NorthEastern Hockey League Testing

Baltimore Tigers
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1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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	Trevor Craven			X		100.00	48	5	92	67	72	94	90	79	33	80	91	8	84	99	93	26	48	68	0
2	Andrew Tutton	X				99.50	14	5	99	62	88	95	86	72	41	72	81	45	50	93	84	35	46	68	0
3	Alan Piccola		X			99.50	20	10	99	75	75	75	66	74	40	82	86	41	70	95	75	48	49	68	0
4	Alexander-Denis Roupe			X		100.00	72	82	80	76	70	76	85	65	59	67	78	56	70	89	76	38	52	68	0
5	David Lombardi		X			100.00	64	34	53	72	64	83	72	68	58	81	76	41	70	99	99	55	48	68	0
6	Tommy Fontes	X				100.00	42	22	77	68	63	75	73	68	41	70	69	62	70	96	86	55	48	66	0
7	Richard Villalobos			X		100.00	99	41	57	63	77	49	64	62	82	66	59	68	68	99	99	31	48	65	0
8	Owen Browning	X				100.00	76	27	87	74	80	85	74	47	50	63	83	32	50	99	99	38	48	65	0
9	Will Juncaj	X				100.00	93	48	55	74	77	77	75	46	65	49	87	68	70	82	52	47	48	65	0
10	Dave Zisk		X			100.00	43	26	83	78	64	82	61	64	26	73	71	56	70	74	77	58	48	65	0
11	Taylor Lindell				X	100.00	34	31	75	86	68	73	76	99	37	98	98	1	81	99	99	18	49	68	0
12	Jon Leuck				X	100.00	93	45	16	82	64	75	73	73	25	66	93	38	70	99	83	25	49	68	0
13	Will Tabeling				X	100.00	1	1	99	54	82	54	65	92	35	78	70	88	50	99	76	22	48	67	0
14	Clint Justiniano				X	100.00	92	32	64	68	76	72	73	35	2	39	39	81	42	99	84	9	48	67	0
15	Philip Arcia				X	100.00	59	25	86	80	74	82	80	76	56	65	84	30	50	97	96	36	48	67	0
16	Dustin Trivisonno				X	100.00	45	22	85	70	78	71	88	60	40	50	67	70	70	76	87	33	48	66	0
17	Cory Pruss				X	100.00	26	21	82	72	75	72	87	45	41	44	79	66	70	96	97	59	48	63	0
18	Ty Burton				X	100.00	65	60	81	79	59	79	77	52	14	48	47	62	50	99	56	57	48	63	0
Scratches
1	Mark Abele		X			100.00	59	19	90	66	74	78	64	61	54	57	64	51	70	99	84	45	49	62	0
2	Garrett Ressler	X				100.00	17	11	99	66	64	64	53	72	2	60	77	58	70	99	43	44	49	62	0
3	Justin McWright		X			100.00	26	8	99	74	71	71	61	53	3	58	67	51	70	99	85	51	49	61	0
4	Derrick Ellen	X				100.00	26	11	99	76	70	61	63	61	53	30	92	55	50	84	46	54	49	60	0
5	Koby Gratton			X		100.00	67	54	41	67	69	73	69	39	51	74	69	44	70	99	43	49	49	60	0
6	Dean Penney	X				100.00	35	25	80	69	64	74	72	56	50	38	78	61	70	87	57	48	49	60	0
7	Drew Mangione		X			100.00	84	47	43	66	71	76	69	58	64	30	68	48	70	79	90	78	49	59	0
8	Darin Kennedy	X				100.00	46	25	99	64	67	74	89	59	4	41	56	64	70	83	57	45	49	59	0
9	Glenn Ammon	X				100.00	1	1	99	68	73	62	65	46	91	37	79	46	98	83	96	34	49	58	0
10	Brett Ramsey		X			100.00	23	10	99	79	70	67	80	46	43	48	62	53	70	99	45	53	49	58	0
11	Ryan Fusilier			X		100.00	31	20	99	72	73	76	72	58	14	47	37	64	70	88	47	41	49	57	0
12	David Rotelli			X		100.00	51	46	99	67	74	78	65	38	23	27	49	73	70	72	99	43	49	57	0
13	Joe Palazzi			X		100.00	51	65	59	74	70	76	67	49	15	28	46	69	70	99	62	38	49	56	0
14	Nate Martin				X	100.00	49	40	94	69	64	77	68	43	25	32	31	79	50	99	61	56	49	62	0
15	Christopher Stecker				X	100.00	99	57	50	63	76	78	82	18	13	20	19	60	38	99	99	31	49	61	0
16	Mason McFarlane				X	100.00	57	49	63	73	59	71	79	41	20	39	38	70	70	96	36	53	49	60	0
17	Raphael Sanmiguel				X	100.00	58	40	80	73	58	82	42	57	56	35	44	70	70	69	57	50	49	60	0
18	Geoff Stolberg				X	100.00	35	20	99	65	74	77	87	49	25	37	91	47	70	78	71	72	49	59	0
19	Danny Federico				X	100.00	44	25	86	68	58	75	69	30	29	44	40	76	50	92	42	72	49	59	0

	TEAM AVERAGE					99.97	50	30	80	71	70	75	72	57	37	53	67	55	65	92	74	45	49	63

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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	Joshua Gilling	100.00	79	72	43	83	66	81	80	64	83	76	92	90	85	48	45	74	0
2	Jayson Sandrock	100.00	81	56	70	82	75	69	86	76	65	60	70	87	55	49	48	71	0
Scratches
1	Jeff McNease	100.00	84	68	61	68	68	76	78	63	76	70	67	54	82	60	49	70	0
2	Stuart Conboy	100.00	79	72	64	75	66	75	69	75	74	59	53	70	81	55	49	70	0

	TEAM AVERAGE	100.00	81	67	60	77	69	75	78	70	75	66	71	75	76	53	48	71

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mario Cicchane	79	57	85	72	63	83	57	CAN	41	2	300,000$

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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	P/20	FW	S1	S2	S3
1	Alan Piccola	Columbia Tigers (Bal)	LW	6	5	11	16	6	0	0	10	5	22	9	22	22.73%	2	150	25.01	2	1	3	2	14	0	9	0	1	46.67%	15	7	1	2.13	0	3	1	0
2	Taylor Lindell	Columbia Tigers (Bal)	D	6	3	9	12	4	2	0	2	7	28	9	13	10.71%	4	151	25.20	1	2	3	5	14	0	9	1	0	0.00%	0	5	1	1.59	0	0	0	3
3	Carlo Spitale	Baltimore Tigers	C	5	6	5	11	5	0	0	4	17	19	3	5	31.58%	1	101	20.30	1	2	3	4	8	1	4	0	0	45.45%	132	1	0	2.17	0	0	2	0
4	Alexander-Denis Roupe	Columbia Tigers (Bal)	RW	6	4	1	5	6	9	5	15	5	14	6	1	28.57%	3	142	23.81	0	0	0	1	13	0	8	0	0	37.93%	29	1	3	0.70	1	0	0	1
5	Trevor Craven	Columbia Tigers (Bal)	RW	6	0	4	4	-4	0	0	8	11	12	9	11	0.00%	2	121	20.24	0	1	1	2	9	0	4	0	0	42.86%	7	6	1	0.66	0	0	0	0
6	Andrew Tutton	Columbia Tigers (Bal)	C	1	0	2	2	1	0	0	0	2	3	0	4	0.00%	0	25	25.05	0	1	1	0	4	0	0	0	0	42.86%	35	1	1	1.60	0	0	0	0
7	Philip Arcia	Columbia Tigers (Bal)	D	6	0	2	2	-4	0	0	4	3	4	4	2	0.00%	0	113	18.96	0	1	1	1	10	0	6	0	0	0.00%	0	2	0	0.35	0	0	0	0
8	Jon Leuck	Columbia Tigers (Bal)	D	6	1	1	2	4	12	0	20	9	11	1	1	9.09%	7	145	24.24	1	1	2	5	14	0	5	0	0	0.00%	0	3	6	0.28	0	0	0	0
9	David Lombardi	Columbia Tigers (Bal)	LW	6	2	0	2	-4	0	0	18	6	11	5	8	18.18%	7	116	19.35	0	0	0	0	9	1	2	1	0	50.00%	2	1	3	0.34	0	0	0	0
10	Richard Villalobos	Columbia Tigers (Bal)	RW	6	1	0	1	-2	2	0	9	7	15	3	7	6.67%	0	93	15.63	0	0	0	1	3	0	0	0	0	25.00%	4	0	2	0.21	0	0	0	0
11	Will Tabeling	Columbia Tigers (Bal)	D	6	0	1	1	2	0	0	0	5	2	2	3	0.00%	3	67	11.32	0	0	0	0	1	0	0	0	0	0.00%	0	1	3	0.29	0	0	0	0
12	Clint Justiniano	Columbia Tigers (Bal)	D	6	0	1	1	-4	0	0	7	11	5	1	2	0.00%	5	115	19.25	0	1	1	0	10	0	6	0	0	0.00%	0	0	3	0.17	0	0	0	0
13	Owen Browning	Columbia Tigers (Bal)	C	6	0	1	1	-1	0	0	7	8	4	4	8	0.00%	4	84	14.16	0	0	0	0	0	0	2	0	0	48.65%	37	2	1	0.24	0	0	0	0
14	Dustin Trivisonno	Columbia Tigers (Bal)	D	6	0	1	1	3	2	0	1	4	5	0	2	0.00%	3	70	11.77	0	0	0	0	0	0	5	0	0	0.00%	0	0	3	0.28	0	0	0	0
15	Tommy Fontes	Columbia Tigers (Bal)	C	6	1	0	1	-4	0	0	6	16	4	7	3	25.00%	1	109	18.24	1	0	1	1	9	0	0	0	0	45.31%	64	2	2	0.18	0	0	0	0
16	Dave Zisk	Columbia Tigers (Bal)	LW	6	0	1	1	-2	0	0	5	12	12	4	8	0.00%	2	91	15.26	0	0	0	0	0	0	0	0	0	33.33%	3	6	0	0.22	0	0	0	0
17	Will Juncaj	Columbia Tigers (Bal)	C	6	0	0	0	-2	2	0	4	0	3	1	1	0.00%	0	37	6.29	0	0	0	0	0	0	0	0	0	46.15%	13	0	0	0.00	0	0	0	0
18	Cory Pruss	Columbia Tigers (Bal)	D	6	0	0	0	-2	0	0	0	5	0	0	0	0.00%	6	40	6.73	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0.00	0	0	0	0
19	Ty Burton	Columbia Tigers (Bal)	D	6	0	0	0	-2	0	0	0	4	0	0	0	0.00%	1	41	6.90	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0
Team Total or Average				108	23	40	63	0	29	5	120	137	174	68	101	13.22%	51	1820	16.86	6	10	16	22	128	2	67	2	1	44.57%	341	38	31	0.69	1	3	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	OTL	PCT	GAA	MP	GA	SA	SAR	ST	BG	S1
1	Jayson Sandrock	Columbia Tigers (Bal)	5	2	1	2	0.898	2.90	310	15	147	76	5	1	1
2	Joshua Gilling	Columbia Tigers (Bal)	1	0	1	0	0.839	5.09	59	5	31	17	1	0	0
Team Total or Average			6	2	2	2	0.888	3.25	369	20	178	93	6	1	1

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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
Alan Piccola	Columbia Tigers (Bal)	LW	22	12/21/1994	No	182 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	448,000$	448,000$	448,000$
Alexander-Denis Roupe	Columbia Tigers (Bal)	RW	21	2/14/1996	No	180 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	410,125$
Andrew Tutton	Columbia Tigers (Bal)	C	24	2/19/1993	No	240 Lbs	6 ft9	No	No	No	1	RFA	Pro & Farm	400,000$
Brett Ramsey	Columbia Tigers (Bal)	LW	22	4/11/1995	No	173 Lbs	6 ft5	No	No	No	3	ELC	Pro & Farm	245,000$	245,000$	245,000$
Christopher Stecker	Columbia Tigers (Bal)	D	26	11/21/1990	No	209 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	264,000$	264,000$	264,000$
Clint Justiniano	Columbia Tigers (Bal)	D	27	4/4/1990	No	194 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	457,500$
Cory Pruss	Columbia Tigers (Bal)	D	21	1/13/1996	No	205 Lbs	6 ft2	No	No	No	1	ELC	Pro & Farm	290,097$
Danny Federico	Columbia Tigers (Bal)	D	25	6/3/1992	No	193 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	221,418$	221,418$
Darin Kennedy	Columbia Tigers (Bal)	C	20	9/21/1996	No	209 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	227,331$	227,331$
Dave Zisk	Columbia Tigers (Bal)	LW	20	2/20/1997	No	177 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	252,456$	252,456$
David Lombardi	Columbia Tigers (Bal)	LW	20	9/13/1996	No	181 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	374,279$	374,279$
David Rotelli	Columbia Tigers (Bal)	RW	21	11/12/1995	No	213 Lbs	6 ft8	No	No	No	1	ELC	Pro & Farm	206,279$
Dean Penney	Columbia Tigers (Bal)	C	20	6/10/1997	No	193 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	239,296$	239,296$
Derrick Ellen	Columbia Tigers (Bal)	C	24	1/21/1993	No	169 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	263,000$	263,000$	263,000$
Drew Mangione	Columbia Tigers (Bal)	LW	21	6/13/1996	No	207 Lbs	6 ft5	No	No	No	1	ELC	Pro & Farm	221,584$
Dustin Trivisonno	Columbia Tigers (Bal)	D	24	6/12/1993	No	198 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	403,000$	403,000$	403,000$
Garrett Ressler	Columbia Tigers (Bal)	C	22	3/19/1995	No	212 Lbs	6 ft7	No	No	No	3	ELC	Pro & Farm	258,000$	258,000$	258,000$
Geoff Stolberg	Columbia Tigers (Bal)	D	21	5/31/1996	No	222 Lbs	6 ft5	No	No	No	1	ELC	Pro & Farm	211,568$
Glenn Ammon	Columbia Tigers (Bal)	C	27	2/14/1990	No	191 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	249,000$	249,000$	249,000$
Jayson Sandrock	Columbia Tigers (Bal)	RW	25	1/14/1992	No	206 Lbs	6 ft8	No	No	No	3	RFA	Pro & Farm	266,000$	266,000$	266,000$
Jeff McNease	Columbia Tigers (Bal)	C	23	10/6/1993	No	163 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	227,438$
Joe Palazzi	Columbia Tigers (Bal)	RW	21	3/2/1996	No	185 Lbs	6 ft5	No	No	No	1	ELC	Pro & Farm	256,545$
Jon Leuck	Columbia Tigers (Bal)	D	22	5/1/1995	No	152 Lbs	5 ft9	No	No	No	3	ELC	Pro & Farm	439,000$	439,000$	439,000$
Joshua Gilling	Columbia Tigers (Bal)	RW	22	2/16/1995	No	208 Lbs	6 ft8	No	No	No	3	ELC	Pro & Farm	364,000$	364,000$	364,000$
Justin McWright	Columbia Tigers (Bal)	LW	23	4/23/1994	No	175 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	271,000$	271,000$	271,000$
Koby Gratton	Columbia Tigers (Bal)	RW	20	10/27/1996	No	206 Lbs	6 ft5	No	No	No	2	ELC	Pro & Farm	296,310$	296,310$
Mark Abele	Columbia Tigers (Bal)	LW	24	5/25/1993	No	196 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	287,000$	287,000$	287,000$
Mason McFarlane	Columbia Tigers (Bal)	D	19	1/20/1998	No	182 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	239,025$	239,025$	239,025$
Nate Martin	Columbia Tigers (Bal)	D	19	1/16/1998	No	200 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	249,409$	249,409$	249,409$
Owen Browning	Columbia Tigers (Bal)	C	24	12/10/1992	No	196 Lbs	6 ft8	No	No	No	3	RFA	Pro & Farm	370,000$	370,000$	370,000$
Philip Arcia	Columbia Tigers (Bal)	D	24	10/30/1992	No	175 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	345,000$	345,000$
Raphael Sanmiguel	Columbia Tigers (Bal)	D	20	5/7/1997	No	181 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	233,049$	233,049$	233,049$
Richard Villalobos	Columbia Tigers (Bal)	RW	33	6/1/1984	No	207 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	404,000$	404,000$	404,000$
Ryan Fusilier	Columbia Tigers (Bal)	RW	22	11/27/1994	No	184 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	235,000$	235,000$	235,000$
Stuart Conboy	Columbia Tigers (Bal)	C	22	2/28/1995	No	180 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	215,882$
Taylor Lindell	Columbia Tigers (Bal)	D	25	3/12/1992	No	153 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	454,000$	454,000$	454,000$
Tommy Fontes	Columbia Tigers (Bal)	C	20	2/19/1997	No	198 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	320,281$	320,281$
Trevor Craven	Columbia Tigers (Bal)	RW	26	12/27/1990	No	188 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	455,000$	455,000$	455,000$
Ty Burton	Columbia Tigers (Bal)	D	19	4/24/1998	No	189 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	262,535$	262,535$	262,535$
Will Juncaj	Columbia Tigers (Bal)	C	22	11/18/1994	No	187 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	355,000$	355,000$	355,000$
Will Tabeling	Columbia Tigers (Bal)	D	27	8/25/1989	No	243 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	422,000$	422,000$	422,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
41	22.68	193 Lbs	6 ft3	2.32	307,547$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alan Piccola	Andrew Tutton	Alexander-Denis Roupe	40	1	2	2
2	David Lombardi	Tommy Fontes	Trevor Craven	30	1	2	2
3	Dave Zisk	Will Juncaj	Richard Villalobos	20	1	2	2
4	Alan Piccola	Owen Browning	Andrew Tutton	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Taylor Lindell	Jon Leuck	40	1	2	2
2	Philip Arcia	Clint Justiniano	30	1	2	2
3	Will Tabeling	Dustin Trivisonno	20	1	2	2
4	Ty Burton	Cory Pruss	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alan Piccola	Andrew Tutton	Alexander-Denis Roupe	60	1	2	2
2	David Lombardi	Tommy Fontes	Trevor Craven	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Taylor Lindell	Jon Leuck	60	1	2	2
2	Philip Arcia	Clint Justiniano	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Alan Piccola	Andrew Tutton	60	1	2	2
2	Alexander-Denis Roupe	Trevor Craven	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Taylor Lindell	Jon Leuck	60	1	2	2
2	Philip Arcia	Clint Justiniano	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Alan Piccola	60	1	2	2	Taylor Lindell	Jon Leuck	60	1	2	2
2	Andrew Tutton	40	1	2	2	Philip Arcia	Clint Justiniano	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Alan Piccola	Andrew Tutton	60	1	2	2
2	Alexander-Denis Roupe	Trevor Craven	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Taylor Lindell	Jon Leuck	60	1	2	2
2	Philip Arcia	Clint Justiniano	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alan Piccola	Andrew Tutton	Alexander-Denis Roupe	Taylor Lindell	Jon Leuck

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alan Piccola	Andrew Tutton	Alexander-Denis Roupe	Taylor Lindell	Jon Leuck

Extra Forwards
Normal	PowerPlay	Penalty Kill
Richard Villalobos, Dave Zisk, Will Juncaj	Richard Villalobos, Dave Zisk	Will Juncaj

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Will Tabeling, Dustin Trivisonno, Ty Burton	Will Tabeling	Dustin Trivisonno, Ty Burton

Penalty Shots
Alan Piccola, Andrew Tutton, Alexander-Denis Roupe, Trevor Craven, David Lombardi

Goalie
#1 : Joshua Gilling, #2 : Jayson Sandrock

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.
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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	Arlington Americans	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	8	8	7	0	39	54	56	61	3	34	4	10	17	3	0	0.00%	5	1	80.00%	0	61	132	46.21%	47	118	39.83%	44	91	48.35%	127	65	119	58	122	63
2	Lowell Plainsmen	1	0	0	1	0	0	0	0	3	3	0	1	0	0	1	0	0	0	0	3	3	0	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	5	8	0	0	8	8	7	0	27	54	56	61	3	22	15	4	18	4	2	50.00%	2	1	50.00%	0	61	132	46.21%	47	118	39.83%	44	91	48.35%	127	65	119	58	122	63
3	Niagara Falls Wings	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	8	8	7	0	25	54	56	61	3	29	6	2	22	1	0	0.00%	1	0	100.00%	0	61	132	46.21%	47	118	39.83%	44	91	48.35%	127	65	119	58	122	63
	Since Last GM Reset	6	4	2	0	0	0	0	0	23	20	3	4	1	2	1	0	0	0	0	17	16	1	2	3	0	-1	0	0	0	0	6	4	2	8	0.667	23	40	63	0	0	8	8	7	0	174	54	56	61	3	178	51	29	120	18	6	33.33%	12	3	75.00%	0	61	132	46.21%	47	118	39.83%	44	91	48.35%	127	65	119	58	122	63
	Total	6	2	2	2	0	0	0	0	23	20	3	4	1	2	1	0	0	0	0	17	16	1	2	1	0	1	0	0	0	0	6	4	2	6	0.500	23	40	63	0	0	8	8	7	0	174	54	56	61	3	178	51	29	120	18	6	33.33%	12	3	75.00%	0	61	132	46.21%	47	118	39.83%	44	91	48.35%	127	65	119	58	122	63
6	Virginia Beach Mariners	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	8	8	7	0	29	54	56	61	3	31	9	7	18	5	1	20.00%	1	1	0.00%	0	61	132	46.21%	47	118	39.83%	44	91	48.35%	127	65	119	58	122	63
	Vs Conference	5	3	2	0	0	0	0	0	20	17	3	3	1	2	0	0	0	0	0	14	13	1	2	2	0	0	0	0	0	0	6	4	2	6	0.600	20	35	55	0	0	8	8	7	0	147	54	56	61	3	156	36	25	102	14	4	28.57%	10	2	80.00%	0	61	132	46.21%	47	118	39.83%	44	91	48.35%	127	65	119	58	122	63
	Vs Division	4	2	2	0	0	0	0	0	17	16	1	3	1	2	0	0	0	0	0	14	13	1	1	1	0	0	0	0	0	0	3	3	0	4	0.500	17	29	46	0	0	8	8	7	0	122	54	56	61	3	127	30	23	80	13	4	30.77%	9	2	77.78%	0	61	132	46.21%	47	118	39.83%	44	91	48.35%	127	65	119	58	122	63
9	Williamsburg Dragons	2	1	0	1	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	7	2	5	1	0	0	1	0	0	0	0	3	3	0	3	0.750	10	15	25	0	0	8	8	7	0	54	54	56	61	3	62	17	6	45	5	3	60.00%	3	0	100.00%	0	61	132	46.21%	47	118	39.83%	44	91	48.35%	127	65	119	58	122	63

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
6	6	L1	23	40	63	174	178	51	29	120	0	0

All Games
GP	W	L	OTW	OTL	T	GF	GA
6	2	2	0	0	2	23	20

Home Games
GP	W	L	OTW	OTL	T	GF	GA
4	1	2	0	0	1	17	16

Visitor Games
GP	W	L	OTW	OTL	T	GF	GA
2	1	0	0	0	1	6	4

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
18	6	33.33%	12	3	75.00%	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
54	56	61	3	8	8	7	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
61	132	46.21%	47	118	39.83%	44	91	48.35%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
127	65	119	58	122	63

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
4 - 2017-12-12	15	Arlington Americans	6	Columbia Tigers	3	L		BoxScore
6 - 2017-12-14	30	Lowell Plainsmen	3	Columbia Tigers	3	T	X	BoxScore
8 - 2017-12-16	43	Columbia Tigers	3	Niagara Falls Wings	1	W		BoxScore
10 - 2017-12-18	56	Williamsburg Dragons	2	Columbia Tigers	7	W		BoxScore
14 - 2017-12-22	72	Columbia Tigers	3	Williamsburg Dragons	3	T	X	BoxScore
16 - 2017-12-24	83	Virginia Beach Mariners	5	Columbia Tigers	4	L		BoxScore
21 - 2017-12-29	109	Harrisburg Rockets	-	Columbia Tigers	-
23 - 2017-12-31	122	Columbia Tigers	-	Reading Patriots	-
25 - 2018-01-02	136	Reading Patriots	-	Columbia Tigers	-
26 - 2018-01-03	141	Columbia Tigers	-	Charlottesville Robins	-
31 - 2018-01-08	163	Reading Patriots	-	Columbia Tigers	-
33 - 2018-01-10	176	Columbia Tigers	-	Dayton Clippers	-
35 - 2018-01-12	187	Columbia Tigers	-	Arlington Americans	-
37 - 2018-01-14	195	Lafayette Racers	-	Columbia Tigers	-
39 - 2018-01-16	210	Columbia Tigers	-	Reading Patriots	-
40 - 2018-01-17	221	Augusta Wolves	-	Columbia Tigers	-
43 - 2018-01-20	234	Columbia Tigers	-	Williamsburg Dragons	-
46 - 2018-01-23	249	Canadaigua Lakers	-	Columbia Tigers	-
48 - 2018-01-25	263	Columbia Tigers	-	Scarborough Royals	-
50 - 2018-01-27	277	Virginia Beach Mariners	-	Columbia Tigers	-
52 - 2018-01-29	290	Columbia Tigers	-	Canadaigua Lakers	-
54 - 2018-01-31	300	Columbia Tigers	-	Troy Indians	-
57 - 2018-02-03	311	Elmira Roadrunners	-	Columbia Tigers	-
59 - 2018-02-05	323	Columbia Tigers	-	Arlington Americans	-
61 - 2018-02-07	336	Bowling Green Red Devils	-	Columbia Tigers	-
63 - 2018-02-09	347	Columbia Tigers	-	Watertown Bulls	-
65 - 2018-02-11	361	Columbia Tigers	-	Lafayette Racers	-
67 - 2018-02-13	368	Lafayette Racers	-	Columbia Tigers	-
69 - 2018-02-15	382	Columbia Tigers	-	Johnstown Yellow Jackets	-
72 - 2018-02-18	396	Johnstown Yellow Jackets	-	Columbia Tigers	-
76 - 2018-02-22	416	Pawtucket Reds	-	Columbia Tigers	-
78 - 2018-02-24	424	Columbia Tigers	-	Niagara Falls Wings	-
81 - 2018-02-27	439	Longueuil Voyageurs	-	Columbia Tigers	-
85 - 2018-03-03	464	Arlington Americans	-	Columbia Tigers	-
87 - 2018-03-05	476	Columbia Tigers	-	Beverly Jr. Eagles	-
89 - 2018-03-07	489	Columbia Tigers	-	Amherst Winterhawks	-
92 - 2018-03-10	500	Charlottesville Robins	-	Columbia Tigers	-
94 - 2018-03-12	514	Columbia Tigers	-	Montpelier Cougars	-
96 - 2018-03-14	527	Cape Breton Kings	-	Columbia Tigers	-
99 - 2018-03-17	537	Columbia Tigers	-	Charlottesville Robins	-
101 - 2018-03-19	552	Charlottesville Robins	-	Columbia Tigers	-
103 - 2018-03-21	559	Columbia Tigers	-	Bowling Green Red Devils	-
106 - 2018-03-24	577	Niagara Falls Wings	-	Columbia Tigers	-
107 - 2018-03-25	585	Columbia Tigers	-	Charlesbourg Cavaliers	-
110 - 2018-03-28	601	Williamsburg Dragons	-	Columbia Tigers	-
Trade Deadline --- Trades can’t be done after this day is simulated!
117 - 2018-04-04	629	Dayton Clippers	-	Columbia Tigers	-
121 - 2018-04-08	650	Scarborough Royals	-	Columbia Tigers	-
123 - 2018-04-10	666	Columbia Tigers	-	Harrisburg Rockets	-
125 - 2018-04-12	675	Columbia Tigers	-	Napean Spartans	-
126 - 2018-04-13	681	Lowell Plainsmen	-	Columbia Tigers	-
127 - 2018-04-14	685	Columbia Tigers	-	Virginia Beach Mariners	-
131 - 2018-04-18	707	Harrisburg Rockets	-	Columbia Tigers	-
132 - 2018-04-19	712	Columbia Tigers	-	Virginia Beach Mariners	-
134 - 2018-04-21	718	Columbia Tigers	-	Harrisburg Rockets	-

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
23	0 - 0.00%	0$	0$	3000	110

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,152,352$	3,152,352$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date
383,246$	23,010$	383,246$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	120	23,010$	2,761,200$

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	26	41	5	4	4	0	0	245	275	-30	40	13	21	3	1	2	0	0	121	139	-18	40	13	20	2	3	2	0	0	124	136	-12	57	245	392	637	3	2	70	94	77	4	2308	702	833	751	22	2328	820	1207	1670	227	43	18.94%	231	53	77.06%	11	857	1677	51.10%	849	1714	49.53%	668	1279	52.23%	1502	678	1568	835	1770	882
08-09	80	39	27	7	3	4	0	0	271	250	21	40	17	15	5	1	2	0	0	132	131	1	40	22	12	2	2	2	0	0	139	119	20	85	271	445	716	0	4	75	99	94	3	2450	736	856	838	20	2427	825	471	1704	209	49	23.44%	170	35	79.41%	4	850	1693	50.21%	807	1666	48.44%	591	1252	47.20%	1527	709	3301	1765	1769	881
09-10	80	34	31	7	0	8	0	0	294	290	4	40	18	18	1	0	3	0	0	149	154	-5	40	16	13	6	0	5	0	0	145	136	9	75	294	480	774	0	3	66	117	111	0	2682	859	940	854	29	2669	851	644	1652	188	34	18.09%	197	49	75.13%	17	772	1745	44.24%	847	1907	44.42%	615	1378	44.63%	1522	731	5191	2736	1721	836
10-11	80	34	30	7	5	4	0	0	287	273	14	40	21	10	5	2	2	0	0	146	120	26	40	13	20	2	3	2	0	0	141	153	-12	75	287	458	745	2	1	70	106	106	5	2647	852	929	838	28	2455	785	475	1841	212	53	25.00%	186	34	81.72%	3	973	1883	51.67%	826	1638	50.43%	604	1189	50.80%	1637	815	1508	795	1706	850
11-12	80	30	33	4	6	7	0	0	287	309	-22	40	15	16	1	5	3	0	0	146	155	-9	40	15	17	3	1	4	0	0	141	154	-13	64	287	469	756	2	1	98	92	91	6	2677	938	911	802	26	2669	932	319	1635	193	39	20.21%	147	33	77.55%	3	886	1908	46.44%	813	1840	44.18%	562	1248	45.03%	1611	803	1563	769	1666	852
12-13	80	45	19	7	4	5	0	0	355	271	84	40	19	9	6	3	3	0	0	185	142	43	40	26	10	1	1	2	0	0	170	129	41	97	355	572	927	2	1	123	120	108	4	2907	1063	978	840	26	2720	908	379	1649	199	59	29.65%	161	33	79.50%	5	998	1986	50.25%	989	1861	53.14%	649	1301	49.88%	1660	887	1606	771	1583	792
13-14	80	26	47	4	3	0	0	0	292	324	-32	40	11	25	1	3	0	0	0	148	174	-26	40	15	22	3	0	0	0	0	144	150	-6	56	292	480	772	5	2	100	95	94	3	2756	1111	846	785	14	2765	881	476	1448	197	35	17.77%	218	53	75.69%	9	952	1911	49.82%	1005	1990	50.50%	653	1240	52.66%	1621	854	1610	775	1594	799
14-15	80	24	37	7	5	7	0	0	308	360	-52	40	11	22	2	3	2	0	0	152	191	-39	40	13	15	5	2	5	0	0	156	169	-13	55	308	507	815	1	0	98	109	96	5	2998	1059	973	945	21	3017	949	727	1594	222	46	20.72%	244	54	77.87%	2	1094	2040	53.63%	1070	2038	52.50%	723	1376	52.54%	1676	909	1638	758	1535	774
15-16	80	32	37	8	0	3	0	0	299	328	-29	40	15	23	2	0	0	0	0	141	162	-21	40	17	14	6	0	3	0	0	158	166	-8	72	299	492	791	2	0	99	113	87	0	2924	1076	998	832	18	2968	1008	467	1611	202	41	20.30%	217	44	79.72%	4	897	1991	45.05%	1024	2106	48.62%	610	1299	46.96%	1646	879	1641	762	1557	780
16-17	80	33	34	6	2	5	0	0	281	288	-7	40	15	18	3	1	3	0	0	140	151	-11	40	18	16	3	1	2	0	0	141	137	4	72	281	480	761	2	0	80	99	100	2	2626	893	822	891	20	2679	903	626	1572	242	39	16.12%	243	53	78.19%	8	958	1908	50.21%	939	1847	50.84%	609	1250	48.72%	1655	907	1663	764	1525	742
1001	6	2	2	2	0	0	0	0	23	20	3	4	1	2	1	0	0	0	0	17	16	1	2	1	0	1	0	0	0	0	6	4	2	6	23	40	63	0	0	8	8	7	0	174	54	56	61	3	178	51	29	120	18	6	33.33%	12	3	75.00%	0	61	132	46.21%	47	118	39.83%	44	91	48.35%	127	65	119	58	122	63
Total Regular Season	806	325	338	64	32	47	0	0	2942	2988	-46	404	156	179	30	19	20	0	0	1477	1535	-58	402	169	159	34	13	27	0	0	1465	1453	12	714	2942	4815	7757	19	14	887	1052	971	32	27149	9343	9142	8437	227	26875	8913	5820	16496	2109	444	21.05%	2026	444	78.08%	66	9298	18874	49.26%	9216	18725	49.22%	6328	12903	49.04%	16190	8242	21413	10792	16553	8255