Minnesota North Stars
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
Web Lines Editor

Team Leaders

Team Stats

Team Info
	General Manager
	Division	Norris
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	14
	Farm Team	24
	Contract Limit	38 / 50
	Prospects	6
Team History
	This Season	0-0-0 ( 0PTS)
	History	22-44-12 (0.278%)
	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	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	Mike Craig	0			X		100.00	67	46	73	70	73	81	73	69	69	66	67	55	67	37	44	0	50	60	0	19	3	150,000$
2	Ed Courtenay	0		X			100.00	47	31	84	67	77	83	74	66	66	68	66	50	66	37	37	0	50	58	0	22	2	165,000$
3	Peter Lappin	0			X		100.00	49	31	81	71	60	75	63	71	64	69	70	52	68	40	38	0	50	58	0	25	1	130,000$
4	Kevin Evans	0		X			100.00	95	75	35	68	70	78	70	61	60	59	55	60	58	40	47	0	50	57	0	25	1	100,000$
5	Larry DePalma	0		X			100.00	82	69	47	63	72	74	61	61	65	60	60	63	61	48	53	0	50	57	0	25	3	160,000$
6	Don Barber	0			X		100.00	49	30	80	63	73	69	60	69	68	67	67	53	69	45	43	0	50	57	0	26	2	137,000$
7	Steve Gotaas	0	X				100.00	60	35	71	68	61	77	65	66	67	63	61	53	61	41	37	0	50	56	0	23	0	0$
8	Mike McHugh	0		X			100.00	61	44	69	64	65	77	69	60	63	57	53	59	55	39	40	0	50	54	0	25	2	115,000$
9	Tommy Sjodin	0				X	100.00	55	55	83	65	68	80	78	64	35	66	57	64	55	54	52	0	50	59	0	24	2	65,000$
10	Pat MacLeod	0				X	100.00	44	30	85	66	63	75	65	73	35	74	71	59	66	37	39	0	50	58	0	21	1	110,000$
11	Jayson More	0				X	100.00	68	53	67	62	77	74	63	61	35	59	53	69	56	37	41	0	50	58	0	21	2	160,000$
12	Lance Pitlick	0				X	100.00	75	72	69	63	74	81	73	55	35	56	51	62	49	47	43	0	50	58	0	22	2	45,000$
13	Dan Keczmer	0				X	100.00	53	31	80	68	71	74	68	59	30	61	52	66	50	36	36	0	50	57	0	22	1	115,000$
14	Link Gaetz	0				X	100.00	92	79	39	54	84	70	60	50	35	50	48	62	51	38	37	0	50	55	0	22	2	140,000$
Scratches

	TEAM AVERAGE						100.00	64	49	69	65	71	76	67	63	52	63	59	59	59	41	42	0	50	57

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
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

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
Dan Keczmer	Kalamazoo Wings (MIN) (MIN)	D	22	1968-07-27 09:57:47	No	182 Lbs	5 ft11	No	No	No	1	Pro & Farm	115,000$	115,000$	115,000$	115,000$	0$	0$	No
Don Barber	Kalamazoo Wings (MIN) (MIN)	RW	26	1964-07-27 09:57:47	No	207 Lbs	6 ft0	No	No	No	2	Pro & Farm	137,000$	137,000$	137,000$	137,000$	0$	0$	No	137,000$
Ed Courtenay	Kalamazoo Wings (MIN) (MIN)	LW	22	1968-07-27 09:57:47	No	203 Lbs	6 ft4	No	No	No	2	Pro & Farm	165,000$	165,000$	165,000$	165,000$	0$	0$	No	165,000$
Jayson More	Kalamazoo Wings (MIN) (MIN)	D	21	1969-07-26 15:57:47	No	213 Lbs	6 ft2	No	No	No	2	Pro & Farm	160,000$	160,000$	160,000$	160,000$	0$	0$	No	160,000$
Kevin Evans	Kalamazoo Wings (MIN) (MIN)	LW	25	1965-07-26 15:57:47	No	183 Lbs	5 ft10	No	No	No	1	Pro & Farm	100,000$	100,000$	100,000$	100,000$	0$	0$	No
Lance Pitlick	Kalamazoo Wings (MIN) (MIN)	D	22	1967-11-05 08:11:19	No	205 Lbs	6 ft0	No	No	No	2	Pro & Farm	45,000$	45,000$	45,000$	45,000$	0$	0$	No	45,000$
Larry DePalma	Kalamazoo Wings (MIN) (MIN)	LW	25	1965-07-26 15:57:47	No	202 Lbs	5 ft11	No	No	No	3	Pro & Farm	160,000$	160,000$	160,000$	160,000$	0$	0$	No	160,000$	160,000$
Link Gaetz	Kalamazoo Wings (MIN) (MIN)	D	22	1968-07-27 09:57:47	No	247 Lbs	6 ft3	No	No	No	2	Pro & Farm	140,000$	140,000$	140,000$	140,000$	0$	0$	No	140,000$
Mike Craig	Kalamazoo Wings (MIN) (MIN)	RW	19	1971-07-27 03:57:47	No	187 Lbs	6 ft1	No	No	No	3	Pro & Farm	150,000$	150,000$	150,000$	150,000$	0$	0$	No	150,000$	150,000$
Mike McHugh	Kalamazoo Wings (MIN) (MIN)	LW	25	1965-07-26 15:57:47	No	191 Lbs	5 ft10	No	No	No	2	Pro & Farm	115,000$	115,000$	115,000$	115,000$	0$	0$	No	115,000$
Pat MacLeod	Kalamazoo Wings (MIN) (MIN)	D	21	1969-07-26 15:57:47	No	193 Lbs	5 ft11	No	No	No	1	Pro & Farm	110,000$	110,000$	110,000$	110,000$	0$	0$	No
Peter Lappin	Kalamazoo Wings (MIN) (MIN)	RW	25	1965-07-26 15:57:47	No	180 Lbs	5 ft11	No	No	No	1	Pro & Farm	130,000$	130,000$	130,000$	130,000$	0$	0$	No
Steve Gotaas	Kalamazoo Wings (MIN) (MIN)	C	23	1967-07-27 03:57:47	No	183 Lbs	5 ft10	No	No	No	0	Pro & Farm					0$	0$	No
Tommy Sjodin	Kalamazoo Wings (MIN) (MIN)	D	24	1965-08-13 10:54:22	No	199 Lbs	6 ft0	No	No	No	2	Pro & Farm	65,000$	65,000$	65,000$	65,000$	0$	0$	No	65,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
14	23.00	198 Lbs	6 ft0	1.71	113,714$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ed Courtenay		Mike Craig	40	1	2	2
2	Larry DePalma	Steve Gotaas	Peter Lappin	30	1	2	2
3	Kevin Evans	Mike McHugh	Pat MacLeod	20	1	2	2
4	Mike McHugh		Mike Craig	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2	Tommy Sjodin		30	1	2	2
3	Lance Pitlick	Jayson More	20	1	2	2
4	Pat MacLeod		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ed Courtenay		Mike Craig	60	1	2	2
2	Larry DePalma	Steve Gotaas	Peter Lappin	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Tommy Sjodin		40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Mike Craig	60	1	2	2
2	Ed Courtenay	Larry DePalma	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Tommy Sjodin		40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2	Mike Craig	40	1	2	2	Tommy Sjodin		40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Mike Craig	60	1	2	2
2	Ed Courtenay	Larry DePalma	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Tommy Sjodin		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Ed Courtenay		Mike Craig

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Ed Courtenay		Mike Craig

Extra Forwards
Normal	PowerPlay	Penalty Kill
Kevin Evans, Peter Lappin, Steve Gotaas	Kevin Evans, Peter Lappin	Steve Gotaas

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Lance Pitlick, Jayson More, Pat MacLeod	Lance Pitlick	Jayson More, Pat MacLeod

Penalty Shots
, Mike Craig, Ed Courtenay, Larry DePalma, Peter Lappin

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, Mike Craig, Ed Courtenay, Larry DePalma, Peter Lappin, Kevin Evans, Kevin Evans, Steve Gotaas, Mike McHugh, ,

Custom OT Lines Defensemen
, , Tommy Sjodin, , Lance Pitlick

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$	796,000$	796,000$	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$

Kalamazoo Wings (MIN) 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	PKG	PKP	PKS	GW	GT	FO%	HT	P/20
1	Peter Lappin	80	47	15	62	1	2	36	32	273	17.22%	8	1396	17.46	5	2	7	20	0	0	0	5	6	42.62	2	0.89
2	Steve Gotaas	80	16	32	48	-25	22	56	60	200	8.00%	31	1496	18.70	3	8	11	29	0	0	0	2	2	50.15	1	0.64
3	Ed Courtenay	80	20	21	41	-30	8	41	52	230	8.70%	23	1649	20.62	5	6	11	26	0	0	5	2	2	44.44	0	0.50
4	Pat MacLeod	66	19	20	39	-18	2	10	57	162	11.73%	47	1249	18.93	0	5	5	9	0	0	0	2	1	46.67	0	0.62
5	Mike Craig	62	17	20	37	-28	28	65	57	182	9.34%	19	1297	20.93	1	6	7	17	1	1	5	6	1	52.48	1	0.57

Kalamazoo Wings (MIN) 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	Jarmo Myllys	41	12	23	5	0.891	2.63	2467	2	0	108	993	603	3	1	0.00%	0

Kalamazoo Wings (MIN) 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	21	44	12	1	2	0	0	170	245	-75	40	13	19	7	1	0	0	0	84	103	-19	40	8	25	5	0	2	0	0	86	142	-56	56	170	271	441	2	2	49	61	59	1	2059	601	662	780	16	1867	717	1489	1101	158	26	16.46%	163	29	82.21%	1	588	1177	49.96%	536	1085	49.40%	500	1016	49.21%	1730	1144	1979	573	1158	587
Total Regular Season	80	21	44	12	1	2	0	0	170	245	-75	40	13	19	7	1	0	0	0	84	103	-19	40	8	25	5	0	2	0	0	86	142	-56	56	170	271	441	2	2	49	61	59	1	2059	601	662	780	16	1867	717	1489	1101	158	26	16.46%	163	29	82.21%	1	588	1177	49.96%	536	1085	49.40%	500	1016	49.21%	1730	1144	1979	573	1158	587
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

Kalamazoo Wings (MIN) 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

Kalamazoo Wings (MIN) 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

	Kalamazoo Wings (MIN)
	GP: 0 \| W: 0 \| L: 0 \| T: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : \| Morale : 50 \| Team Overall : 57