Game Center
	Milwaukee Admirals 48-24-9, 105pts	2	FINAL	3	Calgary Wranglers 47-27-7, 101pts

Team Stats
W1	Streak	W3
26-11-4	Home Record	22-14-4
22-13-5	Home Record	25-13-3
5-4-1	Last 10 Games	5-5-0
3.26	Goals Per Game	3.53
2.69	Goals Against Per Game	3.46
24.92%	Power Play Percentage	19.93%
78.89%	Penalty Kill Percentage	81.14%

Iowa Wild
47-26-8, 102pts

FINAL

Milwaukee Admirals
48-24-9, 105pts

Team Stats
L1	Streak	W1
28-11-2	Home Record	26-11-4
19-15-6	Home Record	22-13-5
4-5-1	Last 10 Games	5-4-1
3.56	Goals Per Game	3.26
2.95	Goals Against Per Game	2.69
21.52%	Power Play Percentage	24.92%
78.35%	Penalty Kill Percentage	78.89%

Milwaukee Admirals
48-24-9, 105pts

2026-02-18

Manitoba Moose
45-29-7, 97pts

Team Stats
W1	Streak	L3
26-11-4	Home Record	23-13-4
22-13-5	Away Record	22-16-3
5-4-1	Last 10 Games	4-5-1
3.26	Goals Per Game	3.16
2.69	Goals Against Per Game	3.16
24.92%	Power Play Percentage	16.36%
78.89%	Penalty Kill Percentage	80.67%

Team Leaders
	Goals Dmitri Voronkov 21	Assists Calen Addison 56

	Points Calen Addison 67	Plus/Minus Calen Addison 20

	Wins Kirill Zarubin 47	Save Percentage Nikita Tolopilo 0.962

Team Stats
Goals For 264 3.26 GFG	Shots For 2786 34.40 Avg	Power Play Percentage 24.9% 75 GF	Offensive Zone Start 42.4%
Goals Against 218 2.69 GAA	Shots Against 2428 29.98 Avg	Penalty Kill Percentage 78.9%% 57 GA	Defensive Zone Start 39.7%

Team Info
	General Manager	Yann
	Division	Division 5
	Conference	Conference 2
	Captain	Urho Vaakanainen
	Assistant #1	Dmitri Voronkov
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,803
	Season Tickets	0
Roster Info
	Pro Team	28
	Farm Team	21
	Contract Limit	49 / 55
	Prospects	17

Show or Hide Columns

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Taylor Raddysh	0			X		99.00	79	50	85	74	73	74	90	78	37	62	59	79	25	72	72	57	50	67	0	27	5	1,750,000$
2	Josh Filmon (R)	0		X	X		100.00	51	45	87	78	66	76	91	76	62	60	79	59	81	57	53	87	50	66	0	21	1	925,000$
3	Alexander Holtz	0		X	X		100.00	64	42	94	82	70	65	73	72	34	64	73	64	25	62	62	75	50	65	0	23	6	1,500,000$
4	Dmitri Voronkov (A)	0	X		X		100.00	75	58	81	81	73	65	75	75	73	65	74	62	25	57	57	71	50	65	0	25	6	2,999,999$
5	Jesper Fast	0			X		100.00	74	44	93	76	71	62	90	62	38	63	57	71	75	83	87	18	50	65	0	33	2	1,000,000$
6	Callahan Burke	0	X		X		100.00	73	67	84	61	65	92	78	67	79	65	65	64	57	46	46	63	50	62	0	28	1	1,000,000$
7	Steven Fogarty	0	X		X		100.00	78	78	78	65	79	76	80	62	76	56	64	66	59	51	51	35	50	62	0	32	1	1,000,000$
8	Radim Zohorna	0	X	X	X		100.00	89	88	75	68	85	73	76	63	67	60	55	60	59	59	59	48	50	61	0	29	1	700,000$
9	Aatu Raty (R)	0	X				100.00	70	66	93	62	70	83	82	61	81	60	60	64	59	50	50	75	50	61	0	22	5	725,000$
10	Ben Meyers	0	X	X			100.00	76	44	92	70	69	56	77	61	57	58	55	67	25	58	59	59	50	60	0	26	1	700,000$
11	Pavol Regenda	0		X	X		100.00	76	78	73	65	80	72	76	60	50	54	61	64	61	50	50	70	50	60	0	26	1	700,000$
12	Zachary L'Heureux (R)	0	X	X			100.00	57	66	44	67	70	65	68	61	78	60	60	57	57	49	49	85	50	58	0	22	5	700,000$
13	Calen Addison	0				X	100.00	71	46	71	83	63	72	81	84	25	64	57	72	25	64	65	71	50	68	0	25	5	1,700,000$
14	Urho Vaakanainen (C)	0				X	100.00	69	43	89	78	73	73	63	68	25	59	52	86	25	63	63	71	50	68	0	26	5	1,600,069$
15	Michael Stone	76				X	100.00	77	58	78	76	79	62	53	62	25	51	56	69	25	77	78	19	50	64	0	35	1	1,500,000$
16	Ian Mitchell	0				X	100.00	57	40	82	77	63	67	63	64	25	54	50	77	25	54	54	69	50	62	0	26	5	1,000,000$
17	Uvis Balinskis	0				X	100.00	76	44	91	75	68	64	67	61	25	47	48	70	25	50	50	51	50	61	0	29	6	700,000$
18	Topias Vilen (R)	0				X	100.00	73	68	91	63	71	60	63	53	25	51	40	66	38	48	48	86	50	58	0	22	3	700,000$
Scratches
1	Justin Sourdif (R)	0	X		X		100.00	63	61	74	67	63	67	69	59	75	58	57	59	55	48	48	76	50	57	0	23	4	700,000$
2	Tristen Robins	0	X		X		100.00	71	63	91	66	63	67	68	56	70	53	54	61	51	47	47	77	50	56	0	23	2	700,000$
3	Justin Hryckowian (R)	0	X				100.00	74	68	87	67	68	50	50	50	63	49	47	61	45	48	48	76	50	53	0	24	4	700,000$
4	Robert Hagg	79				X	100.00	72	72	81	75	76	58	62	50	25	39	41	69	39	72	72	48	50	61	0	30	1	700,000$
5	Tyler Kleven (R)	0				X	100.00	71	71	80	70	77	61	66	51	25	46	42	64	40	47	47	77	50	58	0	23	6	700,000$
6	Stanislav Svozil (R)	0				X	100.00	70	66	88	69	68	61	63	51	25	47	41	60	39	49	49	85	50	57	0	22	3	700,000$
7	Dmitri Samorukov	0				X	100.00	75	69	89	65	69	74	79	47	25	37	41	60	39	49	49	70	50	57	0	26	2	700,000$

