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
Rocco Grimaldi	0	RW	100.00	55	59	69	66	56	69	66	72	55	70	68	62	57	75	66	0	50	69	33	775,000$/1yrs
Brian Halonen	0	LW	100.00	58	59	69	64	75	67	65	67	56	64	70	65	55	65	61	0	50	69	27	775,000$/2yrs
Brad Lambert	0	C	100.00	58	55	70	74	68	69	66	68	56	69	64	61	59	59	57	0	50	68	22	1,168,333$/2yrs
Taylor Ward	0	C	100.00	58	59	67	60	75	70	68	64	56	64	62	64	61	67	61	0	50	66	28	775,000$/4yrs
Andre Lee	0	C	100.00	59	59	73	68	79	61	62	60	55	62	61	61	55	63	60	0	50	65	25	775,000$/2yrs
Wilmer Skoog	0	C	100.00	57	56	68	62	70	69	67	60	55	60	60	62	54	65	60	0	50	64	26	950,000$/2yrs
Cameron Wright	0	RW	100.00	55	57	67	61	68	66	65	59	55	57	60	60	54	66	61	0	50	63	27	952,000$/1yrs
Lleyton Roed	0	C	100.00	54	55	70	61	66	63	61	57	55	56	58	61	54	59	56	0	50	62	23	950,000$/2yrs
Josh Lopina	0	C	100.00	54	56	70	59	72	68	66	58	70	58	56	59	54	61	58	0	50	62	25	925,000$/1yrs
Jagger Joshua	0	LW/RW	100.00	57	56	69	57	70	62	62	56	55	57	55	59	54	65	60	0	50	61	27	775,000$/1yrs
Zac Dalpe	0	C	100.00	53	58	71	57	69	60	59	55	70	54	54	60	54	81	69	0	50	60	36	775,000$/1yrs
Adam Wilsby	0	D	100.00	59	50	79	70	69	67	60	62	41	67	62	76	55	61	60	0	50	69	25	775,000$/1yrs
Dylan Coghlan	0	D	100.00	57	58	71	67	76	66	63	65	41	65	65	63	55	66	61	0	50	68	28	775,000$/2yrs
Adam Ginning	0	D	100.00	58	54	67	58	75	70	67	63	41	64	61	68	55	63	60	0	50	67	26	787,500$/2yrs
Tobie Bisson	0	D	100.00	57	55	68	58	73	68	65	62	40	61	61	67	54	68	62	0	50	66	29	775,000$/1yrs
Jonathan Aspirot	0	D	100.00	59	56	65	59	68	68	66	64	40	65	61	64	54	65	60	0	50	66	27	775,000$/3yrs
Luke Krys	0	D	100.00	56	55	69	59	68	64	62	59	40	59	59	65	54	63	59	0	50	64	25	950,000$/2yrs
Cole Clayton	0	D	100.00	56	54	68	57	71	68	66	59	40	60	57	65	54	62	58	0	50	64	26	810,000$/1yrs
Scratches
Tanner Dickinson	0	C	100.00	53	55	70	58	64	64	62	55	70	55	55	62	56	57	55	0	50	60	24	878,333$/1yrs
Sandis Vilmanis (R)	0	C	100.00	51	51	66	56	66	64	62	57	52	57	55	61	51	51	49	0	50	60	22	855,000$/3yrs
Carter Savoie	0	LW	100.00	54	56	58	56	57	58	58	56	54	55	55	58	54	54	54	0	50	59	24	750,000$/1yrs
Julian Lutz (R)	0	C	100.00	51	51	66	53	66	61	59	54	52	54	52	59	51	51	49	0	50	58	22	950,000$/3yrs
Dawson Barteaux	0	D	100.00	54	54	70	57	69	63	61	57	40	56	56	61	54	62	58	0	50	61	26	775,000$/1yrs
Patrik Koch	0	D	100.00	57	54	67	57	68	60	60	55	40	56	54	62	54	68	60	0	50	61	29	775,000$/1yrs
Filip Kral	0	D	100.00	52	52	64	56	67	64	62	57	38	58	54	59	51	59	54	0	50	60	26	775,000$/1yrs
Ryan Mast (R)	0	D	100.00	55	54	69	55	72	60	59	55	40	55	54	62	54	55	53	0	50	60	23	850,556$/2yrs
Robin Salo	0	D	100.00	54	54	58	56	58	59	58	56	50	56	55	57	54	56	55	0	50	59	27	775,000$/1yrs
Noah Warren (R)	0	D	100.00	52	51	64	53	72	64	62	52	38	52	51	60	51	51	49	0	50	58	21	918,333$/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
Nikita Tolopilo	0	100.00	71	72	71	75	69	67	68	71	61	68	60	64	58	0	50	71	26	950,000$/3yrs
Isaac Poulter	0	100.00	69	71	71	62	70	60	67	69	61	68	63	63	57	0	50	69	24	812,500$/2yrs
Scratches
Dylan Ferguson	60	100.00	55	58	59	59	61	54	63	58	60	63	70	66	56	0	50	62	27	775,000$/1yrs
Ben Gaudreau	0	100.00	55	55	55	60	61	53	61	54	54	60	60	56	51	0	50	59	23	775,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Joel Bouchard	71	68	69	65	74	69	78	CAN	51	3	750,000$

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	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	EG	HT	P/GP	PSG	PSS	GSAVG
1	Brian Halonen	IceHogs (CHI)	LW	26	14	14	28	5	12	0	56	100	32	81	14.00%	8	24.16	4	6	10	1	1	2	74	3	0	51.61%	0	0	1.08	0	0	1.15
2	Taylor Ward	IceHogs (CHI)	C	26	9	18	27	-5	23	5	59	84	21	68	10.71%	8	20.95	0	9	9	0	0	0	20	1	0	51.65%	0	0	1.04	0	0	0.81
3	Dylan Coghlan	IceHogs (CHI)	D	26	3	22	25	1	18	0	55	67	12	42	4.48%	26	24.67	3	5	8	0	1	1	75	0	0	0.00%	0	0	0.96	0	0	0.83
4	Rocco Grimaldi	IceHogs (CHI)	RW	23	9	12	21	0	4	0	27	105	32	60	8.57%	5	22.41	2	5	7	0	0	0	51	0	2	49.51%	0	0	0.91	0	0	1.02
5	Brad Lambert	IceHogs (CHI)	C	22	7	12	19	-1	12	0	39	81	32	71	8.64%	2	21.54	2	5	7	0	0	0	11	3	0	48.04%	1	1	0.86	0	0	0.84
6	Andre Lee	IceHogs (CHI)	C	26	8	10	18	-4	16	0	33	51	18	45	15.69%	4	17.12	2	5	7	1	0	1	55	0	1	43.90%	0	0	0.69	0	0	0.49
7	Adam Wilsby	IceHogs (CHI)	D	21	4	14	18	-9	6	0	34	42	17	30	9.52%	20	20.37	2	4	6	0	1	1	19	2	0	0.00%	0	0	0.86	0	0	0.63
8	Josh Lopina	IceHogs (CHI)	C	26	7	9	16	-8	8	0	30	60	18	43	11.67%	3	22.81	2	1	3	0	0	0	77	1	0	57.50%	0	0	0.62	0	0	0.50
9	Adam Ginning	IceHogs (CHI)	D	26	6	9	15	-4	22	0	44	66	21	27	9.09%	45	21.84	3	2	5	0	0	0	73	1	0	0.00%	0	0	0.58	0	0	0.53
10	Tobie Bisson	IceHogs (CHI)	D	26	6	7	13	0	12	0	53	31	6	27	19.35%	24	20.50	4	3	7	0	0	0	59	1	0	0.00%	0	0	0.50	0	0	0.46
11	Luke Krys	IceHogs (CHI)	D	20	1	10	11	1	10	0	33	16	4	20	6.25%	24	19.26	0	0	0	0	0	0	55	0	0	0.00%	0	0	0.55	0	0	0.46
12	Jagger Joshua	IceHogs (CHI)	LW/RW	26	5	5	10	-7	8	0	37	46	9	18	10.87%	3	16.80	0	0	0	0	0	0	15	0	1	42.86%	0	0	0.38	0	0	0.30
13	Jonathan Aspirot	IceHogs (CHI)	D	24	4	6	10	-12	16	0	49	43	8	19	9.30%	37	20.19	2	1	3	0	0	0	45	1	1	0.00%	0	0	0.42	0	0	0.25
14	Wilmer Skoog	IceHogs (CHI)	C	26	5	4	9	-5	8	0	39	65	19	47	7.69%	6	16.84	2	2	4	0	0	0	1	2	0	50.00%	0	0	0.35	0	0	0.39
15	Cole Clayton	IceHogs (CHI)	D	21	2	7	9	7	10	0	18	12	1	6	16.67%	12	10.60	0	0	0	0	0	0	4	0	0	0.00%	0	0	0.43	0	0	0.41
16	Cameron Wright	IceHogs (CHI)	RW	26	2	5	7	-5	24	0	27	42	15	31	4.76%	3	16.21	0	0	0	0	0	0	2	0	1	74.19%	0	0	0.27	0	0	0.13
17	Lleyton Roed	IceHogs (CHI)	C	26	1	1	2	2	6	0	15	13	3	20	7.69%	3	6.08	0	0	0	0	0	0	0	0	0	46.15%	0	0	0.08	0	0	0.11
18	Zac Dalpe	IceHogs (CHI)	C	26	0	1	1	-1	0	0	5	8	2	0	0.00%	1	3.34	0	1	1	0	0	0	25	0	0	64.06%	0	0	0.04	0	0	0.04
19	Tanner Dickinson	IceHogs (CHI)	C	9	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.67	0	0	0	0	0	0	0	0	0	33.33%	0	0	0.00	0	0	0.00
20	Sandis Vilmanis	IceHogs (CHI)	C	16	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0.00
Team Total or Average			468	93	166	259	-45	215	5	653	932	270	655	9.98%	234	17.11	28	49	77	979	2	3	5	670	15	6	49.55%	2436	0	0	1	1	0.65	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	Isaac Poulter	IceHogs (CHI)	26	15	10	1	0.896	3.50	1613	4	0	94	907	0	0.000	0	26	0	2	0	2
2	Nikita Tolopilo	IceHogs (CHI)	1	0	0	0	1.000	0.00	23	0	0	0	17	0	0.000	0	0	26	0	0	0
Team Total or Average		27	15	10	1	0.898	3.45	1636	4	0	94	924	0	0.000	0	26	26	2	0	2

