Hurricanes
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Belleville Senators 1-1-0, 2pts	2	FINAL	0	Chicago Wolves 1-1-0, 2pts

Team Stats
L1	Streak	W1
0-1-0	Home Record	0-1-0
1-0-0	Home Record	1-0-0
1-1-0	Last 10 Games	1-1-0
2.00	Goals Per Game	2.50
1.50	Goals Against Per Game	2.50
0.00%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	100.00%

Chicago Wolves
1-1-0, 2pts

FINAL

San Diego Gulls
0-1-0, 0pts

Team Stats
W1	Streak	L1
0-1-0	Home Record	0-1-0
1-0-0	Home Record	0-0-0
1-1-0	Last 10 Games	0-1-0
2.50	Goals Per Game	3.00
2.50	Goals Against Per Game	5.00
0.00%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	100.00%

Chicago Wolves
1-1-0, 2pts

Day 4

Ontario Reign
0-1-0, 0pts

Team Stats
W1	Streak	L1
0-1-0	Home Record	0-1-0
1-0-0	Away Record	0-0-0
1-1-0	Last 10 Games	0-1-0
2.50	Goals Per Game	3.00
2.50	Goals Against Per Game	3.00
0.00%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	100.00%

Chicago Wolves
1-1-0, 2pts

Day 6

San Jose Barracuda
1-0-0, 2pts

Team Stats
W1	Streak	W1
0-1-0	Home Record	1-0-0
1-0-0	Away Record	0-0-0
1-1-0	Last 10 Games	1-0-0
2.50	Goals Per Game	4.00
2.50	Goals Against Per Game	4.00
0.00%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	100.00%

Chicago Wolves
1-1-0, 2pts

Day 8

Coachella Valley Firebirds
0-2-0, 0pts

Team Stats
W1	Streak	L2
0-1-0	Home Record	0-0-0
1-0-0	Away Record	0-2-0
1-1-0	Last 10 Games	0-2-0
2.50	Goals Per Game	3.00
2.50	Goals Against Per Game	3.00
0.00%	Power Play Percentage	25.00%
100.00%	Penalty Kill Percentage	0.00%

Team Leaders
	Goals Brandon Duhaime 2	Assists Jesper Boqvist 2

	Points Jesper Boqvist 3	Plus/Minus Riley Stillman 1

	Wins Cory Schneider 1	Save Percentage Cory Schneider 0.881

Team Stats
Goals For 5 2.50 GFG	Shots For 47 23.50 Avg	Power Play Percentage 0.0% 0 GF	Offensive Zone Start 41.3%
Goals Against 5 2.50 GAA	Shots Against 42 21.00 Avg	Penalty Kill Percentage 100.0%% 0 GA	Defensive Zone Start 34.8%

Team Info
	General Manager	Petr Glotzmann
	Division	Atlantic Division
	Conference	Eastern Conference
	Captain
	Assistant #1	Sam Carrick
	Assistant #2	Gerry Mayhew
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	32
	Farm Team	18
	Contract Limit	50 / 80
	Prospects	38

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	Phillip Di Giuseppe		X	X		100.00	78	47	71	77	73	78	68	68	51	63	66	69	63	72	64	0	50	64	0	29	1	800,000$
2	Jesper Boqvist	X	X			100.00	68	37	84	76	70	72	88	67	56	61	62	67	62	62	53	0	50	63	0	24	1	1,100,000$
3	Brandon Duhaime		X	X		100.00	87	88	57	72	77	71	79	63	52	52	64	70	61	64	56	0	50	62	0	26	1	900,000$
4	Sam Carrick (A)	X				100.00	79	77	54	71	74	70	79	61	74	55	55	69	59	74	67	0	50	62	0	31	1	1,200,000$
5	Nathan Walker		X			100.00	75	55	74	72	67	70	81	62	75	60	53	72	59	70	62	0	50	62	0	29	1	1,000,000$
6	Tyson Foerster (R)			X		100.00	70	40	74	73	76	81	61	65	50	60	58	68	68	54	45	0	50	61	0	21	3	1,000,000$
7	Simon Holmstrom (R)		X	X		100.00	61	35	85	70	78	71	78	59	50	55	60	67	62	56	46	0	50	60	0	22	2	900,000$
8	Marian Studenic		X	X		100.00	66	40	76	69	74	67	60	63	50	51	50	58	61	62	52	0	50	57	0	24	2	700,000$
9	Tyce Thompson (R)			X		100.00	60	37	76	69	71	67	60	61	50	51	50	66	60	60	51	0	50	57	0	24	2	700,000$
10	Gerry Mayhew (A)	X		X		100.00	65	41	72	67	62	49	52	55	40	50	57	58	64	74	66	0	50	56	0	30	1	1,000,000$
11	Graeme Clarke			X		100.00	59	35	82	66	69	45	58	58	40	57	58	56	62	56	46	0	50	55	0	22	9	100,000$
12	Austin Poganski			X		100.00	56	35	79	58	77	45	60	50	35	50	48	59	54	66	56	0	50	54	0	27	1	800,000$
13	Riley Stillman				X	100.00	77	62	64	67	75	75	78	54	30	59	57	70	52	62	53	0	50	63	0	25	2	500,000$
14	Connor Carrick				X	100.00	75	40	73	67	71	79	60	53	30	55	55	61	53	70	61	0	50	60	0	29	1	800,000$
15	Trevor Carrick				X	100.00	58	54	65	56	71	52	56	55	30	56	53	62	53	70	61	0	50	56	0	29	1	700,000$
16	Nicolas Meloche				X	100.00	61	40	76	55	81	52	60	47	30	49	44	63	49	64	54	0	50	56	0	26	2	500,000$
17	Ryan Merkley				X	100.00	62	39	77	59	71	56	57	48	30	50	42	62	52	58	48	0	50	55	0	23	1	800,000$
18	Josh Wesley				X	100.00	54	38	79	54	81	50	58	44	30	45	46	57	50	64	55	0	50	54	0	27	10	100,000$
Scratches
1	Jack Dugan		X			100.00	58	49	69	57	79	44	59	50	36	49	51	55	61	62	53	0	50	53	0	25	9	100,000$
2	Brent Pedersen		X			100.00	51	35	86	51	81	48	52	48	30	45	52	56	47	68	57	0	50	52	0	28	10	100,000$
3	Tyler Bird			X		100.00	57	35	74	56	74	44	54	46	43	45	48	56	52	66	57	0	50	52	0	27	7	100,000$
4	Dylan Sadowy		X	X		100.00	53	35	75	53	77	45	52	44	30	43	44	55	49	66	57	0	50	50	0	27	6	100,000$
5	Ryan Lohin	X				100.00	54	36	80	55	72	46	55	43	30	43	43	55	55	66	56	0	50	50	0	27	10	100,000$
6	Filip Engaras	X				100.00	52	35	85	56	76	40	45	42	30	40	45	55	53	60	52	0	50	49	0	24	9	100,000$
7	Leo Loof				X	100.00	45	44	44	44	44	44	44	44	30	44	44	45	44	50	50	0	50	45	0	21	10	100,000$
8	Maksymilian Szuber				X	100.00	45	44	44	44	44	44	44	44	30	44	44	45	44	50	50	0	50	45	0	21	10	100,000$

	TEAM AVERAGE					100.00	63	44	72	62	72	58	61	54	41	51	52	61	56	63	55	0	50	56

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	Cory Schneider	99.00	62	53	50	78	63	59	60	65	64	64	61	86	78	0	50	60	0	37	1	1,200,000$
2	Gage Alexander	100.00	55	47	44	90	58	55	55	57	57	53	56	54	45	0	50	54	0	21	9	100,000$
Scratches
1	Sebastian Cossa	100.00	53	57	54	90	54	50	52	52	53	54	55	54	46	0	50	53	0	20	9	100,000$
2	Dylan Garand	100.00	57	52	49	64	59	56	57	58	58	58	56	54	43	0	50	53	0	21	8	100,000$
3	Callum Booth	100.00	42	44	41	81	45	41	43	43	44	50	55	64	54	0	50	49	0	26	7	100,000$
4	Erik Portillo (R)	100.00	30	30	30	30	30	30	30	30	30	30	30	50	50	0	50	37	0	23	7	100,000$

	TEAM AVERAGE	99.83	50	47	45	72	52	49	50	51	51	52	52	60	53	0	50	51

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	S1	S3
1	Jesper Boqvist	Chicago Wolves (CAR)	C/LW	2	1	2	3	0	0	0	6	4	0	6	25.00%	0	40	20.18	0	1	0	5	0	0	57.14%	35	1.49	0	1
2	Brandon Duhaime	Chicago Wolves (CAR)	LW/RW	2	2	1	3	0	0	7	1	3	1	4	66.67%	2	38	19.18	1	1	0	3	0	0	100.00%	3	1.56	1	0
3	Phillip Di Giuseppe	Chicago Wolves (CAR)	LW/RW	2	0	2	2	0	0	1	3	6	3	7	0%	0	33	16.94	0	1	0	0	0	0	0%	4	1.18	0	0
4	Marian Studenic	Chicago Wolves (CAR)	LW/RW	2	1	0	1	0	0	1	1	4	1	4	25.00%	0	25	12.92	0	0	0	0	1	0	50.00%	2	0.77	0	0
5	Simon Holmstrom	Chicago Wolves (CAR)	LW/RW	2	0	1	1	0	0	0	2	6	2	4	0%	0	27	13.87	0	2	0	0	0	0	50.00%	4	0.72	0	0
6	Josh Wesley	Chicago Wolves (CAR)	D	2	1	0	1	-1	0	2	0	2	0	0	50.00%	1	35	17.82	0	0	0	4	0	1	0%	0	0.56	0	0
7	Nicolas Meloche	Chicago Wolves (CAR)	D	2	0	1	1	0	2	1	2	1	1	1	0%	2	36	18.32	0	0	0	5	0	0	0%	0	0.55	0	0
8	Sam Carrick	Chicago Wolves (CAR)	C	2	0	1	1	0	4	8	3	2	0	3	0%	0	37	18.65	0	2	1	6	0	0	60.00%	35	0.54	0	0
9	Nathan Walker	Chicago Wolves (CAR)	LW	2	0	1	1	0	0	2	2	2	1	2	0%	1	39	19.52	0	2	0	8	0	0	71.43%	7	0.51	0	0
10	Riley Stillman	Chicago Wolves (CAR)	D	2	0	0	0	1	0	5	1	3	0	1	0%	0	45	22.77	1	1	0	6	0	0	0%	0	0	0	0
11	Austin Poganski	Chicago Wolves (CAR)	RW	2	0	0	0	0	0	2	1	2	0	1	0%	0	16	8.24	0	0	0	0	0	0	0%	0	0	0	0
12	Gerry Mayhew	Chicago Wolves (CAR)	C/RW	2	0	0	0	0	0	1	0	2	3	3	0%	0	25	12.60	0	0	0	0	0	0	34.78%	23	0	0	0
13	Tyce Thompson	Chicago Wolves (CAR)	RW	2	0	0	0	0	0	2	1	2	0	2	0%	0	18	9.10	0	0	0	2	0	0	50.00%	4	0	0	0
14	Trevor Carrick	Chicago Wolves (CAR)	D	2	0	0	0	0	0	1	0	0	0	0	0%	2	39	19.58	0	2	0	5	0	0	0%	0	0	0	0
15	Graeme Clarke	Chicago Wolves (CAR)	RW	2	0	0	0	0	0	3	2	2	0	3	0%	0	17	8.64	0	1	0	0	0	0	44.44%	18	0	0	0
16	Ryan Merkley	Chicago Wolves (CAR)	D	2	0	0	0	-1	4	2	0	1	0	0	0%	0	35	17.77	0	0	0	3	0	0	0%	0	0	0	0
17	Tyson Foerster	Chicago Wolves (CAR)	RW	2	0	0	0	0	0	0	2	5	2	2	0%	0	30	15.47	0	2	0	0	0	0	33.33%	3	0	0	0
18	Connor Carrick	Chicago Wolves (CAR)	D	2	0	0	0	1	4	2	2	0	1	0	0%	1	40	20.43	0	0	0	1	0	0	0%	0	0	0	0
Team Total or Average				36	5	9	14	0	14	40	29	47	15	43	10.64%	9	584	16.22	2	19	1	55	1	1	51.45%	138	0.48	1	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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Cory Schneider	Chicago Wolves (CAR)	2	1	1	0	0.881	2.50	120	2	0	5	42	0	0	0	0	0	2	0	0	0	0
Team Total or Average			2	1	1	0	0.881	2.50	120	2	0	5	42	0	0	0		0	2	0	0	0	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	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	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
Austin Poganski	Chicago Wolves (CAR)	RW	27	07.07.1996	No	201 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	800,000$	785,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Brandon Duhaime	Chicago Wolves (CAR)	LW/RW	26	07.07.1997	No	200 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	900,000$	883,125$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Brent Pedersen	Chicago Wolves (CAR)	LW	28	07.07.1995	No	214 Lbs	6 ft3	No	No	N/A	No	No	10	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No
Callum Booth	Chicago Wolves (CAR)	G	26	07.07.1997	No	194 Lbs	6 ft4	No	No	N/A	No	No	7	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	-	No	No	No	No	No	No	-	-	-	NHL Link
Connor Carrick	Chicago Wolves (CAR)	D	29	07.07.1994	No	198 Lbs	5 ft10	No	No	N/A	No	No	1	Pro & Farm	800,000$	785,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Cory Schneider	Chicago Wolves (CAR)	G	37	07.07.1986	No	201 Lbs	6 ft3	No	No	N/A	No	No	1	Pro & Farm	1,200,000$	1,177,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Dylan Garand	Chicago Wolves (CAR)	G	21	07.07.2002	No	172 Lbs	6 ft0	No	No	N/A	No	No	8	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	No	No	No	No	No	No	No	-	-
Dylan Sadowy	Chicago Wolves (CAR)	LW/RW	27	07.07.1996	No	205 Lbs	6 ft1	No	No	N/A	No	No	6	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	-	-	No	No	No	No	No	-	-	-	-
Erik Portillo	Chicago Wolves (CAR)	G	23	07.07.2000 13:46:04	Yes	224 Lbs	6 ft6	No	No	N/A	No	No	7	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	-	No	No	No	No	No	No	-	-	-
Filip Engaras	Chicago Wolves (CAR)	C	24	07.07.1999	No	201 Lbs	6 ft1	No	No	N/A	No	No	9	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	No	No	No	No	No	No	No	No	-
Gage Alexander	Chicago Wolves (CAR)	G	21	07.07.2002	No	205 Lbs	6 ft6	No	No	N/A	No	No	9	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	No	No	No	No	No	No	No	No	-
Gerry Mayhew	Chicago Wolves (CAR)	C/RW	30	07.07.1993	No	161 Lbs	5 ft9	No	No	N/A	No	No	1	Pro & Farm	1,000,000$	981,250$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Graeme Clarke	Chicago Wolves (CAR)	RW	22	07.07.2001	No	174 Lbs	6 ft0	No	No	N/A	No	No	9	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	No	No	No	No	No	No	No	No	-	NHL Link
Jack Dugan	Chicago Wolves (CAR)	LW	25	07.07.1998	No	209 Lbs	6 ft2	No	No	N/A	No	No	9	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	No	No	No	No	No	No	No	No	-	NHL Link
Jesper Boqvist	Chicago Wolves (CAR)	C/LW	24	07.07.1999	No	180 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	1,100,000$	1,079,375$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Josh Wesley	Chicago Wolves (CAR)	D	27	07.07.1996	No	195 Lbs	6 ft3	No	No	N/A	No	No	10	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No	NHL Link
Leo Loof	Chicago Wolves (CAR)	D	21	07.07.2002 18:23:57	No	187 Lbs	6 ft1	No	No	N/A	No	No	10	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No
Maksymilian Szuber	Chicago Wolves (CAR)	D	21	07.07.2002 18:24:48	No	190 Lbs	6 ft3	No	No	N/A	No	No	10	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No
Marian Studenic	Chicago Wolves (CAR)	LW/RW	24	07.07.1999	No	190 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	700,000$	686,875$	0$	0$	No	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Nathan Walker	Chicago Wolves (CAR)	LW	29	07.07.1994	No	187 Lbs	5 ft9	No	No	N/A	No	No	1	Pro & Farm	1,000,000$	981,250$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Nicolas Meloche	Chicago Wolves (CAR)	D	26	07.07.1997	No	212 Lbs	6 ft3	No	No	N/A	No	No	2	Pro & Farm	500,000$	490,625$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Phillip Di Giuseppe	Chicago Wolves (CAR)	LW/RW	29	07.07.1994	No	193 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	800,000$	785,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Riley Stillman	Chicago Wolves (CAR)	D	25	07.07.1998	No	196 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	500,000$	490,625$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Ryan Lohin	Chicago Wolves (CAR)	C	27	07.07.1996	No	192 Lbs	6 ft0	No	No	N/A	No	No	10	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No	NHL Link
Ryan Merkley	Chicago Wolves (CAR)	D	23	07.07.2000	No	185 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	800,000$	785,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Sam Carrick	Chicago Wolves (CAR)	C	31	07.07.1992	No	200 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	1,200,000$	1,177,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Sebastian Cossa	Chicago Wolves (CAR)	G	20	07.07.2003	No	209 Lbs	6 ft6	No	No	N/A	No	No	9	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	No	No	No	No	No	No	No	No	-
Simon Holmstrom	Chicago Wolves (CAR)	LW/RW	22	07.07.2001	Yes	205 Lbs	6 ft2	No	No	N/A	No	No	2	Pro & Farm	900,000$	883,125$	0$	0$	No	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Trevor Carrick	Chicago Wolves (CAR)	D	29	07.07.1994	No	172 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	700,000$	686,875$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Tyce Thompson	Chicago Wolves (CAR)	RW	24	07.07.1999	Yes	175 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	700,000$	686,875$	0$	0$	No	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Tyler Bird	Chicago Wolves (CAR)	RW	27	07.07.1996	No	192 Lbs	6 ft1	No	No	N/A	No	No	7	Farm Only	100,000$	98,125$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	-	No	No	No	No	No	No	-	-	-
Tyson Foerster	Chicago Wolves (CAR)	RW	21	07.07.2002	Yes	194 Lbs	6 ft2	No	No	N/A	No	No	3	Pro & Farm	1,000,000$	981,250$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
32	25.50	194 Lbs	6 ft2	4.81	503,125$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Phillip Di Giuseppe	Jesper Boqvist	Brandon Duhaime	40	1	2	2
2	Nathan Walker	Sam Carrick	Tyson Foerster	33	1	2	2
3	Simon Holmstrom	Gerry Mayhew	Marian Studenic	22	1	2	2
4	Austin Poganski	Graeme Clarke	Tyce Thompson	5	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Riley Stillman	Connor Carrick	40	1	2	2
2	Nicolas Meloche	Trevor Carrick	33	1	2	2
3	Ryan Merkley	Josh Wesley	22	1	2	2
4	Riley Stillman	Connor Carrick	5	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Phillip Di Giuseppe	Jesper Boqvist	Brandon Duhaime	60	1	2	2
2	Nathan Walker	Sam Carrick	Tyson Foerster	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Riley Stillman	Graeme Clarke	60	1	2	2
2	Simon Holmstrom	Trevor Carrick	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sam Carrick	Nathan Walker	60	1	2	2
2	Jesper Boqvist	Brandon Duhaime	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Riley Stillman	Nicolas Meloche	60	1	2	2
2	Ryan Merkley	Trevor Carrick	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nathan Walker	60	1	2	2	Riley Stillman	Connor Carrick	60	1	2	2
2	Brandon Duhaime	40	1	2	2	Ryan Merkley	Trevor Carrick	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Gerry Mayhew	Simon Holmstrom	60	1	2	2
2	Marian Studenic	Tyce Thompson	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ryan Merkley	Josh Wesley	60	1	2	2
2	Nicolas Meloche	Trevor Carrick	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Phillip Di Giuseppe	Jesper Boqvist	Brandon Duhaime	Riley Stillman	Nicolas Meloche

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Phillip Di Giuseppe	Sam Carrick	Brandon Duhaime	Riley Stillman	Nicolas Meloche

Extra Forwards
Normal	PowerPlay	Penalty Kill
Austin Poganski, Simon Holmstrom, Tyce Thompson	Austin Poganski, Simon Holmstrom	Tyce Thompson

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ryan Merkley, Josh Wesley, Nicolas Meloche	Ryan Merkley	Josh Wesley, Nicolas Meloche

Penalty Shots
Tyson Foerster, Gerry Mayhew, Phillip Di Giuseppe, Jesper Boqvist, Simon Holmstrom

Goalie
#1 : Cory Schneider, #2 : Gage Alexander

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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	Belleville Senators	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	1	0	4	0	23	14	19	14	0	20	7	8	15	0	0	0%	4	0	100.00%	0	28	57	49.12%	27	48	56.25%	16	33	48.48%	48	33	44	15	26	12
2	San Diego Gulls	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	1	0	4	0	24	14	19	14	0	22	2	8	25	2	0	0.00%	4	0	100.00%	0	28	57	49.12%	27	48	56.25%	16	33	48.48%	48	33	44	15	26	12
	Total	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	0	2	-2	1	1	0	0	0	0	0	0	5	3	2	2	0.500	5	9	14	0	0	1	0	4	0	47	14	19	14	0	42	9	16	40	2	0	0.00%	8	0	100.00%	0	28	57	49.12%	27	48	56.25%	16	33	48.48%	48	33	44	15	26	12
	_Since Last GM Reset	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	0	2	-2	1	1	0	0	0	0	0	0	5	3	2	2	0.500	5	9	14	0	0	1	0	4	0	47	14	19	14	0	42	9	16	40	2	0	0.00%	8	0	100.00%	0	28	57	49.12%	27	48	56.25%	16	33	48.48%	48	33	44	15	26	12
	_Vs Conference	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	1	0	4	0	23	14	19	14	0	20	7	8	15	0	0	0%	4	0	100.00%	0	28	57	49.12%	27	48	56.25%	16	33	48.48%	48	33	44	15	26	12
	_Vs Division	1	0	0	0	0	0	0	0	0	2	-2	1	0	0	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	1	0	4	0	23	14	19	14	0	20	7	8	15	0	0	0%	4	0	100.00%	0	28	57	49.12%	27	48	56.25%	16	33	48.48%	48	33	44	15	26	12

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
2	2	W1	5	9	14	47	42	9	16	40	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	5	5

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	0	2

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	5	3

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	1	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
2	0	0.00%	8	0	100.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
14	19	14	0	1	0	4	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
28	57	49.12%	27	48	56.25%	16	33	48.48%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
48	33	44	15	26	12

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	Link
1	2	Belleville Senators	2	Chicago Wolves	0	BL	BoxScore
3	23	Chicago Wolves	5	San Diego Gulls	3	AW	BoxScore
4	33	Chicago Wolves	-	Ontario Reign	-
6	49	Chicago Wolves	-	San Jose Barracuda	-
8	62	Chicago Wolves	-	Coachella Valley Firebirds	-
10	78	Chicago Wolves	-	Colorado Eagles	-
12	90	Chicago Wolves	-	Syracuse Crunch	-
13	101	Coachella Valley Firebirds	-	Chicago Wolves	-
15	117	San Jose Barracuda	-	Chicago Wolves	-
17	131	Chicago Wolves	-	Lehigh Valley Phantoms	-
19	145	Chicago Wolves	-	Hartford Wolf Pack	-
21	161	Chicago Wolves	-	Bridgeport Islanders	-
23	180	Rochester Americans	-	Chicago Wolves	-
26	206	Chicago Wolves	-	Charlotte Checkers	-
27	214	Chicago Wolves	-	Syracuse Crunch	-
30	235	Lehigh Valley Phantoms	-	Chicago Wolves	-
31	242	Chicago Wolves	-	Hershey Bears	-
33	258	W-B/Scranton Penguins	-	Chicago Wolves	-
36	283	Bakersfield Condors	-	Chicago Wolves	-
38	303	Syracuse Crunch	-	Chicago Wolves	-
39	307	Cleveland Monsters	-	Chicago Wolves	-
41	324	Chicago Wolves	-	Lehigh Valley Phantoms	-
43	340	Bridgeport Islanders	-	Chicago Wolves	-
44	349	Rochester Americans	-	Chicago Wolves	-
46	367	Chicago Wolves	-	Manitoba Moose	-
48	387	Chicago Wolves	-	Bakersfield Condors	-
49	395	Chicago Wolves	-	Calgary Wranglers	-
51	413	Chicago Wolves	-	Abbotsford Canucks	-
53	423	Chicago Wolves	-	Belleville Senators	-
55	441	Chicago Wolves	-	Grand Rapids Griffins	-
57	457	Hershey Bears	-	Chicago Wolves	-
58	464	Milwaukee Admirals	-	Chicago Wolves	-
61	489	Henderson Silver Knights	-	Chicago Wolves	-
63	506	Chicago Wolves	-	W-B/Scranton Penguins	-
64	514	Bridgeport Islanders	-	Chicago Wolves	-
66	531	Laval Rocket	-	Chicago Wolves	-
69	557	Chicago Wolves	-	Milwaukee Admirals	-
70	564	Chicago Wolves	-	Toronto Marlies	-
72	580	Springfield Thunderbirds	-	Chicago Wolves	-
74	598	Chicago Wolves	-	Hartford Wolf Pack	-
80	645	San Diego Gulls	-	Chicago Wolves	-
81	651	W-B/Scranton Penguins	-	Chicago Wolves	-
83	669	Ontario Reign	-	Chicago Wolves	-
86	694	Grand Rapids Griffins	-	Chicago Wolves	-
88	709	Iowa Wild	-	Chicago Wolves	-
90	723	Chicago Wolves	-	Providence Bruins	-
91	734	Utica Comets	-	Chicago Wolves	-
94	761	Tucson Roadrunners	-	Chicago Wolves	-
95	768	Abbotsford Canucks	-	Chicago Wolves	-
98	794	Utica Comets	-	Chicago Wolves	-
100	810	Colorado Eagles	-	Chicago Wolves	-
102	830	Chicago Wolves	-	Texas Stars	-
104	847	Chicago Wolves	-	Tucson Roadrunners	-
105	858	Chicago Wolves	-	Henderson Silver Knights	-
107	869	Rockford IceHogs	-	Chicago Wolves	-
109	885	Texas Stars	-	Chicago Wolves	-
110	895	Chicago Wolves	-	Rochester Americans	-
112	910	Charlotte Checkers	-	Chicago Wolves	-
114	929	Chicago Wolves	-	Iowa Wild	-
116	945	Chicago Wolves	-	Cleveland Monsters	-
117	953	Manitoba Moose	-	Chicago Wolves	-
119	972	Calgary Wranglers	-	Chicago Wolves	-
Trade Deadline --- Trades can’t be done after this day is simulated!
122	993	Chicago Wolves	-	Utica Comets	-
123	1002	Laval Rocket	-	Chicago Wolves	-
126	1026	Hartford Wolf Pack	-	Chicago Wolves	-
128	1043	Charlotte Checkers	-	Chicago Wolves	-
130	1060	Chicago Wolves	-	Toronto Marlies	-
131	1067	Chicago Wolves	-	Belleville Senators	-
133	1086	Lehigh Valley Phantoms	-	Chicago Wolves	-
135	1101	Chicago Wolves	-	Bridgeport Islanders	-
136	1105	Chicago Wolves	-	Hershey Bears	-
139	1130	Chicago Wolves	-	W-B/Scranton Penguins	-
140	1139	Toronto Marlies	-	Chicago Wolves	-
144	1172	Chicago Wolves	-	Laval Rocket	-
146	1188	Grand Rapids Griffins	-	Chicago Wolves	-
148	1204	Providence Bruins	-	Chicago Wolves	-
149	1213	Hershey Bears	-	Chicago Wolves	-
151	1231	Cleveland Monsters	-	Chicago Wolves	-
153	1243	Chicago Wolves	-	Providence Bruins	-
155	1266	Chicago Wolves	-	Springfield Thunderbirds	-
157	1282	Chicago Wolves	-	Rockford IceHogs	-
159	1295	Chicago Wolves	-	Cleveland Monsters	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
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
40	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
30,186$	1,610,000$	1,610,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
10,062$	30,186$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	157	10,062$	1,579,734$

Chicago Wolves 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

Chicago Wolves 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

Chicago Wolves 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

Chicago Wolves 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

Chicago Wolves 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

	Chicago Wolves
	GP: 2 \| W: 1 \| L: 1 \| OTL: 0 \| P: 2 GF: 5 \| GA: 5 \| PP%: 0.00% \| PK%: 100.00% GM : Petr Glotzmann \| Morale : 50 \| Team Overall : 55 Next Games #33 vs Ontario Reign