Chicago Blackhawks
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
Web Lines Editor

Team Leaders

Team Stats

Team Info
	General Manager	Michael Harvey
	Coach	Darryl Sutter
	Division	Norris
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	16
	Farm Team	20
	Contract Limit	36 / 50
	Prospects	2
Team History
	This Season	0-0-0 ( 0PTS)
	History	28-36-14 (0.346%)
	Playoff Appearances	1
	Playoff Record (W-L)	0-0
	Stanley Cup	0

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	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	Tim Sweeney	0		X		100.00	47	28	84	69	63	84	73	77	72	75	74	63	69	38	39	0	50	62	0	23	1	108,400$
2	Mike Hudson	0	X			100.00	65	50	77	70	70	75	58	66	76	68	68	69	65	47	50	0	50	60	0	23	1	165,000$
3	Mike Peluso	0		X		100.00	87	82	43	61	82	74	64	62	61	61	63	71	62	36	63	0	50	59	0	25	1	130,000$
4	Warren Rychel	0		X		100.00	87	77	41	61	76	77	67	65	62	63	64	65	64	38	55	0	50	59	0	23	1	95,000$
5	Mike Stapleton	0	X			100.00	58	42	82	68	59	78	69	60	79	61	58	70	60	46	45	0	50	58	0	24	2	150,000$
6	Steve Dubinsky	0	X			100.00	72	70	73	65	70	81	70	61	71	61	60	65	60	40	42	0	50	58	0	20	2	65,000$
7	Stu Grimson	0		X		100.00	83	77	56	60	85	76	71	52	56	53	53	69	54	40	69	0	50	57	0	25	0	0$
8	Mike McNeil	0		X		100.00	51	30	83	70	67	75	66	59	64	58	58	65	58	37	37	0	50	56	0	24	1	112,736$
9	Jeff Serowik	0			X	100.00	59	42	69	67	68	76	65	71	35	68	69	67	66	38	38	0	50	59	0	23	1	105,000$
10	Milan Tichy	0			X	100.00	66	47	65	66	76	73	56	70	35	71	64	65	60	37	37	0	50	58	0	21	2	130,000$
11	Cam Russell	0			X	100.00	81	76	55	67	78	72	65	46	30	45	45	68	47	38	49	0	50	57	0	21	1	115,000$
12	Karl Dykhuis	0			X	100.00	64	61	74	64	75	82	83	53	30	54	50	65	54	36	38	0	50	57	0	18	2	45,000$
13	Jeff Bloemberg	0			X	100.00	45	30	84	62	75	82	70	64	35	65	56	63	58	37	37	0	50	56	0	22	1	120,000$
14	Adam Bennett (R)	0			X	100.00	73	65	63	62	79	75	70	53	40	52	56	63	57	36	36	0	50	56	0	0	2	45,000$
Scratches

	TEAM AVERAGE					100.00	67	56	68	65	73	77	68	61	53	61	60	66	60	39	45	0	50	58

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	SP	Age	Contract	Salary
1	Jimmy Waite	100.00	76	73	74	74	75	74	75	79	77	76	73	40	38	0	50	68	0	21	1	110,000$
2	Jacques Cloutier	100.00	78	65	57	55	64	74	74	80	79	70	74	78	75	0	50	68	0	30	3	195,000$
Scratches

	TEAM AVERAGE	100.00	77	69	66	65	70	74	75	80	78	73	74	59	57	0	50	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Darryl Sutter	78	79	70	77	84	85	88	CAN	33	2	150,000$

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	Type	Current Salary	Salary Remaining	Salary Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Adam Bennett	Indianapolis Ice (CHI) (CHI)	D	0	1997-08-21 02:24:12	Yes	212 Lbs	6 ft5	No	No	No	2	Pro & Farm	45,000$	45,000$	45,000$	45,000$	0$	0$	No	45,000$		Link
Cam Russell	Indianapolis Ice (CHI) (CHI)	D	21	1969-07-26 15:57:47	No	202 Lbs	6 ft4	No	No	No	1	Pro & Farm	115,000$	115,000$	115,000$	115,000$	0$	0$	No
Jacques Cloutier	Indianapolis Ice (CHI) (CHI)	G	30	1960-07-27 09:57:47	No	161 Lbs	5 ft7	No	No	No	3	Pro & Farm	195,000$	195,000$	195,000$	195,000$	0$	0$	No	195,000$	195,000$
Jeff Bloemberg	Indianapolis Ice (CHI) (CHI)	D	22	1968-07-27 09:57:47	No	209 Lbs	6 ft2	No	No	No	1	Pro & Farm	120,000$	120,000$	120,000$	120,000$	0$	0$	No
Jeff Serowik	Indianapolis Ice (CHI) (CHI)	D	23	1967-07-27 03:57:47	No	192 Lbs	6 ft1	No	No	No	1	Pro & Farm	105,000$	105,000$	105,000$	105,000$	0$	0$	No
Jimmy Waite	Indianapolis Ice (CHI) (CHI)	G	21	1969-07-26 15:57:47	No	184 Lbs	6 ft1	No	No	No	1	Pro & Farm	110,000$	110,000$	110,000$	110,000$	0$	0$	No
Karl Dykhuis	Indianapolis Ice (CHI) (CHI)	D	18	1972-07-08 02:26:57	No	217 Lbs	6 ft5	No	No	No	2	Pro & Farm	45,000$	45,000$	45,000$	45,000$	0$	0$	No	45,000$		Link
Mike Hudson	Indianapolis Ice (CHI) (CHI)	C	23	1967-07-27 03:57:47	No	189 Lbs	6 ft1	No	No	No	1	Pro & Farm	165,000$	165,000$	165,000$	165,000$	0$	0$	No
Mike McNeil	Indianapolis Ice (CHI) (CHI)	LW	24	1966-07-26 21:57:47	No	186 Lbs	6 ft1	No	No	No	1	Pro & Farm	112,736$	112,736$	112,736$	112,736$	0$	0$	No
Mike Peluso	Indianapolis Ice (CHI) (CHI)	LW	25	1965-07-26 15:57:47	No	226 Lbs	6 ft4	No	No	No	1	Pro & Farm	130,000$	130,000$	130,000$	130,000$	0$	0$	No
Mike Stapleton	Indianapolis Ice (CHI) (CHI)	C	24	1966-07-26 21:57:47	No	184 Lbs	5 ft10	No	No	No	2	Pro & Farm	150,000$	150,000$	150,000$	150,000$	0$	0$	No	150,000$
Milan Tichy	Indianapolis Ice (CHI) (CHI)	D	21	1969-07-26 15:57:47	No	203 Lbs	6 ft3	No	No	No	2	Pro & Farm	130,000$	130,000$	130,000$	130,000$	0$	0$	No	130,000$
Steve Dubinsky	Indianapolis Ice (CHI) (CHI)	C	20	1970-07-09 02:29:53	No	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	65,000$	65,000$	65,000$	65,000$	0$	0$	No	65,000$		Link
Stu Grimson	Indianapolis Ice (CHI) (CHI)	LW	25	1965-07-26 15:57:47	No	232 Lbs	6 ft5	No	No	No	0	Pro & Farm					0$	0$	No
Tim Sweeney	Indianapolis Ice (CHI) (CHI)	LW	23	1967-07-27 03:57:47	No	184 Lbs	5 ft11	No	No	No	1	Pro & Farm	108,400$	108,400$	108,400$	108,400$	0$	0$	No
Warren Rychel	Indianapolis Ice (CHI) (CHI)	LW	23	1967-07-27 03:57:47	No	208 Lbs	6 ft0	No	No	No	1	Pro & Farm	95,000$	95,000$	95,000$	95,000$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
16	21.44	199 Lbs	6 ft2	1.38	105,696$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tim Sweeney	Mike Hudson	Mike McNeil	40	1	2	2
2	Warren Rychel	Mike Stapleton		30	1	2	2
3		Steve Dubinsky		20	1	2	2
4	Mike McNeil	Tim Sweeney	Warren Rychel	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jeff Serowik	40	1	2	2
2	Milan Tichy	Jeff Bloemberg	30	1	2	2
3	Cam Russell	Adam Bennett	20	1	2	2
4		Jeff Serowik	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tim Sweeney	Mike Hudson	Mike McNeil	60	1	2	2
2	Warren Rychel	Mike Stapleton		40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jeff Serowik	60	1	2	2
2	Milan Tichy	Jeff Bloemberg	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tim Sweeney	Warren Rychel	60	1	2	2
2	Mike Hudson		40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jeff Serowik	60	1	2	2
2	Milan Tichy	Jeff Bloemberg	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Tim Sweeney	60	1	2	2		Jeff Serowik	60	1	2	2
2	Warren Rychel	40	1	2	2	Milan Tichy	Jeff Bloemberg	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tim Sweeney	Warren Rychel	60	1	2	2
2	Mike Hudson		40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jeff Serowik	60	1	2	2
2	Milan Tichy	Jeff Bloemberg	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tim Sweeney	Mike Hudson	Mike McNeil		Jeff Serowik

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Tim Sweeney	Mike Hudson	Mike McNeil		Jeff Serowik

Extra Forwards
Normal	PowerPlay	Penalty Kill
Steve Dubinsky, Mike Stapleton,	Steve Dubinsky, Mike Stapleton

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Cam Russell, Adam Bennett, Milan Tichy	Cam Russell	Adam Bennett, Milan Tichy

Penalty Shots
Tim Sweeney, Warren Rychel, Mike Hudson, , Mike Stapleton

Goalie
#1 : Jacques Cloutier, #2 : Jimmy Waite

Custom OT Lines Forwards
Tim Sweeney, Warren Rychel, Mike Hudson, , Mike Stapleton, Steve Dubinsky, Steve Dubinsky, Mike McNeil, , ,

Custom OT Lines Defensemen
, Jeff Serowik, Milan Tichy, Jeff Bloemberg, Cam Russell

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	T	GF	GA
0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	T
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
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	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
0$	845,568$	845,568$	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$

Indianapolis Ice (CHI) Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKS	GW	GT	FO%	P/20
1	Tim Sweeney	69	30	42	72	6	10	27	53	246	12.20%	24	1381	20.03	7	9	16	29	6	5	0	47.91	1.04
2	Mike Hudson	39	19	18	37	3	18	50	31	128	14.84%	32	697	17.90	5	6	11	17	1	6	3	57.26	1.06
3	Mike McNeil	80	14	22	36	-3	4	56	73	262	5.34%	38	1397	17.47	6	4	10	50	0	3	1	44.83	0.52
4	Milan Tichy	68	19	15	34	-10	26	102	51	172	11.05%	64	1209	17.78	2	2	4	10	1	4	2	50.00	0.56
5	Jeff Serowik	42	16	12	28	7	26	42	54	141	11.35%	54	1072	25.53	4	2	6	20	5	3	1	0.00%	0.52

Indianapolis Ice (CHI) Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Jacques Cloutier	56	26	19	11	0.922	1.73	3408	2	6	98	1258	765	2	0	0.00%	0
2	Jimmy Waite	6	1	4	1	0.905	2.47	365	0	0	15	158	93	0	0	0.00%	0

Indianapolis Ice (CHI) Career Team Stats

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
Regular Season
1	80	25	36	14	3	2	0	0	128	161	-33	40	13	15	8	2	2	0	0	71	70	1	40	12	21	6	1	0	0	0	57	91	-34	70	128	215	343	0	8	39	42	44	3	1778	482	641	634	21	1753	668	1403	998	198	27	13.64%	129	17	86.82%	0	555	1099	50.50%	521	1064	48.97%	479	916	52.29%	2034	1501	1803	527	1047	518
Total Regular Season	80	25	36	14	3	2	0	0	128	161	-33	40	13	15	8	2	2	0	0	71	70	1	40	12	21	6	1	0	0	0	57	91	-34	70	128	215	343	0	8	39	42	44	3	1778	482	641	634	21	1753	668	1403	998	198	27	13.64%	129	17	86.82%	0	555	1099	50.50%	521	1064	48.97%	479	916	52.29%	2034	1501	1803	527	1047	518
Playoff
Total Playoff	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	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

Indianapolis Ice (CHI) Stat Leaders (Play-Off)

Show or Hide Column

#	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

Indianapolis Ice (CHI) Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Indianapolis Ice (CHI)
	GP: 0 \| W: 0 \| L: 0 \| T: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : Michael Harvey \| Morale : 50 \| Team Overall : 59