Pittsburgh Penguins
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Belleville Senators
0-0-0, 0pts

2022-09-20

Wilkes-Barre/Scranton Penguins
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%

Belleville Senators
0-0-0, 0pts

2022-09-22

Wilkes-Barre/Scranton Penguins
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%

Wilkes-Barre/Scranton Penguins
0-0-0, 0pts

2022-09-24

Belleville Senators
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	Gilles Piette
	Coach	Pittsburgh
	Division	ATLANTIC
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	25
	Farm Team	18
	Contract Limit	43 / 250
	Prospects	41

Show or Hide Column

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	Nicolas Deslauriers		X			100.00	90	89	67	62	81	78	90	62	59	61	64	66	58	75	73	50	32	0	0	31	2	950,000$
2	Dylan Sikura (R)	X	X			100.00	57	35	94	63	66	89	86	64	74	65	66	62	64	67	69	52	45	0	0	27	1	925,000$
3	Adam Gaudette	X		X		100.00	60	37	91	63	72	78	85	65	77	63	62	58	66	67	69	52	50	0	0	25	2	950,000$
4	Zack MacEwen (R)	X		X		100.00	86	82	65	54	84	74	87	57	70	55	56	55	59	66	67	42	50	0	0	26	1	700,000$
5	Carl Grundstrom	X	X	X		100.00	86	35	87	66	73	79	86	62	58	63	66	57	63	65	67	69	45	0	0	24	3	700,000$
6	Joachim Blichfeld (R)		X	X		100.00	64	38	81	67	79	82	83	66	57	62	67	61	69	64	66	58	26	0	0	24	1	700,000$
7	Alexei Toropchenko			X		100.00	80	42	74	64	97	82	89	62	58	60	63	65	57	63	65	56	23	0	0	23	2	750,000$
8	Josh Dunne	X				100.00	81	42	76	57	88	81	66	58	73	56	59	66	57	64	66	43	50	0	0	23	4	925,000$
9	Justin Richards	X				100.00	76	36	83	67	71	77	83	65	71	66	58	64	62	65	66	54	50	0	0	24	3	925,000$
10	Michal Teply			X		100.00	72	38	94	57	81	79	83	55	61	59	56	60	57	61	63	62	50	0	0	21	2	842,500$
11	Adam Beckman		X			100.00	60	38	83	63	77	90	88	66	62	67	58	60	64	61	63	66	50	0	0	21	2	925,000$
12	Mathias Laferriere			X		100.00	69	37	91	51	78	69	84	52	56	53	54	55	53	62	64	49	50	0	0	22	2	750,000$
13	Seth Helgeson				X	100.00	81	45	64	53	90	63	89	52	30	54	53	58	45	72	77	37	50	0	0	31	1	700,000$
14	Jeremy Groleau (R)				X	100.00	73	39	75	53	82	64	72	51	30	53	52	56	45	63	65	52	50	0	0	22	2	750,000$
15	Nikolai Knyzhov (R)				X	100.00	81	38	78	65	84	80	45	64	30	67	58	69	50	65	66	54	51	0	0	24	4	850,000$
16	Cooper Zech				X	100.00	62	36	87	53	62	68	79	52	30	57	52	51	45	64	66	53	50	0	0	23	4	837,500$
17	Maxence Guenette				X	100.00	65	37	86	57	74	66	76	56	30	58	56	57	47	61	63	49	47	0	0	21	1	805,000$
Scratches
1	Eric Fehr	X	X	X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	40	40	11	50	0	0	37	1	1,000,000$
2	Jacob de la Rose		X			100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	39	34	11	50	0	0	27	1	850,000$
3	Brett Seney (R)		X			100.00	69	38	88	63	60	83	84	62	65	61	58	64	62	66	68	56	50	0	0	26	3	700,000$
4	Jan Drozg (R)			X		100.00	66	38	80	58	75	72	71	54	61	56	57	54	59	63	65	59	50	0	0	23	4	842,500$
5	Andrew Oglevie	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	26	11	50	0	0	27	4	925,000$
6	Samuel Asselin	X				100.00	56	39	75	59	65	82	87	55	66	60	57	53	58	64	66	43	50	0	0	24	3	800,000$

	TEAM AVERAGE					100.00	68	42	76	57	71	77	82	57	51	57	56	57	53	61	62	47	46	0

Show or Hide Column

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	Antoine Bibeau	100.00	56	67	68	84	57	57	59	58	59	46	69	69	81	88	50	0	0	28	1	650,000$
2	Hunter Miska (R)	100.00	64	72	73	75	66	65	67	66	67	54	73	67	77	99	55	0	0	27	3	700,000$
Scratches

	TEAM AVERAGE	100.00	60	70	71	80	62	61	63	62	63	50	71	68	79	94	53	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Pittsburgh	30	30	30	30	30	30	11	CAN	42	2	40,000$

Show or Hide Column

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 Column

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 Column

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	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Adam Beckman	Wilkes-Barre/Scranton Penguins (PIT)	LW	21	5/10/2001	No	182 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$			Link
Adam Gaudette	Wilkes-Barre/Scranton Penguins (PIT)	C/RW	25	10/3/1996	No	175 Lbs	6 ft1	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$			Link
Alexei Toropchenko	Wilkes-Barre/Scranton Penguins (PIT)	RW	23	6/25/1999	No	222 Lbs	6 ft6	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	600,000$			Link
Andrew Oglevie	Wilkes-Barre/Scranton Penguins (PIT)	C	27	2/16/1995	No	180 Lbs	5 ft11	No	No	No	4	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	925,000$	Link
Antoine Bibeau	Wilkes-Barre/Scranton Penguins (PIT)	G	28	5/1/1994	No	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	650,000$	650,000$	0$	0$	No				Link
Brett Seney	Wilkes-Barre/Scranton Penguins (PIT)	LW	26	2/28/1996	Yes	156 Lbs	5 ft9	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	0$	No	700,000$	700,000$		Link
Carl Grundstrom	Wilkes-Barre/Scranton Penguins (PIT)	C/LW/RW	24	12/1/1997	No	195 Lbs	6 ft0	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	0$	No	700,000$	700,000$		Link
Cooper Zech	Wilkes-Barre/Scranton Penguins (PIT)	D	23	12/18/1998	No	161 Lbs	5 ft9	No	No	No	4	Pro & Farm	837,500$	837,500$	0$	0$	No	837,500$	837,500$	837,500$	Link
Dylan Sikura	Wilkes-Barre/Scranton Penguins (PIT)	C/LW	27	6/1/1995	Yes	170 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No				Link
Eric Fehr	Wilkes-Barre/Scranton Penguins (PIT)	C/LW/RW	37	7/28/1985	No	212 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No				Link
Hunter Miska	Wilkes-Barre/Scranton Penguins (PIT)	G	27	7/7/1995	Yes	175 Lbs	6 ft1	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	0$	No	700,000$	700,000$		Link
Jacob de la Rose	Wilkes-Barre/Scranton Penguins (PIT)	LW	27	5/20/1995	No	215 Lbs	6 ft3	No	No	No	1	Pro & Farm	850,000$	850,000$	0$	0$	No				Link
Jan Drozg	Wilkes-Barre/Scranton Penguins (PIT)	RW	23	4/1/1999	Yes	174 Lbs	6 ft2	No	No	No	4	Pro & Farm	842,500$	842,500$	0$	0$	No	842,500$	842,500$	842,500$	Link
Jeremy Groleau	Wilkes-Barre/Scranton Penguins (PIT)	D	22	10/25/1999	Yes	193 Lbs	6 ft3	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$			Link
Joachim Blichfeld	Wilkes-Barre/Scranton Penguins (PIT)	LW/RW	24	7/17/1998	Yes	180 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	0$	No				Link
Josh Dunne	Wilkes-Barre/Scranton Penguins (PIT)	C	23	12/8/1998	No	210 Lbs	6 ft4	No	No	No	4	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	925,000$	Link
Justin Richards	Wilkes-Barre/Scranton Penguins (PIT)	C	24	3/17/1998	No	190 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$		Link
Mathias Laferriere	Wilkes-Barre/Scranton Penguins (PIT)	RW	22	6/27/2000	No	188 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$			Link
Maxence Guenette	Wilkes-Barre/Scranton Penguins (PIT)	D	21	4/28/2001	No	181 Lbs	6 ft1	No	No	No	1	Pro & Farm	805,000$	805,000$	0$	0$	No				Link
Michal Teply	Wilkes-Barre/Scranton Penguins (PIT)	RW	21	5/27/2001	No	187 Lbs	6 ft3	No	No	No	2	Pro & Farm	842,500$	842,500$	0$	0$	No	842,500$			Link
Nicolas Deslauriers	Wilkes-Barre/Scranton Penguins (PIT)	LW	31	2/22/1991	No	220 Lbs	6 ft1	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$			Link
Nikolai Knyzhov	Wilkes-Barre/Scranton Penguins (PIT)	D	24	3/20/1998	Yes	218 Lbs	6 ft2	No	No	No	4	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	850,000$	850,000$	Link
Samuel Asselin	Wilkes-Barre/Scranton Penguins (PIT)	C	24	7/1/1998	No	180 Lbs	5 ft9	No	No	No	3	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	800,000$		Link
Seth Helgeson	Wilkes-Barre/Scranton Penguins (PIT)	D	31	10/8/1990	No	219 Lbs	6 ft4	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	0$	No				Link
Zack MacEwen	Wilkes-Barre/Scranton Penguins (PIT)	C/RW	26	7/8/1996	Yes	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	0$	No				Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	25.24	192 Lbs	6 ft1	2.28	818,100$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nicolas Deslauriers	Justin Richards	Alexei Toropchenko	38	1	2	2
2	Adam Beckman	Carl Grundstrom	Joachim Blichfeld	30	1	2	2
3	Nicolas Deslauriers	Dylan Sikura	Adam Gaudette	22	1	2	2
4	Alexei Toropchenko	Josh Dunne	Michal Teply	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nikolai Knyzhov	Seth Helgeson	38	1	2	2
2	Maxence Guenette	Jeremy Groleau	30	1	2	2
3	Cooper Zech	Nikolai Knyzhov	22	1	2	2
4	Seth Helgeson	Maxence Guenette	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nicolas Deslauriers	Justin Richards	Alexei Toropchenko	60	1	2	2
2	Adam Beckman	Carl Grundstrom	Joachim Blichfeld	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nikolai Knyzhov	Seth Helgeson	60	1	2	2
2	Maxence Guenette	Jeremy Groleau	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nicolas Deslauriers	Alexei Toropchenko	60	1	2	2
2	Justin Richards	Adam Beckman	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nikolai Knyzhov	Seth Helgeson	60	1	2	2
2	Maxence Guenette	Jeremy Groleau	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nicolas Deslauriers	60	1	2	2	Nikolai Knyzhov	Seth Helgeson	60	1	2	2
2	Alexei Toropchenko	40	1	2	2	Maxence Guenette	Jeremy Groleau	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nicolas Deslauriers	Alexei Toropchenko	60	1	2	2
2	Justin Richards	Adam Beckman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nikolai Knyzhov	Seth Helgeson	60	1	2	2
2	Maxence Guenette	Jeremy Groleau	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Nicolas Deslauriers	Justin Richards	Alexei Toropchenko	Nikolai Knyzhov	Seth Helgeson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Nicolas Deslauriers	Justin Richards	Alexei Toropchenko	Nikolai Knyzhov	Seth Helgeson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Zack MacEwen, Mathias Laferriere, Dylan Sikura	Zack MacEwen, Mathias Laferriere	Dylan Sikura

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Cooper Zech, Jeremy Groleau, Nikolai Knyzhov	Cooper Zech	Jeremy Groleau, Nikolai Knyzhov

Penalty Shots
Nicolas Deslauriers, Alexei Toropchenko, Justin Richards, Adam Beckman, Joachim Blichfeld

Goalie
#1 : Hunter Miska, #2 : Antoine Bibeau

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

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	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	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	0.00%	0	0	0.00%	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
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	0.00%	0	0	0.00%	0	0	0.00%

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 Column

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
1 - 2022-09-20	1	Belleville Senators	-	Wilkes-Barre/Scranton Penguins	-
3 - 2022-09-22	9	Belleville Senators	-	Wilkes-Barre/Scranton Penguins	-
5 - 2022-09-24	17	Wilkes-Barre/Scranton Penguins	-	Belleville Senators	-
7 - 2022-09-26	25	Wilkes-Barre/Scranton Penguins	-	Belleville Senators	-
9 - 2022-09-28	33	Belleville Senators	-	Wilkes-Barre/Scranton Penguins	-
11 - 2022-09-30	41	Wilkes-Barre/Scranton Penguins	-	Belleville Senators	-
13 - 2022-10-02	49	Belleville Senators	-	Wilkes-Barre/Scranton Penguins	-

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

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
41	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,045,250$	1,681,414$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	14	0$	0$

Wilkes-Barre/Scranton Penguins Stat Leaders (Regular Season)

Show or Hide Column

#	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

Wilkes-Barre/Scranton Penguins Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Wilkes-Barre/Scranton Penguins Career Team Stats

Show or Hide Column

	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

Wilkes-Barre/Scranton Penguins Stat Leaders (Play-Off)

Show or Hide Column

#	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

Wilkes-Barre/Scranton Penguins Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Wilkes-Barre/Scranton Penguins
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : Gilles Piette \| Morale : 50 \| Team Overall : N/A Next Games #1 vs Belleville Senators