Ligue de hockey Simulée Ste-Flanelle

Bruins
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
History
Injury / Suspension
Career Team Stat
Web Roster Editor
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	Joe Pavelski			X		100.00	62	43	86	86	61	80	95	82	88	79	85	72	60	71	61	0	63	75	0
2	Eric Staal (A)	X	X			100.00	58	43	84	73	72	78	95	73	86	74	71	64	50	70	61	0	82	70	0
3	James Neal		X	X		100.00	66	43	76	76	77	78	94	73	35	69	76	66	47	61	51	0	84	70	0
4	Travis Zajac	X				100.00	58	43	86	73	59	78	91	67	86	68	66	78	56	65	56	0	84	68	0
5	David Perron		X	X		100.00	72	35	76	76	69	73	91	70	35	71	68	61	63	59	51	0	84	67	0
6	Mikael Granlund	X		X		100.00	61	35	88	79	56	75	93	68	82	73	63	65	45	46	41	0	84	66	0
7	Jamie McGinn		X	X		100.00	65	43	85	75	71	69	84	63	41	57	69	59	48	58	49	0	73	64	0
8	Brian Boyle	X	X			100.00	65	43	78	64	90	66	93	56	85	48	64	68	42	67	58	0	84	63	0
9	Derek MacKenzie	X	X			100.00	72	56	82	70	55	64	84	51	87	48	54	79	56	63	57	0	69	62	0
10	Dylan Larkin	X	X	X		100.00	56	35	84	81	63	59	55	63	42	58	68	65	42	35	32	0	77	61	0
11	Oscar Lindberg	X	X			100.00	69	43	80	74	67	60	53	59	77	56	62	64	48	35	32	0	81	60	0
12	Chris VandeVelde	X	X			100.00	61	43	86	69	64	63	86	49	35	50	48	72	48	47	43	0	84	59	0
13	Francois Beauchemin (C)				X	100.00	68	50	82	71	68	85	93	61	35	64	58	82	48	73	66	0	61	71	0
14	Andrej Sekera				X	100.00	59	43	90	73	64	81	94	57	35	63	51	80	48	59	51	0	84	68	0
15	Mike Green				X	100.00	72	35	83	74	68	76	91	63	35	70	55	67	45	68	60	0	79	68	0
16	Roman Polak				X	100.00	92	56	75	66	80	73	91	47	45	49	45	81	48	63	55	0	72	68	0
17	Jason Garrison				X	100.00	67	43	88	65	75	74	86	52	35	53	51	75	48	59	51	0	84	65	0
18	Andrew MacDonald				X	100.00	56	50	84	65	67	75	57	50	35	53	47	80	48	55	48	0	71	63	0
Scratches
1	Dustin Brown		X	X		100.00	76	35	86	73	71	74	95	61	40	58	63	68	50	72	66	0	35	66	0
2	Mike Weber				X	100.00	71	65	67	61	72	66	52	41	35	41	41	77	48	54	47	0	67	60	0

	TEAM AVERAGE					100.00	66	44	82	72	68	72	84	60	54	60	60	71	49	59	52	0	75	66

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	Steve Mason	100.00	83	85	96	80	84	85	80	85	89	76	78	55	48	0	72	79	0
2	Ray Emery	100.00	53	45	77	73	54	60	63	55	56	62	60	62	56	0	37	59	0
Scratches

	TEAM AVERAGE	100.00	68	65	87	77	69	73	72	70	73	69	69	59	52	0	55	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Gerard Gallant	99	94	87	99	88	67	89	CAN	52	3	500,000$

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	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Eric Staal	Boston	C/LW	82	29	58	87	33	25	5	60	147	191	0	15.18%	10	1490	18.17	6	18	24	49	366	1	0	1	1	31	1	1	54.59%	1676	0	0	1	1.17	3	11	0	1	0	4	5	8
2	Joe Pavelski	Boston	RW	73	43	42	85	28	60	10	82	111	319	0	13.48%	10	1224	16.78	13	15	28	100	317	0	0	0	1	41	6	1	46.84%	158	0	1	2	1.39	1	7	1	0	0	11	6	4
3	James Neal	Boston	LW/RW	82	28	48	76	31	62	0	144	92	255	0	10.98%	9	1456	17.76	6	21	27	71	357	0	0	0	0	27	2	3	34.51%	113	0	0	0	1.04	3	11	0	0	0	4	6	5
4	Mikael Granlund	Boston	C/RW	82	24	41	65	13	32	0	76	127	197	0	12.18%	9	1358	16.57	6	15	21	50	327	0	0	0	0	11	5	1	49.82%	827	0	0	0	0.96	0	0	0	0	0	5	5	4
5	David Perron	Boston	LW/RW	82	21	39	60	29	82	0	183	66	182	0	11.54%	4	1310	15.98	7	11	18	50	337	1	0	1	2	19	1	2	31.73%	104	0	0	0	0.92	1	2	0	0	0	5	0	5
6	Andrej Sekera	Boston	D	82	13	36	49	2	75	15	46	99	124	0	10.48%	86	1937	23.63	7	12	19	80	368	0	1	1	0	360	6	1	0.00%	0	0	0	0	0.51	1	1	0	1	2	2	1	4
7	Travis Zajac	Boston	C	82	15	34	49	32	41	5	45	186	173	0	8.67%	29	1305	15.92	2	3	5	9	34	1	0	1	7	283	3	1	53.75%	1613	0	0	0	0.75	1	3	0	0	1	2	2	3
8	Francois Beauchemin	Boston	D	76	16	31	47	-1	181	35	128	85	136	0	11.76%	93	1714	22.56	10	15	25	84	340	0	1	1	4	324	2	0	0.00%	0	0	0	0	0.55	0	0	0	1	5	1	4	3
9	Dylan Larkin	Boston	C/LW/RW	71	17	23	40	24	18	0	33	58	141	0	12.06%	5	1044	14.71	5	8	13	48	274	0	0	0	0	0	4	0	31.86%	204	0	0	1	0.77	0	0	0	0	0	3	3	0
10	Mike Green	Boston	D	79	7	30	37	25	90	0	142	52	70	0	10.00%	70	1739	22.02	5	13	18	45	320	0	0	0	0	254	0	1	0.00%	0	0	0	0	0.43	0	0	0	0	0	1	3	3
11	Andrew MacDonald	Boston	D	78	9	19	28	22	50	20	35	55	70	0	12.86%	67	1388	17.80	3	5	8	33	217	0	0	0	1	103	0	0	0.00%	0	0	0	0	0.40	0	1	1	0	3	1	2	2
12	Jason Garrison	Boston	D	82	7	20	27	22	30	0	36	53	91	0	7.69%	99	1746	21.30	6	7	13	55	306	0	0	0	2	317	1	0	0.00%	0	0	0	0	0.31	0	0	0	0	0	1	1	2
13	Jamie McGinn	Boston	LW/RW	79	12	11	23	1	24	0	60	39	80	0	15.00%	4	775	9.82	0	0	0	6	39	0	0	0	0	13	3	1	17.86%	56	0	0	0	0.59	0	0	0	0	0	1	3	1
14	Roman Polak	Boston	D	80	5	17	22	31	247	35	225	56	64	0	7.81%	93	1478	18.48	2	2	4	16	79	0	0	0	2	296	2	0	0.00%	0	0	0	0	0.30	0	0	6	0	0	2	0	3
15	Dustin Brown	Boston	LW/RW	58	9	11	20	-2	30	0	78	31	81	0	11.11%	0	831	14.33	4	3	7	23	156	0	0	0	0	73	2	2	35.42%	48	0	0	0	0.48	0	0	0	0	0	1	2	0
16	Mike Weber	Boston	D	67	1	14	15	15	199	55	173	31	19	0	5.26%	68	1074	16.04	0	0	0	2	14	0	1	1	0	168	0	1	0.00%	0	0	0	0	0.28	0	0	4	3	4	0	1	1
17	Brian Boyle	Boston	C/LW	82	5	8	13	-12	39	5	55	80	58	0	8.62%	8	892	10.88	0	0	0	0	3	0	0	0	2	259	0	1	57.35%	769	0	0	0	0.29	0	4	0	0	1	0	0	0
18	Chris VandeVelde	Boston	C/LW	81	8	5	13	-9	14	0	30	57	38	0	21.05%	13	936	11.56	0	1	1	2	37	0	0	0	2	384	2	0	28.89%	398	0	0	0	0.28	0	0	0	0	0	0	0	0
19	Derek MacKenzie	Boston	C/LW	75	5	4	9	-13	46	20	40	106	39	0	12.82%	14	705	9.41	0	0	0	1	12	0	0	0	1	272	0	1	52.05%	805	0	0	0	0.25	0	0	0	1	3	0	0	0
20	Oscar Lindberg	Boston	C/LW	26	2	1	3	-4	8	0	22	14	17	0	11.76%	4	294	11.33	0	0	0	1	8	0	0	0	0	73	1	0	27.27%	33	0	0	0	0.20	0	0	0	0	0	0	0	0
Team Total or Average			1499	276	492	768	267	1353	205	1693	1545	2345	0	11.77%	695	24707	16.48	82	149	231	725	3919	3	3	6	25	3318	41	17	50.21%	6804	0	1	4	0.62	10	40	12	7	19	44	44	48

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	Steve Mason	Boston	73	45	18	6	0.918	2.16	4175	0	6	150	1830	0	3	0	0.769	39	66	16	9	8	3
2	Ray Emery	Boston	15	4	7	1	0.893	2.68	762	0	1	34	318	0	0	0	0.400	5	12	34	2	1	0
Team Total or Average		88	49	25	7	0.914	2.24	4938	0	7	184	2148	0	3	0	0.727	44	78	50	11	9	3

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	Force Waivers	Contract	Status	Type	Current Salary	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Link
Andrej Sekera	Boston	D	29	1986-06-08	No	198 Lbs	6 ft0	No	No	4	RFA	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	3,250,000$		Link
Andrew MacDonald	Boston	D	29	1986-09-07	No	204 Lbs	6 ft1	No	No	1	RFA	Pro & Farm	1,999,999$					Link
Brian Boyle	Boston	C/LW	30	1984-12-18	No	243 Lbs	6 ft7	No	No	3	UFA	Pro & Farm	1,650,000$	1,650,000$	1,650,000$			Link
Chris VandeVelde	Boston	C/LW	28	1987-03-15	No	190 Lbs	6 ft2	No	No	1	RFA	Pro & Farm	800,000$					Link
David Perron	Boston	LW/RW	27	1988-05-28	No	200 Lbs	6 ft0	No	No	5	RFA	Pro & Farm	3,600,000$	3,600,000$	3,600,000$	3,600,000$	3,600,000$	Link
Derek MacKenzie	Boston	C/LW	34	1981-06-11	No	181 Lbs	5 ft11	No	No	1	UFA	Pro & Farm	750,000$					Link
Dustin Brown	Boston	LW/RW	30	1984-11-04	No	206 Lbs	6 ft0	No	No	2	UFA	Pro & Farm	4,800,000$	4,800,000$				Link
Dylan Larkin	Boston	C/LW/RW	19	1996-07-30	No	190 Lbs	6 ft1	No	No	4	ELC	Pro & Farm	925,000$	925,000$	925,000$	925,000$		Link
Eric Staal	Boston	C/LW	30	1984-10-29	No	205 Lbs	6 ft4	No	No	4	UFA	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	6,000,000$		Link
Francois Beauchemin	Boston	D	35	1980-06-04	No	208 Lbs	6 ft1	Yes	No	1	UFA	Pro & Farm	3,750,000$					Link
James Neal	Boston	LW/RW	28	1987-09-03	No	221 Lbs	6 ft2	No	No	1	RFA	Pro & Farm	3,300,000$					Link
Jamie McGinn	Boston	LW/RW	27	1988-08-05	No	205 Lbs	6 ft1	No	No	1	RFA	Pro & Farm	1,990,000$					Link
Jason Garrison	Boston	D	30	1984-11-13	No	223 Lbs	6 ft2	No	No	1	UFA	Pro & Farm	2,700,000$					Link
Joe Pavelski	Boston	RW	31	1984-07-11	No	190 Lbs	5 ft11	No	No	4	UFA	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	5,000,000$		Link
Mikael Granlund	Boston	C/RW	23	1992-02-26	No	184 Lbs	5 ft10	No	No	1	RFA	Pro & Farm	900,000$					Link
Mike Green	Boston	D	29	1985-10-12	No	207 Lbs	6 ft1	No	No	1	RFA	Pro & Farm	4,700,000$					Link
Mike Weber	Boston	D	27	1987-12-16	No	217 Lbs	6 ft2	No	No	4	RFA	Pro & Farm	1,350,000$	1,350,000$	1,350,000$	1,350,000$		Link
Oscar Lindberg	Boston	C/LW	23	1991-10-29	No	195 Lbs	6 ft1	No	No	3	RFA	Pro & Farm	750,000$	750,000$	750,000$			Link
Ray Emery	Boston	G	33	1982-09-28	No	196 Lbs	6 ft2	No	No	2	UFA	Pro & Farm	1,175,000$	1,150,000$				Link
Roman Polak	Boston	D	29	1986-04-28	No	237 Lbs	6 ft0	No	No	3	RFA	Pro & Farm	2,350,000$	2,350,000$	2,350,000$			Link
Steve Mason	Boston	G	27	1988-05-29	No	210 Lbs	6 ft4	No	No	1	RFA	Pro & Farm	3,800,000$					Link
Travis Zajac	Boston	C	30	1985-05-13	No	185 Lbs	6 ft2	No	No	4	UFA	Pro & Farm	3,400,000$	3,400,000$	3,400,000$	3,400,000$		Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	28.55	204 Lbs	6 ft1	2.36	2,679,091$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
58,939,999$	34,225,000$	28,275,000$	23,525,000$	3,600,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	James Neal	Eric Staal	Dylan Larkin	32	1	1	3
2	Mikael Granlund	Travis Zajac	Joe Pavelski	32	0	1	4
3	Oscar Lindberg	Derek MacKenzie	David Perron	26	1	2	2
4	Chris VandeVelde	Brian Boyle	Jamie McGinn	10	1	3	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Francois Beauchemin	Andrej Sekera	32	1	2	2
2	Mike Green	Jason Garrison	31	1	2	2
3	Andrew MacDonald	Roman Polak	31	1	3	1
4	Francois Beauchemin	Andrej Sekera	6	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	James Neal	Eric Staal	David Perron	50	1	0	4
2	Dylan Larkin	Mikael Granlund	Joe Pavelski	50	1	0	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Francois Beauchemin	Andrej Sekera	50	1	0	4
2	Mike Green	Jason Garrison	50	1	0	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brian Boyle	Chris VandeVelde	50	1	4	0
2	Travis Zajac	Derek MacKenzie	50	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Francois Beauchemin	Andrej Sekera	50	1	4	0
2	Roman Polak	Andrew MacDonald	50	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Brian Boyle	50	1	4	0	Francois Beauchemin	Andrej Sekera	50	1	4	0
2	Derek MacKenzie	50	1	4	0	Mike Green	Andrew MacDonald	50	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Eric Staal	James Neal	50	1	1	3
2	Travis Zajac	Joe Pavelski	50	1	1	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Francois Beauchemin	Andrej Sekera	50	1	2	2
2	Mike Green	Jason Garrison	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
James Neal	Eric Staal	Joe Pavelski	Francois Beauchemin	Andrej Sekera

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
James Neal	Travis Zajac	Joe Pavelski	Francois Beauchemin	Andrej Sekera

Extra Forwards
Normal	PowerPlay	Penalty Kill
Chris VandeVelde, Jamie McGinn, Brian Boyle	Chris VandeVelde, Jamie McGinn	Brian Boyle

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Andrew MacDonald, Andrej Sekera, Mike Green	Andrew MacDonald	Francois Beauchemin, Mike Green

Penalty Shots
Joe Pavelski, James Neal, Eric Staal, Travis Zajac, David Perron

Goalie
#1 : Steve Mason, #2 : Ray Emery

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall											Home											Visitor
VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Vs Division	30	16	8	0	0	1	3	2	101	87	14	15	6	7	0	0	0	2	0	41	47	-6	15	10	1	0	0	1	1	2	60	40	20	41	0.683	101	177	278	0	1	43	28	27	6	820	283	257	270	32	810	253	482	607	153	31	20.26%	201	38	81.09%	0	1355	2814	48.15%	1383	2841	48.68%	644	1265	50.91%	689	455	753	239	384	188
Vs Conference	54	26	19	0	0	1	5	3	172	147	25	27	11	12	0	0	0	3	1	78	76	2	27	15	7	0	0	1	2	2	94	71	23	66	0.611	172	297	469	0	3	70	50	47	8	1544	517	491	522	46	1419	459	825	1082	286	49	17.13%	331	58	82.48%	1	1355	2814	48.15%	1383	2841	48.68%	644	1265	50.91%	1268	847	1325	423	688	340
Since Last GM Reset	82	41	28	0	1	1	6	5	279	221	58	41	19	18	0	0	0	3	1	124	110	14	41	22	10	0	1	1	3	4	155	111	44	102	0.622	279	484	763	0	6	111	78	83	11	2355	796	750	783	67	2209	654	1287	1585	442	77	17.42%	493	75	84.79%	3	1355	2814	48.15%	1383	2841	48.68%	644	1265	50.91%	1928	1296	2002	645	1048	516
Total	82	41	28	0	1	1	6	5	279	221	58	41	19	18	0	0	0	3	1	124	110	14	41	22	10	0	1	1	3	4	155	111	44	102	0.622	279	484	763	0	6	111	78	83	11	2355	796	750	783	67	2209	654	1287	1585	442	77	17.42%	493	75	84.79%	3	1355	2814	48.15%	1383	2841	48.68%	644	1265	50.91%	1928	1296	2002	645	1048	516

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	102	W2	279	484	763	2355	2209	654	1287	1585	0	6

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	41	28	1	1	6	5	279	221

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	18	0	0	3	1	124	110

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	22	10	1	1	3	4	155	111

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	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
442	77	17.42%	493	75	84.79%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
796	750	783	67	111	78	83	11

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1355	2814	48.15%	1383	2841	48.68%	644	1265	50.91%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1928	1296	2002	645	1048	516

Last Played Games

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
2 - 2016-10-13	13	Boston	5	Atlanta	2	W			BoxScore
4 - 2016-10-15	18	Boston	4	Toronto	3	W			BoxScore
6 - 2016-10-17	36	Boston	8	Winnipeg	0	W			BoxScore
9 - 2016-10-20	51	Hartford	2	Boston	6	W			BoxScore
11 - 2016-10-22	74	Montreal	1	Boston	2	W			BoxScore
14 - 2016-10-25	83	Minnesota	0	Boston	6	W			BoxScore
15 - 2016-10-26	94	Boston	3	Rangers	5	L			BoxScore
18 - 2016-10-29	113	Boston	2	Detroit	3	L	X	X	BoxScore
21 - 2016-11-01	132	Boston	4	Quebec	2	W			BoxScore
23 - 2016-11-03	154	Boston	5	Tampa Bay	4	W			BoxScore
25 - 2016-11-05	162	Rangers	2	Boston	7	W			BoxScore
27 - 2016-11-07	180	Buffalo	3	Boston	4	W	X	X	BoxScore
28 - 2016-11-08	189	Boston	6	Montreal	2	W			BoxScore
30 - 2016-11-10	203	Atlanta	2	Boston	0	L			BoxScore
32 - 2016-11-12	214	Boston	5	Nashville	0	W			BoxScore
33 - 2016-11-13	227	Boston	4	Colorado	5	L			BoxScore
37 - 2016-11-17	248	Boston	3	Minnesota	2	W			BoxScore
39 - 2016-11-19	267	Winnipeg	1	Boston	4	W			BoxScore
42 - 2016-11-22	285	St-Louis	2	Boston	1	L			BoxScore
44 - 2016-11-24	301	Boston	6	Ottawa	2	W			BoxScore
45 - 2016-11-25	304	Calgary	3	Boston	4	W			BoxScore
47 - 2016-11-27	325	Tampa Bay	2	Boston	3	W	X	X	BoxScore
49 - 2016-11-29	331	Boston	3	Philadelphie	5	L			BoxScore
51 - 2016-12-01	345	Caroline	1	Boston	4	W			BoxScore
53 - 2016-12-03	366	Boston	1	Buffalo	2	L	X	X	BoxScore
55 - 2016-12-05	378	Quebec	4	Boston	3	L			BoxScore
57 - 2016-12-07	392	Boston	3	Washington	2	W	X	X	BoxScore
58 - 2016-12-08	395	Colorado	5	Boston	3	L			BoxScore
60 - 2016-12-10	419	Toronto	1	Boston	3	W			BoxScore
62 - 2016-12-12	430	Boston	5	Montreal	4	W	X	X	BoxScore
64 - 2016-12-14	442	Boston	3	Pittsburgh	0	W			BoxScore
65 - 2016-12-15	445	Anaheim	2	Boston	0	L			BoxScore
68 - 2016-12-18	473	LA Kings	3	Boston	2	L			BoxScore
70 - 2016-12-20	481	Islanders	1	Boston	0	L			BoxScore
72 - 2016-12-22	501	Boston	1	Quebec	3	L			BoxScore
73 - 2016-12-23	515	Boston	2	Caroline	4	L			BoxScore
77 - 2016-12-27	520	Boston	1	Atlanta	2	L			BoxScore
79 - 2016-12-29	532	Boston	6	Buffalo	2	W			BoxScore
81 - 2016-12-31	552	Buffalo	0	Boston	3	W			BoxScore
83 - 2017-01-02	563	Boston	5	Hartford	0	W			BoxScore
86 - 2017-01-05	578	Edmonton	2	Boston	6	W			BoxScore
88 - 2017-01-07	593	Boston	3	Quebec	2	W			BoxScore
89 - 2017-01-08	604	Boston	3	Caroline	2	W			BoxScore
91 - 2017-01-10	614	Boston	5	St-Louis	8	L			BoxScore
93 - 2017-01-12	627	Boston	3	Las Vegas	2	W	X		BoxScore
95 - 2017-01-14	640	Philadelphie	4	Boston	2	L			BoxScore
97 - 2017-01-16	656	Islanders	5	Boston	2	L			BoxScore
99 - 2017-01-18	674	Boston	2	Detroit	3	L	X		BoxScore
101 - 2017-01-20	685	Chicago	6	Boston	2	L			BoxScore
103 - 2017-01-22	702	Boston	1	Pittsburgh	4	L			BoxScore
105 - 2017-01-24	714	Detroit	5	Boston	4	L			BoxScore
107 - 2017-01-26	738	Pittsburgh	2	Boston	1	L			BoxScore
112 - 2017-01-31	752	Boston	5	Tampa Bay	3	W			BoxScore
113 - 2017-02-01	755	Boston	3	Washington	2	W			BoxScore
116 - 2017-02-04	774	Toronto	3	Boston	2	L			BoxScore
121 - 2017-02-09	806	San Jose	2	Boston	4	W			BoxScore
123 - 2017-02-11	815	Vancouver	4	Boston	3	L			BoxScore
124 - 2017-02-12	832	Montreal	7	Boston	5	L			BoxScore
131 - 2017-02-19	874	Boston	6	San Jose	2	W			BoxScore
134 - 2017-02-22	893	Boston	7	Anaheim	6	W	X	X	BoxScore
135 - 2017-02-23	899	Boston	2	LA Kings	4	L			BoxScore
138 - 2017-02-26	912	Boston	3	Kansas City	1	W			BoxScore
140 - 2017-02-28	925	Nashville	1	Boston	3	W			BoxScore
142 - 2017-03-02	936	Rangers	1	Boston	3	W			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
144 - 2017-03-04	952	Hartford	4	Boston	3	L	X	X	BoxScore
146 - 2017-03-06	970	Boston	6	Ottawa	4	W			BoxScore
148 - 2017-03-08	982	Detroit	4	Boston	0	L			BoxScore
151 - 2017-03-11	1002	Philadelphie	3	Boston	4	W	X	X	BoxScore
153 - 2017-03-13	1021	Boston	1	Vancouver	2	L	X	X	BoxScore
155 - 2017-03-15	1034	Boston	4	Calgary	5	L	X	X	BoxScore
156 - 2017-03-16	1046	Boston	4	Edmonton	1	W			BoxScore
160 - 2017-03-20	1070	Boston	4	Toronto	1	W			BoxScore
161 - 2017-03-21	1075	Ottawa	3	Boston	4	W			BoxScore
163 - 2017-03-23	1089	Tampa Bay	2	Boston	0	L			BoxScore
165 - 2017-03-25	1110	Boston	2	Islanders	3	L			BoxScore
168 - 2017-03-28	1127	Las Vegas	1	Boston	4	W			BoxScore
170 - 2017-03-30	1146	Kansas City	2	Boston	4	W			BoxScore
172 - 2017-04-01	1157	Quebec	1	Boston	2	W			BoxScore
173 - 2017-04-02	1165	Boston	6	Chicago	2	W			BoxScore
175 - 2017-04-04	1187	Tampa Bay	9	Boston	0	L			BoxScore
177 - 2017-04-06	1197	Ottawa	2	Boston	6	W			BoxScore
179 - 2017-04-08	1209	Washington	2	Boston	5	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6105	5180	2035	4070	1110
Ticket Price	180	100	99	98	350
Attendance	196545	171352	64875	113138	31423
Attendance PCT	78.52%	80.68%	77.76%	67.80%	69.05%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	14081 - 76.12%	1,523,898$	62,479,829$	18500	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
54,139,999$	54,146,249$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
54,838,348$	299,116$	54,335,552$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	301,878$	0$

Team Total Estime
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	56,821,668$	95,637,113$	95,637,113$

Depth Chart

Left Wing

Center

Right Wing

Eric Staal	AGE:30	PO:0	OV:70
James Neal	AGE:28	PO:0	OV:70
David Perron	AGE:27	PO:0	OV:67
Dustin Brown	AGE:30	PO:0	OV:66
Jamie McGinn	AGE:27	PO:0	OV:64
Brian Boyle	AGE:30	PO:0	OV:63
Derek MacKenzie	AGE:34	PO:0	OV:62
Dylan Larkin	AGE:19	PO:0	OV:61
Oscar Lindberg	AGE:23	PO:0	OV:60
Chris VandeVelde	AGE:28	PO:0	OV:59
Taylor Beck	AGE:24	PO:0	OV:55
Brandon Mashinter	AGE:27	PO:0	OV:52
Zach Boychuk	AGE:26	PO:0	OV:52
Dana Tyrell	AGE:26	PO:0	OV:50
*Morgan Klimchuk	AGE:20	PO:0	OV:49
Brandon Defazio	AGE:27	PO:0	OV:46
Brendan Ranford	AGE:23	PO:0	OV:46
*Connor Crisp	AGE:21	PO:0	OV:44
*Justin Kea	AGE:21	PO:0	OV:44
*Ben Thomson	AGE:22	PO:0	OV:42

Eric Staal	AGE:30	PO:0	OV:70
Travis Zajac	AGE:30	PO:0	OV:68
Mikael Granlund	AGE:23	PO:0	OV:66
Brian Boyle	AGE:30	PO:0	OV:63
Derek MacKenzie	AGE:34	PO:0	OV:62
Dylan Larkin	AGE:19	PO:0	OV:61
Oscar Lindberg	AGE:23	PO:0	OV:60
Chris VandeVelde	AGE:28	PO:0	OV:59
Logan Shaw	AGE:22	PO:0	OV:54
Alan Quine	AGE:22	PO:0	OV:51
*Mark Jankowski	AGE:21	PO:0	OV:49
Travis Morin	AGE:31	PO:0	OV:48
Mark McNeill	AGE:22	PO:0	OV:48
Colin Smith	AGE:22	PO:0	OV:45
*Justin Kea	AGE:21	PO:0	OV:44
*Keegan Iverson	AGE:19	PO:0	OV:44

Joe Pavelski	AGE:31	PO:0	OV:75
James Neal	AGE:28	PO:0	OV:70
David Perron	AGE:27	PO:0	OV:67
Dustin Brown	AGE:30	PO:0	OV:66
Mikael Granlund	AGE:23	PO:0	OV:66
Jamie McGinn	AGE:27	PO:0	OV:64
Dylan Larkin	AGE:19	PO:0	OV:61
Taylor Beck	AGE:24	PO:0	OV:55
Logan Shaw	AGE:22	PO:0	OV:54
Zach Boychuk	AGE:26	PO:0	OV:52
Dana Tyrell	AGE:26	PO:0	OV:50
Mark McNeill	AGE:22	PO:0	OV:48
Brendan Ranford	AGE:23	PO:0	OV:46
Colin Smith	AGE:22	PO:0	OV:45
*Nicolas Aube-Kubel	AGE:19	PO:0	OV:45
*Keegan Iverson	AGE:19	PO:0	OV:44
*Matt Iacopelli	AGE:21	PO:0	OV:44
*Alexander Fallstrom	AGE:25	PO:0	OV:42
*Chris Leblanc	AGE:22	PO:0	OV:39

Defense #1

Defense #2

Goalie

Francois Beauchemin	AGE:35	PO:0	OV:71
Andrej Sekera	AGE:29	PO:0	OV:68
Mike Green	AGE:29	PO:0	OV:68
Roman Polak	AGE:29	PO:0	OV:68
Jason Garrison	AGE:30	PO:0	OV:65
Andrew MacDonald	AGE:29	PO:0	OV:63
Mike Weber	AGE:27	PO:0	OV:60
Eric Gelinas	AGE:24	PO:0	OV:56
*Griffin Reinhart	AGE:21	PO:0	OV:56

Erik C. Gustafsson	AGE:23	PO:0	OV:55
Stuart Percy	AGE:22	PO:0	OV:55
*Morgan Ellis	AGE:23	PO:0	OV:52
*Johnathan MacLeod	AGE:19	PO:0	OV:46
*Adam Comrie	AGE:25	PO:0	OV:45
*Nelson Nogier	AGE:19	PO:0	OV:42
*Benjamin Gallacher	AGE:23	PO:0	OV:41
*Ryan Culkin	AGE:21	PO:0	OV:39

Steve Mason	AGE:27	PO:0	OV:79
Ray Emery	AGE:33	PO:0	OV:59
*Tristan Jarry	AGE:20	PO:0	OV:46
*Daniel Altshuller	AGE:21	PO:0	OV:45
*Chase Perry	AGE:19	PO:0	OV:40

Prospects

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Prospect	Team Name	Draft Year	Overall Pick
Andrei Mironov	Boston	2015	150
Jack Kopacka	Boston	2016	133
Jake DeBrusk	Boston	2015	25
Jeremy Lauzon	Boston	2015	85
Jonathan Ang	Boston	2016	103
Luke Kunin	Boston	2016	13
Nicolas Meloche	Boston	2015	55

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2017	Bos	Bos	Bos	Chi		Bos
2018	Bos	Bos	Bos	Bos	Bos	Bos	Bos
2019	Bos	Bos	Bos	Bos	Bos	Bos	Bos
2020	Bos	Bos	Bos	Bos	Bos	Bos	Bos
2021	Bos	Bos	Bos	Bos	Bos	Bos	Bos

[2016-09-29 07:29:57] - TRADE : From Boston to Las Vegas : Brad Hunt (54).
[2016-09-29 07:29:57] - TRADE : From Las Vegas to Boston : Y:2017-RND:7-Las.
[2017-01-08 12:00:12] - New Record for Team's Most Shots (51) in 1 Game for Boston!
[2017-01-18 20:00:13] - New Record for Team's Most Shots Blocked (20) in 1 Game for Boston!
[2017-01-25 20:07:54] - Dustin Brown was added to Boston.
[2017-01-25 20:07:55] - TRADE : From Kansas City to Boston : Dustin Brown (66).
[2017-01-25 20:07:55] - TRADE : From Boston to Kansas City : Y:2017-RND:7-Bos, Y:2017-RND:7-Las.
[2017-02-02 20:55:41] - Mike Green was added to Boston.
[2017-02-02 20:55:41] - TRADE : From Philadelphie to Boston : Mike Green (68).
[2017-02-02 20:55:41] - TRADE : From Boston to Philadelphie : Colin Wilson (64), Y:2017-RND:4-Bos.
[2017-02-07 20:12:30] - Derek MacKenzie was added to Boston.
[2017-02-07 20:12:30] - TRADE : From Edmonton to Boston : Derek MacKenzie (61).
[2017-02-07 20:12:30] - TRADE : From Boston to Edmonton : Y:2017-RND:5-Bos.
[2017-02-16 21:05:36] - Ray Emery was added to Boston.
[2017-02-16 21:05:37] - TRADE : From Boston to Las Vegas : Peter Budaj (52), Peter Quenneville (39).
[2017-02-16 21:05:37] - TRADE : From Las Vegas to Boston : Ray Emery (59).

Dustin Brown is suspended for 12 more games.

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
2016	82	41	28	0	1	1	6	5	279	221	58	41	19	18	0	0	0	3	1	124	110	14	41	22	10	0	1	1	3	4	155	111	44	82	279	484	763	0	6	111	78	83	11	2355	796	750	783	67	2209	654	1287	1585	442	77	17.42%	493	75	84.79%	3	1355	2814	48.15%	1383	2841	48.68%	644	1265	50.91%	1928	1296	2002	645	1048	516
Total Regular Season	82	41	28	0	1	1	6	5	279	221	58	41	19	18	0	0	0	3	1	124	110	14	41	22	10	0	1	1	3	4	155	111	44	82	279	484	763	0	6	111	78	83	11	2355	796	750	783	67	2209	654	1287	1585	442	77	17.42%	493	75	84.79%	3	1355	2814	48.15%	1383	2841	48.68%	644	1265	50.91%	1928	1296	2002	645	1048	516