Hartford Wolf Pack
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension
Web Roster Editor
Web Lines Editor

Game Center
	New York Rangers 8-12-3, 19pts	0	FINAL	4	Philadelphia Flyers 13-11-1, 27pts

Team Stats
OTW1	Streak	L1
4-6-1	Home Record	10-3-0
4-6-2	Away Record	3-8-1
6-3-1	Last 10 Games	6-3-1
2.91	Goals Per Game	3.32
3.65	Goals Against Per Game	2.76
15.96%	Power Play Percentage	22.52%
74.12%	Penalty Kill Percentage	79.79%

Montreal Canadiens
14-7-2, 30pts

FINAL

New York Rangers
8-12-3, 19pts

Team Stats
OTL1	Streak	OTW1
11-1-0	Home Record	4-6-1
3-6-2	Away Record	4-6-2
4-5-1	Last 10 Games	6-3-1
3.70	Goals Per Game	2.91
3.43	Goals Against Per Game	3.65
24.51%	Power Play Percentage	15.96%
81.11%	Penalty Kill Percentage	74.12%

New Jersey Devils
15-10-2, 32pts

Day 60

New York Rangers
8-12-3, 19pts

Team Stats
W1	Streak	OTW1
8-5-0	Home Record	4-6-1
7-5-2	Away Record	4-6-2
5-5-0	Last 10 Games	6-3-1
2.89	Goals Per Game	2.91
2.93	Goals Against Per Game	2.91
18.58%	Power Play Percentage	15.96%
81.12%	Penalty Kill Percentage	74.12%

Pittsburgh Penguins
12-12-2, 26pts

Day 64

New York Rangers
8-12-3, 19pts

Team Stats
L4	Streak	OTW1
7-6-1	Home Record	4-6-1
5-6-1	Away Record	4-6-2
2-8-0	Last 10 Games	6-3-1
3.08	Goals Per Game	2.91
3.46	Goals Against Per Game	2.91
16.96%	Power Play Percentage	15.96%
77.78%	Penalty Kill Percentage	74.12%

Seattle Kraken
11-12-2, 24pts

Day 66

New York Rangers
8-12-3, 19pts

Team Stats
SOL1	Streak	OTW1
5-7-2	Home Record	4-6-1
6-5-0	Away Record	4-6-2
4-5-1	Last 10 Games	6-3-1
3.52	Goals Per Game	2.91
3.68	Goals Against Per Game	2.91
20.59%	Power Play Percentage	15.96%
75.00%	Penalty Kill Percentage	74.12%

Team Leaders
	Goals Boone Jenner 10	Assists Shea Theodore 18

	Points Nikolaj Ehlers 21	Plus/Minus Boone Jenner 7

Team Stats
Goals For 67 2.91 GFG	Shots For 708 30.78 Avg	Power Play Percentage 16.0% 15 GF	Offensive Zone Start 41.1%
Goals Against 84 3.65 GAA	Shots Against 769 33.43 Avg	Penalty Kill Percentage 74.1%% 22 GA	Defensive Zone Start 41.6%

Team Info
	General Manager	Sylvain Franck
	Coach	Kris Knoblauch
	Division	Metropolitan
	Conference	Eastern Conference
	Captain	Pierre-Luc Dubois
	Assistant #1	Damon Severson
	Assistant #2	Nikolaj Ehlers
Arena Info
	Name	Madison Square Garden
	Capacity	23,000
	Attendance	19,869
	Season Tickets	9,200
Roster Info
	Pro Team	21
	Farm Team	16
	Contract Limit	37 / 250
	Prospects	16
Salary Cap
	Estimated Season Salary Cap	82,707,103$
	Available Salary Cap	792,897$
	Special Salary Cap Value	0$
	Players In Salary Cap	21
Finance
	Year to Date Revenue	19,970,503$
	Year To Date Expenses	24,756,336$
	Estimated Season Revenue	54,465,008$
	Estimated Season Expenses	59,410,129$
	Current Bank Account	25,250,824$
	Projected Bank Account	21,439,895$

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	Jeff Carter	X		X		97.00	70	37	91	67	87	82	89	65	90	61	66	75	64	93	82	33	44	0		0	39	1	3,250,000$
2	Nikolaj Ehlers (A)		X	X		100.00	63	40	90	85	69	86	84	78	55	80	75	65	82	74	72	71	44	0		0	28	3	4,750,000$
3	Boone Jenner	X	X			100.00	78	51	80	72	82	91	84	74	85	70	80	77	73	79	88	59	34	0		0	31	5	3,750,000$
4	Ryan Strome	X		X		99.00	64	62	71	76	74	87	90	73	75	77	66	64	71	80	72	68	34	0		0	31	2	5,000,000$
5	Josh Anderson			X		100.00	79	75	71	76	88	87	88	68	58	63	69	67	66	74	73	50	45	0		0	30	1	7,000,000$
6	Kevin Labanc			X		100.00	71	34	86	71	69	84	82	66	57	68	64	61	71	72	69	40	44	0		0	28	1	3,200,000$
7	Michael Amadio	X				100.00	67	35	94	71	77	81	86	68	62	65	70	63	67	71	72	53	44	0		0	28	2	775,000$
8	Oskar Lindblom		X			100.00	69	38	90	63	76	79	81	62	59	60	61	64	63	70	71	47	44	0		0	28	1	2,500,000$
9	Pierre-Luc Dubois (C)	X	X			100.00	70	45	72	77	91	87	89	75	79	76	74	66	78	70	72	85	34	0		0	26	2	6,650,000$
10	Dillon Dube	X	X			100.00	73	37	86	67	69	85	83	65	64	70	66	69	67	68	70	66	44	0		0	26	3	3,300,000$
11	Kaapo Kakko			X		100.00	61	36	93	73	81	84	87	72	60	67	70	63	71	64	67	90	44	0		0	23	4	5,099,999$
12	Joel Farabee		X			100.00	68	46	85	76	72	87	90	74	57	73	71	66	77	68	72	82	44	0		0	24	4	4,250,000$
13	John Klingberg				X	100.00	68	35	84	76	79	91	75	72	30	78	70	64	57	78	74	35	38	0		0	32	1	5,750,000$
14	Damon Severson (A)				X	99.77	65	39	82	71	81	90	88	69	30	76	68	77	56	78	72	54	32	0		0	30	3	5,100,000$
15	Shayne Gostisbehere				X	100.00	63	34	91	74	69	90	89	76	30	82	72	64	58	77	73	50	44	0		0	31	5	4,125,000$
16	Shea Theodore				X	100.00	58	36	93	82	80	92	79	77	30	89	70	65	58	72	71	65	32	0		0	29	4	5,200,000$
17	Brandon Carlo				X	100.00	76	49	83	67	93	90	89	62	30	70	58	93	50	73	69	63	31	0		0	27	1	3,500,000$
18	Jan Rutta				X	100.00	71	37	83	66	84	89	83	64	30	71	61	90	52	75	77	23	33	0		0	34	2	3,300,000$
Scratches
1	Patrik Nemeth				X	100.00	40	35	40	62	35	80	90	40	20	40	40	40	30	75	72	11	42	0		0	33	1	2,800,000$
Farm Team
1	Pat Maroon		X			100.00	77	84	61	63	90	78	85	62	56	64	58	61	57	83	76	24	50	0		0	36	2	1,000,000$
2	Michael Raffl	X	X	X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	35	2	1,651,000$
3	Barrett Hayton	X	X			100.00	69	36	81	73	79	88	81	69	81	71	68	72	74	65	67	86	47	0		0	24	1	1,400,000$
4	Jack Studnicka	X	X	X		100.00	71	38	89	64	76	84	80	63	75	60	61	65	62	66	67	69	47	0		0	25	3	775,000$
5	Akil Thomas (R)	X				100.00	65	38	81	67	73	82	75	65	63	61	66	62	68	65	67	69	50	0		0	23	2	775,000$
6	Jesse Ylonen			X		100.00	67	38	94	65	77	87	85	64	68	66	61	63	71	65	66	73	50	0		0	24	1	925,000$
7	Roby Jarventie (R)		X			100.00	67	40	72	66	77	80	72	65	62	63	64	61	66	62	64	77	50	0		0	22	2	925,000$
8	Valtteri Puustinen (R)			X		100.00	62	35	94	68	67	83	88	67	62	66	60	61	68	65	67	47	50	0		0	25	4	775,000$
9	Hendrix Lapierre (R)	X				100.00	61	37	87	69	70	79	85	67	73	68	62	63	65	62	64	82	50	0		0	22	2	832,500$
10	Jiri Kulich (R)			X		100.00	68	38	88	67	75	91	82	65	63	58	64	62	66	61	67	82	50	0		0	20	2	950,000$
11	Stephen Johns				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	32	1	950,000$
12	Steven Santini				X	100.00	74	38	86	63	82	79	84	59	30	60	55	65	47	69	71	60	47	0	N	0	29	4	1,999,999$
13	Ben Harpur				X	100.00	40	35	40	62	35	80	90	40	20	40	40	40	30	68	70	11	50	0		0	29	1	775,000$
14	Ville Heinola (R)				X	100.00	64	39	77	65	73	82	78	64	30	65	57	58	50	63	65	81	50	0		0	23	2	832,500$

	TEAM AVERAGE					99.87	65	41	79	68	73	85	85	65	52	65	63	64	60	68	68	55	44	0

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	Charlie Lindgren	100.00	86	96	81	76	87	85	86	86	86	73	91	72	85	54	27	0	0	30	4	1,100,000$
2	Mackenzie Blackwood	99.00	70	92	78	91	71	76	76	76	77	63	87	70	81	62	25	0	0	27	2	2,800,000$
Scratches
Farm Team
1	Michael Dipietro (R)	100.00	65	95	72	74	66	61	61	61	61	50	77	65	73	64	50	0	0	25	4	775,000$
2	Karel Vejmelka	100.00	75	99	82	91	76	81	80	81	81	69	88	70	81	57	47	0	0	28	2	842,500$

	TEAM AVERAGE	99.75	74	96	78	83	75	76	76	76	76	64	86	69	80	59	37	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kris Knoblauch	78	80	83	79	68	64	81	CAN	45	3	1,000,000$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Nikolaj Ehlers	New York Rangers	LW/RW	23	7	14	21	-9	2	0	13	34	92	38	60	7.61%	5	471	20.48	2	5	7	17	87	0	0	0	0	23	0	0	45.16%	31	0	0	0.89	0	1	0	0	0	1	0
2	Boone Jenner	New York Rangers	C/LW	23	10	11	21	7	12	0	54	66	86	18	49	11.63%	7	454	19.77	2	2	4	16	67	0	0	0	1	43	0	0	51.75%	599	0	0	0.92	1	1	0	0	1	2	2
3	Shea Theodore	New York Rangers	D	22	2	18	20	0	4	0	12	30	26	10	23	7.69%	23	480	21.86	1	5	6	17	81	0	0	0	0	41	0	0	0%	0	0	0	0.83	0	0	0	0	1	0	1
4	Pierre-Luc Dubois	New York Rangers	C/LW	23	9	11	20	-10	18	0	48	53	73	14	50	12.33%	3	436	18.98	2	6	8	17	82	0	0	0	0	1	1	1	50.89%	621	0	1	0.92	0	0	0	0	1	0	0
5	Shayne Gostisbehere	New York Rangers	D	23	4	13	17	-6	22	0	23	31	45	13	24	8.89%	22	502	21.83	3	3	6	27	91	0	0	0	0	59	0	1	0%	0	0	0	0.68	0	0	0	0	0	0	1
6	Ryan Strome	New York Rangers	C/RW	23	7	7	14	-7	4	0	19	45	58	11	49	12.07%	7	447	19.47	1	1	2	11	88	1	1	2	5	92	2	0	48.42%	349	0	0	0.63	0	0	0	0	1	1	0
7	Joel Farabee	New York Rangers	LW	23	7	5	12	1	10	0	23	15	59	17	39	11.86%	2	415	18.05	2	0	2	11	74	0	0	0	0	0	0	0	29.17%	24	0	0	0.58	0	1	0	0	2	0	0
8	Brandon Carlo	New York Rangers	D	23	2	7	9	3	29	5	52	24	37	13	23	5.41%	47	514	22.38	2	1	3	24	62	0	0	0	0	62	0	0	0%	0	0	0	0.35	0	0	1	0	0	0	1
9	Kaapo Kakko	New York Rangers	RW	23	3	6	9	1	4	0	5	23	31	8	29	9.68%	2	340	14.81	0	0	0	0	0	0	0	0	0	0	1	1	28.57%	21	0	0	0.53	0	0	0	0	0	0	0
10	John Klingberg	New York Rangers	D	17	1	7	8	-3	20	0	30	12	18	7	8	5.56%	17	286	16.84	0	1	1	2	8	0	2	2	0	25	1	0	0%	0	0	0	0.56	0	0	0	0	1	0	0
11	Damon Severson	New York Rangers	D	19	1	6	7	-6	12	0	42	21	28	9	9	3.57%	21	399	21.02	0	0	0	20	52	0	0	0	0	40	0	0	0%	0	0	0	0.35	0	0	0	0	0	1	0
12	Oskar Lindblom	New York Rangers	LW	23	5	1	6	-7	2	0	14	13	16	9	19	31.25%	5	379	16.51	0	0	0	0	0	0	0	0	0	2	2	0	28.57%	21	0	0	0.32	0	0	0	0	0	0	2
13	Jeff Carter	New York Rangers	C/RW	23	4	1	5	-1	12	0	25	27	38	13	14	10.53%	5	517	22.49	0	1	1	8	74	1	0	1	3	89	0	0	56.03%	232	1	0	0.19	0	0	0	0	0	0	1
14	Josh Anderson	New York Rangers	RW	23	2	2	4	-6	21	5	31	24	42	11	25	4.76%	4	255	11.10	0	0	0	0	1	0	0	0	0	1	0	0	37.50%	24	0	0	0.31	0	0	0	1	0	1	0
15	Kevin Labanc	New York Rangers	RW	23	1	3	4	-1	2	0	11	10	16	6	10	6.25%	1	128	5.58	0	0	0	1	0	0	0	0	0	0	0	1	58.33%	12	0	0	0.62	1	1	0	0	0	0	0
16	Michael Amadio	New York Rangers	C	23	1	1	2	-1	0	0	7	9	27	6	16	3.70%	3	135	5.87	0	0	0	2	1	0	0	0	0	6	0	0	46.73%	107	0	0	0.30	0	0	0	0	0	0	0
17	Patrik Nemeth	New York Rangers	D	17	0	1	1	-2	6	0	12	1	3	0	0	0%	10	256	15.06	0	0	0	0	0	0	1	1	0	5	0	0	0%	0	0	0	0.08	0	0	0	0	0	0	0
18	Jan Rutta	New York Rangers	D	17	0	1	1	-6	10	0	28	28	13	7	12	0%	30	325	19.14	0	0	0	8	25	0	0	0	0	45	0	0	0%	0	0	0	0.06	0	0	0	0	0	0	0
19	Dillon Dube	New York Rangers	C/LW	23	0	0	0	1	0	0	2	1	0	2	2	0%	0	29	1.28	0	0	0	0	6	0	0	0	0	21	0	0	21.43%	14	0	0	0	0	1	0	0	0	0	0
Team Total or Average				414	66	115	181	-52	190	10	451	467	708	212	461	9.32%	214	6775	16.37	15	25	40	181	806	2	4	6	9	562	7	4	49.98%	2055	1	1	0.53	2	5	1	1	7	6	8

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	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2
1	Mackenzie Blackwood	New York Rangers	17	6	4	0	0.888	3.40	707	0	1	40	356	0	2	0.800	5	12	11	1	0
2	Charlie Lindgren	New York Rangers	16	2	8	3	0.898	3.70	681	2	0	42	411	1	0	0	0	11	12	0	2
Team Total or Average			33	8	12	3	0.893	3.54	1389	2	1	82	767	1	2		5	23	23	1	2

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	Last Trade Date	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
Boone Jenner	New York Rangers	C/LW	31	1993-06-15	CAN	No	208 Lbs	6 ft2	No	No	N/A		No	No	5	2024-05-19	False	False	Pro & Farm	3,750,000$	2,645,939$	3,750,000$	2,645,939$	No	3,750,000$	3,750,000$	3,750,000$	3,750,000$	-	-	-	-	-	3,750,000$	3,750,000$	3,750,000$	3,750,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Brandon Carlo	New York Rangers	D	27	1996-11-26	USA	No	217 Lbs	6 ft5	No	No	N/A		No	No	1		False	False	Pro & Farm	3,500,000$	2,469,543$	3,500,000$	2,469,543$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Charlie Lindgren	New York Rangers	G	30	1993-12-18	USA	No	179 Lbs	6 ft2	No	No	N/A		No	No	4	2024-05-19	False	False	Pro & Farm	1,100,000$	776,142$	1,100,000$	776,142$	No	1,100,000$	1,100,000$	1,100,000$	-	-	-	-	-	-	1,100,000$	1,100,000$	1,100,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Damon Severson	New York Rangers	D	30	1994-08-07	CAN	No	202 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro & Farm	5,100,000$	3,598,477$	5,100,000$	3,598,477$	No	5,100,000$	5,100,000$	-	-	-	-	-	-	-	5,100,000$	5,100,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Dillon Dube	New York Rangers	C/LW	26	1998-07-20	CAN	No	185 Lbs	5 ft11	No	No	N/A		No	No	3		False	False	Pro & Farm	3,300,000$	2,328,426$	3,300,000$	2,328,426$	No	3,300,000$	3,300,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jan Rutta	New York Rangers	D	34	1990-07-29	CZE	No	204 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	3,300,000$	2,328,426$	3,300,000$	2,328,426$	No	3,300,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jeff Carter	New York Rangers	C/RW	39	1985-07-28	CAN	No	219 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	3,250,000$	2,293,147$	3,250,000$	2,293,147$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Joel Farabee	New York Rangers	LW	24	2000-02-25	USA	No	186 Lbs	6 ft0	No	No	Trade	2024-05-31	No	No	4	2024-05-19	False	False	Pro & Farm	4,250,000$	2,998,731$	4,250,000$	2,998,731$	No	4,250,000$	4,250,000$	4,250,000$	-	-	-	-	-	-	4,250,000$	4,250,000$	4,250,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
John Klingberg	New York Rangers	D	32	1992-08-14	SWE	No	185 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	5,750,000$	4,057,107$	5,750,000$	4,057,107$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Josh Anderson	New York Rangers	RW	30	1994-05-07	CAN	No	224 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	7,000,000$	4,939,086$	7,000,000$	4,939,086$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kaapo Kakko	New York Rangers	RW	23	2001-02-13	FIN	No	205 Lbs	6 ft2	No	No	Trade	2024-06-07	No	No	4	2024-09-12	False	False	Pro & Farm	5,099,999$	3,598,476$	5,099,999$	3,598,476$	No	5,099,999$	5,099,999$	5,099,999$	-	-	-	-	-	-	600,000$	600,000$	600,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Kevin Labanc	New York Rangers	RW	28	1995-12-12	USA	No	185 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	3,200,000$	2,257,868$	3,200,000$	2,257,868$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mackenzie Blackwood	New York Rangers	G	27	1996-12-09	CAN	No	225 Lbs	6 ft4	No	No	N/A		No	No	2		False	False	Pro & Farm	2,800,000$	1,975,635$	2,800,000$	1,975,635$	No	2,800,000$	-	-	-	-	-	-	-	-	2,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Michael Amadio	New York Rangers	C	28	1996-05-13	CAN	No	200 Lbs	6 ft1	No	No	N/A		No	No	2	2024-05-19	False	False	Pro & Farm	775,000$	546,827$	775,000$	546,827$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Nikolaj Ehlers	New York Rangers	LW/RW	28	1996-02-14	DNK	No	172 Lbs	6 ft0	No	No	Trade	2024-01-16	No	No	3		False	False	Pro & Farm	4,750,000$	3,351,523$	4,750,000$	3,351,523$	No	4,750,000$	4,750,000$	-	-	-	-	-	-	-	4,750,000$	4,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Oskar Lindblom	New York Rangers	LW	28	1996-08-15	SWE	No	191 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	2,500,000$	1,763,959$	2,500,000$	1,763,959$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Patrik Nemeth	New York Rangers	D	33	1991-09-14	SWE	No	230 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	2,800,000$	1,975,635$	2,800,000$	1,975,635$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Pierre-Luc Dubois	New York Rangers	C/LW	26	1998-06-24	CAN	No	225 Lbs	6 ft4	No	No	N/A		No	No	2		False	False	Pro & Farm	6,650,000$	4,692,132$	6,650,000$	4,692,132$	No	6,650,000$	-	-	-	-	-	-	-	-	6,650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Ryan Strome	New York Rangers	C/RW	31	1993-07-11	CAN	No	191 Lbs	6 ft1	No	No	Trade	2024-01-16	No	No	2		False	False	Pro & Farm	5,000,000$	3,527,919$	5,000,000$	3,527,919$	No	5,000,000$	-	-	-	-	-	-	-	-	5,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Shayne Gostisbehere	New York Rangers	D	31	1993-04-20	USA	No	183 Lbs	5 ft11	No	No	N/A		No	No	5	2024-05-19	False	False	Pro & Farm	4,125,000$	2,910,533$	4,125,000$	2,910,533$	No	4,125,000$	4,125,000$	4,125,000$	4,125,000$	-	-	-	-	-	4,125,000$	4,125,000$	4,125,000$	4,125,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Shea Theodore	New York Rangers	D	29	1995-08-03	CAN	No	197 Lbs	6 ft2	No	No	Trade	2024-05-31	No	No	4	2024-05-19	False	False	Pro & Farm	5,200,000$	3,669,036$	5,200,000$	3,669,036$	No	5,200,000$	5,200,000$	5,200,000$	-	-	-	-	-	-	5,200,000$	5,200,000$	5,200,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	29.29	201 Lbs	6 ft2	2.48	3,961,905$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
83,199,999$	55,199,999$	36,674,999$	23,524,999$	7,875,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nikolaj Ehlers	Pierre-Luc Dubois	Jeff Carter	35	0	1	4
2	Joel Farabee	Boone Jenner	Kaapo Kakko	33	0	2	3
3	Oskar Lindblom	Ryan Strome	Josh Anderson	27	0	4	1
4	Oskar Lindblom	Michael Amadio	Kevin Labanc	5	0	4	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brandon Carlo	Jan Rutta	36	0	3	2
2	Shea Theodore	Shayne Gostisbehere	34	0	3	2
3	John Klingberg	Damon Severson	30	1	3	1
4	Brandon Carlo	John Klingberg	0	0	5	0

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nikolaj Ehlers	Pierre-Luc Dubois	Ryan Strome	62	0	0	5
2	Joel Farabee	Boone Jenner	Jeff Carter	38	0	1	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jan Rutta	Shayne Gostisbehere	62	0	2	3
2	Brandon Carlo	Shea Theodore	38	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jeff Carter	Ryan Strome	65	0	5	0
2	Boone Jenner	Dillon Dube	35	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jan Rutta	Brandon Carlo	62	0	5	0
2	Shayne Gostisbehere	Damon Severson	38	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jeff Carter	60	0	5	0	Brandon Carlo	Shayne Gostisbehere	60	0	5	0
2	Boone Jenner	40	0	5	0	Jan Rutta	John Klingberg	40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Pierre-Luc Dubois	Nikolaj Ehlers	55	0	2	3
2	Boone Jenner	Ryan Strome	45	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shea Theodore	Brandon Carlo	60	0	3	2
2	John Klingberg	Shayne Gostisbehere	40	0	3	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Nikolaj Ehlers	Pierre-Luc Dubois	Ryan Strome	Jan Rutta	Shea Theodore

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Dillon Dube	Boone Jenner	Jeff Carter	Brandon Carlo	Jan Rutta

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jeff Carter, Pierre-Luc Dubois, Boone Jenner	Jeff Carter, Boone Jenner	Jeff Carter

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Brandon Carlo, Shayne Gostisbehere, Shea Theodore	Brandon Carlo	Shayne Gostisbehere, Brandon Carlo

Penalty Shots
Nikolaj Ehlers, Pierre-Luc Dubois, Joel Farabee, Boone Jenner, Dillon Dube

Goalie
#1 : Mackenzie Blackwood, #2 : Charlie Lindgren

Custom OT Lines Forwards
Nikolaj Ehlers, Pierre-Luc Dubois, Boone Jenner, Ryan Strome, Michael Amadio, Jeff Carter, Jeff Carter, Joel Farabee, Kaapo Kakko, Josh Anderson, Oskar Lindblom

Custom OT Lines Defensemen
Shea Theodore, Brandon Carlo, Jan Rutta, Shayne Gostisbehere, John Klingberg

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	Anaheim Ducks	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	0	1	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	21	6	8	7	0	26	14	10	24	4	0	0.00%	5	0	100.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	21	13	26	8	12	5
2	Buffalo Sabres	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	1	2	1	0	37	7	15	15	0	18	10	12	22	5	1	20.00%	6	0	100.00%	1	415	835	49.70%	431	845	51.01%	181	352	51.42%	25	18	23	7	11	6
3	Calgary Flames	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	3	5	0	0	1	1	0	0	25	14	5	6	0	38	18	10	13	3	0	0.00%	5	3	40.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	20	13	27	8	12	5
4	Carolina Hurricanes	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	3	3	2	1.000	6	11	17	0	0	2	2	2	0	34	16	9	9	0	20	5	8	10	4	1	25.00%	4	1	75.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	25	17	21	7	13	6
5	Detroit Red Wings	3	0	2	0	0	1	0	0	8	14	-6	1	0	1	0	0	0	0	0	3	5	-2	2	0	1	0	0	1	0	0	5	9	-4	1	0.167	8	13	21	1	0	2	3	3	0	73	26	19	26	2	118	30	32	64	7	2	28.57%	16	5	68.75%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	67	45	79	22	36	17
6	Edmonton Oilers	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	5	4	1	2	1.000	5	8	13	0	0	3	1	0	2	44	12	11	19	7	37	13	8	12	5	3	60.00%	4	1	75.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	30	22	22	6	12	6
7	Florida Panthers	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	1	0	2	0	1	0	40	13	13	14	0	28	7	4	16	4	1	25.00%	2	0	100.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	24	17	23	7	12	6
8	Montreal Canadiens	2	0	0	0	1	1	0	0	6	6	0	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	0	1	0	0	1	2	-1	3	0.750	6	9	15	0	0	0	2	3	1	63	18	9	32	4	65	21	27	34	7	2	28.57%	8	2	75.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	50	34	47	14	25	13
9	New York Islanders	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	1	0	0	0	42	15	17	10	0	38	8	0	20	5	0	0.00%	0	0	0%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	22	15	24	7	12	6
10	Ottawa Senators	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	2	1	0	0	25	5	13	7	0	45	7	15	23	3	0	0.00%	4	3	25.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	19	12	26	7	13	6
11	Philadelphia Flyers	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	0	0	0	0	17	6	5	6	0	43	5	14	19	2	0	0.00%	7	2	71.43%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	20	14	27	7	12	5
12	Pittsburgh Penguins	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	3	5	0	0	1	1	0	0	39	12	15	12	0	27	9	6	17	7	1	14.29%	3	2	33.33%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	23	16	24	7	12	6
13	San Jose Sharks	1	0	0	0	0	1	0	0	5	6	-1	1	0	0	0	0	1	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	5	8	13	0	0	1	0	4	0	38	5	11	20	2	36	15	6	24	10	3	30.00%	3	2	33.33%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	28	19	20	7	12	6
14	Seattle Kraken	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	10	15	0	0	2	1	2	0	33	12	10	11	0	32	11	10	24	3	0	0.00%	4	0	100.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	22	14	24	7	13	7
15	St. Louis Blues	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	3	5	0	0	1	0	1	0	29	11	10	8	0	28	9	2	19	2	0	0.00%	1	0	100.00%	1	415	835	49.70%	431	845	51.01%	181	352	51.42%	22	14	26	6	11	5
16	Toronto Maple Leafs	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	0	0	2	0	33	10	6	17	0	34	8	6	13	6	0	0.00%	2	0	100.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	25	17	22	6	12	6
17	Utah Hockey Club	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	1	4	0	0	29	4	13	12	0	37	9	6	26	6	1	16.67%	3	0	100.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	20	13	26	8	12	6
18	Vancouver Canucks	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	8	13	0	0	1	2	2	0	32	12	15	5	0	31	7	4	25	4	0	0.00%	2	0	100.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	27	20	19	6	12	6
19	Washington Capitals	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	1	2	0	0	0	0	1	0	19	5	8	6	0	38	3	6	20	3	0	0.00%	3	1	66.67%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	20	12	26	6	12	6
20	Winnipeg Jets	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	1	0	0	2	0	35	12	12	11	0	30	5	6	26	4	0	0.00%	3	0	100.00%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	21	14	26	7	11	6
	Total	23	6	12	0	1	3	1	0	67	84	-17	11	3	6	0	1	1	0	0	33	38	-5	12	3	6	0	0	2	1	0	34	46	-12	19	0.413	67	115	182	2	1	21	20	24	3	708	221	224	253	15	769	214	192	451	94	15	15.96%	85	22	74.12%	2	415	835	49.70%	431	845	51.01%	181	352	51.42%	539	369	566	168	286	143
	_Since Last GM Reset	23	6	12	0	1	3	1	0	67	84	-17	11	3	6	0	1	1	0	0	33	38	-5	12	3	6	0	0	2	1	0	34	46	-12	19	0.413	67	115	182	2	1	21	20	24	3	708	221	224	253	15	769	214	192	451	94	15	15.96%	85	22	74.12%	2	415	835	49.70%	431	845	51.01%	181	352	51.42%	539	369	566	168	286	143
	_Vs Conference	14	2	9	0	1	2	0	0	36	56	-20	6	1	4	0	1	0	0	0	19	26	-7	8	1	5	0	0	2	0	0	17	30	-13	8	0.286	36	63	99	2	0	11	11	13	1	422	133	129	154	6	474	113	130	258	53	8	15.09%	55	16	70.91%	1	415	835	49.70%	431	845	51.01%	181	352	51.42%	325	221	345	101	175	87
	_Vs Division	5	1	4	0	0	0	0	0	10	17	-7	1	0	1	0	0	0	0	0	1	2	-1	4	1	3	0	0	0	0	0	9	15	-6	2	0.200	10	17	27	0	0	4	3	3	0	151	54	54	43	0	166	30	34	86	21	2	9.52%	17	6	64.71%	0	415	835	49.70%	431	845	51.01%	181	352	51.42%	112	76	124	36	63	31

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
23	19	OTW1	67	115	182	708	769	214	192	451	2	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	6	12	1	3	1	0	67	84

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	3	6	1	1	0	0	33	38

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	3	6	0	2	1	0	34	46

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
94	15	15.96%	85	22	74.12%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
221	224	253	15	21	20	24	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
415	835	49.70%	431	845	51.01%	181	352	51.42%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
539	369	566	168	286	143

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	OT	SO	Link
6	7	New York Rangers	2	Pittsburgh Penguins	5	L			BoxScore
9	30	Utah Hockey Club	2	New York Rangers	5	W			BoxScore
11	45	Detroit Red Wings	5	New York Rangers	3	L			BoxScore
14	63	New York Rangers	1	Detroit Red Wings	4	L			BoxScore
16	79	New York Rangers	2	Toronto Maple Leafs	4	L			BoxScore
19	96	New York Rangers	1	Montreal Canadiens	2	L	X		BoxScore
21	113	Florida Panthers	5	New York Rangers	3	L			BoxScore
23	128	Anaheim Ducks	1	New York Rangers	0	L			BoxScore
26	151	New York Rangers	1	Washington Capitals	3	L			BoxScore
29	170	Ottawa Senators	7	New York Rangers	3	L			BoxScore
31	185	New York Islanders	2	New York Rangers	1	L			BoxScore
35	213	Buffalo Sabres	3	New York Rangers	4	W			BoxScore
37	228	New York Rangers	4	Detroit Red Wings	5	L	X		BoxScore
40	247	Winnipeg Jets	0	New York Rangers	2	W			BoxScore
42	261	San Jose Sharks	6	New York Rangers	5	L	X		BoxScore
45	287	New York Rangers	5	Seattle Kraken	2	W			BoxScore
47	300	New York Rangers	5	Vancouver Canucks	4	W			BoxScore
49	314	New York Rangers	2	Calgary Flames	6	L			BoxScore
51	332	New York Rangers	5	Edmonton Oilers	4	W	X	X	BoxScore
53	337	St. Louis Blues	3	New York Rangers	2	L			BoxScore
55	349	New York Rangers	6	Carolina Hurricanes	3	W			BoxScore
57	362	New York Rangers	0	Philadelphia Flyers	4	L			BoxScore
58	376	Montreal Canadiens	4	New York Rangers	5	W	X		BoxScore
60	393	New Jersey Devils	-	New York Rangers	-
64	421	Pittsburgh Penguins	-	New York Rangers	-
66	436	Seattle Kraken	-	New York Rangers	-
67	444	Chicago Blackhawks	-	New York Rangers	-
69	457	New York Rangers	-	Buffalo Sabres	-
72	475	Los Angeles Kings	-	New York Rangers	-
73	492	New York Rangers	-	St. Louis Blues	-
75	502	New York Rangers	-	Nashville Predators	-
78	525	New York Rangers	-	Dallas Stars	-
80	539	Carolina Hurricanes	-	New York Rangers	-
81	545	New York Rangers	-	New Jersey Devils	-
86	572	New York Rangers	-	Tampa Bay Lightning	-
88	586	New York Rangers	-	Florida Panthers	-
91	604	Boston Bruins	-	New York Rangers	-
93	620	New York Rangers	-	Washington Capitals	-
94	632	New York Rangers	-	Chicago Blackhawks	-
96	643	Dallas Stars	-	New York Rangers	-
98	656	New Jersey Devils	-	New York Rangers	-
100	682	New York Rangers	-	Vegas Golden Knights	-
103	703	New York Rangers	-	Colorado Avalanche	-
105	717	New York Rangers	-	Utah Hockey Club	-
107	728	Columbus Blue Jackets	-	New York Rangers	-
108	738	New York Rangers	-	Montreal Canadiens	-
110	750	Ottawa Senators	-	New York Rangers	-
112	763	Philadelphia Flyers	-	New York Rangers	-
115	789	Colorado Avalanche	-	New York Rangers	-
117	802	Carolina Hurricanes	-	New York Rangers	-
121	827	New York Rangers	-	Boston Bruins	-
122	839	Vegas Golden Knights	-	New York Rangers	-
125	859	Boston Bruins	-	New York Rangers	-
127	871	Pittsburgh Penguins	-	New York Rangers	-
128	882	New York Rangers	-	Columbus Blue Jackets	-
142	895	New York Rangers	-	Buffalo Sabres	-
143	907	New York Rangers	-	Pittsburgh Penguins	-
145	925	New York Rangers	-	New York Islanders	-
148	945	Toronto Maple Leafs	-	New York Rangers	-
150	965	Nashville Predators	-	New York Rangers	-
151	970	New York Islanders	-	New York Rangers	-
153	983	Washington Capitals	-	New York Rangers	-
156	1003	New York Rangers	-	Ottawa Senators	-
157	1017	Columbus Blue Jackets	-	New York Rangers	-
Trade Deadline --- Trades can’t be done after this day is simulated!
159	1031	New York Rangers	-	Winnipeg Jets	-
161	1046	New York Rangers	-	Minnesota Wild	-
163	1062	New York Rangers	-	Columbus Blue Jackets	-
164	1069	Edmonton Oilers	-	New York Rangers	-
166	1079	Calgary Flames	-	New York Rangers	-
168	1091	Toronto Maple Leafs	-	New York Rangers	-
170	1104	Vancouver Canucks	-	New York Rangers	-
173	1138	New York Rangers	-	Los Angeles Kings	-
176	1158	New York Rangers	-	Anaheim Ducks	-
177	1168	New York Rangers	-	San Jose Sharks	-
181	1192	Minnesota Wild	-	New York Rangers	-
184	1209	New York Rangers	-	New Jersey Devils	-
186	1230	Tampa Bay Lightning	-	New York Rangers	-
188	1246	Philadelphia Flyers	-	New York Rangers	-
189	1254	New York Rangers	-	New York Islanders	-
191	1266	New York Rangers	-	Carolina Hurricanes	-
193	1287	New York Rangers	-	Florida Panthers	-
196	1310	Tampa Bay Lightning	-	New York Rangers	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	7100	6000	3800	4600	1500
Ticket Price	90	55	34	20	190
Attendance	66,310	56,914	35,059	47,442	12,839
Attendance PCT	84.90%	86.23%	83.87%	93.76%	77.81%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
30	19869 - 86.39%	1,815,500$	19,970,503$	23000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
24,756,336$	83,199,999$	68,500,000$	1,000,000$0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
422,335$	24,002,538$	0$	21	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
54,465,008$	139	427,411$	59,410,129$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
60,544,641$	25,250,824$	21,439,895$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
82,707,103$	792,897$	83,500,000$	21,007,103$

Depth Chart

Left Wing

Center

Right Wing

Barrett Hayton	AGE:24	PO:86	OV:0
Pierre-Luc Dubois	AGE:26	PO:85	OV:0
Joel Farabee	AGE:24	PO:82	OV:0
Roby Jarventie (R)	AGE:22	PO:77	OV:0
Nikolaj Ehlers	AGE:28	PO:71	OV:0
Jack Studnicka	AGE:25	PO:69	OV:0
Dillon Dube	AGE:26	PO:66	OV:0
Boone Jenner	AGE:31	PO:59	OV:0
Oskar Lindblom	AGE:28	PO:47	OV:0
Pat Maroon	AGE:36	PO:24	OV:0
Michael Raffl	AGE:35	PO:11	OV:0

Barrett Hayton	AGE:24	PO:86	OV:0
Pierre-Luc Dubois	AGE:26	PO:85	OV:0
Hendrix Lapierre (R)	AGE:22	PO:82	OV:0
Jack Studnicka	AGE:25	PO:69	OV:0
Akil Thomas (R)	AGE:23	PO:69	OV:0
Ryan Strome	AGE:31	PO:68	OV:0
Dillon Dube	AGE:26	PO:66	OV:0
Boone Jenner	AGE:31	PO:59	OV:0
Michael Amadio	AGE:28	PO:53	OV:0
Jeff Carter	AGE:39	PO:33	OV:0
Michael Raffl	AGE:35	PO:11	OV:0

Kaapo Kakko	AGE:23	PO:90	OV:0
Jiri Kulich (R)	AGE:20	PO:82	OV:0
Jesse Ylonen	AGE:24	PO:73	OV:0
Nikolaj Ehlers	AGE:28	PO:71	OV:0
Jack Studnicka	AGE:25	PO:69	OV:0
Ryan Strome	AGE:31	PO:68	OV:0
Josh Anderson	AGE:30	PO:50	OV:0
Valtteri Puustinen (R)	AGE:25	PO:47	OV:0
Kevin Labanc	AGE:28	PO:40	OV:0
Jeff Carter	AGE:39	PO:33	OV:0
Michael Raffl	AGE:35	PO:11	OV:0

Defense #1

Defense #2

Goalie

Ville Heinola (R)	AGE:23	PO:81	OV:0
Shea Theodore	AGE:29	PO:65	OV:0
Brandon Carlo	AGE:27	PO:63	OV:0
Steven Santini	AGE:29	PO:60	OV:0
Damon Severson	AGE:30	PO:54	OV:0
Shayne Gostisbehere	AGE:31	PO:50	OV:0

John Klingberg	AGE:32	PO:35	OV:0
Jan Rutta	AGE:34	PO:23	OV:0
Patrik Nemeth	AGE:33	PO:11	OV:0
Stephen Johns	AGE:32	PO:11	OV:0
Ben Harpur	AGE:29	PO:11	OV:0

Michael Dipietro (R)	AGE:25	PO:64	OV:0
Mackenzie Blackwood	AGE:27	PO:62	OV:0
Karel Vejmelka	AGE:28	PO:57	OV:0
Charlie Lindgren	AGE:30	PO:54	OV:0

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	Last Trade Date	Link
Albin Eriksson	New York Rangers	0	0
Andrei Mironov	New York Rangers	0	0
Colin Sullivan	New York Rangers	0	0
Dale Mitchell	New York Rangers	0	0
Dario Buergler	New York Rangers	0	0
David Kveton	New York Rangers	0	0
Dominik Masin	New York Rangers	0	0
Gabe Perreault	New York Rangers	0	0
Jesse Ylonen	New York Rangers	0	0
Jimmy Snuggerud	New York Rangers	0	0
Joonas Nattinen	New York Rangers	0	0
Mats Lindgren	New York Rangers	0	0
Spencer Machacek	New York Rangers	0	0
Temu Kivihalme	New York Rangers	0	0
Tyler Parsons	New York Rangers	0	0
William Lockwood	New York Rangers	0	0

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
22	NYR	NYR		BOS NYR	WPG NYR	WPG NYR	NYR
23	NYR	NYR	NYR	NYR	NYR	NYR	NYR
24	NYR	NYR	NYR	NYR	NYR	NYR	NYR
25	NYR	NYR	NYR	NYR	NYR	NYR	NYR
26	NYR	NYR	NYR	NYR	NYR	NYR	NYR
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

[9/12/2024 9:50:10 PM] - Richard Bachman was released.
[9/12/2024 9:50:10 PM] - New York Rangers paid $0 to release Richard Bachman.
[9/12/2024 9:50:01 PM] - Attaquant Bidon was released.
[9/12/2024 9:50:01 PM] - New York Rangers paid $0 to release Attaquant Bidon.
[8/21/2024 9:46:33 PM] - Kevin Rooney was released.
[8/21/2024 9:46:33 PM] - New York Rangers paid $0 to release Kevin Rooney.
[8/21/2024 9:46:19 PM] - Kevin Rooney was added to New York Rangers.
[8/21/2024 9:45:52 PM] - Steven Santini was added to New York Rangers.
[8/20/2024 9:08:42 PM] - Michael Dipietro has been deleted from New York Rangers.
[8/20/2024 9:08:39 PM] - Roby Jarventie has been deleted from New York Rangers.
[8/20/2024 9:08:35 PM] - Valtteri Puustinen has been deleted from New York Rangers.
[8/20/2024 9:08:27 PM] - Hendrix Lapierre has been deleted from New York Rangers.
[8/20/2024 9:08:24 PM] - Akil Thomas has been deleted from New York Rangers.
[8/20/2024 9:08:19 PM] - Jiri Kulich has been deleted from New York Rangers.
[8/18/2024 1:16:21 PM] - Michael Dipietro was added to New York Rangers.
[8/18/2024 1:16:15 PM] - Roby Jarventie was added to New York Rangers.
[8/18/2024 1:16:08 PM] - Valtteri Puustinen was added to New York Rangers.
[8/18/2024 1:16:03 PM] - Hendrix Lapierre was added to New York Rangers.
[8/18/2024 1:15:58 PM] - Akil Thomas was added to New York Rangers.
[8/18/2024 1:15:51 PM] - Jiri Kulich was added to New York Rangers.

[11/20/2024 9:39:31 AM] New York Rangers lines for next game are empty. Current rosters/lines are not erased.
[11/20/2024 9:39:27 AM] Auto Lines Partial Function has been run for New York Rangers.
[11/20/2024 9:39:27 AM] Auto Roster Partial Function has been run for New York Rangers.
[11/19/2024 7:37:00 AM] Auto Lines Partial Function has been run for New York Rangers.
[11/19/2024 7:37:00 AM] Auto Roster Partial Function has been run for New York Rangers.
[11/18/2024 8:06:22 AM] Damon Severson from New York Rangers is back from Strained Right Knee Injury.
[11/18/2024 8:06:09 AM] Auto Lines Partial Function has been run for New York Rangers.
[11/18/2024 8:06:09 AM] Auto Roster Partial Function has been run for New York Rangers.
[11/17/2024 9:45:47 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[11/16/2024 10:55:37 AM] Auto Lines Partial Function has been run for New York Rangers.
[11/16/2024 10:55:37 AM] Auto Roster Partial Function has been run for New York Rangers.
[11/14/2024 8:17:58 AM] Pierre-Luc Dubois from New York Rangers is back from Sprained Left Ankle Injury.
[11/14/2024 8:17:58 AM] Game 332 - Pierre-Luc Dubois from New York Rangers is injured (Sprained Left Ankle) and is out for 2 days.
[11/14/2024 8:17:55 AM] Auto Lines Partial Function has been run for New York Rangers.
[11/14/2024 8:17:55 AM] Auto Roster Partial Function has been run for New York Rangers.
[11/12/2024 7:16:12 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/12/2024 7:16:08 AM] Auto Lines Partial Function has been run for New York Rangers.
[11/12/2024 7:16:08 AM] Auto Roster Partial Function has been run for New York Rangers.
[11/9/2024 10:24:20 AM] Shea Theodore from New York Rangers is back from Left Knee Injury.
[11/9/2024 10:24:20 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/9/2024 10:24:20 AM] Pro Game #300 - Pierre-Luc Dubois from New York Rangers has scored a Hat Trick!
[11/9/2024 10:24:20 AM] Game 300 - Damon Severson from New York Rangers is injured (Strained Right Knee) and is out for 1 week.
[11/9/2024 10:24:16 AM] Auto Lines Partial Function has been run for New York Rangers.
[11/9/2024 10:24:16 AM] Auto Roster Partial Function has been run for New York Rangers.
[11/7/2024 7:20:52 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/7/2024 7:20:51 AM] Game 287 - Shea Theodore from New York Rangers is injured (Left Knee) and is out for 5 days.
[11/5/2024 7:14:40 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[11/4/2024 7:14:20 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/3/2024 7:09:03 AM] Jan Rutta from New York Rangers is back from Bruised Left Arm Injury.
[11/2/2024 8:04:16 AM] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, New York Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/2/2024 8:03:40 AM] Successfully loaded New York Rangers lines done with STHS Client - 3.3.6.6

No Injury or Suspension.

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: 23 \| W: 8 \| L: 12 \| OTL: 3 \| P: 19 GF: 67 \| GA: 84 \| PP%: 15.96% \| PK%: 74.12% GM : Sylvain Franck \| Morale : 38 \| Team Overall : N/A Next Games #393 vs New Jersey Devils