LHSDB - Ligue de hockey simulee des debiles barbus

Boston Bruins
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records
Web Lines Editor

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	Cameron Hughes	19	X	X			99.00	55	39	74	65	64	85	86	63	74	66	64	67	62	69	71	40	50	64	0
2	Curtis McKenzie	0		X	X		99.00	72	43	72	60	81	80	84	58	63	60	59	61	58	74	79	26	50	63	0
3	Xavier Parent	0	X		X		99.00	62	39	73	63	62	87	85	62	68	61	60	62	61	64	66	43	50	62	0
4	Ryan McAllister	0	X				99.00	58	36	89	61	68	82	69	62	72	63	62	61	60	64	66	43	50	62	0
5	Dylan Roobroeck	0	X	X	X		99.00	88	53	81	59	97	77	73	57	62	56	61	58	60	62	63	51	50	61	0
6	Jacob Quillan	0	X	X	X		99.00	68	38	83	58	78	77	73	56	66	57	55	59	56	63	65	45	50	59	0
7	Tyler Kleven	43				X	100.00	82	54	82	67	94	82	87	62	30	63	60	66	51	63	65	73	50	68	0
8	Hunter McDonald	0				X	100.00	78	45	65	55	87	64	75	54	30	57	52	59	46	63	65	49	50	61	0
9	Cole Clayton	0				X	100.00	73	40	82	59	82	64	83	58	30	57	53	56	45	65	67	42	50	61	0
10	Maxence Guenette	0				X	100.00	65	38	86	59	78	81	83	58	30	57	56	55	49	64	66	48	50	61	0
Scratches
1	Alex Limoges	0	X	X	X		80.97	69	37	93	66	78	80	81	64	73	65	63	62	66	69	70	36	50	65	0
2	Noah Gregor	73	X	X	X		100.00	79	44	88	67	75	78	81	64	68	61	62	72	63	68	69	51	50	65	0
3	Thomas Bordeleau	17	X	X	X		86.07	59	37	78	68	66	87	83	66	74	64	63	62	71	64	65	75	50	64	0
4	Ethan Keppen	0		X			100.00	74	39	86	58	83	76	64	57	62	59	56	61	57	64	66	57	50	60	0
5	Lucas Ciona	0		X			100.00	76	44	66	59	85	74	83	58	53	57	56	55	58	62	64	49	50	60	0
6	Chase Wouters	0	X				100.00	62	40	74	59	71	79	86	58	64	57	56	55	58	65	70	42	50	60	0
7	Bokondji Imama	0		X	X		100.00	77	85	54	59	82	67	78	57	53	59	58	56	55	69	70	41	50	60	0
8	Luke Philp	0			X		100.00	58	37	90	58	67	74	73	56	66	59	57	54	58	70	72	35	50	59	0
9	Justin Ertel	0		X			100.00	70	40	77	58	79	65	63	56	61	59	54	57	55	62	64	65	50	58	0
10	Justin Gill	0	X				100.00	66	39	81	57	76	69	65	56	62	55	52	54	53	62	64	56	50	57	0
11	Steven Santini	0				X	100.00	75	39	89	59	86	77	83	58	30	57	56	65	48	70	72	59	50	65	0
12	Jimmy Schuldt	0				X	100.00	69	38	83	59	78	80	86	61	30	58	56	60	49	70	74	35	50	64	0

	TEAM AVERAGE					98.18	70	43	79	61	78	77	78	59	56	59	58	60	56	66	68	48	50	62

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	Jeremy Brodeur	98.00	71	72	67	71	70	69	71	70	69	71	70	69	83	36	50	69	0
2	Jesper Vikman	100.00	66	75	71	79	65	64	66	65	64	66	65	63	69	58	50	66	0
Scratches

	TEAM AVERAGE	99.00	69	74	69	75	68	67	69	68	67	69	68	66	76	47	50	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Alex Tanguay	64	66	72	70	69	64	80	CAN	46	7	1,000,000$

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	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Cameron Hughes	Bruins (Bos)	C/LW	18	6	14	20	3	2	0	13	39	54	14	39	11.11%	8	356	19.78	1	10	11	16	84	0	0	0	0	24	0	0	61.36%	295	1.12	0	1	0	0	0	1	0	2
2	Thomas Bordeleau	Bruins (Bos)	C/LW/RW	18	5	13	18	5	6	0	16	40	71	20	42	7.04%	7	385	21.42	4	3	7	19	82	0	1	1	0	40	0	2	68.97%	87	0.93	1	1	0	0	0	2	2	0
3	Dylan Roobroeck	Bruins (Bos)	C/LW/RW	18	3	13	16	10	31	5	50	11	26	7	17	11.54%	5	304	16.91	2	3	5	9	58	0	0	0	0	1	2	0	66.67%	27	1.05	0	0	0	1	0	1	0	1
4	Ryan McAllister	Bruins (Bos)	C	18	5	10	15	8	8	0	11	49	63	17	45	7.94%	10	305	16.98	0	0	0	2	12	0	0	0	0	20	1	0	62.08%	240	0.98	0	0	0	0	0	1	2	1
5	Alex Limoges	Bruins (Bos)	C/LW/RW	17	9	5	14	2	10	0	16	38	60	19	40	15.00%	4	389	22.91	4	1	5	12	85	1	0	1	2	48	2	1	57.45%	416	0.72	0	1	0	0	0	1	2	0
6	Xavier Parent	Bruins (Bos)	C/RW	18	9	5	14	4	4	0	22	31	62	13	44	14.52%	7	323	17.99	3	2	5	12	62	0	0	0	2	19	2	0	45.95%	74	0.86	0	0	0	0	0	0	1	2
7	Jacob Quillan	Bruins (Bos)	C/LW/RW	18	6	6	12	-1	8	0	24	32	54	20	42	11.11%	5	292	16.26	0	2	2	0	14	0	0	0	0	13	1	1	48.28%	58	0.82	0	0	0	0	0	2	1	0
8	Maxence Guenette	Bruins (Bos)	D	18	2	9	11	2	6	0	17	16	27	7	16	7.41%	25	416	23.12	0	3	3	16	97	0	0	0	0	56	0	0	0.00%	0	0.53	0	0	0	0	0	0	2	0
9	Curtis McKenzie	Bruins (Bos)	LW/RW	18	3	6	9	7	28	10	36	18	27	13	27	11.11%	3	333	18.53	0	3	3	7	60	0	0	0	0	21	0	0	60.00%	20	0.54	0	0	1	0	0	1	1	0
10	Hunter McDonald	Bruins (Bos)	D	18	3	6	9	1	30	10	23	8	15	4	8	20.00%	11	303	16.87	3	3	6	10	56	0	0	0	0	30	0	0	0.00%	0	0.59	0	0	0	1	1	0	0	0
11	Cole Clayton	Bruins (Bos)	D	18	1	7	8	0	21	5	12	9	15	5	8	6.67%	9	325	18.07	1	3	4	13	60	0	0	0	0	44	0	0	0.00%	1	0.49	0	0	0	1	0	0	1	1
12	Steven Santini	Bruins (Bos)	D	7	1	3	4	-4	8	0	8	9	10	9	18	10.00%	10	172	24.61	1	2	3	7	43	0	0	0	0	23	1	0	0.00%	0	0.46	0	0	0	0	0	0	0	1
13	Jimmy Schuldt	Bruins (Bos)	D	3	0	2	2	2	4	0	5	3	4	1	3	0.00%	2	64	21.64	0	0	0	4	16	0	0	0	0	8	0	0	0.00%	0	0.62	0	0	0	0	0	0	0	0
14	Luke Evangelista	Boston Bruins	RW	2	0	1	1	0	0	0	2	12	8	1	6	0.00%	0	50	25.05	0	1	1	3	14	0	0	0	0	10	0	0	43.48%	23	0.40	0	0	0	0	0	0	0	0
15	Tyler Kleven	Bruins (Bos)	D	2	0	0	0	0	0	0	4	0	1	0	2	0.00%	2	49	24.57	0	0	0	1	13	0	0	0	0	8	0	0	0.00%	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				211	53	100	153	39	166	30	259	315	497	150	357	10.66%	108	4072	19.30	19	36	55	131	759	1	1	2	4	372	9	4	58.90%	1241	0.75	1	3	1	3	1	9	12	8

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
1	Jeremy Brodeur	Bruins (Bos)	18	12	5	1	0.894	2.20	1089	2	0	40	378	0	1	0	1.000	3	18	0	0	0	2
Team Total or Average			18	12	5	1	0.894	2.20	1089	2	0	40	378	0	1	0	1.000	3	18	0	0	0	2

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	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	Link
Alex Limoges (Out of Payroll)	C/LW/RW	28	1997-09-16	No	201 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	Yes	Link / NHL Link
Bokondji Imama	LW/RW	29	1996-08-03	No	221 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Cameron Hughes	C/LW	29	1996-10-09	No	160 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Chase Wouters	C	25	2000-02-08	No	182 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cole Clayton	D	25	2000-02-29	No	209 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Curtis McKenzie	LW/RW	34	1991-02-22	No	205 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dylan Roobroeck	C/LW/RW	21	2004-07-27	No	207 Lbs	6 ft7	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Ethan Keppen	LW	24	2001-03-20	No	212 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Hunter McDonald	D	23	2002-05-11	No	205 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jacob Quillan	C/LW/RW	23	2002-02-02	No	204 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Jeremy Brodeur	G	29	1996-10-29	No	185 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link
Jesper Vikman	G	23	2002-03-11	No	179 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jimmy Schuldt	D	30	1995-05-11	No	203 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Justin Ertel	LW	22	2003-05-27	No	192 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Justin Gill	C	22	2003-01-27	No	195 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Lucas Ciona	LW	22	2003-01-08	No	210 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Luke Philp	RW	30	1995-11-06	No	181 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Maxence Guenette	D	24	2001-04-28	No	181 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Noah Gregor	C/LW/RW	27	1998-07-28	No	201 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ryan McAllister	C	23	2001-12-19	No	183 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Steven Santini	D	30	1995-03-07	No	214 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Thomas Bordeleau (Out of Payroll)	C/LW/RW	23	2002-01-03	No	180 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	Yes	Link / NHL Link
Tyler Kleven	D	23	2002-01-10	No	221 Lbs	6 ft5	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Xavier Parent	C/RW	24	2001-03-23	No	170 Lbs	5 ft8	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	25.54	196 Lbs	6 ft1	2.17	383,333$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Curtis McKenzie	40	1	2	2
2	Dylan Roobroeck	Cameron Hughes	Xavier Parent	30	1	2	2
3	Jacob Quillan	Ryan McAllister		20	1	2	2
4			Cameron Hughes	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Maxence Guenette	40	1	2	2
2	Cole Clayton	Hunter McDonald	30	1	2	2
3			20	1	2	2
4		Maxence Guenette	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Curtis McKenzie	60	1	2	2
2	Dylan Roobroeck	Cameron Hughes	Xavier Parent	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Maxence Guenette	60	1	2	2
2	Cole Clayton	Hunter McDonald	40	1	2	2

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

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Maxence Guenette	60	1	2	2
2	Cole Clayton	Hunter McDonald	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		Maxence Guenette	60	1	2	2
2		40	1	2	2	Cole Clayton	Hunter McDonald	40	1	2	2

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

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Maxence Guenette	60	1	2	2
2	Cole Clayton	Hunter McDonald	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Curtis McKenzie		Maxence Guenette

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Curtis McKenzie		Maxence Guenette

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ryan McAllister, Jacob Quillan, Xavier Parent	Ryan McAllister, Jacob Quillan	Xavier Parent

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Cole Clayton, Hunter McDonald,	Cole Clayton	Hunter McDonald,

Penalty Shots
, , Cameron Hughes, Curtis McKenzie, Ryan McAllister

Goalie
#1 : Jeremy Brodeur, #2 : Jesper Vikman

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
18	25	OTL1	60	103	163	543	378	122	217	318	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	10	5	1	1	1	0	60	40

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	5	0	0	0	0	35	25

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	0	1	1	1	0	25	15

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	3	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
113	20	17.70%	71	11	84.51%	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
184	170	186	6	24	16	18	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
376	629	59.78%	271	495	54.75%	172	279	61.65%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
477	347	402	127	211	107

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	Link
8 - 2025-08-22	3	Rocket	1	Bruins	2	W			BoxScore
9 - 2025-08-23	11	Bruins	2	Islanders	1	W	X		BoxScore
16 - 2025-08-30	52	Bruins	4	Thunderbirds	3	W			BoxScore
17 - 2025-08-31	61	Thunderbirds	3	Bruins	2	L			BoxScore
22 - 2025-09-05	75	Bears	4	Bruins	5	W			BoxScore
24 - 2025-09-07	97	Bears	3	Bruins	2	L			BoxScore
27 - 2025-09-10	107	Bruins	5	Senators	1	W			BoxScore
29 - 2025-09-12	114	Bruins	2	Rocket	1	W	X	X	BoxScore
30 - 2025-09-13	121	Bruins	3	Rocket	2	W			BoxScore
36 - 2025-09-19	151	Islanders	3	Bruins	2	L			BoxScore
37 - 2025-09-20	158	Bruins	3	Islanders	2	W			BoxScore
38 - 2025-09-21	172	Wolfpack	3	Bruins	1	L			BoxScore
43 - 2025-09-26	194	Monsters	1	Bruins	6	W			BoxScore
44 - 2025-09-27	203	Bruins	4	Wolfpack	2	W			BoxScore
45 - 2025-09-28	216	Monsters	3	Bruins	10	W			BoxScore
50 - 2025-10-03	232	Phantoms	1	Bruins	3	W			BoxScore
51 - 2025-10-04	249	Phantoms	3	Bruins	2	L			BoxScore
55 - 2025-10-08	264	Bruins	2	Comets	3	L	X		BoxScore
58 - 2025-10-11	286	Comets	-	Bruins	-
59 - 2025-10-12	295	Thunderbirds	-	Bruins	-
64 - 2025-10-17	311	Bruins	-	Comets	-
65 - 2025-10-18	324	Islanders	-	Bruins	-
66 - 2025-10-19	333	Penguins	-	Bruins	-
69 - 2025-10-22	344	Bruins	-	Islanders	-
71 - 2025-10-24	355	Islanders	-	Bruins	-
73 - 2025-10-26	377	Wolfpack	-	Bruins	-
76 - 2025-10-29	389	Bruins	-	Phantoms	-
78 - 2025-10-31	398	Bruins	-	Wolfpack	-
79 - 2025-11-01	417	Wolfpack	-	Bruins	-
85 - 2025-11-07	429	Bruins	-	Islanders	-
86 - 2025-11-08	440	Bruins	-	Wolfpack	-
93 - 2025-11-15	484	Bruins	-	Bears	-
94 - 2025-11-16	494	Bruins	-	Bears	-
99 - 2025-11-21	514	Islanders	-	Bruins	-
100 - 2025-11-22	529	Bruins	-	Thunderbirds	-
104 - 2025-11-26	548	Bruins	-	Crunch	-
107 - 2025-11-29	571	Crunch	-	Bruins	-
108 - 2025-11-30	580	Thunderbirds	-	Bruins	-
113 - 2025-12-05	606	Americans	-	Bruins	-
114 - 2025-12-06	621	Bruins	-	Thunderbirds	-
115 - 2025-12-07	628	Rocket	-	Bruins	-
120 - 2025-12-12	648	Bruins	-	Monsters	-
121 - 2025-12-13	665	Bruins	-	Monsters	-
127 - 2025-12-19	679	Thunderbirds	-	Bruins	-
128 - 2025-12-20	699	Bruins	-	Thunderbirds	-
134 - 2025-12-26	723	Comets	-	Bruins	-
135 - 2025-12-27	731	Bruins	-	Islanders	-
136 - 2025-12-28	744	Islanders	-	Bruins	-
141 - 2026-01-02	772	Comets	-	Bruins	-
142 - 2026-01-03	781	Bruins	-	Wolfpack	-
143 - 2026-01-04	795	Penguins	-	Bruins	-
146 - 2026-01-07	806	Bruins	-	Islanders	-
149 - 2026-01-10	832	Thunderbirds	-	Bruins	-
150 - 2026-01-11	841	Wolfpack	-	Bruins	-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16	863	Marlies	-	Bruins	-
156 - 2026-01-17	877	Bruins	-	Thunderbirds	-
160 - 2026-01-21	893	Bruins	-	Marlies	-
162 - 2026-01-23	907	Bruins	-	Americans	-
164 - 2026-01-25	926	Bruins	-	Thunderbirds	-
169 - 2026-01-30	950	Bruins	-	Penguins	-
170 - 2026-01-31	967	Bruins	-	Phantoms	-
173 - 2026-02-03	979	Bruins	-	Checkers	-
174 - 2026-02-04	983	Bruins	-	Checkers	-
177 - 2026-02-07	1009	Wolfpack	-	Bruins	-
178 - 2026-02-08	1018	Thunderbirds	-	Bruins	-
183 - 2026-02-13	1044	Checkers	-	Bruins	-
184 - 2026-02-14	1055	Bruins	-	Comets	-
185 - 2026-02-15	1065	Checkers	-	Bruins	-
190 - 2026-02-20	1079	Bruins	-	Wolfpack	-
191 - 2026-02-21	1099	Senators	-	Bruins	-
195 - 2026-02-25	1116	Bruins	-	Penguins	-
198 - 2026-02-28	1144	Islanders	-	Bruins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	18,844	9,789
Attendance PCT	94.22%	97.89%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
26	2863 - 95.44%	70,961$	709,610$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
300,595$	78,000$	78,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	25,595$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,844,986$	145	5,390$	781,550$

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
12	82	43	23	0	4	6	3	3	267	190	77	41	23	9	0	2	4	1	2	130	88	42	41	20	14	0	2	2	2	1	137	102	35	109	267	478	745	2	15	0	118	82	60	2382	0	855	786	721	1706	519	1302	1823	489	84	17.18%	544	77	85.85%	5	1617	2697	59.96%	1249	2159	57.85%	693	1159	59.79%	2278	1626	1708	560	988	530
13	76	48	17	0	2	4	3	2	246	143	103	38	25	8	0	2	1	2	0	123	67	56	38	23	9	0	0	3	1	2	123	76	47	112	246	435	681	0	11	0	98	88	55	2093	0	685	703	681	1751	501	934	1611	386	56	14.51%	402	50	87.56%	3	1278	2204	57.99%	1234	2236	55.19%	654	1073	60.95%	2051	1476	1650	518	903	480
14	76	44	22	0	2	5	3	0	215	135	80	38	25	9	0	1	2	1	0	110	69	41	38	19	13	0	1	3	2	0	105	66	39	103	215	380	595	0	11	0	92	69	49	2148	0	727	659	754	1621	437	712	1247	362	42	11.60%	281	36	87.19%	5	1491	2538	58.75%	1162	2173	53.47%	551	1047	52.63%	2028	1461	1640	530	921	484
14	76	44	22	0	2	5	3	0	215	135	80	38	25	9	0	1	2	1	0	110	69	41	38	19	13	0	1	3	2	0	105	66	39	103	215	380	595	0	11	0	92	69	49	2148	0	727	659	754	1621	437	712	1247	362	42	11.60%	281	36	87.19%	5	1491	2538	58.75%	1162	2173	53.47%	551	1047	52.63%	2028	1461	1640	530	921	484
14	76	44	22	0	2	5	3	0	215	135	80	38	25	9	0	1	2	1	0	110	69	41	38	19	13	0	1	3	2	0	105	66	39	103	215	380	595	0	11	0	92	69	49	2148	0	727	659	754	1621	437	712	1247	362	42	11.60%	281	36	87.19%	5	1491	2538	58.75%	1162	2173	53.47%	551	1047	52.63%	2028	1461	1640	530	921	484
15	82	40	33	0	2	2	4	1	240	186	54	41	23	13	0	2	1	2	0	129	77	52	41	17	20	0	0	1	2	1	111	109	2	95	240	433	673	1	8	0	88	82	64	2250	0	743	739	755	1852	588	1189	1549	431	77	17.87%	480	70	85.42%	3	1609	2612	61.60%	1339	2291	58.45%	682	1175	58.04%	2220	1594	1747	563	983	516
15	82	40	33	0	2	2	4	1	240	186	54	41	23	13	0	2	1	2	0	129	77	52	41	17	20	0	0	1	2	1	111	109	2	95	240	433	673	1	8	0	88	82	64	2250	0	743	739	755	1852	588	1189	1549	431	77	17.87%	480	70	85.42%	3	1609	2612	61.60%	1339	2291	58.45%	682	1175	58.04%	2220	1594	1747	563	983	516
16	82	48	19	0	5	2	3	5	266	147	119	41	24	8	0	3	2	2	2	133	71	62	41	24	11	0	2	0	1	3	133	76	57	119	266	478	744	0	17	0	101	75	82	2575	0	831	891	821	1700	526	988	1528	449	71	15.81%	403	41	89.83%	8	1684	2693	62.53%	1313	2242	58.56%	736	1171	62.85%	2261	1648	1748	554	961	506
17	72	44	17	0	3	3	2	3	252	136	116	36	21	8	0	3	0	2	2	133	60	73	36	23	9	0	0	3	0	1	119	76	43	104	252	454	706	0	13	0	103	73	71	2325	0	728	766	806	1530	486	809	1340	390	76	19.49%	348	55	84.20%	1	1487	2354	63.17%	1159	2011	57.63%	657	1041	63.11%	2045	1521	1491	470	822	441
18	72	33	29	0	4	5	0	1	266	228	38	36	18	11	0	2	5	0	0	143	111	32	36	15	18	0	2	0	0	1	123	117	6	80	266	478	744	1	3	0	94	87	81	2312	0	746	799	757	1816	569	988	1362	350	54	15.43%	408	70	82.84%	7	1317	2309	57.04%	1098	2004	54.79%	615	1126	54.62%	1815	1304	1665	499	855	426
19	71	24	34	0	1	5	7	0	215	217	-2	35	10	18	0	1	2	4	0	96	107	-11	36	14	16	0	0	3	3	0	119	110	9	69	215	377	592	3	1	0	90	66	51	2095	0	668	736	679	1798	534	949	1337	363	55	15.15%	411	68	83.45%	6	1337	2318	57.68%	1109	2024	54.79%	588	1081	54.39%	1830	1308	1631	498	844	425
20	18	10	5	0	1	1	1	0	60	40	20	10	5	5	0	0	0	0	0	35	25	10	8	5	0	0	1	1	1	0	25	15	10	25	60	103	163	0	0	24	16	18	2	543	184	170	186	6	378	122	217	318	113	20	17.70%	71	11	84.51%	1	376	629	59.78%	271	495	54.75%	172	279	61.65%	477	347	402	127	211	107
Total Regular Season	865	462	276	0	30	45	36	16	2697	1878	819	433	247	120	0	20	22	18	6	1381	890	491	432	215	156	0	10	23	18	10	1316	988	328	1117	2697	4809	7506	8	109	24	1072	860	677	25269	184	8350	8322	8243	19246	5744	10701	16158	4488	696	15.51%	4390	620	85.88%	52	16787	28042	59.86%	13597	24272	56.02%	7132	12421	57.42%	23287	16809	18715	5949	10318	5404
Playoff
12	4	0	4	0	0	0	0	0	7	14	-7	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	3	6	-3	0	7	14	21	0	0	0	2	2	3	76	0	32	20	24	100	46	93	81	33	3	9.09%	35	6	82.86%	0	56	123	45.53%	51	134	38.06%	28	72	38.89%	82	53	109	32	48	22
13	6	2	4	0	0	0	0	0	13	15	-2	3	1	2	0	0	0	0	0	7	7	0	3	1	2	0	0	0	0	0	6	8	-2	4	13	23	36	0	1	0	4	2	7	108	0	33	36	36	151	46	128	105	31	3	9.68%	51	9	82.35%	0	70	158	44.30%	103	215	47.91%	45	94	47.87%	139	92	156	48	79	35
14	4	0	4	0	0	0	0	0	4	9	-5	2	0	2	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	2	5	-3	0	4	8	12	1	0	0	2	2	0	116	0	39	28	39	103	24	56	72	26	1	3.85%	22	3	86.36%	0	77	156	49.36%	73	142	51.41%	36	64	56.25%	103	71	104	32	53	25
15	4	0	4	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	1	4	-3	0	5	9	14	0	0	0	1	2	2	80	0	28	27	21	93	30	63	64	29	4	13.79%	28	3	89.29%	0	62	118	52.54%	62	117	52.99%	25	56	44.64%	88	57	111	34	51	24
16	13	7	6	0	0	0	0	0	29	24	5	6	3	3	0	0	0	0	0	13	10	3	7	4	3	0	0	0	0	0	16	14	2	14	29	50	79	0	1	0	6	12	11	340	0	115	124	99	286	82	174	215	72	9	12.50%	75	10	86.67%	0	259	433	59.82%	229	399	57.39%	99	163	60.74%	320	222	310	97	159	81
17	6	2	4	0	0	0	0	0	13	15	-2	3	1	2	0	0	0	0	0	9	10	-1	3	1	2	0	0	0	0	0	4	5	-1	4	13	22	35	0	0	0	8	4	1	128	0	49	35	37	121	44	66	100	31	4	12.90%	32	4	87.50%	1	90	177	50.85%	69	166	41.57%	40	82	48.78%	145	99	154	49	76	36
18	6	2	4	0	0	0	0	0	7	18	-11	3	0	3	0	0	0	0	0	2	9	-7	3	2	1	0	0	0	0	0	5	9	-4	4	7	13	20	0	0	0	4	1	2	114	0	39	41	33	150	44	116	127	28	1	3.57%	47	5	89.36%	0	72	169	42.60%	94	189	49.74%	41	77	53.25%	121	77	163	47	75	34
19	11	6	5	0	0	0	0	0	42	44	-2	5	3	2	0	0	0	0	0	20	22	-2	6	3	3	0	0	0	0	0	22	22	0	12	42	71	113	1	0	0	22	13	7	358	0	124	97	137	320	92	104	228	66	15	22.73%	52	16	69.23%	1	194	334	58.08%	176	318	55.35%	102	187	54.55%	267	193	264	78	127	63
Total Playoff	54	19	35	0	0	0	0	0	120	150	-30	26	8	18	0	0	0	0	0	61	77	-16	28	11	17	0	0	0	0	0	59	73	-14	38	120	210	330	2	2	0	49	38	33	1320	0	459	408	426	1324	408	800	992	316	40	12.66%	342	56	83.63%	2	880	1668	52.76%	857	1680	51.01%	416	795	52.33%	1269	866	1374	420	672	325