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
Lukas Reichel	73	C/LW/RW	99.00	67	40	89	84	63	54	85	63	64	65	65	67	54	59	58	71	75	71	23	1,200,000$/2yrs
Mark Jankowski	77	C	100.00	68	65	86	68	80	56	72	62	79	61	70	76	54	66	59	69	75	69	30	450,000$/3yrs
Sam Lafferty	0	C/RW	100.00	75	40	82	73	77	50	72	57	78	60	62	71	54	64	59	67	75	67	30	575,000$/1yrs
Rory Kerins (R)	0	C/LW	100.00	66	66	90	66	66	57	80	63	66	60	64	56	61	39	39	67	75	67	23	846,667$/1yrs
David Perron	0	LW/RW	100.00	78	40	87	64	72	59	52	64	54	64	68	67	59	89	68	66	75	66	37	1,000,000$/3yrs
Josh Samanski (R)	0	C/LW	100.00	66	70	85	66	70	56	88	60	70	58	57	50	55	37	37	66	75	66	23	450,000$/4yrs
Jack Finley (R)	0	C/RW	100.00	67	79	82	65	79	57	70	61	85	57	62	61	59	40	40	65	75	65	22	797,500$/1yrs
Prokhor Poltapov (R)	0	LW/RW	100.00	65	64	91	63	64	56	85	60	52	56	60	61	57	42	42	65	75	65	22	625,000$/1yrs
Jaroslav Chmelar (R)	0	LW/RW	100.00	67	77	82	64	78	55	84	54	61	46	57	44	54	33	33	61	75	61	21	867,500$/3yrs
Nathan Pilling (R)	0	C	100.00	66	77	72	63	77	54	76	54	68	46	57	45	53	35	35	61	75	61	21	450,000$/3yrs
Chase Wheatcroft (R)	0	C/LW	100.00	66	70	88	63	70	53	79	52	43	46	53	55	50	39	39	60	75	60	23	862,500$/2yrs
Charle-Edouard D'Astous (R)	0	D	100.00	65	68	69	68	68	58	84	55	25	47	50	79	47	46	46	68	75	68	27	800,000$/1yrs
Ryan Shea	3	D	100.00	59	40	86	74	80	66	47	55	40	61	58	86	54	56	58	67	75	67	28	500,000$/4yrs
Tony DeAngelo	0	D	100.00	57	40	86	80	66	82	79	67	40	60	60	72	58	66	59	67	75	67	29	725,000$/5yrs
Tyler Tucker	0	D	100.00	65	81	77	73	75	61	62	57	41	61	59	76	55	59	58	65	75	65	25	800,000$/1yrs
Marshall Warren (R)	0	D	100.00	65	67	79	64	67	54	79	49	25	41	41	55	39	36	36	58	75	58	24	825,000$/2yrs
Jack Sparkes (R)	0	D	100.00	65	81	62	65	81	56	73	44	25	32	40	53	37	32	32	56	75	56	21	450,000$/1yrs
Scratches
Dominik Bokk (R)	0	LW/RW	90.26	65	68	85	64	68	57	79	60	59	55	62	52	58	38	38	64	75	64	25	600,000$/1yrs
Akil Thomas (R)	0	C/LW/RW	100.00	71	68	93	67	71	50	30	55	60	61	58	70	54	55	58	59	75	59	25	775,000$/2yrs
Zam Plante (R)	0	C	100.00	65	63	92	63	63	52	80	51	31	46	48	48	46	35	35	59	75	59	20	475,000$/1yrs
Jack Hughes 2003 (R)	0	C	100.00	64	63	86	64	63	53	83	50	31	46	48	53	46	33	33	59	75	59	21	450,000$/1yrs
Arshdeep Bains (R)	0	LW/RW	100.00	59	52	75	67	68	63	73	63	56	64	60	66	55	59	57	58	75	58	24	816,667$/1yrs
Tyler Boucher (R)	0	LW/RW	100.00	67	75	80	62	76	54	63	49	55	45	48	53	46	33	33	58	75	58	22	863,334$/2yrs
Alexander Suzdalev (R)	0	C/LW/RW	100.00	66	68	90	63	68	52	65	51	36	45	50	55	48	36	36	58	75	58	21	625,000$/1yrs
Tyson Kozak	0	C/LW	100.00	60	50	79	67	67	58	58	59	72	60	61	67	55	57	57	58	75	58	22	575,000$/5yrs
Chaz Lucius (R)	19	C	100.00	66	68	91	63	68	54	54	53	49	48	50	44	48	32	32	57	75	57	22	450,000$/2yrs
Kevin Bicker (R)	0	LW	100.00	65	65	83	63	66	51	68	49	32	45	47	56	44	31	31	57	75	57	20	475,000$/2yrs
Garrett Brown (R)	0	D	100.00	65	71	79	63	71	52	81	45	25	35	40	59	38	34	34	56	75	56	21	550,000$/1yrs
Norwin Panocha (R)	0	D	100.00	65	70	85	64	70	51	64	44	25	33	40	50	38	34	34	54	75	54	20	450,000$/2yrs
Ben Roger (R)	0	D	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	40	22	450,000$/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
Jet Greaves	0	98.00	76	88	73	60	73	66	74	78	70	69	64	62	56	66	75	66	24	825,000$/3yrs
Matt Murray	0	100.00	56	62	59	74	56	63	56	56	56	56	49	73	73	53	75	53	31	700,000$/3yrs
Scratches
Talyn Boyko	0	100.00	51	76	65	72	51	58	51	51	51	51	44	37	37	50	75	50	22	850,833$/1yrs
Reid Dyck	30	100.00	38	84	69	68	38	45	38	38	38	38	31	36	36	44	75	44	21	450,000$/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	EG	HT	P/20	PSG	PSS
1	David Perron	Eagles (MUS)	LW/RW	75	41	45	86	26	20	0	136	326	95	219	12.58%	21	18.17	3	11	14	1	1	2	98	10	3	50.51%	99	0	1	1.26	0	1
2	Sam Lafferty	Eagles (MUS)	C/RW	71	32	35	67	22	50	0	133	250	77	164	12.80%	27	18.23	7	6	13	0	0	0	160	5	1	55.83%	283	0	0	1.04	2	4
3	Mark Jankowski	Eagles (MUS)	C	45	29	38	67	35	14	0	48	197	48	135	14.72%	18	20.39	5	8	13	0	0	0	128	5	1	60.13%	1229	0	2	1.46	0	1
4	Jack Finley	Eagles (MUS)	C/RW	67	19	40	59	23	18	0	73	165	54	143	11.52%	22	17.26	4	7	11	0	0	0	25	2	1	58.89%	579	0	0	1.02	0	1
5	Tony DeAngelo	Eagles (MUS)	D	46	10	48	58	15	10	0	39	123	39	91	8.13%	54	23.63	4	11	15	0	0	0	109	1	0	0.00%	0	0	0	1.07	0	0
6	Rory Kerins	Eagles (MUS)	C/LW	76	26	29	55	21	16	0	46	160	38	146	16.25%	11	17.16	2	11	13	1	1	2	139	7	0	53.76%	426	1	0	0.84	2	3
7	Prokhor Poltapov	Eagles (MUS)	LW/RW	76	20	35	55	9	8	0	56	208	66	157	9.62%	17	16.03	2	2	4	0	0	0	17	2	0	40.43%	94	0	0	0.90	0	1
8	Charle-Edouard D'Astous	Eagles (MUS)	D	62	11	38	49	25	40	0	151	113	31	92	9.73%	106	22.71	7	10	17	0	0	0	134	2	0	0.00%	0	0	0	0.70	0	1
9	Tyler Tucker	Eagles (MUS)	D	51	12	36	48	11	47	15	98	106	31	75	11.32%	71	20.96	7	8	15	0	1	1	101	0	2	0.00%	0	0	0	0.90	0	0
10	Josh Samanski	Eagles (MUS)	C/LW	56	10	22	32	-4	13	5	61	138	36	81	7.25%	10	16.96	2	2	4	0	0	0	36	0	1	53.33%	990	0	1	0.67	0	1
11	Dominik Bokk	Eagles (MUS)	LW/RW	56	14	12	26	-17	18	0	45	131	39	88	10.69%	11	13.73	0	0	0	0	0	0	21	0	0	43.75%	64	0	0	0.68	1	1
12	Ryan Shea	Eagles (MUS)	D	28	6	18	24	1	0	0	23	52	20	37	11.54%	50	21.92	2	7	9	0	0	0	66	0	1	0.00%	0	0	0	0.78	0	0
13	Lukas Reichel	Eagles (MUS)	C/LW/RW	18	7	14	21	3	8	0	23	56	18	35	12.50%	4	22.47	1	5	6	0	0	0	38	0	1	45.18%	436	0	1	1.04	1	1
14	Akil Thomas	Eagles (MUS)	C/LW/RW	32	11	9	20	14	8	0	27	80	28	35	13.75%	7	11.07	0	0	0	0	0	0	30	3	3	50.00%	108	0	0	1.13	1	1
15	Chase Wheatcroft	Eagles (MUS)	C/LW	65	8	11	19	-6	14	0	52	79	17	52	10.13%	12	10.75	0	1	1	0	0	0	17	0	1	45.15%	742	0	0	0.54	0	0
16	Marshall Warren	Eagles (MUS)	D	76	5	12	17	22	44	0	128	39	11	20	12.82%	77	20.16	3	1	4	0	0	0	136	0	0	0.00%	0	0	0	0.22	0	0
17	Garrett Brown	Eagles (MUS)	D	41	4	11	15	3	26	0	59	29	12	13	13.79%	59	19.03	1	2	3	0	0	0	87	2	0	0.00%	0	0	0	0.38	0	0
18	Zam Plante	Eagles (MUS)	C	67	3	11	14	-2	12	0	25	44	14	23	6.82%	15	9.52	0	0	0	0	0	0	6	0	1	33.52%	543	0	0	0.44	0	1
19	Jaroslav Chmelar	Eagles (MUS)	LW/RW	76	4	4	8	-7	23	5	86	65	20	41	6.15%	23	13.23	0	0	0	0	0	0	25	0	1	58.57%	70	0	0	0.16	0	1
20	Tyler Boucher	Eagles (MUS)	LW/RW	13	1	5	6	4	4	0	12	11	5	12	9.09%	3	9.31	0	0	0	0	0	0	0	0	1	77.78%	9	0	0	0.99	0	0
21	Nathan Pilling	Eagles (MUS)	C	18	3	2	5	3	10	0	27	14	1	4	21.43%	3	8.07	0	0	0	0	0	0	0	2	0	53.21%	156	0	0	0.69	0	0
22	Alexander Suzdalev	Eagles (MUS)	C/LW/RW	24	3	1	4	-13	0	0	20	36	10	21	8.33%	8	11.71	0	0	0	0	0	0	1	0	0	41.67%	24	0	0	0.28	0	0
23	Jack Hughes 2003	Eagles (MUS)	C	40	3	1	4	-5	8	0	13	21	5	13	14.29%	2	6.60	0	0	0	0	0	0	0	1	0	36.13%	191	0	0	0.30	0	0
24	Arshdeep Bains	Eagles (MUS)	LW/RW	3	0	3	3	2	0	0	1	2	3	7	0.00%	2	9.86	0	0	0	0	0	0	2	0	0	100.00%	1	0	0	2.03	0	0
25	Jack Sparkes	Eagles (MUS)	D	43	2	1	3	-4	82	10	118	29	6	15	6.90%	54	17.93	0	0	0	0	0	0	63	0	0	0.00%	1	0	0	0.08	0	0
26	Norwin Panocha	Eagles (MUS)	D	24	0	3	3	-1	14	0	47	9	1	3	0.00%	29	16.62	0	0	0	0	0	0	28	0	0	0.00%	0	0	0	0.15	0	0
27	Tyson Kozak	Eagles (MUS)	C/LW	8	0	3	3	3	2	0	0	12	3	13	0.00%	0	4.62	0	0	0	0	0	0	0	0	0	75.00%	4	0	0	1.62	0	0
28	Ben Roger	Eagles (MUS)	D	18	0	1	1	5	6	0	37	4	0	1	0.00%	15	17.12	0	0	0	0	0	0	25	0	0	0.00%	0	0	0	0.06	0	0
29	Chaz Lucius	Eagles (MUS)	C	5	0	1	1	0	0	0	0	0	0	1	0.00%	0	2.63	0	0	0	0	0	0	2	0	0	33.33%	9	0	0	1.52	0	0
30	Kevin Bicker	Eagles (MUS)	LW	2	0	0	0	0	0	0	0	0	0	1	0.00%	0	1.50	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0
Team Total or Average			1282	284	489	773	188	515	35	1584	2499	728	1738	11.36%	731	16.33	50	92	142	1740	2	3	5	1509	42	18	51.11%	6058	1	5	0.74	7	18

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	Jet Greaves	Eagles (MUS)	73	42	20	8	0.899	3.41	4246	12	2	241	2383	0	3	1	0.647	17	73	2	4	4	3
2	Matt Murray	Eagles (MUS)	9	4	2	0	0.944	2.25	347	0	0	13	231	0	0	1	1.000	2	3	73	0	0	0
Team Total or Average		82	46	22	8	0.903	3.32	4594	12	2	254	2614	0	3	2	0.684	19	76	75	4	4	3

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22	2022-23
Akil Thomas	C/LW/RW	25	775,000$	775,000$	775,000$	RFA
Alexander Suzdalev	C/LW/RW	21	625,000$	625,000$
Arshdeep Bains	LW/RW	24	816,667$	816,667$	RFA
Ben Roger	D	22	450,000$	450,000$
Charle-Edouard D'Astous	D	27	800,000$	800,000$	RFA
Chase Wheatcroft	C/LW	23	862,500$	862,500$	862,500$
Chaz Lucius	C	22	450,000$	450,000$	450,000$
David Perron	LW/RW	37	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Dominik Bokk	LW/RW	25	600,000$	600,000$	RFA
Garrett Brown	D	21	550,000$	550,000$
Jack Finley	C/RW	22	797,500$	797,500$
Jack Hughes 2003	C	21	450,000$	450,000$
Jack Sparkes	D	21	450,000$	450,000$
Jaroslav Chmelar	LW/RW	21	867,500$	867,500$	867,500$	867,500$
Jet Greaves	G	24	825,000$	825,000$	825,000$	825,000$	RFA
Josh Samanski	C/LW	23	450,000$	450,000$	450,000$	450,000$	450,000$
Kevin Bicker	LW	20	475,000$	475,000$	475,000$
Lukas Reichel	C/LW/RW	23	1,200,000$	1,200,000$	1,200,000$
Mark Jankowski	C	30	450,000$	450,000$	450,000$	450,000$	UFA
Marshall Warren	D	24	825,000$	825,000$	825,000$	RFA
Matt Murray	G	31	700,000$	700,000$	700,000$	700,000$	UFA
Nathan Pilling	C	21	450,000$	450,000$	450,000$	450,000$
Norwin Panocha	D	20	450,000$	450,000$	450,000$
Prokhor Poltapov	LW/RW	22	625,000$	625,000$
Reid Dyck	G	21	450,000$	450,000$	450,000$
Rory Kerins	C/LW	23	846,667$	846,667$
Ryan Shea	D	28	500,000$	500,000$	500,000$	500,000$	500,000$	RFA
Sam Lafferty	C/RW	30	575,000$	575,000$	RFA
Talyn Boyko	G	22	850,833$	850,833$
Tony DeAngelo	D	29	725,000$	725,000$	725,000$	725,000$	725,000$	725,000$	UFA
Tyler Boucher	LW/RW	22	863,334$	863,334$	863,334$
Tyler Tucker	D	25	800,000$	800,000$	RFA
Tyson Kozak	C/LW	22	575,000$	575,000$	575,000$	575,000$	575,000$	575,000$
Zam Plante	C	20	475,000$	475,000$

Lines

Forward Lines
# - Rory Kerins	# - Lukas Reichel	# - Sam Lafferty
# - David Perron	# - Mark Jankowski	# - Jack Finley
# - Prokhor Poltapov	# - Josh Samanski
# - Jaroslav Chmelar	# - Nathan Pilling	# - Lukas Reichel

Defensive Pairings
# - Charle-Edouard D'Astous	# - Tony DeAngelo
# - Ryan Shea	# - Tyler Tucker
# - Marshall Warren	# - Jack Sparkes

1st Power Play Unit
# - Rory Kerins		# - Lukas Reichel		# - Sam Lafferty
# - Charle-Edouard D'Astous			# - Tony DeAngelo

2nd Power Play Unit
# - David Perron		# - Mark Jankowski		# - Jack Finley
# - Ryan Shea			# - Tyler Tucker

Goalies
# - Jet Greaves		# - Matt Murray

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	2	2	1	0	0	0	3.40	3.00	0.40	6	0.600	3.4	6.2	9.6	0	1	117	95	81	11	39.8	897	907	833	43	37.6	9.4	6.80	25.8	4.00	1.00	25.00%	3.40	0.40	88.24%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	352.40	236.40	360.40	116.40	206.40	103.20	48.0%	8.5%	92.0%	100.6	DULL
2	Ninjas	2	1	0	0	0	1	0	4.50	3.50	1.00	4	1.000	4.5	6.5	11.0	0	0	117	95	81	11	39.5	897	907	833	43	26.0	12.5	7.00	25.0	4.50	1.50	33.33%	3.00	1.00	66.67%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	54.5%	11.4%	86.5%	97.9	FUN
3	Junior Wolves	2	2	0	0	0	0	0	4.50	2.50	2.00	4	1.000	4.5	8.0	12.5	0	0	117	95	81	11	31.0	897	907	833	43	31.0	10.0	8.00	21.0	2.50	1.50	60.00%	4.00	0.50	87.50%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	60.0%	14.5%	91.9%	106.5	LUCKY
4	Bulldogs	3	3	0	0	0	0	0	4.67	3.00	1.67	6	1.000	4.7	8.3	13.0	0	0	117	95	81	11	35.3	897	907	833	43	37.3	7.3	6.00	27.0	2.33	0.33	14.29%	3.00	0.33	88.89%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	587.33	394.00	600.67	194.00	344.00	172.00	61.9%	13.2%	92.0%	105.2	LUCKY
5	Shockers	3	1	2	0	0	0	0	4.33	4.33	0.00	2	0.333	4.3	8.3	12.7	0	0	117	95	81	11	33.7	897	907	833	43	35.0	11.0	6.67	22.7	2.00	0.33	16.67%	3.00	0.00	100.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	587.33	394.00	600.67	194.00	344.00	172.00	48.0%	12.9%	87.6%	100.5	FUN
6	Gargoyles	3	2	1	0	0	0	0	5.00	4.00	1.00	4	0.667	5.0	8.7	13.7	0	0	117	95	81	11	30.3	897	907	833	43	38.0	13.7	9.00	24.3	2.67	1.33	50.00%	3.33	0.33	90.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	587.33	394.00	600.67	194.00	344.00	172.00	50.0%	16.5%	89.5%	106.0	FUN
7	Sailors	5	1	1	1	1	0	1	3.60	3.20	0.40	6	0.600	3.6	6.8	10.4	0	1	117	95	81	11	39.0	897	907	833	43	37.0	16.6	3.60	22.0	2.40	0.60	25.00%	1.60	0.40	75.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	352.40	236.40	360.40	116.40	206.40	103.20	51.7%	9.2%	91.4%	100.6	LUCKY
8	Devils	2	2	0	0	0	0	0	3.50	2.00	1.50	4	1.000	3.5	5.5	9.0	0	0	117	95	81	11	34.5	897	907	833	43	36.0	6.0	23.50	26.5	1.50	0.50	33.33%	4.00	0.50	87.50%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	66.7%	10.1%	94.4%	104.6	LUCKY
9	Ravens	2	0	1	1	0	0	0	3.50	3.50	0.00	2	0.500	3.5	5.5	9.0	0	0	117	95	81	11	32.0	897	907	833	43	27.5	9.5	10.00	23.5	3.50	1.00	28.57%	5.00	1.50	70.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	55.6%	10.9%	87.3%	98.2	FUN
10	Venom	4	0	3	0	1	0	0	1.75	3.75	-2.00	1	0.125	1.8	2.8	4.5	0	0	117	95	81	11	29.0	897	907	833	43	31.3	9.3	5.25	26.3	1.75	0.25	14.29%	2.00	0.50	75.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	440.50	295.50	450.50	145.50	258.00	129.00	31.6%	6.0%	88.0%	94.0	Unlucky
11	Indians	2	1	1	0	0	0	0	2.00	3.00	-1.00	2	0.500	2.0	4.0	6.0	0	0	117	95	81	11	24.0	897	907	833	43	39.0	12.5	10.00	17.5	2.50	0.00	0.00%	5.00	1.50	70.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	57.1%	8.3%	92.3%	100.6	DULL
12	Squirrels	5	3	1	1	0	0	0	4.60	3.40	1.20	8	0.800	4.6	8.6	13.2	0	0	117	95	81	11	36.4	897	907	833	43	37.4	10.2	6.80	23.8	4.40	1.40	31.82%	3.00	0.80	73.33%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	352.40	236.40	360.40	116.40	206.40	103.20	55.2%	12.6%	90.9%	103.5	FUN
13	Blades	2	1	0	0	1	0	0	3.00	2.50	0.50	3	0.750	3.0	4.5	7.5	0	0	117	95	81	11	27.5	897	907	833	43	33.5	13.5	8.00	21.0	2.50	0.00	0.00%	4.00	1.00	75.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	66.7%	10.9%	92.5%	103.4	LUCKY
14	Sharknado	3	1	2	0	0	0	0	3.33	4.00	-0.67	2	0.333	3.3	6.0	9.3	1	0	117	95	81	11	38.7	897	907	833	43	29.7	9.0	4.00	22.3	3.00	1.00	33.33%	1.67	0.67	60.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	587.33	394.00	600.67	194.00	344.00	172.00	41.2%	8.6%	86.5%	95.1	Unlucky
15	Barking Spiders	2	1	0	0	1	0	0	4.50	4.50	0.00	3	0.750	4.5	7.0	11.5	0	0	117	95	81	11	39.5	897	907	833	43	27.5	11.0	8.00	23.0	3.50	1.00	28.57%	3.00	0.50	83.33%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	46.7%	11.4%	83.6%	95.0	FUN
16	Space Invaders	2	1	1	0	0	0	0	6.00	6.00	0.00	2	0.500	6.0	10.5	16.5	0	0	117	95	81	11	33.0	897	907	833	43	35.5	12.0	5.00	20.5	2.50	0.50	20.00%	1.50	0.50	66.67%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	50.0%	18.2%	83.1%	101.3	FUN
17	Checkers	2	2	0	0	0	0	0	5.00	2.50	2.50	4	1.000	5.0	8.0	13.0	0	0	117	95	81	11	37.5	897	907	833	43	34.5	10.5	11.00	20.5	1.50	0.50	33.33%	5.50	1.00	81.82%	1	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	75.0%	13.3%	92.8%	106.1	LUCKY
18	Vikings	4	1	1	0	1	1	0	3.00	4.25	-1.25	5	0.625	3.0	4.5	7.5	0	0	117	95	81	11	35.8	897	907	833	43	38.5	7.5	6.00	28.0	1.75	0.00	0.00%	2.50	0.50	80.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	440.50	295.50	450.50	145.50	258.00	129.00	44.4%	8.4%	89.0%	97.4	Unlucky
19	Kangaroos	2	2	0	0	0	0	0	4.00	1.50	2.50	4	1.000	4.0	7.5	11.5	0	0	117	95	81	11	40.5	897	907	833	43	18.5	8.0	9.50	22.0	6.50	1.00	15.38%	3.50	0.00	100.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	66.7%	9.9%	91.9%	101.8	LUCKY
20	Thistles	3	3	0	0	0	0	0	5.33	1.67	3.67	6	1.000	5.3	9.0	14.3	0	0	117	95	81	11	36.7	897	907	833	43	23.7	9.7	8.33	22.3	2.67	1.00	37.50%	2.67	0.00	100.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	587.33	394.00	600.67	194.00	344.00	172.00	72.2%	14.5%	93.0%	107.5	LUCKY
21	Barracudas	2	1	0	0	0	0	1	5.00	3.00	2.00	3	0.750	5.0	8.5	13.5	0	0	117	95	81	11	30.5	897	907	833	43	41.5	7.5	12.00	22.0	0.50	0.00	0.00%	5.50	0.50	90.91%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	66.7%	16.4%	92.8%	109.2	LUCKY
22	Senators	2	2	0	0	0	0	0	5.00	3.50	1.50	4	1.000	5.0	8.5	13.5	0	0	117	95	81	11	32.5	897	907	833	43	45.0	17.5	11.00	29.0	3.00	0.50	16.67%	5.50	1.00	81.82%	1	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	64.3%	15.4%	92.2%	107.6	LUCKY
23	Pimps	2	1	1	0	0	0	0	4.00	3.50	0.50	2	0.500	4.0	7.0	11.0	0	0	117	95	81	11	43.5	897	907	833	43	37.5	10.5	7.00	20.0	3.00	0.00	0.00%	3.50	0.50	85.71%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	57.1%	9.2%	90.7%	99.9	FUN
24	Wolf Pack	5	3	2	0	0	0	0	3.80	3.20	0.60	6	0.600	3.8	6.8	10.6	1	0	117	95	81	11	32.6	897	907	833	43	33.0	11.0	6.40	20.2	3.60	0.40	11.11%	3.00	0.80	73.33%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	352.40	236.40	360.40	116.40	206.40	103.20	58.6%	11.7%	90.3%	102.0	FUN
25	Assassins	2	1	1	0	0	0	0	3.00	4.50	-1.50	2	0.500	3.0	5.5	8.5	0	0	117	95	81	11	29.5	897	907	833	43	39.0	10.0	7.00	22.0	2.00	0.00	0.00%	2.50	0.00	100.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	40.0%	10.2%	88.5%	98.6	FUN
26	Zolos	3	1	2	0	0	0	0	3.67	4.33	-0.67	2	0.333	3.7	7.0	10.7	0	0	117	95	81	11	33.7	897	907	833	43	41.3	10.0	9.33	18.3	4.33	1.00	23.08%	4.67	1.00	78.57%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	587.33	394.00	600.67	194.00	344.00	172.00	44.4%	10.9%	89.5%	100.4	FUN
27	Huskies	2	1	0	0	1	0	0	4.50	3.00	1.50	3	0.750	4.5	7.0	11.5	0	0	117	95	81	11	44.5	897	907	833	43	26.5	8.5	10.00	29.5	2.50	1.00	40.00%	2.50	0.50	80.00%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	881.00	591.00	901.00	291.00	516.00	258.00	58.3%	10.1%	88.7%	98.8	FUN
	_Vs Division	28	10	10	3	3	1	1	3.43	3.43	0.00	32	0.571	3.4	6.1	9.5	1	2	117	95	81	11	35.6	897	907	833	43	35.9	10.8	5.82	24.1	3.07	0.64	20.93%	2.61	0.57	78.08%	0	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	62.93	42.21	64.36	20.79	36.86	18.43	49.4%	9.6%	90.4%	100.1	FUN
	_Vs Conference	47	21	18	3	3	1	1	3.89	3.57	0.32	54	0.574	3.9	6.9	10.8	2	2	117	95	81	11	35.3	897	907	833	43	35.0	10.8	6.53	23.1	2.94	0.72	24.64%	2.83	0.53	81.20%	1	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	37.49	25.15	38.34	12.38	21.96	10.98	51.0%	11.0%	89.8%	100.8	FUN
	_Since Last GM Reset	76	40	22	4	6	2	2	3.93	3.39	0.54	100	0.658	3.9	6.8	10.8	2	2	117	95	81	11	35.0	897	907	833	43	34.4	10.6	7.72	23.3	2.91	0.67	23.08%	3.21	0.58	81.97%	2	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	23.18	15.55	23.71	7.66	13.58	6.79	53.7%	11.2%	90.1%	101.4	FUN
	Total	76	40	22	4	6	2	2	3.93	3.39	0.54	100	0.658	3.9	6.8	10.8	2	2	117	95	81	11	35.0	897	907	833	43	34.4	10.6	7.72	23.3	2.91	0.67	23.08%	3.21	0.58	81.97%	2	1355	2692	50.33%	1404	2717	51.67%	666	1296	51.39%	23.18	15.55	23.71	7.66	13.58	6.79	53.7%	11.2%	90.1%	101.4	FUN

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	2692
Neutral Zone Start	1296
Defensive Zone Start	2717

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	3425
Faceoffs Lost	3280

	Team Average Shots after	League Average Shots after
1st Period	11.8	9.57
2nd Period	23.7	20.31
3rd Period	34.7	30.68
Overtime	35.3	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.5	0.64
2nd Period	2.8	1.65
3rd Period	3.9	2.67
Overtime	4.0	2.83


Even Strenght Goal	244
PP Goal	51
PK Goal	2
Empty Net Goal	2

	Home	Away
Win	22	24
Lost	11	11
Overtime Lost	4	4


PP Attempt	221
PP Goal	51
PK Attempt	244
PK Goal Against	44

	Home
Shots For	35.0
Shots Against	34.4
Goals For	3.9
Goals Against	3.4
Hits	23.3
Shots Blocked	10.6
Pim	7.7

Schedule

Date	Matchup			Result	Detail
Sun, Dec 28	EAG	@	WPK	EAG0,WPK5	RECAP
Thu, Jan 1	EAG	@	CHE	EAG5,CHE3	RECAP
Fri, Jan 2	EAG	@	SHO	EAG8,SHO6	RECAP
Sun, Jan 4 10:02	EAG	@	SHA	EAG3,SHA5	RECAP
Sun, Jan 4 22:02	EAG	@	SPA	EAG6,SPA8	RECAP
Wed, Jan 7	SHA	@	EAG	SHA3,EAG1	RECAP
Fri, Jan 9	ASS	@	EAG	ASS4,EAG5	RECAP
Sat, Jan 10 10:02	VEN	@	EAG	VEN5,EAG2	RECAP
Wed, Jan 14	JWO	@	EAG	JWO3,EAG6	RECAP
Fri, Jan 16	SAI	@	EAG	SAI4,EAG5 (OT)	RECAP
Sat, Jan 17 22:02	VEN	@	EAG	VEN3,EAG1	RECAP
Wed, Jan 21	EAG	@	WPK	EAG6,WPK3	RECAP
Thu, Jan 22	SAI	@	EAG	SAI5,EAG4 (OT)	RECAP
Wed, Jan 28	WPK	@	EAG	WPK1,EAG4	RECAP
Sat, Jan 31 22:02	EAG	@	VEN	EAG2,VEN3 (OT)	RECAP
Tue, Feb 3	WPK	@	EAG	WPK6,EAG4	RECAP
Wed, Feb 4 22:02	NIN	@	EAG	NIN4,EAG5 (SO)	RECAP
Thu, Feb 5	BAR	@	EAG	BAR3,EAG8	RECAP
Tue, Feb 10 06:31	SQU	@	EAG	SQU3,EAG5	RECAP
Wed, Feb 11 08:23	SEN	@	EAG	SEN5,EAG6	RECAP
Thu, Feb 12	RAV	@	EAG	RAV4,EAG3	RECAP
Sat, Feb 14 10:02	EAG	@	OHK	EAG2,OHK0	RECAP
Sun, Feb 15	SQU	@	EAG	SQU3,EAG2	RECAP
Tue, Feb 17	THI	@	EAG	THI1,EAG5	RECAP
Thu, Feb 19	OHK	@	EAG	OHK5,EAG3	RECAP
Sun, Feb 22	EAG	@	WPK	EAG5,WPK1	RECAP
Wed, Feb 25	EAG	@	VIK	EAG0,VIK6	RECAP
Sat, Feb 28 10:02	EAG	@	BAR	EAG2,BAR3 (SO)	RECAP
Sun, Mar 1 10:02	EAG	@	DEV	EAG5,DEV3	RECAP
Tue, Mar 3	EAG	@	KAN	EAG3,KAN2	RECAP
Thu, Mar 5	EAG	@	BUL	EAG4,BUL3	RECAP
Sat, Mar 7 22:02	VIK	@	EAG	VIK6,EAG7 (SO)	RECAP
Mon, Mar 9	EAG	@	GRG	EAG2,GRG3	RECAP
Fri, Mar 13	EAG	@	JWO	EAG3,JWO2	RECAP
Sat, Mar 14 22:02	EAG	@	SEN	EAG4,SEN2	RECAP
Mon, Mar 16	SHO	@	EAG	SHO3,EAG2	RECAP
Wed, Mar 18	CHE	@	EAG	CHE2,EAG5	RECAP
Thu, Mar 19	EAG	@	SAI	EAG4,SAI0	RECAP
Sat, Mar 21 22:02	IND	@	EAG	IND1,EAG2	RECAP
Sun, Mar 22 10:02	SAI	@	EAG	SAI4,EAG3	RECAP
Mon, Mar 23	SPA	@	EAG	SPA4,EAG6	RECAP
Wed, Mar 25	BUL	@	EAG	BUL2,EAG4	RECAP
Sat, Mar 28 10:02	EAG	@	PIM	EAG7,PIM2	RECAP
Sun, Mar 29 21:02	EAG	@	BLA	EAG3,BLA4 (OT)	RECAP
Tue, Mar 31	EAG	@	ASS	EAG1,ASS5	RECAP
Wed, Apr 1	EAG	@	SHO	EAG3,SHO4	RECAP
Fri, Apr 3	EAG	@	ZOL	EAG2,ZOL1	RECAP
Sat, Apr 4 21:02	EAG	@	THI	EAG7,THI3	RECAP
Tue, Apr 7 05:11	BKS	@	EAG	BKS5,EAG4 (OT)	RECAP
Thu, Apr 9 21:02	EAG	@	BKS	EAG5,BKS4	RECAP
Sat, Apr 11 21:02	EAG	@	RAV	EAG4,RAV3 (OT)	RECAP
Mon, Apr 13	EAG	@	IND	EAG2,IND5	RECAP
Wed, Apr 15 21:02	EAG	@	ZOL	EAG4,ZOL6	RECAP
Fri, Apr 17	EAG	@	GRG	EAG7,GRG6	RECAP
Sun, Apr 19 09:02	EAG	@	SQU	EAG6,SQU4	RECAP
Thu, Apr 23	EAG	@	OHK	EAG1,OHK3	RECAP
Sat, Apr 25 21:02	BLA	@	EAG	BLA1,EAG3	RECAP
Sun, Apr 26 21:02	SHA	@	EAG	SHA4,EAG6	RECAP
Wed, Apr 29	EAG	@	VIK	EAG4,VIK3	RECAP
Fri, May 1	OHK	@	EAG	OHK5,EAG6 (OT)	RECAP
Sat, May 2 21:02	SAI	@	EAG	SAI3,EAG2 (SO)	RECAP
Sun, May 3 21:02	GRG	@	EAG	GRG3,EAG6	RECAP
Wed, May 6	THI	@	EAG	THI1,EAG4	RECAP
Fri, May 8	DEV	@	EAG	DEV1,EAG2	RECAP
Sat, May 9 09:02	CAN	@	EAG	CAN2,EAG6	RECAP
Sun, May 10 21:02	EAG	@	OHK	EAG5,OHK2	RECAP
Thu, May 14	EAG	@	SQU	EAG6,SQU5 (OT)	RECAP
Sat, May 16	EAG	@	VEN	EAG2,VEN4	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Wed, May 20	VIK	@	EAG	VIK2,EAG1 (OT)	RECAP
Thu, May 21	EAG	@	SQU	EAG4,SQU2	RECAP
Sat, May 23	KAN	@	EAG	KAN1,EAG5	RECAP
Sun, May 24 21:02	ZOL	@	EAG	ZOL6,EAG5	RECAP
Mon, May 25	PIM	@	EAG	PIM5,EAG1	RECAP
Thu, May 28	EAG	@	NIN	EAG4,NIN3	RECAP
Sun, May 31 09:28	EAG	@	CAN	EAG3,CAN4 (OT)	RECAP
Sun, May 31 21:02	EAG	@	BUL	EAG6,BUL4	RECAP
Tue, Jun 2	SHO	@	EAG
Wed, Jun 3	VEN	@	EAG
Sat, Jun 6 AM	EAG	@	VIK
Sun, Jun 7 AM	SPA	@	EAG
Sun, Jun 7 PM	EAG	@	SAI
Tue, Jun 9	CHE	@	EAG

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,260,500$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	61065	29845
Attendance PCT	82.52%	80.66%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
4	2457 - 81.90%	69,864$	2,584,950$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,260,500$	2,260,500$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,980,174$	11,652$	1,931,508$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
279,454$	12	11,652$	139,824$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
139,824$	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

Eagles46-22-8, 100pts

34Final

Huskies26-41-10, 62pts

Eagles46-22-8, 100pts

64Final

Bulldogs25-49-3, 53pts

Eagles46-22-8, 100pts

Wed, Jun 10

Bulldogs25-49-3, 53pts

Eagles46-22-8, 100pts

Mon, Dec 15

Checkers13-61-3, 29pts

Eagles46-22-8, 100pts

Tue, Dec 16

Shockers51-23-3, 105pts

TRANSACTIONS

Team Info


	Head Coach
	Division	Salming
	City	Mulheim
	Stadium Capacity	3,000

Eagles Affiliation


	General Manager	Sascha Zerwas
	Head Coach
	Stadium
	Capacity	18,000

Team Leaders

GOALS David Perron Eagles	41 GOALS
POINTS David Perron Eagles	86 POINTS
WINS Jet Greaves Eagles	42 WINS
Expanded Player Leaderboard

Team Stats

Goals For 299 3.93 GFG	Goals Against 258 3.39 GAA
Power Play Percentage 23.1% 51 GF	Penalty Kill Percentage 82.0% 44 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain