Predators
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Milwaukee Admirals 7-5-0, 14pts	3	Box score	2	False Creek Flaming Poo 7-4-0, 14pts

Team Stats
L1	Streak	W1
2-4-0	Home Record	4-2-0
5-1-0	Home Record	3-2-0
6-4-0	Last 10 Games	6-3-1
2.75	Goals Per Game	3.18
2.67	Goals Against Per Game	2.73
21.43%	Power Play Percentage	19.05%
84.78%	Penalty Kill Percentage	86.49%

False Creek Flaming Poo
7-4-0, 14pts

Box score

Milwaukee Admirals
7-5-0, 14pts

Team Stats
W1	Streak	L1
4-2-0	Home Record	2-4-0
3-2-0	Home Record	5-1-0
6-3-1	Last 10 Games	6-4-0
3.18	Goals Per Game	2.75
2.73	Goals Against Per Game	2.67
19.05%	Power Play Percentage	21.43%
86.49%	Penalty Kill Percentage	84.78%

Milwaukee Admirals
7-5-0, 14pts

Day 28

False Creek Flaming Poo
7-4-0, 14pts

Team Stats
L1	Streak	W1
2-4-0	Home Record	4-2-0
5-1-0	Away Record	3-2-0
6-4-0	Last 10 Games	6-3-1
2.75	Goals Per Game	3.18
2.67	Goals Against Per Game	3.18
21.43%	Power Play Percentage	19.05%
84.78%	Penalty Kill Percentage	86.49%

Team Leaders
Goals Jack Roslovic 7			Assists Nicklaus Perbix 7

Points Jack Roslovic 13			Plus/Minus Matthew Poitras 2

Wins Charlie Lindgren 5			Save Percentage Charlie Lindgren 0.916

Team Stats
Goals For 33 2.75 GFG	Shots For 336 28.00 Avg	Power Play Percentage 21.4% 12 GF	Offensive Zone Start 39.6%
Goals Against 32 2.67 GAA	Shots Against 377 31.42 Avg	Penalty Kill Percentage 84.8%% 7 GA	Defensive Zone Start 41.7%

Team Info
	General Manager	Luke
	Coach	Manny Viverios
	Division	Central Division
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	25
	Farm Team	19
	Contract Limit	44 / 50
	Prospects	31

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	Ross Colton	X	X			100.00	90	50	91	79	62	58	87	77	80	58	61	68	78	51	42	0	83	0	0	28	1	2,200,000$
2	Jeffrey Viel		X			100.00	99	80	58	74	71	69	76	71	53	59	56	65	56	50	47	0	83	0	0	28	3	625,000$
3	Dylan Gambrell	X		X		100.00	58	50	83	77	53	56	87	74	77	59	58	69	62	49	42	0	44	0	0	29	1	1,150,000$
4	Jack Roslovic	X		X		100.00	44	50	96	84	65	76	86	82	89	65	74	68	67	68	55	0	83	0	0	28	1	2,350,000$
5	Jan Jenik (R)	X		X		100.00	84	63	68	72	66	69	69	70	58	58	57	64	57	46	40	0	81	0	0	24	2	875,000$
6	Matthew Poitras (R)	X				100.00	49	50	92	82	49	74	79	76	70	70	57	68	57	33	35	0	83	0	0	21	3	750,000$
7	Jakub Brabenec (R)	X	X			100.00	55	50	94	69	43	69	72	65	77	56	55	61	55	33	34	0	83	0	0	21	2	600,000$
8	Adam Beckman (R)	X	X			100.00	65	50	86	70	50	69	69	66	70	60	59	63	56	41	39	0	83	0	0	24	2	825,000$
9	Brett Seney		X			100.00	60	54	74	76	28	69	70	74	53	62	56	62	57	55	45	0	83	0	0	29	1	672,760$
10	Kevin Rooney	X	X	X		100.00	55	50	94	75	57	62	87	74	68	58	61	75	62	59	50	0	83	0	0	32	1	995,000$
11	Daniil Miromanov			X	X	100.00	51	50	92	80	72	79	70	76	40	60	58	76	58	49	41	0	83	0	0	28	1	1,000,000$
12	Nicklaus Perbix				X	100.00	48	50	92	74	71	80	87	66	40	59	59	73	54	45	40	0	83	0	0	27	1	1,150,000$
13	Uvis Balinskis				X	100.00	63	53	91	80	64	73	84	76	40	64	59	73	58	55	52	0	83	0	0	29	3	1,250,000$
14	Kurtis MacDermid		X		X	100.00	79	79	90	73	96	67	84	71	52	59	60	68	54	64	49	0	84	0	0	31	1	950,000$
15	Guillaume Brisebois (R)				X	100.00	56	55	91	71	42	68	68	67	40	53	54	69	54	55	49	0	60	0	0	28	1	695,000$
16	Erik Gustafsson				X	100.00	53	50	90	79	56	76	77	76	40	65	57	73	60	69	60	0	83	0	0	33	1	800,000$
17	Emil Lilleberg				X	100.00	92	68	72	78	74	75	86	78	40	61	59	73	53	39	43	0	83	0	0	24	2	600,000$
18	Jake Christiansen				X	100.00	71	53	97	77	65	71	81	72	40	57	53	73	62	48	38	0	83	0	0	25	1	900,000$
Scratches
1	Daimon Gardner (R)	X				100.00	58	50	87	65	69	60	60	64	75	54	53	60	53	27	25	0	20	0	0	21	3	600,000$
2	Marc-Andre Gaudet (R)				X	100.00	58	50	99	65	47	55	55	65	40	59	61	64	61	31	29	0	20	0	0	21	3	400,000$
3	Nikita Novikov (R)				X	100.00	70	53	80	68	62	69	74	66	40	55	56	67	53	36	38	0	20	0	0	22	2	300,000$
4	John St. Ivany (R)				X	100.00	90	62	88	72	70	69	72	67	40	58	53	72	53	43	39	0	20	0	0	26	1	725,000$

