St. Louis Vipers
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Long Island Jawz
0-0-0, 0pts

2025-04-21

Pittsburgh Phantoms
0-0-0, 0pts

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

Utah Rollerbees
0-0-0, 0pts

2025-04-23

Pittsburgh Phantoms
0-0-0, 0pts

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

Pittsburgh Phantoms
0-0-0, 0pts

2025-04-27

Long Island Jawz
0-0-0, 0pts

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

Team Leaders

Team Stats

Team Info
	General Manager
	Coach	Trevor Prosper
	Division	Metro
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	5,000
	Attendance
	Season Tickets	500
Roster Info
	Pro Team	11
	Farm Team	18
	Contract Limit	29 / 50
	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	Chris Lovenbury		X	X		100.00	52	29	85	80	70	90	85	80	35	59	76	66	55	17	1	59	50	65	0	24	2	400,000$
2	Joey Kim		X			100.00	55	29	87	72	44	62	61	58	25	58	73	57	51	11	11	50	50	56	0	23	1	350,000$
3	Gary Sweet	X		X		100.00	57	32	85	66	29	80	26	61	34	51	60	50	41	3	21	46	50	51	0	22	3	350,000$
4	Kevin Rivet			X		100.00	46	27	89	62	44	80	20	69	25	35	43	59	29	1	1	41	50	48	0	23	3	350,000$
5	London Sutter	X		X		100.00	39	48	82	50	39	86	76	52	71	49	47	10	41	1	1	46	50	44	0	25	2	350,000$
6	Jeffrey Brendon		X	X		100.00	57	32	89	43	59	50	20	52	25	24	32	24	22	3	1	35	50	36	0	25	1	350,000$
7	Riley Paetsch (R)				X	100.00	56	44	63	64	62	60	60	57	40	54	54	54	59	50	50	30	50	56	0	24	1	350,000$
8	Mathias Pedersen				X	100.00	67	30	83	49	80	72	34	55	1	18	23	59	16	89	1	45	50	52	0	30	1	1,000,000$
9	Jeremy Provencher				X	100.00	60	27	84	42	48	58	24	47	1	15	17	48	12	46	10	36	50	42	0	32	2	396,000$
10	Doug Lassiter (R)				X	100.00	50	26	89	39	69	50	20	40	1	18	18	41	12	10	22	33	50	40	0	23	1	350,000$
Scratches

	TEAM AVERAGE					100.00	54	32	84	57	54	69	43	57	26	38	44	47	34	23	12	42	50	49

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	Eric Withrow	100.00	75	58	66	74	73	74	77	76	71	74	55	6	9	61	50	64	0	26	1	350,000$
Scratches

	TEAM AVERAGE	100.00	75	58	66	74	73	74	77	76	71	74	55	6	9	61	50	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Trevor Prosper	89	75	83	74	91	75	58	CAN	56	4	475,000$

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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Columns

Filter Tips

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

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

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	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
Chris Lovenbury	Pittsburgh Phantoms (STL)	LW/RW	24	2000-07-21	USA	No	187 Lbs	6 ft3	No	No	Assign Manually	No	No	2	2025-03-26	False	False	Pro & Farm	400,000$	0$	0$	No	400,000$	-	-	-	-	-	-	-	-	400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Doug Lassiter	Pittsburgh Phantoms (STL)	D	23	2001-06-25	USA	Yes	198 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2025-03-26	False	False	Pro & Farm	350,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Eric Withrow	Pittsburgh Phantoms (STL)	G	26	1998-07-12	USA	No	203 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2025-03-26	False	False	Pro & Farm	350,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Gary Sweet	Pittsburgh Phantoms (STL)	C/RW	22	2003-02-26	USA	No	170 Lbs	5 ft8	No	No	Assign Manually	No	No	3	2025-03-26	False	False	Pro & Farm	350,000$	0$	0$	No	350,000$	350,000$	-	-	-	-	-	-	-	350,000$	350,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jeffrey Brendon	Pittsburgh Phantoms (STL)	LW/RW	25	2000-03-14	USA	No	201 Lbs	6 ft0	No	No	Assign Manually	No	No	1	2025-03-26	False	False	Pro & Farm	350,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jeremy Provencher	Pittsburgh Phantoms (STL)	D	32	1992-06-25	CAN	No	187 Lbs	6 ft0	No	No	Assign Manually	No	No	2	2025-03-26	False	False	Pro & Farm	396,000$	0$	0$	No	396,000$	-	-	-	-	-	-	-	-	396,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Joey Kim	Pittsburgh Phantoms (STL)	LW	23	2001-09-11	USA	No	183 Lbs	5 ft10	No	No	Assign Manually	No	No	1	2025-03-26	False	False	Pro & Farm	350,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kevin Rivet	Pittsburgh Phantoms (STL)	RW	23	2002-02-06	FRA	No	181 Lbs	5 ft10	No	No	Assign Manually	No	No	3	2025-03-26	False	False	Pro & Farm	350,000$	0$	0$	No	350,000$	350,000$	-	-	-	-	-	-	-	350,000$	350,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
London Sutter	Pittsburgh Phantoms (STL)	C/RW	25	1999-06-07	CAN	No	174 Lbs	5 ft10	No	No	Assign Manually	No	No	2	2025-03-26	False	False	Pro & Farm	350,000$	0$	0$	No	350,000$	-	-	-	-	-	-	-	-	350,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Mathias Pedersen	Pittsburgh Phantoms (STL)	D	30	1994-10-27	USA	No	220 Lbs	6 ft4	No	No	Assign Manually	No	No	1	2025-03-26	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Riley Paetsch	Pittsburgh Phantoms (STL)	D	24	2001-02-22	CAN	Yes	187 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2025-04-07	False	False	Pro & Farm	350,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
11	25.18	190 Lbs	6 ft1	1.64	417,818$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Chris Lovenbury	Gary Sweet	Kevin Rivet	40	1	2	2
2	Joey Kim	London Sutter	Jeffrey Brendon	30	1	2	2
3	Joey Kim	Chris Lovenbury	Gary Sweet	20	1	2	2
4	London Sutter	Kevin Rivet	Jeffrey Brendon	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Riley Paetsch	Mathias Pedersen	40	1	2	2
2	Jeremy Provencher	Doug Lassiter	30	1	2	2
3	Riley Paetsch	Mathias Pedersen	20	1	2	2
4	Jeremy Provencher	Doug Lassiter	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Chris Lovenbury	Gary Sweet	Kevin Rivet	60	1	2	2
2	Joey Kim	London Sutter	Jeffrey Brendon	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Riley Paetsch	Mathias Pedersen	60	1	2	2
2	Jeremy Provencher	Doug Lassiter	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Chris Lovenbury	Joey Kim	60	1	2	2
2	Gary Sweet	Kevin Rivet	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Riley Paetsch	Mathias Pedersen	60	1	2	2
2	Jeremy Provencher	Doug Lassiter	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Chris Lovenbury	60	1	2	2	Riley Paetsch	Mathias Pedersen	60	1	2	2
2	Joey Kim	40	1	2	2	Jeremy Provencher	Doug Lassiter	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Chris Lovenbury	Joey Kim	60	1	2	2
2	Gary Sweet	Kevin Rivet	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Riley Paetsch	Mathias Pedersen	60	1	2	2
2	Jeremy Provencher	Doug Lassiter	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Chris Lovenbury	Gary Sweet	Kevin Rivet	Riley Paetsch	Mathias Pedersen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Chris Lovenbury	Gary Sweet	Kevin Rivet	Riley Paetsch	Mathias Pedersen

Extra Forwards
Normal	PowerPlay	Penalty Kill
London Sutter, Jeffrey Brendon, Gary Sweet	London Sutter, Jeffrey Brendon	Gary Sweet

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Riley Paetsch, Mathias Pedersen, Jeremy Provencher	Riley Paetsch	Mathias Pedersen, Jeremy Provencher

Penalty Shots
Chris Lovenbury, Joey Kim, Gary Sweet, Kevin Rivet, London Sutter

Goalie
#1 : Eric Withrow, #2 :

