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
Dylan Peterson (R)	0	C/RW	100.00	64	72	67	64	72	54	75	55	52	48	56	53	53	34	34	61	75	61	23	867,500$/2yrs
Michael Milne (R)	0	LW	100.00	65	66	83	63	65	56	73	56	36	48	58	47	55	38	38	61	75	61	22	861,667$/1yrs
Daniel Ljungman (R)	0	C/RW	100.00	65	65	91	63	65	52	74	52	34	47	53	59	49	37	37	60	75	60	23	450,000$/1yrs
Mason Primeau (R)	0	C	100.00	66	76	69	63	76	53	67	50	63	45	49	46	47	38	38	58	75	58	23	475,000$/1yrs
Ben MacDonald (R)	0	C	100.00	65	68	84	63	68	53	72	50	45	46	49	52	46	31	31	58	75	58	21	475,000$/1yrs
Michael Callow (R)	0	LW/RW	100.00	67	75	83	63	76	52	74	47	48	42	47	50	45	32	32	58	75	58	21	475,000$/1yrs
Connor Lockhart (R)	0	C	100.00	64	62	81	62	62	50	77	48	25	44	47	39	44	40	40	57	75	57	22	475,000$/1yrs
Jakub Stancl (R)	0	LW	100.00	66	73	86	63	72	52	61	48	43	44	47	39	45	31	31	56	75	56	20	500,000$/1yrs
Matthew Perkins (R)	0	C	100.00	65	64	88	62	64	49	75	46	25	41	46	42	43	33	33	56	75	56	21	500,000$/1yrs
Filip Barklund (R)	0	C/RW	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	40	22	450,000$/1yrs
Josh Pillar (R)	0	C/RW	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	40	23	450,000$/1yrs
Eric Pohlkamp (R)	0	D	100.00	65	72	82	65	72	55	81	50	25	43	44	65	42	34	34	62	75	62	21	475,000$/1yrs
Justin Kipkie (R)	0	D	100.00	65	76	80	64	76	54	86	48	25	39	41	57	39	35	35	60	75	60	19	450,000$/1yrs
Guillaume Richard (R)	0	D	100.00	65	68	85	64	68	53	76	47	25	37	41	58	39	34	34	58	75	58	22	475,000$/1yrs
Dylan MacKinnon (R)	0	D	100.00	65	73	67	64	72	53	83	44	25	33	40	58	37	39	39	58	75	58	20	550,000$/1yrs
Matthew Andonovski (R)	0	D	100.00	65	74	59	64	74	51	86	45	25	34	40	54	38	38	38	58	75	58	20	475,000$/1yrs
George Fegaras (R)	0	D	100.00	65	76	84	63	76	54	74	47	25	37	40	53	38	32	32	57	75	57	21	475,000$/1yrs
Nolan Collins (R)	0	D	100.00	65	78	61	63	78	53	76	46	25	36	40	56	38	35	35	57	75	57	21	475,000$/1yrs
Scratches
Tyson Hinds (R)	0	D	100.00	65	71	82	64	71	53	87	47	25	38	41	55	39	39	39	59	75	59	22	829,444$/2yrs
Angus Booth (R)	0	D	100.00	65	66	79	64	66	53	67	47	25	39	40	65	38	39	39	58	75	58	21	826,667$/3yrs
Terrell Goldsmith (R)	0	D	100.00	65	80	59	63	80	53	83	44	25	33	40	54	38	35	35	57	75	57	20	500,000$/2yrs
Will Francis (R)	0	D	100.00	65	78	73	65	78	50	43	43	25	31	39	42	37	33	33	51	75	51	24	450,000$/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