	TEAM AVERAGE					100.00	66	55	87	75	61	69	76	72	56	60	58	68	58	48	42	0	69	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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Charlie Lindgren	100.00	84	74	69	77	86	85	86	87	86	78	72	71	71	0	78	0	0	31	3	1,500,000$
2	Laurent Brossoit	100.00	80	73	66	84	87	86	89	86	88	78	77	68	68	0	76	0	0	32	1	1,500,000$
Scratches
1	Calle Clang (R)	100.00	78	61	58	78	78	77	78	77	78	78	80	45	45	0	24	0	0	23	1	700,000$

	TEAM AVERAGE	100.00	81	69	64	80	84	83	84	83	84	78	76	61	61	0	59	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Manny Viverios	74	75	73	79	67	67	50	CAN	57	3	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	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	P/20	S1	S2	S3
1	Jack Roslovic	Milwaukee Admirals (NSH)	C/RW	12	7	6	13	-5	0	0	30	52	15	32	13.46%	1	243	20.29	5	3	8	16	42	0	0	0	0	18	1	0	58.00%	300	0	1.07	2	1	1
2	Nicklaus Perbix	Milwaukee Admirals (NSH)	D	12	3	7	10	-2	6	10	10	23	6	16	13.04%	19	276	23.03	1	4	5	10	49	0	0	0	0	37	1	0	0%	0	0	0.72	1	0	0
3	Daniil Miromanov	Milwaukee Admirals (NSH)	RW/D	12	3	6	9	-2	0	7	23	41	6	28	7.32%	1	241	20.11	1	2	3	15	50	0	0	0	0	17	2	0	43.48%	23	0	0.75	0	1	0
4	Kevin Rooney	Milwaukee Admirals (NSH)	C/LW/RW	12	5	3	8	1	0	4	20	41	9	27	12.20%	5	270	22.54	1	1	2	8	48	0	0	0	0	40	0	0	59.09%	22	1	0.59	0	1	0
5	Uvis Balinskis	Milwaukee Admirals (NSH)	D	12	2	5	7	1	6	23	15	11	1	8	18.18%	13	233	19.46	0	0	0	0	3	1	0	1	1	29	0	1	0%	0	0	0.60	1	1	0
6	Kurtis MacDermid	Milwaukee Admirals (NSH)	LW/D	12	1	6	7	1	6	15	13	17	12	19	5.88%	7	260	21.74	0	3	3	6	51	0	0	0	0	32	0	0	44.44%	9	0	0.54	1	0	0
7	Emil Lilleberg	Milwaukee Admirals (NSH)	D	12	2	5	7	-2	10	29	11	21	9	15	9.52%	14	204	17.04	1	2	3	11	40	0	1	1	1	11	0	1	0%	0	0	0.68	1	1	0
8	Jake Christiansen	Milwaukee Admirals (NSH)	D	12	2	5	7	1	8	13	8	3	3	6	66.67%	7	194	16.23	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.72	0	0	0
9	Matthew Poitras	Milwaukee Admirals (NSH)	C	12	2	4	6	2	0	2	10	9	1	9	22.22%	2	110	9.21	0	3	3	5	52	0	0	0	0	47	2	0	49.75%	199	0	1.09	0	1	0
10	Ross Colton	Milwaukee Admirals (NSH)	C/LW	12	2	3	5	-5	12	39	13	33	3	38	6.06%	2	256	21.33	2	2	4	7	40	0	0	0	2	19	1	1	50.00%	26	0	0.39	0	1	0
11	Erik Gustafsson	Milwaukee Admirals (NSH)	D	12	1	4	5	-5	16	16	11	16	12	20	6.25%	19	284	23.72	1	1	2	9	41	0	0	0	1	30	0	0	0%	0	0	0.35	0	0	1
12	Dylan Gambrell	Milwaukee Admirals (NSH)	C/RW	12	2	1	3	0	6	6	17	16	5	17	12.50%	2	184	15.38	0	0	0	0	6	0	0	0	0	0	0	0	55.56%	18	0	0.33	0	0	0
13	Jakub Brabenec	Milwaukee Admirals (NSH)	C/LW	12	1	2	3	-1	2	5	30	9	7	14	11.11%	0	202	16.86	0	0	0	0	0	0	0	0	0	0	0	0	52.63%	228	0	0.30	0	0	0
14	Adam Beckman	Milwaukee Admirals (NSH)	C/LW	12	0	2	2	-1	4	19	6	18	5	10	0%	1	177	14.83	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	9	0	0.22	0	0	0
15	Jeffrey Viel	Milwaukee Admirals (NSH)	LW	12	0	1	1	0	2	3	1	4	1	2	0%	1	44	3.71	0	0	0	0	0	0	1	1	0	2	0	0	0%	1	0	0.45	0	0	0
16	Jan Jenik	Milwaukee Admirals (NSH)	C/RW	12	0	1	1	-2	20	27	14	18	5	10	0%	2	216	18.01	0	1	1	2	42	0	0	0	0	0	0	0	43.14%	204	0	0.09	0	0	0
17	Guillaume Brisebois	Milwaukee Admirals (NSH)	D	12	0	1	1	-2	2	2	5	4	1	2	0%	9	175	14.58	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.11	0	0	0
18	Brett Seney	Milwaukee Admirals (NSH)	LW	12	0	0	0	0	0	0	0	0	0	0	0%	0	1	0.15	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0
Team Total or Average				216	33	62	95	-21	100	220	237	336	101	273	9.82%	105	3578	16.57	12	22	34	89	470	1	2	3	5	288	7	3	51.68%	1039	1	0.53	6	7	2

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	PCT	GAA	MP	PIM	GA	SA	A	PS %	ST	BG	S1	S3
1	Charlie Lindgren	Milwaukee Admirals (NSH)	11	5	4	0.916	2.83	552	2	26	310	0	0	10	2	1	2
2	Laurent Brossoit	Milwaukee Admirals (NSH)	4	2	1	0.910	2.00	180	0	6	67	1	0	2	10	0	0
Team Total or Average			15	7	5	0.915	2.62	732	2	32	377	1		12	12	1	2

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
Adam Beckman	Milwaukee Admirals (NSH)	C/LW	24	2001-05-10	CAN	Yes	182 Lbs	6 ft2	No	No	Free Agent		No	No	2	2025-08-26	False	False	Pro & Farm	825,000$	82,500$	2,946$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Brett Seney	Milwaukee Admirals (NSH)	LW	29	1996-02-28	CAN	No	156 Lbs	5 ft9	No	No	Trade	2025-02-26	No	No	1		False	False	Pro & Farm	672,760$	67,276$	2,403$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Calle Clang	Milwaukee Admirals (NSH)	G	23	2002-05-20	SWE	Yes	190 Lbs	6 ft2	No	No	Trade	2025-07-21	No	No	1		False	False	Pro & Farm	700,000$	70,000$	2,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Charlie Lindgren	Milwaukee Admirals (NSH)	G	31	1993-12-18	USA	No	179 Lbs	6 ft2	No	No	Free Agent	2025-01-20	No	No	3	2025-09-01	False	False	Pro & Farm	1,500,000$	150,000$	5,357$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Daimon Gardner	Milwaukee Admirals (NSH)	C	21	2004-01-18	CAN	Yes	205 Lbs	6 ft5	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	600,000$	60,000$	2,143$	No	600,000$	600,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Daniil Miromanov	Milwaukee Admirals (NSH)	RW/D	28	1997-01-11	RUS	No	198 Lbs	6 ft4	No	No	Trade	2025-01-25	No	No	1		False	False	Pro & Farm	1,000,000$	100,000$	3,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dylan Gambrell	Milwaukee Admirals (NSH)	C/RW	29	1996-08-26	USA	No	185 Lbs	5 ft11	No	No	Trade	2025-03-11	No	No	1		False	False	Pro & Farm	1,150,000$	115,000$	4,107$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Emil Lilleberg	Milwaukee Admirals (NSH)	D	24	2001-02-02	NOR	No	202 Lbs	6 ft2	No	No	Trade	2024-12-17	No	No	2		False	False	Pro & Farm	600,000$	60,000$	2,143$	No	600,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Erik Gustafsson	Milwaukee Admirals (NSH)	D	33	1992-03-14	SWE	No	197 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	800,000$	80,000$	2,857$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Guillaume Brisebois	Milwaukee Admirals (NSH)	D	28	1997-07-21	CAN	Yes	175 Lbs	6 ft2	No	No	Free Agent		No	No	1	2025-01-26	False	False	Pro & Farm	695,000$	69,500$	2,482$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jack Roslovic	Milwaukee Admirals (NSH)	C/RW	28	1997-01-29	USA	No	187 Lbs	6 ft1	No	No	Free Agent	2025-01-26	No	No	1	2025-08-26	False	False	Pro & Farm	2,350,000$	235,000$	8,393$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jake Christiansen	Milwaukee Admirals (NSH)	D	25	1999-09-12	CAN	No	186 Lbs	6 ft0	No	No	Free Agent	2025-01-25	No	No	1	2025-08-26	False	False	Pro & Farm	900,000$	90,000$	3,214$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jakub Brabenec	Milwaukee Admirals (NSH)	C/LW	21	2003-09-11	CZE	Yes	180 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	600,000$	60,000$	2,143$	No	600,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jan Jenik	Milwaukee Admirals (NSH)	C/RW	24	2000-09-15	CZE	Yes	185 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	875,000$	87,500$	3,125$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jeffrey Viel	Milwaukee Admirals (NSH)	LW	28	1997-01-28	CAN	No	205 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro & Farm	625,000$	62,500$	2,232$	No	625,000$	625,000$	-	-	-	-	-	-	-	625,000$	625,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
John St. Ivany	Milwaukee Admirals (NSH)	D	26	1999-07-22	USA	Yes	201 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	725,000$	72,500$	2,589$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kevin Rooney	Milwaukee Admirals (NSH)	C/LW/RW	32	1993-05-21	USA	No	190 Lbs	6 ft2	No	No	Trade	2025-03-11	No	No	1		False	False	Pro & Farm	995,000$	99,500$	3,554$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kurtis MacDermid	Milwaukee Admirals (NSH)	LW/D	31	1994-03-25	CAN	No	233 Lbs	6 ft5	No	No	Trade	2025-11-18	No	No	1		False	False	Pro & Farm	950,000$	95,000$	3,393$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Laurent Brossoit	Milwaukee Admirals (NSH)	G	32	1993-03-23	CAN	No	215 Lbs	6 ft3	No	No	Trade	2025-02-22	No	No	1		False	False	Pro & Farm	1,500,000$	150,000$	5,357$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Marc-Andre Gaudet	Milwaukee Admirals (NSH)	D	21	2003-10-24	CAN	Yes	181 Lbs	6 ft3	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	400,000$	40,000$	1,429$	No	400,000$	400,000$	-	-	-	-	-	-	-	400,000$	400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Matthew Poitras	Milwaukee Admirals (NSH)	C	21	2004-03-10	CAN	Yes	180 Lbs	5 ft11	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	750,000$	75,000$	2,679$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Nicklaus Perbix	Milwaukee Admirals (NSH)	D	27	1998-06-15	USA	No	201 Lbs	6 ft4	No	No	Trade	2025-03-11	No	No	1		False	False	Pro & Farm	1,150,000$	115,000$	4,107$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nikita Novikov	Milwaukee Admirals (NSH)	D	22	2003-07-25	RUS	Yes	196 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	300,000$	30,000$	1,071$	No	300,000$	-	-	-	-	-	-	-	-	300,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Ross Colton	Milwaukee Admirals (NSH)	C/LW	28	1996-09-11	USA	No	194 Lbs	6 ft0	No	No	Free Agent	2025-03-11	No	No	1	2025-08-26	False	False	Pro & Farm	2,200,000$	220,000$	7,857$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Uvis Balinskis	Milwaukee Admirals (NSH)	D	29	1996-08-01	LAT	No	196 Lbs	6 ft0	No	No	Free Agent		No	No	3	2025-08-26	False	False	Pro & Farm	1,250,000$	125,000$	4,464$	No	1,250,000$	1,250,000$	-	-	-	-	-	-	-	1,250,000$	1,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	26.60	192 Lbs	6 ft2	1.68	964,510$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ross Colton	Jack Roslovic	Daniil Miromanov	36	1	2	2
2	Kurtis MacDermid	Jan Jenik	Kevin Rooney	32	1	2	2
3	Adam Beckman	Jakub Brabenec	Dylan Gambrell	22	1	2	2
4	Jeffrey Viel	Jakub Brabenec	Ross Colton	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Erik Gustafsson	Nicklaus Perbix	36	1	2	2
2	Uvis Balinskis	Jake Christiansen	32	1	2	2
3	Emil Lilleberg	Guillaume Brisebois	22	1	2	2
4	Erik Gustafsson	Guillaume Brisebois	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kevin Rooney	Matthew Poitras	Daniil Miromanov	60	1	2	2
2	Ross Colton	Jack Roslovic	Jan Jenik	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kurtis MacDermid	Nicklaus Perbix	60	1	2	2
2	Emil Lilleberg	Erik Gustafsson	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matthew Poitras	Kevin Rooney	60	1	2	2
2	Jack Roslovic	Ross Colton	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kurtis MacDermid	Nicklaus Perbix	60	1	2	2
2	Uvis Balinskis	Erik Gustafsson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Rooney	60	1	2	2	Kurtis MacDermid	Nicklaus Perbix	60	1	2	2
2	Dylan Gambrell	40	1	2	2	Uvis Balinskis	Erik Gustafsson	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matthew Poitras	Kevin Rooney	60	1	2	2
2	Jack Roslovic	Ross Colton	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kurtis MacDermid	Nicklaus Perbix	60	1	2	2
2	Uvis Balinskis	Erik Gustafsson	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jeffrey Viel	Kevin Rooney	Daniil Miromanov	Erik Gustafsson	Nicklaus Perbix

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Kevin Rooney	Dylan Gambrell	Daniil Miromanov	Erik Gustafsson	Nicklaus Perbix

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jack Roslovic, Jan Jenik, Ross Colton	Dylan Gambrell, Jan Jenik	Daniil Miromanov

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Erik Gustafsson, Emil Lilleberg, Jake Christiansen	Erik Gustafsson	Erik Gustafsson, Emil Lilleberg

Penalty Shots
Daniil Miromanov, Kurtis MacDermid, Kevin Rooney, Ross Colton, Jan Jenik

Goalie
#1 : Charlie Lindgren, #2 : Laurent Brossoit

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
1	False Creek Flaming Poo	6	3	3	0	0	0	0	0	17	16	1	3	1	2	0	0	0	0	0	7	7	0	3	2	1	0	0	0	0	0	10	9	1	6	0.500	17	32	49	0	0	6	12	13	2	172	101	116	112	7	188	60	60	116	17	3	17.65%	26	5	80.77%	1	218	411	53.04%	219	433	50.58%	100	195	51.28%	308	217	275	88	149	75
2	Laval Rockets	6	4	2	0	0	0	0	0	16	16	0	3	1	2	0	0	0	0	0	6	10	-4	3	3	0	0	0	0	0	0	10	6	4	8	0.667	16	30	46	0	0	6	12	13	2	164	101	116	112	7	189	45	42	104	39	9	23.08%	20	2	90.00%	0	218	411	53.04%	219	433	50.58%	100	195	51.28%	308	217	275	88	149	75
	Total	12	7	5	0	0	0	0	0	33	32	1	6	2	4	0	0	0	0	0	13	17	-4	6	5	1	0	0	0	0	0	20	15	5	14	0.583	33	62	95	0	0	6	12	13	2	336	101	116	112	7	377	105	102	220	56	12	21.43%	46	7	84.78%	1	218	411	53.04%	219	433	50.58%	100	195	51.28%	308	217	275	88	149	75
	_Since Last GM Reset	12	7	5	0	0	0	0	0	33	32	1	6	2	4	0	0	0	0	0	13	17	-4	6	5	1	0	0	0	0	0	20	15	5	14	0.583	33	62	95	0	0	6	12	13	2	336	101	116	112	7	377	105	102	220	56	12	21.43%	46	7	84.78%	1	218	411	53.04%	219	433	50.58%	100	195	51.28%	308	217	275	88	149	75
	_Vs Conference	12	7	5	0	0	0	0	0	33	32	1	6	2	4	0	0	0	0	0	13	17	-4	6	5	1	0	0	0	0	0	20	15	5	14	0.583	33	62	95	0	0	6	12	13	2	336	101	116	112	7	377	105	102	220	56	12	21.43%	46	7	84.78%	1	218	411	53.04%	219	433	50.58%	100	195	51.28%	308	217	275	88	149	75
	_Vs Division	6	3	3	0	0	0	0	0	17	16	1	3	1	2	0	0	0	0	0	7	7	0	3	2	1	0	0	0	0	0	10	9	1	6	0.500	17	32	49	0	0	6	12	13	2	172	101	116	112	7	188	60	60	116	17	3	17.65%	26	5	80.77%	1	218	411	53.04%	219	433	50.58%	100	195	51.28%	308	217	275	88	149	75

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
12	14	L1	33	62	95	336	377	105	102	220	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	7	5	0	0	0	0	33	32

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	13	17

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	5	1	0	0	0	0	20	15

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	4	2	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
56	12	21.43%	46	7	84.78%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
101	116	112	7	6	12	13	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
218	411	53.04%	219	433	50.58%	100	195	51.28%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
308	217	275	88	149	75

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	Link
2	7	Laval Rockets	1	Milwaukee Admirals	2	W		Box score
4	15	Laval Rockets	6	Milwaukee Admirals	3	L		Box score
6	23	Milwaukee Admirals	4	Laval Rockets	3	W	X	Box score
8	31	Milwaukee Admirals	4	Laval Rockets	2	W		Box score
10	39	Laval Rockets	3	Milwaukee Admirals	1	L		Box score
12	47	Milwaukee Admirals	2	Laval Rockets	1	W		Box score
16	60	Milwaukee Admirals	3	False Creek Flaming Poo	2	W		Box score
18	64	Milwaukee Admirals	4	False Creek Flaming Poo	5	L		Box score
20	68	False Creek Flaming Poo	3	Milwaukee Admirals	2	L		Box score
22	72	False Creek Flaming Poo	1	Milwaukee Admirals	3	W		Box score
24	76	Milwaukee Admirals	3	False Creek Flaming Poo	2	W	X	Box score
26	80	False Creek Flaming Poo	3	Milwaukee Admirals	2	L		Box score
28	84	Milwaukee Admirals	-	False Creek Flaming Poo	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	12,000	6,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
35	3000 - 100.00%	68,000$	408,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,411,276$	2,411,276$	1$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	25	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	0$	0$

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: 12 \| W: 7 \| L: 5 GF: 33 \| GA: 32 \| PP%: 21.43% \| PK%: 84.78% GM : Luke \| Morale : 98 \| Team Overall : N/A Next Games #84 vs False Creek Flaming Poo