Jets
Home
Roster
Scoring
Salary Cap
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	Penguins 6-1-1, 13pts	2	FINAL	1	Moose 4-2-0, 8pts

Team Stats
W4	Streak	W1
3-0-0	Home Record	2-2-0
3-1-1	Home Record	2-0-0
6-1-1	Last 10 Games	4-2-0
4.13	Goals Per Game	5.33
2.63	Goals Against Per Game	3.17
44.44%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	75.00%

Moose
4-2-0, 8pts

FINAL

Thunderbirds
4-3-0, 8pts

Team Stats
W1	Streak	L1
2-2-0	Home Record	2-2-0
2-0-0	Home Record	2-1-0
4-2-0	Last 10 Games	4-3-0
5.33	Goals Per Game	4.43
3.17	Goals Against Per Game	4.57
0.00%	Power Play Percentage	0.00%
75.00%	Penalty Kill Percentage	87.50%

Moose
4-2-0, 8pts

2024-10-24

Firebirds
4-3-0, 8pts

Team Stats
W1	Streak	L1
2-2-0	Home Record	2-2-0
2-0-0	Away Record	2-1-0
4-2-0	Last 10 Games	4-3-0
5.33	Goals Per Game	4.14
3.17	Goals Against Per Game	4.14
0.00%	Power Play Percentage	14.29%
75.00%	Penalty Kill Percentage	75.00%

Moose
4-2-0, 8pts

2024-10-26

Wranglers
2-4-0, 4pts

Team Stats
W1	Streak	L2
2-2-0	Home Record	1-2-0
2-0-0	Away Record	1-2-0
4-2-0	Last 10 Games	2-4-0
5.33	Goals Per Game	3.17
3.17	Goals Against Per Game	3.17
0.00%	Power Play Percentage	0.00%
75.00%	Penalty Kill Percentage	33.33%

Marlies
5-2-0, 10pts

2024-10-28

Moose
4-2-0, 8pts

Team Stats
W5	Streak	W1
4-0-0	Home Record	2-2-0
1-2-0	Away Record	2-0-0
5-2-0	Last 10 Games	4-2-0
4.14	Goals Per Game	5.33
2.86	Goals Against Per Game	5.33
25.00%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	75.00%

Team Leaders
	Goals Jack Quinn 7	Assists Olen Zellweger 8

	Points Olen Zellweger 10	Plus/Minus Ryan Johnson 9

	Wins Arturs Silovs 4	Save Percentage Arturs Silovs 0.91

Team Stats
Goals For 32 5.33 GFG	Shots For 228 38.00 Avg	Power Play Percentage 0.0% 0 GF	Offensive Zone Start 37.5%
Goals Against 19 3.17 GAA	Shots Against 211 35.17 Avg	Penalty Kill Percentage 75.0%% 1 GA	Defensive Zone Start 31.7%

Team Info
	General Manager	Kyle Smith
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	5,000
	Attendance	5,000
	Season Tickets	5,000
Roster Info
	Pro Team	24
	Farm Team	23
	Contract Limit	47 / 55
	Prospects	23

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	Jack Quinn (R)	0			X		100.00	61	52	96	83	87	65	55	88	41	78	76	45	82	88	82	0	50	82	0	21	1	925,000$
2	Peyton Krebs (R)	0	X				100.00	64	54	92	79	83	56	97	84	61	74	71	53	77	84	77	0	50	79	0	22	1	925,000$
3	Jaret Anderson-Dolan	0	X	X	X		100.00	67	51	97	77	81	47	55	84	48	73	71	45	77	84	77	0	50	77	0	23	2	927,750$
4	Graeme Clarke (R)	0	X	X	X		100.00	45	64	83	73	76	80	93	78	36	60	68	40	73	25	40	0	50	72	0	22	1	925,000$
5	Chaz Lucius (R)	0	X				100.00	46	36	83	73	79	58	45	78	65	63	67	40	73	25	40	0	50	71	0	20	2	925,000$
6	Kieffer Bellows (R)	0		X			100.00	46	56	82	74	76	61	71	78	36	60	69	40	74	25	40	0	50	71	0	25	2	750,000$
7	Luke Henman (R)	0	X	X	X		100.00	45	64	83	71	75	79	91	76	65	56	67	40	71	25	40	0	50	70	0	23	1	925,000$
8	Matthew Maggio (R)	0	X	X	X		100.00	45	61	84	72	76	72	83	77	65	57	67	40	72	25	40	0	50	70	0	20	3	870,000$
9	Justin Sourdif (R)	0	X	X	X		100.00	47	54	80	73	76	58	65	78	36	61	67	40	72	25	40	0	50	70	0	21	1	847,500$
10	Felix Robert (R)	0	X				100.00	46	58	82	72	76	65	75	78	65	59	67	40	72	25	40	0	50	70	0	23	2	854,058$
11	Ben McCartney (R)	0	X	X	X		100.00	48	53	78	72	76	58	61	77	36	59	67	40	72	25	40	0	50	69	0	21	1	813,333$
12	Tyler Benson (R)	0	X	X	X		100.00	45	52	83	72	76	58	58	77	36	60	67	40	72	25	40	0	50	69	0	25	1	770,750$
13	Olen Zellweger (R)	0				X	100.00	58	51	97	80	82	71	55	88	40	76	72	54	80	88	80	0	50	84	0	19	3	844,167$
14	Matthew Kessel (R)	0				X	100.00	59	51	97	77	83	60	55	86	40	72	70	54	78	86	78	0	50	81	0	23	1	925,000$
15	Ryan Johnson (R)	0				X	100.00	57	52	96	77	83	51	55	86	40	74	69	51	77	86	77	0	50	79	0	21	2	925,000$
16	Jack Thompson (R)	0				X	100.00	45	66	84	72	76	83	97	77	36	60	66	43	72	25	40	0	50	74	0	21	1	828,333$
17	Sean Day	0				X	100.00	45	62	83	71	75	74	86	76	36	58	66	44	71	25	40	0	50	72	0	25	1	770,750$
18	David Spacek (R)	0				X	100.00	45	61	83	71	75	72	83	76	36	57	66	40	71	25	40	0	50	71	0	20	3	862,500$
Scratches
1	Clark Bishop	0	X				100.00	47	62	80	71	75	75	87	76	65	57	67	40	72	25	40	0	50	70	0	27	1	888,000$
2	Donald Busdeker (R)	0	X	X	X		100.00	45	58	83	71	75	66	76	76	36	56	66	40	71	25	40	0	50	69	0	23	1	925,000$
3	Antti Tuomisto (R)	0				X	100.00	45	55	83	71	75	59	68	76	36	58	67	47	71	25	40	0	50	71	0	22	2	867,500$

	TEAM AVERAGE						100.00	50	56	86	74	78	65	72	80	45	63	68	44	74	42	51	0	50	73

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 (R)	0	100.00	75	66	70	75	71	72	75	68	70	74	71	26	55	0	50	82	0	22	1	925,000$
2	Mads Sogaard (R)	0	100.00	67	55	53	62	65	72	69	65	58	57	62	26	56	0	50	73	0	22	1	925,000$
Scratches
1	Oskari Salminen (R)	0	100.00	55	55	53	57	59	53	58	50	53	72	55	25	55	0	50	63	0	23	3	855,000$