	TEAM AVERAGE						99.96	71	60	83	71	71	68	72	62	48	55	56	66	43	56	57	65	50	61

Show or Hide Columns

Filter Tips

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

#	Goalie Name	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Kirill Zarubin (R)	0	99.00	72	82	73	76	73	76	58	73	67	67	66	48	48	93	50	67	0	20	2	875,000$
2	Nikita Tolopilo	0	100.00	60	47	59	95	71	74	68	72	75	66	30	47	47	72	50	66	0	25	1	2,500,000$
Scratches
1	Alexei Kolosov (R)	0	100.00	60	47	59	70	63	71	64	69	72	66	30	48	48	76	50	62	0	23	1	925,000$

	TEAM AVERAGE		99.67	64	59	64	80	69	74	63	71	71	66	42	48	48	80	50	65

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

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Calen Addison	Milwaukee Admirals (NSH)	D	81	11	56	67	20	76	199	112	144	47	96	7.64%	89	1737	21.45	5	19	24	78	239	0	0	0	1	140	0	0	0%	0	0	0	0.77	0	0	2	6	1
2	Dmitri Voronkov	Milwaukee Admirals (NSH)	C/RW	81	21	44	65	16	14	58	172	236	67	181	8.90%	6	1478	18.25	6	13	19	58	242	0	0	0	0	19	7	3	54.47%	1900	0	0	0.88	0	0	1	7	2
3	Bobby McMann	Nashville Predators	LW/RW	75	34	31	65	19	52	240	89	305	82	206	11.15%	13	1350	18.01	7	15	22	58	220	0	0	0	0	2	6	2	48.39%	124	0	0	0.96	0	4	13	2	4
4	Ian Mitchell	Milwaukee Admirals (NSH)	D	82	12	38	50	13	16	65	72	124	45	79	9.68%	89	1656	20.20	6	12	18	54	206	0	0	0	2	211	1	0	0%	0	0	0	0.60	0	0	1	1	2
5	Urho Vaakanainen	Milwaukee Admirals (NSH)	D	81	13	33	46	11	48	118	97	161	46	102	8.07%	103	1809	22.33	9	13	22	86	250	0	0	0	0	53	1	0	0%	0	0	0	0.51	0	0	0	1	3
6	Connor Dewar	Nashville Predators	C/LW	43	15	30	45	23	24	150	117	146	49	122	10.27%	20	812	18.90	4	7	11	35	124	0	0	0	0	11	2	0	49.01%	1065	0	0	1.11	0	0	5	4	7
7	Philip Tomasino	Nashville Predators	C/LW/RW	43	22	22	44	24	4	17	50	148	29	101	14.86%	2	795	18.51	2	4	6	23	124	0	0	0	0	0	7	3	32.26%	62	0	0	1.11	2	5	6	4	2
8	Josh Filmon	Milwaukee Admirals (NSH)	LW/RW	70	20	23	43	8	0	5	79	244	64	157	8.20%	10	1262	18.04	7	8	15	42	205	0	0	0	0	0	6	2	49.56%	228	0	0	0.68	0	1	2	1	0
9	Taylor Raddysh	Milwaukee Admirals (NSH)	RW	81	15	26	41	2	24	98	125	205	52	147	7.32%	14	1357	16.75	7	10	17	43	160	0	2	2	9	258	2	1	34.12%	85	0	0	0.60	0	0	2	1	3
10	Kevin Korchinski	Nashville Predators	D	42	9	32	41	3	18	83	65	70	23	39	12.86%	48	945	22.51	5	9	14	34	130	0	0	0	1	6	3	0	0%	0	0	0	0.87	0	0	3	4	2
11	Pavel Dorofeyev	Nashville Predators	LW/RW	44	16	22	38	22	0	6	60	146	42	114	10.96%	8	825	18.77	3	5	8	17	127	0	0	0	0	8	1	0	28.81%	59	1	0	0.92	2	5	1	2	2
12	Alexander Holtz	Milwaukee Admirals (NSH)	LW/RW	47	16	17	33	6	4	8	53	153	47	88	10.46%	2	874	18.61	5	5	10	29	148	0	0	0	0	20	2	0	37.70%	61	0	1	0.75	0	0	1	3	2
13	Jesper Fast	Milwaukee Admirals (NSH)	RW	38	9	14	23	1	6	41	47	79	18	62	11.39%	7	583	15.37	4	6	10	13	117	0	0	0	0	0	0	1	35.00%	40	0	0	0.79	0	0	1	0	2
14	Uvis Balinskis	Milwaukee Admirals (NSH)	D	81	2	21	23	3	40	115	58	53	19	49	3.77%	99	1405	17.36	0	0	0	1	9	0	1	1	0	212	0	0	0%	0	0	0	0.33	0	0	1	1	0
15	Callahan Burke	Milwaukee Admirals (NSH)	C/RW	81	13	10	23	-1	28	92	178	117	32	85	11.11%	14	1349	16.66	2	2	4	9	56	2	0	2	3	281	2	1	54.17%	1763	0	0	0.34	0	0	0	2	0
16	Michael Stone	Milwaukee Admirals (NSH)	D	81	4	17	21	11	48	183	46	68	17	34	5.88%	98	1446	17.86	1	2	3	5	40	0	0	0	1	201	1	0	0%	0	0	0	0.29	0	0	1	2	1
17	Steven Fogarty	Milwaukee Admirals (NSH)	C/RW	81	4	10	14	4	34	84	72	69	27	66	5.80%	6	944	11.67	0	0	0	0	0	0	1	1	4	118	1	1	54.11%	475	0	0	0.30	1	3	0	1	0
18	Ben Meyers	Milwaukee Admirals (NSH)	C/LW	76	4	8	12	-19	16	25	61	75	16	46	5.33%	7	698	9.19	0	0	0	2	9	0	0	0	3	56	1	0	48.24%	85	0	0	0.34	0	0	0	0	1
19	Aatu Raty	Milwaukee Admirals (NSH)	C	81	6	5	11	-15	8	5	92	71	22	56	8.45%	10	785	9.70	0	0	0	0	0	1	0	1	9	126	0	1	55.47%	896	0	0	0.28	0	0	0	1	3
20	Radim Zohorna	Milwaukee Admirals (NSH)	C/LW/RW	68	5	5	10	1	52	92	40	63	11	42	7.94%	6	622	9.15	0	0	0	0	11	0	0	0	0	1	1	0	53.33%	45	0	0	0.32	1	3	1	2	0
21	Topias Vilen	Milwaukee Admirals (NSH)	D	39	3	5	8	-4	10	51	23	16	5	6	18.75%	32	652	16.73	0	0	0	0	1	0	0	0	0	84	1	0	0%	0	0	0	0.25	0	0	0	2	0
22	Pavol Regenda	Milwaukee Admirals (NSH)	LW/RW	19	1	2	3	-8	4	24	6	23	7	9	4.35%	1	176	9.31	1	0	1	4	22	0	0	0	0	0	0	0	31.25%	16	0	0	0.34	0	0	0	1	0
23	Zachary L'Heureux	Milwaukee Admirals (NSH)	C/LW	6	1	0	1	-1	0	7	2	10	0	4	10.00%	0	58	9.76	0	0	0	0	0	0	0	0	0	0	0	0	0%	4	0	0	0.34	0	0	0	0	0
Team Total or Average				1421	256	471	727	139	526	1766	1716	2726	767	1891	9.39%	684	23632	16.63	74	130	204	591	2448	3	4	7	33	1817	45	15	52.29%	6908	1	1	0.62	6	21	41	48	37

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S3
1	Kirill Zarubin	Milwaukee Admirals (NSH)	80	47	24	9	0.912	2.63	4833	2	4	212	2400	5	2	0.667	21	80	1	7	7
2	Nikita Tolopilo	Milwaukee Admirals (NSH)	1	1	0	0	0.962	1.00	60	0	0	1	26	0	0	0	0	1	80	0	0
Team Total or Average			81	48	24	9	0.912	2.61	4893	2	4	213	2426	5	2		21	81	81	7	7

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Aatu Raty	Milwaukee Admirals (NSH)	C	22	2002-11-14	FIN	Yes	191 Lbs	6 ft2	No	No	Assign Manually		No	No	5	2024-12-29	False	False	Pro & Farm	725,000$	0$	0$	No	725,000$	725,000$	725,000$	725,000$	-	-	-	-	-	725,000$	725,000$	725,000$	725,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Alexander Holtz	Milwaukee Admirals (NSH)	LW/RW	23	2002-01-23	SWE	No	196 Lbs	6 ft0	No	No	Trade	2025-09-14	No	No	6	2025-07-27	False	False	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link / NHL Link
Alexei Kolosov	Milwaukee Admirals (NSH)	G	23	2002-01-04	BEL	Yes	191 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2024-04-21	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ben Meyers	Milwaukee Admirals (NSH)	C/LW	26	1998-11-15	USA	No	200 Lbs	5 ft11	No	No	Assign Manually		No	No	1	2024-12-29	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Calen Addison	Milwaukee Admirals (NSH)	D	25	2000-04-10	MAN	No	180 Lbs	5 ft10	No	No	Assign Manually		No	No	5	2024-12-29	False	False	Pro & Farm	1,700,000$	0$	0$	No	1,700,000$	1,700,000$	1,700,000$	1,700,000$	-	-	-	-	-	1,700,000$	1,700,000$	1,700,000$	1,700,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Callahan Burke	Milwaukee Admirals (NSH)	C/RW	28	1997-05-19	USA	No	183 Lbs	5 ft10	No	No	Assign Manually		No	No	1	2025-08-30	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dmitri Samorukov	Milwaukee Admirals (NSH)	D	26	1999-06-16	RUS	No	187 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2025-08-29	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	-	-	-	-	-	-	-	-	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Dmitri Voronkov	Milwaukee Admirals (NSH)	C/RW	25	2000-09-10	RUS	No	196 Lbs	6 ft4	No	No	Assign Manually		No	No	6	2025-08-29	False	False	Pro & Farm	2,999,999$	0$	0$	No	2,999,999$	2,999,999$	2,999,999$	2,999,999$	2,999,999$	-	-	-	-	2,999,999$	2,999,999$	2,999,999$	2,999,999$	2,999,999$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link / NHL Link
Ian Mitchell	Milwaukee Admirals (NSH)	D	26	1999-01-18	AB	No	178 Lbs	5 ft11	No	No	Trade	2025-09-14	No	No	5	2025-01-15	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Jesper Fast	Milwaukee Admirals (NSH)	RW	33	1991-12-02	SWE	No	195 Lbs	6 ft1	No	No	Assign Manually	2025-01-12	No	No	2	2025-08-30	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Josh Filmon	Milwaukee Admirals (NSH)	LW/RW	21	2004-03-18	CAN	Yes	178 Lbs	6 ft3	No	No	Trade	2025-01-05	No	No	1	2024-08-14	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Justin Hryckowian	Milwaukee Admirals (NSH)	C	24	2001-02-23	QUE	Yes	198 Lbs	5 ft10	No	No	Assign Manually		No	No	4	2026-01-22	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	700,000$	-	-	-	-	-	-	700,000$	700,000$	700,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Justin Sourdif	Milwaukee Admirals (NSH)	C/RW	23	2002-03-24	BC	Yes	178 Lbs	5 ft11	No	No	Assign Manually		No	No	4	2025-07-27	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	700,000$	-	-	-	-	-	-	700,000$	700,000$	700,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Kirill Zarubin	Milwaukee Admirals (NSH)	G	20	2005-07-20	RUS	Yes	211 Lbs	6 ft4	No	No	Assign Manually		No	No	2	2025-01-10	False	False	Pro & Farm	875,000$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Michael Stone	Milwaukee Admirals (NSH)	D	35	1990-06-07	MB	No	212 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2025-08-30	False	False	Pro & Farm	1,500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Nikita Tolopilo	Milwaukee Admirals (NSH)	G	25	2000-04-06	BEL	No	235 Lbs	6 ft6	No	No	Assign Manually		No	No	1	2025-08-29	False	False	Pro & Farm	2,500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Pavol Regenda	Milwaukee Admirals (NSH)	LW/RW	26	1999-07-12	SVK	No	224 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2024-12-29	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Radim Zohorna	Milwaukee Admirals (NSH)	C/LW/RW	29	1996-04-29	CZE	No	224 Lbs	6 ft6	No	No	Assign Manually		No	No	1	2024-12-29	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Robert Hagg	Milwaukee Admirals (NSH)	D	30	1995-02-08	SWE	No	207 Lbs	6 ft2	No	No	Assign Manually	2024-11-10	No	No	1	2025-08-30	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Stanislav Svozil	Milwaukee Admirals (NSH)	D	22	2003-01-17	CZE	Yes	185 Lbs	6 ft1	No	No	Assign Manually		No	No	3	2024-12-29	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	-	-	-	-	-	-	-	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Steven Fogarty	Milwaukee Admirals (NSH)	C/RW	32	1993-04-19	USA	No	211 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2025-08-31	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Taylor Raddysh	Milwaukee Admirals (NSH)	RW	27	1998-02-18	CAN	No	201 Lbs	6 ft2	No	No	Trade	2025-01-12	No	No	5	2024-12-29	False	False	Pro & Farm	1,750,000$	0$	0$	No	1,750,000$	1,750,000$	1,750,000$	1,750,000$	-	-	-	-	-	1,750,000$	1,750,000$	1,750,000$	1,750,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Topias Vilen	Milwaukee Admirals (NSH)	D	22	2003-04-01	FIN	Yes	196 Lbs	6 ft1	No	No	Assign Manually		No	No	3	2024-12-29	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	-	-	-	-	-	-	-	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Tristen Robins	Milwaukee Admirals (NSH)	C/RW	23	2001-11-15	SKW	No	184 Lbs	5 ft10	No	No	Assign Manually		No	No	2	2024-12-29	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	-	-	-	-	-	-	-	-	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Tyler Kleven	Milwaukee Admirals (NSH)	D	23	2002-01-10	USA	Yes	204 Lbs	6 ft4	No	No	Assign Manually		No	No	6	2025-07-27	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	700,000$	700,000$	700,000$	-	-	-	-	700,000$	700,000$	700,000$	700,000$	700,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link / NHL Link
Urho Vaakanainen	Milwaukee Admirals (NSH)	D	26	1999-01-01	FIN	No	198 Lbs	6 ft2	No	No	Trade	2025-01-06	No	No	5	2024-12-29	False	False	Pro & Farm	1,600,069$	0$	0$	No	1,600,069$	1,600,069$	1,600,069$	1,600,069$	-	-	-	-	-	1,600,069$	1,600,069$	1,600,069$	1,600,069$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Uvis Balinskis	Milwaukee Admirals (NSH)	D	29	1996-08-01	LAT	No	189 Lbs	6 ft0	No	No	Assign Manually		No	No	6	2025-08-29	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	700,000$	700,000$	700,000$	-	-	-	-	700,000$	700,000$	700,000$	700,000$	700,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link / NHL Link
Zachary L'Heureux	Milwaukee Admirals (NSH)	C/LW	22	2003-05-15	QUE	Yes	200 Lbs	5 ft11	No	No	Assign Manually		No	No	5	2024-12-29	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	25.57	198 Lbs	6 ft1	3.07	1,075,002$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Josh Filmon	Dmitri Voronkov	Alexander Holtz	33	1	0	4
2	Radim Zohorna	Callahan Burke	Taylor Raddysh	32	1	0	4
3	Zachary L'Heureux	Steven Fogarty	Jesper Fast	20	1	2	2
4	Ben Meyers	Aatu Raty	Pavol Regenda	15	2	2	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Mitchell	Calen Addison	30	1	2	2
2	Michael Stone	Urho Vaakanainen	30	1	2	2
3	Uvis Balinskis	Topias Vilen	25	1	2	2
4	Urho Vaakanainen	Calen Addison	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alexander Holtz	Dmitri Voronkov	Josh Filmon	75	1	0	4
2	Pavol Regenda	Callahan Burke	Jesper Fast	25	1	0	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Calen Addison	Urho Vaakanainen	60	1	0	4
2	Taylor Raddysh	Ian Mitchell	40	1	0	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Callahan Burke	Taylor Raddysh	60	1	3	1
2	Aatu Raty	Steven Fogarty	40	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Stone	Uvis Balinskis	60	1	4	0
2	Ian Mitchell	Topias Vilen	40	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Callahan Burke	60	1	4	0	Michael Stone	Uvis Balinskis	60	1	4	0
2	Steven Fogarty	40	1	4	0	Ian Mitchell	Topias Vilen	40	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dmitri Voronkov	Alexander Holtz	60	1	2	2
2	Josh Filmon	Taylor Raddysh	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Urho Vaakanainen	Calen Addison	60	1	2	2
2	Ian Mitchell	Michael Stone	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Josh Filmon	Dmitri Voronkov	Alexander Holtz	Urho Vaakanainen	Calen Addison

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Josh Filmon	Dmitri Voronkov	Alexander Holtz	Urho Vaakanainen	Calen Addison

Extra Forwards
Normal	PowerPlay	Penalty Kill
Taylor Raddysh, Alexander Holtz, Josh Filmon	Taylor Raddysh, Josh Filmon	Ben Meyers

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Urho Vaakanainen, Calen Addison, Ian Mitchell	Michael Stone	Ian Mitchell, Uvis Balinskis

Penalty Shots
Zachary L'Heureux, Josh Filmon, Alexander Holtz, Dmitri Voronkov, Taylor Raddysh

Goalie
#1 : Kirill Zarubin, #2 : Nikita Tolopilo

Custom OT Lines Forwards
Dmitri Voronkov, Alexander Holtz, Josh Filmon, Taylor Raddysh, Callahan Burke, Jesper Fast, Jesper Fast, Steven Fogarty, Zachary L'Heureux, Aatu Raty, Pavol Regenda

Custom OT Lines Defensemen
Calen Addison, Urho Vaakanainen, Ian Mitchell, Michael Stone, Topias Vilen

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Abbotsford Canucks	4	2	1	0	0	1	0	0	15	11	4	2	1	1	0	0	0	0	0	8	5	3	2	1	0	0	0	1	0	0	7	6	1	5	0.625	15	27	42	0	1	98	84	74	12	145	917	925	907	58	108	37	24	78	12	3	25.00%	12	2	83.33%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
2	Bakersfield Condors	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	19	29	0	0	98	84	74	12	87	917	925	907	58	50	11	12	35	10	5	50.00%	6	0	100.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
3	Belleville Senators	2	1	0	0	1	0	0	0	8	6	2	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	14	22	0	0	98	84	74	12	66	917	925	907	58	73	20	10	52	6	1	16.67%	5	0	100.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
4	Bridgeport Islanders	2	1	0	0	0	0	0	1	7	6	1	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	4	2	2	3	0.750	7	13	20	0	0	98	84	74	12	78	917	925	907	58	54	17	16	46	3	2	66.67%	8	1	87.50%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
5	Calgary Wranglers	2	0	0	0	1	1	0	0	4	4	0	1	0	0	0	1	0	0	0	2	1	1	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	4	8	12	0	0	98	84	74	12	65	917	925	907	58	63	22	10	36	7	2	28.57%	5	0	100.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
6	Charlotte Checkers	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	1	4	4	1.000	10	17	27	0	0	98	84	74	12	73	917	925	907	58	69	19	12	45	9	5	55.56%	6	0	100.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
7	Chicago Wolves	4	1	3	0	0	0	0	0	11	15	-4	2	0	2	0	0	0	0	0	4	8	-4	2	1	1	0	0	0	0	0	7	7	0	2	0.250	11	22	33	1	0	98	84	74	12	138	917	925	907	58	136	28	30	79	19	3	15.79%	15	5	66.67%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
8	Cleveland Monsters	2	2	0	0	0	0	0	0	7	0	7	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	5	0	5	4	1.000	7	13	20	0	2	98	84	74	12	84	917	925	907	58	45	16	8	45	12	2	16.67%	4	0	100.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
9	Coachella Valley Firebirds	5	5	0	0	0	0	0	0	21	10	11	3	3	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	8	3	5	10	1.000	21	39	60	0	0	98	84	74	12	163	917	925	907	58	170	54	38	112	15	6	40.00%	19	2	89.47%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
10	Colorado Eagles	2	0	2	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	2	4	6	0	0	98	84	74	12	54	917	925	907	58	51	18	18	34	9	1	11.11%	9	4	55.56%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
11	Grand Rapids Griffins	2	0	2	0	0	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	7	11	18	0	0	98	84	74	12	89	917	925	907	58	58	14	6	33	13	2	15.38%	3	0	100.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
12	Hartford Wolf Pack	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	6	1	5	4	1.000	10	19	29	0	0	98	84	74	12	76	917	925	907	58	41	10	10	45	10	4	40.00%	5	0	100.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
13	Henderson Silver Knights	2	1	0	0	0	0	1	0	10	7	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	0	1	0	6	5	1	4	1.000	10	15	25	0	0	98	84	74	12	66	917	925	907	58	80	24	24	52	5	2	40.00%	12	2	83.33%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
14	Hershey Bears	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	4	8	12	0	0	98	84	74	12	64	917	925	907	58	45	11	6	43	10	1	10.00%	3	0	100.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
15	Iowa Wild	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	11	18	29	0	0	98	84	74	12	73	917	925	907	58	60	24	8	63	7	2	28.57%	4	1	75.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
16	Laval Rocket	2	1	0	0	0	1	0	0	9	8	1	1	0	0	0	0	1	0	0	4	5	-1	1	1	0	0	0	0	0	0	5	3	2	3	0.750	9	16	25	0	0	98	84	74	12	83	917	925	907	58	66	16	12	42	10	3	30.00%	6	1	83.33%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
17	Lehigh Valley Phantoms	2	1	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	10	15	0	0	98	84	74	12	63	917	925	907	58	60	16	18	58	3	1	33.33%	9	1	88.89%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
18	Manitoba Moose	2	0	1	0	1	0	0	0	5	6	-1	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	10	15	0	0	98	84	74	12	92	917	925	907	58	59	10	12	43	9	1	11.11%	6	1	83.33%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
19	Ontario Reign	2	1	0	0	0	0	0	1	4	4	0	1	0	0	0	0	0	0	1	1	2	-1	1	1	0	0	0	0	0	0	3	2	1	3	0.750	4	6	10	0	0	98	84	74	12	50	917	925	907	58	60	12	22	36	4	0	0.00%	11	1	90.91%	2	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
20	Providence Bruins	3	2	1	0	0	0	0	0	9	9	0	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	4	3	1	4	0.667	9	15	24	1	0	98	84	74	12	85	917	925	907	58	76	12	18	68	10	4	40.00%	9	3	66.67%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
21	Rochester Americans	3	1	0	0	0	2	0	0	10	10	0	2	1	0	0	0	1	0	0	6	5	1	1	0	0	0	0	1	0	0	4	5	-1	4	0.667	10	20	30	0	0	98	84	74	12	98	917	925	907	58	94	24	22	59	14	4	28.57%	11	4	63.64%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
22	Rockford IceHogs	5	2	3	0	0	0	0	0	10	12	-2	3	2	1	0	0	0	0	0	9	6	3	2	0	2	0	0	0	0	0	1	6	-5	4	0.400	10	19	29	0	0	98	84	74	12	151	917	925	907	58	162	46	44	113	18	4	22.22%	22	6	72.73%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
23	San Diego Gulls	4	2	1	0	0	1	0	0	11	9	2	1	1	0	0	0	0	0	0	5	4	1	3	1	1	0	0	1	0	0	6	5	1	5	0.625	11	20	31	0	0	98	84	74	12	138	917	925	907	58	135	43	32	97	15	3	20.00%	16	4	75.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
24	San Jose Barracuda	2	0	2	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	2	4	6	0	0	98	84	74	12	49	917	925	907	58	59	13	22	36	6	2	33.33%	11	2	81.82%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
25	Springfield Thunderbirds	5	1	1	0	2	0	0	1	17	13	4	3	1	0	0	2	0	0	0	13	6	7	2	0	1	0	0	0	0	1	4	7	-3	7	0.700	17	31	48	0	1	98	84	74	12	205	917	925	907	58	150	57	28	127	26	7	26.92%	14	3	78.57%	1	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
26	Syracuse Crunch	2	1	0	0	0	0	1	0	7	3	4	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	0	1	0	3	2	1	4	1.000	7	10	17	0	0	98	84	74	12	75	917	925	907	58	58	14	10	53	5	1	20.00%	5	2	60.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
27	Texas Stars	3	1	2	0	0	0	0	0	7	10	-3	1	1	0	0	0	0	0	0	4	2	2	2	0	2	0	0	0	0	0	3	8	-5	2	0.333	7	13	20	0	0	98	84	74	12	93	917	925	907	58	91	26	14	93	10	1	10.00%	7	3	57.14%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
28	Toronto Marlies	3	2	1	0	0	0	0	0	11	8	3	1	0	1	0	0	0	0	0	1	2	-1	2	2	0	0	0	0	0	0	10	6	4	4	0.667	11	22	33	0	0	98	84	74	12	81	917	925	907	58	94	33	20	65	4	0	0.00%	10	5	50.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
29	Tucson Roadrunners	2	2	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	19	29	0	0	98	84	74	12	85	917	925	907	58	43	9	8	45	8	2	25.00%	4	1	75.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
30	Utica Comets	2	0	1	0	1	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	1	0	0	0	3	2	1	2	0.500	5	10	15	0	0	98	84	74	12	57	917	925	907	58	68	17	12	51	5	0	0.00%	6	0	100.00%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
31	Wilkes-Barre/Scranton Penguins	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	5	9	14	0	0	98	84	74	12	60	917	925	907	58	50	11	14	38	7	1	14.29%	7	3	57.14%	0	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
	Total	81	40	24	0	6	6	2	3	264	218	46	41	21	11	0	5	2	0	2	135	107	28	40	19	13	0	1	4	2	1	129	111	18	105	0.648	264	481	745	2	4	98	84	74	12	2786	917	925	907	58	2428	684	540	1822	301	75	24.92%	270	57	78.89%	3	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
	_Since Last GM Reset	81	40	24	0	6	6	2	3	264	218	46	41	21	11	0	5	2	0	2	135	107	28	40	19	13	0	1	4	2	1	129	111	18	105	0.648	264	481	745	2	4	98	84	74	12	2786	917	925	907	58	2428	684	540	1822	301	75	24.92%	270	57	78.89%	3	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
	_Vs Conference	46	22	15	0	3	5	0	1	155	131	24	24	12	7	0	3	2	0	0	84	62	22	22	10	8	0	0	3	0	1	71	69	2	56	0.609	155	286	441	1	2	98	84	74	12	1598	917	925	907	58	1422	429	298	1014	183	48	26.23%	149	36	75.84%	1	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529
	_Vs Division	23	11	8	0	2	1	0	1	77	54	23	11	7	4	0	2	0	0	0	40	26	14	12	4	4	0	0	1	0	1	37	28	9	28	0.609	77	138	215	0	1	98	84	74	12	763	917	925	907	58	725	216	184	482	74	23	31.08%	92	13	85.87%	2	1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%	2031	1417	1831	589	1040	529

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
81	105	W1	264	481	745	2786	2428	684	540	1822	2	4

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
81	40	24	6	6	2	3	264	218

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	21	11	5	2	0	2	135	107

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	19	13	1	4	2	1	129	111

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
301	75	24.92%	270	57	78.89%	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
917	925	907	58	98	84	74	12

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1577	2927	53.88%	1441	2735	52.69%	624	1235	50.53%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2031	1417	1831	589	1040	529

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1 - 2025-09-11	7	Springfield Thunderbirds	2	Milwaukee Admirals	3	W	X		BoxScore
3 - 2025-09-13	28	Milwaukee Admirals	7	Toronto Marlies	4	W			BoxScore
4 - 2025-09-14	40	Milwaukee Admirals	4	Springfield Thunderbirds	5	L	X	X	BoxScore
6 - 2025-09-16	50	Coachella Valley Firebirds	3	Milwaukee Admirals	4	W			BoxScore
8 - 2025-09-18	70	Milwaukee Admirals	4	San Diego Gulls	1	W			BoxScore
10 - 2025-09-20	88	Rockford IceHogs	4	Milwaukee Admirals	2	L			BoxScore
13 - 2025-09-23	107	Milwaukee Admirals	4	Chicago Wolves	6	L			BoxScore
15 - 2025-09-25	120	Chicago Wolves	5	Milwaukee Admirals	2	L			BoxScore
17 - 2025-09-27	133	Milwaukee Admirals	1	San Diego Gulls	2	L			BoxScore
19 - 2025-09-29	153	Rochester Americans	1	Milwaukee Admirals	3	W			BoxScore
22 - 2025-10-02	172	Rockford IceHogs	1	Milwaukee Admirals	3	W			BoxScore
24 - 2025-10-04	187	Milwaukee Admirals	5	Abbotsford Canucks	3	W			BoxScore
26 - 2025-10-06	205	Abbotsford Canucks	0	Milwaukee Admirals	4	W			BoxScore
28 - 2025-10-08	222	Milwaukee Admirals	0	Rockford IceHogs	4	L			BoxScore
30 - 2025-10-10	236	Coachella Valley Firebirds	2	Milwaukee Admirals	5	W			BoxScore
33 - 2025-10-13	257	Springfield Thunderbirds	4	Milwaukee Admirals	5	W	X		BoxScore
35 - 2025-10-15	270	Milwaukee Admirals	5	Cleveland Monsters	0	W			BoxScore
37 - 2025-10-17	289	Milwaukee Admirals	3	Chicago Wolves	1	W			BoxScore
38 - 2025-10-18	299	Syracuse Crunch	1	Milwaukee Admirals	4	W			BoxScore
41 - 2025-10-21	321	Coachella Valley Firebirds	2	Milwaukee Admirals	4	W			BoxScore
42 - 2025-10-22	337	Milwaukee Admirals	3	Syracuse Crunch	2	W	X	X	BoxScore
44 - 2025-10-24	350	Milwaukee Admirals	4	Lehigh Valley Phantoms	2	W			BoxScore
46 - 2025-10-26	364	Rochester Americans	4	Milwaukee Admirals	3	L	X		BoxScore
48 - 2025-10-28	384	Chicago Wolves	3	Milwaukee Admirals	2	L			BoxScore
49 - 2025-10-29	393	Milwaukee Admirals	6	Hartford Wolf Pack	1	W			BoxScore
51 - 2025-10-31	415	Milwaukee Admirals	0	Springfield Thunderbirds	2	L			BoxScore
53 - 2025-11-02	431	Henderson Silver Knights	2	Milwaukee Admirals	4	W			BoxScore
55 - 2025-11-04	449	Milwaukee Admirals	6	Henderson Silver Knights	5	W	X	X	BoxScore
57 - 2025-11-06	462	Lehigh Valley Phantoms	5	Milwaukee Admirals	1	L			BoxScore
59 - 2025-11-08	481	Milwaukee Admirals	1	Hershey Bears	4	L			BoxScore
60 - 2025-11-09	490	Bridgeport Islanders	4	Milwaukee Admirals	3	L	X	X	BoxScore
62 - 2025-11-11	513	Hershey Bears	1	Milwaukee Admirals	3	W			BoxScore
64 - 2025-11-13	526	Milwaukee Admirals	3	Toronto Marlies	2	W			BoxScore
66 - 2025-11-15	541	Milwaukee Admirals	1	Rockford IceHogs	2	L			BoxScore
68 - 2025-11-17	555	Ontario Reign	2	Milwaukee Admirals	1	L	X	X	BoxScore
70 - 2025-11-19	576	Milwaukee Admirals	2	Abbotsford Canucks	3	L	X		BoxScore
71 - 2025-11-20	584	Milwaukee Admirals	6	Iowa Wild	2	W			BoxScore
73 - 2025-11-22	600	Laval Rocket	5	Milwaukee Admirals	4	L	X		BoxScore
76 - 2025-11-25	621	San Diego Gulls	4	Milwaukee Admirals	5	W			BoxScore
78 - 2025-11-27	645	Springfield Thunderbirds	0	Milwaukee Admirals	5	W			BoxScore
80 - 2025-11-29	657	Milwaukee Admirals	3	Utica Comets	2	W	X		BoxScore
82 - 2025-12-01	680	Utica Comets	5	Milwaukee Admirals	2	L			BoxScore
85 - 2025-12-04	701	Milwaukee Admirals	5	Tucson Roadrunners	3	W			BoxScore
86 - 2025-12-05	713	Bakersfield Condors	2	Milwaukee Admirals	6	W			BoxScore
89 - 2025-12-08	734	Milwaukee Admirals	1	San Jose Barracuda	2	L			BoxScore
90 - 2025-12-09	744	Belleville Senators	3	Milwaukee Admirals	4	W	X		BoxScore
93 - 2025-12-12	763	Milwaukee Admirals	6	Coachella Valley Firebirds	2	W			BoxScore
94 - 2025-12-13	776	Calgary Wranglers	1	Milwaukee Admirals	2	W	X		BoxScore
97 - 2025-12-16	792	Milwaukee Admirals	4	Rochester Americans	5	L	X		BoxScore
99 - 2025-12-18	808	Tucson Roadrunners	2	Milwaukee Admirals	5	W			BoxScore
100 - 2025-12-19	825	Milwaukee Admirals	4	Grand Rapids Griffins	6	L			BoxScore
102 - 2025-12-21	841	Milwaukee Admirals	5	Laval Rocket	3	W			BoxScore
103 - 2025-12-22	848	Colorado Eagles	3	Milwaukee Admirals	1	L			BoxScore
106 - 2025-12-25	867	Milwaukee Admirals	1	Wilkes-Barre/Scranton Penguins	2	L			BoxScore
107 - 2025-12-26	879	San Jose Barracuda	3	Milwaukee Admirals	1	L			BoxScore
109 - 2025-12-28	901	Wilkes-Barre/Scranton Penguins	2	Milwaukee Admirals	4	W			BoxScore
111 - 2025-12-30	922	Milwaukee Admirals	4	Bakersfield Condors	2	W			BoxScore
113 - 2026-01-01	936	Rockford IceHogs	1	Milwaukee Admirals	4	W			BoxScore
115 - 2026-01-03	949	Milwaukee Admirals	3	Ontario Reign	2	W			BoxScore
118 - 2026-01-06	967	Milwaukee Admirals	4	Providence Bruins	3	W			BoxScore
119 - 2026-01-07	978	Cleveland Monsters	0	Milwaukee Admirals	2	W			BoxScore
121 - 2026-01-09	997	Hartford Wolf Pack	3	Milwaukee Admirals	4	W			BoxScore
124 - 2026-01-12	1017	Milwaukee Admirals	4	Bridgeport Islanders	2	W			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
125 - 2026-01-13	1029	Texas Stars	2	Milwaukee Admirals	4	W			BoxScore
127 - 2026-01-15	1045	Milwaukee Admirals	4	Belleville Senators	3	W			BoxScore
130 - 2026-01-18	1062	Charlotte Checkers	3	Milwaukee Admirals	5	W			BoxScore
132 - 2026-01-20	1084	Milwaukee Admirals	1	San Diego Gulls	2	L	X		BoxScore
133 - 2026-01-21	1094	Milwaukee Admirals	1	Texas Stars	3	L			BoxScore
134 - 2026-01-22	1103	Abbotsford Canucks	5	Milwaukee Admirals	4	L			BoxScore
137 - 2026-01-25	1126	Grand Rapids Griffins	4	Milwaukee Admirals	3	L			BoxScore
139 - 2026-01-27	1142	Milwaukee Admirals	1	Colorado Eagles	4	L			BoxScore
141 - 2026-01-29	1157	Providence Bruins	5	Milwaukee Admirals	3	L			BoxScore
142 - 2026-01-30	1163	Milwaukee Admirals	2	Coachella Valley Firebirds	1	W			BoxScore
144 - 2026-02-01	1188	Providence Bruins	1	Milwaukee Admirals	2	W			BoxScore
146 - 2026-02-03	1204	Milwaukee Admirals	2	Texas Stars	5	L			BoxScore
148 - 2026-02-05	1221	Manitoba Moose	2	Milwaukee Admirals	3	W	X		BoxScore
150 - 2026-02-07	1230	Milwaukee Admirals	5	Charlotte Checkers	1	W			BoxScore
151 - 2026-02-08	1237	Milwaukee Admirals	2	Manitoba Moose	4	L			BoxScore
154 - 2026-02-11	1259	Toronto Marlies	2	Milwaukee Admirals	1	L			BoxScore
157 - 2026-02-14	1280	Milwaukee Admirals	2	Calgary Wranglers	3	L	X		BoxScore
158 - 2026-02-15	1292	Iowa Wild	3	Milwaukee Admirals	5	W			BoxScore
161 - 2026-02-18	1308	Milwaukee Admirals	-	Manitoba Moose	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	77,031	37,890
Attendance PCT	93.94%	92.41%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2803 - 93.43%	40,606$	1,664,862$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
34,667,814$	30,100,068$	30,100,068$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	34,667,814$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	3	185,803$	557,409$

Milwaukee Admirals Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Milwaukee Admirals Goalies Stat Leaders (Regular Season)

Show or Hide Columns

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

Milwaukee Admirals Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Milwaukee Admirals Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Milwaukee Admirals Goalies Stat Leaders (Play-Off)

Show or Hide Columns

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

	Milwaukee Admirals
	GP: 81 \| W: 48 \| L: 24 \| OTL: 9 \| P: 105 GF: 264 \| GA: 218 \| PP%: 24.92% \| PK%: 78.89% GM : Yann \| Morale : 50 \| Team Overall : 62 Next Games #1308 vs Manitoba Moose