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

Game Center
	Minnesota Duluth Lakers 9-4-2, 20pts	8	FINAL	7	Manitoba Moose 10-2-2, 22pts

Team Stats
SOL1	Streak	L1
3-3-1	Home Record	5-2-1
6-1-1	Home Record	5-0-1
6-2-2	Last 10 Games	8-1-1
4.40	Goals Per Game	4.93
4.80	Goals Against Per Game	3.71
37.78%	Power Play Percentage	41.86%
70.27%	Penalty Kill Percentage	69.39%

Indianapolis Knights
8-7-1, 17pts

FINAL

Manitoba Moose
10-2-2, 22pts

Team Stats
W2	Streak	L1
3-3-1	Home Record	5-2-1
5-4-0	Home Record	5-0-1
3-7-0	Last 10 Games	8-1-1
4.13	Goals Per Game	4.93
4.06	Goals Against Per Game	3.71
25.00%	Power Play Percentage	41.86%
70.37%	Penalty Kill Percentage	69.39%

Manitoba Moose
10-2-2, 22pts

Day 33

Utica Comets
12-2-1, 25pts

Team Stats
L1	Streak	W1
5-2-1	Home Record	6-0-1
5-0-1	Away Record	6-2-0
8-1-1	Last 10 Games	7-2-1
4.93	Goals Per Game	4.60
3.71	Goals Against Per Game	4.60
41.86%	Power Play Percentage	44.19%
69.39%	Penalty Kill Percentage	78.13%

Oklahoma City Barons
2-8-4, 8pts

Day 36

Manitoba Moose
10-2-2, 22pts

Team Stats
L2	Streak	L1
1-4-3	Home Record	5-2-1
1-4-1	Away Record	5-0-1
1-6-3	Last 10 Games	8-1-1
2.86	Goals Per Game	4.93
4.36	Goals Against Per Game	4.93
31.43%	Power Play Percentage	41.86%
55.56%	Penalty Kill Percentage	69.39%

Manitoba Moose
10-2-2, 22pts

Day 38

Seattle Thunderbirds
8-4-2, 18pts

Team Stats
L1	Streak	OTL1
5-2-1	Home Record	5-2-0
5-0-1	Away Record	3-2-2
8-1-1	Last 10 Games	6-2-2
4.93	Goals Per Game	3.57
3.71	Goals Against Per Game	3.57
41.86%	Power Play Percentage	23.53%
69.39%	Penalty Kill Percentage	71.88%

Team Leaders
	Goals Ben McCartney 12	Assists Nate Danielson 13

	Points Noah Philp 23	Plus/Minus Ben McCartney 17

	Wins James Reimer 10	Save Percentage James Reimer 0.901

Team Stats
Goals For 69 4.93 GFG	Shots For 556 39.71 Avg	Power Play Percentage 41.9% 18 GF	Offensive Zone Start 40.7%
Goals Against 52 3.71 GAA	Shots Against 441 31.50 Avg	Penalty Kill Percentage 69.4%% 15 GA	Defensive Zone Start 31.7%

