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
Cody Glass	87	C/RW	98.00	69	40	88	77	76	59	78	64	80	67	63	76	63	61	58	71	75	71	26	2,500,000$/1yrs
Maxim Beryozkin (R)	0	LW/RW	100.00	67	77	88	64	77	55	85	59	80	55	60	62	57	46	46	66	75	66	23	500,000$/4yrs
Jakob Pelletier	19	C/LW	100.00	68	45	85	71	60	56	74	64	58	66	64	68	55	58	58	65	75	65	24	800,000$/1yrs
Florian Xhekaj (R)	0	C/LW	100.00	64	77	56	65	77	56	84	58	75	53	58	57	54	36	36	65	75	65	21	500,000$/2yrs
Taylor Ward (R)	0	RW	100.00	66	72	80	64	72	55	85	56	52	48	59	57	55	38	38	64	75	64	27	775,000$/1yrs
Hendrix Lapierre	29	C	100.00	62	50	81	73	67	57	66	62	68	67	57	62	55	58	57	60	75	60	23	863,334$/1yrs
Ivan Miroshnichenko (R)	0	LW	100.00	61	57	77	69	69	62	81	62	55	63	64	67	55	55	55	60	75	60	21	725,000$/1yrs
Nico Myatovic (R)	0	C/LW	100.00	66	70	90	63	71	53	76	54	48	47	57	51	53	39	39	60	75	60	20	725,000$/2yrs
Haydn Fleury	24	D	100.00	64	40	89	78	79	64	47	56	40	65	55	81	54	63	59	68	75	68	28	450,000$/1yrs
Jacob Bernard-Docker	0	D	100.00	61	66	86	68	73	58	48	57	40	64	58	77	54	58	58	64	75	64	24	805,000$/1yrs
Yan Kuznetsov (R)	0	D	100.00	65	78	79	64	78	55	85	48	25	39	41	71	39	37	37	63	75	63	23	775,000$/1yrs
Tarmo Reunanen (R)	0	D	100.00	65	71	86	65	71	57	85	52	25	46	42	63	40	40	40	62	75	62	27	450,000$/3yrs
Jack Thompson (R)	0	D	100.00	57	48	79	71	70	63	64	59	41	63	60	70	55	57	57	61	75	61	23	828,333$/1yrs
Dmitri Simashev (R)	0	D	100.00	65	77	84	64	77	53	82	45	25	35	40	69	38	39	39	61	75	61	20	875,000$/2yrs
Ethan Del Mastro (R)	0	D	100.00	59	50	75	62	80	67	80	58	41	61	57	72	55	56	56	60	75	60	22	855,833$/2yrs
Quinton Burns (R)	0	D	100.00	65	74	64	65	74	53	84	48	25	39	40	62	38	35	35	60	75	60	20	550,000$/2yrs
Scratches
Connor Zary	47	C/LW/RW	85.09	71	40	88	81	66	64	65	69	60	66	72	68	54	57	58	71	75	71	23	863,334$/1yrs
Hunter Haight (R)	0	C/RW	94.18	65	64	89	63	64	56	86	58	45	53	60	47	57	38	38	64	75	64	21	625,000$/1yrs
Andre Lee (R)	0	C/LW	100.00	59	61	74	71	79	61	76	58	55	61	58	65	55	60	58	58	75	58	24	775,000$/1yrs
Alexander Kisakov (R)	0	C/LW	100.00	64	61	85	64	61	56	55	55	25	47	58	54	54	36	36	58	75	58	22	859,176$/1yrs
Zach Dean (R)	0	C	100.00	66	65	92	63	65	54	58	52	41	48	50	68	48	37	37	58	75	58	22	852,500$/2yrs
Alexander Perevalov (R)	0	LW	100.00	66	68	93	62	68	52	62	53	39	46	53	50	49	35	35	57	75	57	21	550,000$/1yrs
Raivis Ansons (R)	0	LW/RW	100.00	65	69	71	63	69	51	53	48	32	42	47	65	45	35	35	56	75	56	23	844,167$/1yrs
Chase Cheslock (R)	0	D	100.00	65	76	80	63	76	53	73	47	25	37	40	65	38	32	32	59	75	59	20	450,000$/2yrs
Samuel Bolduc (R)	0	D	100.00	65	77	83	68	77	59	82	52	25	45	47	47	45	42	42	58	75	58	24	800,000$/1yrs
Tyson Jugnauth (R)	0	D	100.00	65	65	82	65	65	56	81	51	25	45	41	52	39	36	36	58	75	58	21	500,000$/1yrs
Libor Hajek (R)	0	D	100.00	65	75	75	63	76	52	77	46	25	36	40	59	38	46	46	57	75	57	27	450,000$/3yrs
Axel Landen (R)	0	D	100.00	65	70	81	64	70	51	82	45	25	34	40	58	38	32	32	57	75	57	20	475,000$/2yrs
Konnor Smith (R)	0	D	100.00	65	78	77	65	79	54	59	47	25	37	41	59	39	38	38	57	75	57	20	550,000$/2yrs
Noah Warren (R)	0	D	100.00	65	78	78	63	78	51	78	44	25	32	39	55	37	37	37	57	75	57	20	725,000$/1yrs
Artyom Guryev (R)	0	LW/RWD	100.00	67	77	78	63	78	52	64	46	48	40	45	44	43	34	34	56	75	56	22	860,000$/2yrs
Artyom Grushnikov (R)	0	D	100.00	65	73	83	64	73	53	72	44	25	32	39	55	37	38	38	56	75	56	22	814,167$/2yrs
Kasper Kulonummi (R)	0	D	100.00	65	66	85	64	66	53	75	47	25	38	42	51	40	32	32	56	75	56	21	550,000$/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
Petr Kvaca	0	96.50	68	76	66	59	68	75	68	68	68	68	61	42	42	62	75	62	27	500,000$/2yrs
Trent Miner	0	100.00	63	77	66	59	63	70	63	63	63	63	56	42	42	58	75	58	24	775,000$/1yrs
Scratches
Rudy Guimond	0	100.00	58	61	59	66	58	65	58	58	58	58	51	33	33	53	75	53	20	450,000$/2yrs
Ty Young	0	100.00	54	71	63	67	54	61	54	54	54	54	47	36	36	51	75	51	20	825,000$/3yrs

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	Cody Glass	Indians (BRA)	C/RW	51	21	46	67	11	16	0	73	226	76	173	9.29%	20	22.81	4	9	13	0	0	0	134	2	1	59.88%	1361	1	1.15	1	5
2	Connor Zary	Indians (BRA)	C/LW/RW	44	37	29	66	24	24	0	61	258	72	184	14.34%	14	22.11	4	5	9	0	0	0	104	7	3	52.36%	254	3	1.36	1	5
3	Jakob Pelletier	Indians (BRA)	C/LW	62	24	33	57	-4	20	0	72	249	83	191	9.64%	16	20.73	2	6	8	0	2	2	103	5	1	48.08%	884	0	0.89	1	2
4	Maxim Beryozkin	Indians (BRA)	LW/RW	62	19	24	43	18	25	15	69	133	37	91	14.29%	8	20.12	3	2	5	1	0	1	121	2	3	60.50%	200	0	0.69	1	4
5	Hendrix Lapierre	Indians (BRA)	C	60	12	27	39	4	14	0	51	135	49	104	8.89%	11	15.67	1	1	2	0	0	0	21	0	0	53.90%	666	0	0.83	0	0
6	Haydn Fleury	Indians (BRA)	D	53	8	31	39	2	8	0	64	90	43	80	8.89%	59	20.07	6	9	15	0	0	0	121	1	0	100.00%	1	0	0.73	0	0
7	Jacob Bernard-Docker	Indians (BRA)	D	54	13	20	33	-5	24	0	67	96	34	58	13.54%	53	19.31	6	7	13	0	0	0	124	2	0	33.33%	3	0	0.63	0	0
8	Tarmo Reunanen	Indians (BRA)	D	62	8	25	33	24	22	0	95	48	22	58	16.67%	68	19.23	2	3	5	1	1	2	137	1	0	0.00%	0	0	0.55	0	0
9	Florian Xhekaj	Indians (BRA)	C/LW	61	11	18	29	-8	52	10	137	154	40	94	7.14%	8	19.65	2	1	3	0	0	0	63	1	1	61.08%	794	0	0.48	1	2
10	Ivan Miroshnichenko	Indians (BRA)	LW	41	12	17	29	-4	12	0	50	123	31	81	9.76%	9	13.78	1	4	5	0	0	0	16	3	0	53.85%	52	0	1.03	0	0
11	Hunter Haight	Indians (BRA)	C/RW	62	11	15	26	-6	16	0	65	107	24	81	10.28%	1	17.31	1	0	1	0	0	0	5	2	2	42.75%	414	0	0.48	0	0
12	Jack Thompson	Indians (BRA)	D	48	3	19	22	-2	4	0	27	41	15	28	7.32%	30	11.67	0	1	1	0	0	0	29	0	0	50.00%	4	0	0.79	0	0
13	Dmitri Simashev	Indians (BRA)	D	62	2	20	22	14	28	0	74	39	20	31	5.13%	45	13.72	0	2	2	0	0	0	57	0	0	100.00%	1	0	0.52	0	0
14	Taylor Ward	Indians (BRA)	RW	62	13	8	21	8	12	0	82	112	32	85	11.61%	7	17.81	1	2	3	0	0	0	26	1	0	50.41%	123	1	0.38	0	0
15	Yan Kuznetsov	Indians (BRA)	D	60	3	17	20	6	45	5	96	71	21	39	4.23%	85	19.08	0	4	4	0	0	0	123	0	0	0.00%	1	0	0.35	0	0
16	Nico Myatovic	Indians (BRA)	C/LW	62	10	9	19	-13	22	0	59	69	11	56	14.49%	4	15.82	0	3	3	0	0	0	7	0	1	45.11%	532	0	0.39	0	0
17	Quinton Burns	Indians (BRA)	D	60	1	10	11	-9	44	0	82	25	5	19	4.00%	25	11.44	0	1	1	0	0	0	20	0	0	0.00%	1	0	0.32	0	0
18	Ethan Del Mastro	Indians (BRA)	D	29	3	5	8	0	6	0	19	21	5	16	14.29%	23	10.98	0	0	0	0	0	0	9	0	0	0.00%	1	0	0.50	0	0
19	Chase Cheslock	Indians (BRA)	D	52	1	4	5	-4	26	0	39	32	4	15	3.13%	26	10.15	0	0	0	0	1	1	3	0	0	0.00%	0	0	0.19	0	0
20	Tyson Jugnauth	Indians (BRA)	D	28	0	2	2	2	0	0	3	0	0	2	0.00%	1	1.97	0	0	0	0	0	0	3	0	0	100.00%	1	0	0.73	0	0
21	Andre Lee	Indians (BRA)	C/LW	14	1	0	1	2	0	0	8	15	2	6	6.67%	1	8.42	0	0	0	0	0	0	13	1	0	66.67%	72	0	0.17	0	0
22	Alexander Kisakov	Indians (BRA)	C/LW	4	1	0	1	0	0	0	4	4	4	3	25.00%	0	12.07	0	0	0	0	0	0	0	0	0	0.00%	4	0	0.41	0	0
23	Zach Dean	Indians (BRA)	C	6	1	0	1	-1	0	0	2	4	3	1	25.00%	0	3.61	1	0	1	0	0	0	0	0	0	75.00%	4	0	0.92	0	0
24	Samuel Bolduc	Indians (BRA)	D	11	0	0	0	-3	4	0	5	3	1	1	0.00%	4	9.63	0	0	0	0	0	0	4	0	0	0.00%	0	0	0.00	0	0
25	Raivis Ansons	Indians (BRA)	LW/RW	3	0	0	0	0	2	0	8	4	2	2	0.00%	1	16.32	0	0	0	0	0	0	1	0	0	100.00%	1	0	0.00	0	0
Team Total or Average			1113	215	379	594	56	426	30	1312	2059	636	1499	10.44%	519	16.46	34	60	94	1710	2	4	6	1252	28	12	54.02%	5374	5	0.65	5	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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Petr Kvaca	Indians (BRA)	57	28	22	6	0.892	3.25	3375	8	2	183	1696	0	0.625	16	57	2	5	2	1
2	Rudy Guimond	Indians (BRA)	6	1	2	2	0.873	4.02	328	0	0	22	173	0	0.333	3	5	12	1	0	0
3	Ty Young	Indians (BRA)	1	1	0	0	1.000	0.00	9	0	0	0	1	0	0.000	0	0	5	0	0	0
4	Trent Miner	Indians (BRA)	2	0	0	0	1.000	0.00	46	0	0	0	21	0	0.000	0	0	43	0	0	0
Team Total or Average		66	30	24	8	0.892	3.27	3759	8	2	205	1891	0	0.579	19	62	62	6	2	1

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22
Alexander Kisakov	C/LW	22	859,176$	859,176$
Alexander Perevalov	LW	21	550,000$	550,000$
Andre Lee	C/LW	24	775,000$	775,000$	RFA
Artyom Grushnikov	D	22	814,167$	814,167$	814,167$
Artyom Guryev	LW/RW/D	22	860,000$	860,000$	860,000$
Axel Landen	D	20	475,000$	475,000$	475,000$
Chase Cheslock	D	20	450,000$	450,000$	450,000$
Cody Glass	C/RW	26	2,500,000$	2,500,000$	RFA
Connor Zary	C/LW/RW	23	863,334$	863,334$	RFA
Dmitri Simashev	D	20	875,000$	875,000$	875,000$
Ethan Del Mastro	D	22	855,833$	855,833$	855,833$
Florian Xhekaj	C/LW	21	500,000$	500,000$	500,000$
Haydn Fleury	D	28	450,000$	450,000$	RFA
Hendrix Lapierre	C	23	863,334$	863,334$
Hunter Haight	C/RW	21	625,000$	625,000$
Ivan Miroshnichenko	LW	21	725,000$	725,000$
Jack Thompson	D	23	828,333$	828,333$
Jacob Bernard-Docker	D	24	805,000$	805,000$	RFA
Jakob Pelletier	C/LW	24	800,000$	800,000$	RFA
Kasper Kulonummi	D	21	550,000$	550,000$
Konnor Smith	D	20	550,000$	550,000$	550,000$
Libor Hajek	D	27	450,000$	450,000$	450,000$	450,000$	RFA
Maxim Beryozkin	LW/RW	23	500,000$	500,000$	500,000$	500,000$	500,000$	RFA
Nico Myatovic	C/LW	20	725,000$	725,000$	725,000$
Noah Warren	D	20	725,000$	725,000$
Petr Kvaca	G	27	500,000$	500,000$	500,000$	RFA
Quinton Burns	D	20	550,000$	550,000$	550,000$
Raivis Ansons	LW/RW	23	844,167$	844,167$
Rudy Guimond	G	20	450,000$	450,000$	450,000$
Samuel Bolduc	D	24	800,000$	800,000$	RFA
Tarmo Reunanen	D	27	450,000$	450,000$	450,000$	450,000$	RFA
Taylor Ward	RW	27	775,000$	775,000$	RFA
Trent Miner	G	24	775,000$	775,000$	RFA
Ty Young	G	20	825,000$	825,000$	825,000$	825,000$
Tyson Jugnauth	D	21	500,000$	500,000$
Yan Kuznetsov	D	23	775,000$	775,000$
Zach Dean	C	22	852,500$	852,500$	852,500$

Lines

Forward Lines
# - Cody Glass	# - Maxim Beryozkin
# - Jakob Pelletier	# - Florian Xhekaj
# - Ivan Miroshnichenko	# - Nico Myatovic	# - Taylor Ward
# - Cody Glass	# - Hendrix Lapierre

Defensive Pairings
# - Haydn Fleury	# - Jacob Bernard-Docker
# - Yan Kuznetsov	# - Tarmo Reunanen
# - Dmitri Simashev	# - Jack Thompson

1st Power Play Unit
# - Cody Glass		# - Maxim Beryozkin
# - Haydn Fleury			# - Jacob Bernard-Docker

2nd Power Play Unit
# - Jakob Pelletier		# - Florian Xhekaj
# - Yan Kuznetsov			# - Tarmo Reunanen

Goalies
# - Petr Kvaca		# - Trent Miner

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	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	0	2	0	0	0	0	2.50	4.50	-2.00	0	0.000	2.5	5.0	7.5	0	86	69	58	8	29.5	700	718	616	54	41.5	12.0	9.00	19.0	3.00	1.00	33.33%	4.50	1.00	77.78%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	760.00	513.50	694.00	239.00	429.00	217.50	30.0%	8.5%	89.2%	97.6	Unlucky
2	Ninjas	4	2	0	1	1	0	0	2.50	1.50	1.00	7	0.875	2.5	4.8	7.3	0	86	69	58	8	35.0	700	718	616	54	26.0	6.0	6.25	20.5	4.25	0.25	5.88%	2.00	0.00	100.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	380.00	256.75	347.00	119.50	214.50	108.75	60.0%	7.1%	94.2%	101.4	DULL
3	Junior Wolves	2	1	0	0	1	0	0	4.00	3.50	0.50	3	0.750	4.0	8.0	12.0	1	86	69	58	8	37.5	700	718	616	54	31.0	8.5	7.00	18.0	2.50	0.00	0.00%	3.50	1.00	71.43%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	760.00	513.50	694.00	239.00	429.00	217.50	61.5%	10.7%	88.7%	99.4	FUN
4	Bulldogs	3	3	0	0	0	0	0	5.67	3.00	2.67	6	1.000	5.7	10.7	16.3	0	86	69	58	8	33.3	700	718	616	54	28.7	6.7	4.00	23.7	3.00	1.00	33.33%	2.00	0.33	83.33%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	506.67	342.33	462.67	159.33	286.00	145.00	63.6%	17.0%	89.5%	106.5	FUN
5	Shockers	2	0	2	0	0	0	0	5.00	7.50	-2.50	0	0.000	5.0	9.0	14.0	0	86	69	58	8	28.5	700	718	616	54	41.0	13.5	11.00	21.5	3.50	0.00	0.00%	5.00	2.00	60.00%	1	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	760.00	513.50	694.00	239.00	429.00	217.50	47.6%	17.5%	81.7%	99.3	FUN
6	Gargoyles	2	1	1	0	0	0	0	3.00	3.00	0.00	2	0.500	3.0	5.5	8.5	0	86	69	58	8	35.5	700	718	616	54	24.5	8.0	11.50	21.5	3.50	0.00	0.00%	3.50	1.50	57.14%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	760.00	513.50	694.00	239.00	429.00	217.50	66.7%	8.5%	87.8%	96.2	Unlucky
7	Sailors	2	0	2	0	0	0	0	1.00	3.50	-2.50	0	0.000	1.0	1.5	2.5	0	86	69	58	8	22.5	700	718	616	54	38.0	11.0	13.50	25.5	1.00	0.00	0.00%	5.50	1.00	81.82%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	760.00	513.50	694.00	239.00	429.00	217.50	28.6%	4.4%	90.8%	95.2	Unlucky
8	Devils	2	1	0	0	0	0	1	3.00	3.00	0.00	3	0.750	3.0	6.0	9.0	0	86	69	58	8	31.0	700	718	616	54	35.5	12.0	11.00	23.5	2.50	0.50	20.00%	4.50	0.50	88.89%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	760.00	513.50	694.00	239.00	429.00	217.50	50.0%	9.7%	91.5%	101.2	LUCKY
9	Eagles	2	1	1	0	0	0	0	3.00	2.00	1.00	2	0.500	3.0	5.0	8.0	0	86	69	58	8	39.0	700	718	616	54	24.0	9.0	5.00	20.5	5.00	1.50	30.00%	2.50	0.00	100.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	760.00	513.50	694.00	239.00	429.00	217.50	42.9%	7.7%	91.7%	99.4	DULL
10	Ravens	1	0	1	0	0	0	0	0.00	1.00	-1.00	0	0.000	0.0	0.0	0.0	0	86	69	58	8	29.0	700	718	616	54	24.0	11.0	4.00	22.0	3.00	0.00	0.00%	2.00	1.00	50.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	1,520.00	1,027.00	1,388.00	478.00	858.00	435.00	nan%	0.0%	95.8%	95.8	DULL
11	Venom	1	0	1	0	0	0	0	2.00	4.00	-2.00	0	0.000	2.0	4.0	6.0	0	86	69	58	8	34.0	700	718	616	54	39.0	4.0	8.00	21.0	2.00	0.00	0.00%	4.00	0.00	100.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	1,520.00	1,027.00	1,388.00	478.00	858.00	435.00	33.3%	5.9%	89.7%	95.6	Unlucky
12	Squirrels	2	0	2	0	0	0	0	2.00	4.00	-2.00	0	0.000	2.0	3.5	5.5	0	86	69	58	8	34.0	700	718	616	54	35.5	8.5	6.00	22.5	3.50	0.50	14.29%	2.50	1.00	60.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	760.00	513.50	694.00	239.00	429.00	217.50	33.3%	5.9%	88.7%	94.6	Unlucky
13	Blades	4	2	1	0	1	0	0	4.25	3.75	0.50	5	0.625	4.3	7.3	11.5	0	86	69	58	8	30.8	700	718	616	54	29.0	8.8	6.00	19.8	3.00	0.00	0.00%	2.50	0.00	100.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	380.00	256.75	347.00	119.50	214.50	108.75	53.1%	13.8%	87.1%	100.9	FUN
14	Sharknado	3	1	1	0	0	1	0	3.67	3.00	0.67	4	0.667	3.7	6.0	9.7	0	86	69	58	8	32.7	700	718	616	54	36.7	7.0	6.00	22.7	0.33	0.00	0.00%	3.00	0.33	88.89%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	506.67	342.33	462.67	159.33	286.00	145.00	57.9%	11.2%	91.8%	103.0	LUCKY
15	Barking Spiders	1	0	1	0	0	0	0	2.00	3.00	-1.00	0	0.000	2.0	3.0	5.0	0	86	69	58	8	24.0	700	718	616	54	31.0	6.0	8.00	24.0	4.00	2.00	50.00%	4.00	1.00	75.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	1,520.00	1,027.00	1,388.00	478.00	858.00	435.00	0.0%	8.3%	90.3%	98.7	Unlucky
16	Space Invaders	1	0	0	0	0	1	0	6.00	5.00	1.00	2	1.000	6.0	10.0	16.0	0	86	69	58	8	43.0	700	718	616	54	31.0	8.0	4.00	26.0	4.00	0.00	0.00%	2.00	0.00	100.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	1,520.00	1,027.00	1,388.00	478.00	858.00	435.00	54.5%	14.0%	83.9%	97.8	FUN
17	Checkers	1	0	1	0	0	0	0	3.00	4.00	-1.00	0	0.000	3.0	6.0	9.0	0	86	69	58	8	40.0	700	718	616	54	24.0	11.0	8.00	10.0	4.00	3.00	75.00%	3.00	0.00	100.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	1,520.00	1,027.00	1,388.00	478.00	858.00	435.00	0.0%	7.5%	83.3%	90.8	Unlucky
18	Vikings	2	1	1	0	0	0	0	4.50	3.50	1.00	2	0.500	4.5	8.0	12.5	0	86	69	58	8	28.5	700	718	616	54	33.5	6.0	5.00	20.5	1.50	0.50	33.33%	2.50	0.50	80.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	760.00	513.50	694.00	239.00	429.00	217.50	57.1%	15.8%	89.6%	105.3	FUN
19	Kangaroos	4	4	0	0	0	0	0	5.75	3.00	2.75	8	1.000	5.8	8.8	14.5	0	86	69	58	8	39.0	700	718	616	54	26.0	8.5	5.00	20.8	4.00	1.25	31.25%	2.50	0.75	70.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	380.00	256.75	347.00	119.50	214.50	108.75	66.7%	14.7%	88.5%	103.2	FUN
20	Thistles	1	1	0	0	0	0	0	5.00	4.00	1.00	2	1.000	5.0	10.0	15.0	0	86	69	58	8	28.0	700	718	616	54	21.0	8.0	12.00	20.0	3.00	0.00	0.00%	5.00	2.00	60.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	1,520.00	1,027.00	1,388.00	478.00	858.00	435.00	71.4%	17.9%	81.0%	98.8	FUN
21	Barracudas	3	1	1	0	0	0	1	3.67	4.00	-0.33	3	0.500	3.7	6.7	10.3	0	86	69	58	8	34.0	700	718	616	54	27.0	6.3	7.67	22.7	4.67	0.67	14.29%	2.33	0.67	71.43%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	506.67	342.33	462.67	159.33	286.00	145.00	47.4%	10.8%	85.2%	96.0	FUN
22	Senators	4	3	1	0	0	0	0	4.00	3.00	1.00	6	0.750	4.0	6.5	10.5	0	86	69	58	8	30.5	700	718	616	54	30.8	7.8	8.50	21.5	4.75	1.25	26.32%	3.00	0.75	75.00%	1	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	380.00	256.75	347.00	119.50	214.50	108.75	55.0%	13.1%	90.2%	103.4	FUN
23	Pimps	2	0	1	1	0	0	0	3.00	3.50	-0.50	2	0.500	3.0	5.0	8.0	0	86	69	58	8	40.5	700	718	616	54	39.5	8.5	3.00	24.0	2.00	0.00	0.00%	1.50	0.00	100.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	760.00	513.50	694.00	239.00	429.00	217.50	46.2%	7.4%	91.1%	98.5	Unlucky
24	Wolf Pack	2	1	1	0	0	0	0	2.00	3.00	-1.00	2	0.500	2.0	3.5	5.5	0	86	69	58	8	31.0	700	718	616	54	32.0	6.0	10.00	19.0	2.50	0.00	0.00%	4.50	0.50	88.89%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	760.00	513.50	694.00	239.00	429.00	217.50	44.4%	6.5%	90.6%	97.1	Unlucky
25	Assassins	6	0	2	1	1	0	2	3.17	4.17	-1.00	5	0.417	3.2	5.5	8.7	0	86	69	58	8	36.8	700	718	616	54	27.0	7.7	5.00	19.7	3.67	0.50	13.64%	2.33	0.33	85.71%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	253.33	171.17	231.33	79.67	143.00	72.50	41.0%	8.6%	84.6%	93.2	Unlucky
26	Huskies	3	2	1	0	0	0	0	3.33	2.00	1.33	4	0.667	3.3	6.0	9.3	1	86	69	58	8	31.7	700	718	616	54	27.7	11.7	7.33	21.7	3.33	0.67	20.00%	3.33	0.33	90.00%	0	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	506.67	342.33	462.67	159.33	286.00	145.00	61.5%	10.5%	92.8%	103.3	LUCKY
	_Vs Division	25	14	4	2	3	0	2	4.08	3.16	0.92	37	0.740	4.1	7.0	11.0	0	86	69	58	8	34.5	700	718	616	54	27.8	7.6	5.80	20.8	3.80	0.68	17.89%	2.40	0.36	85.00%	1	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	60.80	41.08	55.52	19.12	34.32	17.40	54.8%	11.8%	88.6%	100.5	FUN
	_Vs Conference	39	19	9	3	4	0	4	3.72	3.10	0.62	52	0.667	3.7	6.5	10.2	2	86	69	58	8	34.1	700	718	616	54	28.9	8.2	6.26	21.3	3.59	0.62	17.14%	2.62	0.44	83.33%	1	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	38.97	26.33	35.59	12.26	22.00	11.15	53.8%	10.9%	89.3%	100.2	FUN
	_Since Last GM Reset	62	25	24	3	4	2	4	3.52	3.37	0.15	68	0.548	3.5	6.2	9.7	2	86	69	58	8	33.4	700	718	616	54	30.5	8.4	7.03	21.2	3.24	0.55	16.92%	3.00	0.56	81.18%	2	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	24.52	16.56	22.39	7.71	13.84	7.02	51.4%	10.5%	88.9%	99.5	FUN
	Total	62	25	24	3	4	2	4	3.52	3.37	0.15	68	0.548	3.5	6.2	9.7	2	86	69	58	8	33.4	700	718	616	54	30.5	8.4	7.03	21.2	3.24	0.55	16.92%	3.00	0.56	81.18%	2	1226	2226	55.08%	1152	2107	54.67%	567	1042	54.41%	24.52	16.56	22.39	7.71	13.84	7.02	51.4%	10.5%	88.9%	99.5	FUN

	Puck Time
Offensive Zone	24
Neutral Zone	13
Defensive Zone	22

	Puck Time
Offensive Zone Start	2226
Neutral Zone Start	1042
Defensive Zone Start	2107

	Puck Time
With Puck	31
Without Puck	29

	Faceoffs
Faceoffs Won	2945
Faceoffs Lost	2430

	Team Average Shots after	League Average Shots after
1st Period	11.3	9.57
2nd Period	22.9	20.31
3rd Period	32.8	30.68
Overtime	33.7	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.4	0.64
2nd Period	2.5	1.65
3rd Period	3.4	2.67
Overtime	3.6	2.83


Even Strenght Goal	182
PP Goal	34
PK Goal	2
Empty Net Goal	0

	Home	Away
Win	13	17
Lost	9	15
Overtime Lost	7	1


PP Attempt	201
PP Goal	34
PK Attempt	186
PK Goal Against	35

	Home
Shots For	33.4
Shots Against	30.5
Goals For	3.5
Goals Against	3.4
Hits	21.2
Shots Blocked	8.4
Pim	7.0

Schedule

Date	Matchup			Result	Detail
3	IND	@	SPA	IND6,SPA5 (SO)	RECAP
6	IND	@	ASS	IND1,ASS4	RECAP
8	SAI	@	IND	SAI3,IND2	RECAP
10	ASS	@	IND	ASS1,IND2 (OT)	RECAP
12	WPK	@	IND	WPK3,IND4	RECAP
14	IND	@	CAN	IND2,CAN1	RECAP
15	DEV	@	IND	DEV2,IND1 (SO)	RECAP
17	JWO	@	IND	JWO0,IND2	RECAP
21	SEN	@	IND	SEN5,IND3	RECAP
23	BUL	@	IND	BUL3,IND5	RECAP
24	SHA	@	IND	SHA3,IND2	RECAP
26	ASS	@	IND	ASS6,IND5 (SO)	RECAP
28	IND	@	JWO	IND6,JWO7 (OT)	RECAP
31	BLA	@	IND	BLA3,IND2	RECAP
33	KAN	@	IND	KAN1,IND3	RECAP
35	BLA	@	IND	BLA6,IND5 (OT)	RECAP
36	IND	@	ASS	IND3,ASS4	RECAP
38	IND	@	BUL	IND6,BUL4	RECAP
41	IND	@	KAN	IND8,KAN4	RECAP
43	IND	@	SHA	IND4,SHA3 (SO)	RECAP
44	ASS	@	IND	ASS4,IND3 (OT)	RECAP
46	IND	@	BLA	IND6,BLA4	RECAP
49	NIN	@	IND	NIN2,IND1 (OT)	RECAP
53	IND	@	SHA	IND5,SHA3	RECAP
56	IND	@	NIN	IND2,NIN1	RECAP
59	IND	@	RAV	IND0,RAV1	RECAP
62	IND	@	BKS	IND2,BKS3	RECAP
64	IND	@	DEV	IND5,DEV4	RECAP
66	IND	@	BAR	IND4,BAR3	RECAP
67	IND	@	CHE	IND3,CHE4	RECAP
70	OHK	@	IND	OHK4,IND1	RECAP
72	GRG	@	IND	GRG3,IND4	RECAP
74	CAN	@	IND	CAN5,IND4	RECAP
76	IND	@	CAN	IND4,CAN0	RECAP
77	ASS	@	IND	ASS6,IND5 (SO)	RECAP
80	IND	@	VEN	IND2,VEN4	RECAP
84	IND	@	SAI	IND0,SAI4	RECAP
90	IND	@	SQU	IND0,SQU2	RECAP
93	IND	@	EAG	IND1,EAG2	RECAP
98	IND	@	VIK	IND4,VIK5	RECAP
101	IND	@	OHK	IND4,OHK5	RECAP
103	IND	@	WPK	IND0,WPK3	RECAP
106	VIK	@	IND	VIK2,IND5	RECAP
107	SQU	@	IND	SQU6,IND4	RECAP
109	IND	@	THI	IND5,THI4	RECAP
111	SEN	@	IND	SEN1,IND4	RECAP
114	BAR	@	IND	BAR4,IND3 (SO)	RECAP
115	BUL	@	IND	BUL2,IND6	RECAP
117	SHO	@	IND	SHO7,IND6	RECAP
120	PIM	@	IND	PIM4,IND2	RECAP
123	EAG	@	IND	EAG2,IND5	RECAP
125	KAN	@	IND	KAN3,IND5	RECAP
127	IND	@	PIM	IND4,PIM3 (OT)	RECAP
129	IND	@	SEN	IND4,SEN2	RECAP
132	IND	@	GRG	IND2,GRG3	RECAP
135	NIN	@	IND	NIN2,IND3 (OT)	RECAP
138	IND	@	BAR	IND4,BAR5	RECAP
141	IND	@	BLA	IND4,BLA2	RECAP
142	IND	@	SEN	IND5,SEN4	RECAP
145	IND	@	NIN	IND4,NIN1	RECAP
148	KAN	@	IND	KAN4,IND7	RECAP
149	IND	@	SHO	IND4,SHO8	RECAP
151	IND	@	KAN
153	IND	@	BUL
155	IND	@	SEN
157	IND	@	PIM
159	ZOL	@	IND
161	RAV	@	IND
163	SPA	@	IND
Trade Deadline --- Trades can�t be done after this day is simulated!
165	DEV	@	IND
167	IND	@	CAN
168	BKS	@	IND
170	NIN	@	IND
171	CHE	@	IND
173	BLA	@	IND
175	THI	@	IND
176	BUL	@	IND
179	VEN	@	IND
182	IND	@	ZOL
186	BKS	@	IND
191	IND	@	JWO
194	IND	@	RAV

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,457,084$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	47612	23305
Attendance PCT	82.09%	80.36%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
12	2445 - 81.51%	69,517$	2,015,995$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,457,084$	2,457,084$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,854,829$	12,665$	1,813,502$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
834,205$	45	12,665$	569,925$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
569,925$	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

Kangaroos27-26-6, 60pts

47Final

Indians30-24-8, 68pts

48Final

Shockers37-23-2, 76pts

Indians30-24-8, 68pts

Fri, May 08

Shockers37-23-2, 76pts

Indians30-24-8, 68pts

Tue, Dec 16

Assassins47-12-4, 98pts

Sailors30-24-8, 68pts

Thu, Dec 18

Indians30-24-8, 68pts

TRANSACTIONS

Team Info


	Head Coach
	Division	Gretzky
	City	Creighton
	Stadium Capacity	3,000

Indians Affiliation


	General Manager	Gerald Tessier
	Head Coach
	Stadium	Stanley Stadium
	Capacity	18,000

Team Leaders

GOALS Connor Zary Indians	37 GOALS
POINTS Cody Glass Indians	67 POINTS
WINS Petr Kvaca Indians	28 WINS
Expanded Player Leaderboard

Team Stats

Goals For 218 3.52 GFG	Goals Against 209 3.37 GAA
Power Play Percentage 16.9% 34 GF	Penalty Kill Percentage 81.2% 35 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain