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
Adam Cracknell (C)	14	C	100.00	76	39	91	66	85	95	88	64	73	65	63	64	61	77	79	0	50	73	37	1,162,000$/1yrs
Eeli Tolvanen (A)	11	RW	100.00	77	34	82	71	70	83	87	68	56	69	70	66	73	63	66	0	50	73	24	2,005,000$/3yrs
Gaetan Haas	27	C	100.00	71	35	93	68	72	84	92	66	72	64	63	67	66	76	69	0	50	71	31	850,000$/1yrs
Loui Eriksson	28	LW	100.00	58	35	92	65	76	81	83	67	54	68	56	73	66	89	77	0	50	71	37	992,000$/1yrs
Tom Kuhnhackl	34	LW/RW	100.00	75	35	95	65	78	69	72	61	58	64	63	74	62	77	73	0	50	71	31	966,000$/1yrs
Tobias Rieder	23	C/LW/RW	100.00	58	35	94	73	69	78	85	66	60	64	63	76	66	75	68	0	50	71	30	1,172,000$/1yrs
Cooper Marody	18	C	100.00	62	39	88	65	73	85	79	66	70	67	62	63	64	66	68	0	50	69	26	1,097,000$/3yrs
Kristian Vesalainen (R)	91	LW	100.00	73	39	88	65	86	70	83	64	59	62	61	63	66	64	67	0	50	69	24	1,528,000$/1yrs
Cal O'Reilly	16	C	100.00	64	37	91	63	72	79	91	62	73	66	61	63	62	76	81	0	50	69	36	750,000$/1yrs
Rhett Gardner	37	C/LW	100.00	78	43	86	59	85	77	86	60	74	58	60	61	59	66	68	0	50	68	27	843,750$/2yrs
Rasmus Sandin (R) (A)	38	D	100.00	73	34	91	74	68	86	77	72	30	74	65	66	54	63	65	0	50	73	23	1,231,389$/3yrs
Jalen Chatfield	21	D	100.00	68	39	77	64	74	82	85	65	30	66	58	62	50	66	68	0	50	69	27	790,000$/3yrs
Brendan Guhle (R)	8	D	100.00	77	35	83	64	80	82	71	63	30	61	56	62	51	65	67	0	50	68	25	901,000$/1yrs
Brandon Davidson	7	D	100.00	82	43	70	59	82	81	65	56	30	55	52	68	46	71	73	0	50	67	31	825,000$/1yrs
Kristians Rubins (R)	9	D	100.00	85	74	59	54	95	76	73	55	30	57	56	59	50	65	67	0	50	66	25	795,000$/2yrs
Ryan Stanton	52	D	100.00	68	39	75	56	77	71	83	55	30	59	53	56	46	73	75	0	50	64	33	750,000$/1yrs
Scratches
Andrew Ladd	11	LW	100.00	71	39	73	61	84	83	76	62	57	61	64	66	63	89	77	0	50	70	37	3,153,000$/2yrs
Steven Fogarty	39	C	100.00	69	39	80	62	83	82	83	61	72	63	60	65	61	69	71	0	50	69	30	758,333$/3yrs
Brett Seney	8	LW	100.00	69	38	88	63	60	83	84	62	65	61	58	64	62	66	68	0	50	67	27	818,500$/2yrs
Bobby McMann	72	LW	100.00	69	38	92	60	79	88	84	59	56	54	63	60	61	66	68	0	50	67	26	775,000$/3yrs
Marko Dano	26	LW	100.00	67	46	79	66	73	77	72	63	57	60	59	62	65	73	67	0	50	67	28	950,000$/1yrs
John Quenneville	21	C/LW/RW	100.00	80	35	95	60	76	72	79	61	67	58	60	59	60	69	68	0	50	67	27	898,000$/1yrs
Vladimir Tkachev	54	LW	100.00	61	37	79	68	63	84	73	67	61	66	59	52	69	67	68	0	50	67	27	750,000$/1yrs
Liam O'Brien	8	C	100.00	90	72	55	59	80	73	76	58	70	56	57	55	59	67	68	0	50	66	28	769,000$/3yrs
Graham Knott	51	LW	100.00	74	39	90	58	83	73	89	57	60	56	58	59	57	65	67	0	50	66	26	750,000$/1yrs
Kristian Reichel (R)	88	C	100.00	62	37	80	56	68	83	73	57	67	58	59	62	59	64	66	0	50	64	24	750,000$/3yrs
Josh Dickinson (R)	25	C	100.00	69	39	77	55	78	75	76	54	61	55	56	58	53	65	67	0	50	64	25	750,000$/1yrs
Ethan Prow	4	D	100.00	59	36	92	67	69	78	87	65	30	64	66	63	55	70	72	0	50	69	30	867,000$/1yrs
Gianni Fairbrother (R)	2	D	100.00	64	45	57	54	73	63	60	54	30	57	52	54	46	62	64	0	50	60	22	903,333$/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
Stuart Skinner	50	100.00	78	80	75	88	77	76	78	77	76	78	77	64	71	0	50	79	24	1,895,000$/5yrs
Landon Bow	31	100.00	70	94	92	93	69	68	70	69	68	70	69	71	75	0	50	76	27	840,000$/1yrs
Scratches
Michael McNiven	32	100.00	68	70	69	77	67	66	68	67	66	68	67	66	73	0	50	70	25	880,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Haley Wickenheiser	75	75	75	75	75	75	75	Can	44	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	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	EG	P/GP	GSAVG
1	Eeli Tolvanen	Gulls (ANA)	RW	25	14	15	29	9	14	0	76	151	27	99	9.27%	10	23.99	1	3	4	1	0	1	58	1	0	32.79%	0	1.16	1.44
2	Tobias Rieder	Gulls (ANA)	C/LW/RW	25	12	17	29	3	4	0	14	101	34	76	11.88%	7	19.89	3	2	5	0	1	1	43	2	2	35.00%	0	1.16	1.20
3	Adam Cracknell	Gulls (ANA)	C	24	13	13	26	9	10	0	39	66	32	64	19.70%	5	20.49	4	5	9	0	1	1	30	2	0	49.64%	0	1.08	1.11
4	Rasmus Sandin	Gulls (ANA)	D	24	5	21	26	10	6	0	54	54	16	38	9.26%	33	24.30	2	6	8	1	1	2	71	1	0	0.00%	0	1.08	1.14
5	Loui Eriksson	Gulls (ANA)	LW	25	10	15	25	2	2	0	22	86	24	71	11.63%	5	20.98	1	6	7	1	0	1	58	2	1	42.86%	0	1.00	1.05
6	Gaetan Haas	Gulls (ANA)	C	25	11	13	24	4	10	0	63	75	27	42	14.67%	9	21.27	2	2	4	0	0	0	67	1	2	47.92%	0	0.96	0.94
7	Tom Kuhnhackl	Gulls (ANA)	LW/RW	23	8	14	22	11	6	0	20	67	24	53	11.94%	7	18.38	1	6	7	0	0	0	24	1	1	46.43%	0	0.96	1.09
8	Cal O'Reilly	Gulls (ANA)	C	25	5	12	17	-1	2	0	13	64	22	50	7.81%	4	14.63	0	0	0	0	0	0	9	1	0	48.07%	0	0.68	0.66
9	Andrew Ladd	Gulls (ANA)	LW	18	7	7	14	4	24	0	32	55	13	42	12.73%	4	14.10	0	0	0	0	0	0	0	1	0	33.33%	0	0.78	0.71
10	Steven Fogarty	Gulls (ANA)	C	25	5	6	11	7	14	0	25	47	19	39	10.64%	3	11.26	0	0	0	0	0	0	0	2	0	38.24%	0	0.44	0.51
11	Ethan Prow	Gulls (ANA)	D	18	4	7	11	4	2	0	11	34	16	18	11.76%	19	21.22	2	0	2	0	1	1	51	1	0	0.00%	0	0.61	0.71
12	Brendan Guhle	Gulls (ANA)	D	25	1	10	11	12	18	0	37	30	11	19	3.33%	44	21.76	1	2	3	0	0	0	68	0	0	0.00%	0	0.44	0.57
13	Jalen Chatfield	Gulls (ANA)	D	25	3	8	11	13	16	0	59	36	9	24	8.33%	44	23.86	1	1	2	0	0	0	63	0	0	0.00%	0	0.44	0.63
14	Brandon Davidson	Gulls (ANA)	D	25	2	7	9	-1	16	0	46	21	11	15	9.52%	34	17.37	1	0	1	0	0	0	31	0	0	0.00%	0	0.36	0.30
15	Kristian Vesalainen	Gulls (ANA)	LW	25	1	7	8	1	12	0	24	44	15	29	2.27%	8	12.69	0	0	0	0	0	0	0	0	0	27.27%	0	0.32	0.33
16	Kristians Rubins	Gulls (ANA)	D	22	0	5	5	-5	36	0	54	11	4	7	0.00%	23	14.76	0	0	0	0	1	1	9	0	0	0.00%	0	0.23	-0.07
17	Cooper Marody	Gulls (ANA)	C	24	1	3	4	1	2	0	2	18	4	12	5.56%	0	4.40	0	0	0	0	0	0	2	0	0	48.80%	0	0.17	0.17
18	Bobby McMann	Gulls (ANA)	LW	1	0	1	1	1	0	0	0	0	2	1	0.00%	0	6.03	0	0	0	0	0	0	0	0	0	0.00%	0	1.00	1.07
19	Brett Seney	Gulls (ANA)	LW	14	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.46	0	0	0	0	0	0	4	0	0	50.00%	0	0.00	0.00
20	Rhett Gardner	Gulls (ANA)	C/LW	24	0	0	0	0	0	0	7	3	0	3	0.00%	0	1.79	0	0	0	0	0	0	0	0	0	33.33%	0	0.00	0.02
21	Ryan Stanton	Gulls (ANA)	D	8	0	0	0	-2	0	0	2	1	2	0	0.00%	11	14.55	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0.00
Team Total or Average			450	102	181	283	82	194	0	600	964	312	702	10.58%	270	16.51	19	33	52	712	3	5	8	597	15	6	46.91%	2381	0	0.76	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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Stuart Skinner	Gulls (ANA)	25	14	8	1	0.896	3.70	1442	0	1	89	852	0	0.000	0	25	0	1	1	0
2	Landon Bow	Gulls (ANA)	3	1	1	0	0.951	1.62	74	0	0	2	41	0	0.000	0	0	25	0	0	0
Team Total or Average		28	15	9	1	0.898	3.60	1517	0	1	91	893	0	0.000	0	25	25	1	1	0

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22	2022-23
Adam Cracknell	C	37	1,162,000$	1,162,000$	UFA
Andrew Ladd	LW	37	3,153,000$	806,000$	5,500,000$	UFA
Bobby McMann	LW	26	775,000$	800,000$	762,500$	762,500$	UFA
Brandon Davidson	D	31	825,000$	825,000$	UFA
Brendan Guhle	D	25	901,000$	901,000$	RFA
Brett Seney	LW	27	818,500$	887,000$	750,000$	UFA
Cal O'Reilly	C	36	750,000$	750,000$	UFA
Cooper Marody	C	26	1,097,000$	1,766,000$	762,500$	762,500$	UFA
Eeli Tolvanen	RW	24	2,005,000$	3,115,000$	1,450,000$	1,450,000$	UFA
Ethan Prow	D	30	867,000$	867,000$	UFA
Gaetan Haas	C	31	850,000$	850,000$	UFA
Gianni Fairbrother	D	22	903,333$	903,333$	903,333$	903,333$	RFA
Graham Knott	LW	26	750,000$	750,000$	UFA
Jalen Chatfield	D	27	790,000$	845,000$	762,500$	762,500$	UFA
John Quenneville	C/LW/RW	27	898,000$	898,000$	UFA
Josh Dickinson	C	25	750,000$	700,000$	RFA
Kristian Reichel	C	24	750,000$	700,000$	775,000$	775,000$	UFA
Kristian Vesalainen	LW	24	1,528,000$	1,528,000$	RFA
Kristians Rubins	D	25	795,000$	840,000$	750,000$	UFA
Landon Bow	G	27	840,000$	840,000$	UFA
Liam O'Brien	C	28	769,000$	757,000$	775,000$	775,000$	UFA
Loui Eriksson	LW	37	992,000$	992,000$	UFA
Marko Dano	LW	28	950,000$	950,000$	UFA
Michael McNiven	G	25	880,000$	880,000$	RFA
Rasmus Sandin	D	23	1,231,389$	894,167$	1,400,000$	1,400,000$	RFA
Rhett Gardner	C/LW	27	843,750$	937,500$	750,000$	UFA
Ryan Stanton	D	33	750,000$	750,000$	UFA
Steven Fogarty	C	30	758,333$	750,000$	762,500$	762,500$	UFA
Stuart Skinner	G	24	1,895,000$	925,000$	750,000$	2,600,000$	2,600,000$	2,600,000$	UFA
Tobias Rieder	C/LW/RW	30	1,172,000$	1,172,000$	UFA
Tom Kuhnhackl	LW/RW	31	966,000$	966,000$	UFA
Vladimir Tkachev	LW	27	750,000$	750,000$	UFA

Lines

Forward Lines
# - Tom Kuhnhackl	# - Adam Cracknell	# - Eeli Tolvanen
# - Loui Eriksson	# - Gaetan Haas	# - Tobias Rieder
# - Cal O'Reilly
# - Kristian Vesalainen	# - Cal O'Reilly	# - Eeli Tolvanen

Defensive Pairings
# - Rasmus Sandin	# - Jalen Chatfield
# - Brendan Guhle
# - Brandon Davidson	# - Kristian Vesalainen

1st Power Play Unit
# - Tom Kuhnhackl		# - Adam Cracknell		# - Eeli Tolvanen
# - Rasmus Sandin

2nd Power Play Unit
# - Loui Eriksson		# - Gaetan Haas		# - Tobias Rieder
# - Jalen Chatfield			# - Brendan Guhle

Goalies
# - Stuart Skinner		# - Landon Bow

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	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	Providence Bruins	7	3	4	24	28	-4	6	0.429	24	42	66	0	35	37	27	3	270	310	327	318	9	264	73	62	185	23	2	8.70%	30	8	73.33%	0	471	995	47.34%	446	958	46.56%	200	428	46.73%	608	419	586	185	323	161	52.4%	8.9%	89.4%	98.3	Unlucky
2	Eagles	5	4	1	24	17	7	8	0.800	24	42	66	0	35	37	27	3	208	310	327	318	9	144	46	24	119	20	6	30.00%	11	4	63.64%	2	471	995	47.34%	446	958	46.56%	200	428	46.73%	608	419	586	185	323	161	58.1%	11.5%	88.2%	99.7	FUN
3	Thunderbirds	7	4	3	29	22	7	8	0.571	29	51	80	1	35	37	27	3	247	310	327	318	9	257	83	62	162	23	5	21.74%	30	6	80.00%	1	471	995	47.34%	446	958	46.56%	200	428	46.73%	608	419	586	185	323	161	60.0%	11.7%	91.4%	103.2	LUCKY
4	Firebirds	6	4	2	25	24	1	8	0.667	25	46	71	0	35	37	27	3	239	310	327	318	9	228	68	46	134	21	6	28.57%	23	7	69.57%	0	471	995	47.34%	446	958	46.56%	200	428	46.73%	608	419	586	185	323	161	52.8%	10.5%	89.5%	99.9	FUN
	_Vs Division	6	4	2	25	24	1	8	0.667	25	46	71	0	35	37	27	3	239	310	327	318	9	228	68	46	134	21	6	28.57%	23	7	69.57%	0	471	995	47.34%	446	958	46.56%	200	428	46.73%	608	419	586	185	323	161	52.8%	10.5%	89.5%	99.9	FUN
	_Vs Conference	18	12	6	78	63	15	24	0.667	78	139	217	1	35	37	27	3	694	310	327	318	9	629	197	132	415	64	17	26.56%	64	17	73.44%	3	471	995	47.34%	446	958	46.56%	200	428	46.73%	608	419	586	185	323	161	57.0%	11.2%	90.0%	101.2	FUN
	_Since Last GM Reset	25	15	10	102	91	11	30	0.600	102	181	283	1	35	37	27	3	964	310	327	318	9	893	270	194	600	87	19	21.84%	94	25	73.40%	3	471	995	47.34%	446	958	46.56%	200	428	46.73%	608	419	586	185	323	161	55.7%	10.6%	89.8%	100.4	FUN
	Total	25	15	10	102	91	11	30	0.600	102	181	283	1	35	37	27	3	964	310	327	318	9	893	270	194	600	87	19	21.84%	94	25	73.40%	3	471	995	47.34%	446	958	46.56%	200	428	46.73%	608	419	586	185	323	161	55.7%	10.6%	89.8%	100.4	FUN

	Puck Time
Offensive Zone	24
Neutral Zone	12
Defensive Zone	23

	Puck Time
Offensive Zone Start	995
Neutral Zone Start	428
Defensive Zone Start	958

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	1117
Faceoffs Lost	1264

	Team Average Shots after	League Average Shots after
1st Period	12.4	9.57
2nd Period	25.5	20.31
3rd Period	38.2	30.68
Overtime	38.6	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.4	0.64
2nd Period	2.9	1.65
3rd Period	4.0	2.67
Overtime	4.1	2.83


Even Strenght Goal	80
PP Goal	19
PK Goal	3
Empty Net Goal	0

	Home	Away
Win	11	4
Lost	3	7
Overtime Lost	0	0


PP Attempt	87
PP Goal	19
PK Attempt	94
PK Goal Against	25

	Home
Shots For	38.6
Shots Against	35.7
Goals For	4.1
Goals Against	3.6
Hits	24.0
Shots Blocked	10.8
Pim	7.8

Schedule

Date	Matchup			Result	Detail
Trade Deadline --- Trades can�t be done after this day is simulated!
Thu, Apr 20	EAG	@	SDG	EAG4,SDG5 (OT)	RECAP
Sat, Apr 22	EAG	@	SDG	EAG1,SDG4	RECAP
Mon, Apr 24	SDG	@	EAG	SDG3,EAG5	RECAP
Wed, Apr 26	SDG	@	EAG	SDG6,EAG3	RECAP
Fri, Apr 28	EAG	@	SDG	EAG4,SDG6	RECAP
Thu, May 4	FCV	@	SDG	FCV3,SDG5	RECAP
Sat, May 6	FCV	@	SDG	FCV3,SDG4	RECAP
Mon, May 8	SDG	@	FCV	SDG2,FCV5	RECAP
Wed, May 10	SDG	@	FCV	SDG4,FCV3 (OT)	RECAP
Fri, May 12	FCV	@	SDG	FCV6,SDG4	RECAP
Sun, May 14	SDG	@	FCV	SDG6,FCV4	RECAP
Thu, May 18	SPR	@	SDG	SPR4,SDG3	RECAP
Sat, May 20	SPR	@	SDG	SPR0,SDG4	RECAP
Mon, May 22	SDG	@	SPR	SDG4,SPR5 (OT)	RECAP
Wed, May 24	SDG	@	SPR	SDG5,SPR4 (OT)	RECAP
Fri, May 26	SPR	@	SDG	SPR3,SDG4	RECAP
Sun, May 28	SDG	@	SPR	SDG3,SPR5	RECAP
Tue, May 30	SPR	@	SDG	SPR1,SDG6	RECAP
Wed, May 31	PRO	@	SDG	PRO2,SDG4	RECAP
Thu, Jun 1	PRO	@	SDG	PRO2,SDG3	RECAP
Fri, Jun 2	SDG	@	PRO	SDG1,PRO4	RECAP
Sat, Jun 3	SDG	@	PRO	SDG4,PRO6	RECAP
Sun, Jun 4	PRO	@	SDG	PRO3,SDG7	RECAP
Mon, Jun 5	SDG	@	PRO	SDG2,PRO5	RECAP
Tue, Jun 6	PRO	@	SDG	PRO6,SDG3	RECAP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,145,700$	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	25369	12941
Attendance PCT	90.60%	92.44%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
27	2736 - 91.21%	131,468$	1,840,554$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,145,700$	3,316,530$	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$	0	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

Gulls15-10-0, 30pts

25Final

Providence Bruins16-9-0, 32pts

63Final

Gulls15-10-0, 30pts

Providence Bruins16-9-0, 32pts

Wed, Jun 07

Gulls15-10-0, 30pts

Eagles1-4-0, 2pts

Sun, Apr 23

Gulls15-10-0, 30pts

Tue, Apr 25

Eagles1-4-0, 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	14 GOALS
POINTS Eeli Tolvanen Gulls	29 POINTS
WINS Stuart Skinner Gulls	14 WINS
Expanded Player Leaderboard

Team Stats

Goals For 102 4.08 GFG	Goals Against 91 3.64 GAA
Power Play Percentage 21.8% 19 GF	Penalty Kill Percentage 73.4% 25 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain