	Manitoba Moose
	GP: 43 \| W: 16 \| L: 23 \| OTL: 4 \| P: 36 GF: 114 \| GA: 140 \| PP%: 16.54% \| PK%: 81.66% GM : Toby \| Morale : 50 \| Team Overall : 61 Next Games #701 vs Utica Comets

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Winnipeg Jets
Home
Roster
Stats
Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	Milwaukee Admirals 28-13-3, 59pts	3	FINAL	2	Manitoba Moose 16-23-4, 36pts

Team Stats
L1	Streak	L1
13-6-2	Home Record	12-8-2
15-7-1	Home Record	4-15-2
7-3-0	Last 10 Games	2-6-2
3.39	Goals Per Game	2.65
2.82	Goals Against Per Game	3.26
16.48%	Power Play Percentage	16.54%
78.26%	Penalty Kill Percentage	81.66%

Manitoba Moose
16-23-4, 36pts

FINAL

Ontario Reign
21-19-4, 46pts

Team Stats
L1	Streak	W3
12-8-2	Home Record	13-7-2
4-15-2	Home Record	8-12-2
2-6-2	Last 10 Games	7-3-0
2.65	Goals Per Game	2.93
3.26	Goals Against Per Game	3.09
16.54%	Power Play Percentage	22.07%
81.66%	Penalty Kill Percentage	81.93%

Manitoba Moose
16-23-4, 36pts

2026-07-19

Utica Comets
19-15-10, 48pts

Team Stats
L1	Streak	OTL1
12-8-2	Home Record	12-5-4
4-15-2	Away Record	7-10-6
2-6-2	Last 10 Games	2-5-3
2.65	Goals Per Game	3.18
3.26	Goals Against Per Game	3.18
16.54%	Power Play Percentage	23.65%
81.66%	Penalty Kill Percentage	81.02%

Cleveland Monsters
23-20-1, 47pts

2026-07-21

Manitoba Moose
16-23-4, 36pts

Team Stats
W4	Streak	L1
12-9-1	Home Record	12-8-2
11-11-0	Away Record	4-15-2
5-5-0	Last 10 Games	2-6-2
3.23	Goals Per Game	2.65
3.25	Goals Against Per Game	2.65
19.50%	Power Play Percentage	16.54%
82.07%	Penalty Kill Percentage	81.66%

Manitoba Moose
16-23-4, 36pts

2026-07-23

Hartford Wolf Pack
18-20-6, 42pts

Team Stats
L1	Streak	L1
12-8-2	Home Record	11-9-1
4-15-2	Away Record	7-11-5
2-6-2	Last 10 Games	6-3-1
2.65	Goals Per Game	3.00
3.26	Goals Against Per Game	3.00
16.54%	Power Play Percentage	16.78%
81.66%	Penalty Kill Percentage	80.00%

Team Leaders
	Goals Brendan Brisson 15	Assists Samuel Blais 20

	Points Vinnie Hinostroza 34	Plus/Minus Rem Pitlick 9

	Wins Daniel Vladar 8	Save Percentage Yegor Velmakin 0.917

Team Stats
Goals For 114 2.65 GFG	Shots For 1195 27.79 Avg	Power Play Percentage 16.5% 22 GF	Offensive Zone Start 36.3%
Goals Against 140 3.26 GAA	Shots Against 1521 35.37 Avg	Penalty Kill Percentage 81.7%% 42 GA	Defensive Zone Start 45.2%

