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

Game Center
	Wolf Pack 34-42-6, 74pts	6	Box score	0	Checkers 11-66-5, 27pts

Team Stats
L1	Streak	L5
18-22-1	Home Record	6-31-4
16-20-5	Home Record	5-35-1
4-6-0	Last 10 Games	2-8-0
2.84	Goals Per Game	2.17
3.50	Goals Against Per Game	4.91
20.92%	Power Play Percentage	11.70%
78.24%	Penalty Kill Percentage	66.47%

Wolf Pack
34-42-6, 74pts

Box score

Crunch
33-39-10, 76pts

Team Stats
L1	Streak	W2
18-22-1	Home Record	20-14-7
16-20-5	Home Record	13-25-3
4-6-0	Last 10 Games	4-3-3
2.84	Goals Per Game	2.70
3.50	Goals Against Per Game	3.07
20.92%	Power Play Percentage	14.18%
78.24%	Penalty Kill Percentage	81.61%

Team Leaders
	Goals Danila Klimovich 31	Assists Danila Klimovich 42

	Points Danila Klimovich 73	Plus/Minus John Farinacci 6

	Wins Callum Tung 34	Save Percentage Michael Simpson 0.927

Team Stats
Goals For 233 2.84 GFG	Shots For 2415 29.45 Avg	Power Play Percentage 20.9% 64 GF	Offensive Zone Start 39.8%
Goals Against 287 3.50 GAA	Shots Against 2832 34.54 Avg	Penalty Kill Percentage 78.2%% 52 GA	Defensive Zone Start 41.2%

Team Info
	General Manager	Marc Bonin
	Coach	Jeff Blashill
	Division	Metropolitan Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	5,000
	Attendance	4,650
	Season Tickets	3,750
Roster Info
	Pro Team	20
	Farm Team	20
	Contract Limit	40 / 70
	Prospects	32

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	SP	Age	Contract	Salary
1	John Farinacci	X		X		100.00	73	36	94	65	72	77	84	63	71	64	61	62	65	64	66	0	40	64	0	25	2	925,000$
2	Fredrik Karlstrom	X				100.00	74	39	93	60	83	81	79	59	62	56	61	58	64	67	69	0	40	63	0	28	3	1,300,000$
3	Bokondji Imama		X			100.00	77	85	54	59	82	67	78	57	53	59	58	56	55	69	70	0	40	61	0	30	1	950,000$
4	Danila Klimovich		X	X		100.00	72	42	73	60	81	90	76	59	57	55	61	58	63	62	64	0	40	61	0	23	3	925,000$
5	Filip Mesar (R)			X		100.00	56	36	87	63	65	74	67	61	65	62	54	53	64	61	63	0	40	60	0	22	3	925,000$
6	Gabriel Szturc (R)	X	X			100.00	62	37	91	59	71	69	70	58	63	57	56	55	54	62	64	0	40	60	0	22	3	925,000$
7	Bryce McConnell-Barker (R)	X				100.00	67	39	84	57	76	67	72	56	59	54	55	58	54	61	63	0	40	59	0	22	3	925,000$
8	Matthew Sop	X	X			100.00	62	37	90	58	71	73	63	56	61	59	57	55	58	62	64	0	40	59	0	23	3	925,000$
9	Ondrej Becher (R)	X	X	X		100.00	65	37	95	58	74	71	70	55	61	56	57	54	58	61	63	0	40	59	0	22	3	925,000$
10	Ryder Korczak	X		X		100.00	58	37	88	58	67	75	81	57	62	56	55	53	54	63	65	0	40	59	0	23	2	925,000$
11	Miko Matikka (R)		X	X		100.00	72	38	95	54	81	65	64	53	55	52	50	56	51	62	64	0	40	58	0	22	3	925,000$
12	Jack Thompson				X	100.00	64	37	92	66	75	84	83	65	30	67	63	62	54	63	65	0	40	65	0	24	1	925,000$
13	Vladislav Kolyachonok				X	100.00	69	38	89	67	79	77	74	65	30	66	60	63	52	64	66	0	40	64	0	25	1	925,000$
14	Guillaume Brisebois (R)				X	100.00	65	37	90	58	75	81	70	57	30	56	55	62	49	68	70	0	40	61	0	29	3	925,000$
15	Jake Bischoff				X	100.00	66	39	82	62	75	76	82	56	30	60	53	55	46	71	76	0	40	61	0	32	2	925,000$
16	Cole Clayton				X	100.00	73	40	82	59	82	64	83	58	30	57	53	56	45	65	67	0	40	61	0	26	1	925,000$
17	Samuel Knazko				X	100.00	68	38	92	58	77	64	78	55	30	57	54	56	46	63	65	0	40	60	0	24	1	925,000$
Scratches
1	Ole Bjorgvik-Holm (R)				X	100.00	69	41	70	55	78	64	68	54	30	52	53	56	45	63	65	0	40	58	0	24	3	925,000$

	TEAM AVERAGE					100.00	67	41	86	60	76	73	75	58	49	58	56	57	54	64	66	0	40	61

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	Callum Tung	100.00	67	70	66	83	66	65	67	66	65	67	66	62	67	0	40	62	0	22	3	925,000$
2	Michael Simpson	100.00	66	72	68	75	65	64	66	65	64	66	65	62	67	0	40	61	0	22	3	925,000$
Scratches

	TEAM AVERAGE	100.00	67	71	67	79	66	65	67	66	65	67	66	62	67	0	40	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeff Blashill	65	70	79	64	76	71	74	USA	51	2	1,000,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Danila Klimovich	Wolf Pack (NYR)	LW/RW	82	31	42	73	2	54	10	262	145	304	91	243	10.20%	35	1994	24.32	9	18	27	101	304	1	0	1	4	231	3	2	42.93%	198	0	3	0.73	2	5	0	0	2	7	7	4
2	Filip Mesar	Wolf Pack (NYR)	RW	82	20	38	58	-3	6	0	30	164	228	84	149	8.77%	20	1845	22.51	4	14	18	49	192	1	1	2	10	147	2	1	50.79%	504	0	0	0.63	1	3	0	0	0	0	3	5
3	Ondrej Becher	Wolf Pack (NYR)	C/LW/RW	82	20	35	55	-35	16	0	111	178	185	68	133	10.81%	34	1689	20.60	7	12	19	35	195	0	0	0	1	45	4	1	46.15%	1547	0	0	0.65	0	3	0	0	0	4	3	2
4	Guillaume Brisebois	Wolf Pack (NYR)	D	82	16	29	45	-24	30	0	106	110	122	45	84	13.11%	109	1541	18.79	10	7	17	64	172	0	1	1	1	134	1	0	0%	0	0	0	0.58	0	0	0	0	0	0	1	5
5	Bokondji Imama	Wolf Pack (NYR)	LW	82	13	30	43	-28	79	15	264	101	183	70	151	7.10%	28	1417	17.29	5	10	15	40	190	0	0	0	2	85	2	1	38.71%	93	0	0	0.61	0	3	2	0	1	2	3	1
6	Gabriel Szturc	Wolf Pack (NYR)	C/LW	82	24	18	42	-28	14	0	73	113	185	52	114	12.97%	17	1387	16.92	0	0	0	12	29	0	0	0	0	41	6	1	49.57%	468	0	0	0.61	0	2	0	0	0	4	5	0
7	Vladislav Kolyachonok	Wolf Pack (NYR)	D	59	9	32	41	-6	24	0	76	95	89	24	60	10.11%	77	1295	21.96	2	3	5	30	75	0	1	1	0	145	1	1	0%	0	2	0	0.63	0	0	0	0	0	1	2	0
8	Jake Bischoff	Wolf Pack (NYR)	D	82	9	31	40	-24	48	0	165	95	92	31	62	9.78%	107	1830	22.33	3	11	14	45	170	0	0	0	0	153	1	1	0%	0	0	0	0.44	0	0	0	0	0	2	0	4
9	Fredrik Karlstrom	Wolf Pack (NYR)	C	82	16	20	36	-5	14	0	54	64	171	51	99	9.36%	10	625	7.63	13	17	30	123	311	0	0	0	6	100	3	2	48.14%	779	0	1	1.15	0	5	0	0	0	1	2	2
10	Bryce McConnell-Barker	Wolf Pack (NYR)	C	82	15	20	35	-31	26	0	71	163	145	43	83	10.34%	45	1498	18.27	0	0	0	2	2	0	0	0	0	0	0	0	42.21%	1445	0	0	0.47	0	0	0	0	0	1	2	3
11	Ryder Korczak	Wolf Pack (NYR)	C/RW	82	12	21	33	-37	14	0	71	154	176	51	131	6.82%	18	1426	17.40	0	0	0	0	0	0	0	0	0	0	1	0	47.23%	578	0	1	0.46	0	0	0	0	0	1	2	0
12	Cody Glass	Rangers	C	28	10	18	28	-1	12	0	33	99	128	27	87	7.81%	8	587	20.99	1	4	5	28	87	0	0	0	0	0	1	1	57.67%	619	1	0	0.95	0	0	0	0	0	2	3	0
13	Cole Clayton	Wolf Pack (NYR)	D	82	3	23	26	-26	79	5	158	91	71	16	54	4.23%	94	1463	17.84	1	5	6	21	112	0	0	0	0	102	1	0	0%	1	0	0	0.36	0	0	0	1	0	0	2	0
14	Miko Matikka	Wolf Pack (NYR)	LW/RW	82	8	15	23	-48	32	0	74	86	147	32	95	5.44%	23	1497	18.26	0	0	0	0	4	0	0	0	0	0	0	0	43.82%	89	0	0	0.31	0	0	0	0	0	1	1	0
15	Samuel Knazko	Wolf Pack (NYR)	D	82	6	16	22	-21	24	0	69	59	66	25	45	9.09%	73	1247	15.21	4	5	9	29	117	0	0	0	0	29	1	0	0%	1	0	0	0.35	0	0	0	0	0	0	0	1
16	Conor Timmins	Rangers	D	20	8	10	18	1	18	0	36	47	37	16	26	21.62%	32	483	24.20	4	2	6	24	65	0	0	0	0	57	2	1	0%	0	1	0	0.74	0	0	0	0	0	2	1	1
17	John Farinacci	Wolf Pack (NYR)	C/RW	20	9	6	15	6	4	0	34	72	55	25	68	16.36%	8	488	24.43	1	2	3	14	65	1	0	1	1	68	1	0	49.38%	569	0	1	0.61	0	2	0	0	0	1	0	0
18	Ole Bjorgvik-Holm	Wolf Pack (NYR)	D	28	1	3	4	-5	30	0	65	13	17	7	9	5.88%	24	532	19.01	0	0	0	0	3	0	0	0	0	6	1	0	0%	0	0	0	0.15	0	0	0	0	0	1	0	0
Team Total or Average				1221	230	407	637	-313	524	30	1752	1849	2401	758	1693	9.58%	762	22853	18.72	64	110	174	617	2103	3	3	6	25	1350	31	12	47.28%	6891	4	6	0.56	3	23	2	1	3	30	37	28

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Callum Tung	Wolf Pack (NYR)	82	34	41	6	0.898	3.50	4618	6	2	269	2625	2	1	0.913	23	82	0	6	2	3
2	Michael Simpson	Wolf Pack (NYR)	10	0	1	0	0.927	2.74	328	0	0	15	206	1	0	0	0	0	82	0	0	0
Team Total or Average			92	34	42	6	0.900	3.45	4947	6	2	284	2831	3	1		23	82	82	6	2	3

Show or Hide Columns

Filter Tips

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

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 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
Bokondji Imama	Wolf Pack (NYR)	LW	30	1996-08-03	CAN	No	221 Lbs	185 CM	No	No	Assign Manually	Yes	Yes	1	2024-07-17	False	False	Pro & Farm	950,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Bryce McConnell-Barker	Wolf Pack (NYR)	C	22	2004-06-04	CAN	Yes	191 Lbs	185 CM	No	No	Prospect	No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Callum Tung	Wolf Pack (NYR)	G	22	2003-11-23	CAN	No	198 Lbs	191 CM	No	No	Free Agent	No	No	3	2025-07-05	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Cole Clayton	Wolf Pack (NYR)	D	26	2000-02-29	CAN	No	209 Lbs	188 CM	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Danila Klimovich	Wolf Pack (NYR)	LW/RW	23	2003-01-09	BLR	No	202 Lbs	188 CM	No	No	N/A	No	No	3	2025-05-22	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Filip Mesar	Wolf Pack (NYR)	RW	22	2004-01-03	SVK	Yes	176 Lbs	175 CM	No	No	Prospect	No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Fredrik Karlstrom	Wolf Pack (NYR)	C	28	1998-01-12	SWE	No	200 Lbs	191 CM	No	No	N/A	Yes	Yes	3		False	False	Pro & Farm	1,300,000$	0$	0$	No	1,300,000$	1,300,000$	-	-	-	-	-	-	-	1,300,000$	1,300,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Gabriel Szturc	Wolf Pack (NYR)	C/LW	22	2003-09-24	CZE	Yes	194 Lbs	180 CM	No	No	Prospect	No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Guillaume Brisebois	Wolf Pack (NYR)	D	29	1997-07-21	CAN	Yes	175 Lbs	188 CM	No	No	Draft	No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jack Thompson	Wolf Pack (NYR)	D	24	2002-03-19	CAN	No	189 Lbs	185 CM	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jake Bischoff	Wolf Pack (NYR)	D	32	1994-07-25	USA	No	188 Lbs	185 CM	No	No	Prospect	Yes	Yes	2	2024-05-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
John Farinacci	Wolf Pack (NYR)	C/RW	25	2001-02-14	USA	No	197 Lbs	180 CM	No	No	Prospect	No	No	2	2024-05-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Sop	Wolf Pack (NYR)	C/LW	23	2003-02-04	CAN	No	185 Lbs	183 CM	No	No	Free Agent	No	No	3	2025-07-05	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Michael Simpson	Wolf Pack (NYR)	G	22	2003-09-03	CAN	No	188 Lbs	185 CM	No	No	Free Agent	No	No	3	2025-07-05	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Miko Matikka	Wolf Pack (NYR)	LW/RW	22	2003-10-26	FIN	Yes	187 Lbs	191 CM	No	No	Prospect	No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ole Bjorgvik-Holm	Wolf Pack (NYR)	D	24	2002-05-23	NOR	Yes	190 Lbs	188 CM	No	No	Draft	No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ondrej Becher	Wolf Pack (NYR)	C/LW/RW	22	2004-02-22	CZE	Yes	184 Lbs	185 CM	No	No	Draft	No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ryder Korczak	Wolf Pack (NYR)	C/RW	23	2002-09-23	CAN	No	171 Lbs	180 CM	No	No	Prospect	No	No	2	2024-05-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Samuel Knazko	Wolf Pack (NYR)	D	24	2002-08-07	SVK	No	198 Lbs	185 CM	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Vladislav Kolyachonok	Wolf Pack (NYR)	D	25	2001-05-26	BLR	No	195 Lbs	188 CM	No	No	N/A	No	No	1	2024-05-18	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	24.50	192 Lbs	185 CM	2.35	945,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Danila Klimovich		Filip Mesar	40	1	2	2
2	Bokondji Imama	Bryce McConnell-Barker	Miko Matikka	30	1	2	2
3	Gabriel Szturc	Ondrej Becher	Ryder Korczak	20	1	2	2
4	Ondrej Becher	Ryder Korczak	Miko Matikka	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vladislav Kolyachonok		40	1	2	2
2	Guillaume Brisebois	Jake Bischoff	30	1	2	2
3	Cole Clayton	Samuel Knazko	20	1	2	2
4	Jake Bischoff	Cole Clayton	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Danila Klimovich	Fredrik Karlstrom		60	1	2	2
2	Bokondji Imama	Ondrej Becher	Filip Mesar	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cole Clayton	Samuel Knazko	60	1	2	2
2	Guillaume Brisebois	Jake Bischoff	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Filip Mesar	Danila Klimovich	60	1	2	2
2	Fredrik Karlstrom	Bokondji Imama	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vladislav Kolyachonok	Cole Clayton	60	1	2	2
2	Guillaume Brisebois	Jake Bischoff	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Danila Klimovich	60	1	2	2	Vladislav Kolyachonok	Cole Clayton	60	1	2	2
2	Fredrik Karlstrom	40	1	2	2	Guillaume Brisebois	Jake Bischoff	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Filip Mesar	Danila Klimovich	60	1	2	2
2	Fredrik Karlstrom	Bokondji Imama	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cole Clayton	Vladislav Kolyachonok	60	1	2	2
2	Guillaume Brisebois	Jake Bischoff	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Danila Klimovich		Filip Mesar	Vladislav Kolyachonok	Jake Bischoff

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Bokondji Imama		Danila Klimovich	Vladislav Kolyachonok	Jake Bischoff

Extra Forwards
Normal	PowerPlay	Penalty Kill
Filip Mesar, Gabriel Szturc, Ondrej Becher	Filip Mesar, Gabriel Szturc	Filip Mesar

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jake Bischoff, Cole Clayton, Samuel Knazko	Jake Bischoff	Jake Bischoff, Cole Clayton

Penalty Shots
Ondrej Becher, Fredrik Karlstrom, Danila Klimovich, Bokondji Imama, Filip Mesar

Goalie
#1 : Callum Tung, #2 : Michael Simpson

Custom OT Lines Forwards
Danila Klimovich, Bokondji Imama, Fredrik Karlstrom, Filip Mesar, Ondrej Becher, Gabriel Szturc, , Ryder Korczak, Miko Matikka, Bryce McConnell-Barker

Custom OT Lines Defensemen
Jake Bischoff, Guillaume Brisebois, Samuel Knazko, , Vladislav Kolyachonok

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	Admirals	2	1	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	0	2	-2	1	1	0	0	0	0	0	0	4	3	1	2	0.500	4	4	8	0	0	86	79	60	8	74	751	854	784	49	47	11	14	31	12	3	25.00%	7	0	100.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
2	Americans	3	0	1	0	1	0	0	1	10	11	-1	2	0	1	0	1	0	0	0	7	7	0	1	0	0	0	0	0	0	1	3	4	-1	3	0.500	10	16	26	0	0	86	79	60	8	71	751	854	784	49	111	32	16	66	7	1	14.29%	8	2	75.00%	1	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
3	Barracuda	2	0	1	0	0	1	0	0	4	9	-5	1	0	0	0	0	1	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	5	-4	1	0.250	4	8	12	0	0	86	79	60	8	47	751	854	784	49	72	20	14	51	6	1	16.67%	7	1	85.71%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
4	Bears	4	0	3	0	0	1	0	0	9	15	-6	2	0	2	0	0	0	0	0	4	6	-2	2	0	1	0	0	1	0	0	5	9	-4	1	0.125	9	17	26	0	0	86	79	60	8	102	751	854	784	49	162	46	24	81	16	3	18.75%	10	2	80.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
5	Bruins	3	1	2	0	0	0	0	0	8	12	-4	1	1	0	0	0	0	0	0	6	2	4	2	0	2	0	0	0	0	0	2	10	-8	2	0.333	8	13	21	1	0	86	79	60	8	115	751	854	784	49	89	29	26	60	11	2	18.18%	13	2	84.62%	1	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
6	Canucks	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	6	10	16	0	0	86	79	60	8	75	751	854	784	49	85	27	8	49	10	1	10.00%	4	2	50.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
7	Checkers	3	3	0	0	0	0	0	0	12	3	9	1	1	0	0	0	0	0	0	2	0	2	2	2	0	0	0	0	0	0	10	3	7	6	1.000	12	24	36	0	2	86	79	60	8	132	751	854	784	49	91	27	19	49	8	4	50.00%	7	0	100.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
8	Comets	3	1	2	0	0	0	0	0	5	8	-3	2	0	2	0	0	0	0	0	3	7	-4	1	1	0	0	0	0	0	0	2	1	1	2	0.333	5	8	13	0	0	86	79	60	8	92	751	854	784	49	96	22	18	53	12	1	8.33%	8	1	87.50%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
9	Condors	2	1	1	0	0	0	0	0	9	9	0	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	6	4	2	2	0.500	9	15	24	0	0	86	79	60	8	52	751	854	784	49	61	13	16	58	9	4	44.44%	7	1	85.71%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
10	Crunch	3	0	3	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	1	2	-1	2	0	2	0	0	0	0	0	3	7	-4	0	0.000	4	8	12	0	0	86	79	60	8	83	751	854	784	49	111	35	12	66	11	0	0.00%	6	2	66.67%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
11	Eagles	2	0	1	0	0	0	1	0	6	9	-3	1	0	1	0	0	0	0	0	1	5	-4	1	0	0	0	0	0	1	0	5	4	1	2	0.500	6	8	14	0	0	86	79	60	8	65	751	854	784	49	65	20	8	52	8	0	0.00%	4	1	75.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
12	Firebirds	2	1	0	0	0	0	0	1	5	5	0	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	5	10	15	0	0	86	79	60	8	46	751	854	784	49	48	13	8	44	5	1	20.00%	4	0	100.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
13	Griffins	3	2	1	0	0	0	0	0	11	12	-1	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	5	4	1	4	0.667	11	22	33	0	0	86	79	60	8	79	751	854	784	49	101	32	12	60	12	3	25.00%	5	2	60.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
14	Gulls	2	0	1	0	1	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	1	0	0	0	3	2	1	2	0.500	4	7	11	0	0	86	79	60	8	64	751	854	784	49	74	16	10	45	5	0	0.00%	4	1	75.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
15	Heat	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	4	7	0	0	86	79	60	8	47	751	854	784	49	58	17	10	43	10	1	10.00%	4	0	100.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
16	IceHogs	2	0	1	0	0	1	0	0	3	9	-6	1	0	1	0	0	0	0	0	0	5	-5	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	3	4	7	0	0	86	79	60	8	56	751	854	784	49	89	27	14	51	4	0	0.00%	7	1	85.71%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
17	Marlies	3	2	1	0	0	0	0	0	12	7	5	1	1	0	0	0	0	0	0	3	1	2	2	1	1	0	0	0	0	0	9	6	3	4	0.667	12	24	36	0	0	86	79	60	8	91	751	854	784	49	97	28	18	67	17	2	11.76%	9	3	66.67%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
18	Monsters	3	2	1	0	0	0	0	0	10	12	-2	1	1	0	0	0	0	0	0	4	3	1	2	1	1	0	0	0	0	0	6	9	-3	4	0.667	10	19	29	0	0	86	79	60	8	69	751	854	784	49	104	22	12	66	6	1	16.67%	6	1	83.33%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
19	Moose	2	2	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	14	21	0	0	86	79	60	8	73	751	854	784	49	62	13	20	49	5	1	20.00%	10	1	90.00%	1	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
20	Penguins	4	2	2	0	0	0	0	0	14	11	3	2	2	0	0	0	0	0	0	8	3	5	2	0	2	0	0	0	0	0	6	8	-2	4	0.500	14	26	40	0	0	86	79	60	8	121	751	854	784	49	123	30	26	91	21	5	23.81%	12	3	75.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
21	Phantoms	4	1	3	0	0	0	0	0	8	14	-6	2	1	1	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	2	6	-4	2	0.250	8	14	22	0	0	86	79	60	8	104	751	854	784	49	150	45	46	71	11	3	27.27%	17	3	82.35%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
22	Reign	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	13	20	0	0	86	79	60	8	54	751	854	784	49	72	21	14	53	7	2	28.57%	6	2	66.67%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
23	Roadrunners	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	6	12	18	0	0	86	79	60	8	60	751	854	784	49	71	25	8	50	5	2	40.00%	4	1	75.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
24	Rocket	3	0	2	0	1	0	0	0	9	13	-4	2	0	2	0	0	0	0	0	5	10	-5	1	0	0	0	1	0	0	0	4	3	1	2	0.333	9	17	26	0	0	86	79	60	8	103	751	854	784	49	133	30	22	63	8	0	0.00%	11	2	81.82%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
25	Senators	3	0	3	0	0	0	0	0	7	12	-5	2	0	2	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	7	13	20	0	0	86	79	60	8	96	751	854	784	49	91	26	24	68	12	2	16.67%	12	4	66.67%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
26	Silver Knights	2	1	0	0	1	0	0	0	7	5	2	1	0	0	0	1	0	0	0	5	4	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	7	11	18	0	0	86	79	60	8	50	751	854	784	49	64	19	12	40	6	3	50.00%	6	2	66.67%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
27	Sound Tigers	4	0	3	0	0	0	1	0	9	20	-11	2	0	1	0	0	0	1	0	5	9	-4	2	0	2	0	0	0	0	0	4	11	-7	2	0.250	9	16	25	0	0	86	79	60	8	102	751	854	784	49	133	49	37	90	14	2	14.29%	16	5	68.75%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
28	Stars	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	3	2	1	2	0.500	6	11	17	0	0	86	79	60	8	52	751	854	784	49	58	19	13	54	9	3	33.33%	3	2	33.33%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
29	Thunderbirds	2	0	1	0	0	0	1	0	10	10	0	1	0	0	0	0	0	1	0	6	5	1	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	10	13	23	0	0	86	79	60	8	60	751	854	784	49	92	23	21	41	6	4	66.67%	8	3	62.50%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
30	Wild	2	1	0	0	0	1	0	0	5	5	0	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	5	10	15	0	0	86	79	60	8	56	751	854	784	49	50	17	10	44	11	4	36.36%	5	1	80.00%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
31	Wolves	4	0	3	0	1	0	0	0	13	19	-6	2	0	1	0	1	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	7	11	-4	2	0.250	13	23	36	0	0	86	79	60	8	124	751	854	784	49	172	43	24	105	22	5	22.73%	9	1	88.89%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
	Total	82	26	42	0	5	4	3	2	233	287	-54	41	13	22	0	3	1	2	0	115	141	-26	41	13	20	0	2	3	1	2	118	146	-28	74	0.451	233	414	647	1	2	86	79	60	8	2415	751	854	784	49	2832	797	536	1811	306	64	20.92%	239	52	78.24%	3	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
	_Since Last GM Reset	82	26	42	0	5	4	3	2	233	287	-54	41	13	22	0	3	1	2	0	115	141	-26	41	13	20	0	2	3	1	2	118	146	-28	74	0.451	233	414	647	1	2	86	79	60	8	2415	751	854	784	49	2832	797	536	1811	306	64	20.92%	239	52	78.24%	3	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
	_Vs Conference	50	14	30	0	3	1	1	1	141	178	-37	25	8	14	0	2	0	1	0	70	80	-10	25	6	16	0	1	1	0	1	71	98	-27	38	0.380	141	260	401	1	2	86	79	60	8	1484	751	854	784	49	1764	496	336	1056	188	34	18.09%	149	33	77.85%	2	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517
	_Vs Division	26	6	17	0	1	1	1	0	68	99	-31	13	4	7	0	1	0	1	0	36	44	-8	13	2	10	0	0	1	0	0	32	55	-23	17	0.327	68	123	191	0	0	86	79	60	8	714	751	854	784	49	940	257	187	557	102	20	19.61%	78	16	79.49%	0	1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%	1869	1273	2031	614	1054	517

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	74	L1	233	414	647	2415	2832	797	536	1811	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	26	42	5	4	3	2	233	287

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	13	22	3	1	2	0	115	141

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	13	20	2	3	1	2	118	146

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	6	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
306	64	20.92%	239	52	78.24%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
751	854	784	49	86	79	60	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1334	2790	47.81%	1352	2888	46.81%	612	1340	45.67%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1869	1273	2031	614	1054	517

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 - 2025-09-26	2	Penguins	1	Wolf Pack	4	W			Box score
3 - 2025-09-28	9	Wolf Pack	3	Americans	4	L	X	X	Box score
5 - 2025-09-30	29	Wolf Pack	3	Penguins	4	L			Box score
6 - 2025-10-01	38	Bears	3	Wolf Pack	2	L			Box score
8 - 2025-10-03	51	Condors	5	Wolf Pack	3	L			Box score
10 - 2025-10-05	61	Wolf Pack	6	Marlies	2	W			Box score
12 - 2025-10-07	80	Wolf Pack	4	Rocket	3	W	X		Box score
14 - 2025-10-09	93	Wild	2	Wolf Pack	3	W			Box score
17 - 2025-10-12	116	Barracuda	4	Wolf Pack	3	L	X		Box score
20 - 2025-10-15	146	Wolf Pack	1	Heat	3	L			Box score
22 - 2025-10-17	163	Wolf Pack	3	Canucks	4	L			Box score
24 - 2025-10-19	175	Wolf Pack	6	Condors	4	W			Box score
26 - 2025-10-21	193	Wolf Pack	2	Firebirds	3	L	X	X	Box score
29 - 2025-10-24	206	Wolves	4	Wolf Pack	1	L			Box score
32 - 2025-10-27	227	Wolf Pack	5	Griffins	4	W			Box score
33 - 2025-10-28	237	Sound Tigers	6	Wolf Pack	1	L			Box score
35 - 2025-10-30	253	Admirals	2	Wolf Pack	0	L			Box score
37 - 2025-11-01	265	Wolf Pack	1	Crunch	2	L			Box score
40 - 2025-11-04	290	Wolf Pack	4	Monsters	2	W			Box score
41 - 2025-11-05	299	Griffins	3	Wolf Pack	5	W			Box score
43 - 2025-11-07	313	Wolf Pack	2	Silver Knights	1	W			Box score
45 - 2025-11-09	326	Wolf Pack	5	Eagles	4	W	X	X	Box score
47 - 2025-11-11	344	Wolf Pack	2	Roadrunners	1	W			Box score
49 - 2025-11-13	355	Thunderbirds	5	Wolf Pack	6	W	X	X	Box score
51 - 2025-11-15	368	Wolf Pack	3	Wolves	5	L			Box score
53 - 2025-11-17	376	Wolf Pack	2	Bruins	4	L			Box score
54 - 2025-11-18	391	Crunch	2	Wolf Pack	1	L			Box score
57 - 2025-11-21	415	Stars	5	Wolf Pack	3	L			Box score
59 - 2025-11-23	427	Wolf Pack	3	Senators	6	L			Box score
61 - 2025-11-25	441	Eagles	5	Wolf Pack	1	L			Box score
62 - 2025-11-26	458	Silver Knights	4	Wolf Pack	5	W	X		Box score
65 - 2025-11-29	476	Wolf Pack	3	IceHogs	4	L	X		Box score
68 - 2025-12-02	500	Rocket	5	Wolf Pack	4	L			Box score
70 - 2025-12-04	515	Gulls	3	Wolf Pack	1	L			Box score
71 - 2025-12-05	523	Canucks	7	Wolf Pack	3	L			Box score
73 - 2025-12-07	541	Wolf Pack	4	Thunderbirds	5	L			Box score
75 - 2025-12-09	549	Phantoms	5	Wolf Pack	1	L			Box score
76 - 2025-12-10	567	Wolf Pack	4	Admirals	3	W			Box score
78 - 2025-12-12	576	Wolf Pack	3	Bears	4	L	X		Box score
82 - 2025-12-16	588	Wolf Pack	3	Sound Tigers	5	L			Box score
84 - 2025-12-18	608	Wolf Pack	4	Wolves	6	L			Box score
86 - 2025-12-20	622	Wolf Pack	2	Bears	5	L			Box score
88 - 2025-12-22	641	Wolf Pack	4	Checkers	3	W			Box score
91 - 2025-12-25	662	Roadrunners	2	Wolf Pack	4	W			Box score
94 - 2025-12-28	685	Americans	4	Wolf Pack	3	L			Box score
96 - 2025-12-30	697	Wolf Pack	0	Bruins	6	L			Box score
98 - 2026-01-01	718	Firebirds	2	Wolf Pack	3	W			Box score
100 - 2026-01-03	737	Senators	5	Wolf Pack	4	L			Box score
103 - 2026-01-06	755	Wolf Pack	1	Phantoms	4	L			Box score
105 - 2026-01-08	779	Wolf Pack	3	Gulls	2	W	X		Box score
106 - 2026-01-09	787	Wolf Pack	3	Reign	2	W			Box score
109 - 2026-01-12	808	Wolf Pack	1	Barracuda	5	L			Box score
112 - 2026-01-15	826	Bruins	2	Wolf Pack	6	W			Box score
114 - 2026-01-17	842	Wolf Pack	1	Sound Tigers	6	L			Box score
115 - 2026-01-18	849	Sound Tigers	3	Wolf Pack	4	W	X	X	Box score
117 - 2026-01-20	861	Wolf Pack	3	Penguins	4	L			Box score
122 - 2026-01-25	906	Wolves	4	Wolf Pack	5	W	X		Box score
143 - 2026-02-15	924	Phantoms	3	Wolf Pack	5	W			Box score
145 - 2026-02-17	934	Penguins	2	Wolf Pack	4	W			Box score
147 - 2026-02-19	953	Monsters	3	Wolf Pack	4	W			Box score
150 - 2026-02-22	975	Marlies	1	Wolf Pack	3	W			Box score
152 - 2026-02-24	991	Wolf Pack	2	Comets	1	W			Box score
154 - 2026-02-26	1008	Wolf Pack	1	Phantoms	2	L			Box score
155 - 2026-02-27	1017	Heat	5	Wolf Pack	2	L			Box score
157 - 2026-03-01	1036	Wolf Pack	3	Moose	2	W			Box score
159 - 2026-03-03	1046	Wolf Pack	2	Wild	3	L	X		Box score
161 - 2026-03-05	1065	Reign	2	Wolf Pack	4	W			Box score
163 - 2026-03-07	1077	Comets	4	Wolf Pack	2	L			Box score
164 - 2026-03-08	1086	Wolf Pack	2	Monsters	7	L			Box score
Trade Deadline --- Trades can’t be done after this day is simulated!
167 - 2026-03-11	1110	Moose	3	Wolf Pack	4	W			Box score
168 - 2026-03-12	1119	Senators	1	Wolf Pack	0	L			Box score
170 - 2026-03-14	1136	Wolf Pack	3	Marlies	4	L			Box score
172 - 2026-03-16	1151	IceHogs	5	Wolf Pack	0	L			Box score
174 - 2026-03-18	1167	Checkers	0	Wolf Pack	2	W			Box score
176 - 2026-03-20	1182	Comets	3	Wolf Pack	1	L			Box score
178 - 2026-03-22	1195	Rocket	5	Wolf Pack	1	L			Box score
180 - 2026-03-24	1207	Griffins	5	Wolf Pack	1	L			Box score
181 - 2026-03-25	1227	Bears	3	Wolf Pack	2	L			Box score
184 - 2026-03-28	1244	Americans	3	Wolf Pack	4	W	X		Box score
187 - 2026-03-31	1268	Wolf Pack	3	Stars	2	W			Box score
189 - 2026-04-02	1283	Wolf Pack	6	Checkers	0	W			Box score
191 - 2026-04-04	1302	Wolf Pack	2	Crunch	5	L			Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3000	2000
Ticket Price	25	15
Attendance	113,908	76,740
Attendance PCT	92.61%	93.59%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	4650 - 93.00%	142,396$	5,838,248$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
2,865,550$	1,890,000$	1,890,000$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,865,575$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	14,974$	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: 82 \| W: 34 \| L: 42 \| OTL: 6 \| P: 74 GF: 233 \| GA: 287 \| PP%: 20.92% \| PK%: 78.24% GM : Marc Bonin \| Morale : 40 \| Team Overall : 61