Jets


	Wild 28-7-0, 56pts	6	FINAL	5	Moose 29-5-2, 60pts

Team Stats
W10		L1
13-4-0		13-2-1
15-3-0		16-3-1
10-0-0		8-1-1
5.63		6.94
3.89		4.14
40.00%		33.33%
79.49%		80.00%

Moose
29-5-2, 60pts

FINAL

Marlies
27-8-0, 54pts

Team Stats
L1		W2
13-2-1		18-2-0
16-3-1		9-6-0
8-1-1		8-2-0
6.94		4.83
4.14		2.77
33.33%		31.58%
80.00%		71.43%

Senators
13-20-1, 27pts

2024-12-28

Moose
29-5-2, 60pts


W1		L1
9-8-0		13-2-1
4-12-1		16-3-1
5-5-0		8-1-1
4.56		6.94
5.56		6.94
30.00%		33.33%
82.35%		80.00%

Admirals
13-22-0, 26pts

2024-12-30

Moose
29-5-2, 60pts


L1		L1
8-10-0		13-2-1
5-12-0		16-3-1
4-6-0		8-1-1
4.34		6.94
5.37		6.94
21.21%		33.33%
62.50%		80.00%

Moose
29-5-2, 60pts

2024-12-31

Eagles
21-11-4, 46pts


L1		W3
13-2-1		13-3-1
16-3-1		8-8-3
8-1-1		5-4-1
6.94		4.72
4.14		4.72
33.33%		22.50%
80.00%		68.97%


	Jack Quinn 51			Peyton Krebs 59

	Jack Quinn 99			Olen Zellweger 51

	Arturs Silovs 29			Arturs Silovs 0.883


250 6.94 GFG	1299 36.08 Avg	33.3% 11 GF	32.2%
149 4.14 GAA	1210 33.61 Avg	80.0%% 5 GA	32.8%


		Kyle Smith
		Central Division
		Western Conference




		5,000
		5,000
		5,000

		25
		23
		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	21	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	24	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	22	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	23	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	22	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	20	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	25	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	27	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	23	1	925,000$
10	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$
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	23	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	19	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	23	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	21	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	21	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	25	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	22	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	20	3	862,500$

1	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$
2	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$
3	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$
4	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$

							100.00	51	56	87	74	78	65	72	80	46	64	68	44	74	44	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	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$

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$

			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	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	PSG	PSS	FT	S1	S2	S3
1	Jack Quinn	Moose (WIN)	RW	36	51	48	99	44	0	0	60	27	183	62	104	27.87%	17	733	20.38	0	4	4	3	25	0	0	0	0	0	10	2	57.89%	38	120	16	8	2.70	0	0	0	8	9	2
2	Peyton Krebs	Moose (WIN)	C	36	31	59	90	49	0	0	77	59	154	53	83	20.13%	34	756	21.02	2	2	4	6	25	2	1	3	4	29	6	2	59.10%	709	69	25	3	2.38	0	0	0	7	4	8
3	Olen Zellweger	Moose (WIN)	D	36	36	52	88	51	2	0	36	82	132	58	49	27.27%	69	885	24.59	4	3	7	8	27	1	1	2	1	22	3	2	0%	0	53	51	4	1.99	0	0	0	6	2	6
4	Matthew Kessel	Moose (WIN)	D	36	26	43	69	50	0	0	47	65	104	27	34	25.00%	90	884	24.57	2	1	3	6	27	0	2	2	0	24	4	4	0%	0	24	48	1	1.56	0	0	0	3	5	3
5	Jaret Anderson-Dolan	Moose (WIN)	C/LW/RW	36	23	32	55	20	0	0	77	28	111	26	76	20.72%	13	643	17.89	0	6	6	1	24	0	0	0	0	7	1	1	46.51%	430	59	16	0	1.71	0	0	0	1	2	1
6	Ryan Johnson	Moose (WIN)	D	36	18	20	38	35	0	0	37	57	74	39	52	24.32%	54	709	19.70	1	0	1	3	22	0	0	0	0	19	1	0	0%	0	28	52	0	1.07	0	0	0	1	2	2
7	Chaz Lucius	Moose (WIN)	C	36	6	30	36	23	4	0	48	29	74	32	68	8.11%	13	559	15.53	0	0	0	0	9	0	0	0	0	0	0	0	54.84%	341	47	7	0	1.29	0	0	0	1	1	0
8	Kieffer Bellows	Moose (WIN)	LW	36	9	17	26	23	35	15	35	24	56	16	28	16.07%	9	657	18.27	1	0	1	5	24	0	0	0	0	11	1	1	41.94%	31	39	7	0	0.79	0	2	1	0	0	0
9	Justin Sourdif	Moose (WIN)	C/LW/RW	36	7	18	25	23	0	0	45	23	77	26	42	9.09%	17	542	15.06	0	0	0	0	0	0	0	0	0	0	0	1	41.18%	17	36	7	0	0.92	0	0	0	1	1	1
10	Noah Gregor	Moose (WIN)	C	17	8	14	22	8	0	0	27	36	42	22	31	19.05%	13	299	17.64	0	0	0	0	0	0	0	0	0	0	0	0	62.50%	16	27	11	1	1.47	0	0	0	1	0	0
11	Felix Robert	Moose (WIN)	C	36	4	15	19	5	2	0	16	9	34	6	28	11.76%	5	288	8.01	0	0	0	0	0	0	0	0	0	0	0	0	57.14%	189	14	6	0	1.32	0	0	0	0	0	1
12	Sean Day	Moose (WIN)	D	36	7	11	18	12	7	5	21	37	38	20	17	18.42%	27	583	16.22	0	0	0	0	0	0	0	0	0	3	1	0	0%	0	10	31	0	0.62	1	0	0	0	1	0
13	Luke Henman	Moose (WIN)	C/LW/RW	36	7	9	16	23	86	50	34	24	45	20	37	15.56%	10	545	15.14	0	0	0	0	0	0	0	0	0	5	1	0	36.36%	11	21	11	0	0.59	3	2	5	1	0	0
14	Tyler Benson	Moose (WIN)	C/LW/RW	19	3	9	12	3	0	0	14	9	29	10	13	10.34%	1	188	9.91	0	0	0	0	0	0	0	0	0	0	0	0	42.86%	7	16	3	0	1.27	0	0	0	0	0	1
15	Jack Thompson	Moose (WIN)	D	36	1	10	11	33	49	45	17	43	28	10	18	3.57%	28	693	19.26	0	0	0	0	22	0	0	0	0	16	0	0	0%	0	6	31	0	0.32	1	1	7	0	0	0
16	Graeme Clarke	Moose (WIN)	C/LW/RW	36	3	8	11	44	46	40	35	14	27	13	14	11.11%	10	685	19.04	0	0	0	0	24	0	1	1	0	27	0	0	37.50%	32	1	4	0	0.32	0	3	5	0	0	0
17	Ben McCartney	Moose (WIN)	C/LW/RW	19	5	4	9	3	0	0	19	7	32	7	17	15.63%	4	194	10.24	0	0	0	0	0	0	0	0	0	3	1	0	40.00%	10	15	4	0	0.93	0	0	0	0	0	0
18	David Spacek	Moose (WIN)	D	36	2	7	9	9	0	0	22	31	22	11	6	9.09%	28	570	15.86	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	10	20	0	0.32	0	0	0	0	0	1
19	Matthew Maggio	Moose (WIN)	C/LW/RW	19	3	5	8	14	0	0	18	10	35	10	13	8.57%	0	313	16.50	1	2	3	3	15	0	0	0	0	0	0	0	54.55%	11	7	0	0	0.51	0	0	0	0	0	0
20	Clark Bishop	Moose (WIN)	C	17	0	1	1	0	0	0	1	1	2	0	0	0%	0	34	2.03	0	0	0	0	0	0	0	0	0	2	0	0	70.00%	10	0	0	0	0.58	0	0	0	0	0	0
21	Antti Tuomisto	Moose (WIN)	D	17	0	0	0	0	0	0	1	0	0	0	0	0%	0	7	0.42	0	0	0	0	0	0	0	0	0	1	0	0	0%	0	0	0	0	0	0	0	0	0	0	0
				648	250	412	662	472	231	155	687	615	1299	468	730	19.25%	442	10777	16.63	11	18	29	35	250	3	5	8	5	174	29	13	54.10%	1852	602	350	17	1.23	5	8	18	30	27	26

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	S3
1	Arturs Silovs	Moose (WIN)	36	29	4	2	0.883	3.97	2101	6	139	1189	679	2	0	36	0	1	2
2	Mads Sogaard	Moose (WIN)	3	0	1	0	0.524	9.52	63	0	10	21	7	1	0	0	36	0	0
			39	29	5	2	0.877	4.13	2165	6	149	1210	686	3		36	36	1	2

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	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$	508,992$	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$	542,730$	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$	477,211$	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$	542,730$	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$	521,020$	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$	506,059$	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$	542,730$	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$	501,105$	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$	542,730$	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$	542,730$	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$	486,012$	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$	544,343$	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$	497,258$	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$	440,051$	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$	542,730$	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$	542,730$	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$	542,730$	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$	510,459$	0$	0$	No	870,000$	870,000$	Restricted	-	-	-	-	870,000$	870,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Noah Gregor	Moose (WIN)	C	24	1998-07-28	CAN	No	190 Lbs	6 ft0	No	No	N/A	No	No	3		False	False	Pro & Farm	787,500$	462,054$	0$	0$	No	787,500$	787,500$	Restricted	-	-	-	-	787,500$	787,500$	-	-	-	-	-	-	-	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$	495,302$	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$	501,658$	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$	542,730$	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$	542,730$	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$	452,226$	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$	452,226$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link


25	22.32	190 Lbs	6 ft1	1.64	871,486$



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	Justin Sourdif	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, Justin Sourdif, 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	Admirals	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	4	3	2	1.000	7	13	20	0	0	96	82	70	2	36	482	439	369	9	40	15	0	18	0	0	0%	0	0	0%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
2	Americans	1	1	0	0	0	0	0	0	8	6	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	6	2	2	1.000	8	15	23	0	0	96	82	70	2	40	482	439	369	9	37	9	5	14	2	1	50.00%	0	0	0%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
3	Barracuda	2	2	0	0	0	0	0	0	16	11	5	1	1	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	8	5	3	4	1.000	16	25	41	0	0	96	82	70	2	76	482	439	369	9	74	12	9	35	0	0	0%	2	1	50.00%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
4	Bruins	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	10	17	0	0	96	82	70	2	34	482	439	369	9	31	10	27	26	0	0	0%	1	0	100.00%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
5	Checkers	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	3	3	4	1.000	9	13	22	0	0	96	82	70	2	69	482	439	369	9	49	22	28	46	1	1	100.00%	3	0	100.00%	1	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
6	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	96	82	70	2	35	482	439	369	9	41	16	5	26	0	0	0%	0	0	0%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
7	Crunch	2	2	0	0	0	0	0	0	14	5	9	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	7	4	3	4	1.000	14	22	36	0	0	96	82	70	2	81	482	439	369	9	69	31	9	38	4	1	25.00%	2	0	100.00%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
8	Eagles	1	1	0	0	0	0	0	0	10	9	1	1	1	0	0	0	0	0	0	10	9	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	15	25	0	0	96	82	70	2	46	482	439	369	9	28	11	0	25	0	0	0%	0	0	0%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
9	Firebirds	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	12	19	0	0	96	82	70	2	39	482	439	369	9	24	14	0	22	0	0	0%	0	0	0%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
10	Griffins	1	1	0	0	0	0	0	0	8	5	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	5	3	2	1.000	8	14	22	0	0	96	82	70	2	37	482	439	369	9	26	12	0	25	3	1	33.33%	0	0	0%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
11	Gulls	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	2	4	2	1.000	6	10	16	0	0	96	82	70	2	29	482	439	369	9	29	10	2	28	2	0	0.00%	1	0	100.00%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
12	IceHogs	2	1	0	0	1	0	0	0	13	7	6	1	1	0	0	0	0	0	0	8	3	5	1	0	0	0	1	0	0	0	5	4	1	4	1.000	13	22	35	0	0	96	82	70	2	69	482	439	369	9	76	28	10	39	0	0	0%	0	0	0%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
13	Marlies	2	1	1	0	0	0	0	0	8	11	-3	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	3	7	-4	2	0.500	8	14	22	0	0	96	82	70	2	69	482	439	369	9	56	23	2	28	3	1	33.33%	1	1	0.00%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
14	Monsters	2	2	0	0	0	0	0	0	15	5	10	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	8	4	4	4	1.000	15	26	41	0	0	96	82	70	2	77	482	439	369	9	78	21	20	28	1	0	0.00%	0	0	0%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
15	Penguins	2	0	1	0	1	0	0	0	6	6	0	1	0	1	0	0	0	0	0	1	2	-1	1	0	0	0	1	0	0	0	5	4	1	2	0.500	6	9	15	0	0	96	82	70	2	71	482	439	369	9	70	16	9	44	5	1	20.00%	2	0	100.00%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
16	Reign	1	0	0	0	0	1	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	6	7	-1	1	0.500	6	12	18	0	0	96	82	70	2	34	482	439	369	9	37	9	4	22	0	0	0%	2	1	50.00%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
17	Roadrunners	1	1	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	10	4	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	16	26	0	0	96	82	70	2	46	482	439	369	9	38	16	10	18	0	0	0%	0	0	0%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
18	Rocket	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	96	82	70	2	36	482	439	369	9	35	8	0	16	0	0	0%	0	0	0%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
19	Silver Knights	2	1	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	8	2	6	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	9	15	24	0	0	96	82	70	2	68	482	439	369	9	67	26	2	28	1	0	0.00%	1	1	0.00%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
20	Stars	2	2	0	0	0	0	0	0	36	11	25	1	1	0	0	0	0	0	0	19	4	15	1	1	0	0	0	0	0	0	17	7	10	4	1.000	36	57	93	0	0	96	82	70	2	64	482	439	369	9	78	42	45	38	0	0	0%	5	1	80.00%	2	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
21	Thunderbirds	2	2	0	0	0	0	0	0	13	5	8	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	7	3	4	4	1.000	13	20	33	0	0	96	82	70	2	70	482	439	369	9	58	20	29	39	0	0	0%	2	0	100.00%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
22	Wild	3	0	2	0	0	1	0	0	14	17	-3	2	0	1	0	0	1	0	0	6	8	-2	1	0	1	0	0	0	0	0	8	9	-1	1	0.167	14	22	36	0	0	96	82	70	2	102	482	439	369	9	102	46	14	55	6	3	50.00%	2	0	100.00%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
23	Wolf Pack	1	1	0	0	0	0	0	0	7	6	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	6	1	2	1.000	7	12	19	0	0	96	82	70	2	40	482	439	369	9	38	8	7	11	1	1	100.00%	1	0	100.00%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
24	Wranglers	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	4	3	2	1.000	7	12	19	0	0	96	82	70	2	31	482	439	369	9	29	17	0	18	4	1	25.00%	0	0	0%	0	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
	Total	36	27	5	0	2	2	0	0	250	149	101	16	13	2	0	0	1	0	0	112	54	58	20	14	3	0	2	1	0	0	138	95	43	60	0.833	250	412	662	0	0	96	82	70	2	1299	482	439	369	9	1210	442	237	687	33	11	33.33%	25	5	80.00%	3	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
	_Since Last GM Reset	36	27	5	0	2	2	0	0	250	149	101	16	13	2	0	0	1	0	0	112	54	58	20	14	3	0	2	1	0	0	138	95	43	60	0.833	250	412	662	0	0	96	82	70	2	1299	482	439	369	9	1210	442	237	687	33	11	33.33%	25	5	80.00%	3	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
	_Vs Conference	21	15	3	0	1	2	0	0	161	94	67	9	7	1	0	0	1	0	0	75	38	37	12	8	2	0	1	1	0	0	86	56	30	34	0.810	161	264	425	0	0	96	82	70	2	745	482	439	369	9	721	282	130	411	13	4	30.77%	15	4	73.33%	2	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292
	_Vs Division	12	8	2	0	1	1	0	0	103	57	46	7	5	1	0	0	1	0	0	59	30	29	5	3	1	0	1	0	0	0	44	27	17	19	0.792	103	165	268	0	0	96	82	70	2	433	482	439	369	9	420	178	108	232	6	3	50.00%	9	1	88.89%	2	322	593	54.30%	318	604	52.65%	362	645	56.12%	831	558	761	267	574	292

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
36	60	L1	250	412	662	1299	1210	442	237	687	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	27	5	2	2	0	0	250	149

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	13	2	0	1	0	0	112	54

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	14	3	2	1	0	0	138	95

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	1	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
33	11	33.33%	25	5	80.00%	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
482	439	369	9	96	82	70	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
322	593	54.30%	318	604	52.65%	362	645	56.12%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
831	558	761	267	574	292

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Day	Game	Visitor	Score	Home	Score	ST	OT	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	7	Firebirds	3	W		BoxScore
23 - 2024-10-26	129	Moose	7	Wranglers	4	W		BoxScore
25 - 2024-10-28	143	Marlies	4	Moose	5	W		BoxScore
27 - 2024-10-30	156	Moose	8	Griffins	5	W		BoxScore
29 - 2024-11-01	171	Moose	8	Monsters	4	W		BoxScore
31 - 2024-11-03	186	Crunch	1	Moose	7	W		BoxScore
33 - 2024-11-05	201	Roadrunners	4	Moose	10	W		BoxScore
35 - 2024-11-07	217	Eagles	9	Moose	10	W		BoxScore
37 - 2024-11-09	230	Stars	4	Moose	19	W		BoxScore
40 - 2024-11-12	247	Moose	7	Wolf Pack	6	W		BoxScore
42 - 2024-11-14	259	Moose	7	Crunch	4	W		BoxScore
44 - 2024-11-16	277	Moose	6	Checkers	3	W		BoxScore
47 - 2024-11-19	297	Checkers	2	Moose	3	W		BoxScore
50 - 2024-11-22	316	Moose	5	Penguins	4	W	X	BoxScore
51 - 2024-11-23	329	Moose	7	Admirals	4	W		BoxScore
53 - 2024-11-25	342	Moose	8	Wild	9	L		BoxScore
55 - 2024-11-27	359	Moose	6	Reign	7	L	X	BoxScore
57 - 2024-11-29	374	Moose	1	Silver Knights	5	L		BoxScore
59 - 2024-12-01	391	Moose	17	Stars	7	W		BoxScore
61 - 2024-12-03	403	Thunderbirds	2	Moose	6	W		BoxScore
63 - 2024-12-05	410	Moose	8	Americans	6	W		BoxScore
65 - 2024-12-07	427	Moose	5	IceHogs	4	W	X	BoxScore
66 - 2024-12-08	439	Monsters	1	Moose	7	W		BoxScore
68 - 2024-12-10	452	Bruins	3	Moose	7	W		BoxScore
70 - 2024-12-12	468	Silver Knights	2	Moose	8	W		BoxScore
72 - 2024-12-14	482	Rocket	3	Moose	7	W		BoxScore
75 - 2024-12-17	506	Moose	8	Barracuda	5	W		BoxScore
76 - 2024-12-18	511	Moose	6	Gulls	2	W		BoxScore
79 - 2024-12-21	536	Wild	6	Moose	5	L	X	BoxScore
81 - 2024-12-23	546	Moose	3	Marlies	7	L		BoxScore
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	56,000	24,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
25	5000 - 100.00%	108,375$	1,734,000$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
8,802,979$	21,787,140$	21,787,140$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
111,159$	8,802,979$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,709,375$	115	111,159$	12,783,285$

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: 36 \| W: 29 \| L: 5 \| OTL: 2 \| P: 60 GF: 250 \| GA: 149 \| PP%: 33.33% \| PK%: 80.00% Kyle Smith \| 50 \| 74 #574 vs Senators