Rangers
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats
Web Lines Editor

Game Center
	Wolf Pack 10-4-2, 22pts	6	FINAL	3	Checkers 13-2-1, 27pts

Team Stats
OTL1	Streak	W1
4-3-1	Home Record	6-2-0
6-1-1	Home Record	7-0-1
6-2-2	Last 10 Games	7-2-1
4.63	Goals Per Game	4.50
2.25	Goals Against Per Game	2.50
21.74%	Power Play Percentage	17.54%
85.37%	Penalty Kill Percentage	87.10%

Phantoms
12-4-0, 24pts

FINAL

Wolf Pack
10-4-2, 22pts

Team Stats
OTW1	Streak	OTL1
6-2-0	Home Record	4-3-1
6-2-0	Home Record	6-1-1
10-0-0	Last 10 Games	6-2-2
5.13	Goals Per Game	4.63
2.75	Goals Against Per Game	2.25
14.49%	Power Play Percentage	21.74%
85.48%	Penalty Kill Percentage	85.37%

Team Leaders
	Goals Jaroslav Chmelar 11	Assists Seamus Casey 17

	Points Jaroslav Chmelar 25	Plus/Minus Aaron Ness 15

	Wins Dustin Tokarski 10	Save Percentage Dustin Tokarski 0.855

Team Stats
Goals For 74 4.63 GFG	Shots For 515 32.19 Avg	Power Play Percentage 21.7% 15 GF	Offensive Zone Start 45.3%
Goals Against 36 2.25 GAA	Shots Against 245 15.31 Avg	Penalty Kill Percentage 85.4%% 12 GA	Defensive Zone Start 31.1%

Team Info
	General Manager	Steve
	Coach	David Bell
	Division	Atlantic
	Conference	Eastern Conference
	Captain
	Assistant #1	Ben Jones
	Assistant #2	Kyle Capobianco
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	26
	Farm Team	19
	Contract Limit	45 / 51
	Prospects	28
Team History
	This Season	10-4-2 (22PTS)
	History	0-0-0


	Stanley Cup	0

Show or Hide Columns

Filter Tips

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

#	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	Luca Del Bel Belluz (R)	X				100.00	61	41	99	66	69	66	91	65	76	79	64	64	25	45	45	68	50	65		0	21	2	860,000$
2	Vinni Lettieri	X		X		100.00	88	45	92	74	65	65	89	69	47	58	62	68	25	60	60	68	50	65		0	30	1	925,000$
3	Stephen Halliday (R)	X				100.00	80	80	80	69	80	81	86	62	78	60	61	67	58	44	44	65	50	64		0	23	3	950,000$
4	Tanner Laczynski	X		X		100.00	78	75	84	72	75	66	66	66	80	63	65	68	62	48	48	68	50	64		0	28	2	800,000$
5	Bradly Nadeau (R)		X			100.00	69	63	83	71	63	79	82	66	50	60	69	62	66	44	44	68	50	63		0	20	3	918,333$
6	Mike Vecchione		X			100.00	75	68	91	67	68	79	84	62	50	56	63	64	60	44	44	65	50	62		0	32	1	775,000$
7	Jaroslav Chmelar (R)			X		100.00	83	84	80	66	84	80	87	56	50	52	56	67	53	44	44	62	50	61		0	22	3	867,500$
8	Owen Beck (R)	X				100.00	84	45	99	81	71	55	91	59	65	58	55	58	25	45	45	62	50	61		0	21	3	853,333$
9	Ben Jones (R) (A)	X				100.00	85	92	88	66	71	51	91	62	44	50	55	68	25	46	46	62	50	60		0	26	1	850,000$
10	Jesse Ylonen		X	X		100.00	77	72	88	69	72	63	64	60	50	59	56	65	53	44	44	62	50	60		0	26	1	850,000$
11	Ozzy Wiesblatt (R)			X		100.00	64	65	61	67	65	80	85	62	50	59	60	59	57	44	44	62	50	60		0	23	1	835,833$
12	Kyle Rau	X	X	X		100.00	69	61	88	65	61	70	73	59	74	60	54	60	51	44	45	61	50	59		0	32	1	775,000$
13	Kyle Capobianco (A)				X	100.00	73	74	69	66	74	76	81	57	25	56	41	64	39	53	54	57	50	62	N	0	28	1	775,000$
14	David Jiricek				X	100.00	75	44	85	74	77	59	62	61	25	52	49	67	25	50	50	60	50	62		0	21	1	918,333$
15	Seamus Casey (R)				X	100.00	69	41	99	69	59	60	62	64	25	63	68	63	25	45	45	69	50	61		0	21	3	950,000$
16	Dillon Heatherington				X	100.00	81	81	80	64	81	68	74	45	25	35	39	63	37	44	45	52	50	59	N	0	30	1	850,000$
17	Jarred Tinordi				X	100.00	84	88	73	66	88	51	53	46	25	36	40	65	38	44	45	52	50	58	N	0	33	1	850,000$
Scratches
1	Henrik Rybinski	X		X		100.00	75	70	88	66	70	53	52	60	50	59	56	64	53	44	44	61	50	58		0	24	2	800,000$
2	Filip Mesar (R)			X		100.00	71	65	86	64	65	59	60	55	50	58	47	60	45	44	44	57	50	56		0	21	3	886,667$
3	Gavin Brindley (R)	X				100.00	69	59	91	64	59	64	67	52	65	50	50	59	48	44	44	56	50	55		0	20	3	950,000$
4	Danny Zhilkin (R)	X				100.00	80	75	91	64	75	49	50	49	61	46	46	63	44	44	44	54	50	54	N	0	21	3	866,666$
5	Gavin White				X	100.00	76	68	93	65	68	60	64	47	25	39	40	61	38	44	44	53	50	57		0	22	2	857,500$
6	Aaron Ness				X	100.00	71	66	81	64	66	64	69	47	25	37	41	58	39	44	44	51	50	56		0	35	1	775,000$

	TEAM AVERAGE					100.00	76	66	86	68	71	65	73	58	48	54	54	63	43	46	46	61	50	60

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	TA	SP	Age	Contract	Salary
1	Dustin Tokarski	100.00	50	50	63	72	49	53	52	56	54	54	30	55	56	52	50	55	N	0	36	1	950,000$
2	Felix Sandstrom	100.00	49	44	55	81	49	48	52	55	50	50	30	44	44	50	50	53		0	28	1	850,000$
Scratches
1	Garrett Metcalf	100.00	44	40	50	73	45	44	45	49	45	45	45	44	44	45	50	48		0	29	1	775,000$

	TEAM AVERAGE	100.00	48	45	56	75	48	48	50	53	50	50	35	48	48	49	50	52

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
David Bell	79	66	70	65	72	68	79	CAN	47	2	475,000$

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	HT	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Jaroslav Chmelar	Wolf Pack (NYR)	RW	16	11	14	25	14	18	0	33	17	47	13	33	23.40%	2	306	19.16	3	3	6	8	49	0	0	0	0	0	2	0	66.67%	12	0	1.63	0	0	0	0	2	2	2
2	Mike Vecchione	Wolf Pack (NYR)	LW	16	10	11	21	10	8	0	9	17	46	9	25	21.74%	2	256	16.04	2	3	5	11	49	0	0	0	0	4	1	0	58.33%	12	1	1.64	0	0	0	0	2	1	1
3	Seamus Casey	Wolf Pack (NYR)	D	16	3	17	20	11	2	0	4	10	24	7	12	12.50%	11	334	20.94	2	7	9	11	44	0	0	0	0	54	0	0	0%	0	0	1.19	0	0	0	0	0	0	0
4	Vinni Lettieri	Wolf Pack (NYR)	C/RW	16	8	12	20	10	18	0	46	36	67	24	47	11.94%	2	348	21.80	2	2	4	8	49	0	0	0	7	55	3	0	62.68%	426	0	1.15	0	1	0	0	2	3	0
5	Tanner Laczynski	Wolf Pack (NYR)	C/RW	16	11	8	19	12	35	5	26	23	58	30	41	18.97%	0	298	18.68	1	2	3	7	47	0	0	0	0	22	1	0	79.41%	34	1	1.27	1	1	1	0	1	3	2
6	Ozzy Wiesblatt	Wolf Pack (NYR)	RW	16	4	11	15	9	12	0	13	15	43	12	35	9.30%	1	252	15.79	0	0	0	0	2	1	0	1	1	29	0	0	59.09%	44	0	1.19	0	0	0	0	1	1	0
7	Luca Del Bel Belluz	Wolf Pack (NYR)	C	11	1	11	12	-2	0	0	0	17	20	7	22	5.00%	3	224	20.45	1	6	7	5	33	0	1	1	1	49	0	0	68.45%	168	0	1.07	0	1	0	0	0	0	0
8	Stephen Halliday	Wolf Pack (NYR)	C	16	8	3	11	9	12	0	34	20	48	11	37	16.67%	1	248	15.54	0	0	0	0	0	0	0	0	0	31	1	0	67.34%	199	0	0.88	0	1	0	0	1	1	0
9	David Jiricek	Wolf Pack (NYR)	D	16	2	9	11	14	8	0	21	19	15	5	12	13.33%	8	359	22.48	0	3	3	7	49	0	0	0	0	55	0	0	0%	0	0	0.61	0	0	0	0	0	1	0
10	Kyle Rau	Wolf Pack (NYR)	C/LW/RW	16	1	9	10	10	2	0	3	11	29	6	15	3.45%	2	156	9.79	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	0	1.28	0	0	0	0	0	0	0
11	Bradly Nadeau	Wolf Pack (NYR)	LW	7	2	6	8	6	2	0	4	9	24	6	15	8.33%	0	127	18.27	1	1	2	7	26	0	0	0	2	5	0	0	80.00%	5	0	1.25	0	0	0	0	0	0	1
12	Dillon Heatherington	Wolf Pack (NYR)	D	16	3	5	8	12	21	5	40	5	11	5	7	27.27%	18	332	20.79	2	0	2	6	47	0	0	0	0	52	0	1	0%	0	0	0.48	0	0	1	0	0	0	3
13	Kyle Capobianco	Wolf Pack (NYR)	D	16	0	7	7	15	27	5	32	8	17	6	7	0%	8	368	23.01	0	1	1	10	52	0	0	0	0	52	0	0	0%	0	0	0.38	0	0	0	1	0	0	0
14	Gavin White	Wolf Pack (NYR)	D	11	3	4	7	14	4	0	19	2	6	1	2	50.00%	5	186	16.92	0	0	0	1	8	0	0	0	0	10	1	0	0%	0	0	0.75	0	0	0	0	0	0	0
15	Ben Jones	Wolf Pack (NYR)	C	16	3	3	6	4	11	5	10	10	20	3	10	15.00%	3	112	7.06	1	0	1	1	11	0	0	0	2	22	0	0	58.67%	75	0	1.06	0	0	1	0	0	0	1
16	Aaron Ness	Wolf Pack (NYR)	D	11	1	4	5	15	8	0	15	2	7	0	4	14.29%	3	187	17.07	0	0	0	0	2	0	0	0	0	15	0	0	0%	0	0	0.53	0	0	0	0	0	0	0
17	Owen Beck	Wolf Pack (NYR)	C	16	1	2	3	-1	4	0	13	3	19	5	12	5.26%	6	136	8.55	0	0	0	1	5	0	0	0	0	2	0	0	85.71%	7	0	0.44	0	0	0	0	0	0	0
18	Jesse Ylonen	Wolf Pack (NYR)	LW/RW	5	1	0	1	-2	6	0	5	8	5	2	6	20.00%	1	83	16.78	0	0	0	0	3	0	0	0	0	13	0	0	55.56%	9	0	0.24	0	0	0	0	0	0	0
19	Jarred Tinordi	Wolf Pack (NYR)	D	5	0	0	0	-5	11	5	15	1	1	0	3	0%	2	79	15.98	0	0	0	0	5	0	0	0	0	9	0	0	0%	0	0	0	0	0	1	0	0	0	0
Team Total or Average				258	73	136	209	155	209	25	342	233	507	152	345	14.40%	78	4404	17.07	15	28	43	83	490	1	1	2	13	486	9	1	64.89%	994	2	0.95	1	4	4	1	9	12	10

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	SO	GA	SA	PS %	PSA	ST	BG	S1
1	Dustin Tokarski	Wolf Pack (NYR)	16	10	4	2	0.855	2.19	960	2	35	242	0.500	4	16	0	1
2	Felix Sandstrom	Wolf Pack (NYR)	1	0	0	0	1.000	0	14	0	0	3	0	0	0	16	0
Team Total or Average			17	10	4	2	0.857	2.15	975	2	35	245		4	16	16	1

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Aaron Ness	Wolf Pack (NYR)	D	35	1990-05-18	USA	No	188 Lbs	5 ft10	No	No	Free Agent	No	No	1	2025-08-19	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ben Jones	Wolf Pack (NYR)	C	26	1999-02-26	CAN	Yes	187 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Bradly Nadeau	Wolf Pack (NYR)	LW	20	2005-05-05	CAN	Yes	172 Lbs	5 ft11	No	No	Assign Manually	No	No	3	2025-06-14	False	False	Pro & Farm	918,333$	918,333$	0$	0$	No	918,333$	918,333$	-	-	-	-	-	-	-	918,333$	918,333$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Danny Zhilkin	Wolf Pack (NYR)	C	21	2003-12-19	RUS	Yes	200 Lbs	6 ft2	Yes	No	Free Agent	No	No	3	2025-09-05	False	False	Pro & Farm	866,666$	866,666$	0$	0$	No	866,666$	866,666$	-	-	-	-	-	-	-	866,666$	866,666$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-	Link
David Jiricek	Wolf Pack (NYR)	D	21	2003-11-28	CZE	No	204 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	918,333$	918,333$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dillon Heatherington	Wolf Pack (NYR)	D	30	1995-05-09	CAN	No	215 Lbs	6 ft4	Yes	No	Free Agent	No	No	1	2025-08-22	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Dustin Tokarski	Wolf Pack (NYR)	G	36	1989-09-16	CAN	No	198 Lbs	6 ft0	Yes	No	Free Agent	No	No	1	2025-08-22	False	False	Pro & Farm	950,000$	950,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Felix Sandstrom	Wolf Pack (NYR)	G	28	1997-01-12	SWE	No	214 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-06-24	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Filip Mesar	Wolf Pack (NYR)	RW	21	2004-01-03	SVK	Yes	184 Lbs	5 ft10	No	No	Assign Manually	No	No	3	2025-06-14	False	False	Pro & Farm	886,667$	886,667$	0$	0$	No	886,667$	886,667$	-	-	-	-	-	-	-	886,667$	886,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Garrett Metcalf	Wolf Pack (NYR)	G	29	1996-03-05	USA	No	185 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Gavin Brindley	Wolf Pack (NYR)	C	20	2004-10-05	USA	Yes	168 Lbs	5 ft9	No	No	Assign Manually	No	No	3	2025-06-14	False	False	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Gavin White	Wolf Pack (NYR)	D	22	2002-11-12	CAN	No	185 Lbs	6 ft0	No	No	Assign Manually	No	No	2	2024-06-30	False	False	Pro & Farm	857,500$	857,500$	0$	0$	No	857,500$	-	-	-	-	-	-	-	-	857,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Henrik Rybinski	Wolf Pack (NYR)	C/RW	24	2001-06-26	BC	No	187 Lbs	6 ft2	No	No	Assign Manually	No	No	2	2025-08-19	False	False	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jaroslav Chmelar	Wolf Pack (NYR)	RW	22	2003-07-20	CZE	Yes	220 Lbs	6 ft5	No	No	Assign Manually	No	No	3	2025-06-14	False	False	Pro & Farm	867,500$	867,500$	0$	0$	No	867,500$	867,500$	-	-	-	-	-	-	-	867,500$	867,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jarred Tinordi	Wolf Pack (NYR)	D	33	1992-02-20	USA	No	230 Lbs	6 ft6	Yes	No	Free Agent	No	No	1	2025-08-22	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jesse Ylonen	Wolf Pack (NYR)	LW/RW	26	1999-10-03	USA	No	193 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-06-24	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kyle Capobianco	Wolf Pack (NYR)	D	28	1997-08-13	CAN	No	198 Lbs	6 ft3	Yes	No	Free Agent	No	No	1	2025-09-05	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kyle Rau	Wolf Pack (NYR)	C/LW/RW	32	1992-10-24	USA	No	176 Lbs	5 ft8	No	No	Free Agent	No	No	1	2025-08-19	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luca Del Bel Belluz	Wolf Pack (NYR)	C	21	2003-11-10	CAN	Yes	185 Lbs	6 ft1	No	No	Assign Manually	No	No	2	2024-06-30	False	False	Pro & Farm	860,000$	860,000$	0$	0$	No	860,000$	-	-	-	-	-	-	-	-	860,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Mike Vecchione	Wolf Pack (NYR)	LW	32	1993-02-25	USA	No	193 Lbs	5 ft10	No	No	Assign Manually	No	No	1	2025-08-28	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Owen Beck	Wolf Pack (NYR)	C	21	2004-02-03	CAN	Yes	199 Lbs	6 ft0	No	No	Assign Manually	No	No	3	2025-06-14	False	False	Pro & Farm	853,333$	853,333$	0$	0$	No	853,333$	853,333$	-	-	-	-	-	-	-	853,333$	853,333$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ozzy Wiesblatt	Wolf Pack (NYR)	RW	23	2002-03-09	CAN	Yes	183 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Pro & Farm	835,833$	835,833$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Seamus Casey	Wolf Pack (NYR)	D	21	2004-01-08	USA	Yes	162 Lbs	5 ft10	No	No	Assign Manually	No	No	3	2025-06-14	False	False	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Stephen Halliday	Wolf Pack (NYR)	C	23	2002-07-02	CAN	Yes	212 Lbs	6 ft4	No	No	Assign Manually	No	No	3	2025-08-03	False	False	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Tanner Laczynski	Wolf Pack (NYR)	C/RW	28	1997-06-01	USA	No	205 Lbs	6 ft1	No	No	Free Agent	No	No	2	2025-08-15	False	False	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Vinni Lettieri	Wolf Pack (NYR)	C/RW	30	1995-02-06	USA	No	184 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	25.88	193 Lbs	6 ft1	1.77	858,237$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Bradly Nadeau	Vinni Lettieri	Tanner Laczynski	40	1	2	2
2	Mike Vecchione	Luca Del Bel Belluz	Jaroslav Chmelar	30	1	2	2
3	Jesse Ylonen	Stephen Halliday	Ozzy Wiesblatt	20	1	2	2
4	Kyle Rau	Owen Beck	Vinni Lettieri	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	David Jiricek	Kyle Capobianco	40	1	2	2
2	Seamus Casey	Dillon Heatherington	30	1	2	2
3	Jarred Tinordi	Owen Beck	20	1	2	2
4	David Jiricek	Kyle Capobianco	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Bradly Nadeau	Vinni Lettieri	Tanner Laczynski	60	1	2	2
2	Mike Vecchione	Luca Del Bel Belluz	Jaroslav Chmelar	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	David Jiricek	Kyle Capobianco	60	1	2	2
2	Seamus Casey	Dillon Heatherington	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vinni Lettieri	Luca Del Bel Belluz	60	1	2	2
2	Tanner Laczynski	Stephen Halliday	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	David Jiricek	Kyle Capobianco	60	1	2	2
2	Seamus Casey	Dillon Heatherington	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Vinni Lettieri	60	1	2	2	David Jiricek	Kyle Capobianco	60	1	2	2
2	Luca Del Bel Belluz	40	1	2	2	Seamus Casey	Dillon Heatherington	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vinni Lettieri	Luca Del Bel Belluz	60	1	2	2
2	Tanner Laczynski	Stephen Halliday	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	David Jiricek	Kyle Capobianco	60	1	2	2
2	Seamus Casey	Dillon Heatherington	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Bradly Nadeau	Vinni Lettieri	Tanner Laczynski	David Jiricek	Kyle Capobianco

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Bradly Nadeau	Vinni Lettieri	Tanner Laczynski	David Jiricek	Kyle Capobianco

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ben Jones, Ozzy Wiesblatt, Jesse Ylonen	Ben Jones, Ozzy Wiesblatt	Jesse Ylonen

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jarred Tinordi, Seamus Casey, Dillon Heatherington	Jarred Tinordi	Seamus Casey, Dillon Heatherington

Penalty Shots
Vinni Lettieri, Luca Del Bel Belluz, Tanner Laczynski, Stephen Halliday, Bradly Nadeau

Goalie
#1 : Dustin Tokarski, #2 : Felix Sandstrom

Custom OT Lines Forwards
Vinni Lettieri, Luca Del Bel Belluz, Tanner Laczynski, Stephen Halliday, Bradly Nadeau, Mike Vecchione, Owen Beck, Jaroslav Chmelar, Ozzy Wiesblatt, Ben Jones

Custom OT Lines Defensemen
David Jiricek, Kyle Capobianco, Seamus Casey, Dillon Heatherington, Jarred Tinordi

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	Bears	2	2	0	0	0	0	0	0	12	3	9	1	1	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	4	1	3	4	1.000	12	22	34	0	0	35	20	17	3	74	183	186	135	15	24	8	27	48	5	3	60.00%	10	0	100.00%	1	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104
2	Bruins	2	1	1	0	0	0	0	0	3	3	0	1	0	1	0	0	0	0	0	0	3	-3	1	1	0	0	0	0	0	0	3	0	3	2	0.500	3	5	8	0	1	35	20	17	3	42	183	186	135	15	22	9	18	37	9	1	11.11%	7	1	85.71%	0	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104
3	Canucks	1	0	0	0	1	0	0	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	35	20	17	3	28	183	186	135	15	18	5	12	26	10	1	10.00%	6	2	66.67%	0	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104
4	Checkers	2	1	1	0	0	0	0	0	8	6	2	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	6	3	3	2	0.500	8	14	22	0	0	35	20	17	3	58	183	186	135	15	32	11	34	44	14	3	21.43%	16	3	81.25%	0	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104
5	Islanders	2	2	0	0	0	0	0	0	18	3	15	1	1	0	0	0	0	0	0	10	1	9	1	1	0	0	0	0	0	0	8	2	6	4	1.000	18	35	53	0	0	35	20	17	3	106	183	186	135	15	25	9	24	53	6	1	16.67%	11	2	81.82%	0	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104
6	Penguins	2	1	0	0	1	0	0	0	13	3	10	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	9	0	9	4	1.000	13	25	38	0	1	35	20	17	3	95	183	186	135	15	31	8	21	43	4	1	25.00%	8	2	75.00%	0	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104
7	Phantoms	3	1	1	0	0	1	0	0	14	9	5	1	0	0	0	0	1	0	0	3	4	-1	2	1	1	0	0	0	0	0	11	5	6	3	0.500	14	27	41	0	0	35	20	17	3	71	183	186	135	15	67	17	49	59	11	5	45.45%	17	2	88.24%	0	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104
8	Wolves	2	0	1	0	0	0	0	1	2	6	-4	1	0	1	0	0	0	0	0	0	3	-3	1	0	0	0	0	0	0	1	2	3	-1	1	0.250	2	3	5	0	0	35	20	17	3	41	183	186	135	15	26	11	24	32	10	0	0.00%	7	0	100.00%	0	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104
	Total	16	8	4	0	2	1	0	1	74	36	38	8	2	3	0	2	1	0	0	31	22	9	8	6	1	0	0	0	0	1	43	14	29	22	0.688	74	137	211	0	2	35	20	17	3	515	183	186	135	15	245	78	209	342	69	15	21.74%	82	12	85.37%	1	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104
	_Since Last GM Reset	16	8	4	0	2	1	0	1	74	36	38	8	2	3	0	2	1	0	0	31	22	9	8	6	1	0	0	0	0	1	43	14	29	22	0.688	74	137	211	0	2	35	20	17	3	515	183	186	135	15	245	78	209	342	69	15	21.74%	82	12	85.37%	1	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104
	_Vs Conference	16	8	4	0	2	1	0	1	74	36	38	8	2	3	0	2	1	0	0	31	22	9	8	6	1	0	0	0	0	1	43	14	29	22	0.688	74	137	211	0	2	35	20	17	3	515	183	186	135	15	245	78	209	342	69	15	21.74%	82	12	85.37%	1	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104
	_Vs Division	11	8	4	0	1	1	0	1	59	24	35	5	2	3	0	1	1	0	0	25	13	12	6	6	1	0	0	0	0	1	34	11	23	20	0.909	59	112	171	0	1	35	20	17	3	387	183	186	135	15	173	53	145	235	36	10	27.78%	53	6	88.68%	1	317	481	65.90%	209	330	63.33%	150	251	59.76%	516	395	271	91	186	104

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
16	22	OTL1	74	137	211	515	245	78	209	342	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	8	4	2	1	0	1	74	36

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	3	2	1	0	0	31	22

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	6	1	0	0	0	1	43	14

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	2	2	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
69	15	21.74%	82	12	85.37%	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
183	186	135	15	35	20	17	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
317	481	65.90%	209	330	63.33%	150	251	59.76%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
516	395	271	91	186	104

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
1	4	Wolf Pack	9	Phantoms	1	W			BoxScore
2	25	Bruins	3	Wolf Pack	0	L			BoxScore
3	38	Bears	2	Wolf Pack	8	W			BoxScore
4	56	Wolf Pack	4	Bears	1	W			BoxScore
5	64	Wolf Pack	8	Islanders	2	W			BoxScore
7	79	Wolves	3	Wolf Pack	0	L			BoxScore
9	106	Wolf Pack	3	Bruins	0	W			BoxScore
10	116	Canucks	3	Wolf Pack	4	W	X		BoxScore
11	134	Wolf Pack	9	Penguins	0	W			BoxScore
13	150	Penguins	3	Wolf Pack	4	W	X		BoxScore
14	167	Islanders	1	Wolf Pack	10	W			BoxScore
16	185	Wolf Pack	2	Wolves	3	L	X	X	BoxScore
17	194	Wolf Pack	2	Phantoms	4	L			BoxScore
19	216	Checkers	3	Wolf Pack	2	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
22	232	Wolf Pack	6	Checkers	3	W			BoxScore
23	242	Phantoms	4	Wolf Pack	3	L	X		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	19	0
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,231,416$	2,331,416$	475,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	0$	0$

Wolf Pack 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

Wolf Pack 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

Wolf Pack 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

Wolf Pack 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

Wolf Pack 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

	Wolf Pack
	GP: 16 \| W: 10 \| L: 4 \| OTL: 2 \| P: 22 GF: 74 \| GA: 36 \| PP%: 21.74% \| PK%: 85.37% GM : Steve \| Morale : 50 \| Team Overall : 59