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
Filip Chlapik	0	C/LW	100.00	66	75	80	68	75	57	84	63	85	60	61	62	58	49	49	68	75	68	28	450,000$/1yrs
Alexander Chmelevski (R)	89	C	100.00	65	67	83	65	67	58	88	63	76	59	65	57	62	47	47	68	75	68	26	450,000$/1yrs
Glenn Gawdin	0	C/RW	100.00	65	69	82	64	69	57	87	62	68	58	63	61	60	49	49	67	75	67	28	450,000$/1yrs
Trevor Lewis	0	C/RW	100.00	70	40	85	71	75	50	72	60	73	62	64	71	58	84	61	67	75	67	38	450,000$/1yrs
Matt Rempe (R) (A)	0	C/RW	100.00	74	72	74	76	99	51	65	59	54	62	61	65	55	57	58	65	75	65	23	820,000$/1yrs
Rhett Pitlick (R)	0	LW/RW	100.00	64	61	86	64	61	56	82	59	48	57	57	60	54	34	34	64	75	64	24	600,000$/1yrs
Mackenzie MacEachern	0	LW/RW	100.00	65	72	70	64	71	55	63	60	70	57	59	62	56	48	48	62	75	62	31	450,000$/1yrs
Skyler Brind'Amour (R)	0	C/LW	100.00	66	70	85	64	70	55	82	56	45	47	58	48	55	35	35	62	75	62	25	450,000$/1yrs
Thomas Bordeleau	0	C/LW	100.00	64	63	84	63	63	56	71	57	34	49	59	52	56	36	36	61	75	61	23	874,125$/1yrs
Andrei Loshko (R)	0	RW	100.00	65	67	90	62	67	54	86	54	36	46	58	39	54	37	37	61	75	61	20	500,000$/2yrs
Xavier Simoneau (R)	0	C/LW	100.00	63	65	67	64	64	55	77	53	36	49	51	60	48	43	43	60	75	60	24	855,000$/1yrs
Denton Mateychuk (R) (A)	0	D	100.00	58	46	80	74	67	67	79	61	41	65	60	75	55	56	57	67	75	67	20	875,000$/1yrs
Erik Johnson (C)	6	D	100.00	66	66	86	66	84	61	43	55	40	62	58	80	54	84	72	65	75	65	37	500,000$/1yrs
Linus Hultstrom	66	D	100.00	65	68	84	69	69	59	87	55	25	46	49	61	47	51	51	64	75	64	32	450,000$/1yrs
Nils Lundkvist (R)	0	D	100.00	63	40	80	66	71	62	47	55	40	63	55	76	54	59	58	63	75	63	24	1,250,000$/1yrs
Jordan Harris	0	D	100.00	61	40	90	67	68	53	40	55	40	63	57	77	54	59	58	62	75	62	24	1,400,000$/1yrs
Tom Willander (R)	0	D	100.00	65	68	87	65	68	55	82	49	25	42	40	65	38	31	31	61	75	61	20	875,000$/2yrs
Oliver Bonk (R)	0	D	100.00	65	74	80	64	74	53	80	48	25	38	41	62	39	40	40	60	75	60	20	875,000$/2yrs
Scratches
Curtis Lazar	0	C/LW/RW	94.02	77	40	87	69	74	51	58	56	80	61	59	70	54	71	59	64	75	64	30	450,000$/2yrs
Samu Tuomaala (R)	0	RW	97.63	65	65	85	64	65	56	78	58	48	53	60	44	57	35	35	63	75	63	22	830,833$/2yrs
Gavin Brindley (R)	0	LW/RW	100.00	64	62	86	63	62	55	79	51	27	47	48	49	46	35	35	59	75	59	20	725,000$/2yrs
Max McCue (R)	0	C	100.00	63	68	60	62	68	52	77	48	39	44	47	48	44	39	39	58	75	58	22	858,333$/3yrs
Adam Ingram (R)	0	C	100.00	65	66	88	62	66	52	77	48	34	44	47	45	45	33	33	58	75	58	21	550,000$/1yrs
Barrett Hall (R)	0	C	100.00	65	63	92	62	64	54	77	51	34	46	48	40	46	32	32	58	75	58	21	450,000$/1yrs
Daimon Gardner (R)	0	C	100.00	67	74	85	63	75	52	73	48	55	43	47	48	44	33	33	58	75	58	21	500,000$/1yrs
Joey Anderson	0	LW/RW	100.00	62	53	81	64	75	60	58	59	56	59	60	68	55	63	59	58	75	58	27	800,000$/2yrs
Samu Bau (R)	0	C	100.00	67	77	85	63	78	53	73	48	66	44	47	48	45	33	33	58	75	58	21	450,000$/2yrs
Cameron Lund (R)	0	C/LW/RW	100.00	57	40	84	65	73	53	83	55	53	60	60	64	54	54	58	56	75	56	21	725,000$/1yrs
Sutter Muzzatti (R)	0	C/LW/RW	100.00	67	81	78	63	81	50	63	47	59	42	46	39	44	31	31	56	75	56	22	475,000$/2yrs
Tnias Mathurin (R)	0	D	100.00	65	75	83	63	75	52	75	47	25	37	41	62	39	37	37	59	75	59	21	475,000$/1yrs
Samuel Knazko (R)	0	D	100.00	65	69	87	64	69	54	73	48	25	38	41	56	39	36	36	57	75	57	22	847,500$/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
Arturs Silovs	0	99.00	66	69	65	75	70	65	68	65	65	65	73	61	56	62	75	62	24	850,000$/2yrs
Jakub Malek	0	100.00	60	71	63	69	60	67	60	60	60	60	53	34	34	56	75	56	23	867,500$/2yrs
Scratches
Lars Johansson	0	100.00	66	70	63	59	66	73	66	66	66	66	59	65	65	60	75	60	37	450,000$/1yrs
Sergei Murashov	0	100.00	55	79	67	62	55	62	55	55	55	55	48	40	40	52	75	52	21	500,000$/1yrs
Carson Bjarnason	0	100.00	50	77	66	69	50	57	50	50	50	50	43	35	35	49	75	49	20	625,000$/2yrs
Yegor Zavragin	0	100.00	44	80	67	62	44	51	44	44	44	44	37	38	38	46	75	46	19	550,000$/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	PSG	PSS
1	Matt Rempe	Barracudas (BUT)	C/RW	54	27	24	51	-6	42	10	111	185	42	127	14.59%	14	18.77	5	6	11	0	0	0	85	3	2	53.12%	721	2	1.01	0	1
2	Jordan Harris	Barracudas (BUT)	D	54	13	32	45	3	35	5	44	89	30	66	14.61%	83	18.85	4	5	9	0	0	0	69	2	0	0.00%	0	0	0.88	0	1
3	Rhett Pitlick	Barracudas (BUT)	LW/RW	64	22	19	41	-6	4	0	47	161	44	95	13.66%	9	18.00	7	7	14	0	0	0	97	3	2	40.74%	108	1	0.71	0	1
4	Alexander Chmelevski	Barracudas (BUT)	C	64	18	23	41	2	8	0	67	232	53	133	7.76%	16	21.52	5	5	10	1	0	1	170	0	2	57.79%	1888	0	0.60	1	4
5	Linus Hultstrom	Barracudas (BUT)	D	64	8	32	40	-12	42	0	128	87	29	47	9.20%	69	21.17	2	12	14	0	0	0	139	2	0	0.00%	0	0	0.59	0	0
6	Denton Mateychuk	Barracudas (BUT)	D	45	6	33	39	-6	18	0	61	87	28	65	6.90%	83	23.26	4	10	14	1	0	1	112	2	1	0.00%	0	0	0.75	0	0
7	Mackenzie MacEachern	Barracudas (BUT)	LW/RW	46	21	15	36	2	25	5	66	121	41	90	17.36%	7	14.89	4	2	6	0	1	1	17	4	1	64.63%	82	0	1.05	0	1
8	Skyler Brind'Amour	Barracudas (BUT)	C/LW	64	11	25	36	-9	18	0	76	110	29	75	10.00%	9	16.18	2	4	6	0	0	0	15	1	1	40.33%	553	1	0.70	0	1
9	Thomas Bordeleau	Barracudas (BUT)	C/LW	64	12	16	28	-9	24	0	66	105	31	79	11.43%	4	12.91	0	1	1	0	0	0	44	1	0	34.96%	838	0	0.68	0	1
10	Nils Lundkvist	Barracudas (BUT)	D	36	8	20	28	6	20	0	45	61	16	36	13.11%	50	19.14	2	4	6	0	0	0	73	2	0	0.00%	0	0	0.81	0	0
11	Tom Willander	Barracudas (BUT)	D	64	5	22	27	-5	28	0	106	74	14	53	6.76%	57	18.08	1	4	5	0	0	0	78	0	0	0.00%	0	0	0.47	0	0
12	Samu Tuomaala	Barracudas (BUT)	RW	62	8	16	24	-28	20	0	61	98	28	70	8.16%	6	16.19	2	6	8	0	0	0	24	1	1	46.15%	104	0	0.48	1	1
13	Erik Johnson	Barracudas (BUT)	D	26	7	16	23	0	12	0	50	37	13	28	18.92%	31	21.16	4	3	7	0	1	1	67	0	1	0.00%	0	0	0.84	0	0
14	Glenn Gawdin	Barracudas (BUT)	C/RW	26	5	14	19	8	8	0	35	78	27	53	6.41%	3	18.20	0	5	5	0	1	1	51	2	0	53.25%	77	0	0.80	2	3
15	Filip Chlapik	Barracudas (BUT)	C/LW	21	7	12	19	8	6	0	29	80	13	41	8.75%	6	18.56	1	2	3	0	1	1	61	2	1	47.06%	51	0	0.97	1	3
16	Xavier Simoneau	Barracudas (BUT)	C/LW	54	11	5	16	-17	18	0	82	83	21	53	13.25%	12	12.09	0	0	0	0	0	0	19	0	0	41.14%	158	1	0.49	0	0
17	Oliver Bonk	Barracudas (BUT)	D	41	2	12	14	-15	16	0	61	32	10	23	6.25%	41	14.01	0	2	2	0	0	0	26	1	0	0.00%	0	0	0.49	0	0
18	Curtis Lazar	Barracudas (BUT)	C/LW/RW	21	8	5	13	1	10	0	19	59	9	36	13.56%	3	13.95	1	1	2	0	0	0	9	0	0	64.86%	111	0	0.89	0	0
19	Andrei Loshko	Barracudas (BUT)	RW	64	6	5	11	-16	16	0	52	44	11	48	13.64%	3	13.92	0	1	1	0	0	0	25	1	0	36.71%	79	0	0.25	1	1
20	Joey Anderson	Barracudas (BUT)	LW/RW	21	5	4	9	1	4	0	16	40	11	29	12.50%	1	9.56	0	0	0	0	0	0	0	0	0	53.85%	13	0	0.90	0	1
21	Gavin Brindley	Barracudas (BUT)	LW/RW	43	2	6	8	7	8	0	28	33	15	23	6.06%	3	10.46	0	1	1	0	0	0	15	0	0	38.89%	36	0	0.36	0	0
22	Tnias Mathurin	Barracudas (BUT)	D	21	1	3	4	-1	20	10	26	9	7	6	11.11%	21	12.70	0	0	0	0	0	0	7	0	0	0.00%	0	0	0.30	0	0
23	Trevor Lewis	Barracudas (BUT)	C/RW	3	0	2	2	0	2	0	4	6	2	8	0.00%	1	19.07	0	1	1	0	0	0	5	0	0	60.61%	66	0	0.70	0	0
24	Samuel Knazko	Barracudas (BUT)	D	6	0	0	0	-2	6	0	4	3	1	1	0.00%	3	9.31	0	0	0	0	0	0	3	0	0	0.00%	0	0	0.00	0	0
25	Max McCue	Barracudas (BUT)	C	15	0	0	0	-1	6	0	8	2	0	0	0.00%	1	3.25	0	0	0	0	0	0	0	0	0	43.86%	57	0	0.00	0	0
26	Barrett Hall	Barracudas (BUT)	C	1	0	0	0	-2	0	0	0	0	0	0	0.00%	0	11.07	0	0	0	0	0	0	0	0	0	25.00%	12	0	0.00	0	0
27	Daimon Gardner	Barracudas (BUT)	C	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.05	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0
Team Total or Average			1048	213	361	574	-97	416	30	1292	1916	525	1285	11.12%	536	16.48	44	82	126	1513	2	4	6	1221	27	12	49.56%	4954	5	0.66	6	19

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	Arturs Silovs	Barracudas (BUT)	33	13	15	1	0.887	3.61	1793	10	1	108	958	0	2	2	0.818	11	33	9	2	0	0
2	Jakub Malek	Barracudas (BUT)	17	8	7	0	0.884	3.78	841	0	0	53	457	0	2	0	0.667	3	13	29	0	0	0
3	Lars Johansson	Barracudas (BUT)	16	5	7	0	0.879	4.07	737	0	0	50	412	0	1	1	0.000	0	10	19	0	0	0
4	Sergei Murashov	Barracudas (BUT)	8	4	3	1	0.902	2.93	492	0	0	24	246	0	0	0	0.600	5	8	7	0	1	1
Team Total or Average		74	30	32	2	0.887	3.65	3864	10	1	235	2073	0	5	3	0.737	19	64	64	2	1	1

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20
Adam Ingram	C	21	550,000$	550,000$
Alexander Chmelevski	C	26	450,000$	450,000$	RFA
Andrei Loshko	RW	20	500,000$	500,000$	500,000$
Arturs Silovs	G	24	850,000$	850,000$	850,000$	RFA
Barrett Hall	C	21	450,000$	450,000$
Cameron Lund	C/LW/RW	21	725,000$	725,000$
Carson Bjarnason	G	20	625,000$	625,000$	625,000$
Curtis Lazar	C/LW/RW	30	450,000$	450,000$	450,000$	RFA
Daimon Gardner	C	21	500,000$	500,000$
Denton Mateychuk	D	20	875,000$	875,000$
Erik Johnson	D	37	500,000$	500,000$	UFA
Filip Chlapik	C/LW	28	450,000$	450,000$	RFA
Gavin Brindley	LW/RW	20	725,000$	725,000$	725,000$
Glenn Gawdin	C/RW	28	450,000$	450,000$	RFA
Jakub Malek	G	23	867,500$	867,500$	867,500$
Joey Anderson	LW/RW	27	800,000$	800,000$	800,000$	RFA
Jordan Harris	D	24	1,400,000$	1,400,000$	RFA
Lars Johansson	G	37	450,000$	450,000$	UFA
Linus Hultstrom	D	32	450,000$	450,000$	UFA
Mackenzie MacEachern	LW/RW	31	450,000$	450,000$	RFA
Matt Rempe	C/RW	23	820,000$	820,000$
Max McCue	C	22	858,333$	858,333$	858,333$	858,333$
Nils Lundkvist	D	24	1,250,000$	1,250,000$	RFA
Oliver Bonk	D	20	875,000$	875,000$	875,000$
Rhett Pitlick	LW/RW	24	600,000$	600,000$	RFA
Samu Bau	C	21	450,000$	450,000$	450,000$
Samu Tuomaala	RW	22	830,833$	830,833$	830,833$
Samuel Knazko	D	22	847,500$	847,500$
Sergei Murashov	G	21	500,000$	500,000$
Skyler Brind'Amour	C/LW	25	450,000$	450,000$	RFA
Sutter Muzzatti	C/LW/RW	22	475,000$	475,000$	475,000$
Thomas Bordeleau	C/LW	23	874,125$	874,125$
Tnias Mathurin	D	21	475,000$	475,000$
Tom Willander	D	20	875,000$	875,000$	875,000$
Trevor Lewis	C/RW	38	450,000$	450,000$	UFA
Xavier Simoneau	C/LW	24	855,000$	855,000$	RFA
Yegor Zavragin	G	19	550,000$	550,000$	550,000$

Lines

Forward Lines
# - Filip Chlapik	# - Alexander Chmelevski	# - Glenn Gawdin
# - Rhett Pitlick	# - Trevor Lewis	# - Matt Rempe
# - Mackenzie MacEachern	# - Skyler Brind'Amour	# - Andrei Loshko
# - Xavier Simoneau	# - Thomas Bordeleau	# - Alexander Chmelevski

Defensive Pairings
# - Denton Mateychuk	# - Erik Johnson
# - Linus Hultstrom	# - Nils Lundkvist
# - Jordan Harris	# - Tom Willander

1st Power Play Unit
# - Filip Chlapik		# - Alexander Chmelevski		# - Glenn Gawdin
# - Denton Mateychuk			# - Erik Johnson

2nd Power Play Unit
# - Rhett Pitlick		# - Trevor Lewis		# - Matt Rempe
# - Linus Hultstrom			# - Nils Lundkvist

Goalies
# - Arturs Silovs		# - Jakub Malek

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	2	1	1	0	0	0	0	2.50	2.50	0.00	2	0.500	2.5	4.5	7.0	0	0	79	81	63	9	28.5	685	714	624	41	26.0	8.0	8.00	17.5	3.00	0.50	16.67%	4.00	0.50	87.50%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	50.0%	8.8%	90.4%	99.2	Unlucky
2	Junior Wolves	3	2	1	0	0	0	0	4.33	3.33	1.00	4	0.667	4.3	7.3	11.7	1	0	79	81	63	9	28.7	685	714	624	41	26.7	7.0	8.00	20.7	2.67	0.67	25.00%	4.00	1.00	75.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	497.00	332.33	503.33	163.00	289.33	145.00	61.1%	15.1%	87.5%	102.6	FUN
3	Bulldogs	3	2	1	0	0	0	0	2.33	2.33	0.00	4	0.667	2.3	3.3	5.7	0	0	79	81	63	9	33.0	685	714	624	41	28.0	6.3	7.00	18.3	4.00	0.67	16.67%	1.67	0.00	100.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	497.00	332.33	503.33	163.00	289.33	145.00	41.7%	7.1%	91.7%	98.7	DULL
4	Shockers	1	0	1	0	0	0	0	2.00	5.00	-3.00	0	0.000	2.0	4.0	6.0	0	0	79	81	63	9	27.0	685	714	624	41	33.0	12.0	10.00	20.0	2.00	1.00	50.00%	5.00	0.00	100.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	1,491.00	997.00	1,510.00	489.00	868.00	435.00	16.7%	7.4%	84.8%	92.3	Unlucky
5	Gargoyles	2	2	0	0	0	0	0	4.50	3.50	1.00	4	1.000	4.5	8.5	13.0	0	0	79	81	63	9	38.0	685	714	624	41	37.5	8.0	7.00	23.5	4.50	0.50	11.11%	2.50	0.50	80.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	57.1%	11.8%	90.7%	102.5	FUN
6	Sailors	3	0	1	1	0	0	1	3.00	3.67	-0.67	3	0.500	3.0	5.7	8.7	1	0	79	81	63	9	34.0	685	714	624	41	29.7	8.3	5.33	15.7	3.00	0.67	22.22%	2.33	1.00	57.14%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	497.00	332.33	503.33	163.00	289.33	145.00	46.7%	8.8%	87.6%	96.5	Unlucky
7	Devils	5	1	3	0	1	0	0	2.40	3.20	-0.80	3	0.300	2.4	4.0	6.4	0	0	79	81	63	9	23.8	685	714	624	41	31.6	7.4	9.20	23.0	1.60	0.20	12.50%	4.40	0.60	86.36%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	298.20	199.40	302.00	97.80	173.60	87.00	45.8%	10.1%	89.9%	100.0	FUN
8	Eagles	2	0	1	0	0	1	0	3.00	5.00	-2.00	2	0.500	3.0	4.5	7.5	0	0	79	81	63	9	41.5	685	714	624	41	30.5	10.5	2.00	22.5	5.50	0.50	9.09%	0.50	0.00	100.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	33.3%	7.2%	83.6%	90.8	Unlucky
9	Ravens	4	0	2	1	0	1	0	3.50	4.25	-0.75	4	0.500	3.5	5.0	8.5	1	0	79	81	63	9	35.3	685	714	624	41	30.3	11.3	6.00	25.3	2.25	0.50	22.22%	2.25	0.00	100.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	372.75	249.25	377.50	122.25	217.00	108.75	41.4%	9.9%	86.0%	95.9	FUN
10	Venom	1	0	1	0	0	0	0	0.00	5.00	-5.00	0	0.000	0.0	0.0	0.0	0	0	79	81	63	9	25.0	685	714	624	41	36.0	10.0	10.00	23.0	0.00	0.00	0.00%	4.00	1.00	75.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	1,491.00	997.00	1,510.00	489.00	868.00	435.00	0.0%	0.0%	86.1%	86.1	Unlucky
11	Indians	3	1	1	0	0	1	0	4.00	3.67	0.33	4	0.667	4.0	6.3	10.3	0	0	79	81	63	9	27.0	685	714	624	41	34.0	11.0	12.33	23.7	2.33	0.67	28.57%	4.67	0.67	85.71%	1	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	497.00	332.33	503.33	163.00	289.33	145.00	52.6%	14.8%	89.2%	104.0	FUN
12	Squirrels	2	1	1	0	0	0	0	3.50	3.00	0.50	2	0.500	3.5	6.5	10.0	0	0	79	81	63	9	26.5	685	714	624	41	43.0	12.0	8.00	25.5	5.00	1.00	20.00%	4.00	1.00	75.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	55.6%	13.2%	93.0%	106.2	LUCKY
13	Blades	2	2	0	0	0	0	0	6.50	2.50	4.00	4	1.000	6.5	12.0	18.5	0	0	79	81	63	9	34.5	685	714	624	41	30.5	9.0	5.00	15.5	4.00	0.50	12.50%	2.00	0.00	100.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	70.6%	18.8%	91.8%	110.6	LUCKY
14	Sharknado	1	0	1	0	0	0	0	5.00	6.00	-1.00	0	0.000	5.0	8.0	13.0	0	0	79	81	63	9	29.0	685	714	624	41	44.0	15.0	16.00	25.0	1.00	1.00	100.00%	8.00	3.00	62.50%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	1,491.00	997.00	1,510.00	489.00	868.00	435.00	57.1%	17.2%	86.4%	103.6	FUN
15	Barking Spiders	5	2	3	0	0	0	0	3.40	3.20	0.20	4	0.400	3.4	5.6	9.0	0	0	79	81	63	9	35.0	685	714	624	41	32.2	11.4	8.40	18.8	3.80	1.00	26.32%	3.00	0.60	80.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	298.20	199.40	302.00	97.80	173.60	87.00	48.0%	9.7%	90.1%	99.8	FUN
16	Space Invaders	2	1	1	0	0	0	0	5.00	6.50	-1.50	2	0.500	5.0	9.5	14.5	0	0	79	81	63	9	39.0	685	714	624	41	40.0	10.5	9.00	23.5	3.50	0.50	14.29%	4.50	1.00	77.78%	1	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	45.0%	12.8%	83.8%	96.6	FUN
17	Checkers	1	1	0	0	0	0	0	5.00	3.00	2.00	2	1.000	5.0	9.0	14.0	0	0	79	81	63	9	35.0	685	714	624	41	39.0	8.0	10.00	22.0	1.00	1.00	100.00%	4.00	0.00	100.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	1,491.00	997.00	1,510.00	489.00	868.00	435.00	57.1%	14.3%	92.3%	106.6	LUCKY
18	Vikings	2	2	0	0	0	0	0	3.00	1.00	2.00	4	1.000	3.0	5.5	8.5	0	0	79	81	63	9	26.5	685	714	624	41	22.0	6.5	5.00	18.0	3.00	0.50	16.67%	2.00	0.00	100.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	71.4%	11.3%	95.5%	106.8	LUCKY
19	Kangaroos	3	3	0	0	0	0	0	4.67	2.33	2.33	6	1.000	4.7	8.0	12.7	0	1	79	81	63	9	27.7	685	714	624	41	37.0	8.3	6.00	25.3	2.67	1.33	50.00%	2.67	0.00	100.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	497.00	332.33	503.33	163.00	289.33	145.00	58.8%	16.9%	93.7%	110.6	LUCKY
20	Thistles	2	2	0	0	0	0	0	6.00	4.00	2.00	4	1.000	6.0	9.0	15.0	0	0	79	81	63	9	39.0	685	714	624	41	25.0	6.5	7.50	24.0	4.50	2.50	55.56%	2.50	1.00	60.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	53.8%	15.4%	84.0%	99.4	FUN
21	Senators	2	0	2	0	0	0	0	2.50	5.00	-2.50	0	0.000	2.5	3.5	6.0	0	0	79	81	63	9	34.0	685	714	624	41	34.5	12.5	9.50	25.0	3.00	0.00	0.00%	1.50	0.50	66.67%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	35.7%	7.4%	85.5%	92.9	Unlucky
22	Pimps	5	1	4	0	0	0	0	3.00	4.20	-1.20	2	0.200	3.0	5.2	8.2	0	0	79	81	63	9	33.2	685	714	624	41	33.0	8.8	7.20	24.6	3.80	0.80	21.05%	3.60	0.40	88.89%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	298.20	199.40	302.00	97.80	173.60	87.00	36.7%	9.0%	87.3%	96.3	FUN
23	Wolf Pack	2	0	2	0	0	0	0	2.50	4.00	-1.50	0	0.000	2.5	5.0	7.5	0	0	79	81	63	9	37.5	685	714	624	41	43.5	11.5	7.00	25.0	1.50	1.00	66.67%	3.50	1.00	71.43%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	33.3%	6.7%	90.8%	97.5	Unlucky
24	Assassins	2	0	2	0	0	0	0	1.50	4.00	-2.50	0	0.000	1.5	2.0	3.5	0	0	79	81	63	9	23.0	685	714	624	41	29.0	10.5	2.00	18.5	3.00	0.00	0.00%	1.00	1.00	0.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	33.3%	6.5%	86.2%	92.7	Unlucky
25	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	79	81	63	9	42.0	685	714	624	41	32.0	14.0	4.00	28.5	3.50	1.00	28.57%	1.00	0.50	50.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	37.5%	9.5%	82.8%	92.3	FUN
26	Huskies	2	1	1	0	0	0	0	7.00	5.50	1.50	2	0.500	7.0	12.5	19.5	0	0	79	81	63	9	28.0	685	714	624	41	33.0	9.5	4.00	21.0	3.50	1.00	28.57%	2.00	0.00	100.00%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	745.50	498.50	755.00	244.50	434.00	217.50	52.2%	25.0%	83.3%	108.3	FUN
	_Vs Division	24	7	14	1	1	1	0	3.54	3.79	-0.25	19	0.396	3.5	5.9	9.4	2	0	79	81	63	9	31.0	685	714	624	41	31.3	9.3	7.50	22.4	2.92	0.67	22.86%	3.33	0.46	86.25%	0	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	62.13	41.54	62.92	20.38	36.17	18.13	46.3%	11.4%	87.9%	99.3	FUN
	_Vs Conference	39	15	20	1	1	2	0	3.56	3.56	0.00	37	0.474	3.6	5.9	9.4	2	1	79	81	63	9	30.5	685	714	624	41	31.7	9.3	7.41	22.0	3.00	0.64	21.37%	2.97	0.41	86.21%	1	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	38.23	25.56	38.72	12.54	22.26	11.15	48.1%	11.7%	88.8%	100.4	FUN
	_Since Last GM Reset	64	25	32	2	1	3	1	3.56	3.73	-0.17	62	0.484	3.6	6.0	9.6	3	1	79	81	63	9	31.9	685	714	624	41	32.4	9.5	7.28	22.0	3.09	0.72	23.23%	3.02	0.53	82.38%	2	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	23.30	15.58	23.59	7.64	13.56	6.80	47.0%	11.2%	88.5%	99.6	FUN
	Total	64	25	32	2	1	3	1	3.56	3.73	-0.17	62	0.484	3.6	6.0	9.6	3	1	79	81	63	9	31.9	685	714	624	41	32.4	9.5	7.28	22.0	3.09	0.72	23.23%	3.02	0.53	82.38%	2	1078	2214	48.69%	1095	2245	48.78%	574	1130	50.80%	23.30	15.58	23.59	7.64	13.56	6.80	47.0%	11.2%	88.5%	99.6	FUN

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	2214
Neutral Zone Start	1130
Defensive Zone Start	2245

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	2747
Faceoffs Lost	2842

	Team Average Shots after	League Average Shots after
1st Period	10.7	9.57
2nd Period	21.9	20.31
3rd Period	31.6	30.68
Overtime	32.3	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.2	0.64
2nd Period	2.5	1.65
3rd Period	3.5	2.67
Overtime	3.6	2.83


Even Strenght Goal	177
PP Goal	46
PK Goal	2
Empty Net Goal	3

	Home	Away
Win	17	13
Lost	17	15
Overtime Lost	1	1


PP Attempt	198
PP Goal	46
PK Attempt	193
PK Goal Against	34

	Home
Shots For	31.9
Shots Against	32.4
Goals For	3.6
Goals Against	3.7
Hits	22.0
Shots Blocked	9.5
Pim	7.3

Schedule

Date	Matchup			Result	Detail
1	BAR	@	RAV	BAR1,RAV4	RECAP
4	BAR	@	PIM	BAR2,PIM4	RECAP
6	BAR	@	SEN	BAR2,SEN4	RECAP
8	BAR	@	KAN	BAR6,KAN5	RECAP
11	BAR	@	GRG	BAR5,GRG4	RECAP
14	RAV	@	BAR	RAV6,BAR4	RECAP
18	GRG	@	BAR	GRG3,BAR4	RECAP
19	BKS	@	BAR	BKS5,BAR4	RECAP
21	SPA	@	BAR	SPA9,BAR5	RECAP
24	BAR	@	DEV	BAR2,DEV3	RECAP
28	BAR	@	RAV	BAR4,RAV3 (OT)	RECAP
30	SEN	@	BAR	SEN6,BAR3	RECAP
31	SHO	@	BAR	SHO5,BAR2	RECAP
33	PIM	@	BAR	PIM5,BAR3	RECAP
34	BKS	@	BAR	BKS2,BAR6	RECAP
36	BAR	@	BKS	BAR1,BKS2	RECAP
37	SHA	@	BAR	SHA6,BAR5	RECAP
39	ZOL	@	BAR	ZOL6,BAR4	RECAP
42	BAR	@	EAG	BAR3,EAG8	RECAP
44	BAR	@	SAI	BAR3,SAI5	RECAP
46	BAR	@	WPK	BAR3,WPK4	RECAP
50	BAR	@	SQU	BAR4,SQU1	RECAP
53	BAR	@	VEN	BAR0,VEN5	RECAP
56	BAR	@	VIK	BAR4,VIK1	RECAP
59	CHE	@	BAR	CHE3,BAR5	RECAP
60	JWO	@	BAR	JWO3,BAR5	RECAP
62	DEV	@	BAR	DEV3,BAR2 (OT)	RECAP
63	KAN	@	BAR	KAN2,BAR4	RECAP
65	EAG	@	BAR	EAG2,BAR3 (SO)	RECAP
66	IND	@	BAR	IND4,BAR3	RECAP
68	SQU	@	BAR	SQU5,BAR3	RECAP
70	BKS	@	BAR	BKS4,BAR1	RECAP
72	ASS	@	BAR	ASS5,BAR1	RECAP
74	PIM	@	BAR	PIM5,BAR3	RECAP
75	BUL	@	BAR	BUL2,BAR3	RECAP
77	OHK	@	BAR	OHK3,BAR2	RECAP
82	WPK	@	BAR	WPK4,BAR2	RECAP
84	KAN	@	BAR	KAN0,BAR4	RECAP
86	DEV	@	BAR	DEV4,BAR2	RECAP
88	THI	@	BAR	THI5,BAR6	RECAP
90	JWO	@	BAR	JWO1,BAR4	RECAP
92	CAN	@	BAR	CAN9,BAR7	RECAP
93	BLA	@	BAR	BLA3,BAR6	RECAP
100	BAR	@	ZOL	BAR4,ZOL5	RECAP
102	BAR	@	CAN	BAR7,CAN2	RECAP
104	VIK	@	BAR	VIK1,BAR2	RECAP
106	SAI	@	BAR	SAI4,BAR5 (OT)	RECAP
109	PIM	@	BAR	PIM2,BAR5	RECAP
110	DEV	@	BAR	DEV3,BAR5	RECAP
114	BAR	@	IND	BAR4,IND3 (SO)	RECAP
116	BAR	@	JWO	BAR4,JWO6	RECAP
119	BAR	@	OHK	BAR3,OHK2	RECAP
121	BAR	@	SAI	BAR1,SAI2 (SO)	RECAP
125	BAR	@	BKS	BAR5,BKS3	RECAP
126	BAR	@	DEV	BAR1,DEV3	RECAP
130	RAV	@	BAR	RAV4,BAR5 (SO)	RECAP
133	BAR	@	BUL	BAR3,BUL2	RECAP
135	BAR	@	THI	BAR6,THI3	RECAP
138	IND	@	BAR	IND4,BAR5	RECAP
140	BAR	@	BUL	BAR1,BUL3	RECAP
142	BAR	@	BLA	BAR7,BLA2	RECAP
144	BAR	@	SPA	BAR5,SPA4	RECAP
146	BAR	@	PIM	BAR2,PIM5	RECAP
149	BAR	@	ASS	BAR2,ASS3	RECAP
152	NIN	@	BAR
154	VEN	@	BAR
156	BKS	@	BAR
159	BAR	@	CHE
162	BAR	@	CAN
163	BAR	@	SHA
Trade Deadline --- Trades can�t be done after this day is simulated!
165	BAR	@	SEN
169	BAR	@	SHO
171	BAR	@	BLA
172	BAR	@	NIN
177	RAV	@	BAR
179	JWO	@	BAR
184	BAR	@	KAN
185	BAR	@	ASS
187	BAR	@	JWO
189	BAR	@	CAN
191	BAR	@	NIN
194	CAN	@	BAR

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,400,328$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	56847	28776
Attendance PCT	81.21%	82.22%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
6	2446 - 81.55%	69,180$	2,421,285$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,400,328$	2,400,328$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,857,492$	12,141$	1,829,785$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
415,077$	45	12,373$	556,785$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
556,785$	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

Adam Ingram is suspended indefinitely.

Game Center

Barracudas30-32-2, 62pts

25Final

Pimps40-17-7, 87pts

Barracudas30-32-2, 62pts

23Final

Assassins47-12-4, 98pts

Barracudas30-32-2, 62pts

Fri, May 08

Assassins47-12-4, 98pts

Barracudas30-32-2, 62pts

Sun, Dec 14

Pimps40-17-7, 87pts

Barracudas30-32-2, 62pts

Tue, Dec 16

Senators33-27-3, 69pts

TRANSACTIONS

Team Info


	Head Coach
	Division	Howe
	City	Saskatchewan
	Stadium Capacity	3,000

Barracudas Affiliation


	General Manager	Nathan Erb
	Head Coach
	Stadium
	Capacity	18,000

Team Leaders

GOALS Matt Rempe Barracudas	27 GOALS
POINTS Matt Rempe Barracudas	51 POINTS
WINS Arturs Silovs Barracudas	13 WINS
Expanded Player Leaderboard

Team Stats

Goals For 228 3.56 GFG	Goals Against 239 3.73 GAA
Power Play Percentage 23.2% 46 GF	Penalty Kill Percentage 82.4% 34 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain