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

Game Center
	Milwaukee Admirals 22-32-3, 47pts	2	Box score	4	San Jose Barracuda 23-30-2, 48pts

Team Stats
L2	Streak	W2
11-15-1	Home Record	12-13-1
11-17-2	Home Record	11-17-1
5-5-0	Last 10 Games	7-3-0
2.63	Goals Per Game	2.95
3.19	Goals Against Per Game	3.36
14.93%	Power Play Percentage	15.92%
84.98%	Penalty Kill Percentage	83.64%

Texas Stars
31-21-6, 68pts

Box score

Milwaukee Admirals
22-32-3, 47pts

Team Stats
W1	Streak	L2
16-11-2	Home Record	11-15-1
15-10-4	Home Record	11-17-2
5-4-1	Last 10 Games	5-5-0
3.19	Goals Per Game	2.63
3.10	Goals Against Per Game	3.19
15.38%	Power Play Percentage	14.93%
81.98%	Penalty Kill Percentage	84.98%

San Diego Gulls
33-20-3, 69pts

Day 112

Milwaukee Admirals
22-32-3, 47pts

Team Stats
L1	Streak	L2
19-9-1	Home Record	11-15-1
14-11-2	Away Record	11-17-2
4-5-1	Last 10 Games	5-5-0
3.66	Goals Per Game	2.63
2.84	Goals Against Per Game	2.63
19.48%	Power Play Percentage	14.93%
84.42%	Penalty Kill Percentage	84.98%

Springfield Thunderbirds
30-20-5, 65pts

Day 114

Milwaukee Admirals
22-32-3, 47pts

Team Stats
W1	Streak	L2
16-8-3	Home Record	11-15-1
14-12-2	Away Record	11-17-2
6-3-1	Last 10 Games	5-5-0
3.25	Goals Per Game	2.63
2.60	Goals Against Per Game	2.63
21.93%	Power Play Percentage	14.93%
83.93%	Penalty Kill Percentage	84.98%

Milwaukee Admirals
22-32-3, 47pts

Day 115

Iowa Wild
21-26-8, 50pts

Team Stats
L2	Streak	W2
11-15-1	Home Record	13-9-4
11-17-2	Away Record	8-17-4
5-5-0	Last 10 Games	6-4-0
2.63	Goals Per Game	2.53
3.19	Goals Against Per Game	2.53
14.93%	Power Play Percentage	17.12%
84.98%	Penalty Kill Percentage	79.90%

Team Leaders
	Goals Sam Lafferty 23		Assists Jakob Pelletier 37

	Points Jakob Pelletier 48	Plus/Minus Dominik Badinka 2

Wins Jesper Vikman 21			Save Percentage Akira Schmid 0.919

Team Stats
Goals For 150 2.63 GFG	Shots For 1630 28.60 Avg	Power Play Percentage 14.9% 33 GF	Offensive Zone Start 39.8%
Goals Against 182 3.19 GAA	Shots Against 1736 30.46 Avg	Penalty Kill Percentage 85.0%% 35 GA	Defensive Zone Start 41.8%

Team Info
	General Manager	Tomas Stryja
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	29
	Farm Team	21
	Contract Limit	50 / 80
	Prospects	40

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	Rasmus Asplund	X	X	X		100.00	75	69	89	75	69	80	85	64	80	59	62	69	59	62	62	0	50	63	0	27	1	800,000$
2	Gage Goncalves (R)	X	X			100.00	77	43	92	77	68	63	91	62	44	65	64	64	75	51	51	0	50	62	0	24	1	1,100,000$
3	Jakob Pelletier	X	X			100.00	75	42	93	76	61	59	86	60	38	69	66	68	25	55	55	0	50	62	0	24	2	1,100,000$
4	Sam Lafferty	X	X	X		100.00	80	45	86	83	76	55	77	61	57	55	58	69	25	67	69	0	50	61	0	30	1	1,200,000$
5	Max Jones		X	X		100.00	91	47	80	76	80	54	81	56	25	54	56	62	25	65	65	0	50	59	0	27	1	900,000$
6	Judd Caulfield		X	X		100.00	82	82	82	65	82	76	82	55	50	50	56	66	53	44	44	0	50	59	0	24	8	100,000$
7	Axel Jonsson-Fjallby	X	X			100.00	77	72	88	66	72	75	80	56	70	52	56	64	53	44	45	0	50	58	0	27	1	900,000$
8	Jakub Demek	X	X	X		100.00	83	77	97	64	77	55	54	61	76	61	56	68	53	44	44	0	50	58	0	22	8	100,000$
9	Nate Danielson (R)	X		X		100.00	75	71	85	67	71	56	56	60	75	59	56	64	53	44	44	0	50	57	0	20	10	100,000$
10	Nathan Gaucher	X		X		100.00	76	82	62	65	82	69	73	53	66	49	53	62	50	44	44	0	50	57	0	21	8	100,000$
11	Parker Bell (R)		X	X		100.00	82	81	84	63	81	72	78	49	50	44	48	64	46	44	44	0	50	56	0	21	10	100,000$
12	Francesco Pinelli (R)	X	X			100.00	73	70	81	66	70	56	56	56	70	50	58	62	55	44	44	0	50	56	0	22	10	100,000$
13	Ty Nelson (R)				X	100.00	72	69	80	66	69	80	87	52	25	53	46	57	40	44	44	0	50	59	0	21	9	100,000$
14	Jake Livingstone				X	100.00	79	78	81	64	78	69	75	49	25	41	50	60	43	44	44	0	50	58	0	26	1	600,000$
15	Joseph Cecconi				X	100.00	80	80	80	64	80	55	57	48	25	44	44	60	38	44	44	0	50	56	0	28	4	100,000$
16	Jack Rathbone				X	100.00	69	66	76	65	66	72	78	50	25	47	46	55	40	44	44	0	50	56	0	26	1	600,000$
17	Ryan Jones				X	100.00	80	78	85	62	78	46	46	49	50	48	44	63	42	44	44	0	50	55	0	29	8	100,000$
18	Dominik Badinka (R)				X	100.00	63	70	47	80	70	32	30	41	25	31	43	50	37	44	44	0	50	49	0	19	10	100,000$
Scratches
1	Henrik Rybinski	X	X	X		100.00	75	70	88	66	70	53	52	60	50	59	56	64	53	44	44	0	50	57	0	24	8	100,000$
2	Samuel Savoie (R)	X	X			100.00	74	68	88	65	68	79	87	51	50	50	47	61	45	44	44	0	50	56	0	21	10	100,000$
3	Ethan Keppen	X	X	X		100.00	78	75	86	63	75	43	40	57	71	49	60	64	57	44	44	0	50	55	0	24	8	100,000$
4	Gavin Hayes (R)		X	X		100.00	74	66	94	64	66	62	65	50	50	50	46	61	44	44	44	0	50	54	0	21	10	100,000$
5	Lukas Svejkovsky	X		X		100.00	68	60	85	80	60	36	32	52	50	38	61	58	58	44	44	0	50	52	0	23	7	100,000$
6	Quinn Olson (R)	X	X			100.00	69	67	72	80	67	36	33	48	60	47	44	58	42	44	44	0	50	51	0	24	10	100,000$
7	Nick Capone (R)	X		X		100.00	49	49	49	49	49	49	49	49	49	49	49	49	49	49	49	0	50	48	0	24	10	100,000$
8	Gustav Lindstrom				X	100.00	73	70	80	63	70	57	60	47	25	40	46	56	40	44	44	0	50	54	0	26	1	1,000,000$

	TEAM AVERAGE					100.00	75	67	81	68	71	59	65	54	49	51	53	61	46	47	47	0	50	56

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	Jesper Vikman (R)	98.00	54	52	75	72	55	94	55	59	94	90	45	44	44	0	50	60	0	23	6	100,000$
2	Akira Schmid	100.00	58	82	79	83	56	58	60	64	58	58	95	48	49	0	50	57	0	25	2	1,100,000$
Scratches
1	Mason Beaupit	100.00	49	49	49	49	49	49	49	49	49	49	49	49	49	0	50	48	0	21	8	100,000$

	TEAM AVERAGE	99.33	54	61	68	68	53	67	55	57	67	66	63	47	47	0	50	55

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	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Jakob Pelletier	Milwaukee Admirals (NSH)	C/LW	57	11	37	48	-26	2	0	34	128	171	47	115	6.43%	22	1169	20.52	3	10	13	38	189	0	1	1	6	214	0	0	41.32%	363	0.82	1	3	0	0	0	1	2	2
2	Gage Goncalves	Milwaukee Admirals (NSH)	C/LW	57	20	26	46	-3	8	0	55	143	214	65	128	9.35%	14	1195	20.98	5	10	15	38	192	1	0	1	5	140	3	0	37.09%	302	0.77	1	3	0	0	0	2	2	2
3	Sam Lafferty	Milwaukee Admirals (NSH)	C/LW/RW	57	23	19	42	-25	8	0	69	148	144	47	105	15.97%	27	1130	19.84	4	8	12	38	189	1	0	1	4	213	5	2	50.19%	518	0.74	1	2	0	0	0	4	3	2
4	Judd Caulfield	Milwaukee Admirals (NSH)	LW/RW	57	13	25	38	-1	28	10	97	100	148	52	106	8.78%	18	1131	19.86	7	7	14	43	184	0	1	1	1	111	1	1	38.03%	71	0.67	0	0	1	0	1	1	2	2
5	Max Jones	Milwaukee Admirals (NSH)	LW/RW	57	13	24	37	-23	42	0	166	114	99	27	91	13.13%	9	1075	18.86	6	7	13	32	167	0	0	0	3	54	2	1	32.95%	865	0.69	0	0	0	0	0	3	2	1
6	Axel Jonsson-Fjallby	Milwaukee Admirals (NSH)	C/LW	57	15	18	33	-3	14	0	29	138	114	32	94	13.16%	10	920	16.15	0	0	0	2	8	0	0	0	0	22	1	1	54.60%	1000	0.72	0	0	0	0	0	0	1	4
7	Nathan Gaucher	Milwaukee Admirals (NSH)	C/RW	57	9	18	27	-4	59	15	131	63	143	31	87	6.29%	6	982	17.23	2	3	5	25	105	0	0	0	0	0	2	0	53.48%	187	0.55	0	0	1	1	1	2	0	1
8	Rasmus Asplund	Milwaukee Admirals (NSH)	C/LW/RW	29	11	14	25	1	14	0	22	87	107	21	78	10.28%	10	539	18.60	1	1	2	3	21	0	0	0	0	35	3	0	58.59%	128	0.93	0	0	0	0	0	2	2	0
9	Nate Danielson	Milwaukee Admirals (NSH)	C/RW	57	13	12	25	-3	22	0	44	140	145	32	86	8.97%	15	865	15.18	0	0	0	2	10	0	0	0	0	3	0	1	55.13%	994	0.58	0	0	0	0	0	0	3	3
10	Jake Livingstone	Milwaukee Admirals (NSH)	D	57	4	14	18	-6	62	0	141	33	44	11	18	9.09%	75	1366	23.98	0	2	2	16	180	0	0	0	0	155	0	0	0%	0	0.26	0	0	0	0	0	0	2	1
11	Ryan Jones	Milwaukee Admirals (NSH)	D	57	4	9	13	-17	46	0	99	34	43	12	30	9.30%	70	1142	20.04	3	3	6	21	169	0	0	0	1	159	1	0	0%	0	0.23	0	0	0	0	0	0	0	0
12	Ty Nelson	Milwaukee Admirals (NSH)	D	57	0	12	12	-21	66	0	128	39	35	10	25	0%	72	1548	27.16	0	2	2	21	179	0	1	1	0	174	0	0	0%	0	0.16	0	0	0	0	0	0	0	0
13	Joseph Cecconi	Milwaukee Admirals (NSH)	D	57	2	10	12	-1	63	5	127	22	31	11	14	6.45%	77	1212	21.27	0	0	0	2	40	0	0	0	0	145	0	0	0%	0	0.20	0	0	0	1	0	1	0	0
14	Henrik Rybinski	Milwaukee Admirals (NSH)	C/LW/RW	30	5	7	12	-5	10	0	20	57	74	21	50	6.76%	4	440	14.67	0	0	0	0	0	0	0	0	0	0	2	0	40.00%	45	0.55	0	0	0	0	0	0	2	0
15	Jack Rathbone	Milwaukee Admirals (NSH)	D	57	1	10	11	-10	50	0	91	27	36	9	22	2.78%	45	1093	19.19	1	2	3	26	184	0	0	0	0	72	0	0	0%	0	0.20	0	0	0	0	0	0	0	0
16	Francesco Pinelli	Milwaukee Admirals (NSH)	C/LW	55	2	9	11	-1	0	0	11	33	49	15	29	4.08%	2	260	4.73	1	5	6	16	100	0	0	0	0	0	0	0	54.42%	351	0.85	0	0	0	0	0	0	0	0
17	Samuel Savoie	Milwaukee Admirals (NSH)	C/LW	28	2	0	2	0	2	0	5	12	23	6	10	8.70%	3	156	5.59	0	0	0	0	0	0	0	0	0	3	0	0	30.77%	13	0.26	0	0	0	0	0	0	0	0
18	Gustav Lindstrom	Milwaukee Admirals (NSH)	D	27	0	1	1	-7	4	0	25	2	3	1	4	0%	9	255	9.48	0	0	0	1	12	0	0	0	0	50	0	0	0%	0	0.08	0	0	0	0	0	0	0	0
19	Alex Alexeyev	Nashville Predators	D	10	0	1	1	-1	4	0	12	1	1	1	2	0%	2	82	8.26	0	0	0	1	5	0	0	0	0	10	0	0	0%	0	0.24	0	0	0	0	0	0	0	0
20	Dominik Badinka	Milwaukee Admirals (NSH)	D	20	0	1	1	2	4	0	11	0	2	0	0	0%	5	98	4.91	0	0	0	1	6	0	0	0	0	16	0	0	0%	0	0.20	0	0	0	0	0	0	0	0
21	Parker Bell	Milwaukee Admirals (NSH)	LW/RW	29	0	0	0	-1	0	0	3	0	0	0	0	0%	0	24	0.84	0	0	0	0	1	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0
22	Ethan Keppen	Milwaukee Admirals (NSH)	C/LW/RW	27	0	0	0	0	0	0	1	1	0	1	2	0%	0	5	0.21	0	0	0	0	1	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0	0	0	0
23	Jakub Demek	Milwaukee Admirals (NSH)	C/LW/RW	30	0	0	0	-1	5	5	1	2	4	2	1	0%	0	20	0.67	0	0	0	0	0	0	0	0	0	4	0	0	58.82%	17	0	0	0	0	0	1	0	0	0
Team Total or Average				1026	148	267	415	-156	513	35	1322	1324	1630	454	1097	9.08%	495	16717	16.29	33	60	93	326	1952	2	3	5	20	1590	20	6	47.93%	4855	0.50	3	8	2	2	3	16	21	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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jesper Vikman	Milwaukee Admirals (NSH)	57	21	32	2	0.896	3.14	3176	12	5	166	1597	2	4	1.000	2	57	0	6	4	3
2	Akira Schmid	Milwaukee Admirals (NSH)	10	1	0	1	0.919	2.58	256	0	0	11	135	0	0	0.800	5	0	57	0	0	0
Team Total or Average			67	22	32	3	0.898	3.09	3433	12	5	177	1732	2	4		7	57	57	6	4	3

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
Akira Schmid	Milwaukee Admirals (NSH)	G	25	2000-07-06	SUI	No	190 Lbs	6 ft5	No	No	Trade	2024-12-27	No	No	2	2025-09-30	False	False	Pro & Farm	1,100,000$	336,875$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Axel Jonsson-Fjallby	Milwaukee Admirals (NSH)	C/LW	27	1998-07-07	SWE	No	198 Lbs	6 ft1	No	No	Free Agent		No	No	1	2025-09-30	False	False	Pro & Farm	900,000$	275,625$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Dominik Badinka	Milwaukee Admirals (NSH)	D	19	2005-11-27	CZE	Yes	183 Lbs	6 ft3	No	No	Draft		No	No	10	2025-07-15	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No	Link
Ethan Keppen	Milwaukee Admirals (NSH)	C/LW/RW	24	2001-03-20	ON	No	203 Lbs	6 ft2	No	No	Prospect		No	No	8	2024-08-23	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	No	No	No	No	No	No	No	-	-	Link / NHL Link
Francesco Pinelli	Milwaukee Admirals (NSH)	C/LW	22	2003-04-11	ONT	Yes	190 Lbs	6 ft0	No	No	Prospect		No	No	10	2025-07-15	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No	Link
Gage Goncalves	Milwaukee Admirals (NSH)	C/LW	24	2001-07-07	CAN	Yes	184 Lbs	6 ft1	No	No	N/A		No	No	1	2025-10-04	False	False	Pro & Farm	1,100,000$	336,875$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Gavin Hayes	Milwaukee Admirals (NSH)	LW/RW	21	2004-05-14	USA	Yes	176 Lbs	6 ft1	No	No	Prospect		No	No	10	2025-07-15	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No	Link
Gustav Lindstrom	Milwaukee Admirals (NSH)	D	26	1999-07-07	SWE	No	187 Lbs	6 ft2	No	No	Free Agent		No	No	1	2025-09-30	False	False	Pro & Farm	1,000,000$	306,250$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Henrik Rybinski	Milwaukee Admirals (NSH)	C/LW/RW	24	2001-06-26	BC	No	187 Lbs	6 ft2	No	No	Assign Manually		No	No	8	2024-08-23	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	No	No	No	No	No	No	No	-	-	Link
Jack Rathbone	Milwaukee Admirals (NSH)	D	26	1999-07-07	USA	No	185 Lbs	5 ft10	No	No	Free Agent		No	No	1	2025-09-30	False	False	Pro & Farm	600,000$	183,750$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jake Livingstone	Milwaukee Admirals (NSH)	D	26	1999-07-07	CAN	No	207 Lbs	6 ft4	No	No	Free Agent		No	No	1	2025-09-30	False	False	Pro & Farm	600,000$	183,750$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jakob Pelletier	Milwaukee Admirals (NSH)	C/LW	24	2001-07-07	CAN	No	170 Lbs	5 ft9	No	No	N/A		No	No	2	2025-10-04	False	False	Pro & Farm	1,100,000$	336,875$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jakub Demek	Milwaukee Admirals (NSH)	C/LW/RW	22	2003-06-06	SVK	No	203 Lbs	6 ft4	No	No	Trade	2023-11-30	No	No	8		False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	No	No	No	No	No	No	No	-	-	Link
Jesper Vikman	Milwaukee Admirals (NSH)	G	23	2002-03-11	SWE	Yes	179 Lbs	6 ft3	No	No	N/A		No	No	6		False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	-	-	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Joseph Cecconi	Milwaukee Admirals (NSH)	D	28	1997-05-23	USA	No	216 Lbs	6 ft3	No	No	N/A		No	No	4		False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	-	-	-	-	-	-	100,000$	100,000$	100,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Judd Caulfield	Milwaukee Admirals (NSH)	LW/RW	24	2001-03-19	USA	No	220 Lbs	6 ft3	No	No	Prospect		No	No	8	2024-08-23	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	No	No	No	No	No	No	No	-	-	Link
Lukas Svejkovsky	Milwaukee Admirals (NSH)	C/RW	23	2001-11-28	USA	No	165 Lbs	5 ft10	No	No	N/A		No	No	7		False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	-	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	-	No	No	No	No	No	No	-	-	-	Link
Mason Beaupit	Milwaukee Admirals (NSH)	G	21	2003-07-07	CAN	No	185 Lbs	6 ft5	No	No	N/A		No	No	8		False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	No	No	No	No	No	No	No	-	-
Max Jones	Milwaukee Admirals (NSH)	LW/RW	27	1998-07-07	USA	No	216 Lbs	6 ft3	No	No	Free Agent		No	No	1	2025-09-30	False	False	Pro & Farm	900,000$	275,625$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Nate Danielson	Milwaukee Admirals (NSH)	C/RW	20	2004-09-27	AB	Yes	190 Lbs	6 ft1	No	No	Prospect		No	No	10	2025-07-15	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No	Link
Nathan Gaucher	Milwaukee Admirals (NSH)	C/RW	21	2003-11-06	CAN	No	222 Lbs	6 ft3	No	No	N/A		No	No	8		False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	No	No	No	No	No	No	No	-	-	Link
Nick Capone	Milwaukee Admirals (NSH)	C/RW	24	2000-07-15	USA	Yes	216 Lbs	6 ft2	No	No	Prospect		No	No	10	2025-07-15	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No
Parker Bell	Milwaukee Admirals (NSH)	LW/RW	21	2003-09-26	CAN	Yes	210 Lbs	6 ft5	No	No	Prospect		No	No	10	2025-07-15	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No	Link
Quinn Olson	Milwaukee Admirals (NSH)	C/LW	24	2001-05-09	CAN	Yes	180 Lbs	6 ft0	No	No	Prospect		No	No	10	2025-07-15	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No	Link
Rasmus Asplund	Milwaukee Admirals (NSH)	C/LW/RW	27	1998-07-07	SWE	No	190 Lbs	5 ft11	No	No	Free Agent		No	No	1	2025-10-04	False	False	Pro & Farm	800,000$	245,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Jones	Milwaukee Admirals (NSH)	D	29	1996-05-26	ON	No	208 Lbs	6 ft4	No	No	N/A		No	No	8		False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	-	No	No	No	No	No	No	No	-	-	Link / NHL Link
Sam Lafferty	Milwaukee Admirals (NSH)	C/LW/RW	30	1995-03-06	USA	No	205 Lbs	6 ft2	No	No	Free Agent	2024-11-21	No	No	1	2024-12-11	False	False	Pro & Farm	1,200,000$	367,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Samuel Savoie	Milwaukee Admirals (NSH)	C/LW	21	2004-03-25	CAN	Yes	190 Lbs	5 ft10	No	No	Prospect		No	No	10	2025-07-15	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	No	No	No	No	No	No	No	No	No	Link
Ty Nelson	Milwaukee Admirals (NSH)	D	21	2004-03-30	CAN	Yes	198 Lbs	5 ft10	No	No	Prospect		No	No	9	2025-02-01	False	False	Farm Only	100,000$	30,625$	0$	0$	No	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	-	No	No	No	No	No	No	No	No	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
29	23.93	195 Lbs	6 ft2	6.00	386,207$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jakob Pelletier	Max Jones	Sam Lafferty	32	1	2	2
2	Gage Goncalves	Nate Danielson	Judd Caulfield	32	1	2	2
3	Rasmus Asplund	Axel Jonsson-Fjallby	Nathan Gaucher	29	1	2	2
4	Jakob Pelletier	Rasmus Asplund	Max Jones	7	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Nelson	Ryan Jones	40	1	2	2
2	Joseph Cecconi	Jake Livingstone	35	1	2	2
3	Ty Nelson	Jack Rathbone	25	1	2	2
4	Ty Nelson	Jack Rathbone	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Gage Goncalves	Jakob Pelletier	Sam Lafferty	60	1	2	2
2	Max Jones	Nathan Gaucher	Judd Caulfield	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Nelson	Jake Livingstone	60	1	2	2
2	Ryan Jones	Jack Rathbone	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sam Lafferty	Jakob Pelletier	60	1	2	2
2	Gage Goncalves	Judd Caulfield	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Nelson	Ryan Jones	60	1	2	2
2	Joseph Cecconi	Jake Livingstone	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Sam Lafferty	60	1	2	2	Ty Nelson	Ryan Jones	60	1	2	2
2	Jakob Pelletier	40	1	2	2	Joseph Cecconi	Jake Livingstone	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Gage Goncalves	Jakob Pelletier	60	1	2	2
2	Sam Lafferty	Judd Caulfield	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Nelson	Jake Livingstone	60	1	2	2
2	Joseph Cecconi	Jack Rathbone	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jakob Pelletier	Gage Goncalves	Sam Lafferty	Ty Nelson	Jake Livingstone

