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
Eeli Tolvanen (A)	11	LW/RW	100.00	78	40	88	69	78	69	84	65	52	72	70	71	54	59	58	0	50	73	25	1,450,000$/2yrs
Andrew Ladd (C)	11	C	100.00	63	62	72	63	72	66	65	58	54	64	60	67	56	82	82	0	50	67	38	5,500,000$/1yrs
Ondrej Kase	73	RW	100.00	64	40	84	62	73	68	65	56	51	63	58	64	60	62	58	0	50	65	28	1,500,000$/1yrs
Curtis McKenzie	0	C/LW	100.00	56	59	62	63	67	68	66	62	55	60	61	64	54	72	63	0	50	65	33	775,000$/1yrs
Nils Aman (R)	0	C	100.00	62	41	78	61	63	61	67	56	59	66	56	67	51	53	54	0	50	64	24	925,000$/4yrs
Michael Mersch	0	RW	100.00	55	59	66	61	68	66	64	61	55	59	61	60	54	70	62	0	50	64	31	775,000$/1yrs
Rhett Gardner	37	C	100.00	56	56	63	59	71	67	66	60	70	59	57	65	55	63	58	0	50	64	28	750,000$/3yrs
Steven Fogarty	39	C	100.00	56	58	64	61	68	66	65	61	55	60	60	61	56	69	61	0	50	64	31	762,500$/2yrs
Brett Seney	8	LW	100.00	60	50	71	58	54	65	61	58	54	60	60	61	54	61	58	0	50	63	28	750,000$/2yrs
Bobby McMann	72	C	100.00	58	56	69	62	70	63	60	58	54	58	60	62	54	62	58	0	50	63	27	762,500$/4yrs
Cooper Marody	18	RW	100.00	55	58	65	59	61	63	62	61	55	59	60	63	54	63	58	0	50	63	27	762,500$/2yrs
Greg Printz	0	C/LW	100.00	56	54	63	58	70	66	65	57	55	56	57	59	54	60	56	0	50	62	26	750,000$/1yrs
Tristin Langan	0	C	100.00	66	37	95	56	75	67	60	53	61	54	55	56	54	64	66	0	50	62	25	775,000$/1yrs
Turner Ottenbreit	0	D	100.00	56	54	64	58	65	66	64	56	40	56	56	63	54	62	57	0	50	62	26	750,000$/1yrs
Eddie Wittchow	0	D	100.00	57	55	62	58	73	64	63	55	45	55	55	61	54	70	62	0	50	62	31	750,000$/1yrs
Yanni Kaldis	77	D	100.00	55	58	66	58	61	64	62	58	40	58	56	60	54	65	59	0	50	62	28	750,000$/1yrs
Seth Helgeson	0	D	100.00	57	54	60	57	71	68	67	55	40	56	54	60	54	74	64	0	50	62	33	775,000$/1yrs
Declan Carlile	0	D	100.00	55	56	66	57	64	64	62	57	40	56	56	65	54	56	54	0	50	62	23	925,000$/2yrs
Scratches
Kristian Reichel (R)	88	C	100.00	55	57	67	59	62	64	63	57	55	56	56	60	55	60	56	0	50	61	25	775,000$/2yrs
Alex Turcotte	0	C	100.00	55	53	68	57	62	60	59	56	59	56	56	62	54	55	53	0	50	60	23	2,444,167$/2yrs
Jake Wise (R)	0	C	100.00	51	51	65	51	58	51	51	51	52	51	51	58	51	54	51	0	50	55	24	750,000$/1yrs
Connor Hvidston (R)	0	C/LW	100.00	51	51	65	51	55	52	52	51	52	51	51	57	51	48	48	0	50	55	19	750,000$/1yrs
Matthew Mackie Samoskevich (R)	0	C	100.00	51	51	65	51	59	51	51	51	52	51	51	57	51	51	49	0	50	55	21	925,000$/4yrs
Cameron Gaunce	0	D	100.00	56	54	64	58	64	64	63	56	40	56	55	61	54	74	64	0	50	62	34	750,000$/1yrs
Nikolas Brouillard	65	D	100.00	57	55	59	61	52	67	67	60	40	59	57	57	54	65	59	0	50	62	29	775,000$/2yrs
Kristians Rubins (R) (A)	9	D	100.00	55	54	66	57	74	64	62	55	40	55	55	61	54	62	57	0	50	61	26	750,000$/1yrs
Daniil Chayka	0	D	100.00	51	51	65	53	59	62	60	52	38	52	52	53	51	51	49	0	50	56	21	880,000$/3yrs

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
Matthew Berlin	0	100.00	67	52	52	80	58	63	52	68	62	52	53	52	52	0	50	61	26	775,000$/1yrs
Taylor Gauthier	0	100.00	54	56	56	64	63	52	64	56	54	54	56	51	48	0	50	58	23	925,000$/3yrs
Scratches
Jacob Kucharski	0	100.00	51	51	51	68	57	51	51	51	52	55	62	55	51	0	50	54	24	750,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Haley Wickenheiser	75	75	75	75	75	75	75	Can	45	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	FO%	EG	P/GP	GSAVG
1	Andrew Ladd	Gulls (ANA)	C	5	0	6	6	2	2	0	11	9	8	14	0.00%	1	22.34	0	16	0	50.62%	0	1.20	1.11
2	Eeli Tolvanen	Gulls (ANA)	LW/RW	5	4	1	5	2	8	0	9	19	1	22	21.05%	2	22.10	0	14	0	46.67%	0	1.00	0.99
3	Rhett Gardner	Gulls (ANA)	C	5	4	1	5	4	5	5	7	10	0	8	40.00%	1	15.45	0	0	1	55.95%	0	1.00	1.05
4	Nils Aman	Gulls (ANA)	C	5	2	2	4	2	4	0	4	10	0	7	20.00%	2	19.45	0	11	0	48.00%	0	0.80	0.77
5	Cooper Marody	Gulls (ANA)	RW	5	1	2	3	4	7	5	1	12	6	8	8.33%	1	15.57	0	0	0	50.00%	0	0.60	0.69
6	Greg Printz	Gulls (ANA)	C/LW	5	0	3	3	4	4	0	2	7	2	11	0.00%	1	15.86	0	0	0	75.00%	0	0.60	0.70
7	Eddie Wittchow	Gulls (ANA)	D	4	1	2	3	3	9	5	13	3	2	2	33.33%	5	18.46	0	10	0	0.00%	0	0.75	0.59
8	Yanni Kaldis	Gulls (ANA)	D	5	0	3	3	4	4	0	9	3	2	4	0.00%	4	23.08	0	15	0	0.00%	0	0.60	0.67
9	Steven Fogarty	Gulls (ANA)	C	5	0	2	2	0	0	0	6	8	2	14	0.00%	1	13.86	0	1	0	45.83%	0	0.40	0.46
10	Declan Carlile	Gulls (ANA)	D	5	0	2	2	2	6	0	6	10	0	8	0.00%	3	19.13	0	10	0	0.00%	0	0.40	0.41
11	Curtis McKenzie	Gulls (ANA)	C/LW	5	0	2	2	0	0	0	9	14	8	6	0.00%	1	16.35	0	12	0	45.26%	0	0.40	0.53
12	Brett Seney	Gulls (ANA)	LW	5	1	0	1	1	4	0	5	17	5	8	5.88%	1	17.18	0	3	0	50.00%	0	0.20	0.40
13	Bobby McMann	Gulls (ANA)	C	5	0	1	1	1	0	0	1	2	0	2	0.00%	0	3.79	0	2	0	57.14%	0	0.20	0.24
14	Michael Mersch	Gulls (ANA)	RW	5	1	0	1	2	2	0	5	14	8	13	7.14%	1	16.64	0	0	0	42.86%	0	0.20	0.53
15	Nikolas Brouillard	Gulls (ANA)	D	2	0	1	1	3	0	0	4	1	0	1	0.00%	2	18.86	0	7	0	0.00%	0	0.50	0.95
16	Seth Helgeson	Gulls (ANA)	D	5	1	0	1	0	14	0	12	7	1	4	14.29%	4	19.75	0	14	0	0.00%	0	0.20	-0.13
17	Turner Ottenbreit	Gulls (ANA)	D	4	0	0	0	1	2	0	8	2	1	4	0.00%	10	21.04	0	14	0	0.00%	0	0.00	0.22
18	Ondrej Kase	Gulls (ANA)	RW	4	0	0	0	2	0	0	0	2	0	1	0.00%	1	8.92	0	7	0	71.43%	0	0.00	0.23
19	Cameron Gaunce	Gulls (ANA)	D	1	0	0	0	-1	0	0	2	0	0	0	0.00%	3	8.42	0	0	0	0.00%	0	0.00	-0.15
20	Tristin Langan	Gulls (ANA)	C	5	0	0	0	0	0	0	0	0	0	0	0.00%	0	2.54	0	9	0	22.22%	0	0.00	-0.02
Team Total or Average			90	15	28	43	36	71	15	114	150	46	137	10.00%	44	16.17	0	101	154	1	49.50%	400	0	0.59	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	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Matthew Berlin	Gulls (ANA)	4	1	3	0	0.905	3.28	238	0	13	137	0	1	0.000	0	4	1	0	1	0
2	Taylor Gauthier	Gulls (ANA)	1	0	1	0	0.857	5.09	59	0	5	35	0	0	0.000	0	1	4	0	0	0
Team Total or Average		5	1	4	0	0.895	3.62	298	0	18	172	0	1	0.000	0	5	5	0	1	0

Salary

Player Name	POS	Age	Cap Hit	2023-24	2024-25	2025-26	2026-27	2027-28
Alex Turcotte	C	23	2,444,167$	2,444,167$	2,444,167$	RFA
Andrew Ladd	C	38	5,500,000$	5,500,000$	UFA
Bobby McMann	C	27	762,500$	762,500$	762,500$	1,350,000$	1,350,000$	UFA
Brett Seney	LW	28	750,000$	750,000$	775,000$	UFA
Cameron Gaunce	D	34	750,000$	775,000$	UFA
Connor Hvidston	C/LW	19	750,000$	750,000$	RFA
Cooper Marody	RW	27	762,500$	762,500$	762,500$	UFA
Curtis McKenzie	C/LW	33	775,000$	775,000$	UFA
Daniil Chayka	D	21	880,000$	880,000$	880,000$	880,000$	RFA
Declan Carlile	D	23	925,000$	925,000$	925,000$	RFA
Eddie Wittchow	D	31	750,000$	775,000$	UFA
Eeli Tolvanen	LW/RW	25	1,450,000$	1,450,000$	1,450,000$	RFA
Greg Printz	C/LW	26	750,000$	775,000$	RFA
Jacob Kucharski	G	24	750,000$	750,000$	RFA
Jake Wise	C	24	750,000$	750,000$	RFA
Kristian Reichel	C	25	775,000$	775,000$	775,000$	RFA
Kristians Rubins	D	26	750,000$	750,000$	RFA
Matthew Berlin	G	26	775,000$	775,000$	RFA
Matthew Mackie Samoskevich	C	21	925,000$	925,000$	925,000$	925,000$	925,000$	RFA
Michael Mersch	RW	31	775,000$	775,000$	UFA
Nikolas Brouillard	D	29	775,000$	775,000$	775,000$	UFA
Nils Aman	C	24	925,000$	925,000$	925,000$	825,000$	825,000$	UFA
Ondrej Kase	RW	28	1,500,000$	1,500,000$	UFA
Rhett Gardner	C	28	750,000$	750,000$	775,000$	775,000$	UFA
Seth Helgeson	D	33	775,000$	775,000$	UFA
Steven Fogarty	C	31	762,500$	762,500$	762,500$	UFA
Taylor Gauthier	G	23	925,000$	925,000$	925,000$	925,000$	RFA
Tristin Langan	C	25	775,000$	775,000$	RFA
Turner Ottenbreit	D	26	750,000$	775,000$	RFA
Yanni Kaldis	D	28	750,000$	775,000$	UFA

Lines

Forward Lines
# - Eeli Tolvanen	# - Andrew Ladd	# - Ondrej Kase
# - Brett Seney	# - Curtis McKenzie	# - Michael Mersch
# - Greg Printz	# - Rhett Gardner	# - Cooper Marody
# - Eeli Tolvanen	# - Nils Aman	# - Andrew Ladd

Defensive Pairings
# - Eddie Wittchow	# - Yanni Kaldis
# - Turner Ottenbreit	# - Seth Helgeson
# - Declan Carlile	# - Nils Aman

1st Power Play Unit
# - Eeli Tolvanen		# - Andrew Ladd		# - Ondrej Kase
# - Eddie Wittchow			# - Yanni Kaldis

2nd Power Play Unit
# - Brett Seney		# - Curtis McKenzie		# - Michael Mersch
# - Turner Ottenbreit			# - Seth Helgeson

