Jets


	Wild 5-2-0, 10pts	8	FINAL	4	Moose 5-4-0, 10pts

Team Stats
L1		W1
3-0-0		4-2-0
2-2-0		1-2-0
5-2-0		5-3-1
5.29		5.22
4.14		5.33
0.00%		60.00%
33.33%		100.00%

Wild
5-2-0, 10pts

FINAL

Moose
5-4-0, 10pts

Team Stats
L1		W1
3-0-0		4-2-0
2-2-0		1-2-0
5-2-0		5-3-1
5.29		5.22
4.14		5.33
0.00%		60.00%
33.33%		100.00%

Moose
5-4-0, 10pts

2025-05-10

Wild
5-2-0, 10pts


W1		L1
4-2-0		3-0-0
1-2-0		2-2-0
5-3-1		5-2-0
5.22		5.29
5.33		5.29
60.00%		0.00%
100.00%		33.33%

Moose
5-4-0, 10pts

2025-05-12

Wild
5-2-0, 10pts


W1		L1
4-2-0		3-0-0
1-2-0		2-2-0
5-3-1		5-2-0
5.22		5.29
5.33		5.29
60.00%		0.00%
100.00%		33.33%

Wild
5-2-0, 10pts

2025-05-14

Moose
5-4-0, 10pts


L1		W1
3-0-0		4-2-0
2-2-0		1-2-0
5-2-0		5-3-1
5.29		5.22
4.14		5.22
0.00%		60.00%
33.33%		100.00%


	Jack Quinn 10			Matthew Kessel 12

	Olen Zellweger 17			Felix Robert 4

	Arturs Silovs 5			Arturs Silovs 0.85


47 5.22 GFG	277 30.78 Avg	60.0% 3 GF	31.7%
48 5.33 GAA	281 31.22 Avg	100.0%% 0 GA	32.1%


		Kyle Smith
		Central Division
		Western Conference




		5,000
		5,000
		5,000

		26
		22
		48 / 55
		23

Priority		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

#		#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
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	22	1	925,000$
2	Noah Gregor	0	X				100.00	70	52	95	80	82	52	76	84	46	73	73	56	78	84	78	0	50	80	0	25	3	787,500$
3	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	23	1	925,000$
4	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	24	2	927,750$
5	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	23	1	925,000$
6	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	21	2	925,000$
7	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	26	2	750,000$
8	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	28	1	888,000$
9	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	24	1	925,000$
10	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	21	3	870,000$
11	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	24	2	854,058$
12	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	20	3	844,167$
13	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	24	1	925,000$
14	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	22	2	925,000$
15	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	22	1	828,333$
16	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	26	1	770,750$
17	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	23	2	867,500$
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	21	3	862,500$

1	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	22	1	847,500$
2	Ryan Winterton (R)	0	X	X	X		100.00	45	59	83	72	76	68	79	77	65	58	68	40	73	25	40	0	50	70	0	20	3	828,333$
3	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	22	1	813,333$
4	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	26	1	770,750$
5	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	24	1	925,000$

							100.00	51	56	86	74	78	65	72	80	46	63	68	44	74	43	52	0	50	74

Priority		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

#		#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Arturs Silovs (R)	0	100.00	75	66	70	75	71	72	75	68	70	74	71	26	55	0	50	82	0	23	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	23	1	925,000$

1	Oskari Salminen (R)	0	100.00	55	55	53	57	59	53	58	50	53	72	55	25	55	0	50	63	0	24	3	855,000$

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

	PH	DF	OF	PD	EX	LD	PO	CNT

Priority		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

#		GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	GT	FO%	FOT	GA	TA	EG	HT	PSG	PSS	FT	S2	S3
1	Olen Zellweger	Moose (WIN)	D	9	9	8	17	-4	0	0	5	13	22	12	13	40.91%	26	221	24.58	2	0	2	3	4	7	1	0	0%	0	14	14	2	1.54	0	0	1	2	0
2	Matthew Kessel	Moose (WIN)	D	9	5	12	17	-4	2	0	10	11	23	7	6	21.74%	18	220	24.54	0	2	2	2	4	6	0	0	0%	0	4	18	0	1.54	0	0	0	0	1
3	Jack Quinn	Moose (WIN)	RW	9	10	5	15	-7	0	0	17	9	43	17	25	23.26%	3	194	21.65	1	0	1	2	3	0	2	0	23.08%	13	21	3	1	1.54	0	0	3	0	0
4	Noah Gregor	Moose (WIN)	C	9	3	11	14	0	0	0	25	20	22	17	16	13.64%	4	168	18.68	0	0	0	0	0	0	0	0	66.67%	3	25	4	0	1.67	0	0	1	0	1
5	Peyton Krebs	Moose (WIN)	C	9	3	11	14	-6	0	0	25	15	44	10	23	6.82%	4	199	22.19	0	0	0	1	3	8	0	0	52.87%	157	12	4	0	1.40	0	0	0	1	1
6	Jaret Anderson-Dolan	Moose (WIN)	C/LW/RW	9	5	5	10	1	0	0	14	10	25	12	16	20.00%	2	172	19.15	0	1	1	1	2	0	0	1	51.79%	112	8	6	0	1.16	0	0	0	0	0
7	Ryan Johnson	Moose (WIN)	D	9	3	6	9	-2	0	0	8	20	21	1	11	14.29%	13	179	19.89	0	0	0	0	2	4	1	0	0%	0	3	9	0	1.01	0	0	0	0	0
8	Chaz Lucius	Moose (WIN)	C	9	1	6	7	1	0	0	7	11	14	5	11	7.14%	6	154	17.21	0	0	0	0	2	0	1	0	45.74%	94	21	1	0	0.90	0	0	0	0	0
9	Felix Robert	Moose (WIN)	C	9	2	4	6	4	0	0	15	8	18	3	11	11.11%	4	166	18.51	0	0	0	0	0	0	0	0	62.96%	27	9	3	0	0.72	0	0	0	0	1
10	Graeme Clarke	Moose (WIN)	C/LW/RW	9	1	4	5	-10	7	5	8	5	6	1	4	16.67%	3	186	20.76	0	1	1	0	3	8	0	0	75.00%	8	1	2	0	0.54	0	1	0	0	0
11	Jack Thompson	Moose (WIN)	D	9	2	2	4	-1	15	15	4	7	8	4	4	25.00%	9	171	19.08	0	0	0	0	1	3	0	0	0%	0	1	8	0	0.47	2	1	0	0	0
12	Sean Day	Moose (WIN)	D	9	0	3	3	2	0	0	4	16	8	2	2	0%	8	147	16.41	0	0	0	0	0	1	0	0	0%	0	2	7	0	0.41	0	0	0	0	0
13	David Spacek	Moose (WIN)	D	9	0	2	2	2	4	0	3	4	5	3	2	0%	6	142	15.85	0	0	0	0	0	0	0	0	0%	0	1	5	0	0.28	0	0	0	0	0
14	Luke Henman	Moose (WIN)	C/LW/RW	9	2	0	2	2	10	10	10	8	7	1	17	28.57%	5	157	17.47	0	0	0	0	0	2	0	0	27.27%	11	4	7	0	0.25	0	2	0	1	0
15	Kieffer Bellows	Moose (WIN)	LW	9	1	1	2	0	2	0	4	6	10	0	4	10.00%	2	176	19.66	0	0	0	0	2	2	0	0	28.57%	7	2	0	0	0.23	0	0	0	0	0
16	Matthew Maggio	Moose (WIN)	C/LW/RW	9	0	1	1	1	0	0	0	0	0	1	1	0%	0	10	1.19	0	0	0	0	0	0	0	0	0%	0	0	0	0	1.86	0	0	0	0	0
17	Antti Tuomisto	Moose (WIN)	D	9	0	0	0	-1	0	0	0	0	1	0	0	0%	0	4	0.52	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0
18	Clark Bishop	Moose (WIN)	C	9	0	0	0	2	0	0	0	0	0	0	0	0%	0	19	2.21	0	0	0	0	0	1	0	0	71.43%	7	0	0	0	0	0	0	0	0	0
				162	47	81	128	-20	40	30	159	163	277	96	166	16.97%	113	2695	16.64	3	4	7	9	33	47	5	1	50.57%	439	128	91	3	0.95	2	4	5	4	4

Priority		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

#		GP	W	L	OTL	PCT	GAA	MP	PIM	SO	SA	SAR	A	EG	PSA	BG	S1
1	Arturs Silovs	Moose (WIN)	9	5	1	1	0.850	4.64	478	0	37	247	137	2	0	9	0
2	Mads Sogaard	Moose (WIN)	3	0	2	0	0.676	10.65	62	2	11	34	11	0	0	0	9
			12	5	3	1	0.829	5.32	541	2	48	281	148	2		9	9

Priority		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 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	23	2001-01-20	FIN	Yes	205 Lbs	6 ft5	No	No	Prospect		No	No	2	2024-07-02	False	False	Pro & Farm	867,500$	309,821$	0$	0$	No	867,500$	Restricted		-	-	-	-	867,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Arturs Silovs	Moose (WIN)	G	23	2001-03-22	LVA	Yes	203 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Farm Only	925,000$	330,357$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ben McCartney	Moose (WIN)	C/LW/RW	22	2001-07-13	CAN	Yes	182 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	813,333$	290,476$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Chaz Lucius	Moose (WIN)	C	21	2003-05-02	USA	Yes	185 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	925,000$	330,357$	0$	0$	No	925,000$	Restricted		-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Clark Bishop	Moose (WIN)	C	28	1996-03-29	CAN	No	197 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	888,000$	317,143$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
David Spacek	Moose (WIN)	D	21	2003-02-18	USA	Yes	190 Lbs	6 ft0	No	No	Prospect		No	No	3	2024-07-02	False	False	Pro & Farm	862,500$	308,036$	0$	0$	No	862,500$	862,500$	Restricted	-	-	-	-	862,500$	862,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Donald Busdeker	Moose (WIN)	C/LW/RW	24	1999-09-25	USA	Yes	181 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	330,357$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Felix Robert	Moose (WIN)	C	24	1999-07-24	CAN	Yes	170 Lbs	5 ft8	No	No	N/A		No	No	2		False	False	Pro & Farm	854,058$	305,021$	0$	0$	No	854,058$	Restricted		-	-	-	-	854,058$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Graeme Clarke	Moose (WIN)	C/LW/RW	23	2001-04-24	USA	Yes	175 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Farm Only	925,000$	330,357$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Quinn	Moose (WIN)	RW	22	2001-09-19	CAN	Yes	185 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Farm Only	925,000$	330,357$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Thompson	Moose (WIN)	D	22	2002-03-19	CAN	Yes	189 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	828,333$	295,833$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jaret Anderson-Dolan	Moose (WIN)	C/LW/RW	24	1999-09-12	CAN	No	200 Lbs	5 ft11	No	No	N/A		No	No	2		False	False	Pro & Farm	927,750$	331,339$	0$	0$	No	927,750$	Restricted		-	-	-	-	927,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Justin Sourdif	Moose (WIN)	C/LW/RW	22	2002-03-24	CAN	Yes	180 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	847,500$	302,679$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kieffer Bellows	Moose (WIN)	LW	26	1998-06-10	USA	Yes	195 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	750,000$	Restricted		-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Luke Henman	Moose (WIN)	C/LW/RW	24	2000-04-29	CAN	Yes	170 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	330,357$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mads Sogaard	Moose (WIN)	G	23	2000-12-13	DNK	Yes	196 Lbs	6 ft7	No	No	N/A		No	No	1		False	False	Farm Only	925,000$	330,357$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Kessel	Moose (WIN)	D	24	2000-06-23	USA	Yes	205 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Farm Only	925,000$	330,357$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Maggio	Moose (WIN)	C/LW/RW	21	2002-11-25	CAN	Yes	185 Lbs	5 ft11	No	No	Prospect		No	No	3	2024-07-02	False	False	Pro & Farm	870,000$	310,714$	0$	0$	No	870,000$	870,000$	Restricted	-	-	-	-	870,000$	870,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Noah Gregor	Moose (WIN)	C	25	1998-07-28	CAN	No	190 Lbs	6 ft0	No	No	N/A		No	No	3		False	False	Pro & Farm	787,500$	281,250$	0$	0$	No	787,500$	787,500$	Restricted	-	-	-	-	787,500$	787,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Olen Zellweger	Moose (WIN)	D	20	2003-09-10	CAN	Yes	182 Lbs	5 ft9	No	No	Prospect		No	No	3	2024-07-02	False	False	Pro & Farm	844,167$	301,488$	0$	0$	No	844,167$	844,167$	Restricted	-	-	-	-	844,167$	844,167$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Oskari Salminen	Moose (WIN)	G	24	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$	305,357$	0$	0$	No	855,000$	855,000$	Restricted	-	-	-	-	855,000$	855,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Peyton Krebs	Moose (WIN)	C	23	2001-01-26	CAN	Yes	187 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Farm Only	925,000$	330,357$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Johnson	Moose (WIN)	D	22	2001-07-24	USA	Yes	195 Lbs	6 ft1	No	No	Prospect		No	No	2	2024-07-02	False	False	Pro & Farm	925,000$	330,357$	0$	0$	No	925,000$	Restricted		-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Winterton	Moose (WIN)	C/LW/RW	20	2003-09-04	CAN	Yes	175 Lbs	6 ft2	No	No	Trade	2025-01-11	No	No	3	2024-07-02	False	False	Pro & Farm	828,333$	295,833$	0$	0$	No	828,333$	828,333$	Restricted	-	-	-	-	828,333$	828,333$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Sean Day	Moose (WIN)	D	26	1998-01-09	CAN	No	218 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	770,750$	275,268$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tyler Benson	Moose (WIN)	C/LW/RW	26	1998-03-15	CAN	Yes	190 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	770,750$	275,268$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link


26	23.19	190 Lbs	6 ft1	1.69	869,826$



1	Graeme Clarke	Peyton Krebs	Jack Quinn	40	0	1	4
2	Kieffer Bellows	Jaret Anderson-Dolan	Noah Gregor	30	0	2	3
3	Luke Henman	Chaz Lucius	Felix Robert	20	0	3	2
4	Jack Quinn	Felix Robert	Peyton Krebs	10	0	3	2



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



1	Graeme Clarke	Peyton Krebs	Jack Quinn	60	0	0	5
2	Kieffer Bellows	Jaret Anderson-Dolan	Chaz Lucius	40	0	1	4



1	Olen Zellweger	Matthew Kessel	60	0	1	4
2	Ryan Johnson	Jack Thompson	40	0	2	3



1	Peyton Krebs	Graeme Clarke	60	1	2	2
2	Jaret Anderson-Dolan	Kieffer Bellows	40	1	2	2



1	Olen Zellweger	Matthew Kessel	60	1	2	2
2	Ryan Johnson	Jack Thompson	40	1	2	2



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



1	Peyton Krebs	Graeme Clarke	60	0	2	3
2	Jaret Anderson-Dolan	Kieffer Bellows	40	0	2	3



1	Olen Zellweger	Matthew Kessel	60	0	3	2
2	Ryan Johnson	Jack Thompson	40	0	3	2



Graeme Clarke	Peyton Krebs	Jack Quinn	Olen Zellweger	Matthew Kessel



Graeme Clarke	Peyton Krebs	Jack Quinn	Olen Zellweger	Matthew Kessel



Kieffer Bellows, Chaz Lucius, Luke Henman	Kieffer Bellows, Chaz Lucius	Kieffer Bellows



Jack Thompson, Sean Day, David Spacek	Jack Thompson	Jack Thompson, Sean Day


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


#1 : Arturs Silovs, #2 : Mads Sogaard


Jack Quinn, Peyton Krebs, Jaret Anderson-Dolan, Graeme Clarke, Kieffer Bellows, Chaz Lucius, Chaz Lucius, Luke Henman, Noah Gregor, Clark Bishop, Felix Robert


Olen Zellweger, Matthew Kessel, Ryan Johnson, Jack Thompson, Sean Day

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	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	Reign	7	4	3	0	0	0	0	0	37	39	-2	4	3	1	0	0	0	0	0	23	17	6	3	1	2	0	0	0	0	0	14	22	-8	8	0.571	37	62	99	0	0	18	12	16	1	212	106	70	99	2	221	86	35	121	4	2	50.00%	5	0	100.00%	0	71	139	51.08%	74	141	52.48%	77	159	48.43%	190	121	195	69	154	77
2	Wild	2	1	1	0	0	0	0	0	10	9	1	2	1	1	0	0	0	0	0	10	9	1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	10	19	29	0	0	18	12	16	1	65	106	70	99	2	60	27	7	38	1	1	100.00%	1	0	100.00%	0	71	139	51.08%	74	141	52.48%	77	159	48.43%	190	121	195	69	154	77
	Total	9	5	4	0	0	0	0	0	47	48	-1	6	4	2	0	0	0	0	0	33	26	7	3	1	2	0	0	0	0	0	14	22	-8	10	0.556	47	81	128	0	0	18	12	16	1	277	106	70	99	2	281	113	42	159	5	3	60.00%	6	0	100.00%	0	71	139	51.08%	74	141	52.48%	77	159	48.43%	190	121	195	69	154	77
	_Since Last GM Reset	9	5	4	0	0	0	0	0	47	48	-1	6	4	2	0	0	0	0	0	33	26	7	3	1	2	0	0	0	0	0	14	22	-8	10	0.556	47	81	128	0	0	18	12	16	1	277	106	70	99	2	281	113	42	159	5	3	60.00%	6	0	100.00%	0	71	139	51.08%	74	141	52.48%	77	159	48.43%	190	121	195	69	154	77
	_Vs Conference	9	5	4	0	0	0	0	0	47	48	-1	6	4	2	0	0	0	0	0	33	26	7	3	1	2	0	0	0	0	0	14	22	-8	10	0.556	47	81	128	0	0	18	12	16	1	277	106	70	99	2	281	113	42	159	5	3	60.00%	6	0	100.00%	0	71	139	51.08%	74	141	52.48%	77	159	48.43%	190	121	195	69	154	77
	_Vs Division	2	1	1	0	0	0	0	0	10	9	1	2	1	1	0	0	0	0	0	10	9	1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	10	19	29	0	0	18	12	16	1	65	106	70	99	2	60	27	7	38	1	1	100.00%	1	0	100.00%	0	71	139	51.08%	74	141	52.48%	77	159	48.43%	190	121	195	69	154	77

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
9	10	W1	47	81	128	277	281	113	42	159	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	5	4	0	0	0	0	47	48

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	33	26

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	14	22

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	3	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
5	3	60.00%	6	0	100.00%	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
106	70	99	2	18	12	16	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
71	139	51.08%	74	141	52.48%	77	159	48.43%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
190	121	195	69	154	77

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Day	Game	Visitor	Score	Home	Score	ST	OT	Link
2 - 2025-04-22	5	Reign	8	Moose	7	L	X	BoxScore
4 - 2025-04-24	13	Reign	4	Moose	5	W		BoxScore
6 - 2025-04-26	21	Moose	6	Reign	9	L		BoxScore
8 - 2025-04-28	29	Moose	2	Reign	8	L		BoxScore
10 - 2025-04-30	37	Reign	4	Moose	5	W		BoxScore
12 - 2025-05-02	45	Moose	6	Reign	5	W	X	BoxScore
14 - 2025-05-04	53	Reign	1	Moose	6	W		BoxScore
16 - 2025-05-06	59	Wild	8	Moose	4	L		BoxScore
18 - 2025-05-08	63	Wild	1	Moose	6	W		BoxScore
20 - 2025-05-10	67	Moose	-	Wild	-
22 - 2025-05-12	71	Moose	-	Wild	-
24 - 2025-05-14	75	Wild	-	Moose	-
26 - 2025-05-16	79	Moose	-	Wild	-
28 - 2025-05-18	83	Wild	-	Moose	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	1500
Ticket Price	50	25
Attendance	21,000	9,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
35	5000 - 100.00%	108,375$	650,250$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	22,615,474$	22,615,474$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	10	0$	0$

Moose Players Stat Leaders (Regular Season)

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#	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)

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

Moose Career Team Stats

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	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)

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#	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)

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

	Moose
	GP: 9 \| W: 5 \| L: 4 GF: 47 \| GA: 48 \| PP%: 60.00% \| PK%: 100.00% Kyle Smith \| 50 \| 73 #67 vs Wild