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jakob Pelletier	Gage Goncalves	Sam Lafferty	Ty Nelson	Jake Livingstone

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nathan Gaucher, Jakob Pelletier, Sam Lafferty	Nathan Gaucher, Sam Lafferty	Sam Lafferty

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Joseph Cecconi, Ty Nelson, Jake Livingstone	Joseph Cecconi	Ty Nelson, Jake Livingstone

Penalty Shots
Gage Goncalves, Jakob Pelletier, Sam Lafferty, Judd Caulfield, Max Jones

Goalie
#1 : Jesper Vikman, #2 : Akira Schmid

Custom OT Lines Forwards
Sam Lafferty, Jakob Pelletier, Jakub Demek, Gage Goncalves, Rasmus Asplund, Axel Jonsson-Fjallby, Nathan Gaucher, Judd Caulfield, Max Jones, Nate Danielson

Custom OT Lines Defensemen
Ryan Jones, Jack Rathbone, Jake Livingstone, Joseph Cecconi, Ty Nelson

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	3	1	2	0	0	0	0	0	6	7	-1	2	1	1	0	0	0	0	0	3	3	0	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	6	11	17	0	1	48	49	49	5	95	518	576	521	23	88	22	24	56	14	3	21.43%	12	1	91.67%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
2	Bakersfield Condors	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	6	9	1	0	48	49	49	5	63	518	576	521	23	62	14	25	53	5	0	0.00%	9	0	100.00%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
3	Belleville Senators	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	7	11	0	0	48	49	49	5	29	518	576	521	23	49	14	17	28	4	0	0.00%	6	1	83.33%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
4	Bridgeport Islanders	2	1	1	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	8	13	0	0	48	49	49	5	60	518	576	521	23	61	30	12	44	11	2	18.18%	6	1	83.33%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
5	Calgary Wranglers	2	1	1	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	7	11	18	0	0	48	49	49	5	69	518	576	521	23	46	17	19	52	11	1	9.09%	6	1	83.33%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
6	Charlotte Checkers	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	6	9	1	0	48	49	49	5	26	518	576	521	23	37	6	4	25	6	1	16.67%	2	0	100.00%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
7	Chicago Wolves	2	1	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	1	0	1	2	0.500	2	3	5	0	1	48	49	49	5	54	518	576	521	23	44	13	30	44	3	0	0.00%	15	0	100.00%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
8	Cleveland Monsters	2	0	1	0	0	0	1	0	6	11	-5	1	0	1	0	0	0	0	0	1	7	-6	1	0	0	0	0	0	1	0	5	4	1	2	0.500	6	10	16	0	0	48	49	49	5	65	518	576	521	23	60	19	14	40	14	3	21.43%	7	2	71.43%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
9	Coachella Valley Firebirds	3	2	1	0	0	0	0	0	13	11	2	1	0	1	0	0	0	0	0	1	6	-5	2	2	0	0	0	0	0	0	12	5	7	4	0.667	13	23	36	0	0	48	49	49	5	85	518	576	521	23	93	25	41	60	16	2	12.50%	17	5	70.59%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
10	Colorado Eagles	3	0	2	0	1	0	0	0	8	12	-4	2	0	1	0	1	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	8	15	23	1	0	48	49	49	5	70	518	576	521	23	87	33	28	69	10	2	20.00%	14	3	78.57%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
11	Grand Rapids Griffins	2	1	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	0	5	-5	2	0.500	4	7	11	0	0	48	49	49	5	50	518	576	521	23	65	17	16	36	3	0	0.00%	8	1	87.50%	1	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
12	Hartford Wolf Pack	2	0	1	0	0	1	0	0	1	3	-2	1	0	1	0	0	0	0	0	0	1	-1	1	0	0	0	0	1	0	0	1	2	-1	1	0.250	1	2	3	0	0	48	49	49	5	63	518	576	521	23	64	16	16	48	9	1	11.11%	8	0	100.00%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
13	Henderson Silver Knights	2	2	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	5	9	14	0	1	48	49	49	5	64	518	576	521	23	44	15	12	37	11	1	9.09%	5	0	100.00%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
14	Hershey Bears	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	48	49	49	5	17	518	576	521	23	33	5	8	25	3	0	0.00%	4	1	75.00%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
15	Iowa Wild	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	48	49	49	5	31	518	576	521	23	31	10	12	31	4	2	50.00%	5	0	100.00%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