Goalies
# - Taylor Gauthier		# - Matthew Berlin

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	SO	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	Condors	5	1	4	15	19	-4	2	0.200	15	28	43	1	4	6	5	150	45	52	53	173	44	71	114	11	0.00%	25	11	56.00%	74	147	50.34%	77	168	45.83%	47	85	55.29%	108	70	123	39	68	33	65.2%	10.0%	89.0%	99.0	FUN
	_Vs Division	5	1	4	15	19	-4	2	0.200	15	28	43	1	4	6	5	150	45	52	53	173	44	71	114	11	0.00%	25	11	56.00%	74	147	50.34%	77	168	45.83%	47	85	55.29%	108	70	123	39	68	33	65.2%	10.0%	89.0%	99.0	FUN
	_Vs Conference	5	1	4	15	19	-4	2	0.200	15	28	43	1	4	6	5	150	45	52	53	173	44	71	114	11	0.00%	25	11	56.00%	74	147	50.34%	77	168	45.83%	47	85	55.29%	108	70	123	39	68	33	65.2%	10.0%	89.0%	99.0	FUN
	_Since Last GM Reset	5	1	4	15	19	-4	2	0.200	15	28	43	1	4	6	5	150	45	52	53	173	44	71	114	11	0.00%	25	11	56.00%	74	147	50.34%	77	168	45.83%	47	85	55.29%	108	70	123	39	68	33	65.2%	10.0%	89.0%	99.0	FUN
	Total	5	1	4	15	19	-4	2	0.200	15	28	43	1	4	6	5	150	45	52	53	173	44	71	114	11	0.00%	25	11	56.00%	74	147	50.34%	77	168	45.83%	47	85	55.29%	108	70	123	39	68	33	65.2%	10.0%	89.0%	99.0	FUN

	Puck Time
Offensive Zone	21
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	147
Neutral Zone Start	85
Defensive Zone Start	168

	Puck Time
With Puck	28
Without Puck	31

	Faceoffs
Faceoffs Won	198
Faceoffs Lost	202

	Team Average Shots after	League Average Shots after
1st Period	9.0	9.57
2nd Period	19.4	20.31
3rd Period	30.0	30.68
Overtime	30.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.8	0.64
2nd Period	2.0	1.65
3rd Period	3.0	2.67
Overtime	3.0	2.83


Even Strenght Goal	14
PP Goal	0
PK Goal	0
Empty Net Goal	1

	Home	Away
Win	1	0
Lost	1	3
Overtime Lost	0	0


PP Attempt	11
PP Goal	0
PK Attempt	25
PK Goal Against	11

	Home
Shots For	30.0
Shots Against	34.6
Goals For	3.0
Goals Against	3.8
Hits	22.8
Shots Blocked	8.8
Pim	14.2

Schedule

Date	Matchup			Result	Detail
Trade Deadline --- Trades can�t be done after this day is simulated!
Sat, Apr 20	SDG	@	BAK	SDG2,BAK4	RECAP
Mon, Apr 22	SDG	@	BAK	SDG2,BAK3	RECAP
Wed, Apr 24	BAK	@	SDG	BAK2,SDG4	RECAP
Fri, Apr 26	BAK	@	SDG	BAK5,SDG3	RECAP
Sun, Apr 28	SDG	@	BAK	SDG4,BAK5	RECAP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,156,167$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	39$	19$	$	$	$
Attendance	2858	1648
Attendance PCT	71.45%	82.40%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
39	2253 - 75.10%	106,367$	212,734$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,156,167$	3,143,667$	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

Condors4-3-0, 8pts

53Final

Gulls1-4-0, 2pts

45Final

Condors4-3-0, 8pts

Gulls1-4-0, 2pts

Mon, Apr 29

Condors4-3-0, 8pts

Gulls1-4-0, 2pts

Tue, Apr 23

Condors4-3-0, 8pts

Thu, Apr 25

Gulls1-4-0, 2pts

TRANSACTIONS

Team Info


	Head Coach	Haley Wickenheiser
	Division	PACIFIQUE
	City	San Diego
	Stadium Capacity	3,000

Gulls Affiliation


	General Manager
	Head Coach	Gordon Bombay
	Stadium
	Capacity	17,000

Team Leaders

GOALS Eeli Tolvanen Gulls	4 GOALS
POINTS Andrew Ladd Gulls	6 POINTS
WINS Matthew Berlin Gulls	1 WINS
Expanded Player Leaderboard

Team Stats

Goals For 15 3.00 GFG	Goals Against 19 3.80 GAA
Power Play Percentage 0.0% 0 GF	Penalty Kill Percentage 56.0% 11 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain