Minnesota Wild
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Chicago Wolves 38-14-4, 80pts	10	FINAL	3	Iowa Wild 7-48-1, 15pts

Team Stats
W2	Streak	L5
22-4-2	Home Record	4-22-0
16-10-2	Home Record	3-26-1
8-2-0	Last 10 Games	1-9-0
5.77	Goals Per Game	2.80
3.32	Goals Against Per Game	8.66
22.88%	Power Play Percentage	14.52%
79.09%	Penalty Kill Percentage	66.67%

Bridgeport Islanders
36-16-3, 75pts

FINAL

Iowa Wild
7-48-1, 15pts

Team Stats
W2	Streak	L5
15-9-2	Home Record	4-22-0
21-7-1	Home Record	3-26-1
8-1-1	Last 10 Games	1-9-0
5.15	Goals Per Game	2.80
3.15	Goals Against Per Game	8.66
30.10%	Power Play Percentage	14.52%
75.00%	Penalty Kill Percentage	66.67%

Iowa Wild
7-48-1, 15pts

Day 140

Grand Rapids Griffins
33-19-3, 69pts

Team Stats
L5	Streak	W1
4-22-0	Home Record	19-8-2
3-26-1	Away Record	14-11-1
1-9-0	Last 10 Games	7-3-0
2.80	Goals Per Game	5.45
8.66	Goals Against Per Game	5.45
14.52%	Power Play Percentage	23.75%
66.67%	Penalty Kill Percentage	77.22%

Grand Rapids Griffins
33-19-3, 69pts

Day 143

Iowa Wild
7-48-1, 15pts

Team Stats
W1	Streak	L5
19-8-2	Home Record	4-22-0
14-11-1	Away Record	3-26-1
7-3-0	Last 10 Games	1-9-0
5.45	Goals Per Game	2.80
3.85	Goals Against Per Game	2.80
23.75%	Power Play Percentage	14.52%
77.22%	Penalty Kill Percentage	66.67%

Iowa Wild
7-48-1, 15pts

Day 145

Tucson Roadrunners
38-14-4, 80pts

Team Stats
L5	Streak	W1
4-22-0	Home Record	18-7-2
3-26-1	Away Record	20-7-2
1-9-0	Last 10 Games	6-4-0
2.80	Goals Per Game	4.38
8.66	Goals Against Per Game	4.38
14.52%	Power Play Percentage	30.28%
66.67%	Penalty Kill Percentage	75.61%

Team Leaders

Team Stats
Goals For 157 2.80 GFG	Shots For 2317 41.38 Avg	Power Play Percentage 14.5% 9 GF	Offensive Zone Start 29.9%
Goals Against 485 8.66 GAA	Shots Against 5179 92.48 Avg	Penalty Kill Percentage 66.7%% 9 GA	Defensive Zone Start 49.5%

Team Info
	General Manager	Tom Jervis
	Division	Central
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	9
	Farm Team	20
	Contract Limit	29 / 50
	Prospects	30

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	Ross Johnston		X			100.00	79	79	78	60	89	54	76	55	54	57	59	69	54	60	58	0	40	62	0	30	3	900,000$
2	Rory Kerins	X				100.00	54	57	69	61	61	66	64	61	70	58	60	64	57	55	53	0	40	61	0	22	3	846,667$
3	Evan Vierling	X				100.00	55	55	70	54	64	56	55	55	70	55	55	60	54	55	53	0	40	56	0	22	1	775,000$
4	Sam Lipkin (R)	X	X	X		100.00	56	54	70	54	70	55	55	54	55	54	54	60	54	54	52	0	40	56	0	22	3	675,000$
5	Shakir Mukhamadullin				X	100.00	56	57	69	62	74	68	65	62	41	63	57	66	55	56	54	0	40	63	0	23	1	894,167$
6	Wyatt Kaiser				X	100.00	61	49	70	62	65	71	62	58	41	61	56	73	55	56	56	0	40	63	0	22	1	916,667$
7	Adam Wilsby				X	100.00	55	58	69	60	68	68	65	58	40	58	57	67	54	59	55	0	40	61	0	24	1	775,000$
Scratches

	TEAM AVERAGE					100.00	59	58	71	59	70	63	63	58	53	58	57	66	55	56	54	0	40	60

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	Troy Grosenick	100.00	65	66	65	58	67	60	68	65	59	63	62	81	68	0	40	65	0	35	1	775,000$
2	Jacob Ingham	100.00	56	56	56	71	64	54	69	56	61	59	69	58	54	0	40	60	0	24	1	775,000$
Scratches

	TEAM AVERAGE	100.00	61	61	61	65	66	57	69	61	60	61	66	70	61	0	40	63

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

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	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 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

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap 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 Wilsby	Iowa Wild (MIN)	D	24	2000-08-07	SWE	No	191 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2024-09-17	False	False	Pro & Farm	775,000$	219,716$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Evan Vierling	Iowa Wild (MIN)	C	22	2002-06-20	CAN	No	167 Lbs	6 ft0	No	No	Assign Manually	No	No	1	2024-09-17	False	False	Pro & Farm	775,000$	219,716$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jacob Ingham	Iowa Wild (MIN)	G	24	2000-06-10	CAN	No	205 Lbs	6 ft5	No	No	Assign Manually	No	No	1	2024-09-17	False	False	Pro & Farm	775,000$	219,716$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Rory Kerins	Iowa Wild (MIN)	C	22	2002-04-23	CAN	No	174 Lbs	5 ft10	No	No	Assign Manually	No	No	3	2024-09-17	False	False	Pro & Farm	846,667$	240,034$	0$	0$	No	846,667$	846,667$	-	-	-	-	-	-	-	846,667$	846,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ross Johnston	Iowa Wild (MIN)	LW	30	1994-02-18	CAN	No	233 Lbs	6 ft5	No	No	Assign Manually	No	Yes	3	2024-09-26	False	False	Pro & Farm	900,000$	255,155$	0$	0$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Sam Lipkin	Iowa Wild (MIN)	C/LW/RW	22	2003-01-03	USA	Yes	191 Lbs	6 ft2	No	No	Draft	No	No	3	2024-09-13	False	False	Pro & Farm	675,000$	191,366$	0$	0$	No	675,000$	675,000$	-	-	-	-	-	-	-	675,000$	675,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Shakir Mukhamadullin	Iowa Wild (MIN)	D	23	2002-01-10	RUS	No	178 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2024-08-03	False	False	Pro & Farm	894,167$	253,501$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Troy Grosenick	Iowa Wild (MIN)	G	35	1989-08-27	USA	No	180 Lbs	6 ft1	No	No	Assign Manually	No	Yes	1	2024-09-17	False	False	Pro & Farm	775,000$	219,716$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Wyatt Kaiser	Iowa Wild (MIN)	D	22	2002-07-31	USA	No	171 Lbs	6 ft0	No	No	Assign Manually	No	No	1	2024-08-03	False	False	Pro & Farm	916,667$	259,880$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
9	24.89	188 Lbs	6 ft2	1.67	814,722$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

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

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

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

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

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

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Abbotsford Canucks	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	78	41	34	4	20	789	727	776	28	84	32	2	7	1	0	0.00%	1	0	100.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
2	Bakersfield Condors	3	0	3	0	0	0	0	0	7	31	-24	2	0	2	0	0	0	0	0	4	18	-14	1	0	1	0	0	0	0	0	3	13	-10	0	0.000	7	14	21	0	0	78	41	34	4	131	789	727	776	28	323	78	0	65	3	1	33.33%	1	0	100.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
3	Belleville Senators	2	0	2	0	0	0	0	0	4	17	-13	1	0	1	0	0	0	0	0	1	11	-10	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	4	8	12	0	0	78	41	34	4	56	789	727	776	28	146	52	6	31	4	1	25.00%	4	1	75.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
4	Bridgeport Islanders	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	78	41	34	4	31	789	727	776	28	73	24	4	9	1	0	0.00%	2	1	50.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
5	Calgary Wranglers	2	0	2	0	0	0	0	0	3	20	-17	1	0	1	0	0	0	0	0	2	10	-8	1	0	1	0	0	0	0	0	1	10	-9	0	0.000	3	6	9	0	0	78	41	34	4	42	789	727	776	28	175	49	0	19	1	0	0.00%	0	0	0%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
6	Charlotte Checkers	2	0	2	0	0	0	0	0	3	20	-17	1	0	1	0	0	0	0	0	1	10	-9	1	0	1	0	0	0	0	0	2	10	-8	0	0.000	3	5	8	0	0	78	41	34	4	41	789	727	776	28	222	60	7	19	3	1	33.33%	1	0	100.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
7	Chicago Wolves	2	0	2	0	0	0	0	0	4	21	-17	1	0	1	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	1	11	-10	0	0.000	4	8	12	0	0	78	41	34	4	42	789	727	776	28	207	57	0	27	3	0	0.00%	0	0	0%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
8	Cleveland Monsters	2	0	2	0	0	0	0	0	7	23	-16	1	0	1	0	0	0	0	0	4	12	-8	1	0	1	0	0	0	0	0	3	11	-8	0	0.000	7	14	21	0	0	78	41	34	4	92	789	727	776	28	228	63	0	30	0	0	0%	0	0	0%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
9	Coachella Valley Firebirds	1	0	1	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	4	11	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	78	41	34	4	34	789	727	776	28	115	30	2	26	1	0	0.00%	1	1	0.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
10	Colorado Eagles	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	4	8	12	0	0	78	41	34	4	136	789	727	776	28	173	47	2	47	0	0	0%	1	0	100.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
11	Henderson Silver Knights	2	0	2	0	0	0	0	0	3	17	-14	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	3	4	7	0	0	78	41	34	4	65	789	727	776	28	168	56	0	32	4	1	25.00%	0	0	0%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
12	Hershey Bears	1	0	1	0	0	0	0	0	1	10	-9	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	10	-9	0	0.000	1	2	3	0	0	78	41	34	4	25	789	727	776	28	99	35	0	8	4	0	0.00%	1	0	100.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
13	Laval Rocket	2	0	2	0	0	0	0	0	5	20	-15	1	0	1	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	2	9	-7	0	0.000	5	10	15	0	0	78	41	34	4	60	789	727	776	28	255	70	4	30	1	1	100.00%	2	1	50.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
14	Lehigh Valley Phantoms	2	0	1	0	1	0	0	0	14	15	-1	1	0	0	0	1	0	0	0	8	7	1	1	0	1	0	0	0	0	0	6	8	-2	2	0.500	14	27	41	0	0	78	41	34	4	180	789	727	776	28	162	40	2	69	3	0	0.00%	1	0	100.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
15	Manitoba Moose	3	0	3	0	0	0	0	0	7	26	-19	1	0	1	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	5	22	-17	0	0.000	7	14	21	0	0	78	41	34	4	66	789	727	776	28	287	70	4	36	6	2	33.33%	2	1	50.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
16	Milwaukee Admirals	3	1	1	0	0	1	0	0	18	17	1	2	1	1	0	0	0	0	0	13	11	2	1	0	0	0	0	1	0	0	5	6	-1	3	0.500	18	35	53	1	0	78	41	34	4	263	789	727	776	28	248	69	2	80	1	0	0.00%	1	1	0.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
17	Ontario Reign	2	0	2	0	0	0	0	0	3	24	-21	1	0	1	0	0	0	0	0	1	12	-11	1	0	1	0	0	0	0	0	2	12	-10	0	0.000	3	6	9	0	0	78	41	34	4	45	789	727	776	28	253	77	0	20	1	1	100.00%	0	0	0%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
18	Providence Bruins	1	0	1	0	0	0	0	0	6	8	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	6	8	-2	0	0.000	6	12	18	1	0	78	41	34	4	74	789	727	776	28	97	14	0	13	0	0	0%	0	0	0%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
19	Rochester Americans	1	0	1	0	0	0	0	0	4	12	-8	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	12	-8	0	0.000	4	7	11	0	0	78	41	34	4	26	789	727	776	28	109	29	0	15	0	0	0%	0	0	0%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
20	Rockford IceHogs	4	0	4	0	0	0	0	0	6	35	-29	2	0	2	0	0	0	0	0	3	21	-18	2	0	2	0	0	0	0	0	3	14	-11	0	0.000	6	10	16	0	0	78	41	34	4	85	789	727	776	28	301	96	5	36	12	1	8.33%	0	0	0%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
21	San Diego Gulls	2	0	1	0	1	0	0	0	12	14	-2	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	1	0	0	0	12	14	-2	2	0.500	12	22	34	0	0	78	41	34	4	180	789	727	776	28	169	48	2	43	0	0	0%	1	0	100.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
22	San Jose Barracuda	2	0	2	0	0	0	0	0	2	18	-16	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	2	18	-16	0	0.000	2	4	6	0	0	78	41	34	4	37	789	727	776	28	225	65	4	18	4	0	0.00%	3	2	33.33%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
23	Springfield Thunderbirds	3	0	3	0	0	0	0	0	1	31	-30	1	0	1	0	0	0	0	0	0	9	-9	2	0	2	0	0	0	0	0	1	22	-21	0	0.000	1	2	3	0	0	78	41	34	4	85	789	727	776	28	279	87	5	37	4	0	0.00%	0	0	0%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
24	Syracuse Crunch	2	0	0	0	1	0	1	0	13	11	2	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	0	0	1	0	8	7	1	4	1.000	13	23	36	0	0	78	41	34	4	161	789	727	776	28	189	55	2	44	0	0	0%	2	1	50.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
25	Texas Stars	2	0	2	0	0	0	0	0	3	17	-14	1	0	1	0	0	0	0	0	2	10	-8	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	3	6	9	0	0	78	41	34	4	60	789	727	776	28	133	37	0	34	0	0	0%	0	0	0%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
26	Toronto Marlies	2	2	0	0	0	0	0	0	14	8	6	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	5	2	4	1.000	14	27	41	0	0	78	41	34	4	181	789	727	776	28	131	41	0	40	1	0	0.00%	1	0	100.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
27	Tucson Roadrunners	3	0	3	0	0	0	0	0	4	27	-23	2	0	2	0	0	0	0	0	3	16	-13	1	0	1	0	0	0	0	0	1	11	-10	0	0.000	4	8	12	0	0	78	41	34	4	86	789	727	776	28	233	90	2	32	4	0	0.00%	1	0	100.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
28	Wilkes-Barre/Scranton Penguins	1	0	1	0	0	0	0	0	0	10	-10	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	10	-10	0	0.000	0	0	0	0	0	78	41	34	4	13	789	727	776	28	95	27	2	12	0	0	0%	1	0	100.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
	Total	56	3	48	0	3	1	1	0	157	485	-328	26	2	22	0	2	0	0	0	76	216	-140	30	1	26	0	1	1	1	0	81	269	-188	15	0.134	157	299	456	2	0	78	41	34	4	2317	789	727	776	28	5179	1498	57	879	62	9	14.52%	27	9	66.67%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
	_Since Last GM Reset	56	3	48	0	3	1	1	0	157	485	-328	26	2	22	0	2	0	0	0	76	216	-140	30	1	26	0	1	1	1	0	81	269	-188	15	0.134	157	299	456	2	0	78	41	34	4	2317	789	727	776	28	5179	1498	57	879	62	9	14.52%	27	9	66.67%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
	_Vs Conference	34	1	31	0	1	1	0	0	82	295	-213	17	1	16	0	0	0	0	0	44	144	-100	17	0	15	0	1	1	0	0	38	151	-113	5	0.074	82	156	238	1	0	78	41	34	4	1292	789	727	776	28	3094	901	25	522	41	6	14.63%	12	5	58.33%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241
	_Vs Division	20	1	12	0	0	1	0	0	43	163	-120	10	1	6	0	0	0	0	0	26	76	-50	10	0	6	0	0	1	0	0	17	87	-70	3	0.075	43	83	126	1	0	78	41	34	4	781	789	727	776	28	1654	496	20	302	27	3	11.11%	5	2	60.00%	0	584	1636	35.70%	840	2709	31.01%	394	1131	34.84%	762	506	1992	386	618	241

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
56	15	L5	157	299	456	2317	5179	1498	57	879	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
56	3	48	3	1	1	0	157	485

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	2	22	2	0	0	0	76	216

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	1	26	1	1	1	0	81	269

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	9	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
62	9	14.52%	27	9	66.67%	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
789	727	776	28	78	41	34	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
584	1636	35.70%	840	2709	31.01%	394	1131	34.84%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
762	506	1992	386	618	241

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	OT	SO	Link
5	18	Cleveland Monsters	12	Iowa Wild	4	L			BoxScore
7	33	Coachella Valley Firebirds	11	Iowa Wild	4	L			BoxScore
8	38	Iowa Wild	3	Manitoba Moose	10	L			BoxScore
10	52	Iowa Wild	0	Springfield Thunderbirds	11	L			BoxScore
14	83	Iowa Wild	3	Cleveland Monsters	11	L			BoxScore
17	93	Iowa Wild	2	Charlotte Checkers	10	L			BoxScore
19	112	Iowa Wild	8	Syracuse Crunch	7	W	X	X	BoxScore
21	123	Iowa Wild	6	Lehigh Valley Phantoms	8	L			BoxScore
24	153	Iowa Wild	0	Wilkes-Barre/Scranton Penguins	10	L			BoxScore
27	172	Syracuse Crunch	4	Iowa Wild	5	W	X		BoxScore
29	189	Toronto Marlies	3	Iowa Wild	7	W			BoxScore
31	200	Ontario Reign	12	Iowa Wild	1	L			BoxScore
33	219	Iowa Wild	0	San Jose Barracuda	10	L			BoxScore
34	222	Iowa Wild	6	San Diego Gulls	9	L			BoxScore
36	237	Iowa Wild	2	Rockford IceHogs	4	L			BoxScore
40	263	Laval Rocket	11	Iowa Wild	3	L			BoxScore
42	281	Texas Stars	10	Iowa Wild	2	L			BoxScore
45	296	Iowa Wild	1	Springfield Thunderbirds	11	L			BoxScore
47	315	Iowa Wild	3	Bakersfield Condors	13	L			BoxScore
49	319	Iowa Wild	1	Calgary Wranglers	10	L			BoxScore
51	342	Manitoba Moose	4	Iowa Wild	2	L			BoxScore
53	347	Iowa Wild	4	Rochester Americans	12	L			BoxScore
55	363	Rockford IceHogs	10	Iowa Wild	0	L			BoxScore
56	384	Milwaukee Admirals	5	Iowa Wild	9	W			BoxScore
59	402	Abbotsford Canucks	7	Iowa Wild	2	L			BoxScore
62	424	Iowa Wild	6	San Diego Gulls	5	W	X		BoxScore
63	434	Iowa Wild	2	Ontario Reign	12	L			BoxScore
66	454	Iowa Wild	1	Tucson Roadrunners	11	L			BoxScore
68	467	Bakersfield Condors	9	Iowa Wild	3	L			BoxScore
70	476	Lehigh Valley Phantoms	7	Iowa Wild	8	W	X		BoxScore
71	493	Henderson Silver Knights	9	Iowa Wild	2	L			BoxScore
74	509	Charlotte Checkers	10	Iowa Wild	1	L			BoxScore
76	526	Tucson Roadrunners	6	Iowa Wild	0	L			BoxScore
77	536	Iowa Wild	2	Manitoba Moose	12	L			BoxScore
79	554	Rockford IceHogs	11	Iowa Wild	3	L			BoxScore
83	563	Iowa Wild	1	Texas Stars	7	L			BoxScore
85	583	Belleville Senators	11	Iowa Wild	1	L			BoxScore
87	596	Milwaukee Admirals	6	Iowa Wild	4	L			BoxScore
89	605	Iowa Wild	1	Hershey Bears	10	L			BoxScore
91	624	Iowa Wild	1	Chicago Wolves	11	L			BoxScore
94	646	Springfield Thunderbirds	9	Iowa Wild	0	L			BoxScore
96	662	Colorado Eagles	5	Iowa Wild	3	L			BoxScore
98	683	Iowa Wild	2	San Jose Barracuda	8	L			BoxScore
99	688	Iowa Wild	1	Henderson Silver Knights	8	L			BoxScore
102	706	Bakersfield Condors	9	Iowa Wild	1	L			BoxScore
105	733	Iowa Wild	5	Milwaukee Admirals	6	L	X		BoxScore
107	741	Iowa Wild	1	Colorado Eagles	5	L			BoxScore
110	766	Tucson Roadrunners	10	Iowa Wild	3	L			BoxScore
112	784	Calgary Wranglers	10	Iowa Wild	2	L			BoxScore
113	792	Iowa Wild	1	Rockford IceHogs	10	L			BoxScore
116	807	Iowa Wild	7	Toronto Marlies	5	W			BoxScore
117	813	Iowa Wild	2	Laval Rocket	9	L			BoxScore
119	828	Iowa Wild	3	Belleville Senators	6	L			BoxScore
122	845	Iowa Wild	6	Providence Bruins	8	L			BoxScore
124	867	Chicago Wolves	10	Iowa Wild	3	L			BoxScore
126	886	Bridgeport Islanders	5	Iowa Wild	3	L			BoxScore
140	894	Iowa Wild	-	Grand Rapids Griffins	-
143	928	Grand Rapids Griffins	-	Iowa Wild	-
145	942	Iowa Wild	-	Tucson Roadrunners	-
146	947	Iowa Wild	-	Colorado Eagles	-
148	962	Providence Bruins	-	Iowa Wild	-
150	982	Iowa Wild	-	Coachella Valley Firebirds	-
153	1000	Iowa Wild	-	Abbotsford Canucks	-
155	1015	Wilkes-Barre/Scranton Penguins	-	Iowa Wild	-
Trade Deadline --- Trades can’t be done after this day is simulated!
157	1030	Colorado Eagles	-	Iowa Wild	-
159	1046	Hartford Wolf Pack	-	Iowa Wild	-
161	1063	Springfield Thunderbirds	-	Iowa Wild	-
163	1077	Ontario Reign	-	Iowa Wild	-
165	1088	Coachella Valley Firebirds	-	Iowa Wild	-
168	1106	Rochester Americans	-	Iowa Wild	-
170	1127	Iowa Wild	-	Texas Stars	-
171	1134	Henderson Silver Knights	-	Iowa Wild	-
173	1148	Hershey Bears	-	Iowa Wild	-
175	1162	Utica Comets	-	Iowa Wild	-
177	1178	Iowa Wild	-	Utica Comets	-
179	1192	Iowa Wild	-	Hartford Wolf Pack	-
181	1208	Iowa Wild	-	Bridgeport Islanders	-
183	1223	Texas Stars	-	Iowa Wild	-
186	1247	San Jose Barracuda	-	Iowa Wild	-
188	1264	Iowa Wild	-	Calgary Wranglers	-
189	1273	Iowa Wild	-	Abbotsford Canucks	-
192	1298	San Diego Gulls	-	Iowa Wild	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
15	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
53,622$	73,326$	73,326$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
378$	53,622$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	55	378$	20,790$

Iowa Wild 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

Iowa Wild 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

Iowa Wild 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

Iowa Wild 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

Iowa Wild 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

	Iowa Wild
	GP: 56 \| W: 7 \| L: 48 \| OTL: 1 \| P: 15 GF: 157 \| GA: 485 \| PP%: 14.52% \| PK%: 66.67% GM : Tom Jervis \| Morale : 40 \| Team Overall : 61 Next Games #894 vs Grand Rapids Griffins