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
Nils Hoglander	21	LW/RW	100.00	70	40	84	74	65	55	87	64	51	67	65	70	54	63	58	71	75	71	24	1,100,000$/1yrs
Matias Mantykivi (R)	12	C	100.00	64	64	83	67	64	58	88	62	70	60	60	61	57	41	41	67	75	67	24	700,000$/1yrs
Isaac Howard (R)	53	LW	100.00	66	66	91	63	66	56	80	61	57	56	61	59	58	33	33	65	75	65	21	875,000$/1yrs
Justin Hryckowian (R)	9	C/LW	100.00	65	67	89	63	67	55	84	60	59	56	60	59	57	37	37	64	75	64	24	1,000,000$/4yrs
Tim Washe (R)	0	C/LW	100.00	67	76	85	65	76	55	83	55	59	47	58	60	55	33	33	64	75	64	23	450,000$/2yrs
Graeme Clarke (R) (A)	95	LW/RW	100.00	65	64	86	63	64	56	83	58	45	53	60	47	57	41	41	63	75	63	24	800,000$/1yrs
Miles Wood (A)	44	LW/RW	100.00	70	71	74	76	73	53	45	59	53	62	63	69	54	69	65	63	75	63	29	700,000$/2yrs
Alexandre Texier	85	C/LW	100.00	70	40	86	72	74	56	37	62	52	64	67	64	63	61	58	63	75	63	25	550,000$/5yrs
Anthony Mantha	39	LW/RW	100.00	62	74	82	77	88	59	16	60	53	67	72	69	89	69	59	62	75	62	30	3,600,000$/2yrs
Oliver Moore (R)	41	C	100.00	63	40	73	75	68	71	83	58	56	75	55	62	54	54	58	59	75	59	20	875,000$/2yrs
Raphael Lavoie (R)	50	C/RW	100.00	58	54	70	62	82	65	59	60	56	58	61	63	55	61	57	57	75	57	24	775,000$/1yrs
Daniil Gushchin (R)	75	LW/RW	100.00	58	40	81	63	61	55	79	54	51	61	55	65	54	55	58	55	75	55	23	828,334$/1yrs
Keaton Middleton (R)	67	D	100.00	62	67	80	66	91	56	63	54	41	60	56	77	55	59	59	64	75	64	27	450,000$/1yrs
Jett Woo (R)	4	D	100.00	65	73	66	64	73	54	83	48	25	41	40	68	38	45	45	62	75	62	24	650,000$/1yrs
Spencer Stastney (R) (C)	81	D	100.00	57	48	81	83	68	63	55	57	41	62	56	71	55	59	58	61	75	61	25	825,000$/2yrs
Victor Mancini (R)	90	D	100.00	59	48	79	67	85	63	68	58	41	63	58	68	55	57	57	61	75	61	23	1,500,000$/5yrs
Mike Benning (R)	2	D	100.00	65	64	81	65	64	58	82	55	25	46	49	57	46	36	36	61	75	61	23	5,000,000$/1yrs
Aram Minnetian (R)	27	D	100.00	65	69	84	64	69	53	81	47	25	37	40	65	38	32	32	60	75	60	20	550,000$/2yrs
Scratches
Ben McCartney (R)	62	LW/RW	100.00	65	70	74	63	70	54	76	59	61	54	59	53	56	39	39	63	75	63	23	450,000$/2yrs
Pavol Regenda (R)	84	LW/RW	100.00	67	77	78	64	77	55	85	60	84	57	58	48	55	34	34	63	75	63	25	450,000$/2yrs
Brandon Lisowsky (R)	96	LW	100.00	65	63	87	64	64	55	76	55	32	47	58	51	55	40	40	61	75	61	21	525,000$/1yrs
Jan Jenik (R)	14	C/LW/RW	100.00	65	70	73	63	70	54	74	56	50	49	57	53	54	37	37	61	75	61	24	775,000$/1yrs
Jacob Melanson (R)	63	RW	100.00	65	73	72	63	73	54	74	54	52	47	57	53	53	40	40	61	75	61	22	450,000$/3yrs
Rafael Harvey-Pinard	49	LW/RW	100.00	65	64	88	63	64	55	66	55	50	55	52	56	49	47	47	60	75	60	26	1,100,000$/1yrs
Roni Hirvonen (R)	52	C/LW/RW	100.00	65	63	89	63	64	54	72	54	32	47	57	52	54	37	37	60	75	60	23	856,667$/1yrs
Jayden Perron (R)	88	RW	100.00	64	63	89	63	63	53	78	53	30	47	53	46	49	34	34	60	75	60	20	725,000$/2yrs
Jimmy Clark (R)	23	C/LW	100.00	66	65	91	64	65	51	83	50	34	47	48	58	46	33	33	60	75	60	20	450,000$/1yrs
Topi Niemela (R)	49	D	100.00	65	66	85	65	66	56	83	50	25	43	40	53	38	38	38	59	75	59	23	856,667$/1yrs
Caleb Jones	76	D	100.00	65	69	84	65	70	56	62	51	25	45	41	65	38	49	49	59	75	59	28	775,000$/1yrs
Tomas Hamara (R)	98	D	100.00	65	69	81	64	69	54	72	49	25	42	41	58	39	35	35	58	75	58	21	625,000$/1yrs
Matthew Mania (R)	93	D	100.00	65	69	79	64	69	52	82	47	25	38	40	53	38	36	36	57	75	57	20	500,000$/1yrs
John Ludvig (R)	7	D	100.00	58	52	70	66	77	64	45	57	41	61	55	65	55	61	58	56	75	56	24	450,000$/4yrs
Michael Buchinger (R)	44	D	100.00	65	69	80	65	69	52	75	46	25	35	40	53	38	36	36	56	75	56	21	450,000$/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
Daniil Tarasov	40	98.50	65	58	67	89	90	61	72	64	80	69	86	59	55	68	75	68	26	1,050,000$/1yrs
Daniil Isayev	92	100.00	66	78	66	58	66	73	66	66	66	66	59	46	46	60	75	60	25	500,000$/1yrs
Scratches
Carsen Musser	32	100.00	54	70	63	72	54	61	54	54	54	54	47	32	32	52	75	52	20	475,000$/1yrs
Vadim Zherenko	1	100.00	51	70	63	68	51	58	51	51	51	51	44	39	39	50	75	50	24	846,667$/1yrs
Pheonix Copley	59	100.00	49	80	67	69	49	56	49	49	49	49	42	48	48	49	75	49	33	550,000$/2yrs
Connor Ungar	0	100.00	44	53	64	59	44	51	44	44	44	44	37	36	36	46	75	46	23	450,000$/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	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	HT	P/20
1	Anthony Mantha	Assassins (HIT)	LW/RW	12	10	10	20	8	2	0	14	61	7	32	16.39%	3	18.37	2	4	6	0	0	0	0	2	0	42.11%	19	0	1.81
2	Spencer Stastney	Assassins (HIT)	D	12	3	11	14	9	0	0	21	23	8	24	13.04%	12	23.08	2	1	3	0	0	0	28	0	0	0.00%	0	0	1.01
3	Matias Mantykivi	Assassins (HIT)	C	9	3	10	13	7	2	0	13	32	3	17	9.38%	2	17.93	1	4	5	0	0	0	0	1	0	51.49%	235	0	1.61
4	Nils Hoglander	Assassins (HIT)	LW/RW	11	5	8	13	7	4	0	13	47	13	29	10.64%	3	20.33	1	2	3	0	1	1	27	1	0	40.30%	67	0	1.16
5	Miles Wood	Assassins (HIT)	LW/RW	12	7	5	12	4	6	0	38	58	12	22	12.07%	3	19.91	2	2	4	1	0	1	27	1	0	38.24%	34	1	1.00
6	Victor Mancini	Assassins (HIT)	D	12	2	9	11	9	8	0	25	24	6	14	8.33%	21	22.10	2	3	5	0	0	0	24	0	0	0.00%	0	0	0.83
7	Oliver Moore	Assassins (HIT)	C	12	3	7	10	-2	8	0	20	27	8	18	11.11%	1	13.92	1	5	6	0	0	0	2	1	0	45.78%	225	0	1.20
8	Graeme Clarke	Assassins (HIT)	LW/RW	12	3	4	7	-5	0	0	12	17	5	10	17.65%	0	14.31	0	3	3	0	0	0	3	0	0	27.27%	11	0	0.82
9	Isaac Howard	Assassins (HIT)	LW	12	4	3	7	3	0	0	10	26	9	23	15.38%	1	17.39	0	1	1	0	0	0	0	0	0	40.00%	20	0	0.67
10	Alexandre Texier	Assassins (HIT)	C/LW	10	2	5	7	0	4	0	12	27	4	25	7.41%	3	17.67	1	1	2	0	0	0	18	1	0	39.72%	214	0	0.79
11	Justin Hryckowian	Assassins (HIT)	C/LW	12	3	3	6	-4	6	0	13	21	7	13	14.29%	1	12.75	1	0	1	0	0	0	0	0	0	44.74%	76	0	0.78
12	Daniil Gushchin	Assassins (HIT)	LW/RW	12	1	4	5	-3	0	0	3	22	6	8	4.55%	2	13.35	1	0	1	0	0	0	22	1	0	36.84%	19	0	0.62
13	Mike Benning	Assassins (HIT)	D	12	2	3	5	-4	8	0	18	6	2	1	33.33%	11	17.36	1	0	1	0	0	0	3	0	1	0.00%	0	0	0.48
14	Raphael Lavoie	Assassins (HIT)	C/RW	12	2	2	4	-2	0	0	11	27	9	16	7.41%	3	13.36	0	1	1	0	0	0	13	1	0	27.66%	47	0	0.50
15	Aram Minnetian	Assassins (HIT)	D	12	1	3	4	-5	8	0	25	7	1	3	14.29%	18	16.97	0	0	0	0	0	0	8	0	0	0.00%	0	0	0.39
16	Keaton Middleton	Assassins (HIT)	D	12	0	4	4	-2	2	0	9	10	3	12	0.00%	22	18.83	0	0	0	0	0	0	26	0	0	0.00%	0	0	0.35
17	Jett Woo	Assassins (HIT)	D	12	0	3	3	-4	15	5	30	12	2	2	0.00%	13	18.53	0	1	1	0	0	0	23	0	0	0.00%	0	0	0.27
18	Tim Washe	Assassins (HIT)	C/LW	12	1	2	3	-5	4	0	10	15	3	10	6.67%	3	11.19	0	0	0	0	0	0	0	0	0	51.28%	156	0	0.45
19	Pavol Regenda	Assassins (HIT)	LW/RW	3	0	1	1	-3	0	0	3	3	2	2	0.00%	0	14.62	0	0	0	0	0	0	0	0	0	55.56%	9	0	0.46
20	Ben McCartney	Assassins (HIT)	LW/RW	3	0	0	0	-3	2	0	5	9	1	1	0.00%	0	11.99	0	0	0	0	0	0	0	0	0	50.00%	8	0	0.00
Team Total or Average			216	52	97	149	5	79	5	305	474	111	282	10.97%	122	16.94	15	28	43	457	1	1	2	230	9	1	44.82%	1140	1	0.81

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	Daniil Tarasov	Assassins (HIT)	12	9	3	0	0.897	3.46	745	0	0	43	416	0	0	0	0.000	0	12	0	0	1	1
Team Total or Average		12	9	3	0	0.897	3.46	745	0	0	43	416	0	0	0	0.000	0	12	0	0	1	1

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22	2022-23
Alexandre Texier	C/LW	25	550,000$	550,000$	550,000$	550,000$	550,000$	550,000$	RFA
Anthony Mantha	LW/RW	30	3,600,000$	3,600,000$	3,600,000$	RFA
Aram Minnetian	D	20	550,000$	550,000$	550,000$
Ben McCartney	LW/RW	23	450,000$	450,000$	450,000$	RFA
Brandon Lisowsky	LW	21	525,000$	525,000$
Caleb Jones	D	28	775,000$	775,000$	RFA
Carsen Musser	G	20	475,000$	475,000$
Connor Ungar	G	23	450,000$	450,000$	450,000$
Daniil Gushchin	LW/RW	23	828,334$	828,334$
Daniil Isayev	G	25	500,000$	500,000$	RFA
Daniil Tarasov	G	26	1,050,000$	1,050,000$	RFA
Graeme Clarke	LW/RW	24	800,000$	800,000$	RFA
Isaac Howard	LW	21	875,000$	875,000$
Jacob Melanson	RW	22	450,000$	450,000$	450,000$	450,000$
Jan Jenik	C/LW/RW	24	775,000$	775,000$	RFA
Jayden Perron	RW	20	725,000$	725,000$	725,000$
Jett Woo	D	24	650,000$	650,000$	RFA
Jimmy Clark	C/LW	20	450,000$	450,000$
John Ludvig	D	24	450,000$	450,000$	450,000$	450,000$	450,000$	RFA
Justin Hryckowian	C/LW	24	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	RFA
Keaton Middleton	D	27	450,000$	450,000$	RFA
Matias Mantykivi	C	24	700,000$	700,000$	RFA
Matthew Mania	D	20	500,000$	500,000$
Michael Buchinger	D	21	450,000$	450,000$
Mike Benning	D	23	5,000,000$	5,000,000$
Miles Wood	LW/RW	29	700,000$	700,000$	700,000$	RFA
Nils Hoglander	LW/RW	24	1,100,000$	1,100,000$	RFA
Oliver Moore	C	20	875,000$	875,000$	875,000$
Pavol Regenda	LW/RW	25	450,000$	450,000$	450,000$	RFA
Pheonix Copley	G	33	550,000$	550,000$	550,000$	UFA
Rafael Harvey-Pinard	LW/RW	26	1,100,000$	1,100,000$	RFA
Raphael Lavoie	C/RW	24	775,000$	775,000$	RFA
Roni Hirvonen	C/LW/RW	23	856,667$	856,667$
Spencer Stastney	D	25	825,000$	825,000$	825,000$	RFA
Tim Washe	C/LW	23	450,000$	450,000$	450,000$	RFA
Tomas Hamara	D	21	625,000$	625,000$
Topi Niemela	D	23	856,667$	856,667$
Vadim Zherenko	G	24	846,667$	846,667$	RFA
Victor Mancini	D	23	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$

Lines

Forward Lines
# - Nils Hoglander	# - Matias Mantykivi	# - Anthony Mantha
# - Isaac Howard	# - Alexandre Texier	# - Miles Wood
# - Justin Hryckowian	# - Tim Washe	# - Graeme Clarke
# - Daniil Gushchin	# - Oliver Moore	# - Raphael Lavoie

Defensive Pairings
# - Spencer Stastney	# - Victor Mancini
# - Keaton Middleton	# - Jett Woo
# - Mike Benning	# - Aram Minnetian

1st Power Play Unit
# - Nils Hoglander		# - Matias Mantykivi		# - Anthony Mantha
# - Alexandre Texier			# - Spencer Stastney

2nd Power Play Unit
# - Isaac Howard		# - Oliver Moore		# - Graeme Clarke
# - Victor Mancini			# - Miles Wood

Goalies
# - Daniil Tarasov		# - Daniil Isayev

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	Devils	1	1	0	5.00	2.00	3.00	2	1.000	5.0	9.0	14.0	14	17	18	3	37.0	125	149	170	30	29.0	16.0	10.00	19.0	4.00	2.00	50.00%	5.00	0.00	100.00%	0	205	487	42.09%	209	432	48.38%	97	221	43.89%	289.00	195.00	289.00	96.00	165.00	82.00	60.0%	13.5%	93.1%	106.6	LUCKY
2	Indians	6	4	2	4.00	3.67	0.33	8	0.667	4.0	7.2	11.2	14	17	18	3	40.5	125	149	170	30	32.7	9.2	5.83	23.8	4.67	0.83	17.86%	2.17	0.83	61.54%	1	205	487	42.09%	209	432	48.38%	97	221	43.89%	48.17	32.50	48.17	16.00	27.50	13.67	52.8%	9.9%	88.8%	98.7	FUN
3	Senators	5	4	1	4.60	3.80	0.80	8	0.800	4.6	9.0	13.6	14	17	18	3	38.8	125	149	170	30	38.2	10.2	6.80	28.6	4.60	1.60	34.78%	3.00	0.40	86.67%	0	205	487	42.09%	209	432	48.38%	97	221	43.89%	57.80	39.00	57.80	19.20	33.00	16.40	46.9%	11.9%	90.1%	101.9	FUN
	_Vs Division	11	8	3	4.27	3.73	0.55	16	0.727	4.3	8.0	12.3	14	17	18	3	39.7	125	149	170	30	35.2	9.6	6.27	26.0	4.64	1.18	25.49%	2.55	0.64	75.00%	1	205	487	42.09%	209	432	48.38%	97	221	43.89%	26.27	17.73	26.27	8.73	15.00	7.45	50.0%	10.8%	89.4%	100.2	FUN
	_Vs Conference	12	9	3	4.33	3.58	0.75	18	0.750	4.3	8.1	12.4	14	17	18	3	39.5	125	149	170	30	34.7	10.2	6.58	25.4	4.58	1.25	27.27%	2.75	0.58	78.79%	1	205	487	42.09%	209	432	48.38%	97	221	43.89%	24.08	16.25	24.08	8.00	13.75	6.83	50.7%	11.0%	89.7%	100.6	FUN
	_Since Last GM Reset	12	9	3	4.33	3.58	0.75	18	0.750	4.3	8.1	12.4	14	17	18	3	39.5	125	149	170	30	34.7	10.2	6.58	25.4	4.58	1.25	27.27%	2.75	0.58	78.79%	1	205	487	42.09%	209	432	48.38%	97	221	43.89%	24.08	16.25	24.08	8.00	13.75	6.83	50.7%	11.0%	89.7%	100.6	FUN
	Total	12	9	3	4.33	3.58	0.75	18	0.750	4.3	8.1	12.4	14	17	18	3	39.5	125	149	170	30	34.7	10.2	6.58	25.4	4.58	1.25	27.27%	2.75	0.58	78.79%	1	205	487	42.09%	209	432	48.38%	97	221	43.89%	24.08	16.25	24.08	8.00	13.75	6.83	50.7%	11.0%	89.7%	100.6	FUN

	Puck Time
Offensive Zone	24
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	487
Neutral Zone Start	221
Defensive Zone Start	432

	Puck Time
With Puck	31
Without Puck	30

	Faceoffs
Faceoffs Won	511
Faceoffs Lost	629

	Team Average Shots after	League Average Shots after
1st Period	10.4	9.57
2nd Period	22.8	20.31
3rd Period	37.0	30.68
Overtime	39.5	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.2	0.64
2nd Period	2.6	1.65
3rd Period	4.1	2.67
Overtime	4.3	2.83


Even Strenght Goal	36
PP Goal	15
PK Goal	1
Empty Net Goal	0

	Home	Away
Win	5	4
Lost	2	1
Overtime Lost	0	0


PP Attempt	55
PP Goal	15
PK Attempt	33
PK Goal Against	7

	Home
Shots For	39.5
Shots Against	34.7
Goals For	4.3
Goals Against	3.6
Hits	25.4
Shots Blocked	10.2
Pim	6.6

Schedule

Date	Matchup			Result	Detail
Wed, Jul 23	IND	@	ASS	IND7,ASS8 (OT)	RECAP
Fri, Jun 19	IND	@	ASS	IND2,ASS3	RECAP
Sun, Jun 21	ASS	@	IND	ASS2,IND5	RECAP
Tue, Jun 23	ASS	@	IND	ASS5,IND2	RECAP
Thu, Jun 25	IND	@	ASS	IND5,ASS2	RECAP
Sat, Jun 27	ASS	@	IND	ASS4,IND1	RECAP
Fri, Jul 3 21:02	SEN	@	ASS	SEN5,ASS2	RECAP
Sun, Jul 5	SEN	@	ASS	SEN5,ASS6	RECAP
Tue, Jul 7	ASS	@	SEN	ASS4,SEN3 (OT)	RECAP
Thu, Jul 9	ASS	@	SEN	ASS7,SEN3	RECAP
Sat, Jul 11	SEN	@	ASS	SEN3,ASS4 (OT)	RECAP
Wed, Jul 15	DEV	@	ASS	DEV2,ASS5	RECAP
Fri, Jul 17	DEV	@	ASS
Sun, Jul 19	ASS	@	DEV
Trade Deadline --- Trades can�t be done after this day is simulated!
Tue, Jul 21	ASS	@	DEV
Thu, Jul 23	DEV	@	ASS
Sat, Jul 25	ASS	@	DEV
Mon, Jul 27	DEV	@	ASS

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,453,834$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	13565	6536
Attendance PCT	96.89%	93.37%	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	2872 - 95.72%	81,831$	572,815$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,453,834$	3,453,834$	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$	11	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

Devils8-5-0, 16pts

Fri, Jan 09

Assassins9-3-0, 18pts

Indians2-4-0, 4pts

Sun, Dec 14

Assassins9-3-0, 18pts

Tue, Dec 16

Indians2-4-0, 4pts

TRANSACTIONS

Team Info


	Head Coach
	Division	Gretzky
	City	London
	Stadium Capacity	3,000

Assassins Affiliation


	General Manager	Michael Moniz
	Head Coach
	Stadium
	Capacity	18,000

Team Leaders

GOALS Anthony Mantha Assassins	10 GOALS
POINTS Anthony Mantha Assassins	20 POINTS
WINS Daniil Tarasov Assassins	9 WINS
Expanded Player Leaderboard

Team Stats

Goals For 52 4.33 GFG	Goals Against 43 3.58 GAA
Power Play Percentage 27.3% 15 GF	Penalty Kill Percentage 78.8% 7 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain