Jets


	Moose 60-13-4, 124pts	5	FINAL	4	Silver Knights 42-28-7, 91pts

Team Stats
W2		L1
32-5-1		26-10-3
28-8-3		16-18-4
5-4-1		5-3-2
6.29		4.86
4.26		4.82
29.85%		26.47%
77.27%		78.72%

Moose
60-13-4, 124pts

FINAL

Roadrunners
24-49-4, 52pts

Team Stats
W2		L4
32-5-1		17-19-3
28-8-3		7-30-1
5-4-1		3-7-0
6.29		4.97
4.26		6.70
29.85%		22.54%
77.27%		70.77%

Thunderbirds
25-48-5, 55pts

2025-04-07

Moose
60-13-4, 124pts


L2		W2
14-23-3		32-5-1
11-25-2		28-8-3
2-8-0		5-4-1
4.38		6.29
5.76		6.29
32.35%		29.85%
80.00%		77.27%

Moose
60-13-4, 124pts

2025-04-10

Stars
13-62-2, 28pts


W2		L2
32-5-1		8-28-2
28-8-3		5-34-0
5-4-1		2-7-1
6.29		4.32
4.26		4.32
29.85%		33.80%
77.27%		69.49%

Moose
60-13-4, 124pts

2025-04-12

IceHogs
39-33-5, 83pts


W2		L1
32-5-1		26-12-2
28-8-3		13-21-3
5-4-1		6-4-0
6.29		4.94
4.26		4.94
29.85%		28.81%
77.27%		64.41%


	Jack Quinn 109			Peyton Krebs 121

	Jack Quinn 213			Peyton Krebs 99

	Arturs Silovs 60			Arturs Silovs 0.873


484 6.29 GFG	2582 33.53 Avg	29.9% 20 GF	31.5%
328 4.26 GAA	2483 32.25 Avg	77.3%% 10 GA	32.7%


		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	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Jack Quinn	Moose (WIN)	RW	77	109	104	213	96	4	0	116	72	369	121	220	29.54%	35	1616	20.99	3	6	9	9	53	0	0	0	0	0	21	2	56.79%	81	240	29	0	12	2.64	0	0	0	22	15	5
2	Peyton Krebs	Moose (WIN)	C	77	63	121	184	99	4	0	170	133	306	107	193	20.59%	76	1646	21.39	3	6	9	13	54	2	1	3	4	49	11	3	57.80%	1379	145	53	0	5	2.23	0	0	0	13	13	10
3	Olen Zellweger	Moose (WIN)	D	77	63	87	150	82	2	0	88	166	254	122	113	24.80%	135	1877	24.39	6	3	9	16	60	2	2	4	2	45	7	3	0%	0	105	106	1	5	1.60	0	0	0	10	7	7
4	Matthew Kessel	Moose (WIN)	D	77	44	79	123	77	0	0	108	131	203	75	82	21.67%	161	1873	24.33	3	2	5	12	60	1	2	3	1	47	7	4	0%	0	46	102	0	1	1.31	0	0	0	4	7	7
5	Jaret Anderson-Dolan	Moose (WIN)	C/LW/RW	77	51	59	110	21	0	0	163	76	243	83	156	20.99%	24	1435	18.64	2	8	10	9	47	0	0	0	0	11	4	2	51.10%	908	129	33	0	0	1.53	0	0	0	3	4	5
6	Ryan Johnson	Moose (WIN)	D	77	31	45	76	53	0	0	67	136	160	78	77	19.38%	106	1517	19.71	1	0	1	7	45	0	0	0	2	29	1	1	0%	0	73	97	0	0	1.00	0	0	0	1	3	6
7	Noah Gregor	Moose (WIN)	C	58	21	49	70	4	0	0	111	113	168	72	108	12.50%	45	1047	18.07	0	0	0	0	0	0	0	0	0	0	2	0	60.47%	43	86	40	0	1	1.34	0	0	0	4	1	3
8	Chaz Lucius	Moose (WIN)	C	77	15	50	65	23	6	0	107	84	165	63	125	9.09%	33	1279	16.61	0	1	1	1	37	0	0	0	0	0	0	1	55.14%	729	75	18	0	0	1.02	0	0	0	2	3	1
9	Justin Sourdif	Moose (WIN)	C/LW/RW	66	16	29	45	31	0	0	102	48	141	46	82	11.35%	24	1054	15.98	0	0	0	0	0	0	0	0	0	0	1	2	42.86%	28	76	13	0	0	0.85	0	0	0	2	2	1
10	Kieffer Bellows	Moose (WIN)	LW	77	16	28	44	22	58	30	69	56	89	32	56	17.98%	16	1458	18.95	1	3	4	6	49	0	0	0	1	20	2	1	38.24%	68	65	15	0	0	0.60	2	2	2	0	0	0
11	Sean Day	Moose (WIN)	D	77	11	20	31	15	12	10	43	94	72	29	34	15.28%	69	1259	16.36	0	0	0	0	0	0	0	0	0	4	1	2	0%	0	15	74	0	0	0.49	1	0	1	0	1	1
12	Luke Henman	Moose (WIN)	C/LW/RW	77	11	19	30	21	103	65	79	63	97	43	77	11.34%	26	1277	16.59	0	0	0	0	5	0	1	1	0	10	1	1	53.85%	26	41	23	0	0	0.47	3	3	7	1	0	0
13	Graeme Clarke	Moose (WIN)	C/LW/RW	77	9	21	30	83	100	90	81	37	50	19	35	18.00%	16	1445	18.77	0	0	0	1	50	0	1	1	0	51	1	2	31.48%	54	6	11	0	0	0.42	3	4	11	0	1	0
14	Felix Robert	Moose (WIN)	C	77	5	24	29	10	6	0	49	34	64	21	50	7.81%	11	688	8.95	0	0	0	0	0	0	0	0	0	0	0	0	55.70%	316	21	11	0	0	0.84	0	0	0	0	0	1
15	David Spacek	Moose (WIN)	D	77	6	15	21	13	4	0	49	61	46	22	14	13.04%	55	1235	16.05	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	15	41	0	0	0.34	0	0	0	0	0	1
16	Jack Thompson	Moose (WIN)	D	77	2	17	19	50	90	80	47	85	55	25	30	3.64%	66	1486	19.30	0	2	2	1	44	0	0	0	0	25	0	0	0%	0	12	56	0	0	0.26	4	2	10	0	0	0
17	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	0	1.27	0	0	0	0	0	1
18	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	0.93	0	0	0	0	0	0
19	Matthew Maggio	Moose (WIN)	C/LW/RW	30	3	5	8	14	0	0	19	11	36	10	15	8.33%	0	331	11.05	1	2	3	3	15	0	0	0	0	0	0	0	54.55%	11	7	0	0	0	0.48	0	0	0	0	0	0
20	Clark Bishop	Moose (WIN)	C	58	0	3	3	-1	0	0	12	4	3	2	2	0%	2	121	2.09	0	0	0	0	2	0	0	0	0	7	0	0	58.62%	29	3	2	0	0	0.49	0	0	0	0	0	0
21	Antti Tuomisto	Moose (WIN)	D	58	0	0	0	2	0	0	2	0	0	0	0	0%	1	18	0.32	0	0	0	0	0	0	0	0	0	1	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
				1386	484	788	1272	721	389	275	1515	1420	2582	987	1499	18.75%	906	23055	16.63	20	33	53	78	527	5	7	12	10	307	60	24	54.49%	3689	1191	731	1	24	1.10	13	11	31	62	57	49

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)	77	60	11	4	0.873	4.12	4490	6	308	2433	1395	7	0	77	0	1	4
2	Mads Sogaard	Moose (WIN)	6	0	2	0	0.600	8.76	137	0	20	50	20	1	0	0	77	0	0
			83	60	13	4	0.868	4.25	4628	6	328	2483	1415	8		77	77	1	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

