Winnipeg Jets
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Texas Stars 8-5-1, 17pts	5	FINAL	3	Manitoba Moose 3-11-0, 6pts

Team Stats
W2	Streak	L2
5-2-0	Home Record	1-6-0
3-3-1	Home Record	2-5-0
6-4-0	Last 10 Games	3-7-0
4.29	Goals Per Game	3.43
4.29	Goals Against Per Game	5.00
29.55%	Power Play Percentage	23.40%
75.68%	Penalty Kill Percentage	61.36%

Manitoba Moose
3-11-0, 6pts

FINAL

Iowa Wild
10-3-1, 21pts

Team Stats
L2	Streak	W4
1-6-0	Home Record	5-2-0
2-5-0	Home Record	5-1-1
3-7-0	Last 10 Games	9-0-1
3.43	Goals Per Game	5.14
5.00	Goals Against Per Game	3.71
23.40%	Power Play Percentage	31.37%
61.36%	Penalty Kill Percentage	79.07%

Team Leaders
	Goals Fabian Wagner 6	Assists David Gustafsson 10

	Points David Gustafsson 15	Plus/Minus Kristian Vesalainen 1

	Wins Collin Delia 3	Save Percentage Oskari Salminen 0.935

Team Stats
Goals For 48 3.43 GFG	Shots For 569 40.64 Avg	Power Play Percentage 23.4% 11 GF	Offensive Zone Start 40.9%
Goals Against 70 5.00 GAA	Shots Against 580 41.43 Avg	Penalty Kill Percentage 61.4%% 17 GA	Defensive Zone Start 40.9%

Team Info
	General Manager	Mirko
	Coach	Mark Morrison
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,747
	Season Tickets	0
Roster Info
	Pro Team	30
	Farm Team	18
	Contract Limit	48 / 70
	Prospects	10

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 Average
1	Rasmus Kupari	0	X				100.00	72	41	85	70	76	60	75	60	75	70	60	69	54	57	57	0	35	66	0	24	3	1,100,000$
2	Axel Jonsson-Fjallby	0		X	X		100.00	67	47	81	64	69	61	65	60	53	67	62	70	55	58	57	0	35	64	0	26	1	775,000$
3	David Gustafsson	0	X				100.00	66	45	83	63	78	60	64	57	72	67	57	71	55	56	56	0	35	63	0	24	3	1,000,000$
4	Dominic Toninato	0	X				100.00	59	53	73	61	68	61	67	59	68	60	61	66	54	65	59	0	35	62	0	30	1	800,000$
5	Nicholas Jones	0	X				100.00	60	38	82	59	68	79	88	55	68	61	57	56	59	66	68	0	35	62	0	28	1	775,000$
6	Jeff Malott	0	X	X	X		100.00	56	58	63	63	67	67	65	61	55	58	62	61	55	63	58	0	35	61	0	28	1	775,000$
7	Jeffrey Viel	0		X	X		100.00	66	67	58	60	71	63	64	58	54	59	59	63	54	60	57	0	35	61	0	27	1	775,000$
8	Fabian Wagner (R)	0	X	X	X		100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	28	60	0	20	1	775,000$
9	Colby Barlow (R)	0		X	X		100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	36	60	0	19	1	775,000$
10	Kristian Vesalainen	0	X				100.00	63	38	87	59	73	53	66	53	48	61	56	65	51	53	55	0	35	59	0	25	1	775,000$
11	Cj Suess	0		X	X		100.00	56	45	50	62	73	63	58	52	57	58	54	61	54	58	58	0	35	58	0	30	1	775,000$
12	Kristian Reichel	0	X				100.00	55	57	67	59	62	64	63	57	55	56	56	60	55	60	56	0	35	58	0	26	1	775,000$
13	Kyle Capobianco	0				X	100.00	65	40	78	58	77	68	63	55	40	68	61	75	54	56	58	0	35	65	0	27	1	775,000$
14	Elias Salomonsson (R)	0				X	100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	36	60	0	20	1	775,000$
15	Ville Heinola	0				X	100.00	56	53	68	60	62	63	61	59	40	61	55	65	54	55	53	0	35	60	0	23	1	775,000$
16	Ashton Sautner	0				X	100.00	55	55	65	58	64	65	64	56	40	56	55	62	54	67	60	0	35	59	0	30	1	775,000$
17	Artemi Knyazev	0				X	100.00	55	55	65	61	60	66	64	59	40	58	56	59	54	55	53	0	35	59	0	23	1	775,000$
18	Dean Stewart	0				X	100.00	55	54	67	57	66	64	62	56	40	56	54	60	54	60	56	0	35	58	0	26	1	775,000$
Scratches
1	Henri Nikkanen	0	X				100.00	55	55	67	56	69	63	62	56	70	55	55	60	54	55	53	0	26	58	0	23	1	775,000$
2	Daniel Torgersson	0	X	X	X		100.00	55	54	67	58	67	63	62	56	55	55	57	59	54	53	52	0	26	58	0	22	1	775,000$
3	Wyatt Bongiovanni	0	X				100.00	55	56	67	57	63	62	60	56	70	55	58	59	54	58	55	0	26	58	0	25	1	775,000$
4	Parker Ford	0	X				100.00	52	52	65	52	55	52	52	52	52	51	52	58	51	54	51	0	26	53	0	24	1	775,000$
5	Chaz Lucius	0	X				100.00	52	51	65	52	59	53	53	52	67	52	52	57	51	49	48	0	26	53	0	21	1	775,000$
6	Brad Lambert	0		X	X		100.00	52	51	64	52	58	54	53	51	52	51	52	55	54	49	48	0	26	53	0	21	1	775,000$
7	Simon Lundmark	0				X	100.00	54	55	67	57	66	65	64	57	40	57	55	61	54	56	54	0	26	58	0	24	1	775,000$
8	Jimmy Oligny	0				X	100.00	57	54	65	56	62	60	59	55	40	55	54	60	54	69	61	0	26	57	0	31	1	775,000$
9	Tyrel Bauer	0				X	100.00	55	52	58	53	65	60	60	52	38	52	52	57	51	51	49	0	26	55	0	22	1	775,000$

	TEAM AVERAGE						100.00	58	52	68	59	66	62	63	56	54	58	57	62	55	58	56	0	32	59

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 Average
1	Collin Delia	0	100.00	63	62	64	72	68	61	70	62	69	60	72	63	58	0	23	65	0	30	1	775,000$
2	Oskari Salminen	0	100.00	58	62	62	68	65	56	64	61	54	57	58	55	51	0	38	60	0	25	1	775,000$
Scratches
1	Domenic DiVincentiis (R)	0	100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	0	33	60	0	20	1	775,000$

	TEAM AVERAGE		100.00	60	61	62	67	64	59	65	61	61	59	63	59	56	0	31	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mark Morrison	66	69	66	68	89	84	58	CAN	59	7	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	PKS	PKM	GW	GT	FO%	FOT	P/20	FW	FL	FT	S1	S2	S3
1	David Gustafsson	Manitoba Moose (WPG)	C	14	5	10	15	-6	14	0	11	62	56	20	39	8.93%	11	286	20.47	1	4	5	10	33	1	28	2	0	52.13%	399	1.05	0	0	0	1	1	0
2	Axel Jonsson-Fjallby	Manitoba Moose (WPG)	LW/RW	14	4	9	13	-7	2	0	17	38	56	20	50	7.14%	7	316	22.64	0	3	3	6	35	3	30	0	0	32.00%	25	0.82	0	0	0	0	0	0
3	Rasmus Kupari	Manitoba Moose (WPG)	C	14	4	8	12	-7	8	0	16	49	65	17	37	6.15%	1	313	22.37	2	2	4	13	35	0	26	0	0	58.64%	428	0.77	0	0	0	0	0	0
4	Ashton Sautner	Manitoba Moose (WPG)	D	14	1	10	11	-5	4	0	25	19	22	9	8	4.55%	24	226	16.19	0	0	0	3	3	0	4	0	0	0%	0	0.97	0	0	0	0	0	0
5	Kyle Capobianco	Manitoba Moose (WPG)	D	14	2	9	11	-5	6	0	18	29	27	12	18	7.41%	19	323	23.12	2	4	6	11	36	0	30	0	0	0%	0	0.68	0	0	0	0	0	0
6	Cj Suess	Manitoba Moose (WPG)	LW/RW	14	3	7	10	-4	2	0	24	19	41	7	25	7.32%	2	222	15.87	0	0	0	0	1	0	1	0	0	36.84%	19	0.90	0	0	0	0	0	1
7	Fabian Wagner	Manitoba Moose (WPG)	C/LW/RW	14	6	3	9	-4	23	5	19	20	56	7	32	10.71%	1	217	15.51	0	0	0	0	0	0	0	0	0	45.45%	22	0.83	0	1	0	1	2	0
8	Colby Barlow	Manitoba Moose (WPG)	LW/RW	14	3	6	9	-7	9	5	26	15	42	10	33	7.14%	0	255	18.24	0	2	2	5	32	0	0	0	0	56.52%	23	0.70	0	0	1	0	0	1
9	Jeffrey Viel	Manitoba Moose (WPG)	LW/RW	14	3	5	8	-7	26	10	37	14	32	10	23	9.38%	3	223	15.96	1	2	3	8	35	0	0	0	0	42.11%	19	0.72	1	0	1	0	1	0
10	Nicholas Jones	Manitoba Moose (WPG)	C	14	2	6	8	-2	0	0	13	40	39	9	15	5.13%	3	255	18.28	0	0	0	0	0	0	31	0	0	52.43%	288	0.63	0	0	0	1	0	0
11	Jeff Malott	Manitoba Moose (WPG)	C/LW/RW	14	6	1	7	-7	8	0	28	20	54	13	36	11.11%	1	260	18.58	2	0	2	9	34	0	0	0	1	40.00%	10	0.54	0	0	0	1	1	0
12	Ville Heinola	Manitoba Moose (WPG)	D	14	3	4	7	-6	6	0	29	23	24	7	21	12.50%	22	289	20.65	2	0	2	13	34	1	29	0	0	0%	0	0.48	0	0	0	0	0	0
13	Artemi Knyazev	Manitoba Moose (WPG)	D	14	1	6	7	-7	10	0	17	17	19	10	24	5.26%	27	287	20.57	0	3	3	11	34	0	26	0	0	0%	0	0.49	0	0	0	0	0	0
14	Elias Salomonsson	Manitoba Moose (WPG)	D	14	3	3	6	-6	13	5	23	13	15	6	17	20.00%	13	319	22.82	1	1	2	4	35	1	29	0	0	0%	0	0.38	0	0	1	0	0	0
15	Dean Stewart	Manitoba Moose (WPG)	D	14	1	3	4	-5	8	0	11	9	8	5	8	12.50%	11	230	16.45	0	0	0	0	1	0	11	0	0	0%	0	0.35	0	0	0	0	0	0
16	Kristian Reichel	Manitoba Moose (WPG)	C	14	0	1	1	1	0	0	1	0	1	2	2	0%	1	8	0.64	0	0	0	1	3	0	0	0	0	0%	1	2.24	0	0	0	0	0	0
17	Kristian Vesalainen	Manitoba Moose (WPG)	C	14	1	0	1	1	0	0	0	0	4	3	4	25.00%	0	17	1.25	0	0	0	3	5	0	0	1	0	36.36%	11	1.14	0	0	0	0	0	0
18	Dominic Toninato	Manitoba Moose (WPG)	C	14	0	0	0	-1	0	0	0	14	8	3	8	0%	3	72	5.20	0	0	0	0	0	0	12	0	0	59.41%	101	0	0	0	0	0	0	0
Team Total or Average				252	48	91	139	-84	139	25	315	401	569	170	400	8.44%	149	4127	16.38	11	21	32	97	364	6	263	3	1	53.79%	1346	0.67	1	1	3	4	5	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	PCT	GAA	MP	PIM	GA	SA	EG	PS %	ST	BG
1	Collin Delia	Manitoba Moose (WPG)	14	3	10	0.874	5.34	731	2	65	517	1	0	14	0
2	Oskari Salminen	Manitoba Moose (WPG)	3	0	1	0.935	2.22	108	0	4	62	0	0	0	14
Team Total or Average			17	3	11	0.881	4.93	839	2	69	579	1		14	14

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	Force UFA	Emergency Recall	Type	Current Salary	Salary Average	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
Artemi Knyazev	Manitoba Moose (WPG)	D	23	04.01.2001	No	82 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ashton Sautner	Manitoba Moose (WPG)	D	30	27.05.1994	No	88 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Axel Jonsson-Fjallby	Manitoba Moose (WPG)	LW/RW	26	10.02.1998	No	86 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Brad Lambert	Manitoba Moose (WPG)	LW/RW	21	19.12.2003	No	83 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Chaz Lucius	Manitoba Moose (WPG)	C	21	02.05.2003	No	84 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Cj Suess	Manitoba Moose (WPG)	LW/RW	30	17.03.1994	No	86 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Colby Barlow	Manitoba Moose (WPG)	LW/RW	19	14.02.2005	Yes	88 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Collin Delia	Manitoba Moose (WPG)	G	30	20.06.1994	No	95 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Daniel Torgersson	Manitoba Moose (WPG)	C/LW/RW	22	26.01.2002	No	93 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
David Gustafsson	Manitoba Moose (WPG)	C	24	11.04.2000	No	96 Kg	188 CM	No	No	N/A	No	No	3	False	False	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Dean Stewart	Manitoba Moose (WPG)	D	26	12.06.1998	No	91 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Domenic DiVincentiis	Manitoba Moose (WPG)	G	20	04.03.2004	Yes	83 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dominic Toninato	Manitoba Moose (WPG)	C	30	09.03.1994	No	91 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	800,000$	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Elias Salomonsson	Manitoba Moose (WPG)	D	20	31.08.2004	Yes	84 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Fabian Wagner	Manitoba Moose (WPG)	C/LW/RW	20	07.05.2004	Yes	80 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Henri Nikkanen	Manitoba Moose (WPG)	C	23	28.04.2001	No	95 Kg	193 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jeff Malott	Manitoba Moose (WPG)	C/LW/RW	28	07.08.1996	No	91 Kg	193 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jeffrey Viel	Manitoba Moose (WPG)	LW/RW	27	28.01.1997	No	93 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jimmy Oligny	Manitoba Moose (WPG)	D	31	30.04.1993	No	88 Kg	178 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kristian Reichel	Manitoba Moose (WPG)	C	26	11.06.1998	No	87 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kristian Vesalainen	Manitoba Moose (WPG)	C	25	01.06.1999	No	94 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kyle Capobianco	Manitoba Moose (WPG)	D	27	13.08.1997	No	91 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Nicholas Jones	Manitoba Moose (WPG)	C	28	02.06.1996	No	80 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Oskari Salminen	Manitoba Moose (WPG)	G	25	22.09.1999	No	91 Kg	193 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Parker Ford	Manitoba Moose (WPG)	C	24	20.07.2000	No	82 Kg	175 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Rasmus Kupari	Manitoba Moose (WPG)	C	24	15.03.2000	No	91 Kg	188 CM	No	No	N/A	No	No	3	False	False	Pro & Farm	1,100,000$	1,100,000$	0$	0$	No	1,100,000$	1,100,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Simon Lundmark	Manitoba Moose (WPG)	D	24	08.10.2000	No	91 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tyrel Bauer	Manitoba Moose (WPG)	D	22	23.03.2002	No	94 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ville Heinola	Manitoba Moose (WPG)	D	23	02.03.2001	No	84 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Wyatt Bongiovanni	Manitoba Moose (WPG)	C	25	24.07.1999	No	88 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
30	24.80	89 Kg	185 CM	1.13	794,167$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Axel Jonsson-Fjallby	Rasmus Kupari	Jeffrey Viel	33	1	2	2
2	Jeff Malott	David Gustafsson	Colby Barlow	30	1	2	2
3	Fabian Wagner	Nicholas Jones	Cj Suess	25	1	2	2
4	Rasmus Kupari	Dominic Toninato	Axel Jonsson-Fjallby	12	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kyle Capobianco	Elias Salomonsson	33	1	2	2
2	Ville Heinola	Artemi Knyazev	30	1	2	2
3	Ashton Sautner	Dean Stewart	25	1	2	2
4	Kyle Capobianco	Elias Salomonsson	12	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Axel Jonsson-Fjallby	Rasmus Kupari	Jeffrey Viel	50	1	2	2
2	Jeff Malott	David Gustafsson	Colby Barlow	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kyle Capobianco	Elias Salomonsson	50	1	2	2
2	Ville Heinola	Artemi Knyazev	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Rasmus Kupari	Axel Jonsson-Fjallby	50	1	2	2
2	David Gustafsson	Nicholas Jones	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kyle Capobianco	Elias Salomonsson	50	1	2	2
2	Ville Heinola	Artemi Knyazev	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Rasmus Kupari	50	1	2	2	Kyle Capobianco	Elias Salomonsson	50	1	2	2
2	Axel Jonsson-Fjallby	50	1	2	2	Ville Heinola	Artemi Knyazev	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Rasmus Kupari	Axel Jonsson-Fjallby	50	1	2	2
2	David Gustafsson	Nicholas Jones	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kyle Capobianco	Elias Salomonsson	50	1	2	2
2	Ville Heinola	Artemi Knyazev	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Axel Jonsson-Fjallby	Rasmus Kupari	Jeffrey Viel	Kyle Capobianco	Elias Salomonsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Axel Jonsson-Fjallby	Rasmus Kupari	Jeffrey Viel	Kyle Capobianco	Elias Salomonsson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Kristian Vesalainen, Kristian Reichel, Dominic Toninato	Kristian Vesalainen, Kristian Reichel	Dominic Toninato

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ashton Sautner, Dean Stewart, Ville Heinola	Ashton Sautner	Dean Stewart, Ville Heinola

Penalty Shots
Rasmus Kupari, Axel Jonsson-Fjallby, David Gustafsson, Nicholas Jones, Dominic Toninato

Goalie
#1 : Collin Delia, #2 : Oskari Salminen

Custom OT Lines Forwards
Rasmus Kupari, Axel Jonsson-Fjallby, David Gustafsson, Nicholas Jones, Dominic Toninato, Jeffrey Viel, Jeffrey Viel, Jeff Malott, Colby Barlow, Fabian Wagner, Kristian Vesalainen

Custom OT Lines Defensemen
Kyle Capobianco, Elias Salomonsson, Ville Heinola, Artemi Knyazev, Ashton Sautner

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	Chicago Wolves	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	5	9	14	0	0	15	23	9	1	78	180	211	177	1	83	22	30	40	8	1	12.50%	9	3	66.67%	0	307	551	55.72%	292	550	53.09%	125	245	51.02%	328	220	318	109	194	96
2	Colorado Eagles	2	1	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	5	3	2	2	0.500	8	15	23	0	0	15	23	9	1	79	180	211	177	1	85	21	38	41	4	1	25.00%	6	1	83.33%	0	307	551	55.72%	292	550	53.09%	125	245	51.02%	328	220	318	109	194	96
3	Grand Rapids Griffins	2	0	2	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	5	10	15	0	0	15	23	9	1	94	180	211	177	1	81	18	8	38	10	1	10.00%	4	3	25.00%	0	307	551	55.72%	292	550	53.09%	125	245	51.02%	328	220	318	109	194	96
4	Iowa Wild	2	0	2	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	6	12	18	1	0	15	23	9	1	77	180	211	177	1	98	34	16	42	11	3	27.27%	8	3	62.50%	0	307	551	55.72%	292	550	53.09%	125	245	51.02%	328	220	318	109	194	96
5	Milwaukee Admirals	2	1	0	0	1	0	0	0	10	7	3	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	1	0	0	0	5	4	1	4	1.000	10	20	30	0	0	15	23	9	1	92	180	211	177	1	75	23	14	45	5	2	40.00%	7	2	71.43%	0	307	551	55.72%	292	550	53.09%	125	245	51.02%	328	220	318	109	194	96
6	Rockford IceHogs	2	0	2	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	6	11	17	0	0	15	23	9	1	83	180	211	177	1	88	19	8	54	4	1	25.00%	4	3	25.00%	0	307	551	55.72%	292	550	53.09%	125	245	51.02%	328	220	318	109	194	96
7	Texas Stars	2	0	2	0	0	0	0	0	8	11	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	8	14	22	0	0	15	23	9	1	66	180	211	177	1	70	12	27	55	5	2	40.00%	6	2	66.67%	0	307	551	55.72%	292	550	53.09%	125	245	51.02%	328	220	318	109	194	96
	Total	14	2	11	0	1	0	0	0	48	70	-22	7	1	6	0	0	0	0	0	24	34	-10	7	1	5	0	1	0	0	0	24	36	-12	6	0.214	48	91	139	1	0	15	23	9	1	569	180	211	177	1	580	149	141	315	47	11	23.40%	44	17	61.36%	0	307	551	55.72%	292	550	53.09%	125	245	51.02%	328	220	318	109	194	96
	_Since Last GM Reset	14	2	11	0	1	0	0	0	48	70	-22	7	1	6	0	0	0	0	0	24	34	-10	7	1	5	0	1	0	0	0	24	36	-12	6	0.214	48	91	139	1	0	15	23	9	1	569	180	211	177	1	580	149	141	315	47	11	23.40%	44	17	61.36%	0	307	551	55.72%	292	550	53.09%	125	245	51.02%	328	220	318	109	194	96
	_Vs Conference	14	2	11	0	1	0	0	0	48	70	-22	7	1	6	0	0	0	0	0	24	34	-10	7	1	5	0	1	0	0	0	24	36	-12	6	0.214	48	91	139	1	0	15	23	9	1	569	180	211	177	1	580	149	141	315	47	11	23.40%	44	17	61.36%	0	307	551	55.72%	292	550	53.09%	125	245	51.02%	328	220	318	109	194	96
	_Vs Division	10	2	11	0	1	0	0	0	38	48	-10	5	1	6	0	0	0	0	0	19	24	-5	5	1	5	0	1	0	0	0	19	24	-5	6	0.300	38	72	110	1	0	15	23	9	1	397	180	211	177	1	416	109	103	237	29	9	31.03%	31	11	64.52%	0	307	551	55.72%	292	550	53.09%	125	245	51.02%	328	220	318	109	194	96

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
14	6	L2	48	91	139	569	580	149	141	315	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	2	11	1	0	0	0	48	70

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	1	6	0	0	0	0	24	34

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	1	5	1	0	0	0	24	36

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	7	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
47	11	23.40%	44	17	61.36%	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
180	211	177	1	15	23	9	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
307	551	55.72%	292	550	53.09%	125	245	51.02%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
328	220	318	109	194	96

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	Link
1	2	Grand Rapids Griffins	6	Manitoba Moose	2	L		BoxScore
5	36	Rockford IceHogs	4	Manitoba Moose	3	L		BoxScore
6	50	Manitoba Moose	3	Rockford IceHogs	8	L		BoxScore
8	67	Iowa Wild	7	Manitoba Moose	5	L		BoxScore
11	90	Colorado Eagles	5	Manitoba Moose	3	L		BoxScore
13	104	Manitoba Moose	5	Milwaukee Admirals	4	W	X	BoxScore
15	121	Manitoba Moose	3	Grand Rapids Griffins	6	L		BoxScore
17	135	Milwaukee Admirals	3	Manitoba Moose	5	W		BoxScore
21	161	Chicago Wolves	4	Manitoba Moose	3	L		BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
22	174	Manitoba Moose	5	Texas Stars	6	L		BoxScore
24	187	Manitoba Moose	2	Chicago Wolves	6	L		BoxScore
25	194	Manitoba Moose	5	Colorado Eagles	3	W		BoxScore
27	205	Texas Stars	5	Manitoba Moose	3	L		BoxScore
28	218	Manitoba Moose	1	Iowa Wild	3	L		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	12,771	6,461
Attendance PCT	91.22%	92.30%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2747 - 91.58%	77,700$	543,900$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,882,490$	2,382,500$	2,382,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
79,417$	2,382,510$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	96,083$	0$

Manitoba Moose 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

Manitoba Moose 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

Manitoba Moose 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

Manitoba Moose 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

Manitoba Moose 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

	Manitoba Moose
	GP: 14 \| W: 3 \| L: 11 \| OTL: 0 \| P: 6 GF: 48 \| GA: 70 \| PP%: 23.40% \| PK%: 61.36% GM : Mirko \| Morale : 31 \| Team Overall : 59