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

Game Center
	Hershey Bears 2-11-0, 4pts	5	Box score	4	Milwaukee Admirals 1-13-0, 2pts

Team Stats
L1	Streak	L12
1-8-0	Home Record	1-8-0
1-3-0	Home Record	0-5-0
2-8-0	Last 10 Games	0-10-0
4.00	Goals Per Game	1.50
9.85	Goals Against Per Game	7.21
30.77%	Power Play Percentage	0.00%
46.43%	Penalty Kill Percentage	50.00%

Syracuse Crunch
10-3-0, 20pts

Box score

Milwaukee Admirals
1-13-0, 2pts

Team Stats
W3	Streak	L12
6-0-0	Home Record	1-8-0
4-3-0	Home Record	0-5-0
8-2-0	Last 10 Games	0-10-0
5.00	Goals Per Game	1.50
2.77	Goals Against Per Game	7.21
25.00%	Power Play Percentage	0.00%
73.91%	Penalty Kill Percentage	50.00%

Chicago Wolves
14-1-1, 29pts

2026-11-03

Milwaukee Admirals
1-13-0, 2pts

Team Stats
W3	Streak	L12
7-0-0	Home Record	1-8-0
7-1-1	Away Record	0-5-0
8-1-1	Last 10 Games	0-10-0
6.81	Goals Per Game	1.50
2.75	Goals Against Per Game	1.50
38.10%	Power Play Percentage	0.00%
84.85%	Penalty Kill Percentage	50.00%

Milwaukee Admirals
1-13-0, 2pts

2026-11-05

Colorado Eagles
11-4-0, 22pts

Team Stats
L12	Streak	W2
1-8-0	Home Record	5-3-0
0-5-0	Away Record	6-1-0
0-10-0	Last 10 Games	8-2-0
1.50	Goals Per Game	6.07
7.21	Goals Against Per Game	6.07
0.00%	Power Play Percentage	27.50%
50.00%	Penalty Kill Percentage	87.80%

Springfield Thunderbirds
10-4-0, 20pts

2026-11-07

Milwaukee Admirals
1-13-0, 2pts

Team Stats
W4	Streak	L12
5-2-0	Home Record	1-8-0
5-2-0	Away Record	0-5-0
6-4-0	Last 10 Games	0-10-0
5.14	Goals Per Game	1.50
2.50	Goals Against Per Game	1.50
33.33%	Power Play Percentage	0.00%
76.00%	Penalty Kill Percentage	50.00%

Team Leaders
	Goals Marek Alscher 7	Assists Elias D. Pettersson 9

	Points Elias D. Pettersson 11	Plus/Minus Roland McKeown -14

	Wins Damian Clara 1	Save Percentage Damian Clara 0.901

Team Stats
Goals For 21 1.50 GFG	Shots For 247 17.64 Avg	Power Play Percentage 0.0% 0 GF	Offensive Zone Start 20.1%
Goals Against 101 7.21 GAA	Shots Against 1013 72.36 Avg	Penalty Kill Percentage 50.0%% 4 GA	Defensive Zone Start 60.1%

Team Info
	General Manager
	Division	Centrale
	Conference	Ouest
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	15
	Farm Team	20
	Contract Limit	35 / 250
	Prospects	18

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	Jared Wright (R)			X		100.00	65	37	94	67	73	83	89	58	53	61	55	60	56	64	66	48	40	63	0	22	2	925,000$
2	Tyler Angle			X		100.00	55	37	88	59	64	75	71	58	62	60	55	54	56	66	68	47	40	60	0	25	1	775,000$
3	Carson Bantle		X			100.00	76	43	70	55	85	70	73	54	50	52	53	56	51	64	66	57	40	59	0	23	1	750,000$
4	Daylan Kuefler		X			100.00	70	51	73	55	79	83	75	54	57	56	53	58	52	64	66	48	40	59	0	23	1	840,000$
5	Jalen Luypen	X				100.00	61	35	93	58	61	75	74	55	59	53	57	52	56	64	66	48	40	59	0	23	1	859,167$
6	Ryan Shea				X	100.00	62	35	91	67	77	89	82	63	30	75	62	84	51	69	71	47	40	68	0	28	1	900,000$
7	Jaycob Megna				X	100.00	81	72	87	60	95	80	86	57	30	54	52	69	46	74	76	26	40	64	0	32	2	800,000$
8	Elias D. Pettersson				X	100.00	74	39	78	65	77	82	86	59	30	63	56	66	51	62	64	65	40	63	0	21	3	918,333$
9	Declan Carlile (R)				X	100.00	71	44	72	65	81	83	82	58	30	61	56	64	49	66	68	42	40	63	0	25	1	775,000$
10	Roland McKeown				X	100.00	67	40	80	62	76	73	86	58	30	60	57	56	48	70	72	57	40	62	0	29	1	762,500$
11	Marek Alscher (R)				X	100.00	76	41	80	62	85	83	80	58	30	60	53	64	47	62	65	63	40	62	0	21	2	918,333$
12	Ole Bjorgvik-Holm (R)				X	100.00	69	40	75	55	78	64	74	54	30	53	52	56	45	64	66	54	40	59	0	23	1	750,000$
Scratches

	TEAM AVERAGE					100.00	69	43	82	61	78	78	80	57	41	59	55	62	51	66	68	50	40	62

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	Trent Miner (R)	100.00	77	86	82	74	76	75	77	76	75	77	76	65	73	57	40	68	0	24	2	775,000$
2	Amir Miftakhov	100.00	71	76	73	72	70	69	71	70	69	71	70	66	75	47	40	64	0	25	1	775,000$
3	Damian Clara	100.00	62	72	69	95	61	60	62	61	60	62	61	63	65	68	40	59	0	20	2	950,000$
Scratches

	TEAM AVERAGE	100.00	70	78	75	80	69	68	70	69	68	70	69	65	71	57	40	64

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	PPS	PPM	GW	FO%	FOT	P/20	S1	S2	S3
1	Elias D. Pettersson	Milwaukee Admirals (NSH)	D	14	2	9	11	-22	2	37	58	43	12	36	4.65%	38	349	25.00	0	0	0	33.05%	236	0.63	0	1	0
2	Marek Alscher	Milwaukee Admirals (NSH)	D	14	7	4	11	-18	0	32	40	37	8	28	18.92%	21	311	22.26	0	0	1	47.62%	21	0.71	1	0	0
3	Roland McKeown	Milwaukee Admirals (NSH)	D	14	2	8	10	-14	10	37	20	25	7	26	8.00%	47	300	21.48	4	3	0	0%	1	0.67	0	0	1
Team Total or Average				42	11	21	32	-54	12	106	118	105	27	90	10.48%	106	962	22.91	4	3	1	34.11%	258	0.67	1	1	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

#	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
1	Damian Clara	Milwaukee Admirals (NSH)	14	1	13	0	0.901	6.96	759	2	0	88	887	0	0	0	0	0	14	0	0	2	0
Team Total or Average			14	1	13	0	0.901	6.96	759	2	0	88	887	0	0	0		0	14	0	0	2	0

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
Amir Miftakhov	Milwaukee Admirals (NSH)	G	25	2000-04-26	RUS	No	172 Lbs	6 ft0	No	No	Prospect		No	Yes	1	2026-08-03	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Carson Bantle	Milwaukee Admirals (NSH)	LW	23	2002-01-22	USA	No	194 Lbs	6 ft4	No	No	Assign Manually	2026-07-03	No	No	1	2026-07-03	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Damian Clara	Milwaukee Admirals (NSH)	G	20	2005-01-13	ITA	No	214 Lbs	6 ft6	No	No	Draft		No	No	2	2025-07-16	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Daylan Kuefler	Milwaukee Admirals (NSH)	LW	23	2002-02-10	CAN	No	195 Lbs	6 ft2	No	No	Trade	2026-07-03	No	No	1	2024-09-15	False	False	Pro & Farm	840,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Declan Carlile	Milwaukee Admirals (NSH)	D	25	2000-05-18	USA	Yes	190 Lbs	6 ft3	No	No	Assign Manually		No	Yes	1	2025-07-16	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Elias D. Pettersson	Milwaukee Admirals (NSH)	D	21	2004-02-16	SWE	No	185 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2025-07-16	False	False	Pro & Farm	918,333$	0$	0$	No	918,333$	750,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jalen Luypen	Milwaukee Admirals (NSH)	C	23	2002-06-28	CAN	No	155 Lbs	5 ft10	No	No	Assign Manually	2026-07-03	No	No	1	2026-07-03	False	False	Pro & Farm	859,167$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jared Wright	Milwaukee Admirals (NSH)	RW	22	2002-11-22	USA	Yes	178 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2026-07-03	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jaycob Megna	Milwaukee Admirals (NSH)	D	32	1992-12-10	USA	No	214 Lbs	6 ft6	No	No	Assign Manually	2025-01-20	No	Yes	2	2026-07-03	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Marek Alscher	Milwaukee Admirals (NSH)	D	21	2004-04-07	CZE	Yes	206 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2025-07-16	False	False	Pro & Farm	918,333$	0$	0$	No	918,333$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ole Bjorgvik-Holm	Milwaukee Admirals (NSH)	D	23	2002-05-23	NOR	Yes	190 Lbs	6 ft2	No	No	Draft		No	No	1	2026-08-03	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Roland McKeown	Milwaukee Admirals (NSH)	D	29	1996-01-20	CAN	No	195 Lbs	6 ft1	No	No	Assign Manually		No	Yes	1	2026-07-03	False	False	Pro & Farm	762,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Shea	Milwaukee Admirals (NSH)	D	28	1997-02-11	USA	No	200 Lbs	6 ft1	No	No	Trade	2026-08-03	No	Yes	1	2026-07-03	False	False	Pro & Farm	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Trent Miner	Milwaukee Admirals (NSH)	G	24	2001-02-05	CAN	Yes	185 Lbs	6 ft1	No	No	Assign Manually	2026-06-14	No	Yes	2	2026-07-03	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Tyler Angle	Milwaukee Admirals (NSH)	RW	25	2000-09-30	CAN	No	166 Lbs	5 ft10	No	No	Assign Manually	2026-07-03	No	Yes	1	2026-07-03	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
15	24.27	189 Lbs	6 ft2	1.47	831,556$

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

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			35	1	2	2
2		Roland McKeown	35	1	2	2
3	Elias D. Pettersson	Marek Alscher	30	1	2	2
4			0	1	2	2

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

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2		Roland McKeown	40	1	2	2

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		Roland McKeown	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		Roland McKeown	40	1	2	2

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

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2		Roland McKeown	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
Elias D. Pettersson, Marek Alscher,	Elias D. Pettersson	Marek Alscher,

Penalty Shots
, , , ,

Goalie
#1 : Damian Clara, #2 :

Custom OT Lines Forwards
, , , , , , , , ,

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
1	Belleville Senators	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	1	2	3	0	0	9	6	6	0	11	71	98	78	0	78	21	0	15	3	0	0.00%	0	0	0%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
2	Bridgeport Islanders	1	0	1	0	0	0	0	0	0	6	-6	1	0	1	0	0	0	0	0	0	6	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	9	6	6	0	9	71	98	78	0	70	30	0	15	3	0	0.00%	0	0	0%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
3	Colorado Eagles	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	9	6	6	0	16	71	98	78	0	70	19	2	19	1	0	0.00%	1	1	0.00%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
4	Henderson Silver Knights	1	0	1	0	0	0	0	0	0	9	-9	1	0	1	0	0	0	0	0	0	9	-9	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	9	6	6	0	9	71	98	78	0	74	27	2	15	1	0	0.00%	1	1	0.00%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
5	Hershey Bears	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	9	6	6	0	30	71	98	78	0	70	20	4	17	2	0	0.00%	2	1	50.00%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
6	Iowa Wild	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	9	6	6	0	9	71	98	78	0	79	17	2	14	0	0	0%	1	0	100.00%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
7	Laval Rocket	1	0	1	0	0	0	0	0	1	11	-10	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	11	-10	0	0.000	1	2	3	0	0	9	6	6	0	24	71	98	78	0	70	23	0	10	3	0	0.00%	0	0	0%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
8	Providence Bruins	1	0	1	0	0	0	0	0	0	11	-11	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	0	0	0	0	0	9	6	6	0	16	71	98	78	0	74	23	0	16	6	0	0.00%	0	0	0%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
9	San Jose Barracuda	1	0	1	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	1	8	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	9	6	6	0	10	71	98	78	0	78	22	2	8	5	0	0.00%	1	1	0.00%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
10	Springfield Thunderbirds	1	0	1	0	0	0	0	0	1	12	-11	1	0	1	0	0	0	0	0	1	12	-11	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	9	6	6	0	9	71	98	78	0	90	29	2	11	3	0	0.00%	1	0	100.00%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
11	Syracuse Crunch	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	9	6	6	0	11	71	98	78	0	72	19	0	16	2	0	0.00%	0	0	0%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
12	Texas Stars	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	9	6	6	0	60	71	98	78	0	46	19	0	19	1	0	0.00%	0	0	0%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
13	Toronto Marlies	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	9	6	6	0	19	71	98	78	0	63	21	2	8	6	0	0.00%	1	0	100.00%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
14	Wilkes-Barre Scranton Penguins	1	0	1	0	0	0	0	0	1	9	-8	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	9	-8	0	0.000	1	2	3	0	0	9	6	6	0	14	71	98	78	0	79	19	0	14	3	0	0.00%	0	0	0%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
	Total	14	1	13	0	0	0	0	0	21	101	-80	9	1	8	0	0	0	0	0	17	60	-43	5	0	5	0	0	0	0	0	4	41	-37	2	0.071	21	40	61	0	0	9	6	6	0	247	71	98	78	0	1013	309	16	197	39	0	0.00%	8	4	50.00%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
	_Since Last GM Reset	14	1	13	0	0	0	0	0	21	101	-80	9	1	8	0	0	0	0	0	17	60	-43	5	0	5	0	0	0	0	0	4	41	-37	2	0.071	21	40	61	0	0	9	6	6	0	247	71	98	78	0	1013	309	16	197	39	0	0.00%	8	4	50.00%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
	_Vs Conference	5	1	4	0	0	0	0	0	11	31	-20	5	1	4	0	0	0	0	0	11	31	-20	0	0	0	0	0	0	0	0	0	0	0	2	0.200	11	20	31	0	0	9	6	6	0	104	71	98	78	0	347	104	8	75	8	0	0.00%	4	3	25.00%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51
	_Vs Division	2	1	1	0	0	0	0	0	1	17	-16	2	1	1	0	0	0	0	0	1	17	-16	0	0	0	0	0	0	0	0	0	0	0	2	0.500	1	1	2	0	0	9	6	6	0	19	71	98	78	0	152	49	4	23	6	0	0.00%	2	2	0.00%	0	30	246	12.20%	130	735	17.69%	40	241	16.60%	174	118	520	99	144	51

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
14	2	L12	21	40	61	247	1013	309	16	197	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	1	13	0	0	0	0	21	101

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	1	8	0	0	0	0	17	60

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	0	5	0	0	0	0	4	41

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	10	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
39	0	0.00%	8	4	50.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
71	98	78	0	9	6	6	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
30	246	12.20%	130	735	17.69%	40	241	16.60%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
174	118	520	99	144	51

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	Link
3 - 2026-10-01	14	Iowa Wild	5	Milwaukee Admirals	1	L	Box score
5 - 2026-10-03	22	Texas Stars	2	Milwaukee Admirals	7	W	Box score
8 - 2026-10-06	51	Milwaukee Admirals	1	Toronto Marlies	4	L	Box score
10 - 2026-10-08	61	Milwaukee Admirals	1	Laval Rocket	11	L	Box score
12 - 2026-10-10	71	Milwaukee Admirals	1	Belleville Senators	6	L	Box score
15 - 2026-10-13	91	Henderson Silver Knights	9	Milwaukee Admirals	0	L	Box score
17 - 2026-10-15	112	San Jose Barracuda	8	Milwaukee Admirals	1	L	Box score
19 - 2026-10-17	128	Springfield Thunderbirds	12	Milwaukee Admirals	1	L	Box score
24 - 2026-10-22	157	Milwaukee Admirals	0	Providence Bruins	11	L	Box score
26 - 2026-10-24	179	Milwaukee Admirals	1	Wilkes-Barre Scranton Penguins	9	L	Box score
27 - 2026-10-25	181	Colorado Eagles	7	Milwaukee Admirals	2	L	Box score
29 - 2026-10-27	190	Bridgeport Islanders	6	Milwaukee Admirals	0	L	Box score
31 - 2026-10-29	203	Hershey Bears	5	Milwaukee Admirals	4	L	Box score
33 - 2026-10-31	220	Syracuse Crunch	6	Milwaukee Admirals	1	L	Box score
36 - 2026-11-03	237	Chicago Wolves	-	Milwaukee Admirals	-
38 - 2026-11-05	251	Milwaukee Admirals	-	Colorado Eagles	-
40 - 2026-11-07	270	Springfield Thunderbirds	-	Milwaukee Admirals	-
43 - 2026-11-10	288	Milwaukee Admirals	-	Ontario Reign	-
44 - 2026-11-11	297	Milwaukee Admirals	-	San Diego Gulls	-
46 - 2026-11-13	310	Milwaukee Admirals	-	Henderson Silver Knights	-
48 - 2026-11-15	330	Milwaukee Admirals	-	San Jose Barracuda	-
50 - 2026-11-17	343	Milwaukee Admirals	-	Iowa Wild	-
53 - 2026-11-20	370	Wilkes-Barre Scranton Penguins	-	Milwaukee Admirals	-
57 - 2026-11-24	398	Milwaukee Admirals	-	Texas Stars	-
58 - 2026-11-25	411	Tucson Roadrunners	-	Milwaukee Admirals	-
59 - 2026-11-26	416	Milwaukee Admirals	-	Grand Rapids Griffins	-
61 - 2026-11-28	435	Belleville Senators	-	Milwaukee Admirals	-
64 - 2026-12-01	450	Rockford IceHogs	-	Milwaukee Admirals	-
66 - 2026-12-03	464	Cleveland Monsters	-	Milwaukee Admirals	-
67 - 2026-12-04	477	Milwaukee Admirals	-	Springfield Thunderbirds	-
69 - 2026-12-06	492	Milwaukee Admirals	-	Calgary Wranglers	-
71 - 2026-12-08	506	Milwaukee Admirals	-	Abbotsford Canucks	-
73 - 2026-12-10	516	Milwaukee Admirals	-	Coachella Firebirds	-
76 - 2026-12-13	546	Coachella Firebirds	-	Milwaukee Admirals	-
79 - 2026-12-16	564	Milwaukee Admirals	-	Hartford Wolf Pack	-
81 - 2026-12-18	584	Milwaukee Admirals	-	Utica Comets	-
83 - 2026-12-20	596	Manitoba Moose	-	Milwaukee Admirals	-
84 - 2026-12-21	601	Grand Rapids Griffins	-	Milwaukee Admirals	-
86 - 2026-12-23	620	Milwaukee Admirals	-	Charlotte Checkers	-
87 - 2026-12-24	626	Milwaukee Admirals	-	Syracuse Crunch	-
90 - 2026-12-27	650	Charlotte Checkers	-	Milwaukee Admirals	-
91 - 2026-12-28	664	Milwaukee Admirals	-	Chicago Wolves	-
94 - 2026-12-31	686	Bakersfield Condors	-	Milwaukee Admirals	-
96 - 2027-01-02	698	Milwaukee Admirals	-	Manitoba Moose	-
98 - 2027-01-04	709	Milwaukee Admirals	-	Iowa Wild	-
99 - 2027-01-05	722	Milwaukee Admirals	-	Colorado Eagles	-
101 - 2027-01-07	732	Lehigh Valley Phantoms	-	Milwaukee Admirals	-
103 - 2027-01-09	750	Laval Rocket	-	Milwaukee Admirals	-
105 - 2027-01-11	762	Milwaukee Admirals	-	Rochester Americans	-
107 - 2027-01-13	780	Milwaukee Admirals	-	Bridgeport Islanders	-
109 - 2027-01-15	793	Abbotsford Canucks	-	Milwaukee Admirals	-
110 - 2027-01-16	800	Milwaukee Admirals	-	Lehigh Valley Phantoms	-
112 - 2027-01-18	821	Ontario Reign	-	Milwaukee Admirals	-
115 - 2027-01-21	835	Henderson Silver Knights	-	Milwaukee Admirals	-
117 - 2027-01-23	856	Milwaukee Admirals	-	San Jose Barracuda	-
119 - 2027-01-25	865	Milwaukee Admirals	-	San Diego Gulls	-
120 - 2027-01-26	880	Milwaukee Admirals	-	Tucson Roadrunners	-
122 - 2027-01-28	885	Milwaukee Admirals	-	Tucson Roadrunners	-
129 - 2027-02-04	912	San Diego Gulls	-	Milwaukee Admirals	-
132 - 2027-02-07	939	Utica Comets	-	Milwaukee Admirals	-
134 - 2027-02-09	954	Toronto Marlies	-	Milwaukee Admirals	-
136 - 2027-02-11	969	Milwaukee Admirals	-	Cleveland Monsters	-
137 - 2027-02-12	980	Milwaukee Admirals	-	Hershey Bears	-
139 - 2027-02-14	992	Manitoba Moose	-	Milwaukee Admirals	-
141 - 2027-02-16	1009	Bakersfield Condors	-	Milwaukee Admirals	-
143 - 2027-02-18	1028	Ontario Reign	-	Milwaukee Admirals	-
146 - 2027-02-21	1045	Colorado Eagles	-	Milwaukee Admirals	-
148 - 2027-02-23	1062	Tucson Roadrunners	-	Milwaukee Admirals	-
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2027-02-25	1078	Iowa Wild	-	Milwaukee Admirals	-
153 - 2027-02-28	1098	Milwaukee Admirals	-	Springfield Thunderbirds	-
155 - 2027-03-02	1115	Milwaukee Admirals	-	Bakersfield Condors	-
157 - 2027-03-04	1126	Milwaukee Admirals	-	Manitoba Moose	-
159 - 2027-03-06	1145	Milwaukee Admirals	-	Calgary Wranglers	-
161 - 2027-03-08	1156	Milwaukee Admirals	-	Abbotsford Canucks	-
164 - 2027-03-11	1175	Providence Bruins	-	Milwaukee Admirals	-
167 - 2027-03-14	1197	Hartford Wolf Pack	-	Milwaukee Admirals	-
170 - 2027-03-17	1224	Milwaukee Admirals	-	Rockford IceHogs	-
171 - 2027-03-18	1231	Milwaukee Admirals	-	Texas Stars	-
174 - 2027-03-21	1258	Rochester Americans	-	Milwaukee Admirals	-
176 - 2027-03-23	1265	Rockford IceHogs	-	Milwaukee Admirals	-
178 - 2027-03-25	1282	Calgary Wranglers	-	Milwaukee Admirals	-
181 - 2027-03-28	1308	Coachella Firebirds	-	Milwaukee Admirals	-
183 - 2027-03-30	1323	Milwaukee Admirals	-	Rockford IceHogs	-
185 - 2027-04-01	1336	Texas Stars	-	Milwaukee Admirals	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,370,508$	6,236,666$	6,236,666$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,370,508$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	150	33,712$	5,056,800$

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: 14 \| W: 1 \| L: 13 \| OTL: 0 \| P: 2 GF: 21 \| GA: 101 \| PP%: 0.00% \| PK%: 50.00% GM : \| Morale : 40 \| Team Overall : 62 Next Games #237 vs Chicago Wolves

Milwaukee Admirals Players Stat Leaders (Regular Season)

Milwaukee Admirals Goalies Stat Leaders (Regular Season)

Milwaukee Admirals Career Team Stats

Milwaukee Admirals Players Stat Leaders (Play-Off)

Milwaukee Admirals Goalies Stat Leaders (Play-Off)

CHAMPIONS DE LA COUPE STANLEY LHSRSM