Ligue de hockey Simulée Ste-Flanelle

Rocket
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	Jamie Benn (A)		X			100.00	66	56	77	83	73	81	94	83	83	82	84	72	47	54	45	0	88	75	0
2	Alexander Ovechkin (C)		X	X		100.00	78	35	79	80	86	81	94	80	48	68	92	61	55	68	57	0	79	74	0
3	Jason Spezza (A)	X		X		100.00	53	35	87	81	77	75	93	77	88	78	75	61	55	72	62	0	79	72	0
4	Jussi Jokinen		X	X		100.00	54	35	83	81	67	76	94	72	86	78	66	73	55	68	57	0	89	71	0
5	Brayden Schenn	X	X	X		100.00	71	56	85	81	67	75	95	73	80	73	73	63	50	52	46	0	90	70	0
6	Tyler Johnson	X		X		100.00	56	35	87	82	56	75	88	75	82	77	73	65	53	47	43	0	89	69	0
7	Tyler Bozak	X				100.00	59	43	85	76	67	77	78	73	87	75	71	64	46	54	45	0	62	68	0
8	Ales Hemsky			X		100.00	51	35	88	83	58	69	93	68	35	70	66	60	53	69	59	0	75	67	0
9	Daniel Winnik	X	X	X		100.00	55	43	84	68	71	72	93	63	83	63	63	80	48	63	53	0	74	67	0
10	Edward Purcell		X	X		100.00	53	35	89	76	67	75	93	70	35	71	68	63	53	54	47	0	55	67	0
11	Vernon Fiddler	X	X			100.00	54	50	85	72	70	64	95	58	84	52	63	75	53	68	59	0	89	65	0
12	Matt Calvert		X	X		100.00	62	56	80	73	63	72	80	61	35	56	66	75	50	49	43	0	86	64	0
13	T.J. Brodie				X	100.00	57	50	87	77	57	84	88	65	35	73	57	86	48	47	42	0	88	70	0
14	Kevin Klein				X	100.00	70	56	87	72	66	76	80	58	35	57	58	82	48	67	59	0	60	69	0
15	Kevin Shattenkirk				X	100.00	64	50	78	79	66	80	84	67	35	72	62	75	44	56	47	0	87	69	0
16	Alec Martinez				X	100.00	67	35	84	72	69	75	90	57	35	56	57	81	48	57	54	0	80	68	0
17	Jake Gardiner				X	100.00	65	43	85	73	64	77	94	57	45	61	53	67	48	48	41	0	80	65	0
18	Jonas Brodin				X	100.00	61	43	88	66	63	80	86	49	35	50	47	81	56	48	41	0	73	64	0
Scratches
1	Dominic Moore	X	X			100.00	52	35	85	71	64	67	95	55	89	52	58	73	53	71	61	0	25	63	0
2	Marcus Foligno		X	X		100.00	77	65	72	67	80	67	88	58	44	55	61	71	45	46	40	0	70	63	0
3	Justin Fontaine			X		100.00	48	35	87	74	51	62	64	58	35	59	56	71	45	47	38	0	35	59	0
4	Deryk Engelland				X	100.00	68	56	77	64	70	65	65	45	35	43	47	75	48	54	47	0	20	61	0

	TEAM AVERAGE					100.00	61	45	84	75	67	74	87	65	57	65	64	72	50	57	49	0	72	67

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	Pekka Rinne	100.00	85	99	97	84	81	82	82	77	81	74	88	62	55	0	88	79	0
2	Mike Condon (R)	100.00	63	45	92	73	62	58	59	60	56	65	87	35	32	0	89	59	0
Scratches

	TEAM AVERAGE	100.00	74	72	95	79	72	70	71	69	69	70	88	49	44	0	89	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ken Hitchcock	93	95	88	93	99	99	95	CAN	64	2	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	Jamie Benn	Montreal	LW	77	54	63	117	20	72	30	93	138	314	0	17.20%	4	1507	19.58	22	26	48	89	358	0	0	0	0	11	7	2	47.41%	135	0	0	2	1.55	3	3	3	0	3	11	9	6
2	Tyler Johnson	Montreal	C/RW	82	32	46	78	24	8	0	34	130	225	0	14.22%	10	1519	18.53	11	12	23	73	329	0	0	0	0	0	5	2	49.45%	1460	0	0	0	1.03	1	2	0	0	0	6	3	5
3	T.J. Brodie	Montreal	D	82	20	57	77	13	53	5	77	99	157	0	12.74%	124	1964	23.95	14	23	37	110	385	1	3	4	3	342	6	1	0.00%	0	0	0	0	0.78	0	0	0	1	0	5	5	5
4	Alexander Ovechkin	Montreal	LW/RW	79	42	33	75	23	112	0	249	73	238	0	17.65%	6	1616	20.46	14	12	26	77	372	0	0	0	1	64	6	3	35.61%	132	0	1	0	0.93	0	9	0	0	0	4	8	4
5	Kevin Shattenkirk	Montreal	D	80	13	62	75	13	113	5	160	84	111	0	11.71%	83	1985	24.82	6	23	29	74	373	1	1	2	2	302	5	0	0.00%	0	0	0	0	0.76	0	0	0	0	1	5	4	0
6	Jason Spezza	Montreal	C/RW	75	22	45	67	6	6	0	29	122	188	0	11.70%	3	1266	16.89	8	29	37	50	343	0	0	0	0	11	3	2	56.84%	1455	0	0	0	1.06	4	7	0	0	0	1	3	6
7	Brayden Schenn	Montreal	C/LW/RW	82	25	36	61	-4	99	35	148	100	205	0	12.20%	10	1361	16.61	11	14	25	68	328	1	0	1	3	75	5	0	53.61%	720	0	0	1	0.90	0	0	2	2	3	4	3	2
8	Edward Purcell	Montreal	LW/RW	80	25	36	61	-17	10	0	36	95	202	0	12.38%	9	1466	18.33	11	12	23	66	334	0	0	0	2	80	1	1	28.17%	142	0	0	0	0.83	0	3	0	0	0	2	5	2
9	Tyler Bozak	Montreal	C	78	17	31	48	-20	42	10	80	163	199	0	8.54%	5	1356	17.39	4	18	22	58	346	0	0	0	7	107	1	1	51.83%	1555	0	0	0	0.71	1	3	1	0	1	3	0	2
10	Jussi Jokinen	Montreal	LW/RW	82	12	33	45	1	28	0	74	111	161	0	7.45%	16	1438	17.54	2	11	13	34	236	4	1	5	14	406	1	1	59.67%	181	0	0	0	0.63	0	6	0	0	0	1	2	4
11	Ales Hemsky	Montreal	RW	82	14	20	34	-5	8	0	26	96	111	0	12.61%	5	1096	13.37	2	7	9	14	127	0	0	0	0	10	1	1	29.17%	72	0	0	0	0.62	2	4	0	0	0	0	2	3
12	Alec Martinez	Montreal	D	83	4	29	33	-2	56	0	122	50	86	0	4.65%	102	1720	20.73	3	14	17	52	334	0	0	0	3	281	1	0	0.00%	0	0	0	0	0.38	0	0	0	0	0	0	1	0
13	Kevin Klein	Montreal	D	77	5	28	33	-15	140	30	105	60	89	0	5.62%	84	1592	20.68	3	11	14	41	237	0	0	0	2	247	0	0	0.00%	0	0	0	0	0.41	0	0	2	1	3	1	1	1
14	Daniel Winnik	Montreal	C/LW/RW	81	12	18	30	-5	14	0	33	161	142	0	8.45%	20	1374	16.97	3	4	7	38	194	0	1	1	5	374	0	1	52.49%	1669	0	0	0	0.44	0	0	0	0	0	0	4	1
15	Jonas Brodin	Montreal	D	82	6	16	22	5	54	0	85	60	69	0	8.70%	100	1745	21.29	0	2	2	20	172	1	3	4	4	332	1	1	0.00%	0	0	0	0	0.25	1	3	0	0	0	1	2	1
16	Vernon Fiddler	Montreal	C/LW	82	11	10	21	3	15	5	50	142	69	0	15.94%	16	1041	12.71	0	0	0	0	0	0	2	2	4	362	2	1	54.84%	1260	0	0	0	0.40	1	1	0	0	1	1	2	4
17	Matt Calvert	Montreal	LW/RW	82	10	9	19	11	96	30	45	56	65	0	15.38%	18	908	11.08	0	0	0	1	12	1	1	2	2	184	1	0	30.17%	179	0	0	0	0.42	0	0	2	1	3	1	0	0
18	Jake Gardiner	Montreal	D	80	5	13	18	10	60	0	75	39	37	0	13.51%	55	1325	16.57	0	3	3	10	107	0	1	1	0	123	0	0	0.00%	0	0	0	0	0.27	0	0	0	0	0	0	2	0
19	Dominic Moore	Montreal	C/LW	58	3	13	16	3	8	0	9	80	62	0	4.84%	16	702	12.11	0	0	0	0	0	1	1	2	6	238	0	1	55.23%	784	0	0	0	0.46	1	2	0	0	0	0	1	0
20	Marcus Foligno	Montreal	LW/RW	68	3	4	7	1	70	20	80	29	54	0	5.56%	4	608	8.94	0	0	0	0	3	0	1	1	1	164	2	0	46.51%	43	0	0	0	0.23	0	0	0	1	3	0	0	1
21	Justin Fontaine	Montreal	RW	46	1	4	5	-4	2	0	0	21	35	0	2.86%	3	306	6.66	0	0	0	0	0	0	0	0	0	0	0	0	25.64%	39	0	1	0	0.33	0	0	0	0	0	0	0	0
22	Deryk Engelland	Montreal	D	29	0	3	3	-1	33	15	43	13	4	0	0.00%	21	466	16.10	0	0	0	0	8	0	1	1	0	90	0	0	0.00%	0	0	0	0	0.13	0	0	0	1	2	0	0	0
Team Total or Average			1647	336	609	945	60	1099	185	1653	1922	2823	0	11.90%	714	28372	17.23	114	221	335	875	4608	10	16	26	59	3813	48	18	51.95%	9826	0	2	3	0.67	14	43	10	7	20	46	57	47

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	Pekka Rinne	Montreal	65	45	15	5	0.903	2.51	3940	8	2	165	1693	0	2	0	0.667	18	65	16	5	5	3
2	Mike Condon	Montreal	17	9	7	1	0.869	3.43	1033	0	0	59	449	0	0	1	0.727	11	17	65	0	0	2
Team Total or Average		82	54	22	6	0.895	2.70	4973	8	2	224	2142	0	2	1	0.690	29	82	81	5	5	5

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
Alec Martinez	Montreal	D	28	1987-07-26	No	210 Lbs	6 ft1	No	No	2	RFA	Pro & Farm	1,650,000$	1,650,000$				Link
Ales Hemsky	Montreal	RW	32	1983-08-13	No	185 Lbs	6 ft0	No	No	2	UFA	Pro & Farm	3,000,000$	2,500,000$				Link
Alexander Ovechkin	Montreal	LW/RW	30	1985-09-17	No	239 Lbs	6 ft3	No	No	1	UFA	Pro & Farm	8,000,000$					Link
Brayden Schenn	Montreal	C/LW/RW	24	1991-08-22	No	195 Lbs	6 ft1	No	No	2	RFA	Pro & Farm	1,750,000$	2,000,000$				Link
Daniel Winnik	Montreal	C/LW/RW	30	1985-03-06	No	203 Lbs	6 ft2	No	No	2	UFA	Pro & Farm	2,700,000$	2,800,000$				Link
Deryk Engelland	Montreal	D	33	1982-04-03	No	214 Lbs	6 ft2	No	No	3	UFA	Pro & Farm	700,000$	700,000$	700,000$			Link
Dominic Moore	Montreal	C/LW	35	1980-08-03	No	192 Lbs	6 ft0	No	No	1	UFA	Pro & Farm	750,000$					Link
Edward Purcell	Montreal	LW/RW	30	1985-09-08	No	195 Lbs	6 ft2	No	No	4	UFA	Pro & Farm	3,125,000$	3,250,000$	3,125,000$	3,000,000$		Link
Jake Gardiner	Montreal	D	25	1990-07-04	No	197 Lbs	6 ft2	No	No	5	RFA	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	Link
Jamie Benn	Montreal	LW	26	1989-07-18	No	210 Lbs	6 ft2	No	No	2	RFA	Pro & Farm	4,400,000$	4,400,000$				Link
Jason Spezza	Montreal	C/RW	32	1983-06-13	No	220 Lbs	6 ft3	No	No	4	UFA	Pro & Farm	6,000,000$	5,500,000$	4,000,000$	3,000,000$		Link
Jonas Brodin	Montreal	D	22	1993-07-12	No	195 Lbs	6 ft1	No	No	1	RFA	Pro & Farm	925,000$					Link
Jussi Jokinen	Montreal	LW/RW	32	1983-04-01	No	198 Lbs	5 ft11	No	No	4	UFA	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$		Link
Justin Fontaine	Montreal	RW	27	1987-11-06	No	174 Lbs	5 ft10	No	No	2	RFA	Pro & Farm	600,000$	600,000$				Link
Kevin Klein	Montreal	D	30	1984-12-13	No	202 Lbs	6 ft1	No	No	1	UFA	Pro & Farm	1,500,000$					Link
Kevin Shattenkirk	Montreal	D	26	1989-01-29	No	202 Lbs	6 ft0	No	No	2	RFA	Pro & Farm	3,500,000$	3,500,000$				Link
Marcus Foligno	Montreal	LW/RW	24	1991-08-10	No	226 Lbs	6 ft3	No	No	4	RFA	Pro & Farm	1,200,000$	1,450,000$	1,500,000$	1,750,000$		Link
Matt Calvert	Montreal	LW/RW	25	1989-12-24	No	192 Lbs	5 ft11	No	No	3	RFA	Pro & Farm	1,400,000$	1,600,000$	1,800,000$			Link
Mike Condon	Montreal	G	25	1990-04-27	Yes	197 Lbs	6 ft2	No	No	4	RFA	Pro & Farm	575,000$	575,000$	575,000$	575,000$		Link
Pekka Rinne	Montreal	G	32	1982-11-03	No	217 Lbs	6 ft5	No	No	2	UFA	Pro & Farm	4,600,000$	4,600,000$				Link
T.J. Brodie	Montreal	D	25	1990-06-07	No	182 Lbs	6 ft1	No	No	3	RFA	Pro & Farm	2,600,000$	2,600,000$	2,600,000$			Link
Tyler Bozak	Montreal	C	29	1986-03-19	No	196 Lbs	6 ft1	No	No	2	RFA	Pro & Farm	2,300,000$	2,750,000$				Link
Tyler Johnson	Montreal	C/RW	25	1990-07-29	No	185 Lbs	5 ft8	No	No	1	RFA	Pro & Farm	740,000$					Link
Vernon Fiddler	Montreal	C/LW	35	1980-05-09	No	205 Lbs	5 ft11	No	No	3	UFA	Pro & Farm	2,400,001$	2,400,001$	2,400,001$			Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	28.42	201 Lbs	6 ft1	2.50	2,558,958$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
61,415,001$	49,875,001$	23,700,001$	15,325,000$	3,500,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jamie Benn	Tyler Johnson	Alexander Ovechkin	35	1	1	3
2	Edward Purcell	Tyler Bozak	Jason Spezza	30	1	1	3
3	Brayden Schenn	Daniel Winnik	Jussi Jokinen	25	1	2	2
4	Matt Calvert	Vernon Fiddler	Ales Hemsky	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Shattenkirk	Jake Gardiner	33	1	2	2
2	T.J. Brodie	Alec Martinez	33	1	2	2
3	Kevin Klein	Jonas Brodin	33	1	2	2
4	T.J. Brodie	Kevin Shattenkirk	1	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jamie Benn	Jason Spezza	Alexander Ovechkin	60	1	0	4
2	Brayden Schenn	Tyler Bozak	Tyler Johnson	40	1	0	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	T.J. Brodie	Kevin Shattenkirk	60	1	1	3
2	Jake Gardiner	Alec Martinez	40	1	1	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Daniel Winnik	Matt Calvert	60	1	3	1
2	Vernon Fiddler	Jussi Jokinen	40	1	3	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	T.J. Brodie	Kevin Klein	60	1	3	1
2	Jonas Brodin	Alec Martinez	40	1	3	1

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Daniel Winnik	60	1	3	1	T.J. Brodie	Kevin Klein	60	1	3	1
2	Jussi Jokinen	40	1	3	1	Jonas Brodin	Alec Martinez	40	1	3	1

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jason Spezza	Jamie Benn	60	1	1	3
2	Brayden Schenn	Alexander Ovechkin	40	1	1	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	T.J. Brodie	Kevin Shattenkirk	60	1	2	2
2	Kevin Klein	Alec Martinez	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jamie Benn	Jason Spezza	Alexander Ovechkin	T.J. Brodie	Kevin Shattenkirk

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jamie Benn	Daniel Winnik	Jussi Jokinen	T.J. Brodie	Kevin Klein

Extra Forwards
Normal	PowerPlay	Penalty Kill
Tyler Bozak, Daniel Winnik, Ales Hemsky	Tyler Bozak, Daniel Winnik	Ales Hemsky

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jake Gardiner, Jonas Brodin, Kevin Shattenkirk	Kevin Klein	Kevin Shattenkirk, Jake Gardiner

Penalty Shots
Jussi Jokinen, Alexander Ovechkin, Jason Spezza, Jamie Benn, Brayden Schenn

Goalie
#1 : Pekka Rinne, #2 : Mike Condon

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
Anaheim	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	10	16	0	0	1	3	2	0	38	9	13	16	0	49	12	26	33	11	3	27.27%	10	1	90.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	46	30	47	16	26	13
Atlanta	3	1	0	0	2	0	0	0	9	6	3	1	1	0	0	0	0	0	0	3	2	1	2	0	0	0	2	0	0	0	6	4	2	6	1.000	9	15	24	0	0	5	1	1	2	102	39	26	35	2	83	20	22	65	21	2	9.52%	10	1	90.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	77	54	66	22	38	19
Boston	4	1	2	0	0	0	0	1	14	18	-4	2	0	1	0	0	0	0	1	6	11	-5	2	1	1	0	0	0	0	0	8	7	1	3	0.375	14	27	41	0	0	4	5	5	0	126	41	39	46	3	115	37	48	70	24	7	29.17%	24	6	75.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	102	71	91	29	50	26
Buffalo	4	3	1	0	0	0	0	0	15	13	2	2	2	0	0	0	0	0	0	10	7	3	2	1	1	0	0	0	0	0	5	6	-1	6	0.750	15	28	43	0	0	6	7	2	0	108	37	35	36	0	82	22	45	90	15	3	20.00%	17	3	82.35%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	105	73	81	28	52	26
Calgary	2	2	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	16	26	0	0	3	3	4	0	55	15	23	17	0	63	14	24	40	10	3	30.00%	11	1	90.91%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	47	33	47	13	25	13
Philadelphie	3	0	3	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	5	10	15	0	0	2	1	2	0	73	28	21	24	0	76	22	36	54	18	2	11.11%	15	4	73.33%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	68	46	71	23	39	19
Chicago	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	4	7	11	0	0	0	2	2	0	48	7	11	30	0	50	18	27	32	9	2	22.22%	11	4	63.64%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	46	32	47	15	25	11
Colorado	2	0	0	0	1	1	0	0	6	6	0	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	1	0	0	0	4	3	1	3	0.750	6	12	18	0	0	1	2	2	1	68	18	16	29	5	60	15	14	33	11	4	36.36%	7	2	71.43%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	50	34	47	14	26	13
Kansas City	2	0	1	0	0	0	1	0	4	4	0	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	6	10	0	0	0	1	2	2	47	18	13	15	8	62	19	34	54	8	0	0.00%	12	3	75.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	52	37	46	15	25	12
Detroit	5	2	1	0	0	0	2	0	15	11	4	2	0	0	0	0	0	2	0	7	5	2	3	2	1	0	0	0	0	0	8	6	2	8	0.800	15	22	37	0	0	3	5	5	3	159	49	53	51	13	139	55	71	84	33	8	24.24%	27	3	88.89%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	119	82	126	39	64	31
Edmonton	2	1	0	0	1	0	0	0	10	3	7	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	7	1	6	4	1.000	10	20	30	0	0	5	1	3	1	61	24	21	15	1	43	6	12	34	12	2	16.67%	6	1	83.33%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	51	35	42	15	27	14
Islanders	3	0	2	0	0	0	0	1	9	13	-4	1	0	0	0	0	0	0	1	4	5	-1	2	0	2	0	0	0	0	0	5	8	-3	1	0.167	9	16	25	0	0	5	1	3	0	98	28	41	28	3	94	31	43	62	13	3	23.08%	18	3	83.33%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	75	51	71	22	38	19
LA Kings	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	2	0	2	4	1.000	8	15	23	0	1	2	3	3	0	52	19	18	15	0	72	13	27	42	9	1	11.11%	11	0	100.00%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	44	28	51	14	24	12
Minnesota	2	0	1	0	0	0	0	1	5	8	-3	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0.250	5	10	15	0	0	2	1	2	0	46	14	20	9	6	51	19	32	31	5	1	20.00%	16	2	87.50%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	46	29	52	16	25	12
Hartford	3	2	1	0	0	0	0	0	14	10	4	1	1	0	0	0	0	0	0	5	4	1	2	1	1	0	0	0	0	0	9	6	3	4	0.667	14	26	40	0	1	8	3	3	0	75	36	15	24	0	86	29	38	65	18	4	22.22%	19	3	84.21%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	67	44	74	23	38	19
Ottawa	5	3	0	0	2	0	0	0	19	9	10	3	3	0	0	0	0	0	0	12	4	8	2	0	0	0	2	0	0	0	7	5	2	10	1.000	19	34	53	0	0	3	6	8	2	142	50	41	49	2	127	37	73	92	27	6	22.22%	28	2	92.86%	2	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	127	88	112	37	63	31
Pittsburgh	3	2	0	0	0	0	1	0	11	6	5	2	2	0	0	0	0	0	0	7	3	4	1	0	0	0	0	0	1	0	4	3	1	6	1.000	11	19	30	0	0	5	2	3	2	79	31	20	26	5	70	26	49	58	16	5	31.25%	12	1	91.67%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	74	51	72	23	38	19
Rangers	3	2	0	0	1	0	0	0	13	6	7	1	1	0	0	0	0	0	0	6	1	5	2	1	0	0	1	0	0	0	7	5	2	6	1.000	13	23	36	0	0	6	3	3	1	117	41	38	37	1	78	30	53	63	22	4	18.18%	16	2	87.50%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	79	55	63	22	38	20
San Jose	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	6	3	3	2	0.500	7	14	21	0	0	4	2	1	0	55	22	17	16	0	62	16	35	34	11	2	18.18%	15	0	100.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	46	31	47	14	25	12
St-Louis	2	1	0	0	0	0	0	1	9	8	1	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	0	0	1	5	6	-1	3	0.750	9	17	26	0	0	5	3	1	1	46	20	15	8	6	53	23	29	40	13	2	15.38%	12	1	91.67%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	45	29	53	17	26	12
Tampa Bay	4	1	3	0	0	0	0	0	11	14	-3	2	1	1	0	0	0	0	0	7	7	0	2	0	2	0	0	0	0	0	4	7	-3	2	0.250	11	22	33	0	0	2	3	6	0	102	34	32	36	0	106	39	49	82	22	2	9.09%	21	5	76.19%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	100	68	89	31	49	25
Toronto	4	4	0	0	0	0	0	0	12	4	8	2	2	0	0	0	0	0	0	7	2	5	2	2	0	0	0	0	0	0	5	2	3	8	1.000	12	23	35	0	0	3	4	5	0	106	29	37	40	0	78	17	60	70	25	3	12.00%	24	1	95.83%	1	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	108	75	80	30	51	27
Vancouver	2	2	0	0	0	0	0	0	12	2	10	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	5	1	4	4	1.000	12	23	35	0	0	6	5	1	0	72	26	34	12	0	35	11	12	35	17	7	41.18%	6	0	100.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	54	39	39	14	25	13
Quebec	4	3	0	0	0	1	0	0	21	15	6	2	1	0	0	0	1	0	0	13	10	3	2	2	0	0	0	0	0	0	8	5	3	7	0.875	21	37	58	0	0	7	11	3	0	119	40	39	40	0	93	29	86	84	23	7	30.43%	27	6	77.78%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	101	71	89	28	49	25
Winnipeg	2	2	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	8	1	7	4	1.000	11	18	29	0	0	4	3	4	0	65	16	22	27	0	59	17	18	41	11	4	36.36%	9	1	88.89%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	51	35	44	14	23	12
Nashville	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	6	9	0	0	0	3	0	0	54	18	19	17	0	60	17	34	37	12	2	16.67%	11	1	90.91%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	49	33	46	14	24	12
Washington	3	3	0	0	0	0	0	0	16	11	5	2	2	0	0	0	0	0	0	11	8	3	1	1	0	0	0	0	0	0	5	3	2	6	1.000	16	31	47	0	0	5	4	7	0	96	33	37	26	0	79	27	29	54	23	6	26.09%	12	2	83.33%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	79	55	63	22	37	20
Caroline	3	1	2	0	0	0	0	0	6	8	-2	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	6	12	18	1	0	4	2	0	0	89	23	33	33	0	64	23	28	50	20	2	10.00%	14	2	85.71%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	77	52	63	23	39	21
Las Vegas	2	1	0	0	0	0	1	0	11	8	3	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	0	1	0	6	5	1	4	1.000	11	19	30	0	0	3	5	2	2	77	18	31	25	6	54	5	25	40	12	5	41.67%	10	2	80.00%	0	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	59	41	39	13	26	14
Vs Division	30	17	7	0	2	1	2	1	107	84	23	15	9	2	0	0	1	2	1	62	46	16	15	8	5	0	2	0	0	0	45	38	7	44	0.733	107	193	300	0	0	28	41	34	5	862	280	276	298	18	740	236	432	572	169	36	21.30%	168	26	84.52%	4	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	765	530	672	225	380	193
Vs Conference	54	28	15	0	5	1	3	2	190	156	34	27	17	5	0	0	1	2	2	107	82	25	27	11	10	0	5	0	1	0	83	74	9	75	0.694	190	345	535	1	1	68	58	56	10	1591	539	507	531	29	1370	444	730	1043	320	64	20.00%	284	44	84.51%	6	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	1365	941	1217	410	688	354
Since Last GM Reset	82	42	22	0	7	2	5	4	296	229	67	41	24	8	0	1	2	3	3	156	116	40	41	18	14	0	6	0	2	1	140	113	27	114	0.695	296	538	834	1	2	104	95	85	17	2375	783	780	782	61	2143	649	1079	1569	471	102	21.66%	431	63	85.38%	8	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	2059	1415	1871	622	1048	537
Total	82	42	22	0	7	2	5	4	296	229	67	41	24	8	0	1	2	3	3	156	116	40	41	18	14	0	6	0	2	1	140	113	27	114	0.695	296	538	834	1	2	104	95	85	17	2375	783	780	782	61	2143	649	1079	1569	471	102	21.66%	431	63	85.38%	8	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	2059	1415	1871	622	1048	537

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	114	W1	296	538	834	2375	2143	649	1079	1569	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	42	22	7	2	5	4	296	229

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	24	8	1	2	3	3	156	116

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	14	6	0	2	1	140	113

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	4	0	1	2	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
471	102	21.66%	431	63	85.38%	8

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
783	780	782	61	104	95	85	17

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2059	1415	1871	622	1048	537

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	10	Montreal	4	Buffalo	3	W			BoxScore
4 - 2016-10-15	19	Montreal	5	Ottawa	4	W	X		BoxScore
7 - 2016-10-18	41	Pittsburgh	1	Montreal	4	W			BoxScore
9 - 2016-10-20	54	Nashville	4	Montreal	2	L			BoxScore
11 - 2016-10-22	74	Montreal	1	Boston	2	L			BoxScore
13 - 2016-10-24	81	Philadelphie	6	Montreal	3	L			BoxScore
15 - 2016-10-26	97	Montreal	4	Islanders	5	L			BoxScore
16 - 2016-10-27	102	Tampa Bay	4	Montreal	5	W			BoxScore
18 - 2016-10-29	122	Toronto	1	Montreal	2	W			BoxScore
22 - 2016-11-02	143	Vancouver	1	Montreal	7	W			BoxScore
24 - 2016-11-04	159	Montreal	4	Atlanta	3	W	X		BoxScore
25 - 2016-11-05	164	Philadelphie	3	Montreal	2	L			BoxScore
28 - 2016-11-08	189	Boston	6	Montreal	2	L			BoxScore
30 - 2016-11-10	196	LA Kings	3	Montreal	6	W			BoxScore
32 - 2016-11-12	216	Detroit	1	Montreal	2	W	X	X	BoxScore
33 - 2016-11-13	226	Montreal	2	Chicago	5	L			BoxScore
35 - 2016-11-15	241	Quebec	3	Montreal	7	W			BoxScore
38 - 2016-11-18	258	Montreal	2	Caroline	4	L			BoxScore
39 - 2016-11-19	269	Toronto	1	Montreal	5	W			BoxScore
42 - 2016-11-22	287	Ottawa	1	Montreal	4	W			BoxScore
44 - 2016-11-24	300	Caroline	1	Montreal	3	W			BoxScore
46 - 2016-11-26	315	Montreal	2	Detroit	3	L			BoxScore
49 - 2016-11-29	340	Montreal	3	Anaheim	2	W			BoxScore
52 - 2016-12-02	358	Montreal	6	San Jose	3	W			BoxScore
54 - 2016-12-04	377	Montreal	2	LA Kings	0	W			BoxScore
56 - 2016-12-06	384	Montreal	5	St-Louis	6	L	X	X	BoxScore
58 - 2016-12-08	398	Hartford	4	Montreal	5	W			BoxScore
60 - 2016-12-10	420	Colorado	3	Montreal	2	L	X		BoxScore
62 - 2016-12-12	430	Boston	5	Montreal	4	L	X	X	BoxScore
66 - 2016-12-16	454	San Jose	3	Montreal	1	L			BoxScore
67 - 2016-12-17	465	Montreal	5	Washington	3	W			BoxScore
70 - 2016-12-20	485	Anaheim	1	Montreal	3	W			BoxScore
72 - 2016-12-22	498	Minnesota	3	Montreal	2	L	X	X	BoxScore
73 - 2016-12-23	513	Montreal	2	Atlanta	1	W	X		BoxScore
78 - 2016-12-28	529	Montreal	1	Tampa Bay	3	L			BoxScore
79 - 2016-12-29	536	Montreal	3	Quebec	2	W			BoxScore
81 - 2016-12-31	556	Montreal	4	Pittsburgh	3	W	X	X	BoxScore
84 - 2017-01-03	570	Montreal	6	Las Vegas	5	W	X	X	BoxScore
85 - 2017-01-04	577	Montreal	1	Kansas City	2	L			BoxScore
88 - 2017-01-07	591	Montreal	3	Toronto	1	W			BoxScore
90 - 2017-01-09	610	Washington	3	Montreal	4	W			BoxScore
92 - 2017-01-11	621	Montreal	8	Winnipeg	1	W			BoxScore
93 - 2017-01-12	628	Montreal	3	Minnesota	5	L			BoxScore
95 - 2017-01-14	642	Rangers	1	Montreal	6	W			BoxScore
97 - 2017-01-16	658	Montreal	3	Detroit	1	W			BoxScore
99 - 2017-01-18	672	Pittsburgh	2	Montreal	3	W			BoxScore
101 - 2017-01-20	688	Montreal	4	Hartford	6	L			BoxScore
102 - 2017-01-21	693	Buffalo	3	Montreal	4	W			BoxScore
105 - 2017-01-24	718	Calgary	3	Montreal	6	W			BoxScore
107 - 2017-01-26	740	Montreal	1	Islanders	3	L			BoxScore
112 - 2017-01-31	750	Buffalo	4	Montreal	6	W			BoxScore
114 - 2017-02-02	759	Montreal	0	Philadelphie	3	L			BoxScore
116 - 2017-02-04	771	Washington	5	Montreal	7	W			BoxScore
117 - 2017-02-05	785	Edmonton	2	Montreal	3	W	X		BoxScore
119 - 2017-02-07	800	Montreal	4	Colorado	3	W	X		BoxScore
121 - 2017-02-09	805	Montreal	1	Nashville	3	L			BoxScore
123 - 2017-02-11	822	St-Louis	2	Montreal	4	W			BoxScore
124 - 2017-02-12	832	Montreal	7	Boston	5	W			BoxScore
130 - 2017-02-18	858	Winnipeg	1	Montreal	3	W			BoxScore
133 - 2017-02-21	883	Montreal	5	Rangers	4	W	X		BoxScore
135 - 2017-02-23	895	Islanders	5	Montreal	4	L	X	X	BoxScore
137 - 2017-02-25	908	Montreal	2	Toronto	1	W			BoxScore
139 - 2017-02-27	919	Montreal	5	Hartford	0	W			BoxScore
140 - 2017-02-28	929	Atlanta	2	Montreal	3	W			BoxScore
142 - 2017-03-02	941	Las Vegas	3	Montreal	5	W			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
144 - 2017-03-04	956	Montreal	2	Rangers	1	W			BoxScore
147 - 2017-03-07	980	Montreal	5	Vancouver	1	W			BoxScore
149 - 2017-03-09	986	Montreal	4	Calgary	2	W			BoxScore
152 - 2017-03-12	1013	Montreal	7	Edmonton	1	W			BoxScore
154 - 2017-03-14	1032	Chicago	3	Montreal	2	L			BoxScore
158 - 2017-03-18	1056	Montreal	2	Ottawa	1	W	X		BoxScore
159 - 2017-03-19	1064	Ottawa	1	Montreal	4	W			BoxScore
161 - 2017-03-21	1079	Detroit	4	Montreal	5	W	X	X	BoxScore
163 - 2017-03-23	1092	Caroline	3	Montreal	1	L			BoxScore
165 - 2017-03-25	1107	Ottawa	2	Montreal	4	W			BoxScore
168 - 2017-03-28	1132	Kansas City	2	Montreal	3	W	X	X	BoxScore
170 - 2017-03-30	1149	Quebec	7	Montreal	6	L	X		BoxScore
172 - 2017-04-01	1160	Montreal	3	Tampa Bay	4	L			BoxScore
174 - 2017-04-03	1178	Montreal	5	Quebec	3	W			BoxScore
176 - 2017-04-05	1192	Montreal	1	Buffalo	3	L			BoxScore
178 - 2017-04-07	1206	Tampa Bay	3	Montreal	2	L			BoxScore
179 - 2017-04-08	1212	Montreal	3	Detroit	2	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	150	86	72	41	385
Attendance	193213	152641	63861	128595	31558
Attendance PCT	78.54%	74.46%	77.88%	78.41%	76.97%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	13899 - 77.22%	1,571,844$	64,445,584$	18000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
61,415,001$	58,015,001$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
57,438,298$	339,309$	56,935,564$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	342,072$	0$

Team Total Estime
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	59,982,688$	120,510,704$	120,510,704$

Depth Chart

Left Wing

Center

Right Wing

Jamie Benn	AGE:26	PO:0	OV:75
Alexander Ovechkin	AGE:30	PO:0	OV:74
Jussi Jokinen	AGE:32	PO:0	OV:71
Brayden Schenn	AGE:24	PO:0	OV:70
Daniel Winnik	AGE:30	PO:0	OV:67
Edward Purcell	AGE:30	PO:0	OV:67
Vernon Fiddler	AGE:35	PO:0	OV:65
Matt Calvert	AGE:25	PO:0	OV:64
Dominic Moore	AGE:35	PO:0	OV:63
Marcus Foligno	AGE:24	PO:0	OV:63
Michael Santorelli	AGE:29	PO:0	OV:61
*Brian Hart	AGE:21	PO:0	OV:46
*Ludvig Rensfeldt	AGE:23	PO:0	OV:45
*Mattias Lindstrom	AGE:24	PO:0	OV:44
*Alexander Delnov	AGE:21	PO:0	OV:42
*Andrew Yogan	AGE:23	PO:0	OV:42
*Rob Flick	AGE:24	PO:0	OV:42
*Julien Pelletier	AGE:19	PO:0	OV:41
*Christopher Clapperton	AGE:21	PO:0	OV:39

Jason Spezza	AGE:32	PO:0	OV:72
Brayden Schenn	AGE:24	PO:0	OV:70
Tyler Johnson	AGE:25	PO:0	OV:69
Tyler Bozak	AGE:29	PO:0	OV:68
Daniel Winnik	AGE:30	PO:0	OV:67
Vernon Fiddler	AGE:35	PO:0	OV:65
Dominic Moore	AGE:35	PO:0	OV:63
Michael Santorelli	AGE:29	PO:0	OV:61
*Mike Winther	AGE:21	PO:0	OV:45
*Dominic Turgeon	AGE:19	PO:0	OV:44
*Louis-Marc Aubry	AGE:23	PO:0	OV:44
*Andrew Yogan	AGE:23	PO:0	OV:42
*Joseph Labate	AGE:22	PO:0	OV:42
*Rob Flick	AGE:24	PO:0	OV:42
*Joachim Nermark	AGE:22	PO:0	OV:41
Bill Arnold	AGE:23	PO:0	OV:39

Alexander Ovechkin	AGE:30	PO:0	OV:74
Jason Spezza	AGE:32	PO:0	OV:72
Jussi Jokinen	AGE:32	PO:0	OV:71
Brayden Schenn	AGE:24	PO:0	OV:70
Tyler Johnson	AGE:25	PO:0	OV:69
Ales Hemsky	AGE:32	PO:0	OV:67
Daniel Winnik	AGE:30	PO:0	OV:67
Edward Purcell	AGE:30	PO:0	OV:67
Matt Calvert	AGE:25	PO:0	OV:64
Marcus Foligno	AGE:24	PO:0	OV:63
David Jones	AGE:31	PO:0	OV:61
Michael Santorelli	AGE:29	PO:0	OV:61
Justin Fontaine	AGE:27	PO:0	OV:59
Mike Sislo	AGE:27	PO:0	OV:55
*Brian Hart	AGE:21	PO:0	OV:46
*Zach O'Brien	AGE:23	PO:0	OV:45
*Max Gaede	AGE:23	PO:0	OV:44
*Markus Soberg	AGE:20	PO:0	OV:39

Defense #1

Defense #2

Goalie

T.J. Brodie	AGE:25	PO:0	OV:70
Kevin Klein	AGE:30	PO:0	OV:69
Kevin Shattenkirk	AGE:26	PO:0	OV:69
Alec Martinez	AGE:28	PO:0	OV:68
Jake Gardiner	AGE:25	PO:0	OV:65
Jonas Brodin	AGE:22	PO:0	OV:64
Deryk Engelland	AGE:33	PO:0	OV:61
James Wisniewski	AGE:31	PO:0	OV:60
Brian Lashoff	AGE:25	PO:0	OV:56
*Julian Melchiori	AGE:23	PO:0	OV:52
*Taylor Doherty	AGE:24	PO:0	OV:47

*Keegan Kanzig	AGE:20	PO:0	OV:46
*Dalton Thrower	AGE:21	PO:0	OV:45
*Guillaume Gelinas	AGE:22	PO:0	OV:45
*Alexander Peters	AGE:19	PO:0	OV:44
*Alex Theriau	AGE:23	PO:0	OV:42
*Andrew O'Brien	AGE:22	PO:0	OV:42
*Michael Downing	AGE:20	PO:0	OV:42
*Rhett Holland	AGE:22	PO:0	OV:42
*Timothy Boyle	AGE:22	PO:0	OV:41
*Eric Roy	AGE:20	PO:0	OV:39

Pekka Rinne	AGE:32	PO:0	OV:79
*Mike Condon	AGE:25	PO:0	OV:59
Joni Ortio	AGE:24	PO:0	OV:51
Tyler Bunz	AGE:23	PO:0	OV:47
*Olivier Roy	AGE:24	PO:0	OV:40
*Fredrik Pettersson-Wentzel	AGE:24	PO:0	OV:39

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
Auguste Impose	Montreal	2015	157
Brandon Duhaime	Montreal	2016	167
Fredrik Karlstrom	Montreal	2016	170
Luke Green	Montreal	2016	112
Nolan Stevens	Montreal	2016	180

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2018	Mon			Was	Tor	Ana Mon	Det [CON: Har]
2019	Mon	Mon	Mon	Mon	Mon	Mon	Atl
2020	Mon	Mon	Mon	Mon	Mon	Mon	Mon
2021	Mon	Mon	Mon	Mon	Mon	Mon	Mon

[2016-09-11 15:34:27] - Mike Condon was added to Montreal.
[2016-09-16 21:12:20] - David Jones was added to Montreal.
[2016-09-20 19:49:36] - Justin Fontaine was added to Montreal.
[2016-09-20 19:49:37] - TRADE : From Montreal to Seattle : Viktor Stalberg (60).
[2016-09-20 19:49:37] - TRADE : From Seattle to Montreal : Justin Fontaine (59).
[2016-10-26 20:00:16] - Unknown Player is no longer as assistant for Montreal.
[2016-10-26 20:00:16] - Jason Spezza has been selected as assistant for Montreal.
[2016-11-22 06:22:31] - TRADE : From Montreal to Kansas City : 1 $ (Money).
[2016-11-26 08:15:07] - James Wisniewski was added to Montreal.
[2016-11-26 08:15:09] - TRADE : From Kansas City to Montreal : James Wisniewski (61).
[2016-11-26 08:15:09] - TRADE : From Montreal to Kansas City : 1 $ (Money).
[2017-01-12 22:24:32] - Montreal show interest in Tomas Fleischmann from waiver.
[2017-01-13 20:00:22] - Montreal claimed Tomas Fleischmann from waivers by Kansas City for 0 $.
[2017-01-13 20:00:22] - Tomas Fleischmann was added to Montreal.
[2017-01-14 00:27:01] - Montreal paid 2 688 482 $ to release Tomas Fleischmann.
[2017-01-14 00:27:01] - Tomas Fleischmann was released.
[2017-01-17 21:50:42] - Jori Lehtera was added to Montreal.
[2017-01-17 21:50:42] - TRADE : From Montreal to Nashville : Christopher Wagner (39).
[2017-01-17 21:50:42] - TRADE : From Nashville to Montreal : Jori Lehtera (64).
[2017-01-17 21:51:35] - Matt Read was added to Montreal.
[2017-01-17 21:51:36] - TRADE : From Montreal to Washington : Sean Day (P), Y:2017-RND:7-LA .
[2017-01-17 21:51:36] - TRADE : From Washington to Montreal : Matt Read (64), Y:2018-RND:5-Stl.
[2017-01-20 22:56:06] - Dominic Moore was added to Montreal.
[2017-01-20 22:56:07] - TRADE : From Montreal to Hartford : Jori Lehtera (64), Conditional Draft Pick - Y:2018-RND:7-Det.
[2017-01-20 22:56:07] - TRADE : From Hartford to Montreal : Dominic Moore (63).
[2017-02-02 20:55:14] - Kevin Klein was added to Montreal.
[2017-02-02 20:55:15] - TRADE : From Kansas City to Montreal : Kevin Klein (68).
[2017-02-02 20:55:15] - TRADE : From Montreal to Kansas City : Ben Lovejoy (66), Linus Nassen (P), Ross Colton (P).
[2017-02-04 10:35:16] - John-Michael Liles was added to Montreal.
[2017-02-04 10:35:17] - TRADE : From Montreal to San Jose : Y:2018-RND:5-Stl.
[2017-02-04 10:35:17] - TRADE : From San Jose to Montreal : John-Michael Liles (65).
[2017-02-04 14:29:46] - Ales Hemsky was added to Montreal.
[2017-02-04 14:29:46] - Deryk Engelland was added to Montreal.
[2017-02-04 14:29:46] - Jonas Brodin was added to Montreal.
[2017-02-04 14:29:46] - TRADE : From Montreal to Hartford : Jannik Hansen (66), Jared Spurgeon (68), Y:2018-RND:4-Mon.
[2017-02-04 14:29:46] - TRADE : From Hartford to Montreal : Ales Hemsky (66), Deryk Engelland (61), Jonas Brodin (64).
[2017-02-07 20:13:26] - Tyler Bozak was added to Montreal.
[2017-02-07 20:13:27] - TRADE : From Montreal to Toronto : John Mitchell (64), Connor Ingram (P), Taylor Raddysh (P).
[2017-02-07 20:13:27] - TRADE : From Toronto to Montreal : Tyler Bozak (68), Y:2017-RND:4-Stl.
[2017-02-08 20:00:17] - Maxim Lapierre is no longer captain for Rocket.
[2017-02-08 20:00:17] - Michael Santorelli has been selected as captain for Rocket.
[2017-02-08 20:00:17] - Simon Moser is no longer as assistant for Rocket.
[2017-02-08 20:00:17] - Dominic Turgeon has been selected as assistant for Rocket.
[2017-02-08 20:00:17] - Unknown Player is no longer as assistant for Rocket.
[2017-02-08 20:00:17] - Brian Hart has been selected as assistant for Rocket.
[2017-02-08 23:57:59] - Calvin de Haan was added to Montreal.
[2017-02-08 23:57:59] - Thomas Hickey was added to Montreal.
[2017-02-08 23:58:00] - TRADE : From Montreal to Kansas City : Alec Martinez (68), Jake Gardiner (65), Sami Niku (P).
[2017-02-08 23:58:00] - TRADE : From Kansas City to Montreal : Calvin de Haan (63), Thomas Hickey (65).
[2017-02-25 09:08:33] - Alec Martinez was added to Montreal.
[2017-02-25 09:08:33] - Jake Gardiner was added to Montreal.
[2017-02-25 09:08:35] - TRADE : From Montreal to Kansas City : Calvin de Haan (63), Thomas Hickey (65).
[2017-02-25 09:08:35] - TRADE : From Kansas City to Montreal : Alec Martinez (68), Jake Gardiner (64), Sami Niku (P).
[2017-02-27 21:58:45] - TRADE : From Montreal to Kansas City : Sami Niku (P).
[2017-02-27 21:58:45] - TRADE : From Kansas City to Montreal : 1 $ (Money).
[2017-03-02 00:03:30] - TRADE : From Montreal to Anaheim : John-Michael Liles (65).
[2017-03-02 00:03:30] - TRADE : From Anaheim to Montreal : Y:2018-RND:6-Ana.
[2017-03-02 00:04:34] - Daniel Winnik was added to Montreal.
[2017-03-02 00:04:36] - TRADE : From Montreal to Rangers : Matt Read (64), Simon Bourque (P), Y:2017-RND:4-Stl.
[2017-03-02 00:04:36] - TRADE : From Rangers to Montreal : Daniel Winnik (66).
[2017-03-02 00:05:48] - Edward Purcell was added to Montreal.
[2017-03-02 00:05:49] - TRADE : From Montreal to San Jose : Cam Dineen (P).
[2017-03-02 00:05:49] - TRADE : From San Jose to Montreal : Edward Purcell (66).

No Injury or Suspension.

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	42	22	0	7	2	5	4	296	229	67	41	24	8	0	1	2	3	3	156	116	40	41	18	14	0	6	0	2	1	140	113	27	84	296	538	834	1	2	104	95	85	17	2375	783	780	782	61	2143	649	1079	1569	471	102	21.66%	431	63	85.38%	8	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	2059	1415	1871	622	1048	537
Total Regular Season	82	42	22	0	7	2	5	4	296	229	67	41	24	8	0	1	2	3	3	156	116	40	41	18	14	0	6	0	2	1	140	113	27	84	296	538	834	1	2	104	95	85	17	2375	783	780	782	61	2143	649	1079	1569	471	102	21.66%	431	63	85.38%	8	1496	2934	50.99%	1449	2685	53.97%	650	1289	50.43%	2059	1415	1871	622	1048	537