Salary

Player Name	POS	Age	Cap Hit	2023-24	2024-25	2025-26	2026-27	2027-28
Adam Ginning	D	26	787,500$	787,500$	787,500$	UFA
Adam Wilsby	D	25	775,000$	775,000$	RFA
Andre Lee	C	25	775,000$	775,000$	775,000$	UFA
Ben Gaudreau	G	23	775,000$	775,000$	RFA
Brad Lambert	C	22	1,168,333$	1,168,333$	1,168,333$	RFA
Brian Halonen	LW	27	775,000$	775,000$	775,000$	UFA
Cameron Wright	RW	27	952,000$	952,000$	UFA
Carter Savoie	LW	24	750,000$	750,000$	RFA
Cole Clayton	D	26	810,000$	810,000$	RFA
Dawson Barteaux	D	26	775,000$	775,000$	RFA
Dylan Coghlan	D	28	775,000$	775,000$	775,000$	UFA
Dylan Ferguson	G	27	775,000$	775,000$	UFA
Filip Kral	D	26	775,000$	775,000$	UFA
Isaac Poulter	G	24	812,500$	812,500$	775,000$	RFA
Jagger Joshua	LW/RW	27	775,000$	775,000$	UFA
Jonathan Aspirot	D	27	775,000$	775,000$	887,500$	887,500$	UFA
Josh Lopina	C	25	925,000$	925,000$	RFA
Julian Lutz	C	22	950,000$	950,000$	950,000$	950,000$	RFA
Lleyton Roed	C	23	950,000$	950,000$	950,000$	RFA
Luke Krys	D	25	950,000$	950,000$	950,000$	UFA
Nikita Tolopilo	G	26	950,000$	950,000$	775,000$	775,000$	UFA
Noah Warren	D	21	918,333$	918,333$	918,333$	918,333$	RFA
Patrik Koch	D	29	775,000$	775,000$	UFA
Robin Salo	D	27	775,000$	775,000$	UFA
Rocco Grimaldi	RW	33	775,000$	775,000$	UFA
Ryan Mast	D	23	850,556$	850,556$	850,556$	RFA
Sandis Vilmanis	C	22	855,000$	855,000$	855,000$	855,000$	RFA
Tanner Dickinson	C	24	878,333$	878,333$	RFA
Taylor Ward	C	28	775,000$	775,000$	775,000$	875,000$	875,000$	UFA
Tobie Bisson	D	29	775,000$	775,000$	UFA
Wilmer Skoog	C	26	950,000$	950,000$	775,000$	UFA
Zac Dalpe	C	36	775,000$	775,000$	UFA

Lines

Forward Lines
# - Brian Halonen	# - Rocco Grimaldi	# - Lleyton Roed
# - Josh Lopina	# - Taylor Ward	# - Jagger Joshua
# - Wilmer Skoog	# - Brad Lambert	# - Cameron Wright
# - Taylor Ward	# - Brian Halonen	# - Rocco Grimaldi

Defensive Pairings
# - Luke Krys	# - Jonathan Aspirot
# - Dylan Coghlan	# - Tobie Bisson
# - Adam Ginning	# - Adam Wilsby

1st Power Play Unit
# - Brian Halonen		# - Rocco Grimaldi		# - Wilmer Skoog
# - Adam Ginning			# - Adam Wilsby

2nd Power Play Unit
# - Taylor Ward		# - Brad Lambert		# - Josh Lopina
# - Dylan Coghlan			# - Tobie Bisson

Goalies
# - Isaac Poulter		# - Nikita Tolopilo

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	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	Wolves	7	3	4	23	25	-2	6	0.429	23	42	65	38	23	28	4	250	323	270	284	55	247	64	58	173	29	10	34.48%	27	7	74.07%	0	474	970	48.87%	497	988	50.30%	236	478	49.37%	638	426	634	215	367	186	41.9%	9.2%	89.9%	99.1	FUN
2	Barracuda	5	4	1	18	16	2	8	0.800	18	33	51	38	23	28	4	173	323	270	284	55	187	52	46	151	24	4	16.67%	21	2	90.48%	0	474	970	48.87%	497	988	50.30%	236	478	49.37%	638	426	634	215	367	186	50.0%	10.4%	91.4%	101.8	LUCKY
3	Gulls	7	4	3	25	23	2	8	0.571	25	43	68	38	23	28	4	237	323	270	284	55	258	61	57	156	30	7	23.33%	23	5	78.26%	1	474	970	48.87%	497	988	50.30%	236	478	49.37%	638	426	634	215	367	186	50.0%	10.5%	91.1%	101.6	Unlucky
4	Moose	7	4	3	27	30	-3	8	0.571	27	48	75	38	23	28	4	272	323	270	284	55	232	57	58	173	36	7	19.44%	28	6	78.57%	1	474	970	48.87%	497	988	50.30%	236	478	49.37%	638	426	634	215	367	186	45.5%	9.9%	87.1%	97.0	FUN
	_Vs Division	7	4	3	27	30	-3	8	0.571	27	48	75	38	23	28	4	272	323	270	284	55	232	57	58	173	36	7	19.44%	28	6	78.57%	1	474	970	48.87%	497	988	50.30%	236	478	49.37%	638	426	634	215	367	186	45.5%	9.9%	87.1%	97.0	FUN
	_Vs Conference	19	12	7	70	69	1	24	0.632	70	124	194	38	23	28	4	682	323	270	284	55	677	170	161	480	90	18	20.00%	72	13	81.94%	2	474	970	48.87%	497	988	50.30%	236	478	49.37%	638	426	634	215	367	186	48.1%	10.3%	89.8%	100.1	FUN
	_Since Last GM Reset	26	15	11	93	94	-1	30	0.577	93	166	259	38	23	28	4	932	323	270	284	55	924	234	219	653	119	28	23.53%	99	20	79.80%	2	474	970	48.87%	497	988	50.30%	236	478	49.37%	638	426	634	215	367	186	46.8%	10.0%	89.8%	99.8	FUN
	Total	26	15	11	93	94	-1	30	0.577	93	166	259	38	23	28	4	932	323	270	284	55	924	234	219	653	119	28	23.53%	99	20	79.80%	2	474	970	48.87%	497	988	50.30%	236	478	49.37%	638	426	634	215	367	186	46.8%	10.0%	89.8%	99.8	FUN

	Puck Time
Offensive Zone	24
Neutral Zone	14
Defensive Zone	24

	Puck Time
Offensive Zone Start	970
Neutral Zone Start	478
Defensive Zone Start	988

	Puck Time
With Puck	31
Without Puck	31

	Faceoffs
Faceoffs Won	1207
Faceoffs Lost	1229

	Team Average Shots after	League Average Shots after
1st Period	12.4	9.57
2nd Period	22.8	20.31
3rd Period	33.7	30.68
Overtime	35.8	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.5	0.64
2nd Period	2.3	1.65
3rd Period	3.4	2.67
Overtime	3.6	2.83


Even Strenght Goal	63
PP Goal	28
PK Goal	2
Empty Net Goal	0

	Home	Away
Win	7	8
Lost	7	4
Overtime Lost	0	0


PP Attempt	119
PP Goal	28
PK Attempt	99
PK Goal Against	20

	Home
Shots For	35.8
Shots Against	35.5
Goals For	3.6
Goals Against	3.6
Hits	25.1
Shots Blocked	9.0
Pim	8.4

Schedule

Date	Matchup			Result	Detail
Mon, Mar 30	MAN	@	RFD	MAN4,RFD5 (OT)	RECAP
Wed, Apr 1	MAN	@	RFD	MAN3,RFD8	RECAP
Fri, Apr 3	RFD	@	MAN	RFD1,MAN5	RECAP
Sun, Apr 5	RFD	@	MAN	RFD8,MAN6	RECAP
Tue, Apr 7	MAN	@	RFD	MAN5,RFD0	RECAP
Thu, Apr 9	RFD	@	MAN	RFD1,MAN4	RECAP
Sat, Apr 11	MAN	@	RFD	MAN3,RFD4 (OT)	RECAP
Mon, Apr 13	SDG	@	RFD	SDG4,RFD5	RECAP
Wed, Apr 15	SDG	@	RFD	SDG3,RFD1	RECAP
Fri, Apr 17	RFD	@	SDG	RFD4,SDG5	RECAP
Sun, Apr 19	RFD	@	SDG	RFD5,SDG2	RECAP
Tue, Apr 21	SDG	@	RFD	SDG5,RFD4	RECAP
Thu, Apr 23	RFD	@	SDG	RFD4,SDG3	RECAP
Sat, Apr 25	SDG	@	RFD	SDG1,RFD2	RECAP
Mon, Apr 27	RFD	@	SJB	RFD3,SJB2 (OT)	RECAP
Wed, Apr 29	RFD	@	SJB	RFD4,SJB3	RECAP
Fri, May 1	SJB	@	RFD	SJB5,RFD3	RECAP
Sun, May 3	SJB	@	RFD	SJB3,RFD4	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Tue, May 5	RFD	@	SJB	RFD4,SJB3 (OT)	RECAP
Sun, May 10	CHW	@	RFD	CHW3,RFD5	RECAP
Mon, May 11	CHW	@	RFD	CHW3,RFD2	RECAP
Tue, May 12	RFD	@	CHW	RFD2,CHW4	RECAP
Wed, May 13	RFD	@	CHW	RFD4,CHW3	RECAP
Thu, May 14	CHW	@	RFD	CHW5,RFD2	RECAP
Fri, May 15	RFD	@	CHW	RFD6,CHW4	RECAP
Sat, May 16	CHW	@	RFD	CHW3,RFD2 (OT)	RECAP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,685,755$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	30$	18$	$	$	$
Attendance	27953	13311
Attendance PCT	99.83%	95.08%	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	2947 - 98.25%	114,750$	1,606,501$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,685,755$	2,685,755$	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

Wolves16-11-0, 32pts

Sun, May 17

IceHogs15-11-0, 30pts

Moose3-4-0, 6pts

Thu, Apr 02

IceHogs15-11-0, 30pts

Sat, Apr 04

Moose3-4-0, 6pts

TRANSACTIONS

Team Info


	Head Coach	Joel Bouchard
	Division	CENTRALE
	City	Rockford
	Stadium Capacity	3,000

IceHogs Affiliation


	General Manager
	Head Coach	Barry Trotz
	Stadium
	Capacity	17,000

Team Leaders

GOALS Brian Halonen IceHogs	14 GOALS
POINTS Brian Halonen IceHogs	28 POINTS
WINS Isaac Poulter IceHogs	15 WINS
Expanded Player Leaderboard

Team Stats

Goals For 93 3.58 GFG	Goals Against 94 3.62 GAA
Power Play Percentage 23.5% 28 GF	Penalty Kill Percentage 79.8% 20 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain