NorthEastern Hockey League - Rochester Lakers

Canadaigua Lakers
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
History
Last Transactions
Injury / Suspension
Career Team Stat

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	#	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	Austin Travillian	22			X		99.35	18	1	99	60	75	99	83	99	62	99	99	91	89	99	96	4	51	82	0
2	Matt Atcher	26		X			99.96	1	1	99	62	83	91	64	96	89	97	99	98	99	99	75	12	51	80	0
3	Geoffrey Palaia	16	X				100.00	54	21	79	73	76	85	82	81	87	88	94	69	70	93	57	49	79	76	0
4	Kevin Koetter	23		X			100.00	85	40	9	73	70	77	70	83	15	89	95	62	70	92	55	60	77	73	0
5	Desmond Haymer	0	X				100.00	86	29	54	60	81	72	70	77	99	78	80	44	69	99	84	22	71	69	0
6	Danny Toland (R)	0		X			100.00	72	26	99	72	61	85	61	69	18	64	97	55	50	73	73	65	76	68	0
7	Travis Lalor	0	X				100.00	5	1	99	60	84	74	64	64	40	81	90	65	50	99	69	52	57	68	0
8	Owen McMullan	0	X				100.00	2	1	99	63	78	84	77	86	52	59	93	43	50	99	97	27	57	68	0
9	Jonathon Olquin	0		X			100.00	25	5	99	74	80	78	80	90	52	61	87	24	70	99	93	40	78	68	0
10	Richard Villalobos	0			X		100.00	99	24	59	62	76	45	64	63	84	67	63	68	68	99	99	21	32	66	0
11	Ronald Wyman	0	X		X		100.00	85	11	86	57	83	52	65	70	83	72	71	50	75	99	99	32	43	66	0
12	Shawn Vacheresse	7				X	100.00	99	34	29	73	82	99	77	95	49	92	86	98	56	99	80	11	54	84	0
13	Marc Respress	34				X	98.31	3	1	99	83	67	71	49	99	24	99	99	93	50	97	99	39	47	77	0
14	Shane Lorelli	2				X	100.00	93	42	52	79	74	76	47	99	25	74	98	79	70	99	76	51	76	77	0
15	Lloyd Pooser	4				X	100.00	99	36	23	63	82	61	60	79	42	42	78	92	75	99	99	24	65	74	0
16	Keith Mardirosian	0				X	100.00	63	26	56	76	76	83	78	72	66	59	77	60	70	99	93	53	62	69	0
17	Nicholas Clausen	5			X	X	100.00	99	36	24	65	76	71	87	63	84	42	33	67	46	99	99	19	70	68	0
18	Riley Sutulovich	0				X	100.00	99	29	37	78	68	61	68	65	86	72	89	34	99	99	89	13	46	67	0
Scratches
1	Albert Hope	0		X			0.00	30	1	99	55	84	46	58	93	99	97	86	37	77	99	99	33	41	70	0
2	Casey Frazier	0			X		0.00	89	24	55	73	45	84	50	66	46	52	92	94	50	90	74	65	53	70	0
3	Gerardo Culley	0		X			100.00	1	1	99	68	72	54	77	83	80	96	94	5	92	99	92	26	33	67	0
4	Jarrod Rusch	0			X		100.00	1	1	99	68	81	60	59	68	1	73	81	59	82	99	84	1	20	65	0
5	Mike Rucinski	0				X	84.58	1	1	99	63	76	15	33	91	68	89	89	87	77	99	99	23	42	68	0

	TEAM AVERAGE					90.53	53	17	72	68	75	71	66	80	59	76	86	64	70	97	86	32	56	71

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Craig Johnson	100.00	62	36	73	78	71	95	99	99	99	71	76	84	99	45	19	80	0
2	Conor Phillips	100.00	73	70	63	72	69	94	72	93	88	67	72	99	54	41	70	76	0
Scratches
1	Jarrod Daniel	89.68	62	51	73	78	70	99	99	99	99	74	83	99	99	5	71	83	0

	TEAM AVERAGE	96.56	66	52	70	76	70	96	90	97	95	71	77	94	84	30	53	80

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeff Taber	75	84	78	99	81	99	49	USA	49	3	1,200,000$

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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap
Albert Hope (Out of Payroll)	Rochester Lakers	LW	33	1/17/1986	No	245 Lbs	6 ft5	No	No	No	1	UFA	Pro & Farm	500,000$	500,000$	500,000$	No
Austin Travillian	Rochester Lakers	RW	30	10/31/1988	No	206 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	3,333,333$	3,333,333$	3,333,333$	No
Casey Frazier (Out of Payroll)	Rochester Lakers	RW	20	1/19/1999	No	180 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	550,000$	550,000$	550,000$	No
Conor Phillips	Rochester Lakers	G	28	4/13/1990	No	174 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	391,515$	391,515$	391,515$	No
Craig Johnson	Rochester Lakers	G	36	11/16/1982	No	207 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	700,000$	700,000$	700,000$	No
Danny Toland	Rochester Lakers	LW	19	1/9/2000	Yes	190 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	555,769$	555,769$	555,769$	No
Desmond Haymer	Rochester Lakers	C	29	12/14/1989	No	229 Lbs	6 ft5	No	No	No	2	UFA	Pro & Farm	550,000$	550,000$	550,000$	No
Geoffrey Palaia	Rochester Lakers	C	22	9/19/1996	No	188 Lbs	6 ft4	No	No	No	1	ELC	Pro & Farm	565,385$	565,385$	565,385$	No
Gerardo Culley	Rochester Lakers	LW	33	6/21/1985	No	190 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	490,000$	490,000$	490,000$	No
Jarrod Daniel (Out of Payroll)	Rochester Lakers	G	37	9/16/1981	No	205 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No
Jarrod Rusch	Rochester Lakers	RW	29	6/23/1989	No	212 Lbs	6 ft9	No	No	No	3	UFA	Pro & Farm	400,000$	400,000$	400,000$	No
Jonathon Olquin	Rochester Lakers	LW	21	2/21/1997	No	198 Lbs	6 ft8	No	No	No	1	ELC	Pro & Farm	250,898$	250,898$	250,898$	No
Keith Mardirosian	Rochester Lakers	D	23	9/3/1995	No	184 Lbs	6 ft5	No	No	No	4	RFA	Pro & Farm	450,000$	450,000$	450,000$	No
Kevin Koetter	Rochester Lakers	LW	21	9/30/1997	No	178 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	401,466$	401,466$	401,466$	No
Lloyd Pooser	Rochester Lakers	D	34	5/16/1984	No	224 Lbs	6 ft8	No	No	No	2	UFA	Pro & Farm	2,600,000$	2,600,000$	2,600,000$	No
Marc Respress	Rochester Lakers	D	24	3/19/1994	No	152 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	900,000$	900,000$	900,000$	No
Matt Atcher	Rochester Lakers	LW	29	1/14/1990	No	229 Lbs	6 ft6	No	No	No	5	UFA	Pro & Farm	1,025,000$	1,025,000$	1,025,000$	No
Mike Rucinski (Out of Payroll)	Rochester Lakers	D	36	6/27/1982	No	205 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	455,000$	455,000$	455,000$	No
Nicholas Clausen	Rochester Lakers	RW/D	34	5/24/1984	No	206 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	550,000$	550,000$	550,000$	No
Owen McMullan	Rochester Lakers	C	26	10/11/1992	No	213 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	440,000$	440,000$	440,000$	No
Richard Villalobos	Rochester Lakers	RW	34	6/1/1984	No	210 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	400,000$	400,000$	400,000$	No
Riley Sutulovich	Rochester Lakers	D	28	3/8/1990	No	164 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	430,000$	430,000$	430,000$	No
Ronald Wyman	Rochester Lakers	C/RW	34	6/27/1984	No	234 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	575,000$	575,000$	575,000$	No
Shane Lorelli	Rochester Lakers	D	25	11/6/1993	No	178 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	640,000$	640,000$	640,000$	No
Shawn Vacheresse	Rochester Lakers	D	30	7/8/1988	No	205 Lbs	6 ft11	No	No	No	5	UFA	Pro & Farm	2,555,750$	2,555,750$	2,555,750$	No
Travis Lalor	Rochester Lakers	C	26	6/19/1992	No	233 Lbs	6 ft7	No	No	No	1	RFA	Pro & Farm	355,000$	355,000$	355,000$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	28.50	202 Lbs	6 ft3	2.12	906,312$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
23,564,116$	14,792,833$	9,309,852$	5,026,519$	3,580,750$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matt Atcher	Geoffrey Palaia	Austin Travillian	40	1	2	2
2	Kevin Koetter	Desmond Haymer	Nicholas Clausen	30	1	2	2
3	Danny Toland	Travis Lalor	Richard Villalobos	20	1	2	2
4	Jonathon Olquin	Owen McMullan	Ronald Wyman	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shawn Vacheresse	Marc Respress	40	1	2	2
2	Shane Lorelli	Lloyd Pooser	30	1	2	2
3	Keith Mardirosian	Riley Sutulovich	20	1	2	2
4	Shawn Vacheresse	Marc Respress	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matt Atcher	Geoffrey Palaia	Austin Travillian	60	1	2	2
2	Kevin Koetter	Desmond Haymer	Nicholas Clausen	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shawn Vacheresse	Marc Respress	60	1	2	2
2	Shane Lorelli	Lloyd Pooser	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Austin Travillian	Matt Atcher	60	1	2	2
2	Geoffrey Palaia	Kevin Koetter	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shawn Vacheresse	Marc Respress	60	1	2	2
2	Shane Lorelli	Lloyd Pooser	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Austin Travillian	60	1	2	2	Shawn Vacheresse	Marc Respress	60	1	2	2
2	Matt Atcher	40	1	2	2	Shane Lorelli	Lloyd Pooser	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Austin Travillian	Matt Atcher	60	1	2	2
2	Geoffrey Palaia	Kevin Koetter	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shawn Vacheresse	Marc Respress	60	1	2	2
2	Shane Lorelli	Lloyd Pooser	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Matt Atcher	Geoffrey Palaia	Austin Travillian	Shawn Vacheresse	Marc Respress

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Matt Atcher	Geoffrey Palaia	Austin Travillian	Shawn Vacheresse	Marc Respress

Extra Forwards
Normal	PowerPlay	Penalty Kill
Danny Toland, Jonathon Olquin, Travis Lalor	Danny Toland, Jonathon Olquin	Travis Lalor

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Keith Mardirosian, Riley Sutulovich, Nicholas Clausen	Keith Mardirosian	Riley Sutulovich, Nicholas Clausen

Penalty Shots
Austin Travillian, Matt Atcher, Geoffrey Palaia, Kevin Koetter, Desmond Haymer

Goalie
#1 : Craig Johnson, #2 : Conor Phillips

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

Custom OT Lines Defensemen
, , , ,

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

	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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	T
0	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games 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

Day	Game	Visitor Team	Score	Home Team	Score
2 - 2019-09-03	5	Rochester Lakers	-	Pittsburgh Yellow Jackets	-
4 - 2019-09-05	13	Rochester Lakers	-	Pittsburgh Yellow Jackets	-
6 - 2019-09-07	21	Pittsburgh Yellow Jackets	-	Rochester Lakers	-
8 - 2019-09-09	29	Pittsburgh Yellow Jackets	-	Rochester Lakers	-
10 - 2019-09-11	37	Rochester Lakers	-	Pittsburgh Yellow Jackets	-
12 - 2019-09-13	45	Pittsburgh Yellow Jackets	-	Rochester Lakers	-
14 - 2019-09-15	53	Rochester Lakers	-	Pittsburgh Yellow Jackets	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	2600	1800	1200	1000	800
Ticket Price	95	77	61	42	243
Attendance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
40	0 - 0.00%	0$	0$	7400	155

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	18,559,116$	18,559,116$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	392,484$	22	4

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	14	0$	0$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	37,593,499$	37,593,499$

Depth Chart

Left Wing

Center

Right Wing

Matt Atcher	AGE:29	PO:12	OV:80
Kevin Koetter	AGE:21	PO:60	OV:73
Albert Hope	AGE:33	PO:33	OV:70
*Danny Toland	AGE:19	PO:65	OV:68
Jonathon Olquin	AGE:21	PO:40	OV:68
Gerardo Culley	AGE:33	PO:26	OV:67
Raymond Hamon	AGE:23	PO:48	OV:66
*Chris Kinatyan	AGE:19	PO:83	OV:61
Phil Barney	AGE:19	PO:39	OV:61
Kurtis Mattie	AGE:22	PO:61	OV:58
Cole Hungerford	AGE:22	PO:46	OV:58
Eric Gormley	AGE:22	PO:56	OV:57
Peter Carias	AGE:19	PO:56	OV:56

Geoffrey Palaia	AGE:22	PO:49	OV:76
Desmond Haymer	AGE:29	PO:22	OV:69
Travis Lalor	AGE:26	PO:52	OV:68
Dylan Ohler	AGE:23	PO:33	OV:68
Owen McMullan	AGE:26	PO:27	OV:68
Ronald Wyman	AGE:34	PO:32	OV:66
*Troy Altman	AGE:19	PO:68	OV:65
Tyler MacKessy	AGE:24	PO:37	OV:64
Vernon Asher	AGE:25	PO:15	OV:64
*Devin Wohler	AGE:18	PO:61	OV:60
Micah Erdahl	AGE:20	PO:44	OV:59
Kurtis Mattie	AGE:22	PO:61	OV:58
Will McCarthy	AGE:20	PO:47	OV:58

Austin Travillian	AGE:30	PO:4	OV:82
Casey Frazier	AGE:20	PO:65	OV:70
Nicholas Clausen	AGE:34	PO:19	OV:68
Ronald Wyman	AGE:34	PO:32	OV:66
Richard Villalobos	AGE:34	PO:21	OV:66
Gabriel Larrow	AGE:20	PO:50	OV:65
Jarrod Rusch	AGE:29	PO:1	OV:65
Craig Stahl	AGE:36	PO:16	OV:63
Brent Clerkley	AGE:22	PO:51	OV:59
Carey Emerson	AGE:21	PO:61	OV:58
*Stefan Karlsson	AGE:19	PO:66	OV:57

Defense #1

Defense #2

Goalie

Shawn Vacheresse	AGE:30	PO:11	OV:84
Shane Lorelli	AGE:25	PO:51	OV:77
Marc Respress	AGE:24	PO:39	OV:77
Lloyd Pooser	AGE:34	PO:24	OV:74
Keith Mardirosian	AGE:23	PO:53	OV:69
Mike Rucinski	AGE:36	PO:23	OV:68
Nicholas Clausen	AGE:34	PO:19	OV:68
John Necaise	AGE:33	PO:39	OV:67
Alton Kesich	AGE:28	PO:33	OV:67

Riley Sutulovich	AGE:28	PO:13	OV:67
Joel Eatman	AGE:29	PO:24	OV:66
Tony Crandall	AGE:25	PO:38	OV:65
*Jon Reid	AGE:18	PO:63	OV:62
Samuel Manigault	AGE:23	PO:51	OV:61
Austin Leday	AGE:25	PO:30	OV:61
Nathan Soucy	AGE:24	PO:73	OV:60
*Loren Timmins	AGE:18	PO:51	OV:59
Garrett Stiltner	AGE:25	PO:45	OV:58

Jarrod Daniel	AGE:37	PO:5	OV:83
Craig Johnson	AGE:36	PO:45	OV:80
Conor Phillips	AGE:28	PO:41	OV:76
Kyle Hill	AGE:30	PO:17	OV:75
Eric Wisch	AGE:19	PO:72	OV:74
Joe Applin	AGE:27	PO:33	OV:74
Kent Barone	AGE:26	PO:30	OV:65

Prospects

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

Prospect	Team Name	Draft Year	Overall Pick	Information	Lien

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7	R8
17	Roc	Roc	Roc	Roc Bal		Wor Roc	Roc	Roc
18	Roc	Roc	Roc	Roc	Roc	Roc	Roc	Roc
19	Roc	Roc	Roc	Roc	Roc	Roc	Roc	Roc
20	Roc	Roc	Roc	Roc	Roc	Roc	Roc	Roc
21	Roc	Roc	Roc	Roc	Roc	Roc	Roc	Roc

[9/2/2019 1:31:47 PM] - Canadaigua Lakers didn't make playoff for year 16.
[7/7/2019 3:11:30 PM] - Nathan Soucy signed with Rochester Lakers for $207,500 for 1 year(s).
[7/7/2019 3:11:30 PM] - Nathan Soucy was added to Rochester Lakers.
[7/7/2019 3:11:03 PM] - Joel Eatman signed with Rochester Lakers for $250,000 for 1 year(s).
[7/7/2019 3:11:03 PM] - Joel Eatman was added to Rochester Lakers.
[7/4/2019 9:35:17 PM] - TRADE : From Worcester Plainsmen to Rochester Lakers : Travis Lalor (68), Y:17-RND:6-Wor.
[7/4/2019 9:35:17 PM] - TRADE : From Rochester Lakers to Worcester Plainsmen : Will Rayner (66), Y:17-RND:5-Roc.
[6/15/2019 12:49:01 PM] - TRADE : From Rochester Lakers to Baltimore Tigers : Hunter Gebhardt (66), Ryan Kabel (66).
[6/15/2019 12:49:01 PM] - TRADE : From Baltimore Tigers to Rochester Lakers : Albert Hope (71), Y:17-RND:4-Bal.
[6/13/2019 11:29:49 PM] - Cris Little was released.
[6/13/2019 11:29:49 PM] - Rochester Lakers paid $0 to release Cris Little.
[6/13/2019 11:29:46 PM] - Stephen Vanstone was released.
[6/13/2019 11:29:46 PM] - Rochester Lakers paid $0 to release Stephen Vanstone.
[6/13/2019 11:29:44 PM] - Rob Woodham was released.
[6/13/2019 11:29:44 PM] - Rochester Lakers paid $0 to release Rob Woodham.
[6/13/2019 11:29:41 PM] - Harrison Wade was released.
[6/13/2019 11:29:41 PM] - Rochester Lakers paid $0 to release Harrison Wade.
[6/13/2019 11:29:38 PM] - Brent Leibel was released.
[6/13/2019 11:29:38 PM] - Rochester Lakers paid $0 to release Brent Leibel.
[6/13/2019 11:29:34 PM] - Andrew Smyth was released.
[6/13/2019 11:29:34 PM] - Rochester Lakers paid $0 to release Andrew Smyth.
[6/10/2019 9:50:06 PM] - Tyson Souter was released.
[6/10/2019 9:50:06 PM] - Craig Gethers was released.
[6/9/2019 4:30:48 PM] - Canadaigua Lakers hired Jeff Hodgen for $240,000 for 3 year(s).
[6/9/2019 11:41:24 AM] - Kent Barone signed with Rochester Lakers for $210,000 for 1 year(s).
[6/9/2019 11:41:24 AM] - Kent Barone was added to Rochester Lakers.
[6/9/2019 11:41:08 AM] - Kyle Hill signed with Rochester Lakers for $423,500 for 3 year(s).
[6/9/2019 11:41:08 AM] - Kyle Hill was added to Rochester Lakers.
[6/9/2019 12:44:24 AM] - Will Rayner signed with Rochester Lakers for $360,000 for 2 year(s).
[6/9/2019 12:44:24 AM] - Will Rayner was added to Rochester Lakers.
[6/9/2019 12:43:55 AM] - Riley Sutulovich signed with Rochester Lakers for $430,000 for 1 year(s).
[6/9/2019 12:43:55 AM] - Riley Sutulovich was added to Rochester Lakers.
[6/9/2019 12:43:42 AM] - Mike Rucinski signed with Rochester Lakers for $455,000 for 1 year(s).
[6/9/2019 12:43:42 AM] - Mike Rucinski was added to Rochester Lakers.
[6/7/2019 10:52:55 PM] - Jarrod Rusch signed with Rochester Lakers for $400,000 for 3 year(s).
[6/7/2019 10:52:55 PM] - Jarrod Rusch was added to Rochester Lakers.
[6/7/2019 10:52:43 PM] - Richard Villalobos signed with Rochester Lakers for $400,000 for 1 year(s).
[6/7/2019 10:52:43 PM] - Richard Villalobos was added to Rochester Lakers.
[6/7/2019 8:52:13 PM] - Gerardo Culley signed with Rochester Lakers for $490,000 for 1 year(s).
[6/7/2019 8:52:13 PM] - Gerardo Culley was added to Rochester Lakers.
[6/5/2019 9:52:56 PM] - Tyler MacKessy signed with Rochester Lakers for $255,000 for 2 year(s).
[6/5/2019 9:52:56 PM] - Tyler MacKessy was added to Rochester Lakers.
[6/5/2019 9:34:27 PM] - Desmond Haymer signed with Rochester Lakers for $550,000 for 2 year(s).
[6/5/2019 9:34:27 PM] - Desmond Haymer was added to Rochester Lakers.
[6/5/2019 12:15:08 AM] - Vernon Asher signed with Rochester Lakers for $335,019 for 1 year(s).
[6/5/2019 12:15:08 AM] - Vernon Asher was added to Rochester Lakers.
[6/5/2019 12:14:46 AM] - Tony Crandall signed with Rochester Lakers for $364,100 for 1 year(s).
[6/5/2019 12:14:46 AM] - Tony Crandall was added to Rochester Lakers.
[6/2/2019 2:59:45 PM] - Loren Timmins was added to Rochester Lakers.
[6/2/2019 2:59:45 PM] - Stefan Karlsson was added to Rochester Lakers.

[9/2/2019 1:26:50 PM] Raymond Hamon from Canadaigua Lakers is back from Exhaustion.
[9/2/2019 1:26:48 PM] John Necaise from Canadaigua Lakers is back from Exhaustion.
[9/2/2019 1:26:48 PM] Canadaigua Lakers lines for next game are empty. Current rosters/lines are not erased.
[9/2/2019 1:26:47 PM] Raymond Hamon from Canadaigua Lakers is injured from Exhaustion.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Canadaigua Lakers.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Rochester Lakers.

Jarrod Daniel is out for 5 days because of a Head Injury.
Mike Rucinski is out for 1 week because of a Bruised Left Leg Injury.
Albert Hope is out for the rest of the season because of a Torn Right ACL Injury.
Samuel Manigault is out for the rest of the season because of a Torn Left ACL Injury - Oct 2019.
Casey Frazier is out for the rest of the season because of a Back Surgery Injury.

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
16	80	32	30	14	1	3	0	0	245	245	0	40	17	14	6	1	2	0	0	118	113	5	40	15	16	8	0	1	0	0	127	132	-5	78	245	425	670	3	1	72	101	71	1	2465	853	846	746	20	2487	852	911	1568	370	74	20.00%	401	60	85.04%	6	1080	2002	53.95%	1105	2083	53.05%	641	1147	55.88%	1706	948	1745	762	1424	712
07-08	80	38	26	8	3	5	0	0	272	220	52	40	20	11	6	1	2	0	0	142	109	33	40	18	15	2	2	3	0	0	130	111	19	84	272	454	726	0	1	93	86	90	3	2830	1058	887	863	22	2612	927	1635	1865	310	55	17.74%	271	37	86.35%	11	1010	2116	47.73%	943	1973	47.80%	709	1371	51.71%	1680	896	1649	773	1526	766
08-09	80	31	35	9	3	2	0	0	288	285	3	40	19	15	3	1	2	0	0	151	138	13	40	12	20	6	2	0	0	0	137	147	-10	71	288	490	778	0	0	105	92	88	3	2780	1019	861	887	13	2793	936	858	1891	270	37	13.70%	263	36	86.31%	13	896	1966	45.57%	963	2043	47.14%	677	1407	48.12%	1696	924	3660	1691	1491	749
09-10	80	34	32	8	2	4	0	0	294	293	1	40	15	19	4	0	2	0	0	146	160	-14	40	19	13	4	2	2	0	0	148	133	15	76	294	504	798	0	0	90	106	96	2	2835	1023	977	822	13	2832	958	1073	1811	292	42	14.38%	279	37	86.74%	12	935	1937	48.27%	936	1994	46.94%	734	1490	49.26%	1689	927	5973	2738	1496	745
10-11	80	41	25	8	6	0	0	0	291	263	28	40	21	9	7	3	0	0	0	161	133	28	40	20	16	1	3	0	0	0	130	130	0	90	291	482	773	2	1	97	98	90	6	2794	1023	908	838	25	2734	890	752	1654	277	44	15.88%	276	55	80.07%	8	1026	2015	50.92%	1054	2066	51.02%	625	1266	49.37%	1728	974	1670	748	1457	726
11-12	80	31	31	11	5	2	0	0	281	277	4	40	14	15	5	4	2	0	0	135	130	5	40	17	16	6	1	0	0	0	146	147	-1	73	281	465	746	1	0	83	113	80	5	2771	912	987	844	28	2672	883	753	1734	303	51	16.83%	337	56	83.38%	4	1107	2060	53.74%	1117	2108	52.99%	673	1266	53.16%	1727	979	1704	759	1433	709
12-13	80	39	26	6	6	3	0	0	279	248	31	40	23	11	2	3	1	0	0	135	104	31	40	16	15	4	3	2	0	0	144	144	0	84	279	478	757	3	0	92	89	92	6	2788	1012	885	873	18	2662	852	869	1691	292	38	13.01%	312	54	82.69%	7	1063	2045	51.98%	1095	2112	51.85%	630	1191	52.90%	1748	994	1680	747	1416	714
13-14	80	37	24	12	6	1	0	0	284	241	43	40	17	14	5	3	1	0	0	149	124	25	40	20	10	7	3	0	0	0	135	117	18	86	284	470	754	0	1	83	95	100	6	2654	973	876	765	40	2636	859	1095	1639	401	63	15.71%	413	63	84.75%	3	1077	2168	49.68%	1128	2181	51.72%	606	1199	50.54%	1723	946	1705	780	1452	716
14-15	80	31	32	10	3	4	0	0	263	276	-13	40	18	15	5	1	1	0	0	130	132	-2	40	13	17	5	2	3	0	0	133	144	-11	72	263	448	711	3	0	95	83	82	3	2848	1105	866	852	25	2805	987	972	1665	395	73	18.48%	363	55	84.85%	8	1175	2232	52.64%	1128	2201	51.25%	611	1203	50.79%	1731	977	1714	751	1410	700
15-16	80	39	24	12	5	0	0	0	291	252	39	40	17	13	7	3	0	0	0	152	133	19	40	22	11	5	2	0	0	0	139	119	20	90	291	490	781	1	2	93	90	103	5	2757	1022	846	855	34	2702	866	709	1598	365	69	18.90%	348	53	84.77%	2	1225	2179	56.22%	1216	2164	56.19%	678	1224	55.39%	1767	998	1679	745	1430	728
16-17	80	41	22	11	3	3	0	0	276	219	57	40	20	12	5	1	2	0	0	136	114	22	40	21	10	6	2	1	0	0	140	105	35	93	276	490	766	2	1	95	86	92	3	2603	947	793	845	18	2373	794	647	1629	349	65	18.62%	269	38	85.87%	5	1144	1999	57.23%	1098	1916	57.31%	677	1202	56.32%	1801	1039	1650	732	1414	721
17-18	80	42	23	11	1	3	0	0	261	228	33	40	18	13	8	0	1	0	0	123	110	13	40	24	10	3	1	2	0	0	138	118	20	95	261	454	715	2	2	84	95	81	1	2488	868	856	748	16	2416	749	777	1642	326	56	17.18%	329	54	83.59%	9	1063	1971	53.93%	1035	1909	54.22%	652	1161	56.16%	1763	1015	1700	741	1402	701
Total Regular Season	960	436	330	120	44	30	0	0	3325	3047	278	480	219	161	63	21	16	0	0	1678	1500	178	480	217	169	57	23	14	0	0	1647	1547	100	992	3325	5650	8975	17	9	1082	1134	1065	44	32613	11815	10588	9938	272	31724	10553	11051	20387	3950	667	16.89%	3861	598	84.51%	88	12801	24690	51.85%	12818	24750	51.79%	7913	15127	52.31%	20764	11624	26535	11973	17356	8692