LHSDB - Ligue de hockey simulee des debiles barbus

Wolfpack
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Depth
Transactions
Records
Web Roster Editor
Web Lines Editor

Show or Hide Column

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Tage Thompson	0	X		X		100.00	61	45	85	81	96	89	90	85	72	80	89	67	85	68	72	76	50	77	0
2	Pavel Buchnevich	0	X	X	X		100.00	62	35	84	81	77	89	86	83	67	84	82	76	80	71	73	54	50	76	0
3	Alex Tuch	0		X	X		100.00	60	38	92	83	90	89	83	79	56	82	80	84	78	69	72	71	50	76	0
4	Bo Horvat (C)	53	X				100.00	65	35	88	78	79	91	88	81	87	75	84	82	81	75	80	71	50	76	0
5	Nick Suzuki (A)	0	X				100.00	62	38	88	78	74	91	90	80	78	79	75	76	80	65	82	83	50	74	0
6	Vincent Trocheck	0	X		X		100.00	85	46	74	79	69	89	90	77	85	78	74	75	79	76	73	53	50	74	0
7	Nikolaj Ehlers	0		X	X		100.00	59	37	91	85	68	88	80	82	60	79	80	64	82	71	68	73	50	73	0
8	Andrew Mangiapane	0		X	X		100.00	64	33	85	78	67	87	90	74	59	72	76	75	78	69	72	42	50	71	0
9	Kailer Yamamoto	0		X	X		100.00	71	32	85	76	60	87	86	73	55	71	70	78	72	66	69	79	50	70	0
10	Mark Jankowski	0	X	X			100.00	75	39	88	65	89	82	80	67	83	66	68	79	62	71	73	66	50	69	0
11	Derek Ryan	0	X		X		100.00	58	33	93	67	68	78	89	64	83	61	65	80	63	78	80	20	50	67	0
12	Matt Nieto	0		X	X		100.00	64	37	93	67	72	83	89	65	59	63	62	76	64	78	72	56	50	67	0
13	Jared Spurgeon (A)	0				X	100.00	61	33	95	75	63	92	87	74	30	79	71	90	58	84	92	26	50	76	0
14	Ivan Provorov	39				X	100.00	66	36	89	76	78	94	90	74	30	75	66	85	56	70	67	83	50	74	0
15	Gustav Forsling	42				X	100.00	61	34	88	73	72	93	89	69	30	78	72	88	56	69	71	50	50	74	0
16	Travis Sanheim	0				X	100.00	61	36	86	73	80	92	90	69	30	75	65	82	55	70	68	71	50	73	0
17	Jaycob Megna	0				X	100.00	75	72	88	62	96	89	82	61	30	72	56	82	49	71	73	38	50	72	0
18	Marc Staal	0				X	100.00	75	41	85	63	88	86	89	58	30	71	57	83	49	89	77	41	50	72	0
Scratches
1	Lukas Sedlak	0	X	X	X		100.00	80	35	87	65	75	80	64	62	76	64	61	76	59	70	72	39	50	65	0
2	Marcus Pettersson	0				X	100.00	78	42	78	66	79	89	86	63	30	76	54	74	49	69	67	64	50	70	0

	TEAM AVERAGE					100.00	67	39	87	74	77	88	86	72	57	74	70	79	67	72	74	58	50	72

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Tristan Jarry	100.00	95	97	92	79	94	93	95	94	93	95	94	72	81	61	50	88	0
2	Antti Raanta	100.00	92	75	69	73	91	90	92	91	90	92	91	78	88	51	50	84	0
Scratches

	TEAM AVERAGE	100.00	94	86	81	76	93	92	94	93	92	94	93	75	85	56	50	86

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Peter DeBoer	80	89	90	85	82	77	66	CAN	55	9	1,000,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Bo Horvat	New York Rangers	C	82	36	55	91	33	36	0	129	205	313	84	220	11.50%	15	1624	19.81	8	19	27	74	261	0	0	0	1	4	7	1	54.18%	2071	0	0	1.12	1	8	0	0	0	4	9	6
2	Alex Tuch	New York Rangers	LW/RW	79	36	46	82	34	19	5	70	122	268	90	219	13.43%	15	1520	19.24	7	17	24	59	239	0	0	0	0	19	7	1	34.11%	129	0	4	1.08	0	0	0	0	1	8	4	6
3	Pavel Buchnevich	New York Rangers	C/LW/RW	82	29	50	79	30	22	0	108	153	269	71	198	10.78%	10	1619	19.75	9	14	23	67	258	0	0	0	1	7	3	3	42.99%	107	0	1	0.98	1	3	0	0	0	3	7	5
4	Nick Suzuki	New York Rangers	C	82	29	45	74	20	30	0	93	194	249	65	149	11.65%	13	1556	18.98	8	16	24	55	246	0	0	0	0	0	4	3	49.54%	1942	0	0	0.95	0	3	0	0	0	9	4	4
5	Tage Thompson	New York Rangers	C/RW	79	32	34	66	15	28	10	109	87	248	56	166	12.90%	7	1503	19.03	7	11	18	41	238	0	0	0	0	0	5	2	53.28%	122	0	1	0.88	1	3	0	1	1	3	3	8
6	Jared Spurgeon	New York Rangers	D	80	10	49	59	3	41	5	68	108	150	42	76	6.67%	108	1881	23.52	6	15	21	83	246	0	0	0	1	188	1	2	0.00%	0	0	0	0.63	0	0	0	0	0	3	3	0
7	Gustav Forsling	New York Rangers	D	82	17	42	59	23	34	0	110	107	134	47	83	12.69%	113	1978	24.13	12	12	24	74	254	0	0	0	2	208	4	0	0.00%	0	0	0	0.60	0	0	0	0	0	4	4	6
8	Nikolaj Ehlers	New York Rangers	LW/RW	84	25	29	54	12	6	0	54	87	226	64	140	11.06%	10	1591	18.95	7	9	16	46	254	0	0	0	1	28	9	0	46.08%	102	0	1	0.68	1	6	0	0	0	3	2	4
9	Vincent Trocheck	New York Rangers	C/RW	77	17	29	46	12	44	0	153	158	180	51	132	9.44%	9	1101	14.31	3	8	11	38	171	0	0	0	0	0	3	3	54.09%	991	1	1	0.83	1	1	0	0	0	4	2	2
10	Andrew Mangiapane	New York Rangers	LW/RW	82	19	20	39	6	12	0	16	81	193	58	153	9.84%	9	1138	13.89	7	7	14	44	196	0	0	0	0	0	7	2	36.23%	69	0	0	0.69	0	0	0	0	0	1	1	5
11	Travis Sanheim	New York Rangers	D	82	8	24	32	16	51	5	115	75	58	20	35	13.79%	82	1634	19.93	0	3	3	9	25	0	1	1	0	152	1	0	0.00%	0	0	0	0.39	0	0	0	0	1	2	2	2
12	Ivan Provorov	New York Rangers	D	76	4	27	31	14	55	5	122	85	82	25	44	4.88%	101	1623	21.37	2	4	6	38	138	0	0	0	2	180	0	0	0.00%	0	0	0	0.38	0	0	0	1	0	0	0	1
13	Kailer Yamamoto	New York Rangers	LW/RW	82	13	18	31	6	12	0	58	75	119	38	112	10.92%	12	1126	13.74	1	0	1	4	14	0	0	0	5	199	1	0	35.16%	91	0	0	0.55	0	0	0	0	0	1	4	2
14	Jaycob Megna	New York Rangers	D	82	0	17	17	25	75	15	92	51	29	13	20	0.00%	51	1161	14.16	0	0	0	1	9	0	0	0	0	65	0	0	0.00%	0	0	0	0.29	0	0	1	1	1	1	0	0
15	Marcus Pettersson	New York Rangers	D	62	1	11	12	23	45	5	99	36	16	4	8	6.25%	34	864	13.94	0	0	0	0	4	0	0	0	0	23	0	0	0.00%	0	0	0	0.28	0	0	0	1	0	1	1	0
16	Marc Staal	New York Rangers	D	74	2	9	11	1	70	0	79	44	18	4	13	11.11%	76	1123	15.18	0	0	0	0	7	0	0	0	0	184	0	0	0.00%	0	0	0	0.20	0	0	0	0	0	0	1	0
17	Mark Jankowski	New York Rangers	C/LW	76	3	7	10	-3	18	0	78	84	64	14	38	4.69%	6	672	8.85	1	0	1	2	5	0	0	0	2	178	0	0	54.98%	804	0	0	0.30	0	0	0	0	0	0	0	0
18	Derek Ryan	New York Rangers	C/RW	82	6	2	8	0	0	0	22	72	40	10	29	15.00%	9	661	8.06	0	0	0	0	3	1	0	1	5	216	2	0	53.36%	446	1	0	0.24	0	0	0	0	0	0	3	2
19	Matt Nieto	New York Rangers	LW/RW	83	3	2	5	-10	4	0	14	33	47	13	56	6.38%	7	687	8.29	0	0	0	0	0	0	0	0	1	181	0	0	44.00%	50	0	0	0.15	0	0	0	0	0	0	0	0
20	Graeme Clarke	Wolfpack (NYR)	C/RW	2	0	1	1	0	0	0	1	0	0	1	0	0.00%	0	9	4.95	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	2.02	0	0	0	0	0	0	0	0
21	Lukas Sedlak	New York Rangers	C/LW/RW	19	0	0	0	-5	6	0	10	4	7	6	3	0.00%	1	112	5.91	0	0	0	0	0	0	0	0	0	18	0	0	44.12%	34	0	0	0.00	0	0	0	0	0	0	0	0
22	Riley Damiani	Wolfpack (NYR)	C	1	0	0	0	-1	0	0	0	0	1	0	1	0.00%	0	3	3.10	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	4	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1530	290	517	807	254	608	50	1600	1861	2711	776	1895	10.70%	688	25196	16.47	78	135	213	635	2575	1	1	2	21	1858	54	17	51.69%	6963	2	8	0.64	5	24	1	4	4	47	50	53

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2
1	Tristan Jarry	New York Rangers	46	27	15	3	0.906	2.29	2729	4	3	104	1107	3	3	0.667	12	45	28	4	4
2	Antti Raanta	New York Rangers	36	22	9	3	0.901	2.48	2082	2	0	86	869	1	4	1.000	9	34	48	0	0
Team Total or Average			82	49	24	6	0.904	2.37	4812	6	3	190	1976	4	7	0.810	21	79	76	4	4

Show or Hide Column

Filter Tips

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

Player Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Alex Tuch	LW/RW	27	1996-05-10	No	219 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	5,000,000$	5,000,000$	0$	No	Link / NHL Link
Andrew Mangiapane	LW/RW	28	1996-04-04	No	184 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	2,500,000$	2,500,000$	0$	No	Link / NHL Link
Antti Raanta	G	34	1989-05-12	No	195 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	1,437,500$	1,437,500$	0$	No	Link / NHL Link
Bo Horvat	C	29	1995-04-05	No	215 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	2,699,000$	2,699,000$	0$	No	Link / NHL Link
Derek Ryan	C/RW	37	1986-12-29	No	185 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	500,000$	500,000$	0$	No	Link / NHL Link
Gustav Forsling	D	27	1996-06-12	No	186 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	2,500,000$	2,500,000$	0$	No	Link / NHL Link
Ivan Provorov	D	27	1997-01-13	No	201 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	3,500,000$	3,500,000$	0$	No	Link / NHL Link
Jared Spurgeon	D	34	1989-11-29	No	166 Lbs	5 ft9	No	No	No	1	UFA	Pro & Farm	5,000,000$	5,000,000$	0$	No	Link / NHL Link
Jaycob Megna	D	31	1992-12-10	No	220 Lbs	6 ft6	No	No	No	2	UFA	Pro & Farm	500,000$	500,000$	0$	No	Link / NHL Link
Kailer Yamamoto	LW/RW	25	1998-09-29	No	153 Lbs	5 ft8	No	No	No	4	RFA	Pro & Farm	1,000,000$	1,000,000$	0$	No	Link / NHL Link
Lukas Sedlak	C/LW/RW	31	1993-02-25	No	205 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	300,000$	300,000$	0$	No	Link / NHL Link
Marc Staal	D	37	1987-01-13	No	208 Lbs	6 ft4	No	No	No	3	UFA	Pro & Farm	1,040,000$	1,040,000$	0$	No	Link / NHL Link
Marcus Pettersson	D	27	1996-05-08	No	177 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	1,000,000$	1,000,000$	0$	No	Link / NHL Link
Mark Jankowski	C/LW	29	1994-09-13	No	212 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	500,000$	500,000$	0$	No	Link / NHL Link
Matt Nieto	LW/RW	31	1992-11-05	No	187 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	1,000,000$	1,000,000$	0$	No	Link / NHL Link
Nick Suzuki	C	24	1999-08-10	No	208 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	900,000$	900,000$	0$	No	Link / NHL Link
Nikolaj Ehlers	LW/RW	28	1996-02-14	No	169 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	3,500,000$	3,500,000$	0$	No	Link / NHL Link
Pavel Buchnevich	C/LW/RW	29	1995-04-17	No	196 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	2,500,000$	2,500,000$	0$	No	Link / NHL Link
Tage Thompson	C/RW	26	1997-10-30	No	220 Lbs	6 ft6	No	No	No	1	RFA	Pro & Farm	3,490,000$	3,490,000$	0$	No	Link / NHL Link
Travis Sanheim	D	28	1996-03-29	No	181 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	2,500,000$	2,500,000$	0$	No	Link / NHL Link
Tristan Jarry	G	28	1995-04-29	No	194 Lbs	6 ft2	No	No	No	4	UFA	Pro & Farm	4,452,500$	4,452,500$	0$	No	Link / NHL Link
Vincent Trocheck	C/RW	30	1993-07-11	No	184 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	3,500,000$	3,500,000$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	29.41	194 Lbs	6 ft1	1.86	2,241,773$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
49,319,000$	24,991,500$	14,992,500$	5,452,500$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nikolaj Ehlers	Bo Horvat	Alex Tuch	35	0	2	3
2	Pavel Buchnevich	Nick Suzuki	Tage Thompson	35	0	2	3
3	Andrew Mangiapane	Vincent Trocheck	Kailer Yamamoto	25	0	3	2
4	Matt Nieto	Mark Jankowski	Derek Ryan	5	1	3	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Forsling	Travis Sanheim	38	0	3	2
2	Ivan Provorov	Jared Spurgeon	38	0	3	2
3	Jaycob Megna	Marc Staal	24	2	3	0
4	Gustav Forsling	Jared Spurgeon	0	0	2	3

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Pavel Buchnevich	Bo Horvat	Alex Tuch	50	0	0	5
2	Nikolaj Ehlers	Nick Suzuki	Tage Thompson	50	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Forsling	Vincent Trocheck	50	0	1	4
2	Andrew Mangiapane	Jared Spurgeon	50	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mark Jankowski	Matt Nieto	50	1	4	0
2	Derek Ryan	Kailer Yamamoto	50	0	4	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Forsling	Ivan Provorov	50	1	4	0
2	Marc Staal	Jared Spurgeon	50	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Bo Horvat	50	0	5	0	Gustav Forsling	Ivan Provorov	50	0	5	0
2	Derek Ryan	50	0	5	0	Jaycob Megna	Jared Spurgeon	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Bo Horvat	Alex Tuch	50	1	2	2
2	Vincent Trocheck	Pavel Buchnevich	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Forsling	Travis Sanheim	50	1	2	2
2	Ivan Provorov	Jared Spurgeon	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Pavel Buchnevich	Bo Horvat	Tage Thompson	Alex Tuch	Jared Spurgeon

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Tuch	Bo Horvat	Derek Ryan	Gustav Forsling	Jared Spurgeon

Extra Forwards
Normal	PowerPlay	Penalty Kill
Bo Horvat, Tage Thompson, Andrew Mangiapane	Tage Thompson, Bo Horvat	Alex Tuch

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jared Spurgeon, Gustav Forsling, Ivan Provorov	Jared Spurgeon	Jared Spurgeon, Gustav Forsling

Penalty Shots
Bo Horvat, Nikolaj Ehlers, Tage Thompson, Pavel Buchnevich, Nick Suzuki

Goalie
#1 : Antti Raanta, #2 : Tristan Jarry

Custom OT Lines Forwards
Bo Horvat, Alex Tuch, Tage Thompson, Pavel Buchnevich, Nick Suzuki, Nikolaj Ehlers, Nikolaj Ehlers, Vincent Trocheck, Andrew Mangiapane, Mark Jankowski, Kailer Yamamoto

Custom OT Lines Defensemen
Jared Spurgeon, Gustav Forsling, Travis Sanheim, Ivan Provorov, Jaycob Megna

Show or Hide Column

Filter Tips

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	123	W1	293	514	807	2678	2082	629	582	1589	6	7

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	49	17	5	3	4	4	293	194

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	24	9	3	1	2	2	155	105

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	25	8	2	2	2	2	138	89

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	2	0	0	1	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
309	76	24.60%	239	32	86.61%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
887	849	896	69	95	102	87	9

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1533	3033	50.54%	1368	2577	53.08%	707	1285	55.02%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2052	1438	1873	597	1053	538

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
3 - 2023-08-12	10	New York Rangers	3	Buffalo Sabres	4	L	X	X	BoxScore
5 - 2023-08-14	22	New York Rangers	4	Columbus Jackets	2	W			BoxScore
7 - 2023-08-16	37	Phoenix Coyotes	2	New York Rangers	4	W			BoxScore
10 - 2023-08-19	53	Nashville Predators	3	New York Rangers	4	W	X	X	BoxScore
12 - 2023-08-21	77	New York Rangers	1	Seattle Kraken	0	W			BoxScore
15 - 2023-08-24	96	New York Rangers	5	Calgary Flames	0	W			BoxScore
17 - 2023-08-26	110	New York Rangers	4	Edmonton Oilers	3	W	X		BoxScore
19 - 2023-08-28	124	New York Rangers	6	Vancouver Canucks	0	W			BoxScore
21 - 2023-08-30	134	New York Rangers	6	Winnipeg Jets	2	W			BoxScore
24 - 2023-09-02	148	Carolina Hurricanes	1	New York Rangers	3	W			BoxScore
26 - 2023-09-04	169	New York Rangers	4	Minnesota Wild	2	W			BoxScore
29 - 2023-09-07	183	Detroit Red Wings	3	New York Rangers	6	W			BoxScore
31 - 2023-09-09	196	Minnesota Wild	2	New York Rangers	5	W			BoxScore
34 - 2023-09-12	225	Columbus Jackets	4	New York Rangers	1	L			BoxScore
40 - 2023-09-18	262	New York Rangers	3	New Jersey Devils	0	W			BoxScore
42 - 2023-09-20	274	New York Rangers	3	Dallas Stars	1	W			BoxScore
44 - 2023-09-22	283	New York Rangers	1	Pittsburgh Penguins	2	L	X	X	BoxScore
46 - 2023-09-24	294	New York Rangers	3	Philadelphia Flyers	5	L			BoxScore
47 - 2023-09-25	308	Boston Bruins	4	New York Rangers	3	L	X		BoxScore
49 - 2023-09-27	322	Buffalo Sabres	1	New York Rangers	4	W			BoxScore
51 - 2023-09-29	338	Detroit Red Wings	1	New York Rangers	4	W			BoxScore
54 - 2023-10-02	358	New York Rangers	5	Nashville Predators	0	W			BoxScore
55 - 2023-10-03	370	San Jose Sharks	1	New York Rangers	2	W			BoxScore
57 - 2023-10-05	382	New York Rangers	2	Ottawa Senators	4	L			BoxScore
61 - 2023-10-09	414	New York Rangers	3	Washington Capitals	4	L	X		BoxScore
62 - 2023-10-10	424	Los Angeles Kings	3	New York Rangers	1	L			BoxScore
64 - 2023-10-12	432	Toronto Leafs	5	New York Rangers	3	L			BoxScore
67 - 2023-10-15	456	Anaheim Ducks	0	New York Rangers	4	W			BoxScore
68 - 2023-10-16	463	New York Rangers	2	Boston Bruins	4	L			BoxScore
71 - 2023-10-19	489	New York Rangers	2	Toronto Leafs	1	W			BoxScore
74 - 2023-10-22	511	Edmonton Oilers	2	New York Rangers	4	W			BoxScore
75 - 2023-10-23	522	Buffalo Sabres	3	New York Rangers	4	W			BoxScore
79 - 2023-10-27	529	Washington Capitals	3	New York Rangers	2	L			BoxScore
81 - 2023-10-29	548	New York Rangers	1	Florida Panthers	2	L			BoxScore
82 - 2023-10-30	560	New York Rangers	3	Tampa Lightning	2	W			BoxScore
85 - 2023-11-02	575	Carolina Hurricanes	3	New York Rangers	4	W	X		BoxScore
87 - 2023-11-04	591	Chicago Blackhawks	1	New York Rangers	6	W			BoxScore
89 - 2023-11-06	611	New York Rangers	5	Montreal Canadiens	1	W			BoxScore
91 - 2023-11-08	621	Vancouver Canucks	4	New York Rangers	5	W	X	X	BoxScore
94 - 2023-11-11	647	New York Rangers	3	St-Louis Blues	2	W			BoxScore
96 - 2023-11-13	653	New York Rangers	2	Washington Capitals	3	L			BoxScore
97 - 2023-11-14	669	Washington Capitals	4	New York Rangers	5	W	X		BoxScore
99 - 2023-11-16	681	Seattle Kraken	1	New York Rangers	4	W			BoxScore
101 - 2023-11-18	701	New York Rangers	2	Vegas Knights	3	L			BoxScore
103 - 2023-11-20	717	New York Rangers	6	Los Angeles Kings	3	W			BoxScore
104 - 2023-11-21	722	New York Rangers	2	Anaheim Ducks	0	W			BoxScore
106 - 2023-11-23	738	New York Rangers	6	San Jose Sharks	2	W			BoxScore
109 - 2023-11-26	755	Vegas Knights	2	New York Rangers	5	W			BoxScore
110 - 2023-11-27	766	New York Rangers	6	Ottawa Senators	1	W			BoxScore
119 - 2023-12-06	781	Colorado Avalanche	2	New York Rangers	7	W			BoxScore
121 - 2023-12-08	791	Tampa Lightning	1	New York Rangers	4	W			BoxScore
123 - 2023-12-10	802	New York Rangers	4	Chicago Blackhawks	2	W			BoxScore
126 - 2023-12-13	820	Calgary Flames	7	New York Rangers	3	L			BoxScore
129 - 2023-12-16	840	Montreal Canadiens	1	New York Rangers	5	W			BoxScore
132 - 2023-12-19	863	New York Rangers	4	New York Islanders	3	W	X		BoxScore
134 - 2023-12-21	877	Dallas Stars	2	New York Rangers	3	W			BoxScore
136 - 2023-12-23	891	New York Rangers	3	New Jersey Devils	5	L			BoxScore
138 - 2023-12-25	905	New York Rangers	2	Philadelphia Flyers	1	W	X	X	BoxScore
139 - 2023-12-26	921	New York Rangers	3	Columbus Jackets	2	W			BoxScore
142 - 2023-12-29	939	Columbus Jackets	2	New York Rangers	1	L			BoxScore
145 - 2024-01-01	964	New York Rangers	4	Toronto Leafs	2	W			BoxScore
147 - 2024-01-03	976	Florida Panthers	4	New York Rangers	7	W			BoxScore
152 - 2024-01-08	1018	St-Louis Blues	3	New York Rangers	4	W	X		BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
154 - 2024-01-10	1028	New Jersey Devils	2	New York Rangers	0	L			BoxScore
155 - 2024-01-11	1032	New York Rangers	2	Carolina Hurricanes	1	W			BoxScore
157 - 2024-01-13	1052	New York Rangers	3	Tampa Lightning	2	W			BoxScore
159 - 2024-01-15	1061	New York Rangers	3	Pittsburgh Penguins	4	L	X		BoxScore
160 - 2024-01-16	1073	New York Islanders	2	New York Rangers	4	W			BoxScore
162 - 2024-01-18	1085	Winnipeg Jets	5	New York Rangers	4	L	X	X	BoxScore
164 - 2024-01-20	1098	New York Rangers	5	Boston Bruins	2	W			BoxScore
166 - 2024-01-22	1119	Florida Panthers	1	New York Rangers	2	W			BoxScore
169 - 2024-01-25	1137	Philadelphia Flyers	5	New York Rangers	3	L			BoxScore
171 - 2024-01-27	1159	New York Rangers	4	Colorado Avalanche	3	W	X	X	BoxScore
173 - 2024-01-29	1168	New York Rangers	4	Phoenix Coyotes	2	W			BoxScore
175 - 2024-01-31	1182	Pittsburgh Penguins	2	New York Rangers	6	W			BoxScore
177 - 2024-02-02	1198	New Jersey Devils	3	New York Rangers	2	L	X	X	BoxScore
179 - 2024-02-04	1213	New York Rangers	3	Detroit Red Wings	2	W			BoxScore
181 - 2024-02-06	1234	Montreal Canadiens	2	New York Rangers	5	W			BoxScore
183 - 2024-02-08	1244	New York Rangers	1	New York Islanders	5	L			BoxScore
185 - 2024-02-10	1257	Philadelphia Flyers	2	New York Rangers	5	W			BoxScore
187 - 2024-02-12	1270	New York Islanders	5	New York Rangers	3	L			BoxScore
189 - 2024-02-14	1292	Ottawa Senators	1	New York Rangers	4	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	20	200
Attendance	230,259	196,470	78,391	155,280	39,299
Attendance PCT	93.60%	95.84%	95.60%	94.68%	95.85%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	17066 - 94.81%	603,581$	24,746,823$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
49,010,340$	49,319,000$	0$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
49,319,000$	47,940,073$	0$	22	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	262,078$	0$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	49,319,000$	82,547,155$	82,547,155$

Depth Chart

Left Wing

Center

Right Wing

Alex Tuch	AGE:27	PO:71	OV:76
Pavel Buchnevich	AGE:29	PO:54	OV:76
Nikolaj Ehlers	AGE:28	PO:73	OV:73
Andrew Mangiapane	AGE:28	PO:42	OV:71
Kailer Yamamoto	AGE:25	PO:79	OV:70
Mark Jankowski	AGE:29	PO:66	OV:69
Sonny Milano	AGE:27	PO:71	OV:67
Stefan Noesen	AGE:31	PO:66	OV:67
Matt Nieto	AGE:31	PO:56	OV:67
Josh Leivo	AGE:30	PO:51	OV:66
Kiefer Sherwood	AGE:29	PO:36	OV:66
Chris Terry	AGE:35	PO:31	OV:66
Lukas Sedlak	AGE:31	PO:39	OV:65
Radim Zohorna	AGE:27	PO:37	OV:64
Fredrik Olofsson	AGE:27	PO:53	OV:62
Cameron Hebig	AGE:27	PO:42	OV:59
Jayce Hawryluk	AGE:28	PO:66	OV:58

Tage Thompson	AGE:26	PO:76	OV:77
Bo Horvat	AGE:29	PO:71	OV:76
Pavel Buchnevich	AGE:29	PO:54	OV:76
Nick Suzuki	AGE:24	PO:83	OV:74
Vincent Trocheck	AGE:30	PO:53	OV:74
Mark Jankowski	AGE:29	PO:66	OV:69
Curtis Lazar	AGE:29	PO:69	OV:67
Stefan Noesen	AGE:31	PO:66	OV:67
Derek Ryan	AGE:37	PO:20	OV:67
Kiefer Sherwood	AGE:29	PO:36	OV:66
Lukas Sedlak	AGE:31	PO:39	OV:65
Radim Zohorna	AGE:27	PO:37	OV:64
Austin Czarnik	AGE:31	PO:34	OV:64
Graeme Clarke	AGE:22	PO:65	OV:63
Kristian Reichel	AGE:25	PO:42	OV:62
Riley Damiani	AGE:24	PO:56	OV:61
T.J. Tynan	AGE:32	PO:52	OV:61
Ryan Suzuki	AGE:22	PO:80	OV:60
Cameron Hebig	AGE:27	PO:42	OV:59
Jayce Hawryluk	AGE:28	PO:66	OV:58
Henri Nikkanen	AGE:22	PO:60	OV:58
Jeremy McKenna	AGE:25	PO:43	OV:57

Tage Thompson	AGE:26	PO:76	OV:77
Alex Tuch	AGE:27	PO:71	OV:76
Pavel Buchnevich	AGE:29	PO:54	OV:76
Vincent Trocheck	AGE:30	PO:53	OV:74
Nikolaj Ehlers	AGE:28	PO:73	OV:73
Andrew Mangiapane	AGE:28	PO:42	OV:71
Kailer Yamamoto	AGE:25	PO:79	OV:70
Sonny Milano	AGE:27	PO:71	OV:67
Curtis Lazar	AGE:29	PO:69	OV:67
Stefan Noesen	AGE:31	PO:66	OV:67
Matt Nieto	AGE:31	PO:56	OV:67
Derek Ryan	AGE:37	PO:20	OV:67
Josh Leivo	AGE:30	PO:51	OV:66
Kiefer Sherwood	AGE:29	PO:36	OV:66
Chris Terry	AGE:35	PO:31	OV:66
Lukas Sedlak	AGE:31	PO:39	OV:65
Radim Zohorna	AGE:27	PO:37	OV:64
Austin Czarnik	AGE:31	PO:34	OV:64
Graeme Clarke	AGE:22	PO:65	OV:63
Kristian Reichel	AGE:25	PO:42	OV:62
Cameron Hebig	AGE:27	PO:42	OV:59
Jayce Hawryluk	AGE:28	PO:66	OV:58
Jeremy McKenna	AGE:25	PO:43	OV:57

Defense #1

Defense #2

Goalie

Jared Spurgeon	AGE:34	PO:26	OV:76
Ivan Provorov	AGE:27	PO:83	OV:74
Gustav Forsling	AGE:27	PO:50	OV:74
Travis Sanheim	AGE:28	PO:71	OV:73
Marc Staal	AGE:37	PO:41	OV:72
Jaycob Megna	AGE:31	PO:38	OV:72
Marcus Pettersson	AGE:27	PO:64	OV:70
Jacob Bryson	AGE:26	PO:59	OV:66
Conor Timmins	AGE:25	PO:74	OV:65

Kaedan Korczak	AGE:23	PO:74	OV:65
Derrick Pouliot	AGE:30	PO:70	OV:65
Austin Strand	AGE:27	PO:42	OV:65
Jordan Gross	AGE:28	PO:36	OV:64
Dakota Mermis	AGE:30	PO:36	OV:63
Hunter Drew	AGE:25	PO:47	OV:61
Jack Thompson	AGE:22	PO:65	OV:59
Wyatte Wylie	AGE:24	PO:56	OV:59

Tristan Jarry	AGE:28	PO:61	OV:88
Antti Raanta	AGE:34	PO:51	OV:84
Alex Lyon	AGE:31	PO:49	OV:75
Jonas Johansson	AGE:28	PO:56	OV:73
Kyle Keyser	AGE:25	PO:43	OV:68
Filip Lindberg	AGE:25	PO:48	OV:65
Cale Morris	AGE:27	PO:37	OV:62

Prospects

Show or Hide Column

Filter Tips

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

Prospect	Team Name	Draft Year	Overall Pick	Lien
Albert Lyckasen	New York Rangers
Alex Cotton	New York Rangers	16	98
Alex Young	New York Rangers	16	157
Arvid Costmar	New York Rangers	15	136
Bogdan Trineyev	New York Rangers	16	158
Cam Atkinson	New York Rangers			Link
Cameron Whitehead	New York Rangers	18	163
Case McCarthy	New York Rangers	15	159
Daimon Gardner	New York Rangers	18	160
Dylan Peterson	New York Rangers	16	110
Dyllan Gill	New York Rangers	18	152
Garin Bjorklund	New York Rangers	16	151
Garrett Brown	New York Rangers	18	170
Graham Sward	New York Rangers	18	155
Jake Richard	New York Rangers	18	157
Jakub Malek	New York Rangers	17	137
Jaromir Pytlik	New York Rangers	16	95
Joel Ratkovic Berndtsson	New York Rangers	18	167
Jonathan Myrenberg	New York Rangers	17	148
Kalle Loponen	New York Rangers	15	132
Leevi Aaltonen	New York Rangers	15	166
Lenni Killinen	New York Rangers	14	169
Maxim Cajkovic	New York Rangers	15	76
Maximus Wanner	New York Rangers	17	190
Nikita Guslistov	New York Rangers	17	180
Oscar Plandowski	New York Rangers	17	179
Oskar Jellvik	New York Rangers	17	127
Simon Knak	New York Rangers	17	141
Theo Jacobsson	New York Rangers	17	182

Draft Picks

Year	R1	R2	R3	R4	R5	R6
19		Dal		Col	Ott Det Bos	Ana Tam
20		Dal	MTL	Tor VGK		Tam
21			Tam	Chi	Phi NYR
22	NYR			NYR	NYR
23	NYR		NYR	NYR	NYR	NYR

[2024-04-06 09:29:05] - Jared Spurgeon has been selected as assistant for New York Rangers.
[2024-04-06 09:29:04] - Unknown Player is no longer as assistant for New York Rangers.
[2024-04-06 09:28:59] - Nick Suzuki has been selected as assistant for New York Rangers.
[2024-04-06 09:28:58] - Jared Spurgeon is no longer as assistant for New York Rangers.
[2024-01-25 12:27:08] - Stefan Noesen has been selected as assistant for Wolfpack.
[2024-01-25 12:27:06] - T.J. Tynan is no longer as assistant for Wolfpack.
[2024-01-23 04:35:35] - TRADE : From Boston Bruins to New York Rangers : Marc Staal (72).
[2024-01-11 12:46:41] - Zachary Leslie has been deleted from New York Rangers.
[2024-01-11 12:46:38] - Shamil Shmakov has been deleted from New York Rangers.
[2024-01-11 12:46:35] - Samuel Harvey has been deleted from New York Rangers.
[2024-01-11 12:46:31] - Kole Sherwood has been deleted from New York Rangers.
[2024-01-11 12:46:26] - Christian Jaros has been deleted from New York Rangers.
[2024-01-11 12:46:23] - Cam Lee has been deleted from New York Rangers.
[2024-01-11 12:46:19] - C.J. Motte has been deleted from New York Rangers.
[2024-01-11 12:46:17] - Brandon Pirri has been deleted from New York Rangers.
[2023-12-11 10:07:18] - TRADE : From New York Rangers to Dallas Stars : Matthew Highmore (66), Zach Hyman (74).
[2023-12-11 10:07:18] - TRADE : From Dallas Stars to New York Rangers : Nikolaj Ehlers (73), Matt Nieto (67), Y:19-RND:2-Dal, Y:20-RND:2-Dal.
[2023-12-07 13:56:39] - TRADE : From Dallas Stars to New York Rangers : Ryan Suzuki (60).
[2023-12-07 13:56:39] - TRADE : From New York Rangers to Dallas Stars : Tyson Hinds (P).
[2023-11-30 13:47:46] - TRADE : From Tampa Lightning to New York Rangers : Tristan Jarry (88), Y:21-RND:3-Tam, Y:20-RND:4-Tor.
[2023-11-30 13:47:46] - TRADE : From New York Rangers to Tampa Lightning : Jack Campbell (88), Y:20-RND:1-NYR, Y:22-RND:2-NYR.
[2023-11-24 13:12:16] - TRADE : From New York Rangers to Boston Bruins : Pierre-Edouard Bellemare (68).
[2023-11-24 13:12:16] - TRADE : From Boston Bruins to New York Rangers : Y:20-RND:4-VGK.
[2023-11-23 16:26:46] - TRADE : From New Jersey Devils to New York Rangers : Antti Raanta (84).
[2023-11-23 16:26:46] - TRADE : From New York Rangers to New Jersey Devils : Kevin Lankinen (78), Y:22-RND:6-NYR.
[2023-10-31 13:59:07] - TRADE : From Nashville Predators to New York Rangers : Lukas Sedlak (65).
[2023-10-31 13:59:07] - TRADE : From New York Rangers to Nashville Predators : Mitchell Miller (P).
[2023-10-30 14:33:37] - TRADE : From New York Rangers to New York Islanders : Y:20-RND:6-San.
[2023-10-30 14:33:37] - TRADE : From New York Islanders to New York Rangers : Matthew Highmore (66).
[2023-10-01 20:18:12] - TRADE : From New York Rangers to Chicago Blackhawks : Dillon Dube (69).
[2023-10-01 20:18:12] - TRADE : From Chicago Blackhawks to New York Rangers : Kailer Yamamoto (70).
[2023-09-25 15:12:23] - Team Name Change : Wolf Pack changed name to Wolfpack

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
6	39	4	33	0	1	1	0	0	39	137	-98	20	2	18	0	0	0	0	0	14	62	-48	19	2	15	0	1	1	0	0	25	75	-50	11	39	60	99	2	0	0	12	9	17	818	0	240	278	299	1322	447	786	822	118	15	12.71%	151	36	76.16%	0	342	724	47.24%	394	897	43.92%	288	583	49.40%	716	373	3232	1362	712	334
6	82	5	72	0	1	2	2	0	66	294	-228	41	3	36	0	0	1	1	0	28	135	-107	41	2	36	0	1	1	1	0	38	159	-121	14	66	97	163	2	1	0	15	19	29	1674	0	503	550	616	2837	932	1667	1669	239	28	11.72%	324	73	77.47%	1	702	1477	47.53%	838	1902	44.06%	615	1248	49.28%	1514	795	4256	1775	1481	690
6	39	4	33	0	1	1	0	0	39	137	-98	20	2	18	0	0	0	0	0	14	62	-48	19	2	15	0	1	1	0	0	25	75	-50	11	39	60	99	2	0	0	12	9	17	818	0	240	278	299	1322	447	786	822	118	15	12.71%	151	36	76.16%	0	342	724	47.24%	394	897	43.92%	288	583	49.40%	716	373	3232	1362	712	334
6	82	5	72	0	1	2	2	0	66	294	-228	41	3	36	0	0	1	1	0	28	135	-107	41	2	36	0	1	1	1	0	38	159	-121	14	66	97	163	2	1	0	15	19	29	1674	0	503	550	616	2837	932	1667	1669	239	28	11.72%	324	73	77.47%	1	702	1477	47.53%	838	1902	44.06%	615	1248	49.28%	1514	795	4256	1775	1481	690
8	82	21	44	0	3	3	6	5	214	263	-49	41	12	17	0	3	2	4	3	109	121	-12	41	9	27	0	0	1	2	2	105	142	-37	68	214	367	581	3	3	0	73	64	68	2264	0	762	727	744	2600	787	868	1916	257	41	15.95%	338	80	76.33%	4	1373	2683	51.17%	1466	2926	50.10%	610	1245	49.00%	1818	1230	2133	618	1036	496
8	82	21	44	0	3	3	6	5	214	263	-49	41	12	17	0	3	2	4	3	109	121	-12	41	9	27	0	0	1	2	2	105	142	-37	68	214	367	581	3	3	0	73	64	68	2264	0	762	727	744	2600	787	868	1916	257	41	15.95%	338	80	76.33%	4	1373	2683	51.17%	1466	2926	50.10%	610	1245	49.00%	1818	1230	2133	618	1036	496
9	82	31	37	0	2	4	7	1	256	237	19	41	18	15	0	1	2	5	0	136	110	26	41	13	22	0	1	2	2	1	120	127	-7	85	256	436	692	1	7	0	109	78	60	2546	0	852	809	868	2240	673	705	1800	288	56	19.44%	278	56	79.86%	1	1508	2877	52.42%	1309	2550	51.33%	698	1328	52.56%	1931	1329	1980	608	1058	519
9	82	31	37	0	2	4	7	1	256	237	19	41	18	15	0	1	2	5	0	136	110	26	41	13	22	0	1	2	2	1	120	127	-7	85	256	436	692	1	7	0	109	78	60	2546	0	852	809	868	2240	673	705	1800	288	56	19.44%	278	56	79.86%	1	1508	2877	52.42%	1309	2550	51.33%	698	1328	52.56%	1931	1329	1980	608	1058	519
10	81	31	36	0	3	3	5	3	196	218	-22	41	16	17	0	1	2	2	3	96	104	-8	40	15	19	0	2	1	3	0	100	114	-14	84	196	346	542	1	6	0	67	59	62	2125	0	715	674	707	2170	657	728	1660	244	50	20.49%	289	58	79.93%	0	1331	2589	51.41%	1413	2614	54.06%	642	1201	53.46%	1922	1322	1941	602	1053	515
10	81	31	36	0	3	3	5	3	196	218	-22	41	16	17	0	1	2	2	3	96	104	-8	40	15	19	0	2	1	3	0	100	114	-14	84	196	346	542	1	6	0	67	59	62	2125	0	715	674	707	2170	657	728	1660	244	50	20.49%	289	58	79.93%	0	1331	2589	51.41%	1413	2614	54.06%	642	1201	53.46%	1922	1322	1941	602	1053	515
12	82	27	46	0	4	4	1	0	216	295	-79	41	13	25	0	1	2	0	0	106	147	-41	41	14	21	0	3	2	1	0	110	148	-38	68	216	391	607	2	2	0	73	73	65	2439	0	810	830	784	2636	752	813	1739	293	60	20.48%	323	81	74.92%	3	1408	2891	48.70%	1374	2894	47.48%	633	1270	49.84%	1953	1350	1960	597	1027	512
12	82	27	46	0	4	4	1	0	216	295	-79	41	13	25	0	1	2	0	0	106	147	-41	41	14	21	0	3	2	1	0	110	148	-38	68	216	391	607	2	2	0	73	73	65	2439	0	810	830	784	2636	752	813	1739	293	60	20.48%	323	81	74.92%	3	1408	2891	48.70%	1374	2894	47.48%	633	1270	49.84%	1953	1350	1960	597	1027	512
13	82	35	34	0	4	6	3	0	260	276	-16	41	17	19	0	2	2	1	0	122	129	-7	41	18	15	0	2	4	2	0	138	147	-9	90	260	456	716	3	2	0	97	78	78	2384	0	779	802	785	2591	768	843	1777	298	80	26.85%	343	74	78.43%	4	1345	2760	48.73%	1432	2906	49.28%	683	1359	50.26%	1911	1318	2012	594	1027	506
13	82	35	34	0	4	6	3	0	260	276	-16	41	17	19	0	2	2	1	0	122	129	-7	41	18	15	0	2	4	2	0	138	147	-9	90	260	456	716	3	2	0	97	78	78	2384	0	779	802	785	2591	768	843	1777	298	80	26.85%	343	74	78.43%	4	1345	2760	48.73%	1432	2906	49.28%	683	1359	50.26%	1911	1318	2012	594	1027	506
14	82	46	23	0	2	4	4	3	256	196	60	41	24	11	0	1	2	0	3	128	97	31	41	22	12	0	1	2	4	0	128	99	29	111	256	448	704	2	5	0	86	71	93	2610	0	866	870	846	2232	635	831	1925	349	61	17.48%	370	62	83.24%	0	1595	3040	52.47%	1438	2787	51.60%	682	1213	56.22%	1995	1382	1930	603	1038	519
14	82	46	23	0	2	4	4	3	256	196	60	41	24	11	0	1	2	0	3	128	97	31	41	22	12	0	1	2	4	0	128	99	29	111	256	448	704	2	5	0	86	71	93	2610	0	866	870	846	2232	635	831	1925	349	61	17.48%	370	62	83.24%	0	1595	3040	52.47%	1438	2787	51.60%	682	1213	56.22%	1995	1382	1930	603	1038	519
15	82	35	36	0	5	3	3	0	235	220	15	41	19	19	0	3	0	0	0	120	114	6	41	16	17	0	2	3	3	0	115	106	9	89	235	414	649	2	6	0	72	72	83	2526	0	773	849	890	2202	649	772	1950	345	60	17.39%	356	58	83.71%	1	1537	2991	51.39%	1465	2798	52.36%	674	1270	53.07%	2010	1388	1895	606	1046	527
15	82	35	36	0	5	3	3	0	235	220	15	41	19	19	0	3	0	0	0	120	114	6	41	16	17	0	2	3	3	0	115	106	9	89	235	414	649	2	6	0	72	72	83	2526	0	773	849	890	2202	649	772	1950	345	60	17.39%	356	58	83.71%	1	1537	2991	51.39%	1465	2798	52.36%	674	1270	53.07%	2010	1388	1895	606	1046	527
16	82	37	23	0	2	3	7	10	251	197	54	41	19	9	0	1	1	5	6	126	94	32	41	18	14	0	1	2	2	4	125	103	22	105	251	439	690	3	8	0	80	88	74	2435	0	764	828	790	2227	629	711	1766	320	73	22.81%	316	43	86.39%	0	1451	2824	51.38%	1418	2736	51.83%	600	1202	49.92%	2022	1408	1940	617	1051	524
16	82	37	23	0	2	3	7	10	251	197	54	41	19	9	0	1	1	5	6	126	94	32	41	18	14	0	1	2	2	4	125	103	22	105	251	439	690	3	8	0	80	88	74	2435	0	764	828	790	2227	629	711	1766	320	73	22.81%	316	43	86.39%	0	1451	2824	51.38%	1418	2736	51.83%	600	1202	49.92%	2022	1408	1940	617	1051	524
17	82	39	25	0	4	7	1	6	228	199	29	41	19	10	0	2	6	1	3	115	105	10	41	20	15	0	2	1	0	3	113	94	19	101	228	417	645	1	8	0	79	80	64	2460	0	794	853	771	2190	689	625	1657	314	56	17.83%	247	45	81.78%	1	1523	2921	52.14%	1398	2679	52.18%	628	1231	51.02%	2065	1444	1883	596	1040	535
17	82	39	25	0	4	7	1	6	228	199	29	41	19	10	0	2	6	1	3	115	105	10	41	20	15	0	2	1	0	3	113	94	19	101	228	417	645	1	8	0	79	80	64	2460	0	794	853	771	2190	689	625	1657	314	56	17.83%	247	45	81.78%	1	1523	2921	52.14%	1398	2679	52.18%	628	1231	51.02%	2065	1444	1883	596	1040	535
18	82	49	17	0	5	3	4	4	293	194	99	41	24	9	0	3	1	2	2	155	105	50	41	25	8	0	2	2	2	2	138	89	49	123	293	514	807	6	7	95	102	87	9	2678	887	849	896	69	2082	629	582	1589	309	76	24.60%	239	32	86.61%	1	1533	3033	50.54%	1368	2577	53.08%	707	1285	55.02%	2052	1438	1873	597	1053	538
Total Regular Season	1798	671	835	0	67	83	82	60	4727	5258	-531	901	348	401	0	33	41	40	38	2355	2541	-186	897	323	434	0	34	42	42	22	2372	2717	-345	1775	4727	8256	12983	50	103	95	1628	1469	1395	51240	887	16565	17036	16269	52576	15865	19280	38951	6439	1236	19.20%	6909	1364	80.26%	31	29763	58587	50.80%	29258	57955	50.48%	14213	27585	51.52%	41777	28129	52208	17765	24202	11901
Playoff
9	5	1	4	0	0	0	0	0	12	15	-3	2	1	1	0	0	0	0	0	5	4	1	3	0	3	0	0	0	0	0	7	11	-4	2	12	23	35	0	0	0	6	2	4	159	0	49	58	52	150	41	55	120	21	0	0.00%	19	2	89.47%	1	105	203	51.72%	90	172	52.33%	34	77	44.16%	116	77	125	40	65	32
9	5	1	4	0	0	0	0	0	12	15	-3	2	1	1	0	0	0	0	0	5	4	1	3	0	3	0	0	0	0	0	7	11	-4	2	12	23	35	0	0	0	6	2	4	159	0	49	58	52	150	41	55	120	21	0	0.00%	19	2	89.47%	1	105	203	51.72%	90	172	52.33%	34	77	44.16%	116	77	125	40	65	32
14	22	14	8	0	0	0	0	0	70	55	15	12	8	4	0	0	0	0	0	40	30	10	10	6	4	0	0	0	0	0	30	25	5	28	70	125	195	1	0	0	25	27	15	681	0	227	201	223	608	168	224	561	85	25	29.41%	100	19	81.00%	1	419	796	52.64%	425	781	54.42%	187	340	55.00%	546	379	536	165	282	138
14	22	14	8	0	0	0	0	0	70	55	15	12	8	4	0	0	0	0	0	40	30	10	10	6	4	0	0	0	0	0	30	25	5	28	70	125	195	1	0	0	25	27	15	681	0	227	201	223	608	168	224	561	85	25	29.41%	100	19	81.00%	1	419	796	52.64%	425	781	54.42%	187	340	55.00%	546	379	536	165	282	138
Total Playoff	54	30	24	0	0	0	0	0	164	140	24	28	18	10	0	0	0	0	0	90	68	22	26	12	14	0	0	0	0	0	74	72	2	60	164	296	460	2	0	0	62	58	38	1680	0	552	518	550	1516	418	558	1362	212	50	23.58%	238	42	82.35%	4	1048	1998	52.45%	1030	1906	54.04%	442	834	53.00%	1325	913	1324	410	695	341