NorthEastern Hockey League - Burlington Cougars

Montpelier Cougars
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	Tim Olson	12	X				100.00	46	1	99	65	74	99	76	99	90	99	99	87	83	99	99	1	79	83	0
2	Paul Berlo	18		X			100.00	1	1	99	59	80	85	73	99	84	99	97	64	50	99	99	1	74	78	0
3	Nolan Vecchione	7			X		100.00	39	1	99	83	68	75	47	99	1	98	99	49	50	99	99	31	79	77	0
4	Trent McCollough	0		X			100.00	22	3	99	72	76	86	83	84	49	78	96	54	70	99	82	18	79	73	0
5	Colin Welson	48		X			100.00	1	1	99	54	83	23	45	91	99	91	91	68	80	99	99	1	76	71	0
6	Morgan Wolfenbarger	32			X		100.00	1	1	99	57	83	69	78	78	93	88	85	62	50	99	87	1	80	71	0
7	Darrell Friskney	0	X				100.00	97	22	67	77	72	61	60	70	88	73	92	58	97	99	82	4	65	71	0
8	Dalton Eisley (R)	0	X				100.00	40	26	99	71	65	83	61	73	84	83	87	59	50	82	63	52	82	70	0
9	Kurt Jenkins	0		X			100.00	5	1	99	66	76	76	62	82	90	84	85	55	70	85	94	43	75	70	0
10	Rian Westaby	0			X		100.00	1	1	99	68	79	54	59	77	93	63	86	83	99	99	79	10	80	69	0
11	Eli Polnau	0	X				100.00	17	5	99	72	75	81	81	77	80	80	87	32	70	95	91	45	61	69	0
12	Sean Bookard	23			X		100.00	90	28	69	76	56	83	65	84	18	84	66	58	50	85	52	57	81	69	0
13	Devin Marquardt	55				X	100.00	1	1	99	67	72	99	99	99	54	98	98	86	89	99	98	30	80	79	0
14	Matt Peltz	6				X	100.00	99	34	30	59	86	68	45	90	38	74	80	99	52	99	89	28	55	77	0
15	Walter Tracy	3				X	100.00	38	2	99	61	83	90	58	72	23	58	68	94	70	99	93	35	56	72	0
16	Peter Karathanasis	0				X	100.00	95	51	34	62	84	80	80	42	36	72	59	86	70	79	94	38	80	72	0
17	Sebastien Paquette	38				X	100.00	81	24	58	65	80	79	77	65	41	53	73	78	50	99	71	44	74	70	0
18	Don Reddig	0				X	100.00	1	1	99	72	75	85	74	69	24	59	59	86	40	99	99	25	79	69	0
Scratches
1	Lynn Munsch	28		X			100.00	66	5	97	61	76	32	46	86	79	74	83	77	84	99	99	28	20	70	0
2	Tyson Spink	72	X				100.00	60	19	88	71	71	75	65	65	57	76	88	56	80	98	79	50	20	69	0
3	Eric Hilger	0	X				100.00	60	1	99	74	74	82	83	69	4	72	88	49	70	99	67	36	73	69	0
4	Andrew Tutton	0	X				100.00	5	1	99	59	86	98	86	76	40	75	85	43	50	99	91	27	20	68	0
5	Justin Anderson	0				X	100.00	1	1	99	70	75	66	62	66	38	63	57	96	53	99	90	24	20	68	0
6	Steve Stensland	0				X	100.00	36	1	99	69	82	79	82	76	42	69	80	55	70	84	93	44	59	68	0
7	Dan Smith	0				X	100.00	1	1	99	70	74	60	61	74	40	61	63	88	55	99	99	23	71	67	0

	TEAM AVERAGE					100.00	36	9	89	67	76	75	68	78	55	77	82	69	66	96	88	28	65	72

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	Dana Reilly	100.00	74	70	82	77	76	92	98	99	99	64	61	72	90	41	79	83	0
2	Ryan Bright	100.00	61	25	69	73	68	82	98	99	93	68	75	99	99	47	56	78	0
Scratches

	TEAM AVERAGE	100.00	68	48	76	75	72	87	98	99	96	66	68	86	95	44	68	81

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Craig	82	80	89	84	79	89	56	CAN	45	3	800,000$

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
Andrew Tutton	Burlington Cougars	C	25	2/19/1993	No	245 Lbs	6 ft9	No	No	No	2	RFA	Pro & Farm	480,000$	480,000$	480,000$	No
Colin Welson	Burlington Cougars	LW	30	4/16/1988	No	247 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	540,000$	540,000$	540,000$	No
Dalton Eisley	Burlington Cougars	C	19	8/25/1999	Yes	194 Lbs	6 ft4	No	No	No	4	ELC	Pro & Farm	567,308$	567,308$	567,308$	No
Dan Smith	Burlington Cougars	D	29	11/26/1989	No	194 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	417,500$	417,500$	417,500$	No
Dana Reilly	Burlington Cougars	G	21	3/2/1997	No	191 Lbs	6 ft4	No	No	No	1	ELC	Pro & Farm	515,385$	515,385$	515,385$	No
Darrell Friskney	Burlington Cougars	C	29	8/13/1989	No	176 Lbs	6 ft4	No	No	No	3	UFA	Pro & Farm	755,000$	755,000$	755,000$	No
Devin Marquardt	Burlington Cougars	D	30	12/12/1988	No	189 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No
Don Reddig	Burlington Cougars	D	28	7/23/1990	No	189 Lbs	6 ft4	No	No	No	3	UFA	Pro & Farm	800,000$	800,000$	800,000$	No
Eli Polnau	Burlington Cougars	C	22	3/16/1996	No	187 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	425,000$	425,000$	425,000$	No
Eric Hilger	Burlington Cougars	C	25	1/28/1994	No	181 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	545,000$	545,000$	545,000$	No
Justin Anderson	Burlington Cougars	D	28	6/14/1990	No	191 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	467,500$	467,500$	467,500$	No
Kurt Jenkins	Burlington Cougars	LW	24	4/5/1994	No	200 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	360,000$	360,000$	360,000$	No
Lynn Munsch	Burlington Cougars	LW	35	6/23/1983	No	212 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	750,000$	750,000$	750,000$	No
Matt Peltz	Burlington Cougars	D	27	1/29/1992	No	241 Lbs	6 ft7	No	No	No	1	RFA	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No
Morgan Wolfenbarger	Burlington Cougars	RW	29	4/9/1989	No	241 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	770,000$	770,000$	770,000$	No
Nolan Vecchione	Burlington Cougars	RW	26	7/1/1992	No	158 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	642,500$	642,500$	642,500$	No
Paul Berlo	Burlington Cougars	LW	30	1/28/1989	No	221 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	1,375,000$	1,375,000$	1,375,000$	No
Peter Karathanasis	Burlington Cougars	D	22	3/10/1996	No	231 Lbs	6 ft5	No	No	No	4	ELC	Pro & Farm	600,000$	600,000$	600,000$	No
Rian Westaby	Burlington Cougars	RW	28	4/12/1990	No	205 Lbs	6 ft5	No	No	No	2	UFA	Pro & Farm	550,000$	550,000$	550,000$	No
Ryan Bright	Burlington Cougars	G	36	1/6/1983	No	194 Lbs	5 ft7	No	No	No	1	UFA	Pro & Farm	285,000$	285,000$	285,000$	No
Sean Bookard	Burlington Cougars	RW	19	4/27/1999	No	172 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	564,423$	564,423$	564,423$	No
Sebastien Paquette	Burlington Cougars	D	26	9/20/1992	No	212 Lbs	6 ft6	No	No	No	3	RFA	Pro & Farm	425,000$	425,000$	425,000$	No
Steve Stensland	Burlington Cougars	D	25	10/20/1993	No	211 Lbs	6 ft8	No	No	No	1	RFA	Pro & Farm	440,000$	440,000$	440,000$	No
Tim Olson	Burlington Cougars	C	40	7/29/1978	No	196 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	2,700,000$	2,700,000$	2,700,000$	No
Trent McCollough	Burlington Cougars	LW	22	2/18/1996	No	196 Lbs	6 ft6	No	No	No	3	ELC	Pro & Farm	565,000$	565,000$	565,000$	No
Tyson Spink	Burlington Cougars	C	26	12/31/1992	No	191 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	536,538$	536,538$	536,538$	No
Walter Tracy	Burlington Cougars	D	25	12/13/1993	No	228 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	650,000$	650,000$	650,000$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	26.89	203 Lbs	6 ft3	2.00	730,598$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
19,726,154$	10,581,731$	4,701,731$	1,592,308$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Paul Berlo	Tim Olson	Nolan Vecchione	40	1	2	2
2	Trent McCollough	Darrell Friskney	Morgan Wolfenbarger	30	1	2	2
3	Colin Welson	Dalton Eisley	Sean Bookard	20	1	2	2
4	Kurt Jenkins	Eli Polnau	Rian Westaby	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Devin Marquardt	Matt Peltz	40	1	2	2
2	Peter Karathanasis	Walter Tracy	30	1	2	2
3	Sebastien Paquette	Don Reddig	20	1	2	2
4	Devin Marquardt	Matt Peltz	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Paul Berlo	Tim Olson	Nolan Vecchione	60	1	2	2
2	Trent McCollough	Darrell Friskney	Morgan Wolfenbarger	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Devin Marquardt	Matt Peltz	60	1	2	2
2	Peter Karathanasis	Walter Tracy	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tim Olson	Paul Berlo	60	1	2	2
2	Nolan Vecchione	Trent McCollough	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Devin Marquardt	Matt Peltz	60	1	2	2
2	Peter Karathanasis	Walter Tracy	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Tim Olson	60	1	2	2	Devin Marquardt	Matt Peltz	60	1	2	2
2	Paul Berlo	40	1	2	2	Peter Karathanasis	Walter Tracy	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tim Olson	Paul Berlo	60	1	2	2
2	Nolan Vecchione	Trent McCollough	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Devin Marquardt	Matt Peltz	60	1	2	2
2	Peter Karathanasis	Walter Tracy	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Paul Berlo	Tim Olson	Nolan Vecchione	Devin Marquardt	Matt Peltz

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Paul Berlo	Tim Olson	Nolan Vecchione	Devin Marquardt	Matt Peltz

Extra Forwards
Normal	PowerPlay	Penalty Kill
Colin Welson, Dalton Eisley, Kurt Jenkins	Colin Welson, Dalton Eisley	Kurt Jenkins

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Sebastien Paquette, Don Reddig, Peter Karathanasis	Sebastien Paquette	Don Reddig, Peter Karathanasis

Penalty Shots
Tim Olson, Paul Berlo, Nolan Vecchione, Trent McCollough, Colin Welson

Goalie
#1 : Dana Reilly, #2 : Ryan Bright

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
1 - 2019-09-02	1	Boston Eagles	-	Burlington Cougars	-
3 - 2019-09-04	9	Boston Eagles	-	Burlington Cougars	-
5 - 2019-09-06	17	Burlington Cougars	-	Boston Eagles	-
7 - 2019-09-08	25	Burlington Cougars	-	Boston Eagles	-
9 - 2019-09-10	33	Boston Eagles	-	Burlington Cougars	-
11 - 2019-09-12	41	Burlington Cougars	-	Boston Eagles	-
13 - 2019-09-14	49	Boston Eagles	-	Burlington Cougars	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	2000	800	700	500	1000
Ticket Price	122	90	58	43	252
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$	5000	300

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	19,726,154$	19,726,154$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	27	0

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$	68,301,030$	68,301,030$

Depth Chart

Left Wing

Center

Right Wing

Paul Berlo	AGE:30	PO:1	OV:78
Trent McCollough	AGE:22	PO:18	OV:73
Byron Saler	AGE:24	PO:54	OV:72
Colin Welson	AGE:30	PO:1	OV:71
Kurt Jenkins	AGE:24	PO:43	OV:70
Lynn Munsch	AGE:35	PO:28	OV:70
Kyle Ancona	AGE:35	PO:20	OV:70
Craig Nelligan	AGE:37	PO:12	OV:70
Jarrett Herzog	AGE:21	PO:52	OV:67
Colin Soucy	AGE:20	PO:43	OV:62
*Axel Stigsson	AGE:20	PO:70	OV:57
Ryan Kim	AGE:22	PO:55	OV:56
*Henry Smith	AGE:21	PO:52	OV:55

Tim Olson	AGE:40	PO:1	OV:83
Darrell Friskney	AGE:29	PO:4	OV:71
*Dalton Eisley	AGE:19	PO:52	OV:70
Tyson Spink	AGE:26	PO:50	OV:69
Eli Polnau	AGE:22	PO:45	OV:69
Eric Hilger	AGE:25	PO:36	OV:69
Brad Sims	AGE:36	PO:16	OV:69
Andrew Tutton	AGE:25	PO:27	OV:68
Julius Bourassa	AGE:35	PO:23	OV:68
Dario Cicale	AGE:29	PO:12	OV:66
Brody Gulick	AGE:22	PO:57	OV:61

Nolan Vecchione	AGE:26	PO:31	OV:77
Morgan Wolfenbarger	AGE:29	PO:1	OV:71
Sean Bookard	AGE:19	PO:57	OV:69
Rian Westaby	AGE:28	PO:10	OV:69
Mike Eckrich	AGE:24	PO:36	OV:68
Henry Rosen	AGE:34	PO:26	OV:68
Tim Valtierra	AGE:28	PO:7	OV:61
*Austin Lachowski	AGE:20	PO:68	OV:59
*Garrett Lever	AGE:19	PO:51	OV:59
Riley Kubiak	AGE:23	PO:46	OV:59
Sebastian Albertsen	AGE:25	PO:52	OV:58
*Derian Plouffe	AGE:24	PO:51	OV:57
Corey Hutchenson	AGE:21	PO:57	OV:56

Defense #1

Defense #2

Goalie

Devin Marquardt	AGE:30	PO:30	OV:79
Matt Peltz	AGE:27	PO:28	OV:77
Peter Karathanasis	AGE:22	PO:38	OV:72
Walter Tracy	AGE:25	PO:35	OV:72
Sebastien Paquette	AGE:26	PO:44	OV:70
Don Reddig	AGE:28	PO:25	OV:69
Ricky Stenerson	AGE:21	PO:66	OV:68
Steve Stensland	AGE:25	PO:44	OV:68
Justin Anderson	AGE:28	PO:24	OV:68

Dan Smith	AGE:29	PO:23	OV:67
Ron Grennan	AGE:29	PO:4	OV:67
Clint Traeger	AGE:23	PO:37	OV:65
Morgan Duffy	AGE:21	PO:30	OV:65
Stephen Kennefick	AGE:24	PO:21	OV:65
Clint Creamer	AGE:20	PO:62	OV:61
Brock Maschmeyer	AGE:26	PO:74	OV:60
Trent Westenberger	AGE:20	PO:50	OV:60

Dana Reilly	AGE:21	PO:41	OV:83
Ryan Bright	AGE:36	PO:47	OV:78
Darren Bradbury	AGE:29	PO:16	OV:76
Blaine Phillips	AGE:28	PO:51	OV:74
Phillipe Deschamps	AGE:19	PO:57	OV:72
*Adam Harber	AGE:20	PO:49	OV:72
Shayne Caranza	AGE:22	PO:58	OV:70

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	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
18	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
19	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
20	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
21	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur

[7/13/2019 10:31:08 AM] - Next Year Contract : Paul Berlo signed with Burlington Cougars for $2,250,000 for 5 year(s) with $0 in bonus.
[6/15/2019 12:39:23 PM] - TRADE : From Burlington Cougars to Indianapolis Racers : Rick McCoy (67), Heath Aiken (64).
[6/15/2019 12:39:23 PM] - TRADE : From Indianapolis Racers to Burlington Cougars : Mike Eckrich (66), Jarrett Herzog (66).
[6/13/2019 8:46:54 PM] - Yannick Lecomte was released.
[6/13/2019 8:46:54 PM] - Burlington Cougars paid $0 to release Yannick Lecomte.
[6/13/2019 8:46:44 PM] - Nick Gaughan was released.
[6/13/2019 8:46:44 PM] - Burlington Cougars paid $0 to release Nick Gaughan.
[6/13/2019 8:46:32 PM] - Nicholas Maynard was released.
[6/13/2019 8:46:32 PM] - Burlington Cougars paid $0 to release Nicholas Maynard.
[6/13/2019 8:46:19 PM] - Matt Cardine was released.
[6/13/2019 8:46:19 PM] - Burlington Cougars paid $0 to release Matt Cardine.
[6/13/2019 8:46:14 PM] - Michael Barrale was released.
[6/13/2019 8:46:14 PM] - Burlington Cougars paid $0 to release Michael Barrale.
[6/13/2019 8:46:08 PM] - Hugo Lapointe was released.
[6/13/2019 8:46:08 PM] - Burlington Cougars paid $0 to release Hugo Lapointe.
[6/13/2019 8:46:02 PM] - Grayson Doby was released.
[6/13/2019 8:46:02 PM] - Burlington Cougars paid $0 to release Grayson Doby.
[6/13/2019 8:45:57 PM] - Elliott Harsch was released.
[6/13/2019 8:45:57 PM] - Burlington Cougars paid $0 to release Elliott Harsch.
[6/13/2019 8:45:52 PM] - Drew Titterington was released.
[6/13/2019 8:45:52 PM] - Burlington Cougars paid $0 to release Drew Titterington.
[6/13/2019 8:45:47 PM] - Donovan Wilson was released.
[6/13/2019 8:45:47 PM] - Burlington Cougars paid $0 to release Donovan Wilson.
[6/13/2019 8:45:40 PM] - Don Arthur was released.
[6/13/2019 8:45:40 PM] - Burlington Cougars paid $0 to release Don Arthur.
[6/9/2019 4:33:28 PM] - Montpelier Cougars hired Mike Dawson for $275,000 for 3 year(s).
[6/9/2019 4:33:17 PM] - Burlington Cougars hired Dan Craig for $800,000 for 3 year(s).
[6/9/2019 11:36:53 AM] - Darren Bradbury signed with Burlington Cougars for $700,000 for 3 year(s).
[6/9/2019 11:36:53 AM] - Darren Bradbury was added to Burlington Cougars.
[6/9/2019 12:23:34 AM] - Sebastian Albertsen signed with Burlington Cougars for $215,000 for 2 year(s).
[6/9/2019 12:23:34 AM] - Sebastian Albertsen was added to Burlington Cougars.
[6/9/2019 12:23:17 AM] - Ron Grennan signed with Burlington Cougars for $455,000 for 2 year(s).
[6/9/2019 12:23:17 AM] - Ron Grennan was added to Burlington Cougars.
[6/9/2019 12:23:01 AM] - Dan Smith signed with Burlington Cougars for $417,500 for 2 year(s).
[6/9/2019 12:23:01 AM] - Dan Smith was added to Burlington Cougars.
[6/9/2019 12:22:48 AM] - Justin Anderson signed with Burlington Cougars for $467,500 for 2 year(s).
[6/9/2019 12:22:48 AM] - Justin Anderson was added to Burlington Cougars.
[6/7/2019 10:41:07 PM] - Tim Valtierra signed with Burlington Cougars for $325,000 for 2 year(s).
[6/7/2019 10:41:07 PM] - Tim Valtierra was added to Burlington Cougars.
[6/7/2019 10:40:49 PM] - Rian Westaby signed with Burlington Cougars for $550,000 for 2 year(s).
[6/7/2019 10:40:49 PM] - Rian Westaby was added to Burlington Cougars.
[6/7/2019 12:06:39 AM] - Craig Nelligan signed with Burlington Cougars for $550,000 for 1 year(s).
[6/7/2019 12:06:39 AM] - Craig Nelligan was added to Burlington Cougars.
[6/7/2019 12:06:24 AM] - Kyle Ancona signed with Burlington Cougars for $500,000 for 1 year(s).
[6/7/2019 12:06:24 AM] - Kyle Ancona was added to Burlington Cougars.
[6/5/2019 9:46:10 PM] - Dario Cicale signed with Burlington Cougars for $382,500 for 1 year(s).
[6/5/2019 9:46:10 PM] - Dario Cicale was added to Burlington Cougars.
[6/5/2019 9:39:13 PM] - Brad Sims signed with Burlington Cougars for $500,000 for 1 year(s).
[6/5/2019 9:39:13 PM] - Brad Sims was added to Burlington Cougars.
[6/5/2019 9:26:50 PM] - Darrell Friskney signed with Burlington Cougars for $755,000 for 3 year(s).
[6/5/2019 9:26:50 PM] - Darrell Friskney was added to Burlington Cougars.
[6/2/2019 7:14:19 PM] - Clint Traeger signed with Burlington Cougars for $333,333 for 2 year(s).
[6/2/2019 7:14:19 PM] - Clint Traeger was added to Burlington Cougars.
[6/2/2019 7:14:08 PM] - Steve Stensland signed with Burlington Cougars for $440,000 for 1 year(s).
[6/2/2019 7:14:08 PM] - Steve Stensland was added to Burlington Cougars.
[6/2/2019 7:09:00 PM] - Don Reddig signed with Burlington Cougars for $800,000 for 3 year(s).
[6/2/2019 7:09:00 PM] - Don Reddig was added to Burlington Cougars.
[6/2/2019 2:59:45 PM] - Henry Smith was added to Burlington Cougars.

[9/2/2019 1:26:50 PM] Montpelier Cougars lines for next game are empty. Current rosters/lines are not erased.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Montpelier Cougars.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Burlington Cougars.

No Injury or Suspension.

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	38	28	7	4	3	0	0	267	213	54	40	21	13	3	2	1	0	0	141	91	50	40	17	15	4	2	2	0	0	126	122	4	83	267	470	737	2	3	84	84	95	4	2523	896	836	774	17	2436	772	409	1582	351	56	15.95%	200	27	86.50%	3	1074	1988	54.02%	1051	1875	56.05%	661	1195	55.31%	1788	1050	1673	715	1389	711
07-08	80	30	37	8	4	1	0	0	254	290	-36	40	16	17	5	1	1	0	0	125	147	-22	40	14	20	3	3	0	0	0	129	143	-14	68	254	421	675	0	1	85	88	77	4	2586	968	833	768	17	2712	866	1935	1926	313	55	17.57%	253	42	83.40%	6	868	1925	45.09%	915	2035	44.96%	619	1417	43.68%	1629	840	1669	785	1550	785
08-09	80	39	33	6	1	1	0	0	266	264	2	40	17	18	5	0	0	0	0	124	135	-11	40	22	15	1	1	1	0	0	142	129	13	84	266	448	714	0	0	85	104	76	1	2768	1009	962	786	11	2835	895	980	1806	290	37	12.76%	227	37	83.70%	2	949	2006	47.31%	939	2042	45.98%	600	1357	44.22%	1663	897	3641	1691	1513	760
09-10	80	34	40	4	1	1	0	0	271	277	-6	40	22	16	0	1	1	0	0	149	130	19	40	12	24	4	0	0	0	0	122	147	-25	72	271	444	715	0	1	92	97	81	1	2757	961	914	874	8	2745	919	875	1752	279	48	17.20%	233	36	84.55%	7	915	1951	46.90%	1011	2091	48.35%	659	1400	47.07%	1667	909	5860	2693	1482	745
10-11	80	30	39	9	1	1	0	0	256	266	-10	40	15	17	7	0	1	0	0	125	120	5	40	15	22	2	1	0	0	0	131	146	-15	69	256	438	694	3	0	73	100	82	1	2706	937	914	839	16	2732	928	725	1752	290	41	14.14%	255	34	86.67%	3	894	2007	44.54%	987	2093	47.16%	575	1223	47.02%	1677	912	1691	760	1480	746
11-12	80	37	29	10	1	3	0	0	296	266	30	40	18	16	4	0	2	0	0	140	131	9	40	19	13	6	1	1	0	0	156	135	21	84	296	508	804	3	1	96	104	95	1	2731	1030	858	828	15	2684	869	561	1730	326	56	17.18%	256	45	82.42%	5	988	2044	48.34%	951	2062	46.12%	591	1222	48.36%	1714	956	1707	750	1437	726
12-13	80	41	21	11	5	2	0	0	288	237	51	40	15	13	8	3	1	0	0	137	131	6	40	26	8	3	2	1	0	0	151	106	45	93	288	489	777	1	0	102	85	96	5	2741	1024	883	798	36	2658	877	620	1731	351	51	14.53%	258	37	85.66%	1	974	2044	47.65%	921	2045	45.04%	590	1209	48.80%	1730	964	1691	749	1447	738
13-14	80	38	25	11	4	2	0	0	286	250	36	40	21	8	7	3	1	0	0	157	118	39	40	17	17	4	1	1	0	0	129	132	-3	87	286	487	773	2	0	98	99	85	4	2691	932	903	824	32	2786	920	685	1713	367	64	17.44%	307	49	84.04%	5	886	2130	41.60%	895	2190	40.87%	528	1201	43.96%	1721	962	1728	746	1423	720
14-15	80	35	29	6	7	3	0	0	278	245	33	40	21	12	4	1	2	0	0	154	126	28	40	14	17	2	6	1	0	0	124	119	5	76	278	489	767	1	1	84	94	93	7	2820	1041	894	867	18	2668	890	781	1614	388	68	17.53%	279	40	85.66%	4	1017	2183	46.59%	970	2094	46.32%	585	1236	47.33%	1749	1002	1689	739	1406	708
15-16	80	37	26	8	6	3	0	0	289	261	28	40	19	13	5	1	2	0	0	142	128	14	40	18	13	3	5	1	0	0	147	133	14	82	289	507	796	2	1	87	102	94	6	2742	1020	925	777	20	2786	898	791	1592	377	69	18.30%	373	53	85.79%	6	1024	2120	48.30%	1076	2250	47.82%	656	1258	52.15%	1741	990	1721	740	1390	696
16-17	80	35	31	7	5	2	0	0	245	241	4	40	21	11	4	3	1	0	0	123	104	19	40	14	20	3	2	1	0	0	122	137	-15	77	245	423	668	2	1	87	86	67	5	2489	910	819	744	16	2425	815	873	1620	296	55	18.58%	332	51	84.64%	2	1020	1888	54.03%	1003	1817	55.20%	637	1153	55.25%	1730	988	1699	740	1413	701
17-18	80	34	26	15	4	1	0	0	256	238	18	40	16	14	10	0	0	0	0	120	119	1	40	18	12	5	4	1	0	0	136	119	17	83	256	426	682	1	1	84	92	76	4	2479	903	760	788	28	2490	799	529	1467	304	41	13.49%	254	52	79.53%	3	1035	1921	53.88%	983	1845	53.28%	640	1185	54.01%	1758	1014	1716	728	1413	716
Total Regular Season	960	428	364	102	43	23	0	0	3252	3048	204	480	222	168	62	15	13	0	0	1637	1480	157	480	206	196	40	28	10	0	0	1615	1568	47	958	3252	5550	8802	17	10	1057	1135	1017	43	32033	11631	10501	9667	234	31957	10448	9764	20285	3932	641	16.30%	3227	503	84.41%	47	11644	24207	48.10%	11702	24439	47.88%	7341	15056	48.76%	20571	11488	26492	11841	17349	8758

Year	R1	R2	R3	R4	R5	R6	R7	R8
17	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
18	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
19	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
20	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
21	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur

Year	R1	R2	R3	R4	R5	R6	R7	R8
17	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
18	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
19	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
20	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
21	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur

Year	R1	R2	R3	R4	R5	R6	R7	R8
17	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
18	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
19	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
20	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur
21	Bur	Bur	Bur	Bur	Bur	Bur	Bur	Bur