Carolina Hurricanes
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Chicago Wolves 0-4-0, 0pts	2	FINAL	4	Rockford IceHogs 2-2-0, 4pts

Team Stats
L4	Streak	W1
0-3-0	Home Record	1-1-0
0-1-0	Home Record	1-1-0
0-4-0	Last 10 Games	2-2-0
1.25	Goals Per Game	2.75
3.50	Goals Against Per Game	2.50
12.50%	Power Play Percentage	37.50%
14.29%	Penalty Kill Percentage	45.45%

Henderson Silver Knights
4-1-0, 8pts

FINAL

Chicago Wolves
0-4-0, 0pts

Team Stats
W1	Streak	L4
1-1-0	Home Record	0-3-0
3-0-0	Home Record	0-1-0
4-1-0	Last 10 Games	0-4-0
3.80	Goals Per Game	1.25
1.80	Goals Against Per Game	3.50
46.67%	Power Play Percentage	12.50%
66.67%	Penalty Kill Percentage	14.29%

Iowa Wild
2-1-2, 6pts

Day 12

Chicago Wolves
0-4-0, 0pts

Team Stats
L1	Streak	L4
0-1-1	Home Record	0-3-0
2-0-1	Away Record	0-1-0
2-1-2	Last 10 Games	0-4-0
2.60	Goals Per Game	1.25
2.80	Goals Against Per Game	1.25
30.77%	Power Play Percentage	12.50%
77.78%	Penalty Kill Percentage	14.29%

Chicago Wolves
0-4-0, 0pts

Day 15

Rochester Americans
2-2-1, 5pts

Team Stats
L4	Streak	W1
0-3-0	Home Record	1-1-1
0-1-0	Away Record	1-1-0
0-4-0	Last 10 Games	2-2-1
1.25	Goals Per Game	2.20
3.50	Goals Against Per Game	2.20
12.50%	Power Play Percentage	35.71%
14.29%	Penalty Kill Percentage	56.25%

Texas Stars
1-0-3, 5pts

Day 17

Chicago Wolves
0-4-0, 0pts

Team Stats
OTL2	Streak	L4
0-0-3	Home Record	0-3-0
1-0-0	Away Record	0-1-0
1-0-3	Last 10 Games	0-4-0
2.00	Goals Per Game	1.25
2.25	Goals Against Per Game	1.25
40.00%	Power Play Percentage	12.50%
83.33%	Penalty Kill Percentage	14.29%

Team Leaders
	Goals Jamieson Rees 2	Assists Jack Drury 2

	Points Jack Drury 2	Plus/Minus Vasili Ponomaryov 0

	Wins Felix Sandstrom 0	Save Percentage Felix Sandstrom 0.873

Team Stats
Goals For 5 1.25 GFG	Shots For 74 18.50 Avg	Power Play Percentage 12.5% 1 GF	Offensive Zone Start 35.6%
Goals Against 14 3.50 GAA	Shots Against 103 25.75 Avg	Penalty Kill Percentage 14.3%% 6 GA	Defensive Zone Start 35.6%

Team Info
	General Manager	Erik Beheim
	Coach	Rod Brind'Amour
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,449
	Season Tickets	300
Roster Info
	Pro Team	26
	Farm Team	19
	Contract Limit	45 / 60
	Prospects	26

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	Lukas Sedlak	0	X	X	X		100.00	84	45	87	66	74	62	59	68	68	73	59	77	25	62	63	66	47	65	0	29	1	750,000$
2	Vasili Ponomaryov (R)	0	X				100.00	71	65	85	73	65	71	73	64	80	59	65	63	62	44	44	66	52	60	0	20	2	815,000$
3	Ryan Suzuki (R)	0	X				100.00	74	67	89	77	67	60	60	62	78	58	63	64	60	44	44	65	47	60	0	21	2	863,333$
4	Jack Drury (R)	0	X				100.00	61	40	88	71	63	57	90	68	64	63	57	62	25	47	47	63	47	58	0	22	2	925,000$
5	Noel Gunler (R)	0			X		100.00	73	67	88	68	67	50	47	62	50	57	62	63	59	44	44	63	47	58	0	21	3	862,500$
6	Jamieson Rees (R)	0	X				100.00	64	65	62	64	65	75	79	62	78	61	59	59	56	44	44	62	49	58	0	21	2	839,167$
7	Jordy Bellerive	0	X				100.00	71	69	74	63	69	60	62	53	66	49	53	60	50	44	44	57	47	55	0	23	1	800,000$
8	Tuukka Tieksola (R)	0			X		100.00	68	59	88	66	59	58	59	58	50	56	56	60	53	44	44	60	47	55	0	21	2	823,333$
9	Stelio Mattheos	0	X		X		100.00	71	71	71	64	71	57	59	50	63	49	47	59	45	44	44	54	47	54	0	23	1	775,000$
10	Anthony Vincent (R)	0	X	X	X		100.00	73	70	81	65	70	47	47	48	60	47	44	60	42	44	44	52	47	53	0	25	1	750,000$
11	Alexander Pashin (R)	0	X	X	X		100.00	65	54	90	66	54	58	61	49	61	46	47	56	45	44	44	53	47	51	0	20	3	826,667$
12	Ville Koivunen (R)	0			X		100.00	69	60	89	65	60	52	55	45	50	38	46	57	44	44	44	51	47	51	0	19	4	828,333$
13	Jalen Chatfield	0				X	100.00	75	53	86	68	70	64	86	55	25	49	49	74	25	60	60	61	51	61	0	26	2	762,500$
14	Maxime Lajoie	0				X	100.00	72	72	73	63	72	76	81	59	25	52	51	64	48	52	53	60	47	60	0	25	1	750,000$
15	Adam Clendening	0				X	100.00	71	70	72	63	70	57	58	54	25	50	41	63	39	55	56	54	46	57	0	30	1	750,000$
16	Cavan Fitzgerald	0				X	100.00	75	72	82	65	72	58	61	51	25	44	41	64	39	54	54	53	47	57	0	26	1	750,000$
17	Anttoni Honka (R)	0				X	100.00	71	63	89	66	63	73	79	53	25	49	42	60	40	44	44	56	43	56	0	22	3	836,667$
18	Andrew Nielsen	0				X	100.00	82	83	80	62	83	37	37	42	25	28	39	65	37	55	55	49	47	55	0	26	1	750,000$
Scratches
1	Peter Abbandonato	0	X				100.00	77	69	94	65	69	63	64	62	78	63	56	65	53	44	44	63	46	59	0	24	1	775,000$
2	Zach Senyshyn	0			X		100.00	78	75	86	63	75	75	81	53	50	47	54	64	51	45	45	59	46	58	0	25	1	775,000$
3	Pontus Andreasson (R)	0	X	X			100.00	71	65	85	66	65	70	74	56	70	50	58	61	55	44	44	61	46	57	0	24	1	850,000$
4	Josh Maniscalco (R)	0				X	100.00	80	76	88	63	76	59	63	45	25	34	41	62	39	44	44	52	46	56	0	23	1	860,000$
5	Mitchell Vande Sompel (R)	0				X	100.00	72	70	77	62	70	54	55	52	25	46	43	60	41	44	44	54	46	55	0	25	1	775,000$

	TEAM AVERAGE						100.00	73	65	83	66	68	61	65	55	51	51	51	63	45	47	48	58	47	57

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	Felix Sandstrom (R)	0	100.00	60	64	61	76	65	54	69	61	64	60	75	46	46	62	46	60	0	25	2	775,000$
2	Jack LaFontaine (R)	0	100.00	66	60	62	92	56	60	62	61	55	58	54	44	44	55	48	60	0	24	1	750,000$
Scratches
1	Eetu Makiniemi (R)	0	100.00	49	44	55	68	50	53	50	54	54	53	30	44	44	51	48	51	0	23	1	867,500$

	TEAM AVERAGE		100.00	58	56	59	79	57	56	60	59	58	57	53	45	45	56	47	57

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Rod Brind'Amour	60	60	60	60	99	60	50	CAN	54	1	500,000$

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	PKM	FO%	FOT	GA	TA	P/20	FW	FL	FT
1	Jack Drury	Chicago Wolves (CAR)	C	4	0	2	2	-2	0	0	2	5	9	2	3	0%	3	84	21.22	0	0	0	0	8	3	50.94%	53	3	2	0.47	0	0	0
2	Vasili Ponomaryov	Chicago Wolves (CAR)	C	4	1	1	2	0	10	10	2	6	9	6	4	11.11%	0	84	21.13	0	0	0	0	7	1	70.97%	62	4	1	0.47	1	0	1
3	Jalen Chatfield	Chicago Wolves (CAR)	D	4	0	2	2	0	5	5	6	7	6	3	2	0%	6	96	24.21	0	1	1	0	8	1	0%	0	0	2	0.41	1	0	0
4	Jordy Bellerive	Chicago Wolves (CAR)	C	4	1	1	2	-2	2	0	5	5	3	0	1	33.33%	2	70	17.63	0	0	0	0	1	0	75.00%	4	0	2	0.57	0	0	0
5	Jamieson Rees	Chicago Wolves (CAR)	C	4	2	0	2	-1	9	5	5	4	5	0	0	40.00%	2	79	19.97	1	0	1	2	7	0	80.00%	5	0	0	0.50	0	0	1
6	Lukas Sedlak	Chicago Wolves (CAR)	C/LW/RW	4	0	1	1	-1	0	0	8	5	7	3	2	0%	0	86	21.53	0	0	0	0	8	2	44.44%	9	4	1	0.23	0	0	0
7	Noel Gunler	Chicago Wolves (CAR)	RW	4	1	0	1	-2	0	0	2	6	12	2	1	8.33%	2	73	18.28	0	0	0	0	6	0	0%	0	0	1	0.27	0	0	0
8	Maxime Lajoie	Chicago Wolves (CAR)	D	4	0	1	1	-1	4	0	4	1	7	3	1	0%	5	97	24.31	0	0	0	0	7	0	0%	0	1	0	0.21	0	0	0
9	Adam Clendening	Chicago Wolves (CAR)	D	4	0	0	0	-3	2	0	3	2	1	0	1	0%	2	71	17.83	0	0	0	0	1	2	0%	0	0	2	0	0	0	0
10	Andrew Nielsen	Chicago Wolves (CAR)	D	4	0	0	0	-1	0	0	1	7	1	0	1	0%	3	64	16.09	0	0	0	0	0	2	0%	0	0	3	0	0	0	0
11	Anttoni Honka	Chicago Wolves (CAR)	D	4	0	0	0	-3	5	5	0	5	0	0	0	0%	3	75	18.83	0	0	0	0	7	0	0%	0	0	3	0	0	1	0
12	Cavan Fitzgerald	Chicago Wolves (CAR)	D	4	0	0	0	0	0	0	0	7	3	1	0	0%	4	73	18.40	0	0	0	0	8	2	0%	0	1	2	0	0	0	0
13	Ryan Suzuki	Chicago Wolves (CAR)	C	4	0	0	0	-2	0	0	7	6	5	1	2	0%	3	76	19.01	0	0	0	0	8	2	81.82%	11	1	1	0	0	0	0
14	Tuukka Tieksola	Chicago Wolves (CAR)	RW	4	0	0	0	-1	0	0	2	2	3	2	1	0%	0	63	15.93	0	0	0	0	1	0	100.00%	1	1	0	0	0	0	0
15	Alexander Pashin	Chicago Wolves (CAR)	C/LW/RW	4	0	0	0	0	0	0	0	0	0	0	0	0%	2	26	6.51	0	0	0	0	1	0	0%	0	0	0	0	0	0	0
16	Stelio Mattheos	Chicago Wolves (CAR)	C/RW	4	0	0	0	-1	2	0	8	5	3	2	1	0%	1	60	15.21	0	0	0	0	0	0	100.00%	1	1	0	0	0	0	0
17	Anthony Vincent	Chicago Wolves (CAR)	C/LW/RW	4	0	0	0	0	0	0	1	1	0	0	0	0%	0	9	2.29	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
18	Ville Koivunen	Chicago Wolves (CAR)	RW	4	0	0	0	0	0	0	0	0	0	0	0	0%	0	1	0.30	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
Team Total or Average				72	5	8	13	-20	39	25	56	74	74	25	20	6.76%	38	1194	16.59	1	1	2	2	86	20	63.70%	146	16	20	0.22	2	1	2

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	Felix Sandstrom	Chicago Wolves (CAR)	4	0	4	0	0.873	3.26	239	0	0	13	102	64	0	1	0	0	4	0	0	0	0
Team Total or Average			4	0	4	0	0.873	3.26	239	0	0	13	102	64	0	1		0	4	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 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
Adam Clendening	Chicago Wolves (CAR)	D	30	1992-12-31	No	194 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Alexander Pashin	Chicago Wolves (CAR)	C/LW/RW	20	2002-12-31	Yes	154 Lbs	5 ft8	No	No	N/A	No	No	3	Pro & Farm	826,667$	0$	0$	No	826,667$	826,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Andrew Nielsen	Chicago Wolves (CAR)	D	26	1996-12-31	No	224 Lbs	6 ft4	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Anthony Vincent	Chicago Wolves (CAR)	C/LW/RW	25	1997-12-31	Yes	190 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Anttoni Honka	Chicago Wolves (CAR)	D	22	2000-12-31	Yes	178 Lbs	5 ft10	No	No	N/A	No	No	3	Pro & Farm	836,667$	0$	0$	No	836,667$	836,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Cavan Fitzgerald	Chicago Wolves (CAR)	D	26	1996-12-31	No	196 Lbs	6 ft1	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Eetu Makiniemi	Chicago Wolves (CAR)	G	23	1999-12-31	Yes	176 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	867,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Felix Sandstrom	Chicago Wolves (CAR)	G	25	1997-12-31 13:44:19	Yes	192 Lbs	6 ft2	No	No	N/A	No	No	2	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Drury	Chicago Wolves (CAR)	C	22	2000-12-31	Yes	174 Lbs	5 ft11	No	No	N/A	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jack LaFontaine	Chicago Wolves (CAR)	G	24	1998-12-31 18:09:10	Yes	209 Lbs	6 ft3	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jalen Chatfield	Chicago Wolves (CAR)	D	26	1996-12-31	No	188 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	762,500$	0$	0$	No	762,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jamieson Rees	Chicago Wolves (CAR)	C	21	2001-12-31	Yes	182 Lbs	5 ft10	No	No	N/A	No	No	2	Pro & Farm	839,167$	0$	0$	No	839,167$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jordy Bellerive	Chicago Wolves (CAR)	C	23	1999-12-31	No	195 Lbs	5 ft10	No	No	N/A	No	No	1	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Josh Maniscalco	Chicago Wolves (CAR)	D	23	1999-12-31	Yes	205 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	860,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Lukas Sedlak	Chicago Wolves (CAR)	C/LW/RW	29	1993-12-31	No	205 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Maxime Lajoie	Chicago Wolves (CAR)	D	25	1997-12-31	No	196 Lbs	6 ft1	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mitchell Vande Sompel	Chicago Wolves (CAR)	D	25	1997-12-31	Yes	198 Lbs	5 ft11	No	No	N/A	No	No	1	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Noel Gunler	Chicago Wolves (CAR)	RW	21	2001-12-31	Yes	176 Lbs	6 ft2	No	No	N/A	No	No	3	Pro & Farm	862,500$	0$	0$	No	862,500$	862,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Peter Abbandonato	Chicago Wolves (CAR)	C	24	1998-12-31	No	194 Lbs	5 ft11	No	No	N/A	No	No	1	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Pontus Andreasson	Chicago Wolves (CAR)	C/LW	24	1998-12-31	Yes	182 Lbs	5 ft10	No	No	N/A	No	No	1	Pro & Farm	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ryan Suzuki	Chicago Wolves (CAR)	C	21	2001-12-31	Yes	180 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	863,333$	0$	0$	No	863,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Stelio Mattheos	Chicago Wolves (CAR)	C/RW	23	1999-12-31	No	194 Lbs	6 ft1	No	No	N/A	No	No	1	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tuukka Tieksola	Chicago Wolves (CAR)	RW	21	2001-12-31	Yes	160 Lbs	5 ft10	No	No	N/A	No	No	2	Pro & Farm	823,333$	0$	0$	No	823,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Vasili Ponomaryov	Chicago Wolves (CAR)	C	20	2002-12-31	Yes	181 Lbs	5 ft10	No	No	N/A	No	No	2	Pro & Farm	815,000$	0$	0$	No	815,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Ville Koivunen	Chicago Wolves (CAR)	RW	19	2003-12-31	Yes	161 Lbs	5 ft11	No	No	N/A	No	No	4	Pro & Farm	828,333$	0$	0$	No	828,333$	828,333$	828,333$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Zach Senyshyn	Chicago Wolves (CAR)	RW	25	1997-12-31	No	205 Lbs	6 ft1	No	No	N/A	No	No	1	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	23.58	188 Lbs	6 ft0	1.62	803,269$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Lukas Sedlak	Vasili Ponomaryov	Jamieson Rees	37	1	1	3
2	Noel Gunler	Jack Drury	Jordy Bellerive	30	1	1	3
3	Tuukka Tieksola	Ryan Suzuki	Stelio Mattheos	23	1	2	2
4	Ryan Suzuki	Vasili Ponomaryov	Jack Drury	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jalen Chatfield	Maxime Lajoie	45	1	2	2
2	Adam Clendening	Anttoni Honka	33	1	2	2
3	Cavan Fitzgerald	Andrew Nielsen	22	1	2	2
4	Cavan Fitzgerald	Jalen Chatfield	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ryan Suzuki	Jack Drury	Lukas Sedlak	60	1	2	2
2	Noel Gunler	Vasili Ponomaryov	Jamieson Rees	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jalen Chatfield	Cavan Fitzgerald	50	1	2	2
2	Maxime Lajoie	Anttoni Honka	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jack Drury	Ryan Suzuki	50	1	2	2
2	Vasili Ponomaryov	Lukas Sedlak	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cavan Fitzgerald	Jalen Chatfield	50	1	2	2
2	Adam Clendening	Andrew Nielsen	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jack Drury	50	1	2	2	Maxime Lajoie	Cavan Fitzgerald	50	1	2	2
2	Vasili Ponomaryov	50	1	2	2	Jalen Chatfield	Anttoni Honka	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jack Drury	Lukas Sedlak	50	1	2	2
2	Vasili Ponomaryov	Ryan Suzuki	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jalen Chatfield	Maxime Lajoie	50	1	2	2
2	Cavan Fitzgerald	Adam Clendening	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Lukas Sedlak	Jack Drury	Ryan Suzuki	Jalen Chatfield	Maxime Lajoie

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Lukas Sedlak	Jack Drury	Ryan Suzuki	Jalen Chatfield	Maxime Lajoie

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jack Drury, Vasili Ponomaryov, Ryan Suzuki	Jack Drury, Vasili Ponomaryov	Jack Drury

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jalen Chatfield, Cavan Fitzgerald, Maxime Lajoie	Cavan Fitzgerald	Andrew Nielsen, Cavan Fitzgerald

Penalty Shots
Vasili Ponomaryov, Ryan Suzuki, Jack Drury, Tuukka Tieksola, Jordy Bellerive

Goalie
#1 : Felix Sandstrom, #2 : Jack LaFontaine

Custom OT Lines Forwards
Ryan Suzuki, Tuukka Tieksola, Jordy Bellerive, Stelio Mattheos, Vasili Ponomaryov, Jack Drury, Jack Drury, Lukas Sedlak, Noel Gunler, Jamieson Rees, Anthony Vincent

Custom OT Lines Defensemen
Jalen Chatfield, Maxime Lajoie, Andrew Nielsen, Cavan Fitzgerald, Adam Clendening

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	Grand Rapids Griffins	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	1	0	1	2	2	0	16	16	21	37	0	16	6	2	15	3	0	0.00%	1	1	0.00%	0	36	52	69.23%	35	52	67.31%	22	42	52.38%	70	29	78	41	91	47
2	Henderson Silver Knights	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	2	2	0	26	16	21	37	0	35	15	4	11	1	0	0.00%	2	2	0.00%	0	36	52	69.23%	35	52	67.31%	22	42	52.38%	70	29	78	41	91	47
3	Manitoba Moose	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	1	2	2	0	20	16	21	37	0	29	12	19	15	2	0	0.00%	2	1	50.00%	0	36	52	69.23%	35	52	67.31%	22	42	52.38%	70	29	78	41	91	47
4	Rockford IceHogs	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	2	4	0	0	1	2	2	0	12	16	21	37	0	23	5	14	15	2	1	50.00%	2	2	0.00%	0	36	52	69.23%	35	52	67.31%	22	42	52.38%	70	29	78	41	91	47
	Total	4	0	4	0	0	0	0	0	5	14	-9	3	0	3	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	8	13	1	0	1	2	2	0	74	16	21	37	0	103	38	39	56	8	1	12.50%	7	6	14.29%	0	36	52	69.23%	35	52	67.31%	22	42	52.38%	70	29	78	41	91	47
	_Since Last GM Reset	4	0	4	0	0	0	0	0	5	14	-9	3	0	3	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	8	13	1	0	1	2	2	0	74	16	21	37	0	103	38	39	56	8	1	12.50%	7	6	14.29%	0	36	52	69.23%	35	52	67.31%	22	42	52.38%	70	29	78	41	91	47
	_Vs Conference	4	0	4	0	0	0	0	0	5	14	-9	3	0	3	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	8	13	1	0	1	2	2	0	74	16	21	37	0	103	38	39	56	8	1	12.50%	7	6	14.29%	0	36	52	69.23%	35	52	67.31%	22	42	52.38%	70	29	78	41	91	47
	_Vs Division	1	0	3	0	0	0	0	0	2	4	-2	1	0	2	0	0	0	0	0	2	4	-2	0	0	1	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	2	2	0	26	16	21	37	0	35	15	4	11	1	0	0.00%	2	2	0.00%	0	36	52	69.23%	35	52	67.31%	22	42	52.38%	70	29	78	41	91	47

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	0	L4	5	8	13	74	103	38	39	56	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	5	14

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	3	10

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	2	4

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	4	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
8	1	12.50%	7	6	14.29%	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
16	21	37	0	1	2	2	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
36	52	69.23%	35	52	67.31%	22	42	52.38%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
70	29	78	41	91	47

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
2	11	Manitoba Moose	4	Chicago Wolves	1	BL	BoxScore
5	35	Grand Rapids Griffins	2	Chicago Wolves	0	BL	BoxScore
8	59	Chicago Wolves	2	Rockford IceHogs	4	AL	BoxScore
9	71	Henderson Silver Knights	4	Chicago Wolves	2	BL	BoxScore
12	97	Iowa Wild	-	Chicago Wolves	-
15	116	Chicago Wolves	-	Rochester Americans	-
17	129	Texas Stars	-	Chicago Wolves	-
18	134	Chicago Wolves	-	Coachella Valley Firebirds	-
19	148	Chicago Wolves	-	Milwaukee Admirals	-
21	160	Chicago Wolves	-	Springfield Thunderbirds	-
23	178	Syracuse Crunch	-	Chicago Wolves	-
26	198	Rockford IceHogs	-	Chicago Wolves	-
29	224	Chicago Wolves	-	Charlotte Checkers	-
30	230	Iowa Wild	-	Chicago Wolves	-
33	255	Chicago Wolves	-	Belleville Senators	-
34	262	Springfield Thunderbirds	-	Chicago Wolves	-
37	289	San Jose Barracuda	-	Chicago Wolves	-
39	304	Chicago Wolves	-	Bridgeport Islanders	-
41	321	Bridgeport Islanders	-	Chicago Wolves	-
43	337	Chicago Wolves	-	Cleveland Monsters	-
45	352	Calgary Wranglers	-	Chicago Wolves	-
47	368	Chicago Wolves	-	Rochester Americans	-
49	385	Utica Comets	-	Chicago Wolves	-
51	406	Chicago Wolves	-	Calgary Wranglers	-
52	417	Manitoba Moose	-	Chicago Wolves	-
55	438	Chicago Wolves	-	Colorado Eagles	-
56	448	Henderson Silver Knights	-	Chicago Wolves	-
59	468	Chicago Wolves	-	San Diego Gulls	-
60	481	Providence Bruins	-	Chicago Wolves	-
63	500	Chicago Wolves	-	Henderson Silver Knights	-
65	509	Chicago Wolves	-	Providence Bruins	-
66	520	Hartford Wolf Pack	-	Chicago Wolves	-
69	544	Rochester Americans	-	Chicago Wolves	-
71	562	Chicago Wolves	-	Lehigh Valley Phantoms	-
73	577	Cleveland Monsters	-	Chicago Wolves	-
75	589	Chicago Wolves	-	Toronto Marlies	-
77	603	Chicago Wolves	-	Milwaukee Admirals	-
78	616	Laval Rocket	-	Chicago Wolves	-
80	636	Chicago Wolves	-	Grand Rapids Griffins	-
82	646	Charlotte Checkers	-	Chicago Wolves	-
84	667	Chicago Wolves	-	Tucson Roadrunners	-
85	679	Grand Rapids Griffins	-	Chicago Wolves	-
87	697	Chicago Wolves	-	Springfield Thunderbirds	-
88	710	Toronto Marlies	-	Chicago Wolves	-
92	737	Chicago Wolves	-	Utica Comets	-
93	744	Ontario Reign	-	Chicago Wolves	-
95	770	Belleville Senators	-	Chicago Wolves	-
99	801	Wilkes-Barre Scranton Penguins	-	Chicago Wolves	-
101	814	Chicago Wolves	-	Rockford IceHogs	-
103	830	Chicago Wolves	-	Syracuse Crunch	-
104	839	Bakersfield Condors	-	Chicago Wolves	-
107	864	Chicago Wolves	-	Hartford Wolf Pack	-
108	869	Colorado Eagles	-	Chicago Wolves	-
110	892	Chicago Wolves	-	Iowa Wild	-
111	898	Abbotsford Canucks	-	Chicago Wolves	-
114	924	Chicago Wolves	-	Abbotsford Canucks	-
115	931	San Diego Gulls	-	Chicago Wolves	-
117	948	Chicago Wolves	-	Laval Rocket	-
119	963	Chicago Wolves	-	Ontario Reign	-
120	969	Lehigh Valley Phantoms	-	Chicago Wolves	-
Trade Deadline --- Trades can’t be done after this day is simulated!
122	992	Chicago Wolves	-	Coachella Valley Firebirds	-
123	1000	Milwaukee Admirals	-	Chicago Wolves	-
126	1026	Hershey Bears	-	Chicago Wolves	-
128	1036	Chicago Wolves	-	Bakersfield Condors	-
130	1059	Texas Stars	-	Chicago Wolves	-
133	1079	Chicago Wolves	-	Wilkes-Barre Scranton Penguins	-
134	1090	Tucson Roadrunners	-	Chicago Wolves	-
135	1099	Chicago Wolves	-	Texas Stars	-
138	1116	Chicago Wolves	-	Manitoba Moose	-
139	1125	Chicago Wolves	-	Hershey Bears	-
140	1132	Chicago Wolves	-	San Jose Barracuda	-
144	1152	Coachella Valley Firebirds	-	Chicago Wolves	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	50	20
Attendance	4,533	2,815
Attendance PCT	75.55%	93.83%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
33	2449 - 81.64%	94,317$	282,950$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
160,668$	2,088,500$	2,088,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	129,627$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,112,450$	136	17,852$	2,427,872$

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: 4 \| W: 0 \| L: 4 \| OTL: 0 \| P: 0 GF: 5 \| GA: 14 \| PP%: 12.50% \| PK%: 14.29% GM : Erik Beheim \| Morale : 46 \| Team Overall : 57 Next Games #97 vs Iowa Wild