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
Jimmy Snuggerud (R)	0	RW	99.00	65	70	84	64	69	56	85	60	61	55	61	56	58	35	35	65	75	65	21	875,000$/1yrs
Henrik Rybinski (R)	0	C/LW/RW	100.00	66	69	88	63	69	55	77	59	66	57	57	59	54	42	42	64	75	64	24	859,167$/1yrs
Nick Lardis (R)	0	RW	100.00	65	66	91	63	66	56	81	60	57	56	60	52	57	36	36	63	75	63	19	725,000$/2yrs
Noah Laba (R)	0	C	100.00	66	71	81	64	71	55	72	56	57	48	59	54	55	34	34	62	75	62	21	500,000$/1yrs
Bulat Shafigullin (R)	0	LW/RW	100.00	65	67	89	63	67	54	82	56	41	48	58	54	55	41	41	62	75	62	25	450,000$/1yrs
Brayden Yager (R)	0	C/RW	100.00	65	63	89	63	63	55	70	56	45	54	53	47	50	40	40	60	75	60	20	875,000$/2yrs
Trevor Kuntar (R)	0	C/LW	100.00	65	73	69	63	73	52	81	50	50	46	47	51	45	38	38	59	75	59	24	867,500$/1yrs
Dominic James (R)	0	C/LW	100.00	65	68	86	64	68	54	68	55	41	47	58	51	55	34	34	59	75	59	22	475,000$/1yrs
Matthew Maggio (R)	0	RW	100.00	65	65	87	64	66	53	80	50	32	45	49	44	47	39	39	59	75	59	22	500,000$/1yrs
Austin Roest (R)	0	C/RW	100.00	64	64	80	64	64	55	76	54	32	47	57	53	54	37	37	59	75	59	21	500,000$/2yrs
Hudson Malinoski (R)	0	C	100.00	65	65	82	62	65	53	78	52	37	46	53	42	50	31	31	59	75	59	21	475,000$/1yrs
Hunter Brzustewicz (R)	0	D	100.00	65	70	88	65	70	58	87	51	25	45	41	55	39	36	36	61	75	61	20	725,000$/2yrs
Eamon Powell (R)	0	D	100.00	65	66	86	64	66	55	77	49	25	39	41	66	39	35	35	60	75	60	23	525,000$/2yrs
Brian Zanetti (R)	0	D	100.00	65	71	87	64	72	53	85	47	25	36	41	63	39	37	37	60	75	60	22	500,000$/1yrs
Luke Mittelstadt (R)	0	D	100.00	65	65	88	63	66	54	83	47	25	38	40	65	38	35	35	60	75	60	22	450,000$/1yrs
Donovan Sebrango (R)	0	D	100.00	65	75	64	65	75	56	67	51	25	42	46	56	44	39	39	58	75	58	23	828,333$/1yrs
David Jiricek (R)	0	D	100.00	61	40	81	62	78	55	49	53	40	65	58	74	54	56	58	58	75	58	21	875,000$/1yrs
Aiden Celebrini (R)	0	D	100.00	65	69	84	64	69	53	77	46	25	35	40	60	38	31	31	58	75	58	20	475,000$/1yrs
Scratches
Quentin Musty (R)	0	LW	77.50	67	73	87	63	73	56	69	59	70	55	61	46	58	35	35	63	75	63	19	875,000$/2yrs
Ryan Leonard (R)	0	C	100.00	65	80	74	72	70	60	81	54	51	58	62	61	54	54	58	57	75	57	20	875,000$/2yrs
Cameron MacDonald (R)	0	C/LW/RW	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	40	22	450,000$/1yrs
Helge Grans (R)	0	D	31.72	65	75	82	64	75	53	84	49	25	38	42	60	40	37	37	60	75	60	23	847,500$/1yrs
Jonathan Myrenberg (R)	0	D	100.00	65	73	83	65	73	51	71	43	25	31	39	60	37	34	34	57	75	57	22	475,000$/1yrs
Rodwin Dionicio (R)	0	D	100.00	65	73	65	65	73	56	60	52	25	43	48	54	45	35	35	57	75	57	21	550,000$/2yrs
Michael Vukojevic (R)	0	D	100.00	65	78	58	63	78	53	75	45	25	34	40	53	38	40	40	56	75	56	24	450,000$/1yrs
Paul Fischer (R)	0	D	100.00	65	72	83	66	72	54	78	48	25	40	40	40	38	32	32	56	75	56	20	475,000$/1yrs
Bode Wilde (R)	0	D	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	40	25	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
Juho Markkanen	0	96.50	51	72	64	60	51	58	51	51	51	51	44	34	34	50	75	50	23	450,000$/1yrs
Jacob Fowler	0	100.00	51	76	65	62	51	58	51	51	51	51	44	37	37	50	75	50	20	725,000$/2yrs
Scratches
Hampton Slukynsky	0	100.00	48	63	60	59	48	55	48	48	48	48	41	34	34	47	75	47	19	625,000$/2yrs
Adam Gajan	0	100.00	35	60	58	67	35	42	35	35	35	35	28	33	33	42	75	42	21	475,000$/1yrs

