Bruins
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule

Game Center
	Bruins 16-19-5, 37pts	0	Box score	2	Thunderbirds 13-19-8, 34pts

Team Stats
W1	Streak	L1
9-10-1	Home Record	7-10-3
7-9-4	Home Record	6-9-5
6-2-2	Last 10 Games	2-5-3
1.50	Goals Per Game	1.53
1.98	Goals Against Per Game	2.08
16.57%	Power Play Percentage	17.10%
73.77%	Penalty Kill Percentage	72.88%

Hockey Club
17-18-5, 39pts

Box score

Bruins
16-19-5, 37pts

Team Stats
L2	Streak	W1
9-10-1	Home Record	9-10-1
8-8-4	Home Record	7-9-4
3-5-2	Last 10 Games	6-2-2
1.70	Goals Per Game	1.50
1.75	Goals Against Per Game	1.98
21.94%	Power Play Percentage	16.57%
77.89%	Penalty Kill Percentage	73.77%

Team Leaders

Team Stats
Goals For 60 1.50 GFG	Shots For 650 16.25 Avg	Power Play Percentage 16.6% 29 GF	Offensive Zone Start 33.5%
Goals Against 79 1.98 GAA	Shots Against 655 16.38 Avg	Penalty Kill Percentage 73.8%% 48 GA	Defensive Zone Start 34.7%

Team Info
	General Manager	Simon Gaudrealt
	Division	Atlantique
	Conference	Conference Est
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	8,000
	Attendance	0
	Season Tickets	1,600
Roster Info
	Pro Team	14
	Farm Team	22
	Contract Limit	36 / 250
	Prospects	54

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
1	Zack Ostapchuk (R)	0	X				100.00	85	79	77	89	81	54	88	60	64	55	55	66	25	51	51	63	65	70	0	21	2	825,000$
2	Jake Lucchini (R)	0	X				100.00	72	67	84	69	67	83	89	62	78	58	60	64	57	49	49	64	65	70	0	29	2	775,000$
3	Dalibor Dvorsky (R)	0			X		100.00	78	74	88	67	74	75	78	64	50	60	64	66	61	44	44	67	65	69	0	19	3	918,333$
4	Noah Ostlund (R)	0	X				100.00	72	64	89	69	64	68	69	65	80	59	67	63	64	44	44	66	65	68	0	20	3	886,667$
5	Jeff Malott	0		X			100.00	81	94	83	78	82	56	90	62	44	58	55	64	25	45	45	62	65	68	0	28	2	775,000$
6	Adam Klapka (R)	0			X		100.00	99	70	74	71	92	54	81	61	37	61	71	63	25	47	47	69	65	66	0	24	1	775,000$
7	Liam Ohgren (R)	0		X			100.00	75	43	97	72	68	58	81	67	25	61	58	65	25	46	46	64	65	66	0	20	3	886,666$
8	Joshua Roy (R)	0		X	X		100.00	65	42	94	72	70	58	75	58	25	50	70	60	25	47	47	66	65	61	0	21	2	835,000$
9	Ty Emberson	0				X	100.00	81	58	91	81	72	66	93	60	25	51	48	85	25	57	57	64	65	73	0	24	1	950,000$
10	Emil Andrae (R)	0				X	100.00	76	43	88	72	65	72	84	69	25	51	47	72	25	48	48	62	65	69	0	22	2	903,333$
11	Domenick Fensore (R)	0				X	100.00	68	62	83	67	62	79	85	55	25	48	48	59	46	44	44	58	65	64	0	23	2	925,000$
12	Declan Carlile (R)	0				X	100.00	73	73	74	73	73	69	75	48	25	38	43	60	41	44	44	53	65	62	0	24	2	775,000$
13	Ville Heinola (R)	0				X	100.00	63	41	92	72	67	64	46	61	25	45	47	73	25	49	49	58	65	62	0	23	2	800,000$
Scratches

	TEAM AVERAGE						100.00	76	62	86	73	72	66	80	61	41	53	56	66	36	47	47	63	65	67

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	SP	Age	Contract	Salary
1	Trent Miner (R)	0	100.00	63	52	65	70	64	64	69	72	69	69	30	44	44	65	75	59	0	23	1	775,000$
Scratches

	TEAM AVERAGE		100.00	63	52	65	70	64	64	69	72	69	69	30	44	44	65	75	59

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Adam Klapka	Bruins (BOS)	RW	24	2000-09-14	CZE	Yes	235 Lbs	6 ft8	No	No	N/A		No	No	1	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Dalibor Dvorsky	Bruins (BOS)	RW	19	2005-06-15	SVK	Yes	201 Lbs	6 ft1	No	No	N/A		No	No	3	False	False	Pro & Farm	918,333$	0$	0$	No	918,333$	918,333$	-	-	-	-	-	-	-	918,333$	918,333$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Declan Carlile	Bruins (BOS)	D	24	2000-05-18	USA	Yes	192 Lbs	6 ft3	No	No	Assign Manually		No	No	2	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Domenick Fensore	Bruins (BOS)	D	23	2001-09-07	USA	Yes	175 Lbs	5 ft9	No	No	Assign Manually		No	No	2	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Emil Andrae	Bruins (BOS)	D	22	2002-02-23	SWE	Yes	189 Lbs	5 ft9	No	No	Assign Manually		No	No	2	False	False	Pro & Farm	903,333$	0$	0$	No	903,333$	-	-	-	-	-	-	-	-	903,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jake Lucchini	Bruins (BOS)	C	29	1995-05-09	CAN	Yes	180 Lbs	6 ft0	No	No	N/A		No	Yes	2	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jeff Malott	Bruins (BOS)	LW	28	1996-08-07	CAN	No	208 Lbs	6 ft5	No	No	N/A		No	Yes	2	False	False	Farm Only	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Joshua Roy	Bruins (BOS)	LW/RW	21	2003-08-06	CAN	Yes	192 Lbs	6 ft0	No	No	Trade	2025-09-05	No	No	2	False	False	Pro & Farm	835,000$	0$	0$	No	835,000$	-	-	-	-	-	-	-	-	835,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Liam Ohgren	Bruins (BOS)	LW	20	2004-01-28	SWE	Yes	187 Lbs	6 ft0	No	No	N/A		No	No	3	False	False	Pro & Farm	886,666$	0$	0$	No	886,666$	886,666$	-	-	-	-	-	-	-	886,666$	886,666$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Noah Ostlund	Bruins (BOS)	C	20	2004-03-11	SWE	Yes	175 Lbs	5 ft11	No	No	N/A		No	No	3	False	False	Pro & Farm	886,667$	0$	0$	No	886,667$	886,667$	-	-	-	-	-	-	-	886,667$	886,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Trent Miner	Bruins (BOS)	G	23	2001-02-05	CAN	Yes	185 Lbs	6 ft1	No	No	N/A		No	No	1	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ty Emberson	Bruins (BOS)	D	24	2000-05-23	USA	No	193 Lbs	6 ft2	No	No	N/A		No	No	1	False	False	Pro & Farm	950,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ville Heinola	Bruins (BOS)	D	23	2001-03-02	FIN	Yes	181 Lbs	6 ft0	No	No	N/A		No	No	2	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Zack Ostapchuk	Bruins (BOS)	C	21	2003-05-29	CAN	Yes	212 Lbs	6 ft4	No	No	N/A		No	No	2	False	False	Pro & Farm	825,000$	0$	0$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
14	22.93	193 Lbs	6 ft1	2.00	843,214$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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
1	Admirals	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	9	23	26	4	14	158	232	251	18	18	4	59	9	6	1	16.67%	7	4	42.86%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
2	Americans	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	9	23	26	4	16	158	232	251	18	14	5	16	7	7	2	28.57%	3	0	100.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
3	Barracuda	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	1	0	9	23	26	4	19	158	232	251	18	17	10	20	6	4	0	0.00%	5	1	80.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
4	Bears	2	0	1	0	0	0	0	1	1	4	-3	1	0	1	0	0	0	0	0	0	2	-2	1	0	0	0	0	0	0	1	1	2	-1	1	0.250	1	2	3	0	0	9	23	26	4	30	158	232	251	18	31	11	40	23	7	1	14.29%	15	3	80.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
5	Checkers	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	0	0	6	2	4	4	1.000	7	12	19	0	1	9	23	26	4	34	158	232	251	18	17	5	32	24	13	3	23.08%	11	1	90.91%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
6	Comets	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	9	23	26	4	20	158	232	251	18	17	4	10	9	4	0	0.00%	5	2	60.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
7	Condors	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	3	4	-1	1	0.500	3	6	9	0	0	9	23	26	4	17	158	232	251	18	18	3	15	5	5	3	60.00%	5	3	40.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
8	Crunch	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	4	7	0	0	9	23	26	4	16	158	232	251	18	17	7	67	4	4	2	50.00%	6	2	66.67%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
9	Devils	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	9	23	26	4	16	158	232	251	18	15	3	18	9	2	0	0.00%	4	1	75.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
10	Eagles	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	9	23	26	4	16	158	232	251	18	15	6	15	11	5	1	20.00%	5	2	60.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
11	Griffins	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	9	23	26	4	13	158	232	251	18	18	1	19	6	4	1	25.00%	7	2	71.43%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
12	Gulls	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	9	23	26	4	23	158	232	251	18	10	4	33	11	9	2	22.22%	4	0	100.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
13	Heat	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	9	23	26	4	19	158	232	251	18	18	4	11	11	4	2	50.00%	3	1	66.67%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
14	Hockey Club	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	9	23	26	4	19	158	232	251	18	10	5	42	10	9	0	0.00%	1	0	100.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
15	IceHogs	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	1	2	0	0	9	23	26	4	13	158	232	251	18	17	5	18	11	1	0	0.00%	4	3	25.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
16	Marlies	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	9	23	26	4	8	158	232	251	18	14	5	12	10	3	1	33.33%	1	0	100.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
17	Monsters	1	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	1	2	1.000	1	2	3	0	1	9	23	26	4	23	158	232	251	18	10	6	11	9	7	1	14.29%	3	0	100.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
18	Moose	2	1	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	1	0	1	1	0	1	0	0	0	0	0	0	2	-2	2	0.500	1	2	3	0	1	9	23	26	4	31	158	232	251	18	39	14	28	16	6	0	0.00%	9	2	77.78%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
19	Penguins	2	1	0	0	0	1	0	0	3	3	0	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	1	0	0	1	2	-1	3	0.750	3	6	9	0	0	9	23	26	4	33	158	232	251	18	40	15	38	13	8	2	25.00%	9	1	88.89%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
20	Phantoms	2	0	0	0	0	1	0	1	1	3	-2	1	0	0	0	0	0	0	1	0	1	-1	1	0	0	0	0	1	0	0	1	2	-1	2	0.500	1	2	3	0	0	9	23	26	4	23	158	232	251	18	27	6	60	20	11	1	9.09%	5	1	80.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
21	Rampage	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	9	23	26	4	22	158	232	251	18	17	8	61	10	2	0	0.00%	3	1	66.67%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
22	Reign	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	9	23	26	4	13	158	232	251	18	26	6	65	5	4	1	25.00%	5	1	80.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
23	Rocket	2	2	0	0	0	0	0	0	4	1	3	2	2	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	4	1.000	4	7	11	0	1	9	23	26	4	30	158	232	251	18	27	3	32	24	11	2	18.18%	6	1	83.33%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
24	Sagnéens	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	9	23	26	4	19	158	232	251	18	15	2	19	8	5	1	20.00%	7	2	71.43%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
25	Senators	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	9	23	26	4	9	158	232	251	18	21	5	17	9	4	1	25.00%	6	2	66.67%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
26	Sound Tigers	2	1	1	0	0	0	0	0	2	2	0	1	1	0	0	0	0	0	0	1	0	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	2	4	6	0	1	9	23	26	4	37	158	232	251	18	32	8	34	12	10	0	0.00%	7	0	100.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
27	Stars	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	9	23	26	4	16	158	232	251	18	12	4	8	7	1	0	0.00%	4	1	75.00%	1	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
28	Thunderbirds	2	0	2	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	1	2	3	0	0	9	23	26	4	27	158	232	251	18	35	10	76	17	5	0	0.00%	13	2	84.62%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
29	Wild	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	1	0	9	23	26	4	15	158	232	251	18	19	9	32	10	2	0	0.00%	6	1	83.33%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
30	Wolf Pack	2	1	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	1	0	1	2	0.500	3	6	9	0	1	9	23	26	4	44	158	232	251	18	51	29	140	25	6	1	16.67%	10	5	50.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
31	Wolves	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	9	23	26	4	15	158	232	251	18	18	3	18	15	6	0	0.00%	4	3	25.00%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
	Total	40	14	19	0	2	2	0	3	60	79	-19	20	8	10	0	1	0	0	1	28	36	-8	20	6	9	0	1	2	0	2	32	43	-11	37	0.463	60	111	171	2	6	9	23	26	4	650	158	232	251	18	655	210	1066	366	175	29	16.57%	183	48	73.77%	1	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
	_Since Last GM Reset	40	14	19	0	2	2	0	3	60	79	-19	20	8	10	0	1	0	0	1	28	36	-8	20	6	9	0	1	2	0	2	32	43	-11	37	0.463	60	111	171	2	6	9	23	26	4	650	158	232	251	18	655	210	1066	366	175	29	16.57%	183	48	73.77%	1	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
	_Vs Conference	23	10	8	0	1	2	0	2	34	36	-2	10	6	3	0	0	0	0	1	14	14	0	13	4	5	0	1	2	0	1	20	22	-2	26	0.565	34	63	97	0	5	9	23	26	4	366	158	232	251	18	368	122	603	215	102	17	16.67%	104	21	79.81%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230
	_Vs Division	9	5	5	0	0	2	0	2	18	16	2	5	3	3	0	0	0	0	1	10	8	2	4	2	2	0	0	2	0	1	8	8	0	14	0.778	18	32	50	0	1	9	23	26	4	119	158	232	251	18	146	36	239	77	38	9	23.68%	42	9	78.57%	0	291	556	52.34%	277	575	48.17%	277	528	52.46%	1033	759	931	274	467	230

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
40	37	W1	60	111	171	650	655	210	1066	366	2	6

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	14	19	2	2	0	3	60	79

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	8	10	1	0	0	1	28	36

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	6	9	1	2	0	2	32	43

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	2	0	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
175	29	16.57%	183	48	73.77%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
158	232	251	18	9	23	26	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
291	556	52.34%	277	575	48.17%	277	528	52.46%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1033	759	931	274	467	230

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	ST	OT	SO	Link
1 - 2025-10-05	7	Bruins	2	Senators	3	L			Box score
2 - 2025-10-06	20	Rocket	1	Bruins	3	W			Box score
4 - 2025-10-08	36	Bruins	1	Rampage	3	L			Box score
5 - 2025-10-09	54	Sound Tigers	0	Bruins	1	W			Box score
6 - 2025-10-10	71	Bruins	3	Condors	4	L	X	X	Box score
7 - 2025-10-11	83	Crunch	2	Bruins	3	W			Box score
9 - 2025-10-13	98	Bruins	1	IceHogs	4	L			Box score
11 - 2025-10-15	121	Phantoms	1	Bruins	0	L	X	X	Box score
12 - 2025-10-16	134	Eagles	3	Bruins	2	L			Box score
14 - 2025-10-18	153	Bruins	1	Penguins	2	L	X		Box score
16 - 2025-10-20	174	Bruins	3	Heat	2	W			Box score
17 - 2025-10-21	182	Thunderbirds	2	Bruins	1	L			Box score
18 - 2025-10-22	195	Wild	2	Bruins	0	L			Box score
19 - 2025-10-23	211	Bruins	1	Admirals	4	L			Box score
20 - 2025-10-24	232	Bruins	0	Devils	2	L			Box score
21 - 2025-10-25	243	Moose	0	Bruins	1	W			Box score
23 - 2025-10-27	260	Barracuda	3	Bruins	1	L			Box score
25 - 2025-10-29	275	Bruins	0	Comets	2	L			Box score
26 - 2025-10-30	295	Griffins	3	Bruins	2	L			Box score
28 - 2025-11-01	315	Bruins	6	Checkers	2	W			Box score
29 - 2025-11-02	330	Bruins	3	Gulls	2	W			Box score
30 - 2025-11-03	345	Stars	2	Bruins	1	L			Box score
31 - 2025-11-04	362	Checkers	0	Bruins	1	W			Box score
32 - 2025-11-05	380	Bruins	0	Moose	2	L			Box score
33 - 2025-11-06	392	Bruins	1	Sound Tigers	2	L			Box score
34 - 2025-11-07	407	Wolf Pack	5	Bruins	2	L			Box score
35 - 2025-11-08	419	Bruins	1	Monsters	0	W			Box score
37 - 2025-11-10	438	Sagnéens	2	Bruins	1	L			Box score
38 - 2025-11-11	454	Bruins	3	Americans	1	W			Box score
39 - 2025-11-12	466	Bears	2	Bruins	0	L			Box score
40 - 2025-11-13	486	Bruins	3	Marlies	2	W	X		Box score
41 - 2025-11-14	498	Bruins	1	Phantoms	2	L	X		Box score
42 - 2025-11-15	508	Penguins	1	Bruins	2	W			Box score
43 - 2025-11-16	529	Wolves	4	Bruins	1	L			Box score
44 - 2025-11-17	537	Bruins	1	Bears	2	L	X	X	Box score
45 - 2025-11-18	547	Bruins	1	Wolf Pack	0	W			Box score
47 - 2025-11-20	569	Reign	2	Bruins	3	W	X		Box score
50 - 2025-11-23	596	Rocket	0	Bruins	1	W			Box score
51 - 2025-11-24	608	Bruins	0	Thunderbirds	2	L			Box score
53 - 2025-11-26	629	Hockey Club	1	Bruins	2	W			Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	5000	3000
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	Capacity	Team Popularity
0	0 - 0.00%	0$	0$	8000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
11,804,980$	11,804,999$	11,804,999$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	11,804,980$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	214,636$	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: 40 \| W: 16 \| L: 19 \| OTL: 5 \| P: 37 GF: 60 \| GA: 79 \| PP%: 16.57% \| PK%: 73.77% GM : Simon Gaudrealt \| Morale : 56 \| Team Overall : 66