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
Maxim Shabanov (R)	0	C/RW	99.00	64	62	89	68	62	60	86	63	59	61	62	59	60	45	45	68	75	68	24	450,000$/1yrs
Danil Aimurzin (R)	0	C	100.00	65	65	92	66	65	58	86	64	76	61	64	54	60	41	41	68	75	68	23	450,000$/2yrs
Nathan Bastian	0	C/RW	100.00	83	65	87	68	78	52	71	59	55	62	62	76	54	62	58	68	75	68	27	675,000$/1yrs
Alexander Pashin (R)	34	RW	100.00	65	63	89	66	63	58	85	62	59	60	60	54	57	42	42	66	75	66	22	450,000$/1yrs
Arseni Gritsyuk (R)	0	RW	100.00	66	69	89	66	68	56	75	63	68	59	63	65	60	40	40	66	75	66	24	650,000$/3yrs
Trey Fix-Wolansky (R)	0	RW	100.00	64	67	72	66	67	58	78	62	64	58	62	49	59	43	43	65	75	65	26	775,000$/1yrs
Aiden Fink (R)	0	RW	100.00	64	61	88	64	61	56	80	59	41	54	60	55	57	31	31	64	75	64	20	625,000$/2yrs
Cedrick Guindon (R)	0	C/LW	100.00	65	64	91	64	64	54	87	54	34	48	56	56	52	37	37	63	75	63	21	500,000$/1yrs
T.J. Hughes (R)	0	C/LW/RW	100.00	65	65	90	63	65	54	82	56	36	48	58	50	55	32	32	62	75	62	23	450,000$/3yrs
Bennett Schimek (R)	0	C/LW/RW	100.00	66	67	93	63	67	54	78	56	41	48	58	50	55	35	35	62	75	62	22	450,000$/2yrs
J.J. Wiebusch (R)	0	C/LW/RW	100.00	65	64	89	64	64	54	85	55	30	46	57	55	54	33	33	62	75	62	21	450,000$/2yrs
Nick Blankenburg	0	D	100.00	61	43	83	77	63	71	78	60	41	65	60	83	55	60	59	73	75	73	27	775,000$/2yrs
Urho Vaakanainen	0	D	100.00	60	40	85	67	77	65	62	61	40	69	58	86	54	59	58	71	75	71	26	1,100,000$/1yrs
Noah Juulsen	0	D	100.00	70	67	84	66	75	65	42	52	40	58	55	84	54	59	58	65	75	65	28	550,000$/1yrs
Simon Forsmark (R)	0	D	100.00	65	73	87	65	74	57	87	52	25	46	42	69	40	35	35	64	75	64	21	625,000$/1yrs
Boston Buckberger (R)	0	D	100.00	65	66	83	64	66	55	86	49	25	42	42	65	40	33	33	62	75	62	22	450,000$/2yrs
Jonathan Aspirot (R)	0	LWD	100.00	66	71	81	63	71	54	84	55	64	54	52	52	49	41	41	62	75	62	26	450,000$/3yrs
Scratches
Tommy Novak	0	C	95.68	57	40	93	77	67	58	65	66	67	60	60	66	61	60	58	65	75	65	28	650,000$/2yrs
Luke Haymes (R)	0	C/LW	100.00	66	68	88	63	68	55	66	58	45	49	59	49	56	32	32	61	75	61	21	450,000$/2yrs
Anthony Romani (R)	0	C/RW	100.00	66	68	93	63	68	53	73	55	41	47	58	48	55	39	39	61	75	61	19	475,000$/2yrs
Dylan Hryckowian (R)	0	RW	100.00	64	62	83	63	62	56	78	56	32	49	58	49	55	33	33	61	75	61	21	450,000$/2yrs
Ethen Frank (R)	0	C/RW	100.00	64	50	80	70	68	59	66	61	54	60	65	65	57	61	59	60	75	60	27	775,000$/2yrs
Luca Del Bel Belluz (R)	0	C	100.00	56	57	76	67	69	67	85	67	71	65	66	67	58	56	55	60	75	60	21	725,000$/1yrs
Ben Meyers (R)	0	C/LW	100.00	56	61	70	61	70	67	76	65	57	63	63	65	55	64	59	57	75	57	26	775,000$/1yrs
Joshua Roy (R)	0	C/LW/RW	100.00	58	54	75	61	70	63	68	61	55	60	64	64	60	56	55	57	75	57	21	835,000$/2yrs
Damir Zhafyarov	0	LW/RW	100.00	64	62	88	62	62	51	57	49	25	45	47	45	45	50	50	55	75	55	31	650,000$/1yrs
Atro Leppanen (R)	0	D	100.00	65	65	82	69	65	58	86	55	25	46	50	55	47	38	38	62	75	62	26	450,000$/1yrs
Arseni Koromyslov (R)	0	D	100.00	65	70	84	64	70	54	75	48	25	38	41	71	39	41	41	59	75	59	21	550,000$/1yrs
Lukas Cormier (R)	0	D	100.00	65	66	81	66	65	55	65	51	25	44	41	47	39	39	39	56	75	56	23	793,333$/1yrs
Ty Hanson (R)	0	D	100.00	65	62	84	65	62	53	82	47	25	37	41	44	39	34	34	56	75	56	20	450,000$/2yrs
Ben Dexheimer (R)	0	D	100.00	65	63	86	65	62	57	81	47	25	37	41	40	39	34	34	55	75	55	23	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
Brandon Bussi	0	99.00	58	71	63	69	58	65	58	58	58	58	51	40	40	54	75	54	27	775,000$/1yrs
Devin Cooley	0	100.00	53	58	68	70	53	60	53	53	53	53	46	37	37	52	75	52	28	450,000$/5yrs
Scratches
Cayden Primeau	0	83.04	69	50	66	72	73	66	67	65	68	67	70	64	57	62	75	62	25	890,000$/1yrs
Filip Larsson	0	100.00	55	64	60	62	55	62	55	55	55	55	48	36	36	52	75	52	26	450,000$/1yrs
Simon Zajicek	0	100.00	55	67	62	62	55	62	55	55	55	55	48	34	34	52	75	52	24	450,000$/1yrs
Cooper Black	0	100.00	51	62	60	78	51	58	51	51	51	51	44	32	32	50	75	50	24	650,000$/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	EG	HT	P/20	PSG	PSS
1	Danil Aimurzin	Sailors (HEL)	C	71	31	35	66	3	18	0	50	254	67	136	12.20%	15	19.76	7	6	13	0	2	2	77	5	0	57.56%	1706	0	1	0.94	1	4
2	Nathan Bastian	Sailors (HEL)	C/RW	71	26	39	65	-8	70	0	205	273	88	197	9.52%	32	18.39	9	7	16	1	0	1	101	1	1	53.16%	395	0	1	1.00	1	2
3	Nick Blankenburg	Sailors (HEL)	D	57	15	49	64	-16	28	0	91	150	34	105	10.00%	95	23.75	4	13	17	1	1	2	129	1	1	0.00%	0	0	0	0.95	0	0
4	Maxim Shabanov	Sailors (HEL)	C/RW	70	32	28	60	11	26	0	93	220	60	156	14.55%	8	20.47	2	10	12	1	0	1	105	5	1	47.26%	603	0	0	0.84	1	3
5	Tommy Novak	Sailors (HEL)	C	70	34	20	54	-1	12	0	32	230	65	165	14.78%	16	15.52	1	1	2	0	0	0	58	3	0	51.85%	1134	1	2	0.99	0	0
6	Noah Juulsen	Sailors (HEL)	D	51	10	42	52	4	26	0	79	106	27	71	9.43%	74	22.10	4	6	10	0	0	0	87	1	1	0.00%	0	0	0	0.92	0	0
7	Arseni Gritsyuk	Sailors (HEL)	RW	65	23	22	45	18	29	5	107	214	82	160	10.75%	14	16.72	1	0	1	0	0	0	33	1	0	54.65%	86	0	1	0.83	0	0
8	Simon Forsmark	Sailors (HEL)	D	68	5	33	38	17	26	0	85	67	22	49	7.46%	81	19.83	2	5	7	0	1	1	122	0	0	0.00%	0	0	0	0.56	0	0
9	Alexander Pashin	Sailors (HEL)	RW	71	6	27	33	-14	8	0	86	112	36	80	5.36%	21	14.92	0	4	4	0	0	0	11	1	0	43.01%	93	0	0	0.62	0	0
10	Atro Leppanen	Sailors (HEL)	D	62	6	20	26	11	32	0	93	46	17	46	13.04%	45	18.67	1	2	3	0	0	0	84	0	0	0.00%	0	0	0	0.45	0	0
11	Boston Buckberger	Sailors (HEL)	D	62	5	20	25	4	38	0	89	75	21	41	6.67%	79	18.19	0	6	6	0	0	0	82	0	0	0.00%	0	0	0	0.44	0	0
12	Cedrick Guindon	Sailors (HEL)	C/LW	71	12	10	22	6	19	5	68	69	27	60	17.39%	7	15.16	3	1	4	0	1	1	77	2	0	27.67%	159	0	0	0.41	0	0
13	Trey Fix-Wolansky	Sailors (HEL)	RW	71	6	15	21	1	17	5	75	82	15	47	7.32%	6	10.74	0	0	0	0	0	0	27	1	0	53.36%	268	0	0	0.55	1	1
14	Jonathan Aspirot	Sailors (HEL)	LW/D	57	2	14	16	9	30	0	82	37	8	18	5.41%	32	14.36	0	0	0	0	0	0	38	0	1	55.56%	9	0	0	0.39	0	0
15	Bennett Schimek	Sailors (HEL)	C/LW/RW	59	6	8	14	6	15	5	39	58	27	43	10.34%	5	15.04	0	2	2	0	0	0	15	2	0	38.60%	114	0	0	0.32	0	0
16	T.J. Hughes	Sailors (HEL)	C/LW/RW	43	2	9	11	7	6	0	33	27	19	29	7.41%	1	12.04	0	2	2	0	0	0	2	1	0	54.29%	35	0	0	0.42	0	0
17	J.J. Wiebusch	Sailors (HEL)	C/LW/RW	50	3	6	9	-16	6	0	46	48	17	37	6.25%	5	12.04	0	0	0	0	0	0	0	1	0	29.32%	133	0	0	0.30	0	1
18	Urho Vaakanainen	Sailors (HEL)	D	8	1	4	5	-1	2	0	6	14	6	12	7.14%	12	19.84	1	1	2	0	0	0	15	0	0	0.00%	0	0	0	0.63	0	0
19	Aiden Fink	Sailors (HEL)	RW	58	0	3	3	-4	0	0	9	16	8	11	0.00%	0	3.32	0	0	0	0	0	0	2	0	0	35.90%	39	0	0	0.31	0	0
20	Luke Haymes	Sailors (HEL)	C/LW	3	1	0	1	0	6	0	7	3	3	0	33.33%	0	10.47	0	0	0	0	0	0	0	0	0	33.33%	3	0	0	0.64	0	0
21	Anthony Romani	Sailors (HEL)	C/RW	2	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.42	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0
22	Dylan Hryckowian	Sailors (HEL)	RW	2	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.66	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0
Team Total or Average			1142	226	404	630	37	414	20	1375	2101	649	1463	10.76%	548	16.23	35	66	101	1617	3	5	8	1074	25	5	51.52%	4777	1	5	0.68	4	11

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	Cayden Primeau	Sailors (HEL)	34	19	11	1	0.875	3.64	1911	4	1	116	925	0	2	2	1.000	8	34	4	2	1	0
2	Brandon Bussi	Sailors (HEL)	43	15	15	8	0.873	3.91	2255	2	0	147	1154	0	0	2	0.625	8	36	35	1	1	0
3	Simon Zajicek	Sailors (HEL)	3	0	1	0	0.915	3.24	74	2	0	4	47	0	1	0	0.000	0	0	17	0	0	0
4	Devin Cooley	Sailors (HEL)	1	0	1	0	0.912	6.00	60	0	0	6	68	0	0	0	0.000	0	1	15	0	0	0
Team Total or Average		81	34	28	9	0.876	3.81	4301	8	1	273	2194	0	3	4	0.813	16	71	71	3	2	0

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22	2022-23
Aiden Fink	RW	20	625,000$	625,000$	625,000$
Alexander Pashin	RW	22	450,000$	450,000$
Anthony Romani	C/RW	19	475,000$	475,000$	475,000$
Arseni Gritsyuk	RW	24	650,000$	650,000$	650,000$	650,000$	RFA
Arseni Koromyslov	D	21	550,000$	550,000$
Atro Leppanen	D	26	450,000$	450,000$	RFA
Ben Dexheimer	D	23	450,000$	450,000$
Ben Meyers	C/LW	26	775,000$	775,000$	RFA
Bennett Schimek	C/LW/RW	22	450,000$	450,000$	450,000$
Boston Buckberger	D	22	450,000$	450,000$	450,000$
Brandon Bussi	G	27	775,000$	775,000$	RFA
Cayden Primeau	G	25	890,000$	890,000$	RFA
Cedrick Guindon	C/LW	21	500,000$	500,000$
Cooper Black	G	24	650,000$	650,000$	650,000$	RFA
Damir Zhafyarov	LW/RW	31	650,000$	650,000$	RFA
Danil Aimurzin	C	23	450,000$	450,000$	450,000$
Devin Cooley	G	28	450,000$	450,000$	450,000$	450,000$	450,000$	450,000$	RFA
Dylan Hryckowian	RW	21	450,000$	450,000$	450,000$
Ethen Frank	C/RW	27	775,000$	775,000$	775,000$	RFA
Filip Larsson	G	26	450,000$	450,000$	RFA
J.J. Wiebusch	C/LW/RW	21	450,000$	450,000$	450,000$
Jonathan Aspirot	LW/D	26	450,000$	450,000$	450,000$	450,000$	RFA
Joshua Roy	C/LW/RW	21	835,000$	835,000$	835,000$
Luca Del Bel Belluz	C	21	725,000$	725,000$
Lukas Cormier	D	23	793,333$	793,333$
Luke Haymes	C/LW	21	450,000$	450,000$	450,000$
Maxim Shabanov	C/RW	24	450,000$	450,000$	RFA
Nathan Bastian	C/RW	27	675,000$	675,000$	RFA
Nick Blankenburg	D	27	775,000$	775,000$	775,000$	RFA
Noah Juulsen	D	28	550,000$	550,000$	RFA
Simon Forsmark	D	21	625,000$	625,000$
Simon Zajicek	G	24	450,000$	450,000$	RFA
T.J. Hughes	C/LW/RW	23	450,000$	450,000$	450,000$	450,000$	RFA
Tommy Novak	C	28	650,000$	650,000$	650,000$	RFA
Trey Fix-Wolansky	RW	26	775,000$	775,000$	RFA
Ty Hanson	D	20	450,000$	450,000$	450,000$
Urho Vaakanainen	D	26	1,100,000$	1,100,000$	RFA

Lines

Forward Lines
# - Cedrick Guindon	# - Alexander Pashin	# - Maxim Shabanov
# - Bennett Schimek	# - Danil Aimurzin	# - Nathan Bastian
# - J.J. Wiebusch	# - Arseni Gritsyuk
# - Maxim Shabanov	# - Nathan Bastian	# - Alexander Pashin

Defensive Pairings
# - Nick Blankenburg	# - Urho Vaakanainen
# - Noah Juulsen	# - Simon Forsmark
# - Boston Buckberger	# - Jonathan Aspirot

1st Power Play Unit
# - Cedrick Guindon		# - Arseni Gritsyuk		# - Maxim Shabanov
# - Nick Blankenburg			# - Urho Vaakanainen

2nd Power Play Unit
# - Bennett Schimek		# - Danil Aimurzin		# - Nathan Bastian
# - Noah Juulsen			# - Simon Forsmark

Goalies
# - Brandon Bussi		# - Devin Cooley

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	0	1	0	0	5.80	5.00	0.80	7	0.700	5.8	9.2	15.0	0	0	100	91	74	7	40.4	764	833	810	56	31.4	10.2	3.20	24.6	5.00	2.00	40.00%	1.60	1.00	37.50%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	351.00	239.80	317.20	105.80	193.00	98.60	48.7%	14.4%	84.1%	98.4	FUN
2	Ninjas	2	2	0	0	0	0	0	4.00	2.50	1.50	4	1.000	4.0	6.5	10.5	0	0	100	91	74	7	38.0	764	833	810	56	28.5	8.0	9.00	21.0	2.50	0.00	0.00%	4.50	0.00	100.00%	1	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	61.5%	10.5%	91.2%	101.8	LUCKY
3	Junior Wolves	2	1	1	0	0	0	0	3.50	5.00	-1.50	2	0.500	3.5	6.0	9.5	0	0	100	91	74	7	29.5	764	833	810	56	28.5	10.0	10.00	15.5	3.50	1.00	28.57%	5.00	2.00	60.00%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	45.5%	11.9%	82.5%	94.3	FUN
4	Bulldogs	2	1	1	0	0	0	0	3.50	3.50	0.00	2	0.500	3.5	7.0	10.5	0	0	100	91	74	7	42.5	764	833	810	56	32.0	6.5	8.00	19.5	5.50	1.00	18.18%	4.00	0.50	87.50%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	45.5%	8.2%	89.1%	97.3	Unlucky
5	Shockers	2	0	2	0	0	0	0	3.00	5.00	-2.00	0	0.000	3.0	6.0	9.0	1	0	100	91	74	7	28.0	764	833	810	56	36.5	6.5	7.00	23.0	2.50	0.00	0.00%	3.50	0.00	100.00%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	37.5%	10.7%	86.3%	97.0	FUN
6	Gargoyles	3	3	0	0	0	0	0	5.00	3.00	2.00	6	1.000	5.0	9.0	14.0	0	0	100	91	74	7	30.3	764	833	810	56	29.7	9.7	7.67	25.0	4.00	0.67	16.67%	3.00	1.33	55.56%	1	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	585.00	399.67	528.67	176.33	321.67	164.33	72.2%	16.5%	89.9%	106.4	FUN
7	Devils	2	0	2	0	0	0	0	2.00	5.50	-3.50	0	0.000	2.0	4.0	6.0	0	0	100	91	74	7	33.5	764	833	810	56	30.0	10.0	7.00	26.5	4.50	0.00	0.00%	3.50	1.00	71.43%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	30.8%	6.0%	81.7%	87.6	Unlucky
8	Eagles	5	1	1	1	1	1	0	3.20	3.60	-0.40	7	0.700	3.2	5.6	8.8	0	0	100	91	74	7	37.0	764	833	810	56	39.0	10.6	5.20	21.0	1.60	0.40	25.00%	2.40	0.60	75.00%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	351.00	239.80	317.20	105.80	193.00	98.60	48.3%	8.6%	90.8%	99.4	Unlucky
9	Ravens	1	0	1	0	0	0	0	0.00	5.00	-5.00	0	0.000	0.0	0.0	0.0	0	0	100	91	74	7	30.0	764	833	810	56	24.0	8.0	8.00	17.0	3.00	0.00	0.00%	4.00	2.00	50.00%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	1,755.00	1,199.00	1,586.00	529.00	965.00	493.00	0.0%	0.0%	79.2%	79.2	Unlucky
10	Venom	5	1	3	0	1	0	0	2.40	4.00	-1.60	3	0.300	2.4	4.2	6.6	1	0	100	91	74	7	28.6	764	833	810	56	28.2	9.6	4.00	20.8	2.80	0.60	21.43%	2.00	0.60	70.00%	1	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	351.00	239.80	317.20	105.80	193.00	98.60	34.6%	8.4%	85.8%	94.2	Unlucky
11	Indians	2	2	0	0	0	0	0	3.50	1.00	2.50	4	1.000	3.5	6.0	9.5	0	1	100	91	74	7	38.0	764	833	810	56	22.5	7.5	4.50	18.5	5.50	1.00	18.18%	1.00	0.00	100.00%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	71.4%	9.2%	95.6%	104.8	LUCKY
12	Squirrels	2	0	2	0	0	0	0	3.00	7.00	-4.00	0	0.000	3.0	4.5	7.5	0	0	100	91	74	7	21.5	764	833	810	56	54.5	12.0	10.00	21.5	3.00	0.50	16.67%	4.50	2.00	55.56%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	33.3%	14.0%	87.2%	101.1	FUN
13	Blades	2	0	2	0	0	0	0	2.00	4.50	-2.50	0	0.000	2.0	4.0	6.0	1	0	100	91	74	7	36.5	764	833	810	56	28.5	11.0	7.00	23.5	2.50	0.50	20.00%	3.00	2.00	33.33%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	37.5%	5.5%	84.2%	89.7	Unlucky
14	Sharknado	3	2	1	0	0	0	0	3.33	2.67	0.67	4	0.667	3.3	6.0	9.3	0	0	100	91	74	7	42.7	764	833	810	56	28.7	11.3	4.00	20.0	3.67	0.33	9.09%	2.00	0.33	83.33%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	585.00	399.67	528.67	176.33	321.67	164.33	56.3%	7.8%	90.7%	98.5	Unlucky
15	Barking Spiders	2	1	1	0	0	0	0	4.00	2.50	1.50	2	0.500	4.0	7.5	11.5	0	0	100	91	74	7	38.0	764	833	810	56	23.5	11.0	5.00	17.5	2.50	0.50	20.00%	2.50	1.00	60.00%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	70.0%	10.5%	89.4%	99.9	FUN
16	Space Invaders	2	1	1	0	0	0	0	3.00	3.50	-0.50	2	0.500	3.0	6.0	9.0	0	0	100	91	74	7	37.5	764	833	810	56	36.0	10.0	11.00	21.5	4.00	0.50	12.50%	5.00	0.50	90.00%	1	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	45.5%	8.0%	90.3%	98.3	Unlucky
17	Checkers	3	3	0	0	0	0	0	5.67	3.00	2.67	6	1.000	5.7	10.0	15.7	0	0	100	91	74	7	41.3	764	833	810	56	23.7	5.7	6.67	22.7	3.67	1.00	27.27%	2.67	1.00	62.50%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	585.00	399.67	528.67	176.33	321.67	164.33	70.0%	13.7%	87.3%	101.0	FUN
18	Vikings	4	1	2	0	1	0	0	4.25	4.75	-0.50	3	0.375	4.3	6.5	10.8	1	0	100	91	74	7	37.3	764	833	810	56	31.0	5.3	8.75	18.8	2.75	0.25	9.09%	3.75	1.25	66.67%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	438.75	299.75	396.50	132.25	241.25	123.25	53.3%	11.4%	84.7%	96.1	FUN
19	Kangaroos	2	1	0	0	1	0	0	4.50	4.00	0.50	3	0.750	4.5	8.0	12.5	0	0	100	91	74	7	22.0	764	833	810	56	29.0	11.5	6.00	18.0	0.50	0.00	0.00%	1.50	0.50	66.67%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	56.3%	20.5%	86.2%	106.7	FUN
20	Thistles	3	2	0	1	0	0	0	6.00	3.00	3.00	6	1.000	6.0	11.3	17.3	0	0	100	91	74	7	40.3	764	833	810	56	30.3	5.3	4.00	18.3	2.67	1.00	37.50%	1.67	0.33	80.00%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	585.00	399.67	528.67	176.33	321.67	164.33	65.2%	14.9%	90.1%	105.0	FUN
21	Barracudas	3	1	0	0	1	1	0	3.67	3.00	0.67	5	0.833	3.7	6.3	10.0	0	0	100	91	74	7	29.7	764	833	810	56	34.0	7.3	6.67	20.3	2.33	1.00	42.86%	3.00	0.67	77.78%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	585.00	399.67	528.67	176.33	321.67	164.33	53.3%	12.4%	91.2%	103.5	LUCKY
22	Senators	2	1	1	0	0	0	0	3.50	2.00	1.50	2	0.500	3.5	6.0	9.5	0	0	100	91	74	7	30.0	764	833	810	56	27.5	10.5	6.00	16.5	3.50	1.00	28.57%	3.00	0.50	83.33%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	62.5%	11.7%	92.7%	104.4	LUCKY
23	Pimps	1	0	0	0	0	1	0	6.00	5.00	1.00	2	1.000	6.0	10.0	16.0	0	0	100	91	74	7	40.0	764	833	810	56	28.0	8.0	4.00	19.0	0.00	0.00	0.00%	2.00	2.00	0.00%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	1,755.00	1,199.00	1,586.00	529.00	965.00	493.00	66.7%	15.0%	82.1%	97.1	FUN
24	Wolf Pack	5	0	3	0	1	0	1	2.80	4.40	-1.60	2	0.200	2.8	4.8	7.6	0	0	100	91	74	7	28.6	764	833	810	56	31.2	9.4	7.20	24.2	2.80	0.20	7.14%	3.40	0.80	76.47%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	351.00	239.80	317.20	105.80	193.00	98.60	41.9%	9.8%	85.9%	95.7	FUN
25	Assassins	2	1	1	0	0	0	0	3.50	5.00	-1.50	2	0.500	3.5	6.0	9.5	0	0	100	91	74	7	34.5	764	833	810	56	29.5	5.5	5.50	24.0	4.00	1.00	25.00%	1.50	1.00	33.33%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	38.5%	10.1%	83.1%	93.2	FUN
26	Zolos	2	0	2	0	0	0	0	4.00	5.50	-1.50	0	0.000	4.0	7.0	11.0	0	0	100	91	74	7	28.0	764	833	810	56	37.5	10.5	7.00	36.5	4.50	1.00	22.22%	3.50	1.00	71.43%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	40.0%	14.3%	85.3%	99.6	FUN
27	Huskies	2	1	0	0	1	0	0	5.50	3.50	2.00	3	0.750	5.5	10.0	15.5	0	0	100	91	74	7	44.0	764	833	810	56	23.0	5.0	6.00	16.5	3.50	0.50	14.29%	3.00	0.50	83.33%	0	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	877.50	599.50	793.00	264.50	482.50	246.50	62.5%	12.5%	84.8%	97.3	FUN
	_Vs Division	26	6	12	1	5	1	1	3.62	4.54	-0.92	22	0.423	3.6	5.9	9.5	2	0	100	91	74	7	33.3	764	833	810	56	33.9	9.4	5.88	22.0	3.00	0.69	23.08%	2.73	0.92	66.20%	1	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	67.50	46.12	61.00	20.35	37.12	18.96	44.7%	10.9%	86.6%	97.5	FUN
	_Vs Conference	44	17	18	2	5	1	1	3.95	4.11	-0.16	46	0.523	4.0	6.8	10.8	3	0	100	91	74	7	34.5	764	833	810	56	32.7	9.0	6.14	22.5	3.23	0.68	21.13%	2.80	0.82	70.73%	3	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	39.89	27.25	36.05	12.02	21.93	11.20	49.8%	11.5%	87.4%	98.9	FUN
	_Since Last GM Reset	71	29	28	2	8	3	1	3.80	3.92	-0.11	77	0.542	3.8	6.6	10.5	4	1	100	91	74	7	34.5	764	833	810	56	31.0	8.8	6.34	21.4	3.21	0.65	20.18%	2.86	0.85	70.44%	4	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	24.72	16.89	22.34	7.45	13.59	6.94	50.7%	11.0%	87.4%	98.4	FUN
	Total	71	29	28	2	8	3	1	3.80	3.92	-0.11	77	0.542	3.8	6.6	10.5	4	1	100	91	74	7	34.5	764	833	810	56	31.0	8.8	6.34	21.4	3.21	0.65	20.18%	2.86	0.85	70.44%	4	1365	2557	53.38%	1187	2264	52.43%	665	1256	52.95%	24.72	16.89	22.34	7.45	13.59	6.94	50.7%	11.0%	87.4%	98.4	FUN

	Puck Time
Offensive Zone	24
Neutral Zone	13
Defensive Zone	22

	Puck Time
Offensive Zone Start	2557
Neutral Zone Start	1256
Defensive Zone Start	2264

	Puck Time
With Puck	31
Without Puck	29

	Faceoffs
Faceoffs Won	3217
Faceoffs Lost	2860

	Team Average Shots after	League Average Shots after
1st Period	10.8	9.57
2nd Period	22.5	20.31
3rd Period	33.9	30.68
Overtime	34.7	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.4	0.64
2nd Period	2.7	1.65
3rd Period	3.7	2.67
Overtime	3.8	2.83


Even Strenght Goal	216
PP Goal	46
PK Goal	4
Empty Net Goal	4

	Home	Away
Win	13	21
Lost	14	14
Overtime Lost	4	5


PP Attempt	228
PP Goal	46
PK Attempt	203
PK Goal Against	60

	Home
Shots For	34.5
Shots Against	31.0
Goals For	3.8
Goals Against	3.9
Hits	21.4
Shots Blocked	8.8
Pim	6.3

Schedule

Date	Matchup			Result	Detail
Sun, Dec 28	SAI	@	VEN	SAI3,VEN2	RECAP
Thu, Jan 1	SAI	@	CAN	SAI3,CAN4 (OT)	RECAP
Fri, Jan 2	SAI	@	PIM	SAI6,PIM5 (SO)	RECAP
Sat, Jan 3 22:02	SAI	@	IND	SAI3,IND2	RECAP
Mon, Jan 5	SAI	@	SEN	SAI2,SEN3	RECAP
Thu, Jan 8	SAI	@	GRG	SAI6,GRG4	RECAP
Sat, Jan 10 22:02	SAI	@	VIK	SAI3,VIK4 (OT)	RECAP
Wed, Jan 14	VEN	@	SAI	VEN4,SAI3 (OT)	RECAP
Fri, Jan 16	SAI	@	EAG	SAI4,EAG5 (OT)	RECAP
Sun, Jan 18 10:02	JWO	@	SAI	JWO6,SAI2	RECAP
Sun, Jan 18 22:02	WPK	@	SAI	WPK5,SAI4 (OT)	RECAP
Tue, Jan 20 22:02	SAI	@	VEN	SAI2,VEN5	RECAP
Thu, Jan 22	SAI	@	EAG	SAI5,EAG4 (OT)	RECAP
Fri, Jan 30	SQU	@	SAI	SQU8,SAI5	RECAP
Mon, Feb 2	SAI	@	WPK	SAI2,WPK3 (SO)	RECAP
Tue, Feb 3	NIN	@	SAI	NIN2,SAI4	RECAP
Wed, Feb 4 22:02	SEN	@	SAI	SEN1,SAI5	RECAP
Tue, Feb 10 06:31	BAR	@	SAI	BAR3,SAI5	RECAP
Wed, Feb 11 08:23	SAI	@	OHK	SAI9,OHK6	RECAP
Thu, Feb 12	WPK	@	SAI	WPK4,SAI3	RECAP
Fri, Feb 13	BKS	@	SAI	BKS4,SAI3	RECAP
Sat, Feb 14 22:02	SAI	@	WPK	SAI2,WPK5	RECAP
Mon, Feb 16	OHK	@	SAI	OHK6,SAI8	RECAP
Wed, Feb 18	VEN	@	SAI	VEN4,SAI2	RECAP
Fri, Feb 20	BLA	@	SAI	BLA5,SAI2	RECAP
Sat, Feb 21	THI	@	SAI	THI5,SAI6 (OT)	RECAP
Fri, Feb 27	SAI	@	ASS	SAI2,ASS6	RECAP
Sun, Mar 1 10:02	SAI	@	SHA	SAI2,SHA1	RECAP
Mon, Mar 2	SAI	@	SPA	SAI2,SPA4	RECAP
Thu, Mar 5	SAI	@	DEV	SAI2,DEV5	RECAP
Sat, Mar 7 10:02	SAI	@	RAV	SAI0,RAV5	RECAP
Mon, Mar 9	SAI	@	VEN	SAI2,VEN5	RECAP
Thu, Mar 12	SAI	@	OHK	SAI5,OHK4	RECAP
Sat, Mar 14 22:02	IND	@	SAI	IND0,SAI4	RECAP
Sun, Mar 15 22:02	VIK	@	SAI	VIK6,SAI5	RECAP
Mon, Mar 16	SAI	@	SQU	SAI1,SQU6	RECAP
Thu, Mar 19	EAG	@	SAI	EAG4,SAI0	RECAP
Sat, Mar 21 10:02	OHK	@	SAI	OHK5,SAI4 (OT)	RECAP
Sun, Mar 22 10:02	SAI	@	EAG	SAI4,EAG3	RECAP
Tue, Mar 24	CHE	@	SAI	CHE4,SAI6	RECAP
Thu, Mar 26	SHO	@	SAI	SHO5,SAI3	RECAP
Fri, Mar 27	BUL	@	SAI	BUL4,SAI3	RECAP
Sun, Mar 29 09:02	SAI	@	NIN	SAI4,NIN3	RECAP
Mon, Mar 30	SAI	@	THI	SAI5,THI1	RECAP
Tue, Mar 31	SAI	@	BAR	SAI4,BAR5 (OT)	RECAP
Fri, Apr 3	SAI	@	CHE	SAI6,CHE2	RECAP
Sun, Apr 5 09:02	SAI	@	ZOL	SAI5,ZOL7	RECAP
Tue, Apr 7 05:11	SAI	@	JWO	SAI5,JWO4	RECAP
Sat, Apr 11 09:02	SPA	@	SAI	SPA3,SAI4	RECAP
Sun, Apr 12 09:02	BAR	@	SAI	BAR1,SAI2 (SO)	RECAP
Mon, Apr 13	WPK	@	SAI	WPK5,SAI3	RECAP
Thu, Apr 16	SAI	@	THI	SAI7,THI3	RECAP
Fri, Apr 17	SAI	@	KAN	SAI6,KAN4	RECAP
Sun, Apr 19 09:02	SAI	@	BLA	SAI2,BLA4	RECAP
Mon, Apr 20	SAI	@	SHA	SAI2,SHA5	RECAP
Tue, Apr 21	SAI	@	CHE	SAI5,CHE3	RECAP
Thu, Apr 23	SAI	@	BKS	SAI5,BKS1	RECAP
Sat, Apr 25 21:02	SHA	@	SAI	SHA2,SAI6	RECAP
Sun, Apr 26 21:02	ZOL	@	SAI	ZOL4,SAI3	RECAP
Fri, May 1	SAI	@	VIK	SAI7,VIK5	RECAP
Sat, May 2 21:02	SAI	@	EAG	SAI3,EAG2 (SO)	RECAP
Sun, May 3 09:03	CAN	@	SAI	CAN3,SAI8	RECAP
Tue, May 5	DEV	@	SAI	DEV6,SAI2	RECAP
Wed, May 6	GRG	@	SAI	GRG4,SAI6	RECAP
Sat, May 9 21:02	SAI	@	BUL	SAI4,BUL3	RECAP
Mon, May 11	SAI	@	GRG	SAI3,GRG1	RECAP
Fri, May 15	SAI	@	SHO	SAI3,SHO5	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Tue, May 19	SAI	@	OHK	SAI3,OHK4	RECAP
Thu, May 21	ASS	@	SAI	ASS4,SAI5	RECAP
Sat, May 23	VIK	@	SAI	VIK4,SAI2	RECAP
Sun, May 24 21:02	KAN	@	SAI	KAN4,SAI3 (OT)	RECAP
Sun, May 24 PM	ZOL	@	SAI
Tue, May 26	PIM	@	SAI
Thu, May 28	SQU	@	SAI
Sat, May 30 AM	VIK	@	SAI
Sun, May 31 AM	SQU	@	SAI
Sun, May 31 PM	RAV	@	SAI
Tue, Jun 2	SAI	@	SQU
Thu, Jun 4	SHO	@	SAI
Sat, Jun 6 AM	SPA	@	SAI
Sun, Jun 7 PM	EAG	@	SAI
Tue, Jun 9	SHA	@	SAI

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,134,333$	0$	0$	75,000,000$

Arena	About us
	Name
	City	St. Pauli
	Capacity	3000
	Season Ticket Holders	10%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	50090	25252
Attendance PCT	80.79%	81.46%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
10	2430 - 81.01%	68,772$	2,131,930$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,134,333$	2,134,333$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,880,290$	10,543$	1,866,789$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
687,719$	21	11,002$	231,042$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
231,042$	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

Vikings33-32-7, 73pts

42Final

Sailors34-28-9, 77pts

Kangaroos34-32-6, 74pts

43Final

Sailors34-28-9, 77pts

Kangaroos34-32-6, 74pts

Mon, Jun 01

Sailors34-28-9, 77pts

Mon, Dec 15

Huskies24-40-10, 58pts

Sailors34-28-9, 77pts

Tue, Dec 16

Pimps44-22-7, 95pts

TRANSACTIONS

Team Info


	Head Coach
	Division	Salming
	City	St. Pauli
	Stadium Capacity	3,000

Sailors Affiliation


	General Manager	Sebastian Horn
	Head Coach
	Stadium	MühlenArena am Dom
	Capacity	18,000

Team Leaders

GOALS Tommy Novak Sailors	34 GOALS
POINTS Danil Aimurzin Sailors	66 POINTS
WINS Cayden Primeau Sailors	19 WINS
Expanded Player Leaderboard

Team Stats

Goals For 270 3.80 GFG	Goals Against 278 3.92 GAA
Power Play Percentage 20.2% 46 GF	Penalty Kill Percentage 70.4% 60 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain