Boston Bruins
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Team Leaders

Team Stats

Team Info
	General Manager	Spencer Cawker
	Coach	Jeff Blashill
	Division	Atlantic
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	16
	Farm Team	16
	Contract Limit	32 / 50
	Prospects	47
Team History
	This Season	0-0-0 (0PTS)
	History	33-41-6 (0.413%)
	Playoff Appearances	1
	Playoff Record (W-L)	0-0
	Stanley Cup	0

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	Age	Contract	Salary
1	Joseph Blandisi	X	X	X		100.00	74	48	83	78	72	83	90	76	68	74	73	73	72	78	74	0	50	71	0	29	1	895,000$
2	T.J. Hensick	X	X	X		100.00	68	34	90	70	69	74	77	69	76	68	66	69	68	99	93	0	50	68	0	38	2	950,000$
3	Jack Dugan (R)		X			100.00	80	38	80	76	72	78	78	68	65	68	66	70	67	69	69	0	50	67	0	25	2	650,000$
4	Kasper Bjorkqvist (R)		X	X		100.00	75	42	82	74	77	78	78	67	62	65	65	70	65	66	68	0	50	66	0	26	1	950,000$
5	Patrick Brown	X		X		100.00	76	34	67	69	84	71	68	63	71	60	62	69	60	65	65	0	50	64	0	31	2	890,000$
6	Gustav Olofsson (R)				X	100.00	75	30	85	75	74	87	91	71	30	70	62	75	48	82	79	0	50	71	0	29	1	950,000$
7	Christian Wolanin (R)				X	100.00	70	30	82	77	75	84	83	65	30	64	52	74	42	75	71	0	50	69	0	28	2	700,000$
8	Linus Hogberg (R)				X	100.00	67	30	90	76	73	80	81	65	30	63	54	71	46	70	69	0	50	67	0	25	1	625,000$
9	Matthew Cairns (R)				X	100.00	77	55	76	72	78	74	74	60	30	58	48	70	42	68	66	0	50	65	0	25	2	800,000$
Scratches
1	Mike Hardman		X	X		100.00	95	35	80	72	82	83	86	73	70	72	71	73	67	73	71	0	50	71	0	24	2	790,000$
2	Michael Amadio (R)	X		X		100.00	69	30	95	75	77	86	87	72	79	71	69	71	62	79	76	0	50	70	0	27	3	890,000$
3	Chris Terry	X				100.00	72	49	86	70	74	80	80	68	79	68	67	72	58	92	87	0	50	69	0	34	2	780,000$
4	Mario Ferraro				X	100.00	76	30	81	81	71	91	95	73	30	72	61	78	47	76	78	0	50	73	1	25	3	1,100,000$
5	Mitchell Vande Sompel (R)				X	100.00	73	30	87	79	77	88	90	72	30	71	66	75	54	76	76	0	50	72	1	26	2	790,000$

	TEAM AVERAGE					100.00	75	37	83	75	75	81	83	69	54	67	63	72	57	76	74	0	50	69

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	Age	Contract	Salary
1	Mike Robinson (R)	100.00	84	71	70	88	84	77	78	78	79	77	74	63	63	0	50	76	0	26	2	800,000$
Scratches
1	Hunter Shepard (R)	100.00	83	77	78	83	83	81	82	81	81	80	79	68	70	0	50	78	0	28	2	890,000$

	TEAM AVERAGE	100.00	84	74	74	86	84	79	80	80	80	79	77	66	67	0	50	77

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeff Blashill	69	83	75	80	74	74	50	USA	50	2	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	Waiver Possible	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Chris Terry	Burlington Cougars (BOS)	C	34	7/12/1989 2:10:27 AM	No	191 Lbs	5 ft10	No	No	No	No	2	Pro & Farm	780,000$	0$	0$	No	780,000$		Link / NHL Link
Christian Wolanin	Burlington Cougars (BOS)	D	28	3/17/1995 8:44:58 AM	Yes	190 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		NHL Link
Gustav Olofsson	Burlington Cougars (BOS)	D	29	12/1/1994 8:23:09 AM	Yes	194 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	950,000$	0$	0$	No			Link / NHL Link
Hunter Shepard	Burlington Cougars (BOS)	G	28	11/7/1995 1:02:05 PM	Yes	209 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	890,000$	0$	0$	No	890,000$		NHL Link
Jack Dugan	Burlington Cougars (BOS)	LW	25	3/24/1998 8:42:46 AM	Yes	185 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	650,000$		NHL Link
Joseph Blandisi	Burlington Cougars (BOS)	C/LW/RW	29	7/18/1994 8:19:46 AM	No	187 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	895,000$	0$	0$	No			Link / NHL Link
Kasper Bjorkqvist	Burlington Cougars (BOS)	LW/RW	26	7/10/1997 10:06:53 AM	Yes	198 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	950,000$	0$	0$	No			Link / NHL Link
Linus Hogberg	Burlington Cougars (BOS)	D	25	9/4/1998 10:08:12 AM	Yes	176 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	625,000$	0$	0$	No			Link / NHL Link
Mario Ferraro	Burlington Cougars (BOS)	D	25	9/17/1998 2:27:29 PM	No	185 Lbs	5 ft11	No	No	No	No	3	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	1,100,000$	Link / NHL Link
Matthew Cairns	Burlington Cougars (BOS)	D	25	4/27/1998 8:47:45 AM	Yes	217 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$		NHL Link
Michael Amadio	Burlington Cougars (BOS)	C/RW	27	5/13/1996 8:15:57 AM	Yes	204 Lbs	6 ft1	No	No	No	No	3	Pro & Farm	890,000$	0$	0$	No	890,000$	890,000$	Link / NHL Link
Mike Hardman	Burlington Cougars (BOS)	LW/RW	24	2/5/1999 10:21:09 AM	No	205 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	790,000$	0$	0$	No	790,000$		Link / NHL Link
Mike Robinson	Burlington Cougars (BOS)	G	26	3/27/1997 8:49:20 AM	Yes	195 Lbs	6 ft3	No	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$		NHL Link
Mitchell Vande Sompel	Burlington Cougars (BOS)	D	26	2/11/1997 6:04:35 AM	Yes	198 Lbs	5 ft11	No	No	No	No	2	Pro & Farm	790,000$	0$	0$	No	790,000$		Link / NHL Link
Patrick Brown	Burlington Cougars (BOS)	C/RW	31	5/29/1992 8:07:46 AM	No	214 Lbs	5 ft11	No	No	No	No	2	Pro & Farm	890,000$	0$	0$	No	890,000$		Link / NHL Link
T.J. Hensick	Burlington Cougars (BOS)	C/LW/RW	38	7/12/1985 2:10:27 AM	No	190 Lbs	5 ft10	No	No	No	No	2	Pro & Farm	950,000$	0$	0$	No	950,000$		Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
16	27.88	196 Lbs	6 ft1	1.88	840,625$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Joseph Blandisi		Kasper Bjorkqvist	25	1	2	2
2			Patrick Brown	25	1	2	2
3			Patrick Brown	25	1	2	2
4	Patrick Brown			25	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Gustav Olofsson	25	1	2	2
2			25	1	2	2
3	Christian Wolanin	Linus Hogberg	25	1	2	2
4		Gustav Olofsson	25	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Patrick Brown	Kasper Bjorkqvist	50	1	2	2
2	Joseph Blandisi			50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Gustav Olofsson	50	1	2	2
2			50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			50	1	2	2
2	Kasper Bjorkqvist	Patrick Brown	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Gustav Olofsson	50	1	2	2
2			50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Patrick Brown	50	1	2	2		Gustav Olofsson	50	1	2	2
2		50	1	2	2			50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Patrick Brown	Joseph Blandisi	50	1	2	2
2			50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Gustav Olofsson	50	1	2	2
2			50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Joseph Blandisi		Gustav Olofsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Joseph Blandisi		Gustav Olofsson

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Patrick Brown, Kasper Bjorkqvist	, Patrick Brown	Patrick Brown

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Christian Wolanin, Linus Hogberg		, Christian Wolanin

Penalty Shots
Patrick Brown, , Joseph Blandisi, Kasper Bjorkqvist,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
Joseph Blandisi, , , Jack Dugan, , Patrick Brown, Patrick Brown, T.J. Hensick, , Kasper Bjorkqvist,

Custom OT Lines Defensemen
, Gustav Olofsson, , , Christian Wolanin

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	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	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	ST	OT	SO	RI	Link

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

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
41	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,345,000$	1,345,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

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

Burlington Cougars Players Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKS	GW	GT	FO%	P/20	PSG	PSS
1	Frederik Gauthier	82	27	38	65	-1	26	124	245	277	9.75%	18	1726	21.06	7	7	14	39	3	4	4	52.67	0.75	2	5
2	Joseph Blandisi	82	28	30	58	-1	24	112	150	256	10.94%	14	1553	18.95	5	9	14	28	4	3	2	49.15	0.75	1	6
3	Mitchell Vande Sompel	82	8	43	51	-16	46	179	140	129	6.20%	120	2080	25.38	1	6	7	49	1	1	1	0.00%	0.49	0	0
4	Gustav Olofsson	82	10	38	48	-10	28	208	91	104	9.62%	111	1869	22.80	6	6	12	54	0	1	1	0.00%	0.51	0	0
5	Patrick Brown	82	25	20	45	-10	23	119	138	251	9.96%	17	1486	18.12	3	1	4	29	0	2	1	49.15	0.61	0	3

Burlington Cougars Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Logan Thompson	43	17	16	7	0.895	3.10	2362	6	2	122	1160	4	0	0.733	15
2	Hunter Shepard	50	17	23	3	0.895	3.26	2559	8	0	139	1322	2	1	0.583	12
3	Mike Robinson	10	0	4	0	0.923	2.27	396	4	0	15	194	0	2	0.00%	0

Burlington Cougars Career Team Stats

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
2022	82	29	41	0	2	4	2	4	223	262	-39	41	15	19	0	0	3	1	3	117	128	-11	41	14	22	0	2	1	1	1	106	134	-28	74	223	394	617	3	1	104	54	61	8	2516	841	775	873	47	2492	728	434	1937	210	36	17.14%	195	43	77.95%	0	1486	2866	51.85%	1443	2826	51.06%	642	1296	49.54%	1944	1341	1953	604	1069	532
Total Regular Season	82	29	41	0	2	4	2	4	223	262	-39	41	15	19	0	0	3	1	3	117	128	-11	41	14	22	0	2	1	1	1	106	134	-28	74	223	394	617	3	1	104	54	61	8	2516	841	775	873	47	2492	728	434	1937	210	36	17.14%	195	43	77.95%	0	1486	2866	51.85%	1443	2826	51.06%	642	1296	49.54%	1944	1341	1953	604	1069	532
Playoff
Total Playoff	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	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

Burlington Cougars Players Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Burlington Cougars Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Burlington Cougars
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : Spencer Cawker \| Morale : 50 \| Team Overall : 70