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$	48,686$	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$	51,913$	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$	45,646$	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$	51,913$	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$	49,837$	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$	48,406$	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$	51,913$	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$	47,932$	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$	51,913$	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$	51,913$	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$	46,488$	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$	52,068$	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$	47,564$	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$	42,092$	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$	51,913$	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$	51,913$	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$	51,913$	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$	48,827$	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$	44,196$	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$	47,377$	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$	47,985$	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$	51,913$	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$	51,913$	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$	46,488$	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$	43,256$	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$	43,256$	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	Admirals	4	4	0	0	0	0	0	0	28	15	13	2	2	0	0	0	0	0	0	12	4	8	2	2	0	0	0	0	0	0	16	11	5	8	1.000	28	48	76	0	0	204	144	130	6	134	926	867	773	16	142	52	7	85	1	0	0.00%	1	1	0.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
2	Americans	2	2	0	0	0	0	0	0	13	9	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	8	6	2	4	1.000	13	25	38	0	0	204	144	130	6	70	926	867	773	16	57	22	5	32	3	1	33.33%	0	0	0%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
3	Barracuda	3	3	0	0	0	0	0	0	23	14	9	2	2	0	0	0	0	0	0	15	9	6	1	1	0	0	0	0	0	0	8	5	3	6	1.000	23	37	60	0	0	204	144	130	6	109	926	867	773	16	95	22	11	61	0	0	0%	3	1	66.67%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
4	Bears	2	2	0	0	0	0	0	0	16	10	6	1	1	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	8	5	3	4	1.000	16	24	40	0	0	204	144	130	6	74	926	867	773	16	76	33	9	30	1	0	0.00%	2	0	100.00%	1	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
5	Bruins	2	2	0	0	0	0	0	0	14	8	6	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	5	2	4	1.000	14	23	37	0	0	204	144	130	6	67	926	867	773	16	66	21	34	37	0	0	0%	2	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
6	Canucks	3	2	1	0	0	0	0	0	16	18	-2	2	1	1	0	0	0	0	0	10	14	-4	1	1	0	0	0	0	0	0	6	4	2	4	0.667	16	24	40	0	0	204	144	130	6	88	926	867	773	16	93	44	2	69	2	0	0.00%	1	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
7	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	204	144	130	6	69	926	867	773	16	49	22	28	46	1	1	100.00%	3	0	100.00%	1	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
8	Comets	2	0	2	0	0	0	0	0	7	14	-7	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	7	13	20	0	0	204	144	130	6	62	926	867	773	16	68	27	6	37	2	0	0.00%	3	2	33.33%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
9	Condors	2	1	1	0	0	0	0	0	8	5	3	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	8	5	3	2	0.500	8	14	22	0	0	204	144	130	6	66	926	867	773	16	73	24	12	54	1	0	0.00%	1	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
10	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	204	144	130	6	81	926	867	773	16	69	31	9	38	4	1	25.00%	2	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
11	Eagles	4	2	0	0	2	0	0	0	25	19	6	2	1	0	0	1	0	0	0	15	13	2	2	1	0	0	1	0	0	0	10	6	4	8	1.000	25	38	63	0	0	204	144	130	6	136	926	867	773	16	107	42	10	84	0	0	0%	0	0	0%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
12	Firebirds	3	1	1	0	0	1	0	0	17	15	2	1	0	1	0	0	0	0	0	5	6	-1	2	1	0	0	0	1	0	0	12	9	3	3	0.500	17	30	47	0	0	204	144	130	6	90	926	867	773	16	87	28	2	65	0	0	0%	1	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
13	Griffins	2	2	0	0	0	0	0	0	15	9	6	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	8	5	3	4	1.000	15	24	39	0	0	204	144	130	6	70	926	867	773	16	54	20	5	49	3	1	33.33%	0	0	0%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
14	Gulls	2	2	0	0	0	0	0	0	13	7	6	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	13	22	35	0	0	204	144	130	6	63	926	867	773	16	63	23	2	49	5	1	20.00%	1	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
15	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	204	144	130	6	69	926	867	773	16	76	28	10	39	0	0	0%	0	0	0%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
16	Islanders	2	1	1	0	0	0	0	0	6	9	-3	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	0	6	-6	2	0.500	6	9	15	0	0	204	144	130	6	53	926	867	773	16	57	25	7	33	1	1	100.00%	1	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
17	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	204	144	130	6	69	926	867	773	16	56	23	2	28	3	1	33.33%	1	1	0.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
18	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	204	144	130	6	77	926	867	773	16	78	21	20	28	1	0	0.00%	0	0	0%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
19	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	204	144	130	6	71	926	867	773	16	70	16	9	44	5	1	20.00%	2	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
20	Phantoms	2	2	0	0	0	0	0	0	11	7	4	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	5	4	1	4	1.000	11	16	27	0	0	204	144	130	6	63	926	867	773	16	61	22	0	32	4	2	50.00%	0	0	0%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
21	Reign	3	0	1	0	1	1	0	0	17	20	-3	1	0	0	0	1	0	0	0	5	4	1	2	0	1	0	0	1	0	0	12	16	-4	3	0.500	17	30	47	0	0	204	144	130	6	96	926	867	773	16	112	31	14	62	5	0	0.00%	2	1	50.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
22	Roadrunners	4	4	0	0	0	0	0	0	31	17	14	2	2	0	0	0	0	0	0	18	8	10	2	2	0	0	0	0	0	0	13	9	4	8	1.000	31	50	81	0	0	204	144	130	6	151	926	867	773	16	135	62	35	67	5	2	40.00%	0	0	0%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
23	Rocket	2	1	1	0	0	0	0	0	10	9	1	1	1	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	10	18	28	0	0	204	144	130	6	63	926	867	773	16	76	25	12	39	1	0	0.00%	1	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
24	Senators	2	2	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	4	2	2	4	1.000	11	14	25	0	0	204	144	130	6	56	926	867	773	16	67	14	2	51	0	0	0%	1	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
25	Silver Knights	3	1	1	0	1	0	0	0	14	11	3	1	1	0	0	0	0	0	0	8	2	6	2	0	1	0	1	0	0	0	6	9	-3	4	0.667	14	23	37	0	0	204	144	130	6	92	926	867	773	16	94	40	7	44	1	0	0.00%	1	1	0.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
26	Stars	3	3	0	0	0	0	0	0	46	12	34	2	2	0	0	0	0	0	0	29	5	24	1	1	0	0	0	0	0	0	17	7	10	6	1.000	46	70	116	0	0	204	144	130	6	102	926	867	773	16	106	53	50	60	2	1	50.00%	5	1	80.00%	2	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
27	Thunderbirds	3	3	0	0	0	0	0	0	20	11	9	1	1	0	0	0	0	0	0	6	2	4	2	2	0	0	0	0	0	0	14	9	5	6	1.000	20	34	54	0	0	204	144	130	6	101	926	867	773	16	91	26	36	66	1	0	0.00%	3	1	66.67%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
28	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	204	144	130	6	102	926	867	773	16	102	46	14	55	6	3	50.00%	2	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
29	Wolf Pack	2	2	0	0	0	0	0	0	14	11	3	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	7	6	1	4	1.000	14	24	38	0	0	204	144	130	6	79	926	867	773	16	72	20	7	37	2	1	50.00%	1	0	100.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
30	Wolves	2	1	0	0	0	1	0	0	9	7	2	1	1	0	0	0	0	0	0	6	3	3	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	9	13	22	0	0	204	144	130	6	55	926	867	773	16	49	12	6	38	2	1	50.00%	3	0	100.00%	1	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
31	Wranglers	3	3	0	0	0	0	0	0	21	12	9	2	2	0	0	0	0	0	0	14	8	6	1	1	0	0	0	0	0	0	7	4	3	6	1.000	21	37	58	0	0	204	144	130	6	104	926	867	773	16	82	31	22	56	5	2	40.00%	1	1	0.00%	0	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
	Total	77	54	13	0	6	4	0	0	484	328	156	38	30	5	0	2	1	0	0	250	141	109	39	24	8	0	4	3	0	0	234	187	47	124	0.805	484	788	1272	0	0	204	144	130	6	2582	926	867	773	16	2483	906	395	1515	67	20	29.85%	44	10	77.27%	5	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
	_Since Last GM Reset	77	54	13	0	6	4	0	0	484	328	156	38	30	5	0	2	1	0	0	250	141	109	39	24	8	0	4	3	0	0	234	187	47	124	0.805	484	788	1272	0	0	204	144	130	6	2582	926	867	773	16	2483	906	395	1515	67	20	29.85%	44	10	77.27%	5	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
	_Vs Conference	45	30	7	0	5	3	0	0	306	200	106	22	16	3	0	2	1	0	0	158	91	67	23	14	4	0	3	2	0	0	148	109	39	73	0.811	306	501	807	0	0	204	144	130	6	1503	926	867	773	16	1458	552	234	916	34	9	26.47%	22	7	68.18%	2	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636
	_Vs Division	23	17	2	0	3	1	0	0	177	98	79	12	9	1	0	1	1	0	0	94	43	51	11	8	1	0	2	0	0	0	83	55	28	41	0.891	177	284	461	0	0	204	144	130	6	795	926	867	773	16	759	309	162	456	15	6	40.00%	11	3	72.73%	2	628	1155	54.37%	638	1199	53.21%	744	1316	56.53%	1723	1131	1649	583	1257	636

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
77	124	W2	484	788	1272	2582	2483	906	395	1515	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
77	54	13	6	4	0	0	484	328

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	30	5	2	1	0	0	250	141

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	24	8	4	3	0	0	234	187

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	4	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
67	20	29.85%	44	10	77.27%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
926	867	773	16	204	144	130	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
628	1155	54.37%	638	1199	53.21%	744	1316	56.53%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1723	1131	1649	583	1257	636

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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	1	Moose	7	W		BoxScore
88 - 2024-12-30	587	Admirals	3	Moose	6	W		BoxScore
89 - 2024-12-31	597	Moose	6	Eagles	5	W	X	BoxScore
91 - 2025-01-02	609	Gulls	5	Moose	7	W		BoxScore
93 - 2025-01-04	621	Griffins	4	Moose	7	W		BoxScore
96 - 2025-01-07	647	Admirals	1	Moose	6	W		BoxScore
99 - 2025-01-10	667	Reign	4	Moose	5	W	X	BoxScore
100 - 2025-01-11	678	Eagles	4	Moose	5	W	X	BoxScore
103 - 2025-01-14	702	Canucks	4	Moose	5	W		BoxScore
105 - 2025-01-16	716	Firebirds	6	Moose	5	L		BoxScore
107 - 2025-01-18	730	Wranglers	3	Moose	5	W		BoxScore
109 - 2025-01-20	747	Moose	5	Roadrunners	4	W		BoxScore
111 - 2025-01-22	759	Moose	4	Eagles	1	W		BoxScore
113 - 2025-01-24	775	Roadrunners	4	Moose	8	W		BoxScore
115 - 2025-01-26	791	Wranglers	5	Moose	9	W		BoxScore
117 - 2025-01-28	800	Moose	3	Rocket	6	L		BoxScore
119 - 2025-01-30	812	Moose	7	Bruins	5	W		BoxScore
121 - 2025-02-01	831	Moose	8	Bears	5	W		BoxScore
124 - 2025-02-04	852	Wolves	3	Moose	6	W		BoxScore
127 - 2025-02-07	872	Islanders	3	Moose	6	W		BoxScore
142 - 2025-02-22	903	Moose	7	Thunderbirds	6	W		BoxScore
144 - 2025-02-24	916	Barracuda	3	Moose	7	W		BoxScore
146 - 2025-02-26	930	Moose	4	Senators	2	W		BoxScore
147 - 2025-02-27	941	Moose	9	Admirals	7	W		BoxScore
149 - 2025-03-01	956	Phantoms	3	Moose	6	W		BoxScore
152 - 2025-03-04	978	Moose	0	Islanders	6	L		BoxScore
154 - 2025-03-06	991	Moose	5	Phantoms	4	W		BoxScore
155 - 2025-03-07	997	Moose	4	Comets	7	L		BoxScore
Trade Deadline
157 - 2025-03-09	1016	Moose	3	Wolves	4	L	X	BoxScore
159 - 2025-03-11	1031	Wolf Pack	5	Moose	7	W		BoxScore
162 - 2025-03-14	1051	Stars	1	Moose	10	W		BoxScore
164 - 2025-03-16	1072	Moose	5	Firebirds	6	L	X	BoxScore
166 - 2025-03-18	1086	Moose	6	Canucks	4	W		BoxScore
168 - 2025-03-20	1099	Moose	1	Condors	2	L		BoxScore
171 - 2025-03-23	1119	Americans	3	Moose	5	W		BoxScore
173 - 2025-03-25	1135	Bears	5	Moose	8	W		BoxScore
176 - 2025-03-28	1156	Comets	7	Moose	3	L		BoxScore
178 - 2025-03-30	1172	Canucks	10	Moose	5	L		BoxScore
180 - 2025-04-01	1191	Moose	6	Reign	9	L		BoxScore
182 - 2025-04-03	1204	Moose	5	Silver Knights	4	W	X	BoxScore
184 - 2025-04-05	1219	Moose	8	Roadrunners	5	W		BoxScore
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	133,000	57,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
3	5000 - 100.00%	108,375$	4,118,250$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
20,661,657$	22,615,474$	22,615,474$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
115,385$	20,661,657$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
325,125$	11	115,385$	1,269,235$

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: 77 \| W: 60 \| L: 13 \| OTL: 4 \| P: 124 GF: 484 \| GA: 328 \| PP%: 29.85% \| PK%: 77.27% Kyle Smith \| 50 \| 73 #1231 vs Thunderbirds