Melvin Strahl	0	99.00	48	58	69	66	48	55	48	48	48	48	41	32	32	49	75	49	20	450,000$/1yrs
Lukas Parik	0	100.00	40	48	58	69	40	47	40	40	40	40	33	38	38	44	75	44	24	450,000$/1yrs
Scratches
Hunter Miska	0	100.00	44	45	60	61	44	51	44	44	44	44	37	44	44	45	75	45	29	450,000$/1yrs
Will Cranley	0	100.00	38	48	60	68	38	45	38	38	38	38	31	35	35	43	75	43	23	841,667$/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	PKM	GW	GT	FO%	FOT	P/20
1	Dylan Peterson	Checkers (SLA)	C/RW	2	1	3	4	2	4	0	9	6	0	3	16.67%	0	21.16	0	0	0	4	1	0	40.91%	44	1.89
2	Guillaume Richard	Checkers (SLA)	D	2	0	3	3	3	0	0	0	1	0	0	0.00%	2	20.15	0	1	1	3	0	0	0.00%	0	1.49
3	Michael Callow	Checkers (SLA)	LW/RW	2	1	2	3	-3	0	0	4	7	1	3	14.29%	0	19.43	1	2	3	1	0	0	0.00%	1	1.54
4	Mason Primeau	Checkers (SLA)	C	2	0	2	2	-3	0	0	7	2	0	4	0.00%	1	19.68	0	2	2	1	0	0	66.00%	50	1.02
5	Daniel Ljungman	Checkers (SLA)	C/RW	2	1	1	2	2	0	0	2	9	2	4	11.11%	1	14.68	0	0	0	1	0	0	57.14%	7	1.36
6	Ben MacDonald	Checkers (SLA)	C	2	1	1	2	-3	0	0	4	9	4	5	11.11%	1	16.48	0	0	0	0	0	0	54.29%	35	1.21
7	Michael Milne	Checkers (SLA)	LW	2	2	0	2	2	0	0	3	7	0	4	28.57%	0	22.13	0	0	0	5	0	0	50.00%	4	0.90
8	Eric Pohlkamp	Checkers (SLA)	D	2	1	1	2	-1	0	0	5	3	0	3	33.33%	3	22.69	1	0	1	3	0	1	0.00%	0	0.88
9	Filip Barklund	Checkers (SLA)	C/RW	2	0	1	1	-3	2	0	1	1	1	0	0.00%	0	16.18	0	0	0	0	0	0	0.00%	0	0.62
10	George Fegaras	Checkers (SLA)	D	2	1	0	1	-6	0	0	0	2	1	2	50.00%	1	17.28	0	0	0	2	0	0	0.00%	0	0.58
11	Nolan Collins	Checkers (SLA)	D	2	0	1	1	0	2	0	6	4	0	0	0.00%	0	8.68	0	0	0	0	0	0	0.00%	0	1.15
12	Dylan MacKinnon	Checkers (SLA)	D	2	1	0	1	2	2	0	0	3	0	3	33.33%	2	19.39	1	0	1	2	0	0	0.00%	0	0.52
13	Justin Kipkie	Checkers (SLA)	D	2	0	1	1	0	2	0	1	1	2	3	0.00%	2	16.82	0	1	1	4	0	0	0.00%	0	0.59
14	Connor Lockhart	Checkers (SLA)	C	2	0	0	0	0	0	0	1	0	0	0	0.00%	0	8.84	0	0	0	3	0	0	14.29%	14	0.00
15	Josh Pillar	Checkers (SLA)	C/RW	2	0	0	0	-3	0	0	1	1	0	0	0.00%	0	18.32	0	0	0	0	0	0	33.33%	3	0.00
16	Jakub Stancl	Checkers (SLA)	LW	2	0	0	0	-3	0	0	3	3	4	1	0.00%	0	16.28	0	0	0	0	0	0	75.00%	4	0.00
17	Matthew Andonovski	Checkers (SLA)	D	2	0	0	0	-6	0	0	8	1	0	2	0.00%	4	15.10	0	0	0	0	0	0	0.00%	0	0.00
18	Matthew Perkins	Checkers (SLA)	C	2	0	0	0	0	0	0	0	1	0	1	0.00%	0	2.10	0	0	0	0	0	0	0.00%	1	0.00
Team Total or Average			36	9	16	25	-20	12	0	55	61	15	38	14.75%	17	16.41	3	6	9	38	36	1	1	50.31%	163	0.85