16	Laval Rocket	2	0	1	0	1	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	1	0	0	0	4	3	1	2	0.500	6	11	17	0	0	48	49	49	5	54	518	576	521	23	61	16	14	58	9	2	22.22%	7	2	71.43%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
17	Manitoba Moose	3	2	1	0	0	0	0	0	12	13	-1	2	2	0	0	0	0	0	0	9	6	3	1	0	1	0	0	0	0	0	3	7	-4	4	0.667	12	22	34	0	0	48	49	49	5	85	518	576	521	23	87	30	12	69	9	2	22.22%	6	2	66.67%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
18	Ontario Reign	2	1	0	0	0	0	0	1	6	6	0	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	0	0	1	4	5	-1	3	0.750	6	10	16	0	0	48	49	49	5	58	518	576	521	23	56	21	24	53	7	2	28.57%	10	2	80.00%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
19	Providence Bruins	2	0	2	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	1	1	2	0	0	48	49	49	5	54	518	576	521	23	68	21	29	44	10	1	10.00%	11	1	90.91%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
20	Rochester Americans	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	1	0	48	49	49	5	29	518	576	521	23	35	8	8	21	3	1	33.33%	4	0	100.00%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
21	Rockford IceHogs	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	48	49	49	5	53	518	576	521	23	77	14	22	51	1	1	100.00%	9	1	88.89%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
22	San Diego Gulls	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	48	49	49	5	25	518	576	521	23	31	5	2	33	3	0	0.00%	0	0	0%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
23	San Jose Barracuda	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	6	11	17	0	0	48	49	49	5	47	518	576	521	23	58	12	16	41	3	0	0.00%	8	1	87.50%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
24	Springfield Thunderbirds	2	1	1	0	0	0	0	0	6	6	0	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	6	6	0	2	0.500	6	12	18	0	0	48	49	49	5	56	518	576	521	23	64	15	18	37	4	1	25.00%	9	2	77.78%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
25	Syracuse Crunch	2	1	1	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	4	0	4	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	13	20	0	1	48	49	49	5	55	518	576	521	23	72	20	29	61	2	0	0.00%	11	1	90.91%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
26	Texas Stars	4	2	2	0	0	0	0	0	13	12	1	2	1	1	0	0	0	0	0	6	5	1	2	1	1	0	0	0	0	0	7	7	0	4	0.500	13	23	36	0	1	48	49	49	5	123	518	576	521	23	129	33	33	93	24	4	16.67%	14	2	85.71%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
27	Toronto Marlies	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	2	5	0	0	48	49	49	5	35	518	576	521	23	37	9	6	23	5	0	0.00%	3	1	66.67%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
28	Tucson Roadrunners	2	0	1	0	0	1	0	0	5	9	-4	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	6	-3	1	0.250	5	10	15	0	0	48	49	49	5	61	518	576	521	23	46	20	16	49	9	0	0.00%	8	2	75.00%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
29	Utica Comets	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	5	4	1	2	0.500	6	12	18	0	0	48	49	49	5	54	518	576	521	23	51	15	18	41	8	1	12.50%	9	2	77.78%	1	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
	Total	57	18	32	0	2	2	2	1	150	182	-32	27	10	15	0	1	1	0	0	59	75	-16	30	8	17	0	1	1	2	1	91	107	-16	47	0.412	150	267	417	4	5	48	49	49	5	1630	518	576	521	23	1736	495	525	1322	221	33	14.93%	233	35	84.98%	2	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
	_Since Last GM Reset	57	18	32	0	2	2	2	1	150	182	-32	27	10	15	0	1	1	0	0	59	75	-16	30	8	17	0	1	1	2	1	91	107	-16	47	0.412	150	267	417	4	5	48	49	49	5	1630	518	576	521	23	1736	495	525	1322	221	33	14.93%	233	35	84.98%	2	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
	_Vs Conference	34	13	18	0	1	1	0	1	96	108	-12	17	8	7	0	1	1	0	0	41	44	-3	17	5	11	0	0	0	0	1	55	64	-9	30	0.441	96	174	270	2	3	48	49	49	5	985	518	576	521	23	999	286	304	784	131	21	16.03%	132	22	83.33%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366
	_Vs Division	17	5	10	0	1	1	0	0	46	46	0	9	3	3	0	1	1	0	0	18	20	-2	8	2	7	0	0	0	0	0	28	26	2	13	0.382	46	81	127	1	2	48	49	49	5	506	518	576	521	23	478	131	163	385	70	9	12.86%	67	10	85.07%	0	917	1918	47.81%	977	2015	48.49%	433	890	48.65%	1306	877	1384	434	749	366

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
57	47	L2	150	267	417	1630	1736	495	525	1322	4	5

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
57	18	32	2	2	2	1	150	182

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	10	15	1	1	0	0	59	75

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	8	17	1	1	2	1	91	107

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	5	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
221	33	14.93%	233	35	84.98%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
518	576	521	23	48	49	49	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
917	1918	47.81%	977	2015	48.49%	433	890	48.65%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1306	877	1384	434	749	366

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
2	18	Coachella Valley Firebirds	6	Milwaukee Admirals	1	L			Box score
3	24	Chicago Wolves	4	Milwaukee Admirals	1	L			Box score
5	38	Milwaukee Admirals	4	Ontario Reign	5	L	X	X	Box score
8	66	Milwaukee Admirals	3	Manitoba Moose	7	L			Box score
9	72	Milwaukee Admirals	3	Iowa Wild	4	L			Box score
11	89	Hartford Wolf Pack	1	Milwaukee Admirals	0	L			Box score
14	111	Bridgeport Islanders	2	Milwaukee Admirals	1	L			Box score
16	129	Milwaukee Admirals	3	Calgary Wranglers	4	L			Box score
17	137	Bakersfield Condors	3	Milwaukee Admirals	2	L			Box score
19	154	Milwaukee Admirals	3	Abbotsford Canucks	4	L			Box score
22	180	Milwaukee Admirals	4	Texas Stars	2	W			Box score
23	190	Milwaukee Admirals	1	Springfield Thunderbirds	4	L			Box score
25	206	Tucson Roadrunners	3	Milwaukee Admirals	2	L	X		Box score
27	216	Milwaukee Admirals	3	Toronto Marlies	2	W	X	X	Box score
30	241	Milwaukee Admirals	4	Belleville Senators	5	L			Box score
31	250	Milwaukee Admirals	4	Laval Rocket	3	W	X		Box score
33	267	San Diego Gulls	4	Milwaukee Admirals	0	L			Box score
35	282	Milwaukee Admirals	3	Henderson Silver Knights	1	W			Box score
36	291	Utica Comets	3	Milwaukee Admirals	1	L			Box score
38	303	Milwaukee Admirals	2	Colorado Eagles	4	L			Box score
40	325	Cleveland Monsters	7	Milwaukee Admirals	1	L			Box score
42	341	Providence Bruins	2	Milwaukee Admirals	1	L			Box score
44	357	Laval Rocket	5	Milwaukee Admirals	2	L			Box score
45	362	Milwaukee Admirals	3	Texas Stars	5	L			Box score
47	377	Milwaukee Admirals	0	Grand Rapids Griffins	5	L			Box score
49	393	Milwaukee Admirals	4	Bridgeport Islanders	2	W			Box score
50	403	Milwaukee Admirals	5	Utica Comets	4	W			Box score
52	420	Milwaukee Admirals	1	Hartford Wolf Pack	2	L	X		Box score
54	439	Calgary Wranglers	1	Milwaukee Admirals	4	W			Box score
56	455	Colorado Eagles	3	Milwaukee Admirals	4	W	X		Box score
57	465	Milwaukee Admirals	3	Rockford IceHogs	4	L			Box score
59	480	Milwaukee Admirals	1	Chicago Wolves	0	W			Box score
61	497	Manitoba Moose	5	Milwaukee Admirals	6	W			Box score
63	510	Milwaukee Admirals	3	Charlotte Checkers	5	L			Box score
66	537	Milwaukee Admirals	3	Hershey Bears	4	L			Box score
68	551	Milwaukee Admirals	5	Cleveland Monsters	4	W	X	X	Box score
69	564	Rockford IceHogs	2	Milwaukee Admirals	0	L			Box score
72	587	Henderson Silver Knights	0	Milwaukee Admirals	2	W			Box score
73	597	Ontario Reign	1	Milwaukee Admirals	2	W			Box score
75	612	Milwaukee Admirals	3	Tucson Roadrunners	6	L			Box score
78	633	Colorado Eagles	5	Milwaukee Admirals	2	L			Box score
79	646	Rochester Americans	5	Milwaukee Admirals	3	L			Box score
81	655	Milwaukee Admirals	0	Providence Bruins	2	L			Box score
83	681	Milwaukee Admirals	5	Springfield Thunderbirds	2	W			Box score
84	688	Abbotsford Canucks	0	Milwaukee Admirals	3	W			Box score
86	702	Manitoba Moose	1	Milwaukee Admirals	3	W			Box score
88	721	Grand Rapids Griffins	2	Milwaukee Admirals	4	W			Box score
91	746	Milwaukee Admirals	5	Coachella Valley Firebirds	1	W			Box score
93	762	Milwaukee Admirals	1	Bakersfield Condors	3	L			Box score
96	787	Milwaukee Admirals	3	Syracuse Crunch	5	L			Box score
98	800	Abbotsford Canucks	3	Milwaukee Admirals	0	L			Box score
101	817	Texas Stars	0	Milwaukee Admirals	3	W			Box score
102	828	Syracuse Crunch	0	Milwaukee Admirals	4	W			Box score
105	857	Milwaukee Admirals	7	Coachella Valley Firebirds	4	W			Box score
106	863	San Jose Barracuda	2	Milwaukee Admirals	4	W			Box score
108	882	Milwaukee Admirals	2	San Jose Barracuda	4	L			Box score
110	897	Texas Stars	5	Milwaukee Admirals	3	L			Box score
112	914	San Diego Gulls	-	Milwaukee Admirals	-
114	922	Springfield Thunderbirds	-	Milwaukee Admirals	-
115	934	Milwaukee Admirals	-	Iowa Wild	-
117	948	W-B/Scranton Penguins	-	Milwaukee Admirals	-
120	977	Toronto Marlies	-	Milwaukee Admirals	-
Trade Deadline --- Trades can’t be done after this day is simulated!
122	993	Milwaukee Admirals	-	San Diego Gulls	-
123	1003	Milwaukee Admirals	-	Ontario Reign	-
125	1018	Milwaukee Admirals	-	Henderson Silver Knights	-
128	1042	Lehigh Valley Phantoms	-	Milwaukee Admirals	-
130	1058	Belleville Senators	-	Milwaukee Admirals	-
133	1078	Milwaukee Admirals	-	Rochester Americans	-
134	1092	Hershey Bears	-	Milwaukee Admirals	-
137	1119	Iowa Wild	-	Milwaukee Admirals	-
138	1126	Charlotte Checkers	-	Milwaukee Admirals	-
140	1137	Milwaukee Admirals	-	Rockford IceHogs	-
142	1154	Milwaukee Admirals	-	W-B/Scranton Penguins	-
143	1166	Milwaukee Admirals	-	Bakersfield Condors	-
145	1183	San Jose Barracuda	-	Milwaukee Admirals	-
147	1194	Rockford IceHogs	-	Milwaukee Admirals	-
148	1206	Springfield Thunderbirds	-	Milwaukee Admirals	-
153	1242	Milwaukee Admirals	-	Lehigh Valley Phantoms	-
155	1266	Iowa Wild	-	Milwaukee Admirals	-
157	1278	Calgary Wranglers	-	Milwaukee Admirals	-
159	1296	Milwaukee Admirals	-	Colorado Eagles	-
160	1312	Milwaukee Admirals	-	Tucson Roadrunners	-

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	Capacity	Team Popularity
14	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
771,500$	1,120,000$	1,120,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
7,000$	771,500$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	49	7,000$	343,000$

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: 57 \| W: 22 \| L: 32 \| OTL: 3 \| P: 47 GF: 150 \| GA: 182 \| PP%: 14.93% \| PK%: 84.98% GM : Tomas Stryja \| Morale : 50 \| Team Overall : 56 Next Games #914 vs San Diego Gulls