Nashville Predators
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Milwaukee Admirals
0-0-0, 0pts

2026-10-03

Rockford IceHogs
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Grand Rapids Griffins
0-0-0, 0pts

2026-10-10

Milwaukee Admirals
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Colorado Eagles
0-0-0, 0pts

2026-10-16

Milwaukee Admirals
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Team Info
	General Manager	Eriq Christiansson
	Division	Central
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	10
	Farm Team	13
	Contract Limit	23 / 50
	Prospects	38
Team History
	This Season	0-0-0 (0PTS)
	History	102-48-16 (0.614%)
	Playoff Appearances	2
	Playoff Record (W-L)	27 - 11 (0.711%)
	Stanley Cup	1

Show or Hide Columns

Filter Tips

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

#	Player Name	#	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	Scott Sabourin	0			X		100.00	91	84	83	66	70	57	66	62	45	73	63	61	53	64	55	0	46	61	0	33	1	850,000$
2	Joakim Kemell	0			X		100.00	79	57	95	62	62	62	78	62	45	69	62	57	54	44	44	0	50	59	0	21	1	886,667$
3	Hayden Hodgson	0			X		100.00	84	81	78	55	78	56	78	57	45	54	55	55	49	58	52	0	47	56	0	29	1	775,000$
4	Kalan Lind (R)	0		X	X		100.00	71	67	73	57	58	50	67	59	55	54	57	56	52	43	43	0	50	53	0	20	1	775,000$
5	Austin Roest (R)	0	X				100.00	62	53	87	52	55	50	75	51	75	55	51	53	45	44	44	0	50	51	0	21	1	775,000$
6	Ryan Ufko	0				X	100.00	69	37	91	74	65	63	80	66	25	75	61	69	53	45	45	0	50	63	0	22	1	942,500$
7	Steven Santini	0				X	100.00	69	40	91	57	75	56	71	52	25	54	47	73	42	60	53	0	42	59	0	30	1	775,000$
8	Cal Foote (R)	0				X	100.00	61	33	89	59	58	50	78	57	25	55	51	71	48	52	49	0	50	57	0	26	1	775,000$
9	Tanner Molendyk (R)	0				X	100.00	60	34	93	59	57	50	84	57	25	55	50	64	47	43	43	0	50	55	0	20	1	775,000$
Scratches
1	Spencer Stastney	0				X	100.00	63	37	92	65	76	67	86	62	25	61	57	82	39	50	45	0	50	64	0	25	0	0$

	TEAM AVERAGE						100.00	71	52	87	61	65	56	76	59	39	61	55	64	48	50	47	0	49	58

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
Scratches

	TEAM AVERAGE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

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

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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 Remaining	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
Austin Roest	Milwaukee Admirals (NAS)	C	21	2004-01-22	CAN	Yes	166 Lbs	5 ft10	No	No	Draft		No	No	1	2026-06-12	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Cal Foote	Milwaukee Admirals (NAS)	D	26	1998-12-13	CAN	Yes	170 Lbs	6 ft1	No	No	Draft		No	No	1	2026-06-12	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Hayden Hodgson	Milwaukee Admirals (NAS)	RW	29	1996-03-02	CAN	No	208 Lbs	6 ft2	No	No	Trade	2026-08-14	Yes	Yes	1	2025-07-11	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Joakim Kemell	Milwaukee Admirals (NAS)	RW	21	2004-04-27	FIN	No	182 Lbs	5 ft11	No	No	Assign Manually		No	No	1	2024-07-07	False	False	Pro & Farm	886,667$	886,667$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kalan Lind	Milwaukee Admirals (NAS)	LW/RW	20	2005-01-25	CAN	Yes	163 Lbs	6 ft1	No	No	Draft		No	No	1	2026-06-12	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ryan Ufko	Milwaukee Admirals (NAS)	D	22	2003-05-07	USA	No	174 Lbs	6 ft0	No	No	Draft		No	No	1	2026-07-03	False	False	Pro & Farm	942,500$	942,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Scott Sabourin	Milwaukee Admirals (NAS)	RW	33	1992-07-30	CAN	No	208 Lbs	6 ft3	No	No	Trade	2026-08-09	Yes	Yes	1	2026-06-12	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Spencer Stastney	Milwaukee Admirals (NAS)	D	25	2000-01-04	USA	No	184 Lbs	6 ft0	No	No	Assign Manually		Yes	Yes	0	2024-07-25	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Steven Santini	Milwaukee Admirals (NAS)	D	30	1995-03-07	USA	No	209 Lbs	6 ft2	No	No	Trade	2026-08-14	Yes	Yes	1	2025-07-27	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tanner Molendyk	Milwaukee Admirals (NAS)	D	20	2005-02-03	CAN	Yes	174 Lbs	5 ft11	No	No	Draft		No	No	1	2026-06-12	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
10	24.70	184 Lbs	6 ft1	0.90	732,917$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	0	1	4
2				30	0	2	3
3				20	0	2	3
4				15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			35	0	4	1
2			30	0	4	1
3			20	0	5	0
4			15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	0	2	3

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	0	2	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	0	2	3
2			40	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , , , , Joakim Kemell,

Custom OT Lines Defensemen
, , , ,

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	RI
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0%	0	0	0%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0%	0	0	0%	0	0	0%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

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
5 - 2026-10-03	18	Milwaukee Admirals	-	Rockford IceHogs	-
12 - 2026-10-10	44	Grand Rapids Griffins	-	Milwaukee Admirals	-
18 - 2026-10-16	68	Colorado Eagles	-	Milwaukee Admirals	-
19 - 2026-10-17	79	Colorado Eagles	-	Milwaukee Admirals	-
23 - 2026-10-21	102	Milwaukee Admirals	-	Iowa Wild	-
25 - 2026-10-23	108	Chicago Wolfs	-	Milwaukee Admirals	-
26 - 2026-10-24	124	Milwaukee Admirals	-	Chicago Wolfs	-
30 - 2026-10-28	140	Manitoba Moose	-	Milwaukee Admirals	-
32 - 2026-10-30	153	Milwaukee Admirals	-	Cleveland Monsters	-
33 - 2026-10-31	159	Milwaukee Admirals	-	Cleveland Monsters	-
39 - 2026-11-06	188	Milwaukee Admirals	-	Grand Rapids Griffins	-
40 - 2026-11-07	203	Iowa Wild	-	Milwaukee Admirals	-
43 - 2026-11-10	215	Iowa Wild	-	Milwaukee Admirals	-
46 - 2026-11-13	232	Milwaukee Admirals	-	Rockford IceHogs	-
47 - 2026-11-14	241	Chicago Wolfs	-	Milwaukee Admirals	-
51 - 2026-11-18	269	Milwaukee Admirals	-	Wilkes-Barre/Scranton Penguins	-
54 - 2026-11-21	290	Milwaukee Admirals	-	Hartford Wolf Pack	-
55 - 2026-11-22	299	Milwaukee Admirals	-	Providence Bruins	-
58 - 2026-11-25	310	Milwaukee Admirals	-	Rockford IceHogs	-
60 - 2026-11-27	322	Milwaukee Admirals	-	Chicago Wolfs	-
61 - 2026-11-28	337	Rockford IceHogs	-	Milwaukee Admirals	-
64 - 2026-12-01	352	Texas Stars	-	Milwaukee Admirals	-
68 - 2026-12-05	378	Manitoba Moose	-	Milwaukee Admirals	-
69 - 2026-12-06	389	Milwaukee Admirals	-	Rockford IceHogs	-
72 - 2026-12-09	398	Milwaukee Admirals	-	Iowa Wild	-
74 - 2026-12-11	410	Rockford IceHogs	-	Milwaukee Admirals	-
76 - 2026-12-13	433	Milwaukee Admirals	-	Chicago Wolfs	-
79 - 2026-12-16	444	Milwaukee Admirals	-	Chicago Wolfs	-
81 - 2026-12-18	455	Milwaukee Admirals	-	Grand Rapids Griffins	-
82 - 2026-12-19	467	Milwaukee Admirals	-	Grand Rapids Griffins	-
91 - 2026-12-28	497	Rockford IceHogs	-	Milwaukee Admirals	-
93 - 2026-12-30	506	Chicago Wolfs	-	Milwaukee Admirals	-
94 - 2026-12-31	516	Milwaukee Admirals	-	Grand Rapids Griffins	-
96 - 2027-01-02	527	Grand Rapids Griffins	-	Milwaukee Admirals	-
102 - 2027-01-08	562	Milwaukee Admirals	-	Ontario Reign	-
103 - 2027-01-09	573	Milwaukee Admirals	-	Ontario Reign	-
106 - 2027-01-12	588	Milwaukee Admirals	-	Colorado Eagles	-
107 - 2027-01-13	595	Milwaukee Admirals	-	Colorado Eagles	-
110 - 2027-01-16	617	Milwaukee Admirals	-	Texas Stars	-
111 - 2027-01-17	629	Milwaukee Admirals	-	Texas Stars	-
116 - 2027-01-22	654	Milwaukee Admirals	-	Rockford IceHogs	-
117 - 2027-01-23	666	Texas Stars	-	Milwaukee Admirals	-
120 - 2027-01-26	680	Texas Stars	-	Milwaukee Admirals	-
123 - 2027-01-29	693	Milwaukee Admirals	-	Manitoba Moose	-
125 - 2027-01-31	714	Milwaukee Admirals	-	Manitoba Moose	-
127 - 2027-02-02	719	Hartford Wolf Pack	-	Milwaukee Admirals	-
130 - 2027-02-05	734	Iowa Wild	-	Milwaukee Admirals	-
137 - 2027-02-12	766	Ontario Reign	-	Milwaukee Admirals	-
138 - 2027-02-13	780	Ontario Reign	-	Milwaukee Admirals	-
143 - 2027-02-18	802	Milwaukee Admirals	-	Manitoba Moose	-
145 - 2027-02-20	821	Milwaukee Admirals	-	Manitoba Moose	-
149 - 2027-02-24	852	Wilkes-Barre/Scranton Penguins	-	Milwaukee Admirals	-
151 - 2027-02-26	857	Manitoba Moose	-	Milwaukee Admirals	-
152 - 2027-02-27	868	Manitoba Moose	-	Milwaukee Admirals	-
Trade Deadline --- Trades can’t be done after this day is simulated!
158 - 2027-03-05	900	Milwaukee Admirals	-	Texas Stars	-
159 - 2027-03-06	914	Milwaukee Admirals	-	Texas Stars	-
162 - 2027-03-09	926	Chicago Wolfs	-	Milwaukee Admirals	-
165 - 2027-03-12	942	Cleveland Monsters	-	Milwaukee Admirals	-
166 - 2027-03-13	956	Cleveland Monsters	-	Milwaukee Admirals	-
169 - 2027-03-16	974	Grand Rapids Griffins	-	Milwaukee Admirals	-
172 - 2027-03-19	987	Chicago Wolfs	-	Milwaukee Admirals	-
173 - 2027-03-20	1003	Milwaukee Admirals	-	Grand Rapids Griffins	-
174 - 2027-03-21	1016	Rockford IceHogs	-	Milwaukee Admirals	-
177 - 2027-03-24	1024	Milwaukee Admirals	-	Iowa Wild	-
179 - 2027-03-26	1037	Providence Bruins	-	Milwaukee Admirals	-
180 - 2027-03-27	1046	Grand Rapids Griffins	-	Milwaukee Admirals	-
186 - 2027-04-02	1078	Milwaukee Admirals	-	Iowa Wild	-
187 - 2027-04-03	1091	Iowa Wild	-	Milwaukee Admirals	-
188 - 2027-04-04	1101	Grand Rapids Griffins	-	Milwaukee Admirals	-
191 - 2027-04-07	1117	Texas Stars	-	Milwaukee Admirals	-
193 - 2027-04-09	1129	Rockford IceHogs	-	Milwaukee Admirals	-
195 - 2027-04-11	1152	Milwaukee Admirals	-	Chicago Wolfs	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0%	0%
Attendance PCT	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
36	0 - 0%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	732,917$	732,917$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
3,739$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	196	3,739$	732,844$

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
1	Trey Fix-Wolansky	82	56	69	125	43	4	145	90	339	16.52%	25	1481	18.07	16	27	43	32	0	0	0	0	6	5	37.65%	2	1.69	4	7
2	Fedor Svechkov	129	36	89	125	46	27	138	253	274	13.14%	40	2505	19.43	7	38	45	37	1	1	2	6	3	1	52.73%	0	1.00	1	3
3	Vinnie Hinostroza	82	64	59	123	41	6	107	119	316	20.25%	43	1548	18.88	22	19	41	36	1	1	2	3	11	4	34.65%	3	1.59	1	7
4	Spencer Stastney	164	18	99	117	-4	12	137	275	300	6.00%	237	3958	24.14	8	20	28	66	0	1	1	3	3	0	100.00%	0	0.59	0	0
5	Joakim Kemell	164	40	44	84	-7	6	109	130	348	11.49%	43	2270	13.84	4	5	9	13	0	0	0	0	9	2	31.67%	0	0.74	3	5

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
1	Matthew Murray	82	56	14	7	0.902	2.87	4754	12	0	227	2305	1299	4	1	0.750	20
2	Spencer Martin	82	43	32	7	0.907	2.62	4945	2	3	216	2320	0	2	4	0.750	28
3	Yaroslav Askarov	5	2	2	0	0.882	3.22	149	0	0	8	68	37	0	1	0.714	7
4	Julian Junca	2	1	0	0	0.923	2.07	58	0	0	2	26	20	0	0	1.000	3
5	Kaapo Kahkonen	1	0	0	0	0.929	2.14	28	0	0	1	14	0	0	0	0	0

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
Regular Season
2024	82	48	16	0	6	5	5	2	348	241	107	41	24	7	0	4	4	2	0	174	125	49	41	24	9	0	2	1	3	2	174	116	58	125	348	564	912	2	0	73	130	134	16	2749	779	980	974	46	2401	868	375	1891	237	73	30.80%	88	25	71.59%	3	847	1610	52.61%	724	1446	50.07%	625	1265	49.41%	1704	919	1640	790	1623	805
2025	82	31	32	0	6	5	6	2	227	223	4	41	18	13	0	4	3	2	1	122	107	15	41	13	19	0	2	2	4	1	105	116	-11	93	227	391	618	4	3	80	74	61	18	2424	824	789	772	68	2338	709	333	1702	172	41	23.84%	150	33	78.00%	2	1182	2604	45.39%	1187	2698	44.00%	570	1294	44.05%	1958	1332	1893	621	1128	566
Total Regular Season	164	79	48	0	12	10	11	4	575	464	111	82	42	20	0	8	7	4	1	296	232	64	82	37	28	0	4	3	7	3	279	232	47	218	575	955	1530	6	3	153	204	195	34	5173	1603	1769	1746	114	4739	1577	708	3593	409	114	27.87%	238	58	75.63%	5	2029	4214	48.15%	1911	4144	46.11%	1195	2559	46.70%	3662	2252	3534	1411	2752	1371
Playoff
2024	19	11	8	0	0	0	0	0	77	63	14	10	6	4	0	0	0	0	0	42	32	10	9	5	4	0	0	0	0	0	35	31	4	22	77	129	206	1	0	11	33	32	1	665	172	244	247	2	565	197	63	431	59	16	27.12%	24	4	83.33%	1	174	385	45.19%	183	350	52.29%	160	298	53.69%	395	215	385	177	361	182
2025	19	16	3	0	0	0	0	0	62	37	25	9	8	1	0	0	0	0	0	28	19	9	10	8	2	0	0	0	0	0	34	18	16	32	62	115	177	0	1	22	21	15	4	659	206	199	221	33	520	158	116	349	49	9	18.37%	44	4	90.91%	0	325	688	47.24%	292	623	46.87%	122	292	41.78%	463	316	457	150	261	131
Total Playoff	38	27	11	0	0	0	0	0	139	100	39	19	14	5	0	0	0	0	0	70	51	19	19	13	6	0	0	0	0	0	69	49	20	54	139	244	383	1	1	33	54	47	5	1324	378	443	468	35	1085	355	179	780	108	25	23.15%	68	8	88.24%	1	499	1073	46.51%	475	973	48.82%	282	590	47.80%	858	531	842	328	623	313

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	PKA	PKP	PKS	GW	FO%	HT	P/20
1	Fedor Svechkov	38	15	23	38	10	0	24	89	95	15.79%	9	808	21.27	2	9	11	11	0	0	1	5	49.75%	0	0.94
2	Spencer Stastney	38	3	31	34	10	2	33	52	73	4.11%	58	936	24.65	0	7	7	17	0	0	2	1	0%	0	0.73
3	Trey Fix-Wolansky	19	11	17	28	4	0	35	17	84	13.10%	11	341	17.96	2	4	6	9	0	0	0	2	42.86%	0	1.64
4	Vinnie Hinostroza	19	18	9	27	4	2	20	34	71	25.35%	11	364	19.18	7	2	9	9	0	0	0	1	53.85%	0	1.48
5	Kieffer Bellows	19	14	11	25	2	2	20	28	75	18.67%	5	337	17.77	2	3	5	5	1	1	0	2	41.18%	1	1.48

Milwaukee Admirals Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	EG
1	Spencer Martin	19	16	3	0	0.929	1.89	1114	1	35	496	0	0	0
2	Matthew Murray	19	11	7	1	0.892	3.20	1126	0	60	555	297	1	1
3	Julian Junca	1	0	0	0	0.778	8.57	14	0	2	9	6	0	0
4	Kaapo Kahkonen	2	0	0	0	0.917	1.77	68	0	2	24	0	0	0

	Milwaukee Admirals
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Eriq Christiansson \| Morale : 50 \| Team Overall : 58 Next Games #18 vs Rockford IceHogs