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	SO	GA	SA	EG	PS %	PSA	ST	BG	S3
1	Melvin Strahl	Checkers (SLA)	2	1	1	0	0.816	4.95	109	0	9	49	0	0.000	0	2	0	0
2	Lukas Parik	Checkers (SLA)	1	0	0	0	0.600	12.00	10	0	2	5	0	0.000	0	0	2	0
Team Total or Average		3	1	1	0	0.796	5.50	120	0	11	54	0	0.000	0	2	2	0

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20
Angus Booth	D	21	826,667$	826,667$	826,667$	826,667$
Ben MacDonald	C	21	475,000$	475,000$
Connor Lockhart	C	22	475,000$	475,000$
Daniel Ljungman	C/RW	23	450,000$	450,000$
Dylan MacKinnon	D	20	550,000$	550,000$
Dylan Peterson	C/RW	23	867,500$	867,500$	867,500$
Eric Pohlkamp	D	21	475,000$	475,000$
Filip Barklund	C/RW	22	450,000$	450,000$
George Fegaras	D	21	475,000$	475,000$
Guillaume Richard	D	22	475,000$	475,000$
Hunter Miska	G	29	450,000$	450,000$	RFA
Jakub Stancl	LW	20	500,000$	500,000$
Josh Pillar	C/RW	23	450,000$	450,000$
Justin Kipkie	D	19	450,000$	450,000$
Lukas Parik	G	24	450,000$	450,000$	RFA
Mason Primeau	C	23	475,000$	475,000$	RFA
Matthew Andonovski	D	20	475,000$	475,000$
Matthew Perkins	C	21	500,000$	500,000$
Melvin Strahl	G	20	450,000$	450,000$
Michael Callow	LW/RW	21	475,000$	475,000$
Michael Milne	LW	22	861,667$	861,667$
Nolan Collins	D	21	475,000$	475,000$
Terrell Goldsmith	D	20	500,000$	500,000$	500,000$
Tyson Hinds	D	22	829,444$	829,444$	829,444$
Will Cranley	G	23	841,667$	841,667$
Will Francis	D	24	450,000$	450,000$	RFA

Lines

Forward Lines
# - Michael Milne	# - Dylan Peterson	# - Daniel Ljungman
# - Michael Callow	# - Mason Primeau	# - Josh Pillar
# - Jakub Stancl	# - Ben MacDonald	# - Filip Barklund
# - Dylan Peterson	# - Connor Lockhart	# - Michael Milne

Defensive Pairings
# - Eric Pohlkamp	# - Justin Kipkie
# - Guillaume Richard	# - Dylan MacKinnon
# - Matthew Andonovski	# - George Fegaras

1st Power Play Unit
# - Michael Milne		# - Dylan Peterson		# - Daniel Ljungman
# - Eric Pohlkamp			# - Justin Kipkie

2nd Power Play Unit
# - Michael Callow		# - Mason Primeau		# - Josh Pillar
# - Guillaume Richard			# - Dylan MacKinnon

Goalies
# - Melvin Strahl		# - Lukas Parik

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	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	Sharknado	1	0	1	4.00	7.00	-3.00	0	0.000	4.0	7.0	11.0	4	1	4	30.0	20	13	28	29.0	6.0	6.00	26.0	2.00	0.00	0.00%	3.00	1.00	66.67%	33	63	52.38%	30	58	51.72%	19	42	45.24%	42.00	27.00	49.00	14.00	28.00	14.00	40.0%	13.3%	75.9%	89.2	FUN
2	Thistles	1	1	0	5.00	4.00	1.00	2	1.000	5.0	9.0	14.0	4	1	4	31.0	20	13	28	25.0	11.0	6.00	29.0	4.00	3.00	75.00%	3.00	0.00	100.00%	33	63	52.38%	30	58	51.72%	19	42	45.24%	42.00	27.00	49.00	14.00	28.00	14.00	33.3%	16.1%	84.0%	100.1	FUN
	_Vs Division	2	1	1	4.50	5.50	-1.00	2	0.500	4.5	8.0	12.5	4	1	4	30.5	20	13	28	27.0	8.5	6.00	27.5	3.00	1.50	50.00%	3.00	0.50	83.33%	33	63	52.38%	30	58	51.72%	19	42	45.24%	21.00	13.50	24.50	7.00	14.00	7.00	37.5%	14.8%	79.6%	94.4	FUN
	_Vs Conference	2	1	1	4.50	5.50	-1.00	2	0.500	4.5	8.0	12.5	4	1	4	30.5	20	13	28	27.0	8.5	6.00	27.5	3.00	1.50	50.00%	3.00	0.50	83.33%	33	63	52.38%	30	58	51.72%	19	42	45.24%	21.00	13.50	24.50	7.00	14.00	7.00	37.5%	14.8%	79.6%	94.4	FUN
	_Since Last GM Reset	2	1	1	4.50	5.50	-1.00	2	0.500	4.5	8.0	12.5	4	1	4	30.5	20	13	28	27.0	8.5	6.00	27.5	3.00	1.50	50.00%	3.00	0.50	83.33%	33	63	52.38%	30	58	51.72%	19	42	45.24%	21.00	13.50	24.50	7.00	14.00	7.00	37.5%	14.8%	79.6%	94.4	FUN
	Total	2	1	1	4.50	5.50	-1.00	2	0.500	4.5	8.0	12.5	4	1	4	30.5	20	13	28	27.0	8.5	6.00	27.5	3.00	1.50	50.00%	3.00	0.50	83.33%	33	63	52.38%	30	58	51.72%	19	42	45.24%	21.00	13.50	24.50	7.00	14.00	7.00	37.5%	14.8%	79.6%	94.4	FUN

	Puck Time
Offensive Zone	21
Neutral Zone	14
Defensive Zone	24

	Puck Time
Offensive Zone Start	63
Neutral Zone Start	42
Defensive Zone Start	58

	Puck Time
With Puck	28
Without Puck	31

	Faceoffs
Faceoffs Won	82
Faceoffs Lost	81

	Team Average Shots after	League Average Shots after
1st Period	10.0	9.57
2nd Period	16.5	20.31
3rd Period	30.5	30.68
Overtime	30.5	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	2.0	0.64
2nd Period	2.5	1.65
3rd Period	4.5	2.67
Overtime	4.5	2.83


Even Strenght Goal	6
PP Goal	3
PK Goal	0
Empty Net Goal	0

	Home	Away
Win	1	0
Lost	1	0
Overtime Lost	0	0


PP Attempt	6
PP Goal	3
PK Attempt	6
PK Goal Against	1

	Home
Shots For	30.5
Shots Against	27.0
Goals For	4.5
Goals Against	5.5
Hits	27.5
Shots Blocked	8.5
Pim	6.0

Schedule

Date	Matchup			Result	Detail
1	THI	@	CHE	THI4,CHE5	RECAP
3	SHA	@	CHE	SHA7,CHE4	RECAP
5	EAG	@	CHE
9	PIM	@	CHE
12	CHE	@	GRG
14	CHE	@	NIN
16	CHE	@	THI
19	CHE	@	SHO
22	KAN	@	CHE
23	ZOL	@	CHE
26	GRG	@	CHE
28	VIK	@	CHE
31	CHE	@	RAV
34	CHE	@	GRG
37	CHE	@	PIM
40	SPA	@	CHE
41	ZOL	@	CHE
44	CHE	@	KAN
46	CHE	@	JWO
49	CHE	@	SHA
51	CHE	@	SPA
53	CHE	@	ZOL
56	CHE	@	GRG
59	CHE	@	BAR
61	SHA	@	CHE
62	CHE	@	SEN
64	CHE	@	ZOL
67	IND	@	CHE
69	GRG	@	CHE
72	CHE	@	BKS
74	CHE	@	DEV
76	BLA	@	CHE
78	SQU	@	CHE
80	CAN	@	CHE
82	SHO	@	CHE
84	WPK	@	CHE
85	VEN	@	CHE
89	CHE	@	EAG
91	CHE	@	VIK
95	CHE	@	VEN
97	CHE	@	SAI
100	CHE	@	WPK
102	CHE	@	OHK
106	CHE	@	SHA
109	SAI	@	CHE
111	SPA	@	CHE
112	SQU	@	CHE
114	DEV	@	CHE
117	GRG	@	CHE
120	ASS	@	CHE
123	ZOL	@	CHE
125	OHK	@	CHE
127	CHE	@	THI
130	THI	@	CHE
133	SAI	@	CHE
136	CHE	@	THI
138	RAV	@	CHE
142	CHE	@	THI
143	CHE	@	ASS
145	CHE	@	BUL
147	CHE	@	SHO
150	NIN	@	CHE
Trade Deadline --- Trades can�t be done after this day is simulated!
152	BKS	@	CHE
154	VIK	@	CHE
155	VEN	@	CHE
158	SHO	@	CHE
159	BAR	@	CHE
161	SPA	@	CHE
162	JWO	@	CHE
166	BUL	@	CHE
169	CHE	@	SHA
171	CHE	@	IND
173	CHE	@	CAN
174	SHO	@	CHE
176	SEN	@	CHE
179	CHE	@	SPA
181	CHE	@	BLA
185	CHE	@	VEN
187	CHE	@	WPK
189	CHE	@	SQU
191	CHE	@	OHK
194	CHE	@	EAG