Team Info
	General Manager	Tobias
	Coach	Scott Arniel
	Division	Central Division
	Conference	Western Conference
	Captain	David Gustafsson
	Assistant #1	Sammy Blais
	Assistant #2	Matthew Robertson
Arena Info
	Capacity	3,000
	Attendance	2,818
	Season Tickets	750
Roster Info
	Pro Team	36
	Farm Team	19
	Contract Limit	55 / 65
	Prospects	48
Team History
	This Season	10-2-2 (22PTS)
	History	236-57-22 (0.749%)
	Playoff Appearances	0
	Playoff Record (W-L)	-
	Stanley Cup	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	#	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	Colton Dach (R)	28	X	X			100.00	99	70	80	67	76	62	75	63	46	65	58	69	25	46	46	0	80	62	0	22	2	1,000,000$
2	Noah Philp	0	X		X		100.00	75	44	95	78	74	53	85	55	67	61	55	60	25	45	45	0	82	60	0	27	1	750,000$
3	Sammy Blais (A)	0		X	X		100.00	76	76	76	67	76	65	66	63	50	62	60	65	57	44	46	0	77	60	0	29	1	1,000,000$
4	David Gustafsson (C)	19	X	X	X		100.00	65	56	93	73	74	52	57	63	69	60	57	69	25	60	61	0	82	60	0	25	1	775,000$
5	Adam Beckman	11		X	X		100.00	75	72	82	68	72	62	62	63	50	62	61	64	58	44	44	0	85	60	0	24	2	775,000$
6	Ben McCartney	62		X	X		100.00	69	71	63	65	71	74	78	61	50	55	62	61	59	44	44	0	80	59	0	24	2	775,000$
7	Taylor Ward	16		X	X		100.00	75	76	74	64	76	77	83	56	50	50	57	63	54	44	44	0	83	59	0	27	2	775,000$
8	Riley Fiddler-Schultz (R)	0	X	X			99.30	77	72	90	66	72	51	49	60	75	54	62	65	59	44	44	0	69	58	0	23	2	750,000$
9	Nate Danielson (R)	0	X				100.00	75	71	85	67	71	56	56	60	75	59	56	64	53	44	44	0	85	58	0	21	3	1,500,000$
10	Nathan Legare	32		X	X		100.00	69	73	59	68	73	80	87	56	50	46	61	60	58	44	44	0	79	58	0	24	2	775,000$
11	Kai Uchacz (R)	0	X		X		100.00	77	75	80	66	75	55	55	57	71	51	59	64	56	44	44	0	77	57	0	22	3	750,000$
12	Tyler Tucker	0				X	100.00	86	99	61	68	77	65	74	61	25	49	49	78	25	55	55	0	73	65	0	25	1	800,000$
13	Derrick Pouliot	0				X	99.00	78	75	84	74	75	80	86	56	25	56	42	64	40	44	45	0	81	63	0	31	2	775,000$
14	Nicolas Deslauriers	0		X		X	97.00	92	99	85	71	81	48	54	61	34	53	57	60	25	77	78	0	71	63	0	34	1	775,000$
15	Matthew Robertson (A)	46				X	97.00	78	80	74	68	80	73	79	51	25	49	39	63	37	44	44	0	89	60	0	24	3	775,000$
16	Daemon Hunt (R)	48				X	98.00	78	74	88	67	74	70	75	50	25	45	40	63	38	45	45	0	85	59	0	23	1	1,000,000$
17	Tyrel Bauer (R)	52				X	100.00	72	81	52	63	81	68	75	42	25	30	39	58	37	44	44	0	88	56	0	23	1	750,000$
Scratches
1	Ryan McAllister	76	X	X			85.25	75	66	95	62	66	47	43	67	80	62	68	65	65	44	44	0	72	59	0	23	2	750,000$
2	Ryder Rolston	63	X	X	X		100.00	80	75	93	63	75	55	54	59	50	54	59	66	56	44	44	0	68	58	0	24	2	850,000$
3	Florian Xhekaj (R)	0	X	X			100.00	65	77	38	66	77	78	84	57	50	47	62	58	59	44	44	0	71	58	0	21	3	900,000$
4	Jon-Randall Avon (R)	85	X	X			100.00	73	64	93	62	64	71	76	51	64	47	50	60	48	44	44	0	61	55	0	22	2	850,000$
5	Alexander Campbell (R)	0	X	X			100.00	74	63	99	62	63	39	37	51	64	50	48	61	46	44	44	0	61	52	0	24	1	1,000,000$
6	Justin Gill (R)	0	X	X	X		100.00	74	71	82	62	71	44	44	49	61	47	45	60	43	44	44	0	61	51	0	22	3	900,000$
7	Jaxsen Wiebe (R)	83	X		X		100.00	79	75	89	60	75	45	46	45	50	38	46	62	44	44	44	0	61	50	0	23	2	750,000$
8	Josh Filmon (R)	0		X	X		100.00	71	62	93	60	62	57	61	44	50	38	44	58	42	44	44	0	61	50	0	21	3	850,000$
9	Mitchell Russell (R)	0	X		X		100.00	77	70	93	60	70	36	34	45	56	38	47	61	45	44	44	0	61	49	0	24	1	750,000$
10	Ryan Hofer	86	X	X	X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	61	48	0	23	2	850,000$
11	Madison Bowey	0				X	100.00	73	75	68	64	75	70	76	48	25	39	41	60	39	44	44	0	80	57	0	30	2	775,000$
12	Jett Woo	3				X	100.00	71	74	63	65	74	53	55	49	25	42	40	59	38	44	44	0	61	54	0	25	1	775,000$
13	Isaac Belliveau (R)	0				X	100.00	73	70	81	62	70	41	39	50	25	44	41	60	39	44	44	0	61	53	0	22	2	800,000$
14	Nick Cicek	59				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	61	48	0	25	2	775,000$

	TEAM AVERAGE						99.19	74	71	78	65	72	59	63	55	49	50	52	62	45	46	47	0	73	57

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	James Reimer	0	96.00	61	54	57	78	66	56	69	63	65	61	83	72	73	0	83	64	2	37	1	2,955,000$
2	Mitchell Weeks	70	100.00	46	40	50	78	47	45	50	52	48	48	30	44	44	0	82	50	0	24	1	750,000$
Scratches
1	Anson Thornton	0	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	0	68	50	0	22	1	795,556$
2	Gage Alexander (R)	79	99.00	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	50	0	23	1	750,000$
3	Chris Driedger	60	100.00	44	40	50	84	43	42	50	51	46	47	30	44	44	0	68	49	0	31	2	795,000$

	TEAM AVERAGE		99.00	50	47	51	68	51	49	54	53	52	51	49	52	52	0	75	53

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Scott Arniel	72	71	77	78	89	85	55	CAN	62	3	250,000$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Noah Philp	Manitoba Moose (WPG)	C/RW	14	11	12	23	17	2	0	17	11	59	10	33	18.64%	5	247	17.66	6	1	7	13	26	0	0	0	0	5	4	0	49.12%	57	12	3	0	1	1.86	0	0	0	0	0	3	2	0
2	Ben McCartney	Manitoba Moose (WPG)	LW/RW	14	12	8	20	17	49	15	28	15	40	13	27	30.00%	8	236	16.87	2	3	5	2	23	0	0	0	0	5	2	0	60.00%	20	6	4	0	1	1.69	0	2	1	1	1	2	3	1
3	Colton Dach	Manitoba Moose (WPG)	C/LW	14	10	8	18	3	9	5	22	21	54	17	24	18.52%	13	270	19.35	4	2	6	10	25	1	0	1	2	29	1	0	45.31%	64	4	4	0	0	1.33	0	0	0	1	0	0	0	1
4	Nate Danielson	Manitoba Moose (WPG)	C	14	4	13	17	14	11	5	24	18	43	12	22	9.30%	1	193	13.85	0	0	0	0	0	0	0	0	0	0	0	0	55.43%	184	7	3	0	0	1.75	0	0	1	0	0	1	0	1
5	Ryan McAllister	Manitoba Moose (WPG)	C/LW	14	4	12	16	4	0	0	20	26	52	14	25	7.69%	5	246	17.59	0	4	4	3	19	0	1	1	1	27	0	1	54.94%	253	5	4	1	0	1.30	0	2	0	0	0	2	0	1
6	David Gustafsson	Manitoba Moose (WPG)	C/LW/RW	14	5	10	15	2	0	0	19	28	45	12	28	11.11%	9	262	18.77	2	3	5	5	26	0	0	0	0	30	1	0	55.56%	36	10	6	0	0	1.14	0	1	0	0	0	0	1	2
7	Riley Fiddler-Schultz	Manitoba Moose (WPG)	C/LW	13	4	8	12	-6	5	5	19	22	28	12	18	14.29%	8	223	17.19	1	3	4	1	19	0	0	0	1	23	0	1	54.25%	212	3	2	0	0	1.07	1	2	0	1	0	0	0	1
8	Derrick Pouliot	Manitoba Moose (WPG)	D	14	2	7	9	8	53	25	18	30	24	11	8	8.33%	21	327	23.37	1	1	2	1	26	0	0	0	0	28	0	0	0%	0	5	14	0	0	0.55	0	0	2	2	1	0	1	0
9	Adam Beckman	Manitoba Moose (WPG)	LW/RW	14	4	5	9	-8	26	20	24	20	42	11	23	9.52%	8	200	14.33	0	3	3	1	6	0	0	0	0	0	0	0	33.33%	9	11	2	0	0	0.90	0	0	3	1	0	0	1	0
10	Daemon Hunt	Manitoba Moose (WPG)	D	14	0	9	9	10	7	5	20	19	17	10	11	0%	18	329	23.56	0	4	4	2	26	0	0	0	0	30	0	0	0%	0	1	3	0	0	0.55	0	0	1	0	0	0	0	0
11	Nicolas Deslauriers	Manitoba Moose (WPG)	LW/D	14	2	5	7	1	111	75	31	21	22	6	16	9.09%	20	291	20.85	2	2	4	4	24	0	0	0	1	27	0	0	66.67%	9	6	10	0	0	0.48	0	0	4	7	4	0	0	0
12	Sammy Blais	Manitoba Moose (WPG)	LW/RW	14	4	2	6	-9	57	25	25	12	40	15	31	10.00%	5	212	15.17	0	1	1	1	9	0	0	0	1	5	1	0	53.85%	13	8	4	0	0	0.57	0	0	1	2	2	0	1	0
13	Kai Uchacz	Manitoba Moose (WPG)	C/RW	9	2	4	6	4	0	0	5	5	14	6	12	14.29%	1	79	8.83	0	0	0	0	0	0	0	0	0	0	0	1	52.38%	21	4	1	0	0	1.51	0	1	0	0	0	1	0	0
14	Nathan Legare	Manitoba Moose (WPG)	LW/RW	10	2	4	6	5	2	0	14	7	17	3	12	11.76%	3	112	11.28	0	0	0	0	3	0	0	0	0	0	1	0	50.00%	18	6	1	0	0	1.06	0	0	0	0	0	0	1	0
15	Matthew Robertson	Manitoba Moose (WPG)	D	14	1	5	6	6	31	25	21	24	22	3	3	4.55%	15	324	23.15	0	1	1	3	25	0	0	0	0	31	0	0	0%	0	2	7	0	0	0.37	0	0	4	0	1	0	0	0
16	Madison Bowey	Manitoba Moose (WPG)	D	13	0	3	3	3	11	5	11	6	12	3	2	0%	12	222	17.12	0	2	2	0	4	0	0	0	1	8	0	0	0%	0	0	4	0	0	0.27	0	0	0	1	0	0	0	0
17	Tyler Tucker	Manitoba Moose (WPG)	D	14	1	2	3	-6	57	25	25	30	25	10	3	4.00%	18	309	22.08	1	1	2	2	33	0	1	1	0	16	0	0	0%	0	2	10	0	0	0.19	0	0	1	4	0	0	0	0
18	Taylor Ward	Manitoba Moose (WPG)	LW/RW	14	2	0	2	4	11	5	10	4	14	1	14	14.29%	1	121	8.68	0	0	0	0	1	0	0	0	0	0	0	0	40.00%	5	4	0	0	0	0.33	0	0	0	0	1	0	0	0
19	Florian Xhekaj	Manitoba Moose (WPG)	C/LW	5	0	1	1	1	5	5	2	0	4	1	2	0%	1	29	5.85	0	0	0	0	0	0	0	0	0	2	0	0	0%	1	0	0	0	0	0.68	0	0	1	0	0	0	0	0
20	Ryder Rolston	Manitoba Moose (WPG)	C/LW/RW	5	0	0	0	0	0	0	3	1	3	1	2	0%	0	35	7.07	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	1	0	0	0	0	0	0	0	0	0	0	0	0
21	Tyrel Bauer	Manitoba Moose (WPG)	D	13	0	0	0	3	34	20	15	7	2	3	4	0%	3	177	13.62	0	0	0	0	0	0	0	0	0	2	0	0	0%	0	0	1	0	0	0	0	0	3	0	1	0	0	0
Team Total or Average				264	70	118	188	73	481	265	373	327	579	174	320	12.09%	175	4453	16.87	19	31	50	48	304	1	2	3	7	274	10	3	53.59%	905	97	83	1	2	0.84	1	8	22	20	11	9	10	7

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	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	James Reimer	Manitoba Moose (WPG)	13	10	1	1	0.901	3.08	760	39	394	234	0	0.500	2	13	1	1	1	2
2	Mitchell Weeks	Manitoba Moose (WPG)	1	0	1	0	0.667	10.44	23	4	12	8	1	0	0	0	10	0	0	0
3	Gage Alexander	Manitoba Moose (WPG)	1	0	0	1	0.800	6.56	64	7	35	20	0	0.500	4	1	3	0	0	0
Team Total or Average			15	10	2	2	0.887	3.54	848	50	441	262	1		6	14	14	1	1	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	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	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	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 Beckman	Manitoba Moose (WPG)	LW/RW	24	2001-05-10	CAN	No	193 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	775,000$	77,500$	64,987$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Alexander Campbell	Manitoba Moose (WPG)	C/LW	24	2001-02-27	CAN	Yes	176 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	1,000,000$	100,000$	83,854$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Anson Thornton	Manitoba Moose (WPG)	G	22	2003-06-28	CAN	No	180 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	795,556$	79,556$	66,711$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ben McCartney	Manitoba Moose (WPG)	LW/RW	24	2001-07-13	CAN	No	199 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	775,000$	77,500$	64,987$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Chris Driedger	Manitoba Moose (WPG)	G	31	1994-05-18	CAN	No	205 Lbs	6 ft4	No	No	N/A		No	No	2		False	False	Pro & Farm	795,000$	79,500$	66,664$	No	795,000$	-	-	-	-	-	-	-	-	795,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Colton Dach	Manitoba Moose (WPG)	C/LW	22	2003-01-04	CAN	Yes	196 Lbs	6 ft4	No	No	N/A		No	No	2		False	False	Pro & Farm	1,000,000$	100,000$	83,854$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Daemon Hunt	Manitoba Moose (WPG)	D	23	2002-05-15	CAN	Yes	201 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	1,000,000$	100,000$	83,854$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
David Gustafsson	Manitoba Moose (WPG)	C/LW/RW	25	2000-04-11	SWE	No	196 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	775,000$	77,500$	64,987$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Derrick Pouliot	Manitoba Moose (WPG)	D	31	1994-01-16	CAN	No	205 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2025-09-14	False	False	Pro & Farm	775,000$	77,500$	64,987$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Florian Xhekaj	Manitoba Moose (WPG)	C/LW	21	2004-06-27	CAN	Yes	204 Lbs	6 ft4	No	No	N/A		No	No	3		False	False	Pro & Farm	900,000$	90,000$	75,469$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Gage Alexander	Manitoba Moose (WPG)	G	23	2002-02-07	CAN	Yes	205 Lbs	6 ft6	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	75,000$	62,891$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Isaac Belliveau	Manitoba Moose (WPG)	D	22	2002-11-26	CAN	Yes	185 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	800,000$	80,000$	67,083$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
James Reimer	Manitoba Moose (WPG)	G	37	1988-03-15	CAN	No	200 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-09-14	False	False	Pro & Farm	2,955,000$	295,500$	247,789$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jaxsen Wiebe	Manitoba Moose (WPG)	C/RW	23	2002-05-16	CAN	Yes	206 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	750,000$	75,000$	62,891$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jett Woo	Manitoba Moose (WPG)	D	25	2000-07-27	CAN	No	205 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	775,000$	77,500$	64,987$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jon-Randall Avon	Manitoba Moose (WPG)	C/LW	22	2003-07-04	CAN	Yes	174 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	850,000$	85,000$	71,276$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Josh Filmon	Manitoba Moose (WPG)	LW/RW	21	2004-03-18	CAN	Yes	160 Lbs	6 ft1	No	No	N/A		No	No	3		False	False	Pro & Farm	850,000$	85,000$	71,276$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Justin Gill	Manitoba Moose (WPG)	C/LW/RW	22	2003-01-27	CAN	Yes	190 Lbs	6 ft1	No	No	N/A		No	No	3		False	False	Pro & Farm	900,000$	90,000$	75,469$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Kai Uchacz	Manitoba Moose (WPG)	C/RW	22	2003-06-24	CAN	Yes	209 Lbs	6 ft1	No	No	N/A		No	No	3		False	False	Pro & Farm	750,000$	75,000$	62,891$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Madison Bowey	Manitoba Moose (WPG)	D	30	1995-04-22	CAN	No	203 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2025-09-14	False	False	Pro & Farm	775,000$	77,500$	64,987$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Robertson	Manitoba Moose (WPG)	D	24	2001-03-09	CAN	No	211 Lbs	6 ft4	No	No	N/A		No	No	3		False	False	Pro & Farm	775,000$	77,500$	64,987$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Mitchell Russell	Manitoba Moose (WPG)	C/RW	24	2001-03-06	CAN	Yes	194 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	75,000$	62,891$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mitchell Weeks	Manitoba Moose (WPG)	G	24	2001-06-22	CAN	No	190 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	75,000$	62,891$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nate Danielson	Manitoba Moose (WPG)	C	21	2004-09-27	CAN	Yes	190 Lbs	6 ft1	No	No	N/A		No	No	3		False	False	Pro & Farm	1,500,000$	150,000$	125,781$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Nathan Legare	Manitoba Moose (WPG)	LW/RW	24	2001-01-11	CAN	No	200 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	775,000$	77,500$	64,987$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Nick Cicek	Manitoba Moose (WPG)	D	25	2000-05-29	CAN	No	201 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	775,000$	77,500$	64,987$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Nicolas Deslauriers	Manitoba Moose (WPG)	LW/D	34	1991-02-22	CAN	No	218 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-09-14	False	False	Pro & Farm	775,000$	77,500$	64,987$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Noah Philp	Manitoba Moose (WPG)	C/RW	27	1998-08-31	CAN	No	198 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	75,000$	62,891$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Riley Fiddler-Schultz	Manitoba Moose (WPG)	C/LW	23	2002-05-13	CAN	Yes	202 Lbs	5 ft11	No	No	N/A		No	No	2		False	False	Pro & Farm	750,000$	75,000$	62,891$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Hofer	Manitoba Moose (WPG)	C/LW/RW	23	2002-05-10	CAN	No	181 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	850,000$	85,000$	71,276$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan McAllister (Out of Payroll)	Manitoba Moose (WPG)	C/LW	23	2001-12-19	CAN	No	185 Lbs	5 ft10	No	No	N/A		No	No	2		False	False	Pro & Farm	750,000$	0$	0$	Yes	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ryder Rolston	Manitoba Moose (WPG)	C/LW/RW	24	2001-10-31	USA	No	200 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	850,000$	85,000$	71,276$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Sammy Blais	Manitoba Moose (WPG)	LW/RW	29	1996-06-17	CAN	No	206 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	1,000,000$	100,000$	83,854$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Taylor Ward	Manitoba Moose (WPG)	LW/RW	27	1998-03-31	CAN	No	207 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	775,000$	77,500$	64,987$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Tyler Tucker	Manitoba Moose (WPG)	D	25	2000-03-01	CAN	No	204 Lbs	6 ft1	No	No	Trade	2025-11-04	No	No	1		False	False	Pro & Farm	800,000$	80,000$	67,083$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tyrel Bauer	Manitoba Moose (WPG)	D	23	2002-03-23	CAN	Yes	216 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	75,000$	62,891$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
36	24.83	197 Lbs	6 ft2	1.78	892,238$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Colton Dach		David Gustafsson	30	1	1	3
2	Ben McCartney	Nate Danielson	Noah Philp	30	0	1	4
3	Adam Beckman	Riley Fiddler-Schultz	Sammy Blais	30	2	2	1
4	Nathan Legare	Kai Uchacz	Taylor Ward	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nicolas Deslauriers	Matthew Robertson	40	1	1	3
2	Daemon Hunt	Derrick Pouliot	40	1	1	3
3	Tyler Tucker	Tyrel Bauer	10	2	2	1
4	Tyler Tucker	Tyrel Bauer	10	2	2	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Colton Dach		David Gustafsson	50	0	1	4
2	Ben McCartney	Riley Fiddler-Schultz	Noah Philp	50	0	1	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nicolas Deslauriers	Matthew Robertson	50	0	1	4
2	Daemon Hunt	Derrick Pouliot	50	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Colton Dach	50	1	3	1
2	Riley Fiddler-Schultz	David Gustafsson	50	1	3	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nicolas Deslauriers	Matthew Robertson	50	1	3	1
2	Daemon Hunt	Derrick Pouliot	50	1	3	1

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	David Gustafsson	50	0	5	0	Nicolas Deslauriers	Matthew Robertson	50	0	5	0
2	Riley Fiddler-Schultz	50	0	5	0	Daemon Hunt	Derrick Pouliot	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nate Danielson	Adam Beckman	50	0	1	4
2	David Gustafsson	Noah Philp	50	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nicolas Deslauriers	Matthew Robertson	50	0	1	4
2	Daemon Hunt	Derrick Pouliot	50	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Colton Dach		Ben McCartney	Nicolas Deslauriers	Derrick Pouliot

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Colton Dach		David Gustafsson	Daemon Hunt	Derrick Pouliot

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nathan Legare, Kai Uchacz, Sammy Blais	Nathan Legare, Sammy Blais	Sammy Blais

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Tyler Tucker, Derrick Pouliot, Tyrel Bauer	Tyler Tucker	Tyler Tucker, Tyrel Bauer

Penalty Shots
Riley Fiddler-Schultz, , Ben McCartney, Nathan Legare, Adam Beckman

Goalie
#1 : James Reimer, #2 : Mitchell Weeks

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	Grand Rapids Griffins	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	3	1	2	4	1.000	10	17	27	0	0	18	29	21	2	61	193	205	148	17	42	18	104	57	9	5	55.56%	7	2	71.43%	0	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137
2	Green Bay Lumberjacks	2	2	0	0	0	0	0	0	13	8	5	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	6	4	2	4	1.000	13	22	35	0	0	18	29	21	2	96	193	205	148	17	68	27	39	47	4	2	50.00%	7	2	71.43%	1	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137
3	Indianapolis Knights	4	3	1	0	0	0	0	0	20	17	3	2	1	1	0	0	0	0	0	8	10	-2	2	2	0	0	0	0	0	0	12	7	5	6	0.750	20	32	52	0	0	18	29	21	2	150	193	205	148	17	133	33	94	117	16	6	37.50%	12	3	75.00%	0	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137
4	Milwaukee Admirals	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	18	29	21	2	54	193	205	148	17	31	7	24	22	4	2	50.00%	2	1	50.00%	0	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137
5	Minnesota Duluth Lakers	3	0	1	0	0	0	0	2	14	17	-3	2	0	1	0	0	0	0	1	10	12	-2	1	0	0	0	0	0	0	1	4	5	-1	2	0.333	14	23	37	0	0	18	29	21	2	131	193	205	148	17	111	48	119	60	7	2	28.57%	12	5	58.33%	0	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137
6	Oklahoma City Barons	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	5	4	1	2	1.000	5	9	14	0	0	18	29	21	2	31	193	205	148	17	24	14	33	25	1	1	100.00%	4	1	75.00%	0	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137
7	Utica Comets	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	18	29	21	2	33	193	205	148	17	32	10	18	23	2	0	0.00%	5	1	80.00%	0	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137
	Total	14	9	2	0	1	0	0	2	69	52	17	8	5	2	0	0	0	0	1	39	31	8	6	4	0	0	1	0	0	1	30	21	9	22	0.786	69	116	185	0	0	18	29	21	2	556	193	205	148	17	441	157	431	351	43	18	41.86%	49	15	69.39%	1	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137
	_Since Last GM Reset	14	9	2	0	1	0	0	2	69	52	17	8	5	2	0	0	0	0	1	39	31	8	6	4	0	0	1	0	0	1	30	21	9	22	0.786	69	116	185	0	0	18	29	21	2	556	193	205	148	17	441	157	431	351	43	18	41.86%	49	15	69.39%	1	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137
	_Vs Conference	14	9	2	0	1	0	0	2	69	52	17	8	5	2	0	0	0	0	1	39	31	8	6	4	0	0	1	0	0	1	30	21	9	22	0.786	69	116	185	0	0	18	29	21	2	556	193	205	148	17	441	157	431	351	43	18	41.86%	49	15	69.39%	1	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137
	_Vs Division	2	9	2	0	1	0	0	2	10	4	6	1	5	2	0	0	0	0	1	7	3	4	1	4	0	0	1	0	0	1	3	1	2	22	5.500	10	17	27	0	0	18	29	21	2	61	193	205	148	17	42	18	104	57	9	5	55.56%	7	2	71.43%	0	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
14	22	L1	69	116	185	556	441	157	431	351	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	9	2	1	0	0	2	69	52

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	2	0	0	0	1	39	31

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	0	1	0	0	1	30	21

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	1	1	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
43	18	41.86%	49	15	69.39%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
193	205	148	17	18	29	21	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
198	366	54.10%	157	285	55.09%	130	249	52.21%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
293	153	270	141	287	137

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
2	11	Grand Rapids Griffins	3	Manitoba Moose	7	W			BoxScore
5	34	Minnesota Duluth Lakers	4	Manitoba Moose	3	L			BoxScore
7	48	Manitoba Moose	4	Minnesota Duluth Lakers	5	L	X	X	BoxScore
10	65	Green Bay Lumberjacks	4	Manitoba Moose	7	W			BoxScore
13	95	Milwaukee Admirals	1	Manitoba Moose	4	W			BoxScore
15	111	Manitoba Moose	5	Oklahoma City Barons	4	W	X		BoxScore
17	126	Manitoba Moose	6	Green Bay Lumberjacks	4	W			BoxScore
18	133	Utica Comets	1	Manitoba Moose	3	W			BoxScore
21	154	Manitoba Moose	6	Indianapolis Knights	4	W			BoxScore
23	165	Indianapolis Knights	1	Manitoba Moose	3	W			BoxScore
26	189	Manitoba Moose	6	Indianapolis Knights	3	W			BoxScore
27	194	Manitoba Moose	3	Grand Rapids Griffins	1	W			BoxScore
29	210	Minnesota Duluth Lakers	8	Manitoba Moose	7	L	X	X	BoxScore
31	228	Indianapolis Knights	9	Manitoba Moose	5	L			BoxScore
33	242	Manitoba Moose	-	Utica Comets	-
36	257	Oklahoma City Barons	-	Manitoba Moose	-
38	280	Manitoba Moose	-	Seattle Thunderbirds	-
40	290	Manitoba Moose	-	Phoenix Coyotes	-
42	302	Springfield Bulldogs	-	Manitoba Moose	-
45	323	Grand Rapids Griffins	-	Manitoba Moose	-
47	346	Manitoba Moose	-	Green Bay Lumberjacks	-
49	354	Grand Rapids Griffins	-	Manitoba Moose	-
51	371	Manitoba Moose	-	Milwaukee Admirals	-
53	387	Manitoba Moose	-	Cape Breton Roaring Moose	-
54	396	San Antonio Rampage	-	Manitoba Moose	-
57	419	Manitoba Moose	-	Florida Everblades	-
58	430	Green Bay Lumberjacks	-	Manitoba Moose	-
62	452	Manitoba Moose	-	Oklahoma City Barons	-
63	462	Hershey Bears	-	Manitoba Moose	-
66	485	Flint Admirals	-	Manitoba Moose	-
68	502	Manitoba Moose	-	Flint Admirals	-
70	517	Manitoba Moose	-	Oklahoma City Barons	-
71	526	Charlestown Chiefs	-	Manitoba Moose	-
74	549	Naples Stingrays	-	Manitoba Moose	-
76	563	Manitoba Moose	-	Utica Comets	-
78	575	Manitoba Moose	-	Minnesota Duluth Lakers	-
80	591	Minnesota Duluth Lakers	-	Manitoba Moose	-
83	615	Salt Lake City Lynx	-	Manitoba Moose	-
85	634	Manitoba Moose	-	Alberta Fire	-
87	646	Hartford Wolf Pack	-	Manitoba Moose	-
89	666	Manitoba Moose	-	Tofino Whalers	-
90	677	Charlotte Checkers	-	Manitoba Moose	-
93	695	Manitoba Moose	-	Capital District Islanders	-
94	710	Cape Breton Roaring Moose	-	Manitoba Moose	-
97	726	Manitoba Moose	-	Grand Rapids Griffins	-
99	742	Mississauga Wolves	-	Manitoba Moose	-
101	755	Manitoba Moose	-	Utica Comets	-
103	774	Manitoba Moose	-	Hershey Bears	-
104	780	Laval Rocket	-	Manitoba Moose	-
108	805	Milwaukee Admirals	-	Manitoba Moose	-
111	826	Manitoba Moose	-	Indianapolis Knights	-
113	841	Alberta Fire	-	Manitoba Moose	-
115	859	Manitoba Moose	-	Providence Bruins	-
116	873	Green Bay Lumberjacks	-	Manitoba Moose	-
119	892	Manitoba Moose	-	Charlotte Checkers	-
121	903	Tucson Roadrunners	-	Manitoba Moose	-
122	916	Manitoba Moose	-	Tucson Roadrunners	-
125	935	Indianapolis Knights	-	Manitoba Moose	-
127	950	Manitoba Moose	-	Springfield Bulldogs	-
129	965	Utica Comets	-	Manitoba Moose	-
132	981	Manitoba Moose	-	Charlestown Chiefs	-
134	999	Utica Comets	-	Manitoba Moose	-
135	1007	Manitoba Moose	-	Grand Rapids Griffins	-
138	1021	Manitoba Moose	-	Charlotte Checkers	-
139	1037	Capital District Islanders	-	Manitoba Moose	-
142	1055	Manitoba Moose	-	Hartford Wolf Pack	-
144	1068	Providence Bruins	-	Manitoba Moose	-
Trade Deadline --- Trades can’t be done after this day is simulated!
149	1096	Phoenix Coyotes	-	Manitoba Moose	-
150	1103	Manitoba Moose	-	Naples Stingrays	-
153	1127	Milwaukee Admirals	-	Manitoba Moose	-
155	1136	Manitoba Moose	-	Milwaukee Admirals	-
156	1148	Manitoba Moose	-	Minnesota Duluth Lakers	-
159	1164	Manitoba Moose	-	Milwaukee Admirals	-
160	1170	Oklahoma City Barons	-	Manitoba Moose	-
162	1192	Manitoba Moose	-	San Diego Gulls	-
164	1202	Oklahoma City Barons	-	Manitoba Moose	-
168	1228	Portland Wild Cats	-	Manitoba Moose	-
170	1242	Manitoba Moose	-	Texas Stars	-
172	1258	Manitoba Moose	-	Mississauga Wolves	-
173	1266	Manitoba Moose	-	Green Bay Lumberjacks	-
175	1275	Florida Everblades	-	Manitoba Moose	-
180	1297	Henderson Silver Knights	-	Manitoba Moose	-
187	1321	Henderson Silver Knights	-	Manitoba Moose	-
189	1333	Manitoba Moose	-	Laval Rocket	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	40	20
Attendance	15,819	6,725
Attendance PCT	98.87%	84.06%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
34	2818 - 93.93%	134,271$	1,074,164$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
543,406$	3,137,056$	3,137,056$	250,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
3,137,056$	543,406$	35	1

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
4,565,197$	161	17,641$	2,840,201$

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
1	Byron Froese	287	113	171	284	80	308	441	470	779	14.51%	132	4898	17.07	37	58	95	76	5	5	10	30	20	10	58.63%	2	1.16	4	12
2	David Gustafsson	316	119	151	270	90	79	276	410	910	13.08%	121	4942	15.64	26	40	66	62	0	0	0	6	26	6	52.57%	5	1.09	0	8
3	Josh Leivo	149	71	94	165	24	125	237	148	479	14.82%	41	2536	17.03	31	46	77	58	1	0	1	2	8	4	44.59%	2	1.30	9	22
4	Luke Philp	194	66	85	151	78	112	200	228	476	13.87%	48	2744	14.15	16	19	35	40	1	2	3	3	8	7	56.20%	1	1.10	4	8
5	Adam Beckman	238	49	83	132	40	140	297	198	568	8.63%	64	3268	13.73	4	14	18	15	0	0	0	0	9	1	39.19%	0	0.81	4	14

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
1	Laurent Brossoit	114	88	16	7	0.889	2.73	6721	0	4	306	2755	1617	7	1	0.733	30
2	Chris Driedger	62	50	9	3	0.926	2.07	3624	4	3	125	1687	1013	4	2	0.375	8
3	Joel Hofer	57	34	12	9	0.904	2.54	3397	0	2	144	1501	842	3	2	0.600	25
4	Michael Hutchinson	20	13	4	0	0.892	3.00	1000	0	1	50	462	293	1	2	0.737	19
5	Anson Thornton	20	13	3	0	0.925	2.21	1060	2	1	39	518	309	1	0	0	0

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
Regular Season
2020	76	52	12	0	3	2	7	0	323	196	127	38	27	5	0	3	1	2	0	155	90	65	38	25	7	0	0	1	5	0	168	106	62	126	323	505	828	2	6	78	144	91	20	2680	873	958	840	41	1884	633	1151	1939	190	69	36.32%	138	47	65.94%	3	880	1576	55.84%	631	1189	53.07%	599	1098	54.55%	1636	898	1407	750	1552	738
2022	76	47	13	0	2	6	7	1	348	229	119	38	20	7	0	1	4	5	1	172	117	55	38	27	6	0	1	2	2	0	176	112	64	119	348	559	907	2	0	93	125	121	14	2672	874	981	811	36	1889	585	1619	1999	233	82	35.19%	167	49	70.66%	6	911	1588	57.37%	740	1269	58.31%	707	1223	57.81%	1662	908	1408	748	1538	745
2023	76	38	18	0	1	5	6	8	281	213	68	38	24	8	0	0	2	2	2	161	108	53	38	14	10	0	1	3	4	6	120	105	15	103	281	454	735	3	2	83	91	100	17	2829	981	924	907	66	2083	682	1943	2020	209	75	35.89%	171	54	68.42%	5	929	1702	54.58%	735	1370	53.65%	661	1128	58.60%	1685	920	1396	734	1552	767
2024	78	60	12	0	2	1	1	2	335	168	167	39	33	3	0	0	1	1	1	178	78	100	39	27	9	0	2	0	0	1	157	90	67	129	335	554	889	2	4	87	127	118	5	3203	1039	1099	1057	15	2207	719	1558	1994	239	91	38.08%	129	43	66.67%	1	1044	1865	55.98%	774	1420	54.51%	628	1145	54.85%	1682	930	1469	764	1544	743
2025	14	9	2	0	1	0	0	2	69	52	17	8	5	2	0	0	0	0	1	39	31	8	6	4	0	0	1	0	0	1	30	21	9	22	69	116	185	0	0	18	29	21	2	556	193	205	148	17	441	157	431	351	43	18	41.86%	49	15	69.39%	1	198	366	54.10%	157	285	55.09%	130	249	52.21%	293	153	270	141	287	137
Total Regular Season	320	206	57	0	9	14	21	13	1356	858	498	161	109	25	0	4	8	10	5	705	424	281	159	97	32	0	5	6	11	8	651	434	217	499	1356	2188	3544	9	12	359	516	451	58	11940	3960	4167	3763	175	8504	2776	6702	8303	914	335	36.65%	654	208	68.20%	16	3962	7097	55.83%	3037	5533	54.89%	2725	4843	56.27%	6960	3811	5951	3140	6473	3131
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

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: 10 \| L: 2 \| OTL: 2 \| P: 22 GF: 69 \| GA: 52 \| PP%: 41.86% \| PK%: 69.39% GM : Tobias \| Morale : 96 \| Team Overall : 56 Next Games #242 vs Utica Comets