Boston
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Bruins
0-0-0, 0pts

2024-04-19

Marlies
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Bruins
0-0-0, 0pts

2024-04-21

Marlies
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Marlies
0-0-0, 0pts

2024-04-23

Bruins
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Team Info
	General Manager	Patrick Doyon
	Division	Atlantique
	Conference	Est
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	21
	Contract Limit	45 / 50
	Prospects	23

Show or Hide Columns

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 Average
1	Kiefer Sherwood		X	X		100.00	74	59	63	74	73	80	73	71	45	66	67	67	71	66	57	0	50	68	0	27	2	1,000,000$
2	Jean-Luc Foudy (R)	X				100.00	63	44	67	70	60	61	59	63	58	62	55	63	63	50	50	0	50	61	0	20	3	847,500$
3	William Dufour (R)			X		100.00	60	44	63	64	65	60	61	64	42	63	61	54	63	50	50	0	50	60	0	20	3	859,167$
4	Luke Henman (R)	X				100.00	57	48	65	70	56	63	62	60	51	54	53	56	61	51	50	0	50	58	0	22	2	791,667$
5	Sampo Ranta		X			100.00	61	45	68	64	65	62	62	61	41	55	55	54	60	51	50	0	50	58	0	22	2	925,000$
6	Matthew Wedman		X			100.00	62	41	61	59	67	60	60	58	40	54	54	56	57	51	50	0	50	57	0	23	3	560,000$
7	Akil Thomas (R)	X				100.00	56	44	67	67	59	60	57	56	47	51	53	53	59	51	50	0	50	56	0	22	2	795,000$
8	Jack Kopacka		X			100.00	71	72	80	65	72	49	49	50	49	42	52	61	51	44	44	0	50	55	0	24	1	800,000$
9	Matej Pekar (R)	X		X		100.00	60	47	66	63	64	61	58	56	47	51	51	53	57	51	50	0	50	55	0	22	2	764,167$
10	Reece Newkirk (R)	X				100.00	56	47	65	67	58	59	56	55	50	51	51	53	58	50	50	0	50	55	0	21	3	828,333$
11	Jonathan Ang	X				100.00	57	61	81	57	61	59	63	48	68	45	42	57	45	44	44	0	50	52	0	24	1	825,000$
12	Jacob MacDonald				X	100.00	71	55	73	72	75	77	78	70	40	65	61	68	68	67	57	0	50	68	0	29	2	900,000$
13	Nicolas Meloche				X	100.00	71	44	63	69	73	71	67	65	40	62	57	70	63	55	50	0	50	65	0	25	2	925,000$
14	Marc Del Gaizo (R)				X	100.00	58	55	66	71	63	65	64	64	40	62	55	66	63	51	50	0	50	62	0	22	1	850,833$
15	Declan Carlile (R)				X	100.00	66	48	63	70	64	62	61	60	40	57	56	68	62	51	50	0	50	62	0	22	2	750,000$
16	Jeremy Groleau (R)				X	100.00	65	45	71	68	66	63	62	59	40	54	52	66	60	51	50	0	50	61	0	22	2	750,000$
17	Josh Brook				X	100.00	62	40	68	67	63	60	59	57	40	54	54	66	59	51	50	0	50	60	0	23	1	795,000$
18	Donovan Sebrango (R)				X	100.00	60	48	70	66	65	59	57	58	40	51	53	59	59	50	50	0	50	58	0	20	2	850,833$
Scratches
1	Zachary Gallant	X				100.00	67	72	66	60	72	46	47	47	62	45	42	58	42	44	44	0	50	52	0	23	1	525,000$
2	Julius Nattinen (R)	X				100.00	33	45	44	44	66	29	29	33	44	32	32	44	38	32	30	0	50	39	0	25	1	899,000$

	TEAM AVERAGE					100.00	62	50	67	65	65	60	59	58	46	54	53	60	58	51	49	0	50	58

Show or Hide Columns

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	TA	SP	Age	Contract	Salary Average
1	Cayden Primeau	100.00	72	66	69	74	71	71	73	70	73	71	65	54	51	0	50	65		0	23	2	925,000$
2	Jesper Wallstedt (R)	100.00	68	60	63	69	68	69	71	68	69	66	61	50	50	0	50	62		0	19	3	925,000$
Scratches
1	Mitchell Weeks (R)	100.00	66	58	57	65	63	64	66	64	64	62	57	50	50	0	50	58	N	0	21	2	620,000$
2	Alex D'Orio (R)	100.00	45	39	48	80	46	46	50	50	48	48	28	44	40	0	50	47		0	23	1	875,000$

	TEAM AVERAGE	100.00	63	56	59	72	62	63	65	63	64	62	53	50	48	0	50	58

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Columns

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 Columns

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 Columns

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 Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Akil Thomas	Bruins (Bos)	C	22	2000-01-02	Yes	172 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	795,000$	795,000$	0$	0$	No	795,000$		Link
Alex D'Orio	Bruins (Bos)	G	23	1999-04-28	Yes	209 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	875,000$	875,000$	0$	0$	No			Link
Cayden Primeau	Bruins (Bos)	G	23	1999-08-11	No	203 Lbs	6 ft3	No	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link
Declan Carlile	Bruins (Bos)	D	22	2000-05-18	Yes	190 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Link
Donovan Sebrango	Bruins (Bos)	D	20	2002-01-12	Yes	194 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	850,833$	850,833$	0$	0$	No	850,833$		Link
Jack Kopacka	Bruins (Bos)	LW	24	1998-03-05	No	191 Lbs	6 ft2	No	No	Yes	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No			Link
Jacob MacDonald (1 Way Contract)	Bruins (Bos)	D	29	1993-02-26	No	204 Lbs	6 ft0	No	No	Yes	No	2	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$		Link
Jean-Luc Foudy	Bruins (Bos)	C	20	2002-05-13	Yes	176 Lbs	5 ft11	No	No	No	No	3	Pro & Farm	847,500$	847,500$	0$	0$	No	847,500$	847,500$	Link
Jeremy Groleau	Bruins (Bos)	D	22	1999-10-25	Yes	194 Lbs	6 ft3	No	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Link
Jesper Wallstedt	Bruins (Bos)	G	19	2002-11-14	Yes	214 Lbs	6 ft3	No	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$
Jonathan Ang	Bruins (Bos)	C	24	1998-01-31	No	165 Lbs	5 ft11	No	No	Yes	No	1	Pro & Farm	825,000$	825,000$	0$	0$	No			Link
Josh Brook	Bruins (Bos)	D	23	1999-06-17	No	190 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	795,000$	795,000$	0$	0$	No			Link
Julius Nattinen	Bruins (Bos)	C	25	1997-01-14	Yes	192 Lbs	6 ft2	No	No	Yes	No	1	Pro & Farm	899,000$	899,000$	0$	0$	No			Link
Kiefer Sherwood (1 Way Contract)	Bruins (Bos)	LW/RW	27	1995-03-31	No	194 Lbs	6 ft0	No	No	Yes	No	2	Pro & Farm	1,000,000$	1,000,000$	100,000$	100,000$	No	1,000,000$		Link
Luke Henman	Bruins (Bos)	C	22	2000-04-29	Yes	152 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	791,667$	791,667$	0$	0$	No	791,667$		Link
Marc Del Gaizo	Bruins (Bos)	D	22	1999-10-11	Yes	187 Lbs	5 ft10	No	No	No	No	1	Pro & Farm	850,833$	850,833$	0$	0$	No			Link
Matej Pekar	Bruins (Bos)	C/RW	22	2000-02-10	Yes	185 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	764,167$	764,167$	0$	0$	No	764,167$		Link
Matthew Wedman	Bruins (Bos)	LW	23	1999-05-25	No	209 Lbs	6 ft4	No	No	No	No	3	Pro & Farm	560,000$	560,000$	0$	0$	No	560,000$	560,000$	Link
Mitchell Weeks (1 Way Contract)	Bruins (Bos)	G	21	2001-06-22	Yes	185 Lbs	6 ft3	Yes	No	No	No	2	Pro & Farm	620,000$	620,000$	0$	0$	No	620,000$		Link
Nicolas Meloche	Bruins (Bos)	D	25	1997-07-18	No	205 Lbs	6 ft3	No	No	Yes	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link
Reece Newkirk	Bruins (Bos)	C	21	2001-02-20	Yes	172 Lbs	5 ft11	No	No	No	No	3	Pro & Farm	828,333$	828,333$	0$	0$	No	828,333$	828,333$	Link
Sampo Ranta	Bruins (Bos)	LW	22	2000-05-31	No	194 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link
William Dufour	Bruins (Bos)	RW	20	2002-01-28	Yes	194 Lbs	6 ft3	No	No	No	No	3	Pro & Farm	859,167$	859,167$	0$	0$	No	859,167$	859,167$
Zachary Gallant	Bruins (Bos)	C	23	1999-03-06	No	194 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	525,000$	525,000$	0$	0$	No			Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	22.67	190 Lbs	6 ft1	1.92	816,104$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kiefer Sherwood	Jean-Luc Foudy	William Dufour	40	1	2	2
2	Sampo Ranta	Luke Henman	Matej Pekar	30	1	2	2
3	Matthew Wedman	Akil Thomas	Reece Newkirk	20	1	2	2
4	Jack Kopacka	Reece Newkirk	Kiefer Sherwood	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob MacDonald	Nicolas Meloche	40	1	2	2
2	Declan Carlile	Marc Del Gaizo	30	1	2	2
3	Jeremy Groleau	Josh Brook	20	1	2	2
4	Donovan Sebrango	Jacob MacDonald	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kiefer Sherwood	Jean-Luc Foudy	William Dufour	60	1	2	2
2	Sampo Ranta	Luke Henman	Matej Pekar	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob MacDonald	Nicolas Meloche	60	1	2	2
2	Declan Carlile	Marc Del Gaizo	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kiefer Sherwood	Jean-Luc Foudy	60	1	2	2
2	William Dufour	Luke Henman	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob MacDonald	Nicolas Meloche	60	1	2	2
2	Declan Carlile	Marc Del Gaizo	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Kiefer Sherwood	60	1	2	2	Jacob MacDonald	Nicolas Meloche	60	1	2	2
2	Jean-Luc Foudy	40	1	2	2	Declan Carlile	Marc Del Gaizo	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kiefer Sherwood	Jean-Luc Foudy	60	1	2	2
2	William Dufour	Luke Henman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob MacDonald	Nicolas Meloche	60	1	2	2
2	Declan Carlile	Marc Del Gaizo	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Kiefer Sherwood	Jean-Luc Foudy	William Dufour	Jacob MacDonald	Nicolas Meloche

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Kiefer Sherwood	Jean-Luc Foudy	William Dufour	Jacob MacDonald	Nicolas Meloche

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jonathan Ang, Matthew Wedman, Akil Thomas	Jonathan Ang, Matthew Wedman	Akil Thomas

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jeremy Groleau, Josh Brook, Donovan Sebrango	Jeremy Groleau	Josh Brook, Donovan Sebrango

Penalty Shots
Kiefer Sherwood, Jean-Luc Foudy, William Dufour, Luke Henman, Sampo Ranta

Goalie
#1 : Cayden Primeau, #2 : Jesper Wallstedt

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

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%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	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%	0	0	0%	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%	0	0	0%	0	0	0%

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 Columns

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 - 2024-04-19	4	Bruins	-	Marlies	-
3 - 2024-04-21	12	Bruins	-	Marlies	-
5 - 2024-04-23	20	Marlies	-	Bruins	-
7 - 2024-04-25	28	Marlies	-	Bruins	-
9 - 2024-04-27	36	Bruins	-	Marlies	-
11 - 2024-04-29	44	Marlies	-	Bruins	-
13 - 2024-05-01	52	Bruins	-	Marlies	-

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

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

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,706,650$	1,706,650$	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$	14	0$	0$

Bruins Players Stat Leaders (Regular Season)

Show or Hide Columns

#	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

Bruins Goalies Stat Leaders (Regular Season)

Show or Hide Columns

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

Bruins Career Team Stats

Show or Hide Columns

	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

Bruins Players Stat Leaders (Play-Off)

Show or Hide Columns

#	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

Bruins Goalies Stat Leaders (Play-Off)

Show or Hide Columns

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

	Bruins
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Patrick Doyon \| Morale : 50 \| Team Overall : 58 Next Games #4 vs Marlies