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

Game Center
	Grand Rapids Griffins 2-4-0, 4pts	4	FINAL	3	Manitoba Moose 4-2-0, 8pts

Team Stats
L1	Streak	W1
0-3-0	Home Record	1-2-0
2-1-0	Home Record	3-0-0
2-4-0	Last 10 Games	4-1-1
2.83	Goals Per Game	3.17
3.17	Goals Against Per Game	2.83
12.50%	Power Play Percentage	25.00%
75.00%	Penalty Kill Percentage	87.50%

Manitoba Moose
4-2-0, 8pts

FINAL

Grand Rapids Griffins
2-4-0, 4pts

Team Stats
W1	Streak	L1
1-2-0	Home Record	0-3-0
3-0-0	Home Record	2-1-0
4-1-1	Last 10 Games	2-4-0
3.17	Goals Per Game	2.83
2.83	Goals Against Per Game	3.17
25.00%	Power Play Percentage	12.50%
87.50%	Penalty Kill Percentage	75.00%

Team Leaders
	Goals Reese Johnson 4	Assists Reese Johnson 4

	Points Reese Johnson 8	Plus/Minus Reese Johnson 4

	Wins Arturs Silovs 4	Save Percentage Arturs Silovs 0.923

Team Stats
Goals For 19 3.17 GFG	Shots For 165 27.50 Avg	Power Play Percentage 25.0% 4 GF	Offensive Zone Start 35.6%
Goals Against 17 2.83 GAA	Shots Against 220 36.67 Avg	Penalty Kill Percentage 87.5%% 2 GA	Defensive Zone Start 42.7%

Team Info
	General Manager	Louis-Philip Lafrance
	Division	Central
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	8,000
	Attendance	7,976
	Season Tickets	0
Roster Info
	Pro Team	18
	Farm Team	20
	Contract Limit	38 / 45
	Prospects	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

#	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	Reese Johnson	0	X				100.00	83	68	86	62	74	61	72	57	78	68	60	75	54	56	58	0	60	66	0	25	2	800,000$
2	Denis Malgin	76	X	X	X		100.00	70	38	86	68	71	58	68	59	51	67	66	67	51	59	55	0	60	65	0	27	1	750,000$
3	Ryan Carpenter	51	X		X		100.00	67	59	75	62	72	63	71	59	67	64	60	68	54	68	61	0	60	64	0	33	1	750,000$
4	Colton Sceviour	24	X				100.00	69	67	86	64	68	55	70	54	62	63	56	71	56	67	56	0	60	62	0	35	1	750,000$
5	Nate Thompson	72	X	X			100.00	62	58	73	57	70	61	63	55	74	58	55	63	54	84	69	0	60	60	0	39	1	750,000$
6	Adam Sykora	77	X	X			100.00	51	51	65	51	54	51	51	51	52	51	51	57	51	48	48	0	60	52	0	19	1	750,000$
7	Alexander Perevalov (R)	78		X			100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	20	4	750,000$
8	Jiri Smejkal	0		X			100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	25	1	750,000$
9	Zach Bogosian	9				X	100.00	75	49	79	71	85	71	77	57	40	69	58	79	68	79	68	0	60	69	0	33	2	850,000$
10	Radim Simek	43				X	100.00	76	58	81	82	82	69	73	55	40	67	57	85	54	60	58	0	60	69	0	31	2	2,250,000$
11	Robert Bortuzzo	7				X	100.00	70	66	79	66	82	66	80	56	40	68	59	86	54	71	59	0	60	68	0	35	2	950,000$
12	Riley Stillman	44				X	100.00	71	74	85	67	76	70	74	59	40	71	58	79	54	58	58	0	60	68	0	26	2	1,350,000$
13	Chris Wideman	64				X	100.00	64	65	73	65	72	68	74	59	40	72	57	72	54	63	59	0	60	65	0	34	2	762,500$
14	Jordie Benn	8				X	100.00	64	46	72	62	70	65	64	56	40	63	56	72	56	77	63	0	60	63	0	36	1	750,000$
15	David Spacek (R)	80				X	100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	21	4	750,000$
16	Valtteri Pulli	0				X	100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	25	1	750,000$
Scratches
1	Josh Brown	40				X	100.00	75	77	82	65	83	72	80	56	40	68	59	83	54	61	58	0	60	68	0	30	2	1,275,000$

	TEAM AVERAGE						100.00	63	56	71	60	67	59	65	54	50	61	55	67	53	61	56	0	60	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	Arturs Silovs	0	99.00	62	63	63	73	67	62	67	62	59	61	63	54	52	0	60	63	0	23	2	786,111$
Scratches

	TEAM AVERAGE		99.00	62	63	63	73	67	62	67	62	59	61	63	54	52	0	60	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Reese Johnson	Manitoba Moose (WPG)	C	6	4	4	8	4	0	20	26	21	6	11	19.05%	2	137	22.89	0	1	1	1	12	12	1	0	58.59%	128	1.16	2	2	1
2	Ryan Carpenter	Manitoba Moose (WPG)	C/RW	6	4	3	7	2	6	16	20	29	7	10	13.79%	4	123	20.50	0	0	0	6	13	2	2	0	58.52%	135	1.14	1	1	1
3	Denis Malgin	Manitoba Moose (WPG)	C/LW/RW	6	3	4	7	3	0	8	14	24	6	15	12.50%	2	108	18.00	1	1	2	1	12	3	0	1	40.00%	10	1.30	0	1	0
4	Robert Bortuzzo	Manitoba Moose (WPG)	D	6	2	4	6	0	2	18	11	15	4	9	13.33%	11	119	19.84	1	1	2	7	13	11	0	1	0%	0	1.01	1	0	0
5	Zach Bogosian	Manitoba Moose (WPG)	D	6	1	4	5	-2	0	10	8	8	1	4	12.50%	6	122	20.35	1	1	2	5	12	14	0	0	0%	0	0.82	0	0	0
6	Nate Thompson	Manitoba Moose (WPG)	C/LW	6	2	2	4	1	6	8	6	12	1	7	16.67%	0	118	19.76	1	0	1	4	13	0	1	0	80.00%	5	0.67	0	1	0
7	Radim Simek	Manitoba Moose (WPG)	D	6	1	3	4	-2	6	8	10	16	0	2	6.25%	8	119	19.87	0	2	2	8	12	11	0	0	0%	0	0.67	0	0	0
8	Jordie Benn	Manitoba Moose (WPG)	D	6	1	2	3	2	0	3	5	3	1	2	33.33%	1	43	7.26	0	0	0	0	0	0	0	0	0%	0	1.38	0	0	1
9	Riley Stillman	Manitoba Moose (WPG)	D	6	0	3	3	0	2	12	5	3	0	3	0%	10	83	13.86	0	0	0	0	0	4	0	0	0%	0	0.72	0	0	0
10	Chris Wideman	Manitoba Moose (WPG)	D	6	0	0	0	0	0	2	5	4	2	1	0%	1	79	13.33	0	0	0	0	0	0	0	0	0%	0	0	0	0	0
11	Alexander Perevalov	Manitoba Moose (WPG)	LW	6	0	0	0	-5	6	2	2	1	0	0	0%	0	104	17.36	0	0	0	0	0	0	0	0	0%	6	0	0	0	0
12	Colton Sceviour	Manitoba Moose (WPG)	C	6	0	0	0	-6	2	8	10	9	4	6	0%	2	83	13.84	0	0	0	0	0	0	0	0	52.94%	102	0	0	0	0
13	Adam Sykora	Manitoba Moose (WPG)	C/LW	6	0	0	0	-6	0	4	2	7	1	5	0%	2	94	15.82	0	0	0	0	0	11	0	0	55.56%	9	0	0	0	0
14	David Spacek	Manitoba Moose (WPG)	D	6	0	0	0	0	0	0	0	0	0	0	0%	0	1	0.33	0	0	0	0	0	0	0	0	0%	0	0	0	0	0
15	Valtteri Pulli	Manitoba Moose (WPG)	D	6	0	0	0	2	4	5	1	0	0	0	0%	1	43	7.26	0	0	0	0	0	0	0	0	0%	0	0	0	0	0
16	Jiri Smejkal	Manitoba Moose (WPG)	LW	6	0	0	0	1	0	2	0	0	0	0	0%	0	14	2.34	0	0	0	0	0	1	0	0	10.00%	10	0	0	0	0
Team Total or Average				96	18	29	47	-6	34	126	125	152	33	75	11.84%	50	1395	14.54	4	6	10	32	93	76	4	2	54.81%	405	0.67	4	5	3

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
1	Arturs Silovs	Manitoba Moose (WPG)	6	4	1	1	0.923	2.79	366	0	0	17	220	0	0	0	0	0	6	6	2	0	0
Team Total or Average			6	4	1	1	0.923	2.79	366	0	0	17	220	0	0	0		0	6	6	2	0	0

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	Type	Current Salary	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
Adam Sykora	Manitoba Moose (WPG)	C/LW	19	09/07/04	No	172 Lbs	5 ft10	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Alexander Perevalov	Manitoba Moose (WPG)	LW	20	04/16/04 3:28:58 AM	Yes	92 Lbs	6 ft0	No	No	N/A	No	No	4	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Arturs Silovs	Manitoba Moose (WPG)	G	23	03/22/01	No	203 Lbs	6 ft4	No	No	N/A	No	No	2	Pro & Farm	786,111$	0$	0$	No	786,111$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Chris Wideman	Manitoba Moose (WPG)	D	34	01/07/90	No	181 Lbs	5 ft10	No	No	N/A	No	No	2	Pro & Farm	762,500$	0$	0$	No	762,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Colton Sceviour	Manitoba Moose (WPG)	C	35	04/20/89	No	190 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
David Spacek	Manitoba Moose (WPG)	D	21	02/18/03 2:33:20 AM	Yes	174 Lbs	6 ft0	No	No	N/A	No	No	4	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Denis Malgin	Manitoba Moose (WPG)	C/LW/RW	27	01/18/97	No	182 Lbs	5 ft9	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jiri Smejkal	Manitoba Moose (WPG)	LW	25	08/16/98 5:03:31 AM	No	190 Lbs	5 ft10	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jordie Benn	Manitoba Moose (WPG)	D	36	07/26/87	No	201 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Josh Brown	Manitoba Moose (WPG)	D	30	01/21/94	No	220 Lbs	6 ft5	No	No	N/A	No	No	2	Pro & Farm	1,275,000$	0$	0$	No	1,275,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Nate Thompson	Manitoba Moose (WPG)	C/LW	39	10/05/84	No	205 Lbs	6 ft1	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Radim Simek (1 Way Contract)	Manitoba Moose (WPG)	D	31	09/20/92	No	204 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	2,250,000$	2,250,000$	321,429$	No	2,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Reese Johnson	Manitoba Moose (WPG)	C	25	07/10/98	No	193 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Riley Stillman	Manitoba Moose (WPG)	D	26	03/09/98	No	196 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	1,350,000$	0$	0$	No	1,350,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Robert Bortuzzo	Manitoba Moose (WPG)	D	35	03/18/89	No	216 Lbs	6 ft4	No	No	N/A	No	No	2	Pro & Farm	950,000$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Ryan Carpenter	Manitoba Moose (WPG)	C/RW	33	01/18/91	No	198 Lbs	6 ft1	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Valtteri Pulli	Manitoba Moose (WPG)	D	25	08/16/98 5:02:30 AM	No	190 Lbs	5 ft10	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Zach Bogosian	Manitoba Moose (WPG)	D	33	07/15/90	No	222 Lbs	6 ft2	No	No	N/A	No	No	2	Pro & Farm	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
18	28.72	191 Lbs	6 ft1	1.78	917,978$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Reese Johnson	Denis Malgin	30	1	2	2
2	Nate Thompson	Ryan Carpenter		30	1	2	2
3	Adam Sykora	Colton Sceviour	Alexander Perevalov	25	1	2	2
4	Alexander Perevalov		Reese Johnson	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Bogosian	Radim Simek	30	1	2	2
2	Robert Bortuzzo		30	1	2	2
3	Riley Stillman	Chris Wideman	25	1	2	2
4	Jordie Benn	Valtteri Pulli	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Reese Johnson	Denis Malgin	60	1	2	2
2	Nate Thompson	Ryan Carpenter		40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Bogosian	Radim Simek	60	1	2	2
2	Robert Bortuzzo		40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Reese Johnson	60	1	2	2
2	Denis Malgin	Ryan Carpenter	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Bogosian	Radim Simek	60	1	2	2
2	Robert Bortuzzo		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	Zach Bogosian	Radim Simek	60	1	2	2
2	Reese Johnson	40	1	2	2	Robert Bortuzzo		40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Reese Johnson	60	1	2	2
2	Denis Malgin	Ryan Carpenter	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Bogosian	Radim Simek	60	1	2	2
2	Robert Bortuzzo		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Reese Johnson	Denis Malgin	Zach Bogosian	Radim Simek

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Reese Johnson	Denis Malgin	Zach Bogosian	Radim Simek

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jiri Smejkal, Colton Sceviour, Adam Sykora	Jiri Smejkal, Colton Sceviour	Adam Sykora

Extra Defensemen
Normal	PowerPlay	Penalty Kill
David Spacek, Riley Stillman, Chris Wideman	David Spacek	Riley Stillman, Chris Wideman

Penalty Shots
, Reese Johnson, Denis Malgin, Ryan Carpenter, Colton Sceviour

Goalie
#1 : , #2 : Arturs Silovs

Custom OT Lines Forwards
, Reese Johnson, Denis Malgin, Ryan Carpenter, Colton Sceviour, Nate Thompson, Nate Thompson, Adam Sykora, Alexander Perevalov, , Jiri Smejkal

Custom OT Lines Defensemen
Zach Bogosian, Radim Simek, Robert Bortuzzo, , Riley Stillman

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	Grand Rapids Griffins	6	4	2	0	0	0	0	0	19	17	2	3	1	2	0	0	0	0	0	9	11	-2	3	3	0	0	0	0	0	0	10	6	4	8	0.667	19	33	52	0	0	8	5	6	0	165	48	49	67	1	220	56	36	139	16	4	25.00%	16	2	87.50%	0	93	177	52.54%	118	212	55.66%	59	108	54.63%	152	105	132	42	81	43
	Total	6	4	2	0	0	0	0	0	19	17	2	3	1	2	0	0	0	0	0	9	11	-2	3	3	0	0	0	0	0	0	10	6	4	8	0.667	19	33	52	0	0	8	5	6	0	165	48	49	67	1	220	56	36	139	16	4	25.00%	16	2	87.50%	0	93	177	52.54%	118	212	55.66%	59	108	54.63%	152	105	132	42	81	43
	_Since Last GM Reset	6	4	2	0	0	0	0	0	19	17	2	3	1	2	0	0	0	0	0	9	11	-2	3	3	0	0	0	0	0	0	10	6	4	8	0.667	19	33	52	0	0	8	5	6	0	165	48	49	67	1	220	56	36	139	16	4	25.00%	16	2	87.50%	0	93	177	52.54%	118	212	55.66%	59	108	54.63%	152	105	132	42	81	43
	_Vs Conference	6	4	2	0	0	0	0	0	19	17	2	3	1	2	0	0	0	0	0	9	11	-2	3	3	0	0	0	0	0	0	10	6	4	8	0.667	19	33	52	0	0	8	5	6	0	165	48	49	67	1	220	56	36	139	16	4	25.00%	16	2	87.50%	0	93	177	52.54%	118	212	55.66%	59	108	54.63%	152	105	132	42	81	43

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
6	8	W1	19	33	52	165	220	56	36	139	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	19	17

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	9	11

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	3	0	0	0	0	0	10	6

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	1	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
16	4	25.00%	16	2	87.50%	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
48	49	67	1	8	5	6	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
93	177	52.54%	118	212	55.66%	59	108	54.63%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
152	105	132	42	81	43

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
2 - 2024-04-20	7	Grand Rapids Griffins	3	Manitoba Moose	4	BW		BoxScore
4 - 2024-04-22	15	Grand Rapids Griffins	4	Manitoba Moose	2	BL		BoxScore
6 - 2024-04-24	23	Manitoba Moose	3	Grand Rapids Griffins	1	AW		BoxScore
8 - 2024-04-26	31	Manitoba Moose	2	Grand Rapids Griffins	1	AW		BoxScore
10 - 2024-04-28	39	Grand Rapids Griffins	4	Manitoba Moose	3	BL	X	BoxScore
12 - 2024-04-30	47	Manitoba Moose	5	Grand Rapids Griffins	4	AW		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	4500	3500
Ticket Price	35	0
Attendance	13,500	10,427
Attendance PCT	100.00%	99.30%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
31	7976 - 99.70%	157,500$	472,500$	8000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,427,361$	1,277,361$	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$	2	0$	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: 6 \| W: 4 \| L: 2 GF: 19 \| GA: 17 \| PP%: 25.00% \| PK%: 87.50% GM : Louis-Philip Lafrance \| Morale : 60 \| Team Overall : 60