	TEAM AVERAGE		100.00	66	59	59	65	65	66	67	61	60	68	63	26	55	0	50	73

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

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	FW	FL	FT	S1	S2	S3
1	Olen Zellweger	Moose (WIN)	D	6	2	8	10	1	0	0	8	10	20	7	10	10.00%	6	148	24.80	1	5	0	3	0	1	0%	0	11	10	0	1.34	0	0	0	0	0	1
2	Ryan Johnson	Moose (WIN)	D	6	5	5	10	9	0	0	5	8	21	8	17	23.81%	5	118	19.83	0	2	0	2	0	0	0%	0	7	14	0	1.68	0	0	0	1	1	0
3	Jack Quinn	Moose (WIN)	RW	6	7	2	9	5	0	0	13	2	24	11	20	29.17%	2	113	18.85	1	4	0	0	2	1	66.67%	3	14	5	1	1.59	0	0	0	1	0	1
4	Chaz Lucius	Moose (WIN)	C	6	2	5	7	7	2	0	9	5	8	3	11	25.00%	4	81	13.55	0	0	0	0	0	0	44.68%	47	10	0	0	1.72	0	0	0	1	0	0
5	Justin Sourdif	Moose (WIN)	C/LW/RW	6	3	4	7	7	0	0	7	2	19	6	4	15.79%	1	79	13.30	0	0	0	0	0	1	0%	1	8	1	0	1.75	0	0	0	1	1	0
6	Jaret Anderson-Dolan	Moose (WIN)	C/LW/RW	6	4	2	6	2	0	0	22	6	26	2	14	15.38%	2	99	16.65	0	3	0	0	1	0	47.30%	74	12	5	0	1.20	0	0	0	0	0	0
7	Peyton Krebs	Moose (WIN)	C	6	0	6	6	5	0	0	8	10	23	9	14	0%	4	118	19.72	0	4	1	5	0	0	64.52%	124	14	0	0	1.01	0	0	0	0	0	0
8	Kieffer Bellows	Moose (WIN)	LW	6	1	4	5	2	4	0	5	3	10	4	7	10.00%	2	105	17.60	0	3	0	0	0	0	42.86%	7	8	2	0	0.95	0	0	0	0	0	0
9	Matthew Kessel	Moose (WIN)	D	6	1	4	5	1	0	0	4	15	10	6	8	10.00%	14	148	24.80	0	5	0	3	0	0	0%	0	4	3	0	0.67	0	0	0	0	0	0
10	Luke Henman	Moose (WIN)	C/LW/RW	6	1	3	4	7	5	5	5	4	8	3	3	12.50%	3	78	13.13	0	0	0	0	0	0	50.00%	2	8	5	0	1.02	0	1	0	0	0	0
11	Sean Day	Moose (WIN)	D	6	2	2	4	4	5	5	9	5	6	3	3	33.33%	2	93	15.58	0	0	0	0	1	0	0%	0	3	5	0	0.86	1	0	0	0	1	0
12	Tyler Benson	Moose (WIN)	C/LW/RW	6	2	2	4	0	0	0	5	4	11	1	4	18.18%	1	60	10.13	0	0	0	0	0	0	100.00%	1	4	1	0	1.32	0	0	0	0	0	1
13	Ben McCartney	Moose (WIN)	C/LW/RW	6	1	2	3	0	0	0	8	1	14	2	6	7.14%	0	61	10.23	0	0	0	0	0	0	0%	0	9	3	0	0.98	0	0	0	0	0	0
14	Felix Robert	Moose (WIN)	C	6	0	2	2	0	2	0	6	3	10	1	8	0%	1	60	10.15	0	0	0	0	0	0	44.68%	47	5	2	0	0.66	0	0	0	0	0	0
15	David Spacek	Moose (WIN)	D	6	0	1	1	4	0	0	4	8	1	3	2	0%	5	92	15.48	0	0	0	0	0	0	0%	0	1	4	0	0.22	0	0	0	0	0	0
16	Jack Thompson	Moose (WIN)	D	6	0	1	1	9	10	10	6	5	4	2	5	0%	3	117	19.50	0	2	0	2	0	0	0%	0	3	9	0	0.17	0	0	2	0	0	0
17	Matthew Maggio	Moose (WIN)	C/LW/RW	6	1	0	1	2	0	0	8	4	10	2	8	10.00%	0	99	16.56	0	3	0	0	0	0	50.00%	4	3	0	0	0.20	0	0	0	0	0	0
18	Graeme Clarke	Moose (WIN)	C/LW/RW	6	0	0	0	5	10	10	6	1	3	2	1	0%	1	114	19.05	0	4	0	5	0	0	50.00%	2	0	1	0	0	0	0	2	0	0	0
Team Total or Average				108	32	53	85	70	38	30	138	96	228	75	145	14.04%	56	1793	16.61	2	39	1	25	4	3	53.53%	312	124	70	1	0.95	1	1	4	4	3	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	Moose (WIN)	6	4	2	0	0.910	3.18	358	0	0	19	211	121	0	0	0	0	6	0	0	1	1
Team Total or Average			6	4	2	0	0.910	3.18	358	0	0	19	211	121	0	0		0	6	0	0	1	1

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 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
Antti Tuomisto	Moose (WIN)	D	22	2001-01-20	FIN	Yes	205 Lbs	6 ft5	No	No	Prospect	No	No	2	2024-07-02	False	False	Pro & Farm	867,500$	783,406$	0$	0$	No	867,500$	Restricted		-	-	-	-	867,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Arturs Silovs	Moose (WIN)	G	22	2001-03-22	LVA	Yes	203 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Farm Only	925,000$	835,332$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ben McCartney	Moose (WIN)	C/LW/RW	21	2001-07-13	CAN	Yes	182 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	813,333$	734,489$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Chaz Lucius	Moose (WIN)	C	20	2003-05-02	USA	Yes	185 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	925,000$	835,332$	0$	0$	No	925,000$	Restricted		-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Clark Bishop	Moose (WIN)	C	27	1996-03-29	CAN	No	197 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	888,000$	801,918$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
David Spacek	Moose (WIN)	D	20	2003-02-18	USA	Yes	190 Lbs	6 ft0	No	No	Prospect	No	No	3	2024-07-02	False	False	Pro & Farm	862,500$	778,890$	0$	0$	No	862,500$	862,500$	Restricted	-	-	-	-	862,500$	862,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Donald Busdeker	Moose (WIN)	C/LW/RW	23	1999-09-25	USA	Yes	181 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	835,332$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Felix Robert	Moose (WIN)	C	23	1999-07-24	CAN	Yes	170 Lbs	5 ft8	No	No	N/A	No	No	2		False	False	Pro & Farm	854,058$	771,267$	0$	0$	No	854,058$	Restricted		-	-	-	-	854,058$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Graeme Clarke	Moose (WIN)	C/LW/RW	22	2001-04-24	USA	Yes	175 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Farm Only	925,000$	835,332$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Quinn	Moose (WIN)	RW	21	2001-09-19	CAN	Yes	185 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Farm Only	925,000$	835,332$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Thompson	Moose (WIN)	D	21	2002-03-19	CAN	Yes	189 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	828,333$	748,035$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jaret Anderson-Dolan	Moose (WIN)	C/LW/RW	23	1999-09-12	CAN	No	200 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	927,750$	837,815$	0$	0$	No	927,750$	Restricted		-	-	-	-	927,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Justin Sourdif	Moose (WIN)	C/LW/RW	21	2002-03-24	CAN	Yes	180 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	847,500$	765,344$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kieffer Bellows	Moose (WIN)	LW	25	1998-06-10	USA	Yes	195 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	750,000$	677,296$	0$	0$	No	750,000$	Restricted		-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Luke Henman	Moose (WIN)	C/LW/RW	23	2000-04-29	CAN	Yes	170 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	835,332$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mads Sogaard	Moose (WIN)	G	22	2000-12-13	DNK	Yes	196 Lbs	6 ft7	No	No	N/A	No	No	1		False	False	Farm Only	925,000$	835,332$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Kessel	Moose (WIN)	D	23	2000-06-23	USA	Yes	205 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Farm Only	925,000$	835,332$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Maggio	Moose (WIN)	C/LW/RW	20	2002-11-25	CAN	Yes	185 Lbs	5 ft11	No	No	Prospect	No	No	3	2024-07-02	False	False	Pro & Farm	870,000$	785,663$	0$	0$	No	870,000$	870,000$	Restricted	-	-	-	-	870,000$	870,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Olen Zellweger	Moose (WIN)	D	19	2003-09-10	CAN	Yes	182 Lbs	5 ft9	No	No	Prospect	No	No	3	2024-07-02	False	False	Pro & Farm	844,167$	762,334$	0$	0$	No	844,167$	844,167$	Restricted	-	-	-	-	844,167$	844,167$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Oskari Salminen	Moose (WIN)	G	23	1999-09-22	FIN	Yes	201 Lbs	6 ft4	No	No	Free Agent	No	No	3	2024-08-09	False	False	Pro & Farm	855,000$	772,117$	0$	0$	No	855,000$	855,000$	Restricted	-	-	-	-	855,000$	855,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Peyton Krebs	Moose (WIN)	C	22	2001-01-26	CAN	Yes	187 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Farm Only	925,000$	835,332$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Johnson	Moose (WIN)	D	21	2001-07-24	USA	Yes	195 Lbs	6 ft1	No	No	Prospect	No	No	2	2024-07-02	False	False	Pro & Farm	925,000$	835,332$	0$	0$	No	925,000$	Restricted		-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Sean Day	Moose (WIN)	D	25	1998-01-09	CAN	No	218 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	770,750$	696,034$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tyler Benson	Moose (WIN)	C/LW/RW	25	1998-03-15	CAN	Yes	190 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	770,750$	696,034$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	22.25	190 Lbs	6 ft1	1.58	874,985$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Graeme Clarke	Peyton Krebs	Jack Quinn	40	0	1	4
2	Kieffer Bellows	Jaret Anderson-Dolan	Matthew Maggio	30	0	2	3
3	Luke Henman	Chaz Lucius	Justin Sourdif	20	0	3	2
4	Ben McCartney	Felix Robert	Tyler Benson	10	0	3	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Olen Zellweger	Matthew Kessel	40	0	2	3
2	Ryan Johnson	Jack Thompson	30	0	2	3
3	Sean Day	David Spacek	20	0	3	2
4	Olen Zellweger	Matthew Kessel	10	0	2	3

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Graeme Clarke	Peyton Krebs	Jack Quinn	60	0	0	5
2	Kieffer Bellows	Jaret Anderson-Dolan	Matthew Maggio	40	0	1	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Olen Zellweger	Matthew Kessel	60	0	1	4
2	Ryan Johnson	Jack Thompson	40	0	2	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Peyton Krebs	Graeme Clarke	60	1	2	2
2	Jaret Anderson-Dolan	Kieffer Bellows	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Olen Zellweger	Matthew Kessel	60	1	2	2
2	Ryan Johnson	Jack Thompson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Peyton Krebs	60	0	4	1	Olen Zellweger	Matthew Kessel	60	0	4	1
2	Jaret Anderson-Dolan	40	0	4	1	Ryan Johnson	Jack Thompson	40	0	4	1

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Peyton Krebs	Graeme Clarke	60	0	2	3
2	Jaret Anderson-Dolan	Kieffer Bellows	40	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Olen Zellweger	Matthew Kessel	60	0	3	2
2	Ryan Johnson	Jack Thompson	40	0	3	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Graeme Clarke	Peyton Krebs	Jack Quinn	Olen Zellweger	Matthew Kessel

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Graeme Clarke	Peyton Krebs	Jack Quinn	Olen Zellweger	Matthew Kessel

Extra Forwards
Normal	PowerPlay	Penalty Kill
Kieffer Bellows, Chaz Lucius, Luke Henman	Kieffer Bellows, Chaz Lucius	Kieffer Bellows

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jack Thompson, Sean Day, David Spacek	Jack Thompson	Jack Thompson, Sean Day

Penalty Shots
Jack Quinn, Peyton Krebs, Jaret Anderson-Dolan, Graeme Clarke, Kieffer Bellows

Goalie
#1 : Arturs Silovs, #2 : Mads Sogaard

Custom OT Lines Forwards
Jack Quinn, Peyton Krebs, Jaret Anderson-Dolan, Graeme Clarke, Kieffer Bellows, Chaz Lucius, Chaz Lucius, Luke Henman, Matthew Maggio, Justin Sourdif, Felix Robert

Custom OT Lines Defensemen
Olen Zellweger, Matthew Kessel, Ryan Johnson, Jack Thompson, Sean Day

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	Barracuda	1	1	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	8	6	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	12	20	0	0	12	10	10	0	38	93	77	58	0	32	3	2	14	0	0	0%	1	1	0.00%	0	62	117	52.99%	49	99	49.49%	56	96	58.33%	151	106	116	42	91	46
2	Condors	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	3	4	2	1.000	7	13	20	0	0	12	10	10	0	35	93	77	58	0	41	16	5	26	0	0	0%	0	0	0%	0	62	117	52.99%	49	99	49.49%	56	96	58.33%	151	106	116	42	91	46
3	IceHogs	1	1	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	8	3	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	13	21	0	0	12	10	10	0	43	93	77	58	0	35	8	10	24	0	0	0%	0	0	0%	0	62	117	52.99%	49	99	49.49%	56	96	58.33%	151	106	116	42	91	46
4	Penguins	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	12	10	10	0	39	93	77	58	0	37	4	9	27	3	0	0.00%	2	0	100.00%	0	62	117	52.99%	49	99	49.49%	56	96	58.33%	151	106	116	42	91	46
5	Thunderbirds	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	3	4	2	1.000	7	11	18	0	0	12	10	10	0	40	93	77	58	0	27	12	5	21	0	0	0%	0	0	0%	0	62	117	52.99%	49	99	49.49%	56	96	58.33%	151	106	116	42	91	46
6	Wild	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	12	10	10	0	33	93	77	58	0	39	13	7	26	1	0	0.00%	1	0	100.00%	0	62	117	52.99%	49	99	49.49%	56	96	58.33%	151	106	116	42	91	46
	Total	6	4	2	0	0	0	0	0	32	19	13	4	2	2	0	0	0	0	0	18	13	5	2	2	0	0	0	0	0	0	14	6	8	8	0.667	32	53	85	0	0	12	10	10	0	228	93	77	58	0	211	56	38	138	4	0	0.00%	4	1	75.00%	0	62	117	52.99%	49	99	49.49%	56	96	58.33%	151	106	116	42	91	46
	_Since Last GM Reset	6	4	2	0	0	0	0	0	32	19	13	4	2	2	0	0	0	0	0	18	13	5	2	2	0	0	0	0	0	0	14	6	8	8	0.667	32	53	85	0	0	12	10	10	0	228	93	77	58	0	211	56	38	138	4	0	0.00%	4	1	75.00%	0	62	117	52.99%	49	99	49.49%	56	96	58.33%	151	106	116	42	91	46
	_Vs Conference	5	4	1	0	0	0	0	0	31	17	14	3	2	1	0	0	0	0	0	17	11	6	2	2	0	0	0	0	0	0	14	6	8	8	0.800	31	51	82	0	0	12	10	10	0	189	93	77	58	0	174	52	29	111	1	0	0.00%	2	1	50.00%	0	62	117	52.99%	49	99	49.49%	56	96	58.33%	151	106	116	42	91	46
	_Vs Division	3	2	1	0	0	0	0	0	16	8	8	2	1	1	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	7	3	4	4	0.667	16	26	42	0	0	12	10	10	0	116	93	77	58	0	101	33	22	71	1	0	0.00%	1	0	100.00%	0	62	117	52.99%	49	99	49.49%	56	96	58.33%	151	106	116	42	91	46

			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	32	53	85	228	211	56	38	138	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	32	19

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	18	13

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	14	6

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	2	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
4	0	0.00%	4	1	75.00%	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
93	77	58	0	12	10	10	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
62	117	52.99%	49	99	49.49%	56	96	58.33%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
151	106	116	42	91	46

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	Score	Home	Score	ST	Link
6 - 2024-10-09	8	Moose	7	Condors	3	W	BoxScore
8 - 2024-10-11	21	IceHogs	3	Moose	8	W	BoxScore
10 - 2024-10-13	38	Wild	2	Moose	1	L	BoxScore
15 - 2024-10-18	73	Barracuda	6	Moose	8	W	BoxScore
17 - 2024-10-20	88	Penguins	2	Moose	1	L	BoxScore
19 - 2024-10-22	99	Moose	7	Thunderbirds	3	W	BoxScore
21 - 2024-10-24	116	Moose	-	Firebirds	-
23 - 2024-10-26	129	Moose	-	Wranglers	-
25 - 2024-10-28	143	Marlies	-	Moose	-
27 - 2024-10-30	156	Moose	-	Griffins	-
29 - 2024-11-01	171	Moose	-	Monsters	-
31 - 2024-11-03	186	Crunch	-	Moose	-
33 - 2024-11-05	201	Roadrunners	-	Moose	-
35 - 2024-11-07	217	Eagles	-	Moose	-
37 - 2024-11-09	230	Stars	-	Moose	-
40 - 2024-11-12	247	Moose	-	Wolf Pack	-
42 - 2024-11-14	259	Moose	-	Crunch	-
44 - 2024-11-16	277	Moose	-	Checkers	-
47 - 2024-11-19	297	Checkers	-	Moose	-
50 - 2024-11-22	316	Moose	-	Penguins	-
51 - 2024-11-23	329	Moose	-	Admirals	-
53 - 2024-11-25	342	Moose	-	Wild	-
55 - 2024-11-27	359	Moose	-	Reign	-
57 - 2024-11-29	374	Moose	-	Silver Knights	-
59 - 2024-12-01	391	Moose	-	Stars	-
61 - 2024-12-03	403	Thunderbirds	-	Moose	-
63 - 2024-12-05	410	Moose	-	Americans	-
65 - 2024-12-07	427	Moose	-	IceHogs	-
66 - 2024-12-08	439	Monsters	-	Moose	-
68 - 2024-12-10	452	Bruins	-	Moose	-
70 - 2024-12-12	468	Silver Knights	-	Moose	-
72 - 2024-12-14	482	Rocket	-	Moose	-
75 - 2024-12-17	506	Moose	-	Barracuda	-
76 - 2024-12-18	511	Moose	-	Gulls	-
79 - 2024-12-21	536	Wild	-	Moose	-
81 - 2024-12-23	546	Moose	-	Marlies	-
86 - 2024-12-28	574	Senators	-	Moose	-
88 - 2024-12-30	587	Admirals	-	Moose	-
89 - 2024-12-31	597	Moose	-	Eagles	-
91 - 2025-01-02	609	Gulls	-	Moose	-
93 - 2025-01-04	621	Griffins	-	Moose	-
96 - 2025-01-07	647	Admirals	-	Moose	-
99 - 2025-01-10	667	Reign	-	Moose	-
100 - 2025-01-11	678	Eagles	-	Moose	-
103 - 2025-01-14	702	Canucks	-	Moose	-
105 - 2025-01-16	716	Firebirds	-	Moose	-
107 - 2025-01-18	730	Wranglers	-	Moose	-
109 - 2025-01-20	747	Moose	-	Roadrunners	-
111 - 2025-01-22	759	Moose	-	Eagles	-
113 - 2025-01-24	775	Roadrunners	-	Moose	-
115 - 2025-01-26	791	Wranglers	-	Moose	-
117 - 2025-01-28	800	Moose	-	Rocket	-
119 - 2025-01-30	812	Moose	-	Bruins	-
121 - 2025-02-01	831	Moose	-	Bears	-
124 - 2025-02-04	852	Wolves	-	Moose	-
127 - 2025-02-07	872	Islanders	-	Moose	-
142 - 2025-02-22	903	Moose	-	Thunderbirds	-
144 - 2025-02-24	916	Barracuda	-	Moose	-
146 - 2025-02-26	930	Moose	-	Senators	-
147 - 2025-02-27	941	Moose	-	Admirals	-
149 - 2025-03-01	956	Phantoms	-	Moose	-
152 - 2025-03-04	978	Moose	-	Islanders	-
154 - 2025-03-06	991	Moose	-	Phantoms	-
155 - 2025-03-07	997	Moose	-	Comets	-
157 - 2025-03-09	1016	Moose	-	Wolves	-
159 - 2025-03-11	1031	Wolf Pack	-	Moose	-
162 - 2025-03-14	1051	Stars	-	Moose	-
164 - 2025-03-16	1072	Moose	-	Firebirds	-
166 - 2025-03-18	1086	Moose	-	Canucks	-
168 - 2025-03-20	1099	Moose	-	Condors	-
171 - 2025-03-23	1119	Americans	-	Moose	-
173 - 2025-03-25	1135	Bears	-	Moose	-
176 - 2025-03-28	1156	Comets	-	Moose	-
178 - 2025-03-30	1172	Canucks	-	Moose	-
180 - 2025-04-01	1191	Moose	-	Reign	-
182 - 2025-04-03	1204	Moose	-	Silver Knights	-
184 - 2025-04-05	1219	Moose	-	Roadrunners	-
186 - 2025-04-07	1231	Thunderbirds	-	Moose	-
189 - 2025-04-10	1255	Moose	-	Stars	-
191 - 2025-04-12	1271	Moose	-	IceHogs	-
192 - 2025-04-13	1282	Condors	-	Moose	-
195 - 2025-04-16	1302	Gulls	-	Moose	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	1500
Ticket Price	50	25
Attendance	14,000	6,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
37	5000 - 100.00%	108,375$	433,500$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
2,035,679$	20,999,640$	20,999,640$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
107,141$	2,035,679$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
4,009,875$	177	107,141$	18,963,957$

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

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

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

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

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

	Moose
	GP: 6 \| W: 4 \| L: 2 \| OTL: 0 \| P: 8 GF: 32 \| GA: 19 \| PP%: 0.00% \| PK%: 75.00% GM : Kyle Smith \| Morale : 50 \| Team Overall : 73 Next Games #116 vs Firebirds