NorthEastern Hockey League Testing

Rochester Lakers
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

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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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Ryan Kabel			X		99.50	85	76	78	71	80	80	79	78	1	63	71	60	70	89	53	41	53	68	0
2	Jonathon Olquin		X			100.00	36	20	99	76	71	79	80	89	53	57	84	28	70	99	87	47	53	67	0
3	Ronald Wyman			X		100.00	89	27	73	58	81	53	65	71	82	72	72	49	75	99	98	45	52	66	0
4	Scott Pospisil			X		100.00	99	42	52	61	77	62	77	56	92	39	59	88	50	99	99	46	52	65	0
5	Craig Stahl			X		100.00	99	57	41	61	81	50	65	68	71	62	67	55	57	99	99	27	52	64	0
6	Vernon Asher	X				100.00	29	2	99	66	77	74	65	63	46	72	83	39	70	79	56	24	53	63	0
7	Raymond Hamon		X			100.00	50	15	99	68	78	76	54	77	61	56	61	32	70	89	90	55	52	61	0
8	Ross Nieder	X				100.00	37	5	99	66	74	62	79	49	62	45	75	51	70	99	65	30	49	60	0
9	Will McCarthy	X				100.00	58	40	57	71	69	77	75	48	24	69	58	53	70	81	49	52	52	60	0
10	Andrew Smyth		X			100.00	38	25	72	75	67	77	52	65	24	59	45	52	70	99	79	38	52	59	0
11	Greg Barsch				X	100.00	1	1	99	55	84	52	63	68	32	68	63	98	49	99	99	13	52	68	0
12	Ty Goldthwait				X	100.00	99	50	44	61	77	56	69	61	20	47	44	75	37	99	99	20	52	68	0
13	Keith Mardirosian				X	100.00	55	42	58	78	71	77	78	72	66	60	77	59	70	99	83	63	52	68	0
14	Tom Wake				X	100.00	10	1	99	54	80	16	34	95	81	79	90	82	83	99	99	34	52	66	0
15	Alton Kesich				X	100.00	99	58	42	67	76	84	73	60	22	39	54	55	61	99	99	40	52	66	0
16	Tony Crandall				X	100.00	17	2	99	67	80	71	57	50	45	42	61	86	50	99	99	47	52	65	0
17	Samuel Manigault				X	100.00	40	12	99	63	78	79	75	60	58	60	67	49	70	99	89	57	52	63	0
18	Austin Leday				X	100.00	46	27	99	77	77	51	56	77	18	40	67	64	50	85	63	39	52	62	0
Scratches
1	Brent Clerkley			X		100.00	62	40	73	80	58	76	66	79	29	51	49	25	70	87	99	56	49	60	0
2	Stephen Vanstone	X				100.00	77	25	80	70	71	75	67	30	41	71	44	67	50	83	60	75	49	59	0
3	Rob Woodham		X			100.00	55	25	74	66	71	81	64	53	50	45	66	61	70	69	50	55	49	59	0
4	Carey Emerson			X		100.00	40	40	94	69	59	71	72	63	53	49	81	38	70	94	37	64	49	59	0
5	Cole Hungerford		X			100.00	46	20	99	68	62	79	78	48	35	49	72	38	70	80	66	52	49	58	0
6	Kurtis Mattie	X	X			100.00	57	40	65	72	58	76	68	56	62	42	75	33	70	88	78	66	49	58	0
7	Harrison Wade				X	100.00	52	42	53	74	68	82	67	61	47	51	74	47	70	67	69	59	49	61	0
8	Brent Leibel				X	100.00	35	21	99	60	74	85	57	41	84	66	73	51	70	98	59	51	49	60	0
9	Adam Crespo				X	100.00	52	33	72	63	78	1	11	66	73	73	53	70	58	87	88	65	49	58	0
10	Aaron Sonnier				X	100.00	11	35	89	63	78	41	55	56	47	59	42	73	46	93	55	46	49	58	0
11	Nate Langley				X	100.00	37	12	84	62	74	69	90	53	76	17	32	61	70	72	85	59	49	58	0
12	Cris Little				X	100.00	43	32	71	67	69	68	82	52	67	53	72	28	70	90	34	58	49	55	0

	TEAM AVERAGE					99.98	52	29	79	67	73	66	66	62	51	55	64	56	64	91	76	47	51	62

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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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Conor Phillips	100.00	83	70	63	71	69	88	68	88	83	67	72	95	50	45	53	74	0
2	Joe Applin	100.00	89	80	79	71	77	92	56	70	69	65	70	99	77	41	52	74	0
Scratches
1	Collin Lee	100.00	69	54	80	89	76	65	86	85	52	60	78	78	75	61	49	71	0
2	Shelby Kempler	100.00	75	87	74	79	73	76	51	69	63	64	64	99	76	47	49	70	0
3	Bryan Killoran	100.00	70	64	77	84	74	72	65	65	62	62	73	96	76	43	49	70	0

	TEAM AVERAGE	100.00	77	71	75	79	74	79	65	75	66	64	71	93	71	47	50	72

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeff Resler	69	83	73	76	54	74	66	USA	41	1	255,000$

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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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	FL	S1	S3
1	Jonathon Olquin	Canadaigua Lakers (Roc)	LW	7	8	3	11	3	0	0	6	6	44	11	17	18.18%	4	157	22.48	2	0	2	4	13	2	15	2	2	40.00%	20	10	0	1	1.40	0	3	1
2	Ryan Kabel	Canadaigua Lakers (Roc)	RW	6	2	4	6	5	0	0	6	10	17	3	15	11.76%	5	139	23.30	0	0	0	0	12	0	13	0	0	20.00%	30	6	0	0	0.86	0	0	0
3	Dylan Ohler	Rochester Lakers	C	6	2	4	6	3	2	0	12	15	11	3	10	18.18%	4	149	24.93	0	1	1	0	12	0	15	0	0	31.44%	194	5	5	0	0.80	0	0	1
4	Vernon Asher	Canadaigua Lakers (Roc)	C	4	1	3	4	1	0	0	0	6	8	1	9	12.50%	0	75	18.86	0	1	1	0	4	0	3	1	0	54.17%	72	1	0	0	1.06	0	0	0
5	Ronald Wyman	Canadaigua Lakers (Roc)	RW	7	1	1	2	0	0	0	15	7	16	7	11	6.25%	9	138	19.73	0	0	0	1	11	0	12	0	0	60.00%	10	2	1	0	0.29	0	0	0
6	Greg Barsch	Canadaigua Lakers (Roc)	D	7	0	2	2	-3	2	0	0	12	7	2	4	0.00%	10	153	21.90	0	0	0	1	13	1	17	0	0	0.00%	0	1	9	0	0.26	0	0	0
7	Ty Goldthwait	Canadaigua Lakers (Roc)	D	7	0	2	2	2	18	0	9	12	3	2	0	0.00%	7	148	21.28	0	0	0	1	11	0	13	0	0	0.00%	0	0	6	0	0.27	0	0	0
8	Rob Woodham	Canadaigua Lakers (Roc)	LW	6	2	0	2	-3	2	0	5	10	12	2	10	16.67%	0	98	16.49	0	0	0	0	6	0	0	0	0	100.00%	1	4	0	0	0.40	0	0	1
9	Will McCarthy	Canadaigua Lakers (Roc)	C	5	0	2	2	-4	4	0	5	6	2	0	3	0.00%	6	77	15.49	0	0	0	0	0	0	3	0	0	34.38%	32	2	1	0	0.52	0	0	0
10	Craig Stahl	Canadaigua Lakers (Roc)	RW	7	1	0	1	-2	4	0	9	2	7	2	4	14.29%	1	59	8.54	0	0	0	0	0	1	1	0	0	100.00%	2	0	1	0	0.33	0	0	0
11	Alton Kesich	Canadaigua Lakers (Roc)	D	7	0	1	1	-2	11	5	14	5	2	0	1	0.00%	6	127	18.24	0	0	0	0	10	0	14	0	0	0.00%	0	0	3	0	0.16	1	0	1
12	Tony Crandall	Canadaigua Lakers (Roc)	D	7	0	1	1	-1	0	0	0	7	1	0	0	0.00%	5	81	11.71	0	0	0	0	0	0	4	0	0	0.00%	0	1	2	0	0.24	0	0	0
13	Austin Leday	Canadaigua Lakers (Roc)	D	7	0	1	1	-1	0	0	0	1	2	3	1	0.00%	1	47	6.73	0	0	0	0	0	0	2	0	0	0.00%	0	0	1	0	0.42	0	0	0
14	Ross Nieder	Canadaigua Lakers (Roc)	C	6	0	1	1	-5	0	0	3	6	12	1	4	0.00%	5	95	15.94	0	0	0	0	6	0	2	0	0	51.85%	54	2	1	0	0.21	0	0	0
15	Samuel Manigault	Canadaigua Lakers (Roc)	D	7	0	1	1	-2	0	0	0	3	1	0	0	0.00%	1	78	11.15	0	0	0	0	0	0	8	0	0	0.00%	0	0	1	0	0.26	0	0	0
16	Raymond Hamon	Canadaigua Lakers (Roc)	LW	1	0	1	1	0	0	0	0	3	1	1	3	0.00%	0	18	18.15	0	0	0	0	0	0	1	0	0	100.00%	1	0	0	0	1.10	0	0	0
17	Tom Wake	Canadaigua Lakers (Roc)	D	1	0	0	0	-1	0	0	0	1	0	0	0	0.00%	2	10	10.40	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0.00	0	0	0
18	Scott Pospisil	Canadaigua Lakers (Roc)	RW	7	0	0	0	-4	4	0	15	8	6	2	1	0.00%	1	95	13.65	0	0	0	0	0	0	1	0	0	50.00%	6	1	1	0	0.00	0	0	0
19	Keith Mardirosian	Canadaigua Lakers (Roc)	D	7	0	0	0	-1	6	0	6	5	15	9	6	0.00%	10	161	23.12	0	0	0	3	14	3	16	0	0	0.00%	0	1	2	0	0.00	0	0	0
20	Andrew Smyth	Canadaigua Lakers (Roc)	LW	7	0	0	0	-5	0	0	3	7	7	3	7	0.00%	5	109	15.66	0	0	0	0	3	1	5	0	0	66.67%	3	3	1	0	0.00	0	0	0
21	Harrison Wade	Canadaigua Lakers (Roc)	D	6	0	0	0	-1	2	0	1	0	2	3	0	0.00%	1	37	6.28	0	0	0	0	0	0	0	0	0	0.00%	0	1	0	0	0.00	0	0	0
Team Total or Average				125	17	27	44	-21	55	5	109	132	176	55	106	9.66%	83	2062	16.50	2	2	4	10	122	8	154	3	2	39.53%	425	40	36	1	0.43	1	3	4

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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	PCT	GAA	MP	GA	SA	SAR	ST	BG	S2
1	Conor Phillips	Canadaigua Lakers (Roc)	7	3	4	0.899	3.67	376	23	228	99	7	0	2
2	Joe Applin	Canadaigua Lakers (Roc)	1	0	0	0.842	4.09	44	3	19	5	0	7	0
Team Total or Average			8	3	4	0.895	3.71	420	26	247	104	7	7	2

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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	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	CONT	Status	Type	Current Salary	Salary Year 2	Salary Year 3
Aaron Sonnier	Canadaigua Lakers (Roc)	D	29	5/9/1988	No	210 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	200,000$	200,000$
Adam Crespo	Canadaigua Lakers (Roc)	D	33	10/17/1983	No	211 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	200,000$	200,000$
Alton Kesich	Canadaigua Lakers (Roc)	D	26	10/18/1990	No	197 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	435,000$	435,000$	435,000$
Andrew Smyth	Canadaigua Lakers (Roc)	LW	21	9/3/1995	No	175 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	213,079$
Austin Leday	Canadaigua Lakers (Roc)	D	24	4/8/1993	No	182 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	225,000$
Brent Clerkley	Canadaigua Lakers (Roc)	RW	20	11/11/1996	No	170 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	286,568$	286,568$	286,568$
Brent Leibel	Canadaigua Lakers (Roc)	D	22	3/13/1995	No	234 Lbs	6 ft7	No	No	No	1	ELC	Pro & Farm	219,286$
Bryan Killoran	Canadaigua Lakers (Roc)	D	27	6/24/1989	No	225 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	200,000$
Carey Emerson	Canadaigua Lakers (Roc)	RW	19	10/22/1997	No	193 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	249,897$	249,897$	249,897$
Cole Hungerford	Canadaigua Lakers (Roc)	LW	20	8/8/1996	No	192 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	224,908$	224,908$
Collin Lee	Canadaigua Lakers (Roc)	C	30	3/9/1987	No	244 Lbs	6 ft8	No	No	No	3	UFA	Pro & Farm	273,000$	273,000$	273,000$
Conor Phillips	Canadaigua Lakers (Roc)	LW	27	4/13/1990	No	171 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	371,000$	371,000$	371,000$
Craig Stahl	Canadaigua Lakers (Roc)	RW	34	10/1/1982	No	225 Lbs	6 ft4	No	No	No	3	UFA	Pro & Farm	361,000$	361,000$	361,000$
Cris Little	Canadaigua Lakers (Roc)	D	21	7/1/1995	No	205 Lbs	6 ft5	No	No	No	1	ELC	Pro & Farm	207,529$
Greg Barsch	Canadaigua Lakers (Roc)	D	29	5/19/1988	No	248 Lbs	6 ft4	No	No	No	3	UFA	Pro & Farm	465,000$	465,000$	465,000$
Harrison Wade	Canadaigua Lakers (Roc)	D	21	1/30/1996	No	189 Lbs	6 ft6	No	No	No	1	ELC	Pro & Farm	234,679$
Joe Applin	Canadaigua Lakers (Roc)	LW	25	1/10/1992	No	166 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	371,000$	371,000$	371,000$
Jonathon Olquin	Canadaigua Lakers (Roc)	LW	20	2/21/1997	No	193 Lbs	6 ft8	No	No	No	2	ELC	Pro & Farm	250,898$	250,898$
Keith Mardirosian	Canadaigua Lakers (Roc)	D	21	9/3/1995	No	178 Lbs	6 ft5	No	No	No	1	ELC	Pro & Farm	353,600$
Kurtis Mattie	Canadaigua Lakers (Roc)	C/LW	20	12/23/1996	No	187 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	229,885$	229,885$
Nate Langley	Canadaigua Lakers (Roc)	D	22	9/2/1994	No	207 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	246,000$	246,000$	246,000$
Raymond Hamon	Canadaigua Lakers (Roc)	LW	21	9/3/1995	No	214 Lbs	6 ft8	No	No	No	1	ELC	Pro & Farm	224,293$
Rob Woodham	Canadaigua Lakers (Roc)	LW	22	5/17/1995	No	201 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	202,340$
Ronald Wyman	Canadaigua Lakers (Roc)	RW	32	6/27/1984	No	232 Lbs	6 ft4	No	No	No	3	UFA	Pro & Farm	446,000$	446,000$	446,000$
Ross Nieder	Canadaigua Lakers (Roc)	C	23	10/8/1993	No	190 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	253,000$	253,000$	253,000$
Ryan Kabel	Canadaigua Lakers (Roc)	RW	21	3/25/1996	No	216 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	455,000$
Samuel Manigault	Canadaigua Lakers (Roc)	D	22	5/22/1995	No	210 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	295,000$	295,000$	295,000$
Scott Pospisil	Canadaigua Lakers (Roc)	RW	28	1/9/1989	No	213 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	417,000$	417,000$	417,000$
Shelby Kempler	Canadaigua Lakers (Roc)	LW	28	9/10/1988	No	204 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	250,000$
Stephen Vanstone	Canadaigua Lakers (Roc)	C	23	1/20/1994	No	185 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	267,000$	267,000$	267,000$
Tom Wake	Canadaigua Lakers (Roc)	D	33	11/13/1983	No	235 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	398,000$	398,000$	398,000$
Tony Crandall	Canadaigua Lakers (Roc)	D	24	2/22/1993	No	210 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	364,100$
Ty Goldthwait	Canadaigua Lakers (Roc)	D	29	6/1/1988	No	214 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	415,000$
Vernon Asher	Canadaigua Lakers (Roc)	C	24	4/30/1993	No	205 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	330,000$	330,000$	330,000$
Will McCarthy	Canadaigua Lakers (Roc)	C	19	2/15/1998	No	224 Lbs	6 ft5	No	No	No	3	ELC	Pro & Farm	242,576$	242,576$	242,576$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
35	24.57	204 Lbs	6 ft3	2.11	296,475$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jonathon Olquin		Ryan Kabel	40	1	2	2
2	Raymond Hamon	Vernon Asher	Ronald Wyman	30	1	2	2
3	Andrew Smyth	Will McCarthy	Craig Stahl	20	1	2	2
4	Ryan Kabel		Scott Pospisil	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Goldthwait	Keith Mardirosian	40	1	2	2
2	Greg Barsch	Alton Kesich	30	1	2	2
3	Tom Wake	Tony Crandall	20	1	2	2
4	Samuel Manigault	Austin Leday	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jonathon Olquin		Ryan Kabel	60	1	2	2
2	Raymond Hamon	Vernon Asher	Ronald Wyman	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Goldthwait	Keith Mardirosian	60	1	2	2
2	Greg Barsch	Alton Kesich	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Ryan Kabel	60	1	2	2
2	Jonathon Olquin	Ronald Wyman	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Goldthwait	Keith Mardirosian	60	1	2	2
2	Greg Barsch	Alton Kesich	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2	Ty Goldthwait	Keith Mardirosian	60	1	2	2
2	Ryan Kabel	40	1	2	2	Greg Barsch	Alton Kesich	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Ryan Kabel	60	1	2	2
2	Jonathon Olquin	Ronald Wyman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Goldthwait	Keith Mardirosian	60	1	2	2
2	Greg Barsch	Alton Kesich	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jonathon Olquin		Ryan Kabel	Ty Goldthwait	Keith Mardirosian

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jonathon Olquin		Ryan Kabel	Ty Goldthwait	Keith Mardirosian

Extra Forwards
Normal	PowerPlay	Penalty Kill
Craig Stahl, Scott Pospisil, Will McCarthy	Craig Stahl, Scott Pospisil	Will McCarthy

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Tom Wake, Tony Crandall, Samuel Manigault	Tom Wake	Tony Crandall, Samuel Manigault

Penalty Shots
, Ryan Kabel, Jonathon Olquin, Ronald Wyman, Craig Stahl

Goalie
#1 : Conor Phillips, #2 : Joe Applin

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

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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.
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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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	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
1	Bowling Green Red Devils	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	10	17	0	0	4	3	9	1	59	53	54	68	1	85	29	16	27	5	1	20.00%	8	2	75.00%	0	50	128	39.06%	78	193	40.41%	40	104	38.46%	128	63	155	68	137	67
2	Dayton Clippers	1	0	0	0	1	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	2	1	1	2	1.000	2	2	4	0	0	4	3	9	1	11	53	54	68	1	19	11	6	22	2	0	0.00%	3	0	100.00%	0	50	128	39.06%	78	193	40.41%	40	104	38.46%	128	63	155	68	137	67
3	Johnstown Yellow Jackets	1	0	1	0	0	0	0	0	1	7	-6	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	1	2	3	0	0	4	3	9	1	21	53	54	68	1	30	9	11	15	2	0	0.00%	3	2	33.33%	0	50	128	39.06%	78	193	40.41%	40	104	38.46%	128	63	155	68	137	67
4	Niagara Falls Wings	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	4	3	9	1	24	53	54	68	1	36	16	10	18	1	1	100.00%	5	1	80.00%	0	50	128	39.06%	78	193	40.41%	40	104	38.46%	128	63	155	68	137	67
5	Scarborough Royals	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	8	12	0	0	4	3	9	1	61	53	54	68	1	77	18	12	27	5	0	0.00%	6	2	66.67%	0	50	128	39.06%	78	193	40.41%	40	104	38.46%	128	63	155	68	137	67
	Since Last GM Reset	7	2	4	0	1	0	0	0	17	26	-9	3	2	1	0	0	0	0	0	9	9	0	4	0	3	0	1	0	0	0	8	17	-9	6	0.429	17	27	44	0	0	4	3	9	1	176	53	54	68	1	247	83	55	109	15	2	13.33%	25	7	72.00%	0	50	128	39.06%	78	193	40.41%	40	104	38.46%	128	63	155	68	137	67
	Total	7	2	4	0	1	0	0	0	17	26	-9	3	2	1	0	0	0	0	0	9	9	0	4	0	3	0	1	0	0	0	8	17	-9	6	0.429	17	27	44	0	0	4	3	9	1	176	53	54	68	1	247	83	55	109	15	2	13.33%	25	7	72.00%	0	50	128	39.06%	78	193	40.41%	40	104	38.46%	128	63	155	68	137	67
	Vs Conference	7	2	4	0	1	0	0	0	17	26	-9	3	2	1	0	0	0	0	0	9	9	0	4	0	3	0	1	0	0	0	8	17	-9	6	0.429	17	27	44	0	0	4	3	9	1	176	53	54	68	1	247	83	55	109	15	2	13.33%	25	7	72.00%	0	50	128	39.06%	78	193	40.41%	40	104	38.46%	128	63	155	68	137	67
	Vs Division	7	2	4	0	1	0	0	0	17	26	-9	3	2	1	0	0	0	0	0	9	9	0	4	0	3	0	1	0	0	0	8	17	-9	6	0.429	17	27	44	0	0	4	3	9	1	176	53	54	68	1	247	83	55	109	15	2	13.33%	25	7	72.00%	0	50	128	39.06%	78	193	40.41%	40	104	38.46%	128	63	155	68	137	67

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
7	6	W1	17	27	44	176	247	83	55	109	0	0

All Games
GP	W	L	OTW	OTL	T	GF	GA
7	2	4	1	0	0	17	26

Home Games
GP	W	L	OTW	OTL	T	GF	GA
3	2	1	0	0	0	9	9

Visitor Games
GP	W	L	OTW	OTL	T	GF	GA
4	0	3	1	0	0	8	17

Last 10 Games
W	L	OTW	OTL	T
2	4	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
15	2	13.33%	25	7	72.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
53	54	68	1	4	3	9	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
50	128	39.06%	78	193	40.41%	40	104	38.46%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
128	63	155	68	137	67

Last Played Games

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
2 - 2017-12-10	8	Canadaigua Lakers	3	Bowling Green Red Devils	5	L		BoxScore
4 - 2017-12-12	17	Canadaigua Lakers	1	Johnstown Yellow Jackets	7	L		BoxScore
5 - 2017-12-13	22	Canadaigua Lakers	2	Dayton Clippers	1	W	X	BoxScore
6 - 2017-12-14	29	Niagara Falls Wings	2	Canadaigua Lakers	3	W		BoxScore
10 - 2017-12-18	53	Scarborough Royals	5	Canadaigua Lakers	2	L		BoxScore
14 - 2017-12-22	74	Canadaigua Lakers	2	Scarborough Royals	4	L		BoxScore
16 - 2017-12-24	79	Bowling Green Red Devils	2	Canadaigua Lakers	4	W		BoxScore
19 - 2017-12-27	99	Johnstown Yellow Jackets	-	Canadaigua Lakers	-
21 - 2017-12-29	114	Dayton Clippers	-	Canadaigua Lakers	-
25 - 2018-01-02	139	Lafayette Racers	-	Canadaigua Lakers	-
29 - 2018-01-06	152	Canadaigua Lakers	-	Lafayette Racers	-
31 - 2018-01-08	165	Montpelier Cougars	-	Canadaigua Lakers	-
34 - 2018-01-11	180	Canadaigua Lakers	-	Williamsburg Dragons	-
36 - 2018-01-13	192	Dayton Clippers	-	Canadaigua Lakers	-
38 - 2018-01-15	205	Canadaigua Lakers	-	Augusta Wolves	-
40 - 2018-01-17	218	Canadaigua Lakers	-	Virginia Beach Mariners	-
42 - 2018-01-19	231	Charlottesville Robins	-	Canadaigua Lakers	-
44 - 2018-01-21	237	Canadaigua Lakers	-	Napean Spartans	-
46 - 2018-01-23	249	Canadaigua Lakers	-	Columbia Tigers	-
48 - 2018-01-25	264	Elmira Roadrunners	-	Canadaigua Lakers	-
50 - 2018-01-27	275	Canadaigua Lakers	-	Troy Indians	-
52 - 2018-01-29	290	Columbia Tigers	-	Canadaigua Lakers	-
55 - 2018-02-01	305	Arlington Americans	-	Canadaigua Lakers	-
59 - 2018-02-05	327	Canadaigua Lakers	-	Longueuil Voyageurs	-
61 - 2018-02-07	337	Virginia Beach Mariners	-	Canadaigua Lakers	-
64 - 2018-02-10	354	Reading Patriots	-	Canadaigua Lakers	-
66 - 2018-02-12	367	Canadaigua Lakers	-	Bowling Green Red Devils	-
68 - 2018-02-14	373	Canadaigua Lakers	-	Charlottesville Robins	-
70 - 2018-02-16	385	Niagara Falls Wings	-	Canadaigua Lakers	-
75 - 2018-02-21	409	Bowling Green Red Devils	-	Canadaigua Lakers	-
80 - 2018-02-26	435	Harrisburg Rockets	-	Canadaigua Lakers	-
83 - 2018-03-01	454	Canadaigua Lakers	-	Arlington Americans	-
85 - 2018-03-03	461	Cape Breton Kings	-	Canadaigua Lakers	-
88 - 2018-03-06	479	Canadaigua Lakers	-	Niagara Falls Wings	-
89 - 2018-03-07	488	Williamsburg Dragons	-	Canadaigua Lakers	-
92 - 2018-03-10	501	Canadaigua Lakers	-	Niagara Falls Wings	-
94 - 2018-03-12	512	Canadaigua Lakers	-	Reading Patriots	-
95 - 2018-03-13	520	Longueuil Voyageurs	-	Canadaigua Lakers	-
99 - 2018-03-17	539	Canadaigua Lakers	-	Lafayette Racers	-
100 - 2018-03-18	549	Beverly Jr. Eagles	-	Canadaigua Lakers	-
103 - 2018-03-21	564	Canadaigua Lakers	-	Johnstown Yellow Jackets	-
105 - 2018-03-23	572	Scarborough Royals	-	Canadaigua Lakers	-
106 - 2018-03-24	579	Canadaigua Lakers	-	Scarborough Royals	-
108 - 2018-03-26	594	Canadaigua Lakers	-	Lowell Plainsmen	-
110 - 2018-03-28	602	Canadaigua Lakers	-	Pawtucket Reds	-
Trade Deadline --- Trades can’t be done after this day is simulated!
114 - 2018-04-01	614	Canadaigua Lakers	-	Harrisburg Rockets	-
115 - 2018-04-02	619	Amherst Winterhawks	-	Canadaigua Lakers	-
118 - 2018-04-05	637	Lafayette Racers	-	Canadaigua Lakers	-
120 - 2018-04-07	647	Canadaigua Lakers	-	Dayton Clippers	-
123 - 2018-04-10	663	Watertown Bulls	-	Canadaigua Lakers	-
125 - 2018-04-12	672	Canadaigua Lakers	-	Dayton Clippers	-
128 - 2018-04-15	690	Canadaigua Lakers	-	Charlesbourg Cavaliers	-
130 - 2018-04-17	700	Montpelier Cougars	-	Canadaigua Lakers	-
134 - 2018-04-21	719	Johnstown Yellow Jackets	-	Canadaigua Lakers	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
24	0 - 0.00%	0$	0$	3000	110

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,594,159$	2,594,159$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date
312,937$	18,935$	312,937$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	120	18,935$	2,272,200$

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	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
Regular Season
07-08	80	32	31	9	3	5	0	0	249	244	5	40	17	15	3	2	3	0	0	122	118	4	40	15	16	6	1	2	0	0	127	126	1	73	249	408	657	0	3	75	93	78	3	2527	906	844	745	32	2307	784	1045	1763	240	49	20.42%	188	38	79.79%	5	883	1748	50.51%	840	1709	49.15%	604	1261	47.90%	1557	750	1569	829	1733	855
08-09	80	40	28	6	2	4	0	0	290	240	50	40	23	13	1	1	2	0	0	151	115	36	40	17	15	5	1	2	0	0	139	125	14	86	290	490	780	3	4	82	107	99	2	2488	813	849	802	24	2353	809	570	1629	222	57	25.68%	185	37	80.00%	5	863	1710	50.47%	863	1687	51.16%	620	1228	50.49%	1577	749	3400	1813	1756	884
09-10	80	35	29	7	2	7	0	0	247	229	18	40	15	17	3	1	4	0	0	126	122	4	40	20	12	4	1	3	0	0	121	107	14	77	247	388	635	1	4	58	87	100	2	2264	667	765	814	18	2294	749	712	1391	206	50	24.27%	212	44	79.25%	9	840	1601	52.47%	810	1593	50.85%	629	1236	50.89%	1472	663	5272	2818	1828	896
10-11	80	25	33	11	6	5	0	0	277	294	-17	40	13	13	9	3	2	0	0	136	139	-3	40	12	20	2	3	3	0	0	141	155	-14	61	277	459	736	3	1	71	96	104	6	2571	755	889	891	36	2466	843	480	1450	191	50	26.18%	186	40	78.49%	4	989	1839	53.78%	879	1759	49.97%	603	1175	51.32%	1540	725	1561	819	1771	889
11-12	80	30	33	8	5	4	0	0	270	282	-12	40	13	18	4	3	2	0	0	128	145	-17	40	17	15	4	2	2	0	0	142	137	5	68	270	436	706	4	2	68	105	92	5	2423	738	861	782	42	2461	830	469	1438	168	54	32.14%	222	49	77.93%	4	885	1703	51.97%	915	1797	50.92%	588	1139	51.62%	1498	698	1605	832	1750	856
12-13	80	31	32	9	4	4	0	0	279	292	-13	40	19	13	4	2	2	0	0	147	134	13	40	12	19	5	2	2	0	0	132	158	-26	71	279	462	741	1	1	86	107	82	4	2770	1049	863	833	25	2599	850	678	1796	190	49	25.79%	299	70	76.59%	7	1050	1913	54.89%	1099	1974	55.67%	626	1221	51.27%	1614	806	1601	813	1645	808
13-14	80	28	35	11	4	2	0	0	298	335	-37	40	15	14	9	1	1	0	0	154	157	-3	40	13	21	2	3	1	0	0	144	178	-34	67	298	502	800	1	0	97	92	105	4	3005	1110	988	879	28	2860	957	525	1805	208	46	22.12%	226	48	78.76%	3	1069	2128	50.23%	1026	2102	48.81%	636	1343	47.36%	1621	849	1656	792	1588	771
14-15	80	28	34	7	8	3	0	0	327	347	-20	40	16	17	3	3	1	0	0	158	166	-8	40	12	17	4	5	2	0	0	169	181	-12	63	327	539	866	1	0	111	111	97	8	3116	1147	1000	951	18	3137	1095	568	1769	216	53	24.54%	216	48	77.78%	7	941	2070	45.46%	1031	2263	45.56%	586	1392	42.10%	1621	882	1732	765	1494	729
15-16	80	21	47	9	1	2	0	0	269	334	-65	40	10	24	4	1	1	0	0	136	171	-35	40	11	23	5	0	1	0	0	133	163	-30	51	269	446	715	2	0	73	105	90	1	2878	1085	958	822	13	2945	1015	478	1683	211	35	16.59%	198	37	81.31%	5	1017	2026	50.20%	1067	2080	51.30%	649	1256	51.67%	1640	853	1630	767	1578	797
16-17	80	29	35	7	6	3	0	0	273	278	-5	40	17	14	4	4	1	0	0	130	118	12	40	12	21	3	2	2	0	0	143	160	-17	65	273	432	705	2	2	81	98	88	6	2502	832	837	800	33	2609	797	568	1468	248	62	25.00%	233	56	75.97%	3	783	1844	42.46%	860	1994	43.13%	489	1196	40.89%	1565	780	1672	785	1621	816
1001	7	2	4	0	1	0	0	0	17	26	-9	3	2	1	0	0	0	0	0	9	9	0	4	0	3	0	1	0	0	0	8	17	-9	6	17	27	44	0	0	4	3	9	1	176	53	54	68	1	247	83	55	109	15	2	13.33%	25	7	72.00%	0	50	128	39.06%	78	193	40.41%	40	104	38.46%	128	63	155	68	137	67
Total Regular Season	807	301	341	84	42	39	0	0	2796	2901	-105	403	160	159	44	21	19	0	0	1397	1394	3	404	141	182	40	21	20	0	0	1399	1507	-108	688	2796	4589	7385	18	17	806	1004	944	42	26720	9155	8908	8387	270	26278	8812	6148	16301	2115	507	23.97%	2190	474	78.36%	52	9370	18710	50.08%	9468	19151	49.44%	6070	12551	48.36%	15838	7823	21858	11106	16908	8374