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
John Beecher (R)	0	C/LW	99.00	71	40	85	74	82	53	94	58	83	62	60	79	54	58	58	72	75	72	24	925,000$/1yrs
Blake Lizotte	0	C/LW	100.00	76	40	82	75	61	56	71	64	80	64	69	79	54	65	59	70	75	70	27	925,000$/2yrs
Michael Carcone	0	C/LW/RW	100.00	72	68	86	82	65	53	64	64	55	66	66	66	54	59	58	68	75	68	29	1,400,000$/2yrs
Liam Dower-Nilsson (R)	0	C/LW/RW	100.00	65	68	86	65	68	55	88	58	48	50	59	59	56	35	35	65	75	65	22	450,000$/1yrs
Danila Yurov (R)	0	C/RW	100.00	65	65	91	63	64	57	78	61	55	57	60	64	57	42	42	65	75	65	21	875,000$/1yrs
Adam Ruzicka	0	C/RW	100.00	67	78	84	66	79	58	81	62	85	58	63	47	60	44	44	65	75	65	26	450,000$/1yrs
Samuel Blais	79	LW/RW	100.00	66	75	79	63	75	56	73	60	77	56	61	57	58	56	56	64	75	64	29	450,000$/1yrs
Justin Sourdif (R)	0	C/RW	100.00	64	65	74	66	65	57	73	62	59	58	61	52	57	43	43	64	75	64	23	847,500$/1yrs
Lenni Hameenaho (R)	0	RW	100.00	65	67	88	64	67	56	82	59	57	55	61	51	58	35	35	64	75	64	20	625,000$/2yrs
Ayrton Martino (R)	0	LW	100.00	64	61	92	64	61	57	80	59	39	53	60	53	58	33	33	63	75	63	22	450,000$/1yrs
Nikita Chibrikov (R)	0	LW/RW	100.00	65	63	91	64	63	57	73	61	50	56	60	48	58	39	39	63	75	63	22	875,833$/2yrs
Semyon Chistyakov (R)	0	D	100.00	65	70	86	68	70	59	85	55	25	47	49	75	47	44	44	67	75	67	23	550,000$/1yrs
Marc Del Gaizo (R)	0	D	100.00	61	63	80	72	68	65	83	58	41	62	58	76	55	59	59	66	75	66	25	775,000$/1yrs
Zach Metsa (R)	0	D	100.00	65	64	87	66	64	58	81	52	25	47	42	66	40	39	39	63	75	63	26	550,000$/1yrs
Bogdan Konyushkov (R)	0	D	100.00	65	66	89	64	66	55	87	48	25	41	41	59	39	38	38	60	75	60	22	550,000$/2yrs
Jeremie Poirier (R)	0	D	100.00	65	69	76	65	69	58	84	52	25	46	42	53	40	40	40	58	75	58	23	823,333$/1yrs
Seamus Casey (R)	0	D	100.00	57	50	80	67	59	60	50	59	41	63	61	65	55	55	55	57	75	57	21	725,000$/1yrs
Dyllan Gill (R)	0	D	100.00	65	71	87	65	72	53	64	47	25	37	41	59	39	37	37	56	75	56	21	475,000$/1yrs
Scratches
Sasha Pastujov (R)	0	LW/RW	100.00	66	67	91	65	67	57	67	62	64	58	62	49	59	37	37	63	75	63	21	825,000$/2yrs
Andrew Cristall (R)	0	LW	100.00	65	65	84	65	65	56	72	59	50	54	60	57	57	38	38	63	75	63	20	725,000$/2yrs
Jimmy Vesey	0	LW	100.00	68	40	96	66	76	51	52	58	53	61	64	71	58	72	59	63	75	63	32	1,500,000$/1yrs
Caedan Bankier (R)	0	C	100.00	66	71	85	63	70	54	80	54	49	46	57	47	54	39	39	61	75	61	22	867,500$/2yrs
Alexis Gendron (R)	0	C/RW	100.00	64	63	81	63	63	55	74	57	34	49	59	51	56	39	39	60	75	60	21	475,000$/1yrs
Kenny Connors (R)	0	C	100.00	67	75	88	62	75	53	82	51	60	45	50	50	48	34	34	60	75	60	22	500,000$/1yrs
Julian Lutz (R)	0	C/LW/RW	100.00	66	70	90	63	70	53	75	50	43	46	48	51	45	34	34	59	75	59	21	725,000$/1yrs
Nicholas Moldenhauer (R)	0	C/RW	100.00	65	63	93	62	62	51	78	49	25	44	47	49	45	34	34	58	75	58	21	475,000$/1yrs
Brendan Brisson (R)	0	LW/RW	100.00	57	54	70	60	72	68	81	60	56	61	58	61	55	59	56	56	75	56	23	925,000$/1yrs
Emil Andrae (R)	0	D	100.00	61	46	79	73	67	66	73	58	41	62	57	73	55	57	57	65	75	65	23	903,333$/2yrs
Arttu Karki (R)	0	D	100.00	65	67	87	64	67	54	70	47	25	38	41	47	39	33	33	55	75	55	20	625,000$/1yrs
Cam Allen (R)	0	D	100.00	65	72	67	65	72	54	61	48	25	39	41	51	39	37	37	55	75	55	20	500,000$/2yrs

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
Denis Kostin	0	98.00	68	84	69	59	68	75	68	68	68	68	61	50	50	62	75	62	30	500,000$/2yrs
Sergei Ivanov	0	100.00	56	76	65	58	56	63	56	56	56	56	49	39	39	52	75	52	21	500,000$/1yrs
Scratches
Arno Tiefensee	0	100.00	55	67	62	69	55	62	55	55	55	55	48	37	37	52	75	52	23	475,000$/1yrs
Carter Hart	0	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	40	26	1,550,000$/5yrs

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	EG	HT	P/20	PSG	PSS
1	John Beecher	Venom (TRA)	C/LW	54	22	44	66	17	18	0	88	192	59	127	11.46%	26	21.56	0	16	16	1	0	1	108	0	2	61.93%	1592	0	0	1.13	0	6
2	Marc Del Gaizo	Venom (TRA)	D	54	13	38	51	29	26	0	84	111	37	74	11.71%	77	21.86	6	9	15	0	1	1	102	0	2	0.00%	0	0	0	0.86	0	0
3	Danila Yurov	Venom (TRA)	C/RW	51	14	33	47	11	14	0	43	153	47	94	9.15%	13	18.57	1	7	8	0	0	0	43	2	0	46.31%	1017	0	0	0.99	2	4
4	Liam Dower-Nilsson	Venom (TRA)	C/LW/RW	54	18	22	40	6	10	0	51	125	31	88	14.40%	10	18.85	4	8	12	0	0	0	75	4	0	40.32%	248	0	0	0.79	1	5
5	Samuel Blais	Venom (TRA)	LW/RW	46	16	22	38	10	10	0	92	131	33	95	12.21%	7	18.04	3	6	9	0	0	0	27	1	3	50.00%	66	1	0	0.92	0	0
6	Adam Ruzicka	Venom (TRA)	C/RW	52	17	17	34	14	23	5	73	107	30	81	15.89%	4	17.65	5	5	10	0	0	0	40	4	0	62.14%	103	0	0	0.74	2	5
7	Zach Metsa	Venom (TRA)	D	54	10	20	30	16	18	0	93	67	19	44	14.93%	58	19.42	3	1	4	0	1	1	64	1	2	0.00%	0	0	0	0.57	0	0
8	Justin Sourdif	Venom (TRA)	C/RW	54	12	18	30	11	14	0	67	102	34	94	11.76%	4	15.86	1	1	2	0	2	2	30	0	1	49.44%	799	0	0	0.70	0	1
9	Blake Lizotte	Venom (TRA)	C/LW	18	15	14	29	15	10	0	23	81	30	55	18.52%	4	18.68	3	1	4	0	1	1	38	6	0	53.33%	30	0	1	1.72	0	1
10	Emil Andrae	Venom (TRA)	D	30	7	19	26	8	14	0	63	60	18	37	11.67%	52	21.16	2	8	10	0	0	0	45	0	0	0.00%	0	0	0	0.82	0	0
11	Lenni Hameenaho	Venom (TRA)	RW	48	8	18	26	11	16	0	48	83	31	81	9.64%	8	16.93	1	0	1	0	0	0	10	2	1	42.86%	56	0	0	0.64	1	2
12	Michael Carcone	Venom (TRA)	C/LW/RW	21	10	14	24	19	8	0	21	86	10	45	11.63%	2	15.96	1	3	4	0	0	0	28	2	0	53.33%	45	1	0	1.43	0	1
13	Semyon Chistyakov	Venom (TRA)	D	39	6	14	20	-4	14	0	59	60	26	48	10.00%	44	22.12	3	6	9	0	0	0	69	0	1	0.00%	0	0	0	0.46	0	0
14	Sasha Pastujov	Venom (TRA)	LW/RW	50	9	11	20	-2	9	5	48	102	30	66	8.82%	7	13.64	0	0	0	0	0	0	9	1	1	51.79%	56	0	0	0.59	0	0
15	Bogdan Konyushkov	Venom (TRA)	D	45	4	14	18	14	20	0	66	31	11	27	12.90%	63	18.16	1	0	1	0	0	0	56	1	0	0.00%	0	0	0	0.44	0	0
16	Ayrton Martino	Venom (TRA)	LW	49	9	6	15	2	8	0	31	40	12	39	22.50%	13	10.04	1	0	1	2	0	2	15	3	0	34.69%	49	0	0	0.61	0	0
17	Jeremie Poirier	Venom (TRA)	D	23	3	11	14	15	14	0	48	16	5	9	18.75%	23	18.29	0	1	1	0	0	0	17	2	0	0.00%	0	0	0	0.67	0	0
18	Nikita Chibrikov	Venom (TRA)	LW/RW	37	6	8	14	6	4	0	21	51	14	32	11.76%	2	12.13	0	0	0	0	0	0	4	2	1	28.13%	32	0	0	0.62	0	0
19	Seamus Casey	Venom (TRA)	D	18	3	9	12	1	4	0	21	25	7	14	12.00%	20	16.74	0	0	0	0	0	0	14	0	0	0.00%	0	0	0	0.80	0	0
20	Caedan Bankier	Venom (TRA)	C	31	4	6	10	2	8	0	28	25	8	24	16.00%	1	10.79	0	0	0	0	0	0	2	1	0	46.91%	405	0	0	0.60	0	0
21	Andrew Cristall	Venom (TRA)	LW	43	2	4	6	-7	6	0	29	40	14	39	5.00%	9	9.29	0	0	0	0	0	0	1	0	0	37.84%	74	0	0	0.30	0	0
22	Alexis Gendron	Venom (TRA)	C/RW	27	1	1	2	-11	4	0	19	35	11	22	2.86%	3	10.66	0	0	0	0	0	0	0	0	0	51.04%	96	0	0	0.14	0	0
23	Dyllan Gill	Venom (TRA)	D	9	1	1	2	2	0	0	6	6	3	3	16.67%	3	11.22	0	0	0	0	0	0	6	0	0	0.00%	0	0	0	0.40	0	0
24	Jimmy Vesey	Venom (TRA)	LW	16	0	2	2	0	0	0	2	4	0	6	0.00%	1	2.71	0	0	0	0	0	0	0	0	0	16.67%	12	0	0	0.92	0	0
25	Brendan Brisson	Venom (TRA)	LW/RW	7	0	1	1	-4	4	0	6	10	4	3	0.00%	0	9.40	0	0	0	0	0	0	4	0	0	60.00%	5	0	0	0.30	0	0
26	Kenny Connors	Venom (TRA)	C	11	0	0	0	-1	0	0	2	2	0	1	0.00%	0	2.35	0	0	0	0	0	0	0	0	0	85.71%	7	0	0	0.00	0	0
Team Total or Average			941	210	367	577	180	276	10	1132	1745	524	1248	12.03%	454	16.33	35	72	107	1356	3	5	8	816	32	14	52.13%	4692	2	1	0.75	6	25

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	S3
1	Denis Kostin	Venom (TRA)	41	26	12	3	0.901	3.03	2440	4	1	123	1247	0	1	1	0.737	19	41	9	4	0
2	Sergei Ivanov	Venom (TRA)	6	5	0	0	0.895	2.94	327	0	0	16	152	0	0	0	0.000	0	5	8	1	0
3	Arno Tiefensee	Venom (TRA)	1	1	0	0	0.909	2.50	24	0	0	1	11	0	0	0	1.000	5	0	14	0	0
Team Total or Average		48	32	12	3	0.901	3.01	2792	4	1	140	1410	0	1	1	0.792	24	46	31	5	0

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22	2022-23
Adam Ruzicka	C/RW	26	450,000$	450,000$	RFA
Alexis Gendron	C/RW	21	475,000$	475,000$
Andrew Cristall	LW	20	725,000$	725,000$	725,000$
Arno Tiefensee	G	23	475,000$	475,000$
Arttu Karki	D	20	625,000$	625,000$
Ayrton Martino	LW	22	450,000$	450,000$
Blake Lizotte	C/LW	27	925,000$	925,000$	925,000$	RFA
Bogdan Konyushkov	D	22	550,000$	550,000$	550,000$
Brendan Brisson	LW/RW	23	925,000$	925,000$	RFA
Caedan Bankier	C	22	867,500$	867,500$	867,500$
Cam Allen	D	20	500,000$	500,000$	500,000$
Carter Hart	G	26	1,550,000$	1,550,000$	1,550,000$	1,550,000$	1,550,000$	1,550,000$	RFA
Danila Yurov	C/RW	21	875,000$	875,000$
Denis Kostin	G	30	500,000$	500,000$	500,000$	RFA
Dyllan Gill	D	21	475,000$	475,000$
Emil Andrae	D	23	903,333$	903,333$	903,333$
Jeremie Poirier	D	23	823,333$	823,333$
Jimmy Vesey	LW	32	1,500,000$	1,500,000$	RFA
John Beecher	C/LW	24	925,000$	925,000$	RFA
Julian Lutz	C/LW/RW	21	725,000$	725,000$
Justin Sourdif	C/RW	23	847,500$	847,500$
Kenny Connors	C	22	500,000$	500,000$
Lenni Hameenaho	RW	20	625,000$	625,000$	625,000$
Liam Dower-Nilsson	C/LW/RW	22	450,000$	450,000$
Marc Del Gaizo	D	25	775,000$	775,000$	RFA
Michael Carcone	C/LW/RW	29	1,400,000$	1,400,000$	1,400,000$	RFA
Nicholas Moldenhauer	C/RW	21	475,000$	475,000$
Nikita Chibrikov	LW/RW	22	875,833$	875,833$	875,833$
Samuel Blais	LW/RW	29	450,000$	450,000$	RFA
Sasha Pastujov	LW/RW	21	825,000$	825,000$	825,000$
Seamus Casey	D	21	725,000$	725,000$
Semyon Chistyakov	D	23	550,000$	550,000$	RFA
Sergei Ivanov	G	21	500,000$	500,000$
Zach Metsa	D	26	550,000$	550,000$	RFA

Lines

Forward Lines
# - Blake Lizotte	# - John Beecher	# - Michael Carcone
# - Samuel Blais	# - Liam Dower-Nilsson	# - Adam Ruzicka
# - Nikita Chibrikov	# - Danila Yurov	# - Lenni Hameenaho
# - Ayrton Martino	# - Justin Sourdif	# - John Beecher

Defensive Pairings
# - Semyon Chistyakov	# - Marc Del Gaizo
# - Zach Metsa	# - Bogdan Konyushkov
# - Jeremie Poirier	# - Seamus Casey

1st Power Play Unit
# - Blake Lizotte		# - John Beecher		# - Michael Carcone
# - Semyon Chistyakov			# - Marc Del Gaizo

2nd Power Play Unit
# - Samuel Blais		# - Liam Dower-Nilsson		# - Adam Ruzicka
# - Zach Metsa			# - Bogdan Konyushkov

Goalies
# - Denis Kostin		# - Sergei Ivanov

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	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	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	HK	5	3	1	1	0	0	0	5.60	3.00	2.60	8	0.800	5.6	10.0	15.6	0	0	76	77	63	10	36.4	562	604	640	40	30.2	12.4	4.80	22.0	2.80	0.40	14.29%	2.20	1.00	54.55%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	263.40	179.40	244.80	81.60	147.80	75.40	72.2%	15.4%	90.1%	105.5	FUN
2	Ninjas	2	1	0	0	1	0	0	4.00	3.50	0.50	3	0.750	4.0	7.0	11.0	0	0	76	77	63	10	37.0	562	604	640	40	28.5	10.5	6.00	23.0	4.00	1.00	25.00%	2.50	0.00	100.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	658.50	448.50	612.00	204.00	369.50	188.50	46.2%	10.8%	87.7%	98.5	FUN
3	Junior Wolves	1	1	0	0	0	0	0	5.00	1.00	4.00	2	1.000	5.0	9.0	14.0	0	0	76	77	63	10	24.0	562	604	640	40	41.0	8.0	8.00	29.0	3.00	1.00	33.33%	4.00	0.00	100.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	1,317.00	897.00	1,224.00	408.00	739.00	377.00	80.0%	20.8%	97.6%	118.4	LUCKY
4	Bulldogs	2	0	2	0	0	0	0	1.50	4.50	-3.00	0	0.000	1.5	3.0	4.5	0	0	76	77	63	10	27.5	562	604	640	40	23.5	5.5	5.00	17.0	4.00	0.50	12.50%	2.50	1.00	60.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	658.50	448.50	612.00	204.00	369.50	188.50	22.2%	5.5%	80.9%	86.3	Unlucky
5	Shockers	1	0	1	0	0	0	0	2.00	3.00	-1.00	0	0.000	2.0	4.0	6.0	0	0	76	77	63	10	25.0	562	604	640	40	33.0	12.0	4.00	19.0	4.00	0.00	0.00%	2.00	1.00	50.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	1,317.00	897.00	1,224.00	408.00	739.00	377.00	50.0%	8.0%	90.9%	98.9	Unlucky
6	Gargoyles	1	0	0	0	0	0	1	3.00	4.00	-1.00	1	0.500	3.0	5.0	8.0	0	0	76	77	63	10	45.0	562	604	640	40	31.0	15.0	0.00	28.0	2.00	0.00	0.00%	0.00	0.00	0.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	1,317.00	897.00	1,224.00	408.00	739.00	377.00	42.9%	6.7%	87.1%	93.8	Unlucky
7	Sailors	5	3	1	1	0	0	0	4.00	2.40	1.60	8	0.800	4.0	6.8	10.8	0	0	76	77	63	10	28.2	562	604	640	40	28.6	9.0	5.60	21.2	2.00	0.60	30.00%	2.80	0.60	78.57%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	263.40	179.40	244.80	81.60	147.80	75.40	65.4%	14.2%	91.6%	105.8	LUCKY
8	Devils	1	1	0	0	0	0	0	3.00	1.00	2.00	2	1.000	3.0	4.0	7.0	0	0	76	77	63	10	29.0	562	604	640	40	35.0	4.0	6.00	23.0	3.00	1.00	33.33%	3.00	0.00	100.00%	1	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	1,317.00	897.00	1,224.00	408.00	739.00	377.00	66.7%	10.3%	97.1%	107.5	LUCKY
9	Eagles	3	2	0	1	0	0	0	3.67	1.67	2.00	6	1.000	3.7	5.7	9.3	0	0	76	77	63	10	30.0	562	604	640	40	31.7	9.3	8.33	22.0	1.67	0.67	40.00%	1.67	0.33	80.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	439.00	299.00	408.00	136.00	246.33	125.67	69.2%	12.2%	94.7%	107.0	LUCKY
10	Ravens	2	1	1	0	0	0	0	3.00	2.00	1.00	2	0.500	3.0	6.0	9.0	0	0	76	77	63	10	32.0	562	604	640	40	30.5	5.0	6.00	22.0	4.00	0.50	12.50%	3.00	0.50	83.33%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	658.50	448.50	612.00	204.00	369.50	188.50	62.5%	9.4%	93.4%	102.8	LUCKY
11	Indians	1	1	0	0	0	0	0	4.00	2.00	2.00	2	1.000	4.0	7.0	11.0	0	0	76	77	63	10	39.0	562	604	640	40	34.0	8.0	4.00	24.0	4.00	0.00	0.00%	2.00	0.00	100.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	1,317.00	897.00	1,224.00	408.00	739.00	377.00	66.7%	10.3%	94.1%	104.4	LUCKY
12	Squirrels	5	4	0	0	0	1	0	5.40	3.40	2.00	10	1.000	5.4	9.4	14.8	0	0	76	77	63	10	40.6	562	604	640	40	33.0	10.6	5.00	26.4	3.40	1.00	29.41%	1.80	0.40	77.78%	1	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	263.40	179.40	244.80	81.60	147.80	75.40	59.5%	13.3%	89.7%	103.0	FUN
13	Blades	2	1	1	0	0	0	0	3.50	3.00	0.50	2	0.500	3.5	7.0	10.5	0	0	76	77	63	10	25.0	562	604	640	40	34.0	9.5	2.00	22.5	3.50	2.00	57.14%	1.00	0.00	100.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	658.50	448.50	612.00	204.00	369.50	188.50	33.3%	14.0%	91.2%	105.2	LUCKY
14	Sharknado	1	0	1	0	0	0	0	2.00	6.00	-4.00	0	0.000	2.0	4.0	6.0	0	0	76	77	63	10	27.0	562	604	640	40	37.0	9.0	10.00	18.0	3.00	1.00	33.33%	4.00	1.00	75.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	1,317.00	897.00	1,224.00	408.00	739.00	377.00	16.7%	7.4%	83.8%	91.2	Unlucky
15	Barking Spiders	2	1	0	0	0	1	0	4.50	3.00	1.50	4	1.000	4.5	7.5	12.0	0	0	76	77	63	10	40.0	562	604	640	40	33.5	10.0	6.00	16.5	2.50	1.00	40.00%	3.00	0.50	83.33%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	658.50	448.50	612.00	204.00	369.50	188.50	58.3%	11.3%	91.0%	102.3	FUN
16	Space Invaders	2	2	0	0	0	0	0	6.00	4.00	2.00	4	1.000	6.0	10.5	16.5	0	0	76	77	63	10	35.5	562	604	640	40	32.5	11.5	6.00	17.0	3.00	0.00	0.00%	3.00	0.00	100.00%	1	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	658.50	448.50	612.00	204.00	369.50	188.50	60.0%	16.9%	87.7%	104.6	FUN
17	Checkers	2	2	0	0	0	0	0	5.50	2.50	3.00	4	1.000	5.5	9.5	15.0	0	0	76	77	63	10	46.5	562	604	640	40	26.0	5.5	5.00	22.5	5.50	1.00	18.18%	2.50	1.00	60.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	658.50	448.50	612.00	204.00	369.50	188.50	75.0%	11.8%	90.4%	102.2	FUN
18	Vikings	2	1	0	0	0	0	1	5.00	4.50	0.50	3	0.750	5.0	8.5	13.5	0	0	76	77	63	10	31.5	562	604	640	40	30.5	9.5	6.00	24.0	6.00	2.50	41.67%	2.50	0.00	100.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	658.50	448.50	612.00	204.00	369.50	188.50	35.7%	15.9%	85.2%	101.1	FUN
19	Thistles	2	0	0	1	0	1	0	5.50	4.50	1.00	4	1.000	5.5	9.0	14.5	0	0	76	77	63	10	43.0	562	604	640	40	24.5	10.0	1.00	24.0	5.00	1.50	30.00%	0.50	0.50	0.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	658.50	448.50	612.00	204.00	369.50	188.50	50.0%	12.8%	81.6%	94.4	FUN
20	Barracudas	1	1	0	0	0	0	0	5.00	0.00	5.00	2	1.000	5.0	9.0	14.0	0	1	76	77	63	10	36.0	562	604	640	40	25.0	12.0	2.00	10.0	4.00	1.00	25.00%	0.00	0.00	0.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	1,317.00	897.00	1,224.00	408.00	739.00	377.00	100.0%	13.9%	100.0%	113.9	LUCKY
21	Senators	2	1	1	0	0	0	0	4.00	3.00	1.00	2	0.500	4.0	6.0	10.0	0	0	76	77	63	10	35.0	562	604	640	40	26.5	6.5	4.00	29.5	2.50	0.00	0.00%	2.00	0.00	100.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	658.50	448.50	612.00	204.00	369.50	188.50	57.1%	11.4%	88.7%	100.1	FUN
22	Pimps	1	1	0	0	0	0	0	5.00	4.00	1.00	2	1.000	5.0	9.0	14.0	0	0	76	77	63	10	48.0	562	604	640	40	37.0	9.0	6.00	26.0	5.00	1.00	20.00%	2.00	0.00	100.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	1,317.00	897.00	1,224.00	408.00	739.00	377.00	50.0%	10.4%	89.2%	99.6	FUN
23	Wolf Pack	5	2	2	0	0	0	1	2.80	3.00	-0.20	5	0.500	2.8	5.0	7.8	0	0	76	77	63	10	27.6	562	604	640	40	32.2	9.8	8.00	16.0	2.40	0.60	25.00%	3.40	0.20	94.12%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	263.40	179.40	244.80	81.60	147.80	75.40	44.0%	10.1%	90.7%	100.8	FUN
24	Assassins	1	0	1	0	0	0	0	4.00	6.00	-2.00	0	0.000	4.0	6.0	10.0	0	0	76	77	63	10	26.0	562	604	640	40	31.0	10.0	8.00	25.0	5.00	2.00	40.00%	4.00	2.00	50.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	1,317.00	897.00	1,224.00	408.00	739.00	377.00	33.3%	15.4%	80.6%	96.0	FUN
25	Zolos	1	0	1	0	0	0	0	2.00	3.00	-1.00	0	0.000	2.0	4.0	6.0	0	0	76	77	63	10	32.0	562	604	640	40	25.0	8.0	4.00	19.0	4.00	0.00	0.00%	2.00	0.00	100.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	1,317.00	897.00	1,224.00	408.00	739.00	377.00	40.0%	6.3%	88.0%	94.3	Unlucky
26	Huskies	1	0	1	0	0	0	0	3.00	5.00	-2.00	0	0.000	3.0	5.0	8.0	1	0	76	77	63	10	30.0	562	604	640	40	29.0	9.0	8.00	24.0	1.00	0.00	0.00%	4.00	2.00	50.00%	0	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	1,317.00	897.00	1,224.00	408.00	739.00	377.00	50.0%	10.0%	82.8%	92.8	FUN
	_Vs Division	25	15	4	3	0	1	2	4.40	2.92	1.48	40	0.800	4.4	7.6	12.0	0	0	76	77	63	10	32.7	562	604	640	40	31.0	10.2	6.16	21.7	2.80	0.80	28.57%	2.44	0.48	80.33%	1	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	52.68	35.88	48.96	16.32	29.56	15.08	59.6%	13.5%	90.6%	104.1	FUN
	_Vs Conference	35	19	7	4	0	2	3	4.37	3.17	1.20	53	0.757	4.4	7.6	11.9	0	0	76	77	63	10	34.2	562	604	640	40	30.5	10.1	5.60	21.5	3.14	0.74	23.64%	2.31	0.49	79.01%	2	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	37.63	25.63	34.97	11.66	21.11	10.77	57.5%	12.8%	89.6%	102.4	FUN
	_Since Last GM Reset	54	29	14	4	1	3	3	4.13	3.11	1.02	76	0.704	4.1	7.2	11.3	1	1	76	77	63	10	33.7	562	604	640	40	30.6	9.4	5.48	21.8	3.26	0.78	23.86%	2.37	0.46	80.47%	3	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	24.39	16.61	22.67	7.56	13.69	6.98	55.9%	12.2%	89.8%	102.1	FUN
	Total	54	29	14	4	1	3	3	4.13	3.11	1.02	76	0.704	4.1	7.2	11.3	1	1	76	77	63	10	33.7	562	604	640	40	30.6	9.4	5.48	21.8	3.26	0.78	23.86%	2.37	0.46	80.47%	3	982	1889	51.99%	968	1821	53.16%	496	946	52.43%	24.39	16.61	22.67	7.56	13.69	6.98	55.9%	12.2%	89.8%	102.1	FUN

	Puck Time
Offensive Zone	24
Neutral Zone	13
Defensive Zone	22

	Puck Time
Offensive Zone Start	1889
Neutral Zone Start	946
Defensive Zone Start	1821

	Puck Time
With Puck	31
Without Puck	29

	Faceoffs
Faceoffs Won	2446
Faceoffs Lost	2210

	Team Average Shots after	League Average Shots after
1st Period	10.4	9.57
2nd Period	21.6	20.31
3rd Period	33.4	30.68
Overtime	34.2	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.4	0.64
2nd Period	2.8	1.65
3rd Period	4.0	2.67
Overtime	4.2	2.83


Even Strenght Goal	177
PP Goal	42
PK Goal	3
Empty Net Goal	1

	Home	Away
Win	17	19
Lost	6	8
Overtime Lost	3	1


PP Attempt	176
PP Goal	42
PK Attempt	128
PK Goal Against	25

	Home
Shots For	33.7
Shots Against	30.6
Goals For	4.1
Goals Against	3.1
Hits	21.8
Shots Blocked	9.4
Pim	5.5

Schedule

Date	Matchup			Result	Detail
1	SAI	@	VEN	SAI3,VEN2	RECAP
4	VEN	@	BKS	VEN5,BKS4 (SO)	RECAP
5	VEN	@	RAV	VEN1,RAV2	RECAP
9	VEN	@	DEV	VEN3,DEV1	RECAP
13	ASS	@	VEN	ASS6,VEN4	RECAP
16	VEN	@	EAG	VEN5,EAG2	RECAP
18	SHA	@	VEN	SHA6,VEN2	RECAP
20	VEN	@	SAI	VEN4,SAI3 (OT)	RECAP
24	VEN	@	EAG	VEN3,EAG1	RECAP
25	WPK	@	VEN	WPK2,VEN5	RECAP
28	SAI	@	VEN	SAI2,VEN5	RECAP
30	VEN	@	WPK	VEN1,WPK4	RECAP
32	VEN	@	SQU	VEN4,SQU3	RECAP
34	WPK	@	VEN	WPK4,VEN3 (SO)	RECAP
36	EAG	@	VEN	EAG2,VEN3 (OT)	RECAP
37	SQU	@	VEN	SQU2,VEN4	RECAP
40	VIK	@	VEN	VIK4,VEN3 (SO)	RECAP
41	VEN	@	SQU	VEN6,SQU5 (SO)	RECAP
43	NIN	@	VEN	NIN5,VEN4 (OT)	RECAP
45	SEN	@	VEN	SEN2,VEN5	RECAP
47	BKS	@	VEN	BKS2,VEN4	RECAP
49	RAV	@	VEN	RAV2,VEN5	RECAP
51	THI	@	VEN	THI5,VEN6 (OT)	RECAP
53	BAR	@	VEN	BAR0,VEN5	RECAP
55	VEN	@	SAI	VEN4,SAI2	RECAP
57	PIM	@	VEN	PIM4,VEN5	RECAP
59	BLA	@	VEN	BLA4,VEN2	RECAP
62	VEN	@	CAN	VEN3,CAN5	RECAP
65	VEN	@	NIN	VEN4,NIN2	RECAP
68	VEN	@	ZOL	VEN2,ZOL3	RECAP
70	VEN	@	BUL	VEN2,BUL5	RECAP
72	VEN	@	BLA	VEN5,BLA2	RECAP
75	VEN	@	GRG	VEN3,GRG4 (SO)	RECAP
78	SAI	@	VEN	SAI2,VEN5	RECAP
80	IND	@	VEN	IND2,VEN4	RECAP
84	VEN	@	THI	VEN5,THI4 (SO)	RECAP
85	VEN	@	CHE	VEN6,CHE4	RECAP
88	VEN	@	SEN	VEN3,SEN4	RECAP
89	VEN	@	SPA	VEN8,SPA6	RECAP
92	VEN	@	WPK	VEN2,WPK4	RECAP
93	VEN	@	SQU	VEN5,SQU4	RECAP
95	CHE	@	VEN	CHE1,VEN5	RECAP
96	SQU	@	VEN	SQU3,VEN8	RECAP
98	VEN	@	OHK	VEN2,OHK3	RECAP
101	SHO	@	VEN	SHO3,VEN2	RECAP
103	BUL	@	VEN	BUL4,VEN1	RECAP
105	OHK	@	VEN	OHK1,VEN7	RECAP
110	VEN	@	OHK	VEN9,OHK4	RECAP
112	VEN	@	WPK	VEN3,WPK1	RECAP
113	OHK	@	VEN	OHK2,VEN4	RECAP
115	VEN	@	OHK	VEN6,OHK5 (OT)	RECAP
118	VEN	@	VIK	VEN7,VIK5	RECAP
121	SPA	@	VEN	SPA2,VEN4	RECAP
125	VEN	@	JWO	VEN5,JWO1	RECAP
130	VEN	@	KAN
132	VEN	@	PIM
135	SHA	@	VEN
138	VEN	@	VIK
141	OHK	@	VEN
143	ZOL	@	VEN
145	JWO	@	VEN
146	CAN	@	VEN
149	DEV	@	VEN
154	VEN	@	BAR
155	VEN	@	CHE
157	VEN	@	SHO
159	VEN	@	SHA
162	VIK	@	VEN
164	EAG	@	VEN
Trade Deadline --- Trades can�t be done after this day is simulated!
165	KAN	@	VEN
168	SQU	@	VEN
171	VEN	@	THI
174	VEN	@	GRG
177	VEN	@	ASS
179	VEN	@	IND
182	VEN	@	VIK
185	CHE	@	VEN
186	VEN	@	EAG
189	SHO	@	VEN
191	ZOL	@	VEN
192	SPA	@	VEN
194	GRG	@	VEN

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,269,249$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	42353	21252
Attendance PCT	81.45%	81.74%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
15	2446 - 81.54%	69,274$	1,801,135$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,269,249$	2,269,249$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,361,230$	11,697$	1,342,856$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,039,116$	69	11,697$	807,093$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
807,093$	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

Space Invaders19-29-5, 43pts

24Final

Venom36-14-4, 76pts

51Final

Junior Wolves28-24-4, 60pts

Venom36-14-4, 76pts

Tue, Apr 14

Junior Wolves28-24-4, 60pts

Venom36-14-4, 76pts

Sun, Dec 14

Barking Spiders20-30-6, 46pts

Venom36-14-4, 76pts

Mon, Dec 15

Ravens31-17-7, 69pts

TRANSACTIONS

Team Info


	Head Coach
	Division	Salming
	City	Vienna
	Stadium Capacity	3,000

Venom Affiliation


	General Manager	Joeri Loonen
	Head Coach
	Stadium
	Capacity	18,000

Team Leaders

GOALS John Beecher Venom	22 GOALS
POINTS John Beecher Venom	66 POINTS
WINS Denis Kostin Venom	26 WINS
Expanded Player Leaderboard

Team Stats

Goals For 223 4.13 GFG	Goals Against 168 3.11 GAA
Power Play Percentage 23.9% 42 GF	Penalty Kill Percentage 80.5% 25 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain