SIM4 - New York Rangers

Connecticut Whale
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1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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	Evgeny Kuznetsov	X				100.00	52	35	77	86	68	69	85	83	69	93	71	64	78	60	59	71	40	72	0
2	Adam Henrique	X				100.00	57	39	85	76	69	85	92	78	68	64	80	78	71	64	62	55	40	71	0
3	Reilly Smith			X		100.00	56	38	84	77	67	76	92	75	30	70	75	75	68	62	51	63	40	69	0
4	Evander Kane		X			100.00	75	56	66	75	76	91	70	70	68	61	74	70	67	62	64	63	40	68	0
5	Sean Couturier	X				100.00	52	37	78	72	80	79	78	72	73	74	63	76	62	60	61	71	40	68	0
6	Teddy Purcell		X	X		100.00	50	35	84	76	74	71	87	73	31	74	66	64	80	74	69	15	40	67	0
7	Jamie McGinn		X	X		100.00	69	45	82	75	74	58	77	73	31	62	75	60	64	68	62	39	40	65	0
8	Andrew Desjardins	X	X			100.00	74	60	78	69	72	48	81	61	74	53	58	72	56	72	63	23	40	62	0
9	Tom Wilson			X		100.00	81	84	51	68	83	48	83	65	33	64	57	65	57	56	54	87	40	62	0
10	Stephen Gionta	X				100.00	67	43	76	75	55	48	81	59	59	58	51	73	55	78	67	5	40	61	0
11	Sergey Kalinin	X	X	X		100.00	75	47	79	73	78	49	69	61	58	54	58	62	56	62	61	63	40	60	0
12	Brent Burns				X	100.00	69	44	78	78	88	95	96	80	32	74	74	79	84	74	70	15	40	75	0
13	Drew Doughty				X	100.00	62	39	77	75	72	98	98	63	30	66	61	88	58	66	68	47	40	73	0
14	Dennis Seidenberg				X	100.00	78	45	82	67	70	70	71	49	30	53	45	79	50	82	72	5	40	66	0
15	Jeff Petry				X	100.00	74	44	83	67	78	75	67	51	30	53	54	74	52	70	61	31	40	65	0
16	Andrew MacDonald				X	100.00	52	36	76	65	73	74	65	50	30	52	46	79	50	72	64	23	40	63	0
17	Matt Greene				X	100.00	75	49	70	60	83	49	52	46	30	46	47	72	49	78	72	5	40	61	0
18	Jeff Schultz				X	100.00	50	35	80	60	88	57	43	49	30	45	44	76	48	72	65	23	40	60	0
Scratches

	TEAM AVERAGE					100.00	65	45	77	72	75	69	77	64	45	62	61	73	61	68	64	39	40	66

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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
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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	Ryan Miller	100.00	85	84	88	73	88	81	84	85	86	79	74	84	85	5	40	81	0
2	Curtis McElhinney	100.00	68	61	72	77	68	69	66	68	67	81	55	78	74	5	40	69	0
Scratches

	TEAM AVERAGE	100.00	77	73	80	75	78	75	75	77	77	80	65	81	80	5	40	75

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

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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	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S2	S3
1	Adam Henrique	New York Rangers	C	8	3	3	6	0	2	4	9	24	12.50%	2	175	21.91	2	3	5	7	30	1	44	1	54.89%	133	0.68	2	1
2	Brent Burns	New York Rangers	D	8	2	2	4	-2	10	17	10	9	22.22%	5	209	26.15	2	1	3	7	37	0	37	0	0.00%	0	0.38	0	1
3	Reilly Smith	New York Rangers	RW	8	1	3	4	0	0	1	7	15	6.67%	1	152	19.09	0	1	1	2	36	0	22	0	33.33%	36	0.52	1	0
4	Teddy Purcell	New York Rangers	LW/RW	8	0	4	4	0	2	2	7	8	0.00%	1	131	16.48	0	4	4	0	31	0	0	0	33.33%	9	0.61	0	0
5	Dennis Seidenberg	New York Rangers	D	8	2	1	3	-2	18	9	6	4	50.00%	2	155	19.49	2	1	3	4	31	0	23	1	0.00%	0	0.38	0	0
6	Drew Doughty	New York Rangers	D	8	0	3	3	-1	8	3	11	8	0.00%	5	187	23.49	0	2	2	7	39	0	38	0	0.00%	0	0.32	0	0
7	Jamie McGinn	New York Rangers	LW/RW	8	0	3	3	0	8	15	1	9	0.00%	0	133	16.64	0	3	3	2	30	0	0	0	14.29%	7	0.45	0	0
8	Evander Kane	New York Rangers	LW	8	2	0	2	0	20	21	6	14	14.29%	0	148	18.58	0	0	0	5	38	1	19	0	41.18%	17	0.27	0	0
9	Evgeny Kuznetsov	New York Rangers	C	8	1	1	2	-2	0	3	10	13	7.69%	1	189	23.75	1	0	1	6	33	1	37	0	39.91%	218	0.21	0	0
10	Jeff Petry	New York Rangers	D	8	1	1	2	-2	0	5	5	3	33.33%	6	162	20.30	1	0	1	3	31	0	30	1	0.00%	0	0.25	0	1
11	Tom Wilson	New York Rangers	RW	8	0	2	2	-4	14	12	7	7	0.00%	1	107	13.39	0	0	0	1	2	0	0	0	0.00%	2	0.37	0	0
12	Andrew Desjardins	New York Rangers	C/LW	8	1	0	1	-4	2	3	8	8	12.50%	0	120	15.04	0	0	0	0	0	0	16	0	35.29%	17	0.17	1	0
13	Andrew MacDonald	New York Rangers	D	8	0	1	1	-2	2	2	4	2	0.00%	3	103	12.90	0	0	0	0	1	0	1	0	0.00%	0	0.19	0	0
14	Sean Couturier	New York Rangers	C	8	0	1	1	-4	0	0	9	6	0.00%	2	118	14.87	0	0	0	0	7	0	3	0	36.73%	98	0.17	0	0
15	Jeff Schultz	New York Rangers	D	8	0	0	0	-1	0	0	1	0	0.00%	0	34	4.36	0	0	0	0	0	0	7	0	0.00%	0	0.00	0	0
16	Matt Greene	New York Rangers	D	8	0	0	0	-2	2	5	1	0	0.00%	3	106	13.31	0	0	0	0	0	0	10	0	0.00%	0	0.00	0	0
17	Sergey Kalinin	New York Rangers	C/LW/RW	8	0	0	0	-2	0	1	0	4	0.00%	0	40	5.08	0	0	0	0	0	0	0	0	50.00%	4	0.00	0	0
18	Stephen Gionta	New York Rangers	C	8	0	0	0	-2	0	2	5	2	0.00%	0	38	4.85	0	0	0	0	0	0	0	0	45.16%	31	0.00	0	0
Team Total or Average				144	13	25	38	-30	88	105	107	136	9.56%	32	2317	16.09	8	15	23	44	354	3	291	3	42.13%	572	0.33	4	3

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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	Ryan Miller	New York Rangers	8	3	5	0	0.910	1.88	478	0	2	15	166	0	1	0	0.000	0	8	0	2	0	0
Team Total or Average			8	3	5	0	0.910	1.88	478	0	2	15	166	0	1	0	0.000	0	8	0	2	0	0

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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`)
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5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Adam Henrique	New York Rangers	C	28	2/6/1990	No	195 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	0$	0$	No	NHL Link
Andrew Desjardins	New York Rangers	C/LW	31	7/27/1986	No	195 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	0$	0$	No
Andrew MacDonald	New York Rangers	D	31	9/7/1986	No	204 Lbs	6 ft1	No	No	No	4	UFA	Pro & Farm	0$	0$	No	NHL Link
Brent Burns	New York Rangers	D	32	3/9/1985	No	230 Lbs	6 ft5	No	No	No	3	UFA	Pro & Farm	0$	0$	No	NHL Link
Curtis McElhinney	New York Rangers	G	34	5/23/1983	No	205 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	0$	0$	No	NHL Link
Dennis Seidenberg	New York Rangers	D	36	7/18/1981	No	198 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	0$	0$	No	NHL Link
Drew Doughty	New York Rangers	D	28	12/8/1989	No	195 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	0$	0$	No	NHL Link
Evander Kane	New York Rangers	LW	26	8/2/1991	No	204 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	0$	0$	No	NHL Link
Evgeny Kuznetsov	New York Rangers	C	25	5/19/1992	No	192 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	0$	0$	No	NHL Link
Jamie McGinn	New York Rangers	LW/RW	29	8/5/1988	No	205 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	0$	0$	No	NHL Link
Jeff Petry	New York Rangers	D	30	12/9/1987	No	204 Lbs	6 ft3	No	No	No	4	UFA	Pro & Farm	0$	0$	No	NHL Link
Jeff Schultz	New York Rangers	D	31	2/25/1986	No	217 Lbs	6 ft6	No	No	No	2	UFA	Pro & Farm	0$	0$	No
Matt Greene	New York Rangers	D	34	5/13/1983	No	229 Lbs	6 ft3	No	No	No	4	UFA	Pro & Farm	0$	0$	No
Reilly Smith	New York Rangers	RW	26	4/1/1991	No	185 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	0$	0$	No	NHL Link
Ryan Miller	New York Rangers	G	37	7/17/1980	No	168 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	0$	0$	No	NHL Link
Sean Couturier	New York Rangers	C	25	12/7/1992	No	211 Lbs	6 ft3	No	No	No	5	RFA	Pro & Farm	0$	0$	No	NHL Link
Sergey Kalinin	New York Rangers	C/LW/RW	26	3/17/1991	No	200 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	0$	0$	No
Stephen Gionta	New York Rangers	C	34	10/9/1983	No	175 Lbs	5 ft7	No	No	No	4	UFA	Pro & Farm	0$	0$	No	NHL Link
Teddy Purcell	New York Rangers	LW/RW	32	9/8/1985	No	195 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	0$	0$	No
Tom Wilson	New York Rangers	RW	23	3/29/1994	No	215 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	0$	0$	No	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	29.90	201 Lbs	6 ft2	2.70	0$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
0$	0$	0$	0$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Evander Kane	Evgeny Kuznetsov	Reilly Smith	40	1	2	2
2	Teddy Purcell	Adam Henrique	Jamie McGinn	30	1	2	2
3	Andrew Desjardins	Sean Couturier	Tom Wilson	20	1	2	2
4	Sergey Kalinin	Stephen Gionta	Evgeny Kuznetsov	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brent Burns	Drew Doughty	40	1	2	2
2	Dennis Seidenberg	Jeff Petry	30	1	2	2
3	Andrew MacDonald	Matt Greene	20	1	2	2
4	Jeff Schultz	Brent Burns	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Evander Kane	Evgeny Kuznetsov	Reilly Smith	60	1	2	2
2	Teddy Purcell	Adam Henrique	Jamie McGinn	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brent Burns	Drew Doughty	60	1	2	2
2	Dennis Seidenberg	Jeff Petry	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Evgeny Kuznetsov	Adam Henrique	60	1	2	2
2	Reilly Smith	Evander Kane	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brent Burns	Drew Doughty	60	1	2	2
2	Dennis Seidenberg	Jeff Petry	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Evgeny Kuznetsov	60	1	2	2	Brent Burns	Drew Doughty	60	1	2	2
2	Adam Henrique	40	1	2	2	Dennis Seidenberg	Jeff Petry	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Evgeny Kuznetsov	Adam Henrique	60	1	2	2
2	Reilly Smith	Evander Kane	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brent Burns	Drew Doughty	60	1	2	2
2	Dennis Seidenberg	Jeff Petry	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Evander Kane	Evgeny Kuznetsov	Reilly Smith	Brent Burns	Drew Doughty

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Evander Kane	Evgeny Kuznetsov	Reilly Smith	Brent Burns	Drew Doughty

Extra Forwards
Normal	PowerPlay	Penalty Kill
Sean Couturier, Tom Wilson, Andrew Desjardins	Sean Couturier, Tom Wilson	Andrew Desjardins

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Andrew MacDonald, Matt Greene, Jeff Schultz	Andrew MacDonald	Matt Greene, Jeff Schultz

Penalty Shots
Evgeny Kuznetsov, Adam Henrique, Reilly Smith, Evander Kane, Sean Couturier

Goalie
#1 : Ryan Miller, #2 : Curtis McElhinney

Custom OT Lines Forwards
Evgeny Kuznetsov, Adam Henrique, Reilly Smith, Evander Kane, Sean Couturier, Teddy Purcell, Teddy Purcell, Jamie McGinn, Tom Wilson, Andrew Desjardins, Stephen Gionta

Custom OT Lines Defensemen
Brent Burns, Drew Doughty, Dennis Seidenberg, Jeff Petry, Andrew MacDonald

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Carolina Hurricanes	2	0	2	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	0	0	1	1	0	0	39	11	15	13	0	47	11	18	29	9	1	11.11%	9	0	100.00%	0	96	228	42.11%	101	236	42.80%	44	108	40.74%	48	31	45	15	25	12
2	Columbus Blue Jackets	2	1	1	0	0	0	0	0	3	3	0	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	3	5	8	0	0	1	1	1	0	35	14	9	12	0	37	9	26	27	12	3	25.00%	12	1	91.67%	0	96	228	42.11%	101	236	42.80%	44	108	40.74%	45	30	51	14	23	11
3	New Jersey Devils	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	0	2	2	1.000	2	4	6	0	1	1	0	1	0	17	5	7	5	0	21	4	4	12	5	1	20.00%	2	0	100.00%	0	96	228	42.11%	101	236	42.80%	44	108	40.74%	23	16	24	7	12	5
4	New York Islanders	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	0	3	2	1.000	3	6	9	0	1	2	0	1	0	14	6	4	4	0	16	2	10	10	6	2	33.33%	4	0	100.00%	0	96	228	42.11%	101	236	42.80%	44	108	40.74%	25	17	21	7	13	7
5	Philadelphia Flyers	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	0	1	0	0	13	3	6	4	0	24	4	10	13	5	0	0.00%	5	1	80.00%	0	96	228	42.11%	101	236	42.80%	44	108	40.74%	22	15	25	7	12	5
	Total	8	3	5	0	0	0	0	0	13	15	-2	3	1	2	0	0	0	0	0	5	7	-2	5	2	3	0	0	0	0	0	8	8	0	6	0.375	13	25	38	0	2	6	4	3	0	136	46	46	44	0	166	32	88	105	40	8	20.00%	42	4	90.48%	0	96	228	42.11%	101	236	42.80%	44	108	40.74%	188	126	192	59	99	49
7	Washington Capitals	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	0	0	18	7	5	6	0	21	2	20	14	3	1	33.33%	10	2	80.00%	0	96	228	42.11%	101	236	42.80%	44	108	40.74%	23	15	24	7	12	5
	_Since Last GM Reset	8	3	5	0	0	0	0	0	13	15	-2	3	1	2	0	0	0	0	0	5	7	-2	5	2	3	0	0	0	0	0	8	8	0	6	0.375	13	25	38	0	2	6	4	3	0	136	46	46	44	0	166	32	88	105	40	8	20.00%	42	4	90.48%	0	96	228	42.11%	101	236	42.80%	44	108	40.74%	188	126	192	59	99	49
	_Vs Conference	8	3	5	0	0	0	0	0	13	15	-2	3	1	2	0	0	0	0	0	5	7	-2	5	2	3	0	0	0	0	0	8	8	0	6	0.375	13	25	38	0	2	6	4	3	0	136	46	46	44	0	166	32	88	105	40	8	20.00%	42	4	90.48%	0	96	228	42.11%	101	236	42.80%	44	108	40.74%	188	126	192	59	99	49
	_Vs Division	8	3	5	0	0	0	0	0	13	15	-2	3	1	2	0	0	0	0	0	5	7	-2	5	2	3	0	0	0	0	0	8	8	0	6	0.375	13	25	38	0	2	6	4	3	0	136	46	46	44	0	166	32	88	105	40	8	20.00%	42	4	90.48%	0	96	228	42.11%	101	236	42.80%	44	108	40.74%	188	126	192	59	99	49

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
8	6	W1	13	25	38	136	166	32	88	105	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	5	0	0	0	0	13	15

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	5	7

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	8	8

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	5	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
40	8	20.00%	42	4	90.48%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
46	46	44	0	6	4	3	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
96	228	42.11%	101	236	42.80%	44	108	40.74%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
188	126	192	59	99	49

Last Played Games

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Day	Game	Visitor Team	Score	Home Team	Score	ST	Link
4 - 2017-05-16	16	New York Rangers	1	Carolina Hurricanes	3	L	BoxScore
5 - 2017-05-17	26	Columbus Blue Jackets	1	New York Rangers	2	W	BoxScore
8 - 2017-05-20	38	Carolina Hurricanes	3	New York Rangers	1	L	BoxScore
10 - 2017-05-22	54	New York Rangers	2	New Jersey Devils	0	W	BoxScore
12 - 2017-05-24	59	New York Rangers	1	Columbus Blue Jackets	2	L	BoxScore
14 - 2017-05-26	72	New York Rangers	1	Philadelphia Flyers	3	L	BoxScore
16 - 2017-05-28	85	Washington Capitals	3	New York Rangers	2	L	BoxScore
18 - 2017-05-30	94	New York Rangers	3	New York Islanders	0	W	BoxScore
24 - 2017-06-05	116	New York Islanders	-	New York Rangers	-
29 - 2017-06-10	141	New Jersey Devils	-	New York Rangers	-
31 - 2017-06-12	151	New York Rangers	-	Washington Capitals	-
35 - 2017-06-16	170	Philadelphia Flyers	-	New York Rangers	-
Trade Deadline --- Trades can’t be done after this day is simulated!
39 - 2017-06-20	187	Pittsburgh Penguins	-	New York Rangers	-
42 - 2017-06-23	200	New York Rangers	-	Pittsburgh Penguins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
4	0 - 0.00%	0$	0$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	0$	0$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	25	0$	0$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	10,000,000$	10,000,000$

Depth Chart

Left Wing

Center

Right Wing

Evander Kane	AGE:26	PO:63	OV:68
Teddy Purcell	AGE:32	PO:15	OV:67
Jamie McGinn	AGE:29	PO:39	OV:65
Andrew Desjardins	AGE:31	PO:23	OV:62
Sergey Kalinin	AGE:26	PO:63	OV:60
Quinton Howden	AGE:26	PO:71	OV:58
Nick Ritchie	AGE:22	PO:95	OV:57
Max McCormick	AGE:25	PO:71	OV:57
*Colton Hargrove	AGE:25	PO:71	OV:54
Rob Flick	AGE:26	PO:63	OV:54
Matt Lindblad	AGE:27	PO:55	OV:53
Luke Gazdic	AGE:28	PO:47	OV:53
Matt Mangene	AGE:28	PO:47	OV:52
Danny Hobbs	AGE:28	PO:47	OV:51

Evgeny Kuznetsov	AGE:25	PO:71	OV:72
Adam Henrique	AGE:28	PO:55	OV:71
Sean Couturier	AGE:25	PO:71	OV:68
Andrew Desjardins	AGE:31	PO:23	OV:62
Stephen Gionta	AGE:34	PO:5	OV:61
Sergey Kalinin	AGE:26	PO:63	OV:60
Nick Shore	AGE:25	PO:71	OV:58
Quinton Howden	AGE:26	PO:71	OV:58
Drew Shore	AGE:27	PO:63	OV:58
Laurent Dauphin	AGE:22	PO:95	OV:55
Rob Flick	AGE:26	PO:63	OV:54
Jacob Doty	AGE:24	PO:79	OV:52
Jared Gomes	AGE:29	PO:39	OV:52
Danny Hobbs	AGE:28	PO:47	OV:51

Reilly Smith	AGE:26	PO:63	OV:69
Teddy Purcell	AGE:32	PO:15	OV:67
Jamie McGinn	AGE:29	PO:39	OV:65
Tom Wilson	AGE:23	PO:87	OV:62
Sergey Kalinin	AGE:26	PO:63	OV:60
Ryan Reaves	AGE:31	PO:31	OV:58
Max McCormick	AGE:25	PO:71	OV:57
*Riley Barber	AGE:24	PO:87	OV:56
Austen Brassard	AGE:25	PO:79	OV:54
Eriah Hayes	AGE:29	PO:39	OV:54
Jacob Doty	AGE:24	PO:79	OV:52
Matt Mangene	AGE:28	PO:47	OV:52
Derek DeBlois	AGE:26	PO:63	OV:51
Matt Willows	AGE:26	PO:63	OV:51
*Patrick McGrath	AGE:24	PO:79	OV:50
Jonathan Parker	AGE:26	PO:63	OV:50

Defense #1

Defense #2

Goalie

Brent Burns	AGE:32	PO:15	OV:75
Drew Doughty	AGE:28	PO:47	OV:73
Dennis Seidenberg	AGE:36	PO:5	OV:66
Jeff Petry	AGE:30	PO:31	OV:65
Andrew MacDonald	AGE:31	PO:23	OV:63
Matt Greene	AGE:34	PO:5	OV:61
Jeff Schultz	AGE:31	PO:23	OV:60
Morgan Ellis	AGE:25	PO:71	OV:58
Robert Bortuzzo	AGE:28	PO:47	OV:58
Tyler Wotherspoon	AGE:24	PO:79	OV:56

Andrew Bodnarchuk	AGE:29	PO:39	OV:56
Brett Lernout	AGE:22	PO:95	OV:55
Ryan Johnston	AGE:25	PO:71	OV:55
Michael Sdao	AGE:28	PO:47	OV:54
Patrick Cullity	AGE:31	PO:31	OV:53
Jordan Henry	AGE:31	PO:23	OV:53
Alex Gudbranson	AGE:23	PO:87	OV:52
Matt Mangene	AGE:28	PO:47	OV:52
*Christian Marti	AGE:24	PO:79	OV:51

Ryan Miller	AGE:37	PO:5	OV:81
Curtis McElhinney	AGE:34	PO:5	OV:69
Niklas Backstrom	AGE:39	PO:5	OV:65
Malcolm Subban	AGE:24	PO:79	OV:59
Troy Grosenick	AGE:28	PO:47	OV:55
Josh Robinson	AGE:28	PO:47	OV:53
Jacob Deserres	AGE:27	PO:55	OV:49

Prospects

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Prospect	Team Name	Draft Year	Overall Pick	Information	Lien

Draft Picks

Year	R1	R2	R3	R4	R5
5	NYR	NYR	NYR	NYR	NYR
6	NYR	NYR	NYR	NYR	NYR
7	NYR	NYR	NYR	NYR	NYR
8	NYR	NYR	NYR	NYR	NYR
9	NYR	NYR	NYR	NYR	NYR

[5/13/2017 1:27:09 PM] - Connecticut Whale didn't make playoff for year 3.
[5/13/2017 1:27:09 PM] - New York Rangers didn't make playoff for year 3.
[5/13/2017 1:05:06 PM] - New Record for Team's Most Penalties Minutes (45) in 1 Game for New York Rangers!
[5/13/2017 1:02:57 PM] - New Record for Team's Most Points (15) in 1 Game for New York Rangers!
[5/13/2017 1:02:57 PM] - New Record for Team's Most Assists (10) in 1 Game for New York Rangers!
[5/13/2017 1:02:25 PM] - New Record for Team's Most Hits (32) in 1 Game for New York Rangers!
[5/13/2017 12:59:03 PM] - Connecticut Whale was eliminated at round 2 of year 2.
[5/13/2017 12:58:36 PM] - New York Rangers didn't make playoff for year 2.
[5/13/2017 12:55:57 PM] - New Record for Team's Most Shots (36) in 1 Game for New York Rangers!
[5/13/2017 12:54:24 PM] - New Record for Team's Most Shots (29) in 1 Game for New York Rangers!
[5/13/2017 12:50:35 PM] - Connecticut Whale didn't make playoff for year 1.
[5/13/2017 12:50:35 PM] - New York Rangers didn't make playoff for year 1.
[5/13/2017 12:17:25 PM] - New Record for Team's Most Shots (27) in 1 Game for New York Rangers!
[5/13/2017 12:16:58 PM] - New Record for Team's Most Hits (29) in 1 Game for New York Rangers!
[5/13/2017 12:16:55 PM] - New Record for Team's Most Penalties Minutes (38) in 1 Game for New York Rangers!
[5/13/2017 12:16:43 PM] - New Record for Team's Most Points (14) in 1 Game for New York Rangers!
[5/13/2017 12:16:43 PM] - New Record for Team's Most Assists (9) in 1 Game for New York Rangers!
[5/13/2017 12:16:43 PM] - New Record for Team's Most Goals (5) in 1 Game for New York Rangers!
[5/13/2017 12:16:16 PM] - New Record for Team's Most Shots Blocked (13) in 1 Game for New York Rangers!
[5/13/2017 12:15:37 PM] - New Record for Team's Most Points (11) in 1 Game for New York Rangers!
[5/13/2017 12:15:37 PM] - New Record for Team's Most Assists (7) in 1 Game for New York Rangers!
[5/13/2017 12:15:37 PM] - New Record for Team's Most Goals (4) in 1 Game for New York Rangers!
[5/13/2017 12:14:56 PM] - New Record for Team's Most Points (9) in 1 Game for New York Rangers!
[5/13/2017 12:14:56 PM] - New Record for Team's Most Assists (6) in 1 Game for New York Rangers!
[5/13/2017 12:14:36 PM] - New Record for Team's Most Hits (21) in 1 Game for New York Rangers!
[5/13/2017 12:14:36 PM] - New Record for Team's Most Shots Blocked (12) in 1 Game for New York Rangers!
[5/13/2017 12:14:25 PM] - New Record for Team's Most Shots (25) in 1 Game for New York Rangers!
[5/13/2017 12:14:22 PM] - New Record for Team's Most Hits (19) in 1 Game for New York Rangers!
[5/13/2017 12:14:18 PM] - New Record for Team's Most Hits (17) in 1 Game for New York Rangers!
[5/13/2017 12:14:18 PM] - New Record for Team's Most Penalties Minutes (35) in 1 Game for New York Rangers!
[5/13/2017 12:14:18 PM] - New Record for Team's Most Penalties Minutes (35) in 1 Game for New York Rangers!
[5/13/2017 12:14:10 PM] - New Record for Team's Most Shots (20) in 1 Game for New York Rangers!
[5/13/2017 12:14:01 PM] - New Record for Team's Most Penalties Minutes (14) in 1 Game for New York Rangers!
[5/13/2017 12:14:01 PM] - New Record for Team's Most Shots Blocked (9) in 1 Game for New York Rangers!
[5/13/2017 12:13:57 PM] - New Record for Team's Most Hits (15) in 1 Game for New York Rangers!
[5/13/2017 12:13:57 PM] - New Record for Team's Most Penalties Minutes (12) in 1 Game for New York Rangers!

[5/13/2017 2:21:35 PM] Connecticut Whale lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 2:21:32 PM] New York Rangers lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 2:21:30 PM] New York Rangers lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 2:21:28 PM] Connecticut Whale lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 2:21:26 PM] Both New York Rangers and Connecticut Whale lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 2:21:23 PM] Both New York Rangers and Connecticut Whale lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 2:21:20 PM] Both New York Rangers and Connecticut Whale lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 2:21:16 PM] New York Rangers lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 2:21:12 PM] Both New York Rangers and Connecticut Whale lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 2:21:11 PM] New York Rangers lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 2:21:05 PM] Connecticut Whale lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 1:07:20 PM] Connecticut Whale lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 1:07:15 PM] New York Rangers lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 1:07:12 PM] Connecticut Whale lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 1:07:08 PM] New York Rangers lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 1:07:03 PM] Connecticut Whale lines for next game are empty. Current rosters/lines are not erased.
[5/13/2017 1:07:01 PM] Both New York Rangers and Connecticut Whale lines for next game are empty. Current rosters/lines are not erased.

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
1	44	18	14	0	0	6	2	4	71	78	-7	22	9	7	0	0	3	1	2	33	37	-4	22	9	7	0	0	3	1	2	38	41	-3	36	71	122	193	0	8	24	20	25	5	751	261	225	250	35	752	260	550	672	232	25	10.78%	228	24	89.47%	3	582	1182	49.24%	564	1232	45.78%	254	560	45.36%	1072	734	1059	337	545	274
2	62	24	26	0	1	4	5	2	113	119	-6	31	11	13	0	1	3	3	0	56	53	3	31	13	13	0	0	1	2	2	57	66	-9	48	113	186	299	2	8	38	39	30	11	1098	309	379	400	43	1031	288	805	1064	287	37	12.89%	357	38	89.36%	2	835	1727	48.35%	819	1668	49.10%	395	798	49.50%	1503	1028	1487	465	772	385
3	78	23	38	0	3	4	3	7	124	154	-30	39	13	16	0	2	2	2	4	62	72	-10	39	10	22	0	1	2	1	3	62	82	-20	46	124	218	342	1	12	43	43	32	14	1227	415	406	386	64	1368	380	987	1298	360	30	8.33%	404	44	89.11%	4	979	2016	48.56%	979	2091	46.82%	503	975	51.59%	1910	1317	1861	580	969	485
4	14	7	6	0	0	1	0	0	31	28	3	7	5	2	0	0	0	0	0	20	15	5	7	2	4	0	0	1	0	0	11	13	-2	14	31	58	89	0	2	12	11	8	0	242	80	77	85	0	269	75	144	201	68	13	19.12%	68	6	91.18%	0	169	378	44.71%	183	392	46.68%	84	202	41.58%	334	228	332	103	173	87
4	8	3	5	0	0	0	0	0	13	15	-2	3	1	2	0	0	0	0	0	5	7	-2	5	2	3	0	0	0	0	0	8	8	0	6	13	25	38	0	2	6	4	3	0	136	46	46	44	0	166	32	88	105	40	8	20.00%	42	4	90.48%	0	96	228	42.11%	101	236	42.80%	44	108	40.74%	188	126	192	59	99	49
Total Regular Season	206	75	89	0	4	15	10	13	352	394	-42	102	39	40	0	3	8	6	6	176	184	-8	104	36	49	0	1	7	4	7	176	210	-34	150	352	609	961	3	32	123	117	98	30	3454	1111	1133	1165	142	3586	1035	2574	3340	987	113	11.45%	1099	116	89.44%	9	2661	5531	48.11%	2646	5619	47.09%	1280	2643	48.43%	5009	3436	4934	1546	2560	1282

Year	R1	R2	R3	R4	R5
5	NYR	NYR	NYR	NYR	NYR
6	NYR	NYR	NYR	NYR	NYR
7	NYR	NYR	NYR	NYR	NYR
8	NYR	NYR	NYR	NYR	NYR
9	NYR	NYR	NYR	NYR	NYR

Year	R1	R2	R3	R4	R5
5	NYR	NYR	NYR	NYR	NYR
6	NYR	NYR	NYR	NYR	NYR
7	NYR	NYR	NYR	NYR	NYR
8	NYR	NYR	NYR	NYR	NYR
9	NYR	NYR	NYR	NYR	NYR

Year	R1	R2	R3	R4	R5
5	NYR	NYR	NYR	NYR	NYR
6	NYR	NYR	NYR	NYR	NYR
7	NYR	NYR	NYR	NYR	NYR
8	NYR	NYR	NYR	NYR	NYR
9	NYR	NYR	NYR	NYR	NYR