Iowa Heartlanders
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Injury / Suspension
Web Roster Editor
Web Lines Editor

Game Center
	New York Rangers 3-2-0, 9pts	3	FINAL	1	New York Islanders 3-2-0, 9pts

Team Stats
L1	Streak	W1
1-1-0	Home Record	2-1-0
2-1-0	Away Record	1-1-0
3-2-0	Last 10 Games	3-2-0
2.40	Goals Per Game	2.20
2.60	Goals Against Per Game	2.20
17.39%	Power Play Percentage	28.57%
78.26%	Penalty Kill Percentage	82.61%

New York Rangers
3-2-0, 9pts

FINAL

Chicago Blackhawks
1-2-2, 5pts

Team Stats
L1	Streak	W1
1-1-0	Home Record	1-0-1
2-1-0	Away Record	0-2-1
3-2-0	Last 10 Games	1-2-2
2.40	Goals Per Game	2.20
2.60	Goals Against Per Game	2.60
17.39%	Power Play Percentage	14.29%
78.26%	Penalty Kill Percentage	86.96%

Philadelphia Flyers
3-2-0, 7pts

Day 12

New York Rangers
3-2-0, 9pts

Team Stats
L1	Streak	L1
2-1-0	Home Record	1-1-0
1-1-0	Away Record	2-1-0
3-2-0	Last 10 Games	3-2-0
2.80	Goals Per Game	2.40
2.20	Goals Against Per Game	2.40
15.63%	Power Play Percentage	17.39%
80.95%	Penalty Kill Percentage	78.26%

Team Leaders
	Goals Clayton Keller 2	Assists Mika Zibanejad 3

	Points Clayton Keller 4	Plus/Minus Gabriel Vilardi 2

	Wins Martin Jones 3	Save Percentage Martin Jones 0.937

Team Stats
Goals For 12 2.40 GFG	Shots For 143 28.60 Avg	Power Play Percentage 17.4% 4 GF	Offensive Zone Start 40.2%
Goals Against 13 2.60 GAA	Shots Against 164 32.80 Avg	Penalty Kill Percentage 78.3%% 5 GA	Defensive Zone Start 38.9%

Team Info
	General Manager	Corey
	Division	Atlantic Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	Madison Square Garden
	Capacity	18,000
	Attendance	0
	Season Tickets	7,200
Roster Info
	Pro Team	21
	Farm Team	27
	Contract Limit	48 / 250
	Prospects	98
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	166,257,871$
	Projected Bank Account	166,257,871$

Show or Hide Columns

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	TA	SP	Age	Contract	Salary
1	Mika Zibanejad	0	X				99.00	89	49	88	90	71	91	96	91	99	86	90	73	82	80	83	55	40	82	N	0	32	2	13,000,000$
2	Clayton Keller	0		X			99.00	67	35	88	99	55	97	99	90	76	90	90	65	88	73	74	55	40	81		0	26	3	7,366,667$
3	Mikko Rantanen	0		X			99.00	74	52	83	81	85	90	90	91	74	90	90	74	83	77	73	55	40	81		0	28	1	5,910,000$
4	Patrik Laine	0			X		99.00	91	51	87	86	80	94	92	90	72	90	90	67	87	74	81	55	40	81		0	27	2	10,000,000$
5	Dylan Strome	0	X				100.00	63	50	89	84	77	89	91	84	89	87	90	70	79	77	79	55	40	79		0	28	1	4,900,000$
6	Tage Thompson	0			X		100.00	71	57	80	79	95	91	92	85	79	80	91	70	85	74	82	55	40	79		0	27	2	5,910,000$
7	Filip Chytil	0		X			100.00	70	55	85	85	80	90	90	83	83	83	83	72	82	71	75	55	40	78		0	25	4	5,910,000$
8	Gabriel Vilardi	0	X				100.00	67	54	86	90	80	90	90	83	94	85	84	71	80	71	70	55	40	78		0	25	4	5,910,000$
9	Tomas Hertl	0	X				100.00	81	50	84	76	80	90	90	78	94	81	83	72	74	80	81	55	40	77		0	31	2	1,670,000$
10	Alexis Lafreniere (R)	0		X			100.00	80	42	80	80	80	87	87	69	60	76	71	62	71	68	78	55	40	71		0	23	3	2,000,000$
11	Matvei Michkov (R)	0			X		100.00	53	35	78	97	58	86	79	76	67	78	78	55	80	60	60	55	40	71		0	20	3	2,000,000$
12	Jimmy Vesey	0		X			100.00	77	46	75	69	72	82	84	66	70	68	69	67	68	80	78	55	40	69		0	32	1	625,000$
13	Rem Pitlick	0	X				100.00	54	46	77	77	65	80	89	69	71	73	69	71	71	77	62	55	40	69		0	28	2	624,000$
14	Nikita Zadorov	0				X	98.00	99	62	91	78	99	99	99	76	74	82	68	88	66	79	85	55	40	83	N	0	30	3	2,000,000$
15	Evan Bouchard	0				X	99.00	66	45	86	95	80	92	99	82	50	93	73	89	76	73	79	55	40	82		0	25	1	3,825,000$
16	Brady Skjei	0				X	99.00	90	51	77	74	91	89	90	74	50	82	65	75	68	80	80	55	40	76		0	31	2	3,000,000$
17	Brian Dumoulin	0				X	99.00	68	49	89	68	95	87	90	70	70	72	64	80	62	81	85	55	40	75		0	33	1	3,000,000$
18	Derrick Pouliot	0				X	100.00	55	47	91	74	80	78	82	71	50	74	66	78	65	80	75	55	40	72		0	31	2	1,600,000$
Scratches
1	Sami Niku	0				X	79.83	60	38	90	99	77	89	88	77	56	81	75	84	77	77	77	55	40	79		0	28	1	4,900,000$
Farm Team
1	Ronalds Kenins	0			X		96.00	81	48	71	65	71	75	74	63	60	67	65	65	65	82	70	55	40	66		0	34	1	500,000$
2	Joel L'Esperance	0		X			97.00	63	53	73	62	81	72	74	64	66	62	67	69	65	78	65	55	40	65		0	29	1	624,000$
3	Joseph Cramarossa	0			X		100.00	85	46	64	70	70	72	70	61	60	63	65	65	65	80	59	55	40	65		0	32	2	500,000$
4	Oskar Back	0	X				95.00	53	47	82	66	80	77	77	60	74	65	62	64	62	73	83	55	40	65		0	25	3	600,000$
5	Daniel Catenacci	0		X			100.00	57	19	81	68	65	74	72	61	60	64	65	67	64	72	67	55	40	64		0	32	1	625,000$
6	Nicholas Abruzzese	0		X			100.00	54	35	79	80	55	67	75	60	60	58	60	70	65	70	67	55	40	64		0	26	1	500,000$
7	Seth Griffith	0			X		100.00	58	46	74	71	59	74	71	62	62	67	64	64	64	80	64	55	40	64		0	32	1	625,000$
8	Noah Philp	0	X				100.00	51	42	77	69	75	66	66	60	68	61	59	65	62	75	75	55	40	63		0	26	1	500,000$
9	Ben Jones	0	X				100.00	58	50	71	72	66	65	65	60	68	56	59	65	62	75	75	55	40	62		0	26	1	500,000$
10	Ben Meyers	0	X				100.00	50	42	74	70	70	64	64	60	68	56	59	68	62	75	75	55	40	62		0	26	1	500,000$
11	Joachim Blichfeld	0			X		100.00	51	10	35	78	65	64	57	60	50	56	61	71	65	62	57	90	40	62		0	26	1	500,000$
12	Tye Felhaber	0		X			100.00	50	40	79	73	61	58	58	55	50	56	59	68	61	75	75	55	40	61		0	26	1	500,000$
13	Radim Simek	0				X	98.00	86	49	78	69	76	78	77	68	50	70	65	69	61	80	81	55	40	71		0	32	1	625,000$
14	Uvis Balinskis	0				X	96.00	66	44	78	72	72	71	80	63	50	64	60	72	59	77	68	55	40	68		0	28	2	500,000$
15	Andrei Mironov	0				X	100.00	72	15	57	81	68	65	64	64	50	65	60	68	63	66	61	79	40	66		0	30	1	500,000$
16	Ben Hutton	0				X	100.00	53	55	69	68	86	74	78	61	50	64	59	68	57	80	68	55	40	66		0	32	1	625,000$
17	Ryan Sproul	0				X	100.00	51	49	77	67	85	69	69	62	50	65	60	65	56	80	74	55	40	65		0	32	1	625,000$
18	Mike Vecchione	0	X				100.00	54	43	75	69	49	66	61	61	75	58	61	66	62	80	63	55	40	61		0	32	1	625,000$
19	Gustav Olofsson	0				X	87.67	53	46	71	73	63	68	70	66	50	69	62	72	60	79	68	55	40	66		0	30	3	500,000$
20	Jimmy Schuldt	0				X	100.00	51	45	84	68	82	67	67	60	50	56	59	67	56	79	89	55	40	65		0	30	1	500,000$
21	Tyler Lewington	0				X	100.00	77	72	39	74	70	60	60	60	50	56	59	66	58	76	62	75	40	64		0	30	1	500,000$
22	Brady Keeper	0				X	100.00	52	15	84	78	55	64	63	59	50	56	59	69	59	63	58	85	40	62		0	29	1	624,000$

	TEAM AVERAGE						98.55	66	45	77	77	74	78	79	70	65	71	69	70	68	75	73	58	40	70

Show or Hide Columns

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	Martin Jones	0	99.00	81	75	75	86	83	84	85	83	83	84	83	84	69	55	40	80	0	35	1	5,000,000$
2	Sergei Bobrovsky	0	98.00	81	83	83	82	81	84	84	81	81	84	82	85	70	55	40	79	0	36	1	5,000,000$
Scratches
Farm Team
1	JUHA JATKOLA	0	99.00	81	60	60	76	78	73	74	77	77	74	75	62	56	52	40	71	0	22	1	250,000$
2	JOEL LASSINANTTI	0	99.00	62	60	60	68	76	76	77	75	75	76	75	78	64	52	40	70	0	32	1	258,000$
3	Andrey Makarov	0	90.15	80	58	58	80	76	73	74	76	77	73	74	78	64	84	40	72	0	32	1	625,000$
4	HUNTER SHEPARD	0	100.00	66	60	60	72	74	76	77	77	77	76	77	70	59	50	40	70	0	29	1	259,000$
5	JACOB JOHANSSON	0	100.00	52	60	60	78	74	75	76	74	74	75	74	76	64	52	40	70	0	31	1	259,000$

	TEAM AVERAGE		97.88	72	65	65	77	77	77	78	78	78	77	77	76	64	57	40	73

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

Show or Hide Columns

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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	FW	S1	S2	S3
1	Clayton Keller	New York Rangers	LW	5	2	2	4	0	4	0	7	7	21	2	12	9.52%	3	97	19.42	2	1	3	5	20	0	0	0	1	30.00%	10	6	1	0.82	0	0	0	0
2	Mika Zibanejad	New York Rangers	C	5	1	3	4	0	4	0	10	8	11	7	16	9.09%	3	104	20.97	0	2	2	2	20	0	6	0	0	49.62%	133	1	1	0.76	0	0	0	0
3	Patrik Laine	New York Rangers	RW	5	2	2	4	0	4	0	12	8	16	4	12	12.50%	3	95	19.20	1	2	3	3	20	0	0	2	0	60.00%	20	2	1	0.83	0	0	0	1
4	Dylan Strome	New York Rangers	C	5	2	1	3	-1	0	0	2	3	11	1	7	18.18%	2	53	10.64	0	0	0	0	1	0	13	1	0	61.54%	13	0	1	1.13	0	0	1	0
5	Gabriel Vilardi	New York Rangers	C	5	2	1	3	2	0	0	6	7	13	6	9	15.38%	0	77	15.41	0	0	0	3	16	0	0	0	0	42.86%	49	2	1	0.78	0	1	0	0
6	Mikko Rantanen	New York Rangers	LW	5	1	2	3	1	4	0	11	10	14	1	11	7.14%	4	97	19.55	1	0	1	4	16	1	18	0	1	50.00%	8	3	2	0.61	0	0	0	1
7	Evan Bouchard	New York Rangers	D	5	0	2	2	-1	0	0	6	3	3	2	5	0%	11	111	22.24	0	1	1	1	14	0	15	0	0	0%	0	2	4	0.36	0	0	0	0
8	Jimmy Vesey	New York Rangers	LW	5	1	1	2	0	2	0	8	2	2	0	0	50.00%	1	35	7.14	0	0	0	0	0	0	0	0	0	0%	2	0	0	1.12	0	0	0	1
9	Nikita Zadorov	New York Rangers	D	5	0	2	2	0	2	0	16	5	5	1	5	0%	12	139	27.87	0	1	1	2	22	0	20	0	0	0%	0	3	8	0.29	0	0	1	0
10	Tage Thompson	New York Rangers	RW	5	1	1	2	2	10	0	3	9	10	3	9	10.00%	2	77	15.58	0	1	1	1	16	0	0	0	0	66.67%	3	2	3	0.51	0	0	0	0
11	Alexis Lafreniere	New York Rangers	LW	5	0	1	1	0	2	0	9	4	3	0	6	0%	3	48	9.66	0	0	0	0	1	0	7	0	0	0%	0	1	0	0.41	0	0	0	0
12	Derrick Pouliot	New York Rangers	D	5	0	1	1	1	0	0	1	2	1	0	1	0%	0	60	12.07	0	0	0	0	7	0	3	0	0	0%	0	0	2	0.33	0	0	0	0
13	Sami Niku	New York Rangers	D	4	0	1	1	0	4	0	4	8	1	2	4	0%	9	107	26.80	0	0	0	0	19	0	15	0	0	0%	0	2	3	0.19	0	0	0	0
14	Brady Skjei	New York Rangers	D	5	0	0	0	-2	21	5	8	7	4	3	0	0%	2	102	20.40	0	0	0	0	11	0	12	0	0	0%	0	1	4	0	1	0	0	0
15	Brian Dumoulin	New York Rangers	D	5	0	0	0	2	0	0	1	7	2	1	1	0%	1	76	15.36	0	0	0	0	1	0	9	0	0	0%	0	0	3	0	0	0	0	0
16	Filip Chytil	New York Rangers	LW	5	0	0	0	-1	0	0	7	2	4	3	2	0%	3	58	11.67	0	0	0	0	0	0	10	0	0	100.00%	1	2	1	0	0	0	0	0
17	Matvei Michkov	New York Rangers	RW	5	0	0	0	-2	2	0	1	1	15	2	2	0%	0	48	9.68	0	0	0	0	1	0	0	0	0	33.33%	3	2	2	0	0	0	0	0
18	Tomas Hertl	New York Rangers	C	5	0	0	0	-1	2	0	10	7	7	1	1	0%	0	69	13.84	0	0	0	0	0	1	19	0	0	40.74%	54	2	2	0	0	0	0	0
Team Total or Average				89	12	20	32	0	61	5	122	100	143	39	103	8.39%	59	1460	16.41	4	8	12	21	190	2	152	3	2	47.30%	296	31	39	0.44	1	1	2	3

Show or Hide Columns

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	PCT	GAA	MP	GA	SA	SAR	A	PS %	ST	BG	S1
1	Martin Jones	New York Rangers	4	3	1	0.937	2.00	240	8	126	64	1	0	4	1	1
2	Sergei Bobrovsky	New York Rangers	1	0	1	0.868	5.00	60	5	38	16	1	0	1	4	0
Team Total or Average			5	3	2	0.921	2.60	300	13	164	80	2		5	5	1

Show or Hide Columns

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Alexis Lafreniere	New York Rangers	LW	23	2001-10-11	CAN	Yes	195 Lbs	6 ft1	No	No	Draft	No	No	3	2025-11-02	False	False	Pro & Farm	2,000,000$	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Brady Skjei (1 Way Contract)	New York Rangers	D	31	1994-03-26	USA	No	209 Lbs	6 ft3	No	No	Free Agent	No	No	2	2025-10-20	False	False	Pro & Farm	3,000,000$	3,000,000$	0$	0$	No	3,000,000$	-	-	-	-	-	-	-	-	3,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Brian Dumoulin (1 Way Contract)	New York Rangers	D	33	1991-09-06	USA	No	207 Lbs	6 ft4	No	No	Free Agent	No	No	1	2025-10-13	False	False	Pro & Farm	3,000,000$	3,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Clayton Keller (1 Way Contract)	New York Rangers	LW	26	1998-07-29	USA	No	179 Lbs	5 ft10	No	No	Assign Manually	No	No	3	2025-09-30	False	False	Pro & Farm	7,366,667$	7,366,667$	0$	0$	No	7,366,667$	7,366,667$	-	-	-	-	-	-	-	7,366,667$	7,366,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Derrick Pouliot	New York Rangers	D	31	1994-01-16	CAN	No	196 Lbs	6 ft0	No	No	Free Agent	No	No	2	2025-10-13	False	False	Pro & Farm	1,600,000$	1,600,000$	0$	0$	No	1,600,000$	-	-	-	-	-	-	-	-	1,600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Dylan Strome	New York Rangers	C	28	1997-03-07	CAN	No	201 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2025-09-30	False	False	Pro & Farm	4,900,000$	4,900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Evan Bouchard (1 Way Contract)	New York Rangers	D	25	1999-10-20	CAN	No	194 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2025-09-30	False	False	Pro & Farm	3,825,000$	3,825,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Filip Chytil (1 Way Contract)	New York Rangers	LW	25	1999-09-05	CZE	No	209 Lbs	6 ft3	No	No	Free Agent	No	No	4	2025-10-10	False	False	Pro & Farm	5,910,000$	5,910,000$	0$	0$	No	5,910,000$	5,910,000$	5,910,000$	-	-	-	-	-	-	5,910,000$	5,910,000$	5,910,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Gabriel Vilardi (1 Way Contract)	New York Rangers	C	25	1999-08-16	CAN	No	216 Lbs	6 ft3	No	No	Free Agent	No	No	4	2025-10-10	False	False	Pro & Farm	5,910,000$	5,910,000$	0$	0$	No	5,910,000$	5,910,000$	5,910,000$	-	-	-	-	-	-	5,910,000$	5,910,000$	5,910,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Jimmy Vesey	New York Rangers	LW	32	1993-05-26	USA	No	203 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2025-09-30	False	False	Pro & Farm	625,000$	625,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Martin Jones (1 Way Contract)	New York Rangers	G	35	1990-01-10	CAN	No	203 Lbs	6 ft5	No	No	Free Agent	No	No	1	2025-10-03	False	False	Pro & Farm	5,000,000$	5,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matvei Michkov	New York Rangers	RW	20	2004-12-09	RUS	Yes	172 Lbs	5 ft10	No	No	Free Agent	No	No	3	2025-10-17	False	False	Pro & Farm	2,000,000$	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Mika Zibanejad (1 Way Contract)	New York Rangers	C	32	1993-04-18	SWE	No	201 Lbs	6 ft2	Yes	No	Free Agent	No	No	2	2025-10-10	False	False	Pro Only	13,000,000$	13,000,000$	0$	0$	No	13,000,000$	-	-	-	-	-	-	-	-	13,000,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	Link
Mikko Rantanen (1 Way Contract)	New York Rangers	LW	28	1996-10-29	FIN	No	216 Lbs	6 ft4	No	No	Free Agent	No	No	1	2025-10-10	False	False	Pro & Farm	5,910,000$	5,910,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Nikita Zadorov (1 Way Contract)	New York Rangers	D	30	1995-04-16	RUS	No	236 Lbs	6 ft6	Yes	No	Assign Manually	No	No	3	2025-09-30	False	False	Pro Only	2,000,000$	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-	Link
Patrik Laine (1 Way Contract)	New York Rangers	RW	27	1998-04-19	FIN	No	216 Lbs	6 ft5	No	No	Assign Manually	No	No	2	2025-09-30	False	False	Pro & Farm	10,000,000$	10,000,000$	0$	0$	No	10,000,000$	-	-	-	-	-	-	-	-	10,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Rem Pitlick	New York Rangers	C	28	1997-04-02	CAN	No	196 Lbs	5 ft11	No	No	Free Agent	No	No	2	2025-11-01	False	False	Pro & Farm	624,000$	624,000$	0$	0$	No	624,000$	-	-	-	-	-	-	-	-	624,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Sami Niku (Out of Payroll)	New York Rangers	D	28	1996-10-10	FIN	No	176 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2025-09-30	False	False	Pro & Farm	4,900,000$	4,900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Sergei Bobrovsky (1 Way Contract)	New York Rangers	G	36	1988-09-20	RUS	No	183 Lbs	6 ft2	No	No	Free Agent	No	No	1	2025-10-06	False	False	Pro & Farm	5,000,000$	5,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tage Thompson (1 Way Contract)	New York Rangers	RW	27	1997-10-30	USA	No	220 Lbs	6 ft6	No	No	Free Agent	No	No	2	2025-10-10	False	False	Pro & Farm	5,910,000$	5,910,000$	0$	0$	No	5,910,000$	-	-	-	-	-	-	-	-	5,910,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Tomas Hertl	New York Rangers	C	31	1993-11-12	CZE	No	214 Lbs	6 ft3	No	No	Assign Manually	No	No	2	2025-09-30	False	False	Pro & Farm	1,670,000$	1,670,000$	0$	0$	No	1,670,000$	-	-	-	-	-	-	-	-	1,670,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	28.62	202 Lbs	6 ft2	2.00	4,483,365$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
94,150,667$	60,990,667$	25,186,667$	11,820,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Clayton Keller	Mika Zibanejad	Patrik Laine	40	0	2	3
2	Mikko Rantanen	Gabriel Vilardi	Tage Thompson	30	0	2	3
3	Filip Chytil	Tomas Hertl	Matvei Michkov	20	0	2	3
4	Alexis Lafreniere	Dylan Strome	Jimmy Vesey	10	0	2	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brian Dumoulin	Nikita Zadorov	50	0	3	2
2	Evan Bouchard	Brady Skjei	50	0	3	2
3	Evan Bouchard	Derrick Pouliot	0	0	3	2
4	Brian Dumoulin	Nikita Zadorov	0	0	3	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Clayton Keller	Mika Zibanejad	Patrik Laine	60	0	0	5
2	Mikko Rantanen	Gabriel Vilardi	Tage Thompson	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Derrick Pouliot	Nikita Zadorov	60	0	2	3
2	Evan Bouchard	Brady Skjei	40	0	2	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tomas Hertl	Mikko Rantanen	60	1	3	1
2	Dylan Strome	Filip Chytil	40	1	3	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brian Dumoulin	Nikita Zadorov	60	1	3	1
2	Evan Bouchard	Brady Skjei	40	1	3	1

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Tomas Hertl	60	1	4	0	Brian Dumoulin	Nikita Zadorov	60	1	4	0
2	Dylan Strome	40	1	4	0	Evan Bouchard	Brady Skjei	40	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mika Zibanejad	Clayton Keller	60	0	2	3
2	Gabriel Vilardi	Patrik Laine	40	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brian Dumoulin	Derrick Pouliot	60	0	2	3
2	Evan Bouchard	Brady Skjei	40	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Clayton Keller	Mika Zibanejad	Patrik Laine	Evan Bouchard	Nikita Zadorov

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Mikko Rantanen	Tomas Hertl	Dylan Strome	Evan Bouchard	Nikita Zadorov

Extra Forwards
Normal	PowerPlay	Penalty Kill
Tomas Hertl, Filip Chytil, Matvei Michkov	Matvei Michkov, Dylan Strome	Mika Zibanejad

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Brian Dumoulin, Evan Bouchard, Brady Skjei	Derrick Pouliot	Brian Dumoulin, Derrick Pouliot

Penalty Shots
Clayton Keller, Patrik Laine, Tage Thompson, Mikko Rantanen, Mika Zibanejad

Goalie
#1 : Sergei Bobrovsky, #2 : Martin Jones

Custom OT Lines Forwards
Mika Zibanejad, Clayton Keller, Gabriel Vilardi, Patrik Laine, Mikko Rantanen, Dylan Strome, Tage Thompson, Tomas Hertl, Filip Chytil, Matvei Michkov

Custom OT Lines Defensemen
Nikita Zadorov, Evan Bouchard, Brady Skjei, Brian Dumoulin, Derrick Pouliot

Show or Hide Columns

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
1	Chicago Blackhawks	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	5	-2	3	0.500	6	10	16	0	0	0	3	3	0	55	21	17	17	0	73	20	18	57	8	1	12.50%	9	3	66.67%	0	54	119	45.38%	58	115	50.43%	28	62	45.16%	42	23	45	17	31	16
2	New York Islanders	2	1	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	0	3	-3	1	1	0	0	0	0	0	0	3	1	2	3	0.500	3	5	8	0	0	2	1	0	0	58	22	15	21	0	62	25	25	45	8	1	12.50%	5	1	80.00%	0	54	119	45.38%	58	115	50.43%	28	62	45.16%	44	26	43	18	32	16
3	Philadelphia Flyers	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	3	1.000	3	5	8	0	0	1	2	0	0	30	8	9	13	0	29	14	18	20	7	2	28.57%	9	1	88.89%	0	54	119	45.38%	58	115	50.43%	28	62	45.16%	21	12	23	9	15	6
	Total	5	3	2	0	0	0	0	0	12	13	-1	2	1	1	0	0	0	0	0	3	5	-2	3	2	1	0	0	0	0	0	9	8	1	9	0.600	12	20	32	0	0	3	6	3	0	143	51	41	51	0	164	59	61	122	23	4	17.39%	23	5	78.26%	0	54	119	45.38%	58	115	50.43%	28	62	45.16%	108	62	111	45	79	39
	_Since Last GM Reset	5	3	2	0	0	0	0	0	12	13	-1	2	1	1	0	0	0	0	0	3	5	-2	3	2	1	0	0	0	0	0	9	8	1	9	0.600	12	20	32	0	0	3	6	3	0	143	51	41	51	0	164	59	61	122	23	4	17.39%	23	5	78.26%	0	54	119	45.38%	58	115	50.43%	28	62	45.16%	108	62	111	45	79	39
	_Vs Conference	3	2	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	0	3	-3	2	2	0	0	0	0	0	0	6	3	3	6	0.667	6	10	16	0	0	3	3	0	0	88	30	24	34	0	91	39	43	65	15	3	20.00%	14	2	85.71%	0	54	119	45.38%	58	115	50.43%	28	62	45.16%	65	39	66	27	48	23
	_Vs Division	2	1	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	0	3	-3	1	1	0	0	0	0	0	0	3	1	2	3	0.500	3	5	8	0	0	2	1	0	0	58	22	15	21	0	62	25	25	45	8	1	12.50%	5	1	80.00%	0	54	119	45.38%	58	115	50.43%	28	62	45.16%	44	26	43	18	32	16

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
5	9	L1	12	20	32	143	164	59	61	122	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	2	0	0	0	0	12	13

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

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	9	8

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	2	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
23	4	17.39%	23	5	78.26%	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
51	41	51	0	3	6	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 %
54	119	45.38%	58	115	50.43%	28	62	45.16%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
108	62	111	45	79	39

Last Played Games Show or Hide Columns

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	Link
2	12	New York Rangers	3	Philadelphia Flyers	2	W	BoxScore
4	25	Chicago Blackhawks	2	New York Rangers	3	W	BoxScore
6	39	New York Islanders	3	New York Rangers	0	L	BoxScore
8	54	New York Rangers	3	New York Islanders	1	W	BoxScore
10	67	New York Rangers	3	Chicago Blackhawks	5	L	BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
12	82	Philadelphia Flyers	-	New York Rangers	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	5940	4860	1980	3960	1260
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	Capacity	Team Popularity
1	0 - 0.00%	0$	0$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
0$	90,276,667$	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$	3	0$	0$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
0$	166,257,871$	166,257,871$

Depth Chart

Left Wing

Center

Right Wing

Clayton Keller	AGE:26	PO:55	OV:81
Mikko Rantanen	AGE:28	PO:55	OV:81
Filip Chytil	AGE:25	PO:55	OV:78
Alexis Lafreniere (R)	AGE:23	PO:55	OV:71
Jimmy Vesey	AGE:32	PO:55	OV:69
Joel L'Esperance	AGE:29	PO:55	OV:65
Daniel Catenacci	AGE:32	PO:55	OV:64
Nicholas Abruzzese	AGE:26	PO:55	OV:64
Tye Felhaber	AGE:26	PO:55	OV:61

Mika Zibanejad	AGE:32	PO:55	OV:82
Dylan Strome	AGE:28	PO:55	OV:79
Gabriel Vilardi	AGE:25	PO:55	OV:78
Tomas Hertl	AGE:31	PO:55	OV:77
Rem Pitlick	AGE:28	PO:55	OV:69
Oskar Back	AGE:25	PO:55	OV:65
Noah Philp	AGE:26	PO:55	OV:63
Ben Jones	AGE:26	PO:55	OV:62
Ben Meyers	AGE:26	PO:55	OV:62
Mike Vecchione	AGE:32	PO:55	OV:61

Patrik Laine	AGE:27	PO:55	OV:81
Tage Thompson	AGE:27	PO:55	OV:79
Matvei Michkov (R)	AGE:20	PO:55	OV:71
Ronalds Kenins	AGE:34	PO:55	OV:66
Joseph Cramarossa	AGE:32	PO:55	OV:65
Seth Griffith	AGE:32	PO:55	OV:64
Joachim Blichfeld	AGE:26	PO:90	OV:62

Defense #1

Defense #2

Goalie

Nikita Zadorov	AGE:30	PO:55	OV:83
Evan Bouchard	AGE:25	PO:55	OV:82
Sami Niku	AGE:28	PO:55	OV:79
Brady Skjei	AGE:31	PO:55	OV:76
Brian Dumoulin	AGE:33	PO:55	OV:75
Derrick Pouliot	AGE:31	PO:55	OV:72
Radim Simek	AGE:32	PO:55	OV:71
Uvis Balinskis	AGE:28	PO:55	OV:68

Andrei Mironov	AGE:30	PO:79	OV:66
Ben Hutton	AGE:32	PO:55	OV:66
Gustav Olofsson	AGE:30	PO:55	OV:66
Jimmy Schuldt	AGE:30	PO:55	OV:65
Ryan Sproul	AGE:32	PO:55	OV:65
Tyler Lewington	AGE:30	PO:75	OV:64
Brady Keeper	AGE:29	PO:85	OV:62

Martin Jones	AGE:35	PO:55	OV:80
Sergei Bobrovsky	AGE:36	PO:55	OV:79
Andrey Makarov	AGE:32	PO:84	OV:72
JUHA JATKOLA	AGE:22	PO:52	OV:71
JACOB JOHANSSON	AGE:31	PO:52	OV:70
JOEL LASSINANTTI	AGE:32	PO:52	OV:70
HUNTER SHEPARD	AGE:29	PO:50	OV:70

Prospects

Show or Hide Columns

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	Information	Link
0x LTCs	New York Rangers	0	0
0x RFA Tag (Clayton Keller Y28)	New York Rangers	0	0
1x NSHL25 ODW Claim	New York Rangers	0	0
37x TC PTS	New York Rangers	0	0
Adam Kleber	New York Rangers	24	71	0	Link
Alexander Rykov	New York Rangers	23	139	0	Link
Alexander Suzdalev	New York Rangers	22	117	0	Link
Anton Wahlberg	New York Rangers	23	51	0	Link
Arttu Karki	New York Rangers	23	77	0	Link
Artyum Duda	New York Rangers	22	98	0	Link
Atte Joki	New York Rangers	25	194	0	Link
Beckett Hendrickson	New York Rangers	23	137	0	Link
Benjamin Rautiainen	New York Rangers	25	99	0	Link
Bogdan Konyushkov	New York Rangers	23	141	0	Link
Brad Gardiner	New York Rangers	23	111	0	Link
Bradly Nadeau	New York Rangers	23	30	0	Link
Brett Pollock	New York Rangers	14	76	0	Link
Caden Price	New York Rangers	23	114	0	Link
Calum Ritchie	New York Rangers	23	27	0	Link
Carson Bjarnason	New York Rangers	23	52	0	Link
Carson Rehkopf	New York Rangers	23	83	0	Link
Carter George	New York Rangers	24	46	0	Link
Carter Klippenstein	New York Rangers	25	145	0	Link
Charlie Cerrato	New York Rangers	25	42	0	Link
Charlie Trethewey	New York Rangers	25	71	0	Link
Coulson Pitre	New York Rangers	23	97	0	Link
Danila Klimovich	New York Rangers	21	38	0	Link
Dmitri Buchelnikov	New York Rangers	22	50	0	Link
Dmitry Kuzmin	New York Rangers	21	101	0	Link
Easton Cowan	New York Rangers	23	42	0	Link
Elijah Neuenschwander	New York Rangers	25	93	0	Link
Evan Fitzpatrick	New York Rangers	16	81	0	Link
Felix Unger-Sorum	New York Rangers	23	73	0	Link
Gabriel Eliasson	New York Rangers	24	90	0	Link
Gabriel Fortier	New York Rangers	18	68	0	Link
Hagen Burrows	New York Rangers	24	168	0	Link
Haoxi Wang	New York Rangers	25	36	0	Link
Ilya Nabokov	New York Rangers	24	35	0	Link
Ilya Protas	New York Rangers	24	113	0	Link
Ilyas Magomedsultanov	New York Rangers	25	108	0	Link
Ivan Tkach-Tkachenko	New York Rangers	25	116	0	Link
Jack Berglund	New York Rangers	24	95	0	Link
Jacob Rombach	New York Rangers	25	64	0	Link
Jakub Dvorak	New York Rangers	23	125	0	Link
Jalen Luypen	New York Rangers	22	120	0	Link
James Hagens	New York Rangers	25	4	0	Link
Jorian Donovan	New York Rangers	22	121	0	Link
Joshua Ravensbergen	New York Rangers	25	35	0	Link
Juha Jatkola	New York Rangers	23	112	0	Link
Kaapo Kakko	New York Rangers	19	2	0	Link
Kalan Lind	New York Rangers	23	92	0	Link
Kristian Epperson	New York Rangers	25	73	0	Link
Lenni Hameenaho	New York Rangers	23	68	0	Link
Leo Sahlin-Wallenius	New York Rangers	24	59	0	Link
Liam Foudy	New York Rangers	18	36	0	Link
Linus Eriksson	New York Rangers	24	55	0	Link
Linus Funck	New York Rangers	25	158	0	Link
Lirim Amidovski	New York Rangers	25	162	0	Link
Logan Mailloux	New York Rangers	21	99	0	Link
Logan Sawyer	New York Rangers	24	127	0	Link
Maceo Phillips	New York Rangers	25	133	0	Link
Maceo Phillips	New York Rangers	25	133	0	Link
Mads Kongsbak Klyvo	New York Rangers	25	104	0	Link
Matle Vass	New York Rangers	25	121	0	Link
Matthew Robertson	New York Rangers	19	112	0	Link
Matthew Wood	New York Rangers	23	13	0	Link
Melvin Fernstrom	New York Rangers	24	144	0	Link
Michael Hrabel	New York Rangers	23	39	0	Link
Nate Danielson	New York Rangers	23	12	0	Link
Nico Myatovic	New York Rangers	23	48	0	Link
Nikita Prishchepov	New York Rangers	25	117	0	Link
Oliver Bonk	New York Rangers	23	34	0	Link
Parker Holmes	New York Rangers	25	179	0	Link
Pyotr Andreyanov	New York Rangers	25	23	0	Link
Quentin Musty	New York Rangers	23	28	0	Link
Rasmus Kumpulainen	New York Rangers	23	71	0	Link
Roman Bausov	New York Rangers	25	150	0	Link
Sascha Boumedienne	New York Rangers	25	31	0	Link
Sasha Pastujov	New York Rangers	21	30	0	Link
Scott Ratzlaff	New York Rangers	23	115	0	Link
Sean Behrens	New York Rangers	21	62	0	Link
Shane Wright	New York Rangers	22	1	0	Link
Spencer Gill	New York Rangers	24	99	0	Link
Theodor Hallquisth	New York Rangers	25	66	0	Link
Tobias Bjornfot	New York Rangers	19	30	0	Link
Tom Willander	New York Rangers	23	20	0	Link
Trey Augustine	New York Rangers	23	40	0	Link
Tristan Bertucci	New York Rangers	23	113	0	Link
Ty Dellandrea	New York Rangers	18	30	0	Link
Vashek Blanar	New York Rangers	25	157	0	Link
Viggo Gustafsson	New York Rangers	24	123	0	Link
Vilmer Alriksson	New York Rangers	23	119	0	Link
Will Horcoff	New York Rangers	25	22	0	Link
Will Skahan	New York Rangers	24	103	0	Link
William Zellers	New York Rangers	24	119	0	Link
Y25-MTL-6	New York Rangers	0	0	0	Link
Yegor Zavragin	New York Rangers	23	101	0	Link
Zachary Dean	New York Rangers	21	28	0	Link

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
26
27
28
29
30
Conditional Draft Picks

The STHS News Database File was not found or corrupted. Please create one in the League News Management section of the website logged in as a Commissioner.

New York Rangers Trade History

Andrey Makarov is out for 5 days because of a Left Foot Injury.
Gustav Olofsson is out for 1 week because of a Sprained Right Ankle Injury.
Sami Niku is out for 2 weeks because of a Fractured Orbital Bone Injury.

New York Rangers Players Stat Leaders (Regular Season)

Show or Hide Columns

#	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

New York Rangers Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

New York Rangers Career Team Stats

Show or Hide Columns

	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

New York Rangers Players Stat Leaders (Play-Off)

Show or Hide Columns

#	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

New York Rangers Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	New York Rangers
	GP: 5 \| W: 3 \| L: 2 \| OTL: 0 \| P: 9 GF: 12 \| GA: 13 \| PP%: 17.39% \| PK%: 78.26% GM : Corey \| Morale : 40 \| Team Overall : 77 Next Games #82 vs Philadelphia Flyers