Stanley Cup Winners Hockey League - CHICAGO Wolves

CHICAGO Wolves

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Lukas Tremblay | Morale : 99 | Team Overall : 61

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

ST-LOUIS Blues
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Show or Hide Column

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP
1	Kyle Baun	0			X		100.00	69	43	71	60	80	58	88	55	50	57	53	60	53	50	50	42	82	62		0
2	Shane Prince	0	X	X			100.00	59	41	82	69	67	77	35	58	30	59	59	59	64	55	53	64	82	60		0
3	Alexander Volkov	0		X			100.00	51	89	59	70	76	50	50	70	50	63	63	58	63	50	50	44	82	60		0
4	Rourke Chartier	0	X				100.00	54	35	72	68	70	58	56	68	70	59	60	55	61	51	50	54	82	60		0
5	Blaine Byron	0	X				100.00	50	89	71	70	69	50	50	70	50	63	63	51	63	50	50	43	90	59		0
6	Taylor Beck	0		X	X		100.00	51	35	76	71	76	48	42	62	30	58	57	56	57	64	61	55	82	59		0
7	Justin Auger	0			X		100.00	70	89	72	55	99	50	50	55	50	55	55	50	55	50	50	59	82	58		0
8	Alexander Khokhlachev	0	X	X			100.00	45	35	80	75	61	49	41	62	42	59	58	59	65	58	49	79	82	57		0
9	Dominic Turgeon	0	X				100.00	55	35	63	63	80	51	52	63	69	53	53	51	53	50	50	67	82	57		0
10	Robert Bortuzzo	0				X	100.00	74	41	72	64	90	77	72	64	30	66	69	81	67	63	54	51	61	71		0
11	Tony DeAngelo	0				X	100.00	66	50	64	72	68	83	74	71	30	80	72	67	72	55	57	81	96	71		0
12	Jake Dotchin	0				X	100.00	71	50	63	63	85	61	60	63	30	60	62	63	63	54	51	47	76	63		0
13	Ian McCoshen	0				X	100.00	66	35	66	60	87	55	59	60	30	53	56	57	56	52	51	76	82	59		0
14	Joe Hicketts	0				X	100.00	53	35	62	66	64	55	55	66	30	53	54	57	55	51	50	44	90	57		0
15	Mark Friedman	0				X	100.00	50	35	57	64	69	50	50	64	30	53	53	50	53	50	50	62	90	55		0
Scratches

	TEAM AVERAGE					100.00	59	49	69	66	76	58	56	63	41	59	59	58	60	54	52	58	83	61

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	TA	SP
Scratches

	TEAM AVERAGE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ralph Krueger	66	66	66	66	77	77	52	CAN	60	3	81,800$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Alexander Khokhlachev	CHICAGO Wolves (STL)	C/LW	24	1993-09-09	No	82 Kg	178 CM	No	No	No	2	RFA	Pro & Farm	750,000$	0$	0$	No
Alexander Volkov	CHICAGO Wolves (STL)	LW	21	1997-08-02	No	87 Kg	185 CM	No	No	No	1	RFA	Pro & Farm	735,000$	0$	0$	No	Link
Blaine Byron	CHICAGO Wolves (STL)	C	23	1995-02-21	No	78 Kg	183 CM	No	No	No	2	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Dominic Turgeon	CHICAGO Wolves (STL)	C	22	1996-02-25	No	91 Kg	188 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Ian McCoshen	CHICAGO Wolves (STL)	D	23	1995-08-05	No	99 Kg	191 CM	No	No	No	1	RFA	Pro & Farm	735,000$	0$	0$	No	Link
Jake Dotchin	CHICAGO Wolves (STL)	D	24	1994-03-24	No	95 Kg	191 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Joe Hicketts	CHICAGO Wolves (STL)	D	22	1996-05-04	No	82 Kg	173 CM	No	No	No	4	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Justin Auger	CHICAGO Wolves (STL)	RW	24	1994-05-14	No	105 Kg	198 CM	No	No	No	2	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Kyle Baun	CHICAGO Wolves (STL)	RW	26	1992-05-04	No	95 Kg	188 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Mark Friedman	CHICAGO Wolves (STL)	D	22	1995-12-25	No	84 Kg	180 CM	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Robert Bortuzzo	CHICAGO Wolves (STL)	D	29	1989-03-18	No	98 Kg	193 CM	No	No	No	2	UFA	Pro & Farm	1,375,000$	0$	0$	No	Link
Rourke Chartier	CHICAGO Wolves (STL)	C	22	1996-04-03	No	86 Kg	180 CM	No	No	No	1	RFA	Pro & Farm	735,000$	0$	0$	No	Link
Shane Prince	CHICAGO Wolves (STL)	C/LW	25	1992-11-16	No	88 Kg	180 CM	No	No	No	1	RFA	Pro & Farm	700,000$	0$	0$	No	Link
Taylor Beck	CHICAGO Wolves (STL)	LW/RW	27	1991-05-13	No	92 Kg	188 CM	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No
Tony DeAngelo	CHICAGO Wolves (STL)	D	22	1995-10-24	No	82 Kg	180 CM	No	No	No	6	RFA	Pro & Farm	1,800,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
15	23.73	90 Kg	185 CM	1.93	855,333$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alexander Volkov	Dominic Turgeon	Justin Auger	31	1	2	2
2	Taylor Beck	Shane Prince	Kyle Baun	26	1	2	2
3	Dominic Turgeon	Alexander Khokhlachev	Justin Auger	23	1	2	2
4	Alexander Volkov	Rourke Chartier	Kyle Baun	20	1	2	2

5 vs 5 Defense
Line #	Defense	Defense		Time %	PHY	DF	OF
1	Ian McCoshen	Joe Hicketts		31	1	2	2
2		Mark Friedman		26	1	2	2
3	Ian McCoshen	Joe Hicketts		23	1	2	2
4		Mark Friedman		20	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alexander Volkov	Dominic Turgeon	Justin Auger	55	1	2	2
2	Taylor Beck	Shane Prince	Kyle Baun	45	1	2	2

Power Play Defense
Line #	Defense	Defense		Time %	PHY	DF	OF
1	Ian McCoshen	Joe Hicketts		55	1	2	2
2		Mark Friedman		45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dominic Turgeon	Justin Auger	55	1	2	2
2	Alexander Volkov	Kyle Baun	45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian McCoshen	Joe Hicketts	55	1	2	2
2		Mark Friedman	45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Dominic Turgeon	55	1	2	2	Ian McCoshen	Joe Hicketts	55	1	2	2
2	Justin Auger	45	1	2	2		Mark Friedman	45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dominic Turgeon	Justin Auger	55	1	2	2
2	Alexander Volkov	Kyle Baun	45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian McCoshen	Joe Hicketts	55	1	2	2
2		Mark Friedman	45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alexander Volkov	Dominic Turgeon	Justin Auger	Ian McCoshen	Joe Hicketts

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alexander Volkov	Dominic Turgeon	Justin Auger	Ian McCoshen	Joe Hicketts

Extra Forwards
Normal	PowerPlay	Penalty Kill
Blaine Byron, Alexander Khokhlachev, Rourke Chartier	Blaine Byron, Alexander Khokhlachev	Rourke Chartier

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ian McCoshen, Joe Hicketts,	Ian McCoshen	Joe Hicketts,

Penalty Shots
Dominic Turgeon, Justin Auger, Alexander Volkov, Kyle Baun, Shane Prince

Goalie
#1 : , #2 :

Custom OT Lines Forwards
Dominic Turgeon, Justin Auger, Alexander Volkov, Kyle Baun, Shane Prince, Taylor Beck, Taylor Beck, Alexander Khokhlachev, Rourke Chartier, Blaine Byron,

Custom OT Lines Defensemen
Ian McCoshen, Joe Hicketts, , Mark Friedman,

Show or Hide Column

Filter Tips

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

	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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

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

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

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

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0.00%	0.00%
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
41	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,283,000$	1,283,000$	0$

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

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

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Back to the Top