Félix Potvin	75	75	75	75	75	75	75	Can	52	5	0$

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	PPP	PKM	GW	GT	FO%	EG	HT	P/GP	PSS	GSAVG
1	Gabriel Bourque	Marlies (TOR)	C/LW	3	4	1	5	0	0	0	2	13	4	6	30.77%	0	17.66	0	2	0	1	60.00%	0	0	1.67	0	1.62
2	Philip Tomasino	Marlies (TOR)	C/LW/RW	3	0	4	4	2	0	0	5	12	5	8	0.00%	2	22.71	0	6	0	0	33.33%	0	0	1.33	0	1.50
3	Jonatan Berggren	Marlies (TOR)	C/LW/RW	3	4	0	4	2	2	0	2	13	5	7	30.77%	1	22.52	0	4	1	0	55.56%	0	1	1.33	0	1.52
4	Trey Fix-Wolansky	Marlies (TOR)	RW	3	2	1	3	1	2	0	5	17	2	13	11.76%	0	18.31	0	0	1	0	50.00%	0	0	1.00	0	1.28
5	Gemel Smith	Marlies (TOR)	C/LW/RW	3	0	2	2	0	0	0	4	6	3	13	0.00%	0	16.61	0	0	0	0	50.00%	0	0	0.67	0	0.73
6	Curtis Hall	Marlies (TOR)	C	3	0	2	2	-1	0	0	0	7	2	5	0.00%	1	15.51	0	0	0	0	65.91%	0	0	0.67	0	0.56
7	Oskar Steen	Marlies (TOR)	C/RW	3	0	2	2	1	0	0	4	10	1	11	0.00%	0	16.12	0	0	0	0	55.77%	0	0	0.67	0	0.89
8	Ryan Merkley	Marlies (TOR)	D	3	1	1	2	3	2	0	6	1	3	4	100.00%	7	22.36	0	5	0	0	0.00%	0	0	0.67	0	0.93
9	Vladislav Kolyachonok	Marlies (TOR)	D	3	0	2	2	1	4	0	4	3	0	2	0.00%	2	17.69	0	5	0	0	0.00%	0	0	0.67	0	0.46
10	Curtis Douglas	Marlies (TOR)	C	3	0	1	1	2	0	0	2	2	0	3	0.00%	0	6.82	0	0	0	0	56.67%	0	0	0.33	0	0.55
11	Nolan Patrick	Marlies (TOR)	C/RW	3	0	1	1	0	0	0	1	3	1	5	0.00%	0	18.63	0	7	0	0	49.33%	0	0	0.33	0	0.29
12	Nikita Okhotiuk	Marlies (TOR)	D	3	0	1	1	1	2	0	3	2	3	0	0.00%	4	18.08	0	5	0	0	0.00%	0	0	0.33	0	0.36
13	Jordan Spence	Marlies (TOR)	D	3	0	1	1	-1	2	0	8	5	0	2	0.00%	0	18.93	0	0	0	0	0.00%	0	0	0.33	0	0.18
14	Alex Peters	Marlies (TOR)	D	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.75	0	0	0	0	0.00%	0	0	0.00	0	-0.01
15	Jonathan Gruden	Marlies (TOR)	C/LW	3	0	0	0	0	0	0	0	1	0	0	0.00%	0	0.97	0	0	0	0	0.00%	0	0	0.00	0	0.03
16	Reilly Walsh	Marlies (TOR)	D	3	0	0	0	3	2	0	6	6	0	1	0.00%	3	22.67	0	6	0	0	0.00%	0	0	0.00	0	0.44
17	Nick Cicek	Marlies (TOR)	D	3	0	0	0	-1	4	0	7	1	2	3	0.00%	3	19.76	0	3	0	0	0.00%	0	0	0.00	0	-0.21
18	Rudolfs Balcers	Marlies (TOR)	LW/RW	3	0	0	0	1	0	0	3	8	3	8	0.00%	0	17.89	0	6	0	0	75.00%	0	0	0.00	0	0.38
Team Total or Average			54	11	19	30	14	20	0	62	110	34	91	10.00%	23	16.33	0	69	55	2	1	55.79%	242	0	0	1	0.68	0	0

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	Kevin Mandolese	Marlies (TOR)	3	2	1	0	0.894	3.33	180	0	0	10	94	0	0	0	0.000	0	3	0	0	0	0
Team Total or Average		3	2	1	0	0.894	3.33	180	0	0	10	94	0	0	0	0.000	0	3	0	0	0	0

Salary

Player Name	POS	Age	Cap Hit	2023-24	2024-25	2025-26	2026-27	2027-28
Akil Thomas	C/RW	24	910,833$	910,833$	775,000$	RFA
Alex Peters	D	27	750,000$	750,000$	UFA
Curtis Douglas	C	24	837,500$	837,500$	837,500$	RFA
Curtis Hall	C	23	925,000$	925,000$	925,000$	RFA
Filip Lindberg	G	25	925,000$	925,000$	RFA
Gabriel Bourque	C/LW	33	750,000$	750,000$	UFA
Gemel Smith	C/LW/RW	30	750,000$	750,000$	UFA
Jonatan Berggren	C/LW/RW	23	925,000$	925,000$	925,000$	RFA
Jonathan Gruden	C/LW	23	802,500$	802,500$	775,000$	RFA
Jordan Spence	D	23	919,167$	919,167$	919,167$	RFA
Kevin Mandolese	G	23	861,667$	861,667$	775,000$	RFA
Marco Kasper	C	20	1,918,333$	1,918,333$	1,918,333$	1,918,333$	1,918,333$	RFA
Nick Cicek	D	23	835,000$	835,000$	835,000$	RFA
Nikita Okhotiuk	D	23	905,000$	905,000$	905,000$	RFA
Nolan Patrick	C/RW	25	1,200,000$	1,200,000$	RFA
Olle Lycksell	C/LW/RW	24	837,500$	875,000$	787,500$	787,500$	RFA
Oskar Steen	C/RW	26	800,000$	800,000$	800,000$	UFA
Philip Tomasino	C/LW/RW	22	1,005,000$	1,005,000$	1,005,000$	RFA
Reilly Walsh	D	25	925,000$	925,000$	775,000$	RFA
Rudolfs Balcers	LW/RW	27	750,000$	750,000$	UFA
Ryan Chyzowski	C/LW	23	750,000$	750,000$	RFA
Ryan Merkley	D	23	1,163,333$	1,163,333$	RFA
Sebastian Cossa	G	21	1,713,333$	1,713,333$	1,713,333$	1,713,333$	RFA
Shane Wright	C	20	3,980,833$	3,980,833$	3,980,833$	3,980,833$	3,980,833$	RFA
Trey Fix-Wolansky	RW	24	750,000$	750,000$	775,000$	775,000$	RFA
Vladislav Kolyachonok	D	22	905,000$	905,000$	905,000$	RFA
Will Reilly	D	26	750,000$	750,000$	RFA
William Villeneuve	D	22	817,778$	817,778$	817,778$	RFA
Yushiroh Hirano	RW	28	750,000$	750,000$	UFA

Lines

Forward Lines
# - Philip Tomasino	# - Nolan Patrick	# - Jonatan Berggren
# - Rudolfs Balcers	# - Oskar Steen	# - Trey Fix-Wolansky
# - Gemel Smith	# - Curtis Hall	# - Gabriel Bourque
# - Philip Tomasino	# - Curtis Douglas	# - Jonatan Berggren

Defensive Pairings
# - Reilly Walsh	# - Ryan Merkley
# - Nick Cicek	# - Jordan Spence
# - Nikita Okhotiuk	# - Vladislav Kolyachonok

1st Power Play Unit
# - Philip Tomasino		# - Nolan Patrick		# - Jonatan Berggren
# - Reilly Walsh			# - Ryan Merkley

2nd Power Play Unit
# - Rudolfs Balcers		# - Curtis Douglas		# - Trey Fix-Wolansky
# - Nick Cicek			# - Jordan Spence

Goalies
# - Kevin Mandolese		# - Filip Lindberg

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	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	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	Monsters	3	2	1	11	10	1	4	0.667	11	19	30	5	2	4	110	42	45	23	94	23	20	62	7	0.00%	8	2	75.00%	59	104	56.73%	48	89	53.93%	28	49	57.14%	79	56	62	21	37	20	57.9%	10.0%	89.4%	99.4	FUN
	_Vs Conference	3	2	1	11	10	1	4	0.667	11	19	30	5	2	4	110	42	45	23	94	23	20	62	7	0.00%	8	2	75.00%	59	104	56.73%	48	89	53.93%	28	49	57.14%	79	56	62	21	37	20	57.9%	10.0%	89.4%	99.4	FUN
	_Since Last GM Reset	3	2	1	11	10	1	4	0.667	11	19	30	5	2	4	110	42	45	23	94	23	20	62	7	0.00%	8	2	75.00%	59	104	56.73%	48	89	53.93%	28	49	57.14%	79	56	62	21	37	20	57.9%	10.0%	89.4%	99.4	FUN
	Total	3	2	1	11	10	1	4	0.667	11	19	30	5	2	4	110	42	45	23	94	23	20	62	7	0.00%	8	2	75.00%	59	104	56.73%	48	89	53.93%	28	49	57.14%	79	56	62	21	37	20	57.9%	10.0%	89.4%	99.4	FUN

	Puck Time
Offensive Zone	26
Neutral Zone	12
Defensive Zone	20

	Puck Time
Offensive Zone Start	104
Neutral Zone Start	49
Defensive Zone Start	89

	Puck Time
With Puck	32
Without Puck	27

	Faceoffs
Faceoffs Won	135
Faceoffs Lost	107

	Team Average Shots after	League Average Shots after
1st Period	14.0	9.57
2nd Period	29.0	20.31
3rd Period	36.7	30.68
Overtime	36.7	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.7	0.64
2nd Period	2.3	1.65
3rd Period	3.7	2.67
Overtime	3.7	2.83


Even Strenght Goal	11
PP Goal	0
PK Goal	0
Empty Net Goal	0

	Home	Away
Win	1	1
Lost	0	1
Overtime Lost	0	0


PP Attempt	7
PP Goal	0
PK Attempt	8
PK Goal Against	2

	Home
Shots For	36.7
Shots Against	31.3
Goals For	3.7
Goals Against	3.3
Hits	20.7
Shots Blocked	7.7
Pim	6.7

Schedule

Date	Matchup			Result	Detail
Fri, Apr 19	MAR	@	CLE	MAR5,CLE3	RECAP
Sun, Apr 21	MAR	@	CLE	MAR3,CLE5	RECAP
Tue, Apr 23	CLE	@	MAR	CLE2,MAR3	RECAP
Thu, Apr 25	CLE	@	MAR
Sat, Apr 27	MAR	@	CLE
Trade Deadline --- Trades can�t be done after this day is simulated!
Mon, Apr 29	CLE	@	MAR
Wed, May 1	MAR	@	CLE

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,015,027$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Toronto
	Capacity	3000
	Season Ticket Holders	10%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	1715	1000
Attendance PCT	85.75%	100.00%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
40	2715 - 90.50%	111,787$	111,787$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,015,027$	3,011,277$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
0$	0$	0$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	9	0$	0$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	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

No Injury or Suspension.

Game Center

Monsters1-2-0, 2pts

Wed, Apr 24

Marlies2-1-0, 4pts

Mon, Apr 22

Monsters1-2-0, 2pts

Wed, Apr 24

Marlies2-1-0, 4pts

TRANSACTIONS

Team Info


	Head Coach	Félix Potvin
	Division	ATLANTIQUE
	City	Toronto
	Stadium Capacity	3,000

Marlies Affiliation


	General Manager
	Head Coach	Eric Lindros
	Stadium
	Capacity	17,000

Team Leaders

GOALS Gabriel Bourque Marlies	4 GOALS
POINTS Gabriel Bourque Marlies	5 POINTS
WINS Kevin Mandolese Marlies	2 WINS
Expanded Player Leaderboard

Team Stats

Goals For 11 3.67 GFG	Goals Against 10 3.33 GAA
Power Play Percentage 0.0% 0 GF	Penalty Kill Percentage 75.0% 2 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain