Ultimate Hockey League - 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
Martin Pospisil (R)	0	C/LW/RW	100.00	83	68	80	75	66	59	98	63	64	67	61	65	54	58	58	73	75	73	25	1,000,000$/2yrs
Luke Evangelista	0	RW	100.00	71	40	86	74	68	59	82	68	52	69	67	68	54	59	58	72	75	72	23	797,500$/1yrs
Morgan Barron (R)	0	C/LW/RW	100.00	73	40	89	78	83	51	89	60	81	62	64	77	54	62	58	72	75	72	26	1,350,000$/1yrs
Beck Malenstyn (R)	0	LW/RW	100.00	78	64	86	72	79	51	92	58	62	61	61	76	54	59	58	71	75	71	27	1,000,000$/4yrs
Philip Tomasino	0	C/LW/RW	100.00	75	40	92	71	70	57	74	65	53	65	68	65	58	60	58	70	75	70	23	825,000$/1yrs
Tomas Tatar	0	LW/RW	100.00	72	40	87	72	62	52	89	61	57	63	63	71	58	81	60	70	75	70	34	750,000$/1yrs
Joe Veleno	0	C/LW	100.00	57	40	90	72	74	55	89	61	74	60	60	71	54	63	59	69	75	69	25	800,000$/2yrs
Jordan Eberle	7	C/RW	100.00	66	40	85	73	66	65	51	71	55	74	70	68	74	85	81	69	75	69	35	2,400,000$/1yrs
Maxime Comtois	0	LW	100.00	65	77	62	67	77	57	83	61	84	57	61	61	57	51	51	67	75	67	26	1,550,000$/1yrs
Zack Ostapchuk (R)	0	C/LW	100.00	75	69	83	74	80	51	76	57	76	61	59	69	56	57	58	66	75	66	22	825,000$/2yrs
Dalibor Dvorsky (R)	0	C/RW	100.00	66	72	88	63	72	56	76	61	73	57	61	48	58	35	35	64	75	64	20	875,000$/2yrs
Jakub Demek (R)	0	RW	100.00	67	75	90	63	75	55	68	59	80	57	57	47	54	36	36	62	75	62	22	851,683$/2yrs
Filip Mesar (R)	0	RW	100.00	64	63	88	63	63	55	69	55	41	52	52	54	49	35	35	60	75	60	21	875,000$/1yrs
David Savard	0	D	100.00	62	40	85	64	85	66	91	58	40	65	57	83	54	80	60	75	75	75	34	1,750,000$/1yrs
Jeff Petry	2	D	100.00	66	40	84	68	78	71	53	56	40	64	57	79	54	83	68	68	75	68	37	3,200,000$/1yrs
Jeremy Davies	34	D	100.00	65	65	81	66	66	58	86	55	25	46	49	62	46	44	44	63	75	63	28	450,000$/2yrs
Charles-Alexis Legault (R)	0	D	100.00	65	75	74	63	75	52	82	47	25	37	40	67	38	33	33	60	75	60	21	475,000$/2yrs
Scratches
Gage Goncalves (R)	0	C/LW	99.34	72	44	86	71	68	58	79	64	55	66	65	69	74	57	58	69	75	69	24	775,000$/1yrs
Colton Dach (R)	0	C/LW	100.00	63	64	76	66	75	59	65	61	57	63	61	64	57	56	56	60	75	60	22	825,000$/2yrs
Lucas Ciona (R)	0	LW/RW	100.00	66	76	72	63	76	54	81	50	55	45	50	53	47	40	40	60	75	60	22	830,000$/2yrs
Juraj Pekarcik (R)	0	C/LW/RW	100.00	66	74	85	64	74	53	77	51	52	46	51	56	48	35	35	60	75	60	19	625,000$/2yrs
Riley Kidney (R)	0	C/LW/RW	100.00	65	68	85	63	68	52	80	50	39	46	48	54	46	39	39	59	75	59	22	836,667$/2yrs
Samuel Honzek (R)	0	C/LW	100.00	66	72	88	63	72	53	68	52	48	46	53	57	49	34	34	59	75	59	20	875,000$/2yrs
Servac Petrovsky (R)	0	C/RW	100.00	66	66	93	62	66	50	80	47	25	42	46	53	44	36	36	58	75	58	20	475,000$/1yrs
Adam Zlnka (R)	0	C/LW/RW	100.00	65	65	86	63	65	50	60	48	25	43	46	56	44	32	32	56	75	56	21	450,000$/1yrs
Maros Jedlicka (R)	0	C/LW/RW	100.00	66	72	88	63	72	52	46	48	43	44	47	51	45	31	31	55	75	55	22	450,000$/1yrs
Damon Severson	0	D	83.67	67	64	78	73	77	72	85	62	40	68	61	81	58	77	66	77	75	77	30	3,300,000$/4yrs
Ethan Samson (R)	0	D	74.69	65	67	82	64	67	55	84	50	25	42	44	53	42	38	38	59	75	59	21	846,667$/2yrs
Simon Nemec	0	D	100.00	57	49	75	65	70	63	68	58	41	60	58	65	55	56	56	59	75	59	21	875,000$/1yrs
Christian Kyrou (R)	0	D	100.00	65	65	89	66	65	58	71	51	25	43	42	53	40	36	36	58	75	58	21	725,000$/1yrs
Maxim Strbak (R)	0	D	100.00	65	75	82	64	75	52	75	48	25	39	41	57	39	32	32	58	75	58	20	725,000$/2yrs
Ethan Edwards (R)	0	D	100.00	65	64	70	64	64	53	81	48	25	39	41	54	39	34	34	56	75	56	23	450,000$/3yrs
Isaak Phillips	0	D	100.00	65	74	70	63	75	53	82	47	25	36	41	59	39	41	41	56	75	56	23	775,000$/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
Connor Ingram	0	100.00	70	60	69	78	83	82	73	64	79	81	89	60	56	72	75	72	28	1,950,000$/2yrs
Michael DiPietro	0	100.00	71	77	66	59	71	78	71	71	71	71	64	46	46	65	75	65	26	775,000$/1yrs
Scratches
Harri Sateri	0	100.00	64	79	67	59	64	71	64	64	64	64	57	53	53	59	75	59	35	450,000$/1yrs
Julius Hudacek	31	100.00	63	69	62	59	63	70	63	63	63	63	56	54	54	57	75	57	36	450,000$/1yrs
Matej Marinov	0	100.00	63	56	57	58	63	70	63	63	63	63	56	33	33	56	75	56	22	450,000$/1yrs
Samuel Hlavaj	0	100.00	52	53	66	69	52	59	52	52	52	52	45	35	35	51	75	51	24	450,000$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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	PKM	GW	FO%	FOT	HT	P/20
1	Morgan Barron	Shockers (LYN)	C/LW/RW	13	8	5	13	5	6	0	7	45	10	30	17.78%	8	19.59	1	1	2	37	2	68.75%	16	0	1.02
2	Martin Pospisil	Shockers (LYN)	C/LW/RW	13	1	11	12	7	22	0	35	29	16	30	3.45%	3	19.52	0	0	0	30	0	47.42%	407	0	0.95
3	Jeff Petry	Shockers (LYN)	D	13	5	5	10	4	2	0	16	26	13	14	19.23%	23	21.88	0	1	1	34	2	0.00%	0	0	0.70
4	Luke Evangelista	Shockers (LYN)	RW	13	3	6	9	4	0	0	11	38	14	32	7.89%	4	18.00	0	1	1	18	0	47.22%	36	0	0.77
5	Joe Veleno	Shockers (LYN)	C/LW	13	5	3	8	0	2	0	8	22	10	16	22.73%	2	13.11	0	0	0	24	0	57.89%	38	1	0.94
6	Beck Malenstyn	Shockers (LYN)	LW/RW	13	1	7	8	-1	8	0	22	44	13	23	2.27%	2	17.70	0	1	1	15	0	47.83%	23	0	0.70
7	Philip Tomasino	Shockers (LYN)	C/LW/RW	13	3	4	7	-3	2	0	25	38	5	25	7.89%	3	17.79	0	0	0	16	0	41.51%	265	0	0.61
8	Gage Goncalves	Shockers (LYN)	C/LW	8	2	5	7	2	0	0	11	27	2	9	7.41%	1	10.89	0	0	0	5	0	46.08%	102	0	1.61
9	Jordan Eberle	Shockers (LYN)	C/RW	13	3	4	7	1	0	0	11	36	6	19	8.33%	2	11.03	0	0	0	0	1	42.42%	66	0	0.98
10	Tomas Tatar	Shockers (LYN)	LW/RW	13	3	4	7	-1	0	0	9	34	10	25	8.82%	1	16.44	0	0	0	0	1	44.00%	25	0	0.66
11	David Savard	Shockers (LYN)	D	13	2	5	7	2	6	0	15	21	7	19	9.52%	23	23.54	1	1	2	34	0	0.00%	0	0	0.46
12	Damon Severson	Shockers (LYN)	D	11	0	6	6	1	2	0	17	16	2	5	0.00%	15	22.60	0	1	1	32	0	0.00%	0	0	0.48
13	Zack Ostapchuk	Shockers (LYN)	C/LW	13	0	4	4	1	2	0	14	23	7	19	0.00%	2	9.63	0	0	0	3	0	48.48%	132	0	0.64
14	Dalibor Dvorsky	Shockers (LYN)	C/RW	13	1	3	4	-2	2	0	11	10	6	6	10.00%	2	11.05	0	0	0	0	0	57.14%	14	0	0.56
15	Maxime Comtois	Shockers (LYN)	LW	13	2	2	4	0	22	0	24	13	4	7	15.38%	11	15.38	0	0	0	0	0	50.00%	6	0	0.40
16	Charles-Alexis Legault	Shockers (LYN)	D	13	1	2	3	0	12	0	24	4	4	8	25.00%	9	16.80	0	0	0	9	0	0.00%	0	0	0.27
17	Jeremy Davies	Shockers (LYN)	D	13	1	1	2	6	4	0	14	10	2	7	10.00%	12	20.69	1	0	1	32	0	0.00%	0	0	0.15
18	Jakub Demek	Shockers (LYN)	RW	9	1	0	1	1	2	0	3	7	2	2	14.29%	0	9.34	0	0	0	0	0	83.33%	18	0	0.24
19	Simon Nemec	Shockers (LYN)	D	4	1	0	1	2	6	0	2	4	0	1	25.00%	2	13.49	0	0	0	0	0	0.00%	0	0	0.37
20	Ethan Samson	Shockers (LYN)	D	2	0	0	0	-1	0	0	4	0	0	0	0.00%	2	16.47	0	0	0	0	0	0.00%	0	0	0.00
21	Filip Mesar	Shockers (LYN)	RW	5	0	0	0	1	0	0	2	2	0	0	0.00%	0	6.88	0	0	0	0	0	0.00%	6	0	0.00
Team Total or Average			234	43	77	120	29	100	0	285	449	133	297	9.58%	127	16.32	3	6	9	387	296	6	46.79%	1154	1	0.63

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	S3
1	Connor Ingram	Shockers (LYN)	11	5	5	0	0.871	3.79	602	0	38	295	0	1	0.000	0	10	3	0
2	Michael DiPietro	Shockers (LYN)	4	1	2	0	0.873	3.41	176	0	10	79	0	0	0.000	0	3	10	0
Team Total or Average		15	6	7	0	0.872	3.70	779	0	48	374	0	1	0.000	0	13	13	0

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22
Adam Zlnka	C/LW/RW	21	450,000$	450,000$
Beck Malenstyn	LW/RW	27	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	RFA
Charles-Alexis Legault	D	21	475,000$	475,000$	475,000$
Christian Kyrou	D	21	725,000$	725,000$
Colton Dach	C/LW	22	825,000$	825,000$	825,000$
Connor Ingram	G	28	1,950,000$	1,950,000$	1,950,000$	RFA
Dalibor Dvorsky	C/RW	20	875,000$	875,000$	875,000$
Damon Severson	D	30	3,300,000$	3,300,000$	3,300,000$	3,300,000$	3,300,000$	UFA
David Savard	D	34	1,750,000$	1,750,000$	UFA
Ethan Edwards	D	23	450,000$	450,000$	450,000$	450,000$
Ethan Samson	D	21	846,667$	846,667$	846,667$
Filip Mesar	RW	21	875,000$	875,000$
Gage Goncalves	C/LW	24	775,000$	775,000$	RFA
Harri Sateri	G	35	450,000$	450,000$	UFA
Isaak Phillips	D	23	775,000$	775,000$	RFA
Jakub Demek	RW	22	851,683$	851,683$	851,683$
Jeff Petry	D	37	3,200,000$	3,200,000$	UFA
Jeremy Davies	D	28	450,000$	450,000$	450,000$	RFA
Joe Veleno	C/LW	25	800,000$	800,000$	800,000$	RFA
Jordan Eberle	C/RW	35	2,400,000$	2,400,000$	UFA
Julius Hudacek	G	36	450,000$	450,000$	UFA
Juraj Pekarcik	C/LW/RW	19	625,000$	625,000$	625,000$
Lucas Ciona	LW/RW	22	830,000$	830,000$	830,000$
Luke Evangelista	RW	23	797,500$	797,500$
Maros Jedlicka	C/LW/RW	22	450,000$	450,000$
Martin Pospisil	C/LW/RW	25	1,000,000$	1,000,000$	1,000,000$	RFA
Matej Marinov	G	22	450,000$	450,000$
Maxim Strbak	D	20	725,000$	725,000$	725,000$
Maxime Comtois	LW	26	1,550,000$	1,550,000$	RFA
Michael DiPietro	G	26	775,000$	775,000$	RFA
Morgan Barron	C/LW/RW	26	1,350,000$	1,350,000$	RFA
Philip Tomasino	C/LW/RW	23	825,000$	825,000$	RFA
Riley Kidney	C/LW/RW	22	836,667$	836,667$	836,667$
Samuel Hlavaj	G	24	450,000$	450,000$	450,000$	RFA
Samuel Honzek	C/LW	20	875,000$	875,000$	875,000$
Servac Petrovsky	C/RW	20	475,000$	475,000$
Simon Nemec	D	21	875,000$	875,000$
Tomas Tatar	LW/RW	34	750,000$	750,000$	UFA
Zack Ostapchuk	C/LW	22	825,000$	825,000$	825,000$

Lines

Forward Lines
# - Morgan Barron	# - Martin Pospisil	# - Luke Evangelista
# - Beck Malenstyn	# - Philip Tomasino	# - Tomas Tatar
# - Joe Veleno	# - Jordan Eberle	# - Dalibor Dvorsky
# - Maxime Comtois	# - Zack Ostapchuk	# - Jakub Demek

Defensive Pairings
# - David Savard
# - Jeff Petry	# - Jeremy Davies
# - Charles-Alexis Legault	# - Maxime Comtois

1st Power Play Unit
# - Morgan Barron		# - Martin Pospisil		# - Luke Evangelista
# - Charles-Alexis Legault			# - David Savard

2nd Power Play Unit
# - Beck Malenstyn		# - Philip Tomasino		# - Tomas Tatar
# - Jeff Petry			# - Jeremy Davies

Goalies
# - Michael DiPietro		# - Connor Ingram

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	PPG	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	Sharknado	7	4	3	3.86	3.71	0.14	8	0.571	3.9	7.0	10.9	1	18	13	12	36.6	123	164	162	30.4	11.1	7.14	22.4	3.57	0.43	12.00%	3.43	1.14	66.67%	232	498	46.59%	196	432	45.37%	112	224	50.00%	44.14	29.57	42.29	14.29	24.71	12.29	57.1%	10.5%	87.8%	98.3	FUN
2	Vikings	6	2	4	2.67	3.83	-1.17	4	0.333	2.7	4.7	7.3	0	18	13	12	32.2	123	164	162	27.0	8.2	8.33	21.3	2.83	0.00	0.00%	4.00	1.17	70.83%	232	498	46.59%	196	432	45.37%	112	224	50.00%	51.50	34.50	49.33	16.67	28.83	14.33	50.0%	8.3%	85.8%	94.1	Unlucky
	_Vs Division	7	4	3	3.86	3.71	0.14	8	0.571	3.9	7.0	10.9	1	18	13	12	36.6	123	164	162	30.4	11.1	7.14	22.4	3.57	0.43	12.00%	3.43	1.14	66.67%	232	498	46.59%	196	432	45.37%	112	224	50.00%	44.14	29.57	42.29	14.29	24.71	12.29	57.1%	10.5%	87.8%	98.3	FUN
	_Vs Conference	13	6	7	3.31	3.77	-0.46	12	0.462	3.3	5.9	9.2	1	18	13	12	34.5	123	164	162	28.8	9.8	7.69	21.9	3.23	0.23	7.14%	3.69	1.15	68.75%	232	498	46.59%	196	432	45.37%	112	224	50.00%	23.77	15.92	22.77	7.69	13.31	6.62	54.1%	9.6%	86.9%	96.5	FUN
	_Since Last GM Reset	13	6	7	3.31	3.77	-0.46	12	0.462	3.3	5.9	9.2	1	18	13	12	34.5	123	164	162	28.8	9.8	7.69	21.9	3.23	0.23	7.14%	3.69	1.15	68.75%	232	498	46.59%	196	432	45.37%	112	224	50.00%	23.77	15.92	22.77	7.69	13.31	6.62	54.1%	9.6%	86.9%	96.5	FUN
	Total	13	6	7	3.31	3.77	-0.46	12	0.462	3.3	5.9	9.2	1	18	13	12	34.5	123	164	162	28.8	9.8	7.69	21.9	3.23	0.23	7.14%	3.69	1.15	68.75%	232	498	46.59%	196	432	45.37%	112	224	50.00%	23.77	15.92	22.77	7.69	13.31	6.62	54.1%	9.6%	86.9%	96.5	FUN

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	22

	Puck Time
Offensive Zone Start	498
Neutral Zone Start	224
Defensive Zone Start	432

	Puck Time
With Puck	30
Without Puck	29

	Faceoffs
Faceoffs Won	540
Faceoffs Lost	614

	Team Average Shots after	League Average Shots after
1st Period	9.5	9.57
2nd Period	22.1	20.31
3rd Period	34.5	30.68
Overtime	34.5	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.4	0.64
2nd Period	2.4	1.65
3rd Period	3.3	2.67
Overtime	3.3	2.83


Even Strenght Goal	39
PP Goal	3
PK Goal	0
Empty Net Goal	1

	Home	Away
Win	4	2
Lost	3	4
Overtime Lost	0	0


PP Attempt	42
PP Goal	3
PK Attempt	48
PK Goal Against	15

	Home
Shots For	34.5
Shots Against	28.8
Goals For	3.3
Goals Against	3.8
Hits	21.9
Shots Blocked	9.8
Pim	7.7

Schedule

Date	Matchup			Result	Detail
Tue, Jun 16	SHA	@	SHO	SHA5,SHO3	RECAP
Thu, Jun 18	SHA	@	SHO	SHA3,SHO5	RECAP
Sat, Jun 20	SHO	@	SHA	SHO5,SHA4	RECAP
Mon, Jun 22	SHO	@	SHA	SHO1,SHA3	RECAP
Wed, Jun 24	SHA	@	SHO	SHA4,SHO6	RECAP
Fri, Jun 26	SHO	@	SHA	SHO2,SHA5	RECAP
Sun, Jun 28	SHA	@	SHO	SHA2,SHO5	RECAP
Fri, Jul 3 06:10	VIK	@	SHO	VIK6,SHO1	RECAP
Sat, Jul 4	VIK	@	SHO	VIK2,SHO1	RECAP
Mon, Jul 6	SHO	@	VIK	SHO6,VIK5	RECAP
Wed, Jul 8	SHO	@	VIK	SHO1,VIK3	RECAP
Fri, Jul 10	VIK	@	SHO	VIK1,SHO3	RECAP
Sun, Jul 12	SHO	@	VIK	SHO4,VIK6	RECAP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,288,752$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	13091	6715
Attendance PCT	93.51%	95.93%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
34	2829 - 94.31%	79,844$	558,910$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,288,752$	3,288,752$	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$	13	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

Vikings8-4-0, 16pts

13Final

Shockers6-7-0, 12pts

46Final

Vikings8-4-0, 16pts

Shockers6-7-0, 12pts

Sun, Jan 04

Vikings8-4-0, 16pts

Sharknado3-4-0, 6pts

Sat, Dec 13

Shockers6-7-0, 12pts

Mon, Dec 15

Sharknado3-4-0, 6pts

TRANSACTIONS

Team Info


	Head Coach
	Division	LaFontaine
	City	Hillsborough
	Stadium Capacity	3,000

Shockers Affiliation


	General Manager	Michael Koval
	Head Coach
	Stadium
	Capacity	18,000

Team Leaders

GOALS Morgan Barron Shockers	8 GOALS
POINTS Morgan Barron Shockers	13 POINTS
WINS Connor Ingram Shockers	5 WINS
Expanded Player Leaderboard

Team Stats

Goals For 43 3.31 GFG	Goals Against 49 3.77 GAA
Power Play Percentage 7.1% 3 GF	Penalty Kill Percentage 68.8% 15 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain