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

Game Center
	Wilkes-Barre/Scranton Penguins 64-8-0, 128pts	7	FINAL	0	Hartford Wolf Pack 18-46-8, 44pts

Team Stats
W46	Streak	L7
33-3-0	Home Record	11-21-4
31-5-0	Home Record	7-25-4
10-0-0	Last 10 Games	3-7-0
4.67	Goals Per Game	1.97
0.71	Goals Against Per Game	4.21
16.06%	Power Play Percentage	14.53%
95.48%	Penalty Kill Percentage	80.36%

Wilkes-Barre/Scranton Penguins
64-8-0, 128pts

FINAL

LeHigh Valley Phantoms
12-53-7, 31pts

Team Stats
W46	Streak	L3
33-3-0	Home Record	8-23-5
31-5-0	Home Record	4-30-2
10-0-0	Last 10 Games	1-9-0
4.67	Goals Per Game	1.54
0.71	Goals Against Per Game	4.04
16.06%	Power Play Percentage	9.02%
95.48%	Penalty Kill Percentage	76.51%

Team Leaders
	Goals Justin Richards 38	Assists Brett Seney 52

	Points Brett Seney 84	Plus/Minus Walker Duehr 92

	Wins Aaron Dell 48	Save Percentage Aaron Dell 0.944

Team Stats
Goals For 336 4.67 GFG	Shots For 2689 37.35 Avg	Power Play Percentage 16.1% 31 GF	Offensive Zone Start 50.5%
Goals Against 51 0.71 GAA	Shots Against 770 10.69 Avg	Penalty Kill Percentage 95.5%% 8 GA	Defensive Zone Start 25.9%

Team Info
	General Manager	Gilles Piette
	Coach	Pittsburgh
	Division	ATLANTIC
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,862
	Season Tickets	300
Roster Info
	Pro Team	28
	Farm Team	19
	Contract Limit	47 / 250
	Prospects	45

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	Brett Seney (R)		X			100.00	68	37	70	65	61	90	84	66	67	63	64	61	65	68	67	42	37	0	0	27	2	700,000$
2	Adam Gaudette	X		X		100.00	68	40	81	66	75	91	83	64	74	63	65	59	66	68	70	46	50	0	0	26	1	950,000$
3	Max Jones		X			100.00	74	49	66	65	87	81	73	62	57	63	64	56	63	66	68	78	51	0	0	25	1	1,100,000$
4	Justin Richards	X				100.00	71	39	81	65	70	78	84	63	70	67	58	62	59	65	67	42	50	0	0	25	2	925,000$
5	Michal Teply			X		100.00	72	38	95	58	81	79	81	57	61	59	58	60	56	62	64	62	50	0	0	22	1	842,500$
6	Samuel Asselin	X				100.00	56	39	73	56	65	78	86	55	62	56	55	52	54	65	67	42	50	0	0	25	3	800,000$
7	Adam Beckman		X			100.00	65	37	89	63	77	88	85	62	58	59	64	61	63	62	64	66	43	0	0	22	1	925,000$
8	Ethan Keppen (R)		X			100.00	74	42	71	52	83	67	68	51	53	52	54	56	53	62	64	59	50	0	0	22	1	700,000$
9	Mathias Laferriere			X		100.00	69	38	92	57	78	73	79	56	60	59	56	57	59	63	65	49	50	0	0	23	1	750,000$
10	Walker Duehr (R)			X		100.00	74	41	83	66	82	81	84	64	59	61	67	60	65	67	68	42	41	0	0	25	4	825,000$
11	Ilya Usau (R)	X				100.00	65	38	85	55	74	71	70	54	63	56	54	55	56	62	64	41	50	0	0	22	2	842,500$
12	Jack Johnson				X	100.00	70	43	86	63	83	89	90	61	30	65	54	82	48	89	76	43	11	0	0	36	1	950,000$
13	Nikolai Knyzhov (R)				X	100.00	75	40	85	63	88	83	65	62	30	58	61	65	52	65	67	42	48	0	0	25	3	850,000$
14	Ole Bjorgvik-Holm (R)				X	100.00	69	38	93	52	78	62	63	51	30	52	50	54	45	61	63	56	50	0	0	21	2	837,500$
15	Vincent Desharnais (R)				X	100.00	81	79	73	63	95	80	81	62	30	64	58	73	49	67	69	42	33	0	0	27	4	762,500$
16	Alexander Peters (R)				X	100.00	81	45	67	58	90	72	71	55	30	57	56	61	47	67	69	56	50	0	0	27	1	700,000$
17	Maxence Guenette				X	100.00	64	37	93	59	74	75	82	60	30	62	58	61	49	62	64	49	41	0	0	22	2	805,000$
Scratches
1	Brandon Gignac (R)	X				100.00	57	36	92	62	66	82	78	63	65	62	59	58	60	66	68	61	50	0	0	25	1	700,000$
2	Jan Drozg (R)			X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	24	3	842,500$
3	Travis Barron (R)		X			100.00	69	46	63	56	78	72	81	55	60	56	57	58	54	65	67	47	50	0	0	24	3	800,000$
4	Andrew Oglevie	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	28	3	925,000$
5	Greg Meireles (R)			X		100.00	57	37	88	57	66	74	80	56	59	58	56	54	58	64	66	48	50	0	0	24	3	700,000$
6	Patrick Giles (R)			X		100.00	78	39	89	54	87	71	75	53	59	54	52	58	52	63	65	43	50	0	0	23	2	800,000$
7	Jeremy Groleau (R)				X	100.00	73	39	89	56	82	68	77	54	30	55	53	57	46	64	66	43	50	0	0	23	1	750,000$
8	Cooper Zech				X	100.00	62	36	93	53	62	71	72	52	30	54	53	50	45	65	67	42	50	0	0	24	3	837,500$

	TEAM AVERAGE					100.00	67	41	79	58	74	77	79	57	48	57	56	58	53	62	63	47	46	0

Show or Hide Columns

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Aaron Dell	100.00	60	99	69	77	63	67	69	69	70	55	73	75	88	99	49	0	0	34	1	750,000$
2	Ryan Fanti (R)	100.00	48	85	57	82	49	55	55	56	56	44	63	64	71	99	50	0	0	23	1	842,500$
Scratches
1	Hunter Miska	100.00	45	90	80	50	45	45	45	45	45	45	50	25	25	11	50	0	0	28	2	700,000$

	TEAM AVERAGE	100.00	51	91	69	70	52	56	56	57	57	48	62	55	61	70	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Pittsburgh	30	30	30	30	30	30	11	CAN	43	1	40,000$

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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Dylan Gambrell	Pittsburgh Penguins	C/RW	52	38	54	92	75	8	0	53	117	258	87	211	14.73%	12	1156	22.24	2	6	8	16	112	1	2	3	6	94	8	1	77.54%	650	1	1.59	0	1	0	0	0	8	12	7
2	Brett Seney	Wilkes-Barre/Scranton Penguins (PIT)	LW	65	32	52	84	81	22	0	73	66	269	73	190	11.90%	6	1195	18.39	5	4	9	27	141	0	1	1	6	79	9	0	85.14%	74	1	1.41	0	0	0	0	0	3	8	5
3	Adam Beckman	Wilkes-Barre/Scranton Penguins (PIT)	LW	70	33	45	78	73	12	0	50	80	284	71	224	11.62%	6	1308	18.69	4	9	13	19	125	1	0	1	3	51	4	1	69.64%	56	1	1.19	0	0	0	0	0	4	3	3
4	Walker Duehr	Wilkes-Barre/Scranton Penguins (PIT)	RW	59	33	44	77	92	41	5	80	93	221	70	158	14.93%	8	1309	22.20	2	2	4	14	130	1	0	1	10	108	5	0	74.55%	220	2	1.18	0	1	0	0	1	6	3	5
5	Justin Richards	Wilkes-Barre/Scranton Penguins (PIT)	C	69	38	33	71	61	30	0	98	104	256	53	166	14.84%	7	1291	18.72	1	5	6	17	101	0	0	0	0	24	11	0	82.33%	968	0	1.10	0	0	0	0	0	7	7	5
6	Adam Gaudette	Wilkes-Barre/Scranton Penguins (PIT)	C/RW	37	25	34	59	55	4	0	37	60	158	46	140	15.82%	2	872	23.59	1	4	5	9	92	0	0	0	6	77	5	0	84.16%	423	3	1.35	1	1	0	0	0	8	4	1
7	Max Jones	Wilkes-Barre/Scranton Penguins (PIT)	LW	62	34	23	57	43	37	5	174	56	287	68	162	11.85%	20	943	15.21	2	0	2	8	25	0	0	0	0	11	8	2	61.59%	151	3	1.21	3	5	0	1	0	9	6	5
8	Mathias Laferriere	Wilkes-Barre/Scranton Penguins (PIT)	RW	72	18	37	55	77	17	5	47	37	180	46	120	10.00%	3	1177	16.35	1	1	2	6	57	0	0	0	0	12	3	0	71.70%	53	0	0.93	0	0	1	0	0	2	5	3
9	Brandon Gignac	Wilkes-Barre/Scranton Penguins (PIT)	C	70	18	33	51	60	4	0	12	100	164	55	151	10.98%	1	968	13.84	0	0	0	3	14	0	0	0	4	41	2	0	81.15%	695	0	1.05	0	0	0	0	0	2	2	5
10	Nikolai Knyzhov	Wilkes-Barre/Scranton Penguins (PIT)	D	37	6	36	42	65	16	0	36	14	50	18	33	12.00%	15	836	22.61	3	6	9	26	73	0	2	2	1	88	2	0	0%	0	0	1.00	0	0	0	0	0	2	2	4
11	Alexander Peters	Wilkes-Barre/Scranton Penguins (PIT)	D	71	5	33	38	91	59	5	137	24	61	22	40	8.20%	19	1600	22.55	1	4	5	11	140	0	1	1	0	121	1	0	0%	0	0	0.47	0	0	0	0	1	2	2	2
12	Maxence Guenette	Wilkes-Barre/Scranton Penguins (PIT)	D	63	4	33	37	72	20	0	41	35	67	19	48	5.97%	31	1341	21.30	1	4	5	29	129	0	0	0	1	115	0	0	0%	0	0	0.55	0	0	0	0	0	1	1	2
13	Travis Barron	Wilkes-Barre/Scranton Penguins (PIT)	LW	41	17	19	36	57	40	20	43	31	107	32	44	15.89%	3	602	14.69	0	0	0	2	16	0	0	0	0	8	3	0	72.00%	25	0	1.20	0	0	2	1	1	3	0	5
14	Jack Johnson	Wilkes-Barre/Scranton Penguins (PIT)	D	21	5	29	34	40	0	0	26	17	22	9	20	22.73%	11	498	23.72	3	4	7	14	54	0	1	1	0	48	1	0	0%	0	0	1.37	0	0	0	0	0	1	2	4
15	Michal Teply	Wilkes-Barre/Scranton Penguins (PIT)	RW	42	9	22	31	37	10	0	31	33	113	30	88	7.96%	2	753	17.94	3	1	4	12	62	0	0	0	0	14	2	1	81.82%	33	0	0.82	0	0	0	0	0	2	1	1
16	Samuel Asselin	Wilkes-Barre/Scranton Penguins (PIT)	C	62	6	14	20	28	5	5	16	35	48	12	45	12.50%	3	539	8.70	0	0	0	0	10	0	0	0	0	11	1	0	78.64%	309	0	0.74	0	0	1	0	0	1	2	0
17	Jeremy Groleau	Wilkes-Barre/Scranton Penguins (PIT)	D	60	4	13	17	63	31	5	86	13	24	12	22	16.67%	21	1276	21.27	0	2	2	5	113	0	1	1	0	95	0	0	0%	0	0	0.27	0	0	0	0	1	1	2	1
18	Ole Bjorgvik-Holm	Wilkes-Barre/Scranton Penguins (PIT)	D	71	3	13	16	82	20	0	89	13	26	7	17	11.54%	28	1295	18.24	0	0	0	4	65	0	0	0	1	59	0	0	0%	1	0	0.25	0	0	0	0	0	0	1	1
19	Vincent Desharnais	Wilkes-Barre/Scranton Penguins (PIT)	D	7	2	6	8	15	15	5	20	3	14	6	5	14.29%	1	155	22.18	0	1	1	1	8	0	0	0	0	9	0	0	0%	0	0	1.03	0	0	0	0	1	0	0	0
20	Cooper Zech	Wilkes-Barre/Scranton Penguins (PIT)	D	62	2	5	7	77	22	0	44	11	18	4	15	11.11%	26	1154	18.62	0	0	0	2	43	0	0	0	0	69	0	0	0%	0	0	0.12	0	0	0	0	0	0	1	0
21	Ethan Keppen	Wilkes-Barre/Scranton Penguins (PIT)	LW	21	4	3	7	6	6	0	26	7	41	12	21	9.76%	1	253	12.07	0	0	0	0	1	0	0	0	0	0	0	0	93.75%	16	0	0.55	0	0	0	0	0	0	0	0
22	Ilya Usau	Wilkes-Barre/Scranton Penguins (PIT)	C	63	2	5	7	15	4	0	12	15	25	4	9	8.00%	0	344	5.47	0	0	0	0	19	0	0	0	0	32	0	0	76.25%	80	0	0.41	0	0	0	0	0	0	0	0
23	Blake Lizotte	Pittsburgh Penguins	C	1	2	3	5	4	0	0	3	8	9	0	6	22.22%	1	23	23.03	0	1	1	0	4	0	0	0	0	0	1	0	100.00%	14	0	4.34	0	0	0	0	0	1	0	0
24	Zack MacEwen	Pittsburgh Penguins	C/RW	5	3	1	4	3	2	0	19	7	16	11	17	18.75%	1	115	23.06	1	0	1	1	12	0	0	0	0	16	1	0	67.86%	84	0	0.69	0	0	0	0	0	1	0	1
25	Nicolas Deslauriers	Pittsburgh Penguins	LW	2	0	0	0	-1	8	0	6	2	7	4	2	0%	0	41	20.94	0	0	0	0	1	0	0	0	1	8	0	0	66.67%	3	0	0	0	0	0	0	0	0	0	0
26	Andrew Oglevie	Wilkes-Barre/Scranton Penguins (PIT)	C	1	0	0	0	2	0	0	1	0	0	0	0	0%	0	3	3.93	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	6	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1186	343	590	933	1273	433	55	1260	981	2725	771	1954	12.59%	228	21059	17.76	30	54	84	226	1560	3	8	11	39	1201	67	5	79.23%	3861	11	0.89	4	8	4	2	5	64	64	60

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	PCT	GAA	MP	PIM	SO	GA	SA	PS %	PSA	ST	BG	S1	S2	S3
1	Aaron Dell	Wilkes-Barre/Scranton Penguins (PIT)	53	48	5	0.944	0.57	3182	4	35	30	539	1.000	3	53	13	1	1	2
2	Ryan Fanti	Wilkes-Barre/Scranton Penguins (PIT)	16	14	2	0.935	0.75	959	0	9	12	184	0	0	16	55	1	0	2
3	Hunter Miska	Wilkes-Barre/Scranton Penguins (PIT)	2	2	0	0.897	1.50	120	0	1	3	29	0	0	2	0	0	0	0
Team Total or Average			71	64	7	0.940	0.63	4261	4	45	45	752		3	71	68	2	1	4

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	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	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	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
Aaron Dell	Wilkes-Barre/Scranton Penguins (PIT)	G	34	5/4/1989	No	213 Lbs	6 ft0	No	No	N/A		No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Adam Beckman	Wilkes-Barre/Scranton Penguins (PIT)	LW	22	5/10/2001	No	182 Lbs	6 ft2	No	No	N/A		No	No	1	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Adam Gaudette	Wilkes-Barre/Scranton Penguins (PIT)	C/RW	26	10/3/1996	No	175 Lbs	6 ft1	No	No	N/A		No	No	1	Pro & Farm	950,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Alexander Peters	Wilkes-Barre/Scranton Penguins (PIT)	D	27	7/2/1996	Yes	220 Lbs	6 ft4	No	No	N/A		No	No	1	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Andrew Oglevie	Wilkes-Barre/Scranton Penguins (PIT)	C	28	2/16/1995	No	180 Lbs	5 ft11	No	No	N/A		No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Brandon Gignac	Wilkes-Barre/Scranton Penguins (PIT)	C	25	11/7/1997	Yes	170 Lbs	5 ft11	No	No	N/A		No	No	1	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Brett Seney	Wilkes-Barre/Scranton Penguins (PIT)	LW	27	2/28/1996	Yes	156 Lbs	5 ft9	No	No	N/A		No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Cooper Zech	Wilkes-Barre/Scranton Penguins (PIT)	D	24	12/18/1998	No	161 Lbs	5 ft9	No	No	N/A		No	No	3	Pro & Farm	837,500$	0$	0$	No	837,500$	837,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ethan Keppen	Wilkes-Barre/Scranton Penguins (PIT)	LW	22	3/20/2001	Yes	212 Lbs	6 ft2	No	No	N/A		No	No	1	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Greg Meireles	Wilkes-Barre/Scranton Penguins (PIT)	RW	24	1/1/1999	Yes	180 Lbs	5 ft10	No	No	N/A		No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Hunter Miska	Wilkes-Barre/Scranton Penguins (PIT)	G	28	7/7/1995	No	175 Lbs	6 ft1	No	No	N/A		No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Ilya Usau	Wilkes-Barre/Scranton Penguins (PIT)	C	22	8/3/2001	Yes	183 Lbs	6 ft1	No	No	N/A		No	No	2	Pro & Farm	842,500$	0$	0$	No	842,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jack Johnson	Wilkes-Barre/Scranton Penguins (PIT)	D	36	7/28/1987	No	227 Lbs	6 ft1	No	No	Trade	12/19/2023	No	No	1	Pro & Farm	950,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jan Drozg	Wilkes-Barre/Scranton Penguins (PIT)	RW	24	4/1/1999	Yes	174 Lbs	6 ft2	No	No	N/A		No	No	3	Pro & Farm	842,500$	0$	0$	No	842,500$	842,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jeremy Groleau	Wilkes-Barre/Scranton Penguins (PIT)	D	23	10/25/1999	Yes	193 Lbs	6 ft3	No	No	N/A		No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Justin Richards	Wilkes-Barre/Scranton Penguins (PIT)	C	25	3/17/1998	No	190 Lbs	5 ft11	No	No	N/A		No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Mathias Laferriere	Wilkes-Barre/Scranton Penguins (PIT)	RW	23	6/27/2000	No	188 Lbs	6 ft2	No	No	N/A		No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Max Jones	Wilkes-Barre/Scranton Penguins (PIT)	LW	25	2/17/1998	No	216 Lbs	6 ft3	No	No	Trade	2/19/2024	No	No	1	Pro & Farm	1,100,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Maxence Guenette	Wilkes-Barre/Scranton Penguins (PIT)	D	22	4/28/2001	No	181 Lbs	6 ft1	No	No	N/A		No	No	2	Pro & Farm	805,000$	0$	0$	No	805,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Michal Teply	Wilkes-Barre/Scranton Penguins (PIT)	RW	22	5/27/2001	No	187 Lbs	6 ft3	No	No	N/A		No	No	1	Pro & Farm	842,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Nikolai Knyzhov	Wilkes-Barre/Scranton Penguins (PIT)	D	25	3/20/1998	Yes	222 Lbs	6 ft3	No	No	N/A		No	No	3	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ole Bjorgvik-Holm	Wilkes-Barre/Scranton Penguins (PIT)	D	21	5/23/2002	Yes	190 Lbs	6 ft2	No	No	N/A		No	No	2	Pro & Farm	837,500$	0$	0$	No	837,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Patrick Giles	Wilkes-Barre/Scranton Penguins (PIT)	RW	23	1/3/2000	Yes	203 Lbs	6 ft4	No	No	N/A		No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Ryan Fanti	Wilkes-Barre/Scranton Penguins (PIT)	G	23	10/3/1999	Yes	194 Lbs	6 ft3	No	No	N/A		No	No	1	Pro & Farm	842,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Samuel Asselin	Wilkes-Barre/Scranton Penguins (PIT)	C	25	7/1/1998	No	180 Lbs	5 ft9	No	No	N/A		No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Travis Barron	Wilkes-Barre/Scranton Penguins (PIT)	LW	24	11/17/1998	Yes	205 Lbs	6 ft1	No	No	N/A		No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Vincent Desharnais	Wilkes-Barre/Scranton Penguins (PIT)	D	27	5/29/1996	Yes	215 Lbs	6 ft6	No	No	N/A		No	No	4	Pro & Farm	762,500$	0$	0$	No	762,500$	762,500$	762,500$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Walker Duehr	Wilkes-Barre/Scranton Penguins (PIT)	RW	25	11/23/1997	Yes	210 Lbs	6 ft2	No	No	N/A		No	No	4	Pro & Farm	825,000$	0$	0$	No	825,000$	825,000$	825,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	25.07	192 Lbs	6 ft1	1.96	818,304$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brett Seney	Adam Gaudette	Walker Duehr	38	1	2	2
2	Max Jones	Justin Richards	Michal Teply	30	1	2	2
3	Adam Beckman	Samuel Asselin	Mathias Laferriere	22	1	2	2
4	Ethan Keppen	Ilya Usau	Walker Duehr	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Johnson	Vincent Desharnais	38	1	2	2
2	Nikolai Knyzhov	Alexander Peters	30	1	2	2
3	Maxence Guenette	Ole Bjorgvik-Holm	22	1	2	2
4	Jack Johnson	Vincent Desharnais	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brett Seney	Adam Gaudette	Walker Duehr	60	1	2	2
2	Max Jones	Justin Richards	Michal Teply	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Johnson	Vincent Desharnais	60	1	2	2
2	Nikolai Knyzhov	Alexander Peters	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Walker Duehr	Adam Gaudette	60	1	2	2
2	Brett Seney	Max Jones	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Johnson	Vincent Desharnais	60	1	2	2
2	Nikolai Knyzhov	Alexander Peters	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Walker Duehr	60	1	2	2	Jack Johnson	Vincent Desharnais	60	1	2	2
2	Adam Gaudette	40	1	2	2	Nikolai Knyzhov	Alexander Peters	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Walker Duehr	Adam Gaudette	60	1	2	2
2	Brett Seney	Max Jones	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Johnson	Vincent Desharnais	60	1	2	2
2	Nikolai Knyzhov	Alexander Peters	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brett Seney	Adam Gaudette	Walker Duehr	Jack Johnson	Vincent Desharnais

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brett Seney	Adam Gaudette	Walker Duehr	Jack Johnson	Vincent Desharnais

Extra Forwards
Normal	PowerPlay	Penalty Kill
Adam Beckman, Mathias Laferriere, Samuel Asselin	Adam Beckman, Mathias Laferriere	Samuel Asselin

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Maxence Guenette, Ole Bjorgvik-Holm, Nikolai Knyzhov	Maxence Guenette	Ole Bjorgvik-Holm, Nikolai Knyzhov

Penalty Shots
Walker Duehr, Adam Gaudette, Brett Seney, Max Jones, Adam Beckman

Goalie
#1 : Aaron Dell, #2 : Ryan Fanti

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Belleville Senators	2	2	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	6	0	6	1	1	0	0	0	0	0	0	4	0	4	4	1.000	10	19	29	0	2	153	113	69	1	81	879	882	927	4	17	7	2	27	7	0	0.00%	1	0	100.00%	0	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
2	Bridgeport Islanders	4	4	0	0	0	0	0	0	22	0	22	2	2	0	0	0	0	0	0	11	0	11	2	2	0	0	0	0	0	0	11	0	11	8	1.000	22	42	64	0	4	153	113	69	1	143	879	882	927	4	39	10	22	88	7	1	14.29%	10	0	100.00%	0	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
3	Charlotte Checkers	8	4	3	0	0	0	1	0	15	15	0	4	4	0	0	0	0	0	0	8	3	5	4	0	3	0	0	0	1	0	7	12	-5	10	0.625	15	25	40	0	2	153	113	69	1	201	879	882	927	4	123	41	94	143	23	1	4.35%	40	4	90.00%	0	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
4	Cleveland Monsters	4	4	0	0	0	0	0	0	7	1	6	2	2	0	0	0	0	0	0	2	0	2	2	2	0	0	0	0	0	0	5	1	4	8	1.000	7	12	19	0	3	153	113	69	1	108	879	882	927	4	43	8	34	84	14	3	21.43%	14	0	100.00%	0	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
5	Hartford Wolf Pack	6	6	0	0	0	0	0	0	38	1	37	3	3	0	0	0	0	0	0	19	1	18	3	3	0	0	0	0	0	0	19	0	19	12	1.000	38	69	107	0	5	153	113	69	1	291	879	882	927	4	62	12	14	85	9	1	11.11%	7	0	100.00%	0	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
6	Hershey Bears	12	12	0	0	0	0	0	0	63	2	61	6	6	0	0	0	0	0	0	33	1	32	6	6	0	0	0	0	0	0	30	1	29	24	1.000	63	113	176	0	10	153	113	69	1	569	879	882	927	4	99	30	71	195	21	2	9.52%	23	0	100.00%	1	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
7	Laval Rocket	2	2	0	0	0	0	0	0	12	1	11	1	1	0	0	0	0	0	0	7	0	7	1	1	0	0	0	0	0	0	5	1	4	4	1.000	12	22	34	0	1	153	113	69	1	64	879	882	927	4	19	9	8	28	6	3	50.00%	4	0	100.00%	0	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
8	LeHigh Valley Phantoms	12	12	0	0	0	0	0	0	75	3	72	6	6	0	0	0	0	0	0	37	2	35	6	6	0	0	0	0	0	0	38	1	37	24	1.000	75	133	208	0	10	153	113	69	1	494	879	882	927	4	83	20	44	193	34	7	20.59%	17	0	100.00%	3	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
9	Providence Bruins	6	3	3	0	0	0	0	0	13	8	5	3	2	1	0	0	0	0	0	6	2	4	3	1	2	0	0	0	0	0	7	6	1	6	0.500	13	25	38	0	2	153	113	69	1	129	879	882	927	4	92	31	57	79	28	2	7.14%	26	3	88.46%	0	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
10	Rochester Americans	2	1	1	0	0	0	0	0	6	2	4	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	5	0	5	2	0.500	6	11	17	0	1	153	113	69	1	43	879	882	927	4	34	9	18	29	5	0	0.00%	8	0	100.00%	0	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
11	Springfield Thunderbirds	6	6	0	0	0	0	0	0	39	6	33	3	3	0	0	0	0	0	0	18	4	14	3	3	0	0	0	0	0	0	21	2	19	12	1.000	39	73	112	0	2	153	113	69	1	293	879	882	927	4	58	13	27	109	8	3	37.50%	11	0	100.00%	0	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
12	Syracuse Crunch	4	3	1	0	0	0	0	0	18	7	11	2	1	1	0	0	0	0	0	6	7	-1	2	2	0	0	0	0	0	0	12	0	12	6	0.750	18	33	51	0	2	153	113	69	1	131	879	882	927	4	54	11	14	61	16	4	25.00%	5	0	100.00%	1	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
13	Toronto Marlies	2	2	0	0	0	0	0	0	9	1	8	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	6	1	5	4	1.000	9	18	27	0	1	153	113	69	1	85	879	882	927	4	26	5	14	47	4	2	50.00%	7	1	85.71%	0	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
14	Utica Comets	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	4	1	3	4	1.000	9	17	26	0	0	153	113	69	1	57	879	882	927	4	21	5	13	26	11	2	18.18%	4	0	100.00%	0	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
	Total	72	63	8	0	0	0	1	0	336	51	285	36	33	3	0	0	0	0	0	162	25	137	36	30	5	0	0	0	1	0	174	26	148	128	0.889	336	612	948	0	45	153	113	69	1	2689	879	882	927	4	770	211	432	1194	193	31	16.06%	177	8	95.48%	5	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
	_Since Last GM Reset	72	63	8	0	0	0	1	0	336	51	285	36	33	3	0	0	0	0	0	162	25	137	36	30	5	0	0	0	1	0	174	26	148	128	0.889	336	612	948	0	45	153	113	69	1	2689	879	882	927	4	770	211	432	1194	193	31	16.06%	177	8	95.48%	5	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
	_Vs Conference	62	53	8	0	0	0	1	0	290	44	246	31	28	3	0	0	0	0	0	142	21	121	31	25	5	0	0	0	1	0	148	23	125	108	0.871	290	527	817	0	40	153	113	69	1	2288	879	882	927	4	669	190	371	1001	171	25	14.62%	152	8	94.74%	5	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453
	_Vs Division	26	24	0	0	0	0	0	0	83	34	49	13	12	0	0	0	0	0	0	37	14	23	13	12	0	0	0	0	0	0	46	20	26	48	0.923	83	153	236	0	11	153	113	69	1	734	879	882	927	4	365	113	207	414	89	12	13.48%	91	8	91.21%	1	1688	2071	81.51%	810	1062	76.27%	779	972	80.14%	2719	2214	886	308	718	453

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
72	128	W46	336	612	948	2689	770	211	432	1194	0	45

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
72	63	8	0	0	1	0	336	51

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	33	3	0	0	0	0	162	25

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	30	5	0	0	1	0	174	26

Last 10 Games
W	L	OTW	OTL	SOW	SOL
10	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
193	31	16.06%	177	8	95.48%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
879	882	927	4	153	113	69	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1688	2071	81.51%	810	1062	76.27%	779	972	80.14%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2719	2214	886	308	718	453

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
4	1	Wilkes-Barre/Scranton Penguins	2	Charlotte Checkers	6	AL			BoxScore
5	16	Wilkes-Barre/Scranton Penguins	2	Charlotte Checkers	3	AL			BoxScore
11	34	Wilkes-Barre/Scranton Penguins	6	Hartford Wolf Pack	0	AW			BoxScore
12	46	Springfield Thunderbirds	3	Wilkes-Barre/Scranton Penguins	5	BW			BoxScore
16	68	Hershey Bears	1	Wilkes-Barre/Scranton Penguins	6	BW			BoxScore
19	87	Hartford Wolf Pack	0	Wilkes-Barre/Scranton Penguins	6	BW			BoxScore
20	99	Wilkes-Barre/Scranton Penguins	7	Hershey Bears	0	AW			BoxScore
23	109	Providence Bruins	2	Wilkes-Barre/Scranton Penguins	0	BL			BoxScore
25	117	Hershey Bears	0	Wilkes-Barre/Scranton Penguins	6	BW			BoxScore
26	125	Belleville Senators	0	Wilkes-Barre/Scranton Penguins	6	BW			BoxScore
32	152	Wilkes-Barre/Scranton Penguins	7	Syracuse Crunch	0	AW			BoxScore
33	162	Syracuse Crunch	3	Wilkes-Barre/Scranton Penguins	4	BW			BoxScore
37	187	Hershey Bears	0	Wilkes-Barre/Scranton Penguins	4	BW			BoxScore
39	196	Wilkes-Barre/Scranton Penguins	1	Providence Bruins	2	AL			BoxScore
40	214	Wilkes-Barre/Scranton Penguins	2	Providence Bruins	3	AL			BoxScore
44	230	Wilkes-Barre/Scranton Penguins	3	Hershey Bears	0	AW			BoxScore
46	238	Wilkes-Barre/Scranton Penguins	3	Charlotte Checkers	2	AW	X	X	BoxScore
47	250	Wilkes-Barre/Scranton Penguins	0	Charlotte Checkers	1	AL			BoxScore
51	272	Hershey Bears	0	Wilkes-Barre/Scranton Penguins	6	BW			BoxScore
53	282	Wilkes-Barre/Scranton Penguins	7	Springfield Thunderbirds	1	AW			BoxScore
54	293	Springfield Thunderbirds	0	Wilkes-Barre/Scranton Penguins	7	BW			BoxScore
60	320	Cleveland Monsters	0	Wilkes-Barre/Scranton Penguins	1	BW			BoxScore
61	331	Providence Bruins	0	Wilkes-Barre/Scranton Penguins	5	BW			BoxScore
65	353	Syracuse Crunch	4	Wilkes-Barre/Scranton Penguins	2	BL			BoxScore
67	361	Wilkes-Barre/Scranton Penguins	4	Utica Comets	1	AW			BoxScore
68	371	Rochester Americans	2	Wilkes-Barre/Scranton Penguins	1	BL			BoxScore
73	400	Wilkes-Barre/Scranton Penguins	4	Belleville Senators	0	AW			BoxScore
74	406	Wilkes-Barre/Scranton Penguins	5	Laval Rocket	1	AW			BoxScore
79	427	Wilkes-Barre/Scranton Penguins	7	Hershey Bears	1	AW			BoxScore
81	442	Charlotte Checkers	0	Wilkes-Barre/Scranton Penguins	2	BW			BoxScore
82	452	Charlotte Checkers	1	Wilkes-Barre/Scranton Penguins	2	BW			BoxScore
88	478	Wilkes-Barre/Scranton Penguins	7	Springfield Thunderbirds	1	AW			BoxScore
89	489	LeHigh Valley Phantoms	0	Wilkes-Barre/Scranton Penguins	7	BW			BoxScore
90	507	Hartford Wolf Pack	1	Wilkes-Barre/Scranton Penguins	5	BW			BoxScore
95	523	Wilkes-Barre/Scranton Penguins	4	Providence Bruins	1	AW			BoxScore
96	534	Wilkes-Barre/Scranton Penguins	6	Bridgeport Islanders	0	AW			BoxScore
98	550	Wilkes-Barre/Scranton Penguins	7	Springfield Thunderbirds	0	AW			BoxScore
100	558	Providence Bruins	0	Wilkes-Barre/Scranton Penguins	1	BW			BoxScore
103	578	Wilkes-Barre/Scranton Penguins	3	Hershey Bears	0	AW			BoxScore
104	591	Springfield Thunderbirds	1	Wilkes-Barre/Scranton Penguins	6	BW			BoxScore
107	602	Hartford Wolf Pack	0	Wilkes-Barre/Scranton Penguins	8	BW			BoxScore
109	612	Wilkes-Barre/Scranton Penguins	5	LeHigh Valley Phantoms	0	AW			BoxScore
110	623	Hershey Bears	0	Wilkes-Barre/Scranton Penguins	5	BW			BoxScore
114	648	Toronto Marlies	0	Wilkes-Barre/Scranton Penguins	3	BW			BoxScore
120	653	Wilkes-Barre/Scranton Penguins	6	Hartford Wolf Pack	0	AW			BoxScore
121	675	Wilkes-Barre/Scranton Penguins	4	LeHigh Valley Phantoms	0	AW			BoxScore
123	690	Wilkes-Barre/Scranton Penguins	8	LeHigh Valley Phantoms	1	AW			BoxScore
128	717	Wilkes-Barre/Scranton Penguins	6	Toronto Marlies	1	AW			BoxScore
130	729	Wilkes-Barre/Scranton Penguins	5	Rochester Americans	0	AW			BoxScore
131	736	Laval Rocket	0	Wilkes-Barre/Scranton Penguins	7	BW			BoxScore
135	764	LeHigh Valley Phantoms	0	Wilkes-Barre/Scranton Penguins	6	BW			BoxScore
137	770	Wilkes-Barre/Scranton Penguins	5	Hershey Bears	0	AW			BoxScore
138	785	Bridgeport Islanders	0	Wilkes-Barre/Scranton Penguins	6	BW			BoxScore
144	823	Charlotte Checkers	2	Wilkes-Barre/Scranton Penguins	3	BW			BoxScore
145	832	Charlotte Checkers	0	Wilkes-Barre/Scranton Penguins	1	BW			BoxScore
151	862	Wilkes-Barre/Scranton Penguins	6	LeHigh Valley Phantoms	0	AW			BoxScore
152	872	LeHigh Valley Phantoms	2	Wilkes-Barre/Scranton Penguins	6	BW			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
156	900	LeHigh Valley Phantoms	0	Wilkes-Barre/Scranton Penguins	3	BW			BoxScore
160	930	Wilkes-Barre/Scranton Penguins	4	Cleveland Monsters	1	AW			BoxScore
161	937	Wilkes-Barre/Scranton Penguins	1	Cleveland Monsters	0	AW			BoxScore
165	951	Wilkes-Barre/Scranton Penguins	5	Syracuse Crunch	0	AW			BoxScore
166	963	Utica Comets	3	Wilkes-Barre/Scranton Penguins	5	BW			BoxScore
167	976	Wilkes-Barre/Scranton Penguins	6	LeHigh Valley Phantoms	0	AW			BoxScore
173	1010	LeHigh Valley Phantoms	0	Wilkes-Barre/Scranton Penguins	9	BW			BoxScore
179	1041	Cleveland Monsters	0	Wilkes-Barre/Scranton Penguins	1	BW			BoxScore
180	1049	Wilkes-Barre/Scranton Penguins	5	Bridgeport Islanders	0	AW			BoxScore
181	1063	LeHigh Valley Phantoms	0	Wilkes-Barre/Scranton Penguins	6	BW			BoxScore
186	1081	Bridgeport Islanders	0	Wilkes-Barre/Scranton Penguins	5	BW			BoxScore
187	1092	Hershey Bears	0	Wilkes-Barre/Scranton Penguins	6	BW			BoxScore
188	1106	Wilkes-Barre/Scranton Penguins	5	Hershey Bears	0	AW			BoxScore
193	1118	Wilkes-Barre/Scranton Penguins	7	Hartford Wolf Pack	0	AW			BoxScore
194	1136	Wilkes-Barre/Scranton Penguins	9	LeHigh Valley Phantoms	0	AW			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	68,244	34,774
Attendance PCT	94.78%	96.59%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2862 - 95.39%	95,388$	3,433,976$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,123,598$	2,291,250$	1,856,164$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
11,690$	2,117,988$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	11,690$	0$

Wilkes-Barre/Scranton Penguins 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

Wilkes-Barre/Scranton Penguins 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

Wilkes-Barre/Scranton Penguins 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

Wilkes-Barre/Scranton Penguins 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

Wilkes-Barre/Scranton Penguins 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

	Wilkes-Barre/Scranton Penguins
	GP: 72 \| W: 64 \| L: 8 \| OTL: 0 \| P: 128 GF: 336 \| GA: 51 \| PP%: 16.06% \| PK%: 95.48% GM : Gilles Piette \| Morale : 50 \| Team Overall : N/A