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

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

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

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

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

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

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

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

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

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

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score
4 - 2025-04-21	5	Long Island Jawz	-	Pittsburgh Phantoms	-
6 - 2025-04-23	13	Utah Rollerbees	-	Pittsburgh Phantoms	-
10 - 2025-04-27	23	Pittsburgh Phantoms	-	Long Island Jawz	-
12 - 2025-04-29	27	Long Island Jawz	-	Pittsburgh Phantoms	-
13 - 2025-04-30	32	Pittsburgh Phantoms	-	Philadelphia Bulldogs	-
16 - 2025-05-03	39	Connecticut Coasters	-	Pittsburgh Phantoms	-
17 - 2025-05-04	44	Pittsburgh Phantoms	-	Long Island Jawz	-
20 - 2025-05-07	49	New England Stingers	-	Pittsburgh Phantoms	-
21 - 2025-05-08	51	Pittsburgh Phantoms	-	Empire State Cobras	-
25 - 2025-05-12	63	Connecticut Coasters	-	Pittsburgh Phantoms	-
28 - 2025-05-15	68	Pittsburgh Phantoms	-	Utah Rollerbees	-
30 - 2025-05-17	75	New England Stingers	-	Pittsburgh Phantoms	-
31 - 2025-05-18	79	Pittsburgh Phantoms	-	Utah Rollerbees	-
34 - 2025-05-21	87	Sacramento River Rats	-	Pittsburgh Phantoms	-
36 - 2025-05-23	92	Pittsburgh Phantoms	-	Philadelphia Bulldogs	-
37 - 2025-05-24	97	Pittsburgh Phantoms	-	Empire State Cobras	-
39 - 2025-05-26	102	Philadelphia Bulldogs	-	Pittsburgh Phantoms	-
42 - 2025-05-29	109	Pittsburgh Phantoms	-	Empire State Cobras	-
43 - 2025-05-30	112	Pittsburgh Phantoms	-	New England Stingers	-
44 - 2025-05-31	117	Phoenix Cobras	-	Pittsburgh Phantoms	-
47 - 2025-06-03	125	Pittsburgh Phantoms	-	Sacramento River Rats	-
48 - 2025-06-04	130	Connecticut Coasters	-	Pittsburgh Phantoms	-
51 - 2025-06-07	139	New England Stingers	-	Pittsburgh Phantoms	-
52 - 2025-06-08	143	Pittsburgh Phantoms	-	Las Vegas Flash	-
56 - 2025-06-12	150	Las Vegas Flash	-	Pittsburgh Phantoms	-
58 - 2025-06-14	158	San Jose Rhinos	-	Pittsburgh Phantoms	-
60 - 2025-06-16	163	Pittsburgh Phantoms	-	Phoenix Cobras	-
62 - 2025-06-18	170	Utah Rollerbees	-	Pittsburgh Phantoms	-
64 - 2025-06-20	176	Pittsburgh Phantoms	-	Connecticut Coasters	-
66 - 2025-06-22	182	Portland Rage	-	Pittsburgh Phantoms	-
67 - 2025-06-23	184	Pittsburgh Phantoms	-	Connecticut Coasters	-
70 - 2025-06-26	195	Philadelphia Bulldogs	-	Pittsburgh Phantoms	-
72 - 2025-06-28	201	Pittsburgh Phantoms	-	New England Stingers	-
74 - 2025-06-30	203	Pittsburgh Phantoms	-	Long Island Jawz	-
76 - 2025-07-02	206	Pittsburgh Phantoms	-	San Jose Rhinos	-
79 - 2025-07-05	212	Philadelphia Bulldogs	-	Pittsburgh Phantoms	-
81 - 2025-07-07	218	Pittsburgh Phantoms	-	Portland Rage	-
83 - 2025-07-09	224	Long Island Jawz	-	Pittsburgh Phantoms	-
87 - 2025-07-13	232	Long Island Jawz	-	Pittsburgh Phantoms	-
89 - 2025-07-15	236	Pittsburgh Phantoms	-	Philadelphia Bulldogs	-
94 - 2025-07-20	247	Empire State Cobras	-	Pittsburgh Phantoms	-
96 - 2025-07-22	253	Empire State Cobras	-	Pittsburgh Phantoms	-
Trade Deadline --- Trades can’t be done after this day is simulated!
97 - 2025-07-23	255	Pittsburgh Phantoms	-	New England Stingers	-
100 - 2025-07-26	261	Pittsburgh Phantoms	-	Philadelphia Bulldogs	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3000	2000
Ticket Price	35	15
Attendance	0%	0%
Attendance PCT	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
22	0 - 0%	0$	0$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
9,074$	459,600$	459,600$	475,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
4,462$	4,462$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	102	9,074$	925,548$

Pittsburgh Phantoms 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

Pittsburgh Phantoms 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

Pittsburgh Phantoms 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

Pittsburgh Phantoms 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

Pittsburgh Phantoms 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

	Pittsburgh Phantoms
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : \| Morale : 50 \| Team Overall : 50 Next Games #5 vs Long Island Jawz