Canadian Hockey League

WolfPack
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

GoldenKnights
0-1-0, 0pts

Day 3

Rangers
0-0-0, 0pts

Team Stats
L1	Streak	N/A
0-1-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-1-0	Last 10 Games	0-0-0
3.00	Goals Per Game	0
4.00	Goals Against Per Game	0
25.00%	Power Play Percentage	0%
88.89%	Penalty Kill Percentage	0%

Rangers
0-0-0, 0pts

Day 4

Flyers
0-1-0, 0pts

Team Stats
N/A	Streak	L1
0-0-0	Home Record	0-1-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-1-0
0	Goals Per Game	4.00
0	Goals Against Per Game	5.00
0%	Power Play Percentage	14.29%
0%	Penalty Kill Percentage	75.00%

Islanders
0-0-0, 0pts

Day 6

Rangers
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager	Michel Lirette
	Coach	Rod Brind'Amour
	Division	Metropolitan
	Conference	Eastern
	Captain	Ryan O'Reilly
	Assistant #1	Aaron Ekblad
	Assistant #2
Uniforms

Arena Info
	Name	Madison Square Garden
	Capacity	25,000
	Attendance
	Season Tickets	10,000
Roster Info
	Pro Team	21
	Farm Team	24
	Contract Limit	45 / 70
	Prospects	39
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	85,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	21
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	96,816,517$
	Projected Bank Account	96,816,517$
Team History
	This Season	0-0-0 (0PTS)
	History	703-715-131 (0.454%)
	Playoff Appearances	6
	Playoff Record (W-L)	26-36
	Stanley Cup	0

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	Age	Contract	Salary
1	Ryan O'Reilly (C)	X				100.00	47	51	86	89	67	87	99	80	89	83	76	84	77	90	89	25	20	77	0	33	3	7,500,000$
2	Patrick Kane			X		100.00	47	41	84	95	46	85	77	84	40	84	83	62	80	96	91	10	20	75	0	36	1	1$
3	Tyler Seguin	X				100.00	61	51	82	87	67	82	89	76	91	73	80	71	86	88	85	30	20	74	0	32	3	7,500,000$
4	Nick Paul			X		100.00	70	61	83	80	82	84	99	68	89	62	74	71	40	82	83	45	20	71	0	29	5	3,750,000$
5	Anthony Duclair		X			100.00	56	47	81	86	58	81	93	69	40	60	77	75	60	82	82	45	20	70	0	29	1	5,000,000$
6	Jean-Gabriel Pageau	X				100.00	96	46	87	83	52	81	99	62	90	62	61	79	40	88	85	30	20	70	0	32	7	3,500,000$
7	Andrei Kuzmenko		X			100.00	45	46	87	87	56	79	92	71	40	67	75	62	84	80	80	50	20	69	0	28	4	5,250,000$
8	Cal Clutterbuck			X		100.00	99	51	82	78	67	74	99	55	40	52	57	72	60	98	86	5	23	67	0	37	2	1,000,000$
9	Pavel Dorofeyev		X			100.00	49	48	85	83	60	77	75	66	40	59	73	73	90	72	75	70	20	67	0	24	3	1,750,000$
10	Parker Kelly			X		100.00	90	46	83	78	56	74	98	54	40	50	58	86	40	74	74	65	37	66	0	25	1	850,000$
11	Colin Blackwell	X				100.00	64	43	85	81	50	79	73	56	81	47	65	83	40	86	83	35	20	65	0	31	1	1,750,000$
12	Justin Brazeau		X			100.00	93	58	88	76	81	73	56	60	40	49	72	73	40	76	75	60	20	65	0	26	2	1,900,000$
13	Aaron Ekblad (A)				X	100.00	79	56	70	77	77	84	78	61	40	63	60	86	40	80	82	50	20	73	0	28	6	8,000,000$
14	Erik Cernak				X	100.00	99	67	72	75	82	82	90	53	40	53	54	84	40	78	80	55	20	73	0	27	5	4,850,000$
15	Andrew Peeke				X	100.00	94	55	83	75	74	77	69	56	40	59	53	80	40	76	77	60	20	70	0	26	3	3,250,000$
16	Ryan Graves				X	100.00	64	58	81	75	81	80	91	54	40	53	55	82	40	82	81	45	20	70	0	29	2	3,750,000$
17	Dylan Samberg				X	100.00	60	59	79	75	77	76	96	55	40	58	52	81	40	74	75	65	20	69	0	25	3	1,900,000$
18	Matt Benning				X	100.00	72	50	70	75	65	80	53	51	40	52	50	83	40	84	82	40	20	67	0	30	3	2,000,000$
Scratches
1	Olli Maatta				X	100.00	57	52	86	77	69	77	92	56	40	56	57	77	40	84	81	40	20	69	0	30	4	2,500,000$
Farm Team
1	Carl Grundstrom			X		100.00	94	48	85	78	61	73	77	55	40	47	63	67	65	78	76	55	20	63	0	27	2	1,975,000$
2	Julien Gauthier			X		100.00	95	59	84	75	82	72	62	59	40	52	65	60	40	78	75	55	20	63	0	27	3	1,000,000$
3	Conor Sheary		X			100.00	48	39	86	81	43	73	82	56	40	56	56	74	65	88	81	30	18	63	0	32	3	900,000$
4	Nick Bonino	X				100.00	45	49	86	75	62	75	74	50	86	47	52	84	76	96	86	10	18	63	0	36	3	2,000,000$
5	Zach Sanford		X			100.00	59	54	86	75	72	73	63	53	70	57	50	74	40	84	79	40	20	62	0	30	2	600,000$
6	Adam Erne		X			100.00	99	62	83	75	71	67	60	48	40	43	53	58	69	82	75	45	20	59	0	29	3	1,750,000$
7	Carson Meyer			X		100.00	99	43	87	78	51	70	53	51	40	46	56	62	40	78	74	55	20	59	0	27	2	600,000$
8	Rory Kerins (R)	X				100.00	49	44	87	90	54	63	53	49	70	44	54	60	40	68	66	80	20	57	0	22	3	925,000$
9	Sasha Chmelevski	X				100.00	65	45	86	82	55	60	50	62	74	45	50	50	40	74	67	65	20	56	0	25	2	575,000$
10	Aleksi Heponiemi		X			100.00	45	38	86	83	40	60	50	57	40	46	50	51	40	74	67	65	18	54	0	25	3	600,000$
11	Nate Schmidt				X	100.00	65	46	85	79	57	77	86	55	40	56	54	72	40	90	84	25	18	67	0	33	3	1,250,000$
12	Emil Lilleberg (R)				X	100.00	99	51	81	75	66	77	68	51	40	51	50	68	40	70	74	75	20	66	0	23	3	750,000$
13	Sam Malinski (R)				X	100.00	54	45	85	85	54	74	59	66	40	65	66	68	40	76	75	60	20	65	0	26	1	575,000$
14	Philippe Myers				X	100.00	99	59	68	75	80	65	60	42	40	46	38	70	40	78	72	55	18	64	0	27	3	850,000$
15	Nils Lundkvist				X	100.00	57	47	85	80	58	73	83	59	40	64	54	65	40	72	73	70	20	64	0	24	1	825,000$
16	Victor Soderstrom				X	100.00	53	43	79	77	52	66	61	49	40	50	48	52	40	70	68	75	29	57	0	23	1	1,100,000$
17	Ryan Tverberg (R)		X			100.00	49	44	82	90	53	60	50	54	40	61	46	66	40	68	64	80	20	58	0	22	3	600,000$
18	Noel Gunler			X		100.00	47	43	82	76	51	60	50	49	40	46	51	50	40	70	65	75	20	53	0	23	1	925,000$
19	Matthew Seminoff (R)		X			100.00	52	50	86	88	54	79	69	34	40	33	35	62	40	66	73	85	20	53	0	21	3	925,000$
20	Alexander Pashin (R)			X		100.00	41	42	84	75	40	60	50	34	40	30	37	50	90	68	64	80	20	47	0	22	2	925,000$
21	Robin Salo				X	100.00	53	48	84	75	54	72	67	41	40	43	39	50	40	76	74	60	18	56	0	26	3	600,000$

	TEAM AVERAGE					100.00	68	50	83	80	62	74	74	57	50	54	57	69	51	79	77	52	20	64

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	Age	Contract	Salary
1	Igor Shesterkin	100.00	93	97	99	87	83	83	85	86	85	82	91	82	83	45	20	84	0	29	2	5,250,000$
2	Darcy Kuemper	100.00	78	70	72	98	63	65	62	62	63	63	87	92	79	20	20	70	0	34	7	3,500,000$
Scratches
Farm Team
1	Martin Jones	100.00	85	57	60	95	74	75	76	74	76	75	96	92	84	20	18	75	0	34	3	900,000$
2	Tomas Suchanek (R)	100.00	87	55	60	85	62	60	60	57	55	54	50	66	63	85	20	62	0	21	3	925,000$
3	Philipp Grubauer	100.00	88	74	75	85	73	73	74	72	74	72	90	90	82	25	13	75	0	33	3	3,000,000$

	TEAM AVERAGE	100.00	86	71	73	90	71	71	71	70	71	69	83	84	78	39	18	73

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Rod Brind'Amour	68	96	92	90	82	75	66	CAN	54	5	6,000,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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

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	Available For Trade	Force Waivers	Contract	Type	2038	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2039	2040	2041	2042	2043	2044	2045	Link
Aaron Ekblad	Rangers	D	28	1996-02-07	No	215 Lbs	6 ft4	No	No	Yes	6	Pro Only	8,000,000$	8,000,000$	8,000,000$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	UFA		Link / NHL Link
Andrei Kuzmenko	Rangers	LW	28	1996-02-04	No	194 Lbs	5 ft11	No	No	Yes	4	Pro Only	5,250,000$	5,250,000$	5,250,000$	No	5,250,000$	5,250,000$	5,250,000$	UFA				Link / NHL Link
Andrew Peeke	Rangers	D	26	1998-03-17	No	214 Lbs	6 ft3	No	No	Yes	3	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	No	3,250,000$	3,250,000$	UFA					Link / NHL Link
Anthony Duclair	Rangers	LW	29	1995-08-26	No	197 Lbs	5 ft11	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	UFA							Link / NHL Link
Cal Clutterbuck	Rangers	RW	37	1987-11-18	No	215 Lbs	5 ft11	Yes	No	No	2	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No	1,000,000$	UFA						Link / NHL Link
Colin Blackwell	Rangers	C	31	1993-03-28	No	190 Lbs	5 ft9	No	No	No	1	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	No	UFA							Link / NHL Link
Darcy Kuemper	Rangers	G	34	1990-05-05	No	212 Lbs	6 ft4	Yes	No	Yes	7	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	UFA	Link / NHL Link
Dylan Samberg	Rangers	D	25	1999-01-24	No	216 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,900,000$	1,900,000$	1,900,000$	No	1,900,000$	1,900,000$	UFA					Link / NHL Link
Erik Cernak	Rangers	D	27	1997-05-28	No	230 Lbs	6 ft3	No	No	Yes	5	Pro & Farm	4,850,000$	4,850,000$	4,850,000$	No	4,850,000$	4,850,000$	4,850,000$	4,850,000$	UFA			Link / NHL Link
Igor Shesterkin	Rangers	G	29	1995-12-30	No	182 Lbs	6 ft2	No	No	Yes	2	Pro Only	5,250,000$	5,250,000$	5,250,000$	No	5,250,000$	UFA						Link / NHL Link
Jean-Gabriel Pageau	Rangers	C	32	1992-11-11	No	185 Lbs	5 ft11	Yes	No	Yes	7	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	UFA	Link / NHL Link
Justin Brazeau	Rangers	LW	26	1998-02-02	No	220 Lbs	6 ft5	No	No	No	2	Pro & Farm	1,900,000$	1,900,000$	1,900,000$	No	1,900,000$	UFA						Link / NHL Link
Matt Benning	Rangers	D	30	1994-05-25	No	203 Lbs	6 ft1	No	No	No	3	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	2,000,000$	UFA					Link / NHL Link
Nick Paul	Rangers	RW	29	1995-03-20	No	229 Lbs	6 ft3	Yes	No	Yes	5	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	3,750,000$	3,750,000$	3,750,000$	UFA			Link / NHL Link
Olli Maatta	Rangers	D	30	1994-08-22	No	207 Lbs	6 ft2	Yes	No	Yes	4	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	2,500,000$	2,500,000$	UFA				Link / NHL Link
Parker Kelly	Rangers	RW	25	1999-05-14	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	850,000$	850,000$	850,000$	No	RFA							Link / NHL Link
Patrick Kane	Rangers	RW	36	1988-11-19	No	177 Lbs	5 ft10	Yes	No	Yes	1	Pro Only	1$	1$	1$	No	UFA							Link / NHL Link
Pavel Dorofeyev	Rangers	LW	24	2000-10-26	No	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	No	1,750,000$	1,750,000$	RFA					Link / NHL Link
Ryan Graves	Rangers	D	29	1995-05-21	No	220 Lbs	6 ft5	No	No	Yes	2	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	UFA						Link / NHL Link
Ryan O'Reilly	Rangers	C	33	1991-02-07	No	207 Lbs	6 ft1	No	No	Yes	3	Pro Only	7,500,000$	7,500,000$	7,500,000$	No	7,500,000$	7,500,000$	UFA					Link / NHL Link
Tyler Seguin	Rangers	C	32	1992-01-31	No	207 Lbs	6 ft1	No	No	Yes	3	Pro Only	7,500,000$	7,500,000$	7,500,000$	No	7,500,000$	7,500,000$	UFA					Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	29.52	205 Lbs	6 ft1	3.24	3,559,524$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
74,750,001$	67,150,000$	55,250,000$	31,350,000$	23,600,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anthony Duclair	Ryan O'Reilly	Patrick Kane	35	0	2	3
2	Andrei Kuzmenko	Tyler Seguin	Nick Paul	28	0	2	3
3	Pavel Dorofeyev	Jean-Gabriel Pageau	Parker Kelly	22	0	2	3
4	Justin Brazeau	Colin Blackwell	Cal Clutterbuck	15	3	2	0

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ekblad	Erik Cernak	40	1	2	2
2	Ryan Graves	Dylan Samberg	30	1	2	2
3	Andrew Peeke	Matt Benning	20	1	2	2
4	Aaron Ekblad	Erik Cernak	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tyler Seguin	Ryan O'Reilly	Patrick Kane	60	1	2	2
2	Anthony Duclair	Nick Paul	Andrei Kuzmenko	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ekblad	Pavel Dorofeyev	60	1	2	2
2	Ryan Graves	Justin Brazeau	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jean-Gabriel Pageau	Parker Kelly	60	1	2	2
2	Colin Blackwell	Nick Paul	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ekblad	Erik Cernak	60	1	2	2
2	Ryan Graves	Andrew Peeke	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Colin Blackwell	60	1	2	2	Aaron Ekblad	Erik Cernak	60	1	2	2
2	Jean-Gabriel Pageau	40	1	2	2	Ryan Graves	Andrew Peeke	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan O'Reilly	Anthony Duclair	60	1	2	2
2	Tyler Seguin	Patrick Kane	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ekblad	Erik Cernak	60	1	2	2
2	Ryan Graves	Andrew Peeke	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Nick Paul	Ryan O'Reilly	Patrick Kane	Aaron Ekblad	Erik Cernak

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Nick Paul	Ryan O'Reilly	Patrick Kane	Aaron Ekblad	Erik Cernak

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ryan O'Reilly, Tyler Seguin, Jean-Gabriel Pageau	Patrick Kane, Anthony Duclair	Jean-Gabriel Pageau

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Aaron Ekblad, Erik Cernak, Dylan Samberg	Aaron Ekblad	Erik Cernak, Dylan Samberg

Penalty Shots
Ryan O'Reilly, Patrick Kane, Tyler Seguin, Anthony Duclair, Andrei Kuzmenko

Goalie
#1 : Igor Shesterkin, #2 : Darcy Kuemper

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score
3	13	GoldenKnights	-	Rangers	-
4	20	Rangers	-	Flyers	-
6	34	Islanders	-	Rangers	-
7	44	Jets	-	Rangers	-
9	57	Devils	-	Rangers	-
11	74	Rangers	-	Devils	-

Depth Chart

Left Wing

Center

Right Wing

Anthony Duclair

AGE:29
SK:		86
EN:		81
DU:		93
PH:		69
PA:		60
SC:		77
DF:		75
Andrei Kuzmenko

AGE:28
SK:		87
EN:		79
DU:		92
PH:		71
PA:		67
SC:		75
DF:		62
Pavel Dorofeyev

AGE:24
SK:		83
EN:		77
DU:		75
PH:		66
PA:		59
SC:		73
DF:		73
Justin Brazeau

AGE:26
SK:		76
EN:		73
DU:		56
PH:		60
PA:		49
SC:		72
DF:		73
Conor Sheary

AGE:32
SK:		81
EN:		73
DU:		82
PH:		56
PA:		56
SC:		56
DF:		74
Zach Sanford

AGE:30
SK:		75
EN:		73
DU:		63
PH:		53
PA:		57
SC:		50
DF:		74
Adam Erne

AGE:29
SK:		75
EN:		67
DU:		60
PH:		48
PA:		43
SC:		53
DF:		58
Ryan Tverberg (R)

AGE:22
SK:		90
EN:		60
DU:		50
PH:		54
PA:		61
SC:		46
DF:		66
Aleksi Heponiemi

AGE:25
SK:		83
EN:		60
DU:		50
PH:		57
PA:		46
SC:		50
DF:		51
Matthew Seminoff (R)

AGE:21
SK:		88
EN:		79
DU:		69
PH:		34
PA:		33
SC:		35
DF:		62

Ryan O'Reilly

AGE:33
SK:		89
EN:		87
DU:		99
PH:		80
PA:		83
SC:		76
DF:		84
Tyler Seguin

AGE:32
SK:		87
EN:		82
DU:		89
PH:		76
PA:		73
SC:		80
DF:		71
Jean-Gabriel Pageau

AGE:32
SK:		83
EN:		81
DU:		99
PH:		62
PA:		62
SC:		61
DF:		79
Colin Blackwell

AGE:31
SK:		81
EN:		79
DU:		73
PH:		56
PA:		47
SC:		65
DF:		83
Nick Bonino

AGE:36
SK:		75
EN:		75
DU:		74
PH:		50
PA:		47
SC:		52
DF:		84
Rory Kerins (R)

AGE:22
SK:		90
EN:		63
DU:		53
PH:		49
PA:		44
SC:		54
DF:		60
Sasha Chmelevski

AGE:25
SK:		82
EN:		60
DU:		50
PH:		62
PA:		45
SC:		50
DF:		50

Patrick Kane

AGE:36
SK:		95
EN:		85
DU:		77
PH:		84
PA:		84
SC:		83
DF:		62
Nick Paul

AGE:29
SK:		80
EN:		84
DU:		99
PH:		68
PA:		62
SC:		74
DF:		71
Cal Clutterbuck

AGE:37
SK:		78
EN:		74
DU:		99
PH:		55
PA:		52
SC:		57
DF:		72
Parker Kelly

AGE:25
SK:		78
EN:		74
DU:		98
PH:		54
PA:		50
SC:		58
DF:		86
Carl Grundstrom

AGE:27
SK:		78
EN:		73
DU:		77
PH:		55
PA:		47
SC:		63
DF:		67
Julien Gauthier

AGE:27
SK:		75
EN:		72
DU:		62
PH:		59
PA:		52
SC:		65
DF:		60
Carson Meyer

AGE:27
SK:		78
EN:		70
DU:		53
PH:		51
PA:		46
SC:		56
DF:		62
Noel Gunler

AGE:23
SK:		76
EN:		60
DU:		50
PH:		49
PA:		46
SC:		51
DF:		50
Alexander Pashin (R)

AGE:22
SK:		75
EN:		60
DU:		50
PH:		34
PA:		30
SC:		37
DF:		50

Defense #1

Defense #2

Goalie

Erik Cernak

AGE:27
SK:		75
EN:		82
DU:		90
PH:		53
PA:		53
SC:		54
DF:		84
Aaron Ekblad

AGE:28
SK:		77
EN:		84
DU:		78
PH:		61
PA:		63
SC:		60
DF:		86
Andrew Peeke

AGE:26
SK:		75
EN:		77
DU:		69
PH:		56
PA:		59
SC:		53
DF:		80
Ryan Graves

AGE:29
SK:		75
EN:		80
DU:		91
PH:		54
PA:		53
SC:		55
DF:		82
Dylan Samberg

AGE:25
SK:		75
EN:		76
DU:		96
PH:		55
PA:		58
SC:		52
DF:		81
Olli Maatta

AGE:30
SK:		77
EN:		77
DU:		92
PH:		56
PA:		56
SC:		57
DF:		77
Matt Benning

AGE:30
SK:		75
EN:		80
DU:		53
PH:		51
PA:		52
SC:		50
DF:		83

Nate Schmidt

AGE:33
SK:		79
EN:		77
DU:		86
PH:		55
PA:		56
SC:		54
DF:		72
Emil Lilleberg (R)

AGE:23
SK:		75
EN:		77
DU:		68
PH:		51
PA:		51
SC:		50
DF:		68
Sam Malinski (R)

AGE:26
SK:		85
EN:		74
DU:		59
PH:		66
PA:		65
SC:		66
DF:		68
Nils Lundkvist

AGE:24
SK:		80
EN:		73
DU:		83
PH:		59
PA:		64
SC:		54
DF:		65
Philippe Myers

AGE:27
SK:		75
EN:		65
DU:		60
PH:		42
PA:		46
SC:		38
DF:		70
Victor Soderstrom

AGE:23
SK:		77
EN:		66
DU:		61
PH:		49
PA:		50
SC:		48
DF:		52
Robin Salo

AGE:26
SK:		75
EN:		72
DU:		67
PH:		41
PA:		43
SC:		39
DF:		50

Igor Shesterkin

AGE:29
SK:		93
AG:		83
RB:		83
SC:		85
HS:		86
RT:		85
DF:		82
Philipp Grubauer

AGE:33
SK:		88
AG:		73
RB:		73
SC:		74
HS:		72
RT:		74
DF:		72
Martin Jones

AGE:34
SK:		85
AG:		74
RB:		75
SC:		76
HS:		74
RT:		76
DF:		75
Darcy Kuemper

AGE:34
SK:		78
AG:		63
RB:		65
SC:		62
HS:		62
RT:		63
DF:		63
Tomas Suchanek (R)

AGE:21
SK:		87
AG:		62
RB:		60
SC:		60
HS:		57
RT:		55
DF:		54

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
Adam Jecho	Rangers	2038	93
Albert Wikman	Rangers	2037	142
Alexander Rykov	Rangers	2037	125
Andrew Strathmann	Rangers	2037	129
Aram Minnetian	Rangers	2037	131
Aron Kiviharju	Rangers	2038	56
Artem Shlaine	Rangers	2034	142
Artur Akhtyamov	Rangers	2034	134
Axel Bergkvist	Rangers	2034	185
Axel Rindell	Rangers	2034	173
Basile Sansonnens	Rangers	2038	201
Carson Bjarnason	Rangers	2037	66
Charlie Forslund	Rangers	2038	170
Christian Kirsch	Rangers	2038	118
Conner Roulette	Rangers	2035	125
Dmitry Gamzin	Rangers	2038	112
Ethan Edwards	Rangers	2034	131
Filip Larsson	Rangers	2033	111
Fraser Minten	Rangers	2036	31
Hunter Laing	Rangers	2038	132
Ivan Zhigalov	Rangers	2036	186
Jack Sparkes	Rangers	2036	194
Joona Saarelainen	Rangers	2038	143
Kevin Reidler	Rangers	2036	163
Kirill Dolzhenkov	Rangers	2036	132
Lucas Mercuri	Rangers	2034	156
Luke Misa	Rangers	2038	63
Matthew Mania	Rangers	2037	155
Miroslav Satan	Rangers	2038	139
Niko Huuhtanen	Rangers	2035	162
Raoul Boilard	Rangers	2038	84
Samu Bau	Rangers	2037	191
Samuel Johannesson	Rangers	2034	162
Theo Wallberg	Rangers	2036	196
Ty Gallagher	Rangers	2035	209
Ty Henricks	Rangers	2037	193
Tyler Peddle	Rangers	2037	160
Valentin Nussbaumer	Rangers	2033	171
William Nicholl	Rangers	2038	212

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2039
2040
2041

Rangers Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Andrej Nedorost	1486	253	409	662	-115	1070	1679	1938	2477	10.21%	894	24828	16.71	54	69	123	310	4	8	12	54	34	20	45.62%	9	0.53	7	40
2	Brandon Bochenski	834	264	301	565	-52	316	665	2065	2214	11.92%	225	15121	18.13	57	92	149	402	8	2	10	54	38	12	52.44%	10	0.75	13	58
3	Brent Burns	398	171	384	555	57	367	589	796	1518	11.26%	567	10198	25.62	119	151	270	975	1	8	9	15	25	11	57.14%	4	1.09	2	3
4	Ryan Kesler	444	233	310	543	102	707	1386	1673	1889	12.33%	171	10519	23.69	73	143	216	495	8	3	11	46	34	12	55.42%	7	1.03	9	50
5	Ryan Johansen	385	127	241	368	50	239	494	1102	1226	10.36%	92	8768	22.77	28	110	138	302	5	7	12	42	11	8	55.62%	3	0.84	10	44

Rangers Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Brian Elliott	373	176	140	31	0.898	3.14	21198	30	16	1108	10882	604	16	5	0.805	149
2	Dwayne Roloson	233	100	113	17	0.906	2.95	13789	14	5	677	7194	2506	7	3	0.759	108
3	Carter Hutton	95	56	29	9	0.909	2.78	5544	2	5	257	2821	0	4	2	0.778	36
4	Petr Mrazek	75	40	26	8	0.902	2.82	4485	23	5	211	2156	0	6	1	0.646	48
5	Juuse Saros	70	40	26	2	0.887	3.34	4007	6	2	223	1982	0	0	0	0.917	12

Rangers Career Team Stats

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
2017	82	27	40	0	2	3	5	5	226	266	-40	41	17	16	0	0	2	2	4	122	128	-6	41	10	24	0	2	1	3	1	104	138	-34	61	226	365	591	0	1	0	43	94	82	2223	0	619	834	754	2456	825	1060	1637	254	40	15.75%	273	49	82.05%	5	857	1765	48.56%	853	1875	45.49%	631	1309	48.20%	1585	801	1938	873	1629	819
2018	82	30	36	0	1	0	9	6	253	229	24	41	16	17	0	1	0	5	2	129	114	15	41	14	19	0	0	0	4	4	124	115	9	62	253	394	647	1	3	0	65	90	88	2504	0	772	905	790	2646	812	1409	2035	213	39	18.31%	276	50	81.88%	6	952	1955	48.70%	1001	2069	48.38%	690	1291	53.45%	1667	906	1793	777	1537	748
2019	82	27	42	0	2	3	5	3	230	268	-38	41	14	19	0	1	3	2	2	112	126	-14	41	13	23	0	1	0	3	1	118	142	-24	61	230	357	587	1	1	0	51	104	68	2517	0	669	986	830	2489	800	916	1812	204	23	11.27%	216	52	75.93%	2	957	2044	46.82%	947	1955	48.44%	575	1198	48.00%	1673	901	1722	775	1572	780
2020	82	35	33	0	1	5	5	3	242	247	-5	41	16	15	0	1	3	3	3	112	121	-9	41	19	18	0	0	2	2	0	130	126	4	77	242	383	625	1	1	0	61	84	91	2492	0	801	797	873	2635	836	998	1848	238	33	13.87%	246	40	83.74%	4	927	2012	46.07%	958	2074	46.19%	574	1230	46.67%	1668	896	1747	780	1555	768
2021	82	17	46	0	0	4	7	8	191	280	-89	41	10	22	0	0	1	4	4	99	133	-34	41	7	24	0	0	3	3	4	92	147	-55	38	191	320	511	2	0	0	64	61	59	2213	0	761	710	713	2728	832	1066	1858	388	57	14.69%	426	97	77.23%	3	1253	2785	44.99%	1409	3134	44.96%	593	1292	45.90%	1852	1244	2103	630	1050	506
2022	82	15	51	0	3	3	4	6	211	324	-113	41	9	25	0	0	2	1	4	102	160	-58	41	6	26	0	3	1	3	2	109	164	-55	39	211	363	574	2	0	0	77	65	62	2392	0	785	772	797	2841	833	1114	1826	405	63	15.56%	448	97	78.35%	2	1470	2952	49.80%	1589	3246	48.95%	673	1337	50.34%	1862	1248	2094	629	1031	502
2023	82	18	46	0	4	0	5	9	210	277	-67	41	10	24	0	1	0	1	5	92	129	-37	41	8	22	0	3	0	4	4	118	148	-30	44	210	369	579	2	1	0	70	67	64	2343	0	739	764	813	2664	757	870	1729	449	66	14.70%	383	77	79.90%	0	1453	2856	50.88%	1451	3096	46.87%	668	1280	52.19%	1897	1290	2050	625	1045	513
2024	82	22	51	0	1	2	4	2	213	294	-81	41	9	28	0	1	1	1	1	108	160	-52	41	13	23	0	0	1	3	1	105	134	-29	58	213	376	589	1	2	0	76	74	58	2213	0	725	749	727	2671	735	1084	1753	400	76	19.00%	452	105	76.77%	5	1447	2740	52.81%	1574	3201	49.17%	702	1318	53.26%	1860	1259	2059	629	1034	501
2025	82	29	36	0	3	2	8	4	302	312	-10	41	19	15	0	1	1	3	2	149	134	15	41	10	21	0	2	1	5	2	153	178	-25	86	302	518	820	2	1	0	107	100	84	2608	0	840	865	881	2833	847	1254	1908	424	93	21.93%	480	112	76.67%	2	1511	2979	50.72%	1557	3217	48.40%	688	1410	48.79%	1879	1265	2063	637	1049	516
2026	82	34	31	0	5	3	3	6	307	300	7	41	17	17	0	1	2	1	3	148	156	-8	41	17	14	0	4	1	2	3	159	144	15	93	307	545	852	3	1	0	116	96	87	2908	0	972	958	940	2695	787	1138	1927	465	120	25.81%	454	110	75.77%	5	1729	3287	52.60%	1558	3101	50.24%	722	1362	53.01%	1983	1349	1959	625	1036	523
2027	82	41	27	0	1	3	7	3	303	252	51	41	21	11	0	1	2	4	2	163	120	43	41	20	16	0	0	1	3	1	140	132	8	104	303	529	832	2	5	0	100	99	96	2750	0	915	867	932	2407	625	962	1785	468	98	20.94%	416	79	81.01%	5	1698	3144	54.01%	1436	2862	50.17%	658	1285	51.21%	2058	1440	1896	612	1023	514
2030	82	35	29	0	2	0	6	10	265	241	24	41	19	13	0	1	0	4	4	137	113	24	41	16	16	0	1	0	2	6	128	128	0	96	265	460	725	1	5	0	87	83	87	2728	0	919	866	909	2441	702	1076	1819	401	78	19.45%	471	90	80.89%	8	1693	3163	53.53%	1549	2971	52.14%	700	1279	54.73%	2047	1411	1916	611	1040	526
2031	82	45	23	0	2	5	5	2	306	235	71	41	22	12	0	2	2	1	2	149	113	36	41	23	11	0	0	3	4	0	157	122	35	111	306	540	846	3	7	0	122	94	83	2863	0	926	936	978	2497	773	892	1802	417	125	29.98%	386	72	81.35%	3	1802	3237	55.67%	1532	2943	52.06%	726	1331	54.55%	2024	1414	1921	604	1028	523
2032	82	37	28	0	3	5	6	3	249	231	18	41	18	15	0	1	2	3	2	128	118	10	41	19	13	0	2	3	3	1	121	113	8	100	249	434	683	1	5	0	85	80	75	2373	0	770	797	777	2472	763	909	1753	399	80	20.05%	384	61	84.11%	7	1470	2925	50.26%	1408	3071	45.85%	611	1283	47.62%	1981	1363	1970	616	1032	515
2033	82	33	33	0	1	5	9	1	247	252	-5	41	15	15	0	1	3	6	1	129	130	-1	41	18	18	0	0	2	3	0	118	122	-4	92	247	434	681	2	5	0	101	73	63	2389	0	826	811	734	2498	739	1044	1855	429	54	12.59%	407	79	80.59%	3	1555	2866	54.26%	1520	2953	51.47%	685	1314	52.13%	2014	1394	1930	616	1037	518
2034	82	24	47	0	2	1	2	6	248	318	-70	41	13	22	0	1	0	1	4	128	159	-31	41	11	25	0	1	1	1	2	120	159	-39	63	248	444	692	2	1	0	79	88	77	2453	0	821	795	819	2728	742	1131	1967	398	82	20.60%	472	101	78.60%	2	1551	2979	52.06%	1462	2977	49.11%	745	1371	54.34%	1946	1334	1990	614	1030	506
2035	82	31	37	0	2	1	3	8	256	280	-24	41	20	14	0	0	0	3	4	132	130	2	41	11	23	0	2	1	0	4	124	150	-26	81	256	449	705	1	2	0	97	76	78	2636	0	871	856	877	2687	710	1015	1877	391	64	16.37%	442	93	78.96%	6	1611	3019	53.36%	1488	3126	47.60%	669	1329	50.34%	1965	1343	1984	611	1035	514
2036	82	18	53	0	4	5	1	1	246	370	-124	41	10	28	0	1	1	0	1	119	174	-55	41	8	25	0	3	4	1	0	127	196	-69	52	246	432	678	2	2	0	97	71	73	2359	0	758	769	817	2959	894	1190	1949	368	75	20.38%	516	125	75.78%	6	1456	2785	52.28%	1519	3018	50.33%	685	1393	49.17%	1755	1159	2156	627	1030	492
2037	82	46	26	0	4	2	2	2	374	269	105	41	26	12	0	0	1	1	1	202	134	68	41	20	14	0	4	1	1	1	172	135	37	108	374	661	1035	1	2	144	107	117	7	3067	1007	955	1080	40	2540	718	1023	1811	412	120	29.13%	414	81	80.43%	2	1717	3169	54.18%	1555	2908	53.47%	776	1435	54.08%	1958	1338	1948	608	1047	524
Total Regular Season	1558	564	715	0	43	52	96	88	4879	5245	-366	779	301	340	0	15	26	46	51	2460	2552	-92	779	263	375	0	28	26	50	37	2419	2693	-274	1426	4879	8373	13252	30	45	144	1605	1616	1382	48031	1007	15444	16117	15001	49887	14730	20151	34951	7123	1386	19.46%	7562	1570	79.24%	76	27109	52662	51.48%	26366	53797	49.01%	12771	25047	50.99%	35683	23366	37248	12506	21849	10817
Playoff
2026	13	6	7	0	0	0	0	0	39	42	-3	6	2	4	0	0	0	0	0	13	18	-5	7	4	3	0	0	0	0	0	26	24	2	12	39	70	109	0	1	0	13	13	9	425	0	134	118	149	480	149	176	301	56	10	17.86%	78	18	76.92%	2	258	495	52.12%	269	547	49.18%	108	209	51.67%	304	203	338	103	171	84
2027	16	8	8	0	0	0	0	0	52	47	5	8	4	4	0	0	0	0	0	23	23	0	8	4	4	0	0	0	0	0	29	24	5	16	52	95	147	0	0	0	20	21	9	536	0	153	169	180	464	147	178	361	98	19	19.39%	78	14	82.05%	1	341	626	54.47%	286	556	51.44%	129	240	53.75%	409	283	400	126	205	101
2031	12	6	6	0	0	0	0	0	42	45	-3	6	3	3	0	0	0	0	0	18	22	-4	6	3	3	0	0	0	0	0	24	23	1	12	42	75	117	0	0	0	15	15	10	353	0	99	126	113	406	103	132	262	62	17	27.42%	62	10	83.87%	0	231	421	54.87%	233	452	51.55%	108	217	49.77%	293	203	304	93	154	76
2032	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	3	7	-4	0	6	10	16	1	0	0	1	3	2	103	0	25	40	38	149	45	36	106	16	1	6.25%	18	2	88.89%	0	61	132	46.21%	78	171	45.61%	22	56	39.29%	85	58	107	29	46	21
2033	12	5	7	0	0	0	0	0	39	43	-4	7	4	3	0	0	0	0	0	28	21	7	5	1	4	0	0	0	0	0	11	22	-11	10	39	69	108	0	1	0	17	9	13	396	0	134	132	130	398	109	155	268	55	14	25.45%	70	13	81.43%	3	232	447	51.90%	252	468	53.85%	99	188	52.66%	270	183	303	90	146	70
2037	5	1	4	0	0	0	0	0	11	22	-11	2	1	1	0	0	0	0	0	9	8	1	3	0	3	0	0	0	0	0	2	14	-12	2	11	22	33	0	0	3	4	4	0	132	39	42	51	0	181	53	60	101	14	2	14.29%	28	6	78.57%	0	88	156	56.41%	94	196	47.96%	38	80	47.50%	100	65	134	39	65	30
Total Playoff	62	26	36	0	0	0	0	0	189	214	-25	31	14	17	0	0	0	0	0	94	100	-6	31	12	19	0	0	0	0	0	95	114	-19	52	189	341	530	1	2	3	70	65	43	1945	39	587	636	610	2078	606	737	1399	301	63	20.93%	334	63	81.14%	6	1211	2277	53.18%	1212	2390	50.71%	504	990	50.91%	1464	997	1588	484	790	385

Rangers Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Brent Burns	45	18	42	60	7	52	78	88	132	13.64%	77	1165	25.89	11	17	28	85	1	1	2	1	3	0	0.00%	0	1.03
2	Ryan Johansen	45	17	27	44	-3	23	44	122	149	11.41%	11	1024	22.76	6	10	16	28	1	0	1	3	4	0	56.18%	1	0.86
3	Ryan Kesler	41	13	30	43	2	54	148	169	187	6.95%	25	1048	25.57	7	10	17	66	0	1	1	5	2	0	54.37%	0	0.82
4	Justin Williams	45	7	14	21	-8	10	22	51	84	8.33%	1	815	18.12	4	4	8	26	0	1	1	0	1	0	36.84%	0	0.51
5	Nick Holden	45	6	15	21	-3	57	125	40	78	7.69%	45	954	21.20	2	4	6	36	0	0	0	2	0	1	0.00%	0	0.44

Rangers Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A
1	Brian Elliott	32	17	9	4	0.905	2.95	1911	4	1	94	992	1
2	Frederik Andersen	12	5	7	0	0.892	3.59	718	0	1	43	398	0
3	Mikko Koskinen	7	2	4	1	0.897	3.43	420	0	0	24	234	0
4	Cam Ward	3	1	2	0	0.821	4.74	152	0	0	12	67	0
5	Juuse Saros	5	1	3	0	0.894	3.72	274	0	0	17	160	0