Team Info
	General Manager	Toby
	Division	Division 1
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,445
	Season Tickets	0
Roster Info
	Pro Team	28
	Farm Team	18
	Contract Limit	46 / 55
	Prospects	8
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	37,100,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	0
Finance
	Year to Date Revenue	833,205$
	Year To Date Expenses	14,135,192$
	Estimated Season Revenue	719,586$
	Estimated Season Expenses	13,408,902$
	Current Bank Account	0$
	Projected Bank Account	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	Brendan Brisson	0	X	X	X		98.00	78	51	87	70	68	85	79	77	46	84	72	70	25	50	50	75	50	68	0	24	5	1,250,000$
2	Rem Pitlick	0	X		X		98.00	74	69	86	75	72	81	79	68	50	65	65	70	62	68	68	56	50	66	0	29	4	1,380,000$
3	Vinnie Hinostroza	0		X	X		99.00	65	42	93	81	64	56	62	76	42	65	62	74	75	77	77	29	50	65	0	32	4	1,350,000$
4	Samuel Blais	0			X		96.00	99	76	70	82	78	58	79	63	31	61	56	64	75	72	74	48	50	64	0	29	4	950,000$
5	Brett Murray	0		X			100.00	90	91	73	69	92	85	77	62	50	56	63	71	59	57	57	54	50	64	0	27	4	750,000$
6	Seth Griffith	0	X		X		100.00	68	64	88	65	67	80	86	69	82	71	63	66	56	59	59	30	50	64	0	33	4	1,150,000$
7	Danny Zhilkin	0	X				96.00	53	50	86	75	75	74	95	70	68	59	71	58	74	60	60	84	50	64	0	22	6	1,350,000$
8	Tyler Pitlick	0			X		100.00	93	60	83	77	75	65	73	61	31	58	55	67	25	79	79	13	50	63	0	34	1	850,000$
9	Curtis McKenzie	56		X			100.00	77	76	81	65	77	77	79	61	50	62	58	69	55	55	56	14	50	62	0	35	2	750,000$
10	Martin Kaut	0			X		99.00	62	42	97	80	64	66	74	67	34	62	62	67	25	57	57	68	50	62	0	26	5	975,000$
11	Givani Smith	0			X		100.00	86	92	69	71	79	52	63	62	37	58	56	64	25	69	70	56	50	60	0	28	5	750,000$
12	Andreas Englund	0				X	100.00	93	99	64	70	76	64	86	62	25	51	49	71	25	70	68	46	50	66	0	30	5	1,650,000$
13	Sean Day	0				X	100.00	92	91	81	65	91	71	73	53	25	49	43	74	40	50	50	59	50	64	0	28	4	1,350,000$
14	Dylan McIlrath	0				X	100.00	88	94	52	63	93	74	78	47	25	35	41	69	39	67	67	14	50	63	0	34	2	750,000$
15	Cale Fleury	0				X	100.00	75	72	87	74	76	57	57	62	25	59	52	70	41	58	58	58	50	62	0	27	3	750,000$
16	Lucas Carlsson	0				X	100.00	71	71	71	65	70	71	72	63	25	54	57	63	52	56	56	59	50	61	0	28	5	750,000$
17	Christian Wolanin	0				X	100.00	76	72	82	65	70	68	68	56	25	54	42	68	40	68	68	47	50	61	0	31	1	1,400,000$
18	Chris Wideman	0				X	100.00	65	54	56	73	65	61	70	64	25	49	46	66	25	72	72	10	50	61	0	36	5	700,000$
Scratches
1	Matthew Peca	0	X	X			100.00	69	63	89	66	64	62	64	64	81	63	60	65	58	62	62	31	50	60	0	32	2	750,000$
2	Tyson Kozak (R)	0	X				100.00	71	63	89	66	64	62	64	51	64	47	50	59	48	50	50	74	50	54	0	23	5	700,000$
3	Eetu Liukas (R)	0		X	X		100.00	71	69	82	69	76	57	60	48	50	44	46	61	44	51	51	73	50	53	0	23	5	700,000$
4	Tyrel Bauer (R)	0				X	100.00	68	73	66	68	80	61	67	45	25	34	40	58	38	51	51	73	50	56	0	24	5	700,000$
5	Jared McIsaac	0				X	100.00	72	66	93	67	71	56	59	49	25	41	42	61	39	49	49	70	50	56	0	26	1	700,000$
6	Artem Guryev (R)	0				X	100.00	69	82	40	68	89	54	56	44	25	32	41	58	39	50	50	84	50	55	0	22	5	725,000$
7	Oskari Laaksonen	61				X	100.00	71	65	84	63	64	66	69	48	25	40	40	59	38	51	51	68	50	55	0	26	1	700,000$

	TEAM AVERAGE						99.44	76	70	78	70	74	67	72	60	40	54	53	66	45	60	60	52	50	61

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	Daniel Vladar	0	97.00	60	57	54	74	65	68	79	73	76	60	75	58	59	59	50	66	0	28	5	1,500,000$
2	Yegor Velmakin (R)	0	98.00	62	56	53	66	59	72	74	77	74	62	62	59	59	85	50	65	0	23	6	1,450,000$
Scratches
1	Zane McIntyre	0	100.00	47	50	63	78	57	46	50	53	47	48	30	55	55	14	50	53	0	33	1	700,000$

	TEAM AVERAGE		98.33	56	54	57	73	60	62	68	68	66	57	56	57	58	53	50	61

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	S1	S2	S3
1	Vinnie Hinostroza	Manitoba Moose (WPG)	LW/RW	43	15	19	34	-9	2	24	79	148	37	108	10.14%	14	798	18.58	2	3	5	19	61	0	0	0	3	91	0	0	40.79%	76	1	0.85	1	3	2	0	1
2	Brendan Brisson	Manitoba Moose (WPG)	C/LW/RW	33	15	15	30	2	12	67	81	120	34	83	12.50%	14	678	20.55	4	7	11	23	63	0	0	0	5	82	2	1	35.46%	767	0	0.88	0	2	3	2	1
3	Samuel Blais	Manitoba Moose (WPG)	RW	43	6	20	26	-3	78	172	69	105	31	69	5.71%	8	884	20.56	0	7	7	23	97	0	0	0	3	81	1	0	37.50%	72	0	0.59	0	3	0	3	1
4	Danny Zhilkin	Manitoba Moose (WPG)	C	43	12	14	26	-4	0	1	102	129	30	78	9.30%	8	906	21.09	3	3	6	28	86	0	1	1	5	133	1	0	51.50%	934	0	0.57	2	6	0	0	2
5	Seth Griffith	Manitoba Moose (WPG)	C/RW	43	12	12	24	3	6	24	55	100	27	71	12.00%	17	826	19.23	2	3	5	13	68	1	0	1	2	119	1	0	53.73%	322	0	0.58	2	4	1	3	0
6	Rem Pitlick	Manitoba Moose (WPG)	C/RW	43	5	15	20	9	20	77	72	101	27	78	4.95%	17	845	19.66	2	2	4	23	102	2	1	3	4	162	1	1	44.52%	456	0	0.47	2	5	1	0	2
7	Cale Fleury	Manitoba Moose (WPG)	D	43	1	18	19	-1	30	70	28	36	9	33	2.78%	39	729	16.96	0	2	2	13	49	0	1	1	0	76	0	1	0%	0	0	0.52	0	1	0	2	0
8	Sean Day	Manitoba Moose (WPG)	D	43	8	9	17	2	36	77	38	49	14	43	16.33%	67	969	22.55	4	1	5	17	105	0	0	0	3	170	2	1	0%	0	0	0.35	1	1	3	0	0
9	Martin Kaut	Manitoba Moose (WPG)	RW	43	7	8	15	-8	0	6	77	69	19	68	10.14%	10	673	15.67	0	1	1	8	48	0	1	1	0	52	0	1	31.38%	752	0	0.45	0	1	0	0	1
10	Curtis McKenzie	Manitoba Moose (WPG)	LW	43	7	7	14	-4	4	16	39	94	20	65	7.45%	9	707	16.46	2	3	5	18	102	0	0	0	0	3	1	1	41.67%	48	0	0.40	1	1	0	1	1
11	Andreas Englund	Manitoba Moose (WPG)	D	41	4	9	13	-5	70	160	39	43	9	28	9.30%	55	868	21.17	2	3	5	20	74	0	0	0	0	130	0	1	0%	0	0	0.30	0	0	0	1	2
12	Lucas Carlsson	Manitoba Moose (WPG)	D	43	1	12	13	0	26	86	21	25	14	25	4.00%	55	790	18.38	1	2	3	7	44	0	2	2	0	137	0	0	0%	0	0	0.33	1	1	0	0	1
13	Brett Murray	Manitoba Moose (WPG)	LW	36	7	4	11	-13	54	99	20	41	11	38	17.07%	7	486	13.51	0	0	0	0	1	0	0	0	0	8	2	0	25.00%	24	0	0.45	0	1	0	2	0
14	Dylan McIlrath	Manitoba Moose (WPG)	D	43	1	9	10	0	92	159	19	27	14	27	3.70%	62	922	21.46	0	2	2	9	104	0	0	0	1	140	0	0	0%	0	0	0.22	0	0	0	0	1
15	Matthew Peca	Manitoba Moose (WPG)	C/LW	14	2	6	8	5	2	3	10	22	11	18	9.09%	2	176	12.59	0	0	0	0	0	0	0	0	0	6	0	0	28.57%	14	0	0.91	0	0	0	1	0
16	Givani Smith	Manitoba Moose (WPG)	RW	33	2	4	6	3	10	30	14	16	3	10	12.50%	5	156	4.75	0	0	0	3	6	0	0	0	0	1	0	0	23.08%	13	0	0.77	0	0	2	0	0
17	Tyler Pitlick	Manitoba Moose (WPG)	RW	43	3	3	6	2	2	16	7	18	4	11	16.67%	0	92	2.15	0	0	0	2	3	0	0	0	0	0	1	0	62.50%	8	0	1.30	0	0	2	0	0
18	Christian Wolanin	Manitoba Moose (WPG)	D	32	0	2	2	-1	4	5	14	3	0	4	0%	13	322	10.08	0	0	0	0	1	0	0	0	0	9	0	0	0%	0	0	0.12	0	0	0	0	0
19	Chris Wideman	Manitoba Moose (WPG)	D	31	0	0	0	0	0	0	2	1	0	0	0%	2	37	1.21	0	0	0	0	0	0	0	0	0	1	0	0	0%	0	0	0	0	0	0	0	0
Team Total or Average				736	108	186	294	-22	448	1092	786	1147	314	857	9.42%	404	11873	16.13	22	39	61	226	1021	3	6	9	26	1410	12	7	41.91%	3486	1	0.50	10	29	14	15	13

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	GS	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	BG	S1	S2
1	Daniel Vladar	Manitoba Moose (WPG)	23	23	8	12	3	0.908	3.24	1390	4	0	75	811	0	1	1	0.417	12	10	1	3
2	Yegor Velmakin	Manitoba Moose (WPG)	20	20	8	11	1	0.917	2.91	1215	2	1	59	707	0	1	2	0.765	17	22	2	1
Team Total or Average			43	16	23	4	0.912	3.09	2605	6	1	134	1518	0	2	3		29	43	32	3	4

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
Andreas Englund	Manitoba Moose (WPG)	D	30	1996-01-21	SWE	No	200 Lbs	6 ft4	No	No	Assign Manually		No	No	5	2025-07-27	False	False	Pro & Farm	1,650,000$	0$	0$	No	1,650,000$	1,650,000$	1,650,000$	1,650,000$	-	-	-	-	-	1,650,000$	1,650,000$	1,650,000$	1,650,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Artem Guryev	Manitoba Moose (WPG)	D	22	2003-05-17	RUS	Yes	232 Lbs	6 ft4	No	No	Assign Manually		No	No	5	2025-07-27	False	False	Pro & Farm	725,000$	0$	0$	No	725,000$	725,000$	725,000$	725,000$	-	-	-	-	-	725,000$	725,000$	725,000$	725,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Brendan Brisson	Manitoba Moose (WPG)	C/LW/RW	24	2001-10-22	USA	No	190 Lbs	5 ft11	No	No	Trade	2026-03-20	No	No	5	2025-07-27	False	False	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	1,250,000$	1,250,000$	1,250,000$	-	-	-	-	-	1,250,000$	1,250,000$	1,250,000$	1,250,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Brett Murray	Manitoba Moose (WPG)	LW	27	1998-07-19	ONT	No	239 Lbs	6 ft5	No	No	Assign Manually		No	No	4	2025-01-15	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Cale Fleury	Manitoba Moose (WPG)	D	27	1998-11-18	AB	No	207 Lbs	6 ft1	No	No	Assign Manually		No	No	3	2025-08-30	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Chris Wideman	Manitoba Moose (WPG)	D	36	1990-01-07	USA	No	185 Lbs	5 ft10	No	No	Trade	2026-03-31	No	No	5	2025-07-27	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Christian Wolanin	Manitoba Moose (WPG)	D	31	1995-03-17	QUE	No	188 Lbs	6 ft2	No	No	Trade	2026-03-20	No	No	1	2024-12-29	False	False	Pro & Farm	1,400,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Curtis McKenzie	Manitoba Moose (WPG)	LW	35	1991-02-22	BC	No	208 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2025-08-31	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Daniel Vladar	Manitoba Moose (WPG)	G	28	1997-08-20	CZE	No	192 Lbs	6 ft5	No	No	Assign Manually		No	No	5	2025-07-27	False	False	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	1,500,000$	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Danny Zhilkin	Manitoba Moose (WPG)	C	22	2003-12-19	RUS	No	205 Lbs	6 ft1	No	No	Assign Manually	2025-09-03	No	No	6	2026-03-20	False	False	Pro & Farm	1,350,000$	0$	0$	No	1,350,000$	1,350,000$	1,350,000$	1,350,000$	1,350,000$	-	-	-	-	1,350,000$	1,350,000$	1,350,000$	1,350,000$	1,350,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Dylan McIlrath	Manitoba Moose (WPG)	D	34	1992-04-20	MAN	No	240 Lbs	6 ft5	No	No	Assign Manually		No	No	2	2025-08-30	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Eetu Liukas	Manitoba Moose (WPG)	LW/RW	23	2002-09-25	FIN	Yes	205 Lbs	6 ft2	No	No	Trade	2026-03-31	No	No	5	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Givani Smith	Manitoba Moose (WPG)	RW	28	1998-02-27	ONT	No	214 Lbs	6 ft2	No	No	Assign Manually		No	No	5	2025-08-30	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	-	-	-	-	-	750,000$	750,000$	750,000$	750,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Jared McIsaac	Manitoba Moose (WPG)	D	26	2000-03-27	NS	No	195 Lbs	6 ft1	No	No	Trade	2026-01-19	No	No	1	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Lucas Carlsson	Manitoba Moose (WPG)	D	28	1997-07-05	SWE	No	195 Lbs	6 ft0	No	No	Assign Manually		No	No	5	2025-08-30	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	-	-	-	-	-	750,000$	750,000$	750,000$	750,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Martin Kaut	Manitoba Moose (WPG)	RW	26	1999-10-02	CZE	No	176 Lbs	6 ft1	No	No	Assign Manually		No	No	5	2025-08-30	False	False	Pro & Farm	975,000$	0$	0$	No	975,000$	975,000$	975,000$	975,000$	-	-	-	-	-	975,000$	975,000$	975,000$	975,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Matthew Peca	Manitoba Moose (WPG)	C/LW	32	1993-04-27	ONT	No	184 Lbs	5 ft9	No	No	Assign Manually		No	No	2	2025-08-31	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Oskari Laaksonen	Manitoba Moose (WPG)	D	26	1999-07-02	FIN	No	175 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2026-04-16	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Rem Pitlick	Manitoba Moose (WPG)	C/RW	29	1997-04-02	ONT	No	202 Lbs	5 ft11	No	No	Assign Manually		No	No	4	2025-01-14	False	False	Pro & Farm	1,380,000$	0$	0$	No	1,380,000$	1,380,000$	1,380,000$	-	-	-	-	-	-	1,380,000$	1,380,000$	1,380,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Samuel Blais	Manitoba Moose (WPG)	RW	29	1996-06-17	QUE	No	211 Lbs	6 ft2	No	No	Trade	2025-01-16	No	No	4	2024-12-29	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	950,000$	-	-	-	-	-	-	950,000$	950,000$	950,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Sean Day	Manitoba Moose (WPG)	D	28	1998-01-09	BGM	No	241 Lbs	6 ft3	No	No	Assign Manually	2024-09-19	No	No	4	2025-01-15	False	False	Pro & Farm	1,350,000$	0$	0$	No	1,350,000$	1,350,000$	1,350,000$	-	-	-	-	-	-	1,350,000$	1,350,000$	1,350,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Seth Griffith	Manitoba Moose (WPG)	C/RW	33	1993-01-04	ONT	No	195 Lbs	5 ft9	No	No	Assign Manually		No	No	4	2025-01-15	False	False	Pro & Farm	1,150,000$	0$	0$	No	1,150,000$	1,150,000$	1,150,000$	-	-	-	-	-	-	1,150,000$	1,150,000$	1,150,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Tyler Pitlick	Manitoba Moose (WPG)	RW	34	1991-11-01	USA	No	203 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-01-15	False	False	Pro & Farm	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tyrel Bauer	Manitoba Moose (WPG)	D	24	2002-03-23	AB	Yes	213 Lbs	6 ft3	No	No	Trade	2025-09-01	No	No	5	2025-07-27	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Tyson Kozak	Manitoba Moose (WPG)	C	23	2002-12-29	MB	Yes	179 Lbs	5 ft11	No	No	Trade	2026-03-31	No	No	5	2025-08-31	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Vinnie Hinostroza	Manitoba Moose (WPG)	LW/RW	32	1994-04-03	USA	No	183 Lbs	5 ft10	No	No	Assign Manually		No	No	4	2025-01-15	False	False	Pro & Farm	1,350,000$	0$	0$	No	1,350,000$	1,350,000$	1,350,000$	-	-	-	-	-	-	1,350,000$	1,350,000$	1,350,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Yegor Velmakin	Manitoba Moose (WPG)	G	23	2003-04-08	RUS	Yes	179 Lbs	6 ft2	No	No	Assign Manually		No	No	6	2026-03-20	False	False	Pro & Farm	1,450,000$	0$	0$	No	1,450,000$	1,450,000$	1,450,000$	1,450,000$	1,450,000$	-	-	-	-	1,450,000$	1,450,000$	1,450,000$	1,450,000$	1,450,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Zane McIntyre	Manitoba Moose (WPG)	G	33	1992-08-20	USA	No	209 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2026-07-14	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	28.32	202 Lbs	6 ft1	3.75	981,429$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Rem Pitlick	Brendan Brisson	Seth Griffith	30	1	2	2
2	Curtis McKenzie	Danny Zhilkin	Samuel Blais	30	1	2	2
3	Vinnie Hinostroza	Martin Kaut	Brett Murray	25	1	2	2
4	Danny Zhilkin	Brendan Brisson	Samuel Blais	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Andreas Englund	Christian Wolanin	30	1	2	2
2	Sean Day	Dylan McIlrath	30	1	2	2
3	Cale Fleury	Lucas Carlsson	25	1	2	2
4	Dylan McIlrath	Sean Day	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Vinnie Hinostroza	Brendan Brisson	Martin Kaut	60	1	2	2
2	Curtis McKenzie	Danny Zhilkin	Samuel Blais	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lucas Carlsson	Cale Fleury	60	1	2	2
2	Sean Day	Dylan McIlrath	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Martin Kaut	Vinnie Hinostroza	60	1	2	2
2	Danny Zhilkin	Samuel Blais	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cale Fleury	Sean Day	60	1	2	2
2	Lucas Carlsson	Dylan McIlrath	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Samuel Blais	60	1	2	2	Lucas Carlsson	Cale Fleury	60	1	2	2
2	Danny Zhilkin	40	1	2	2	Sean Day	Dylan McIlrath	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vinnie Hinostroza	Martin Kaut	60	1	2	2
2	Danny Zhilkin	Samuel Blais	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cale Fleury	Lucas Carlsson	60	1	2	2
2	Sean Day	Dylan McIlrath	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Rem Pitlick	Brendan Brisson	Vinnie Hinostroza	Dylan McIlrath	Sean Day

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Rem Pitlick	Brendan Brisson	Vinnie Hinostroza	Dylan McIlrath	Sean Day

Extra Forwards
Normal	PowerPlay	Penalty Kill
Martin Kaut, Samuel Blais, Danny Zhilkin	Martin Kaut, Danny Zhilkin	Danny Zhilkin

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Cale Fleury, Lucas Carlsson, Sean Day	Cale Fleury	Lucas Carlsson, Sean Day

Penalty Shots
Brendan Brisson, Danny Zhilkin, Vinnie Hinostroza, Samuel Blais, Martin Kaut

Goalie
#1 : Daniel Vladar, #2 : Yegor Velmakin

Custom OT Lines Forwards
Rem Pitlick, Brendan Brisson, Seth Griffith, Samuel Blais, Vinnie Hinostroza, Danny Zhilkin, Danny Zhilkin, Tyler Pitlick, Brett Murray, Curtis McKenzie, Martin Kaut

Custom OT Lines Defensemen
Christian Wolanin, Sean Day, Lucas Carlsson, Dylan McIlrath, Cale Fleury

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Abbotsford Canucks	3	1	2	0	0	0	0	0	5	8	-3	0	0	0	0	0	0	0	0	0	0	0	3	1	2	0	0	0	0	0	5	8	-3	2	0.333	5	9	14	0	0	40	35	35	11	85	397	387	399	41	95	31	30	73	15	1	6.67%	15	1	93.33%	1	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
2	Bakersfield Condors	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	4	7	0	0	40	35	35	11	39	397	387	399	41	35	13	12	28	6	2	33.33%	6	1	83.33%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
3	Bridgeport Islanders	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	40	35	35	11	32	397	387	399	41	49	11	14	39	2	0	0.00%	7	2	71.43%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
4	Charlotte Checkers	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	1	0	40	35	35	11	26	397	387	399	41	40	8	10	23	4	1	25.00%	5	1	80.00%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
5	Coachella Valley Firebirds	2	0	2	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	2	7	-5	0	0.000	2	3	5	0	0	40	35	35	11	68	397	387	399	41	73	17	28	53	4	0	0.00%	14	5	64.29%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
6	Colorado Eagles	4	3	1	0	0	0	0	0	16	11	5	4	3	1	0	0	0	0	0	16	11	5	0	0	0	0	0	0	0	0	0	0	0	6	0.750	16	30	46	0	0	40	35	35	11	123	397	387	399	41	111	35	34	99	15	1	6.67%	17	4	76.47%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
7	Grand Rapids Griffins	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	4	3	1	2	1.000	4	5	9	0	0	40	35	35	11	31	397	387	399	41	20	11	8	27	5	1	20.00%	4	0	100.00%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
8	Hartford Wolf Pack	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	40	35	35	11	34	397	387	399	41	17	7	10	15	6	1	16.67%	5	1	80.00%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
9	Henderson Silver Knights	2	0	2	0	0	0	0	0	4	9	-5	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	4	9	-5	0	0.000	4	8	12	0	0	40	35	35	11	41	397	387	399	41	91	22	36	52	8	2	25.00%	18	2	88.89%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
10	Hershey Bears	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	40	35	35	11	30	397	387	399	41	32	10	6	19	1	0	0.00%	3	1	66.67%	1	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
11	Iowa Wild	2	0	1	0	0	0	1	0	5	5	0	2	0	1	0	0	0	1	0	5	5	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	5	8	13	0	0	40	35	35	11	65	397	387	399	41	83	22	12	57	9	0	0.00%	6	0	100.00%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
12	Lehigh Valley Phantoms	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	4	7	0	0	40	35	35	11	32	397	387	399	41	26	10	12	26	5	1	20.00%	6	0	100.00%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
13	Milwaukee Admirals	2	0	0	0	0	0	0	2	7	9	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	5	6	-1	2	0.500	7	11	18	0	0	40	35	35	11	52	397	387	399	41	77	20	16	47	5	2	40.00%	8	1	87.50%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
14	Ontario Reign	3	0	2	0	0	0	0	1	6	13	-7	1	0	0	0	0	0	0	1	4	5	-1	2	0	2	0	0	0	0	0	2	8	-6	1	0.167	6	9	15	0	0	40	35	35	11	78	397	387	399	41	110	35	36	65	5	2	40.00%	18	4	77.78%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
15	Providence Bruins	3	1	1	0	1	0	0	0	11	11	0	2	1	0	0	1	0	0	0	8	6	2	1	0	1	0	0	0	0	0	3	5	-2	4	0.667	11	18	29	0	0	40	35	35	11	83	397	387	399	41	101	27	32	89	5	2	40.00%	16	1	93.75%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
16	Rockford IceHogs	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	2	3	-1	1	0.500	2	4	6	0	0	40	35	35	11	21	397	387	399	41	37	13	8	21	3	0	0.00%	4	1	75.00%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
17	San Jose Barracuda	7	1	6	0	0	0	0	0	17	25	-8	4	1	3	0	0	0	0	0	12	15	-3	3	0	3	0	0	0	0	0	5	10	-5	2	0.143	17	30	47	2	0	40	35	35	11	154	397	387	399	41	293	77	86	154	17	4	23.53%	43	10	76.74%	1	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
18	Syracuse Crunch	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	40	35	35	11	35	397	387	399	41	15	4	10	30	3	0	0.00%	5	2	60.00%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
19	Texas Stars	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	40	35	35	11	25	397	387	399	41	28	13	10	22	5	1	20.00%	5	1	80.00%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
20	Toronto Marlies	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	4	3	1	4	1.000	6	11	17	0	1	40	35	35	11	65	397	387	399	41	62	20	14	58	5	0	0.00%	7	1	85.71%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
21	Tucson Roadrunners	2	1	1	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	8	15	23	0	0	40	35	35	11	49	397	387	399	41	80	23	28	68	2	0	0.00%	14	3	78.57%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
22	Wilkes-Barre/Scranton Penguins	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	40	35	35	11	27	397	387	399	41	46	14	6	30	3	1	33.33%	3	0	100.00%	0	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
	Total	43	12	23	0	1	1	3	3	114	140	-26	22	10	8	0	1	0	1	2	68	64	4	21	2	15	0	0	1	2	1	46	76	-30	36	0.419	114	195	309	3	1	40	35	35	11	1195	397	387	399	41	1521	443	458	1095	133	22	16.54%	229	42	81.66%	3	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
	_Since Last GM Reset	43	12	23	0	1	1	3	3	114	140	-26	22	10	8	0	1	0	1	2	68	64	4	21	2	15	0	0	1	2	1	46	76	-30	36	0.419	114	195	309	3	1	40	35	35	11	1195	397	387	399	41	1521	443	458	1095	133	22	16.54%	229	42	81.66%	3	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
	_Vs Conference	23	6	15	0	1	0	0	1	61	81	-20	12	6	4	0	1	0	0	1	40	37	3	11	0	11	0	0	0	0	0	21	44	-23	15	0.326	61	105	166	2	0	40	35	35	11	595	397	387	399	41	860	240	276	587	57	13	22.81%	138	26	81.16%	2	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258
	_Vs Division	5	3	10	0	1	0	0	1	13	14	-1	4	3	3	0	1	0	0	1	11	10	1	1	0	7	0	0	0	0	0	2	4	-2	9	0.900	13	22	35	0	0	40	35	35	11	155	397	387	399	41	170	52	48	129	17	3	17.65%	24	4	83.33%	1	581	1316	44.15%	690	1640	42.07%	294	673	43.68%	940	629	1124	332	547	258

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
43	36	L1	114	195	309	1195	1521	443	458	1095	3	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
43	12	23	1	1	3	3	114	140

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	10	8	1	0	1	2	68	64

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	2	15	0	1	2	1	46	76

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	6	0	0	0	2

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
133	22	16.54%	229	42	81.66%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
397	387	399	41	40	35	35	11

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
581	1316	44.15%	690	1640	42.07%	294	673	43.68%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
940	629	1124	332	547	258

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 - 2026-04-26	8	Colorado Eagles	3	Manitoba Moose	5	W			BoxScore
4 - 2026-04-28	28	Manitoba Moose	0	Abbotsford Canucks	2	L			BoxScore
6 - 2026-04-30	40	Colorado Eagles	2	Manitoba Moose	3	W			BoxScore
8 - 2026-05-02	58	Manitoba Moose	2	Henderson Silver Knights	5	L			BoxScore
9 - 2026-05-03	70	Manitoba Moose	2	Coachella Valley Firebirds	3	L			BoxScore
11 - 2026-05-05	85	Colorado Eagles	3	Manitoba Moose	2	L			BoxScore
13 - 2026-05-07	104	Manitoba Moose	3	Providence Bruins	5	L			BoxScore
15 - 2026-05-09	114	Colorado Eagles	3	Manitoba Moose	6	W			BoxScore
18 - 2026-05-12	138	San Jose Barracuda	4	Manitoba Moose	2	L			BoxScore
20 - 2026-05-14	154	Manitoba Moose	2	San Jose Barracuda	3	L			BoxScore
22 - 2026-05-16	169	San Jose Barracuda	4	Manitoba Moose	6	W			BoxScore
25 - 2026-05-19	193	Manitoba Moose	1	San Jose Barracuda	3	L			BoxScore
26 - 2026-05-20	206	Providence Bruins	3	Manitoba Moose	4	W			BoxScore
28 - 2026-05-22	225	Ontario Reign	5	Manitoba Moose	4	L	X	X	BoxScore
30 - 2026-05-24	237	Manitoba Moose	2	Henderson Silver Knights	4	L			BoxScore
32 - 2026-05-26	252	Manitoba Moose	2	Abbotsford Canucks	4	L			BoxScore
34 - 2026-05-28	271	Providence Bruins	3	Manitoba Moose	4	W	X		BoxScore
37 - 2026-05-31	290	Manitoba Moose	3	Abbotsford Canucks	2	W			BoxScore
38 - 2026-06-01	303	Lehigh Valley Phantoms	2	Manitoba Moose	3	W			BoxScore
41 - 2026-06-04	324	Iowa Wild	3	Manitoba Moose	4	W	X	X	BoxScore
42 - 2026-06-05	334	Manitoba Moose	2	Rockford IceHogs	3	L	X		BoxScore
44 - 2026-06-07	352	Manitoba Moose	2	Syracuse Crunch	3	L			BoxScore
46 - 2026-06-09	366	Texas Stars	4	Manitoba Moose	1	L			BoxScore
48 - 2026-06-11	384	Manitoba Moose	4	Grand Rapids Griffins	3	W	X	X	BoxScore
50 - 2026-06-13	398	Tucson Roadrunners	1	Manitoba Moose	5	W			BoxScore
53 - 2026-06-16	422	Hershey Bears	2	Manitoba Moose	4	W			BoxScore
55 - 2026-06-18	442	Manitoba Moose	4	Toronto Marlies	3	W			BoxScore
57 - 2026-06-20	453	San Jose Barracuda	3	Manitoba Moose	2	L			BoxScore
59 - 2026-06-22	477	Manitoba Moose	1	Ontario Reign	3	L			BoxScore
60 - 2026-06-23	483	Manitoba Moose	3	Tucson Roadrunners	5	L			BoxScore
62 - 2026-06-25	496	Bridgeport Islanders	5	Manitoba Moose	2	L			BoxScore
64 - 2026-06-27	514	Manitoba Moose	3	Bakersfield Condors	2	W	X	X	BoxScore
66 - 2026-06-29	530	Iowa Wild	2	Manitoba Moose	1	L			BoxScore
68 - 2026-07-01	547	Manitoba Moose	0	Coachella Valley Firebirds	4	L			BoxScore
69 - 2026-07-02	557	Hartford Wolf Pack	1	Manitoba Moose	2	W			BoxScore
72 - 2026-07-05	579	Manitoba Moose	2	Wilkes-Barre/Scranton Penguins	4	L			BoxScore
73 - 2026-07-06	590	Toronto Marlies	0	Manitoba Moose	2	W			BoxScore
75 - 2026-07-08	611	Charlotte Checkers	4	Manitoba Moose	2	L			BoxScore
78 - 2026-07-11	631	Manitoba Moose	2	San Jose Barracuda	4	L			BoxScore
79 - 2026-07-12	644	San Jose Barracuda	4	Manitoba Moose	2	L			BoxScore
81 - 2026-07-14	661	Manitoba Moose	5	Milwaukee Admirals	6	L	X	X	BoxScore
83 - 2026-07-16	677	Milwaukee Admirals	3	Manitoba Moose	2	L	X	X	BoxScore
85 - 2026-07-18	690	Manitoba Moose	1	Ontario Reign	5	L			BoxScore
86 - 2026-07-19	701	Manitoba Moose	-	Utica Comets	-
88 - 2026-07-21	718	Cleveland Monsters	-	Manitoba Moose	-
90 - 2026-07-23	730	Manitoba Moose	-	Hartford Wolf Pack	-
92 - 2026-07-25	749	Utica Comets	-	Manitoba Moose	-
95 - 2026-07-28	772	San Diego Gulls	-	Manitoba Moose	-
97 - 2026-07-30	791	Manitoba Moose	-	Bridgeport Islanders	-
99 - 2026-08-01	805	Belleville Senators	-	Manitoba Moose	-
101 - 2026-08-03	824	Manitoba Moose	-	Bridgeport Islanders	-
103 - 2026-08-05	839	Ontario Reign	-	Manitoba Moose	-
105 - 2026-08-07	852	Manitoba Moose	-	Belleville Senators	-
106 - 2026-08-08	869	Tucson Roadrunners	-	Manitoba Moose	-
108 - 2026-08-10	884	Manitoba Moose	-	Charlotte Checkers	-
110 - 2026-08-12	902	Manitoba Moose	-	Hershey Bears	-
111 - 2026-08-13	911	Bakersfield Condors	-	Manitoba Moose	-
114 - 2026-08-16	931	Manitoba Moose	-	Tucson Roadrunners	-
115 - 2026-08-17	943	San Jose Barracuda	-	Manitoba Moose	-
118 - 2026-08-20	963	Laval Rocket	-	Manitoba Moose	-
119 - 2026-08-21	974	Manitoba Moose	-	Henderson Silver Knights	-
122 - 2026-08-24	997	Colorado Eagles	-	Manitoba Moose	-
124 - 2026-08-26	1011	Manitoba Moose	-	Calgary Wranglers	-
Trade Deadline --- Trades can’t be done after this day is simulated!
126 - 2026-08-28	1030	Colorado Eagles	-	Manitoba Moose	-
128 - 2026-08-30	1044	Manitoba Moose	-	Providence Bruins	-
130 - 2026-09-01	1057	Manitoba Moose	-	Rochester Americans	-
132 - 2026-09-03	1072	Wilkes-Barre/Scranton Penguins	-	Manitoba Moose	-
134 - 2026-09-05	1088	Manitoba Moose	-	Cleveland Monsters	-
135 - 2026-09-06	1100	Manitoba Moose	-	Belleville Senators	-
137 - 2026-09-08	1111	Syracuse Crunch	-	Manitoba Moose	-
139 - 2026-09-10	1130	Chicago Wolves	-	Manitoba Moose	-
142 - 2026-09-13	1155	Henderson Silver Knights	-	Manitoba Moose	-
143 - 2026-09-14	1162	Manitoba Moose	-	Charlotte Checkers	-
145 - 2026-09-16	1173	Manitoba Moose	-	Lehigh Valley Phantoms	-
147 - 2026-09-18	1189	Manitoba Moose	-	San Diego Gulls	-
149 - 2026-09-20	1205	Manitoba Moose	-	Cleveland Monsters	-
150 - 2026-09-21	1213	Wilkes-Barre/Scranton Penguins	-	Manitoba Moose	-
152 - 2026-09-23	1229	Manitoba Moose	-	Springfield Thunderbirds	-
154 - 2026-09-25	1243	Coachella Valley Firebirds	-	Manitoba Moose	-
158 - 2026-09-29	1271	Hershey Bears	-	Manitoba Moose	-
161 - 2026-10-02	1292	Hershey Bears	-	Manitoba Moose	-
162 - 2026-10-03	1294	Manitoba Moose	-	Colorado Eagles	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	41,340	12,456
Attendance PCT	93.95%	56.62%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
19	2445 - 81.51%	37,873$	833,205$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
14,135,192$	27,480,000$	27,480,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	14,135,192$	0$	0	0

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary	Sum Year 6 Salary
27,480,000$ Retained salaries: 0$	23,130,000$ Retained salaries: 0$	20,880,000$ Retained salaries: 0$	20,130,000$ Retained salaries: 0$	13,200,000$ Retained salaries: 0$	2,800,000$ Retained salaries: 0$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
0$	37,100,000$	37,100,000$	-60,200,000$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
719,586$	81	165,542$	13,408,902$

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	GS	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	GS	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Back to the Top