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	Nick Lardis	Thistles (CRU)	RW	52	26	32	58	-20	20	0	54	174	44	128	14.94%	8	19.53	6	10	16	0	0	0	65	1	1	53.85%	91	0	1	1.14	0	1
2	Henrik Rybinski	Thistles (CRU)	C/LW/RW	52	19	29	48	-22	35	5	69	169	52	128	11.24%	16	17.94	3	5	8	1	0	1	94	3	0	50.76%	197	1	1	1.03	0	1
3	Noah Laba	Thistles (CRU)	C	52	13	29	42	-21	20	0	86	131	31	90	9.92%	9	18.05	3	8	11	0	0	0	1	0	0	45.93%	1241	0	0	0.89	0	2
4	Jimmy Snuggerud	Thistles (CRU)	RW	52	17	23	40	-22	18	0	68	182	45	108	9.34%	12	20.02	3	5	8	0	1	1	143	1	1	53.92%	102	0	1	0.77	0	2
5	Quentin Musty	Thistles (CRU)	LW	48	18	22	40	-24	17	5	70	125	24	90	14.40%	9	20.14	3	7	10	0	0	0	122	1	0	51.06%	331	0	0	0.83	1	1
6	Helge Grans	Thistles (CRU)	D	50	12	25	37	-27	48	0	105	71	20	35	16.90%	85	21.96	2	4	6	0	0	0	109	0	0	0.00%	0	0	0	0.67	0	0
7	Luke Mittelstadt	Thistles (CRU)	D	52	6	29	35	-12	20	0	93	74	18	51	8.11%	98	20.97	1	1	2	0	1	1	124	0	1	0.00%	0	0	0	0.64	0	0
8	Hunter Brzustewicz	Thistles (CRU)	D	52	10	23	33	-28	34	0	85	71	22	48	14.08%	86	22.70	4	7	11	0	0	0	121	0	1	0.00%	0	1	0	0.56	0	0
9	Brayden Yager	Thistles (CRU)	C/RW	52	12	17	29	-23	12	0	40	95	24	87	12.63%	6	16.40	1	1	2	0	0	0	72	2	0	40.25%	1123	0	1	0.68	0	0
10	Dominic James	Thistles (CRU)	C/LW	44	7	17	24	-20	14	0	34	72	25	48	9.72%	5	12.66	1	0	1	0	0	0	9	1	0	42.58%	418	0	0	0.86	0	0
11	Eamon Powell	Thistles (CRU)	D	34	4	19	23	-14	18	0	60	36	16	23	11.11%	71	16.23	2	0	2	0	0	0	34	1	0	0.00%	0	0	0	0.83	0	0
12	Brian Zanetti	Thistles (CRU)	D	52	4	17	21	-16	39	5	101	47	29	38	8.51%	79	20.70	0	4	4	0	1	1	113	0	0	0.00%	0	0	0	0.39	0	0
13	Austin Roest	Thistles (CRU)	C/RW	48	9	12	21	-10	12	0	49	78	21	50	11.54%	9	12.23	0	0	0	0	0	0	0	0	0	36.36%	44	0	0	0.72	0	0
14	Bulat Shafigullin	Thistles (CRU)	LW/RW	40	6	13	19	-37	4	0	37	75	15	48	8.00%	5	14.68	2	2	4	0	0	0	4	1	0	40.70%	511	0	0	0.65	0	0
15	Hudson Malinoski	Thistles (CRU)	C	52	5	11	16	-36	30	0	99	34	8	17	14.71%	38	17.76	0	0	0	0	0	0	0	0	0	34.75%	236	0	0	0.35	0	0
16	Trevor Kuntar	Thistles (CRU)	C/LW	52	3	12	15	1	8	0	36	31	11	26	9.68%	5	7.38	0	2	2	0	0	0	40	0	0	45.06%	253	0	0	0.78	0	0
17	Matthew Maggio	Thistles (CRU)	RW	52	2	10	12	-27	10	0	26	48	14	37	4.17%	10	10.73	0	0	0	0	0	0	3	0	0	34.88%	43	0	0	0.43	0	0
18	Donovan Sebrango	Thistles (CRU)	D	23	3	4	7	-9	19	5	44	15	4	7	20.00%	27	12.19	0	1	1	0	0	0	36	0	0	0.00%	0	0	0	0.50	0	0
19	David Jiricek	Thistles (CRU)	D	34	2	4	6	-5	2	0	14	11	4	5	18.18%	19	4.47	1	1	2	0	0	0	20	0	0	0.00%	1	0	0	0.79	0	0
20	Aiden Celebrini	Thistles (CRU)	D	5	0	1	1	-2	6	0	6	5	1	1	0.00%	4	7.06	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.57	0	0
Team Total or Average			898	178	349	527	-374	386	20	1176	1544	428	1065	11.53%	601	16.49	32	58	90	1213	1	3	4	1116	11	4	43.74%	4591	2	4	0.71	1	7

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	S2	S3
1	Jacob Fowler	Thistles (CRU)	22	6	12	2	0.867	5.46	1067	0	0	97	728	0	0	0	0.600	5	19	15	0	1
2	Juho Markkanen	Thistles (CRU)	39	4	22	5	0.854	5.78	1889	2	0	182	1250	0	2	1	0.500	2	33	19	0	0
3	Hampton Slukynsky	Thistles (CRU)	6	1	0	0	0.886	4.59	183	0	0	14	123	0	0	0	0.000	0	0	18	0	0
Team Total or Average		67	11	34	7	0.861	5.60	3139	2	0	293	2101	0	2	1	0.571	7	52	52	0	1

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19
Adam Gajan	G	21	475,000$	475,000$
Aiden Celebrini	D	20	475,000$	475,000$
Austin Roest	C/RW	21	500,000$	500,000$	500,000$
Bode Wilde	D	25	450,000$	450,000$	RFA
Brayden Yager	C/RW	20	875,000$	875,000$	875,000$
Brian Zanetti	D	22	500,000$	500,000$
Bulat Shafigullin	LW/RW	25	450,000$	450,000$	RFA
Cameron MacDonald	C/LW/RW	22	450,000$	450,000$
David Jiricek	D	21	875,000$	875,000$
Dominic James	C/LW	22	475,000$	475,000$
Donovan Sebrango	D	23	828,333$	828,333$
Eamon Powell	D	23	525,000$	525,000$	525,000$
Hampton Slukynsky	G	19	625,000$	625,000$	625,000$
Helge Grans	D	23	847,500$	847,500$
Henrik Rybinski	C/LW/RW	24	859,167$	859,167$	RFA
Hudson Malinoski	C	21	475,000$	475,000$
Hunter Brzustewicz	D	20	725,000$	725,000$	725,000$
Jacob Fowler	G	20	725,000$	725,000$	725,000$
Jimmy Snuggerud	RW	21	875,000$	875,000$
Jonathan Myrenberg	D	22	475,000$	475,000$
Juho Markkanen	G	23	450,000$	450,000$
Luke Mittelstadt	D	22	450,000$	450,000$
Matthew Maggio	RW	22	500,000$	500,000$
Michael Vukojevic	D	24	450,000$	450,000$	RFA
Nick Lardis	RW	19	725,000$	725,000$	725,000$
Noah Laba	C	21	500,000$	500,000$
Paul Fischer	D	20	475,000$	475,000$
Quentin Musty	LW	19	875,000$	875,000$	875,000$
Rodwin Dionicio	D	21	550,000$	550,000$	550,000$
Ryan Leonard	C	20	875,000$	875,000$	875,000$
Trevor Kuntar	C/LW	24	867,500$	867,500$	RFA

Lines

Forward Lines
# - Henrik Rybinski	# - Bulat Shafigullin	# - Jimmy Snuggerud
# - Austin Roest	# - Noah Laba	# - Nick Lardis
# - Matthew Maggio	# - Brayden Yager	# - Dominic James
# - Jimmy Snuggerud	# - Hudson Malinoski	# - Matthew Maggio

Defensive Pairings
# - Hunter Brzustewicz	# - Aiden Celebrini
# - Luke Mittelstadt	# - Brian Zanetti
# - Eamon Powell	# - Hudson Malinoski

1st Power Play Unit
# - Henrik Rybinski		# - Brayden Yager		# - Jimmy Snuggerud
# - Hunter Brzustewicz			# - Eamon Powell

2nd Power Play Unit
# - Trevor Kuntar		# - Noah Laba		# - Nick Lardis
# - Luke Mittelstadt			# - Brian Zanetti

Goalies
# - Juho Markkanen		# - Jacob Fowler

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	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	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	1	1	0	0	4.50	6.00	-1.50	2	0.500	4.5	8.5	13.0	0	81	54	63	2	29.5	566	518	563	21	42.5	13.0	8.00	25.0	1.50	0.00	0.00%	4.00	1.00	75.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	47.4%	15.3%	85.9%	101.1	FUN
2	Ninjas	1	0	1	0	0	0	2.00	6.00	-4.00	0	0.000	2.0	4.0	6.0	0	81	54	63	2	26.0	566	518	563	21	44.0	11.0	4.00	24.0	2.00	0.00	0.00%	2.00	0.00	100.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	1,091.00	711.00	1,343.00	409.00	707.00	333.00	25.0%	7.7%	86.4%	94.1	Unlucky
3	Junior Wolves	1	0	1	0	0	0	2.00	9.00	-7.00	0	0.000	2.0	4.0	6.0	0	81	54	63	2	24.0	566	518	563	21	36.0	10.0	12.00	22.0	0.00	0.00	0.00%	6.00	4.00	33.33%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	1,091.00	711.00	1,343.00	409.00	707.00	333.00	28.6%	8.3%	75.0%	83.3	Unlucky
4	Bulldogs	2	1	1	0	0	0	4.00	4.50	-0.50	2	0.500	4.0	7.0	11.0	0	81	54	63	2	40.0	566	518	563	21	42.0	15.0	6.00	20.0	4.50	1.00	22.22%	3.00	0.50	83.33%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	42.9%	10.0%	89.3%	99.3	FUN
5	Shockers	2	0	2	0	0	0	3.00	6.00	-3.00	0	0.000	3.0	4.5	7.5	0	81	54	63	2	35.5	566	518	563	21	37.5	7.5	2.00	22.5	3.50	1.00	28.57%	1.00	0.00	100.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	25.0%	8.5%	84.0%	92.5	Unlucky
6	Gargoyles	3	1	2	0	0	0	4.33	5.00	-0.67	2	0.333	4.3	7.7	12.0	0	81	54	63	2	33.0	566	518	563	21	41.0	14.0	6.00	23.7	2.00	0.67	33.33%	2.67	1.00	62.50%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	363.67	237.00	447.67	136.33	235.67	111.00	47.8%	13.1%	87.8%	100.9	FUN
7	Sailors	2	0	1	0	1	0	3.00	5.50	-2.50	1	0.250	3.0	5.0	8.0	0	81	54	63	2	30.0	566	518	563	21	36.0	16.5	5.00	20.0	2.00	0.00	0.00%	2.00	0.50	75.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	37.5%	10.0%	84.7%	94.7	FUN
8	Devils	2	1	1	0	0	0	3.50	4.00	-0.50	2	0.500	3.5	5.5	9.0	0	81	54	63	2	31.5	566	518	563	21	34.0	11.0	9.50	25.0	2.50	0.50	20.00%	3.00	0.00	100.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	42.9%	11.1%	88.2%	99.3	FUN
9	Eagles	2	0	2	0	0	0	2.00	6.00	-4.00	0	0.000	2.0	4.0	6.0	0	81	54	63	2	28.0	566	518	563	21	38.0	15.0	7.50	25.0	3.00	0.00	0.00%	2.00	1.00	50.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	28.6%	7.1%	84.2%	91.4	Unlucky
10	Ravens	1	0	1	0	0	0	5.00	6.00	-1.00	0	0.000	5.0	9.0	14.0	0	81	54	63	2	25.0	566	518	563	21	50.0	13.0	8.00	27.0	4.00	2.00	50.00%	4.00	1.00	75.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	1,091.00	711.00	1,343.00	409.00	707.00	333.00	37.5%	20.0%	88.0%	108.0	FUN
11	Venom	2	0	0	0	1	1	4.50	5.50	-1.00	2	0.500	4.5	8.0	12.5	0	81	54	63	2	24.5	566	518	563	21	43.0	10.0	10.00	24.0	0.50	0.50	100.00%	5.00	1.50	70.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	50.0%	18.4%	87.2%	105.6	FUN
12	Indians	1	0	1	0	0	0	4.00	5.00	-1.00	0	0.000	4.0	8.0	12.0	0	81	54	63	2	21.0	566	518	563	21	28.0	7.0	8.00	20.0	5.00	2.00	40.00%	3.00	0.00	100.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	1,091.00	711.00	1,343.00	409.00	707.00	333.00	28.6%	19.0%	82.1%	101.2	FUN
13	Squirrels	2	0	2	0	0	0	3.00	6.50	-3.50	0	0.000	3.0	5.0	8.0	0	81	54	63	2	31.0	566	518	563	21	47.5	9.5	5.00	20.5	3.00	0.00	0.00%	2.00	1.00	50.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	35.3%	9.7%	86.3%	96.0	FUN
14	Blades	2	1	1	0	0	0	3.50	3.50	0.00	2	0.500	3.5	6.5	10.0	0	81	54	63	2	33.0	566	518	563	21	40.0	13.5	6.00	21.0	3.00	0.50	16.67%	3.00	1.00	66.67%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	54.5%	10.6%	91.3%	101.9	LUCKY
15	Sharknado	4	0	3	0	1	0	2.75	5.50	-2.75	1	0.125	2.8	5.0	7.8	0	81	54	63	2	30.3	566	518	563	21	43.0	12.3	9.00	26.5	2.00	0.25	12.50%	4.50	0.75	83.33%	1	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	272.75	177.75	335.75	102.25	176.75	83.25	34.5%	9.1%	87.2%	96.3	FUN
16	Barking Spiders	1	0	0	0	0	1	4.00	5.00	-1.00	1	0.500	4.0	7.0	11.0	0	81	54	63	2	30.0	566	518	563	21	47.0	17.0	12.00	20.0	3.00	2.00	66.67%	6.00	1.00	83.33%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	1,091.00	711.00	1,343.00	409.00	707.00	333.00	33.3%	13.3%	89.4%	102.7	FUN
17	Space Invaders	3	1	2	0	0	0	5.33	6.33	-1.00	2	0.333	5.3	9.3	14.7	0	81	54	63	2	35.3	566	518	563	21	47.7	12.0	12.33	26.7	3.33	1.00	30.00%	4.67	1.33	71.43%	1	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	363.67	237.00	447.67	136.33	235.67	111.00	46.4%	15.1%	86.7%	101.8	FUN
18	Checkers	2	0	2	0	0	0	3.50	5.50	-2.00	0	0.000	3.5	6.5	10.0	0	81	54	63	2	32.5	566	518	563	21	29.0	5.5	7.00	20.5	3.00	0.50	16.67%	3.00	2.50	16.67%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	50.0%	10.8%	81.0%	91.8	FUN
19	Vikings	2	1	1	0	0	0	5.00	6.00	-1.00	2	0.500	5.0	9.0	14.0	0	81	54	63	2	31.0	566	518	563	21	39.0	8.5	7.00	26.0	2.50	1.50	60.00%	3.00	1.50	50.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	43.8%	16.1%	84.6%	100.7	FUN
20	Kangaroos	2	0	2	0	0	0	3.00	8.00	-5.00	0	0.000	3.0	5.5	8.5	1	81	54	63	2	29.0	566	518	563	21	36.0	14.0	8.00	22.0	3.50	0.00	0.00%	4.00	1.50	62.50%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	31.6%	10.3%	77.8%	88.1	FUN
21	Barracudas	1	0	1	0	0	0	5.00	6.00	-1.00	0	0.000	5.0	9.0	14.0	0	81	54	63	2	27.0	566	518	563	21	40.0	11.0	17.00	22.0	3.00	0.00	0.00%	6.00	3.00	50.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	1,091.00	711.00	1,343.00	409.00	707.00	333.00	62.5%	18.5%	85.0%	103.5	FUN
22	Senators	2	0	1	0	1	0	5.00	6.00	-1.00	1	0.250	5.0	9.5	14.5	0	81	54	63	2	41.0	566	518	563	21	46.5	11.5	4.00	32.0	5.00	1.00	20.00%	2.00	0.00	100.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	40.0%	12.2%	87.1%	99.3	FUN
23	Pimps	2	0	2	0	0	0	2.50	6.00	-3.50	0	0.000	2.5	5.0	7.5	0	81	54	63	2	32.0	566	518	563	21	42.0	15.0	6.00	25.0	4.00	0.50	12.50%	3.00	0.50	83.33%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	26.7%	7.8%	85.7%	93.5	Unlucky
24	Wolf Pack	1	1	0	0	0	0	6.00	5.00	1.00	2	1.000	6.0	11.0	17.0	0	81	54	63	2	37.0	566	518	563	21	37.0	9.0	10.00	19.0	2.00	0.00	0.00%	4.00	1.00	75.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	1,091.00	711.00	1,343.00	409.00	707.00	333.00	60.0%	16.2%	86.5%	102.7	FUN
25	Assassins	2	1	0	0	1	0	4.00	3.00	1.00	3	0.750	4.0	7.0	11.0	0	81	54	63	2	32.0	566	518	563	21	38.5	10.0	10.00	21.0	3.00	1.00	33.33%	4.50	1.00	77.78%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	545.50	355.50	671.50	204.50	353.50	166.50	60.0%	12.5%	92.2%	104.7	LUCKY
26	Zolos	5	2	3	0	0	0	4.60	6.80	-2.20	4	0.400	4.6	8.2	12.8	0	81	54	63	2	36.6	566	518	563	21	39.8	11.8	8.00	25.0	3.00	0.80	26.67%	4.00	1.00	75.00%	0	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	218.20	142.20	268.60	81.80	141.40	66.60	39.6%	12.6%	82.9%	95.5	FUN
	_Vs Division	19	4	14	0	1	0	4.00	5.95	-1.95	9	0.237	4.0	7.1	11.1	0	81	54	63	2	33.9	566	518	563	21	40.5	11.2	7.84	24.6	2.74	0.68	25.00%	3.58	1.05	70.59%	2	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	57.42	37.42	70.68	21.53	37.21	17.53	40.4%	11.8%	85.3%	97.1	FUN
	_Vs Conference	32	6	21	1	3	1	3.94	5.91	-1.97	18	0.281	3.9	7.0	10.9	0	81	54	63	2	32.2	566	518	563	21	40.6	11.4	7.63	24.0	2.47	0.53	21.52%	3.38	1.06	68.52%	2	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	34.09	22.22	41.97	12.78	22.09	10.41	41.3%	12.2%	85.5%	97.7	FUN
	_Since Last GM Reset	52	10	34	1	5	2	3.83	5.69	-1.87	29	0.279	3.8	6.9	10.7	1	81	54	63	2	31.9	566	518	563	21	40.4	11.8	7.77	23.8	2.83	0.62	21.77%	3.46	1.00	71.11%	2	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	20.98	13.67	25.83	7.87	13.60	6.40	40.6%	12.0%	85.9%	97.9	FUN
	Total	52	10	34	1	5	2	3.83	5.69	-1.87	29	0.279	3.8	6.9	10.7	1	81	54	63	2	31.9	566	518	563	21	40.4	11.8	7.77	23.8	2.83	0.62	21.77%	3.46	1.00	71.11%	2	777	1748	44.45%	852	1934	44.05%	455	1017	44.74%	20.98	13.67	25.83	7.87	13.60	6.40	40.6%	12.0%	85.9%	97.9	FUN

	Puck Time
Offensive Zone	20
Neutral Zone	13
Defensive Zone	25

	Puck Time
Offensive Zone Start	1748
Neutral Zone Start	1017
Defensive Zone Start	1934

	Puck Time
With Puck	27
Without Puck	32

	Faceoffs
Faceoffs Won	2084
Faceoffs Lost	2615

	Team Average Shots after	League Average Shots after
1st Period	10.9	9.57
2nd Period	20.8	20.31
3rd Period	31.7	30.68
Overtime	32.1	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.6	0.64
2nd Period	2.6	1.65
3rd Period	3.8	2.67
Overtime	3.8	2.83


Even Strenght Goal	164
PP Goal	32
PK Goal	2
Empty Net Goal	1

	Home	Away
Win	4	7
Lost	17	17
Overtime Lost	3	4


PP Attempt	147
PP Goal	32
PK Attempt	180
PK Goal Against	52

	Home
Shots For	31.9
Shots Against	40.4
Goals For	3.8
Goals Against	5.7
Hits	23.8
Shots Blocked	11.8
Pim	7.8

Schedule

Date	Matchup			Result	Detail
1	THI	@	CHE	THI4,CHE5	RECAP
5	THI	@	ZOL	THI4,ZOL11	RECAP
7	THI	@	SHA	THI4,SHA5 (OT)	RECAP
10	THI	@	BLA	THI4,BLA3	RECAP
12	ZOL	@	THI	ZOL4,THI7	RECAP
13	BUL	@	THI	BUL5,THI6	RECAP
16	CHE	@	THI	CHE6,THI3	RECAP
19	THI	@	ZOL	THI2,ZOL10	RECAP
23	SHO	@	THI	SHO5,THI3	RECAP
25	THI	@	NIN	THI2,NIN6	RECAP
27	THI	@	KAN	THI2,KAN10	RECAP
29	THI	@	GRG	THI4,GRG6	RECAP
31	OHK	@	THI	OHK7,THI3	RECAP
34	THI	@	SPA	THI5,SPA8	RECAP
36	THI	@	SEN	THI6,SEN7	RECAP
39	THI	@	PIM	THI2,PIM7	RECAP
40	THI	@	BUL	THI2,BUL4	RECAP
43	THI	@	ASS	THI5,ASS2	RECAP
46	ASS	@	THI	ASS4,THI3 (OT)	RECAP
49	THI	@	VIK	THI6,VIK4	RECAP
51	THI	@	VEN	THI5,VEN6 (OT)	RECAP
53	THI	@	SQU	THI2,SQU8	RECAP
54	THI	@	EAG	THI1,EAG5	RECAP
58	THI	@	SAI	THI5,SAI6 (OT)	RECAP
60	THI	@	OHK	THI6,OHK5 (OT)	RECAP
62	THI	@	WPK	THI6,WPK5	RECAP
65	SHA	@	THI	SHA4,THI0	RECAP
67	GRG	@	THI	GRG7,THI2	RECAP
70	THI	@	ZOL	THI4,ZOL7	RECAP
74	THI	@	JWO	THI2,JWO9	RECAP
76	THI	@	GRG	THI7,GRG2	RECAP
78	VIK	@	THI	VIK8,THI4	RECAP
80	SPA	@	THI	SPA7,THI5	RECAP
82	ZOL	@	THI	ZOL2,THI6	RECAP
84	VEN	@	THI	VEN5,THI4 (SO)	RECAP
88	THI	@	BAR	THI5,BAR6	RECAP
90	THI	@	DEV	THI6,DEV4	RECAP
93	THI	@	RAV	THI5,RAV6	RECAP
95	THI	@	BKS	THI4,BKS5 (SO)	RECAP
99	SQU	@	THI	SQU5,THI4	RECAP
102	SHA	@	THI	SHA7,THI5	RECAP
105	SAI	@	THI	SAI5,THI1	RECAP
107	DEV	@	THI	DEV4,THI1	RECAP
109	IND	@	THI	IND5,THI4	RECAP
111	EAG	@	THI	EAG7,THI3	RECAP
113	SPA	@	THI	SPA4,THI6	RECAP
114	SEN	@	THI	SEN5,THI4 (OT)	RECAP
117	BLA	@	THI	BLA4,THI3	RECAP
118	KAN	@	THI	KAN6,THI4	RECAP
120	THI	@	SHO	THI3,SHO7	RECAP
123	SHA	@	THI	SHA6,THI2	RECAP
124	PIM	@	THI	PIM5,THI3	RECAP
126	SAI	@	THI
127	CHE	@	THI
130	THI	@	CHE
133	CAN	@	THI
135	BAR	@	THI
136	CHE	@	THI
139	PIM	@	THI
140	RAV	@	THI
142	CHE	@	THI
143	BKS	@	THI
146	THI	@	SHO
149	THI	@	WPK
152	THI	@	EAG
155	THI	@	SPA
157	THI	@	SHA
160	THI	@	GRG
162	SHO	@	THI
Trade Deadline --- Trades can�t be done after this day is simulated!
166	JWO	@	THI
168	SPA	@	THI
169	GRG	@	THI
171	VEN	@	THI
172	SHO	@	THI
174	NIN	@	THI
175	THI	@	IND
179	THI	@	CAN
181	WPK	@	THI
184	THI	@	SQU
190	THI	@	OHK
191	THI	@	WPK
193	THI	@	VIK

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
1,835,500$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	38948	19411
Attendance PCT	81.14%	80.88%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
17	2432 - 81.05%	68,931$	1,654,345$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
1,835,500$	1,835,500$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,282,237$	9,010$	1,263,479$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,171,828$	69	9,461$	652,809$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
652,809$	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

Sharknado37-14-1, 75pts

62Final

Thistles11-34-7, 29pts

Pimps31-15-5, 67pts

53Final

Thistles11-34-7, 29pts

Pimps31-15-5, 67pts

Mon, Apr 13

Thistles11-34-7, 29pts

Mon, Dec 15

Zolos36-14-1, 73pts

Thistles11-34-7, 29pts

Wed, Dec 17

Sharknado37-14-1, 75pts

TRANSACTIONS

Team Info


	Head Coach
	Division	LaFontaine
	City	Kenora
	Stadium Capacity	3,000

Thistles Affiliation


	General Manager	Erik Bosak
	Head Coach
	Stadium
	Capacity	18,000

Team Leaders

GOALS Nick Lardis Thistles	26 GOALS
POINTS Nick Lardis Thistles	58 POINTS
WINS Jacob Fowler Thistles	6 WINS
Expanded Player Leaderboard

Team Stats

Goals For 199 3.83 GFG	Goals Against 296 5.69 GAA
Power Play Percentage 21.8% 32 GF	Penalty Kill Percentage 71.1% 52 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain