	Wilkes-Barre/Scranton Penguins
	GP: 18 \| W: 13 \| L: 4 \| OTL: 1 \| P: 27 GF: 53 \| GA: 38 \| PP%: 15.38% \| PK%: 91.67% GM : Nick \| Morale : 50 \| Team Overall : 65 Next Games #322 vs Providence Bruins

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
	Wilkes-Barre/Scranton Penguins 13-4-1, 27pts	5	FINAL	4	Utica Comets 12-6-2, 26pts

Team Stats
L1	Streak	W1
6-3-1	Home Record	9-0-1
7-1-0	Home Record	3-6-1
8-2-0	Last 10 Games	6-3-1
2.94	Goals Per Game	3.20
2.11	Goals Against Per Game	3.25
15.38%	Power Play Percentage	24.19%
91.67%	Penalty Kill Percentage	84.62%

Wilkes-Barre/Scranton Penguins
13-4-1, 27pts

FINAL

Chicago Wolves
14-5-2, 30pts

Team Stats
L1	Streak	W8
6-3-1	Home Record	8-1-1
7-1-0	Home Record	6-4-1
8-2-0	Last 10 Games	9-1-0
2.94	Goals Per Game	3.62
2.11	Goals Against Per Game	2.19
15.38%	Power Play Percentage	22.22%
91.67%	Penalty Kill Percentage	78.79%

Providence Bruins
8-11-1, 17pts

2026-06-04

Wilkes-Barre/Scranton Penguins
13-4-1, 27pts

Team Stats
W1	Streak	L1
3-7-0	Home Record	6-3-1
5-4-1	Away Record	7-1-0
2-7-1	Last 10 Games	8-2-0
2.65	Goals Per Game	2.94
3.10	Goals Against Per Game	2.94
12.07%	Power Play Percentage	15.38%
80.26%	Penalty Kill Percentage	91.67%

Wilkes-Barre/Scranton Penguins
13-4-1, 27pts

2026-06-06

Cleveland Monsters
11-9-0, 22pts

Team Stats
L1	Streak	W2
6-3-1	Home Record	7-3-0
7-1-0	Away Record	4-6-0
8-2-0	Last 10 Games	5-5-0
2.94	Goals Per Game	2.80
2.11	Goals Against Per Game	2.80
15.38%	Power Play Percentage	15.28%
91.67%	Penalty Kill Percentage	85.51%

Wilkes-Barre/Scranton Penguins
13-4-1, 27pts

2026-06-08

Abbotsford Canucks
7-12-2, 16pts

Team Stats
L1	Streak	L4
6-3-1	Home Record	4-6-0
7-1-0	Away Record	3-6-2
8-2-0	Last 10 Games	4-6-0
2.94	Goals Per Game	2.57
2.11	Goals Against Per Game	2.57
15.38%	Power Play Percentage	17.57%
91.67%	Penalty Kill Percentage	77.63%

Team Leaders
	Goals Connor McMichael 12	Assists Luca Cagnoni 15

	Points Connor McMichael 20	Plus/Minus Connor McMichael 8

	Wins Joel Blomqvist 10	Save Percentage Nico Daws 0.929

Team Stats
Goals For 53 2.94 GFG	Shots For 635 35.28 Avg	Power Play Percentage 15.4% 12 GF	Offensive Zone Start 46.2%
Goals Against 38 2.11 GAA	Shots Against 496 27.56 Avg	Penalty Kill Percentage 91.7%% 4 GA	Defensive Zone Start 37.2%

Team Info
	General Manager	Nick
	Division	Division 3
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,488
	Season Tickets	0
Roster Info
	Pro Team	26
	Farm Team	19
	Contract Limit	45 / 55
	Prospects	14
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	37,100,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	0
Finance
	Year to Date Revenue	385,617$
	Year To Date Expenses	8,071,988$
	Estimated Season Revenue	1,195,413$
	Estimated Season Expenses	25,420,122$
	Current Bank Account	0$
	Projected Bank Account	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	Connor McMichael	0	X	X	X		100.00	66	42	88	83	65	84	85	73	77	69	77	77	25	64	65	76	50	69	0	25	4	1,750,000$
2	Parker Bell	0		X	X		100.00	74	72	62	75	79	92	91	79	75	74	73	62	71	63	61	83	50	69	0	22	3	1,750,000$
3	Jack McBain	0	X	X			100.00	96	92	71	79	84	65	89	63	77	71	62	77	25	65	65	70	50	68	0	25	5	2,000,000$
4	Matthew Coronato (R)	0		X	X		100.00	56	40	95	80	67	79	72	84	34	74	71	74	25	55	55	72	50	68	0	23	5	1,200,000$
5	Anthony Beauvillier	0		X	X		100.00	69	43	96	85	64	64	85	71	53	65	59	68	39	83	86	55	50	66	0	28	2	2,000,000$
6	Jiri Kulich (R)	0	X	X			100.00	71	65	85	78	68	74	73	73	82	66	76	71	66	51	51	83	50	66	0	22	6	950,000$
7	Matthew Poitras (R)	51	X	X	X		100.00	50	44	88	79	64	84	91	75	77	80	59	56	54	56	56	84	50	65	0	22	3	2,999,999$
8	Caleb Desnoyers (R)	0	X				100.00	52	46	80	76	66	83	95	78	72	71	71	56	75	44	44	95	50	65	0	19	3	925,000$
9	Adam Klapka	0	X		X		100.00	91	97	58	70	99	77	79	62	80	59	62	72	60	52	52	67	50	64	0	25	2	1,115,000$
10	Ethan Gauthier (R)	0		X	X		100.00	51	45	88	79	75	81	91	70	62	60	70	54	72	52	52	89	50	64	0	21	6	950,000$
11	Trevor Connelly (R)	0	X	X	X		100.00	64	58	54	77	62	81	92	75	65	69	67	57	69	48	48	93	50	64	0	20	2	925,000$
12	Clarke Caswell (R)	0		X			100.00	51	45	84	74	67	81	95	74	72	77	58	54	61	46	46	95	50	64	0	20	3	925,000$
13	Jayden Struble	0				X	100.00	92	73	64	80	77	70	69	74	25	65	63	75	25	61	57	73	50	69	0	24	5	1,300,000$
14	Kyle Burroughs	4				X	100.00	96	73	72	69	73	77	80	65	25	47	48	83	25	68	68	48	50	68	0	30	1	2,999,999$
15	Luca Cagnoni (R)	0				X	100.00	49	42	89	79	69	81	91	79	25	82	67	72	53	58	58	82	50	68	0	21	6	950,000$
16	Oliver Bonk	0				X	100.00	50	44	88	79	74	86	91	77	25	75	71	74	63	51	51	90	50	68	0	21	6	950,000$
17	Jordan Spence	0				X	100.00	77	47	90	83	64	70	96	67	25	64	48	72	25	63	64	75	50	67	0	25	4	2,100,000$
18	Owen Pickering (R)	0				X	100.00	53	50	87	73	75	75	91	65	25	68	52	69	46	59	55	85	50	64	0	22	6	950,000$
Scratches
1	Mike Hardman	0		X	X		100.00	73	70	91	65	78	76	77	66	50	59	70	67	62	54	54	65	50	63	0	27	1	750,000$
2	Cedric Pare	0	X				100.00	79	81	73	66	83	65	67	61	77	59	58	65	55	52	52	67	50	60	0	27	1	750,000$
3	Gage Quinney	22	X	X			100.00	73	67	97	62	73	64	67	60	78	60	57	65	55	50	50	49	50	59	0	30	1	750,000$
4	Tyler Benson	63		X	X		100.00	73	69	94	65	74	61	64	58	50	61	50	65	45	53	53	59	50	58	0	28	1	700,000$
5	Peetro Seppala	0				X	100.00	86	83	74	67	74	70	74	48	25	40	40	61	37	48	48	71	50	58	0	25	1	700,000$
6	Daniil Chayka (R)	0				X	100.00	76	71	88	68	74	69	74	45	25	35	39	60	37	49	49	75	50	57	0	23	5	700,000$

	TEAM AVERAGE						100.00	70	61	82	75	73	75	82	68	53	65	61	67	49	56	56	75	50	65

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	Nico Daws	0	100.00	62	60	59	80	68	71	80	75	77	61	78	53	53	70	50	67	0	25	6	1,400,000$
2	Joel Blomqvist	0	98.00	63	51	60	71	65	74	79	80	78	68	30	49	49	75	50	66	0	24	6	1,000,000$
Scratches

	TEAM AVERAGE		99.00	63	56	60	76	67	73	80	78	78	65	54	51	51	73	50	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	P/20	PSG	PSS	S1	S2	S3
1	Connor McMichael	Wilkes-Barre/Scranton Penguins (PIT)	C/LW/RW	18	12	8	20	8	0	2	43	81	19	44	14.81%	1	348	19.34	3	3	6	20	72	0	0	0	0	12	3	0	56.32%	451	0	1.15	1	1	1	1	2
2	Matthew Coronato	Wilkes-Barre/Scranton Penguins (PIT)	LW/RW	18	7	13	20	8	0	0	42	81	19	52	8.64%	3	334	18.56	3	4	7	23	72	0	0	0	0	0	2	0	27.27%	22	1	1.20	0	0	2	1	0
3	Jack McBain	Wilkes-Barre/Scranton Penguins (PIT)	C/LW	18	6	11	17	8	16	62	15	36	6	34	16.67%	4	331	18.44	1	3	4	8	71	0	0	0	0	2	1	1	48.72%	39	0	1.02	0	0	1	2	1
4	Luca Cagnoni	Wilkes-Barre/Scranton Penguins (PIT)	D	18	2	15	17	4	0	5	25	41	10	19	4.88%	23	403	22.41	1	5	6	23	72	0	0	0	0	43	0	0	0%	0	0	0.84	0	0	2	0	0
5	Jordan Spence	Wilkes-Barre/Scranton Penguins (PIT)	D	18	2	11	13	6	14	45	20	19	5	16	10.53%	21	392	21.83	1	3	4	10	72	0	2	2	0	36	0	1	0%	0	0	0.66	0	0	1	1	0
6	Oliver Bonk	Wilkes-Barre/Scranton Penguins (PIT)	D	18	3	8	11	-1	2	1	31	48	12	28	6.25%	25	434	24.15	2	1	3	22	63	0	0	0	0	41	1	0	0%	0	0	0.51	0	0	0	0	1
7	Caleb Desnoyers	Wilkes-Barre/Scranton Penguins (PIT)	C	18	3	5	8	0	4	7	29	35	4	29	8.57%	3	212	11.83	0	0	0	0	1	0	0	0	0	0	1	0	48.93%	280	0	0.75	1	2	0	2	0
8	Jiri Kulich	Wilkes-Barre/Scranton Penguins (PIT)	C/LW	18	3	4	7	-4	2	17	43	60	17	48	5.00%	2	349	19.41	0	2	2	11	61	0	1	1	1	25	0	0	50.83%	423	0	0.40	0	0	0	0	1
9	Jayden Struble	Wilkes-Barre/Scranton Penguins (PIT)	D	18	1	5	6	2	10	54	12	39	9	20	2.56%	19	351	19.51	0	1	1	17	61	0	0	0	2	37	0	0	0%	0	0	0.34	0	0	0	0	0
10	Ethan Gauthier	Wilkes-Barre/Scranton Penguins (PIT)	LW/RW	18	2	4	6	1	0	1	11	21	5	24	9.52%	0	262	14.61	0	0	0	0	0	0	1	1	1	51	0	0	38.10%	21	0	0.46	1	2	0	0	1
11	Trevor Connelly	Wilkes-Barre/Scranton Penguins (PIT)	C/LW/RW	18	5	1	6	1	8	45	25	37	9	39	13.51%	2	275	15.31	1	0	1	8	62	0	0	0	0	0	2	1	61.11%	18	0	0.44	0	0	0	1	3
12	Matthew Poitras	Wilkes-Barre/Scranton Penguins (PIT)	C/LW/RW	18	0	5	5	-6	0	2	21	29	8	21	0%	3	320	17.80	0	2	2	7	61	0	0	0	0	0	0	0	58.33%	24	0	0.31	0	0	0	0	0
13	Kyle Burroughs	Wilkes-Barre/Scranton Penguins (PIT)	D	18	0	4	4	1	22	52	6	15	6	6	0%	21	263	14.61	0	0	0	1	2	0	0	0	0	13	0	0	0%	0	0	0.30	0	0	0	0	0
14	Parker Bell	Wilkes-Barre/Scranton Penguins (PIT)	LW/RW	18	1	2	3	-6	14	39	14	39	10	30	2.56%	1	260	14.45	0	0	0	0	2	0	0	0	0	0	1	0	41.18%	17	0	0.23	0	0	0	0	0
15	Anthony Beauvillier	Wilkes-Barre/Scranton Penguins (PIT)	LW/RW	18	2	0	2	1	0	0	14	16	5	15	12.50%	1	164	9.13	0	0	0	0	0	1	0	1	1	28	0	0	36.36%	11	0	0.24	0	0	0	0	1
16	Adam Klapka	Wilkes-Barre/Scranton Penguins (PIT)	C/RW	18	2	0	2	1	2	29	21	11	3	8	18.18%	1	190	10.57	0	0	0	0	0	1	0	1	1	55	0	0	56.25%	224	0	0.21	0	0	0	1	0
17	Clarke Caswell	Wilkes-Barre/Scranton Penguins (PIT)	LW	18	0	2	2	0	0	0	5	16	0	10	0%	0	135	7.54	0	0	0	0	0	0	0	0	0	0	0	0	25.00%	8	0	0.29	0	0	0	0	0
18	Owen Pickering	Wilkes-Barre/Scranton Penguins (PIT)	D	18	0	1	1	-3	2	9	11	11	2	7	0%	21	330	18.36	0	0	0	0	0	0	0	0	0	5	0	0	0%	0	0	0.06	0	0	0	0	0
Team Total or Average				324	51	99	150	21	96	370	388	635	149	450	8.03%	151	5361	16.55	12	24	36	150	678	2	4	6	6	354	11	3	52.21%	1538	1	0.56	3	5	7	9	10

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	GS	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	EG	PS %	PSA	BG	S1	S2	S3
1	Joel Blomqvist	Wilkes-Barre/Scranton Penguins (PIT)	13	13	10	3	0	0.922	2.28	788	0	2	30	384	0	0.667	3	5	2	0	1
2	Nico Daws	Wilkes-Barre/Scranton Penguins (PIT)	5	5	3	1	1	0.929	1.56	307	0	2	8	112	0	1.000	3	13	0	2	1
Team Total or Average			18	13	4	1	0.923	2.08	1095	0	4	38	496	0		6	18	18	2	2	2

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 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
Adam Klapka	Wilkes-Barre/Scranton Penguins (PIT)	C/RW	25	2000-09-14	CZE	No	252 Lbs	6 ft8	No	No	Trade	2026-03-20	No	No	2	2024-12-29	False	False	Pro & Farm	1,115,000$	0$	0$	No	1,115,000$	-	-	-	-	-	-	-	-	1,115,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Anthony Beauvillier	Wilkes-Barre/Scranton Penguins (PIT)	LW/RW	28	1997-06-08	QUE	No	180 Lbs	5 ft11	No	No	Trade	2025-09-02	No	No	2	2024-12-29	False	False	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	-	-	-	-	-	-	-	-	2,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Caleb Desnoyers	Wilkes-Barre/Scranton Penguins (PIT)	C	19	2007-04-11	CAN	Yes	179 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2026-04-08	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Cedric Pare	Wilkes-Barre/Scranton Penguins (PIT)	C	27	1999-01-24	QUE	No	217 Lbs	6 ft4	No	No	Assign Manually		No	No	1	2026-04-12	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Clarke Caswell	Wilkes-Barre/Scranton Penguins (PIT)	LW	20	2006-02-02	CAN	Yes	185 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2026-04-08	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Connor McMichael	Wilkes-Barre/Scranton Penguins (PIT)	C/LW/RW	25	2001-01-15	ONT	No	180 Lbs	6 ft0	No	No	Trade	2025-05-30	No	No	4	2024-12-29	False	False	Pro & Farm	1,750,000$	0$	0$	No	1,750,000$	1,750,000$	1,750,000$	-	-	-	-	-	-	1,750,000$	1,750,000$	1,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Daniil Chayka	Wilkes-Barre/Scranton Penguins (PIT)	D	23	2002-10-22	RUS	Yes	196 Lbs	6 ft3	No	No	Assign Manually		No	No	5	2025-07-27	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	700,000$	700,000$	700,000$	700,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Ethan Gauthier	Wilkes-Barre/Scranton Penguins (PIT)	LW/RW	21	2005-01-26	CAN	Yes	197 Lbs	6 ft4	No	No	Trade	2026-04-12	No	No	6	2026-03-20	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Gage Quinney	Wilkes-Barre/Scranton Penguins (PIT)	C/LW	30	1995-07-29	USA	No	205 Lbs	5 ft11	No	No	Assign Manually		No	No	1	2026-04-12	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jack McBain	Wilkes-Barre/Scranton Penguins (PIT)	C/LW	25	2000-06-06	ONT	No	219 Lbs	6 ft4	No	No	Assign Manually	2025-06-10	No	No	5	2025-08-29	False	False	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	2,000,000$	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Jayden Struble	Wilkes-Barre/Scranton Penguins (PIT)	D	24	2001-09-08	USA	No	212 Lbs	6 ft0	No	No	Assign Manually	2025-05-30	No	No	5	2025-07-27	False	False	Pro & Farm	1,300,000$	0$	0$	No	1,300,000$	1,300,000$	1,300,000$	1,300,000$	-	-	-	-	-	1,300,000$	1,300,000$	1,300,000$	1,300,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Jiri Kulich	Wilkes-Barre/Scranton Penguins (PIT)	C/LW	22	2004-04-14	CZE	Yes	187 Lbs	6 ft0	No	No	Assign Manually		No	No	6	2026-03-20	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Joel Blomqvist	Wilkes-Barre/Scranton Penguins (PIT)	G	24	2002-01-10	FIN	No	190 Lbs	6 ft2	No	No	Trade	2026-04-08	No	No	6	2026-03-20	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Jordan Spence	Wilkes-Barre/Scranton Penguins (PIT)	D	25	2001-02-24	ATL	No	180 Lbs	5 ft11	No	No	Trade	2025-11-07	No	No	4	2025-01-10	False	False	Pro & Farm	2,100,000$	0$	0$	No	2,100,000$	2,100,000$	2,100,000$	-	-	-	-	-	-	2,100,000$	2,100,000$	2,100,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Kyle Burroughs	Wilkes-Barre/Scranton Penguins (PIT)	D	30	1995-07-12	BC	No	203 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2026-04-11	False	False	Pro & Farm	2,999,999$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luca Cagnoni	Wilkes-Barre/Scranton Penguins (PIT)	D	21	2004-12-21	CAN	Yes	195 Lbs	5 ft11	No	No	Assign Manually		No	No	6	2026-03-20	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Matthew Coronato	Wilkes-Barre/Scranton Penguins (PIT)	LW/RW	23	2002-11-14	USA	Yes	192 Lbs	5 ft10	No	No	Assign Manually		No	No	5	2025-07-27	False	False	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$	1,200,000$	1,200,000$	1,200,000$	-	-	-	-	-	1,200,000$	1,200,000$	1,200,000$	1,200,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Matthew Poitras	Wilkes-Barre/Scranton Penguins (PIT)	C/LW/RW	22	2004-03-10	CAN	Yes	180 Lbs	5 ft11	No	No	Assign Manually		No	No	3	2026-04-04	False	False	Pro & Farm	2,999,999$	0$	0$	No	2,999,999$	2,999,999$	-	-	-	-	-	-	-	2,999,999$	2,999,999$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Mike Hardman	Wilkes-Barre/Scranton Penguins (PIT)	LW/RW	27	1999-02-05	USA	No	210 Lbs	6 ft2	No	No	Trade	2026-04-10	No	No	1	2024-12-29	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Nico Daws	Wilkes-Barre/Scranton Penguins (PIT)	G	25	2000-12-22	GER	No	209 Lbs	6 ft4	No	No	Assign Manually		No	No	6	2026-03-20	False	False	Pro & Farm	1,400,000$	0$	0$	No	1,400,000$	1,400,000$	1,400,000$	1,400,000$	1,400,000$	-	-	-	-	1,400,000$	1,400,000$	1,400,000$	1,400,000$	1,400,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Oliver Bonk	Wilkes-Barre/Scranton Penguins (PIT)	D	21	2005-01-09	CAN	No	191 Lbs	6 ft5	No	No	Assign Manually	2025-08-02	No	No	6	2026-03-20	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Owen Pickering	Wilkes-Barre/Scranton Penguins (PIT)	D	22	2004-01-27	CAN	Yes	193 Lbs	6 ft5	No	No	Assign Manually	2025-08-05	No	No	6	2026-03-20	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	950,000$	950,000$	950,000$	950,000$	950,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Parker Bell	Wilkes-Barre/Scranton Penguins (PIT)	LW/RW	22	2003-09-26	CAN	No	208 Lbs	6 ft4	No	No	Assign Manually	2025-01-16	No	No	3	2026-04-06	False	False	Pro & Farm	1,750,000$	0$	0$	No	1,750,000$	1,750,000$	-	-	-	-	-	-	-	1,750,000$	1,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Peetro Seppala	Wilkes-Barre/Scranton Penguins (PIT)	D	25	2000-08-17	FIN	No	199 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2026-04-16	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Trevor Connelly	Wilkes-Barre/Scranton Penguins (PIT)	C/LW/RW	20	2006-02-28	USA	Yes	169 Lbs	6 ft2	No	No	Trade	2026-03-23	No	No	2	2025-08-21	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Tyler Benson	Wilkes-Barre/Scranton Penguins (PIT)	LW/RW	28	1998-03-15	CAN	No	206 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2026-04-12	False	False	Pro & Farm	700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	24.00	197 Lbs	6 ft2	3.62	1,288,077$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jack McBain	Connor McMichael	Matthew Coronato	30	1	1	3
2	Parker Bell	Jiri Kulich	Matthew Poitras	30	1	1	3
3	Trevor Connelly	Caleb Desnoyers	Ethan Gauthier	25	1	2	2
4	Clarke Caswell	Adam Klapka	Anthony Beauvillier	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Luca Cagnoni	Jordan Spence	30	1	2	2
2	Jayden Struble	Oliver Bonk	30	1	2	2
3	Owen Pickering	Kyle Burroughs	25	1	2	2
4	Owen Pickering	Oliver Bonk	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jack McBain	Connor McMichael	Matthew Coronato	60	1	2	2
2	Trevor Connelly	Jiri Kulich	Matthew Poitras	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Luca Cagnoni	Jordan Spence	60	1	2	2
2	Jayden Struble	Oliver Bonk	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Adam Klapka	Ethan Gauthier	60	1	2	2
2	Jiri Kulich	Anthony Beauvillier	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Luca Cagnoni	Jordan Spence	60	1	2	2
2	Jayden Struble	Oliver Bonk	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Adam Klapka	60	1	2	2	Luca Cagnoni	Jordan Spence	60	1	2	2
2	Jiri Kulich	40	1	2	2	Jayden Struble	Oliver Bonk	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Connor McMichael	Matthew Coronato	60	1	2	2
2	Jiri Kulich	Parker Bell	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Luca Cagnoni	Jordan Spence	60	1	2	2
2	Jayden Struble	Oliver Bonk	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jack McBain	Connor McMichael	Matthew Coronato	Luca Cagnoni	Jordan Spence

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jack McBain	Jiri Kulich	Connor McMichael	Luca Cagnoni	Jordan Spence

Extra Forwards
Normal	PowerPlay	Penalty Kill
Matthew Poitras, Trevor Connelly, Caleb Desnoyers	Parker Bell, Caleb Desnoyers	Connor McMichael

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jordan Spence, Oliver Bonk, Owen Pickering	Oliver Bonk	Kyle Burroughs, Owen Pickering

Penalty Shots
Caleb Desnoyers, Ethan Gauthier, Connor McMichael, Trevor Connelly, Jiri Kulich

Goalie
#1 : Joel Blomqvist, #2 : Nico Daws

Custom OT Lines Forwards
Matthew Coronato, Connor McMichael, Jack McBain, Jiri Kulich, Matthew Poitras, Trevor Connelly, Trevor Connelly, Ethan Gauthier, Parker Bell, Caleb Desnoyers, Adam Klapka

Custom OT Lines Defensemen
Luca Cagnoni, Jordan Spence, Oliver Bonk, Jayden Struble, Owen Pickering

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	Charlotte Checkers	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	0	2	2	1.000	2	4	6	0	1	17	16	16	5	35	192	230	197	21	34	7	4	11	4	1	25.00%	2	0	100.00%	1	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
2	Chicago Wolves	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	4	6	0	0	17	16	16	5	19	192	230	197	21	34	3	6	19	2	1	50.00%	3	0	100.00%	0	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
3	Hartford Wolf Pack	1	1	0	0	0	0	0	0	8	2	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	2	6	2	1.000	8	16	24	0	0	17	16	16	5	37	192	230	197	21	31	11	6	27	6	2	33.33%	3	0	100.00%	0	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
4	Henderson Silver Knights	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	17	16	16	5	35	192	230	197	21	41	11	12	22	2	0	0.00%	6	0	100.00%	0	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
5	Lehigh Valley Phantoms	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	17	16	16	5	34	192	230	197	21	25	3	6	21	6	0	0.00%	3	1	66.67%	1	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
6	Milwaukee Admirals	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	5	8	0	0	17	16	16	5	26	192	230	197	21	31	12	12	28	2	0	0.00%	6	0	100.00%	0	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
7	Providence Bruins	3	1	1	0	0	1	0	0	8	8	0	2	0	1	0	0	1	0	0	4	6	-2	1	1	0	0	0	0	0	0	4	2	2	3	0.500	8	15	23	0	0	17	16	16	5	86	192	230	197	21	71	22	14	51	14	2	14.29%	7	1	85.71%	0	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
8	Rockford IceHogs	4	1	1	0	0	0	2	0	8	8	0	3	0	1	0	0	0	2	0	7	8	-1	1	1	0	0	0	0	0	0	1	0	1	6	0.750	8	12	20	0	1	17	16	16	5	147	192	230	197	21	98	31	16	90	22	2	9.09%	8	1	87.50%	0	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
9	San Diego Gulls	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	17	16	16	5	44	192	230	197	21	29	7	0	22	3	0	0.00%	0	0	0%	0	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
10	Syracuse Crunch	3	2	1	0	0	0	0	0	7	2	5	3	2	1	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	4	0.667	7	14	21	0	2	17	16	16	5	128	192	230	197	21	67	35	16	62	13	3	23.08%	8	0	100.00%	0	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
11	Utica Comets	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	5	4	1	2	1.000	5	10	15	0	0	17	16	16	5	44	192	230	197	21	35	9	4	17	4	1	25.00%	2	1	50.00%	0	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
	Total	18	9	4	0	2	1	2	0	53	38	15	10	4	3	0	0	1	2	0	25	20	5	8	5	1	0	2	0	0	0	28	18	10	27	0.750	53	99	152	0	4	17	16	16	5	635	192	230	197	21	496	151	96	370	78	12	15.38%	48	4	91.67%	2	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
	_Since Last GM Reset	18	9	4	0	2	1	2	0	53	38	15	10	4	3	0	0	1	2	0	25	20	5	8	5	1	0	2	0	0	0	28	18	10	27	0.750	53	99	152	0	4	17	16	16	5	635	192	230	197	21	496	151	96	370	78	12	15.38%	48	4	91.67%	2	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119
	_Vs Conference	11	7	2	0	1	1	0	0	38	22	16	7	4	2	0	0	1	0	0	18	12	6	4	3	0	0	1	0	0	0	20	10	10	17	0.773	38	74	112	0	2	17	16	16	5	408	192	230	197	21	299	98	58	222	48	8	16.67%	29	3	89.66%	1	361	700	51.57%	308	563	54.71%	134	251	53.39%	481	343	381	130	233	119

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
18	27	L1	53	99	152	635	496	151	96	370	0	4

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	9	4	2	1	2	0	53	38

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	4	3	0	1	2	0	25	20

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	1	2	0	0	0	28	18

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	2	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
78	12	15.38%	48	4	91.67%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
192	230	197	21	17	16	16	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
361	700	51.57%	308	563	54.71%	134	251	53.39%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
481	343	381	130	233	119

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
3 - 2026-04-27	16	Providence Bruins	4	Wilkes-Barre/Scranton Penguins	3	L	X		BoxScore
4 - 2026-04-28	23	Wilkes-Barre/Scranton Penguins	1	Rockford IceHogs	0	W			BoxScore
7 - 2026-05-01	49	Syracuse Crunch	0	Wilkes-Barre/Scranton Penguins	2	W			BoxScore
9 - 2026-05-03	69	Rockford IceHogs	2	Wilkes-Barre/Scranton Penguins	3	W	X	X	BoxScore
12 - 2026-05-06	91	Providence Bruins	2	Wilkes-Barre/Scranton Penguins	1	L			BoxScore
14 - 2026-05-08	107	Wilkes-Barre/Scranton Penguins	2	Charlotte Checkers	0	W			BoxScore
15 - 2026-05-09	121	Lehigh Valley Phantoms	2	Wilkes-Barre/Scranton Penguins	4	W			BoxScore
20 - 2026-05-14	158	Syracuse Crunch	2	Wilkes-Barre/Scranton Penguins	1	L			BoxScore
22 - 2026-05-16	171	Wilkes-Barre/Scranton Penguins	3	Milwaukee Admirals	2	W	X		BoxScore
24 - 2026-05-18	191	Rockford IceHogs	2	Wilkes-Barre/Scranton Penguins	3	W	X	X	BoxScore
25 - 2026-05-19	200	Wilkes-Barre/Scranton Penguins	8	Hartford Wolf Pack	2	W			BoxScore
27 - 2026-05-21	215	Wilkes-Barre/Scranton Penguins	3	San Diego Gulls	2	W			BoxScore
29 - 2026-05-23	228	Rockford IceHogs	4	Wilkes-Barre/Scranton Penguins	1	L			BoxScore
31 - 2026-05-25	244	Wilkes-Barre/Scranton Penguins	4	Providence Bruins	2	W			BoxScore
33 - 2026-05-27	258	Syracuse Crunch	0	Wilkes-Barre/Scranton Penguins	4	W			BoxScore
36 - 2026-05-30	287	Henderson Silver Knights	2	Wilkes-Barre/Scranton Penguins	3	W			BoxScore
38 - 2026-06-01	300	Wilkes-Barre/Scranton Penguins	5	Utica Comets	4	W	X		BoxScore
40 - 2026-06-03	318	Wilkes-Barre/Scranton Penguins	2	Chicago Wolves	6	L			BoxScore
41 - 2026-06-04	322	Providence Bruins	-	Wilkes-Barre/Scranton Penguins	-
43 - 2026-06-06	342	Wilkes-Barre/Scranton Penguins	-	Cleveland Monsters	-
45 - 2026-06-08	357	Wilkes-Barre/Scranton Penguins	-	Abbotsford Canucks	-
47 - 2026-06-10	373	Iowa Wild	-	Wilkes-Barre/Scranton Penguins	-
48 - 2026-06-11	389	Ontario Reign	-	Wilkes-Barre/Scranton Penguins	-
51 - 2026-06-14	407	Wilkes-Barre/Scranton Penguins	-	Henderson Silver Knights	-
53 - 2026-06-16	420	Colorado Eagles	-	Wilkes-Barre/Scranton Penguins	-
55 - 2026-06-18	444	Wilkes-Barre/Scranton Penguins	-	Chicago Wolves	-
56 - 2026-06-19	450	Bridgeport Islanders	-	Wilkes-Barre/Scranton Penguins	-
59 - 2026-06-22	471	Wilkes-Barre/Scranton Penguins	-	Texas Stars	-
60 - 2026-06-23	481	Hartford Wolf Pack	-	Wilkes-Barre/Scranton Penguins	-
62 - 2026-06-25	497	Wilkes-Barre/Scranton Penguins	-	Grand Rapids Griffins	-
64 - 2026-06-27	517	San Jose Barracuda	-	Wilkes-Barre/Scranton Penguins	-
66 - 2026-06-29	534	Wilkes-Barre/Scranton Penguins	-	Charlotte Checkers	-
68 - 2026-07-01	548	Charlotte Checkers	-	Wilkes-Barre/Scranton Penguins	-
70 - 2026-07-03	562	Wilkes-Barre/Scranton Penguins	-	San Jose Barracuda	-
72 - 2026-07-05	579	Manitoba Moose	-	Wilkes-Barre/Scranton Penguins	-
74 - 2026-07-07	600	Wilkes-Barre/Scranton Penguins	-	Lehigh Valley Phantoms	-
75 - 2026-07-08	610	Syracuse Crunch	-	Wilkes-Barre/Scranton Penguins	-
77 - 2026-07-10	629	Wilkes-Barre/Scranton Penguins	-	Ontario Reign	-
79 - 2026-07-12	642	Tucson Roadrunners	-	Wilkes-Barre/Scranton Penguins	-
81 - 2026-07-14	658	Wilkes-Barre/Scranton Penguins	-	Providence Bruins	-
83 - 2026-07-16	671	Wilkes-Barre/Scranton Penguins	-	Bakersfield Condors	-
84 - 2026-07-17	681	Charlotte Checkers	-	Wilkes-Barre/Scranton Penguins	-
87 - 2026-07-20	705	Rockford IceHogs	-	Wilkes-Barre/Scranton Penguins	-
88 - 2026-07-21	716	Wilkes-Barre/Scranton Penguins	-	Belleville Senators	-
90 - 2026-07-23	737	Tucson Roadrunners	-	Wilkes-Barre/Scranton Penguins	-
92 - 2026-07-25	755	Wilkes-Barre/Scranton Penguins	-	Ontario Reign	-
94 - 2026-07-27	770	Wilkes-Barre/Scranton Penguins	-	Rochester Americans	-
95 - 2026-07-28	775	Belleville Senators	-	Wilkes-Barre/Scranton Penguins	-
98 - 2026-07-31	799	Wilkes-Barre/Scranton Penguins	-	Rockford IceHogs	-
99 - 2026-08-01	808	Cleveland Monsters	-	Wilkes-Barre/Scranton Penguins	-
102 - 2026-08-04	831	Wilkes-Barre/Scranton Penguins	-	Hartford Wolf Pack	-
103 - 2026-08-05	840	Milwaukee Admirals	-	Wilkes-Barre/Scranton Penguins	-
105 - 2026-08-07	860	Utica Comets	-	Wilkes-Barre/Scranton Penguins	-
107 - 2026-08-09	872	Wilkes-Barre/Scranton Penguins	-	San Diego Gulls	-
109 - 2026-08-11	894	Laval Rocket	-	Wilkes-Barre/Scranton Penguins	-
111 - 2026-08-13	910	Wilkes-Barre/Scranton Penguins	-	Henderson Silver Knights	-
113 - 2026-08-15	926	Wilkes-Barre/Scranton Penguins	-	Bridgeport Islanders	-
114 - 2026-08-16	933	Calgary Wranglers	-	Wilkes-Barre/Scranton Penguins	-
117 - 2026-08-19	961	Hershey Bears	-	Wilkes-Barre/Scranton Penguins	-
119 - 2026-08-21	970	Wilkes-Barre/Scranton Penguins	-	Coachella Valley Firebirds	-
122 - 2026-08-24	994	Belleville Senators	-	Wilkes-Barre/Scranton Penguins	-
123 - 2026-08-25	1005	Wilkes-Barre/Scranton Penguins	-	Toronto Marlies	-
Trade Deadline --- Trades can’t be done after this day is simulated!
125 - 2026-08-27	1025	Springfield Thunderbirds	-	Wilkes-Barre/Scranton Penguins	-
127 - 2026-08-29	1031	Wilkes-Barre/Scranton Penguins	-	Rochester Americans	-
130 - 2026-09-01	1058	Henderson Silver Knights	-	Wilkes-Barre/Scranton Penguins	-
132 - 2026-09-03	1072	Wilkes-Barre/Scranton Penguins	-	Manitoba Moose	-
133 - 2026-09-04	1078	Wilkes-Barre/Scranton Penguins	-	Hershey Bears	-
135 - 2026-09-06	1096	Hershey Bears	-	Wilkes-Barre/Scranton Penguins	-
138 - 2026-09-09	1123	Springfield Thunderbirds	-	Wilkes-Barre/Scranton Penguins	-
140 - 2026-09-11	1134	Wilkes-Barre/Scranton Penguins	-	Milwaukee Admirals	-
142 - 2026-09-13	1154	Milwaukee Admirals	-	Wilkes-Barre/Scranton Penguins	-
143 - 2026-09-14	1164	Wilkes-Barre/Scranton Penguins	-	Syracuse Crunch	-
147 - 2026-09-18	1187	Providence Bruins	-	Wilkes-Barre/Scranton Penguins	-
149 - 2026-09-20	1206	Wilkes-Barre/Scranton Penguins	-	Hershey Bears	-
150 - 2026-09-21	1213	Wilkes-Barre/Scranton Penguins	-	Manitoba Moose	-
151 - 2026-09-22	1223	Wilkes-Barre/Scranton Penguins	-	Syracuse Crunch	-
153 - 2026-09-24	1234	Texas Stars	-	Wilkes-Barre/Scranton Penguins	-
156 - 2026-09-27	1257	San Diego Gulls	-	Wilkes-Barre/Scranton Penguins	-
158 - 2026-09-29	1267	Wilkes-Barre/Scranton Penguins	-	Rockford IceHogs	-
161 - 2026-10-02	1285	San Diego Gulls	-	Wilkes-Barre/Scranton Penguins	-
164 - 2026-10-05	1307	Wilkes-Barre/Scranton Penguins	-	Tucson Roadrunners	-
165 - 2026-10-06	1311	Wilkes-Barre/Scranton Penguins	-	Belleville Senators	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	19,148	5,729
Attendance PCT	95.74%	57.29%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
31	2488 - 82.92%	38,562$	385,617$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
8,071,988$	33,489,998$	33,489,998$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	8,071,988$	0$	0	0

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary	Sum Year 6 Salary
33,489,998$ Retained salaries: 0$	26,839,999$ Retained salaries: 0$	22,799,999$ Retained salaries: 0$	16,200,000$ Retained salaries: 0$	12,350,000$ Retained salaries: 0$	7,150,000$ Retained salaries: 0$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
0$	37,100,000$	37,100,000$	-60,200,000$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,195,413$	126	201,747$	25,420,122$

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

Back to the Top