PENSACOLA BADGERS
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	PHILADELPHIA PHANTOMS 12-5-0, 24pts	4	Box score	3	PENSACOLA BLACK BEARS 1-4-0, 2pts

Team Stats
W2	Streak	L2
7-2-0	Home Record	1-1-0
5-3-0	Home Record	0-3-0
7-2-1	Last 10 Games	1-4-0
4.12	Goals Per Game	2.60
2.82	Goals Against Per Game	3.80
21.88%	Power Play Percentage	0.00%
82.35%	Penalty Kill Percentage	100.00%

PENSACOLA BLACK BEARS
1-4-0, 2pts

Box score

PHILADELPHIA PHANTOMS
12-5-0, 24pts

Team Stats
L2	Streak	W2
1-1-0	Home Record	7-2-0
0-3-0	Home Record	5-3-0
1-4-0	Last 10 Games	7-2-1
2.60	Goals Per Game	4.12
3.80	Goals Against Per Game	2.82
0.00%	Power Play Percentage	21.88%
100.00%	Penalty Kill Percentage	82.35%

Team Leaders
Goals Konstantin Zakharov 3			Assists Emerson Etem 5

Points Emerson Etem 7			Plus/Minus Chris Butler 6

Wins Tyler Parsons 1			Save Percentage Tyler Parsons 0.901

Team Stats
Goals For 13 2.60 GFG	Shots For 115 23.00 Avg	Power Play Percentage 0.0% 0 GF	Offensive Zone Start 33.1%
Goals Against 19 3.80 GAA	Shots Against 182 36.40 Avg	Penalty Kill Percentage 100.0%% 0 GA	Defensive Zone Start 37.9%

Team Info
	General Manager	Rob F
	Coach	Ryan Huska
	Division	Adams
	Conference	Neid Conference
	Captain
	Assistant #1	Konstantin Zakharov
	Assistant #2	Patrik Berglund
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	32
	Farm Team	20
	Contract Limit	52 / 66
	Prospects	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	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	Konstantin Zakharov (A)	X	X			100.00	63	74	62	70	75	77	71	89	59	90	77	57	64	99	92	0	77	74	2	40	1	850,000$
2	Bryce Swan	X				100.00	99	99	1	67	74	56	79	86	59	85	86	51	65	99	99	0	65	73	2	39	6	1,544,725$
3	Nolan Foote (R)		X			100.00	85	54	66	88	87	90	86	66	61	74	66	64	66	89	84	0	76	72	1	25	1	650,000$
4	Patrik Berglund (A)	X		X		100.00	6	1	99	58	82	83	87	77	83	77	70	84	78	99	99	0	78	72	2	37	1	2,200,000$
5	Emerson Etem			X		100.00	1	1	99	62	76	74	78	91	52	76	80	71	52	99	99	0	77	72	2	33	3	1,164,200$
6	Dylan Sikura	X	X	X		100.00	27	1	99	67	72	91	75	78	77	76	77	66	60	90	73	0	77	70	2	30	1	925,000$
7	Daniil But (R)		X			100.00	61	9	96	67	79	67	77	59	45	59	58	64	54	62	79	0	77	62	1	21	2	800,000$
8	Marat Khusnutdinov (R)	X				100.00	1	1	99	77	71	79	77	64	67	59	58	59	60	79	76	0	62	62	2	23	4	700,000$
9	Gracyn Sawchyn (R)	X				100.00	47	17	73	71	72	71	68	60	66	62	59	63	58	63	65	0	77	62	2	21	2	800,000$
10	Michael Hage (R)	X				100.00	47	55	71	67	68	71	70	62	62	60	58	65	58	64	59	0	77	61	1	20	3	900,000$
11	Aleksanteri Kaskimaki (R)	X				100.00	1	1	93	70	73	64	70	59	63	54	52	62	48	63	68	0	34	57	2	21	1	500,000$
12	Anthony Romani (R)	X				100.00	14	12	92	62	63	62	65	57	54	57	56	54	52	59	61	0	19	56	0	20	3	600,000$
13	Vince Dunn				X	100.00	77	88	47	71	78	95	98	77	44	80	63	74	33	97	88	0	67	75	2	29	4	700,000$
14	JJ Moser				X	100.00	55	8	85	92	88	88	84	69	44	75	68	66	44	89	76	0	78	73	2	25	3	1,200,000$
15	Chris Butler				X	100.00	1	1	99	62	76	73	78	99	55	94	89	60	59	99	99	0	63	71	0	39	1	1,228,750$
16	Andrew Peeke				X	100.00	90	84	56	76	78	77	89	61	34	51	55	63	44	89	73	0	77	69	2	27	1	600,000$
17	Stian Solberg (R)				X	100.00	47	16	63	67	65	70	68	57	44	59	57	67	47	63	60	0	53	61	1	20	3	900,000$
18	E. J. Emery (R)				X	100.00	44	35	63	67	70	72	70	62	44	60	56	62	55	58	63	0	71	61	1	20	3	800,000$
19	Adam Engström (R)				X	100.00	7	1	99	69	75	62	72	60	44	56	54	61	54	66	69	0	77	59	2	22	1	600,000$
Scratches
1	Julien Gauthier			X		100.00	75	80	30	72	83	93	82	62	51	60	52	53	58	98	78	0	62	64	1	28	1	600,000$
2	Christian Fischer			X		100.00	1	1	99	61	82	80	86	64	40	63	65	63	59	89	85	0	19	64	2	29	1	600,000$
3	David Gustafsson	X				100.00	28	11	93	71	76	74	73	65	56	57	59	58	55	83	74	0	19	62	2	26	1	600,000$
4	Jordan Dumais (R)			X		100.00	1	1	97	71	69	65	66	58	48	60	60	58	57	62	68	0	26	59	2	22	1	700,000$
5	Gavin Hayes (R)		X			100.00	18	6	89	72	74	68	73	54	54	59	55	60	56	69	68	0	20	59	2	21	1	700,000$
6	Michal Teplý (R)		X			100.00	3	5	95	74	74	57	60	60	47	60	57	49	45	60	67	0	20	57	2	24	1	600,000$
7	Reece Newkirk (R)	X				100.00	16	4	76	65	73	60	64	50	67	51	52	56	59	75	62	0	20	55	2	25	1	640,000$
8	Mike Matheson				X	100.00	8	1	99	66	76	67	74	67	38	65	50	75	41	82	84	0	18	64	2	32	3	811,000$
9	Rodwin Dionicio (R)				X	100.00	37	47	84	67	66	60	66	62	44	62	56	61	48	70	59	0	20	59	2	22	2	600,000$

	TEAM AVERAGE					100.00	34	26	79	70	75	73	75	67	54	66	62	62	55	79	76	0	54	64

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	Tyler Parsons	100.00	69	58	60	75	68	71	80	86	80	57	62	76	84	0	79	72	2	28	2	843,750$
2	Sergei Murashov (R)	100.00	73	67	63	72	69	64	59	60	62	64	57	63	66	0	78	64	2	22	3	700,000$
Scratches
1	Hampton Slukynsky (R)	100.00	70	63	62	76	64	67	64	63	65	64	59	61	63	0	56	64	2	20	2	600,000$
2	Karel Vejmelka	100.00	59	62	62	84	64	46	54	54	59	60	56	74	69	0	52	61	2	29	1	594,000$

	TEAM AVERAGE	100.00	68	63	62	77	66	62	64	66	67	61	59	69	71	0	66	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ryan Huska	85	85	70	65	65	70	70	CAN	49	3	875,000$

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	PPM	PKS	PKM	GW	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	Emerson Etem	PENSACOLA BLACK BEARS (PEN)	RW	5	2	5	7	1	0	0	8	21	1	14	9.52%	2	106	21.23	3	0	3	0	28.57%	7	0	0	1.32	0	1	0
2	Konstantin Zakharov	PENSACOLA BLACK BEARS (PEN)	C/LW	5	3	3	6	-1	2	20	8	17	8	12	17.65%	1	124	24.95	4	0	2	0	33.33%	6	4	5	0.96	1	0	0
3	Patrik Berglund	PENSACOLA BLACK BEARS (PEN)	C/RW	5	2	3	5	-1	0	0	5	4	2	3	50.00%	2	122	24.57	4	0	3	1	56.67%	120	1	3	0.81	0	0	1
4	Chris Butler	PENSACOLA BLACK BEARS (PEN)	D	5	1	3	4	6	0	0	4	8	2	4	12.50%	5	98	19.78	2	0	0	0	0%	0	1	0	0.81	0	0	0
5	Aatu Räty	PENSACOLA BADGERS	C	5	3	1	4	-3	0	0	12	18	1	16	16.67%	3	103	20.80	4	0	3	0	60.71%	84	3	2	0.77	0	0	0
6	Nolan Foote	PENSACOLA BLACK BEARS (PEN)	LW	3	1	2	3	-1	2	10	8	7	3	10	14.29%	1	60	20.22	1	0	0	0	0%	1	6	1	0.99	0	0	0
7	Gracyn Sawchyn	PENSACOLA BLACK BEARS (PEN)	C	5	0	2	2	-2	0	4	3	3	2	7	0%	1	90	18.19	3	0	0	0	60.00%	10	0	0	0.44	0	0	0
8	Braden Schneider	PENSACOLA BADGERS	D	1	0	1	1	-3	0	4	2	0	0	0	0%	2	27	27.18	2	0	0	0	0%	0	2	0	0.74	0	0	0
9	Dylan Sikura	PENSACOLA BLACK BEARS (PEN)	C/LW/RW	5	0	1	1	0	0	0	10	5	0	1	0%	1	63	12.79	2	0	1	0	51.85%	27	2	3	0.31	0	0	0
10	JJ Moser	PENSACOLA BLACK BEARS (PEN)	D	5	1	0	1	-5	4	5	4	10	4	3	10.00%	6	110	22.13	3	0	2	0	0%	0	2	2	0.18	0	0	0
11	Emmitt Finnie	PENSACOLA BADGERS	C	5	0	1	1	0	0	1	6	1	1	4	0%	1	82	16.51	0	0	0	0	41.67%	12	0	0	0.24	0	0	0
12	Tom Willander	PENSACOLA BADGERS	D	5	0	0	0	4	0	4	10	5	1	2	0%	9	92	18.41	2	0	0	0	0%	0	2	2	0	0	0	0
13	Daniil But	PENSACOLA BLACK BEARS (PEN)	LW	5	0	0	0	0	0	2	0	0	0	1	0%	0	12	2.52	0	0	1	0	0%	0	0	0	0	0	0	0
14	Kaiden Guhle	PENSACOLA BADGERS	D	5	0	0	0	-10	0	15	9	6	1	1	0%	15	114	22.98	4	1	4	0	0%	0	2	4	0	0	0	0
15	Michael Hage	PENSACOLA BLACK BEARS (PEN)	C	5	0	0	0	-5	0	6	9	1	0	1	0%	5	59	11.88	0	0	0	0	38.10%	21	1	0	0	0	0	0
16	Stian Solberg	PENSACOLA BLACK BEARS (PEN)	D	5	0	0	0	0	0	5	4	0	0	0	0%	3	40	8.18	0	0	2	0	0%	0	0	0	0	0	0	0
17	Julien Gauthier	PENSACOLA BLACK BEARS (PEN)	RW	4	0	0	0	-3	0	6	3	3	2	4	0%	0	34	8.63	0	0	0	0	50.00%	2	1	0	0	0	0	0
18	Christian Fischer	PENSACOLA BLACK BEARS (PEN)	RW	2	0	0	0	-3	0	0	1	4	1	2	0%	0	28	14.35	0	0	0	0	0%	0	0	0	0	0	0	0
19	E. J. Emery	PENSACOLA BLACK BEARS (PEN)	D	4	0	0	0	-2	0	0	1	0	0	2	0%	0	30	7.70	0	0	1	0	0%	0	0	0	0	0	0	0
20	Andrew Peeke	PENSACOLA BLACK BEARS (PEN)	D	5	0	0	0	-2	0	5	2	1	0	0	0%	1	45	9.07	0	0	2	0	0%	0	0	2	0	0	0	0
21	Adam Engström	PENSACOLA BLACK BEARS (PEN)	D	5	0	0	0	0	0	0	1	1	0	0	0%	1	40	8.04	0	0	1	0	0%	0	0	1	0	0	0	0
Team Total or Average				94	13	22	35	-30	8	87	110	115	29	87	11.30%	59	1492	15.87	39	1	31	1	54.14%	290	27	25	0.47	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	Tyler Parsons	PENSACOLA BLACK BEARS (PEN)	5	1	4	0	0.901	3.62	298	0	0	18	181	94	1	1	0	0	5	0	0	0	0
Team Total or Average			5	1	4	0	0.901	3.62	298	0	0	18	181	94	1	1		0	5	0	0	0	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 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
Adam Engström	PENSACOLA BLACK BEARS (PEN)	D	22	2003-11-17	SWE	Yes	194 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	600,000$	85,714$	60,000$	8,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Aleksanteri Kaskimaki	PENSACOLA BLACK BEARS (PEN)	C	21	2004-06-01	FIN	Yes	186 Lbs	6 ft1	No	No	Trade	2025-02-27	No	No	1	2024-06-20	False	False	Pro & Farm	500,000$	71,429$	50,000$	7,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Andrew Peeke	PENSACOLA BLACK BEARS (PEN)	D	27	1998-06-01	USA	No	217 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-09-23	False	False	Pro & Farm	600,000$	85,714$	60,000$	8,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Anthony Romani	PENSACOLA BLACK BEARS (PEN)	C	20	2005-07-12	CAN	Yes	179 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2025-07-20	False	False	Pro & Farm	600,000$	85,714$	60,000$	8,571$	No	600,000$	600,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Bryce Swan	PENSACOLA BLACK BEARS (PEN)	C	39	1986-08-12	CAN	No	193 Lbs	6 ft0	No	No	N/A		No	No	6	2026-03-02	False	False	Pro & Farm	1,544,725$	220,675$	154,472$	22,067$	No	1,544,725$	1,544,725$	1,544,725$	1,544,725$	1,544,725$	-	-	-	-	40,000$	40,000$	40,000$	40,000$	40,000$	-	-	-	-	No	No	No	No	No	-	-	-	-
Chris Butler	PENSACOLA BLACK BEARS (PEN)	D	39	1986-10-27	USA	No	210 Lbs	6 ft1	No	No	N/A		No	No	1	2025-02-25	False	False	Pro & Farm	1,228,750$	175,536$	122,875$	17,554$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Christian Fischer	PENSACOLA BLACK BEARS (PEN)	RW	29	1997-04-15	USA	No	236 Lbs	6 ft4	No	No	Assign Manually		No	No	1	2025-09-23	False	False	Pro & Farm	600,000$	85,714$	60,000$	8,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Daniil But	PENSACOLA BLACK BEARS (PEN)	LW	21	2005-02-15	RUS	Yes	209 Lbs	6 ft7	No	No	Trade	2025-07-06	No	No	2	2024-07-04	False	False	Pro & Farm	800,000$	114,286$	80,000$	11,429$	No	800,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
David Gustafsson	PENSACOLA BLACK BEARS (PEN)	C	26	2000-04-11	SWE	No	207 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-09-23	False	False	Pro & Farm	600,000$	85,714$	60,000$	8,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dylan Sikura	PENSACOLA BLACK BEARS (PEN)	C/LW/RW	30	1995-06-01	CAN	No	187 Lbs	5 ft11	No	No	Trade	2025-11-18	No	No	1		False	False	Pro & Farm	925,000$	132,143$	92,500$	13,214$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
E. J. Emery	PENSACOLA BLACK BEARS (PEN)	D	20	2006-03-30	CAN	Yes	185 Lbs	6 ft3	No	No	Assign Manually		No	No	3	2025-07-14	False	False	Pro & Farm	800,000$	114,286$	80,000$	11,429$	No	800,000$	800,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Emerson Etem	PENSACOLA BLACK BEARS (PEN)	RW	33	1992-06-30	CZE	No	205 Lbs	6 ft1	No	No	N/A		No	No	3	2026-04-04	False	False	Pro & Farm	1,164,200$	166,314$	116,420$	16,631$	No	1,164,200$	1,164,200$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Gavin Hayes	PENSACOLA BLACK BEARS (PEN)	LW	21	2004-06-01	USA	Yes	191 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	700,000$	100,000$	70,000$	10,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Gracyn Sawchyn	PENSACOLA BLACK BEARS (PEN)	C	21	2005-01-19	CAN	Yes	184 Lbs	6 ft2	No	No	Trade	2025-11-18	No	No	2	2024-07-04	False	False	Pro & Farm	800,000$	114,286$	80,000$	11,429$	No	800,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Hampton Slukynsky	PENSACOLA BLACK BEARS (PEN)	G	20	2005-07-02	USA	Yes	189 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2024-07-08	False	False	Pro & Farm	600,000$	85,714$	60,000$	8,571$	No	600,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
JJ Moser	PENSACOLA BLACK BEARS (PEN)	D	25	2000-06-06	SWI	No	184 Lbs	6 ft1	No	No	Trade	2025-07-06	No	No	3	2025-06-13	False	False	Pro & Farm	1,200,000$	171,429$	120,000$	17,143$	No	1,200,000$	1,200,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Jordan Dumais	PENSACOLA BLACK BEARS (PEN)	RW	22	2004-04-15	CAN	Yes	176 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	700,000$	100,000$	70,000$	10,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Julien Gauthier	PENSACOLA BLACK BEARS (PEN)	RW	28	1997-10-15	CAN	No	240 Lbs	6 ft4	No	No	Assign Manually		No	No	1	2025-09-23	False	False	Pro & Farm	600,000$	85,714$	60,000$	8,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Karel Vejmelka	PENSACOLA BLACK BEARS (PEN)	G	29	1996-05-25	CZE	No	229 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	594,000$	84,857$	59,400$	8,486$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Konstantin Zakharov	PENSACOLA BLACK BEARS (PEN)	C/LW	40	1985-08-12	RUS	No	197 Lbs	6 ft0	No	No	N/A		No	No	1	2026-04-08	False	False	Pro & Farm	850,000$	121,429$	85,000$	12,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Marat Khusnutdinov	PENSACOLA BLACK BEARS (PEN)	C	23	2002-07-17	RUS	Yes	181 Lbs	5 ft10	No	No	N/A		No	No	4	2024-06-03	False	False	Pro & Farm	700,000$	100,000$	70,000$	10,000$	No	700,000$	700,000$	700,000$	-	-	-	-	-	-	40,000$	40,000$	40,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Michael Hage	PENSACOLA BLACK BEARS (PEN)	C	20	2006-04-14	CAN	Yes	187 Lbs	6 ft1	No	No	Trade	2026-03-05	No	No	3	2025-07-12	False	False	Pro & Farm	900,000$	128,571$	90,000$	12,857$	No	900,000$	900,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Michal Teplý	PENSACOLA BLACK BEARS (PEN)	LW	24	2001-05-27	CZE	Yes	179 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	600,000$	85,714$	60,000$	8,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Mike Matheson	PENSACOLA BLACK BEARS (PEN)	D	32	1994-02-27	CAN	No	204 Lbs	6 ft3	No	No	Trade	2025-02-27	No	No	3		False	False	Pro & Farm	811,000$	115,857$	81,100$	11,586$	No	811,000$	811,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Nolan Foote	PENSACOLA BLACK BEARS (PEN)	LW	25	2000-11-29	USA	Yes	202 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	650,000$	92,857$	65,000$	9,286$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Patrik Berglund	PENSACOLA BLACK BEARS (PEN)	C/RW	37	1988-06-02	SWE	No	233 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	2,200,000$	314,286$	220,000$	31,429$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Reece Newkirk	PENSACOLA BLACK BEARS (PEN)	C	25	2001-02-20	CAN	Yes	192 Lbs	5 ft11	No	No	N/A		No	No	1	2024-06-03	False	False	Pro & Farm	640,000$	91,429$	64,000$	9,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Rodwin Dionicio	PENSACOLA BLACK BEARS (PEN)	D	22	2004-03-30	USA	Yes	198 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2024-07-08	False	False	Pro & Farm	600,000$	85,714$	60,000$	8,571$	No	600,000$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Sergei Murashov	PENSACOLA BLACK BEARS (PEN)	G	22	2004-04-01	RUS	Yes	179 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2025-07-16	False	False	Pro & Farm	700,000$	100,000$	70,000$	10,000$	No	700,000$	700,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Stian Solberg	PENSACOLA BLACK BEARS (PEN)	D	20	2005-12-29	NOR	Yes	205 Lbs	6 ft1	No	No	Assign Manually		No	No	3	2025-07-12	False	False	Pro & Farm	900,000$	128,571$	90,000$	12,857$	No	900,000$	900,000$	-	-	-	-	-	-	-	40,000$	40,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Tyler Parsons	PENSACOLA BLACK BEARS (PEN)	G	28	1997-09-18	USA	No	188 Lbs	6 ft1	No	No	N/A		No	No	2	2025-02-25	False	False	Pro & Farm	843,750$	120,536$	84,375$	12,054$	No	843,750$	-	-	-	-	-	-	-	-	40,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Vince Dunn	PENSACOLA BLACK BEARS (PEN)	D	29	1996-10-29	CAN	No	207 Lbs	6 ft4	No	No	N/A		No	No	4	2024-03-14	False	False	Pro & Farm	700,000$	100,000$	70,000$	10,000$	No	700,000$	700,000$	700,000$	-	-	-	-	-	-	40,000$	40,000$	40,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
32	26.25	199 Lbs	6 ft2	2.00	820,357$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Konstantin Zakharov	Bryce Swan	Patrik Berglund	40	0	2	3
2	Nolan Foote	Dylan Sikura	Emerson Etem	33	0	2	3
3	Gracyn Sawchyn	Michael Hage	Marat Khusnutdinov	17	0	2	3
4	Daniil But	Aleksanteri Kaskimaki	Anthony Romani	10	0	2	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	JJ Moser	Vince Dunn	40	0	2	3
2	Chris Butler	Stian Solberg	35	0	2	3
3	E. J. Emery	Adam Engström	13	0	2	3
4	Andrew Peeke	Vince Dunn	12	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Konstantin Zakharov	Bryce Swan	Patrik Berglund	65	0	0	5
2	Nolan Foote	Patrik Berglund	Emerson Etem	35	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	JJ Moser	Vince Dunn	65	0	0	5
2	Andrew Peeke	Chris Butler	35	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Bryce Swan	Konstantin Zakharov	50	0	5	0
2	Patrik Berglund	Nolan Foote	50	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	JJ Moser	Vince Dunn	50	0	5	0
2	Chris Butler	Stian Solberg	50	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Bryce Swan	50	0	5	0	JJ Moser	Chris Butler	50	0	5	0
2	Patrik Berglund	50	0	5	0	Andrew Peeke	Stian Solberg	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Bryce Swan	Konstantin Zakharov	60	0	2	3
2	Patrik Berglund	Nolan Foote	40	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	JJ Moser	Vince Dunn	60	0	2	3
2	Chris Butler	Stian Solberg	40	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Konstantin Zakharov	Bryce Swan	Patrik Berglund	JJ Moser	Chris Butler

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Konstantin Zakharov	Bryce Swan	Patrik Berglund	JJ Moser	Chris Butler

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nolan Foote, Dylan Sikura, Daniil But	Nolan Foote, Dylan Sikura	Nolan Foote

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Stian Solberg, E. J. Emery, Adam Engström	Stian Solberg	Stian Solberg, E. J. Emery

Penalty Shots
Konstantin Zakharov, Bryce Swan, Patrik Berglund, Emerson Etem, Nolan Foote

Goalie
#1 : Tyler Parsons, #2 : Sergei Murashov

Custom OT Lines Forwards
, Patrik Berglund, Konstantin Zakharov, Emerson Etem, Gracyn Sawchyn, Dylan Sikura, Michael Hage, , Nolan Foote, Daniil But

Custom OT Lines Defensemen
, , Chris Butler, Andrew Peeke, JJ Moser

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	PHILADELPHIA PHANTOMS	5	1	4	0	0	0	0	0	13	19	-6	2	1	1	0	0	0	0	0	7	6	1	3	0	3	0	0	0	0	0	6	13	-7	2	0.200	13	22	35	1	0	3	7	3	0	115	28	37	50	0	182	59	8	87	4	0	0.00%	4	0	100.00%	0	56	96	58.33%	60	110	54.55%	41	84	48.81%	92	48	116	45	90	45
	Total	5	1	4	0	0	0	0	0	13	19	-6	2	1	1	0	0	0	0	0	7	6	1	3	0	3	0	0	0	0	0	6	13	-7	2	0.200	13	22	35	1	0	3	7	3	0	115	28	37	50	0	182	59	8	87	4	0	0.00%	4	0	100.00%	0	56	96	58.33%	60	110	54.55%	41	84	48.81%	92	48	116	45	90	45
	_Since Last GM Reset	5	1	4	0	0	0	0	0	13	19	-6	2	1	1	0	0	0	0	0	7	6	1	3	0	3	0	0	0	0	0	6	13	-7	2	0.200	13	22	35	1	0	3	7	3	0	115	28	37	50	0	182	59	8	87	4	0	0.00%	4	0	100.00%	0	56	96	58.33%	60	110	54.55%	41	84	48.81%	92	48	116	45	90	45
	_Vs Conference	5	1	4	0	0	0	0	0	13	19	-6	2	1	1	0	0	0	0	0	7	6	1	3	0	3	0	0	0	0	0	6	13	-7	2	0.200	13	22	35	1	0	3	7	3	0	115	28	37	50	0	182	59	8	87	4	0	0.00%	4	0	100.00%	0	56	96	58.33%	60	110	54.55%	41	84	48.81%	92	48	116	45	90	45
	_Vs Division	5	1	4	0	0	0	0	0	13	19	-6	2	1	1	0	0	0	0	0	7	6	1	3	0	3	0	0	0	0	0	6	13	-7	2	0.200	13	22	35	1	0	3	7	3	0	115	28	37	50	0	182	59	8	87	4	0	0.00%	4	0	100.00%	0	56	96	58.33%	60	110	54.55%	41	84	48.81%	92	48	116	45	90	45

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
5	2	L2	13	22	35	115	182	59	8	87	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	13	19

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	7	6

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	6	13

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	4	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
4	0	0.00%	4	0	100.00%	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
28	37	50	0	3	7	3	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
56	96	58.33%	60	110	54.55%	41	84	48.81%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
92	48	116	45	90	45

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
1	1	PENSACOLA BLACK BEARS	3	PHILADELPHIA PHANTOMS	4	L	Box score
3	9	PENSACOLA BLACK BEARS	0	PHILADELPHIA PHANTOMS	4	L	Box score
5	17	PHILADELPHIA PHANTOMS	2	PENSACOLA BLACK BEARS	4	W	Box score
7	25	PHILADELPHIA PHANTOMS	4	PENSACOLA BLACK BEARS	3	L	Box score
9	33	PENSACOLA BLACK BEARS	3	PHILADELPHIA PHANTOMS	5	L	Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	15	10
Attendance	4,000	2,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
40	3000 - 100.00%	40,000$	80,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,625,143$	2,625,143$	875,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	32	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	7	0$	0$

PENSACOLA BLACK BEARS 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

PENSACOLA BLACK BEARS 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

PENSACOLA BLACK BEARS 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

PENSACOLA BLACK BEARS 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

PENSACOLA BLACK BEARS 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

	PENSACOLA BLACK BEARS
	GP: 5 \| W: 1 \| L: 4 GF: 13 \| GA: 19 \| PP%: 0.00% \| PK%: 100.00% GM : Rob F \| Morale : 47 \| Team Overall : 65