Wolf Pack
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Injury / Suspension

Game Center
	Rangers 35-46-3, 73pts	3	Box score	1	Lightning 31-49-4, 66pts

Team Stats
L1	Streak	L2
16-25-1	Home Record	19-23-1
19-21-2	Away Record	12-26-3
7-3-0	Last 10 Games	3-7-0
3.94	Goals Per Game	3.88
4.63	Goals Against Per Game	4.63
18.59%	Power Play Percentage	20.00%
81.23%	Penalty Kill Percentage	81.99%

Devils
44-32-9, 97pts

Box score

Rangers
35-46-3, 73pts

Team Stats
L1	Streak	L1
22-15-5	Home Record	16-25-1
22-17-4	Away Record	19-21-2
6-4-0	Last 10 Games	7-3-0
4.14	Goals Per Game	3.94
4.22	Goals Against Per Game	4.63
16.38%	Power Play Percentage	18.59%
80.99%	Penalty Kill Percentage	81.23%

Blue Jackets
56-17-11, 123pts

Day 116

Rangers
35-46-3, 73pts

Team Stats
W3	Streak	L1
29-7-7	Home Record	16-25-1
27-10-4	Away Record	19-21-2
8-1-1	Last 10 Games	7-3-0
4.19	Goals Per Game	3.94
3.04	Goals Against Per Game	3.94
18.80%	Power Play Percentage	18.59%
86.72%	Penalty Kill Percentage	81.23%

Rangers
35-46-3, 73pts

Day 117

Blues
48-29-8, 104pts

Team Stats
L1	Streak	W3
16-25-1	Home Record	25-15-2
19-21-2	Away Record	23-14-6
7-3-0	Last 10 Games	7-2-1
3.94	Goals Per Game	4.62
4.63	Goals Against Per Game	4.62
18.59%	Power Play Percentage	18.14%
81.23%	Penalty Kill Percentage	84.78%

Team Leaders
	Goals Frank Vatrano 60	Assists Frank Vatrano 66

	Points Frank Vatrano 126	Plus/Minus Parker Wotherspoon 9

	Wins Dustin Wolf 26	Save Percentage Dustin Wolf 0.899

Team Stats
Goals For 331 3.94 GFG	Shots For 3161 37.63 Avg	Power Play Percentage 18.6% 37 GF	Offensive Zone Start 34.4%
Goals Against 389 4.63 GAA	Shots Against 3492 41.57 Avg	Penalty Kill Percentage 81.2%% 49 GA	Defensive Zone Start 39.8%

Team Info
	General Manager	Blane Dermott
	Coach	Andy Chiodo
	Division	Metropolitan
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	Madison Square Garden
	Capacity	18,000
	Attendance	14,187
	Season Tickets	10,800
Roster Info
	Pro Team	21
	Farm Team	22
	Contract Limit	43 / 100
	Prospects	60
Salary Cap
	Estimated Season Salary Cap	59,103,960$
	Available Salary Cap	15,396,040$
	Special Salary Cap Value	0$
	Players In Salary Cap	21
Finance
	Year to Date Revenue	60,784,311$
	Year To Date Expenses	57,599,705$
	Estimated Season Revenue	1,447,246$
	Estimated Season Expenses	2,504,335$
	Current Bank Account	122,577,800$
	Projected Bank Account	121,520,711$

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	Frank Vatrano		X	X		100.00	88	45	73	91	73	76	98	86	41	81	83	68	35	79	81	75	80	77		0	32	2	12,255,000$
2	Conor Garland		X	X		100.00	68	54	82	83	61	79	98	85	31	83	77	68	70	74	76	73	79	75	N	0	30	3	4,000,000$
3	Kent Johnson	X	X	X		100.00	54	40	93	81	69	76	85	80	25	81	84	64	85	65	65	77	61	73		0	23	1	850,000$
4	Phillip Danault	X				100.00	76	44	90	74	74	76	97	70	93	80	61	76	25	80	83	67	68	72		0	33	3	4,500,000$
5	Michael Rasmussen	X	X	X		100.00	84	60	91	90	85	65	94	70	49	65	70	68	25	71	71	67	64	71		0	27	2	3,500,000$
6	Bobby Brink			X		100.00	77	42	91	80	60	68	96	76	36	79	69	64	61	63	63	70	65	70		0	24	3	2,651,000$
7	Lawson Crouse		X	X		100.00	90	68	85	77	81	65	98	68	41	58	70	66	25	77	78	67	68	69		0	28	2	2,816,000$
8	Rasmus Kupari	X		X		100.00	78	44	92	99	75	56	76	65	85	57	62	74	25	66	67	63	67	68		0	26	1	1,322,000$
9	Vincent Hinostroza			X		100.00	76	43	92	88	65	64	81	69	37	62	65	61	59	72	73	64	69	67		0	32	1	1,952,000$
10	Joseph Veleno	X				100.00	84	55	93	77	74	62	91	62	65	62	61	68	25	69	69	64	65	66		0	26	3	1,665,000$
11	Nicholas Robertson		X	X		100.00	75	43	93	88	64	62	86	63	37	58	70	58	25	63	64	68	53	65		0	24	3	1,600,000$
12	Travis Sanheim				X	100.00	76	45	85	81	83	90	99	70	25	66	55	92	25	77	78	65	79	78		0	30	1	2,426,000$
13	Neal Pionk				X	100.00	83	44	81	75	70	85	86	73	25	73	59	85	25	75	77	68	60	75		0	30	2	3,623,000$
14	Brady Skjei				X	100.00	68	43	85	80	79	84	99	72	25	67	54	82	25	80	84	64	58	75		0	32	2	3,753,000$
15	Brayden McNabb				X	100.00	81	45	89	68	81	80	99	61	25	56	48	83	25	84	89	61	60	73	N	0	35	1	3,467,000$
16	Parker Wotherspoon				X	100.00	78	44	94	70	71	75	72	62	25	50	46	80	25	60	61	59	58	67		0	28	2	1,173,000$
17	Henry Thrun				X	100.00	67	64	87	71	80	72	77	59	25	50	47	74	25	61	61	58	56	66		0	25	3	1,691,000$
18	Josh Mahura				X	100.00	77	44	91	73	70	63	81	58	25	49	46	68	25	66	68	59	55	65		0	28	2	1,389,000$
Scratches
Farm Team
1	Jiri Kulich (R)	X		X		100.00	67	42	91	81	73	68	83	73	75	67	80	61	25	54	54	68	57	67		0	22	1	950,000$
2	Riley Tufte		X			100.00	84	88	71	77	88	76	80	66	50	60	68	65	62	49	48	65	57	66		0	28	1	1,171,000$
3	Alex Turcotte	X	X	X		100.00	68	42	91	80	68	59	85	66	46	69	64	62	25	58	58	66	20	64		0	25	2	1,136,000$
4	Jack Finley (R)	X				100.00	85	85	82	69	87	60	60	64	81	59	65	66	62	47	46	63	60	63		0	23	1	896,667$
5	Matthew Phillips			X		100.00	68	57	96	70	57	78	81	65	50	64	62	59	60	47	46	63	49	62		0	28	3	1,431,000$
6	Fabian Lysell (R)			X		100.00	63	41	86	75	68	65	80	66	24	65	61	56	25	48	48	60	47	61		0	23	1	1,065,000$
7	Jonah Gadjovich		X			100.00	95	99	62	74	82	51	61	58	55	49	58	60	25	62	62	60	23	59		0	27	3	1,453,000$
8	Nikita Chibrikov (R)			X		100.00	70	62	90	74	64	57	56	61	50	59	59	58	56	47	46	59	53	58		0	23	3	1,111,000$
9	Noel Gunler (R)		X	X		100.00	71	66	83	68	68	69	73	56	50	51	58	58	56	47	46	57	49	58		0	24	3	1,200,000$
10	Alex Ciernik (R)	X	X	X		100.00	74	65	99	82	67	51	50	53	69	60	43	59	42	47	46	54	50	57		0	21	3	1,296,000$
11	Simon Robertsson (R)			X		100.00	74	70	87	66	72	51	50	57	50	52	57	60	56	46	46	57	41	56		0	23	3	1,292,000$
12	Louis Crevier (R)				X	100.00	87	47	91	82	90	72	64	63	25	45	52	83	25	53	53	61	33	69		0	25	1	925,000$
13	Nikolas Matinpalo (R)				X	100.00	66	43	86	83	79	60	84	60	25	47	50	64	25	51	50	56	49	63		0	27	3	1,471,000$
14	Ethan Bear				X	100.00	75	70	86	69	70	75	79	59	25	53	50	62	48	47	47	59	51	62		0	28	2	2,288,000$
15	Carson Lambos				X	100.00	73	71	82	67	73	76	84	47	25	39	41	57	39	47	46	51	50	59		0	23	3	1,272,000$
16	Ryan Chesley (R)				X	100.00	81	75	99	82	77	49	48	53	25	27	64	64	62	46	46	61	33	57		0	22	3	1,324,000$
17	Ben Gleason				X	100.00	74	71	88	64	71	55	56	52	25	48	40	59	39	47	46	51	38	56		0	28	3	1,215,000$
18	Jorian Donovan (R)				X	100.00	71	75	65	65	77	52	54	46	25	35	40	55	39	47	46	47	49	54		0	22	3	1,263,000$
19	Charles Martin				X	100.00	76	68	99	80	68	33	32	41	25	27	39	59	37	45	45	48	42	53		0	28	1	1,000,000$
20	Colson Gengenbach	X	X	X		100.00	65	59	82	80	59	35	33	42	55	37	43	53	42	46	46	48	28	49		0	25	1	1,000,000$

	TEAM AVERAGE					100.00	75	57	87	77	73	66	76	63	41	58	58	66	39	60	60	62	54	65

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	Dustin Wolf (R)	100.00	81	83	79	60	81	79	71	80	80	79	91	55	55	75	65	73	0	25	2	2,234,000$
2	Dylan Ferguson (R)	100.00	45	43	54	76	44	43	49	51	45	47	30	44	44	47	32	49	0	27	3	1,164,000$
Scratches
1	Jan Bednar (R)	100.00	45	40	50	82	46	87	43	48	88	81	45	45	45	58	53	60	0	23	3	1,073,000$
Farm Team
1	Calle Clang	100.00	51	50	63	77	50	45	46	50	47	49	30	47	47	47	77	52	0	24	1	878,333$
2	Ruslan Khazheyev (R)	100.00	46	45	56	83	44	46	51	53	47	47	30	45	44	46	78	51	0	21	3	1,114,000$

	TEAM AVERAGE	100.00	54	52	60	76	53	60	52	56	61	61	45	47	47	55	61	57

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Andy Chiodo	40	40	40	40	40	40	40	TUR	81	1	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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Frank Vatrano	Rangers	LW/RW	84	60	66	126	-21	78	0	215	125	460	140	254	13.04%	63	1932	23.01	10	9	19	47	177	2	1	3	11	167	5	3	38.75%	160	105	33	2	6	1.30	1	2	0	0	0	10	7	3
2	Conor Garland	Rangers	LW/RW	84	37	60	97	-16	50	20	111	98	300	94	184	12.33%	37	1448	17.25	5	15	20	37	179	0	0	0	0	0	4	3	34.53%	1859	37	19	2	1	1.34	0	0	2	1	1	8	5	5
3	Michael Rasmussen	Rangers	C/LW/RW	84	36	46	82	-23	22	10	135	153	320	95	185	11.25%	56	1681	20.02	6	6	12	25	141	1	2	3	5	206	4	1	41.22%	1589	72	34	0	1	0.98	0	0	0	2	0	4	4	4
4	Rasmus Kupari	Rangers	C/RW	84	35	32	67	1	25	5	117	92	299	91	180	11.71%	38	1277	15.21	0	0	0	0	0	0	0	0	0	0	1	2	53.62%	69	87	33	0	2	1.05	0	1	0	1	0	2	2	2
5	Travis Sanheim	Rangers	D	84	10	50	60	7	101	25	152	194	227	82	86	4.41%	196	2408	28.68	1	1	2	9	125	0	2	2	3	158	1	1	0%	0	55	87	0	0	0.50	0	0	2	1	2	0	2	3
6	Joseph Veleno	Rangers	C	84	23	32	55	-9	20	0	123	129	169	58	110	13.61%	36	1364	16.25	0	0	0	0	7	1	0	1	5	47	1	2	49.33%	1186	29	29	0	0	0.81	0	0	0	0	0	1	0	3
7	Bobby Brink	Rangers	RW	84	21	34	55	-24	24	10	110	65	230	72	135	9.13%	31	1255	14.95	0	0	0	1	3	0	0	0	0	0	2	2	31.34%	67	41	13	0	0	0.88	0	0	0	0	2	2	2	1
8	Vincent Hinostroza	Rangers	RW	84	24	30	54	-1	26	0	115	80	278	81	155	8.63%	24	1274	15.17	0	0	0	0	0	0	0	0	0	0	3	2	44.07%	59	60	15	0	0	0.85	0	0	0	0	0	1	2	3
9	Neal Pionk	Rangers	D	84	7	42	49	-43	64	0	169	155	163	68	57	4.29%	155	2084	24.81	4	9	13	29	201	0	1	1	5	229	1	0	0%	0	26	82	0	0	0.47	0	0	0	0	0	1	3	1
10	Lawson Crouse	Rangers	LW/RW	84	26	23	49	-24	57	5	162	104	166	54	102	15.66%	47	1628	19.39	2	3	5	8	141	1	1	2	7	175	4	2	34.48%	290	28	37	0	0	0.60	1	2	1	0	0	0	1	6
11	Phillip Danault	Rangers	C	84	26	21	47	-13	14	0	126	94	119	43	84	21.85%	52	1645	19.59	4	8	12	17	180	1	2	3	6	181	6	0	55.45%	101	13	41	0	0	0.57	0	0	0	0	0	0	3	3
12	Brady Skjei	Rangers	D	84	4	42	46	-47	61	5	123	168	179	64	76	2.23%	180	2257	26.88	2	8	10	28	198	0	0	0	4	226	0	1	0%	1	43	76	0	0	0.41	0	0	0	0	1	1	0	0
13	Kent Johnson	Rangers	C/LW/RW	84	15	16	31	-6	4	0	26	47	92	30	51	16.30%	10	711	8.47	3	7	10	16	144	0	0	0	2	43	1	0	33.54%	164	19	2	0	0	0.87	0	2	0	0	0	0	0	1
14	Brayden McNabb	Rangers	D	84	3	28	31	-12	20	0	90	140	84	41	41	3.57%	136	1622	19.31	0	1	1	3	126	0	1	1	0	142	0	0	0%	0	6	63	0	0	0.38	0	2	0	0	0	0	0	1
15	Parker Wotherspoon	Rangers	D	84	1	19	20	9	15	5	63	86	46	22	27	2.17%	59	1064	12.67	0	0	0	0	0	0	0	0	0	2	0	0	0%	0	7	28	0	0	0.38	0	0	0	1	0	0	0	0
16	Henry Thrun	Rangers	D	84	1	5	6	-9	12	0	18	38	15	6	9	6.67%	22	627	7.47	0	0	0	0	5	0	0	0	1	54	1	0	0%	0	1	17	0	0	0.19	0	0	0	0	0	0	0	0
17	Nicholas Robertson	Rangers	LW/RW	84	1	2	3	-10	6	0	44	16	14	9	11	7.14%	5	485	5.78	0	0	0	0	7	0	0	0	0	4	0	0	42.86%	7	3	3	0	0	0.12	0	0	0	0	0	0	0	0
18	Josh Mahura	Rangers	D	84	0	0	0	-1	0	0	0	4	0	0	0	0%	3	60	0.72	0	0	0	0	1	0	0	0	0	16	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1512	330	548	878	-242	599	85	1899	1788	3161	1050	1747	10.44%	1150	24831	16.42	37	67	104	220	1642	6	10	16	49	1655	34	19	40.38%	5552	632	612	4	10	0.71	2	9	5	6	6	30	31	36

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	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Dustin Wolf	Rangers	63	26	28	2	0.899	4.26	3197	4	227	2242	1077	3	0.667	3	63	0	3	5	1
2	Jan Bednar	Rangers	42	8	17	1	0.874	5.20	1522	0	132	1044	508	2	0.667	3	21	59	2	0	0
3	Dylan Ferguson	Rangers	12	1	1	0	0.859	5.21	334	0	29	206	139	1	0	0	0	25	0	0	0
Team Total or Average			117	35	46	3	0.889	4.61	5055	4	388	3492	1724	6		6	84	84	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	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
Bobby Brink	Rangers	RW	24	2001-07-08	USA	No	169 Lbs	5 ft8	No	No	N/A		No	No	3	2025-10-22	False	False	Pro & Farm	2,651,000$	110,458$	2,651,000$	110,458$	No	2,651,000$	2,651,000$	-	-	-	-	-	-	-	2,651,000$	2,651,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Brady Skjei	Rangers	D	32	1994-03-26	USA	No	210 Lbs	6 ft3	No	No	N/A		No	Yes	2		False	False	Pro & Farm	3,753,000$	156,375$	3,753,000$	156,375$	No	3,378,000$	-	-	-	-	-	-	-	-	5,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Brayden McNabb	Rangers	D	35	1991-01-21	CAN	No	215 Lbs	6 ft4	Yes	No	N/A		No	Yes	1		False	False	Pro & Farm	3,467,000$	144,458$	3,467,000$	144,458$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Conor Garland	Rangers	LW/RW	30	1996-03-11	USA	No	165 Lbs	5 ft10	Yes	No	N/A		No	Yes	3	2025-10-15	False	False	Pro & Farm	4,000,000$	166,667$	4,000,000$	166,667$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	4,000,000$	4,000,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-	Link / NHL Link
Dustin Wolf	Rangers	G	25	2001-04-16	USA	Yes	166 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	2,234,000$	93,083$	2,234,000$	93,083$	No	2,234,000$	-	-	-	-	-	-	-	-	2,234,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Dylan Ferguson	Rangers	G	27	1998-09-20	CAN	Yes	194 Lbs	6 ft2	No	No	Draft		No	No	3	2025-10-22	False	False	Pro & Farm	1,164,000$	48,500$	1,164,000$	48,500$	No	1,164,000$	1,164,000$	-	-	-	-	-	-	-	1,164,000$	1,164,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Frank Vatrano	Rangers	LW/RW	32	1994-03-14	USA	No	206 Lbs	5 ft11	No	No	Assign Manually		No	Yes	2	2024-09-16	False	False	Pro & Farm	12,255,000$	510,625$	12,255,000$	510,625$	No	12,255,000$	-	-	-	-	-	-	-	-	12,255,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Henry Thrun	Rangers	D	25	2001-03-12	USA	No	210 Lbs	6 ft2	No	No	N/A		No	Yes	3	2025-10-22	False	False	Pro & Farm	1,691,000$	70,458$	1,691,000$	70,458$	No	1,691,000$	1,691,000$	-	-	-	-	-	-	-	1,691,000$	1,691,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jan Bednar	Rangers	G	23	2002-08-26	CZE	Yes	196 Lbs	6 ft4	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,073,000$	44,708$	1,073,000$	44,708$	No	1,073,000$	1,073,000$	-	-	-	-	-	-	-	1,073,000$	1,073,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Joseph Veleno	Rangers	C	26	2000-01-13	CAN	No	201 Lbs	6 ft1	No	No	N/A		No	Yes	3	2025-10-17	False	False	Pro & Farm	1,665,000$	69,375$	1,665,000$	69,375$	No	1,665,000$	1,665,000$	-	-	-	-	-	-	-	1,665,000$	1,665,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Josh Mahura	Rangers	D	28	1998-05-05	CAN	No	193 Lbs	6 ft0	No	No	N/A		No	Yes	2		False	False	Pro & Farm	1,389,000$	57,875$	1,389,000$	57,875$	No	1,389,000$	-	-	-	-	-	-	-	-	1,389,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Kent Johnson	Rangers	C/LW/RW	23	2002-10-18	CAN	No	180 Lbs	6 ft0	No	No	Trade	2024-12-05	No	No	1		False	False	Pro & Farm	850,000$	35,417$	850,000$	35,417$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Lawson Crouse	Rangers	LW/RW	28	1997-06-23	CAN	No	214 Lbs	6 ft4	No	No	Trade	2025-01-20	No	Yes	2		False	False	Pro & Farm	2,816,000$	117,333$	2,816,000$	117,333$	No	2,816,000$	-	-	-	-	-	-	-	-	2,484,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Michael Rasmussen	Rangers	C/LW/RW	27	1999-04-17	CAN	No	220 Lbs	6 ft6	No	No	N/A		No	Yes	2		False	False	Pro & Farm	3,500,000$	145,833$	3,500,000$	145,833$	No	3,500,000$	-	-	-	-	-	-	-	-	3,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Neal Pionk	Rangers	D	30	1995-07-29	USA	No	190 Lbs	6 ft0	No	No	N/A		No	Yes	2		False	False	Pro & Farm	3,623,000$	150,958$	3,623,000$	150,958$	No	3,261,000$	-	-	-	-	-	-	-	-	3,561,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Nicholas Robertson	Rangers	LW/RW	24	2001-09-11	USA	No	178 Lbs	5 ft9	No	No	Assign Manually		No	No	3	2025-08-28	False	False	Pro & Farm	1,600,000$	66,667$	1,600,000$	66,667$	No	1,600,000$	1,600,000$	-	-	-	-	-	-	-	1,600,000$	1,600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Parker Wotherspoon	Rangers	D	28	1997-08-24	CAN	No	192 Lbs	6 ft1	No	No	N/A		No	Yes	2		False	False	Pro & Farm	1,173,000$	48,875$	1,173,000$	48,875$	No	1,173,000$	-	-	-	-	-	-	-	-	1,173,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Phillip Danault (1 Way Contract)	Rangers	C	33	1993-02-24	CAN	No	200 Lbs	6 ft1	No	No	N/A		No	Yes	3	2025-10-15	False	False	Pro & Farm	4,500,000$	187,500$	4,500,000$	187,500$	No	4,500,000$	4,500,000$	-	-	-	-	-	-	-	4,500,000$	4,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Rasmus Kupari	Rangers	C/RW	26	2000-03-15	FIN	No	201 Lbs	6 ft2	No	No	N/A		No	Yes	1		False	False	Pro & Farm	1,322,000$	55,083$	1,322,000$	55,083$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Travis Sanheim	Rangers	D	30	1996-03-29	CAN	No	222 Lbs	6 ft4	No	No	N/A		No	Yes	1		False	False	Pro & Farm	2,426,000$	101,083$	2,426,000$	101,083$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Vincent Hinostroza	Rangers	RW	32	1994-04-03	USA	No	183 Lbs	5 ft10	No	No	N/A		No	Yes	1		False	False	Pro & Farm	1,952,000$	81,333$	1,952,000$	81,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	28.00	195 Lbs	6 ft1	2.14	2,814,476$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
59,104,000$	48,350,000$	18,344,000$	0$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Phillip Danault	Conor Garland	Frank Vatrano	32	0	2	3
2	Bobby Brink	Michael Rasmussen	Lawson Crouse	32	0	2	3
3	Vincent Hinostroza	Joseph Veleno	Rasmus Kupari	31	2	2	1
4	Frank Vatrano	Kent Johnson	Nicholas Robertson	5	3	2	0

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Neal Pionk	Brady Skjei	35	1	3	1
2	Travis Sanheim	Brayden McNabb	35	1	3	1
3	Parker Wotherspoon	Travis Sanheim	28	2	3	0
4	Henry Thrun	Brady Skjei	2	1	4	0

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Phillip Danault	Conor Garland	Frank Vatrano	60	0	1	4
2	Kent Johnson	Michael Rasmussen	Lawson Crouse	40	0	1	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Neal Pionk	Brady Skjei	60	0	1	4
2	Travis Sanheim	Brayden McNabb	40	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Lawson Crouse	Frank Vatrano	50	1	4	0
2	Michael Rasmussen	Phillip Danault	50	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Neal Pionk	Brady Skjei	60	1	4	0
2	Travis Sanheim	Brayden McNabb	40	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Frank Vatrano	60	1	4	0	Neal Pionk	Brady Skjei	60	1	4	0
2	Michael Rasmussen	40	1	4	0	Travis Sanheim	Brayden McNabb	40	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Lawson Crouse	Frank Vatrano	50	1	2	2
2	Michael Rasmussen	Phillip Danault	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Neal Pionk	Brady Skjei	60	1	3	1
2	Travis Sanheim	Brayden McNabb	40	1	3	1

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Phillip Danault	Conor Garland	Frank Vatrano	Neal Pionk	Brady Skjei

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Phillip Danault	Conor Garland	Frank Vatrano	Neal Pionk	Brady Skjei

Extra Forwards
Normal	PowerPlay	Penalty Kill
Frank Vatrano, Michael Rasmussen, Lawson Crouse	Frank Vatrano, Michael Rasmussen	Michael Rasmussen

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Brady Skjei, Travis Sanheim, Neal Pionk	Brady Skjei	Travis Sanheim, Brady Skjei

Penalty Shots
Frank Vatrano, Kent Johnson, Lawson Crouse, Michael Rasmussen, Phillip Danault

Goalie
#1 : Dustin Wolf, #2 : Dylan Ferguson

Custom OT Lines Forwards
Frank Vatrano, Conor Garland, Lawson Crouse, Phillip Danault, Bobby Brink, Michael Rasmussen, Nicholas Robertson, Kent Johnson, Vincent Hinostroza, Joseph Veleno

Custom OT Lines Defensemen
Neal Pionk, Brady Skjei, Travis Sanheim, Brayden McNabb, Parker Wotherspoon

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	Avalanche	2	1	1	0	0	0	0	0	10	12	-2	1	1	0	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	3	7	-4	2	0.500	10	18	28	0	0	2	5	3	0	78	23	36	19	0	84	30	18	41	5	1	20.00%	9	3	66.67%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	37	19	45	18	37	19
2	Blackhawks	2	0	2	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	7	13	20	0	0	3	1	3	0	58	19	12	27	0	79	20	10	43	6	1	16.67%	5	3	40.00%	1	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	37	18	39	19	42	20
3	Blue Jackets	4	0	3	0	1	0	0	0	8	17	-9	1	0	1	0	0	0	0	0	1	7	-6	3	0	2	0	1	0	0	0	7	10	-3	2	0.250	8	14	22	0	0	3	2	2	1	142	36	48	55	3	183	71	39	91	8	0	0.00%	17	2	88.24%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	72	37	96	38	72	34
4	Blues	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	0	1	1	0	43	9	11	23	0	54	14	10	24	0	0	0%	5	0	100.00%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	17	9	24	9	18	8
5	Bruins	2	1	1	0	0	0	0	0	6	9	-3	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	3	8	-5	2	0.500	6	11	17	0	0	2	2	2	0	76	33	26	17	0	92	35	23	54	4	1	25.00%	10	3	70.00%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	44	24	41	17	34	18
6	Canadiens	2	2	0	0	0	0	0	0	12	10	2	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	6	5	1	4	1.000	12	18	30	0	0	2	7	3	0	72	23	26	23	0	87	32	6	33	5	1	20.00%	3	0	100.00%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	39	20	42	18	38	19
7	Canucks	2	1	1	0	0	0	0	0	5	8	-3	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	5	10	15	0	0	1	2	2	0	68	17	33	18	0	80	24	17	45	6	0	0.00%	6	0	100.00%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	40	21	43	18	36	18
8	Capitals	5	1	4	0	0	0	0	0	18	28	-10	3	1	2	0	0	0	0	0	11	16	-5	2	0	2	0	0	0	0	0	7	12	-5	2	0.200	18	29	47	0	0	3	5	10	0	161	53	40	68	0	221	74	49	114	9	0	0.00%	23	2	91.30%	1	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	83	39	121	47	94	46
9	Coyotes	2	1	0	0	1	0	0	0	9	4	5	1	1	0	0	0	0	0	0	6	2	4	1	0	0	0	1	0	0	0	3	2	1	4	1.000	9	13	22	0	0	2	3	3	1	90	18	41	30	1	75	20	2	46	6	2	33.33%	1	0	100.00%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	45	24	34	17	40	21
10	Devils	5	0	4	0	0	0	0	1	13	29	-16	2	0	1	0	0	0	0	1	5	9	-4	3	0	3	0	0	0	0	0	8	20	-12	1	0.100	13	24	37	0	0	2	7	4	0	193	59	79	52	6	205	58	31	133	15	2	13.33%	13	1	92.31%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	105	57	105	44	94	47
11	Ducks	2	0	2	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	5	10	15	0	0	1	0	4	0	58	11	21	26	0	106	26	19	44	8	1	12.50%	6	1	83.33%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	34	17	49	19	35	17
12	Flames	2	0	0	0	0	1	1	0	11	11	0	1	0	0	0	0	0	1	0	7	6	1	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	11	19	30	0	0	3	2	5	2	79	19	24	36	3	77	23	20	38	3	1	33.33%	10	1	90.00%	1	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	39	20	47	20	39	18
13	Flyers	5	5	0	0	0	0	0	0	34	14	20	3	3	0	0	0	0	0	0	23	9	14	2	2	0	0	0	0	0	0	11	5	6	10	1.000	34	53	87	0	0	8	19	7	0	186	59	71	56	0	201	88	63	124	18	3	16.67%	14	2	85.71%	1	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	103	54	102	47	94	49
14	Golden Knights	2	1	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	9	14	23	0	0	5	2	2	0	69	31	20	18	0	67	14	6	52	8	3	37.50%	3	1	66.67%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	40	19	38	18	41	21
15	Islanders	5	1	2	0	1	1	0	0	17	18	-1	2	1	1	0	0	0	0	0	8	7	1	3	0	1	0	1	1	0	0	9	11	-2	5	0.500	17	26	43	0	0	3	10	3	1	214	55	93	64	2	192	61	36	97	11	0	0.00%	19	2	89.47%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	101	54	108	46	90	45
16	Jets	3	1	2	0	0	0	0	0	11	18	-7	2	0	2	0	0	0	0	0	7	15	-8	1	1	0	0	0	0	0	0	4	3	1	2	0.333	11	18	29	0	0	6	1	4	0	103	43	33	27	0	122	44	17	69	8	2	25.00%	6	1	83.33%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	60	31	61	27	57	29
17	Kings	3	1	2	0	0	0	0	0	11	15	-4	1	0	1	0	0	0	0	0	3	4	-1	2	1	1	0	0	0	0	0	8	11	-3	2	0.333	11	18	29	0	0	2	7	2	0	120	36	36	48	0	133	52	24	60	2	1	50.00%	12	1	91.67%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	56	30	72	27	50	23
18	Lightning	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	8	13	21	0	0	4	1	3	0	59	18	24	17	0	86	24	18	32	1	0	0.00%	9	3	66.67%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	33	15	45	21	41	18
19	Maple Leafs	4	2	2	0	0	0	0	0	16	17	-1	2	1	1	0	0	0	0	0	7	9	-2	2	1	1	0	0	0	0	0	9	8	1	4	0.500	16	24	40	0	0	4	6	6	0	161	48	64	49	0	113	38	23	127	19	5	26.32%	9	4	55.56%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	85	44	73	37	81	40
20	Oilers	2	1	1	0	0	0	0	0	10	10	0	1	0	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	4	3	1	2	0.500	10	16	26	0	0	3	4	3	0	79	23	27	29	0	91	29	10	36	5	2	40.00%	5	0	100.00%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	40	23	45	18	34	16
21	Panthers	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	7	11	0	0	1	2	1	0	80	36	25	19	0	74	24	12	53	9	0	0.00%	6	1	83.33%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	44	24	39	17	35	19
22	Penguins	5	3	2	0	0	0	0	0	25	16	9	3	1	2	0	0	0	0	0	11	12	-1	2	2	0	0	0	0	0	0	14	4	10	6	0.600	25	42	67	0	0	7	8	10	0	207	77	64	66	0	208	55	47	116	12	6	50.00%	21	6	71.43%	1	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	103	56	103	46	93	46
23	Predators	2	0	2	0	0	0	0	0	8	13	-5	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	8	11	19	0	0	0	3	5	0	94	20	33	41	0	74	18	8	49	3	1	33.33%	4	3	25.00%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	41	23	38	18	39	19
24	Red Wings	2	0	2	0	0	0	0	0	5	13	-8	1	0	1	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	5	7	12	0	0	1	1	3	0	62	20	21	21	0	104	37	16	37	2	0	0.00%	8	2	75.00%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	34	18	48	20	37	17
25	Sabres	2	0	1	0	1	0	0	0	10	11	-1	1	0	1	0	0	0	0	0	4	6	-2	1	0	0	0	1	0	0	0	6	5	1	2	0.500	10	20	30	0	0	1	5	3	1	71	22	29	18	2	97	27	4	48	3	1	33.33%	2	0	100.00%	1	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	38	20	47	19	36	18
26	Senators	2	1	1	0	0	0	0	0	9	7	2	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	6	2	4	2	0.500	9	14	23	0	0	2	3	4	0	67	16	35	16	0	103	34	19	43	1	0	0.00%	7	2	71.43%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	35	18	49	18	34	17
27	Sharks	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	4	1	4	1.000	10	17	27	0	0	2	2	6	0	78	26	23	29	0	73	22	6	37	2	0	0.00%	3	1	66.67%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	41	22	38	18	40	19
28	Stars	3	1	1	0	1	0	0	0	18	16	2	1	0	1	0	0	0	0	0	3	4	-1	2	1	0	0	1	0	0	0	15	12	3	4	0.667	18	30	48	0	0	6	4	7	1	126	45	41	39	1	123	43	20	63	5	2	40.00%	10	3	70.00%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	57	30	67	28	57	27
29	Whalers	5	0	4	0	1	0	0	0	17	27	-10	3	0	3	0	0	0	0	0	6	16	-10	2	0	1	0	1	0	0	0	11	11	0	2	0.200	17	30	47	0	0	7	6	3	1	190	63	77	48	2	203	84	28	105	7	1	14.29%	14	1	92.86%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	102	57	105	48	93	45
30	Wild	2	0	2	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	3	5	8	0	0	0	1	2	0	77	27	15	35	0	85	29	2	45	8	0	0.00%	1	0	100.00%	0	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	37	20	45	18	36	17
	Total	84	28	46	0	6	2	1	1	331	389	-58	42	15	25	0	0	0	1	1	164	193	-29	42	13	21	0	6	2	0	0	167	196	-29	73	0.435	331	548	879	0	0	86	122	116	8	3161	985	1128	1034	20	3492	1150	603	1899	199	37	18.59%	261	49	81.23%	6	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	1658	874	1823	790	1579	786
	_Since Last GM Reset	84	28	46	0	6	2	1	1	331	389	-58	42	15	25	0	0	0	1	1	164	193	-29	42	13	21	0	6	2	0	0	167	196	-29	73	0.435	331	548	879	0	0	86	122	116	8	3161	985	1128	1034	20	3492	1150	603	1899	199	37	18.59%	261	49	81.23%	6	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	1658	874	1823	790	1579	786
	_Vs Conference	52	18	28	0	4	1	0	1	202	228	-26	26	10	15	0	0	0	0	1	98	117	-19	26	8	13	0	4	1	0	0	104	111	-7	46	0.442	202	332	534	0	0	50	84	64	4	1941	618	722	589	15	2169	742	414	1207	124	20	16.13%	175	31	82.29%	4	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	1028	542	1130	489	972	486
	_Vs Division	34	10	19	0	3	1	0	1	132	149	-17	17	6	10	0	0	0	0	1	65	76	-11	17	4	9	0	3	1	0	0	67	73	-6	28	0.412	132	218	350	0	0	33	57	39	3	1293	402	472	409	13	1413	491	293	780	80	12	15.00%	121	16	86.78%	3	776	1902	40.80%	898	2201	40.80%	568	1421	39.97%	671	356	742	320	634	316

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
84	73	L1	331	548	879	3161	3492	1150	603	1899	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
84	28	46	6	2	1	1	331	389

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
42	15	25	0	0	1	1	164	193

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
42	13	21	6	2	0	0	167	196

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	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
199	37	18.59%	261	49	81.23%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
985	1128	1034	20	86	122	116	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
776	1902	40.80%	898	2201	40.80%	568	1421	39.97%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1658	874	1823	790	1579	786

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
2	15	Whalers	3	Rangers	2	L			Box score
3	33	Penguins	4	Rangers	3	L			Box score
4	44	Rangers	1	Blue Jackets	4	L			Box score
6	66	Flyers	4	Rangers	5	W			Box score
7	86	Rangers	4	Maple Leafs	7	L			Box score
8	95	Rangers	3	Devils	7	L			Box score
9	108	Capitals	3	Rangers	5	W			Box score
10	126	Islanders	4	Rangers	3	L			Box score
12	142	Rangers	4	Capitals	5	L			Box score
13	150	Rangers	3	Blue Jackets	4	L			Box score
14	164	Maple Leafs	5	Rangers	0	L			Box score
15	179	Rangers	6	Stars	4	W			Box score
16	185	Rangers	3	Islanders	2	W	X		Box score
18	210	Flyers	4	Rangers	11	W			Box score
19	223	Rangers	3	Kings	2	W			Box score
20	237	Capitals	7	Rangers	2	L			Box score
21	256	Rangers	7	Flyers	3	W			Box score
23	270	Predators	7	Rangers	4	L			Box score
24	289	Rangers	6	Whalers	7	L			Box score
25	304	Sabres	6	Rangers	4	L			Box score
26	317	Rangers	2	Panthers	4	L			Box score
27	331	Wild	4	Rangers	1	L			Box score
29	349	Rangers	2	Red Wings	5	L			Box score
30	361	Flames	6	Rangers	7	W	X	X	Box score
31	380	Rangers	2	Wild	6	L			Box score
33	394	Islanders	3	Rangers	5	W			Box score
34	410	Rangers	3	Islanders	5	L			Box score
35	423	Panthers	4	Rangers	2	L			Box score
36	440	Rangers	4	Jets	3	W			Box score
37	452	Blues	5	Rangers	2	L			Box score
39	471	Rangers	6	Canadiens	5	W			Box score
40	483	Coyotes	2	Rangers	6	W			Box score
41	503	Rangers	4	Flames	5	L	X		Box score
42	517	Kings	4	Rangers	3	L			Box score
44	540	Red Wings	8	Rangers	3	L			Box score
45	551	Rangers	4	Flyers	2	W			Box score
46	564	Rangers	4	Predators	6	L			Box score
47	580	Senators	5	Rangers	3	L			Box score
50	601	Flyers	1	Rangers	7	W			Box score
51	617	Rangers	3	Coyotes	2	W	X		Box score
52	633	Canucks	1	Rangers	3	W			Box score
54	647	Rangers	6	Sabres	5	W	X		Box score
55	662	Stars	4	Rangers	3	L			Box score
57	681	Rangers	3	Capitals	7	L			Box score
58	698	Blackhawks	6	Rangers	3	L			Box score
59	715	Rangers	3	Blue Jackets	2	W	X		Box score
60	725	Rangers	3	Islanders	4	L	X		Box score
61	735	Capitals	6	Rangers	4	L			Box score
63	757	Sharks	2	Rangers	5	W			Box score
64	778	Rangers	5	Kings	9	L			Box score
65	787	Maple Leafs	4	Rangers	7	W			Box score
67	802	Rangers	2	Canucks	7	L			Box score
68	819	Lightning	3	Rangers	5	W			Box score
70	842	Ducks	4	Rangers	3	L			Box score
72	859	Rangers	4	Oilers	3	W			Box score
73	873	Rangers	5	Whalers	4	W	X		Box score
74	881	Jets	7	Rangers	3	L			Box score
75	895	Rangers	6	Senators	2	W			Box score
76	909	Devils	4	Rangers	3	L	X	X	Box score
77	923	Rangers	2	Ducks	8	L			Box score
78	940	Jets	8	Rangers	4	L			Box score
81	960	Rangers	3	Avalanche	7	L			Box score
82	975	Rangers	3	Bruins	8	L			Box score
83	987	Blue Jackets	7	Rangers	1	L			Box score
84	1004	Oilers	7	Rangers	6	L			Box score
87	1029	Rangers	4	Devils	8	L			Box score
88	1038	Avalanche	5	Rangers	7	W			Box score
89	1059	Canadiens	5	Rangers	6	W			Box score
90	1071	Rangers	9	Stars	8	W	X		Box score
92	1083	Rangers	4	Blackhawks	6	L			Box score
93	1098	Whalers	6	Rangers	3	L			Box score
95	1122	Bruins	1	Rangers	3	W			Box score
96	1142	Rangers	3	Golden Knights	5	L			Box score
Trade Deadline --- Trades can’t be done after this day is simulated!
97	1152	Whalers	7	Rangers	1	L			Box score
98	1159	Rangers	1	Devils	5	L			Box score
100	1184	Penguins	5	Rangers	3	L			Box score
101	1196	Rangers	7	Penguins	3	W			Box score
103	1207	Rangers	5	Sharks	4	W			Box score
104	1219	Golden Knights	4	Rangers	6	W			Box score
105	1226	Rangers	7	Penguins	1	W			Box score
106	1237	Rangers	5	Maple Leafs	1	W			Box score
108	1257	Penguins	3	Rangers	5	W			Box score
111	1281	Rangers	3	Lightning	1	W			Box score
112	1287	Devils	5	Rangers	2	L			Box score
116	1315	Blue Jackets	-	Rangers	-
117	1330	Rangers	-	Blues	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	102	55	40	25	205
Attendance	177,231	200,144	67,379	122,030	29,090
Attendance PCT	70.33%	95.31%	80.21%	72.64%	69.26%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
1	14187 - 78.82%	1,447,246$	60,784,311$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
57,599,705$	59,104,000$	59,104,000$	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
492,533$	56,641,295$	0$	21	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,447,246$	5	500,867$	2,504,335$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
2,504,335$	122,577,800$	121,520,711$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
59,103,960$	15,396,040$	74,500,000$	603,960$

Depth Chart

Left Wing

Center

Right Wing

Frank Vatrano	AGE:32	PO:75	OV:77
Conor Garland	AGE:30	PO:73	OV:75
Kent Johnson	AGE:23	PO:77	OV:73
Michael Rasmussen	AGE:27	PO:67	OV:71
Lawson Crouse	AGE:28	PO:67	OV:69
Riley Tufte	AGE:28	PO:65	OV:66
Nicholas Robertson	AGE:24	PO:68	OV:65
Alex Turcotte	AGE:25	PO:66	OV:64
Jonah Gadjovich	AGE:27	PO:60	OV:59
Noel Gunler (R)	AGE:24	PO:57	OV:58
Alex Ciernik (R)	AGE:21	PO:54	OV:57
Colson Gengenbach	AGE:25	PO:48	OV:49

Kent Johnson	AGE:23	PO:77	OV:73
Phillip Danault	AGE:33	PO:67	OV:72
Michael Rasmussen	AGE:27	PO:67	OV:71
Rasmus Kupari	AGE:26	PO:63	OV:68
Jiri Kulich (R)	AGE:22	PO:68	OV:67
Joseph Veleno	AGE:26	PO:64	OV:66
Alex Turcotte	AGE:25	PO:66	OV:64
Jack Finley (R)	AGE:23	PO:63	OV:63
Alex Ciernik (R)	AGE:21	PO:54	OV:57
Colson Gengenbach	AGE:25	PO:48	OV:49

Frank Vatrano	AGE:32	PO:75	OV:77
Conor Garland	AGE:30	PO:73	OV:75
Kent Johnson	AGE:23	PO:77	OV:73
Michael Rasmussen	AGE:27	PO:67	OV:71
Bobby Brink	AGE:24	PO:70	OV:70
Lawson Crouse	AGE:28	PO:67	OV:69
Rasmus Kupari	AGE:26	PO:63	OV:68
Jiri Kulich (R)	AGE:22	PO:68	OV:67
Vincent Hinostroza	AGE:32	PO:64	OV:67
Nicholas Robertson	AGE:24	PO:68	OV:65
Alex Turcotte	AGE:25	PO:66	OV:64
Matthew Phillips	AGE:28	PO:63	OV:62
Fabian Lysell (R)	AGE:23	PO:60	OV:61
Nikita Chibrikov (R)	AGE:23	PO:59	OV:58
Noel Gunler (R)	AGE:24	PO:57	OV:58
Alex Ciernik (R)	AGE:21	PO:54	OV:57
Simon Robertsson (R)	AGE:23	PO:57	OV:56
Colson Gengenbach	AGE:25	PO:48	OV:49

Defense #1

Defense #2

Goalie

Travis Sanheim	AGE:30	PO:65	OV:78
Neal Pionk	AGE:30	PO:68	OV:75
Brady Skjei	AGE:32	PO:64	OV:75
Brayden McNabb	AGE:35	PO:61	OV:73
Louis Crevier (R)	AGE:25	PO:61	OV:69
Parker Wotherspoon	AGE:28	PO:59	OV:67
Henry Thrun	AGE:25	PO:58	OV:66
Josh Mahura	AGE:28	PO:59	OV:65

Nikolas Matinpalo (R)	AGE:27	PO:56	OV:63
Ethan Bear	AGE:28	PO:59	OV:62
Carson Lambos	AGE:23	PO:51	OV:59
Ryan Chesley (R)	AGE:22	PO:61	OV:57
Ben Gleason	AGE:28	PO:51	OV:56
Jorian Donovan (R)	AGE:22	PO:47	OV:54
Charles Martin	AGE:28	PO:48	OV:53

Dustin Wolf (R)	AGE:25	PO:75	OV:73
Jan Bednar (R)	AGE:23	PO:58	OV:60
Calle Clang	AGE:24	PO:47	OV:52
Ruslan Khazheyev (R)	AGE:21	PO:46	OV:51
Dylan Ferguson (R)	AGE:27	PO:47	OV:49

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	Last Trade Date	Link
Alex Formenton	Rangers	2017	59		Link
Alexander Pashin	Rangers	2020	123
Alexis Bernier	Rangers	2024	104
Alexis Gravel	Rangers	2018	132
Andrew Cristall	Rangers	2023	19
Anton Slepyshev	Rangers	0	0
Asher Barnett	Rangers	2025	136
Atte Tolvanen	Rangers	0	0
Benjamin Gaudreau	Rangers	2021	61
Blake Vanek	Rangers	2025	105
Bogdan Yakimov	Rangers	0	0
Boo Nieves	Rangers	0	0		Link
Brennan Ali	Rangers	2022	209
Cameron Talbot	Rangers	0	0
Carsen Musser	Rangers	2023	112
Carter Savoie	Rangers	2020	92		Link
Charlie Cerrato	Rangers	2025	51
Cole Reschny	Rangers	2025	12
Daniel Salonen	Rangers	2025	198
Daniil But	Rangers	2023	23	2024-12-05
Danila Yurov	Rangers	2022	23
Eetu Tuulola	Rangers	2016	133		Link
Emil Hemming	Rangers	2024	42
Filip Ahl	Rangers	2015	102
Giovanni Vallati	Rangers	2018	94
Gustav Bouramman	Rangers	0	0
Ivan Chekhovich	Rangers	2017	165		Link
Ivan Zhigalov	Rangers	2022	178
Jack Berglund	Rangers	2024	73
Jan Golicic	Rangers	2024	135
Jeremy Gregoire	Rangers	0	0		Link
Joe Carroll	Rangers	0	0		Link
Jordan Nolan	Rangers	0	0		Link
Josef Korenar	Rangers	0	0		Link
Justin Williams	Rangers	0	0		Link
Kirill Maksimov	Rangers	2017	134
Lukas Dragicevic	Rangers	2023	50
Mans Goos	Rangers	2025	165	2025-10-15
Markus Loponen	Rangers	2024	166
Markus Niemelainen	Rangers	2016	46		Link
Matthew Strome	Rangers	2017	95		Link
Mikhail Gulyayev	Rangers	2023	29
Nikita Korostelev	Rangers	0	0
Oscar Lindberg	Rangers	0	0
Ostap Safin	Rangers	2017	56		Link
Otto Leskinen	Rangers	0	0		Link
Parker Alcos	Rangers	2024	197
Patrik Puistola	Rangers	2019	67
Peetro Seppala	Rangers	0	0		Link
Radovan Bondra	Rangers	2015	155
Ryan Pilon	Rangers	2015	75
Sampo Ranta	Rangers	2018	83		Link
Sean Barnhill	Rangers	2025	74
Semyon Frolov	Rangers	2025	43
Tyler Soy	Rangers	2016	193
Tyler Tullio	Rangers	2020	127		Link
Vitaly Abramov	Rangers	0	0		Link
Xavier Bouchard	Rangers	2018	142
Yegor Velmakin	Rangers	2023	205
Zeb Forsfjall	Rangers	2023	174

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2026
2027
2028
2029
2030
Conditional Draft Picks

No News Found in News Database. Please create a news.

Rangers Trade History

[4/13/2026 2:26:20 PM] New Record for Team's Most Shots Blocked (27) in 1 Game for Rangers!
[2/11/2026 7:15:53 PM] Charles Martin was added to Rangers.

No Injury or Suspension.

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

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

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

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

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

	Rangers
	GP: 84 \| W: 35 \| L: 46 \| OTL: 3 \| P: 73 GF: 331 \| GA: 389 \| PP%: 18.59% \| PK%: 81.23% GM : Blane Dermott \| Morale : 34 \| Team Overall : 69 Next Games #1315 vs Blue Jackets